create: new folder

TestPython/answer_bab1_percobaan1.py

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+import pandas as pd
+
+url="https://raw.githubusercontent.com/noora20FH/skripsi_noora2023/main/purchases.csv"
+
+def data_load():
+  df =pd.read_csv(url)
+  return df
+
+print(data_load())

TestPython/answer_bab1_percobaan2.py

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+import pandas as pd
+
+url="https://raw.githubusercontent.com/noora20FH/skripsi_noora2023/main/online_store_data.csv"
+
+def data_load():
+  df =pd.read_csv(url)
+  return df
+
+def sample_rows():
+  sample = data_load().head(1)
+  return sample
+
+print(sample_rows())

TestPython/answer_bab2_percobaan2.py

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+
+
+import numpy as np
+import pandas as pd
+
+# Sample data (replace with your actual data)
+
+url = "https://raw.githubusercontent.com/noora20FH/skripsi_noora2023/main/nyc_perumahan.csv"  # Replace with your actual URL
+
+# Read the CSV directly from the URL
+data_toko = pd.read_csv(url)
+def load_data():
+
+  df = pd.read_csv(url)
+  return df
+
+def clean_columns():
+  unnecessary_columns = ['BLOCK', 'LOT','EASE-MENT','TAX CLASS AT PRESENT','TAX CLASS AT TIME OF SALE']
+  df = load_data().drop(unnecessary_columns, axis=1)
+  return df
+
+def clean_columns_name():
+  clean_names = {
+      "BOROUGH":"BOROUGH", 
+      "NEIGHBORHOOD":"NEIGHBORHOOD",
+      "ADDRESS":"ADDRESS",
+      "BUILDING CLASS CATEGORY": "BUILDING_CLASS_CATEGORY",
+      "BUILDING CLASS AT PRESENT":"BUILDING_CLASS_AT_PRESENT",
+      "APARTMENT NUMBER": "APARTMENT_NUMBER",
+      "ZIP CODE": "ZIP_CODE",
+      "RESIDENTIAL UNITS": "RESIDENTIAL_UNITS",
+      "COMMERCIAL UNITS": "COMMERCIAL_UNITS",
+      "TOTAL UNITS": "TOTAL_UNITS",
+      "LAND SQUARE FEET": "LAND_SQUARE_FEET",
+      "GROSS SQUARE FEET": "GROSS_SQUARE_FEET",
+      "Box Office (Millions USD)": "Box_Office",
+      "YEAR BUILT": "YEAR_BUILT",
+      "BUILDING CLASS AT TIME OF SALE": "BUILDING_CLASS_AT_TIME_OF_SALE",
+      "SALE PRICE": "SALE_PRICE",
+      "SALE DATE": "SALE_DATE"
+  }
+  data = clean_columns().rename(columns=clean_names)
+  return data
+print(clean_columns_name().columns)

TestPython/answer_bab2_percobaan3.py

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+import pandas as pd
+
+def load_data():
+  url = "https://raw.githubusercontent.com/noora20FH/skripsi_noora2023/main/data.csv"
+  df = pd.read_csv(url)
+  return df
+
+def updated_data():
+  updatdf = load_data().fillna(load_data()['Calories'].mean())
+  return updated_df
+

TestPython/answer_bab3_percobaan2.py

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+import pandas as pd
+
+url = "https://raw.githubusercontent.com/noora20FH/skripsi_noora2023/master/data_toko.csv"  # Replace with your actual URL
+
+# Read the CSV directly from the URL
+def data_load():
+  data_toko = pd.read_csv(url)
+  return data_toko
+
+# Tampilkan 5 baris pertama DataFrame
+def head_rows():
+  return data_load().head()
+
+# Hitung pendapatan total dari penjualan semua produk
+def updated_data():
+  df = data_load().copy()
+  # Assuming columns "Unit price" and "Quantity" exist
+  df["Total Revenue"] = df["Unit price"] * df["Quantity"]
+  return df
+
+# Calculate total pendapatan (revenue)
+def total_pendapatan():
+  return updated_data()['Total Revenue'].sum()
+
+# Print the total pendapatan
+print("Total Pendapatan:", total_pendapatan())

TestPython/answer_bab3_percobaan3.py

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+
+import pandas as pd
+
+url = "https://raw.githubusercontent.com/noora20FH/skripsi_noora2023/main/clean_movie_data.csv"  # Replace with your actual URL
+
+# Read the CSV directly from the URL
+
+def data_load():
+  data_toko = pd.read_csv(url)
+  return data_toko
+
+
+# Convert Critic Score to NumPy array
+def critic_scores():
+  critic_scores = data_load()["Critic_Score"].to_numpy()
+  return critic_scores
+
+# Sort the movies by Critic Score in descending order (highest to lowest)
+def sorted_indices():
+  sorted_indices = critic_scores().argsort()[::-1]
+  return sorted_indices
+
+
+# Select the top 10 movies
+def top_10_movies():
+  top_10_movies = data_load().iloc[sorted_indices()[:10]]
+  return top_10_movies
+
+# Print Top 10 Movie
+print(top_10_movies())

TestPython/answer_bab3_percobaan4.py

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+import pandas as pd
+
+# Create a dictionary with customer data (replace with your actual data)
+
+url = "https://raw.githubusercontent.com/noora20FH/skripsi_noora2023/main/purchases.csv"
+
+# Create a pandas DataFrame from the dictionary
+
+def data_load():
+  df = pd.read_csv(url)
+  return df
+
+#show first five rows
+def head_rows():
+  return data_load().sample(5)
+# Descriptive Statistics
+
+
+# Print additional statistics for each variable (age and total spent)
+print("Customer Age:")
+print(f"  Mean: {data_load()['Age'].mean()}")
+print(f"  Median: {data_load()['Age'].median()}")
+print(f"  Standard Deviation: {data_load()['Age'].std()}")
+print(f"  Skewness: {data_load()['Age'].skew()}")
+print(f"  Quartiles: {data_load()['Age'].quantile([0.25, 0.5, 0.75])}")
+
+print("\nTotal Spent:")
+print(f"  Mean: {data_load()['Total Spent (USD)'].mean()}")
+print(f"  Median: {data_load()['Total Spent (USD)'].median()}")
+print(f"  Standard Deviation: {data_load()['Total Spent (USD)'].std()}")
+print(f"  Skewness: {data_load()['Total Spent (USD)'].skew()}")
+print(f"  Quartiles: {data_load()['Total Spent (USD)'].quantile([0.25, 0.5, 0.75])}")
+
+
+# Calculate the correlation coefficient between customer age and total spent
+def correlation():
+  correlation = data_load()["Age"].corr(data_load()["Total Spent (USD)"])
+  return correlation
+print(f"Correlation Coefficient: {correlation()}")

TestPython/answer_bab3_percobaan5.py

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+import pandas as pd
+
+url = "https://raw.githubusercontent.com/noora20FH/skripsi_noora2023/main/penjualan_elektronik.csv"
+# Memuat data
+def load_data():
+ 
+  data = pd.read_csv(url)
+  return data
+
+# Menghitung Measures of Central Tendency
+def mean_penjualan():
+  mean_penjualan = load_data()['Jumlah Terjual'].mean()
+  return mean_penjualan
+
+def median_penjualan():
+  median_penjualan = load_data()['Jumlah Terjual'].median()
+  return median_penjualan
+
+def mode_penjualan():
+  mode_penjualan = load_data()['Jumlah Terjual'].mode().iloc[0]  # Assuming mode returns a Series
+  return mode_penjualan
+
+print(f"Rata-rata penjualan: {mean_penjualan()}")
+print(f"Median penjualan: {median_penjualan()}")
+print(f"Mode penjualan: {mode_penjualan()}")

TestPython/answer_bab4_percobaan1.py

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+import pandas as pd
+import matplotlib.pyplot as plt
+
+def load_data():
+    url = "https://raw.githubusercontent.com/noora20FH/skripsi_noora2023/main/age_group.csv"
+    df = pd.read_csv(url)
+    return df
+
+def create_pie_chart():
+    df = load_data()
+    get_population_col = df['Population']
+    get_age_col = df['Age Group']
+
+    fig_size = plt.figure(figsize=(10, 8))
+    plt.pie(get_population_col, labels=get_age_col, autopct='%1.1f%%', startangle=90)
+    plt.legend(title="Age Group")
+    plt.title('Age Distribution in the City')
+    plt.axis('equal')
+    plt.show()
+
+# Call the function to create the pie chart
+create_pie_chart()

TestPython/answer_chapter1_experiments1.py

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+import pandas as pd
+
+url="https://raw.githubusercontent.com/noora20FH/skripsi_noora2023/main/purchases.csv"
+
+def data_load():
+  df =pd.read_csv(url)
+  return df
+
+print(data_load())

TestPython/answer_chapter1_experiments2.py

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+import pandas as pd
+
+url="https://raw.githubusercontent.com/noora20FH/skripsi_noora2023/main/online_store_data.csv"
+
+def data_load():
+  df =pd.read_csv(url)
+  return df
+
+def sample_rows():
+  sample = data_load().head(1)
+  return sample
+
+print(sample_rows())

TestPython/answer_chapter2_experiments2.py

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+
+
+import numpy as np
+import pandas as pd
+
+# Sample data (replace with your actual data)
+
+url = "https://raw.githubusercontent.com/noora20FH/skripsi_noora2023/main/nyc_perumahan.csv"  # Replace with your actual URL
+
+# Read the CSV directly from the URL
+data_toko = pd.read_csv(url)
+def load_data():
+
+  df = pd.read_csv(url)
+  return df
+
+def clean_columns():
+  unnecessary_columns = ['BLOCK', 'LOT','EASE-MENT','TAX CLASS AT PRESENT','TAX CLASS AT TIME OF SALE']
+  df = load_data().drop(unnecessary_columns, axis=1)
+  return df
+
+def clean_columns_name():
+  clean_names = {
+      "BOROUGH":"BOROUGH", 
+      "NEIGHBORHOOD":"NEIGHBORHOOD",
+      "ADDRESS":"ADDRESS",
+      "BUILDING CLASS CATEGORY": "BUILDING_CLASS_CATEGORY",
+      "BUILDING CLASS AT PRESENT":"BUILDING_CLASS_AT_PRESENT",
+      "APARTMENT NUMBER": "APARTMENT_NUMBER",
+      "ZIP CODE": "ZIP_CODE",
+      "RESIDENTIAL UNITS": "RESIDENTIAL_UNITS",
+      "COMMERCIAL UNITS": "COMMERCIAL_UNITS",
+      "TOTAL UNITS": "TOTAL_UNITS",
+      "LAND SQUARE FEET": "LAND_SQUARE_FEET",
+      "GROSS SQUARE FEET": "GROSS_SQUARE_FEET",
+      "Box Office (Millions USD)": "Box_Office",
+      "YEAR BUILT": "YEAR_BUILT",
+      "BUILDING CLASS AT TIME OF SALE": "BUILDING_CLASS_AT_TIME_OF_SALE",
+      "SALE PRICE": "SALE_PRICE",
+      "SALE DATE": "SALE_DATE"
+  }
+  data = clean_columns().rename(columns=clean_names)
+  return data
+print(clean_columns_name().columns)

TestPython/answer_chapter2_experiments3.py

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+import pandas as pd
+
+def load_data():
+  url = "https://raw.githubusercontent.com/noora20FH/skripsi_noora2023/main/data.csv"
+  df = pd.read_csv(url)
+  return df
+
+def updated_data():
+  updatdf = load_data().fillna(load_data()['Calories'].mean())
+  return updated_df
+

TestPython/answer_chapter3_experiments1.py

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+import numpy as np
+
+# Asumsikan array NumPy 3 dimensi bernama 'data_penjualan'
+data_penjualan = np.array([
+    # Kategori 1 (Elektronik)
+    [[10, 20, 30],  # Bulan 1
+     [40, 50, 60],  # Bulan 2
+     [70, 80, 90]], # Bulan 3
+
+    # Kategori 2 (Pakaian)
+    [[100, 110, 120], # Bulan 1
+     [130, 140, 150], # Bulan 2
+     [160, 170, 180]], # Bulan 3
+
+    # Kategori 3 (Mainan)
+    [[190, 200, 210], # Bulan 1
+     [220, 230, 240], # Bulan 2
+     [250, 260, 270]]  # Bulan 3
+])
+
+# Potong kotak ke-1, baris ke-2, dan kolom ke-1 hingga ke-2
+data_spesifik = data_penjualan[0, 1, 1:3]
+
+print(data_spesifik)

TestPython/answer_chapter3_experiments2.py

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+import pandas as pd
+
+url = "https://raw.githubusercontent.com/noora20FH/skripsi_noora2023/master/data_toko.csv"  # Replace with your actual URL
+
+# Read the CSV directly from the URL
+def data_load():
+  data_toko = pd.read_csv(url)
+  return data_toko
+
+# Tampilkan 5 baris pertama DataFrame
+def head_rows():
+  return data_load().head()
+
+# Hitung pendapatan total dari penjualan semua produk
+def updated_data():
+  df = data_load().copy()
+  # Assuming columns "Unit price" and "Quantity" exist
+  df["Total Revenue"] = df["Unit price"] * df["Quantity"]
+  return df
+
+# Calculate total pendapatan (revenue)
+def total_pendapatan():
+  return updated_data()['Total Revenue'].sum()
+
+# Print the total pendapatan
+print("Total Pendapatan:", total_pendapatan())

TestPython/answer_chapter3_experiments3.py

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+
+import pandas as pd
+
+url = "https://raw.githubusercontent.com/noora20FH/skripsi_noora2023/main/clean_movie_data.csv"  # Replace with your actual URL
+
+# Read the CSV directly from the URL
+
+def data_load():
+  data_toko = pd.read_csv(url)
+  return data_toko
+
+
+# Convert Critic Score to NumPy array
+def critic_scores():
+  critic_scores = data_load()["Critic_Score"].to_numpy()
+  return critic_scores
+
+# Sort the movies by Critic Score in descending order (highest to lowest)
+def sorted_indices():
+  sorted_indices = critic_scores().argsort()[::-1]
+  return sorted_indices
+
+
+# Select the top 10 movies
+def top_10_movies():
+  top_10_movies = data_load().iloc[sorted_indices()[:10]]
+  return top_10_movies
+
+# Print Top 10 Movie
+print(top_10_movies())

TestPython/answer_chapter3_experiments4.py

@@ -0,0 +1,39 @@
+import pandas as pd
+
+# Create a dictionary with customer data (replace with your actual data)
+
+url = "https://raw.githubusercontent.com/noora20FH/skripsi_noora2023/main/purchases.csv"
+
+# Create a pandas DataFrame from the dictionary
+
+def data_load():
+  df = pd.read_csv(url)
+  return df
+
+#show first five rows
+def head_rows():
+  return data_load().sample(5)
+# Descriptive Statistics
+
+
+# Print additional statistics for each variable (age and total spent)
+print("Customer Age:")
+print(f"  Mean: {data_load()['Age'].mean()}")
+print(f"  Median: {data_load()['Age'].median()}")
+print(f"  Standard Deviation: {data_load()['Age'].std()}")
+print(f"  Skewness: {data_load()['Age'].skew()}")
+print(f"  Quartiles: {data_load()['Age'].quantile([0.25, 0.5, 0.75])}")
+
+print("\nTotal Spent:")
+print(f"  Mean: {data_load()['Total Spent (USD)'].mean()}")
+print(f"  Median: {data_load()['Total Spent (USD)'].median()}")
+print(f"  Standard Deviation: {data_load()['Total Spent (USD)'].std()}")
+print(f"  Skewness: {data_load()['Total Spent (USD)'].skew()}")
+print(f"  Quartiles: {data_load()['Total Spent (USD)'].quantile([0.25, 0.5, 0.75])}")
+
+
+# Calculate the correlation coefficient between customer age and total spent
+def correlation():
+  correlation = data_load()["Age"].corr(data_load()["Total Spent (USD)"])
+  return correlation
+print(f"Correlation Coefficient: {correlation()}")

TestPython/answer_chapter3_experiments5.py

@@ -0,0 +1,25 @@
+import pandas as pd
+
+url = "https://raw.githubusercontent.com/noora20FH/skripsi_noora2023/main/penjualan_elektronik.csv"
+# Memuat data
+def load_data():
+ 
+  data = pd.read_csv(url)
+  return data
+
+# Menghitung Measures of Central Tendency
+def mean_penjualan():
+  mean_penjualan = load_data()['Jumlah Terjual'].mean()
+  return mean_penjualan
+
+def median_penjualan():
+  median_penjualan = load_data()['Jumlah Terjual'].median()
+  return median_penjualan
+
+def mode_penjualan():
+  mode_penjualan = load_data()['Jumlah Terjual'].mode().iloc[0]  # Assuming mode returns a Series
+  return mode_penjualan
+
+print(f"Rata-rata penjualan: {mean_penjualan()}")
+print(f"Median penjualan: {median_penjualan()}")
+print(f"Mode penjualan: {mode_penjualan()}")

TestPython/answer_chapter4_experiments1.py

@@ -0,0 +1,22 @@
+import pandas as pd
+import matplotlib.pyplot as plt
+
+def load_data():
+    url = "https://raw.githubusercontent.com/noora20FH/skripsi_noora2023/main/age_group.csv"
+    df = pd.read_csv(url)
+    return df
+
+def create_pie_chart():
+    df = load_data()
+    get_population_col = df['Population']
+    get_age_col = df['Age Group']
+
+    fig_size = plt.figure(figsize=(10, 8))
+    plt.pie(get_population_col, labels=get_age_col, autopct='%1.1f%%', startangle=90)
+    plt.legend(title="Age Group")
+    plt.title('Age Distribution in the City')
+    plt.axis('equal')
+    plt.show()
+
+# Call the function to create the pie chart
+create_pie_chart()

TestPython/test_bab1_percobaan1.py

@@ -0,0 +1,36 @@
+import random
+import sys
+from pathlib import Path
+import numpy as np
+import subprocess
+import importlib
+import codewars_test
+import pandas as pd
+
+# Update paths and filename
+path_answer = "/content/"  # changed
+filename = "answer_bab1_percobaan1.py"  # changed
+
+
+# Import the answer module
+pc = importlib.import_module(filename[:-3], ".")
+cmd = subprocess.run([sys.executable, f"{path_answer}{filename}"], capture_output=True)  # changed
+
+@codewars_test.describe("Chapter 1 | Experiments 1")
+def fixed_tests():
+    print("========================================================================")
+    @codewars_test.it("1. Load Data Test")
+    def test_load_data():
+        # Assuming expected columns are "Customer ID", "Age" and "Total Spent (USD)"
+        expected_columns = ['Customer ID', 'Age', 'Total Spent (USD)']
+        codewars_test.assert_equals(list(pc.data_load().columns), expected_columns, "====> The URL of the dataset used is not appropriate; the columns in the dataset are different")
+              
+        expected_rows = 50
+        codewars_test.assert_equals(len(pc.data_load()), expected_rows, "====> Please check the URL used again; the number of data points in the dataset is different")
+        
+
+    # @codewars_test.it("2. Test Print Nilai Fungsi data_load()")
+    # def test_total_revenue():
+    #     print("========================================================================")
+    #     output_lines = cmd.stdout.decode().splitlines()
+    #     codewars_test.assert_equals(bool(output_lines), True, '====> Error :Tidak Menampilkan nilai fungsi data_load() menggunakan print()')

TestPython/test_bab1_percobaan2.py

@@ -0,0 +1,61 @@
+import random
+import sys
+from pathlib import Path
+import numpy as np
+import subprocess
+import importlib
+import codewars_test
+import pandas as pd
+
+# Update paths and filename
+path_answer = "/content/"  # changed
+filename = "answer_bab1_percobaan2.py"  # changed
+
+
+# Import the answer module
+pc = importlib.import_module(filename[:-3], ".")
+cmd = subprocess.run([sys.executable, f"{path_answer}{filename}"], capture_output=True)  # changed
+
+@codewars_test.describe("Chapter 1 | Experiments 2")
+def fixed_tests():
+
+    @codewars_test.it("1. Load Data Test ")
+    def test_load_data():
+        print("========================================================================")
+        try:
+            expected_columns = ['Order ID', 'Customer ID', 'Product ID', 'Product Name', 'Price',
+                                'Order Date', 'Quantity']
+            data = pc.data_load()
+            codewars_test.assert_equals(list(data.columns), expected_columns, "====> The URL of the dataset used is not appropriate; the columns in the dataset are different")
+            expected_rows = 100
+            codewars_test.assert_equals(len(data), expected_rows, "====> Please check the URL used again; the number of data points in the dataset is different")
+        except AttributeError as e:
+            if "module 'pandas' has no attribute 'read_csv'" in str(e):
+                codewars_test.fail("====> Error: The data_load function does not use the correct read_csv function. Make sure you use the read_csv function to load the data.")
+            else:
+                codewars_test.fail(f"====> Error: The data_load function was not found. Make sure you have the data_load function in your module. {str(e)}")
+        except pd.errors.EmptyDataError as e:
+            codewars_test.fail("====> Error: The data is empty. Make sure you have valid data.")
+        except pd.errors.ParserError as e:
+            codewars_test.fail("====> Error: Data parsing error. Make sure you have the correct data format.")
+        except Exception as e:
+            codewars_test.fail(f"====> Error: An unexpected error occurred in data_load(). {str(e)}")
+
+    @codewars_test.it("2. sample_rows() Function Test")
+    def test_sample_rows():
+        print("========================================================================")
+        try:
+            sample = pc.sample_rows()
+            expected_len = 1
+            codewars_test.assert_equals(len(sample), expected_len, "====> Error: Not using the .sample() function; resulting in more than 1 data; the data you have in the sample.")
+            assert isinstance(sample, pd.DataFrame), "Sample must have a DataFrame data type."
+        except AttributeError as e:
+            codewars_test.fail(f"====> Error: The sample_rows function was not found. Make sure you have the sample_rows function in your module. {str(e)}")
+        except Exception as e:
+            codewars_test.fail(f"====> Error: An unexpected error occurred in sample_rows(). {str(e)}")
+
+    # @codewars_test.it("3. Test Print Nilai Fungsi sample_rows()")
+    # def test_total_revenue():
+    #     print("========================================================================")
+    #     output_lines = cmd.stdout.decode().splitlines()
+    #     codewars_test.assert_equals(bool(output_lines), True, '====> Error :Tidak Menampilkan nilai fungsi sample_rows() menggunakan print()')

TestPython/test_bab2_percobaan2.py

@@ -0,0 +1,84 @@
+import random
+import sys
+from pathlib import Path
+import numpy as np
+import subprocess
+import importlib
+import codewars_test
+import pandas as pd
+
+# Update paths and filename
+path_answer = "/content/"  # changed
+filename = "answer_bab2_percobaan2.py"  # changed
+
+# Import the answer module
+pc = importlib.import_module(filename[:-3], ".")
+cmd = subprocess.run([sys.executable, f"{path_answer}{filename}"], capture_output=True)  # changed
+
+@codewars_test.describe("Bab 2 | Percobaan 2")
+def fixed_tests():
+
+  @codewars_test.it("1. Test Memuat Data")
+  def test_load_data():
+      print("========================================================================")
+      
+          # Assuming expected columns are "Customer ID", "Age" and "Total Spent (USD)"
+      expected_columns = ['BOROUGH', 'NEIGHBORHOOD', 'BUILDING CLASS CATEGORY',
+                            'TAX CLASS AT PRESENT', 'BLOCK', 'LOT', 'EASE-MENT',
+                            'BUILDING CLASS AT PRESENT', 'ADDRESS', 'APARTMENT NUMBER', 'ZIP CODE',
+                            'RESIDENTIAL UNITS', 'COMMERCIAL UNITS', 'TOTAL UNITS',
+                            'LAND SQUARE FEET', 'GROSS SQUARE FEET', 'YEAR BUILT',
+                            'TAX CLASS AT TIME OF SALE', 'BUILDING CLASS AT TIME OF SALE',
+                            'SALE PRICE', 'SALE DATE']
+      try:
+            codewars_test.assert_equals(list(pc.load_data().columns), expected_columns, "====> URL dataset yang digunakan tidak sesuai; kolom pada dataset berbeda")
+      except Exception as e:
+            codewars_test.fail(f"====> Error loading data; Terdapat Typo pada kode: {str(e)}")
+  
+      expected_rows = 84548
+      try:        
+              codewars_test.assert_equals(len(pc.load_data()), expected_rows, "Dataframe should have expected rows")
+      except Exception as e:
+          codewars_test.fail(f"====> Error checking row count; Terdapat Typo pada Kode: {str(e)}")
+      print("")
+
+  # Test data cleaning or processing (replace with your specific logic)
+  @codewars_test.it('2. Test Drop Columns')
+  def test_data_cleaning():
+      print("========================================================================")
+      try:
+        
+              expected_columns= 16
+              codewars_test.assert_equals(len(pc.clean_columns().columns), expected_columns, "Dataframe should have expected rows")
+      except Exception as e:
+          codewars_test.fail(f"====> Error: {str(e)}")
+      print(" ")
+
+  @codewars_test.it('3. Test Clean Columns Name')
+  def test_clean_columns_name():
+      print("========================================================================")
+
+      expected_columns = ['BOROUGH', 'NEIGHBORHOOD', 'BUILDING_CLASS_CATEGORY',
+                                'BUILDING_CLASS_AT_PRESENT', 'ADDRESS', 'APARTMENT_NUMBER', 'ZIP_CODE',
+                                'RESIDENTIAL_UNITS', 'COMMERCIAL_UNITS', 'TOTAL_UNITS',
+                                'LAND_SQUARE_FEET', 'GROSS_SQUARE_FEET', 'YEAR_BUILT',
+                                'BUILDING_CLASS_AT_TIME_OF_SALE', 'SALE_PRICE', 'SALE_DATE']
+      try:
+
+              codewars_test.assert_equals(list(pc.clean_columns_name().columns), expected_columns, "====> Nama kolom tidak sesuai yang diharapkan; Cek kembali clean_names")
+      except Exception as e:
+          codewars_test.fail(f"====> Error: {str(e)}")
+      except AttributeError as e:
+          codewars_test.fail(f"====> Error: {str(e)}")    
+
+
+      print(" ")
+
+  # @codewars_test.it("2. Test Print Clean Columns")
+  # def test_total_revenue():
+  #       print("========================================================================")
+  #       output_lines = cmd.stdout.decode().splitlines()
+  #       codewars_test.assert_equals(bool(output_lines), True, '====> Error :Tidak Menampilkan nama-nama kolom menggunakan print()')
+
+      
+       

TestPython/test_bab2_percobaan3.py

@@ -0,0 +1,65 @@
+import random
+import sys
+from pathlib import Path
+import numpy as np
+import subprocess
+import importlib
+import codewars_test
+import pandas as pd
+
+# Update paths and filename
+path_answer = "/content/"  # changed
+filename = "answer_bab2_percobaan3.py"  # changed
+
+# Import the answer module
+pc = importlib.import_module(filename[:-3], ".")
+cmd = subprocess.run([sys.executable, f"{path_answer}{filename}"], capture_output=True)  # changed
+
+
+@codewars_test.describe("Chapter 2 | Experiments 3")
+def fixed_tests():
+
+    @codewars_test.it("1. Loading Data Test")
+    def test_load_data():
+        print("========================================================================")
+        # Assuming expected columns are "Customer ID", "Age" and "Total Spent (USD)"
+        expected_columns = ['Duration', 'Pulse', 'Maxpulse', 'Calories']
+        try:
+            codewars_test.assert_equals(list(pc.load_data().columns), expected_columns, "====> The URL of the dataset used is not appropriate; the columns in the dataset are different.")
+        except Exception as e:
+            codewars_test.fail(f"====> Error loading data; There is typo in the code: {str(e)}")
+
+        expected_rows = 169
+        try:
+            codewars_test.assert_equals(len(pc.load_data()), expected_rows, "====> Please check the URL used again; the number of data points in the dataset is different.")
+        except Exception as e:
+            codewars_test.fail(f"====> Error checking row count; There is typo in the code: {str(e)}")
+    
+        print("")
+
+
+    # @codewars_test.it("2. Test Print Total Nilai yang Hilang")
+    # def test_total_revenue():
+    #       print("========================================================================")
+    #       output_lines = cmd.stdout.decode().splitlines()
+    #       codewars_test.assert_equals(bool(output_lines), True, '====> Error :Tidak Menampilkan total nilai hilang print()')
+
+
+    @codewars_test.it("2. Filling The Missing Value Test")
+    def test_no_missing_values():
+        print("========================================================================")
+     
+        # Replace 'Duration', 'Pulse', 'Maxpulse', 'Calories' with your desired columns
+        expected_columns_no_null = ['Duration', 'Pulse', 'Maxpulse', 'Calories']
+        try:
+          for col in expected_columns_no_null:
+              codewars_test.assert_equals(pc.updated_data()[col].isnull().sum(), 0, f"Column '{col}' should not have missing values")
+        except Exception as e:
+              codewars_test.fail(f"====> Error in update_data(); Typo in the function code: {str(e)}")
+        except NameError as e:
+              codewars_test.fail(f"====> Error in update_data(); Typo in the function code: {str(e)}")
+        except SyntaxError as e:
+              codewars_test.fail(f"====> Error in update_data(); Typo in the function code: {str(e)}")
+    
+        print("")
+

TestPython/test_bab3_percobaan1.py

@@ -0,0 +1,86 @@
+import random
+import sys
+from pathlib import Path
+import numpy as np
+import subprocess
+import importlib
+import codewars_test
+
+path_answer = "/content/" #changed
+filename = "answer_bab3_percobaan1.py" #changed
+pc = importlib.import_module(filename[:-3], ".") #changed
+
+cmd = subprocess.run([sys.executable, f"{path_answer}{filename}"], capture_output=True)#changed
+
+# Test Suite: BAB 2
+@codewars_test.describe('BAB 3 | Percobaan 1')
+def percobaan1():
+
+    # Test Array Dimension
+    @codewars_test.it('1. Test Dimensi Array-')
+    def test_array_dimension():
+        print("========================================================================")
+        try:
+            # Check if array is a NumPy array
+            if not isinstance(pc.data_penjualan, np.ndarray):
+                raise AssertionError("Variabel array haruslah berupa NumPy array")
+
+            # Check array dimension (should be 3) and sizes (3, 3, 3)
+            expected_shape = (3, 3, 3)
+            codewars_test.assert_equals( pc.data_penjualan.shape, expected_shape,'Error : Ukuran array tidak sesuai dengan ketentuan 3x3x3')
+        except Exception as e:
+            codewars_test.fail(f"====> Error pada updated_data(); Terdapat Kolom dengan penulisan nama yang salah, yaitu; function: {str(e)}")
+        except KeyError as e:
+            codewars_test.fail(f"====> Error: Kolom '{e.args[0]}' tidak ditemukan dalam DataFrame. Pastikan Anda memiliki kolom '{e.args[0]}' dalam data Anda.")    
+        except NameError as e:
+            codewars_test.fail(f"====> Error: Kolom '{e.args[0]}' tidak ditemukan dalam DataFrame. Pastikan Anda memiliki kolom '{e.args[0]}' dalam data Anda.")    
+            
+    # Test Array Slicing
+    @codewars_test.it('2. Test Pemotongan Array-')
+    def test_array_slicing():
+        print("========================================================================")
+        expected_array_slicing = np.array([50, 60])
+        try:
+            actual_array_slicing = pc.data_spesifik
+            # Check element-wise equality using np.array_equal
+            codewars_test.assert_equals(True, np.array_equal(expected_array_slicing, actual_array_slicing), 'Error : Hasil pemotongan array tidak sesuai; ')
+        except Exception as e:
+            codewars_test.fail(f"====> Error Terdapat Variabel dengan penulisan nama yang salah, yaitu; function: {str(e)}")
+        except KeyError as e:
+            codewars_test.fail(f"====> Error: Kolom '{e.args[0]}' tidak ditemukan dalam DataFrame. Pastikan Anda memiliki kolom '{e.args[0]}' dalam data Anda.")    
+    
+        print("""NOTE:
+        Potong pada array kotak index-0, 
+        ambil baris index-1, 
+        kolom index-1 hingga index-2""")
+
+    # Test Output Type of Sliced Array
+    @codewars_test.it('3. Test Tipe Hasil Pemotongan Array-')
+    def test_output_type():
+        print("========================================================================")
+        expected_type = np.ndarray  # Expected type
+
+        try:
+            # Assuming pc.array_potongan is the sliced array from answer.py
+            codewars_test.assert_equals(expected_type, type(pc.data_spesifik), 'Error : Tipe hasil pemotongan array harus berupa NumPy ndarray')
+        except Exception as e:
+            codewars_test.fail(f"====> Error pada penamaan variabel; function: {str(e)}")
+        except KeyError as e:
+            codewars_test.fail(f"====> Error: Kolom '{e.args[0]}' tidak ditemukan dalam DataFrame. Pastikan Anda memiliki kolom '{e.args[0]}' dalam data Anda.")    
+    
+
+    # @codewars_test.it('4. Test Print Hasil Pemotongan Array-')
+    # def test_output_type():
+    #     print("========================================================================")
+    #     expected = "[50 60]"
+    #     output_lines = cmd.stdout.decode().splitlines()
+    #     if output_lines:
+    #         actual_value = output_lines[0]
+    #     else:
+    #         actual_value = " "
+
+    #     codewars_test.assert_equals(actual_value, expected, 'Error :Tidak Menampilkan nilai data_spesifik menggunakan print()')    
+
+
+if __name__ == '__main__':
+    codewars_test  # Run the tests

TestPython/test_bab3_percobaan2.py

@@ -0,0 +1,98 @@
+import random
+import sys
+from pathlib import Path
+import numpy as np
+import subprocess
+import importlib
+import codewars_test
+import pandas as pd
+
+# Update paths and filename
+path_answer = "/content/"  # changed
+filename = "answer_bab3_percobaan2.py"  # changed
+
+# Import the answer module
+pc = importlib.import_module(filename[:-3], ".")
+cmd = subprocess.run([sys.executable, f"{path_answer}{filename}"], capture_output=True)  # changed
+
+@codewars_test.describe("BAB 3 | Percobaan 2")
+def fixed_tests():
+
+    @codewars_test.it("1. Test Memuat Data")
+    def test_load_data():
+        print("========================================================================")
+        # Assuming expected columns are "Customer ID", "Age" and "Total Spent (USD)"
+        expected_columns = ["Invoice ID","Branch", "City", "Customer type", "Gender", "Product line", "Unit price", "Quantity", "Tax 5%", "Total", "Date", "Time", "Payment", "cogs", "gross margin percentage", "gross income", "Rating"]
+        try:
+            codewars_test.assert_equals(list(pc.data_load().columns), expected_columns, "====> URL dataset yang digunakan tidak sesuai; kolom pada dataset berbeda")
+        except Exception as e:
+            codewars_test.fail(f"====> Error loading data; Terdapat Typo pada kode: {str(e)}")
+
+        expected_rows = 1000
+        try:
+            codewars_test.assert_equals(len(pc.data_load()), expected_rows, "====> Periksa kembali URL yang digunakan; jumlah data pada dataset berbeda")
+        except Exception as e:
+            codewars_test.fail(f"====> Error checking row count; Terdapat Typo pada Kode: {str(e)}")
+    
+    @codewars_test.it("2. Test Fungsi head_rows()")
+    def test_show_first_five_rows():
+        print("========================================================================")
+        # Call the function and capture the output
+        try:
+            actual_output = pc.head_rows().shape[0] # Get the number of rows
+
+            expected_rows = 5
+
+            # Assert that the expected output matches the actual output
+            codewars_test.assert_equals(actual_output, expected_rows, "Should Showing First Five Rows" )
+        except Exception as e:
+            codewars_test.fail(f"====> Error pada head_rows(); Terdapat Typo pada kode function: {str(e)}")
+    
+        except KeyError as e:
+                    codewars_test.fail(f"====> Error: Kolom '{e.args[0]}' tidak ditemukan dalam DataFrame. Pastikan Anda memiliki kolom '{e.args[0]}' dalam data Anda.")
+
+
+    @codewars_test.it("3. Test Membuat Kolom Revenue ")
+    def test_add_revenue_column():
+        print("========================================================================")
+        
+        try:
+            df = pc.updated_data()
+
+            codewars_test.assert_equals("Total Revenue" in df.columns, True,
+                                       "====> Error: Kolom 'Total Revenue' tidak ditemukan; Definisikan nama kolom dengan benar")
+        except Exception as e:
+            codewars_test.fail(f"====> Error pada updated_data(); Terdapat Kolom dengan penulisan nama yang salah, yaitu; function: {str(e)}")
+        except KeyError as e:
+            codewars_test.fail(f"====> Error: Kolom '{e.args[0]}' tidak ditemukan dalam DataFrame. Pastikan Anda memiliki kolom '{e.args[0]}' dalam data Anda.")    
+    
+    @codewars_test.it("4. Test Nilai Variabel total_pendapatan")
+    def test_total_revenue():
+        print("========================================================================")
+        # Assert few basic statistics on total spent
+        expected_total_revenue = 307587.38
+
+        try:
+            df = pc.updated_data()
+
+            if 'Unit price' in df.columns and 'Quantity' in df.columns:
+                actual = pc.total_pendapatan()
+                codewars_test.assert_equals(actual, expected_total_revenue, "====> Error: Total Revenue should be have the correct value")
+            else:
+                codewars_test.fail("====> Error: Kolom 'Unit price' atau 'Quantity' tidak ditemukan dalam DataFrame. Pastikan Anda memiliki kolom 'Unit price' dan 'Quantity' dalam data Anda.")
+        except Exception as e:
+            codewars_test.fail(f"====> Error: fungsi total_pendapatan. Cek nama dan atribut fungsi. {str(e)}")
+
+    # @codewars_test.it("5. Test Print Fungsi Jumlah Pendapatan")
+    # def test_total_revenue():
+    #     print("========================================================================")
+    #     expected= "307587.38"
+    #     output_lines = cmd.stdout.decode().splitlines()
+    #     if output_lines:
+    #         actual_value = output_lines[0]
+    #     else:
+    #         actual_value = " "
+
+    #     codewars_test.assert_equals(actual_value, expected, '====> Error :Tidak Menampilkan nilai fungsi jumalah_pendapatan() menggunakan print()')    
+
+

TestPython/test_bab3_percobaan3.py

@@ -0,0 +1,70 @@
+
+import random
+import sys
+from pathlib import Path
+import numpy as np
+import subprocess
+import importlib
+import codewars_test
+import pandas as pd
+
+# Update paths and filename
+path_answer = "/content/"  # changed
+filename = "answer_bab3_percobaan3.py"  # changed
+
+
+# Import the answer module
+pc = importlib.import_module(filename[:-3], ".")
+cmd = subprocess.run([sys.executable, f"{path_answer}{filename}"], capture_output=True)  # changed
+
+@codewars_test.describe("BAB 3 | Percobaan 3")
+def fixed_tests():
+
+    @codewars_test.it("1. Test Memuat Data")
+    def test_load_data():
+        print("========================================================================")
+        # Assuming expected columns are "Customer ID", "Age" and "Total Spent (USD)"
+        expected_columns = ['Movie_Title', 'Release_Year', 'Genre', 'Director', 'Critic_Score',
+       'User_Rating', 'Studio', 'Running_Time', 'Budget', 'Box_Office',
+       'Unnamed: 10']
+        try:
+          codewars_test.assert_equals(list(pc.data_load().columns), expected_columns, "====> URL dataset yang digunakan tidak sesuai; kolom pada dataset berbeda")
+        except  Exception as e:
+          codewars_test.fail(f"====> Error loading data; Terdapat Typo pada kode: {str(e)}")
+  
+        expected_rows = 18
+        try:
+          codewars_test.assert_equals(len(pc.data_load()), expected_rows, "====> URL dataset yang digunakan tidak sesuai; kolom pada dataset berbeda")
+        except Exception as e:
+            codewars_test.fail(f"====> Error checking row count; Terdapat Typo pada Kode: {str(e)}")
+        print("")
+
+    @codewars_test.it("2. Test Critic_Score Conversion")
+    def test_critic_scores():
+        print("========================================================================")
+
+        try:
+
+          codewars_test.assert_equals(isinstance(pc.critic_scores(), np.ndarray), True,">>>> ERROR pada fungsi critic_scores(); Cek nama variabel")
+   
+        except  Exception as e:
+          codewars_test.fail(f"====> Error Terdapat Typo pada fungsi critic_scores() pada kode: {str(e)}")
+        except  KeyError as e:
+          codewars_test.fail(f"====> Error loading data; Terdapat Typo pada kode: {str(e)}")
+    
+    @codewars_test.it("2. Test Create Variable top_10_movies")
+    def test_top_10_movies():
+        print("========================================================================")
+
+        try:
+
+            codewars_test.assert_equals(isinstance(pc.top_10_movies(), pd.DataFrame), True, "top_10_movies should be a pandas DataFrame")
+        except Exception as e:
+            codewars_test.fail(f"====> Error Terdapat Typo pada blok fungsi sorted_indices() kode: {str(e)}")
+    print("")
+
+    # @codewars_test.it("3. Test Print Top 10 Movies")
+    # def test_critic_scores():
+    #     print("========================================================================")
+    #     output_lines = cmd.stdout.decode().splitlines()
+    #     codewars_test.assert_equals(bool(output_lines), True, '====> Error :Tidak Menampilkan 10 Movies menggunakan print()')

TestPython/test_bab3_percobaan4.py

@@ -0,0 +1,145 @@
+import random
+import sys
+from pathlib import Path
+import numpy as np
+import subprocess
+import importlib
+import codewars_test
+import pandas as pd
+
+# Update paths and filename
+path_answer = "/content/"  # changed
+filename = "answer_bab3_percobaan4.py"  # changed
+
+# Import the answer module
+pc = importlib.import_module(filename[:-3], ".")
+cmd = subprocess.run([sys.executable, f"{path_answer}{filename}"], capture_output=True)  # changed
+
+
+@codewars_test.describe("BAB 3 | Percobaan 4")
+def fixed_tests():
+
+    @codewars_test.it("1. Test Memuat Data")
+    def test_load_data():
+        print("========================================================================")
+        # Assuming expected columns are "Customer ID", "Age" and "Total Spent (USD)"
+        expected_columns = ["Customer ID","Age", "Total Spent (USD)"]
+        try:
+          codewars_test.assert_equals(list(pc.data_load().columns), expected_columns, "====> URL dataset yang digunakan tidak sesuai; kolom pada dataset berbeda")
+        except  Exception as e:
+          codewars_test.fail(f"====> Error loading data; Terdapat Typo pada kode: {str(e)}")
+  
+        expected_rows = 50
+        try:
+          codewars_test.assert_equals(len(pc.data_load()), expected_rows, "====> URL dataset yang digunakan tidak sesuai; kolom pada dataset berbeda")
+        except Exception as e:
+            codewars_test.fail(f"====> Error checking row count; Terdapat Typo pada Kode: {str(e)}")
+        print("")
+
+    @codewars_test.it("2. TestShow First Five Rows")
+    def test_show_first_five_rows():
+        # Call the function and capture the output
+        print("========================================================================")
+        try:
+          actual_output = pc.head_rows().shape[0] # Get the number of rows
+          expected_rows = 5
+
+          # Assert that the expected output matches the actual output
+          codewars_test.assert_equals(actual_output, expected_rows, "pada head_rows(); Output Tidak Sesuai; Seharusnya menampilkan 5 baris data; Output anda" )
+        except Exception as e:
+          codewars_test.fail(f"====> Error pada head_rows(); Terdapat Typo pada kode function: {str(e)}")
+        
+        print("")
+
+    @codewars_test.it("3. Test calculates descriptive statistics for Customer Age")
+    def test_age_descriptive_stats():
+        print("========================================================================")
+        # Assert few basic statistics on age
+        expected_mean =34.54
+        expected_std =13.069999921927455
+        expected_median = 33.5
+        expected_skew = 0.2325824223215271
+        try:
+
+          codewars_test.assert_equals(pc.data_load()["Age"].mean(), expected_mean, "Age mean should be positive")
+          codewars_test.assert_equals(pc.data_load()["Age"].std(), expected_std, "Age standard deviation should be positive")
+          codewars_test.assert_equals(pc.data_load()["Age"].median(), expected_median, "Age mean should be positive")
+          codewars_test.assert_equals(pc.data_load()["Age"].skew(), expected_skew, "Age standard deviation should be positive")
+
+          quartile = pc.data_load()["Age"].quantile([0.25, 0.5, 0.75])
+        
+          codewars_test.assert_equals(type(quartile), pd.Series, "Quartiles should be a pandas Series")
+        except Exception as e:
+            codewars_test.fail(f"====> Error pada head_rows(); Terdapat Typo pada kode function: {str(e)}")
+        print("")
+
+    
+    @codewars_test.it("4. Test quartiles's value | Age")
+    def test_quartile_values():
+        print("========================================================================")
+        # Assuming quartiles are for "Age" (adjust expected values as needed)
+        try:
+          expected_quartiles = np.array([22.25, 33.50, 45.00])  # Adjust these based on your data
+          tolerance = 5  # Adjust tolerance for approximate value comparison
+          calculated_quartiles = pc.data_load()["Age"].quantile([0.25, 0.5, 0.75])
+          
+          codewars_test.assert_equals(np.allclose(calculated_quartiles, expected_quartiles, atol=tolerance), True, "Quartiles should be close to expected values")
+        except Exception as e:
+            codewars_test.fail(f"====> Error pada head_rows(); Terdapat Typo pada kode function: {str(e)}")
+        
+        print("")
+
+    @codewars_test.it("5. Test calculates descriptive statistics for Total Spent")
+    def test_total_spent_descriptive_stats():
+        print("========================================================================")
+        # Assert few basic statistics on total spent
+        expected_mean =114.0
+        expected_std =52.45989721993868
+        expected_median = 110.0
+        expected_skew = 0.19622312582543433
+        try:
+
+          codewars_test.assert_equals(pc.data_load()["Total Spent (USD)"].mean(), expected_mean, "Total Spent mean should be positive")
+          codewars_test.assert_equals(pc.data_load()["Total Spent (USD)"].std(), expected_std, "Total Spent standard deviation should be positive")
+          codewars_test.assert_equals(pc.data_load()["Total Spent (USD)"].median(), expected_median, "Age mean should be positive")
+          codewars_test.assert_equals(pc.data_load()["Total Spent (USD)"].skew(), expected_skew, "Age standard deviation should be positive")
+
+          quartile = pc.data_load()["Total Spent (USD)"].quantile([0.25, 0.5, 0.75])
+       
+          codewars_test.assert_equals(type(quartile), pd.Series, "Quartiles should be a pandas Series")
+        except Exception as e:
+            codewars_test.fail(f"====> Error pada head_rows(); Terdapat Typo pada kode function: {str(e)}")
+        print("")
+
+    @codewars_test.it("6. Test quartiles's value | Total Spent (USD)")
+    def test_quartile_values():
+        print("========================================================================")
+        # Assuming quartiles are for "Age" (adjust expected values as needed)
+        
+        expected_quartiles = np.array([71.25, 110.00, 153.75])  # Adjust these based on your data
+        tolerance = 5 
+         # Adjust tolerance for approximate value comparison
+        try:
+          calculated_quartiles = pc.data_load()["Total Spent (USD)"].quantile([0.25, 0.5, 0.75])
+        
+          codewars_test.assert_equals(np.allclose(calculated_quartiles, expected_quartiles, atol=tolerance), True, "Quartiles should be close to expected values")
+        except Exception as e:
+            codewars_test.fail(f"====> Error pada head_rows(); Terdapat Typo pada kode function: {str(e)}")
+        print("")
+    
+    @codewars_test.it("7. calculates correlation coefficient")
+    def test_correlation():
+        print("========================================================================")
+        # Assert correlation coefficient is a number 
+        try:
+          corr_= pc.correlation()
+     
+          codewars_test.assert_equals(isinstance(corr_, float), True, ">>>> Error pada fungsi correlation(); Variabel 'correlation' Tidak Terdefinisi; Cek nama variabel")
+        except Exception as e:
+          codewars_test.fail(f"====> Error pada correlation(); Terdapat Typo pada kode function: {str(e)}")
+        except NameError as e:
+          codewars_test.fail(f"====> Error pada correlation(); Terdapat Typo pada kode function: {str(e)}")
+        print("")
+
+
+

TestPython/test_bab3_percobaan5.py

@@ -0,0 +1,80 @@
+import random
+import sys
+from pathlib import Path
+import numpy as np
+import subprocess
+import importlib
+import codewars_test
+import pandas as pd
+
+# Update paths and filename
+path_answer = "/content/"  # changed
+filename = "answer_bab3_percobaan5.py"  # changed
+
+# Import the answer module
+pc = importlib.import_module(filename[:-3], ".")
+cmd = subprocess.run([sys.executable, f"{path_answer}{filename}"], capture_output=True)  # changed
+
+@codewars_test.describe("BAB 3 | Percobaan 5")
+def fixed_tests():
+
+    @codewars_test.it("1. Test Memuat Data")
+    def test_load_data():
+        print("========================================================================")
+        # Assuming expected columns are "Customer ID", "Age" and "Total Spent (USD)"
+        expected_columns = ['No', 'Nama Produk', 'Kategori', 'Harga (Rp)', 'Jumlah Terjual']
+        try:
+          codewars_test.assert_equals(list(pc.load_data().columns), expected_columns, "====> URL dataset yang digunakan tidak sesuai; kolom pada dataset berbeda")
+        except  Exception as e:
+          codewars_test.fail(f"====> Error loading data; Terdapat Typo pada kode: {str(e)}")
+  
+        expected_rows = 33
+        try:
+          codewars_test.assert_equals(len(pc.load_data()), expected_rows, "====> URL dataset yang digunakan tidak sesuai; kolom pada dataset berbeda")
+        except Exception as e:
+            codewars_test.fail(f"====> Error checking row count; Terdapat Typo pada Kode: {str(e)}")
+        print("")
+
+    @codewars_test.it("2. Test Calculates Mean")
+     # Assuming your function calculates mean, median, and standard deviation
+    def test_descriptive_statistics():
+        print("========================================================================")
+
+        # Test mean of "Jumlah Terjual" 
+        expected_mean = 16.09375  # Replace with expected mean value
+        
+        try:
+          codewars_test.assert_equals(pc.load_data()["Jumlah Terjual"].mean(), expected_mean, "Total Spent mean should be positive")
+        except Exception as e:
+            codewars_test.fail(f"====> Error checking row count; Terdapat Typo pada Kode: {str(e)}")
+   
+        print(" ")
+
+    @codewars_test.it("3. Test Calculates Median")
+    def test_descriptive_statistics():
+        print("========================================================================")
+        # Test median of "Jumlah Terjual" 
+        expected_median = 15.0  # Replace with expected median value
+        data = pc.load_data()["Jumlah Terjual"].median()
+        try:
+          codewars_test.assert_equals(pc.load_data()["Jumlah Terjual"].median(), expected_median, "Age mean should be positive")
+        except Exception as e:
+            codewars_test.fail(f"====> Error checking row count; Terdapat Typo pada Kode: {str(e)}")
+
+        print(" ")
+        # Test mode (assuming mode function returns a Series)
+    @codewars_test.it("4. Test Calculates Mode") 
+    def test_descriptive_statistics():        
+        print("========================================================================")
+        data = pc.load_data()
+        expected_mode = 8
+        mode_jumlah_terjual = data["Jumlah Terjual"].mode().iloc[0]
+        
+        try:
+          
+          codewars_test.assert_equals(mode_jumlah_terjual, expected_mode)
+        except Exception as e:
+            codewars_test.fail(f"====> Error checking row count; Terdapat Typo pada Kode: {str(e)}")
+    
+        print(" ")
+

TestPython/test_bab4_percobaan1.py

@@ -0,0 +1,67 @@
+import random
+import sys
+from pathlib import Path
+import numpy as np
+import subprocess
+import importlib
+import codewars_test
+import pandas as pd
+import matplotlib.pyplot as plt
+
+# Update paths and filename
+path_answer = "/content/"  # changed
+filename = "answer_bab4_percobaan1.py"  # changed
+
+# Import the answer module
+pc = importlib.import_module(filename[:-3], ".")
+cmd = subprocess.run([sys.executable, f"{path_answer}{filename}"], capture_output=True)  # changed
+
+@codewars_test.describe("BAB 4 | Percobaan 1")
+def fixed_tests():
+    data = {
+        'Age Group': ['0-18', '19-30', '31-45', '46-60', '61+'],
+        'Population': [25000, 30000, 20000, 15000, 10000]
+        }
+    df = pd.DataFrame(data) 
+
+
+    @codewars_test.it("1. Test Memuat Data")
+    def test_load_data():
+        print("========================================================================")
+        # Assuming expected columns are "Customer ID", "Age" and "Total Spent (USD)"
+        expected_columns = ['Age Group', 'Population']
+        try:
+              codewars_test.assert_equals(list(pc.load_data().columns), expected_columns, "====> URL dataset yang digunakan tidak sesuai; kolom pada dataset berbeda")
+        except Exception as e:
+              codewars_test.fail(f"====> Error loading data; Terdapat Typo pada kode: {str(e)}")
+  
+        expected_rows = 5
+        try:        
+                codewars_test.assert_equals(len(pc.load_data()), expected_rows, "Dataframe should have expected rows")
+        except Exception as e:
+            codewars_test.fail(f"====> Error checking row count; Terdapat Typo pada Kode: {str(e)}")
+        print("")
+
+    @codewars_test.it("Get Population Column")
+    def test_get_population_column(): 
+        print("========================================================================")
+        expected_total = list(df['Population'])
+        codewars_test.assert_equals(list(pc.load_data()['Population']), expected_total, "Dataframe should have expected total")
+        print("")
+
+    @codewars_test.it("Get Age Group Column")
+    def test_get_age_group_column(): 
+        print("========================================================================")
+        expected_total = list(df['Age Group'])
+        codewars_test.assert_equals(list(pc.load_data()['Age Group']), expected_total, "Dataframe should have expected total")
+        print("")
+
+    @codewars_test.it("Check Pie Chart")
+    def test_pie_chart():  
+        print("========================================================================")
+        # Since we can't directly test the pie chart, we'll test the create_pie_chart function
+        try:
+            pc.create_pie_chart()
+        except Exception as e:
+            codewars_test.fail(f"====> Error creating pie chart; Terdapat Typo pada Kode: {str(e)}")
+        print("")

TestPython/test_chapter1_experiments1.py

@@ -0,0 +1,36 @@
+import random
+import sys
+from pathlib import Path
+import numpy as np
+import subprocess
+import importlib
+import codewars_test
+import pandas as pd
+
+# Update paths and filename
+path_answer = "/content/"  # changed
+filename = "answer_bab1_percobaan1.py"  # changed
+
+
+# Import the answer module
+pc = importlib.import_module(filename[:-3], ".")
+cmd = subprocess.run([sys.executable, f"{path_answer}{filename}"], capture_output=True)  # changed
+
+@codewars_test.describe("Chapter 1 | Experiments 1")
+def fixed_tests():
+    print("========================================================================")
+    @codewars_test.it("1. Load Data Test")
+    def test_load_data():
+        # Assuming expected columns are "Customer ID", "Age" and "Total Spent (USD)"
+        expected_columns = ['Customer ID', 'Age', 'Total Spent (USD)']
+        codewars_test.assert_equals(list(pc.data_load().columns), expected_columns, "====> The URL of the dataset used is not appropriate; the columns in the dataset are different")
+              
+        expected_rows = 50
+        codewars_test.assert_equals(len(pc.data_load()), expected_rows, "====> Please check the URL used again; the number of data points in the dataset is different")
+        
+
+    # @codewars_test.it("2. Test Print Nilai Fungsi data_load()")
+    # def test_total_revenue():
+    #     print("========================================================================")
+    #     output_lines = cmd.stdout.decode().splitlines()
+    #     codewars_test.assert_equals(bool(output_lines), True, '====> Error :Tidak Menampilkan nilai fungsi data_load() menggunakan print()')

TestPython/test_chapter1_experiments2.py

@@ -0,0 +1,61 @@
+import random
+import sys
+from pathlib import Path
+import numpy as np
+import subprocess
+import importlib
+import codewars_test
+import pandas as pd
+
+# Update paths and filename
+path_answer = "/content/"  # changed
+filename = "answer_chapter1_experiments2.py"  # changed
+
+
+# Import the answer module
+pc = importlib.import_module(filename[:-3], ".")
+cmd = subprocess.run([sys.executable, f"{path_answer}{filename}"], capture_output=True)  # changed
+
+@codewars_test.describe("Chapter 1 | Experiments 2")
+def fixed_tests():
+
+    @codewars_test.it("1. Load Data Test ")
+    def test_load_data():
+        print("========================================================================")
+        try:
+            expected_columns = ['Order ID', 'Customer ID', 'Product ID', 'Product Name', 'Price',
+                                'Order Date', 'Quantity']
+            data = pc.data_load()
+            codewars_test.assert_equals(list(data.columns), expected_columns, "====> The URL of the dataset used is not appropriate; the columns in the dataset are different")
+            expected_rows = 100
+            codewars_test.assert_equals(len(data), expected_rows, "====> Please check the URL used again; the number of data points in the dataset is different")
+        except AttributeError as e:
+            if "module 'pandas' has no attribute 'read_csv'" in str(e):
+                codewars_test.fail("====> Error: The data_load function does not use the correct read_csv function. Make sure you use the read_csv function to load the data.")
+            else:
+                codewars_test.fail(f"====> Error: The data_load function was not found. Make sure you have the data_load function in your module. {str(e)}")
+        except pd.errors.EmptyDataError as e:
+            codewars_test.fail("====> Error: The data is empty. Make sure you have valid data.")
+        except pd.errors.ParserError as e:
+            codewars_test.fail("====> Error: Data parsing error. Make sure you have the correct data format.")
+        except Exception as e:
+            codewars_test.fail(f"====> Error: An unexpected error occurred in data_load(). {str(e)}")
+
+    @codewars_test.it("2. sample_rows() Function Test")
+    def test_sample_rows():
+        print("========================================================================")
+        try:
+            sample = pc.sample_rows()
+            expected_len = 1
+            codewars_test.assert_equals(len(sample), expected_len, "====> Error: Not using the .sample() function; resulting in more than 1 data; the data you have in the sample.")
+            assert isinstance(sample, pd.DataFrame), "Sample must have a DataFrame data type."
+        except AttributeError as e:
+            codewars_test.fail(f"====> Error: The sample_rows function was not found. Make sure you have the sample_rows function in your module. {str(e)}")
+        except Exception as e:
+            codewars_test.fail(f"====> Error: An unexpected error occurred in sample_rows(). {str(e)}")
+
+    # @codewars_test.it("3. Test Print Nilai Fungsi sample_rows()")
+    # def test_total_revenue():
+    #     print("========================================================================")
+    #     output_lines = cmd.stdout.decode().splitlines()
+    #     codewars_test.assert_equals(bool(output_lines), True, '====> Error :Tidak Menampilkan nilai fungsi sample_rows() menggunakan print()')

TestPython/test_chapter2_experiments2.py

@@ -0,0 +1,84 @@
+import random
+import sys
+from pathlib import Path
+import numpy as np
+import subprocess
+import importlib
+import codewars_test
+import pandas as pd
+
+# Update paths and filename
+path_answer = "/content/"  # changed
+filename = "answer_chapter2_experiments2.py"  # changed
+
+# Import the answer module
+pc = importlib.import_module(filename[:-3], ".")
+cmd = subprocess.run([sys.executable, f"{path_answer}{filename}"], capture_output=True)  # changed
+
+@codewars_test.describe("Chapter 2 | Experiments 2")
+def fixed_tests():
+
+  @codewars_test.it("1. Test Load Data")
+  def test_load_data():
+      print("========================================================================")
+      
+          # Assuming expected columns are "Customer ID", "Age" and "Total Spent (USD)"
+      expected_columns = ['BOROUGH', 'NEIGHBORHOOD', 'BUILDING CLASS CATEGORY',
+                            'TAX CLASS AT PRESENT', 'BLOCK', 'LOT', 'EASE-MENT',
+                            'BUILDING CLASS AT PRESENT', 'ADDRESS', 'APARTMENT NUMBER', 'ZIP CODE',
+                            'RESIDENTIAL UNITS', 'COMMERCIAL UNITS', 'TOTAL UNITS',
+                            'LAND SQUARE FEET', 'GROSS SQUARE FEET', 'YEAR BUILT',
+                            'TAX CLASS AT TIME OF SALE', 'BUILDING CLASS AT TIME OF SALE',
+                            'SALE PRICE', 'SALE DATE']
+      try:
+            codewars_test.assert_equals(list(pc.load_data().columns), expected_columns, "====> The URL of the dataset used is not appropriate; the columns in the dataset are different")
+      except Exception as e:
+            codewars_test.fail(f"====> Error loading data; There is a typo in the code: {str(e)}")
+  
+      expected_rows = 84548
+      try:        
+              codewars_test.assert_equals(len(pc.load_data()), expected_rows, "Please check the URL used again; the number of data points in the dataset is different")
+      except Exception as e:
+          codewars_test.fail(f"====> Error checking row count; There is a typo in the code: {str(e)}")
+      print("")
+
+  # Test data cleaning or processing (replace with your specific logic)
+  @codewars_test.it('2. Test Drop Columns')
+  def test_data_cleaning():
+      print("========================================================================")
+      try:
+        
+              expected_columns= 16
+              codewars_test.assert_equals(len(pc.clean_columns().columns), expected_columns, "Dataframe should have expected rows")
+      except Exception as e:
+          codewars_test.fail(f"====> Error: {str(e)}")
+      print(" ")
+
+  @codewars_test.it('3. Test Clean Columns Name')
+  def test_clean_columns_name():
+      print("========================================================================")
+
+      expected_columns = ['BOROUGH', 'NEIGHBORHOOD', 'BUILDING_CLASS_CATEGORY',
+                                'BUILDING_CLASS_AT_PRESENT', 'ADDRESS', 'APARTMENT_NUMBER', 'ZIP_CODE',
+                                'RESIDENTIAL_UNITS', 'COMMERCIAL_UNITS', 'TOTAL_UNITS',
+                                'LAND_SQUARE_FEET', 'GROSS_SQUARE_FEET', 'YEAR_BUILT',
+                                'BUILDING_CLASS_AT_TIME_OF_SALE', 'SALE_PRICE', 'SALE_DATE']
+      try:
+
+              codewars_test.assert_equals(list(pc.clean_columns_name().columns), expected_columns, "====> Column names are not as expected; Check the clean_names function again.")
+      except Exception as e:
+          codewars_test.fail(f"====> Error: {str(e)}")
+      except AttributeError as e:
+          codewars_test.fail(f"====> Error: {str(e)}")    
+
+
+      print(" ")
+
+  # @codewars_test.it("2. Test Print Clean Columns")
+  # def test_total_revenue():
+  #       print("========================================================================")
+  #       output_lines = cmd.stdout.decode().splitlines()
+  #       codewars_test.assert_equals(bool(output_lines), True, '====> Error :Tidak Menampilkan nama-nama kolom menggunakan print()')
+
+      
+       

TestPython/test_chapter2_experiments3.py

@@ -0,0 +1,65 @@
+import random
+import sys
+from pathlib import Path
+import numpy as np
+import subprocess
+import importlib
+import codewars_test
+import pandas as pd
+
+# Update paths and filename
+path_answer = "/content/"  # changed
+filename = "answer_chapter2_experiments3.py"  # changed
+
+# Import the answer module
+pc = importlib.import_module(filename[:-3], ".")
+cmd = subprocess.run([sys.executable, f"{path_answer}{filename}"], capture_output=True)  # changed
+
+
+@codewars_test.describe("Chapter 2 | Experiments 3")
+def fixed_tests():
+
+    @codewars_test.it("1. Loading Data Test")
+    def test_load_data():
+        print("========================================================================")
+        # Assuming expected columns are "Customer ID", "Age" and "Total Spent (USD)"
+        expected_columns = ['Duration', 'Pulse', 'Maxpulse', 'Calories']
+        try:
+            codewars_test.assert_equals(list(pc.load_data().columns), expected_columns, "====> The URL of the dataset used is not appropriate; the columns in the dataset are different.")
+        except Exception as e:
+            codewars_test.fail(f"====> Error loading data; There is typo in the code: {str(e)}")
+
+        expected_rows = 169
+        try:
+            codewars_test.assert_equals(len(pc.load_data()), expected_rows, "====> Please check the URL used again; the number of data points in the dataset is different.")
+        except Exception as e:
+            codewars_test.fail(f"====> Error checking row count; There is typo in the code: {str(e)}")
+    
+        print("")
+
+
+    # @codewars_test.it("2. Test Print Total Nilai yang Hilang")
+    # def test_total_revenue():
+    #       print("========================================================================")
+    #       output_lines = cmd.stdout.decode().splitlines()
+    #       codewars_test.assert_equals(bool(output_lines), True, '====> Error :Tidak Menampilkan total nilai hilang print()')
+
+
+    @codewars_test.it("2. Filling The Missing Value Test")
+    def test_no_missing_values():
+        print("========================================================================")
+     
+        # Replace 'Duration', 'Pulse', 'Maxpulse', 'Calories' with your desired columns
+        expected_columns_no_null = ['Duration', 'Pulse', 'Maxpulse', 'Calories']
+        try:
+          for col in expected_columns_no_null:
+              codewars_test.assert_equals(pc.updated_data()[col].isnull().sum(), 0, f"Column '{col}' should not have missing values")
+        except Exception as e:
+              codewars_test.fail(f"====> Error in update_data(); Typo in the function code: {str(e)}")
+        except NameError as e:
+              codewars_test.fail(f"====> Error in update_data(); Typo in the function code: {str(e)}")
+        except SyntaxError as e:
+              codewars_test.fail(f"====> Error in update_data(); Typo in the function code: {str(e)}")
+    
+        print("")
+

TestPython/test_chapter3_experiments1.py

@@ -0,0 +1,86 @@
+import random
+import sys
+from pathlib import Path
+import numpy as np
+import subprocess
+import importlib
+import codewars_test
+
+path_answer = "/content/" #changed
+filename = "answer_chapter3_experiments1.py" #changed
+pc = importlib.import_module(filename[:-3], ".") #changed
+
+cmd = subprocess.run([sys.executable, f"{path_answer}{filename}"], capture_output=True)#changed
+
+# Test Suite: BAB 2
+@codewars_test.describe('Chapter 3 | Experiments 1')
+def percobaan1():
+
+    # Test Array Dimension
+    @codewars_test.it('1. Test Array Dimension-')
+    def test_array_dimension():
+        print("========================================================================")
+        try:
+            # Check if array is a NumPy array
+            if not isinstance(pc.data_penjualan, np.ndarray):
+                raise AssertionError("Test Array Dimension")
+
+            # Check array dimension (should be 3) and sizes (3, 3, 3)
+            expected_shape = (3, 3, 3)
+            codewars_test.assert_equals( pc.data_penjualan.shape, expected_shape,'Error : Array size does not match the requirement of 3x3x3')
+        except Exception as e:
+            codewars_test.fail(f"====>  Error in updated_data(); A column name is misspelled; function: {str(e)}")
+        except KeyError as e:
+            codewars_test.fail(f"====> Error: Column '{e.args[0]}' not found in DataFrame. Ensure you have the column '{e.args[0]}' in your data.")    
+        except NameError as e:
+            codewars_test.fail(f"====> Error: Column '{e.args[0]}' not found in DataFrame. Ensure you have the column '{e.args[0]}' in your data.")    
+            
+    # Test Array Slicing
+    @codewars_test.it('2. Test Pemotongan Array-')
+    def test_array_slicing():
+        print("========================================================================")
+        expected_array_slicing = np.array([50, 60])
+        try:
+            actual_array_slicing = pc.data_spesifik
+            # Check element-wise equality using np.array_equal
+            codewars_test.assert_equals(True, np.array_equal(expected_array_slicing, actual_array_slicing), 'Error : The result of array slicing does not match the expected output. ')
+        except Exception as e:
+            codewars_test.fail(f"====> A variable name is misspelled; function: {str(e)}")
+        except KeyError as e:
+            codewars_test.fail(f"====> Error: Column '{e.args[0]}' not found in DataFrame. Ensure you have the column '{e.args[0]}' in your data.")    
+    
+        print("""NOTE:
+        Potong pada array kotak index-0, 
+        ambil baris index-1, 
+        kolom index-1 hingga index-2""")
+
+    # Test Output Type of Sliced Array
+    @codewars_test.it('3. Test Tipe Hasil Pemotongan Array-')
+    def test_output_type():
+        print("========================================================================")
+        expected_type = np.ndarray  # Expected type
+
+        try:
+            # Assuming pc.array_potongan is the sliced array from answer.py
+            codewars_test.assert_equals(expected_type, type(pc.data_spesifik), 'Error : The type of the sliced array should be a NumPy ndarray')
+        except Exception as e:
+            codewars_test.fail(f"====> A variable name is misspelled; function: {str(e)}")
+        except KeyError as e:
+            codewars_test.fail(f"====> Error: Column '{e.args[0]}' not found in DataFrame. Ensure you have the column '{e.args[0]}' in your data.")    
+    
+
+    # @codewars_test.it('4. Test Print Hasil Pemotongan Array-')
+    # def test_output_type():
+    #     print("========================================================================")
+    #     expected = "[50 60]"
+    #     output_lines = cmd.stdout.decode().splitlines()
+    #     if output_lines:
+    #         actual_value = output_lines[0]
+    #     else:
+    #         actual_value = " "
+
+    #     codewars_test.assert_equals(actual_value, expected, 'Error :Tidak Menampilkan nilai data_spesifik menggunakan print()')    
+
+
+if __name__ == '__main__':
+    codewars_test  # Run the tests

TestPython/test_chapter3_experiments2.py

@@ -0,0 +1,95 @@
+import random
+import sys
+from pathlib import Path
+import numpy as np
+import subprocess
+import importlib
+import codewars_test
+import pandas as pd
+
+# Update paths and filename
+path_answer = "/content/"  # changed
+filename = "answer_chapter3_experiments2.py"  # changed
+
+# Import the answer module
+pc = importlib.import_module(filename[:-3], ".")
+cmd = subprocess.run([sys.executable, f"{path_answer}{filename}"], capture_output=True)  # changed
+
+@codewars_test.describe("Chapter 3 | Experiments 2")
+def fixed_tests():
+
+    @codewars_test.it("1. Test Loading Data")
+    def test_load_data():
+        print("========================================================================")
+        # Assuming expected columns are "Customer ID", "Age" and "Total Spent (USD)"
+        expected_columns = ["Invoice ID", "Branch", "City", "Customer type", "Gender", "Product line", "Unit price", "Quantity", "Tax 5%", "Total", "Date", "Time", "Payment", "cogs", "gross margin percentage", "gross income", "Rating"]
+        try:
+            codewars_test.assert_equals(list(pc.data_load().columns), expected_columns, "====> The provided dataset URL is incorrect; columns in the dataset differ")  # Error message translated
+        except Exception as e:
+            codewars_test.fail(f"====> Error loading data; There's a typo in the code: {str(e)}")  # Error message translated
+
+        expected_rows = 1000
+        try:
+            codewars_test.assert_equals(len(pc.data_load()), expected_rows, "====> Double-check the provided URL; number of data points in the dataset differs")  # Error message translated
+        except Exception as e:
+            codewars_test.fail(f"====> Error checking row count; There's a typo in the code: {str(e)}")  # Error message translated
+
+    @codewars_test.it("2. Test Function head_rows()")
+    def test_show_first_five_rows():
+        print("========================================================================")
+        # Call the function and capture the output
+        try:
+            actual_output = pc.head_rows().shape[0]  # Get the number of rows
+
+            expected_rows = 5
+
+            # Assert that the expected output matches the actual output
+            codewars_test.assert_equals(actual_output, expected_rows, "Should Show First Five Rows")  # Validation message
+        except Exception as e:
+            codewars_test.fail(f"====> Error in head_rows(); There's a typo in the function code: {str(e)}")  # Error message translated
+        except KeyError as e:
+            codewars_test.fail(f"====> Error: Column '{e.args[0]}' not found in the DataFrame. Ensure you have the column '{e.args[0]}' in your data.")  # Error message translated
+
+    @codewars_test.it("3. Test Creating 'Revenue' Column")
+    def test_add_revenue_column():
+        print("========================================================================")
+
+        try:
+            df = pc.updated_data()
+
+            codewars_test.assert_equals("Total Revenue" in df.columns, True,
+                                         "====> Error: Column 'Total Revenue' not found; Define the column name correctly")  # Error message translated
+        except Exception as e:
+            codewars_test.fail(f"====> Error in updated_data(); A column name is misspelled. Function: {str(e)}")  # Error message translated
+        except KeyError as e:
+            codewars_test.fail(f"====> Error: Column '{e.args[0]}' not found in the DataFrame. Ensure you have the column '{e.args[0]}' in your data.")  # Error message translated
+
+    @codewars_test.it("4. Test 'total_pendapatan' Variable Value")
+    def test_total_revenue():
+        print("========================================================================")
+        # Assert few basic statistics on total spent
+        expected_total_revenue = 307587.38
+
+        try:
+            df = pc.updated_data()
+
+            if 'Unit price' in df.columns and 'Quantity' in df.columns:
+                actual = pc.total_pendapatan()
+                codewars_test.assert_equals(actual, expected_total_revenue, "====> Error: Total Revenue should have the correct value")  # Error message translated
+            else:
+                codewars_test.fail("====> Error: Columns 'Unit price' or 'Quantity' not found in the DataFrame. Ensure you have the columns 'Unit price' and 'Quantity' in your data.")  # Error message translated
+        except Exception as e:
+            codewars
+    # @codewars_test.it("5. Test Print Fungsi Jumlah Pendapatan")
+    # def test_total_revenue():
+    #     print("========================================================================")
+    #     expected= "307587.38"
+    #     output_lines = cmd.stdout.decode().splitlines()
+    #     if output_lines:
+    #         actual_value = output_lines[0]
+    #     else:
+    #         actual_value = " "
+
+    #     codewars_test.assert_equals(actual_value, expected, '====> Error :Tidak Menampilkan nilai fungsi jumalah_pendapatan() menggunakan print()')    
+
+

TestPython/test_chapter3_experiments3.py

@@ -0,0 +1,67 @@
+
+import random
+import sys
+from pathlib import Path
+import numpy as np
+import subprocess
+import importlib
+import codewars_test
+import pandas as pd
+
+# Update paths and filename
+path_answer = "/content/"  # changed
+filename = "answer_chapter3_experiments3.py"  # changed
+
+
+# Import the answer module
+pc = importlib.import_module(filename[:-3], ".")
+cmd = subprocess.run([sys.executable, f"{path_answer}{filename}"], capture_output=True)  # changed
+
+@codewars_test.describe("Chapter 3 | Experiments 3")
+def fixed_tests():
+
+    @codewars_test.it("1. Test Loading Data")
+    def test_load_data():
+        print("========================================================================")
+        # Assuming expected columns are "Customer ID", "Age" and "Total Spent (USD)"
+        expected_columns = ['Movie_Title', 'Release_Year', 'Genre', 'Director', 'Critic_Score',
+                            'User_Rating', 'Studio', 'Running_Time', 'Budget', 'Box_Office',
+                            'Unnamed: 10']
+        try:
+            codewars_test.assert_equals(list(pc.data_load().columns), expected_columns, "====> The provided dataset URL is incorrect; columns in the dataset differ")  # Error message translated
+        except Exception as e:
+            codewars_test.fail(f"====> Error loading data; There's a typo in the code: {str(e)}")  # Error message translated
+
+        expected_rows = 18
+        try:
+            codewars_test.assert_equals(len(pc.data_load()), expected_rows, "====> The provided dataset URL is incorrect; columns in the dataset differ")  # Error message translated
+        except Exception as e:
+            codewars_test.fail(f"====> Error checking row count; There's a typo in the code: {str(e)}")  # Error message translated
+        print("")
+
+    @codewars_test.it("2. Test Critic_Score Conversion")
+    def test_critic_scores():
+        print("========================================================================")
+
+        try:
+            codewars_test.assert_equals(isinstance(pc.critic_scores(), np.ndarray), True, ">>> ERROR in function critic_scores(); Check variable name")  # Error message translated
+        except Exception as e:
+            codewars_test.fail(f"====> Error in function critic_scores(); There's a typo in the code: {str(e)}")  # Error message translated
+        except KeyError as e:
+            codewars_test.fail(f"====> Error loading data; There's a typo in the code: {str(e)}")  # Error message translated
+
+    @codewars_test.it("3. Test Create Variable top_10_movies")
+    def test_top_10_movies():
+        print("========================================================================")
+
+        try:
+            codewars_test.assert_equals(isinstance(pc.top_10_movies(), pd.DataFrame), True, "top_10_movies should be a pandas DataFrame")  # Validation message translated
+        except Exception as e:
+            codewars_test.fail(f"====> Error in function sorted_indices(); There's a typo in the code: {str(e)}")  # Error message translated
+        print("")
+
+    # @codewars_test.it("3. Test Print Top 10 Movies")
+    # def test_critic_scores():
+    #     print("========================================================================")
+    #     output_lines = cmd.stdout.decode().splitlines()
+    #     codewars_test.assert_equals(bool(output_lines), True, '====> Error :Tidak Menampilkan 10 Movies menggunakan print()')

TestPython/test_chapter3_experiments4.py

@@ -0,0 +1,156 @@
+import random
+import sys
+from pathlib import Path
+import numpy as np
+import subprocess
+import importlib
+import codewars_test
+import pandas as pd
+
+# Update paths and filename
+path_answer = "/content/"  # changed
+filename = "answer_chapter3_experiments4.py"  # changed
+
+# Import the answer module
+pc = importlib.import_module(filename[:-3], ".")
+cmd = subprocess.run([sys.executable, f"{path_answer}{filename}"], capture_output=True)  # changed
+
+
+@codewars_test.describe("Chapter 3 | Experiments 4")
+def fixed_tests():
+
+    @codewars_test.it("1. Test Loading Data")
+    def test_load_data():
+        print("========================================================================")
+        # Assuming expected columns are "Customer ID", "Age" and "Total Spent (USD)"
+        expected_columns = ["Customer ID", "Age", "Total Spent (USD)"]
+        try:
+            codewars_test.assert_equals(list(pc.data_load().columns), expected_columns, "====> The provided dataset URL is incorrect; columns in the dataset differ")  # Error message translated
+        except Exception as e:
+            codewars_test.fail(f"====> Error loading data; There's a typo in the code: {str(e)}")  # Error message translated
+
+        expected_rows = 50
+        try:
+            codewars_test.assert_equals(len(pc.data_load()), expected_rows, "====> The provided dataset URL is incorrect; columns in the dataset differ")  # Error message translated
+        except Exception as e:
+            codewars_test.fail(f"====> Error checking row count; There's a typo in the code: {str(e)}")  # Error message translated
+        print("")
+
+    @codewars_test.it("2. Test Show First Five Rows")
+    def test_show_first_five_rows():
+        # Call the function and capture the output
+        print("========================================================================")
+        try:
+            actual_output = pc.head_rows().shape[0]  # Get the number of rows
+            expected_rows = 5
+
+            # Assert that the expected output matches the actual output
+            codewars_test.assert_equals(actual_output, expected_rows, "Output from head_rows() is incorrect; It should display 5 rows of data; Your output")  # Validation message translated
+        except Exception as e:
+            codewars_test.fail(f"====> Error in head_rows(); There's a typo in the function code: {str(e)}")  # Error message translated
+
+        print("")
+
+    @codewars_test.it("3. Test Calculate Descriptive Statistics for Customer Age")
+    def test_age_descriptive_stats():
+        print("========================================================================")
+        # Assert few basic statistics on age
+        expected_mean = 34.54
+        expected_std = 13.069999921927455
+        expected_median = 33.5
+        expected_skew = 0.2325824223215271
+        try:
+
+            codewars_test.assert_equals(pc.data_load()["Age"].mean(), expected_mean, "Age mean should be positive")  # Validation message translated
+            codewars_test.assert_equals(pc.data_load()["Age"].std(), expected_std, "Age standard deviation should be positive")  # Validation message translated
+            codewars_test.assert_equals(pc.data_load()["Age"].median(), expected_median, "Age mean should be positive")  # Validation message translated
+            codewars_test.assert_equals(pc.data_load()["Age"].skew(), expected_skew, "Age standard deviation should be positive")  # Validation message translated
+
+            quartile = pc.data_load()["Age"].quantile([0.25, 0.5, 0.75])
+
+            codewars_test.assert_equals(type(quartile), pd.Series, "Quartiles should be a pandas Series")  # Validation message translated
+
+        except Exception as e:
+            codewars_test.fail(f"====> Error in head_rows(); There's a typo in the function code: {str(e)}")  # Error message translated
+        print("")
+
+
+
+    @codewars_test.it("4. Test Quartiles' Value (Age)")
+    def test_quartile_values():
+        print("========================================================================")
+        # Assuming quartiles are for "Age" (adjust expected values as needed)
+        try:
+            expected_quartiles = np.array([22.25, 33.50, 45.00])  # Adjust these based on your data
+            tolerance = 5  # Adjust tolerance for approximate value comparison
+            calculated_quartiles = pc.data_load()["Age"].quantile([0.25, 0.5, 0.75])
+
+            codewars_test.assert_equals(np.allclose(calculated_quartiles, expected_quartiles, atol=tolerance), True,
+                                       "Quartiles should be close to expected values")
+        except Exception as e:
+            codewars_test.fail(f"====> Error in head_rows(); There's a typo in the function code: {str(e)}")  # Error message translated
+
+        print("")
+
+    @codewars_test.it("5. Test Descriptive Statistics for Total Spent (USD)")
+    def test_total_spent_descriptive_stats():
+        print("========================================================================")
+        # Assert few basic statistics on total spent
+        expected_mean = 114.0
+        expected_std = 52.45989721993868
+        expected_median = 110.0
+        expected_skew = 0.19622312582543433
+
+        try:
+            codewars_test.assert_equals(pc.data_load()["Total Spent (USD)"].mean(), expected_mean,
+                                       "Total Spent mean should be positive")
+            codewars_test.assert_equals(pc.data_load()["Total Spent (USD)"].std(), expected_std,
+                                       "Total Spent standard deviation should be positive")
+            codewars_test.assert_equals(pc.data_load()["Total Spent (USD)"].median(), expected_median,
+                                       "Total Spent median should be positive")
+            codewars_test.assert_equals(pc.data_load()["Total Spent (USD)"].skew(), expected_skew,
+                                       "Total Spent skewness should be positive")
+
+            quartile = pc.data_load()["Total Spent (USD)"].quantile([0.25, 0.5, 0.75])
+
+            codewars_test.assert_equals(type(quartile), pd.Series, "Quartiles should be a pandas Series")
+        except Exception as e:
+            codewars_test.fail(f"====> Error in head_rows(); There's a typo in the function code: {str(e)}")  # Error message translated
+
+        print("")
+
+    @codewars_test.it("6. Test Quartiles' Value (Total Spent (USD))")
+    def test_quartile_values():
+        print("========================================================================")
+        # Assuming quartiles are for "Age" (adjust expected values as needed)
+
+        expected_quartiles = np.array([71.25, 110.00, 153.75])  # Adjust these based on your data
+        tolerance = 5  # Adjust tolerance for approximate value comparison
+
+        try:
+            calculated_quartiles = pc.data_load()["Total Spent (USD)"].quantile([0.25, 0.5, 0.75])
+
+            codewars_test.assert_equals(np.allclose(calculated_quartiles, expected_quartiles, atol=tolerance), True,
+                                       "Quartiles should be close to expected values")
+        except Exception as e:
+            codewars_test.fail(f"====> Error in head_rows(); There's a typo in the function code: {str(e)}")  # Error message translated
+
+        print("")
+
+    @codewars_test.it("7. calculates correlation coefficient")
+    def test_correlation():
+        print("========================================================================")
+        # Assert correlation coefficient is a number
+
+        try:
+            corr_ = pc.correlation()
+
+            codewars_test.assert_equals(isinstance(corr_, float), True, ">>>> Error in function correlation(); Variable 'correlation' is not defined; Check variable name")  # Error message translated
+        except Exception as e:
+            codewars_test.fail(f"====> Error in correlation(); There's a typo in the function code: {str(e)}")  # Error message translated
+        except NameError as e:
+            codewars_test.fail(f"====> Error in correlation(); There's a typo in the function code: {str(e)}")  # Error message translated
+        print("")
+
+
+

TestPython/test_chapter3_experiments5.py

@@ -0,0 +1,82 @@
+import random
+import sys
+from pathlib import Path
+import numpy as np
+import subprocess
+import importlib
+import codewars_test
+import pandas as pd
+
+# Update paths and filename
+path_answer = "/content/"  # changed
+filename = "answer_chapter3_experiments5.py"  # changed
+
+# Import the answer module
+pc = importlib.import_module(filename[:-3], ".")
+cmd = subprocess.run([sys.executable, f"{path_answer}{filename}"], capture_output=True)  # changed
+
+@codewars_test.describe("Chapter 3 | Experiments 5")
+def fixed_tests():
+
+    @codewars_test.it("1. Test Loading Data")
+    def test_load_data():
+        print("========================================================================")
+        # Assuming expected columns are "Customer ID", "Age" and "Total Spent (USD)"
+        expected_columns = ['No', 'Nama Produk', 'Kategori', 'Harga (Rp)', 'Jumlah Terjual']
+        try:
+            codewars_test.assert_equals(list(pc.load_data().columns), expected_columns, "====> The provided dataset URL is incorrect; columns in the dataset differ")  # Error message translated
+        except Exception as e:
+            codewars_test.fail(f"====> Error loading data; There's a typo in the code: {str(e)}")  # Error message translated
+
+        expected_rows = 33
+        try:
+            codewars_test.assert_equals(len(pc.load_data()), expected_rows, "====> The provided dataset URL is incorrect; columns in the dataset differ")  # Error message translated
+        except Exception as e:
+            codewars_test.fail(f"====> Error checking row count; There's a typo in the code: {str(e)}")  # Error message translated
+        print("")
+
+    @codewars_test.it("2. Test Calculates Mean")
+    # Assuming your function calculates mean, median, and standard deviation
+    def test_descriptive_statistics():
+        print("========================================================================")
+
+        # Test mean of "Jumlah Terjual"
+        expected_mean = 16.09375  # Replace with expected mean value
+
+        try:
+            codewars_test.assert_equals(pc.load_data()["Jumlah Terjual"].mean(), expected_mean, "Total Spent mean should be positive")
+        except Exception as e:
+            codewars_test.fail(f"====> Error checking row count; There's a typo in the code: {str(e)}")  # Error message translated
+
+        print(" ")
+
+    @codewars_test.it("3. Test Calculates Median")
+    def test_descriptive_statistics():
+        print("========================================================================")
+
+        # Test median of "Jumlah Terjual"
+        expected_median = 15.0  # Replace with expected median value
+        data = pc.load_data()["Jumlah Terjual"].median()
+
+        try:
+            codewars_test.assert_equals(pc.load_data()["Jumlah Terjual"].median(), expected_median, "Age mean should be positive")
+        except Exception as e:
+            codewars_test.fail(f"====> Error checking row count; There's a typo in the code: {str(e)}")  # Error message translated
+
+        print(" ")
+
+    @codewars_test.it("4. Test Calculates Mode")
+    def test_descriptive_statistics():
+        print("========================================================================")
+
+        data = pc.load_data()
+        expected_mode = 8
+        mode_jumlah_terjual = data["Jumlah Terjual"].mode().iloc[0]
+
+        try:
+            codewars_test.assert_equals(mode_jumlah_terjual, expected_mode)
+        except Exception as e:
+            codewars_test.fail(f"====> Error checking row count; There's a typo in the code: {str(e)}")  # Error message translated
+
+        print(" ")
+

TestPython/test_chapter4_experiments1.py

@@ -0,0 +1,66 @@
+import random
+import sys
+from pathlib import Path
+import numpy as np
+import subprocess
+import importlib
+import codewars_test
+import pandas as pd
+import matplotlib.pyplot as plt
+
+# Update paths and filename
+path_answer = "/content/"  # changed
+filename = "answer_chapter4_experiments1.py"  # changed
+
+# Import the answer module
+pc = importlib.import_module(filename[:-3], ".")
+cmd = subprocess.run([sys.executable, f"{path_answer}{filename}"], capture_output=True)  # changed
+
+@codewars_test.describe("Chapter 4 | Experiments 1")
+def fixed_tests():
+    data = {
+        'Age Group': ['0-18', '19-30', '31-45', '46-60', '61+'],
+        'Population': [25000, 30000, 20000, 15000, 10000]
+    }
+    df = pd.DataFrame(data)
+
+    @codewars_test.it("1. Test Loading Data")
+    def test_load_data():
+        print("========================================================================")
+        # Assuming expected columns are "Customer ID", "Age" and "Total Spent (USD)"
+        expected_columns = ['Age Group', 'Population']
+        try:
+            codewars_test.assert_equals(list(pc.load_data().columns), expected_columns, "====> The provided dataset URL is incorrect; columns in the dataset differ")  # Error message translated
+        except Exception as e:
+            codewars_test.fail(f"====> Error loading data; There's a typo in the code: {str(e)}")  # Error message translated
+
+        expected_rows = 5
+        try:
+            codewars_test.assert_equals(len(pc.load_data()), expected_rows, "Dataframe should have expected rows")  # Validation message translated
+        except Exception as e:
+            codewars_test.fail(f"====> Error checking row count; There's a typo in the code: {str(e)}")  # Error message translated
+        print("")
+
+    @codewars_test.it("Get Population Column")
+    def test_get_population_column():
+        print("========================================================================")
+        expected_total = list(df['Population'])
+        codewars_test.assert_equals(list(pc.load_data()['Population']), expected_total, "Dataframe should have expected total")  # Validation message translated
+        print("")
+
+    @codewars_test.it("Get Age Group Column")
+    def test_get_age_group_column():
+        print("========================================================================")
+        expected_total = list(df['Age Group'])
+        codewars_test.assert_equals(list(pc.load_data()['Age Group']), expected_total, "Dataframe should have expected total")  # Validation message translated
+        print("")
+
+    @codewars_test.it("Check Pie Chart")
+    def test_pie_chart():
+        print("========================================================================")
+        # Since we can't directly test the pie chart, we'll test the create_pie_chart function
+        try:
+            pc.create_pie_chart()
+        except Exception as e:
+            codewars_test.fail(f"====> Error creating pie chart; There's a typo in the code: {str(e)}")  # Error message translated
+        print("")

TestPython/testing(eng)/test_bab1_percobaan1.py

@@ -0,0 +1,36 @@
+import random
+import sys
+from pathlib import Path
+import numpy as np
+import subprocess
+import importlib
+import codewars_test
+import pandas as pd
+
+# Update paths and filename
+path_answer = "/content/"  # changed
+filename = "answer_bab1_percobaan1.py"  # changed
+
+
+# Import the answer module
+pc = importlib.import_module(filename[:-3], ".")
+cmd = subprocess.run([sys.executable, f"{path_answer}{filename}"], capture_output=True)  # changed
+
+@codewars_test.describe("Chapter 1 | Practicum 1")
+def fixed_tests():
+    print("========================================================================")
+    @codewars_test.it("1. Load Data Testing")
+    def test_load_data():
+        # Assuming expected columns are "Customer ID", "Age" and "Total Spent (USD)"
+        expected_columns = ['Customer ID', 'Age', 'Total Spent (USD)']
+        codewars_test.assert_equals(list(pc.data_load().columns), expected_columns, "====> The URL of the dataset used is incorrect; the columns in the dataset do not match")
+              
+        expected_rows = 50
+        codewars_test.assert_equals(len(pc.data_load()), expected_rows, "====> Recheck the URL used; the number of data in the dataset is different")
+        
+
+    # @codewars_test.it("2. Test Print Nilai Fungsi data_load()")
+    # def test_total_revenue():
+    #     print("========================================================================")
+    #     output_lines = cmd.stdout.decode().splitlines()
+    #     codewars_test.assert_equals(bool(output_lines), True, '====> Error :Tidak Menampilkan nilai fungsi data_load() menggunakan print()')

iCLOP-V2-NEW/iCLOP-V2-NEW

@@ -0,0 +1 @@
+Subproject commit 6a0fac2538b21105c23ba115d1a0106ebdc7bb06

iclop3.sql

@@ -0,0 +1,828 @@
+-- --------------------------------------------------------
+-- Host:                         127.0.0.1
+-- Server version:               5.7.33 - MySQL Community Server (GPL)
+-- Server OS:                    Win64
+-- HeidiSQL Version:             11.2.0.6213
+-- --------------------------------------------------------
+
+/*!40101 SET @OLD_CHARACTER_SET_CLIENT=@@CHARACTER_SET_CLIENT */;
+/*!40101 SET NAMES utf8 */;
+/*!50503 SET NAMES utf8mb4 */;
+/*!40014 SET @OLD_FOREIGN_KEY_CHECKS=@@FOREIGN_KEY_CHECKS, FOREIGN_KEY_CHECKS=0 */;
+/*!40101 SET @OLD_SQL_MODE=@@SQL_MODE, SQL_MODE='NO_AUTO_VALUE_ON_ZERO' */;
+/*!40111 SET @OLD_SQL_NOTES=@@SQL_NOTES, SQL_NOTES=0 */;
+
+-- Dumping structure for table iclop3.execution_steps
+CREATE TABLE IF NOT EXISTS `execution_steps` (
+  `id` bigint(20) unsigned NOT NULL AUTO_INCREMENT,
+  `name` varchar(255) COLLATE utf8mb4_unicode_ci NOT NULL,
+  `commands` json NOT NULL,
+  `created_at` timestamp NULL DEFAULT NULL,
+  `updated_at` timestamp NULL DEFAULT NULL,
+  PRIMARY KEY (`id`)
+) ENGINE=InnoDB DEFAULT CHARSET=utf8mb4 COLLATE=utf8mb4_unicode_ci;
+
+-- Dumping data for table iclop3.execution_steps: ~0 rows (approximately)
+/*!40000 ALTER TABLE `execution_steps` DISABLE KEYS */;
+/*!40000 ALTER TABLE `execution_steps` ENABLE KEYS */;
+
+-- Dumping structure for table iclop3.failed_jobs
+CREATE TABLE IF NOT EXISTS `failed_jobs` (
+  `id` bigint(20) unsigned NOT NULL AUTO_INCREMENT,
+  `uuid` varchar(255) COLLATE utf8mb4_unicode_ci NOT NULL,
+  `connection` text COLLATE utf8mb4_unicode_ci NOT NULL,
+  `queue` text COLLATE utf8mb4_unicode_ci NOT NULL,
+  `payload` longtext COLLATE utf8mb4_unicode_ci NOT NULL,
+  `exception` longtext COLLATE utf8mb4_unicode_ci NOT NULL,
+  `failed_at` timestamp NOT NULL DEFAULT CURRENT_TIMESTAMP,
+  PRIMARY KEY (`id`),
+  UNIQUE KEY `failed_jobs_uuid_unique` (`uuid`)
+) ENGINE=InnoDB DEFAULT CHARSET=utf8mb4 COLLATE=utf8mb4_unicode_ci;
+
+-- Dumping data for table iclop3.failed_jobs: ~0 rows (approximately)
+/*!40000 ALTER TABLE `failed_jobs` DISABLE KEYS */;
+/*!40000 ALTER TABLE `failed_jobs` ENABLE KEYS */;
+
+-- Dumping structure for table iclop3.jobs
+CREATE TABLE IF NOT EXISTS `jobs` (
+  `id` bigint(20) unsigned NOT NULL AUTO_INCREMENT,
+  `queue` varchar(255) COLLATE utf8mb4_unicode_ci NOT NULL,
+  `payload` longtext COLLATE utf8mb4_unicode_ci NOT NULL,
+  `attempts` tinyint(3) unsigned NOT NULL,
+  `reserved_at` int(10) unsigned DEFAULT NULL,
+  `available_at` int(10) unsigned NOT NULL,
+  `created_at` int(10) unsigned NOT NULL,
+  PRIMARY KEY (`id`),
+  KEY `jobs_queue_index` (`queue`)
+) ENGINE=InnoDB DEFAULT CHARSET=utf8mb4 COLLATE=utf8mb4_unicode_ci;
+
+-- Dumping data for table iclop3.jobs: ~0 rows (approximately)
+/*!40000 ALTER TABLE `jobs` DISABLE KEYS */;
+/*!40000 ALTER TABLE `jobs` ENABLE KEYS */;
+
+-- Dumping structure for table iclop3.materials
+CREATE TABLE IF NOT EXISTS `materials` (
+  `id` bigint(20) unsigned NOT NULL AUTO_INCREMENT,
+  `title` varchar(255) COLLATE utf8mb4_unicode_ci DEFAULT NULL,
+  `description` text COLLATE utf8mb4_unicode_ci,
+  `folder_path` varchar(255) COLLATE utf8mb4_unicode_ci DEFAULT NULL,
+  `status` varchar(255) COLLATE utf8mb4_unicode_ci NOT NULL,
+  `created_at` timestamp NULL DEFAULT NULL,
+  `updated_at` timestamp NULL DEFAULT NULL,
+  `deleted_at` timestamp NULL DEFAULT NULL,
+  PRIMARY KEY (`id`)
+) ENGINE=InnoDB AUTO_INCREMENT=5 DEFAULT CHARSET=utf8mb4 COLLATE=utf8mb4_unicode_ci;
+
+-- Dumping data for table iclop3.materials: ~4 rows (approximately)
+/*!40000 ALTER TABLE `materials` DISABLE KEYS */;
+INSERT INTO `materials` (`id`, `title`, `description`, `folder_path`, `status`, `created_at`, `updated_at`, `deleted_at`) VALUES
+	(1, '[CHAPTER 1] LOADING DATA', 'Mahasiswa akan memahami konsep, menerapkan teknik, dan memiliki dasar yang kuat untuk melakukan Data Loading dalam berbagai proyek analisis data.', NULL, '', '2024-08-07 14:08:50', '2024-08-07 14:08:51', NULL),
+	(2, '[CHAPTER 2] CLEANING DATA', 'Mahasiswa mengenal materi pembersihan data (data cleaning). Pembersihan data adalah proses persiapan data yang melibatkan identifikasi, memahami, dan menangani kesalahan (errors), missing values, dan inkonsistensi dalam kumpulan data.', NULL, '', '2024-08-07 14:09:40', '2024-08-07 14:09:41', NULL),
+	(3, '[CHAPTER 3] DATA MANIPULATION', 'Mahasiswa mengenal materi Manipulasi Data menggunakan bahasa pemrograman Python antara lain mahasiswa akan mempelajari tentang penggunaan library Python seperti NumPy dan Pandas.', NULL, '', '2024-08-07 14:09:39', '2024-08-07 14:09:39', NULL),
+	(4, '[CHAPTER 4] DATA VISUALIZATION', 'Mahasiswa mengenal materi visualisasi data menggunakan Matplotlib pada bahasa pemrograman python.', NULL, '', '2024-08-07 14:45:27', '2024-08-07 14:45:28', NULL);
+/*!40000 ALTER TABLE `materials` ENABLE KEYS */;
+
+-- Dumping structure for table iclop3.media
+CREATE TABLE IF NOT EXISTS `media` (
+  `id` bigint(20) unsigned NOT NULL AUTO_INCREMENT,
+  `model_type` varchar(255) COLLATE utf8mb4_unicode_ci NOT NULL,
+  `model_id` bigint(20) unsigned NOT NULL,
+  `uuid` char(36) COLLATE utf8mb4_unicode_ci DEFAULT NULL,
+  `collection_name` varchar(255) COLLATE utf8mb4_unicode_ci NOT NULL,
+  `name` varchar(255) COLLATE utf8mb4_unicode_ci NOT NULL,
+  `file_name` varchar(255) COLLATE utf8mb4_unicode_ci NOT NULL,
+  `mime_type` varchar(255) COLLATE utf8mb4_unicode_ci DEFAULT NULL,
+  `disk` varchar(255) COLLATE utf8mb4_unicode_ci NOT NULL,
+  `conversions_disk` varchar(255) COLLATE utf8mb4_unicode_ci DEFAULT NULL,
+  `size` bigint(20) unsigned NOT NULL,
+  `manipulations` json NOT NULL,
+  `custom_properties` json NOT NULL,
+  `generated_conversions` json NOT NULL,
+  `responsive_images` json NOT NULL,
+  `order_column` int(10) unsigned DEFAULT NULL,
+  `created_at` timestamp NULL DEFAULT NULL,
+  `updated_at` timestamp NULL DEFAULT NULL,
+  PRIMARY KEY (`id`),
+  UNIQUE KEY `media_uuid_unique` (`uuid`),
+  KEY `media_model_type_model_id_index` (`model_type`,`model_id`),
+  KEY `media_order_column_index` (`order_column`)
+) ENGINE=InnoDB DEFAULT CHARSET=utf8mb4 COLLATE=utf8mb4_unicode_ci;
+
+-- Dumping data for table iclop3.media: ~0 rows (approximately)
+/*!40000 ALTER TABLE `media` DISABLE KEYS */;
+/*!40000 ALTER TABLE `media` ENABLE KEYS */;
+
+-- Dumping structure for table iclop3.migrations
+CREATE TABLE IF NOT EXISTS `migrations` (
+  `id` int(10) unsigned NOT NULL AUTO_INCREMENT,
+  `migration` varchar(255) COLLATE utf8mb4_unicode_ci NOT NULL,
+  `batch` int(11) NOT NULL,
+  PRIMARY KEY (`id`)
+) ENGINE=InnoDB AUTO_INCREMENT=15 DEFAULT CHARSET=utf8mb4 COLLATE=utf8mb4_unicode_ci;
+
+-- Dumping data for table iclop3.migrations: ~14 rows (approximately)
+/*!40000 ALTER TABLE `migrations` DISABLE KEYS */;
+INSERT INTO `migrations` (`id`, `migration`, `batch`) VALUES
+	(1, '2014_10_12_000000_create_users_table', 1),
+	(2, '2014_10_12_100000_create_password_reset_tokens_table', 1),
+	(3, '2019_08_19_000000_create_failed_jobs_table', 1),
+	(4, '2019_12_14_000001_create_personal_access_tokens_table', 1),
+	(5, '2023_08_10_070723_create_jobs_table', 1),
+	(6, '2023_08_10_071422_nodejs_tables', 1),
+	(7, '2023_08_10_074328_create_media_table', 1),
+	(8, '2023_08_22_141816_create_sessions_table', 1),
+	(9, '2024_08_02_163346_create_materials_table', 1),
+	(10, '2024_08_02_163742_create_tasks_table', 1),
+	(11, '2024_08_04_032352_add_pdf_path_to_tasks_table', 1),
+	(12, '2024_08_04_034834_remove_material_column_from_tasks_table', 1),
+	(13, '2024_08_04_103221_create_student_submissions_table', 1),
+	(14, '2024_08_07_154955_add_new_column_to_student_submissions_table', 2);
+/*!40000 ALTER TABLE `migrations` ENABLE KEYS */;
+
+-- Dumping structure for table iclop3.password_reset_tokens
+CREATE TABLE IF NOT EXISTS `password_reset_tokens` (
+  `email` varchar(255) COLLATE utf8mb4_unicode_ci NOT NULL,
+  `token` varchar(255) COLLATE utf8mb4_unicode_ci NOT NULL,
+  `created_at` timestamp NULL DEFAULT NULL,
+  PRIMARY KEY (`email`)
+) ENGINE=InnoDB DEFAULT CHARSET=utf8mb4 COLLATE=utf8mb4_unicode_ci;
+
+-- Dumping data for table iclop3.password_reset_tokens: ~0 rows (approximately)
+/*!40000 ALTER TABLE `password_reset_tokens` DISABLE KEYS */;
+/*!40000 ALTER TABLE `password_reset_tokens` ENABLE KEYS */;
+
+-- Dumping structure for table iclop3.personal_access_tokens
+CREATE TABLE IF NOT EXISTS `personal_access_tokens` (
+  `id` bigint(20) unsigned NOT NULL AUTO_INCREMENT,
+  `tokenable_type` varchar(255) COLLATE utf8mb4_unicode_ci NOT NULL,
+  `tokenable_id` bigint(20) unsigned NOT NULL,
+  `name` varchar(255) COLLATE utf8mb4_unicode_ci NOT NULL,
+  `token` varchar(64) COLLATE utf8mb4_unicode_ci NOT NULL,
+  `abilities` text COLLATE utf8mb4_unicode_ci,
+  `last_used_at` timestamp NULL DEFAULT NULL,
+  `expires_at` timestamp NULL DEFAULT NULL,
+  `created_at` timestamp NULL DEFAULT NULL,
+  `updated_at` timestamp NULL DEFAULT NULL,
+  PRIMARY KEY (`id`),
+  UNIQUE KEY `personal_access_tokens_token_unique` (`token`),
+  KEY `personal_access_tokens_tokenable_type_tokenable_id_index` (`tokenable_type`,`tokenable_id`)
+) ENGINE=InnoDB DEFAULT CHARSET=utf8mb4 COLLATE=utf8mb4_unicode_ci;
+
+-- Dumping data for table iclop3.personal_access_tokens: ~0 rows (approximately)
+/*!40000 ALTER TABLE `personal_access_tokens` DISABLE KEYS */;
+/*!40000 ALTER TABLE `personal_access_tokens` ENABLE KEYS */;
+
+-- Dumping structure for table iclop3.projects
+CREATE TABLE IF NOT EXISTS `projects` (
+  `id` bigint(20) unsigned NOT NULL AUTO_INCREMENT,
+  `title` varchar(255) COLLATE utf8mb4_unicode_ci NOT NULL,
+  `description` text COLLATE utf8mb4_unicode_ci NOT NULL,
+  `tech_stack` json NOT NULL COMMENT 'keys: framework, language, database, testing',
+  `github_url` varchar(255) COLLATE utf8mb4_unicode_ci NOT NULL,
+  `image` varchar(255) COLLATE utf8mb4_unicode_ci NOT NULL,
+  `created_at` timestamp NULL DEFAULT NULL,
+  `updated_at` timestamp NULL DEFAULT NULL,
+  PRIMARY KEY (`id`)
+) ENGINE=InnoDB DEFAULT CHARSET=utf8mb4 COLLATE=utf8mb4_unicode_ci;
+
+-- Dumping data for table iclop3.projects: ~0 rows (approximately)
+/*!40000 ALTER TABLE `projects` DISABLE KEYS */;
+/*!40000 ALTER TABLE `projects` ENABLE KEYS */;
+
+-- Dumping structure for table iclop3.projects_default_file_structures
+CREATE TABLE IF NOT EXISTS `projects_default_file_structures` (
+  `id` bigint(20) unsigned NOT NULL AUTO_INCREMENT,
+  `project_id` bigint(20) unsigned NOT NULL,
+  `structure` json NOT NULL,
+  `excluded` json NOT NULL,
+  `replacements` json NOT NULL,
+  `created_at` timestamp NULL DEFAULT NULL,
+  `updated_at` timestamp NULL DEFAULT NULL,
+  PRIMARY KEY (`id`),
+  KEY `projects_default_file_structures_project_id_foreign` (`project_id`),
+  CONSTRAINT `projects_default_file_structures_project_id_foreign` FOREIGN KEY (`project_id`) REFERENCES `projects` (`id`) ON DELETE CASCADE
+) ENGINE=InnoDB DEFAULT CHARSET=utf8mb4 COLLATE=utf8mb4_unicode_ci;
+
+-- Dumping data for table iclop3.projects_default_file_structures: ~0 rows (approximately)
+/*!40000 ALTER TABLE `projects_default_file_structures` DISABLE KEYS */;
+/*!40000 ALTER TABLE `projects_default_file_structures` ENABLE KEYS */;
+
+-- Dumping structure for table iclop3.project_execution_steps
+CREATE TABLE IF NOT EXISTS `project_execution_steps` (
+  `id` bigint(20) unsigned NOT NULL AUTO_INCREMENT,
+  `project_id` bigint(20) unsigned NOT NULL,
+  `execution_step_id` bigint(20) unsigned NOT NULL,
+  `variables` json DEFAULT NULL,
+  `order` int(11) NOT NULL,
+  `created_at` timestamp NULL DEFAULT NULL,
+  `updated_at` timestamp NULL DEFAULT NULL,
+  PRIMARY KEY (`id`),
+  KEY `project_execution_steps_project_id_foreign` (`project_id`),
+  KEY `project_execution_steps_execution_step_id_foreign` (`execution_step_id`),
+  CONSTRAINT `project_execution_steps_execution_step_id_foreign` FOREIGN KEY (`execution_step_id`) REFERENCES `execution_steps` (`id`) ON DELETE CASCADE,
+  CONSTRAINT `project_execution_steps_project_id_foreign` FOREIGN KEY (`project_id`) REFERENCES `projects` (`id`) ON DELETE CASCADE
+) ENGINE=InnoDB DEFAULT CHARSET=utf8mb4 COLLATE=utf8mb4_unicode_ci;
+
+-- Dumping data for table iclop3.project_execution_steps: ~0 rows (approximately)
+/*!40000 ALTER TABLE `project_execution_steps` DISABLE KEYS */;
+/*!40000 ALTER TABLE `project_execution_steps` ENABLE KEYS */;
+
+-- Dumping structure for table iclop3.sessions
+CREATE TABLE IF NOT EXISTS `sessions` (
+  `id` varchar(255) COLLATE utf8mb4_unicode_ci NOT NULL,
+  `user_id` bigint(20) unsigned DEFAULT NULL,
+  `ip_address` varchar(45) COLLATE utf8mb4_unicode_ci DEFAULT NULL,
+  `user_agent` text COLLATE utf8mb4_unicode_ci,
+  `payload` longtext COLLATE utf8mb4_unicode_ci NOT NULL,
+  `last_activity` int(11) NOT NULL,
+  PRIMARY KEY (`id`),
+  KEY `sessions_user_id_index` (`user_id`),
+  KEY `sessions_last_activity_index` (`last_activity`)
+) ENGINE=InnoDB DEFAULT CHARSET=utf8mb4 COLLATE=utf8mb4_unicode_ci;
+
+-- Dumping data for table iclop3.sessions: ~0 rows (approximately)
+/*!40000 ALTER TABLE `sessions` DISABLE KEYS */;
+/*!40000 ALTER TABLE `sessions` ENABLE KEYS */;
+
+-- Dumping structure for table iclop3.student_submissions
+CREATE TABLE IF NOT EXISTS `student_submissions` (
+  `id` bigint(20) unsigned NOT NULL AUTO_INCREMENT,
+  `user_id` bigint(20) unsigned NOT NULL,
+  `task_id` bigint(20) unsigned NOT NULL,
+  `file_path` varchar(255) COLLATE utf8mb4_unicode_ci NOT NULL,
+  `spring_boot_submission_id` varchar(255) COLLATE utf8mb4_unicode_ci DEFAULT NULL,
+  `submission_count` int(11) NOT NULL DEFAULT '0',
+  `test_result` text COLLATE utf8mb4_unicode_ci,
+  `created_at` timestamp NULL DEFAULT NULL,
+  `updated_at` timestamp NULL DEFAULT NULL,
+  PRIMARY KEY (`id`),
+  KEY `student_submissions_user_id_foreign` (`user_id`),
+  KEY `student_submissions_task_id_foreign` (`task_id`),
+  CONSTRAINT `student_submissions_task_id_foreign` FOREIGN KEY (`task_id`) REFERENCES `tasks` (`id`),
+  CONSTRAINT `student_submissions_user_id_foreign` FOREIGN KEY (`user_id`) REFERENCES `users` (`id`)
+) ENGINE=InnoDB AUTO_INCREMENT=400 DEFAULT CHARSET=utf8mb4 COLLATE=utf8mb4_unicode_ci;
+
+-- Dumping data for table iclop3.student_submissions: ~371 rows (approximately)
+/*!40000 ALTER TABLE `student_submissions` DISABLE KEYS */;
+INSERT INTO `student_submissions` (`id`, `user_id`, `task_id`, `file_path`, `spring_boot_submission_id`, `submission_count`, `test_result`, `created_at`, `updated_at`) VALUES
+	(28, 6, 1, './public/submissions/answer_bab1_percobaan1.py', NULL, 1, '## BAB 1 | Percobaan 1\n\n1. Test Memuat Data - <PASSED>\n   Kesalahan: ====> Error :Tidak Menampilkan nilai fungsi data_load() menggunakan print(): False should equal True\n2. Test Print Nilai Fungsi data_load() - <FAILED>', '2024-08-13 04:58:11', '2024-08-13 04:58:18'),
+	(29, 6, 2, './public/submissions/answer_bab1_percobaan2.py', NULL, 1, '## BAB 1 | Percobaan 2\n\n1. Test Memuat Data  - <PASSED>\n2. Test Fungsi sample_rows() - <PASSED>\n   Kesalahan: ====> Error :Tidak Menampilkan nilai fungsi sample_rows() menggunakan print(): False should equal True\n3. Test Print Nilai Fungsi sample_rows() - <FAILED>', '2024-08-13 05:02:10', '2024-08-13 05:02:14'),
+	(30, 6, 4, './public/submissions/answer_bab2_percobaan3.py', NULL, 6, '## BAB 2 | Percobaan 3\n\n1. Test Memuat Data - <PASSED>\n   Kesalahan: ====> Error pada update_data(); Terdapat Typo pada kode function: name \'updated_df\' is not defined\n3. Test Mengisi Nilai yang Hilang  - <FAILED>', '2024-08-13 05:05:27', '2024-09-05 05:47:10'),
+	(31, 6, 5, './public/submissions/answer_bab3_percobaan1.py', NULL, 1, '## BAB 2 | Percobaan 1\n\n1. Test Dimensi Array- - <PASSED>\n2. Test Pemotongan Array- - <PASSED>\n3. Test Tipe Hasil Pemotongan Array- - <PASSED>\n   Kesalahan: Error :Tidak Menampilkan nilai data_spesifik menggunakan print(): \' \' should equal \'[50 60]\'\n4. Test Print Hasil Pemotongan Array- - <FAILED>', '2024-08-13 05:10:06', '2024-08-13 05:10:07'),
+	(32, 6, 6, './public/submissions/answer_bab3_percobaan2.py', NULL, 2, '## BAB 2 | Percobaan 2\n\n1. Test Memuat Data - <PASSED>\n2. Test Fungsi head_rows() - <PASSED>\n3. Test Membuat Kolom Revenue  - <PASSED>\n   Kesalahan: ====> Error: fungsi total_pendapatan. Cek nama dan atribut fungsi. \'numpy.float64\' object is not callable\n4. Test Nilai Variabel total_pendapatan - <FAILED>\n   Kesalahan: ====> Error :Tidak Menampilkan nilai fungsi jumalah_pendapatan() menggunakan print(): \' \' should equal \'307587.38\'\n5. Test Print Fungsi Jumlah Pendapatan - <FAILED>', '2024-08-13 05:14:01', '2024-08-13 05:15:37'),
+	(33, 6, 7, './public/submissions/answer_bab3_percobaan3.py', NULL, 1, '## BAB 3 | Percobaan 3\n\n1. Test Memuat Data - <PASSED>\n   Kesalahan: ====> Error Terdapat Typo pada fungsi critic_scores() pada kode: \'numpy.ndarray\' object is not callable\n2. Test Critic_Score Conversion - <FAILED>\n   Kesalahan: ====> Error Terdapat Typo pada blok fungsi sorted_indices() kode: \'DataFrame\' object is not callable\n2. Test Create Variable top_10_movies - <FAILED>\n   Kesalahan: ====> Error :Tidak Menampilkan 10 Movies menggunakan print(): False should equal True\n3. Test Print Top 10 Movies - <FAILED>', '2024-08-13 05:17:29', '2024-08-13 05:17:33'),
+	(34, 6, 8, './public/submissions/answer_bab3_percobaan4.py', NULL, 1, '## BAB 4 | Percobaan 4\n\n1. Test Memuat Data - <PASSED>\n2. TestShow First Five Rows - <PASSED>\n3. Test calculates descriptive statistics for Customer Age - <PASSED>\n4. Test quartiles\'s value | Age - <PASSED>\n5. Test calculates descriptive statistics for Total Spent - <PASSED>\n6. Test quartiles\'s value | Total Spent (USD) - <PASSED>\n   Kesalahan: ====> Error pada correlation(); Terdapat Typo pada kode function: \'numpy.float64\' object is not callable\n7. calculates correlation coefficient - <FAILED>', '2024-08-13 05:28:00', '2024-08-13 05:28:18'),
+	(35, 6, 9, './public/submissions/answer_bab3_percobaan5.py', NULL, 1, '## BAB 3 | Percobaan 5\n\n1. Test Memuat Data - <PASSED>\n2. Test Calculates Mean - <PASSED>\n3. Test Calculates Median - <PASSED>\n4. Test Calculates Mode - <PASSED>', '2024-08-13 05:37:23', '2024-08-13 05:37:30'),
+	(36, 6, 10, './public/submissions/answer_bab4_percobaan1.py', NULL, 3, '## BAB 4 | Percobaan 1\n\n1. Test Memuat Data - <PASSED>\nGet Population Column - <PASSED>\nGet Age Group Column - <PASSED>\nCheck Pie Chart - <PASSED>', '2024-08-13 05:46:08', '2024-08-29 06:40:40'),
+	(38, 11, 1, './public/submissions/answer_bab1_percobaan1.py', NULL, 1, '## BAB 1 | Percobaan 1\n\n1. Test Memuat Data - <PASSED>', '2024-08-13 15:40:27', '2024-08-13 17:59:42'),
+	(39, 11, 2, './public/submissions/answer_bab1_percobaan2.py', NULL, 1, '## BAB 1 | Percobaan 2\n\n1. Test Memuat Data  - <PASSED>\n2. Test Fungsi sample_rows() - <PASSED>', '2024-08-13 15:41:48', '2024-08-13 18:00:07'),
+	(40, 11, 4, './public/submissions/answer_bab2_percobaan3.py', NULL, 1, '## BAB 2 | Percobaan 3\n\n1. Test Memuat Data - <PASSED>\n3. Test Mengisi Nilai yang Hilang  - <PASSED>', '2024-08-13 15:46:01', '2024-08-13 18:09:37'),
+	(41, 11, 5, './public/submissions/answer_bab3_percobaan1.py', NULL, 1, '## BAB 3 | Percobaan 1\n\n1. Test Dimensi Array- - <PASSED>\n2. Test Pemotongan Array- - <PASSED>\n3. Test Tipe Hasil Pemotongan Array- - <PASSED>', '2024-08-13 15:49:45', '2024-08-13 17:35:57'),
+	(42, 11, 6, './public/submissions/answer_bab3_percobaan2.py', NULL, 2, '## BAB 3 | Percobaan 2\n\n1. Test Memuat Data - <PASSED>\n2. Test Fungsi head_rows() - <PASSED>\n3. Test Membuat Kolom Revenue  - <PASSED>\n4. Test Nilai Variabel total_pendapatan - <PASSED>', '2024-08-13 15:50:38', '2024-08-13 17:45:51'),
+	(43, 11, 7, './public/submissions/answer_bab3_percobaan3.py', NULL, 1, '## BAB 3 | Percobaan 3\n\n1. Test Memuat Data - <PASSED>\n2. Test Critic_Score Conversion - <PASSED>\n2. Test Create Variable top_10_movies - <PASSED>', '2024-08-13 16:13:15', '2024-08-13 17:47:42'),
+	(44, 11, 8, './public/submissions/answer_bab3_percobaan4.py', NULL, 1, '## BAB 4 | Percobaan 4\n\n1. Test Memuat Data - <PASSED>\n2. TestShow First Five Rows - <PASSED>\n3. Test calculates descriptive statistics for Customer Age - <PASSED>\n4. Test quartiles\'s value | Age - <PASSED>\n5. Test calculates descriptive statistics for Total Spent - <PASSED>\n6. Test quartiles\'s value | Total Spent (USD) - <PASSED>\n7. calculates correlation coefficient - <PASSED>', '2024-08-13 16:54:49', '2024-08-13 16:55:15'),
+	(45, 11, 9, './public/submissions/answer_bab3_percobaan5.py', NULL, 1, '## BAB 3 | Percobaan 5\n\n1. Test Memuat Data - <PASSED>\n2. Test Calculates Mean - <PASSED>\n3. Test Calculates Median - <PASSED>\n4. Test Calculates Mode - <PASSED>', '2024-08-13 16:56:37', '2024-08-13 16:56:40'),
+	(46, 11, 10, './public/submissions/answer_bab4_percobaan1.py', NULL, 2, '## BAB 4 | Percobaan 1\n\n1. Test Memuat Data - <PASSED>\nGet Population Column - <PASSED>\nGet Age Group Column - <PASSED>\nCheck Pie Chart - <PASSED>', '2024-08-13 16:59:52', '2024-08-13 17:13:47'),
+	(47, 10, 1, './public/submissions/answer_bab1_percobaan1.py', NULL, 1, '## BAB 1 | Percobaan 1\n\n1. Test Memuat Data - <PASSED>', '2024-08-19 20:09:42', '2024-08-19 20:09:51'),
+	(48, 10, 2, './public/submissions/answer_bab1_percobaan2.py', NULL, 1, '## BAB 1 | Percobaan 2\n\n1. Test Memuat Data  - <PASSED>\n2. Test Fungsi sample_rows() - <PASSED>', '2024-08-19 20:10:42', '2024-08-19 20:10:43'),
+	(49, 10, 4, './public/submissions/answer_bab2_percobaan3.py', NULL, 1, '## BAB 2 | Percobaan 3\n\n1. Test Memuat Data - <PASSED>\n3. Test Mengisi Nilai yang Hilang  - <PASSED>', '2024-08-19 20:18:37', '2024-08-19 20:18:49'),
+	(50, 10, 5, './public/submissions/answer_bab3_percobaan1.py', NULL, 1, '## BAB 3 | Percobaan 1\n\n1. Test Dimensi Array- - <PASSED>\n2. Test Pemotongan Array- - <PASSED>\n3. Test Tipe Hasil Pemotongan Array- - <PASSED>', '2024-08-19 20:19:28', '2024-08-19 20:19:28'),
+	(51, 10, 6, './public/submissions/answer_bab3_percobaan2.py', NULL, 1, '## BAB 3 | Percobaan 2\n\n1. Test Memuat Data - <PASSED>\n2. Test Fungsi head_rows() - <PASSED>\n3. Test Membuat Kolom Revenue  - <PASSED>\n   Kesalahan: ====> Error: fungsi total_pendapatan. Cek nama dan atribut fungsi. \'numpy.float64\' object is not callable\n4. Test Nilai Variabel total_pendapatan - <FAILED>', '2024-08-19 20:20:21', '2024-08-19 20:20:29'),
+	(52, 10, 7, './public/submissions/answer_bab3_percobaan3.py', NULL, 2, '## BAB 3 | Percobaan 3\n\n1. Test Memuat Data - <PASSED>\n2. Test Critic_Score Conversion - <PASSED>\n2. Test Create Variable top_10_movies - <PASSED>', '2024-08-19 20:21:29', '2024-08-19 20:22:12'),
+	(53, 10, 8, './public/submissions/answer_bab3_percobaan4.py', NULL, 2, '## BAB 3 | Percobaan 4\n\n1. Test Memuat Data - <PASSED>\n2. TestShow First Five Rows - <PASSED>\n3. Test calculates descriptive statistics for Customer Age - <PASSED>\n4. Test quartiles\'s value | Age - <PASSED>\n5. Test calculates descriptive statistics for Total Spent - <PASSED>\n6. Test quartiles\'s value | Total Spent (USD) - <PASSED>\n7. calculates correlation coefficient - <PASSED>', '2024-08-19 20:22:52', '2024-08-19 20:23:59'),
+	(54, 10, 9, './public/submissions/answer_bab3_percobaan5.py', NULL, 1, '## BAB 3 | Percobaan 5\n\n1. Test Memuat Data - <PASSED>\n2. Test Calculates Mean - <PASSED>\n3. Test Calculates Median - <PASSED>\n4. Test Calculates Mode - <PASSED>', '2024-08-19 20:24:17', '2024-08-19 20:24:22'),
+	(55, 10, 10, './public/submissions/answer_bab4_percobaan1.py', NULL, 1, '## BAB 4 | Percobaan 1\n\n1. Test Memuat Data - <PASSED>\nGet Population Column - <PASSED>\nGet Age Group Column - <PASSED>\nCheck Pie Chart - <PASSED>', '2024-08-19 20:24:56', '2024-08-19 20:25:14'),
+	(56, 12, 1, './public/submissions/answer_bab1_percobaan1.py', NULL, 1, '## BAB 1 | Percobaan 1\n\n1. Test Memuat Data - <PASSED>', '2024-08-20 05:56:51', '2024-08-20 05:57:00'),
+	(57, 12, 2, './public/submissions/answer_bab1_percobaan2.py', NULL, 1, '## BAB 1 | Percobaan 2\n\n1. Test Memuat Data  - <PASSED>\n2. Test Fungsi sample_rows() - <PASSED>', '2024-08-20 06:01:23', '2024-08-20 06:01:27'),
+	(58, 12, 4, './public/submissions/answer_bab2_percobaan3.py', NULL, 1, '## BAB 2 | Percobaan 3\n\n1. Test Memuat Data - <PASSED>\n3. Test Mengisi Nilai yang Hilang  - <PASSED>', '2024-08-20 06:02:30', '2024-08-20 06:02:45'),
+	(59, 12, 5, './public/submissions/answer_bab3_percobaan1.py', NULL, 1, '## BAB 3 | Percobaan 1\n\n1. Test Dimensi Array- - <PASSED>\n2. Test Pemotongan Array- - <PASSED>\n3. Test Tipe Hasil Pemotongan Array- - <PASSED>', '2024-08-20 06:03:33', '2024-08-20 06:03:34'),
+	(60, 12, 6, './public/submissions/answer_bab3_percobaan2.py', NULL, 2, '## BAB 3 | Percobaan 2\n\n1. Test Memuat Data - <PASSED>\n2. Test Fungsi head_rows() - <PASSED>\n3. Test Membuat Kolom Revenue  - <PASSED>\n4. Test Nilai Variabel total_pendapatan - <PASSED>', '2024-08-20 06:03:49', '2024-08-20 06:05:01'),
+	(61, 12, 7, './public/submissions/answer_bab3_percobaan3.py', NULL, 1, '## BAB 3 | Percobaan 3\n\n1. Test Memuat Data - <PASSED>\n2. Test Critic_Score Conversion - <PASSED>\n2. Test Create Variable top_10_movies - <PASSED>', '2024-08-20 06:05:34', '2024-08-20 06:05:41'),
+	(62, 12, 8, './public/submissions/answer_bab3_percobaan4.py', NULL, 2, '## BAB 3 | Percobaan 4\n\n1. Test Memuat Data - <PASSED>\n2. TestShow First Five Rows - <PASSED>\n3. Test calculates descriptive statistics for Customer Age - <PASSED>\n4. Test quartiles\'s value | Age - <PASSED>\n5. Test calculates descriptive statistics for Total Spent - <PASSED>\n6. Test quartiles\'s value | Total Spent (USD) - <PASSED>\n7. calculates correlation coefficient - <PASSED>', '2024-08-20 06:06:30', '2024-08-20 06:07:37'),
+	(63, 12, 9, './public/submissions/answer_bab3_percobaan5.py', NULL, 1, '## BAB 3 | Percobaan 5\n\n1. Test Memuat Data - <PASSED>\n2. Test Calculates Mean - <PASSED>\n3. Test Calculates Median - <PASSED>\n4. Test Calculates Mode - <PASSED>', '2024-08-20 06:07:59', '2024-08-20 06:08:09'),
+	(64, 12, 10, './public/submissions/answer_bab4_percobaan1.py', NULL, 1, '## BAB 4 | Percobaan 1\n\n1. Test Memuat Data - <PASSED>\nGet Population Column - <PASSED>\nGet Age Group Column - <PASSED>\nCheck Pie Chart - <PASSED>', '2024-08-20 06:08:47', '2024-08-20 06:09:06'),
+	(65, 7, 1, './public/submissions/answer_bab1_percobaan1.py', NULL, 1, '## BAB 1 | Percobaan 1\n\n1. Test Memuat Data - <PASSED>', '2024-08-20 06:12:51', '2024-08-20 06:12:55'),
+	(66, 7, 2, './public/submissions/answer_bab1_percobaan2.py', NULL, 1, '## BAB 1 | Percobaan 2\n\n1. Test Memuat Data  - <PASSED>\n2. Test Fungsi sample_rows() - <PASSED>', '2024-08-20 06:16:48', '2024-08-20 06:16:50'),
+	(67, 7, 4, './public/submissions/answer_bab2_percobaan3.py', NULL, 1, '## BAB 2 | Percobaan 3\n\n1. Test Memuat Data - <PASSED>\n3. Test Mengisi Nilai yang Hilang  - <PASSED>', '2024-08-20 06:17:31', '2024-08-20 06:17:43'),
+	(68, 7, 5, './public/submissions/answer_bab3_percobaan1.py', NULL, 1, '## BAB 3 | Percobaan 1\n\n1. Test Dimensi Array- - <PASSED>\n2. Test Pemotongan Array- - <PASSED>\n3. Test Tipe Hasil Pemotongan Array- - <PASSED>', '2024-08-20 06:25:50', '2024-08-20 06:25:51'),
+	(69, 7, 6, './public/submissions/answer_bab3_percobaan2.py', NULL, 1, '## BAB 3 | Percobaan 2\n\n1. Test Memuat Data - <PASSED>\n2. Test Fungsi head_rows() - <PASSED>\n3. Test Membuat Kolom Revenue  - <PASSED>\n4. Test Nilai Variabel total_pendapatan - <PASSED>', '2024-08-20 06:26:11', '2024-08-20 06:26:22'),
+	(70, 7, 7, './public/submissions/answer_bab3_percobaan3.py', NULL, 1, '## BAB 3 | Percobaan 3\n\n1. Test Memuat Data - <PASSED>\n2. Test Critic_Score Conversion - <PASSED>\n2. Test Create Variable top_10_movies - <PASSED>', '2024-08-20 06:26:47', '2024-08-20 06:26:54'),
+	(71, 7, 8, './public/submissions/answer_bab3_percobaan4.py', NULL, 1, '## BAB 3 | Percobaan 4\n\n1. Test Memuat Data - <PASSED>\n2. TestShow First Five Rows - <PASSED>\n3. Test calculates descriptive statistics for Customer Age - <PASSED>\n4. Test quartiles\'s value | Age - <PASSED>\n5. Test calculates descriptive statistics for Total Spent - <PASSED>\n6. Test quartiles\'s value | Total Spent (USD) - <PASSED>\n7. calculates correlation coefficient - <PASSED>', '2024-08-20 06:27:20', '2024-08-20 06:27:44'),
+	(72, 7, 9, './public/submissions/answer_bab3_percobaan5.py', NULL, 1, '## BAB 3 | Percobaan 5\n\n1. Test Memuat Data - <PASSED>\n2. Test Calculates Mean - <PASSED>\n3. Test Calculates Median - <PASSED>\n4. Test Calculates Mode - <PASSED>', '2024-08-20 06:29:39', '2024-08-20 06:29:47'),
+	(73, 7, 10, './public/submissions/answer_bab4_percobaan1.py', NULL, 1, '## BAB 4 | Percobaan 1\n\n1. Test Memuat Data - <PASSED>\nGet Population Column - <PASSED>\nGet Age Group Column - <PASSED>\nCheck Pie Chart - <PASSED>', '2024-08-20 06:31:31', '2024-08-20 06:31:49'),
+	(74, 8, 1, './public/submissions/answer_bab1_percobaan1.py', NULL, 1, '## BAB 1 | Percobaan 1\n\n1. Test Memuat Data - <PASSED>', '2024-08-20 06:34:56', '2024-08-20 06:35:00'),
+	(75, 8, 2, './public/submissions/answer_bab1_percobaan2.py', NULL, 1, '## BAB 1 | Percobaan 2\n\n1. Test Memuat Data  - <PASSED>\n2. Test Fungsi sample_rows() - <PASSED>', '2024-08-20 06:36:22', '2024-08-20 06:36:26'),
+	(76, 8, 4, './public/submissions/answer_bab2_percobaan3.py', NULL, 1, '## BAB 2 | Percobaan 3\n\n1. Test Memuat Data - <PASSED>\n3. Test Mengisi Nilai yang Hilang  - <PASSED>', '2024-08-20 06:37:11', '2024-08-20 06:37:25'),
+	(77, 8, 5, './public/submissions/answer_bab3_percobaan1.py', NULL, 1, '## BAB 3 | Percobaan 1\n\n1. Test Dimensi Array- - <PASSED>\n2. Test Pemotongan Array- - <PASSED>\n3. Test Tipe Hasil Pemotongan Array- - <PASSED>', '2024-08-20 06:38:25', '2024-08-20 06:38:26'),
+	(78, 8, 6, './public/submissions/answer_bab3_percobaan2.py', NULL, 1, '## BAB 3 | Percobaan 2\n\n1. Test Memuat Data - <PASSED>\n2. Test Fungsi head_rows() - <PASSED>\n3. Test Membuat Kolom Revenue  - <PASSED>\n4. Test Nilai Variabel total_pendapatan - <PASSED>', '2024-08-20 06:38:51', '2024-08-20 06:39:01'),
+	(79, 8, 7, './public/submissions/answer_bab3_percobaan3.py', NULL, 1, '## BAB 3 | Percobaan 3\n\n1. Test Memuat Data - <PASSED>\n2. Test Critic_Score Conversion - <PASSED>\n2. Test Create Variable top_10_movies - <PASSED>', '2024-08-20 06:39:27', '2024-08-20 06:39:36'),
+	(80, 8, 8, './public/submissions/answer_bab3_percobaan4.py', NULL, 1, '## BAB 3 | Percobaan 4\n\n1. Test Memuat Data - <PASSED>\n2. TestShow First Five Rows - <PASSED>\n3. Test calculates descriptive statistics for Customer Age - <PASSED>\n4. Test quartiles\'s value | Age - <PASSED>\n5. Test calculates descriptive statistics for Total Spent - <PASSED>\n6. Test quartiles\'s value | Total Spent (USD) - <PASSED>\n7. calculates correlation coefficient - <PASSED>', '2024-08-20 06:40:42', '2024-08-20 06:41:09'),
+	(81, 8, 9, './public/submissions/answer_bab3_percobaan5.py', NULL, 1, '## BAB 3 | Percobaan 5\n\n1. Test Memuat Data - <PASSED>\n2. Test Calculates Mean - <PASSED>\n3. Test Calculates Median - <PASSED>\n4. Test Calculates Mode - <PASSED>', '2024-08-20 06:41:35', '2024-08-20 06:41:43'),
+	(82, 8, 10, './public/submissions/answer_bab4_percobaan1.py', NULL, 1, '## BAB 4 | Percobaan 1\n\n1. Test Memuat Data - <PASSED>\nGet Population Column - <PASSED>\nGet Age Group Column - <PASSED>\nCheck Pie Chart - <PASSED>', '2024-08-20 06:42:50', '2024-08-20 06:43:03'),
+	(83, 9, 1, './public/submissions/answer_bab1_percobaan1.py', NULL, 1, '## BAB 1 | Percobaan 1\n\n1. Test Memuat Data - <PASSED>', '2024-08-20 06:44:20', '2024-08-20 06:44:24'),
+	(84, 9, 2, './public/submissions/answer_bab1_percobaan2.py', NULL, 1, '## BAB 1 | Percobaan 2\n\n1. Test Memuat Data  - <PASSED>\n2. Test Fungsi sample_rows() - <PASSED>', '2024-08-20 06:45:05', '2024-08-20 06:45:09'),
+	(85, 9, 4, './public/submissions/answer_bab2_percobaan3.py', NULL, 1, '## BAB 2 | Percobaan 3\n\n1. Test Memuat Data - <PASSED>\n3. Test Mengisi Nilai yang Hilang  - <PASSED>', '2024-08-20 06:45:54', '2024-08-20 06:46:08'),
+	(86, 9, 5, './public/submissions/answer_bab3_percobaan1.py', NULL, 1, '## BAB 3 | Percobaan 1\n\n1. Test Dimensi Array- - <PASSED>\n2. Test Pemotongan Array- - <PASSED>\n3. Test Tipe Hasil Pemotongan Array- - <PASSED>', '2024-08-20 06:47:16', '2024-08-20 06:47:17'),
+	(87, 9, 6, './public/submissions/answer_bab3_percobaan2.py', NULL, 1, '## BAB 3 | Percobaan 2\n\n1. Test Memuat Data - <PASSED>\n2. Test Fungsi head_rows() - <PASSED>\n3. Test Membuat Kolom Revenue  - <PASSED>\n4. Test Nilai Variabel total_pendapatan - <PASSED>', '2024-08-20 06:47:41', '2024-08-20 06:47:51'),
+	(88, 9, 7, './public/submissions/answer_bab3_percobaan3.py', NULL, 1, '## BAB 3 | Percobaan 3\n\n1. Test Memuat Data - <PASSED>\n2. Test Critic_Score Conversion - <PASSED>\n2. Test Create Variable top_10_movies - <PASSED>', '2024-08-20 06:48:55', '2024-08-20 06:49:02'),
+	(89, 9, 8, './public/submissions/answer_bab3_percobaan4.py', NULL, 1, '## BAB 3 | Percobaan 4\n\n1. Test Memuat Data - <PASSED>\n2. TestShow First Five Rows - <PASSED>\n3. Test calculates descriptive statistics for Customer Age - <PASSED>\n4. Test quartiles\'s value | Age - <PASSED>\n5. Test calculates descriptive statistics for Total Spent - <PASSED>\n6. Test quartiles\'s value | Total Spent (USD) - <PASSED>\n7. calculates correlation coefficient - <PASSED>', '2024-08-20 06:49:30', '2024-08-20 06:49:57'),
+	(90, 9, 9, './public/submissions/answer_bab3_percobaan5.py', NULL, 2, '## BAB 3 | Percobaan 5\n\n1. Test Memuat Data - <PASSED>\n2. Test Calculates Mean - <PASSED>\n3. Test Calculates Median - <PASSED>\n4. Test Calculates Mode - <PASSED>', '2024-08-20 06:52:02', '2024-08-20 06:52:29'),
+	(91, 9, 10, './public/submissions/answer_bab4_percobaan1.py', NULL, 1, '## BAB 4 | Percobaan 1\n\n1. Test Memuat Data - <PASSED>\nGet Population Column - <PASSED>\nGet Age Group Column - <PASSED>\nCheck Pie Chart - <PASSED>', '2024-08-20 06:53:30', '2024-08-20 06:53:47'),
+	(92, 13, 1, './public/submissions/answer_bab1_percobaan1.py', NULL, 1, '## BAB 1 | Percobaan 1\n\n1. Test Memuat Data - <PASSED>', '2024-08-20 07:00:02', '2024-08-20 07:00:07'),
+	(93, 13, 2, './public/submissions/answer_bab1_percobaan2.py', NULL, 1, '## BAB 1 | Percobaan 2\n\n1. Test Memuat Data  - <PASSED>\n2. Test Fungsi sample_rows() - <PASSED>', '2024-08-20 07:00:45', '2024-08-20 07:00:46'),
+	(94, 13, 4, './public/submissions/answer_bab2_percobaan3.py', NULL, 1, '## BAB 2 | Percobaan 3\n\n1. Test Memuat Data - <PASSED>\n3. Test Mengisi Nilai yang Hilang  - <PASSED>', '2024-08-20 07:01:17', '2024-08-20 07:01:30'),
+	(95, 13, 5, './public/submissions/answer_bab3_percobaan1.py', NULL, 1, '## BAB 3 | Percobaan 1\n\n1. Test Dimensi Array- - <PASSED>\n2. Test Pemotongan Array- - <PASSED>\n3. Test Tipe Hasil Pemotongan Array- - <PASSED>', '2024-08-20 07:02:04', '2024-08-20 07:02:05'),
+	(96, 13, 6, './public/submissions/answer_bab3_percobaan2.py', NULL, 2, '## BAB 3 | Percobaan 2\n\n1. Test Memuat Data - <PASSED>\n2. Test Fungsi head_rows() - <PASSED>\n3. Test Membuat Kolom Revenue  - <PASSED>\n4. Test Nilai Variabel total_pendapatan - <PASSED>', '2024-08-20 07:02:36', '2024-08-20 07:03:35'),
+	(97, 13, 7, './public/submissions/answer_bab3_percobaan3.py', NULL, 2, '## BAB 3 | Percobaan 3\n\n1. Test Memuat Data - <PASSED>\n2. Test Critic_Score Conversion - <PASSED>\n2. Test Create Variable top_10_movies - <PASSED>', '2024-08-20 07:03:54', '2024-08-20 07:05:00'),
+	(98, 13, 8, './public/submissions/answer_bab3_percobaan4.py', NULL, 2, '## BAB 3 | Percobaan 4\n\n1. Test Memuat Data - <PASSED>\n2. TestShow First Five Rows - <PASSED>\n3. Test calculates descriptive statistics for Customer Age - <PASSED>\n4. Test quartiles\'s value | Age - <PASSED>\n5. Test calculates descriptive statistics for Total Spent - <PASSED>\n6. Test quartiles\'s value | Total Spent (USD) - <PASSED>\n7. calculates correlation coefficient - <PASSED>', '2024-08-20 07:05:32', '2024-08-20 07:07:07'),
+	(99, 13, 9, './public/submissions/answer_bab3_percobaan5.py', NULL, 1, '## BAB 3 | Percobaan 5\n\n1. Test Memuat Data - <PASSED>\n2. Test Calculates Mean - <PASSED>\n3. Test Calculates Median - <PASSED>\n4. Test Calculates Mode - <PASSED>', '2024-08-20 07:07:35', '2024-08-20 07:07:43'),
+	(100, 13, 10, './public/submissions/answer_bab4_percobaan1.py', NULL, 2, '## BAB 4 | Percobaan 1\n\n1. Test Memuat Data - <PASSED>\nGet Population Column - <PASSED>\nGet Age Group Column - <PASSED>\nCheck Pie Chart - <PASSED>', '2024-08-20 07:08:09', '2024-08-20 07:09:10'),
+	(101, 14, 1, './public/submissions/answer_bab1_percobaan1.py', NULL, 1, '## BAB 1 | Percobaan 1\n\n1. Test Memuat Data - <PASSED>', '2024-08-20 07:30:04', '2024-08-20 07:30:07'),
+	(102, 14, 2, './public/submissions/answer_bab1_percobaan2.py', NULL, 1, '## BAB 1 | Percobaan 2\n\n1. Test Memuat Data  - <PASSED>\n2. Test Fungsi sample_rows() - <PASSED>', '2024-08-20 07:31:10', '2024-08-20 07:31:15'),
+	(103, 14, 4, './public/submissions/answer_bab2_percobaan3.py', NULL, 1, '## BAB 2 | Percobaan 3\n\n1. Test Memuat Data - <PASSED>\n3. Test Mengisi Nilai yang Hilang  - <PASSED>', '2024-08-20 07:32:12', '2024-08-20 07:32:20'),
+	(104, 14, 5, './public/submissions/answer_bab3_percobaan1.py', NULL, 1, '## BAB 3 | Percobaan 1\n\n1. Test Dimensi Array- - <PASSED>\n2. Test Pemotongan Array- - <PASSED>\n3. Test Tipe Hasil Pemotongan Array- - <PASSED>', '2024-08-20 07:33:17', '2024-08-20 07:33:18'),
+	(105, 14, 6, './public/submissions/answer_bab3_percobaan2.py', NULL, 2, '## BAB 3 | Percobaan 2\n\n1. Test Memuat Data - <PASSED>\n2. Test Fungsi head_rows() - <PASSED>\n3. Test Membuat Kolom Revenue  - <PASSED>\n4. Test Nilai Variabel total_pendapatan - <PASSED>', '2024-08-20 07:33:38', '2024-08-20 07:34:16'),
+	(106, 14, 7, './public/submissions/answer_bab3_percobaan3.py', NULL, 2, '## BAB 3 | Percobaan 3\n\n1. Test Memuat Data - <PASSED>\n2. Test Critic_Score Conversion - <PASSED>\n2. Test Create Variable top_10_movies - <PASSED>', '2024-08-20 07:34:48', '2024-08-20 07:35:17'),
+	(107, 14, 8, './public/submissions/answer_bab3_percobaan4.py', NULL, 1, '## BAB 3 | Percobaan 4\n\n1. Test Memuat Data - <PASSED>\n2. TestShow First Five Rows - <PASSED>\n3. Test calculates descriptive statistics for Customer Age - <PASSED>\n4. Test quartiles\'s value | Age - <PASSED>\n5. Test calculates descriptive statistics for Total Spent - <PASSED>\n6. Test quartiles\'s value | Total Spent (USD) - <PASSED>\n7. calculates correlation coefficient - <PASSED>', '2024-08-20 07:35:33', '2024-08-20 07:35:52'),
+	(108, 14, 9, './public/submissions/answer_bab3_percobaan5.py', NULL, 1, '## BAB 3 | Percobaan 5\n\n1. Test Memuat Data - <PASSED>\n2. Test Calculates Mean - <PASSED>\n3. Test Calculates Median - <PASSED>\n4. Test Calculates Mode - <PASSED>', '2024-08-20 07:36:12', '2024-08-20 07:36:19'),
+	(109, 14, 10, './public/submissions/answer_bab4_percobaan1.py', NULL, 2, '## BAB 4 | Percobaan 1\n\n1. Test Memuat Data - <PASSED>\nGet Population Column - <PASSED>\nGet Age Group Column - <PASSED>\nCheck Pie Chart - <PASSED>', '2024-08-20 07:36:54', '2024-08-20 07:37:50'),
+	(110, 15, 1, './public/submissions/answer_bab1_percobaan1.py', NULL, 1, '## BAB 1 | Percobaan 1\n\n1. Test Memuat Data - <PASSED>', '2024-08-20 07:39:56', '2024-08-20 07:39:59'),
+	(111, 15, 2, './public/submissions/answer_bab1_percobaan2.py', NULL, 1, '## BAB 1 | Percobaan 2\n\n1. Test Memuat Data  - <PASSED>\n2. Test Fungsi sample_rows() - <PASSED>', '2024-08-20 07:40:14', '2024-08-20 07:41:19'),
+	(112, 15, 4, './public/submissions/answer_bab2_percobaan3.py', NULL, 1, '## BAB 2 | Percobaan 3\n\n1. Test Memuat Data - <PASSED>\n3. Test Mengisi Nilai yang Hilang  - <PASSED>', '2024-08-20 07:41:46', '2024-08-20 07:41:53'),
+	(113, 15, 5, './public/submissions/answer_bab3_percobaan1.py', NULL, 2, '## BAB 3 | Percobaan 1\n\n1. Test Dimensi Array- - <PASSED>\n2. Test Pemotongan Array- - <PASSED>\n3. Test Tipe Hasil Pemotongan Array- - <PASSED>', '2024-08-20 07:42:34', '2024-08-20 07:42:59'),
+	(114, 15, 6, './public/submissions/answer_bab3_percobaan2.py', NULL, 2, '## BAB 3 | Percobaan 2\n\n1. Test Memuat Data - <PASSED>\n2. Test Fungsi head_rows() - <PASSED>\n3. Test Membuat Kolom Revenue  - <PASSED>\n4. Test Nilai Variabel total_pendapatan - <PASSED>', '2024-08-20 07:43:16', '2024-08-20 07:43:52'),
+	(115, 15, 7, './public/submissions/answer_bab3_percobaan3.py', NULL, 2, '## BAB 3 | Percobaan 3\n\n1. Test Memuat Data - <PASSED>\n2. Test Critic_Score Conversion - <PASSED>\n2. Test Create Variable top_10_movies - <PASSED>', '2024-08-20 07:44:05', '2024-08-20 07:44:37'),
+	(116, 15, 8, './public/submissions/answer_bab3_percobaan4.py', NULL, 3, '## BAB 3 | Percobaan 4\n\n1. Test Memuat Data - <PASSED>\n2. TestShow First Five Rows - <PASSED>\n3. Test calculates descriptive statistics for Customer Age - <PASSED>\n4. Test quartiles\'s value | Age - <PASSED>\n5. Test calculates descriptive statistics for Total Spent - <PASSED>\n6. Test quartiles\'s value | Total Spent (USD) - <PASSED>\n7. calculates correlation coefficient - <PASSED>', '2024-08-20 07:45:01', '2024-08-20 07:46:38'),
+	(117, 15, 9, './public/submissions/answer_bab3_percobaan5.py', NULL, 1, '## BAB 3 | Percobaan 5\n\n1. Test Memuat Data - <PASSED>\n2. Test Calculates Mean - <PASSED>\n3. Test Calculates Median - <PASSED>\n4. Test Calculates Mode - <PASSED>', '2024-08-20 07:46:48', '2024-08-20 07:46:55'),
+	(118, 15, 10, './public/submissions/answer_bab4_percobaan1.py', NULL, 2, '## BAB 4 | Percobaan 1\n\n1. Test Memuat Data - <PASSED>\nGet Population Column - <PASSED>\nGet Age Group Column - <PASSED>\nCheck Pie Chart - <PASSED>', '2024-08-20 07:48:00', '2024-08-20 07:48:45'),
+	(119, 16, 1, './public/submissions/answer_bab1_percobaan1.py', NULL, 1, '## BAB 1 | Percobaan 1\n\n1. Test Memuat Data - <PASSED>', '2024-08-20 07:50:36', '2024-08-20 07:51:01'),
+	(120, 16, 2, './public/submissions/answer_bab1_percobaan2.py', NULL, 1, '## BAB 1 | Percobaan 2\n\n1. Test Memuat Data  - <PASSED>\n2. Test Fungsi sample_rows() - <PASSED>', '2024-08-20 07:51:22', '2024-08-20 07:52:37'),
+	(121, 16, 4, './public/submissions/answer_bab2_percobaan3.py', NULL, 1, '## BAB 2 | Percobaan 3\n\n1. Test Memuat Data - <PASSED>\n3. Test Mengisi Nilai yang Hilang  - <PASSED>', '2024-08-20 07:53:27', '2024-08-20 07:53:35'),
+	(122, 16, 5, './public/submissions/answer_bab3_percobaan1.py', NULL, 1, '## BAB 3 | Percobaan 1\n\n1. Test Dimensi Array- - <PASSED>\n2. Test Pemotongan Array- - <PASSED>\n3. Test Tipe Hasil Pemotongan Array- - <PASSED>', '2024-08-20 07:54:12', '2024-08-20 07:54:12'),
+	(123, 16, 6, './public/submissions/answer_bab3_percobaan2.py', NULL, 2, '## BAB 3 | Percobaan 2\n\n1. Test Memuat Data - <PASSED>\n2. Test Fungsi head_rows() - <PASSED>\n3. Test Membuat Kolom Revenue  - <PASSED>\n4. Test Nilai Variabel total_pendapatan - <PASSED>', '2024-08-20 07:54:29', '2024-08-20 07:55:02'),
+	(124, 16, 7, './public/submissions/answer_bab3_percobaan3.py', NULL, 1, '## BAB 3 | Percobaan 3\n\n1. Test Memuat Data - <PASSED>\n2. Test Critic_Score Conversion - <PASSED>\n2. Test Create Variable top_10_movies - <PASSED>', '2024-08-20 07:56:38', '2024-08-20 07:56:43'),
+	(125, 16, 8, './public/submissions/answer_bab3_percobaan4.py', NULL, 1, '## BAB 3 | Percobaan 4\n\n1. Test Memuat Data - <PASSED>\n2. TestShow First Five Rows - <PASSED>\n3. Test calculates descriptive statistics for Customer Age - <PASSED>\n4. Test quartiles\'s value | Age - <PASSED>\n5. Test calculates descriptive statistics for Total Spent - <PASSED>\n6. Test quartiles\'s value | Total Spent (USD) - <PASSED>\n7. calculates correlation coefficient - <PASSED>', '2024-08-20 07:57:06', '2024-08-20 07:57:24'),
+	(126, 16, 9, './public/submissions/answer_bab3_percobaan5.py', NULL, 1, '## BAB 3 | Percobaan 5\n\n1. Test Memuat Data - <PASSED>\n2. Test Calculates Mean - <PASSED>\n3. Test Calculates Median - <PASSED>\n4. Test Calculates Mode - <PASSED>', '2024-08-20 07:57:40', '2024-08-20 07:57:47'),
+	(127, 16, 10, './public/submissions/answer_bab4_percobaan1.py', NULL, 1, '## BAB 4 | Percobaan 1\n\n1. Test Memuat Data - <PASSED>\nGet Population Column - <PASSED>\nGet Age Group Column - <PASSED>\nCheck Pie Chart - <PASSED>', '2024-08-20 08:00:08', '2024-08-20 08:00:18'),
+	(128, 17, 1, './public/submissions/answer_bab1_percobaan1.py', NULL, 1, '## BAB 1 | Percobaan 1\n\n1. Test Memuat Data - <PASSED>', '2024-08-20 09:16:30', '2024-08-20 09:20:41'),
+	(129, 17, 2, './public/submissions/answer_bab1_percobaan2.py', NULL, 1, '## BAB 1 | Percobaan 2\n\n1. Test Memuat Data  - <PASSED>\n2. Test Fungsi sample_rows() - <PASSED>', '2024-08-20 09:19:46', '2024-08-20 09:19:51'),
+	(130, 17, 4, './public/submissions/answer_bab2_percobaan3.py', NULL, 1, '## BAB 2 | Percobaan 3\n\n1. Test Memuat Data - <PASSED>\n3. Test Mengisi Nilai yang Hilang  - <PASSED>', '2024-08-20 09:22:56', '2024-08-20 09:22:57'),
+	(131, 17, 5, './public/submissions/answer_bab3_percobaan1.py', NULL, 1, '## BAB 3 | Percobaan 1\n\n1. Test Dimensi Array- - <PASSED>\n2. Test Pemotongan Array- - <PASSED>\n3. Test Tipe Hasil Pemotongan Array- - <PASSED>', '2024-08-20 09:23:35', '2024-08-20 09:23:36'),
+	(132, 17, 6, './public/submissions/answer_bab3_percobaan2.py', NULL, 2, '## BAB 3 | Percobaan 2\n\n1. Test Memuat Data - <PASSED>\n2. Test Fungsi head_rows() - <PASSED>\n3. Test Membuat Kolom Revenue  - <PASSED>\n4. Test Nilai Variabel total_pendapatan - <PASSED>', '2024-08-20 09:24:18', '2024-08-20 09:25:00'),
+	(133, 17, 7, './public/submissions/answer_bab3_percobaan3.py', NULL, 1, '## BAB 3 | Percobaan 3\n\n1. Test Memuat Data - <PASSED>\n2. Test Critic_Score Conversion - <PASSED>\n2. Test Create Variable top_10_movies - <PASSED>', '2024-08-20 09:25:31', '2024-08-20 09:25:37'),
+	(134, 17, 8, './public/submissions/answer_bab3_percobaan4.py', NULL, 2, '## BAB 3 | Percobaan 4\n\n1. Test Memuat Data - <PASSED>\n2. TestShow First Five Rows - <PASSED>\n3. Test calculates descriptive statistics for Customer Age - <PASSED>\n4. Test quartiles\'s value | Age - <PASSED>\n5. Test calculates descriptive statistics for Total Spent - <PASSED>\n6. Test quartiles\'s value | Total Spent (USD) - <PASSED>\n7. calculates correlation coefficient - <PASSED>', '2024-08-20 09:26:23', '2024-08-20 09:27:33'),
+	(135, 17, 9, './public/submissions/answer_bab3_percobaan5.py', NULL, 1, '## BAB 3 | Percobaan 5\n\n1. Test Memuat Data - <PASSED>\n2. Test Calculates Mean - <PASSED>\n3. Test Calculates Median - <PASSED>\n4. Test Calculates Mode - <PASSED>', '2024-08-20 09:28:14', '2024-08-20 09:28:22'),
+	(136, 17, 10, './public/submissions/answer_bab4_percobaan1.py', NULL, 2, '## BAB 4 | Percobaan 1\n\n1. Test Memuat Data - <PASSED>\nGet Population Column - <PASSED>\nGet Age Group Column - <PASSED>\nCheck Pie Chart - <PASSED>', '2024-08-20 09:28:57', '2024-08-20 09:29:39'),
+	(137, 18, 1, './public/submissions/answer_bab1_percobaan1.py', NULL, 1, '## BAB 1 | Percobaan 1\n\n1. Test Memuat Data - <PASSED>', '2024-08-20 09:36:10', '2024-08-20 09:36:40'),
+	(138, 18, 2, './public/submissions/answer_bab1_percobaan2.py', NULL, 1, '## BAB 1 | Percobaan 2\n\n1. Test Memuat Data  - <PASSED>\n2. Test Fungsi sample_rows() - <PASSED>', '2024-08-20 09:37:04', '2024-08-20 09:37:26'),
+	(139, 18, 4, './public/submissions/answer_bab2_percobaan3.py', NULL, 1, '## BAB 2 | Percobaan 3\n\n1. Test Memuat Data - <PASSED>\n3. Test Mengisi Nilai yang Hilang  - <PASSED>', '2024-08-20 09:38:17', '2024-08-20 09:38:26'),
+	(140, 18, 5, './public/submissions/answer_bab3_percobaan1.py', NULL, 1, '## BAB 3 | Percobaan 1\n\n1. Test Dimensi Array- - <PASSED>\n2. Test Pemotongan Array- - <PASSED>\n3. Test Tipe Hasil Pemotongan Array- - <PASSED>', '2024-08-20 09:39:03', '2024-08-20 09:39:04'),
+	(141, 18, 6, './public/submissions/answer_bab3_percobaan2.py', NULL, 2, '## BAB 3 | Percobaan 2\n\n1. Test Memuat Data - <PASSED>\n2. Test Fungsi head_rows() - <PASSED>\n3. Test Membuat Kolom Revenue  - <PASSED>\n4. Test Nilai Variabel total_pendapatan - <PASSED>', '2024-08-20 09:39:26', '2024-08-20 09:40:15'),
+	(142, 18, 8, './public/submissions/answer_bab3_percobaan4.py', NULL, 1, '## BAB 3 | Percobaan 4\n\n1. Test Memuat Data - <PASSED>\n2. TestShow First Five Rows - <PASSED>\n3. Test calculates descriptive statistics for Customer Age - <PASSED>\n4. Test quartiles\'s value | Age - <PASSED>\n5. Test calculates descriptive statistics for Total Spent - <PASSED>\n6. Test quartiles\'s value | Total Spent (USD) - <PASSED>\n7. calculates correlation coefficient - <PASSED>', '2024-08-20 09:44:02', '2024-08-20 09:44:25'),
+	(143, 18, 9, './public/submissions/answer_bab3_percobaan5.py', NULL, 1, '## BAB 3 | Percobaan 5\n\n1. Test Memuat Data - <PASSED>\n2. Test Calculates Mean - <PASSED>\n3. Test Calculates Median - <PASSED>\n4. Test Calculates Mode - <PASSED>', '2024-08-20 09:45:20', '2024-08-20 09:45:28'),
+	(144, 18, 10, './public/submissions/answer_bab4_percobaan1.py', NULL, 1, '## BAB 4 | Percobaan 1\n\n1. Test Memuat Data - <PASSED>\nGet Population Column - <PASSED>\nGet Age Group Column - <PASSED>\nCheck Pie Chart - <PASSED>', '2024-08-20 09:47:23', '2024-08-20 09:47:40'),
+	(145, 19, 1, './public/submissions/answer_bab1_percobaan1.py', NULL, 1, '## BAB 1 | Percobaan 1\n\n1. Test Memuat Data - <PASSED>', '2024-08-20 09:49:11', '2024-08-20 09:49:15'),
+	(146, 19, 2, './public/submissions/answer_bab1_percobaan2.py', NULL, 3, '## BAB 1 | Percobaan 2\n\n1. Test Memuat Data  - <PASSED>\n2. Test Fungsi sample_rows() - <PASSED>', '2024-08-20 09:49:35', '2024-08-20 09:50:58'),
+	(147, 19, 4, './public/submissions/answer_bab2_percobaan3.py', NULL, 1, '## BAB 2 | Percobaan 3\n\n1. Test Memuat Data - <PASSED>\n3. Test Mengisi Nilai yang Hilang  - <PASSED>', '2024-08-20 09:52:00', '2024-08-20 09:52:09'),
+	(148, 19, 5, './public/submissions/answer_bab3_percobaan1.py', NULL, 1, '## BAB 3 | Percobaan 1\n\n1. Test Dimensi Array- - <PASSED>\n2. Test Pemotongan Array- - <PASSED>\n3. Test Tipe Hasil Pemotongan Array- - <PASSED>', '2024-08-20 09:52:38', '2024-08-20 09:52:39'),
+	(149, 19, 6, './public/submissions/answer_bab3_percobaan2.py', NULL, 2, '## BAB 3 | Percobaan 2\n\n1. Test Memuat Data - <PASSED>\n2. Test Fungsi head_rows() - <PASSED>\n3. Test Membuat Kolom Revenue  - <PASSED>\n4. Test Nilai Variabel total_pendapatan - <PASSED>', '2024-08-20 09:53:26', '2024-08-20 09:55:23'),
+	(150, 19, 7, './public/submissions/answer_bab3_percobaan3.py', NULL, 2, '## BAB 3 | Percobaan 3\n\n1. Test Memuat Data - <PASSED>\n2. Test Critic_Score Conversion - <PASSED>\n2. Test Create Variable top_10_movies - <PASSED>', '2024-08-20 09:56:55', '2024-08-20 09:58:21'),
+	(151, 19, 8, './public/submissions/answer_bab3_percobaan4.py', NULL, 2, '## BAB 3 | Percobaan 4\n\n1. Test Memuat Data - <PASSED>\n2. TestShow First Five Rows - <PASSED>\n3. Test calculates descriptive statistics for Customer Age - <PASSED>\n4. Test quartiles\'s value | Age - <PASSED>\n5. Test calculates descriptive statistics for Total Spent - <PASSED>\n6. Test quartiles\'s value | Total Spent (USD) - <PASSED>\n7. calculates correlation coefficient - <PASSED>', '2024-08-20 09:58:47', '2024-08-20 09:59:57'),
+	(152, 19, 9, './public/submissions/answer_bab3_percobaan5.py', NULL, 1, '## BAB 3 | Percobaan 5\n\n1. Test Memuat Data - <PASSED>\n2. Test Calculates Mean - <PASSED>\n3. Test Calculates Median - <PASSED>\n4. Test Calculates Mode - <PASSED>', '2024-08-20 10:00:33', '2024-08-20 10:00:42'),
+	(153, 19, 10, './public/submissions/answer_bab4_percobaan1.py', NULL, 3, '## BAB 4 | Percobaan 1\n\n1. Test Memuat Data - <PASSED>\nGet Population Column - <PASSED>\nGet Age Group Column - <PASSED>\nCheck Pie Chart - <PASSED>', '2024-08-20 10:05:42', '2024-08-20 10:07:48'),
+	(154, 20, 1, './public/submissions/answer_bab1_percobaan1.py', NULL, 1, '## BAB 1 | Percobaan 1\n\n1. Test Memuat Data - <PASSED>', '2024-08-20 10:10:43', '2024-08-20 10:10:46'),
+	(155, 20, 2, './public/submissions/answer_bab1_percobaan2.py', NULL, 1, '## BAB 1 | Percobaan 2\n\n1. Test Memuat Data  - <PASSED>\n2. Test Fungsi sample_rows() - <PASSED>', '2024-08-20 15:10:24', '2024-08-20 15:10:31'),
+	(156, 20, 4, './public/submissions/answer_bab2_percobaan3.py', NULL, 2, '## BAB 2 | Percobaan 3\n\n1. Test Memuat Data - <PASSED>\n3. Test Mengisi Nilai yang Hilang  - <PASSED>', '2024-08-20 15:10:52', '2024-08-20 15:11:50'),
+	(157, 20, 5, './public/submissions/answer_bab3_percobaan1.py', NULL, 1, '## BAB 3 | Percobaan 1\n\n1. Test Dimensi Array- - <PASSED>\n2. Test Pemotongan Array- - <PASSED>\n3. Test Tipe Hasil Pemotongan Array- - <PASSED>', '2024-08-20 15:13:31', '2024-08-20 15:13:31'),
+	(158, 20, 6, './public/submissions/answer_bab3_percobaan2.py', NULL, 2, '## BAB 3 | Percobaan 2\n\n1. Test Memuat Data - <PASSED>\n2. Test Fungsi head_rows() - <PASSED>\n3. Test Membuat Kolom Revenue  - <PASSED>\n4. Test Nilai Variabel total_pendapatan - <PASSED>', '2024-08-20 15:13:51', '2024-08-20 15:14:52'),
+	(159, 20, 7, './public/submissions/answer_bab3_percobaan3.py', NULL, 2, '## BAB 3 | Percobaan 3\n\n1. Test Memuat Data - <PASSED>\n2. Test Critic_Score Conversion - <PASSED>\n2. Test Create Variable top_10_movies - <PASSED>', '2024-08-20 15:15:27', '2024-08-20 15:16:11'),
+	(160, 20, 8, './public/submissions/answer_bab3_percobaan4.py', NULL, 1, '## BAB 3 | Percobaan 4\n\n1. Test Memuat Data - <PASSED>\n2. TestShow First Five Rows - <PASSED>\n3. Test calculates descriptive statistics for Customer Age - <PASSED>\n4. Test quartiles\'s value | Age - <PASSED>\n5. Test calculates descriptive statistics for Total Spent - <PASSED>\n6. Test quartiles\'s value | Total Spent (USD) - <PASSED>\n7. calculates correlation coefficient - <PASSED>', '2024-08-20 15:16:54', '2024-08-20 15:17:15'),
+	(161, 20, 9, './public/submissions/answer_bab3_percobaan5.py', NULL, 1, '## BAB 3 | Percobaan 5\n\n1. Test Memuat Data - <PASSED>\n2. Test Calculates Mean - <PASSED>\n3. Test Calculates Median - <PASSED>\n4. Test Calculates Mode - <PASSED>', '2024-08-20 15:17:36', '2024-08-20 15:17:42'),
+	(162, 20, 10, './public/submissions/answer_bab4_percobaan1.py', NULL, 1, '## BAB 4 | Percobaan 1\n\n1. Test Memuat Data - <PASSED>\nGet Population Column - <PASSED>\nGet Age Group Column - <PASSED>\nCheck Pie Chart - <PASSED>', '2024-08-20 15:18:33', '2024-08-20 15:23:54'),
+	(163, 21, 1, './public/submissions/answer_bab1_percobaan1.py', NULL, 1, '## BAB 1 | Percobaan 1\n\n1. Test Memuat Data - <PASSED>', '2024-08-20 15:29:10', '2024-08-20 15:29:13'),
+	(164, 21, 2, './public/submissions/answer_bab1_percobaan2.py', NULL, 1, '## BAB 1 | Percobaan 2\n\n1. Test Memuat Data  - <PASSED>\n2. Test Fungsi sample_rows() - <PASSED>', '2024-08-20 15:29:30', '2024-08-20 15:29:57'),
+	(165, 21, 4, './public/submissions/answer_bab2_percobaan3.py', NULL, 1, '## BAB 2 | Percobaan 3\n\n1. Test Memuat Data - <PASSED>\n3. Test Mengisi Nilai yang Hilang  - <PASSED>', '2024-08-20 15:30:54', '2024-08-20 15:31:05'),
+	(166, 21, 5, './public/submissions/answer_bab3_percobaan1.py', NULL, 2, '## BAB 3 | Percobaan 1\n\n1. Test Dimensi Array- - <PASSED>\n2. Test Pemotongan Array- - <PASSED>\n3. Test Tipe Hasil Pemotongan Array- - <PASSED>', '2024-08-20 15:34:46', '2024-08-20 15:35:03'),
+	(167, 21, 6, './public/submissions/answer_bab3_percobaan2.py', NULL, 2, '## BAB 3 | Percobaan 2\n\n1. Test Memuat Data - <PASSED>\n2. Test Fungsi head_rows() - <PASSED>\n3. Test Membuat Kolom Revenue  - <PASSED>\n4. Test Nilai Variabel total_pendapatan - <PASSED>', '2024-08-20 15:36:41', '2024-08-20 15:37:49'),
+	(168, 21, 7, './public/submissions/answer_bab3_percobaan3.py', NULL, 2, '## BAB 3 | Percobaan 3\n\n1. Test Memuat Data - <PASSED>\n2. Test Critic_Score Conversion - <PASSED>\n2. Test Create Variable top_10_movies - <PASSED>', '2024-08-20 15:38:16', '2024-08-20 15:38:39'),
+	(169, 21, 8, './public/submissions/answer_bab3_percobaan4.py', NULL, 2, '## BAB 3 | Percobaan 4\n\n1. Test Memuat Data - <PASSED>\n2. TestShow First Five Rows - <PASSED>\n3. Test calculates descriptive statistics for Customer Age - <PASSED>\n4. Test quartiles\'s value | Age - <PASSED>\n5. Test calculates descriptive statistics for Total Spent - <PASSED>\n6. Test quartiles\'s value | Total Spent (USD) - <PASSED>\n7. calculates correlation coefficient - <PASSED>', '2024-08-20 15:38:55', '2024-08-20 15:39:55'),
+	(170, 21, 9, './public/submissions/answer_bab3_percobaan5.py', NULL, 1, '## BAB 3 | Percobaan 5\n\n1. Test Memuat Data - <PASSED>\n2. Test Calculates Mean - <PASSED>\n3. Test Calculates Median - <PASSED>\n4. Test Calculates Mode - <PASSED>', '2024-08-20 15:40:40', '2024-08-20 15:40:46'),
+	(171, 21, 10, './public/submissions/answer_bab4_percobaan1.py', NULL, 2, '## BAB 4 | Percobaan 1\n\n1. Test Memuat Data - <PASSED>\nGet Population Column - <PASSED>\nGet Age Group Column - <PASSED>\nCheck Pie Chart - <PASSED>', '2024-08-20 15:41:15', '2024-08-20 15:41:43'),
+	(172, 22, 1, './public/submissions/answer_bab1_percobaan1.py', NULL, 1, '## BAB 1 | Percobaan 1\n\n1. Test Memuat Data - <PASSED>', '2024-08-20 15:45:42', '2024-08-20 15:45:45'),
+	(173, 22, 2, './public/submissions/answer_bab1_percobaan2.py', NULL, 1, '## BAB 1 | Percobaan 2\n\n1. Test Memuat Data  - <PASSED>\n2. Test Fungsi sample_rows() - <PASSED>', '2024-08-20 15:48:07', '2024-08-20 15:48:10'),
+	(174, 22, 4, './public/submissions/answer_bab2_percobaan3.py', NULL, 1, '## BAB 2 | Percobaan 3\n\n1. Test Memuat Data - <PASSED>\n3. Test Mengisi Nilai yang Hilang  - <PASSED>', '2024-08-20 15:49:14', '2024-08-20 15:49:21'),
+	(175, 22, 5, './public/submissions/answer_bab3_percobaan1.py', NULL, 1, '## BAB 3 | Percobaan 1\n\n1. Test Dimensi Array- - <PASSED>\n2. Test Pemotongan Array- - <PASSED>\n3. Test Tipe Hasil Pemotongan Array- - <PASSED>', '2024-08-20 15:51:52', '2024-08-20 15:51:52'),
+	(176, 22, 6, './public/submissions/answer_bab3_percobaan2.py', NULL, 2, '## BAB 3 | Percobaan 2\n\n1. Test Memuat Data - <PASSED>\n2. Test Fungsi head_rows() - <PASSED>\n3. Test Membuat Kolom Revenue  - <PASSED>\n4. Test Nilai Variabel total_pendapatan - <PASSED>', '2024-08-20 15:52:04', '2024-08-20 15:52:39'),
+	(177, 22, 7, './public/submissions/answer_bab3_percobaan3.py', NULL, 1, '## BAB 3 | Percobaan 3\n\n1. Test Memuat Data - <PASSED>\n2. Test Critic_Score Conversion - <PASSED>\n2. Test Create Variable top_10_movies - <PASSED>', '2024-08-20 15:52:53', '2024-08-20 15:52:59'),
+	(178, 22, 8, './public/submissions/answer_bab3_percobaan4.py', NULL, 1, '## BAB 3 | Percobaan 4\n\n1. Test Memuat Data - <PASSED>\n2. TestShow First Five Rows - <PASSED>\n3. Test calculates descriptive statistics for Customer Age - <PASSED>\n4. Test quartiles\'s value | Age - <PASSED>\n5. Test calculates descriptive statistics for Total Spent - <PASSED>\n6. Test quartiles\'s value | Total Spent (USD) - <PASSED>\n7. calculates correlation coefficient - <PASSED>', '2024-08-20 15:53:59', '2024-08-20 15:54:19'),
+	(179, 22, 9, './public/submissions/answer_bab3_percobaan5.py', NULL, 1, '## BAB 3 | Percobaan 5\n\n1. Test Memuat Data - <PASSED>\n2. Test Calculates Mean - <PASSED>\n3. Test Calculates Median - <PASSED>\n4. Test Calculates Mode - <PASSED>', '2024-08-20 15:55:13', '2024-08-20 15:55:19'),
+	(180, 22, 10, './public/submissions/answer_bab4_percobaan1.py', NULL, 2, '## BAB 4 | Percobaan 1\n\n1. Test Memuat Data - <PASSED>\nGet Population Column - <PASSED>\nGet Age Group Column - <PASSED>\nCheck Pie Chart - <PASSED>', '2024-08-20 15:56:05', '2024-08-20 15:56:44'),
+	(181, 23, 1, './public/submissions/answer_bab1_percobaan1.py', NULL, 1, '## BAB 1 | Percobaan 1\n\n1. Test Memuat Data - <PASSED>', '2024-08-20 15:59:16', '2024-08-20 15:59:58'),
+	(182, 23, 2, './public/submissions/answer_bab1_percobaan2.py', NULL, 1, '## BAB 1 | Percobaan 2\n\n1. Test Memuat Data  - <PASSED>\n2. Test Fungsi sample_rows() - <PASSED>', '2024-08-20 16:00:42', '2024-08-20 16:00:47'),
+	(183, 23, 4, './public/submissions/answer_bab2_percobaan3.py', NULL, 1, '## BAB 2 | Percobaan 3\n\n1. Test Memuat Data - <PASSED>\n3. Test Mengisi Nilai yang Hilang  - <PASSED>', '2024-08-20 16:01:52', '2024-08-20 16:01:59'),
+	(184, 23, 5, './public/submissions/answer_bab3_percobaan1.py', NULL, 1, '## BAB 3 | Percobaan 1\n\n1. Test Dimensi Array- - <PASSED>\n2. Test Pemotongan Array- - <PASSED>\n3. Test Tipe Hasil Pemotongan Array- - <PASSED>', '2024-08-20 16:05:56', '2024-08-20 16:05:56'),
+	(185, 23, 6, './public/submissions/answer_bab3_percobaan2.py', NULL, 2, '## BAB 3 | Percobaan 2\n\n1. Test Memuat Data - <PASSED>\n2. Test Fungsi head_rows() - <PASSED>\n3. Test Membuat Kolom Revenue  - <PASSED>\n4. Test Nilai Variabel total_pendapatan - <PASSED>', '2024-08-20 16:07:06', '2024-08-20 16:08:13'),
+	(186, 23, 7, './public/submissions/answer_bab3_percobaan3.py', NULL, 1, '## BAB 3 | Percobaan 3\n\n1. Test Memuat Data - <PASSED>\n2. Test Critic_Score Conversion - <PASSED>\n2. Test Create Variable top_10_movies - <PASSED>', '2024-08-20 16:10:47', '2024-08-20 16:10:53'),
+	(187, 23, 8, './public/submissions/answer_bab3_percobaan4.py', NULL, 1, '## BAB 3 | Percobaan 4\n\n1. Test Memuat Data - <PASSED>\n2. TestShow First Five Rows - <PASSED>\n3. Test calculates descriptive statistics for Customer Age - <PASSED>\n4. Test quartiles\'s value | Age - <PASSED>\n5. Test calculates descriptive statistics for Total Spent - <PASSED>\n6. Test quartiles\'s value | Total Spent (USD) - <PASSED>\n7. calculates correlation coefficient - <PASSED>', '2024-08-20 16:12:42', '2024-08-20 16:13:02'),
+	(188, 23, 9, './public/submissions/answer_bab3_percobaan5.py', NULL, 1, '## BAB 3 | Percobaan 5\n\n1. Test Memuat Data - <PASSED>\n2. Test Calculates Mean - <PASSED>\n3. Test Calculates Median - <PASSED>\n4. Test Calculates Mode - <PASSED>', '2024-08-20 16:14:02', '2024-08-20 16:14:08'),
+	(189, 23, 10, './public/submissions/answer_bab4_percobaan1.py', NULL, 1, '## BAB 4 | Percobaan 1\n\n1. Test Memuat Data - <PASSED>\nGet Population Column - <PASSED>\nGet Age Group Column - <PASSED>\nCheck Pie Chart - <PASSED>', '2024-08-20 16:15:14', '2024-08-20 16:15:23'),
+	(190, 24, 1, './public/submissions/answer_bab1_percobaan1.py', NULL, 1, '## BAB 1 | Percobaan 1\n\n1. Test Memuat Data - <PASSED>', '2024-08-20 16:17:36', '2024-08-20 16:17:39'),
+	(191, 24, 2, './public/submissions/answer_bab1_percobaan2.py', NULL, 1, '## BAB 1 | Percobaan 2\n\n1. Test Memuat Data  - <PASSED>\n2. Test Fungsi sample_rows() - <PASSED>', '2024-08-20 16:17:57', '2024-08-20 16:18:30'),
+	(192, 24, 4, './public/submissions/answer_bab2_percobaan3.py', NULL, 1, '## BAB 2 | Percobaan 3\n\n1. Test Memuat Data - <PASSED>\n3. Test Mengisi Nilai yang Hilang  - <PASSED>', '2024-08-20 16:20:31', '2024-08-20 16:20:37'),
+	(193, 24, 5, './public/submissions/answer_bab3_percobaan1.py', NULL, 1, '## BAB 3 | Percobaan 1\n\n1. Test Dimensi Array- - <PASSED>\n2. Test Pemotongan Array- - <PASSED>\n3. Test Tipe Hasil Pemotongan Array- - <PASSED>', '2024-08-20 16:21:01', '2024-08-20 16:21:02'),
+	(194, 24, 6, './public/submissions/answer_bab3_percobaan2.py', NULL, 2, '## BAB 3 | Percobaan 2\n\n1. Test Memuat Data - <PASSED>\n2. Test Fungsi head_rows() - <PASSED>\n3. Test Membuat Kolom Revenue  - <PASSED>\n4. Test Nilai Variabel total_pendapatan - <PASSED>', '2024-08-20 16:21:13', '2024-08-20 16:22:24'),
+	(195, 24, 7, './public/submissions/answer_bab3_percobaan3.py', NULL, 1, '## BAB 3 | Percobaan 3\n\n1. Test Memuat Data - <PASSED>\n2. Test Critic_Score Conversion - <PASSED>\n2. Test Create Variable top_10_movies - <PASSED>', '2024-08-20 16:24:11', '2024-08-20 16:24:17'),
+	(196, 24, 8, './public/submissions/answer_bab3_percobaan4.py', NULL, 2, '## BAB 3 | Percobaan 4\n\n1. Test Memuat Data - <PASSED>\n2. TestShow First Five Rows - <PASSED>\n3. Test calculates descriptive statistics for Customer Age - <PASSED>\n4. Test quartiles\'s value | Age - <PASSED>\n5. Test calculates descriptive statistics for Total Spent - <PASSED>\n6. Test quartiles\'s value | Total Spent (USD) - <PASSED>\n7. calculates correlation coefficient - <PASSED>', '2024-08-20 16:24:39', '2024-08-20 16:25:59'),
+	(197, 24, 9, './public/submissions/answer_bab3_percobaan5.py', NULL, 1, '## BAB 3 | Percobaan 5\n\n1. Test Memuat Data - <PASSED>\n2. Test Calculates Mean - <PASSED>\n3. Test Calculates Median - <PASSED>\n4. Test Calculates Mode - <PASSED>', '2024-08-20 16:29:13', '2024-08-20 16:29:19'),
+	(198, 24, 10, './public/submissions/answer_bab4_percobaan1.py', NULL, 1, '## BAB 4 | Percobaan 1\n\n1. Test Memuat Data - <PASSED>\nGet Population Column - <PASSED>\nGet Age Group Column - <PASSED>\nCheck Pie Chart - <PASSED>', '2024-08-20 16:30:15', '2024-08-20 16:30:25'),
+	(199, 25, 1, './public/submissions/answer_bab1_percobaan1.py', NULL, 1, '## BAB 1 | Percobaan 1\n\n1. Test Memuat Data - <PASSED>', '2024-08-20 16:32:25', '2024-08-20 16:32:28'),
+	(200, 25, 2, './public/submissions/answer_bab1_percobaan2.py', NULL, 1, '## BAB 1 | Percobaan 2\n\n1. Test Memuat Data  - <PASSED>\n2. Test Fungsi sample_rows() - <PASSED>', '2024-08-20 16:33:36', '2024-08-20 16:33:40'),
+	(201, 25, 4, './public/submissions/answer_bab2_percobaan3.py', NULL, 1, '## BAB 2 | Percobaan 3\n\n1. Test Memuat Data - <PASSED>\n3. Test Mengisi Nilai yang Hilang  - <PASSED>', '2024-08-20 16:34:25', '2024-08-20 16:34:35'),
+	(202, 25, 5, './public/submissions/answer_bab3_percobaan1.py', NULL, 1, '## BAB 3 | Percobaan 1\n\n1. Test Dimensi Array- - <PASSED>\n2. Test Pemotongan Array- - <PASSED>\n3. Test Tipe Hasil Pemotongan Array- - <PASSED>', '2024-08-20 16:35:01', '2024-08-20 16:35:01'),
+	(203, 25, 6, './public/submissions/answer_bab3_percobaan2.py', NULL, 1, '## BAB 3 | Percobaan 2\n\n1. Test Memuat Data - <PASSED>\n2. Test Fungsi head_rows() - <PASSED>\n3. Test Membuat Kolom Revenue  - <PASSED>\n4. Test Nilai Variabel total_pendapatan - <PASSED>', '2024-08-20 16:35:19', '2024-08-20 16:35:28'),
+	(204, 25, 7, './public/submissions/answer_bab3_percobaan3.py', NULL, 1, '## BAB 3 | Percobaan 3\n\n1. Test Memuat Data - <PASSED>\n2. Test Critic_Score Conversion - <PASSED>\n2. Test Create Variable top_10_movies - <PASSED>', '2024-08-20 16:35:52', '2024-08-20 16:35:57'),
+	(205, 25, 8, './public/submissions/answer_bab3_percobaan4.py', NULL, 1, '## BAB 3 | Percobaan 4\n\n1. Test Memuat Data - <PASSED>\n2. TestShow First Five Rows - <PASSED>\n3. Test calculates descriptive statistics for Customer Age - <PASSED>\n4. Test quartiles\'s value | Age - <PASSED>\n5. Test calculates descriptive statistics for Total Spent - <PASSED>\n6. Test quartiles\'s value | Total Spent (USD) - <PASSED>\n7. calculates correlation coefficient - <PASSED>', '2024-08-20 16:36:25', '2024-08-20 16:36:47'),
+	(206, 25, 9, './public/submissions/answer_bab3_percobaan5.py', NULL, 1, '## BAB 3 | Percobaan 5\n\n1. Test Memuat Data - <PASSED>\n2. Test Calculates Mean - <PASSED>\n3. Test Calculates Median - <PASSED>\n4. Test Calculates Mode - <PASSED>', '2024-08-20 16:38:16', '2024-08-20 16:38:23'),
+	(207, 25, 10, './public/submissions/answer_bab4_percobaan1.py', NULL, 1, '## BAB 4 | Percobaan 1\n\n1. Test Memuat Data - <PASSED>\nGet Population Column - <PASSED>\nGet Age Group Column - <PASSED>\nCheck Pie Chart - <PASSED>', '2024-08-20 16:39:00', '2024-08-20 16:39:09'),
+	(208, 26, 1, './public/submissions/answer_bab1_percobaan1.py', NULL, 1, '## BAB 1 | Percobaan 1\n\n1. Test Memuat Data - <PASSED>', '2024-08-20 16:41:57', '2024-08-20 16:41:59'),
+	(209, 26, 2, './public/submissions/answer_bab1_percobaan2.py', NULL, 1, '## BAB 1 | Percobaan 2\n\n1. Test Memuat Data  - <PASSED>\n2. Test Fungsi sample_rows() - <PASSED>', '2024-08-20 16:42:28', '2024-08-20 16:42:31'),
+	(210, 26, 4, './public/submissions/answer_bab2_percobaan3.py', NULL, 1, '## BAB 2 | Percobaan 3\n\n1. Test Memuat Data - <PASSED>\n3. Test Mengisi Nilai yang Hilang  - <PASSED>', '2024-08-20 16:43:03', '2024-08-20 16:43:17'),
+	(211, 26, 5, './public/submissions/answer_bab3_percobaan1.py', NULL, 1, '## BAB 3 | Percobaan 1\n\n1. Test Dimensi Array- - <PASSED>\n2. Test Pemotongan Array- - <PASSED>\n3. Test Tipe Hasil Pemotongan Array- - <PASSED>', '2024-08-20 16:44:50', '2024-08-20 16:44:51'),
+	(212, 26, 6, './public/submissions/answer_bab3_percobaan2.py', NULL, 2, '## BAB 3 | Percobaan 2\n\n1. Test Memuat Data - <PASSED>\n2. Test Fungsi head_rows() - <PASSED>\n3. Test Membuat Kolom Revenue  - <PASSED>\n4. Test Nilai Variabel total_pendapatan - <PASSED>', '2024-08-20 16:45:05', '2024-08-20 16:45:45'),
+	(213, 26, 7, './public/submissions/answer_bab3_percobaan3.py', NULL, 2, '## BAB 3 | Percobaan 3\n\n1. Test Memuat Data - <PASSED>\n2. Test Critic_Score Conversion - <PASSED>\n2. Test Create Variable top_10_movies - <PASSED>', '2024-08-20 16:47:51', '2024-08-20 16:48:21'),
+	(214, 26, 8, './public/submissions/answer_bab3_percobaan4.py', NULL, 1, '## BAB 3 | Percobaan 4\n\n1. Test Memuat Data - <PASSED>\n2. TestShow First Five Rows - <PASSED>\n3. Test calculates descriptive statistics for Customer Age - <PASSED>\n4. Test quartiles\'s value | Age - <PASSED>\n5. Test calculates descriptive statistics for Total Spent - <PASSED>\n6. Test quartiles\'s value | Total Spent (USD) - <PASSED>\n7. calculates correlation coefficient - <PASSED>', '2024-08-20 16:48:47', '2024-08-20 16:49:06'),
+	(215, 26, 9, './public/submissions/answer_bab3_percobaan5.py', NULL, 1, '## BAB 3 | Percobaan 5\n\n1. Test Memuat Data - <PASSED>\n2. Test Calculates Mean - <PASSED>\n3. Test Calculates Median - <PASSED>\n4. Test Calculates Mode - <PASSED>', '2024-08-20 16:49:28', '2024-08-20 16:49:35'),
+	(216, 26, 10, './public/submissions/answer_bab4_percobaan1.py', NULL, 2, '## BAB 4 | Percobaan 1\n\n1. Test Memuat Data - <PASSED>\nGet Population Column - <PASSED>\nGet Age Group Column - <PASSED>\nCheck Pie Chart - <PASSED>', '2024-08-20 16:50:19', '2024-08-20 16:50:59'),
+	(217, 27, 1, './public/submissions/answer_bab1_percobaan1.py', NULL, 1, '## BAB 1 | Percobaan 1\n\n1. Test Memuat Data - <PASSED>', '2024-08-20 16:53:09', '2024-08-20 16:53:12'),
+	(218, 27, 2, './public/submissions/answer_bab1_percobaan2.py', NULL, 1, '## BAB 1 | Percobaan 2\n\n1. Test Memuat Data  - <PASSED>\n2. Test Fungsi sample_rows() - <PASSED>', '2024-08-20 16:53:27', '2024-08-20 16:53:29'),
+	(219, 27, 4, './public/submissions/answer_bab2_percobaan3.py', NULL, 1, '## BAB 2 | Percobaan 3\n\n1. Test Memuat Data - <PASSED>\n3. Test Mengisi Nilai yang Hilang  - <PASSED>', '2024-08-20 16:54:34', '2024-08-20 16:54:44'),
+	(220, 27, 5, './public/submissions/answer_bab3_percobaan1.py', NULL, 1, '## BAB 3 | Percobaan 1\n\n1. Test Dimensi Array- - <PASSED>\n2. Test Pemotongan Array- - <PASSED>\n3. Test Tipe Hasil Pemotongan Array- - <PASSED>', '2024-08-20 16:55:20', '2024-08-20 16:55:20'),
+	(221, 27, 6, './public/submissions/answer_bab3_percobaan2.py', NULL, 1, '## BAB 3 | Percobaan 2\n\n1. Test Memuat Data - <PASSED>\n2. Test Fungsi head_rows() - <PASSED>\n3. Test Membuat Kolom Revenue  - <PASSED>\n4. Test Nilai Variabel total_pendapatan - <PASSED>', '2024-08-20 16:55:43', '2024-08-20 16:55:51'),
+	(222, 27, 7, './public/submissions/answer_bab3_percobaan3.py', NULL, 1, '## BAB 3 | Percobaan 3\n\n1. Test Memuat Data - <PASSED>\n2. Test Critic_Score Conversion - <PASSED>\n2. Test Create Variable top_10_movies - <PASSED>', '2024-08-20 16:56:05', '2024-08-20 16:56:11'),
+	(223, 27, 8, './public/submissions/answer_bab3_percobaan4.py', NULL, 1, '## BAB 3 | Percobaan 4\n\n1. Test Memuat Data - <PASSED>\n2. TestShow First Five Rows - <PASSED>\n3. Test calculates descriptive statistics for Customer Age - <PASSED>\n4. Test quartiles\'s value | Age - <PASSED>\n5. Test calculates descriptive statistics for Total Spent - <PASSED>\n6. Test quartiles\'s value | Total Spent (USD) - <PASSED>\n7. calculates correlation coefficient - <PASSED>', '2024-08-20 16:56:27', '2024-08-20 16:56:47'),
+	(224, 27, 9, './public/submissions/answer_bab3_percobaan5.py', NULL, 1, '## BAB 3 | Percobaan 5\n\n1. Test Memuat Data - <PASSED>\n2. Test Calculates Mean - <PASSED>\n3. Test Calculates Median - <PASSED>\n4. Test Calculates Mode - <PASSED>', '2024-08-20 16:57:18', '2024-08-20 16:57:24'),
+	(225, 27, 10, './public/submissions/answer_bab4_percobaan1.py', NULL, 2, '## BAB 4 | Percobaan 1\n\n1. Test Memuat Data - <PASSED>\nGet Population Column - <PASSED>\nGet Age Group Column - <PASSED>\nCheck Pie Chart - <PASSED>', '2024-08-20 16:59:11', '2024-08-20 16:59:48'),
+	(226, 28, 1, './public/submissions/answer_bab1_percobaan1.py', NULL, 1, '## BAB 1 | Percobaan 1\n\n1. Test Memuat Data - <PASSED>', '2024-08-20 17:07:05', '2024-08-20 17:07:29'),
+	(227, 28, 2, './public/submissions/answer_bab1_percobaan2.py', NULL, 1, '## BAB 1 | Percobaan 2\n\n1. Test Memuat Data  - <PASSED>\n2. Test Fungsi sample_rows() - <PASSED>', '2024-08-20 17:08:34', '2024-08-20 17:08:58'),
+	(228, 28, 4, './public/submissions/answer_bab2_percobaan3.py', NULL, 1, '## BAB 2 | Percobaan 3\n\n1. Test Memuat Data - <PASSED>\n3. Test Mengisi Nilai yang Hilang  - <PASSED>', '2024-08-20 17:09:53', '2024-08-20 17:10:04'),
+	(229, 28, 5, './public/submissions/answer_bab3_percobaan1.py', NULL, 1, '## BAB 3 | Percobaan 1\n\n1. Test Dimensi Array- - <PASSED>\n2. Test Pemotongan Array- - <PASSED>\n3. Test Tipe Hasil Pemotongan Array- - <PASSED>', '2024-08-20 17:10:49', '2024-08-20 17:10:50'),
+	(230, 28, 6, './public/submissions/answer_bab3_percobaan2.py', NULL, 2, '## BAB 3 | Percobaan 2\n\n1. Test Memuat Data - <PASSED>\n2. Test Fungsi head_rows() - <PASSED>\n3. Test Membuat Kolom Revenue  - <PASSED>\n4. Test Nilai Variabel total_pendapatan - <PASSED>', '2024-08-20 17:11:14', '2024-08-20 17:11:44'),
+	(231, 28, 7, './public/submissions/answer_bab3_percobaan3.py', NULL, 1, '## BAB 3 | Percobaan 3\n\n1. Test Memuat Data - <PASSED>\n2. Test Critic_Score Conversion - <PASSED>\n2. Test Create Variable top_10_movies - <PASSED>', '2024-08-20 17:12:00', '2024-08-20 17:12:06'),
+	(232, 28, 8, './public/submissions/answer_bab3_percobaan4.py', NULL, 2, '## BAB 3 | Percobaan 4\n\n1. Test Memuat Data - <PASSED>\n2. TestShow First Five Rows - <PASSED>\n3. Test calculates descriptive statistics for Customer Age - <PASSED>\n4. Test quartiles\'s value | Age - <PASSED>\n5. Test calculates descriptive statistics for Total Spent - <PASSED>\n6. Test quartiles\'s value | Total Spent (USD) - <PASSED>\n7. calculates correlation coefficient - <PASSED>', '2024-08-20 17:12:20', '2024-08-20 17:13:19'),
+	(233, 28, 9, './public/submissions/answer_bab3_percobaan5.py', NULL, 1, '## BAB 3 | Percobaan 5\n\n1. Test Memuat Data - <PASSED>\n2. Test Calculates Mean - <PASSED>\n3. Test Calculates Median - <PASSED>\n4. Test Calculates Mode - <PASSED>', '2024-08-20 17:13:47', '2024-08-20 17:13:56'),
+	(234, 28, 10, './public/submissions/answer_bab4_percobaan1.py', NULL, 2, '## BAB 4 | Percobaan 1\n\n1. Test Memuat Data - <PASSED>\nGet Population Column - <PASSED>\nGet Age Group Column - <PASSED>\nCheck Pie Chart - <PASSED>', '2024-08-20 17:14:17', '2024-08-20 17:15:48'),
+	(235, 29, 1, './public/submissions/answer_bab1_percobaan1.py', NULL, 1, '## BAB 1 | Percobaan 1\n\n1. Test Memuat Data - <PASSED>', '2024-08-20 17:57:47', '2024-08-20 17:57:50'),
+	(236, 29, 2, './public/submissions/answer_bab1_percobaan2.py', NULL, 1, '## BAB 1 | Percobaan 2\n\n1. Test Memuat Data  - <PASSED>\n2. Test Fungsi sample_rows() - <PASSED>', '2024-08-20 17:58:05', '2024-08-20 17:58:08'),
+	(237, 29, 4, './public/submissions/answer_bab2_percobaan3.py', NULL, 1, '## BAB 2 | Percobaan 3\n\n1. Test Memuat Data - <PASSED>\n3. Test Mengisi Nilai yang Hilang  - <PASSED>', '2024-08-20 17:58:54', '2024-08-20 17:59:04'),
+	(238, 29, 5, './public/submissions/answer_bab3_percobaan1.py', NULL, 1, '## BAB 3 | Percobaan 1\n\n1. Test Dimensi Array- - <PASSED>\n2. Test Pemotongan Array- - <PASSED>\n3. Test Tipe Hasil Pemotongan Array- - <PASSED>', '2024-08-20 17:59:37', '2024-08-20 17:59:38'),
+	(239, 29, 6, './public/submissions/answer_bab3_percobaan2.py', NULL, 1, '## BAB 3 | Percobaan 2\n\n1. Test Memuat Data - <PASSED>\n2. Test Fungsi head_rows() - <PASSED>\n3. Test Membuat Kolom Revenue  - <PASSED>\n4. Test Nilai Variabel total_pendapatan - <PASSED>', '2024-08-20 17:59:55', '2024-08-20 18:00:03'),
+	(240, 29, 7, './public/submissions/answer_bab3_percobaan3.py', NULL, 1, '## BAB 3 | Percobaan 3\n\n1. Test Memuat Data - <PASSED>\n2. Test Critic_Score Conversion - <PASSED>\n2. Test Create Variable top_10_movies - <PASSED>', '2024-08-20 18:01:05', '2024-08-20 18:01:11'),
+	(241, 29, 8, './public/submissions/answer_bab3_percobaan4.py', NULL, 1, '## BAB 3 | Percobaan 4\n\n1. Test Memuat Data - <PASSED>\n2. TestShow First Five Rows - <PASSED>\n3. Test calculates descriptive statistics for Customer Age - <PASSED>\n4. Test quartiles\'s value | Age - <PASSED>\n5. Test calculates descriptive statistics for Total Spent - <PASSED>\n6. Test quartiles\'s value | Total Spent (USD) - <PASSED>\n7. calculates correlation coefficient - <PASSED>', '2024-08-20 18:01:25', '2024-08-20 18:01:44'),
+	(242, 29, 9, './public/submissions/answer_bab3_percobaan5.py', NULL, 1, '## BAB 3 | Percobaan 5\n\n1. Test Memuat Data - <PASSED>\n2. Test Calculates Mean - <PASSED>\n3. Test Calculates Median - <PASSED>\n4. Test Calculates Mode - <PASSED>', '2024-08-20 18:03:12', '2024-08-20 18:03:18'),
+	(243, 29, 10, './public/submissions/answer_bab4_percobaan1.py', NULL, 1, '## BAB 4 | Percobaan 1\n\n1. Test Memuat Data - <PASSED>\nGet Population Column - <PASSED>\nGet Age Group Column - <PASSED>\nCheck Pie Chart - <PASSED>', '2024-08-20 18:03:57', '2024-08-20 18:04:08'),
+	(244, 30, 1, './public/submissions/answer_bab1_percobaan1.py', NULL, 1, '## BAB 1 | Percobaan 1\n\n1. Test Memuat Data - <PASSED>', '2024-08-20 18:06:59', '2024-08-20 18:07:02'),
+	(245, 30, 2, './public/submissions/answer_bab1_percobaan2.py', NULL, 1, '## BAB 1 | Percobaan 2\n\n1. Test Memuat Data  - <PASSED>\n2. Test Fungsi sample_rows() - <PASSED>', '2024-08-20 18:07:14', '2024-08-20 18:07:17'),
+	(246, 30, 4, './public/submissions/answer_bab2_percobaan3.py', NULL, 1, '## BAB 2 | Percobaan 3\n\n1. Test Memuat Data - <PASSED>\n3. Test Mengisi Nilai yang Hilang  - <PASSED>', '2024-08-20 18:07:44', '2024-08-20 18:07:44'),
+	(247, 30, 5, './public/submissions/answer_bab3_percobaan1.py', NULL, 1, '## BAB 3 | Percobaan 1\n\n1. Test Dimensi Array- - <PASSED>\n2. Test Pemotongan Array- - <PASSED>\n3. Test Tipe Hasil Pemotongan Array- - <PASSED>', '2024-08-20 18:08:15', '2024-08-20 18:08:16'),
+	(248, 30, 6, './public/submissions/answer_bab3_percobaan2.py', NULL, 1, '## BAB 3 | Percobaan 2\n\n1. Test Memuat Data - <PASSED>\n2. Test Fungsi head_rows() - <PASSED>\n3. Test Membuat Kolom Revenue  - <PASSED>\n4. Test Nilai Variabel total_pendapatan - <PASSED>', '2024-08-20 18:08:29', '2024-08-20 18:08:37'),
+	(249, 30, 7, './public/submissions/answer_bab3_percobaan3.py', NULL, 1, '## BAB 3 | Percobaan 3\n\n1. Test Memuat Data - <PASSED>\n2. Test Critic_Score Conversion - <PASSED>\n2. Test Create Variable top_10_movies - <PASSED>', '2024-08-20 18:09:14', '2024-08-20 18:09:19'),
+	(250, 30, 8, './public/submissions/answer_bab3_percobaan4.py', NULL, 1, '## BAB 3 | Percobaan 4\n\n1. Test Memuat Data - <PASSED>\n2. TestShow First Five Rows - <PASSED>\n3. Test calculates descriptive statistics for Customer Age - <PASSED>\n4. Test quartiles\'s value | Age - <PASSED>\n5. Test calculates descriptive statistics for Total Spent - <PASSED>\n6. Test quartiles\'s value | Total Spent (USD) - <PASSED>\n7. calculates correlation coefficient - <PASSED>', '2024-08-20 18:09:49', '2024-08-20 18:10:08'),
+	(251, 30, 9, './public/submissions/answer_bab3_percobaan5.py', NULL, 1, '## BAB 3 | Percobaan 5\n\n1. Test Memuat Data - <PASSED>\n2. Test Calculates Mean - <PASSED>\n3. Test Calculates Median - <PASSED>\n4. Test Calculates Mode - <PASSED>', '2024-08-20 18:10:22', '2024-08-20 18:10:29'),
+	(252, 30, 10, './public/submissions/answer_bab4_percobaan1.py', NULL, 1, '## BAB 4 | Percobaan 1\n\n1. Test Memuat Data - <PASSED>\nGet Population Column - <PASSED>\nGet Age Group Column - <PASSED>\nCheck Pie Chart - <PASSED>', '2024-08-20 18:11:52', '2024-08-20 18:12:01'),
+	(253, 31, 1, './public/submissions/answer_bab1_percobaan1.py', NULL, 1, '## BAB 1 | Percobaan 1\n\n1. Test Memuat Data - <PASSED>', '2024-08-20 18:14:23', '2024-08-20 18:14:27'),
+	(254, 31, 2, './public/submissions/answer_bab1_percobaan2.py', NULL, 1, '## BAB 1 | Percobaan 2\n\n1. Test Memuat Data  - <PASSED>\n2. Test Fungsi sample_rows() - <PASSED>', '2024-08-20 18:14:37', '2024-08-20 18:14:40'),
+	(255, 31, 4, './public/submissions/answer_bab2_percobaan3.py', NULL, 1, '## BAB 2 | Percobaan 3\n\n1. Test Memuat Data - <PASSED>\n3. Test Mengisi Nilai yang Hilang  - <PASSED>', '2024-08-20 18:15:11', '2024-08-20 18:15:30'),
+	(256, 31, 5, './public/submissions/answer_bab3_percobaan1.py', NULL, 1, '## BAB 3 | Percobaan 1\n\n1. Test Dimensi Array- - <PASSED>\n2. Test Pemotongan Array- - <PASSED>\n3. Test Tipe Hasil Pemotongan Array- - <PASSED>', '2024-08-20 18:16:25', '2024-08-20 18:16:25'),
+	(257, 31, 6, './public/submissions/answer_bab3_percobaan2.py', NULL, 1, '## BAB 3 | Percobaan 2\n\n1. Test Memuat Data - <PASSED>\n2. Test Fungsi head_rows() - <PASSED>\n3. Test Membuat Kolom Revenue  - <PASSED>\n4. Test Nilai Variabel total_pendapatan - <PASSED>', '2024-08-20 18:16:39', '2024-08-20 18:16:48'),
+	(258, 31, 7, './public/submissions/answer_bab3_percobaan3.py', NULL, 1, '## BAB 3 | Percobaan 3\n\n1. Test Memuat Data - <PASSED>\n2. Test Critic_Score Conversion - <PASSED>\n2. Test Create Variable top_10_movies - <PASSED>', '2024-08-20 18:17:38', '2024-08-20 18:17:43'),
+	(259, 31, 8, './public/submissions/answer_bab3_percobaan4.py', NULL, 1, '## BAB 3 | Percobaan 4\n\n1. Test Memuat Data - <PASSED>\n2. TestShow First Five Rows - <PASSED>\n3. Test calculates descriptive statistics for Customer Age - <PASSED>\n4. Test quartiles\'s value | Age - <PASSED>\n5. Test calculates descriptive statistics for Total Spent - <PASSED>\n6. Test quartiles\'s value | Total Spent (USD) - <PASSED>\n7. calculates correlation coefficient - <PASSED>', '2024-08-20 18:18:02', '2024-08-20 18:18:21'),
+	(260, 31, 9, './public/submissions/answer_bab3_percobaan5.py', NULL, 1, '## BAB 3 | Percobaan 5\n\n1. Test Memuat Data - <PASSED>\n2. Test Calculates Mean - <PASSED>\n3. Test Calculates Median - <PASSED>\n4. Test Calculates Mode - <PASSED>', '2024-08-20 18:19:07', '2024-08-20 18:19:14'),
+	(261, 31, 10, './public/submissions/answer_bab4_percobaan1.py', NULL, 1, '## BAB 4 | Percobaan 1\n\n1. Test Memuat Data - <PASSED>\nGet Population Column - <PASSED>\nGet Age Group Column - <PASSED>\nCheck Pie Chart - <PASSED>', '2024-08-20 18:20:00', '2024-08-20 18:20:18'),
+	(262, 32, 1, './public/submissions/answer_bab1_percobaan1.py', NULL, 1, '## BAB 1 | Percobaan 1\n\n1. Test Memuat Data - <PASSED>', '2024-08-20 18:22:01', '2024-08-20 18:22:04'),
+	(263, 32, 2, './public/submissions/answer_bab1_percobaan2.py', NULL, 1, '## BAB 1 | Percobaan 2\n\n1. Test Memuat Data  - <PASSED>\n2. Test Fungsi sample_rows() - <PASSED>', '2024-08-20 18:23:48', '2024-08-20 18:23:51'),
+	(264, 32, 4, './public/submissions/answer_bab2_percobaan3.py', NULL, 1, '## BAB 2 | Percobaan 3\n\n1. Test Memuat Data - <PASSED>\n3. Test Mengisi Nilai yang Hilang  - <PASSED>', '2024-08-20 18:24:12', '2024-08-20 18:24:23'),
+	(265, 32, 5, './public/submissions/answer_bab3_percobaan1.py', NULL, 1, '## BAB 3 | Percobaan 1\n\n1. Test Dimensi Array- - <PASSED>\n2. Test Pemotongan Array- - <PASSED>\n3. Test Tipe Hasil Pemotongan Array- - <PASSED>', '2024-08-20 18:25:00', '2024-08-20 18:25:01'),
+	(266, 32, 6, './public/submissions/answer_bab3_percobaan2.py', NULL, 1, '## BAB 3 | Percobaan 2\n\n1. Test Memuat Data - <PASSED>\n2. Test Fungsi head_rows() - <PASSED>\n3. Test Membuat Kolom Revenue  - <PASSED>\n4. Test Nilai Variabel total_pendapatan - <PASSED>', '2024-08-20 18:25:33', '2024-08-20 18:25:54'),
+	(267, 32, 7, './public/submissions/answer_bab3_percobaan3.py', NULL, 1, '## BAB 3 | Percobaan 3\n\n1. Test Memuat Data - <PASSED>\n2. Test Critic_Score Conversion - <PASSED>\n2. Test Create Variable top_10_movies - <PASSED>', '2024-08-20 18:26:11', '2024-08-20 18:26:17'),
+	(268, 32, 8, './public/submissions/answer_bab3_percobaan4.py', NULL, 1, '## BAB 3 | Percobaan 4\r\n\r\n1. Test Memuat Data - <PASSED>\r\n2. TestShow First Five Rows - <PASSED>\r\n3. Test calculates descriptive statistics for Customer Age - <PASSED>\r\n4. Test quartiles\'s value | Age - <PASSED>\r\n5. Test calculates descriptive statistics for Total Spent - <PASSED>\r\n6. Test quartiles\'s value | Total Spent (USD) - <PASSED>\r\n7. calculates correlation coefficient - <PASSED>', '2024-08-20 18:26:58', '2024-08-20 18:26:58'),
+	(269, 32, 9, './public/submissions/answer_bab3_percobaan5.py', NULL, 1, '## BAB 3 | Percobaan 5\n\n1. Test Memuat Data - <PASSED>\n2. Test Calculates Mean - <PASSED>\n3. Test Calculates Median - <PASSED>\n4. Test Calculates Mode - <PASSED>', '2024-08-20 18:27:32', '2024-08-20 18:27:32'),
+	(270, 32, 10, './public/submissions/answer_bab4_percobaan1.py', NULL, 1, '## BAB 4 | Percobaan 1\n\n1. Test Memuat Data - <PASSED>\nGet Population Column - <PASSED>\nGet Age Group Column - <PASSED>\nCheck Pie Chart - <PASSED>', '2024-08-20 18:28:06', '2024-08-20 18:28:15'),
+	(271, 33, 1, './public/submissions/answer_bab1_percobaan1.py', NULL, 1, '## BAB 1 | Percobaan 1\n\n1. Test Memuat Data - <PASSED>', '2024-08-20 18:30:02', '2024-08-20 18:30:05'),
+	(272, 33, 2, './public/submissions/answer_bab1_percobaan2.py', NULL, 1, '## BAB 1 | Percobaan 2\n\n1. Test Memuat Data  - <PASSED>\n2. Test Fungsi sample_rows() - <PASSED>', '2024-08-20 18:30:36', '2024-08-20 18:30:38'),
+	(273, 33, 4, './public/submissions/answer_bab2_percobaan3.py', NULL, 1, '## BAB 2 | Percobaan 3\n\n1. Test Memuat Data - <PASSED>\n3. Test Mengisi Nilai yang Hilang  - <PASSED>', '2024-08-20 18:31:07', '2024-08-20 18:31:17'),
+	(274, 33, 5, './public/submissions/answer_bab3_percobaan1.py', NULL, 1, '## BAB 3 | Percobaan 1\n\n1. Test Dimensi Array- - <PASSED>\n2. Test Pemotongan Array- - <PASSED>\n3. Test Tipe Hasil Pemotongan Array- - <PASSED>', '2024-08-20 18:32:07', '2024-08-20 18:32:08'),
+	(275, 33, 6, './public/submissions/answer_bab3_percobaan2.py', NULL, 1, '## BAB 3 | Percobaan 2\n\n1. Test Memuat Data - <PASSED>\n2. Test Fungsi head_rows() - <PASSED>\n3. Test Membuat Kolom Revenue  - <PASSED>\n4. Test Nilai Variabel total_pendapatan - <PASSED>', '2024-08-20 18:32:21', '2024-08-20 18:32:29'),
+	(276, 33, 7, './public/submissions/answer_bab3_percobaan3.py', NULL, 1, '## BAB 3 | Percobaan 3\n\n1. Test Memuat Data - <PASSED>\n2. Test Critic_Score Conversion - <PASSED>\n2. Test Create Variable top_10_movies - <PASSED>', '2024-08-20 18:32:46', '2024-08-20 18:32:51'),
+	(277, 33, 8, './public/submissions/answer_bab3_percobaan4.py', NULL, 1, '## BAB 3 | Percobaan 4\n\n1. Test Memuat Data - <PASSED>\n2. TestShow First Five Rows - <PASSED>\n3. Test calculates descriptive statistics for Customer Age - <PASSED>\n4. Test quartiles\'s value | Age - <PASSED>\n5. Test calculates descriptive statistics for Total Spent - <PASSED>\n6. Test quartiles\'s value | Total Spent (USD) - <PASSED>\n7. calculates correlation coefficient - <PASSED>', '2024-08-20 18:33:09', '2024-08-20 18:33:28'),
+	(278, 33, 9, './public/submissions/answer_bab3_percobaan5.py', NULL, 1, '## BAB 3 | Percobaan 5\n\n1. Test Memuat Data - <PASSED>\n2. Test Calculates Mean - <PASSED>\n3. Test Calculates Median - <PASSED>\n4. Test Calculates Mode - <PASSED>', '2024-08-20 18:33:45', '2024-08-20 18:33:52'),
+	(279, 33, 10, './public/submissions/answer_bab4_percobaan1.py', NULL, 1, '## BAB 4 | Percobaan 1\n\n1. Test Memuat Data - <PASSED>\nGet Population Column - <PASSED>\nGet Age Group Column - <PASSED>\nCheck Pie Chart - <PASSED>', '2024-08-20 18:34:16', '2024-08-20 18:34:25'),
+	(280, 34, 1, './public/submissions/answer_bab1_percobaan1.py', NULL, 1, '## BAB 1 | Percobaan 1\n\n1. Test Memuat Data - <PASSED>', '2024-08-20 18:35:54', '2024-08-20 18:35:57'),
+	(281, 34, 2, './public/submissions/answer_bab1_percobaan2.py', NULL, 1, '## BAB 1 | Percobaan 2\n\n1. Test Memuat Data  - <PASSED>\n2. Test Fungsi sample_rows() - <PASSED>', '2024-08-20 18:37:06', '2024-08-20 18:37:08'),
+	(282, 34, 4, './public/submissions/answer_bab2_percobaan3.py', NULL, 1, '## BAB 2 | Percobaan 3\n\n1. Test Memuat Data - <PASSED>\n3. Test Mengisi Nilai yang Hilang  - <PASSED>', '2024-08-20 18:37:44', '2024-08-20 18:37:54'),
+	(283, 34, 5, './public/submissions/answer_bab3_percobaan1.py', NULL, 1, '## BAB 3 | Percobaan 1\n\n1. Test Dimensi Array- - <PASSED>\n2. Test Pemotongan Array- - <PASSED>\n3. Test Tipe Hasil Pemotongan Array- - <PASSED>', '2024-08-20 18:38:44', '2024-08-20 18:38:44'),
+	(284, 34, 6, './public/submissions/answer_bab3_percobaan2.py', NULL, 1, '## BAB 3 | Percobaan 2\n\n1. Test Memuat Data - <PASSED>\n2. Test Fungsi head_rows() - <PASSED>\n3. Test Membuat Kolom Revenue  - <PASSED>\n4. Test Nilai Variabel total_pendapatan - <PASSED>', '2024-08-20 18:38:54', '2024-08-20 18:39:03'),
+	(285, 34, 7, './public/submissions/answer_bab3_percobaan3.py', NULL, 1, '## BAB 3 | Percobaan 3\n\n1. Test Memuat Data - <PASSED>\n2. Test Critic_Score Conversion - <PASSED>\n2. Test Create Variable top_10_movies - <PASSED>', '2024-08-20 18:39:15', '2024-08-20 18:39:20'),
+	(286, 34, 8, './public/submissions/answer_bab3_percobaan4.py', NULL, 1, '## BAB 3 | Percobaan 4\n\n1. Test Memuat Data - <PASSED>\n2. TestShow First Five Rows - <PASSED>\n3. Test calculates descriptive statistics for Customer Age - <PASSED>\n4. Test quartiles\'s value | Age - <PASSED>\n5. Test calculates descriptive statistics for Total Spent - <PASSED>\n6. Test quartiles\'s value | Total Spent (USD) - <PASSED>\n7. calculates correlation coefficient - <PASSED>', '2024-08-20 18:39:43', '2024-08-20 18:40:02'),
+	(287, 34, 9, './public/submissions/answer_bab3_percobaan5.py', NULL, 1, '## BAB 3 | Percobaan 5\n\n1. Test Memuat Data - <PASSED>\n2. Test Calculates Mean - <PASSED>\n3. Test Calculates Median - <PASSED>\n4. Test Calculates Mode - <PASSED>', '2024-08-20 18:40:12', '2024-08-20 18:40:19'),
+	(288, 34, 10, './public/submissions/answer_bab4_percobaan1.py', NULL, 1, '## BAB 4 | Percobaan 1\n\n1. Test Memuat Data - <PASSED>\nGet Population Column - <PASSED>\nGet Age Group Column - <PASSED>\nCheck Pie Chart - <PASSED>', '2024-08-20 18:41:15', '2024-08-20 18:41:29'),
+	(289, 35, 1, './public/submissions/answer_bab1_percobaan1.py', NULL, 1, '## BAB 1 | Percobaan 1\n\n1. Test Memuat Data - <PASSED>', '2024-08-20 18:42:58', '2024-08-20 18:43:01'),
+	(290, 35, 2, './public/submissions/answer_bab1_percobaan2.py', NULL, 1, '## BAB 1 | Percobaan 2\n\n1. Test Memuat Data  - <PASSED>\n2. Test Fungsi sample_rows() - <PASSED>', '2024-08-20 18:43:27', '2024-08-20 18:43:30'),
+	(291, 35, 4, './public/submissions/answer_bab2_percobaan3.py', NULL, 1, '## BAB 2 | Percobaan 3\n\n1. Test Memuat Data - <PASSED>\n3. Test Mengisi Nilai yang Hilang  - <PASSED>', '2024-08-20 18:44:29', '2024-08-20 18:44:40'),
+	(292, 35, 5, './public/submissions/answer_bab3_percobaan1.py', NULL, 1, '## BAB 3 | Percobaan 1\n\n1. Test Dimensi Array- - <PASSED>\n2. Test Pemotongan Array- - <PASSED>\n3. Test Tipe Hasil Pemotongan Array- - <PASSED>', '2024-08-20 18:45:27', '2024-08-20 18:45:27'),
+	(293, 35, 6, './public/submissions/answer_bab3_percobaan2.py', NULL, 1, '## BAB 3 | Percobaan 2\n\n1. Test Memuat Data - <PASSED>\n2. Test Fungsi head_rows() - <PASSED>\n3. Test Membuat Kolom Revenue  - <PASSED>\n4. Test Nilai Variabel total_pendapatan - <PASSED>', '2024-08-20 18:45:37', '2024-08-20 18:45:46'),
+	(294, 35, 7, './public/submissions/answer_bab3_percobaan3.py', NULL, 1, '## BAB 3 | Percobaan 3\n\n1. Test Memuat Data - <PASSED>\n2. Test Critic_Score Conversion - <PASSED>\n2. Test Create Variable top_10_movies - <PASSED>', '2024-08-20 18:45:58', '2024-08-20 18:46:04'),
+	(295, 35, 8, './public/submissions/answer_bab3_percobaan4.py', NULL, 1, '## BAB 3 | Percobaan 4\n\n1. Test Memuat Data - <PASSED>\n2. TestShow First Five Rows - <PASSED>\n3. Test calculates descriptive statistics for Customer Age - <PASSED>\n4. Test quartiles\'s value | Age - <PASSED>\n5. Test calculates descriptive statistics for Total Spent - <PASSED>\n6. Test quartiles\'s value | Total Spent (USD) - <PASSED>\n7. calculates correlation coefficient - <PASSED>', '2024-08-20 18:46:45', '2024-08-20 18:47:03'),
+	(296, 35, 9, './public/submissions/answer_bab3_percobaan5.py', NULL, 1, '## BAB 3 | Percobaan 5\n\n1. Test Memuat Data - <PASSED>\n2. Test Calculates Mean - <PASSED>\n3. Test Calculates Median - <PASSED>\n4. Test Calculates Mode - <PASSED>', '2024-08-20 18:47:36', '2024-08-20 18:47:42'),
+	(297, 35, 10, './public/submissions/answer_bab4_percobaan1.py', NULL, 1, '## BAB 4 | Percobaan 1\n\n1. Test Memuat Data - <PASSED>\nGet Population Column - <PASSED>\nGet Age Group Column - <PASSED>\nCheck Pie Chart - <PASSED>', '2024-08-20 18:48:09', '2024-08-20 18:48:32'),
+	(298, 36, 1, './public/submissions/answer_bab1_percobaan1.py', NULL, 1, '## BAB 1 | Percobaan 1\n\n1. Test Memuat Data - <PASSED>', '2024-08-21 05:42:04', '2024-08-21 05:42:09'),
+	(299, 36, 2, './public/submissions/answer_bab1_percobaan2.py', NULL, 1, '## BAB 1 | Percobaan 2\n\n1. Test Memuat Data  - <PASSED>\n2. Test Fungsi sample_rows() - <PASSED>', '2024-08-21 05:42:31', '2024-08-21 05:42:36'),
+	(300, 36, 4, './public/submissions/answer_bab2_percobaan3.py', NULL, 1, '## BAB 2 | Percobaan 3\n\n1. Test Memuat Data - <PASSED>\n3. Test Mengisi Nilai yang Hilang  - <PASSED>', '2024-08-21 05:43:02', '2024-08-21 05:43:15'),
+	(301, 36, 5, './public/submissions/answer_bab3_percobaan1.py', NULL, 1, '## BAB 3 | Percobaan 1\n\n1. Test Dimensi Array- - <PASSED>\n2. Test Pemotongan Array- - <PASSED>\n3. Test Tipe Hasil Pemotongan Array- - <PASSED>', '2024-08-21 05:43:38', '2024-08-21 05:43:38'),
+	(302, 36, 6, './public/submissions/answer_bab3_percobaan2.py', NULL, 1, '## BAB 3 | Percobaan 2\n\n1. Test Memuat Data - <PASSED>\n2. Test Fungsi head_rows() - <PASSED>\n3. Test Membuat Kolom Revenue  - <PASSED>\n4. Test Nilai Variabel total_pendapatan - <PASSED>', '2024-08-21 05:43:52', '2024-08-21 05:44:02'),
+	(303, 36, 7, './public/submissions/answer_bab3_percobaan3.py', NULL, 1, '## BAB 3 | Percobaan 3\n\n1. Test Memuat Data - <PASSED>\n2. Test Critic_Score Conversion - <PASSED>\n2. Test Create Variable top_10_movies - <PASSED>', '2024-08-21 05:45:26', '2024-08-21 05:45:33'),
+	(304, 36, 8, './public/submissions/answer_bab3_percobaan4.py', NULL, 1, '## BAB 3 | Percobaan 4\n\n1. Test Memuat Data - <PASSED>\n2. TestShow First Five Rows - <PASSED>\n3. Test calculates descriptive statistics for Customer Age - <PASSED>\n4. Test quartiles\'s value | Age - <PASSED>\n5. Test calculates descriptive statistics for Total Spent - <PASSED>\n6. Test quartiles\'s value | Total Spent (USD) - <PASSED>\n7. calculates correlation coefficient - <PASSED>', '2024-08-21 05:45:51', '2024-08-21 05:45:51'),
+	(305, 36, 9, './public/submissions/answer_bab3_percobaan5.py', NULL, 1, '## BAB 3 | Percobaan 5\n\n1. Test Memuat Data - <PASSED>\n2. Test Calculates Mean - <PASSED>\n3. Test Calculates Median - <PASSED>\n4. Test Calculates Mode - <PASSED>', '2024-08-21 05:46:13', '2024-08-21 05:46:21'),
+	(306, 36, 10, './public/submissions/answer_bab4_percobaan1.py', NULL, 1, '## BAB 4 | Percobaan 1\n\n1. Test Memuat Data - <PASSED>\nGet Population Column - <PASSED>\nGet Age Group Column - <PASSED>\nCheck Pie Chart - <PASSED>', '2024-08-21 05:46:49', '2024-08-21 05:47:03'),
+	(307, 37, 1, './public/submissions/answer_bab1_percobaan1.py', NULL, 1, '## BAB 1 | Percobaan 1\n\n1. Test Memuat Data - <PASSED>', '2024-08-21 05:48:55', '2024-08-21 05:48:59'),
+	(308, 37, 2, './public/submissions/answer_bab1_percobaan2.py', NULL, 1, '## BAB 1 | Percobaan 2\n\n1. Test Memuat Data  - <PASSED>\n2. Test Fungsi sample_rows() - <PASSED>', '2024-08-21 05:49:17', '2024-08-21 05:49:21'),
+	(309, 37, 4, './public/submissions/answer_bab2_percobaan3.py', NULL, 1, '## BAB 2 | Percobaan 3\n\n1. Test Memuat Data - <PASSED>\n3. Test Mengisi Nilai yang Hilang  - <PASSED>', '2024-08-21 05:49:56', '2024-08-21 05:50:11'),
+	(310, 37, 6, './public/submissions/answer_bab3_percobaan2.py', NULL, 1, '## BAB 3 | Percobaan 2\n\n1. Test Memuat Data - <PASSED>\n2. Test Fungsi head_rows() - <PASSED>\n3. Test Membuat Kolom Revenue  - <PASSED>\n4. Test Nilai Variabel total_pendapatan - <PASSED>', '2024-08-21 05:52:21', '2024-08-21 05:52:32'),
+	(311, 37, 7, './public/submissions/answer_bab3_percobaan3.py', NULL, 1, '## BAB 3 | Percobaan 3\n\n1. Test Memuat Data - <PASSED>\n2. Test Critic_Score Conversion - <PASSED>\n2. Test Create Variable top_10_movies - <PASSED>', '2024-08-21 05:52:52', '2024-08-21 05:52:59'),
+	(312, 37, 8, './public/submissions/answer_bab3_percobaan4.py', NULL, 1, '## BAB 3 | Percobaan 4\n\n1. Test Memuat Data - <PASSED>\n2. TestShow First Five Rows - <PASSED>\n3. Test calculates descriptive statistics for Customer Age - <PASSED>\n4. Test quartiles\'s value | Age - <PASSED>\n5. Test calculates descriptive statistics for Total Spent - <PASSED>\n6. Test quartiles\'s value | Total Spent (USD) - <PASSED>\n7. calculates correlation coefficient - <PASSED>', '2024-08-21 05:53:13', '2024-08-21 05:53:37'),
+	(313, 37, 9, './public/submissions/answer_bab3_percobaan5.py', NULL, 1, '## BAB 3 | Percobaan 5\n\n1. Test Memuat Data - <PASSED>\n2. Test Calculates Mean - <PASSED>\n3. Test Calculates Median - <PASSED>\n4. Test Calculates Mode - <PASSED>', '2024-08-21 05:53:57', '2024-08-21 05:54:06'),
+	(314, 37, 10, './public/submissions/answer_bab4_percobaan1.py', NULL, 1, '## BAB 4 | Percobaan 1\n\n1. Test Memuat Data - <PASSED>\nGet Population Column - <PASSED>\nGet Age Group Column - <PASSED>\nCheck Pie Chart - <PASSED>', '2024-08-21 05:54:34', '2024-08-21 05:54:47'),
+	(315, 38, 1, './public/submissions/answer_bab1_percobaan1.py', NULL, 1, '## BAB 1 | Percobaan 1\n\n1. Test Memuat Data - <PASSED>', '2024-08-21 05:56:21', '2024-08-21 05:56:24'),
+	(316, 38, 2, './public/submissions/answer_bab1_percobaan2.py', NULL, 1, '## BAB 1 | Percobaan 2\n\n1. Test Memuat Data  - <PASSED>\n2. Test Fungsi sample_rows() - <PASSED>', '2024-08-21 05:56:37', '2024-08-21 05:56:41'),
+	(317, 38, 4, './public/submissions/answer_bab2_percobaan3.py', NULL, 1, '## BAB 2 | Percobaan 3\n\n1. Test Memuat Data - <PASSED>\n3. Test Mengisi Nilai yang Hilang  - <PASSED>', '2024-08-21 05:57:24', '2024-08-21 05:57:38'),
+	(318, 38, 5, './public/submissions/answer_bab3_percobaan1.py', NULL, 1, '## BAB 3 | Percobaan 1\n\n1. Test Dimensi Array- - <PASSED>\n2. Test Pemotongan Array- - <PASSED>\n3. Test Tipe Hasil Pemotongan Array- - <PASSED>', '2024-08-21 05:58:04', '2024-08-21 05:58:04'),
+	(319, 38, 6, './public/submissions/answer_bab3_percobaan2.py', NULL, 1, '## BAB 3 | Percobaan 2\n\n1. Test Memuat Data - <PASSED>\n2. Test Fungsi head_rows() - <PASSED>\n3. Test Membuat Kolom Revenue  - <PASSED>\n4. Test Nilai Variabel total_pendapatan - <PASSED>', '2024-08-21 05:58:15', '2024-08-21 05:58:25'),
+	(320, 38, 7, './public/submissions/answer_bab3_percobaan3.py', NULL, 1, '## BAB 3 | Percobaan 3\n\n1. Test Memuat Data - <PASSED>\n2. Test Critic_Score Conversion - <PASSED>\n2. Test Create Variable top_10_movies - <PASSED>', '2024-08-21 05:58:37', '2024-08-21 05:58:44'),
+	(321, 38, 8, './public/submissions/answer_bab3_percobaan4.py', NULL, 1, '## BAB 3 | Percobaan 4\n\n1. Test Memuat Data - <PASSED>\n2. TestShow First Five Rows - <PASSED>\n3. Test calculates descriptive statistics for Customer Age - <PASSED>\n4. Test quartiles\'s value | Age - <PASSED>\n5. Test calculates descriptive statistics for Total Spent - <PASSED>\n6. Test quartiles\'s value | Total Spent (USD) - <PASSED>\n7. calculates correlation coefficient - <PASSED>', '2024-08-21 05:59:07', '2024-08-21 05:59:32'),
+	(322, 38, 9, './public/submissions/answer_bab3_percobaan5.py', NULL, 1, '## BAB 3 | Percobaan 5\n\n1. Test Memuat Data - <PASSED>\n2. Test Calculates Mean - <PASSED>\n3. Test Calculates Median - <PASSED>\n4. Test Calculates Mode - <PASSED>', '2024-08-21 05:59:54', '2024-08-21 06:00:02'),
+	(323, 38, 10, './public/submissions/answer_bab4_percobaan1.py', NULL, 1, '## BAB 4 | Percobaan 1\n\n1. Test Memuat Data - <PASSED>\nGet Population Column - <PASSED>\nGet Age Group Column - <PASSED>\nCheck Pie Chart - <PASSED>', '2024-08-21 06:00:29', '2024-08-21 06:00:43'),
+	(324, 39, 1, './public/submissions/answer_bab1_percobaan1.py', NULL, 1, '## BAB 1 | Percobaan 1\n\n1. Test Memuat Data - <PASSED>', '2024-08-21 06:01:54', '2024-08-21 06:01:57'),
+	(325, 39, 2, './public/submissions/answer_bab1_percobaan2.py', NULL, 1, '## BAB 1 | Percobaan 2\n\n1. Test Memuat Data  - <PASSED>\n2. Test Fungsi sample_rows() - <PASSED>', '2024-08-21 06:02:14', '2024-08-21 06:02:18'),
+	(326, 39, 4, './public/submissions/answer_bab2_percobaan3.py', NULL, 1, '## BAB 2 | Percobaan 3\n\n1. Test Memuat Data - <PASSED>\n3. Test Mengisi Nilai yang Hilang  - <PASSED>', '2024-08-21 06:02:38', '2024-08-21 06:02:51'),
+	(327, 39, 5, './public/submissions/answer_bab3_percobaan1.py', NULL, 1, '## BAB 3 | Percobaan 1\n\n1. Test Dimensi Array- - <PASSED>\n2. Test Pemotongan Array- - <PASSED>\n3. Test Tipe Hasil Pemotongan Array- - <PASSED>', '2024-08-21 06:04:22', '2024-08-21 06:04:23'),
+	(328, 39, 6, './public/submissions/answer_bab3_percobaan2.py', NULL, 1, '## BAB 3 | Percobaan 2\n\n1. Test Memuat Data - <PASSED>\n2. Test Fungsi head_rows() - <PASSED>\n3. Test Membuat Kolom Revenue  - <PASSED>\n4. Test Nilai Variabel total_pendapatan - <PASSED>', '2024-08-21 06:04:49', '2024-08-21 06:04:59'),
+	(329, 39, 7, './public/submissions/answer_bab3_percobaan3.py', NULL, 1, '## BAB 3 | Percobaan 3\n\n1. Test Memuat Data - <PASSED>\n2. Test Critic_Score Conversion - <PASSED>\n2. Test Create Variable top_10_movies - <PASSED>', '2024-08-21 06:05:47', '2024-08-21 06:05:54'),
+	(330, 39, 8, './public/submissions/answer_bab3_percobaan4.py', NULL, 1, '## BAB 3 | Percobaan 4\n\n1. Test Memuat Data - <PASSED>\n2. TestShow First Five Rows - <PASSED>\n3. Test calculates descriptive statistics for Customer Age - <PASSED>\n4. Test quartiles\'s value | Age - <PASSED>\n5. Test calculates descriptive statistics for Total Spent - <PASSED>\n6. Test quartiles\'s value | Total Spent (USD) - <PASSED>\n7. calculates correlation coefficient - <PASSED>', '2024-08-21 06:06:14', '2024-08-21 06:06:37'),
+	(331, 39, 9, './public/submissions/answer_bab3_percobaan5.py', NULL, 1, '## BAB 3 | Percobaan 5\n\n1. Test Memuat Data - <PASSED>\n2. Test Calculates Mean - <PASSED>\n3. Test Calculates Median - <PASSED>\n4. Test Calculates Mode - <PASSED>', '2024-08-21 06:06:57', '2024-08-21 06:07:05'),
+	(332, 39, 10, './public/submissions/answer_bab4_percobaan1.py', NULL, 1, '## BAB 4 | Percobaan 1\n\n1. Test Memuat Data - <PASSED>\nGet Population Column - <PASSED>\nGet Age Group Column - <PASSED>\nCheck Pie Chart - <PASSED>', '2024-08-21 06:07:30', '2024-08-21 06:07:43'),
+	(333, 40, 1, './public/submissions/answer_bab1_percobaan1.py', NULL, 1, '## BAB 1 | Percobaan 1\n\n1. Test Memuat Data - <PASSED>', '2024-08-21 06:09:02', '2024-08-21 06:09:05'),
+	(334, 40, 2, './public/submissions/answer_bab1_percobaan2.py', NULL, 1, '## BAB 1 | Percobaan 2\n\n1. Test Memuat Data  - <PASSED>\n2. Test Fungsi sample_rows() - <PASSED>', '2024-08-21 06:09:25', '2024-08-21 06:09:29'),
+	(335, 40, 4, './public/submissions/answer_bab2_percobaan3.py', NULL, 1, '## BAB 2 | Percobaan 3\n\n1. Test Memuat Data - <PASSED>\n3. Test Mengisi Nilai yang Hilang  - <PASSED>', '2024-08-21 06:10:17', '2024-08-21 06:10:31'),
+	(336, 40, 5, './public/submissions/answer_bab3_percobaan1.py', NULL, 1, '## BAB 3 | Percobaan 1\n\n1. Test Dimensi Array- - <PASSED>\n2. Test Pemotongan Array- - <PASSED>\n3. Test Tipe Hasil Pemotongan Array- - <PASSED>', '2024-08-21 06:11:04', '2024-08-21 06:11:05'),
+	(337, 40, 6, './public/submissions/answer_bab3_percobaan2.py', NULL, 1, '## BAB 3 | Percobaan 2\n\n1. Test Memuat Data - <PASSED>\n2. Test Fungsi head_rows() - <PASSED>\n3. Test Membuat Kolom Revenue  - <PASSED>\n4. Test Nilai Variabel total_pendapatan - <PASSED>', '2024-08-21 06:11:18', '2024-08-21 06:11:29'),
+	(338, 40, 7, './public/submissions/answer_bab3_percobaan3.py', NULL, 1, '## BAB 3 | Percobaan 3\n\n1. Test Memuat Data - <PASSED>\n2. Test Critic_Score Conversion - <PASSED>\n2. Test Create Variable top_10_movies - <PASSED>', '2024-08-21 06:11:43', '2024-08-21 06:11:49'),
+	(339, 40, 8, './public/submissions/answer_bab3_percobaan4.py', NULL, 1, '## BAB 3 | Percobaan 4\n\n1. Test Memuat Data - <PASSED>\n2. TestShow First Five Rows - <PASSED>\n3. Test calculates descriptive statistics for Customer Age - <PASSED>\n4. Test quartiles\'s value | Age - <PASSED>\n5. Test calculates descriptive statistics for Total Spent - <PASSED>\n6. Test quartiles\'s value | Total Spent (USD) - <PASSED>\n7. calculates correlation coefficient - <PASSED>', '2024-08-21 06:12:19', '2024-08-21 06:12:45'),
+	(340, 40, 9, './public/submissions/answer_bab3_percobaan5.py', NULL, 1, '## BAB 3 | Percobaan 5\n\n1. Test Memuat Data - <PASSED>\n2. Test Calculates Mean - <PASSED>\n3. Test Calculates Median - <PASSED>\n4. Test Calculates Mode - <PASSED>', '2024-08-21 06:13:01', '2024-08-21 06:13:09'),
+	(341, 40, 10, './public/submissions/answer_bab4_percobaan1.py', NULL, 1, '## BAB 4 | Percobaan 1\n\n1. Test Memuat Data - <PASSED>\nGet Population Column - <PASSED>\nGet Age Group Column - <PASSED>\nCheck Pie Chart - <PASSED>', '2024-08-21 06:13:55', '2024-08-21 06:14:07'),
+	(342, 41, 1, './public/submissions/answer_bab1_percobaan1.py', NULL, 1, '## BAB 1 | Percobaan 1\n\n1. Test Memuat Data - <PASSED>', '2024-08-21 06:16:12', '2024-08-21 06:16:15'),
+	(343, 41, 2, './public/submissions/answer_bab1_percobaan2.py', NULL, 1, '## BAB 1 | Percobaan 2\n\n1. Test Memuat Data  - <PASSED>\n2. Test Fungsi sample_rows() - <PASSED>', '2024-08-21 06:16:39', '2024-08-21 06:16:43'),
+	(344, 41, 4, './public/submissions/answer_bab2_percobaan3.py', NULL, 1, '## BAB 2 | Percobaan 3\n\n1. Test Memuat Data - <PASSED>\n3. Test Mengisi Nilai yang Hilang  - <PASSED>', '2024-08-21 06:17:12', '2024-08-21 06:17:24'),
+	(345, 41, 5, './public/submissions/answer_bab3_percobaan1.py', NULL, 1, '## BAB 3 | Percobaan 1\n\n1. Test Dimensi Array- - <PASSED>\n2. Test Pemotongan Array- - <PASSED>\n3. Test Tipe Hasil Pemotongan Array- - <PASSED>', '2024-08-21 06:18:05', '2024-08-21 06:18:05'),
+	(346, 41, 6, './public/submissions/answer_bab3_percobaan2.py', NULL, 1, '## BAB 3 | Percobaan 2\n\n1. Test Memuat Data - <PASSED>\n2. Test Fungsi head_rows() - <PASSED>\n3. Test Membuat Kolom Revenue  - <PASSED>\n4. Test Nilai Variabel total_pendapatan - <PASSED>', '2024-08-21 06:18:24', '2024-08-21 06:18:34'),
+	(347, 41, 7, './public/submissions/answer_bab3_percobaan3.py', NULL, 1, '## BAB 3 | Percobaan 3\n\n1. Test Memuat Data - <PASSED>\n2. Test Critic_Score Conversion - <PASSED>\n2. Test Create Variable top_10_movies - <PASSED>', '2024-08-21 06:18:50', '2024-08-21 06:18:56'),
+	(348, 41, 8, './public/submissions/answer_bab3_percobaan4.py', NULL, 1, '## BAB 3 | Percobaan 4\n\n1. Test Memuat Data - <PASSED>\n2. TestShow First Five Rows - <PASSED>\n3. Test calculates descriptive statistics for Customer Age - <PASSED>\n4. Test quartiles\'s value | Age - <PASSED>\n5. Test calculates descriptive statistics for Total Spent - <PASSED>\n6. Test quartiles\'s value | Total Spent (USD) - <PASSED>\n7. calculates correlation coefficient - <PASSED>', '2024-08-21 06:19:18', '2024-08-21 06:19:44'),
+	(349, 41, 9, './public/submissions/answer_bab3_percobaan5.py', NULL, 1, '## BAB 3 | Percobaan 5\n\n1. Test Memuat Data - <PASSED>\n2. Test Calculates Mean - <PASSED>\n3. Test Calculates Median - <PASSED>\n4. Test Calculates Mode - <PASSED>', '2024-08-21 06:20:26', '2024-08-21 06:20:35'),
+	(350, 41, 10, './public/submissions/answer_bab4_percobaan1.py', NULL, 1, '## BAB 4 | Percobaan 1\n\n1. Test Memuat Data - <PASSED>\nGet Population Column - <PASSED>\nGet Age Group Column - <PASSED>\nCheck Pie Chart - <PASSED>', '2024-08-21 06:22:27', '2024-08-21 06:22:39'),
+	(351, 42, 1, './public/submissions/answer_bab1_percobaan1.py', NULL, 1, '## BAB 1 | Percobaan 1\n\n1. Test Memuat Data - <PASSED>', '2024-08-21 06:24:19', '2024-08-21 06:24:23'),
+	(352, 42, 2, './public/submissions/answer_bab1_percobaan2.py', NULL, 1, '## BAB 1 | Percobaan 2\n\n1. Test Memuat Data  - <PASSED>\n2. Test Fungsi sample_rows() - <PASSED>', '2024-08-21 06:27:22', '2024-08-21 06:27:26'),
+	(353, 42, 5, './public/submissions/answer_bab3_percobaan1.py', NULL, 1, '## BAB 3 | Percobaan 1\n\n1. Test Dimensi Array- - <PASSED>\n2. Test Pemotongan Array- - <PASSED>\n3. Test Tipe Hasil Pemotongan Array- - <PASSED>', '2024-08-21 06:27:55', '2024-08-21 06:27:55'),
+	(354, 42, 6, './public/submissions/answer_bab3_percobaan2.py', NULL, 1, '## BAB 3 | Percobaan 2\n\n1. Test Memuat Data - <PASSED>\n2. Test Fungsi head_rows() - <PASSED>\n3. Test Membuat Kolom Revenue  - <PASSED>\n4. Test Nilai Variabel total_pendapatan - <PASSED>', '2024-08-21 06:28:07', '2024-08-21 06:28:17'),
+	(355, 42, 7, './public/submissions/answer_bab3_percobaan3.py', NULL, 1, '## BAB 3 | Percobaan 3\n\n1. Test Memuat Data - <PASSED>\n2. Test Critic_Score Conversion - <PASSED>\n2. Test Create Variable top_10_movies - <PASSED>', '2024-08-21 06:28:33', '2024-08-21 06:28:39'),
+	(356, 42, 8, './public/submissions/answer_bab3_percobaan4.py', NULL, 1, '## BAB 3 | Percobaan 4\n\n1. Test Memuat Data - <PASSED>\n2. TestShow First Five Rows - <PASSED>\n3. Test calculates descriptive statistics for Customer Age - <PASSED>\n4. Test quartiles\'s value | Age - <PASSED>\n5. Test calculates descriptive statistics for Total Spent - <PASSED>\n6. Test quartiles\'s value | Total Spent (USD) - <PASSED>\n7. calculates correlation coefficient - <PASSED>', '2024-08-21 06:29:01', '2024-08-21 06:29:01'),
+	(357, 42, 9, './public/submissions/answer_bab3_percobaan5.py', NULL, 1, '## BAB 3 | Percobaan 5\n\n1. Test Memuat Data - <PASSED>\n2. Test Calculates Mean - <PASSED>\n3. Test Calculates Median - <PASSED>\n4. Test Calculates Mode - <PASSED>', '2024-08-21 06:29:22', '2024-08-21 06:29:29'),
+	(358, 42, 10, './public/submissions/answer_bab4_percobaan1.py', NULL, 1, '## BAB 4 | Percobaan 1\n\n1. Test Memuat Data - <PASSED>\nGet Population Column - <PASSED>\nGet Age Group Column - <PASSED>\nCheck Pie Chart - <PASSED>', '2024-08-21 06:29:56', '2024-08-21 06:30:06'),
+	(359, 43, 1, './public/submissions/answer_bab1_percobaan1.py', NULL, 1, '## BAB 1 | Percobaan 1\n\n1. Test Memuat Data - <PASSED>', '2024-08-21 06:31:20', '2024-08-21 06:31:24'),
+	(360, 43, 2, './public/submissions/answer_bab1_percobaan2.py', NULL, 1, '## BAB 1 | Percobaan 2\n\n1. Test Memuat Data  - <PASSED>\n2. Test Fungsi sample_rows() - <PASSED>', '2024-08-21 06:31:48', '2024-08-21 06:31:52'),
+	(361, 43, 4, './public/submissions/answer_bab2_percobaan3.py', NULL, 1, '## BAB 2 | Percobaan 3\n\n1. Test Memuat Data - <PASSED>\n3. Test Mengisi Nilai yang Hilang  - <PASSED>', '2024-08-21 06:32:30', '2024-08-21 06:32:30'),
+	(362, 43, 5, './public/submissions/answer_bab3_percobaan1.py', NULL, 1, '## BAB 3 | Percobaan 1\n\n1. Test Dimensi Array- - <PASSED>\n2. Test Pemotongan Array- - <PASSED>\n3. Test Tipe Hasil Pemotongan Array- - <PASSED>', '2024-08-21 06:33:00', '2024-08-21 06:33:01'),
+	(363, 43, 6, './public/submissions/answer_bab3_percobaan2.py', NULL, 1, '## BAB 3 | Percobaan 2\n\n1. Test Memuat Data - <PASSED>\n2. Test Fungsi head_rows() - <PASSED>\n3. Test Membuat Kolom Revenue  - <PASSED>\n4. Test Nilai Variabel total_pendapatan - <PASSED>', '2024-08-21 06:33:15', '2024-08-21 06:33:25'),
+	(364, 43, 7, './public/submissions/answer_bab3_percobaan3.py', NULL, 1, '## BAB 3 | Percobaan 3\n\n1. Test Memuat Data - <PASSED>\n2. Test Critic_Score Conversion - <PASSED>\n2. Test Create Variable top_10_movies - <PASSED>', '2024-08-21 06:33:40', '2024-08-21 06:33:46'),
+	(365, 43, 8, './public/submissions/answer_bab3_percobaan4.py', NULL, 1, '## BAB 3 | Percobaan 4\n\n1. Test Memuat Data - <PASSED>\n2. TestShow First Five Rows - <PASSED>\n3. Test calculates descriptive statistics for Customer Age - <PASSED>\n4. Test quartiles\'s value | Age - <PASSED>\n5. Test calculates descriptive statistics for Total Spent - <PASSED>\n6. Test quartiles\'s value | Total Spent (USD) - <PASSED>\n7. calculates correlation coefficient - <PASSED>', '2024-08-21 06:34:01', '2024-08-21 06:34:26'),
+	(366, 43, 9, './public/submissions/answer_bab3_percobaan5.py', NULL, 1, '## BAB 3 | Percobaan 5\n\n1. Test Memuat Data - <PASSED>\n2. Test Calculates Mean - <PASSED>\n3. Test Calculates Median - <PASSED>\n4. Test Calculates Mode - <PASSED>', '2024-08-21 06:34:50', '2024-08-21 06:34:57'),
+	(367, 43, 10, './public/submissions/answer_bab4_percobaan1.py', NULL, 1, '## BAB 4 | Percobaan 1\n\n1. Test Memuat Data - <PASSED>\nGet Population Column - <PASSED>\nGet Age Group Column - <PASSED>\nCheck Pie Chart - <PASSED>', '2024-08-21 06:35:29', '2024-08-21 06:35:40'),
+	(368, 44, 1, './public/submissions/answer_bab1_percobaan1.py', NULL, 1, '## BAB 1 | Percobaan 1\n\n1. Test Memuat Data - <PASSED>', '2024-08-21 06:37:26', '2024-08-21 06:37:29'),
+	(369, 44, 2, './public/submissions/answer_bab1_percobaan2.py', NULL, 1, '## BAB 1 | Percobaan 2\n\n1. Test Memuat Data  - <PASSED>\n2. Test Fungsi sample_rows() - <PASSED>', '2024-08-21 06:37:40', '2024-08-21 06:37:44'),
+	(370, 44, 4, './public/submissions/answer_bab2_percobaan3.py', NULL, 1, '## BAB 2 | Percobaan 3\n\n1. Test Memuat Data - <PASSED>\n3. Test Mengisi Nilai yang Hilang  - <PASSED>', '2024-08-21 06:38:12', '2024-08-21 06:38:25'),
+	(371, 44, 5, './public/submissions/answer_bab3_percobaan1.py', NULL, 1, '## BAB 3 | Percobaan 1\n\n1. Test Dimensi Array- - <PASSED>\n2. Test Pemotongan Array- - <PASSED>\n3. Test Tipe Hasil Pemotongan Array- - <PASSED>', '2024-08-21 06:39:01', '2024-08-21 06:39:01'),
+	(372, 44, 6, './public/submissions/answer_bab3_percobaan2.py', NULL, 1, '## BAB 3 | Percobaan 2\n\n1. Test Memuat Data - <PASSED>\n2. Test Fungsi head_rows() - <PASSED>\n3. Test Membuat Kolom Revenue  - <PASSED>\n4. Test Nilai Variabel total_pendapatan - <PASSED>', '2024-08-21 06:39:14', '2024-08-21 06:39:27'),
+	(373, 44, 7, './public/submissions/answer_bab3_percobaan3.py', NULL, 1, '## BAB 3 | Percobaan 3\n\n1. Test Memuat Data - <PASSED>\n2. Test Critic_Score Conversion - <PASSED>\n2. Test Create Variable top_10_movies - <PASSED>', '2024-08-21 06:39:41', '2024-08-21 06:39:47'),
+	(374, 44, 8, './public/submissions/answer_bab3_percobaan4.py', NULL, 1, '## BAB 3 | Percobaan 4\n\n1. Test Memuat Data - <PASSED>\n2. TestShow First Five Rows - <PASSED>\n3. Test calculates descriptive statistics for Customer Age - <PASSED>\n4. Test quartiles\'s value | Age - <PASSED>\n5. Test calculates descriptive statistics for Total Spent - <PASSED>\n6. Test quartiles\'s value | Total Spent (USD) - <PASSED>\n7. calculates correlation coefficient - <PASSED>', '2024-08-21 06:40:26', '2024-08-21 06:40:51'),
+	(375, 44, 9, './public/submissions/answer_bab3_percobaan5.py', NULL, 1, '## BAB 3 | Percobaan 5\n\n1. Test Memuat Data - <PASSED>\n2. Test Calculates Mean - <PASSED>\n3. Test Calculates Median - <PASSED>\n4. Test Calculates Mode - <PASSED>', '2024-08-21 06:41:26', '2024-08-21 06:41:34'),
+	(376, 44, 10, './public/submissions/answer_bab4_percobaan1.py', NULL, 1, '## BAB 4 | Percobaan 1\n\n1. Test Memuat Data - <PASSED>\nGet Population Column - <PASSED>\nGet Age Group Column - <PASSED>\nCheck Pie Chart - <PASSED>', '2024-08-21 06:41:59', '2024-08-21 06:42:11'),
+	(377, 45, 1, './public/submissions/answer_bab1_percobaan1.py', NULL, 1, '## BAB 1 | Percobaan 1\n\n1. Test Memuat Data - <PASSED>', '2024-08-21 06:43:52', '2024-08-21 06:43:56'),
+	(378, 45, 2, './public/submissions/answer_bab1_percobaan2.py', NULL, 1, '## BAB 1 | Percobaan 2\n\n1. Test Memuat Data  - <PASSED>\n2. Test Fungsi sample_rows() - <PASSED>', '2024-08-21 06:44:12', '2024-08-21 06:44:17'),
+	(379, 45, 4, './public/submissions/answer_bab2_percobaan3.py', NULL, 1, '## BAB 2 | Percobaan 3\n\n1. Test Memuat Data - <PASSED>\n3. Test Mengisi Nilai yang Hilang  - <PASSED>', '2024-08-21 06:44:45', '2024-08-21 06:44:58'),
+	(380, 45, 5, './public/submissions/answer_bab3_percobaan1.py', NULL, 1, '## BAB 3 | Percobaan 1\n\n1. Test Dimensi Array- - <PASSED>\n2. Test Pemotongan Array- - <PASSED>\n3. Test Tipe Hasil Pemotongan Array- - <PASSED>', '2024-08-21 06:45:26', '2024-08-21 06:45:26'),
+	(381, 45, 6, './public/submissions/answer_bab3_percobaan2.py', NULL, 1, '## BAB 3 | Percobaan 2\n\n1. Test Memuat Data - <PASSED>\n2. Test Fungsi head_rows() - <PASSED>\n3. Test Membuat Kolom Revenue  - <PASSED>\n4. Test Nilai Variabel total_pendapatan - <PASSED>', '2024-08-21 06:45:40', '2024-08-21 06:45:49'),
+	(382, 45, 7, './public/submissions/answer_bab3_percobaan3.py', NULL, 1, '## BAB 3 | Percobaan 3\n\n1. Test Memuat Data - <PASSED>\n2. Test Critic_Score Conversion - <PASSED>\n2. Test Create Variable top_10_movies - <PASSED>', '2024-08-21 06:46:13', '2024-08-21 06:46:19'),
+	(383, 45, 8, './public/submissions/answer_bab3_percobaan4.py', NULL, 2, '## BAB 3 | Percobaan 4\n\n1. Test Memuat Data - <PASSED>\n2. TestShow First Five Rows - <PASSED>\n3. Test calculates descriptive statistics for Customer Age - <PASSED>\n4. Test quartiles\'s value | Age - <PASSED>\n5. Test calculates descriptive statistics for Total Spent - <PASSED>\n6. Test quartiles\'s value | Total Spent (USD) - <PASSED>\n7. calculates correlation coefficient - <PASSED>', '2024-08-21 06:46:34', '2024-08-21 06:47:25'),
+	(384, 45, 9, './public/submissions/answer_bab3_percobaan5.py', NULL, 1, '## BAB 3 | Percobaan 5\n\n1. Test Memuat Data - <PASSED>\n2. Test Calculates Mean - <PASSED>\n3. Test Calculates Median - <PASSED>\n4. Test Calculates Mode - <PASSED>', '2024-08-21 06:49:04', '2024-08-21 06:49:12'),
+	(385, 45, 10, './public/submissions/answer_bab4_percobaan1.py', NULL, 1, '## BAB 4 | Percobaan 1\n\n1. Test Memuat Data - <PASSED>\nGet Population Column - <PASSED>\nGet Age Group Column - <PASSED>\nCheck Pie Chart - <PASSED>', '2024-08-21 06:49:31', '2024-08-21 06:49:42'),
+	(386, 46, 1, './public/submissions/answer_bab1_percobaan1.py', NULL, 1, '## BAB 1 | Percobaan 1\n\n1. Test Memuat Data - <PASSED>', '2024-08-21 06:51:23', '2024-08-21 06:51:27'),
+	(387, 46, 2, './public/submissions/answer_bab1_percobaan2.py', NULL, 1, '## BAB 1 | Percobaan 2\n\n1. Test Memuat Data  - <PASSED>\n2. Test Fungsi sample_rows() - <PASSED>', '2024-08-21 06:51:40', '2024-08-21 06:51:43'),
+	(388, 46, 4, './public/submissions/answer_bab2_percobaan3.py', NULL, 1, '## BAB 2 | Percobaan 3\n\n1. Test Memuat Data - <PASSED>\n3. Test Mengisi Nilai yang Hilang  - <PASSED>', '2024-08-21 06:52:07', '2024-08-21 06:52:20'),
+	(389, 46, 5, './public/submissions/answer_bab3_percobaan1.py', NULL, 1, '## BAB 3 | Percobaan 1\n\n1. Test Dimensi Array- - <PASSED>\n2. Test Pemotongan Array- - <PASSED>\n3. Test Tipe Hasil Pemotongan Array- - <PASSED>', '2024-08-21 06:53:05', '2024-08-21 06:53:06'),
+	(390, 46, 6, './public/submissions/answer_bab3_percobaan2.py', NULL, 1, '## BAB 3 | Percobaan 2\n\n1. Test Memuat Data - <PASSED>\n2. Test Fungsi head_rows() - <PASSED>\n3. Test Membuat Kolom Revenue  - <PASSED>\n4. Test Nilai Variabel total_pendapatan - <PASSED>', '2024-08-21 06:53:18', '2024-08-21 06:53:29'),
+	(391, 46, 7, './public/submissions/answer_bab3_percobaan3.py', NULL, 1, '## BAB 3 | Percobaan 3\n\n1. Test Memuat Data - <PASSED>\n2. Test Critic_Score Conversion - <PASSED>\n2. Test Create Variable top_10_movies - <PASSED>', '2024-08-21 06:54:00', '2024-08-21 06:54:07'),
+	(392, 46, 8, './public/submissions/answer_bab3_percobaan4.py', NULL, 1, '## BAB 3 | Percobaan 4\n\n1. Test Memuat Data - <PASSED>\n2. TestShow First Five Rows - <PASSED>\n3. Test calculates descriptive statistics for Customer Age - <PASSED>\n4. Test quartiles\'s value | Age - <PASSED>\n5. Test calculates descriptive statistics for Total Spent - <PASSED>\n6. Test quartiles\'s value | Total Spent (USD) - <PASSED>\n7. calculates correlation coefficient - <PASSED>', '2024-08-21 06:54:24', '2024-08-21 06:54:48'),
+	(393, 46, 9, './public/submissions/answer_bab3_percobaan5.py', NULL, 1, '## BAB 3 | Percobaan 5\n\n1. Test Memuat Data - <PASSED>\n2. Test Calculates Mean - <PASSED>\n3. Test Calculates Median - <PASSED>\n4. Test Calculates Mode - <PASSED>', '2024-08-21 06:55:02', '2024-08-21 06:55:09'),
+	(394, 46, 10, './public/submissions/answer_bab4_percobaan1.py', NULL, 1, '## BAB 4 | Percobaan 1\n\n1. Test Memuat Data - <PASSED>\nGet Population Column - <PASSED>\nGet Age Group Column - <PASSED>\nCheck Pie Chart - <PASSED>', '2024-08-21 06:55:45', '2024-08-21 06:56:31'),
+	(395, 47, 4, './public/submissions/answer_bab2_percobaan3.py', NULL, 2, '## BAB 2 | Percobaan 3\n\n1. Test Memuat Data - <PASSED>\n   Kesalahan: ====> Error pada update_data(); Terdapat Typo pada kode function: name \'updated_df\' is not defined\n3. Test Mengisi Nilai yang Hilang  - <FAILED>', '2024-08-23 16:18:12', '2024-08-23 16:22:23'),
+	(396, 3, 4, './public/submissions/answer_chapter2_experiments3.py', NULL, 4, '## Chapter 2 | Experiments 3\n\n1. Loading Data Test - <PASSED>\n2. Filling The Missing Value Test - <FAILED>\n   ERROR: ====> Error in update_data(); Typo in the function code: name \'updated_df\' is not defined', '2024-09-19 07:50:29', '2024-09-19 17:59:18'),
+	(397, 3, 10, './public/submissions/answer_chapter4_experiments1.py', NULL, 1, '## Chapter 4 | Experiments 1\n\n1. Test Loading Data - <PASSED>\nGet Population Column - <PASSED>\nGet Age Group Column - <PASSED>\nCheck Pie Chart - <PASSED>', '2024-09-20 09:27:38', '2024-09-20 09:27:59'),
+	(398, 48, 1, './public/submissions/answer_chapter1_experiments1.py', NULL, 1, '## Chapter 1 | Experiments 1\n\n1. Load Data Test - <PASSED>', '2024-10-16 21:25:43', '2024-10-16 21:25:51'),
+	(399, 48, 2, './public/submissions/answer_chapter1_experiments2.py', NULL, 1, '## Chapter 1 | Experiments 2\n\n1. Load Data Test  - <PASSED>\n2. sample_rows() Function Test - <PASSED>', '2024-10-16 21:26:17', '2024-10-16 21:26:20');
+/*!40000 ALTER TABLE `student_submissions` ENABLE KEYS */;
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+  `project_id` bigint(20) unsigned NOT NULL,
+  `type` enum('file','url') COLLATE utf8mb4_unicode_ci NOT NULL,
+  `path` varchar(255) COLLATE utf8mb4_unicode_ci NOT NULL COMMENT 'The path to the file or the url',
+  `status` enum('pending','processing','completed','failed') COLLATE utf8mb4_unicode_ci NOT NULL,
+  `results` json DEFAULT NULL COMMENT 'The results of the submission',
+  `attempts` int(11) NOT NULL DEFAULT '1' COMMENT 'The number of attempts to process the submission',
+  `start` timestamp NULL DEFAULT NULL,
+  `end` timestamp NULL DEFAULT NULL,
+  `port` int(11) DEFAULT NULL COMMENT 'The port number of the submission',
+  `created_at` timestamp NULL DEFAULT NULL,
+  `updated_at` timestamp NULL DEFAULT NULL,
+  PRIMARY KEY (`id`),
+  KEY `submissions_user_id_foreign` (`user_id`),
+  KEY `submissions_project_id_foreign` (`project_id`),
+  CONSTRAINT `submissions_project_id_foreign` FOREIGN KEY (`project_id`) REFERENCES `projects` (`id`) ON DELETE CASCADE,
+  CONSTRAINT `submissions_user_id_foreign` FOREIGN KEY (`user_id`) REFERENCES `users` (`id`) ON DELETE CASCADE
+) ENGINE=InnoDB DEFAULT CHARSET=utf8mb4 COLLATE=utf8mb4_unicode_ci;
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+  `id` bigint(20) unsigned NOT NULL AUTO_INCREMENT,
+  `submission_id` bigint(20) unsigned NOT NULL,
+  `user_id` bigint(20) unsigned NOT NULL,
+  `project_id` bigint(20) unsigned NOT NULL,
+  `type` enum('file','url') COLLATE utf8mb4_unicode_ci NOT NULL,
+  `path` varchar(255) COLLATE utf8mb4_unicode_ci NOT NULL COMMENT 'The path to the file or the url',
+  `status` enum('pending','processing','completed','failed') COLLATE utf8mb4_unicode_ci NOT NULL,
+  `results` json DEFAULT NULL COMMENT 'The results of the submission',
+  `attempts` int(11) NOT NULL,
+  `start` timestamp NULL DEFAULT NULL,
+  `end` timestamp NULL DEFAULT NULL,
+  `port` int(11) DEFAULT NULL COMMENT 'The port number of the submission',
+  `description` text COLLATE utf8mb4_unicode_ci COMMENT 'The description of the submission',
+  `created_at` timestamp NULL DEFAULT NULL,
+  `updated_at` timestamp NULL DEFAULT NULL,
+  PRIMARY KEY (`id`),
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+  KEY `submission_histories_user_id_foreign` (`user_id`),
+  KEY `submission_histories_project_id_foreign` (`project_id`),
+  CONSTRAINT `submission_histories_project_id_foreign` FOREIGN KEY (`project_id`) REFERENCES `projects` (`id`) ON DELETE CASCADE,
+  CONSTRAINT `submission_histories_submission_id_foreign` FOREIGN KEY (`submission_id`) REFERENCES `submissions` (`id`) ON DELETE CASCADE,
+  CONSTRAINT `submission_histories_user_id_foreign` FOREIGN KEY (`user_id`) REFERENCES `users` (`id`) ON DELETE CASCADE
+) ENGINE=InnoDB DEFAULT CHARSET=utf8mb4 COLLATE=utf8mb4_unicode_ci;
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+  `id` bigint(20) unsigned NOT NULL AUTO_INCREMENT,
+  `material_id` bigint(20) unsigned NOT NULL,
+  `task_name` varchar(255) COLLATE utf8mb4_unicode_ci DEFAULT NULL,
+  `pdf_path` varchar(255) COLLATE utf8mb4_unicode_ci DEFAULT NULL,
+  `created_at` timestamp NULL DEFAULT NULL,
+  `updated_at` timestamp NULL DEFAULT NULL,
+  PRIMARY KEY (`id`),
+  KEY `tasks_material_id_foreign` (`material_id`),
+  CONSTRAINT `tasks_material_id_foreign` FOREIGN KEY (`material_id`) REFERENCES `materials` (`id`) ON DELETE CASCADE
+) ENGINE=InnoDB AUTO_INCREMENT=11 DEFAULT CHARSET=utf8mb4 COLLATE=utf8mb4_unicode_ci;
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+INSERT INTO `tasks` (`id`, `material_id`, `task_name`, `pdf_path`, `created_at`, `updated_at`) VALUES
+	(1, 1, 'Loading Data from CSV using URL', 'Data_analitik_chapter1_Experiments1.pdf', '2024-08-07 14:16:05', '2024-08-07 14:16:06'),
+	(2, 1, 'Displaying Online Store Product Data', 'Data_analitik_chapter1_Experiments2.pdf', '2024-08-07 14:16:41', '2024-08-07 14:16:43'),
+	(3, 2, 'Data Cleaning on NYC Housing Data', 'Data_analitik_chapter2_Experiments2.pdf', '2024-08-07 14:17:29', '2024-08-07 14:17:30'),
+	(4, 2, 'Filling Missing Values ​​in the Calories Column', 'Data_analitik_chapter2_Experiments3.pdf', '2024-08-07 14:19:49', '2024-08-07 14:19:53'),
+	(5, 3, 'Retrieving Specific Product Sales Data', 'Data_analitik_chapter3_Experiments1.pdf', '2024-08-07 14:20:34', '2024-08-07 14:24:29'),
+	(6, 3, 'Calculating Total Product Revenue', 'Data_analitik_chapter3_Experiments2.pdf', '2024-08-07 14:21:03', '2024-08-07 14:24:29'),
+	(7, 3, 'Analyzing movie dataset to find Top 10 movies', 'Data_analitik_chapter3_Experiments3.pdf', '2024-08-07 14:21:31', '2024-08-07 14:24:30'),
+	(8, 3, 'Analysis of Customer Age and Total Expenditure', 'Data_analitik_chapter3_Experiments4.pdf', '2024-08-07 14:23:08', '2024-08-07 14:24:30'),
+	(9, 3, 'Electronic Sales Analysis: Understanding Sales Trends Through Measures of Central Tendency', 'Data_analitik_chapter3_Experiments5.pdf', '2024-08-07 14:23:44', '2024-08-07 14:24:31'),
+	(10, 4, 'Analysis of Population Age Distribution in a City', 'Data_analitik_chapter4_Experiments1.pdf', '2024-08-07 14:24:27', '2024-08-07 14:24:31');
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+  `file_name` varchar(255) COLLATE utf8mb4_unicode_ci NOT NULL,
+  `created_at` timestamp NULL DEFAULT NULL,
+  `updated_at` timestamp NULL DEFAULT NULL,
+  PRIMARY KEY (`id`)
+) ENGINE=InnoDB DEFAULT CHARSET=utf8mb4 COLLATE=utf8mb4_unicode_ci;
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+  `id` bigint(20) unsigned NOT NULL AUTO_INCREMENT,
+  `google_id` bigint(20) DEFAULT NULL,
+  `name` varchar(255) COLLATE utf8mb4_unicode_ci NOT NULL,
+  `email` varchar(255) COLLATE utf8mb4_unicode_ci NOT NULL,
+  `email_verified_at` timestamp NULL DEFAULT NULL,
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+  `created_at` timestamp NULL DEFAULT NULL,
+  `updated_at` timestamp NULL DEFAULT NULL,
+  PRIMARY KEY (`id`),
+  UNIQUE KEY `users_email_unique` (`email`)
+) ENGINE=InnoDB AUTO_INCREMENT=49 DEFAULT CHARSET=utf8mb4 COLLATE=utf8mb4_unicode_ci;
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+INSERT INTO `users` (`id`, `google_id`, `name`, `email`, `email_verified_at`, `role`, `password`, `teacher`, `remember_token`, `created_at`, `updated_at`) VALUES
+	(1, NULL, 'Noora', 'noora20fairy@gmail.com', '2024-08-04 19:48:56', 'student', '$2y$10$TVg35iSKJ6InmzPO3y0sO.ahlIqD3uIcgwMxOVTCsGo6Jp8wx6ys2', 'Yan Watequlis Syaifudin', NULL, '2024-08-03 06:58:31', '2024-08-07 06:58:31'),
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+	(9, NULL, 'Rofika Nur \'Aini', 'rofikanuraini30@gmail.com', '2024-08-05 13:12:11', '', '$2y$10$7Z6ub09CZ/OyHE0OtT2zP.fRYV2L3MiunKJYZ8xnm24VfbJn/w7HW', 'Yan Watequlis Syaifudin', NULL, '2024-08-05 11:44:38', '2024-08-05 11:44:38'),
+	(10, NULL, 'Amalia Nuraini', 'amalianuraini10@gmail.com', '2024-08-05 13:45:48', '', '$2y$10$dOlHviHqbdZDB1NYfOzvzeL0dNyp0IKsugsH7CpKHF5ZeSGDRzWaG', 'Yan Watequlis Syaifudin', NULL, '2024-08-05 12:02:43', '2024-08-05 12:02:43'),
+	(11, NULL, 'Akhmadheta Hafid Prasetyawan', 'akhmadheta097@gmail.com', '2024-08-05 14:18:27', '', '$2y$10$o8RZXMQFvnaqZaPN4Wc1.uiq7F1b0oM/utbXiuboP.Skh4BTVOnB6', 'Yan Watequlis Syaifudin', NULL, '2024-08-05 12:04:39', '2024-08-05 12:04:39'),
+	(12, NULL, 'Deatrisya Mirela Harahap', 'mirelldee47@gmail.com', '2024-08-05 14:50:25', '', '$2y$10$C9YNcBJPtrU78O97K9zmw.4AQ2vZ9EiKbXdFhOUeAaTmphPH8by3q', 'Yan Watequlis Syaifudin', NULL, '2024-08-05 12:05:56', '2024-08-05 12:05:56'),
+	(13, NULL, 'Chan Paul Amol', 'chan4172@gmail.com', '2024-08-05 15:25:33', '', '$2y$10$8HQJNWHrmnDX7yKaeKY68eiZ0scKuYWMosfG8ZZfYJppyz2DheUru', 'Yan Watequlis Syaifudin', NULL, '2024-08-05 12:09:20', '2024-08-05 12:09:20'),
+	(14, NULL, 'Elvira Sania Mufida', 'elvirasaniamufida@gmail.com', '2024-08-05 16:00:51', '', '$2y$10$237aA4ce4xvXFplyTwoRqOjPfvGOsr8MAo6gj1ogOHU13Cw0eRdhS', 'Yan Watequlis Syaifudin', NULL, '2024-08-05 12:11:01', '2024-08-05 12:11:01'),
+	(15, NULL, 'Eva Monika Septiana', 'evamonika99p@gmail.com', '2024-08-05 16:35:41', '', '$2y$10$tNKVYCnAI9Xb9mqKdeUFFucq6qFTQ94Jruan1OgI8/d4TB9rPu27i', 'Yan Watequlis Syaifudin', NULL, '2024-08-05 12:12:35', '2024-08-05 12:12:35'),
+	(16, NULL, 'FAHREZA PRIMA HAKIM', 'fahreza.prima@gmail.com', '2024-08-05 17:00:32', '', '$2y$10$fY1d2Hm4JIdsRd37xtXMPu33t/La9.hO5pMH6Yu0SfWKpZDiDTsOm', 'Yan Watequlis Syaifudin', NULL, '2024-08-05 12:15:28', '2024-08-05 12:15:28'),
+	(17, NULL, 'Khofifah Amanda', 'khofifahamanda04@gmail.com', '2024-08-06 23:13:56', '', '$2y$10$Y4CEFiNPfHlzvsEMxQg5x.rLfLU/g78Lz4hc4qbn78yBTIJypw/fS', 'Pramana Yoga Syaputra', NULL, '2024-08-19 16:02:27', '2024-08-19 16:02:27'),
+	(18, NULL, 'Maulana Bintang I.', 'maulanabintang6621@gmail.com', '2024-08-06 23:13:57', '', '$2y$10$7XcX4ObZ5MvsPJGXmRm.YeyZBBwQ96BBiYRTCKCNHJN1zg1SJoJIq', 'Yan Watequlis Syaifudin', NULL, '2024-08-19 16:04:29', '2024-08-19 16:04:29'),
+	(19, NULL, 'Mochammad Hairullah', 'vegetarianalami@gmail.com', '2024-08-06 23:13:57', '', '$2y$10$6hWvparS5r24UThEms1yR.JJMgSwtKxu3BhZFYIo.E7jpPT15ebd.', 'Yan Watequlis Syaifudin', NULL, '2024-08-19 16:05:43', '2024-08-19 16:05:43'),
+	(20, NULL, 'M. Thosin Yuhaililul Hilmi', 'thosinnhilmi@gmail.com', '2024-08-06 23:13:58', '', '$2y$10$gDCoLj2lMRWsgIOqkCr6OOqMw81YzWGfJpJnmVGkkGJeUnE0Xk3Om', 'Pramana Yoga Syaputra', NULL, '2024-08-19 16:06:35', '2024-08-19 16:06:35'),
+	(21, NULL, 'Iftitah Hidayati', 'hidayatiiftitah@gmail.com', '2024-08-06 23:13:59', '', '$2y$10$w5TOa26azP2tO2RhLv55oOGvh6rJ2cIWnD/zCYDTUosbn6kKOCuaq', 'Yan Watequlis Syaifudin', NULL, '2024-08-19 16:08:33', '2024-08-19 16:08:33'),
+	(22, NULL, 'Hilda Khoirotul Hidayah', 'hildakh07@gmail.com', '2024-08-06 23:13:59', '', '$2y$10$nNzTaHWt7JCrxtV9BrlWMurebIe7tx6etq/HnGMu6RsCxxb3uqN.q', 'Yan Watequlis Syaifudin', NULL, '2024-08-19 16:09:38', '2024-08-19 16:09:38'),
+	(23, NULL, 'Muhammad Ilham El Hakim', 'ilhamelhakim6@gmail.com', '2024-08-06 23:14:00', '', '$2y$10$Dc4dYNIBYxHOkUQUt38CnOTqOz1CfxZZHI1vQWNfExDWw3AbEFPLa', 'Yan Watequlis Syaifudin', NULL, '2024-08-19 16:10:22', '2024-08-19 16:10:22'),
+	(24, NULL, 'Ibnu Khalis Rabbani', 'ibnukhalisr@gmail.com', '2024-08-06 23:14:00', '', '$2y$10$bRJdcqtb/WYciSTgjZi5M.ggEvN7TsdbP1Ve1yGy6PDi5kMFV6ODG', 'Yan Watequlis Syaifudin', NULL, '2024-08-19 16:12:45', '2024-08-19 16:12:45'),
+	(25, NULL, 'Annisa Fitri Yuliandra', 'annisafitryyuliandra@gmail.com', '2024-08-06 23:14:01', '', '$2y$10$u2yJ1bpBkhuzpQtgGavD6e/ink4r2EWRrdoDWRm574A/5pkvm96uS', 'Yan Watequlis Syaifudin', NULL, '2024-08-19 16:13:28', '2024-08-19 16:13:28'),
+	(26, NULL, 'Rabiatul Fitra Aulia', 'auliafitra2002@gmail.com', '2024-08-07 23:36:55', '', '$2y$10$R1PddO7SThq.duFi5bpoie9Yj8BsnLsLi7J5gJdTkXcCVWTxG0Po.', 'Yan Watequlis Syaifudin', NULL, '2024-08-19 16:24:51', '2024-08-19 16:24:51'),
+	(27, NULL, 'Neha Viranica Nauly', '20020828neha@gmail.com', '2024-08-07 23:36:56', '', '$2y$10$iJ.xWGwjnW4nz7ktggHFQuzkXODZWzVmhT6ESPhcqaXoAYsNGgOlu', 'Yan Watequlis Syaifudin', NULL, '2024-08-19 16:26:20', '2024-08-19 16:26:20'),
+	(28, NULL, 'Shine Devi Oktaviana Ronix Syah Putri', 'shinedevi02@gmail.com', '2024-08-07 23:36:57', '', '$2y$10$2dZaaVj1TVIYVyrjn3byvO8N5zQH6rkzHE.LRmHCY9kVv.B4L.gUK', 'Yan Watequlis Syaifudin', NULL, '2024-08-19 16:27:38', '2024-08-19 16:27:38'),
+	(29, NULL, 'Ahmad Farrel Sirajudin Zaidan', 'farrel.ahmad.zaidan@gmail.com', '2024-08-07 23:36:57', '', '$2y$10$xC3.V7UA/9dLOHl91jahdeLsoWXEpy9f4Fdt/o14yAw.YgzQA7Cny', 'Yan Watequlis Syaifudin', NULL, '2024-08-19 16:28:21', '2024-08-19 16:28:21'),
+	(30, NULL, 'Andre Maulana Mustofa', 'andremm73@gmail.com', '2024-08-07 23:37:01', '', '$2y$10$tyUnBMAJVPqn016nmmNaU.myVccGNP7j5snAefJ7hpoRSMBXVnYL2', 'Yan Watequlis Syaifudin', NULL, '2024-08-19 16:29:20', '2024-08-19 16:29:20'),
+	(31, NULL, 'Abdulilah Ali Qaid Al-shabany', 'alshabanyabdulilah2001@gmail.com', '2024-08-07 23:37:02', '', '$2y$10$vDg8.Hk2C.FDRPcCZktPhultxYZLZbdt52qKVP6v8GIgGPu6kPKjO', 'Yan Watequlis Syaifudin', NULL, '2024-08-19 16:36:28', '2024-08-19 16:36:28'),
+	(32, NULL, 'Atmayanti', 'mayablue74@gmail.com', '2024-08-08 23:47:28', '', '$2y$10$aLvYYvQ3CpIvgoDJ3WBmKeJuDZ1riqjs/Ys3Hb.B.Mk2Vm1GQkbNS', 'Yan Watequlis Syaifudin', NULL, '2024-08-19 16:38:46', '2024-08-19 16:38:46'),
+	(33, NULL, 'Della Jannata Febiana', 'dellajannatatie@gmail.com', '2024-08-08 23:47:29', '', '$2y$10$9T8UbJKA8/a5ENk.jU1gnu4akmoyftnRnuBP7yOkTTUORI0CBkVhK', 'Yan Watequlis Syaifudin', NULL, '2024-08-19 16:41:13', '2024-08-19 16:41:13'),
+	(34, NULL, 'Dherisma Hanindita Utami', 'dherismautami@gmail.com', '2024-08-08 23:47:30', '', '$2y$10$jYFcbA7QhH44sYW1KHar9OvMHKcDHIMtw2lydwf9a0M0nJdpS66Ym', 'Yan Watequlis Syaifudin', NULL, '2024-08-19 16:42:00', '2024-08-19 16:42:00'),
+	(35, NULL, 'farah zulfa hamidah', 'zulfafara1@gmail.com', '2024-08-08 23:47:31', '', '$2y$10$PvrDmNgBM.xOUd68stUm5Oz5EJADu7U3PoACi5Uz5ftCM0SFpwL/e', 'Yan Watequlis Syaifudin', NULL, '2024-08-19 16:43:42', '2024-08-19 16:43:42'),
+	(36, NULL, 'Lelyta salsabila', 'salsabilalelyta@gmail.com', '2024-08-09 00:33:10', '', '$2y$10$qBPf4QujGPSHoaFGOYKpWeD8BNaVArbnFTa5BYAUD7Ob7CGUvgqQ2', 'Yan Watequlis Syaifudin', NULL, '2024-08-19 16:49:52', '2024-08-19 16:49:52'),
+	(37, NULL, 'Mohammad Izamul Fikri Fahmi', 'fikriizamul@gmail.com', '2024-08-09 00:33:11', '', '$2y$10$trz0aMoOYyQ3bGXDYIxuDeaIL03.FQmRpJKa544yVbc5dDJbnt53C', 'Yan Watequlis Syaifudin', NULL, '2024-08-19 17:27:59', '2024-08-19 17:27:59'),
+	(38, NULL, 'Hafidz Irwan M', 'lefet313@gmail.com', '2024-08-09 00:33:11', '', '$2y$10$Nt7Rjt9OTixP721TnitgX.fzWXVZ36uRP1yGNBWZdn8713a2djzMm', 'Yan Watequlis Syaifudin', NULL, '2024-08-19 17:30:31', '2024-08-19 17:30:31'),
+	(39, NULL, 'Hanif Widyantoro', 'hnfwidian@gmail.com', '2024-08-09 00:34:56', '', '$2y$10$GFvgRwPnNw8XVhYSD6O04eQWRClyFTOOoL2eY0BEqDYGD7PeZZjt2', 'Yan Watequlis Syaifudin', NULL, '2024-08-19 17:32:51', '2024-08-19 17:32:51'),
+	(40, NULL, 'Izzatun Nauly', 'naulizzatun159@gmail.com', '2024-08-09 00:34:57', '', '$2y$10$hzuplKiU7WZnH0ynbJVox.P01AgtIJgJx7DV10uGS1YnZby4z5OPa', 'Pramana Yoga Syaputra', NULL, '2024-08-19 17:34:44', '2024-08-19 17:34:44'),
+	(41, NULL, 'Nanda Shabrina Putri Kurnia', 'nandaashabrina2604@gmail.com', '2024-08-10 00:43:28', '', '$2y$10$VwpTpPz2E8YsxuHWcxfDJO2jbqp7bc6Tq5q/Fb.VZjdjbMDwGjKp6', 'Yan Watequlis Syaifudin', NULL, '2024-08-19 17:38:24', '2024-08-19 17:38:24'),
+	(42, NULL, 'Alifiyul Akyun', 'alifiyulakyun1@gmail.com', '2024-08-10 00:46:38', '', '$2y$10$9VVAqPa0fOYq/kn8AsKMpeq4bxtsP5MqacEb59l0d/hsNezD3aQmm', 'Yan Watequlis Syaifudin', NULL, '2024-08-19 17:43:14', '2024-08-19 17:43:14'),
+	(43, NULL, 'Salwa Zhafira Pratiwi Wahyudi', 'salwapw04@gmail.com', '2024-08-11 00:46:39', '', '$2y$10$7H7efRYEAkP3s0h0.0177O7utDJJ.MYgV0Lfh.engmo.k6CWDBXY2', 'Yan Watequlis Syaifudin', NULL, '2024-08-19 17:45:43', '2024-08-19 17:45:43'),
+	(44, NULL, 'Nurlaily Asrobika', 'asrobika01@gmail.com', '2024-08-11 00:51:24', '', '$2y$10$8mKRgA6LvQoKYdg2bhtJyOC5hW621//OG11HKcjMG5FRCPcFeOrIy', 'Yan Watequlis Syaifudin', NULL, '2024-08-19 17:46:26', '2024-08-19 17:46:26'),
+	(45, NULL, 'Yoby Ryaian Pratama', 'yobir231@gmail.com', '2024-08-12 00:51:30', '', '$2y$10$fwMxAe/QPIi.VnM5eYLT6eh2I1D75s.2ofIX9TnsTfNtTt4LywLzS', 'Yan Watequlis Syaifudin', NULL, '2024-08-19 17:49:12', '2024-08-19 17:49:12'),
+	(46, NULL, 'Yaldika Putra Sinaga', 'yaldikaimagine@gmail.com', '2024-08-12 00:51:31', '', '$2y$10$ozSVNmlEjS1gd4IeEbG6z.SzlVVOWU4lkrec3SCGWyPqDRmPmf9XS', 'Yan Watequlis Syaifudin', NULL, '2024-08-12 00:51:31', '2024-08-12 00:51:31'),
+	(47, NULL, 'sintia', 'sintia20@gmail.com', NULL, '', '$2y$10$CV1l6m/ev09L9D1G7Dexr.7/CMY2Oi.rSvBjkl.YINQqdPv9LWR3.', 'Yan Watequlis Syaifudin', NULL, '2024-08-23 16:17:00', '2024-08-23 16:17:00'),
+	(48, NULL, 'Noora Aulia', 'noora20@gmail.com', NULL, '', '$2y$10$5KqLpzylLAtoRACdHWDGwujUI2GXVuVHHrq6p6zDH/29sQCBRuk36', 'Yan Watequlis Syaifudin', NULL, '2024-10-16 21:24:23', '2024-10-16 21:24:23');
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spring_boot_flutter_testing

@@ -0,0 +1 @@
+Subproject commit 6f399b6f536f48732597f4eeba177dc1ec0f48b3

tes.txt

@@ -1 +0,0 @@
-tes