p2

WS24_25/PyCharm/pythonProject/P2/cvsToJson.py

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+import json
+
+
+def csv_to_json(input_file: str, output_file: str):
+    data = []
+
+    # Step 1: Read the CSV file manually
+    with open(input_file, 'r') as file:
+        lines = file.readlines()
+
+    # Step 2: Parse the first line to get the headers
+    headers = lines[0].strip().split(';')
+
+    # Step 3: Parse the subsequent lines to get the data
+    for line in lines[1:]:
+        values = line.strip().split(';')
+        # Create a dictionary for each row
+        row_dict = {headers[i]: values[i] for i in range(len(headers))}
+        data.append(row_dict)
+
+    # Step 4: Save the data to a JSON file
+    with open(output_file, 'w') as json_file:
+        json.dump(data, json_file, indent=4)
+
+
+# Usage
+input_csv_file = 'AmesHousing.csv'
+output_json_file = 'AmesHousing.json'
+csv_to_json(input_csv_file, output_json_file)

WS24_25/PyCharm/pythonProject/P2/summary.py

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+import pandas as pd
+
+
+def summarize_csv(file_path: str):
+    # Step 1: Load the CSV file using pandas
+    df = pd.read_csv(file_path, delimiter=';')
+
+    # Step 2: Print general information about the data
+    print("Data Info:")
+    print(df.info())
+
+    # Step 3: Print statistical summary of the numerical columns
+    print("\nStatistical Summary:")
+    print(df.describe())
+
+
+# Usage
+input_csv_file = 'AmesHousing.csv'
+summarize_csv(input_csv_file)