a lot

y-prof.py

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+import pandas as pd
+import seaborn as sns
+from ydata_profiling import ProfileReport
+import pyreadr
+
+
+
+# result = pyreadr.read_r("./data/datasaurus_dozen.rda")
+# result.keys()
+
+# df = list(result.values())[0]
+# df.head()
+
+
+# profile = ProfileReport(df, title="Datasaurus Dataset Profile", explorative=True)
+# profile.to_file("datasaurus_profile_report.html")
+
+
+# exit()
+
+# Load the penguins dataset
+df = sns.load_dataset("penguins")
+
+csv_path = 'dataset_D_git_classroom_activity_v2.csv'  # or D/E/F
+df_raw = pd.read_csv(csv_path, dtype=str)
+
+
+
+# Display basic info about the dataset
+print("Dataset shape:", df.shape)
+print("\nFirst 5 rows:")
+print(df_raw.head())
+# Generate and save the profile report
+profile = ProfileReport(df_raw, title="Indie Games Telemetry Dataset Profile", explorative=True)
+profile.to_file("git_profile_report.html")
+print("\nProfile report saved as 'penguins_profile_report.html'")
+print("Open this file in a web browser to view the detailed analysis.")