<jupyter_start><jupyter_text>Keeping Validation Set<jupyter_code>df_test = pd.read_csv(f'{PATH}test.csv')
len_test = len(df_test)
df_test.describe()
df_raw.describe()
for col, ser in df_raw.items():
    if ser.dtype.name == 'category':
        ser.value_counts().plot(kind='bar')
        plt.show()
df_raw.Sex.value_counts().plot(kind='bar')<jupyter_output><empty_output>
{'fraction_non_alphanumeric': 0.16711590296495957, 'fraction_numerical': 0.0, 'mean_word_length': 5.763636363636364, 'pattern_counts': {'":': 0, '<': 5, '<?xml version=': 0, '>': 5, 'https://': 0, 'lorem ipsum': 0, 'www.': 0, 'xml': 0}, 'pii_count': 0, 'substrings_counts': 0, 'word_list_counts': {'cursed_substrings.json': 0, 'profanity_word_list.json': 0, 'sexual_word_list.json': 0, 'zh_pornsignals.json': 0}}
{'chain_length': '1', 'dir': 'jupyter-structured-clean-dedup', 'id': '256126', 'license': 'MIT', 'n_tokens_mistral': 151, 'n_tokens_neox': 147, 'n_words': 19, 'path': 'notebooks/Titanic.ipynb', 'repo_name': 'PuneethaPai/KaggleSubmissions', 'size': '371'}