<jupyter_start><jupyter_text>Try to determine average number of years experience of programmers from 'YearsCode' column.<jupyter_code># df['YearsCode'].mean()

# TypeError: can only concatenate str (not "int") to str
# df['YearsCode'] = df['YearsCode'].astype(float)

# ValueError: could not convert string to float: 'Less than 1 year'
df['YearsCode'].unique()
df['YearsCode'].replace('Less than 1 year', 0, inplace=True)
df['YearsCode'].replace('More than 50 years', 51, inplace=True)
df['YearsCode'].unique()
df['YearsCode'] = df['YearsCode'].astype(float)
df['YearsCode'].mean()
df['YearsCode'].median()<jupyter_output><empty_output>
{'fraction_non_alphanumeric': 0.17138364779874213, 'fraction_numerical': 0.0110062893081761, 'mean_word_length': 7.971830985915493, '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': '19638', 'license': 'MIT', 'n_tokens_mistral': 225, 'n_tokens_neox': 215, 'n_words': 54, 'path': '09 Cleaning Data/Stack_Overflow_2019_Survey.ipynb', 'repo_name': 'Karthikraja-Pandian/Pandas', 'size': '636'}