<jupyter_start><jupyter_text>Exploring Latitude Excell Sheet<jupyter_code>import pandas as pd
sheets = pd.read_excel('http://s3.amazonaws.com/assets.datacamp.com/course/importing_data_into_r/latitude.xls', sheet_name=None)
sheets.keys()
for key in sheets.keys():
  print(sheets[key].head())<jupyter_output>country       1700
0            Afghanistan  34.565000
1  Akrotiri and Dhekelia  34.616667
2                Albania  41.312000
3                Algeria  36.720000
4         American Samoa -14.307000
                 country       1900
0            Afghanistan  34.565000
1  Akrotiri and Dhekelia  34.616667
2                Albania  41.312000
3                Algeria  36.720000
4         American Samoa -14.307000
{'fraction_non_alphanumeric': 0.075, 'fraction_numerical': 0.1375, 'mean_word_length': 2.2477477477477477, 'pattern_counts': {'":': 0, '<': 4, '<?xml version=': 0, '>': 4, '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': '101935', 'license': 'MIT', 'n_tokens_mistral': 303, 'n_tokens_neox': 249, 'n_words': 55, 'path': 'Exploring_latitude_excell_sheet.ipynb', 'repo_name': 'VictorOmondi1997/Exploring_latitude_excel_sheet', 'size': '720'}