<jupyter_start><jupyter_text>_Exercises taken from Pandas for Everyone_The goal of this notebook is to introduce Pandas using the [Gapminder data](https://www.gapminder.org/data/)A copy of the data is available in this [code repo](./data/gapminder.tsv) 1- Load the dataset in the notebook<jupyter_code>import pandas as pd
data = pd.read_csv("data/gapminder.tsv", sep='\t')
data.head() # show five entries<jupyter_output><empty_output>
{'fraction_non_alphanumeric': 0.10829493087557604, 'fraction_numerical': 0.002304147465437788, 'mean_word_length': 5.904761904761905, 'pattern_counts': {'":': 0, '<': 5, '<?xml version=': 0, '>': 5, 'https://': 1, 'lorem ipsum': 0, 'www.': 1, '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': '142002', 'license': 'MIT', 'n_tokens_mistral': 149, 'n_tokens_neox': 144, 'n_words': 45, 'path': '14-workout-blank_dataframe_and_series.ipynb', 'repo_name': 'hanisaf/advanced-data-management-and-analytics', 'size': '434'}