<jupyter_start><jupyter_text>Exercise 1[link to questions](https://docs.google.com/document/d/e/2PACX-1vT1sZijt9pLy1onBOldMMl7D5r_SU0-L_cBFJFnaURWZViQCkR2bBeDXrX4-itESqC7-2nYPW8G9vA7/pub)<jupyter_code>import pandas as pd
df1 = pd.read_stata('http://www.stata-press.com/data/r11/auto.dta')
df1
# complete the rest of this exercise<jupyter_output><empty_output><jupyter_text>Exercise 2<jupyter_code>import pandas as pd
df2 = pd.read_stata('http://www.stata-press.com/data/r11/reshape1.dta')
df2
# complete the rest of this exercise<jupyter_output><empty_output>
{'fraction_non_alphanumeric': 0.1252236135957066, 'fraction_numerical': 0.046511627906976744, 'mean_word_length': 7.484848484848484, 'pattern_counts': {'":': 0, '<': 9, '<?xml version=': 0, '>': 9, 'https://': 1, 'lorem ipsum': 0, 'www.': 2, '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': '2', 'dir': 'jupyter-structured-clean-dedup', 'id': '85321', 'license': 'Apache-2.0', 'n_tokens_mistral': 264, 'n_tokens_neox': 253, 'n_words': 29, 'path': '_notebooks/2020-08-16-URECA-exercises.ipynb', 'repo_name': 'fscheong/ureca', 'size': '559'}