<jupyter_start><jupyter_text>0.0 Download_data<jupyter_code>%load_ext autoreload
%autoreload 2<jupyter_output><empty_output><jupyter_text>Libraries<jupyter_code>import final_project.utils.paths as path
import janitor
import matplotlib.pyplot as plt
import pandas as pd
import seaborn as sns<jupyter_output><empty_output><jupyter_text>Specify input and output files<jupyter_code>covid_url = "https://raw.githubusercontent.com/CSSEGISandData/COVID-19/master/csse_covid_19_data/csse_covid_19_time_series/time_series_covid19_confirmed_global.csv"

covid_file = path.data_raw_dir("time_series_covid19_confirmed_global.csv")
!curl {covid_url} - o {covid_file}<jupyter_output>curl: option -: is unknown
curl: try 'curl --help' or 'curl --manual' for more information
{'fraction_non_alphanumeric': 0.09354413702239789, 'fraction_numerical': 0.017127799736495388, 'mean_word_length': 9.133333333333333, 'pattern_counts': {'":': 0, '<': 12, '<?xml version=': 0, '>': 12, 'https://': 1, 'lorem ipsum': 0, 'www.': 0, 'xml': 0}, 'pii_count': 0, 'substrings_counts': 0, 'word_list_counts': {'cursed_substrings.json': 1, 'profanity_word_list.json': 0, 'sexual_word_list.json': 0, 'zh_pornsignals.json': 0}}
{'chain_length': '3', 'dir': 'jupyter-structured-clean-dedup', 'id': '640198', 'license': 'MIT', 'n_tokens_mistral': 301, 'n_tokens_neox': 284, 'n_words': 46, 'path': 'notebooks/0.0-daric-download_data.ipynb', 'repo_name': 'DavidMena-Q/Final-Project-environment-data-science', 'size': '759'}