<jupyter_start><jupyter_text>EDA on US Accidents dataset (3 million records) Using opendatasets library to download dataset from [Kaggle](https://www.kaggle.com/sobhanmoosavi/us-accidents)<jupyter_code>!pip install opendatasets --upgrade --quiet
import opendatasets as od

download_url = "https://www.kaggle.com/sobhanmoosavi/us-accidents"

od.download(download_url)
import pandas as pd
import seaborn as sns
import zipfile
data = pd.read_csv("us-accidents/US_Accidents_Dec20_Updated.csv")<jupyter_output><empty_output>
{'fraction_non_alphanumeric': 0.1001926782273603, 'fraction_numerical': 0.005780346820809248, 'mean_word_length': 6.878787878787879, 'pattern_counts': {'":': 0, '<': 5, '<?xml version=': 0, '>': 5, 'https://': 2, 'lorem ipsum': 0, 'www.': 2, 'xml': 0}, 'pii_count': 0, 'substrings_counts': 0, 'word_list_counts': {'cursed_substrings.json': 4, 'profanity_word_list.json': 0, 'sexual_word_list.json': 0, 'zh_pornsignals.json': 0}}
{'chain_length': '1', 'dir': 'jupyter-structured-clean-dedup', 'id': '129515', 'license': 'MIT', 'n_tokens_mistral': 191, 'n_tokens_neox': 184, 'n_words': 39, 'path': 'US Accidents/us-accidents-eda.ipynb', 'repo_name': 'ltoco/EDA-repo', 'size': '519'}