<jupyter_start><jupyter_text><jupyter_code>from google.colab import data_table
data_table.enable_dataframe_formatter()

from google.colab import data_table
import urllib

from vega_datasets import data

def import_url(URL):
  urllib.open(URL).read in globals()
  URL ='https://github.com/anyangi/colab/blob/main/vegas_dataset'

cars = data.cars()

cars<jupyter_output><empty_output>
{'fraction_non_alphanumeric': 0.10471204188481675, 'fraction_numerical': 0.0, 'mean_word_length': 6.816326530612245, 'pattern_counts': {'":': 0, '<': 5, '<?xml version=': 0, '>': 5, 'https://': 1, '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': '43418', 'license': 'MIT', 'n_tokens_mistral': 148, 'n_tokens_neox': 142, 'n_words': 25, 'path': 'vegas_cars.ipynb', 'repo_name': 'anyangi/colab', 'size': '382'}