<jupyter_start><jupyter_text>Data Explorernteract has a built-in way to visualize data frames dynamically.We call it the **Data Explorer**.To get started with it quickly, you'll need to import pandas and enable their `display.html.table_schema` mode:<jupyter_code>import pandas as pd
from vdom import pre

pd.options.display.html.table_schema = True # Data Explorer On!
pd.options.display.max_rows = None # Send all the data! (careful!)<jupyter_output><empty_output><jupyter_text>Now we can load in data and visualize it quickly.<jupyter_code>df = pd.read_csv(
  "https://gist.githubusercontent.com/rgbkrk/a7984a8788a73e2afb8fd4b89c8ec6de/raw/db8d1db9f878ed448c3cac3eb3c9c0dc5e80891e/2015.csv"
)<jupyter_output><empty_output><jupyter_text>To get started with this data set, lets look at just one region. Click on the bar chart icon on the right of the graphic to get started, then try changing the metric being looked at.<jupyter_code>display(pre("Note: This data is sampled"))
df<jupyter_output><empty_output>
{'fraction_non_alphanumeric': 0.08415841584158416, 'fraction_numerical': 0.040594059405940595, 'mean_word_length': 6.4338235294117645, 'pattern_counts': {'":': 0, '<': 13, '<?xml version=': 0, '>': 13, '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': '3', 'dir': 'jupyter-structured-clean-dedup', 'id': '140629', 'license': 'BSD-3-Clause', 'n_tokens_mistral': 367, 'n_tokens_neox': 339, 'n_words': 102, 'path': 'python/happiness.ipynb', 'repo_name': 'choldgraf/examples', 'size': '1010'}