<jupyter_start><jupyter_text>geom_jitter() for discrete variables<jupyter_code>import pandas as pd

from lets_plot import *
LetsPlot.setup_html()
df = pd.read_csv('https://raw.githubusercontent.com/JetBrains/lets-plot-docs/master/data/mpg.csv')
ggplot(df, aes('fl', 'drv')) + geom_jitter(width=.3, height=.3)<jupyter_output><empty_output>
{'fraction_non_alphanumeric': 0.15680473372781065, 'fraction_numerical': 0.005917159763313609, 'mean_word_length': 7.921052631578948, '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': '147357', 'license': 'MIT', 'n_tokens_mistral': 138, 'n_tokens_neox': 130, 'n_words': 18, 'path': 'source/examples/basics/gog/geom_jitter_dd.ipynb', 'repo_name': 'JetBrains/lets-plot-docs', 'size': '338'}