<jupyter_start><jupyter_text>Cumulative Wikipedia Donations==============================This chart shows cumulative donations to Wikipedia over the past 10 years.his chart was inspired by this [reddit post](https://www.reddit.com/r/dataisbeautiful/comments/7guwd0/cumulative_wikimedia_donations_over_the_past_10/) but using lines instead of areas.Data comes from https://frdata.wikimedia.org/.<jupyter_code>import altair as alt
alt.data_transformers.enable('json')

data = "https://frdata.wikimedia.org/donationdata-vs-day.csv"

alt.Chart(data).mark_line().encode(
    alt.X(
        'date:T', timeUnit='monthdate',
        axis=alt.Axis(format='%B', title='Month')
    ),
    alt.Y(
        'max(ytdsum):Q', stack=None,
        axis=alt.Axis(title='Cumulative Donations')
    ),
    alt.Color('date:O', timeUnit='year', legend=alt.Legend(title='Year')),
    alt.Order('data:O', timeUnit='year')
)<jupyter_output><empty_output>
{'fraction_non_alphanumeric': 0.17564655172413793, 'fraction_numerical': 0.00646551724137931, 'mean_word_length': 5.1118421052631575, 'pattern_counts': {'":': 0, '<': 5, '<?xml version=': 0, '>': 5, 'https://': 3, 'lorem ipsum': 0, 'www.': 1, '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': '311582', 'license': 'BSD-3-Clause', 'n_tokens_mistral': 314, 'n_tokens_neox': 305, 'n_words': 53, 'path': 'notebooks/examples/cumulative_wiki_donations.ipynb', 'repo_name': 'pydatawrangler/altair_notebooks', 'size': '928'}