Comments (6)
Crimes by primary type bar chart:
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Crimes by desription bar chart:
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Crimes by primary type with crime description summary bar chart:
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Crimes by location (top 20):
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Simplified chart queries using data queries import from #24:
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See new With Malloy Charts section in docs: https://github.com/RandomFractals/chicago-crimes#with-malloy-charts
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Related Issues (20)
- Add crimes parquet data read with Polars notebook example HOT 1
- Convert all timestamp strings to DateTime in data/crimes.parquet output HOT 1
- Add smaller 2022 Chicago crimes data files to /data in repo for testing, etc.
- Add .Net Interactive .ipynb CSV data loading example with C# HOT 4
- Add Malloy DuckDB parquet data loading and queries example HOT 7
- Evaluate DuckDB v0.6.0 experimental parallel CSV data reader and unoderdered insertion HOT 1
- Add time series chart examples to Chicago crimes with Malloy queries config
- Add Chicago crimes with pandas Jupyter notebook example HOT 2
- Create slim 2022 crimes CSV data file for use in data apps HOT 1
- Create simple PyScript page showing 2022 crimes data HOT 5
- Create Chicago crimes visualizations page with PyScript and Vizzu charting library
- Create Chicago crimes with Altair charts Jupyter notebook HOT 2
- Create Malloy Composer app with 2022 Chicago crimes parquet data HOT 3
- Add Visualizations section to README.md HOT 1
- Add November data to 2022 Chicago crimes CSV, slim CSV, and parquet data files HOT 1
- Use slim 2022 crimes csv gzip file to speed up data loading in PyScript web page example HOT 1
- Create Malloy Fiddle app and config HOT 2
- Add new With DuckDB Sql Tools demo info and gif to Visualizations section in docs HOT 3
- Add DuckDB database and parquet data export/import demos to new DuckDB Sql Tools doc section HOT 1
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