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A Custom View that shows a per-column summary of any tabular data format, using DuckDB and Python to summarize and Vega-Lite to plot.

Add Action and Custom View

Action summarizes using Python and DuckDB to produce .summary files.
Custom view shows the .summary files as a per-column summary plot.
Zach Nation 4 weeks ago
parent 35833caf6a
commit 29c4a83476
12 changed files (0 B → 4.1 GiB)
  1. 208
      .xethub/custom_views/parquet/index.html
  2. 1
      .xethub/custom_views/parquet/theme-air,near-midnight,wide.css
  3. 7
      .xethub/custom_views/parquet/view.yml
  4. 50
      .xethub/workflows/main.yml
  5. 7
      Makefile
  6. 3
      OpenOrca/1M-GPT4-Augmented.parquet
  7. 3
      OpenOrca/3_5M-GPT3_5-Augmented.parquet
  8. 3
      WA_Fn-UseC_-Telco-Customer-Churn.csv
  9. 3
      partial_stackexchange.parquet
  10. 2
      requirements.txt
  11. 13
      run.sh
  12. 71
      summarize.py

.xethub/custom_views/parquet/index.html (0 B → 6.7 KiB)

.xethub/custom_views/parquet/theme-air,near-midnight,wide.css (0 B → 22 KiB)

.xethub/custom_views/parquet/view.yml (0 B → 111 B)

.xethub/workflows/main.yml (0 B → 669 B)

Makefile (0 B → 223 B)

OpenOrca/1M-GPT4-Augmented.parquet (0 B → 962 MiB)

OpenOrca/3_5M-GPT3_5-Augmented.parquet (0 B → 2.9 GiB)

WA_Fn-UseC_-Telco-Customer-Churn.csv (0 B → 715 KiB)

partial_stackexchange.parquet (0 B → 250 MiB)

requirements.txt (0 B → 14 B)

run.sh (0 B → 218 B)

summarize.py (0 B → 2.5 KiB)

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