vega/altair

Faceted map example chart

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#1,711 opened on Sep 27, 2019

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documentationgood first issuevega: vega-datasets

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Description

Tasks

Based on (https://github.com/vega/altair/issues/1711#issuecomment-2567162567), (https://github.com/vega/altair/issues/1711#issuecomment-538451439)

[!TIP] The tasks below should be completed in order of appearance. Earlier tasks can be performed by any contributor (new or old) familiar with alt.Chart.mark_geoshape

  • Find an appropriate dataset
    • Contains a categorical field, not directly dependent on location
    • License that enables adding to vega/vega-datasets and using/transforming within vega projects (non-commercial)
      • Current dataset licenses: 1, 2
  • Demonstrate using the dataset (in this issue)
  • Open an upstream issue, linking back to this one
  • Follow up by opening an upstream PR

Example (not altair)

(https://github.com/vega/altair/issues/1711#issuecomment-2567159598) @mattijn

Maybe something like species richness for a limited number of species. Similar to below, from here, but then preferably aggregated per county, instead of raster cells:

Contributor guide

Research direction
Identify an appropriate dataset with a categorical field not directly location dependent and a compatible license, then demonstrate it using Altair's mark geoshape with remote GeoJSON/TopoJSON. Follow the steps in the issue: check existing datasets, open an upstream issue and PR in vega/vega datasets.
Tech stack
python
Domain
data visualization
Issue type
Feature
DifficultyEstimated implementation difficulty for a new contributor, from 1 for very small changes to 5 for expert-level work.
3
Estimated timeA rough time range for an experienced contributor to investigate, implement, test, and prepare a pull request.
Half day
Activity statusHow available the issue appears right now: fresh, active, stale, blocked, or waiting on maintainer input.
Active
ClarityHow clearly the issue explains the expected change, acceptance criteria, and next step.
Clear
Prerequisites
PythonAltairgeospatial data concepts
Newbie friendlinessA 1-100 score estimating how approachable this issue is for first-time contributors.
70