index.qmd

---
title: "CSIS Government Open Source Software Policies Dataset"
format:
  html:
    code-fold: true
    code-tools: true
    include-in-header:
      - json-ld.html
---

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## Dataset

Explore the [raw data](https://github.com/github/government-open-source-policies/blob/main/data/OSS.Dataset.-.December.2022.v3.csv).

Run your own analysis by [creating a Codespace](https://github.com/codespaces/new?hide_repo_select=true&ref=main&repo=github/government-open-source-policies) and opening the [Quarto notebook](https://github.com/github/government-open-source-policies/blob/main/index.qmd) that powers the charts below.

### Using Quarto in Codespaces

1. [Create a Codespace](https://github.com/codespaces/new?hide_repo_select=true&ref=main&repo=github/government-open-source-policies)
2. Within the Codespace, navigate to the file you're reading right now ([`index.qmd`](/index.qmd))
3. Press `Cmd+Shift+K` or `Ctrl+Shift+K` to render the notebook.

Ordinarily, you'd need to install Quarto first, but the [prebuild configuration](.devcontainer/devcontainer.json) for this repo's Codespaces uses an image with Quarto pre-installed for you.

Read more about [Quarto](https://quarto.org/docs/get-started/hello/vscode.html) and writing [Observable JS (`ojs`) cells](https://quarto.org/docs/interactive/ojs/).

## Dataset Preview

```{ojs}
Inputs.table(data)
```

## Governments

```{ojs}
governmentHistogram = Plot.plot({
  marginLeft: 180,
  y: {
    insetTop: 5,
    domain: governmentsByFrequencyDesc,
  },
  marks: [
    Plot.barX(data, Plot.groupY({ x: "count" }, { y: "Government" })),
  ]
})
```

## Regions

```{ojs}
regionHistogram = Plot.plot({
  marginLeft: 200,
  y: {
    insetTop: 5,
    domain: regionsByFrequencyDesc,
  },
  marks: [
    Plot.barX(data, Plot.groupY({ x: "count" }, { y: "Region" })),
  ]
})
```

## Issuing Areas

```{ojs}
issuingAreaHistogram = Plot.plot({
  marginBottom: 50,
  marginRight: 90,
  x: {
    tickRotate: -45,
    tickFormat: "d",
  },
  y: {
    insetTop: 5,
  },
  facet: {
    data,
    y: "Issuing Area of Government",
    marginRight: 90,
  },
  marks: [
    Plot.frame(),
    Plot.barY(data, Plot.groupX({ y: "count" }, { x: "Date" })),
  ]
})
```

## Issuing Areas by Region

```{ojs}
issuingAreaByRegionHistogram = Plot.plot({
  marginBottom: 90,
  marginRight: 200,
  x: {
    tickRotate: -45
  },
  y: {
    insetTop: 5,
  },
  facet: {
    data,
    y: "Region",
    marginRight: 200,
  },
  marks: [
    Plot.frame(),
    Plot.barY(data, Plot.groupX({ y: "count" }, { x: "Issuing Area of Government" })),
  ]
})
```

## Actions

```{ojs}
actionHistogram = Plot.plot({
  marginBottom: 50,
  marginRight: 150,
  x: {
    tickRotate: -45,
    tickFormat: "d",
  },
  y: {
    insetTop: 5,
  },
  facet: {
    data,
    y: "Action",
    marginRight: 150,
  },
  marks: [
    Plot.frame(),
    Plot.barY(data, Plot.groupX({ y: "count" }, { x: "Date" })),
  ]
})
```

## Actions by Region

```{ojs}
actionByRegionHistogram = Plot.plot({
  marginBottom: 110,
  marginRight: 200,
  x: {
    tickRotate: -45
  },
  y: {
    insetTop: 5,
  },
  facet: {
    data,
    y: "Region",
    marginRight: 200,
  },
  marks: [
    Plot.frame(),
    Plot.barY(data, Plot.groupX({ y: "count" }, { x: "Action" })),
  ]
})
```

## Statuses

```{ojs}
statusHistogram = Plot.plot({
  marginBottom: 50,
  marginRight: 90,
  x: {
    tickRotate: -45,
    tickFormat: "d",
  },
  y: {
    insetTop: 5,
  },
  facet: {
    data,
    y: "Status",
    marginRight: 90,
  },
  marks: [
    Plot.frame(),
    Plot.barY(data, Plot.groupX({ y: "count" }, { x: "Date" })),
  ]
})
```

## Statuses by Region

```{ojs}
statusByRegionHistogram = Plot.plot({
  marginBottom: 50,
  marginRight: 200,
  y: {
    insetTop: 5,
  },
  facet: {
    data,
    y: "Region",
    marginRight: 200,
  },
  marks: [
    Plot.frame(),
    Plot.barY(data, Plot.groupX({ y: "count" }, { x: "Status" })),
  ]
})
```

## Types

```{ojs}
typeHistogram = Plot.plot({
  marginBottom: 50,
  marginRight: 150,
  x: {
    tickRotate: -45,
    tickFormat: "d",
  },
  y: {
    insetTop: 5,
  },
  facet: {
    data,
    y: "Type",
    marginRight: 150,
  },
  marks: [
    Plot.frame(),
    Plot.barY(data, Plot.groupX({ y: "count" }, { x: "Date" })),
  ]
})
```

## Types by Region

```{ojs}
typeByRegionHistogram = Plot.plot({
  marginBottom: 110,
  marginRight: 200,
  x: {
    tickRotate: -45
  },
  y: {
    insetTop: 5,
  },
  facet: {
    data,
    y: "Region",
    marginRight: 200,
  },
  marks: [
    Plot.frame(),
    Plot.barY(data, Plot.groupX({ y: "count" }, { x: "Type" })),
  ]
})
```

## Stated Objective: Modernization

```{ojs}
modernizationHistogram = Plot.plot({
  marginBottom: 50,
  marginRight: 90,
  x: {
    tickRotate: -45,
    tickFormat: "d",
  },
  y: {
    insetTop: 5,
  },
  facet: {
    data,
    y: "Stated Objective: Modernization",
    marginRight: 90,
  },
  marks: [
    Plot.frame(),
    Plot.barY(data, Plot.groupX({ y: "count" }, { x: "Date" })),
  ]
})
```

## Stated Objective: Cost

```{ojs}
costHistogram = Plot.plot({
  marginBottom: 50,
  marginRight: 90,
  x: {
    tickRotate: -45,
    tickFormat: "d",
  },
  y: {
    insetTop: 5,
  },
  facet: {
    data,
    y: "Stated Objective: Cost",
    marginRight: 90,
  },
  marks: [
    Plot.frame(),
    Plot.barY(data, Plot.groupX({ y: "count" }, { x: "Date" })),
  ]
})
```

## Stated Objective: Sovereignty

```{ojs}
sovereigntyHistogram = Plot.plot({
  marginBottom: 50,
  marginRight: 90,
  x: {
    tickRotate: -45,
    tickFormat: "d",
  },
  y: {
    insetTop: 5,
  },
  facet: {
    data,
    y: "Stated Objective: Sovereignty",
    marginRight: 90,
  },
  marks: [
    Plot.frame(),
    Plot.barY(data, Plot.groupX({ y: "count" }, { x: "Date" })),
  ]
})
```

## Stated Objective: Support for National Industry

```{ojs}
nationalIndustryHistogram = Plot.plot({
  marginBottom: 50,
  marginRight: 90,
  x: {
    tickRotate: -45,
    tickFormat: "d",
  },
  y: {
    insetTop: 5,
  },
  facet: {
    data,
    y: "Stated Objective: Support for National Industry",
    marginRight: 90,
  },
  marks: [
    Plot.frame(),
    Plot.barY(data, Plot.groupX({ y: "count" }, { x: "Date" })),
  ]
})
```

## Stated Objective: Transparency

```{ojs}
transparencyHistogram = Plot.plot({
  marginBottom: 50,
  marginRight: 90,
  x: {
    tickRotate: -45,
    tickFormat: "d",
  },
  y: {
    insetTop: 5,
  },
  facet: {
    data,
    y: "Stated Objective: Transparency",
    marginRight: 90,
  },
  marks: [
    Plot.frame(),
    Plot.barY(data, Plot.groupX({ y: "count" }, { x: "Date" })),
  ]
})
```

## Stated Objective: Security

```{ojs}
securityHistogram = Plot.plot({
  marginBottom: 50,
  marginRight: 90,
  x: {
    tickRotate: -45,
    tickFormat: "d",
  },
  y: {
    insetTop: 5,
  },
  facet: {
    data,
    y: "Stated Objective: Security",
    marginRight: 90,
  },
  marks: [
    Plot.frame(),
    Plot.barY(data, Plot.groupX({ y: "count" }, { x: "Date" })),
  ]
})
```

## Appendix

```{ojs}
data = await FileAttachment("./data/OSS.Dataset.-.December.2022.v3.csv").csv({ typed: true })
```

```{ojs}
governmentsByFrequencyDesc = d3.rollups(data, v => v.length, d => d['Government'])
  .sort(([, a], [, b]) => d3.descending(a, b))
  .map(([key]) => key)
```

```{ojs}
governmentsByFrequencyDesc
```

```{ojs}
regionsByFrequencyDesc = d3.rollups(data, v => v.length, d => d.Region)
  .sort(([, a], [, b]) => d3.descending(a, b))
  .map(([key]) => key)
```

```{ojs}
regionsByFrequencyDesc
```