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1 change: 1 addition & 0 deletions examples/README.md
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- [`loader-airtable`](https://observablehq.observablehq.cloud/framework-example-loader-airtable/) - Loading data from Airtable
- [`loader-arrow`](https://observablehq.observablehq.cloud/framework-example-loader-arrow/) - Generating Apache Arrow IPC files
- [`loader-census`](https://observablehq.observablehq.cloud/framework-example-loader-census/) - Loading and transform shapefiles from the U.S. Census Bureau
- [`loader-databricks`](https://observablehq.observablehq.cloud/framework-example-loader-databricks/) - Loading data from Databricks
- [`loader-duckdb`](https://observablehq.observablehq.cloud/framework-example-loader-duckdb/) - Processing data with DuckDB
- [`loader-elasticsearch`](https://observablehq.observablehq.cloud/framework-example-loader-elasticsearch/) - Loading data from Elasticsearch
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4 changes: 4 additions & 0 deletions examples/loader-census/.gitignore
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.DS_Store
/dist/
node_modules/
yarn-error.log
7 changes: 7 additions & 0 deletions examples/loader-census/README.md
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[Framework examples →](../)

# U.S. Census Bureau data loader

View live: <https://observablehq.observablehq.cloud/framework-example-loader-census/>

This Observable Framework example demonstrates how to write a bash data loader that downloads high-resolution shapefiles from the US Census Bureau, and converts them into a web-friendly format.
3 changes: 3 additions & 0 deletions examples/loader-census/observablehq.config.js
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export default {
root: "src"
};
24 changes: 24 additions & 0 deletions examples/loader-census/package.json
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{
"type": "module",
"private": true,
"scripts": {
"clean": "rimraf src/.observablehq/cache",
"build": "rimraf dist && observable build",
"dev": "observable preview",
"deploy": "observable deploy",
"observable": "observable"
},
"dependencies": {
"@observablehq/framework": "latest",
"shapefile": "^0.6.6",
"topojson-client": "^3.1.0",
"topojson-server": "^3.0.1",
"topojson-simplify": "^3.0.3"
},
"devDependencies": {
"rimraf": "^5.0.5"
},
"engines": {
"node": ">=18"
}
}
1 change: 1 addition & 0 deletions examples/loader-census/src/.gitignore
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/.observablehq/cache/
14 changes: 14 additions & 0 deletions examples/loader-census/src/data/ca.json.sh
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# Download the ZIP archive from the Census Bureau (if needed).
if [ ! -f src/.observablehq/cache/cb_2023_06_cousub_500k.zip ]; then
curl -o src/.observablehq/cache/cb_2023_06_cousub_500k.zip 'https://www2.census.gov/geo/tiger/GENZ2023/shp/cb_2023_06_cousub_500k.zip'
fi

# Unzip the ZIP archive to extract the shapefile.
unzip -oqd src/.observablehq/cache src/.observablehq/cache/cb_2023_06_cousub_500k.zip

# Convert the shapefile to TopoJSON, simplify, and merge counties.
shp2json --encoding utf-8 -n src/.observablehq/cache/cb_2023_06_cousub_500k.shp > src/.observablehq/cache/cb_2023_06_cousub_500k.json

geo2topo -q 1e5 -n counties=src/.observablehq/cache/cb_2023_06_cousub_500k.json \
| toposimplify -f -s 1e-7 \
| topomerge state=counties
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# Census boundaries

Here’s how to fetch high-resolution shapefiles from the [U.S. Census Bureau](https://www.census.gov/geographies/mapping-files/time-series/geo/cartographic-boundary.html) and convert them into a web-friendly format in a bash data loader.

First, you’ll need to install a few packages:

```sh
npm install shapefile topojson-client topojson-server topojson-simplify
```

Next, here’s a bash script, `ca.json.sh`:

```bash
# Download the ZIP archive from the Census Bureau (if needed).
if [ ! -f src/.observablehq/cache/cb_2023_06_cousub_500k.zip ]; then
curl -o src/.observablehq/cache/cb_2023_06_cousub_500k.zip 'https://www2.census.gov/geo/tiger/GENZ2023/shp/cb_2023_06_cousub_500k.zip'
fi

# Unzip the ZIP archive to extract the shapefile.
unzip -oqd src/.observablehq/cache src/.observablehq/cache/cb_2023_06_cousub_500k.zip

# Convert the shapefile to GeoJSON, then to TopoJSON, simplify, and merge counties.
shp2json --encoding utf-8 -n src/.observablehq/cache/cb_2023_06_cousub_500k.shp > src/.observablehq/cache/cb_2023_06_cousub_500k.json
geo2topo -q 1e5 -n counties=src/.observablehq/cache/cb_2023_06_cousub_500k.json \
| toposimplify -f -s 1e-7 \
| topomerge state=counties
```

The census.gov URL comes from the Census Bureau page linked above. Here “06” is the state of California’s FIPS code, and “cousub” means county subdivisions.

And here’s the result displayed with Plot:

```js echo
Plot.plot({
width: 640,
height: 720,
projection: {
type: "conic-conformal",
parallels: [37 + 4 / 60, 38 + 26 / 60],
rotate: [120 + 30 / 60, 0],
domain: castate
},
marks: [
Plot.geo(castate),
Plot.geo(cacounties, {strokeOpacity: 0.2})
]
})
```

```js echo
const ca = FileAttachment("data/ca.json").json();
```

```js echo
const castate = topojson.feature(ca, ca.objects.state);
const cacounties = topojson.mesh(ca, ca.objects.counties, (a, b) => a !== b);
```