The avatar for @red-bin
Matt Chapman
nerd
Published
Edited
Mar 25, 2022
3
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# Mapping census for ARPA
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Type JavaScript, then Shift-Enter. Ctrl-space for more options. Arrow ↑/↓ to switch modes.

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searchData
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searchData
.params({ search: op.lower(search) })
.derive({ workIndex: (d) => op.indexof(d.text_process, search) })
.derive({
startIndex: (d) => d.workIndex - 100,
endText: (d) => d.workIndex + 100
})
.derive({
exampleSentence: (d) => op.slice(d.text_process, d.startIndex, d.endText)
})
.select("name", "exampleSentence"),
{ layout: "auto" }
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searched_pdfs = dataRaw.filter(i=> typeof(i.text) == 'string' && i.text.includes(search)).map(i=>i.filename.split('/')[2])
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searched_counties = pdf_linkage.filter(i=> searched_pdfs.includes(i['PDF Name'])).map(i=> i.counties)
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typeof('acdb')
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options = Object.keys(county_data[0]).filter((i) => !ignore_columns.includes(i))
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ignore_columns = ["geoid", "countyfp", "name"]
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data_url = 'https://mchapioviz.s3.us-east-2.amazonaws.com/arpa_counties.csv'
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counties_geojson = d3.json('https://cdn.jsdelivr.net/npm/us-atlas@2/us/10m.json')
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county_data = FileAttachment("acs5_2019_medianage_counties.csv").csv()
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searchData = data
.params({ search: op.lower(search) })
.filter((d) => op.includes(d.text_process, search))
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data = aq
.from(dataRaw)
.derive({ name: (d) => op.replace(d.filename, "output_data/pdfs/", "") })
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dataRaw = FileAttachment("parsed_pdf_text.csv").csv({ typed: true })
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pdf_linkage = FileAttachment("Treasury Scrape-Has Recovery Plan(2).csv").csv()
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FileAttachment("acs5_2019_medianage_counties.csv").csv()
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d3 = require('d3')
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d3.csv('https://raw.githubusercontent.com/red-bin/arpascraper/main/data/arpa_scrape.csv')
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import {vl} from '@vega/vega-lite-api'
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import { select,radio,checkbox, slider, text } from "@jashkenas/inputs"
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import {rangeSlider} from '@mootari/range-slider'
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import { aq, op } from "@uwdata/arquero"
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