d3 = require("d3@5")
topojson = require("topojson-client@3")
states = FileAttachment("states48.json").json()
covid = FileAttachment("ia_covid19_county.json").json()
states_features = topojson.feature(states, states.objects.states48)
covid_features = topojson.feature(covid, covid.objects.ia_covid19_county)
csv_data = d3.csvParse(await FileAttachment("iowa_counties.csv").text(),({FIPS, AGE_5_17, POP2010, FEMALES}) => [+FIPS, AGE_5_17/+POP2010])
covid_csv_data = d3.csvParse(await FileAttachment("IA_COVID19_Cases.csv").text(),({FIPS, Deaths, pop_est_2018}) => [+FIPS, +Deaths/+pop_est_2018 ])
covid_deaths_rate = Array.from(covid_csv_data.values(), d => d[1])
//this is how to take the values of a variable (column) from all variables you created from the csv file
femalepct = Array.from(csv_data.values(), d => d[1])
//this is how to take the values of a variable (column) from all variables you created from the csv file
fips = Array.from(csv_data.values(), d => d[0])
//this is how to take the values of a variable (column) from all variables you created from the csv file
age5_17pct = Array.from(csv_data.values(), d => d[1])
//this is how you map the id column to the values. We will use this for joining with topojson later.
data = Object.assign(new Map(covid_csv_data), {title: ["Iowa Covid Cases"]})
Purpose-built for displays of data
Observable is your go-to platform for exploring data and creating expressive data visualizations. Use reactive JavaScript notebooks for prototyping and a collaborative canvas for visual data exploration and dashboard creation.
