// Load the data from NYT
raw_data = FileAttachment('date_state_cases.csv').csv()
//FileAttachment("fixed_fundraising_states_day@1.json").json()
// List of states
states = [...d3.group(raw_data, d => d.state).keys()]
tParser = d3.utcParse("%Y/%m/%d");
/*cases_per_day = d3.sort(
states.map(state => {
const state_data = raw_data.filter(d => d.state === state);
const data = state_data.map((dd, i) => {
// Calculate the *new* cases and deaths today by substracting the cases yesterday
// let new_cases = 0;
// if (i === 0) new_cases = +dd.cases;
// else new_cases = +dd.cases - +state_data[i - 1].cases;
return {
date: dd.date,
value: dd.cases
};
});
return {
state,
data
};
}),
// Sort by the date where the moving average is the highest
//s => -d3.greatestIndex(movingAverage(s.data.map(d => d.value), 7))
// s => d3.ascending(d.states)
)*/
cases_per_day =
states.map(state => {
const state_data = raw_data.filter(d => d.state === state);
const data = state_data.map((dd, i) => {
return {
date: tParser(dd.date),
value: parseInt(dd.cases)
};
});
return {
state,
data
};
})
interval = d3.utcDay
start = new Date(d3.min(raw_data, (d) => d.date))
stop = new Date(d3.max(raw_data, (d) => d.date))
// Setting defaults
timeChart = TimeChart.defaults({
interval,
start,
stop,
width:width,
marginTop: 2,
scheme: "greens"
})
import { TimeChart, TimeAxis, d3 } from "@observablehq/timechart"
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