Public
Edited
May 7
Plot.plot({
marks: [
Plot.dot(furnace_air_data, {"x": "date", "y": "result"}) // Update this mark to create a scatterplot
],
})
Plot.plot({
y: {
domain: [0, 3000]
},
marks: [
// This draws a line at the respirator max protection limit. You don't need to change this.
Plot.ruleY([2500], {stroke: "red", strokeWidth: 3}),
Plot.dot(furnace_air_data, {"x": "date", "y": "result"}) // Update this mark to create a scatterplot
]
})
mappedResults = {
function formatRow(row) {
let afterEnclosed = new Date(row.date) >= new Date(2013, 0, 1) // Update ??? to compare the row's date to the date when the factory was enclosed
// Update the next line to compare the row's result to the limit of 2500
// exceedsProtection should be true if the row's result is greater than 2500
let exceedsProtection = row.result > 2500;
// If you've done everything correctly above, you don't need to do anything else!
return {
...row,
exceeds_protection: exceedsProtection,
after_enclosed: afterEnclosed,
}
}
return furnace_air_data.map(formatRow);
}
enclosureDates = [
{date: new Date(2013, 0, 1)},
{date: new Date(2020, 5, 1)}
]
areaMark = Plot.area(enclosureDates, {
x1: "date",
y1: 0,
y2: 85000,
fill: "lightblue",
opacity: 0.5
});
readingsBefore = correctResults.filter(row => !row.after_enclosed)
readingsAfter = correctResults.filter(row => row.after_enclosed) // Update this to return the inverse of the above example
avgs = {
const sum = (x, y) => x + y;
return {
before: readingsBefore.map(x => x.result).reduce(sum) / readingsBefore.length,
after: readingsAfter.map(x => x.result).reduce(sum) / readingsAfter.length
}
}
function pctIncrease(averageBefore, averageAfter) {
return ((averageAfter - averageBefore) / averageBefore);
}
You got: ${fmtPct(pctIncrease(avgs.before, avgs.after))}
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