data viz at the database
Public
Edited
Nov 16, 2023
parsetime = d3.timeParse("%b %d, %Y")
parsetimeb = d3.timeParse('%m/%d/%Y')
formattime = d3.timeFormat("%B %Y")
views = FileAttachment("VC GRAPHS - Audio Episode Views.csv")
.csv()
.then((data) => {
const parseCommas = (d) => Number(d.replace(/,/g, ""));
return data.map((row) => ({
...row,
rawDate: parsetime(row["Video publish time"]),
date: formattime(parsetime(row["Video publish time"])),
Views: parseCommas(row.Views)
}));
})
rolledViews = d3
.rollups(
views,
(v) => {
return {
min: d3.min(v, (d) => d.Views),
mean: d3.mean(v, (d) => d.Views),
median: d3.median(v, (d) => d.Views),
max: d3.max(v, (d) => d.Views),
rawDate: v[0].rawDate
};
},
(d) => d.date
).map((d) => ({ date: d[0], ...d[1] })).sort((a,b) => d3.ascending(a.rawDate, b.rawDate))
videoWatchTimes = FileAttachment("VC GRAPHS - Video Episode Watch time.csv")
.csv()
.then((data) => {
const parseCommas = (d) => Number(d.replace(/,/g, ""));
return data.map((row) => ({
...row,
rawDate: parsetimeb(row["Date"]),
date: formattime(parsetimeb(row["Date"])),
"Watch time (minutes)": parseCommas(row["Watch time (minutes)"])
}));
})
rolledVideoWatchTimes = d3
.rollups(
videoWatchTimes,
(v) => {
return {
min: d3.min(v, (d) => d["Watch time (minutes)"]),
mean: d3.mean(v, (d) => d["Watch time (minutes)"]),
median: d3.median(v, (d) => d["Watch time (minutes)"]),
max: d3.max(v, (d) => d["Watch time (minutes)"]),
rawDate: v[0].rawDate
};
},
(d) => d.date
)
.map((d) => ({ date: d[0], ...d[1] }))
.sort((a, b) => d3.ascending(a.rawDate, b.rawDate))
audioWatchTimes = FileAttachment("VC GRAPHS - Audio Episode Watch Time .csv").csv()
.then((data) => {
const parseCommas = (d) => Number(d.replace(/,/g, ""));
return data.map((row) => ({
...row,
rawDate: parsetime(row["Video publish time"]),
date: formattime(parsetime(row["Video publish time"])),
"Watch time (minutes)": parseCommas(row["Watch time (minutes)"])
}));
})
rolledAudioWatchTimes = d3
.rollups(
audioWatchTimes,
(v) => {
return {
min: d3.min(v, (d) => d["Watch time (minutes)"]),
mean: d3.mean(v, (d) => d["Watch time (minutes)"]),
median: d3.median(v, (d) => d["Watch time (minutes)"]),
max: d3.max(v, (d) => d["Watch time (minutes)"]),
rawDate: v[0].rawDate
};
},
(d) => d.date
)
.map((d) => ({ date: d[0], ...d[1] }))
.sort((a, b) => d3.ascending(a.rawDate, b.rawDate))
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