The avatar for @enjalot
Ian Johnson
pixel flipper, data sifter. trying to see what I can while I'm here
Public
Edited
Nov 2, 2022
9 forks
21 stars
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timezone = Intl.DateTimeFormat().resolvedOptions().timeZone //"America/Los_Angeles"
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Plot.plot({
facet: {
data: tidytweets,
y: "month",
marginLeft: 100
},
marks: [
Plot.barY(
tidytweets,
Plot.groupX({
y: "count",
title: v => `${dayf(v[0].created_at)} ${v.length}`
}, {
x: "dayOfMonth",
// y: "month",
fill: d => d.year + "",
order: "ascending"
// fill: "favorite_count"
})
)
],
color: { legend: true },
y: { axis: null },
fy: { label: null },
x: { },
width,
height: 400,
marginLeft: 100
})
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db
WITH screen_names as (select unnest(string_to_array(user_mentions, '|')) as screen_name
from tweets)
select screen_name, count(*)::INT as count
from screen_names
group by screen_name
order by count desc
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tweet(usertweet.id)
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usertweet
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usertweets = tidytweets.filter(d => d.user_mentions.indexOf(user.screen_name) >= 0)
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followers = JSON.parse((await rawfollower.text()).replace(/^.{0,100}.part0 = /, "")).map((d) => d.follower)
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followersDerived = followers.map(d => {
let user = interactedMap.get(d.accountId) || { id: d.accountId }
return user
}).sort((a,b) => a.id - b.id)
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monthf(new Date())
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monthf = d3.utcFormat("%b %Y")
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dayf(new Date())
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dayf = d3.utcFormat("%b %d %Y")
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// get the text value of the loaded file (rawfile is a promise that resolves once you choose a file)
text = rawfile.text()
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// the file is a thin javascript wrapper around a big JSON array
tweets = JSON.parse(text.replace(/^.{0,100}.part0 = /, "")).map((d) => d.tweet)
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tidytweets = tweets.map(d => {
let retweet = d.full_text.indexOf("RT @") === 0
let reply = d.full_text.indexOf("@") === 0
const tzdate = Temporal.Instant.from(d3.isoFormat(new Date(d.created_at))).toZonedDateTimeISO(timezone)
const hour = tzdate.hour;
const dayOfMonth = tzdate.day;
const day = weekdays[tzdate.dayOfWeek + -1];
const weekend = tzdate.dayOfWeek > 5 ? "Weekend" : "Weekday";
const week = tzdate.weekOfYear;
const month = months[tzdate.month - 1];
const year = tzdate.year;
return {
full_text: d.full_text,
created_at: new Date(d.created_at),
favorite_count: +d.favorite_count,
retweet_count: +d.retweet_count,
user_mentions: d.entities.user_mentions.map(u => u.screen_name).join("|"),
retweet,
reply,
type: retweet ? "retweet" : reply ? "reply" : "tweet",
id: d.id,
lang: d.lang,
// time stuff
hour,
day,
month,
dayOfMonth,
year
}
})
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db = DuckDBClient.of({ tweets: tidytweets })
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db
-- this will show tweets once you've uploaded your file
select * from tweets
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months = ["January", "February", "March", "April", "May", "June", "July", "August", "September", "October", "November", "December"]
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weekdays = ["Monday", "Tuesday", "Wednesday", "Thursday", "Friday", "Saturday", "Sunday"]
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d3.isoFormat(new Date())
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// example of finding a specific tweet by id
tweets.filter(d => d.id == "1586885293323460608")
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tweets.filter(d => d.entities.user_mentions.length > 0)
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interacted = tweets.flatMap(d => d.entities.user_mentions)
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interactedMap = d3.rollup(interacted.map(d => ({id: d.id, name: d.name, screen_name: d.screen_name})), v => {
return {
id: v[0].id,
name: v[0].name,
screen_name: v[0].screen_name,
interaction_count: v.length
}
}, d => d.id)
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import {DuckDBClient} from "@cmudig/duckdb"
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import {Plot} from "@mkfreeman/plot-tooltip"
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import {tweet} from "@mbostock/tweet"
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// Load the Temporal API using a Polyfill
Temporal = {
const TemporalLib = await require("@js-temporal/polyfill@0.3.0")
return TemporalLib.Temporal
}
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