Digital Humanist. Manhattan-based.
Public
Edited
Nov 1, 2022
3 stars
db
html`People who join super-early are interesting!<ul>${lowest_ids}</ul>`
follower = {
const follower = await FileAttachment("follower.js").text();
return JSON.parse(follower.slice(follower.indexOf("=") + 2)).map(
(d) => d.follower
);
}
tweet_table = aq.table({
screen_name: tweets.map((d) => mentioned_users(d, "screen_name")),
favorites: tweets.map((d) => +d.favorite_count),
retweets: tweets.map((d) => +d.retweet_count),
text: tweets.map((d) => d.full_text),
date: tweets.map((d) => new Date(d.created_at))
})
import { Plot } from "@mkfreeman/plot-tooltip"
tidytweets = tweets.map((d) => {
let retweet = d.full_text.indexOf("RT @") === 0;
let reply = d.full_text.indexOf("@") === 0;
return {
full_text: d.full_text,
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,
created_at: new Date(d.created_at),
lang: d.lang
};
})
db = DuckDBClient.of({ tweets: tidytweets })
viewof most_mentioned = tweet_table
.unroll("screen_name")
.groupby("screen_name")
.count("screen_name")
.orderby(aq.desc("count"))
.view()
import { aq, op } from "@uwdata/arquero"
import { DuckDBClient } from "@cmudig/duckdb"
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.
