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Deepsha
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30 Day chart challenge
Edited
Sep 26, 2023
2 forks
5 stars
9
30 Day chart challenge
30 day chart challenge - Part 2
30 day chart challenge - Part 130 day chart challenge - Part 330 Day Chart Challenge Part 430 Day Chart Challenge Part 5
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Plot.plot({
insetLeft: 20,
insetRight: 20,
insetTop: 70,
marks: [
Plot.barX([26.2], {fill: "orange", fillOpacity: 0.1}),
Plot.ruleY(bbc_devicestats, {x1: 0, x2: "CostOnStandby", y: "Device", sort: {y: "x", reverse: true}, stroke: "#008080", opacity: 0.8, strokeWidth: 40}),
Plot.image(bbc_devicestats, {x: -1 , y: "Device",width: 50, src: "deviceurl"}),
Plot.text(bbc_devicestats,{x: d => d.CostOnStandby - .1 , y: "Device", fill: "white", opacity: 1, textAnchor: "end", fontSize: 20, text: "Costchar"}),
Plot.text(bbc_devicestats,{x: d => d.CostOnStandby + .3 , y: "Device", fill: "black", opacity: 0.8, textAnchor: "start", fontSize: 17, text: "Device"}),
Plot.text(bbc_devicestats,{x: 25.5 , y: "Device", fill: "#008080", text: "fact", opacity: 0.4, textAnchor: "end", fontSize: 40, filter: d => d.Device === "Shower", lineHeight: 1.2}),
Plot.text(bbc_devicestats,{x: 25 , y: "Device", fill: "black", text: "titletop", opacity: 1, textAnchor: "end", fontSize: 40, filter: d => d.Device === "TV", dy: -70}),
Plot.text(bbc_devicestats,{x: 26 , y: "Device", fill: "gray", text: "source", opacity: 0.6, textAnchor: "end", fontSize: 20, filter: d => d.Device === "Phone Charger", dy: 30}),
Plot.ruleX([0]),
Plot.axisY({ tickSize: 0, fontSize: 0}),
Plot.axisX({ tickSize: 0, fontSize: 0}),
],
height: 800, width: 1200
})
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bbc_devicestats.csv
Type Table, then Shift-Enter. Ctrl-space for more options.

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cagefreepercentage.csv
Type Table, then Shift-Enter. Ctrl-space for more options.

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cagefreepercentage
select *, REPLACE(CAST(year as varchar(10)), '.0', '') as 'Year of Production'
from cagefreepercentage
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textemojis = d3
.scaleOrdinal()
.domain(["Eggs", "Hens"])
.range(["🥚", "🐔"])
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Hybrid.csv
Type Table, then Shift-Enter. Ctrl-space for more options.

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hybrid
select *, 50 as yval
from hybrid
order by orderx
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dog_breed_ranks.csv
Type Table, then Shift-Enter. Ctrl-space for more options.

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breed_ranks
Select -1*value as value, value as value_abs, REPLACE(CAST(year as varchar(10)), '.0', '') as yearchar, *
from breed_ranks
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Washington_migration.csv
Type Table, then Shift-Enter. Ctrl-space for more options.

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wamigration
with data as
(Select GeographyA, GeographyB, -1*NetBtoA as value, 'Net Migration' as Category
from wamigration
union all
Select GeographyA, GeographyB, BtoA as value, 'Entering the state' as Category
from wamigration
union all
Select GeographyA, GeographyB, -1*AtoB as value, 'Leaving the state' as Category
from wamigration
)
Select * from data
where GeographyB in ('California', 'Oregon', 'Arizona', 'Texas', 'Idaho', 'Florida', 'Colorado', 'New York', 'Illinois', 'Utah')
order by value desc
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us = FileAttachment("us-counties-10m.json").json()
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states = topojson.feature(us, us.objects.states)
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1950-2021_all_tornadoes.csv
Type Table, then Shift-Enter. Ctrl-space for more options.

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tornadoes
select *
from tornadoes I
where date >= ('2020-01-01')
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