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UdG | Master's in Data Science
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Information Visualization
By
xaquingv
Edited
Dec 20
5 forks
2
Information Visualization
Module guidelines
Week 1 | ObservableHQ and Plot essentials
Week 2 | Drawing with data
Week 3 | Let's talk about color
Week 4 | Make it interactive
Exercise 1: Load the data and chart it with Plot
Exercise 2: Data questions, visual answers
Exercise 4: Look ma! It's interactive
Exercise 3: UnPleasantville your charts!
Final exercise: Guidelines
Final exercise: Template
Data playground
Grades (so far)
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interval
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${(select ? [select]: countries.slice(0,more(cols))).map(
(d) => htl.html.fragment`
<
div
style
=
'${style.div}'
>
<
p
style
=
'${style.p}'
>
${d}
</
p
>
${plotCountry(d, select ? width / 2 : width / cols)}
</
div
>
`
)}
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color_maps
=
(
type
)
=>
(
{
legend
:
true
,
label
:
"Unemployment in %"
,
type
:
type
,
domain
:
type
===
"threshold"
?
[
0
,
2.5
,
5
,
10
,
15
]
:
[
0
,
20
]
,
n
:
10
,
scheme
:
"RdPu"
}
)
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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.
Try it for free
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interval
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select
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cols
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plotCountry
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order
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data
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countries
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style
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more
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color
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color_maps
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migrants
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europe_countries
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europe_nuts2
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euNuts2
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eu_unemployment
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d3_composite
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temperature
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