Lock in $30 Savings on PRO—Offer Ends Soon! ⏳
Speaker Deck
Features
Speaker Deck
PRO
Sign in
Sign up for free
Search
Search
Visualization Grammar
Search
Eitan Lees
March 03, 2020
Programming
9
920
Visualization Grammar
A brief tour of the Vega/Vega-Lite visualization grammar used in Altair
Eitan Lees
March 03, 2020
Tweet
Share
More Decks by Eitan Lees
See All by Eitan Lees
Visualization
eitanlees
150
16k
Matplotlib
eitanlees
8
1k
Altair Tutorial
eitanlees
4
1k
Scientific Visualization
eitanlees
6
790
Other Decks in Programming
See All in Programming
dotfiles 式年遷宮 令和最新版
masawada
1
760
Developing static sites with Ruby
okuramasafumi
0
280
ViewファーストなRailsアプリ開発のたのしさ
sugiwe
0
460
sbt 2
xuwei_k
0
290
Giselleで作るAI QAアシスタント 〜 Pull Requestレビューに継続的QAを
codenote
0
170
tparseでgo testの出力を見やすくする
utgwkk
2
210
Building AI Agents with TypeScript #TSKaigiHokuriku
izumin5210
6
1.3k
20251127_ぼっちのための懇親会対策会議
kokamoto01_metaps
2
430
S3 VectorsとStrands Agentsを利用したAgentic RAGシステムの構築
tosuri13
6
310
なあ兄弟、 余白の意味を考えてから UI実装してくれ!
ktcryomm
11
11k
エディターってAIで操作できるんだぜ
kis9a
0
720
AIコーディングエージェント(Manus)
kondai24
0
170
Featured
See All Featured
A Tale of Four Properties
chriscoyier
162
23k
Fashionably flexible responsive web design (full day workshop)
malarkey
407
66k
[SF Ruby Conf 2025] Rails X
palkan
0
510
Balancing Empowerment & Direction
lara
5
800
Exploring the Power of Turbo Streams & Action Cable | RailsConf2023
kevinliebholz
36
6.2k
Evolution of real-time – Irina Nazarova, EuRuKo, 2024
irinanazarova
9
1.1k
We Have a Design System, Now What?
morganepeng
54
7.9k
Principles of Awesome APIs and How to Build Them.
keavy
127
17k
Sharpening the Axe: The Primacy of Toolmaking
bcantrill
46
2.6k
StorybookのUI Testing Handbookを読んだ
zakiyama
31
6.4k
Statistics for Hackers
jakevdp
799
230k
VelocityConf: Rendering Performance Case Studies
addyosmani
333
24k
Transcript
Data Mark Encoding Transform Scale Guide Visualization Grammar
Data Mark Encoding Transform Scale Guide A B C &
Variables Observations Tabular Data A B C
Data Mark Encoding Transform Scale Guide A,B,C,D,E 4,6,4,4,3 4,4,8,4,3 7,5,5,0,1
5,9,3,0,5 0,1,2,4,2 [ { "A":4, "B":6, "C":4, "D":4, "E":3 }, { "A":4, "B":4, "C":8, "D":4, "E":3 }, { "A":7, "B":5, "C":5, "D":0, "E":1 }, { "A":5, "B":9, "C":3, "D":0, "E":5 }, { "A":0, "B":1, "C":2, "D":4, "E":2 } ] https://eitanlees.com/ABC.csv
Data Mark Encoding Transform Scale Guide B A A A
C C C B B and many more ... Text Circle Bar Line
Data Mark Encoding Transform Scale Guide X Position Y Position
Size Color ⠇ Channel A B C D ⠇ Variable
Data Mark Encoding Transform Scale Guide Calculate Fold Filter Aggregate
and many more ...
Data Mark Encoding Transform Scale Guide f(domain) → range
Data Mark Encoding Transform Scale Guide A B C Legend
Data Mark Encoding Transform Scale Guide Let’s make a chart
Data Mark Encoding Transform Scale Guide import altair as alt
from vega_datasets import data iris = data.iris() sepalLength sepalWidth PetalLength PetalWidth species 5.1 3.5 1.4 0.2 setosa 4.9 3.0 1.4 0.2 setosa 4.7 3.2 1.3 0.2 setosa 4.6 3.1 1.5 0.2 setosa ⠇
Data Mark Encoding Transform Scale Guide import altair as alt
from vega_datasets import data iris = data.iris() alt.Chart(iris).mark_circle()
Data Mark Encoding Transform Scale Guide import altair as alt
from vega_datasets import data iris = data.iris() alt.Chart(iris).mark_circle() Without an encoding our chart is not very interesting
Data Mark Encoding Transform Scale Guide import altair as alt
from vega_datasets import data iris = data.iris() alt.Chart(iris).mark_circle().encode( alt.X('petalLength'), alt.Y('petalWidth') )
Data Mark Encoding Transform import altair as alt from vega_datasets
import data iris = data.iris() alt.Chart(iris).mark_circle().encode( alt.X('petalLength'), alt.Y('petalWidth'), alt.Color('species') ) Scale Guide
Data Mark Encoding Transform import altair as alt from vega_datasets
import data iris = data.iris() alt.Chart(iris).mark_circle().encode( alt.X('petalLength'), alt.Y('petalWidth'), alt.Color('species') ) Scale Guide Note that the guides and scales are automatically generated for us
Data Mark Encoding Transform import altair as alt from vega_datasets
import data iris = data.iris() alt.Chart(iris).mark_circle().encode( alt.X('petalLength'), alt.Y('petalWidth'), alt.Color('species') ).transform_filter( alt.datum.sepalWidth < 3 ) Scale Guide