visualization and data mapping

Visualization and Data MappingDaekwon Kim

propellerheaven@gmail.com

King Sejong

William Playfair

Score DataClass Mathematics Korean English Science

Score 80 90 60 50

Source Code of Bar Plot

barplot(����c(80,�90,�60,�70),�����names.arg=c("Mathematics",�"Korean",�"English",�"Science"),�����col=rainbow(4),����ylim=c(0,�100)�����)

Graph

Data mapping데이터(변수)를�눈에�보이는�요소에�연결�시키는�일

위�표에서�우리가�가진�변수

과목(Class)�:�Nominal

점수(Score)�:�Ratio

Variables => Aesthetics

Class�=>�bar�or�bar.name

Score�=>�bar.height

Graph Again

Where is the color?

Graph�literacy

Variables => Aesthetics

Data.Class�=>�bar.name

Data.Class�=>�bar.color�(Duplication!)

Data.Score�=>�bar.height

barplot(����#�Date.Score�=>�bar.height����c(80,�90,�60,�70),�����#�Data.Class�=>�bar.name�����names.arg=c("Mathematics",�"Korean",�"English",�"Science"),�����#�Data.Class�=>�bar.color����col=rainbow(4),����#�Y-axis�range����ylim=c(0,�100)����)

Barplots

Useless Colors

Remove colorbarplot(����#�Date.Score�=>�bar.height����c(80,�90,�60,�70),�����#�Data.Class�=>�bar.name����names.arg=c("Mathematics",�"Korean",�"English",�"Science"),�����#�Y-axis�range����ylim=c(0,�100)����)

Graph

Libreoffice Calc

Another DataClass Korean English Physics Biology Chemisry

Category Language Language Science Science Science

Score 90 85 70 75 60

Data Mapping Again

Data.Class�=>�bar.name

Data.Category�=>�bar.color

Data.Score�=>�bar.height

barplot(����#�Date.Score�=>�bar.height����c(90,�85,�70,�75,�60),�����#�Data.Class�=>�bar.name����names.arg=c("Korean",�"English",�"Physics",�"Biology",�"Chemistry"),����#�Data.Category�=>�Color����col=c("gold",�"gold",�"azure",�"azure",�"azure")����#�Y-axis�range����ylim=c(0,�100)����)

Graph

ggplot2Hadley�Wickham

그래프를�그리기�위한�R�패키지

R에서�가장�많이�쓰이는�패키지

#�ggplot2�패키지�설치install.packages('ggplot2')#�ggplot2�패키지�로드library(ggplot2)

�

The grammar of graphics

Leland�Wilkinson

ggplot2는�이�책의�이론에�기반

ggplot2�gg는�The�grammar�of�graphics의�줄임말

Data

data_class�=����c("Korean",�"English",�"Physics",�"Biology",�"Chemistry")data_score�=����c(90,�85,�70,�75,�60)data_category�=����c("language",�"language",�"science",�"science",�"science")score_data�=�data.frame(����class�=�data_class,����category�=�data_category,����score�=data_score����)

#�평가������class�category�score1����Korean�language����902���English�language����853���Physics��science����704���Biology��science����755�Chemistry��science����60

Source Code

#�그래프�시작,�데이터�지정bargraph�=�ggplot(score_data)�+����#�그래프�종류�지정����geom_bar()�+����#�데이터와�시각적�요소의�맵핑�1����#�Data.Class�=>�bar.name�����aes(x�=�class)�+����#�데이터와�시각적�요소의�맵핑�2����#�Data.Score�=>�bar.height����aes(y�=�score)�+����#�Y축�범위�지정����ylim(0,�100)

Graph

Mapping Category Data To Color

#�그래프�시작,�데이터�지정bargraph�=�ggplot(score_data)�+����#�그래프�종류�지정����geom_bar()�+����#�데이터와�시각적�요소의�맵핑�1����#�Data.Class�=>�bar.name�����aes(x�=�factor(class))�+����#�데이터와�시각적�요소의�맵핑�2����#�Data.Score�=>�bar.height����aes(y�=�score)�+����#�데이터와�시각적�요소의�맵핑�3����#�Data.Category�=>�bar.color����aes(fill�=�category)�+�����#�Y축�범위�지정����ylim(0,�100)

Graph

Coordination

#�그래프�시작,�데이터�지정bargraph�=�ggplot(score_data)�+����#�그래프�종류�지정����geom_bar()�+����#�데이터와�시각적�요소의�맵핑�1����#�Data.Class�=>�bar.name�����aes(x�=�class)�+����#�데이터와�시각적�요소의�맵핑�2����#�Data.Score�=>�bar.height����aes(y�=�score)�+����#�데이터와�시각적�요소의�맵핑�3����#�Data.Category�=>�bar.color����aes(fill�=�category)�+�����#�좌표계�지정����coord_flip()�+����#�Y축�범위�지정����ylim(0,�100)

Graph

Creating Graph Process

Creating Graph Process

Variables

Algebra

Scales

Statistics

Geometry

Coordinates

Aesthetics

Creating Graph Process

Process

Variables

Algebra

Scales

Statistics

Geometry

Coordinates

Aesthetics

Who

Science

Programmer

Designer

Mathematical GraphTwo�variables

3 Dimension

Three�variables

GapminderProf.�Hans�Rosling

What Dimension?

XY�space�is�not�2�demention�in�visualization

X

Y

Color

Size

Interaction

Year

Nation

…

�

Charles Joseph MinardWhat�Dimension?

Lapisan

MangakaMap

2008

Putne

2013

Moplo

2013

Thank you very much!