This document discusses data visualization and mapping variables to visual elements in graphs. It explains how to create bar plots in R using the barplot() and ggplot2 packages. Examples are provided to map class, score, and category variables from sample data to the x-axis, y-axis, bar names, bar heights, and bar colors. The document also covers concepts like the grammar of graphics, scales, coordinates, and the process of creating graphs with variables, algebra, geometry, aesthetics and dimensions beyond the standard two-dimensional XY space.

1. Visualization and Data Mapping
Daekwon Kim
propellerheaven@gmail.com

3. King Sejong

4. William Playfair

5. Score Data
Class
Mathematics
Korean
English
Science
Score
80
90
60
50

6. 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)
)

7. Graph

8. Data mapping
데이터(변수)를눈에보이는요소에연결시키는일
위표에서우리가가진변수
과목(Class):Nominal
점수(Score):Ratio

9. Variables = Aesthetics
Class=barorbar.name
Score=bar.height

10. Graph Again

11. Where is the color?
Graphliteracy

12. 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-axisrange
ylim=c(0,100)
)

13. Barplots

14. Useless Colors

15. Remove color
barplot(
#Date.Score=bar.height
c(80,90,60,70),
#Data.Class=bar.name
names.arg=c(Mathematics,Korean,English,Science),
#Y-axisrange
ylim=c(0,100)
)

16. Graph

17. Libreoffice Calc

18. Another Data
Class
Korean
English
Physics
Biology
Chemisry
Category
Language
Language
Science
Science
Science
Score
90
85
70
75
60

19. 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-axisrange
ylim=c(0,100)
)

20. Graph

21. ggplot2
HadleyWickham
그래프를그리기위한R패키지
R에서가장많이쓰이는패키지
#ggplot2패키지설치
install.packages('ggplot2')
#ggplot2패키지로드
library(ggplot2)

22. The grammar of graphics
LelandWilkinson
ggplot2는이책의이론에기반
ggplot2gg는Thegrammarofgraphics의줄임말

23. 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
classcategoryscore
1Koreanlanguage90
2Englishlanguage85
3Physicsscience70
4Biologyscience75
5Chemistryscience60

24. Source Code
#그래프시작,데이터지정
bargraph=ggplot(score_data)+
#그래프종류지정
geom_bar()+
#데이터와시각적요소의맵핑1
#Data.Class=bar.name
aes(x=class)+
#데이터와시각적요소의맵핑2
#Data.Score=bar.height
aes(y=score)+
#Y축범위지정
ylim(0,100)

25. Graph

26. Mapping Category Data To Color
#그래프시작,데이터지정
bargraph=ggplot(score_data)+
#그래프종류지정
geom_bar()+
#데이터와시각적요소의맵핑1
#Data.Class=bar.name
aes(x=factor(class))+
#데이터와시각적요소의맵핑2
#Data.Score=bar.height
aes(y=score)+
#데이터와시각적요소의맵핑3
#Data.Category=bar.color
aes(fill=category)+
#Y축범위지정
ylim(0,100)

27. Graph

28. Coordination
#그래프시작,데이터지정
bargraph=ggplot(score_data)+
#그래프종류지정
geom_bar()+
#데이터와시각적요소의맵핑1
#Data.Class=bar.name
aes(x=class)+
#데이터와시각적요소의맵핑2
#Data.Score=bar.height
aes(y=score)+
#데이터와시각적요소의맵핑3
#Data.Category=bar.color
aes(fill=category)+
#좌표계지정
coord_flip()+
#Y축범위지정
ylim(0,100)

29. Graph

30. Creating Graph Process

31. Creating Graph Process
Variables
Algebra
Scales
Statistics
Geometry
Coordinates
Aesthetics

32. Creating Graph Process
Process
Variables
Algebra
Scales
Statistics
Geometry
Coordinates
Aesthetics
Who
Science
Programmer
Designer

33. Mathematical Graph
Twovariables

34. 3 Dimension
Threevariables

35. Gapminder
Prof.HansRosling

36. What Dimension?
XYspaceisnot2dementioninvisualization
X
Y
Color
Size
Interaction
Year
Nation
…

37. Charles Joseph Minard
WhatDimension?

38. Lapisan

39. MangakaMap
2008

40. Putne
2013

41. Moplo
2013

42. Thank you very much!