1. Stat. 4868/6610 Data Visualization Name: ___Christina Huang________
Department of Statistics and Biostatistics (print First Last )
CSU East Bay Class Number:___STAT 6610________
Source: January, 2011 to February, 2015 from China Labour Bulletin website.
1. b. The time plot for each Location by Tableau
China Labour Strikes (2011-2015)
Beijing Labour
Strikes 2011-2015
Chongqing Labour
Strikes 2011-2015
Guangdong Labour
Strikes 2011-2015
Shanghai Labour
Strikes 2011-2015
Labour Strikes Time
Series 2011-2015
Labour Strikes
Comparison
2011-2015
2011 2012 2013 2014 2015
Year
0
5
10
15
20

2. China Labour Strikes (2011-2015)
Beijing Labour
Strikes 2011-2015
Chongqing Labour
Strikes 2011-2015
Guangdong Labour
Strikes 2011-2015
Shanghai Labour
Strikes 2011-2015
Labour Strikes Time
Series 2011-2015
Labour Strikes
Comparison
2011-2015
2011 2012 2013 2014 2015
Year
0
5
10
15
20
China Labour Strikes (2011-2015)
Beijing Labour
Strikes 2011-2015
Chongqing Labour
Strikes 2011-2015
Guangdong Labour
Strikes 2011-2015
Shanghai Labour
Strikes 2011-2015
Labour Strikes Time
Series 2011-2015
Labour Strikes
Comparison
2011-2015
2011 2012 2013 2014 2015
Year
0
50
100
150
200
250
300

3. 1. c. Nne plot with all four Locations on the time plot in different colors by Tableau
China Labour Strikes (2011-2015)
Chongqing Labour
Strikes 2011-2015
Guangdong Labour
Strikes 2011-2015
Shanghai Labour
Strikes 2011-2015
Labour Strikes Time
Series 2011-2015
Labour Strikes
Comparison
2011-2015
Labour Strikes Map
2011-2015
2011 2012 2013 2014 2015
Year
0
10
20
30
40
China Labour Strikes (2011-2015)
Guangdong Labour
Strikes 2011-2015
Shanghai Labour
Strikes 2011-2015
Labour Strikes Time
Series 2011-2015
Labour Strikes
Comparison
2011-2015
Labour Strikes Map
2011-2015
2011 2012 2013 2014 2015
Year
0
50
100
150
200
250
300
Shanghai
Guangdong
Locations
Beijing
Chongqing
Guangdong
Shanghai

4. 1. d. The clustered bar graph for the data by Tableau.
Optional stacked up bar graph:
China Labour Strikes (2011-2015)
Guangdong Labour
Strikes 2011-2015
Shanghai Labour
Strikes 2011-2015
Labour Strikes Time
Series 2011-2015
Labour Strikes
Comparison
2011-2015
Labour Strikes Map
2011-2015
Year
2011 2012 2013 2014 2015
0
50
100
150
200
250
300
54
642
154
12
5 2
243
13 10 11
301
20
44
22
42
5 86
Measure Names
Beijing
Chongqing
Guangdong
Shanghai

5. 1. e. The screen shots of each year from the dynamic bubble graph by Tableau are show below:
China Labour Strikes (2011-2015)
Guangdong Labour
Strikes 2011-2015
Shanghai Labour
Strikes 2011-2015
Labour Strikes Time
Series 2011-2015
Labour Strikes
Comparison
2011-2015
Labour Strikes Map
2011-2015
Guangdong
54
Shanghai
6
Beijing
2
Locations
Beijing
Chongqing
Guangdong
Shanghai
Num Strikes
2
100
200
301
Year of Year
2011
Show History
China Labour Strikes (2011-2015)
Guangdong Labour
Strikes 2011-2015
Shanghai Labour
Strikes 2011-2015
Labour Strikes Time
Series 2011-2015
Labour Strikes
Comparison
2011-2015
Labour Strikes Map
2011-2015
Beijing
5
Locations
Beijing
Chongqing
Guangdong
Shanghai
Num Strikes
2
100
200
301
Year of Year
2012
Show History

6. China Labour Strikes (2011-2015)
Guangdong Labour
Strikes 2011-2015
Shanghai Labour
Strikes 2011-2015
Labour Strikes Time
Series 2011-2015
Labour Strikes
Comparison
2011-2015
Labour Strikes Map
2011-2015
Beijing
13
Locations
Beijing
Chongqing
Guangdong
Shanghai
Num Strikes
2
100
200
301
Year of Year
2013
Show History
China Labour Strikes (2011-2015)
Guangdong Labour
Strikes 2011-2015
Shanghai Labour
Strikes 2011-2015
Labour Strikes Time
Series 2011-2015
Labour Strikes
Comparison
2011-2015
Labour Strikes Map
2011-2015
Beijing
20
Locations
Beijing
Chongqing
Guangdong
Shanghai
Num Strikes
2
100
200
301
Year of Year
2014
Show History

7. China Labour Strikes (2011-2015)
Guangdong Labour
Strikes 2011-2015
Shanghai Labour
Strikes 2011-2015
Labour Strikes Time
Series 2011-2015
Labour Strikes
Comparison
2011-2015
Labour Strikes Map
2011-2015
Guangdong
42
Chongqing
6
Shanghai
8
Beijing
5
Locations
Beijing
Chongqing
Guangdong
Shanghai
Num Strikes
2
100
200
301
Year of Year
2015
Show History

8. 2. The screen shots of each year from the dynamic bubble graph using google Chart Tools are shown
below:

11. Appendix
1. The data were collected from January, 2011 to February, 2015 from China Labour Bulletin
(http://maps.clb.org.hk/strikes/en). Data were recorded as monthly and saved in Excel spreadsheet
format. Two data sets (labour.csv and labour.alt.csv) were then generated by R codes to created plots in
Tableau.
# Project 01
#install.packages("xlsx", dependencies=TRUE)
#install.packages("lubridate", dependencies=TRUE)
#install.packages("zoo")
library(xlsx)
library(lubridate)
library(zoo)
# 1a.
strikes = read.xlsx("I:/STAT6610/Homework/project1/proj01_strikes.xlsx", sheetName="Labour",
as.data.frame=TRUE,header=TRUE)
# calculate strikes by year by locations
# This is to make one plot with all four Locations on the time plot in different colors.
# Also for dynamic bubble graph and stacked up bar graph.
year=rep(c("2011/12/31","2012/12/31","2013/12/31","2014/12/31", "2015/02/28"),4)
locations=rep(c("Beijing","Chongqing","Guangdong","Shanghai"),each=5)
num_strikes=numeric(length(year))
for (i in 1:length(year))
{
num_strikes[i]=sum(strikes$Strikes[which(year(strikes$Date)==year(year[i])
& (strikes$Locations==locations[i]))])
}
labour=data.frame(year, locations, num_strikes)
write.csv(labour, "I:/STAT6610/Homework/project1/labour.csv",row.names=FALSE )
# create another data set for individual bar graph and cluster bar graph
Year=c("2011/12/31","2012/12/31","2013/12/31","2014/12/31", "2015/02/28")
Beijing=num_strikes[1:5]
Chongqing=num_strikes[6:10]
Guangdong=num_strikes[11:15]
Shanghai=num_strikes[16:20]
labour.alt=data.frame(Year,Beijing,Chongqing,Guangdong,Shanghai)
write.csv(labour.alt, "I:/STAT6610/Homework/project1/labour.alt.csv",row.names=FALSE)

12. labour.csv
2. R code to produce the dynamic bubble graph using google Chart Tools.
install.packages("googleVis")
library(googleVis)
labour=read.csv("I:/STAT6610/Homework/project1/labour.csv",header=TRUE,sep=",")
# create another data set for dynamic bubble graph using google Chart Tools
Year = year(labour$year)
locations=labour$locations
num_strikes=labour$num_strikes
labour.g=data.frame(locations, Year, num_strikes)
M1 <- gvisMotionChart(labour.g, idvar="locations", timevar="Year",
sizevar="num_strikes")
plot(M1)