proj_plots

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 LabourStrikes 2011-2015

Chongqing LabourStrikes 2011-2015

Guangdong LabourStrikes 2011-2015

Shanghai LabourStrikes 2011-2015

Labour Strikes TimeSeries 2011-2015

Labour StrikesComparison2011-2015

2011 2012 2013 2014 2015Year

0

5

10

15

20







2011 2012 2013 2014 2015Year

0

5

10

15

20







2011 2012 2013 2014 2015Year

0

50

100

150

200

250

300

1. c. Nne plot with all four Locations on the time plot in different colors by Tableau

China Labour Strikes (2011-2015)Chongqing LabourStrikes 2011-2015





Labour Strikes Map2011-2015

2011 2012 2013 2014 2015Year

0

10

20

30

40

China Labour Strikes (2011-2015)Guangdong LabourStrikes 2011-2015





2011 2012 2013 2014 2015Year

0

50

100

150

200

250

300

Shanghai

Guangdong

LocationsBeijing

Chongqing

Guangdong

Shanghai

1. d. The clustered bar graph for the data by Tableau.

Optional stacked up bar graph:






Year

2011 2012 2013 2014 2015

0

50

100

150

200

250

300

54

642

154

125 2

243

13 10 11

301

20

44

22

42

5 86

Measure NamesBeijing

Chongqing

Guangdong

Shanghai

1. e. The screen shots of each year from the dynamic bubble graph by Tableau are show below:






Guangdong54

Shanghai6

Beijing2

LocationsBeijing

Chongqing

Guangdong

Shanghai

Num Strikes2

100

200

301

Year of Year2011

Show History






Beijing5

LocationsBeijing

Chongqing

Guangdong

Shanghai

Num Strikes2

100

200

301

Year of Year2012

Show History






Beijing13

LocationsBeijing

Chongqing

Guangdong

Shanghai

Num Strikes2

100

200

301

Year of Year2013

Show History






Beijing20

LocationsBeijing

Chongqing

Guangdong

Shanghai

Num Strikes2

100

200

301

Year of Year2014

Show History






Guangdong42

Chongqing6

Shanghai8

Beijing5

LocationsBeijing

Chongqing

Guangdong

Shanghai

Num Strikes2

100

200

301

Year of Year2015

Show History

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

Appendix1. 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 spreadsheetformat. Two data sets (labour.csv and labour.alt.csv) were then generated by R codes to created plots inTableau.

# 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 graphYear=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)

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 ToolsYear = year(labour$year)locations=labour$locationsnum_strikes=labour$num_strikeslabour.g=data.frame(locations, Year, num_strikes)M1 <- gvisMotionChart(labour.g, idvar="locations", timevar="Year",

sizevar="num_strikes")plot(M1)

proj_plots

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