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proj_plots

C
Christina Huang

This document describes data visualizations of labor strike data in China from 2011-2015 using Tableau and Google Chart Tools. It includes time series plots, a plot with data for four locations in different colors, a clustered bar graph, screenshots of a dynamic bubble chart in Tableau for each year, and screenshots of a dynamic bubble chart created in Google Chart Tools. The data was obtained from the China Labour Bulletin website and preprocessed in R to generate CSV files for Tableau and Google Chart Tools.

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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
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
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
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
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
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
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
2. The screen shots of each year from the dynamic bubble graph using google Chart Tools are shown below:
proj_plots
proj_plots
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$Locations==locations[i]))]) } labour=data.frame(year, locations, num_strikes) write.csv(labour, "I:/STAT6610/Homework/project1/labour.csv",row.names=FALSE ) # create another data set for individual bar graph and cluster bar graph Year=c("2011/12/31","2012/12/31","2013/12/31","2014/12/31", "2015/02/28") Beijing=num_strikes[1:5] Chongqing=num_strikes[6:10] Guangdong=num_strikes[11:15] Shanghai=num_strikes[16:20] labour.alt=data.frame(Year,Beijing,Chongqing,Guangdong,Shanghai) write.csv(labour.alt, "I:/STAT6610/Homework/project1/labour.alt.csv",row.names=FALSE)
labour.csv 2. R code to produce the dynamic bubble graph using google Chart Tools. install.packages("googleVis") library(googleVis) labour=read.csv("I:/STAT6610/Homework/project1/labour.csv",header=TRUE,sep=",") # create another data set for dynamic bubble graph using google Chart Tools Year = year(labour$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)

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proj_plots

  • 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)