-
Notifications
You must be signed in to change notification settings - Fork 2
/
app_Mar2022DemoData_CA.R
193 lines (158 loc) · 9.82 KB
/
app_Mar2022DemoData_CA.R
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176
177
178
179
180
181
182
183
184
185
186
187
188
189
190
191
192
193
##########
#US CENSUS BUREAU PRIVACY PROTECTED 2010 DEMONSTRATION DATA FOR CALIFORNIA
#
#DEMONSTRATION DATA DOWNLOADED MARCH 18, 2022 FROM THE US CENSUS BUREAU
#PUBLISHED 2010 CENSUS DATA DOWNLOADED JULY 15, 2020 FROM IPUMS NHGIS, UNIVERSITY OF MINNESOTA: https://www.nhgis.org/privacy-protected-demonstration-data
#THIS IS UPDATE OF https://shiny.demog.berkeley.edu/DP2010DemoData_CA_Jul2020/
#
#EDDIE HUNSINGER, MARCH 2022
#https://edyhsgr.github.io/
#
#THERE IS NO WARRANTY FOR THIS CODE
#THIS CODE HAS NOT BEEN TESTED AT ALL-- PLEASE LET ME KNOW IF YOU FIND ANY PROBLEMS ([email protected])
##########
##########
##DOWNLOADING AND SELECTING DATA FROM US CENSUS BUREAU'S MARCH 2022 DEMONSTRATION DATASET
##https://www2.census.gov/programs-surveys/decennial/2020/program-management/data-product-planning/2010-demonstration-data-products/02-Demographic_and_Housing_Characteristics/2022-03-16_Summary_File/
##https://content.govdelivery.com/accounts/USCENSUS/bulletins/30eee33
##########
#download.file("https://www2.census.gov/programs-surveys/decennial/2020/program-management/data-product-planning/2010-demonstration-data-products/02-Demographic_and_Housing_Characteristics/2022-03-16_Summary_File/2022-03-16_Summary_File_Person/California/ca2010.dhc.zip",
# destfile=".../CA_March2022Demonstration.zip")
#
#Names_DP<-data.frame(read.table(unzip(".../CA_March2022Demonstration.zip","cageo2010.dhc"),sep="|",fill=TRUE))
# Names_DP<-Names_DP[,c(1:9,88)]
#
#DataSelectionAge_DP<-data.frame(read.table(unzip(".../CA_March2022Demonstration.zip","ca000022010.dhc"),sep="|",fill=TRUE))
# DataSelectionAge_DP<-DataSelectionAge_DP[,c(1:5,150:198)]
#DataSelectionRaceHisp_DP<-data.frame(read.table(unzip(".../CA_March2022Demonstration.zip","ca000012010.dhc"),sep="|",fill=TRUE))
# DataSelectionRaceHisp_DP<-DataSelectionRaceHisp_DP[,c(1:5,25:32)]
#DataSelection_DP<-merge(DataSelectionAge_DP,DataSelectionRaceHisp_DP,by="V5")
#Data_DP<-merge(Names_DP,DataSelection_DP,by.x="V8",by.y="V5")
#
#Data_DP_counties<-Data_DP[Data_DP$V3==50,]
#Data_DP_counties<-Data_DP_counties[Data_DP_counties$V5=="00",]
#Data_DP_counties<-Data_DP_counties[!duplicated(Data_DP_counties), ]
#
#Data_DP_places<-Data_DP[Data_DP$V3==160,]
#Data_DP_places<-Data_DP_places[Data_DP_places$V5=="00",]
#Data_DP_places<-Data_DP_places[!duplicated(Data_DP_places), ]
#
#Data_DP<-rbind(Data_DP_counties,Data_DP_places)
#colnames(Data_DP)<-seq(1:ncol(Data_DP))
#
#head(Data_DP[,1:10],5)
#
#write.table(Data_DP,file=".../Select_USCensusBureauMarch2022DP2010Demonstration.csv",sep=",",row.names=FALSE)
##########
library(shiny)
Names<-read.table(file="https://github.com/edyhsgr/DP2010DemoDataReview/raw/master/nhgis_ppdd_20200527_place_county_names_CA.csv",header=TRUE,sep=",")
Names<-Names$name
ui<-fluidPage(
tags$h3("U.S. Census Bureau's 2010 Demonstration Data (March 2022 release): Population by Demographic Characteristics, California Counties, Cities, and Places"),
p("Demonstration data downloaded March 18, 2022 from the ",
tags$a(href="https://content.govdelivery.com/accounts/USCENSUS/bulletins/30eee33", "US Census Bureau.")),
p("Published 2010 Census data downloaded July 15, 2020 from ",
tags$a(href="https://www.nhgis.org/privacy-protected-demonstration-data", "IPUMS NHGIS, University of Minnesota.")),
p("Update of ",
tags$a(href="https://shiny.demog.berkeley.edu/eddieh/DP2010DemoData_CA_Jul2020/", "July 2020."),
"",
"",
tags$a(href="",
"")
),
hr(),
sidebarLayout(
sidebarPanel(
selectizeInput(inputId = "Area", label = "County, city, or census designated place (CDP)",
choices = Names,
options = list(placeholder = "Type in a county, city, or place to see graphs", multiple = TRUE, maxOptions = 5000, onInitialize = I('function() { this.setValue(""); }'))
),
hr(),
p("This interface was made with ",
tags$a(href="https://shiny.rstudio.com/",
"Shiny for R."),
tags$a(href="https://github.com/edyhsgr/DP2010DemoDataReview",
"Related GitHub repository."),
"March 2022."),
width=3
),
mainPanel(
plotOutput("plots"),width=3)
)
)
PopData<-read.table(file="https://github.com/edyhsgr/DP2010DemoDataReview/raw/master/nhgis_ppdd_20200527_place_county_CA.csv",header=TRUE,sep=",")
Data_DPMarch2022<-read.table(file="https://github.com/edyhsgr/DP2010DemoDataReview/raw/master/Select_USCensusBureauMarch2022DP2010Demonstration.csv",header=TRUE,sep=",")
PopData<-merge(PopData,Data_DPMarch2022,by.x="name",by.y="X10",all=TRUE)
server<-function(input,output) {
output$plots<-renderPlot({
par(mfrow=c(2,2)) #,mai=c(0.5,0.5,0.5,0.5))
AgeMale<-subset(PopData, PopData$name==input$Area) #input$Area
AgeMale$H76006_sf<-sum(AgeMale$H76006_sf,AgeMale$H76007_sf)
AgeMale$H76008_sf<-sum(AgeMale$H76008_sf,AgeMale$H76009_sf,AgeMale$H76010_sf)
AgeMale$H76018_sf<-sum(AgeMale$H76018_sf,AgeMale$H76019_sf)
AgeMale$H76020_sf<-sum(AgeMale$H76020_sf,AgeMale$H76021_sf)
AgeMale$H76006_dp<-sum(AgeMale$H76006_dp,AgeMale$H76007_dp)
AgeMale$H76008_dp<-sum(AgeMale$H76008_dp,AgeMale$H76009_dp,AgeMale$H76010_sf)
AgeMale$H76018_dp<-sum(AgeMale$H76018_dp,AgeMale$H76019_dp)
AgeMale$H76020_dp<-sum(AgeMale$H76020_dp,AgeMale$H76021_dp)
AgeMale$"X20"<-sum(AgeMale$"X20",AgeMale$"X21")
AgeMale$"X22"<-sum(AgeMale$"X22",AgeMale$"X23",AgeMale$"X24")
AgeMale$"X32"<-sum(AgeMale$"X32",AgeMale$"X33")
AgeMale$"X34"<-sum(AgeMale$"X34",AgeMale$"X35")
AgeMale<-AgeMale[,-c(1:322,327,329,330,339,341,346:698,703,705,706,715,717,722:755)]
AgeMale<-AgeMale[,-c(37:51,56,58:59,68,70,75:110)]
AgeFemale<-subset(PopData, PopData$name==input$Area)
AgeFemale$H76030_sf<-sum(AgeFemale$H76030_sf,AgeFemale$H76031_sf)
AgeFemale$H76032_sf<-sum(AgeFemale$H76032_sf,AgeFemale$H76033_sf,AgeFemale$H76034_sf)
AgeFemale$H76042_sf<-sum(AgeFemale$H76042_sf,AgeFemale$H76043_sf)
AgeFemale$H76044_sf<-sum(AgeFemale$H76044_sf,AgeFemale$H76045_sf)
AgeFemale$H76030_dp<-sum(AgeFemale$H76030_dp,AgeFemale$H76031_dp)
AgeFemale$H76032_dp<-sum(AgeFemale$H76032_dp,AgeFemale$H76033_dp,AgeFemale$H76034_sf)
AgeFemale$H76042_dp<-sum(AgeFemale$H76042_dp,AgeFemale$H76043_dp)
AgeFemale$H76044_dp<-sum(AgeFemale$H76044_dp,AgeFemale$H76045_dp)
AgeFemale$"X44"<-sum(AgeFemale$"X44",AgeFemale$"X45")
AgeFemale$"X46"<-sum(AgeFemale$"X46",AgeFemale$"X47",AgeFemale$"X48")
AgeFemale$"X56"<-sum(AgeFemale$"X56",AgeFemale$"X57")
AgeFemale$"X58"<-sum(AgeFemale$"X58",AgeFemale$"X59")
AgeFemale<-AgeFemale[,-c(1:346,351,353,354,363,365,370:722,727,729,730,739,741,746:755)]
AgeFemale<-AgeFemale[,-c(37:75,80,82:83,92,94,99:110)]
##GRAPHS
if(input$Area=="") {
plot.new()
legend("topleft",legend=c("Select a county, city, or place with the panel to the left"),cex=1.5,bty="n")
}
if(input$Area!="") {
#Graphs 1 and 2
agegroups<-c("0-4","5-9", "10-14", "15-19", "20-24", "25-29", "30-34", "35-39", "40-44", "45-49", "50-54", "55-59", "60-64", "65-69", "70-74", "75-79", "80-84", "85+")
options(scipen = 999)
fill_color = rgb(0,.6,.9,alpha=.5)
barplot(as.matrix(AgeMale[37:54]),horiz=T,names=agegroups,space=0,xlim=c(max(as.matrix(AgeMale[19:36]))*2,0),las=1,col=fill_color,border=rgb(0,0,0,0))
par(new=TRUE)
barplot(as.matrix(AgeMale[c(19:36)]),horiz=T,names=agegroups,space=0,xlim=c(max(as.matrix(AgeMale[c(19:36)]))*2,0),las=1,col=rgb(0,0,0,0))
mtext(side=1,line=3,adj=.5,text=expression("Male"),font=.7,cex=1.5)
mtext(side=1,line=-55,at=0,text=paste(c("Population by Age and Sex, ", input$Area),collapse=""),font=1,cex=1.75)
legend(max(as.matrix(AgeMale[19:36]))*1.85, 18, legend=c("2010 Census Data with Differential Privacy","Published 2010 Census Data"), col=c(fill_color,rgb(0,1,1,0)),border=rgb(0,0,0,0), pt.cex=2, pch=15, cex=1.5, bty ="n", y.intersp=1.25)
legend(max(as.matrix(AgeMale[19:36]))*1.85, 18, legend=c("",""), col=c(fill_color, rgb(0,0,0)), pt.cex=2, pch=0, cex=1.5, bty ="n", y.intersp=1.25)
mtext(side=1,line=6,adj=0,text=paste(c("Source: U.S. Census Bureau's 2010 Demonstration Data (March 2022 release). Published 2010 Census data accessed via IPUMS NHGIS, July 2020."),collapse=""),font=.5,cex=1)
barplot(as.matrix(AgeFemale[37:54]),horiz=T,names.arg=array("",18),space=0,xlim=c(0,max(as.matrix(AgeMale[19:36]))*2),las=1,col=fill_color,border=rgb(0,0,0,0))
par(new=TRUE)
barplot(as.matrix(AgeFemale[19:36]),horiz=T,names.arg=array("",18),space=0,xlim=c(0,max(as.matrix(AgeMale[19:36]))*2),las=1,col=rgb(0,0,0,0))
mtext(side=1,line=3,adj=.5,text=expression("Female"),font=.7,cex=1.5)
##Graphs 3 and 4
Race<-subset(PopData, PopData$name==input$Area)
RaceSF<-c(Race$H7Z003_sf,Race$H7Z004_sf,Race$H7Z005_sf,Race$H7Z006_sf+Race$H7Z007_sf,Race$H7Z008_sf+Race$H7Z009_sf,Race$H7Z010_sf)
RaceDP<-c(Race$X68,Race$X69,Race$X70,Race$X71+Race$X72,Race$X73+Race$X74,Race$X75)
RaceTable<-cbind(RaceSF,RaceDP)
colors<-c(2,3,4,5,6,7)
colors<-adjustcolor(colors, alpha.f = 0.5)
barplot(RaceTable,col=colors,ylim=c(0,sum(RaceSF)*1.35),names.arg=c("Published 2010 Census Data","2010 Census Data with Differential Privacy"),axes=FALSE,cex.names=1.25)
mtext(side=1,line=-42,adj=.18,text=paste(c("Total population: ",sum(RaceSF)),collapse=""),font=.5,cex=1)
mtext(side=1,line=-42*(sum(RaceDP)/sum(RaceSF)),adj=.82,text=paste(c("Total population: ",sum(RaceDP)),collapse=""),font=.5,cex=1)
mtext(side=1,line=-50,at=2.5,text=paste(c("Population by Race and Hispanic Origin Groupings, ", input$Area),collapse=""),font=1,cex=1.75)
mtext(side=1,line=4,adj=0,text=paste(c("Source: U.S. Census Bureau's 2010 Demonstration Data (March 2022 release). Published 2010 Census data accessed via IPUMS NHGIS, University of Minnesota, July 2020."),collapse=""),font=.5,cex=1)
plot.new()
legend("left",legend=rev(c("White, not Hispanic","Black, not Hispanic","American Indian or Alaska Native, not Hispanic","Asian or Pacific Islander, not Hispanic","Two+ or Other, not Hispanic","Hispanic")),fill=rev(c(colors)),cex=1.5,bty="n")
}
},height=1500,width=1100)
}
shinyApp(ui = ui, server = server)