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https://github.com/kidwellj/re_connect_survey.git
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Data figuring
Making Q3 into its own file in order to see how that helps with making charts and graphs. TEST
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.Rapp.history
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.Rapp.history
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@ -66,8 +66,12 @@ pie(Q26_freq)
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#very messy as a pie chart - split by type? Or is it important to see crossover
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```{r Q3 bar/pie}
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Q3_data <- read.csv("Q3.csv")
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```
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pie(Q3_freq)
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#also not optimal as pie...perhaps bar
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64
data/.Rhistory
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data/.Rhistory
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@ -0,0 +1,64 @@
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connect_data = read.csv("connectDATA.csv")
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connect_data = read.csv("connectDATA.csv")
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head(connect_data)
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View(connect_data)
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table(connect_data$Q25)
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Q25_frequencies = table(connect_data$Q25)
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Q25_frequencies = table(connect_data$Q25)
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Q26_freq = table(connect_data$Q26)
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Q25_frequencies = table(connect_data$Q25)
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Q26_freq = table(connect_data$Q26)
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Q26_freq
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connect_data = read.csv("connectDATA.csv")
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head(connect_data)
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connect_data = read.csv("connectDATA.csv")
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connect_data = read.csv("connectDATA.csv")
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view(connect_data)
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View(connect_data)
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Q25_frequencies = table(connect_data$Q25)
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Q26_freq = table(connect_data$Q26)
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Q26_freq
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Q25_frequencies = table(connect_data$Q25)
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Q_25_frequencies
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Q26_freq = table(connect_data$Q26)
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Q26_freq
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Q25_frequencies = table(connect_data$Q25)
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Q_25frequencies
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Q26_freq = table(connect_data$Q26)
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Q26_freq
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Q_25frequencies
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Q25_frequencies = table(connect_data$Q25)
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Q25_25frequencies
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Q25_frequencies
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test3 = as.factor(connect_data$Q3, levels = c(1, 2, 3, 4, 5), labels = c("Worldviews", "Religion", "Theology", "Ethics", "Philosophy"))
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pie(connect_data$Q25, labels = names(connect_data$Q25))
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pie(Q25_frequencies, labels = names(connect_data$Q25))
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pie(Q25_frequencies, labels = names(c("maybe", "yes", "no")))
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pie(Q25_frequencies, labels = names(connect_data$Q25))
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names(Q25_frequencies = c("Maybe", "No", "Yes"))
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pie(Q25_frequencies, labels = c("Maybe", "No", "Yes"))
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pie(Q26_freq)
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Q25_frequencies = table(connect_data$Q25)
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Q25_frequencies
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Q26_freq = table(connect_data$Q26)
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Q26_freq
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Q3_freq = table(connect_data$Q3)
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Q25_frequencies = table(connect_data$Q25)
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Q25_frequencies
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Q26_freq = table(connect_data$Q26)
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Q26_freq
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Q3_freq = table(connect_data$Q3)
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Q3_freq
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pie(Q3_freq)
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knitr::opts_chunk$set(echo = TRUE)
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pie(Q25_frequencies, labels = c("Maybe", "No", "Yes"))
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cor(Q_20, Q_22, data=connect_data)
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cor(connect_data$Q_20, connect_dataQ_22)
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cor(connect_data$Q_20, connect_data$Q_22)
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Q3_data <- read.csv("Q3.csv")
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setwd("~/Documents/GitHub/re_connect_survey/data")
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Q3_data <- read.csv("Q3.csv")
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read.csv("Q3.csv)
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data=read.csv("Q3.csv)
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Q3_data <- read.csv("Q3.csv")
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Q3_data <- read.csv("Q3.csv")
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86
data/Q3.csv
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data/Q3.csv
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@ -0,0 +1,86 @@
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Q3,Participant,Worldviews,Religion,Theology,Ethics,Philosophy
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"2,3,4,5",1,FALSE,TRUE,TRUE,TRUE,TRUE
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"1,2,3,4,5",2,TRUE,TRUE,TRUE,TRUE,TRUE
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"1,2,3,4,5",3,TRUE,TRUE,TRUE,TRUE,TRUE
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"2,5",4,FALSE,TRUE,FALSE,FALSE,TRUE
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"1,2,3,4,5",5,TRUE,TRUE,TRUE,TRUE,TRUE
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"1,2,3,5",6,TRUE,TRUE,TRUE,FALSE,TRUE
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"1,2,3,4,5",7,TRUE,TRUE,TRUE,TRUE,TRUE
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"2,3,4,5",8,FALSE,TRUE,TRUE,TRUE,TRUE
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"1,2,3,4,5",9,TRUE,TRUE,TRUE,TRUE,TRUE
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"1,2,3,4,5",10,TRUE,TRUE,TRUE,TRUE,TRUE
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"1,2,3,5",11,TRUE,TRUE,TRUE,FALSE,TRUE
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"1,2,3,4,5",12,TRUE,TRUE,TRUE,TRUE,TRUE
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"1,2,3,4,5",13,TRUE,TRUE,TRUE,TRUE,TRUE
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"2,4,5",14,FALSE,TRUE,FALSE,TRUE,TRUE
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"1,2,3,4,5",15,TRUE,TRUE,TRUE,TRUE,TRUE
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2,16,FALSE,TRUE,FALSE,FALSE,FALSE
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"1,2,3,4,5",17,TRUE,TRUE,TRUE,TRUE,TRUE
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"1,2,4,5",18,TRUE,TRUE,FALSE,TRUE,TRUE
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2,19,FALSE,TRUE,FALSE,FALSE,FALSE
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"1,2,3,4,5",20,TRUE,TRUE,TRUE,TRUE,TRUE
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"1,2,3,4,5",21,TRUE,TRUE,TRUE,TRUE,TRUE
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"1,2,3,4,5",22,TRUE,TRUE,TRUE,TRUE,TRUE
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"2,3,4,5",23,FALSE,TRUE,TRUE,TRUE,TRUE
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"1,2,3,4,5",24,TRUE,TRUE,TRUE,TRUE,TRUE
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"1,2,3,4,5",25,TRUE,TRUE,TRUE,TRUE,TRUE
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2,26,FALSE,TRUE,FALSE,FALSE,FALSE
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"1,2",27,TRUE,TRUE,FALSE,FALSE,FALSE
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"1,2",28,TRUE,TRUE,FALSE,FALSE,FALSE
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"1,2",29,TRUE,TRUE,FALSE,FALSE,FALSE
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"1,2,3,4,5",30,TRUE,TRUE,TRUE,TRUE,TRUE
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2,31,FALSE,TRUE,FALSE,FALSE,FALSE
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"1,2,3,4,5",32,TRUE,TRUE,TRUE,TRUE,TRUE
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"1,2,3,4",33,TRUE,TRUE,TRUE,TRUE,FALSE
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"1,2,3,4,5",34,TRUE,TRUE,TRUE,TRUE,TRUE
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"1,2,3,4,5",35,TRUE,TRUE,TRUE,TRUE,TRUE
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"1,2",36,TRUE,TRUE,FALSE,FALSE,FALSE
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"1,2,3,4,5",37,TRUE,TRUE,TRUE,TRUE,TRUE
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"1,2,3,4,5",38,TRUE,TRUE,TRUE,TRUE,TRUE
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"2,3,5",39,FALSE,TRUE,TRUE,FALSE,TRUE
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"1,2,3,4,5",40,TRUE,TRUE,TRUE,TRUE,TRUE
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2,41,FALSE,TRUE,FALSE,FALSE,FALSE
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2,42,FALSE,TRUE,FALSE,FALSE,FALSE
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2,43,FALSE,TRUE,FALSE,FALSE,FALSE
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"1,2",44,TRUE,TRUE,FALSE,FALSE,FALSE
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"1,2,3,4,5",45,TRUE,TRUE,TRUE,TRUE,TRUE
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"1,2,3,4,5",46,TRUE,TRUE,TRUE,TRUE,TRUE
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"1,2,3,4,5",47,TRUE,TRUE,TRUE,TRUE,TRUE
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2,48,FALSE,TRUE,FALSE,FALSE,FALSE
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2,49,FALSE,TRUE,FALSE,FALSE,FALSE
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2,50,FALSE,TRUE,FALSE,FALSE,FALSE
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"1,2",51,TRUE,TRUE,FALSE,FALSE,FALSE
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2,52,FALSE,TRUE,FALSE,FALSE,FALSE
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"2,4,5",53,FALSE,TRUE,FALSE,TRUE,TRUE
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"1,2,4,5",54,TRUE,TRUE,FALSE,TRUE,TRUE
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"2,3,4,5",55,FALSE,TRUE,TRUE,TRUE,TRUE
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"1,2,3",56,TRUE,TRUE,TRUE,FALSE,FALSE
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2,57,FALSE,TRUE,FALSE,FALSE,FALSE
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"1,2,3,5",58,TRUE,TRUE,TRUE,FALSE,TRUE
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"1,2,3,4,5",59,TRUE,TRUE,TRUE,TRUE,TRUE
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2,60,FALSE,TRUE,FALSE,FALSE,FALSE
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"2,3,4,5",61,FALSE,TRUE,TRUE,TRUE,TRUE
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"1,2",62,TRUE,TRUE,FALSE,FALSE,FALSE
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"1,2,3,4,5",63,TRUE,TRUE,TRUE,TRUE,TRUE
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"1,2,3,4,5",64,TRUE,TRUE,TRUE,TRUE,TRUE
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"2,3,4,5",65,FALSE,TRUE,TRUE,TRUE,TRUE
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"1,2",66,TRUE,TRUE,FALSE,FALSE,FALSE
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"1,2",67,TRUE,TRUE,FALSE,FALSE,FALSE
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4,68,FALSE,FALSE,FALSE,TRUE,FALSE
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"1,2,3,4,5",69,TRUE,TRUE,TRUE,TRUE,TRUE
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2,70,FALSE,TRUE,FALSE,FALSE,FALSE
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"1,2,4,5",71,TRUE,TRUE,FALSE,TRUE,TRUE
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"1,2",72,TRUE,TRUE,FALSE,FALSE,FALSE
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"1,2",73,TRUE,TRUE,FALSE,FALSE,FALSE
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"1,2",74,TRUE,TRUE,FALSE,FALSE,FALSE
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2,75,FALSE,TRUE,FALSE,FALSE,FALSE
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"2,3,4,5",76,FALSE,TRUE,TRUE,TRUE,TRUE
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"1,2",77,TRUE,TRUE,FALSE,FALSE,FALSE
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2,78,FALSE,TRUE,FALSE,FALSE,FALSE
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2,79,FALSE,TRUE,FALSE,FALSE,FALSE
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2,80,FALSE,TRUE,FALSE,FALSE,FALSE
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"1,2,4",81,TRUE,TRUE,FALSE,TRUE,FALSE
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"1,5",82,TRUE,FALSE,FALSE,FALSE,TRUE
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"1,2",83,TRUE,TRUE,FALSE,FALSE,FALSE
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"1,2,4,5",84,TRUE,TRUE,FALSE,TRUE,TRUE
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2,85,FALSE,TRUE,FALSE,FALSE,FALSE
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