From d98d1e7c7867cbebefdff85e5c55ae78373818b3 Mon Sep 17 00:00:00 2001
From: rehughes07 <58590776+rehughes07@users.noreply.github.com>
Date: Wed, 3 Nov 2021 17:34:51 +0000
Subject: [PATCH] More Data Working and Analyses

Beginning to work on the analyses based on participants' answers to the religious affiliation questions, including cleaning of the data, removal of incomplete data sets (based on visual inspection), and creation of separate .csv files as I have done with previous analyses.

So far no significant differences between the answers to questions and formal religious affiliation of the school.
---
 Connect Project R Markdown.Rmd                |  54 +++++-
 data/Q20_data.csv                             | 168 +++++++++--------
 data/Q26_data.csv                             | 172 +++++++++---------
 data/Religious affiliation data.csv           |  74 ++++++++
 .../RE_Teaching_Climate_Emergency_Survey.docx | Bin 29226 -> 37297 bytes
 5 files changed, 292 insertions(+), 176 deletions(-)
 create mode 100644 data/Religious affiliation data.csv

diff --git a/Connect Project R Markdown.Rmd b/Connect Project R Markdown.Rmd
index 1b7ab00..ecb4bff 100644
--- a/Connect Project R Markdown.Rmd	
+++ b/Connect Project R Markdown.Rmd	
@@ -30,17 +30,18 @@ Data summary/visualisation with subsetting:
 ```{r Frequencies}  
 #Frequencies#
   
-Q25_frequencies = table(connect_data$Q25)
+Q25_frequencies <- table(connect_data$Q25)
 Q25_frequencies
-Q26_freq = table(connect_data$Q26)
+Q26_freq <- table(connect_data$Q26)
 Q26_freq
-Q3_freq = table(connect_data$Q3)
+Q3_freq <- table(connect_data$Q3)
 Q3_freq
 
 #test3 = as.factor(connect_data$Q3, levels = c(1, 2, 3, 4, 5), labels = c("Worldviews", "Religion", "Theology", "Ethics", "Philosophy"))
 ```
 
 ```{r Q25 bar/pie}
+pie(Q25_frequencies, labels = c("Maybe", "No", "Yes"))
 pie(Q25_frequencies, labels = c("Maybe", "No", "Yes"), col = coul3)
 
 ```
@@ -84,7 +85,7 @@ Q3_data <- read.csv("./data/Q3.csv")
 #table(Q3_data [,3:7])
 #pie(table(Q3_data [,3:7]))
 
-Q3_data2 <- Q3_data[,3:7]
+Q3_data2 <- Q3_data[ ,3:7]
 #head(Q3_data2)
 #table(Q3_data2)
 #table(Q3_data2[,1])
@@ -240,3 +241,48 @@ summary(Q_27test)
   #No significant difference in responses to Q27 based on what they considered   important
 ```
   - RH: test for correlation between responses to religion questions: Q12-14, Q15-16 and Q21 and responses to Q22, Q23, Q27,  [Q24, Q25, Q30]
+  
+``` {r Analyses based on religious affiliation}
+religion_affiliation_data <- read.csv("./data/Religious affiliation data.csv")
+head(religion_affiliation_data)
+
+## Q12-14, with Q22, Q23, Q27
+  # Q12 is binary, 1st test whether difference in answers based on whether the school has formal religious character or not (similar ANOVA/MANOVA as the questions above)
+religion_affiliation_data$Q12 <- factor(religion_affiliation_data$Q12, levels = c("No", "Yes"), labels = c("No", "Yes"))
+
+  ## Q22
+formal_affiliation_test_Q22 <- t.test(Q22_average ~ Q12, data = religion_affiliation_data, paired = FALSE)
+formal_affiliation_test_Q22
+
+  ## Q23
+formal_affiliation_test_Q23 <- manova(cbind(Q23_1, Q23_2) ~ Q12, data = religion_affiliation_data)
+summary(formal_affiliation_test_Q23)
+
+  ## Q27
+formal_affiliation_test_Q27 <- manova(cbind(Q27_1, Q27_2, Q27_3, Q27_4, Q27_5, Q27_6, Q27_7) ~ Q12, data = religion_affiliation_data)
+summary(formal_affiliation_test_Q27)
+  
+# Then, if there is (or can anyway), explore only the "Yes" data, and see if there is a difference in answers based on the specific religious character -- Q13
+  # first subset the data
+Q13_data <- religion_affiliation_data[religion_affiliation_data$Q12 == "Yes", ]
+head(Q13_data)
+
+  # then analyze based on specific one
+Q13_data$Q13_recode <- factor(Q13_data$Q13_recode, levels = c(1, 2, 3, 4, 5, 6, 7, 8, 9, 10), labels = c("Church of England", "Roman Catholic", "Methodist", "Other Christian", "Jewish", "Muslim", "Sikh", "Hindu", "Multi-Faith", "None of the above"))
+
+  # Q22
+hist(Q13_data$Q22_average)
+specific_affiliation_test <- aov(Q22_average ~ Q13_recode, data = Q13_data)
+summary(specific_affiliation_test)
+
+  # Q23
+
+  # Q27
+
+## Q15-16 with Q22, Q23, Q27
+  # Q15 is binary; 1st test whether difference in answers based on whether the school has an informal religious character or not. Q16 provides further detail and can be explored
+
+
+## Q21 with Q22, Q23, Q27
+  # Q21 is personal religious affiliation. This may be more tricky as it is a free answer...but can code the type of religious affiliation and test that way? -- would be chi-square or some sort of non-para analysis due to the small number of respondents who answered this
+```
diff --git a/data/Q20_data.csv b/data/Q20_data.csv
index a0ba5cc..84afb12 100644
--- a/data/Q20_data.csv
+++ b/data/Q20_data.csv
@@ -1,86 +1,82 @@
-Q20,Q20_recode,brexit,economy,immigration,crime,health,education,housing,welfare,defence,environment,tax,pensions,family life,transport,Q22_1,Q22_2,Q22_average,Q23_1,Q23_2,Q27_1,Q27_2,Q27_3,Q27_4,Q27_5,Q27_6,Q27_7
-"health,education,environment","5,6,10",2,2,2,2,1,1,2,2,2,1,2,2,2,2,4,4,4,3,5,4,4,4,4,4,4,4
-"economy,immigration,crime,health,education,housing,welfare,defence,environment,family life,transport","2,3,4,5,6,7,8,9,10,13,14",2,1,1,1,1,1,1,1,1,1,2,2,1,1,4,3,3.5,2,5,4,5,5,3,4,4,4
-"crime,health,housing,welfare,environment","4,5,7,8,10",2,2,2,1,1,2,1,1,2,1,2,2,2,2,3,3,3,3,4,4,4,4,4,4,4,4
-"brexit,economy,immigration,crime,health,education,housing,welfare,defence,environment,tax,pensions,family life,transport","1,2,3,4,5,6,7,8,9,10,11,12,13,14",1,1,1,1,1,1,1,1,1,1,1,1,1,1,4,2,3,4,5,4,3,2,3,2,2,2
-"health,education,housing,welfare,environment,family life","5,6,7,8,10,13",2,2,2,2,1,1,1,1,2,1,2,2,1,2,4,2,3,1,4,5,4,2,5,4,3,3
-"brexit,economy,immigration,crime,health,education,housing,welfare,environment,tax,pensions,family life","1,2,3,4,5,6,7,8,10,11,12,13",1,1,1,1,1,1,1,1,2,1,1,1,1,2,4,3,3.5,3,3,4,4,2,3,2,3,2
-"crime,housing,environment","4,7,10",2,2,2,1,2,2,1,2,2,1,2,2,2,2,5,5,5,4,5,4,4,4,4,4,4,4
-,,2,2,2,2,2,2,2,2,2,2,2,2,2,2,5,5,5,5,1,5,5,5,5,5,5,5
-"economy,crime,health,welfare,environment","2,4,5,8,10",2,1,2,1,1,2,2,1,2,1,2,2,2,2,5,5,5,5,5,5,5,5,5,5,5,4
-"crime,health,education,housing,welfare,environment,family life","4,5,6,7,8,10,13",2,2,2,1,1,1,1,1,2,1,2,2,1,2,4,4,4,3,5,4,4,4,4,4,4,4
-"immigration,crime,health,education,housing,welfare,environment,family life","3,4,5,6,7,8,10,13",2,2,1,1,1,1,1,1,2,1,2,2,1,2,2,2,2,2,4,5,4,2,3,2,3,2
-"health,education,environment","5,6,10",2,2,2,2,1,1,2,2,2,1,2,2,2,2,2,2,2,4,4,3,4,2,4,4,4,3
-"immigration,crime,health,housing,welfare,family life","3,4,5,7,8,13",2,2,1,1,1,2,1,1,2,2,2,2,1,2,4,4,4,3,4,4,4,4,4,4,5,4
-"economy,immigration,health,education,housing,environment,pensions","2,3,5,6,7,10,12",2,1,1,2,1,1,1,2,2,1,2,1,2,2,3,3,3,2,4,3,3,3,4,4,4,5
-"brexit,economy,immigration,crime,health,education,housing,welfare,environment,family life","1,2,3,4,5,6,7,8,10,13",1,1,1,1,1,1,1,1,2,1,2,2,1,2,5,4,4.5,2,4,4,4,2,5,3,4,3
-"immigration,crime,health,education,welfare,family life","3,4,5,6,8,13",2,2,1,1,1,1,2,1,2,2,2,2,1,2,4,2,3,2,3,4,4,3,2,3,3,3
-"health,education,housing,welfare,environment,pensions,family life,transport","5,6,7,8,10,12,13,14",2,2,2,2,1,1,1,1,2,1,2,1,1,1,5,5,5,2,5,5,5,2,5,5,5,2
-"economy,education,environment","2,6,10",2,1,2,2,2,1,2,2,2,1,2,2,2,2,4,4,4,2,4,4,4,4,3,4,4,4
-"health,education,welfare,environment","5,6,8,10",2,2,2,2,1,1,2,1,2,1,2,2,2,2,4,2,3,2,3,2,2,2,1,2,3,1
-"brexit,economy,immigration,health,education,housing,welfare,environment","1,2,3,5,6,7,8,10",1,1,1,2,1,1,1,1,2,1,2,2,2,2,4,2,3,1,5,4,4,4,4,4,2,2
-"brexit,economy,immigration,crime,health,education,housing,welfare,defence,environment,tax,pensions,family life,transport","1,2,3,4,5,6,7,8,9,10,11,12,13,14",1,1,1,1,1,1,1,1,1,1,1,1,1,1,5,4,4.5,4,3,5,5,4,5,5,5,5
-"brexit,economy,immigration,crime,health,education,housing,welfare,defence,environment,tax,pensions,family life,transport","1,2,3,4,5,6,7,8,9,10,11,12,13,14",1,1,1,1,1,1,1,1,1,1,1,1,1,1,5,5,5,5,3,4,4,4,5,5,4,5
-"brexit,economy,immigration,crime,health,education,housing,welfare,defence,environment,tax,pensions,family life,transport","1,2,3,4,5,6,7,8,9,10,11,12,13,14",1,1,1,1,1,1,1,1,1,1,1,1,1,1,5,4,4.5,4,4,4,5,3,3,4,3,3
-"brexit,economy,immigration,crime,health,education,housing,welfare,defence,environment,tax,pensions,family life,transport","1,2,3,4,5,6,7,8,9,10,11,12,13,14",1,1,1,1,1,1,1,1,1,1,1,1,1,1,5,4,4.5,2,3,5,5,4,5,5,5,4
-"economy,immigration,health,education,environment","2,3,5,6,10",2,1,1,2,1,1,2,2,2,1,2,2,2,2,5,4,4.5,2,3,5,5,4,4,5,5,4
-"economy,health,education,housing,environment,family life","2,5,6,7,10,13",2,1,2,2,1,1,1,2,2,1,2,2,1,2,5,5,5,4,4,5,5,5,5,5,5,5
-"immigration,crime,health,education,housing,environment,family life","3,4,5,6,7,10,13",2,2,1,1,1,1,1,2,2,1,2,2,1,2,4,2,3,2,5,5,5,4,2,4,2,2
-"health,education,housing,welfare,environment,family life","5,6,7,8,10,13",2,2,2,2,1,1,1,1,2,1,2,2,1,2,4,4,4,2,4,4,4,2,4,4,4,3
-"crime,health,education,welfare,environment,family life","4,5,6,8,10,13",2,2,2,1,1,1,2,1,2,1,2,2,1,2,4,2,3,2,1,5,5,2,4,4,4,4
-"immigration,crime,health,education,welfare,environment,tax,transport","3,4,5,6,8,10,11,14",2,2,1,1,1,1,2,1,2,1,1,2,2,1,4,2,3,4,4,5,5,4,4,2,4,2
-"crime,health,education,housing,welfare,family life","4,5,6,7,8,13",2,2,2,1,1,1,1,1,2,2,2,2,1,2,4,4,4,2,2,4,4,4,1,2,2,2
-"brexit,economy,immigration,crime,health,education,housing,welfare,defence,environment,tax,pensions,family life,transport","1,2,3,4,5,6,7,8,9,10,11,12,13,14",1,1,1,1,1,1,1,1,1,1,1,1,1,1,4,3,3.5,3,4,4,5,3,4,5,5,3
-"economy,immigration,crime,health,education,housing,welfare,environment,family life","2,3,4,5,6,7,8,10,13",2,1,1,1,1,1,1,1,2,1,2,2,1,2,5,4,4.5,4,5,5,5,5,4,4,4,4
-"immigration,health,education,housing,welfare,environment","3,5,6,7,8,10",2,2,1,2,1,1,1,1,2,1,2,2,2,2,4,4,4,4,4,4,5,4,5,5,5,4
-"immigration,crime,health,education,housing,welfare,defence,environment,tax,pensions,family life,transport","3,4,5,6,7,8,9,10,11,12,13,14",2,2,1,1,1,1,1,1,1,1,1,1,1,1,4,4,4,2,3,4,4,3,5,4,4,4
-"immigration,education,family life","3,6,13",2,2,1,2,2,1,2,2,2,2,2,2,1,2,4,3,3.5,4,3,4,2,4,1,2,2,2
-"economy,immigration,health,education,environment,family life","2,3,5,6,10,13",2,1,1,2,1,1,2,2,2,1,2,2,1,2,4,3,3.5,4,5,5,5,2,4,4,5,2
-"brexit,economy,immigration,crime,health,education,housing,environment,family life","1,2,3,4,5,6,7,10,13",1,1,1,1,1,1,1,2,2,1,2,2,1,2,5,5,5,4,4,3,3,4,4,4,4,4
-"brexit,economy,immigration,crime,health,education,housing,welfare,defence,environment,tax,pensions,family life,transport","1,2,3,4,5,6,7,8,9,10,11,12,13,14",1,1,1,1,1,1,1,1,1,1,1,1,1,1,3,3,3,3,3,5,4,2,3,4,3,2
-"immigration,health,education,welfare,environment,tax","3,5,6,8,10,11",2,2,1,2,1,1,2,1,2,1,1,2,2,2,5,4,4.5,4,3,4,5,5,3,2,4,4
-"immigration,health,education,housing,environment,family life","3,5,6,7,10,13",2,2,1,2,1,1,1,2,2,1,2,2,1,2,4,4,4,4,5,5,5,4,4,5,5,4
-"health,education,welfare,environment,family life","5,6,8,10,13",2,2,2,2,1,1,2,1,2,1,2,2,1,2,3,3,3,3,4,3,3,3,3,3,3,3
-"economy,immigration,crime,health,education,housing,welfare,environment,tax,pensions,family life,transport","2,3,4,5,6,7,8,10,11,12,13,14",2,1,1,1,1,1,1,1,2,1,1,1,1,1,4,3,3.5,4,5,4,5,4,4,4,4,4
-"health,education,housing,environment,family life","5,6,7,10,13",2,2,2,2,1,1,1,2,2,1,2,2,1,2,4,4,4,3,3,4,4,3,3,4,4,3
-,,2,2,2,2,2,2,2,2,2,2,2,2,2,2,5,5,5,4,3,,,,,,,
-,,2,2,2,2,2,2,2,2,2,2,2,2,2,2,5,4,4.5,4,3,5,5,5,5,5,5,4
-"immigration,crime,health,education,housing,welfare,environment,family life,transport","3,4,5,6,7,8,10,13,14",2,2,1,1,1,1,1,1,2,1,2,2,1,1,1,1,1,1,5,5,5,2,2,4,4,2
-,,2,2,2,2,2,2,2,2,2,2,2,2,2,2,4,2,3,1,3,,,,,,,
-,,2,2,2,2,2,2,2,2,2,2,2,2,2,2,4,4,4,2,4,,,,,,,
-"immigration,health,education,housing,welfare,environment,family life","3,5,6,7,8,10,13",2,2,1,2,1,1,1,1,2,1,2,2,1,2,4,4,4,3,5,4,4,4,3,4,3,3
-,,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,3,,,,,,,
-,,2,2,2,2,2,2,2,2,2,2,2,2,2,2,4,4,4,3,5,5,5,5,5,5,5,5
-,,2,2,2,2,2,2,2,2,2,2,2,2,2,2,5,4,4.5,2,3,4,4,4,3,4,4,4
-,,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,3,2.5,3,5,5,4,4,3,4,3,3
-,,2,2,2,2,2,2,2,2,2,2,2,2,2,2,4,4,4,2,2,4,4,3,4,4,4,4
-"economy,health,education,housing,environment","2,5,6,7,10",2,1,2,2,1,1,1,2,2,1,2,2,2,2,4,4,4,4,5,4,5,5,5,4,5,5
-"brexit,economy,immigration,crime,health,education,housing,welfare,defence,environment,tax,pensions,family life,transport","1,2,3,4,5,6,7,8,9,10,11,12,13,14",1,1,1,1,1,1,1,1,1,1,1,1,1,1,5,2,3.5,2,3,3,3,4,1,2,2,2
-"crime,health,education,welfare,defence,environment,family life","4,5,6,8,9,10,13",2,2,2,1,1,1,2,1,1,1,2,2,1,2,5,4,4.5,5,5,5,5,4,4,5,4,4
-"immigration,crime,health,education,housing,welfare,environment,tax,family life","3,4,5,6,7,8,10,11,13",2,2,1,1,1,1,1,1,2,1,1,2,1,2,4,2,3,1,5,5,5,4,5,5,5,5
-"health,education,welfare,environment,family life","5,6,8,10,13",2,2,2,2,1,1,2,1,2,1,2,2,1,2,4,3,3.5,2,5,4,4,3,4,3,3,2
-"health,education,welfare,environment,family life","5,6,8,10,13",2,2,2,2,1,1,2,1,2,1,2,2,1,2,1,2,1.5,1,5,5,5,5,5,5,5,4
-"crime,health,education,housing,welfare,pensions,family life","4,5,6,7,8,12,13",2,2,2,1,1,1,1,1,2,2,2,1,1,2,4,4,4,3,3,4,5,3,2,3,4,3
-"immigration,crime,health,education,welfare,environment,family life","3,4,5,6,8,10,13",2,2,1,1,1,1,2,1,2,1,2,2,1,2,5,4,4.5,2,2,5,4,4,4,2,5,2
-"brexit,economy,immigration,crime,health,education,housing,welfare,defence,environment,tax,pensions,family life,transport","1,2,3,4,5,6,7,8,9,10,11,12,13,14",1,1,1,1,1,1,1,1,1,1,1,1,1,1,5,2,3.5,2,5,4,4,2,4,4,4,2
-"crime,health,education,environment,family life","4,5,6,10,13",2,2,2,1,1,1,2,2,2,1,2,2,1,2,4,4,4,4,3,4,4,4,4,4,4,3
-"immigration,crime,health,education,housing,welfare,environment,family life","3,4,5,6,7,8,10,13",2,2,1,1,1,1,1,1,2,1,2,2,1,2,4,2,3,2,4,2,4,2,4,2,4,2
-"health,education,housing,welfare,environment,tax","5,6,7,8,10,11",2,2,2,2,1,1,1,1,2,1,1,2,2,2,5,4,4.5,2,3,4,4,3,4,4,4,3
-housing,7,2,2,2,2,2,2,1,2,2,2,2,2,2,2,3,3,3,3,3,4,4,4,3,4,5,4
-"crime,education,family life","4,6,13",2,2,2,1,2,1,2,2,2,2,2,2,1,2,4,2,3,2,3,4,3,3,4,4,4,2
-"economy,crime,health,education,housing,welfare,environment,family life,transport","2,4,5,6,7,8,10,13,14",2,1,2,1,1,1,1,1,2,1,2,2,1,1,2,2,2,2,5,3,3,3,1,3,3,3
-"economy,immigration,health,education,welfare,defence,tax,pensions,family life","2,3,5,6,8,9,11,12,13",2,1,1,2,1,1,2,1,1,2,1,1,1,2,2,2,2,1,4,3,2,2,4,3,4,2
-"immigration,crime,health,education,housing,welfare,environment,tax,pensions,family life,transport","3,4,5,6,7,8,10,11,12,13,14",2,2,1,1,1,1,1,1,2,1,1,1,1,1,4,4,4,2,4,2,2,2,1,2,4,2
-"economy,crime,health,education,housing,welfare,environment,transport","2,4,5,6,7,8,10,14",2,1,2,1,1,1,1,1,2,1,2,2,2,1,3,3,3,2,4,4,4,2,2,4,4,2
-"brexit,economy,immigration,crime,health,education,housing,welfare,defence,environment,tax,pensions,family life,transport","1,2,3,4,5,6,7,8,9,10,11,12,13,14",1,1,1,1,1,1,1,1,1,1,1,1,1,1,5,4,4.5,4,3,4,4,4,3,4,4,4
-"health,education,welfare,environment","5,6,8,10",2,2,2,2,1,1,2,1,2,1,2,2,2,2,5,4,4.5,5,5,5,4,4,3,4,4,4
-,,2,2,2,2,2,2,2,2,2,2,2,2,2,2,4,4,4,4,2,5,4,4,4,4,4,4
-,,2,2,2,2,2,2,2,2,2,2,2,2,2,2,3,2,2.5,1,1,5,3,4,2,4,4,4
-"health,education,housing,environment","5,6,7,10",2,2,2,2,1,1,1,2,2,1,2,2,2,2,2,2,2,2,4,3,2,2,1,2,2,1
-"brexit,immigration,crime,health,education,housing,welfare,environment,family life","1,3,4,5,6,7,8,10,13",1,2,1,1,1,1,1,1,2,1,2,2,1,2,2,2,2,1,5,4,4,3,4,4,3,3
-,,2,2,2,2,2,2,2,2,2,2,2,2,2,2,4,3,3.5,3,4,3,4,3,2,3,3,4
-,,2,2,2,2,2,2,2,2,2,2,2,2,2,2,5,4,4.5,5,5,4,4,4,4,4,4,4
-"economy,health,education,environment,family life","2,5,6,10,13",2,1,2,2,1,1,2,2,2,1,2,2,1,2,4,4,4,5,5,5,5,5,4,4,5,5
-,,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,1,1.5,1,3,,,,,,,
-"immigration,crime,health,environment","3,4,5,10",2,2,1,1,1,2,2,2,2,1,2,2,2,2,1,1,1,1,5,1,3,1,1,1,3,1
-,,2,2,2,2,2,2,2,2,2,2,2,2,2,2,4,3,3.5,3,3,,,,,,,
\ No newline at end of file
+Ps,Q20,Q20_recode,brexit,economy,immigration,crime,health,education,housing,welfare,defence,environment,tax,pensions,family life,transport,Q22_1,Q22_2,Q22_average,Q23_1,Q23_2,Q27_1,Q27_2,Q27_3,Q27_4,Q27_5,Q27_6,Q27_7
+1,"health,education,environment","5,6,10",2,2,2,2,1,1,2,2,2,1,2,2,2,2,4,4,4,3,5,4,4,4,4,4,4,4
+2,"economy,immigration,crime,health,education,housing,welfare,defence,environment,family life,transport","2,3,4,5,6,7,8,9,10,13,14",2,1,1,1,1,1,1,1,1,1,2,2,1,1,4,3,3.5,2,5,4,5,5,3,4,4,4
+3,"crime,health,housing,welfare,environment","4,5,7,8,10",2,2,2,1,1,2,1,1,2,1,2,2,2,2,3,3,3,3,4,4,4,4,4,4,4,4
+4,"brexit,economy,immigration,crime,health,education,housing,welfare,defence,environment,tax,pensions,family life,transport","1,2,3,4,5,6,7,8,9,10,11,12,13,14",1,1,1,1,1,1,1,1,1,1,1,1,1,1,4,2,3,4,5,4,3,2,3,2,2,2
+5,"health,education,housing,welfare,environment,family life","5,6,7,8,10,13",2,2,2,2,1,1,1,1,2,1,2,2,1,2,4,2,3,1,4,5,4,2,5,4,3,3
+6,"brexit,economy,immigration,crime,health,education,housing,welfare,environment,tax,pensions,family life","1,2,3,4,5,6,7,8,10,11,12,13",1,1,1,1,1,1,1,1,2,1,1,1,1,2,4,3,3.5,3,3,4,4,2,3,2,3,2
+7,"crime,housing,environment","4,7,10",2,2,2,1,2,2,1,2,2,1,2,2,2,2,5,5,5,4,5,4,4,4,4,4,4,4
+8,,,2,2,2,2,2,2,2,2,2,2,2,2,2,2,5,5,5,5,1,5,5,5,5,5,5,5
+9,"economy,crime,health,welfare,environment","2,4,5,8,10",2,1,2,1,1,2,2,1,2,1,2,2,2,2,5,5,5,5,5,5,5,5,5,5,5,4
+10,"crime,health,education,housing,welfare,environment,family life","4,5,6,7,8,10,13",2,2,2,1,1,1,1,1,2,1,2,2,1,2,4,4,4,3,5,4,4,4,4,4,4,4
+11,"immigration,crime,health,education,housing,welfare,environment,family life","3,4,5,6,7,8,10,13",2,2,1,1,1,1,1,1,2,1,2,2,1,2,2,2,2,2,4,5,4,2,3,2,3,2
+12,"health,education,environment","5,6,10",2,2,2,2,1,1,2,2,2,1,2,2,2,2,2,2,2,4,4,3,4,2,4,4,4,3
+13,"immigration,crime,health,housing,welfare,family life","3,4,5,7,8,13",2,2,1,1,1,2,1,1,2,2,2,2,1,2,4,4,4,3,4,4,4,4,4,4,5,4
+14,"economy,immigration,health,education,housing,environment,pensions","2,3,5,6,7,10,12",2,1,1,2,1,1,1,2,2,1,2,1,2,2,3,3,3,2,4,3,3,3,4,4,4,5
+15,"brexit,economy,immigration,crime,health,education,housing,welfare,environment,family life","1,2,3,4,5,6,7,8,10,13",1,1,1,1,1,1,1,1,2,1,2,2,1,2,5,4,4.5,2,4,4,4,2,5,3,4,3
+16,"immigration,crime,health,education,welfare,family life","3,4,5,6,8,13",2,2,1,1,1,1,2,1,2,2,2,2,1,2,4,2,3,2,3,4,4,3,2,3,3,3
+17,"health,education,housing,welfare,environment,pensions,family life,transport","5,6,7,8,10,12,13,14",2,2,2,2,1,1,1,1,2,1,2,1,1,1,5,5,5,2,5,5,5,2,5,5,5,2
+18,"economy,education,environment","2,6,10",2,1,2,2,2,1,2,2,2,1,2,2,2,2,4,4,4,2,4,4,4,4,3,4,4,4
+19,"health,education,welfare,environment","5,6,8,10",2,2,2,2,1,1,2,1,2,1,2,2,2,2,4,2,3,2,3,2,2,2,1,2,3,1
+20,"brexit,economy,immigration,health,education,housing,welfare,environment","1,2,3,5,6,7,8,10",1,1,1,2,1,1,1,1,2,1,2,2,2,2,4,2,3,1,5,4,4,4,4,4,2,2
+21,"brexit,economy,immigration,crime,health,education,housing,welfare,defence,environment,tax,pensions,family life,transport","1,2,3,4,5,6,7,8,9,10,11,12,13,14",1,1,1,1,1,1,1,1,1,1,1,1,1,1,5,4,4.5,4,3,5,5,4,5,5,5,5
+22,"brexit,economy,immigration,crime,health,education,housing,welfare,defence,environment,tax,pensions,family life,transport","1,2,3,4,5,6,7,8,9,10,11,12,13,14",1,1,1,1,1,1,1,1,1,1,1,1,1,1,5,5,5,5,3,4,4,4,5,5,4,5
+23,"brexit,economy,immigration,crime,health,education,housing,welfare,defence,environment,tax,pensions,family life,transport","1,2,3,4,5,6,7,8,9,10,11,12,13,14",1,1,1,1,1,1,1,1,1,1,1,1,1,1,5,4,4.5,4,4,4,5,3,3,4,3,3
+24,"brexit,economy,immigration,crime,health,education,housing,welfare,defence,environment,tax,pensions,family life,transport","1,2,3,4,5,6,7,8,9,10,11,12,13,14",1,1,1,1,1,1,1,1,1,1,1,1,1,1,5,4,4.5,2,3,5,5,4,5,5,5,4
+25,"economy,immigration,health,education,environment","2,3,5,6,10",2,1,1,2,1,1,2,2,2,1,2,2,2,2,5,4,4.5,2,3,5,5,4,4,5,5,4
+26,"economy,health,education,housing,environment,family life","2,5,6,7,10,13",2,1,2,2,1,1,1,2,2,1,2,2,1,2,5,5,5,4,4,5,5,5,5,5,5,5
+27,"immigration,crime,health,education,housing,environment,family life","3,4,5,6,7,10,13",2,2,1,1,1,1,1,2,2,1,2,2,1,2,4,2,3,2,5,5,5,4,2,4,2,2
+28,"health,education,housing,welfare,environment,family life","5,6,7,8,10,13",2,2,2,2,1,1,1,1,2,1,2,2,1,2,4,4,4,2,4,4,4,2,4,4,4,3
+29,"crime,health,education,welfare,environment,family life","4,5,6,8,10,13",2,2,2,1,1,1,2,1,2,1,2,2,1,2,4,2,3,2,1,5,5,2,4,4,4,4
+30,"immigration,crime,health,education,welfare,environment,tax,transport","3,4,5,6,8,10,11,14",2,2,1,1,1,1,2,1,2,1,1,2,2,1,4,2,3,4,4,5,5,4,4,2,4,2
+31,"crime,health,education,housing,welfare,family life","4,5,6,7,8,13",2,2,2,1,1,1,1,1,2,2,2,2,1,2,4,4,4,2,2,4,4,4,1,2,2,2
+32,"brexit,economy,immigration,crime,health,education,housing,welfare,defence,environment,tax,pensions,family life,transport","1,2,3,4,5,6,7,8,9,10,11,12,13,14",1,1,1,1,1,1,1,1,1,1,1,1,1,1,4,3,3.5,3,4,4,5,3,4,5,5,3
+33,"economy,immigration,crime,health,education,housing,welfare,environment,family life","2,3,4,5,6,7,8,10,13",2,1,1,1,1,1,1,1,2,1,2,2,1,2,5,4,4.5,4,5,5,5,5,4,4,4,4
+34,"immigration,health,education,housing,welfare,environment","3,5,6,7,8,10",2,2,1,2,1,1,1,1,2,1,2,2,2,2,4,4,4,4,4,4,5,4,5,5,5,4
+35,"immigration,crime,health,education,housing,welfare,defence,environment,tax,pensions,family life,transport","3,4,5,6,7,8,9,10,11,12,13,14",2,2,1,1,1,1,1,1,1,1,1,1,1,1,4,4,4,2,3,4,4,3,5,4,4,4
+36,"immigration,education,family life","3,6,13",2,2,1,2,2,1,2,2,2,2,2,2,1,2,4,3,3.5,4,3,4,2,4,1,2,2,2
+37,"economy,immigration,health,education,environment,family life","2,3,5,6,10,13",2,1,1,2,1,1,2,2,2,1,2,2,1,2,4,3,3.5,4,5,5,5,2,4,4,5,2
+38,"brexit,economy,immigration,crime,health,education,housing,environment,family life","1,2,3,4,5,6,7,10,13",1,1,1,1,1,1,1,2,2,1,2,2,1,2,5,5,5,4,4,3,3,4,4,4,4,4
+39,"brexit,economy,immigration,crime,health,education,housing,welfare,defence,environment,tax,pensions,family life,transport","1,2,3,4,5,6,7,8,9,10,11,12,13,14",1,1,1,1,1,1,1,1,1,1,1,1,1,1,3,3,3,3,3,5,4,2,3,4,3,2
+40,"immigration,health,education,welfare,environment,tax","3,5,6,8,10,11",2,2,1,2,1,1,2,1,2,1,1,2,2,2,5,4,4.5,4,3,4,5,5,3,2,4,4
+41,"immigration,health,education,housing,environment,family life","3,5,6,7,10,13",2,2,1,2,1,1,1,2,2,1,2,2,1,2,4,4,4,4,5,5,5,4,4,5,5,4
+42,"health,education,welfare,environment,family life","5,6,8,10,13",2,2,2,2,1,1,2,1,2,1,2,2,1,2,3,3,3,3,4,3,3,3,3,3,3,3
+43,"economy,immigration,crime,health,education,housing,welfare,environment,tax,pensions,family life,transport","2,3,4,5,6,7,8,10,11,12,13,14",2,1,1,1,1,1,1,1,2,1,1,1,1,1,4,3,3.5,4,5,4,5,4,4,4,4,4
+44,"health,education,housing,environment,family life","5,6,7,10,13",2,2,2,2,1,1,1,2,2,1,2,2,1,2,4,4,4,3,3,4,4,3,3,4,4,3
+45,,,2,2,2,2,2,2,2,2,2,2,2,2,2,2,5,5,5,4,3,,,,,,,
+46,,,2,2,2,2,2,2,2,2,2,2,2,2,2,2,5,4,4.5,4,3,5,5,5,5,5,5,4
+47,"immigration,crime,health,education,housing,welfare,environment,family life,transport","3,4,5,6,7,8,10,13,14",2,2,1,1,1,1,1,1,2,1,2,2,1,1,1,1,1,1,5,5,5,2,2,4,4,2
+50,"immigration,health,education,housing,welfare,environment,family life","3,5,6,7,8,10,13",2,2,1,2,1,1,1,1,2,1,2,2,1,2,4,4,4,3,5,4,4,4,3,4,3,3
+51,,,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,3,,,,,,,
+52,,,2,2,2,2,2,2,2,2,2,2,2,2,2,2,4,4,4,3,5,5,5,5,5,5,5,5
+53,,,2,2,2,2,2,2,2,2,2,2,2,2,2,2,5,4,4.5,2,3,4,4,4,3,4,4,4
+54,,,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,3,2.5,3,5,5,4,4,3,4,3,3
+55,,,2,2,2,2,2,2,2,2,2,2,2,2,2,2,4,4,4,2,2,4,4,3,4,4,4,4
+56,"economy,health,education,housing,environment","2,5,6,7,10",2,1,2,2,1,1,1,2,2,1,2,2,2,2,4,4,4,4,5,4,5,5,5,4,5,5
+57,"brexit,economy,immigration,crime,health,education,housing,welfare,defence,environment,tax,pensions,family life,transport","1,2,3,4,5,6,7,8,9,10,11,12,13,14",1,1,1,1,1,1,1,1,1,1,1,1,1,1,5,2,3.5,2,3,3,3,4,1,2,2,2
+58,"crime,health,education,welfare,defence,environment,family life","4,5,6,8,9,10,13",2,2,2,1,1,1,2,1,1,1,2,2,1,2,5,4,4.5,5,5,5,5,4,4,5,4,4
+59,"immigration,crime,health,education,housing,welfare,environment,tax,family life","3,4,5,6,7,8,10,11,13",2,2,1,1,1,1,1,1,2,1,1,2,1,2,4,2,3,1,5,5,5,4,5,5,5,5
+60,"health,education,welfare,environment,family life","5,6,8,10,13",2,2,2,2,1,1,2,1,2,1,2,2,1,2,4,3,3.5,2,5,4,4,3,4,3,3,2
+61,"health,education,welfare,environment,family life","5,6,8,10,13",2,2,2,2,1,1,2,1,2,1,2,2,1,2,1,2,1.5,1,5,5,5,5,5,5,5,4
+62,"crime,health,education,housing,welfare,pensions,family life","4,5,6,7,8,12,13",2,2,2,1,1,1,1,1,2,2,2,1,1,2,4,4,4,3,3,4,5,3,2,3,4,3
+63,"immigration,crime,health,education,welfare,environment,family life","3,4,5,6,8,10,13",2,2,1,1,1,1,2,1,2,1,2,2,1,2,5,4,4.5,2,2,5,4,4,4,2,5,2
+64,"brexit,economy,immigration,crime,health,education,housing,welfare,defence,environment,tax,pensions,family life,transport","1,2,3,4,5,6,7,8,9,10,11,12,13,14",1,1,1,1,1,1,1,1,1,1,1,1,1,1,5,2,3.5,2,5,4,4,2,4,4,4,2
+65,"crime,health,education,environment,family life","4,5,6,10,13",2,2,2,1,1,1,2,2,2,1,2,2,1,2,4,4,4,4,3,4,4,4,4,4,4,3
+66,"immigration,crime,health,education,housing,welfare,environment,family life","3,4,5,6,7,8,10,13",2,2,1,1,1,1,1,1,2,1,2,2,1,2,4,2,3,2,4,2,4,2,4,2,4,2
+67,"health,education,housing,welfare,environment,tax","5,6,7,8,10,11",2,2,2,2,1,1,1,1,2,1,1,2,2,2,5,4,4.5,2,3,4,4,3,4,4,4,3
+68,housing,7,2,2,2,2,2,2,1,2,2,2,2,2,2,2,3,3,3,3,3,4,4,4,3,4,5,4
+69,"crime,education,family life","4,6,13",2,2,2,1,2,1,2,2,2,2,2,2,1,2,4,2,3,2,3,4,3,3,4,4,4,2
+70,"economy,crime,health,education,housing,welfare,environment,family life,transport","2,4,5,6,7,8,10,13,14",2,1,2,1,1,1,1,1,2,1,2,2,1,1,2,2,2,2,5,3,3,3,1,3,3,3
+71,"economy,immigration,health,education,welfare,defence,tax,pensions,family life","2,3,5,6,8,9,11,12,13",2,1,1,2,1,1,2,1,1,2,1,1,1,2,2,2,2,1,4,3,2,2,4,3,4,2
+72,"immigration,crime,health,education,housing,welfare,environment,tax,pensions,family life,transport","3,4,5,6,7,8,10,11,12,13,14",2,2,1,1,1,1,1,1,2,1,1,1,1,1,4,4,4,2,4,2,2,2,1,2,4,2
+73,"economy,crime,health,education,housing,welfare,environment,transport","2,4,5,6,7,8,10,14",2,1,2,1,1,1,1,1,2,1,2,2,2,1,3,3,3,2,4,4,4,2,2,4,4,2
+74,"brexit,economy,immigration,crime,health,education,housing,welfare,defence,environment,tax,pensions,family life,transport","1,2,3,4,5,6,7,8,9,10,11,12,13,14",1,1,1,1,1,1,1,1,1,1,1,1,1,1,5,4,4.5,4,3,4,4,4,3,4,4,4
+75,"health,education,welfare,environment","5,6,8,10",2,2,2,2,1,1,2,1,2,1,2,2,2,2,5,4,4.5,5,5,5,4,4,3,4,4,4
+76,,,2,2,2,2,2,2,2,2,2,2,2,2,2,2,4,4,4,4,2,5,4,4,4,4,4,4
+77,,,2,2,2,2,2,2,2,2,2,2,2,2,2,2,3,2,2.5,1,1,5,3,4,2,4,4,4
+78,"health,education,housing,environment","5,6,7,10",2,2,2,2,1,1,1,2,2,1,2,2,2,2,2,2,2,2,4,3,2,2,1,2,2,1
+79,"brexit,immigration,crime,health,education,housing,welfare,environment,family life","1,3,4,5,6,7,8,10,13",1,2,1,1,1,1,1,1,2,1,2,2,1,2,2,2,2,1,5,4,4,3,4,4,3,3
+80,,,2,2,2,2,2,2,2,2,2,2,2,2,2,2,4,3,3.5,3,4,3,4,3,2,3,3,4
+81,,,2,2,2,2,2,2,2,2,2,2,2,2,2,2,5,4,4.5,5,5,4,4,4,4,4,4,4
+82,"economy,health,education,environment,family life","2,5,6,10,13",2,1,2,2,1,1,2,2,2,1,2,2,1,2,4,4,4,5,5,5,5,5,4,4,5,5
+84,"immigration,crime,health,environment","3,4,5,10",2,2,1,1,1,2,2,2,2,1,2,2,2,2,1,1,1,1,5,1,3,1,1,1,3,1
\ No newline at end of file
diff --git a/data/Q26_data.csv b/data/Q26_data.csv
index 073869f..f64ed12 100644
--- a/data/Q26_data.csv
+++ b/data/Q26_data.csv
@@ -1,86 +1,86 @@
-Q26,Other Priorities,Lack Subject Knowledge,Lack Confidence,Current Syllabus,Pupil Disinterest,Department Head,Available Work Schemes,Unavailable Resources,Uncertain of Pedagogical Approach
-4,FALSE,FALSE,FALSE,TRUE,FALSE,FALSE,FALSE,FALSE,FALSE
-4,FALSE,FALSE,FALSE,TRUE,FALSE,FALSE,FALSE,FALSE,FALSE
-4,FALSE,FALSE,FALSE,TRUE,FALSE,FALSE,FALSE,FALSE,FALSE
-"7,8,9",FALSE,FALSE,FALSE,FALSE,FALSE,FALSE,TRUE,TRUE,TRUE
-3,FALSE,FALSE,TRUE,FALSE,FALSE,FALSE,FALSE,FALSE,FALSE
-,FALSE,FALSE,FALSE,FALSE,FALSE,FALSE,FALSE,FALSE,FALSE
-"1,4",TRUE,FALSE,FALSE,TRUE,FALSE,FALSE,FALSE,FALSE,FALSE
-,FALSE,FALSE,FALSE,FALSE,FALSE,FALSE,FALSE,FALSE,FALSE
-1,TRUE,FALSE,FALSE,FALSE,FALSE,FALSE,FALSE,FALSE,FALSE
-4,FALSE,FALSE,FALSE,TRUE,FALSE,FALSE,FALSE,FALSE,FALSE
-"1,3,8,9",TRUE,FALSE,TRUE,FALSE,FALSE,FALSE,FALSE,TRUE,TRUE
-"1,5,9",TRUE,FALSE,FALSE,FALSE,TRUE,FALSE,FALSE,FALSE,TRUE
-"7,8",FALSE,FALSE,FALSE,FALSE,FALSE,FALSE,TRUE,TRUE,FALSE
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-4,FALSE,FALSE,FALSE,TRUE,FALSE,FALSE,FALSE,FALSE,FALSE
-1,TRUE,FALSE,FALSE,FALSE,FALSE,FALSE,FALSE,FALSE,FALSE
-7,FALSE,FALSE,FALSE,FALSE,FALSE,FALSE,TRUE,FALSE,FALSE
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-"7,9",FALSE,FALSE,FALSE,FALSE,FALSE,FALSE,TRUE,FALSE,TRUE
-8,FALSE,FALSE,FALSE,FALSE,FALSE,FALSE,FALSE,TRUE,FALSE
-1,TRUE,FALSE,FALSE,FALSE,FALSE,FALSE,FALSE,FALSE,FALSE
-"1,7",TRUE,FALSE,FALSE,FALSE,FALSE,FALSE,TRUE,FALSE,FALSE
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-,FALSE,FALSE,FALSE,FALSE,FALSE,FALSE,FALSE,FALSE,FALSE
-4,FALSE,FALSE,FALSE,TRUE,FALSE,FALSE,FALSE,FALSE,FALSE
-"3,4",FALSE,FALSE,TRUE,TRUE,FALSE,FALSE,FALSE,FALSE,FALSE
-"7,8",FALSE,FALSE,FALSE,FALSE,FALSE,FALSE,TRUE,TRUE,FALSE
-,FALSE,FALSE,FALSE,FALSE,FALSE,FALSE,FALSE,FALSE,FALSE
-"1,4",TRUE,FALSE,FALSE,TRUE,FALSE,FALSE,FALSE,FALSE,FALSE
-"2,4,7,8",FALSE,TRUE,FALSE,TRUE,FALSE,FALSE,TRUE,TRUE,FALSE
-"4,6,7,8",FALSE,FALSE,FALSE,TRUE,FALSE,TRUE,TRUE,TRUE,FALSE
-"4,7,8",FALSE,FALSE,FALSE,TRUE,FALSE,FALSE,TRUE,TRUE,FALSE
-"1,7,8,9",TRUE,FALSE,FALSE,FALSE,FALSE,FALSE,TRUE,TRUE,TRUE
-1,TRUE,FALSE,FALSE,FALSE,FALSE,FALSE,FALSE,FALSE,FALSE
-"2,3",FALSE,TRUE,TRUE,FALSE,FALSE,FALSE,FALSE,FALSE,FALSE
-"1,2",TRUE,TRUE,FALSE,FALSE,FALSE,FALSE,FALSE,FALSE,FALSE
-"4,6,7",FALSE,FALSE,FALSE,TRUE,FALSE,TRUE,TRUE,FALSE,FALSE
-"2,7,8",FALSE,TRUE,FALSE,FALSE,FALSE,FALSE,TRUE,TRUE,FALSE
-,FALSE,FALSE,FALSE,FALSE,FALSE,FALSE,FALSE,FALSE,FALSE
-7,FALSE,FALSE,FALSE,FALSE,FALSE,FALSE,TRUE,FALSE,FALSE
-4,FALSE,FALSE,FALSE,TRUE,FALSE,FALSE,FALSE,FALSE,FALSE
-"7,9",FALSE,FALSE,FALSE,FALSE,FALSE,FALSE,TRUE,FALSE,TRUE
-"7,8,9",FALSE,FALSE,FALSE,FALSE,FALSE,FALSE,TRUE,TRUE,TRUE
-1,TRUE,FALSE,FALSE,FALSE,FALSE,FALSE,FALSE,FALSE,FALSE
-,FALSE,FALSE,FALSE,FALSE,FALSE,FALSE,FALSE,FALSE,FALSE
-4,FALSE,FALSE,FALSE,TRUE,FALSE,FALSE,FALSE,FALSE,FALSE
-,FALSE,FALSE,FALSE,FALSE,FALSE,FALSE,FALSE,FALSE,FALSE
-"4,9",FALSE,FALSE,FALSE,TRUE,FALSE,FALSE,FALSE,FALSE,TRUE
-"4,7,9",FALSE,FALSE,FALSE,TRUE,FALSE,FALSE,TRUE,FALSE,TRUE
-"2,4,6",FALSE,TRUE,FALSE,TRUE,FALSE,TRUE,FALSE,FALSE,FALSE
-"1,7,8",TRUE,FALSE,FALSE,FALSE,FALSE,FALSE,TRUE,TRUE,FALSE
-4,FALSE,FALSE,FALSE,TRUE,FALSE,FALSE,FALSE,FALSE,FALSE
-4,FALSE,FALSE,FALSE,TRUE,FALSE,FALSE,FALSE,FALSE,FALSE
-7,FALSE,FALSE,FALSE,FALSE,FALSE,FALSE,TRUE,FALSE,FALSE
-"4,8",FALSE,FALSE,FALSE,TRUE,FALSE,FALSE,FALSE,TRUE,FALSE
-,FALSE,FALSE,FALSE,FALSE,FALSE,FALSE,FALSE,FALSE,FALSE
-"7,8",FALSE,FALSE,FALSE,FALSE,FALSE,FALSE,TRUE,TRUE,FALSE
-"4,8",FALSE,FALSE,FALSE,TRUE,FALSE,FALSE,FALSE,TRUE,FALSE
-"4,7,8",FALSE,FALSE,FALSE,TRUE,FALSE,FALSE,TRUE,TRUE,FALSE
-6,FALSE,FALSE,FALSE,FALSE,FALSE,TRUE,FALSE,FALSE,FALSE
-3,FALSE,FALSE,TRUE,FALSE,FALSE,FALSE,FALSE,FALSE,FALSE
-1,TRUE,FALSE,FALSE,FALSE,FALSE,FALSE,FALSE,FALSE,FALSE
-"1,2,3,8",TRUE,TRUE,TRUE,FALSE,FALSE,FALSE,FALSE,TRUE,FALSE
-"4,8",FALSE,FALSE,FALSE,TRUE,FALSE,FALSE,FALSE,TRUE,FALSE
-"2,3,4,8",FALSE,TRUE,TRUE,TRUE,FALSE,FALSE,FALSE,TRUE,FALSE
-,FALSE,FALSE,FALSE,FALSE,FALSE,FALSE,FALSE,FALSE,FALSE
-"1,7",TRUE,FALSE,FALSE,FALSE,FALSE,FALSE,TRUE,FALSE,FALSE
-"1,4",TRUE,FALSE,FALSE,TRUE,FALSE,FALSE,FALSE,FALSE,FALSE
-"3,8,9",FALSE,FALSE,TRUE,FALSE,FALSE,FALSE,FALSE,TRUE,TRUE
-"2,3,4,7",FALSE,TRUE,TRUE,TRUE,FALSE,FALSE,TRUE,FALSE,FALSE
-4,FALSE,FALSE,FALSE,TRUE,FALSE,FALSE,FALSE,FALSE,FALSE
-"4,7,8",FALSE,FALSE,FALSE,TRUE,FALSE,FALSE,TRUE,TRUE,FALSE
-4,FALSE,FALSE,FALSE,TRUE,FALSE,FALSE,FALSE,FALSE,FALSE
-,FALSE,FALSE,FALSE,FALSE,FALSE,FALSE,FALSE,FALSE,FALSE
-,FALSE,FALSE,FALSE,FALSE,FALSE,FALSE,FALSE,FALSE,FALSE
-,FALSE,FALSE,FALSE,FALSE,FALSE,FALSE,FALSE,FALSE,FALSE
-"2,4,7",FALSE,TRUE,FALSE,TRUE,FALSE,FALSE,TRUE,FALSE,FALSE
-"4,7,8",FALSE,FALSE,FALSE,TRUE,FALSE,FALSE,TRUE,TRUE,FALSE
-3,FALSE,FALSE,TRUE,FALSE,FALSE,FALSE,FALSE,FALSE,FALSE
-9,FALSE,FALSE,FALSE,FALSE,FALSE,FALSE,FALSE,FALSE,TRUE
-"3,4,7,8",FALSE,FALSE,TRUE,TRUE,FALSE,FALSE,TRUE,TRUE,FALSE
-4,FALSE,FALSE,FALSE,TRUE,FALSE,FALSE,FALSE,FALSE,FALSE
-"2,3,4,7,8,9",FALSE,TRUE,TRUE,TRUE,FALSE,FALSE,TRUE,TRUE,TRUE
-"4,7",FALSE,FALSE,FALSE,TRUE,FALSE,FALSE,TRUE,FALSE,FALSE
\ No newline at end of file
+Ps,Q26,Other Priorities,Lack Subject Knowledge,Lack Confidence,Current Syllabus,Pupil Disinterest,Department Head,Available Work Schemes,Unavailable Resources,Uncertain of Pedagogical Approach
+1,4,FALSE,FALSE,FALSE,TRUE,FALSE,FALSE,FALSE,FALSE,FALSE
+2,4,FALSE,FALSE,FALSE,TRUE,FALSE,FALSE,FALSE,FALSE,FALSE
+3,4,FALSE,FALSE,FALSE,TRUE,FALSE,FALSE,FALSE,FALSE,FALSE
+4,"7,8,9",FALSE,FALSE,FALSE,FALSE,FALSE,FALSE,TRUE,TRUE,TRUE
+5,3,FALSE,FALSE,TRUE,FALSE,FALSE,FALSE,FALSE,FALSE,FALSE
+6,,FALSE,FALSE,FALSE,FALSE,FALSE,FALSE,FALSE,FALSE,FALSE
+7,"1,4",TRUE,FALSE,FALSE,TRUE,FALSE,FALSE,FALSE,FALSE,FALSE
+8,,FALSE,FALSE,FALSE,FALSE,FALSE,FALSE,FALSE,FALSE,FALSE
+9,1,TRUE,FALSE,FALSE,FALSE,FALSE,FALSE,FALSE,FALSE,FALSE
+10,4,FALSE,FALSE,FALSE,TRUE,FALSE,FALSE,FALSE,FALSE,FALSE
+11,"1,3,8,9",TRUE,FALSE,TRUE,FALSE,FALSE,FALSE,FALSE,TRUE,TRUE
+12,"1,5,9",TRUE,FALSE,FALSE,FALSE,TRUE,FALSE,FALSE,FALSE,TRUE
+13,"7,8",FALSE,FALSE,FALSE,FALSE,FALSE,FALSE,TRUE,TRUE,FALSE
+14,"1,4",TRUE,FALSE,FALSE,TRUE,FALSE,FALSE,FALSE,FALSE,FALSE
+15,4,FALSE,FALSE,FALSE,TRUE,FALSE,FALSE,FALSE,FALSE,FALSE
+16,1,TRUE,FALSE,FALSE,FALSE,FALSE,FALSE,FALSE,FALSE,FALSE
+17,7,FALSE,FALSE,FALSE,FALSE,FALSE,FALSE,TRUE,FALSE,FALSE
+18,"7,8",FALSE,FALSE,FALSE,FALSE,FALSE,FALSE,TRUE,TRUE,FALSE
+19,"4,7,9",FALSE,FALSE,FALSE,TRUE,FALSE,FALSE,TRUE,FALSE,TRUE
+20,"7,9",FALSE,FALSE,FALSE,FALSE,FALSE,FALSE,TRUE,FALSE,TRUE
+21,8,FALSE,FALSE,FALSE,FALSE,FALSE,FALSE,FALSE,TRUE,FALSE
+22,1,TRUE,FALSE,FALSE,FALSE,FALSE,FALSE,FALSE,FALSE,FALSE
+23,"1,7",TRUE,FALSE,FALSE,FALSE,FALSE,FALSE,TRUE,FALSE,FALSE
+24,,FALSE,FALSE,FALSE,FALSE,FALSE,FALSE,FALSE,FALSE,FALSE
+25,,FALSE,FALSE,FALSE,FALSE,FALSE,FALSE,FALSE,FALSE,FALSE
+26,4,FALSE,FALSE,FALSE,TRUE,FALSE,FALSE,FALSE,FALSE,FALSE
+27,"3,4",FALSE,FALSE,TRUE,TRUE,FALSE,FALSE,FALSE,FALSE,FALSE
+28,"7,8",FALSE,FALSE,FALSE,FALSE,FALSE,FALSE,TRUE,TRUE,FALSE
+29,,FALSE,FALSE,FALSE,FALSE,FALSE,FALSE,FALSE,FALSE,FALSE
+30,"1,4",TRUE,FALSE,FALSE,TRUE,FALSE,FALSE,FALSE,FALSE,FALSE
+31,"2,4,7,8",FALSE,TRUE,FALSE,TRUE,FALSE,FALSE,TRUE,TRUE,FALSE
+32,"4,6,7,8",FALSE,FALSE,FALSE,TRUE,FALSE,TRUE,TRUE,TRUE,FALSE
+33,"4,7,8",FALSE,FALSE,FALSE,TRUE,FALSE,FALSE,TRUE,TRUE,FALSE
+34,"1,7,8,9",TRUE,FALSE,FALSE,FALSE,FALSE,FALSE,TRUE,TRUE,TRUE
+35,1,TRUE,FALSE,FALSE,FALSE,FALSE,FALSE,FALSE,FALSE,FALSE
+36,"2,3",FALSE,TRUE,TRUE,FALSE,FALSE,FALSE,FALSE,FALSE,FALSE
+37,"1,2",TRUE,TRUE,FALSE,FALSE,FALSE,FALSE,FALSE,FALSE,FALSE
+38,"4,6,7",FALSE,FALSE,FALSE,TRUE,FALSE,TRUE,TRUE,FALSE,FALSE
+39,"2,7,8",FALSE,TRUE,FALSE,FALSE,FALSE,FALSE,TRUE,TRUE,FALSE
+40,,FALSE,FALSE,FALSE,FALSE,FALSE,FALSE,FALSE,FALSE,FALSE
+41,7,FALSE,FALSE,FALSE,FALSE,FALSE,FALSE,TRUE,FALSE,FALSE
+42,4,FALSE,FALSE,FALSE,TRUE,FALSE,FALSE,FALSE,FALSE,FALSE
+43,"7,9",FALSE,FALSE,FALSE,FALSE,FALSE,FALSE,TRUE,FALSE,TRUE
+44,"7,8,9",FALSE,FALSE,FALSE,FALSE,FALSE,FALSE,TRUE,TRUE,TRUE
+45,1,TRUE,FALSE,FALSE,FALSE,FALSE,FALSE,FALSE,FALSE,FALSE
+46,,FALSE,FALSE,FALSE,FALSE,FALSE,FALSE,FALSE,FALSE,FALSE
+47,4,FALSE,FALSE,FALSE,TRUE,FALSE,FALSE,FALSE,FALSE,FALSE
+48,,FALSE,FALSE,FALSE,FALSE,FALSE,FALSE,FALSE,FALSE,FALSE
+49,"4,9",FALSE,FALSE,FALSE,TRUE,FALSE,FALSE,FALSE,FALSE,TRUE
+50,"4,7,9",FALSE,FALSE,FALSE,TRUE,FALSE,FALSE,TRUE,FALSE,TRUE
+51,"2,4,6",FALSE,TRUE,FALSE,TRUE,FALSE,TRUE,FALSE,FALSE,FALSE
+52,"1,7,8",TRUE,FALSE,FALSE,FALSE,FALSE,FALSE,TRUE,TRUE,FALSE
+53,4,FALSE,FALSE,FALSE,TRUE,FALSE,FALSE,FALSE,FALSE,FALSE
+54,4,FALSE,FALSE,FALSE,TRUE,FALSE,FALSE,FALSE,FALSE,FALSE
+55,7,FALSE,FALSE,FALSE,FALSE,FALSE,FALSE,TRUE,FALSE,FALSE
+56,"4,8",FALSE,FALSE,FALSE,TRUE,FALSE,FALSE,FALSE,TRUE,FALSE
+57,,FALSE,FALSE,FALSE,FALSE,FALSE,FALSE,FALSE,FALSE,FALSE
+58,"7,8",FALSE,FALSE,FALSE,FALSE,FALSE,FALSE,TRUE,TRUE,FALSE
+59,"4,8",FALSE,FALSE,FALSE,TRUE,FALSE,FALSE,FALSE,TRUE,FALSE
+60,"4,7,8",FALSE,FALSE,FALSE,TRUE,FALSE,FALSE,TRUE,TRUE,FALSE
+61,6,FALSE,FALSE,FALSE,FALSE,FALSE,TRUE,FALSE,FALSE,FALSE
+62,3,FALSE,FALSE,TRUE,FALSE,FALSE,FALSE,FALSE,FALSE,FALSE
+63,1,TRUE,FALSE,FALSE,FALSE,FALSE,FALSE,FALSE,FALSE,FALSE
+64,"1,2,3,8",TRUE,TRUE,TRUE,FALSE,FALSE,FALSE,FALSE,TRUE,FALSE
+65,"4,8",FALSE,FALSE,FALSE,TRUE,FALSE,FALSE,FALSE,TRUE,FALSE
+66,"2,3,4,8",FALSE,TRUE,TRUE,TRUE,FALSE,FALSE,FALSE,TRUE,FALSE
+67,,FALSE,FALSE,FALSE,FALSE,FALSE,FALSE,FALSE,FALSE,FALSE
+68,"1,7",TRUE,FALSE,FALSE,FALSE,FALSE,FALSE,TRUE,FALSE,FALSE
+69,"1,4",TRUE,FALSE,FALSE,TRUE,FALSE,FALSE,FALSE,FALSE,FALSE
+70,"3,8,9",FALSE,FALSE,TRUE,FALSE,FALSE,FALSE,FALSE,TRUE,TRUE
+71,"2,3,4,7",FALSE,TRUE,TRUE,TRUE,FALSE,FALSE,TRUE,FALSE,FALSE
+72,4,FALSE,FALSE,FALSE,TRUE,FALSE,FALSE,FALSE,FALSE,FALSE
+73,"4,7,8",FALSE,FALSE,FALSE,TRUE,FALSE,FALSE,TRUE,TRUE,FALSE
+74,4,FALSE,FALSE,FALSE,TRUE,FALSE,FALSE,FALSE,FALSE,FALSE
+75,,FALSE,FALSE,FALSE,FALSE,FALSE,FALSE,FALSE,FALSE,FALSE
+76,,FALSE,FALSE,FALSE,FALSE,FALSE,FALSE,FALSE,FALSE,FALSE
+77,,FALSE,FALSE,FALSE,FALSE,FALSE,FALSE,FALSE,FALSE,FALSE
+78,"2,4,7",FALSE,TRUE,FALSE,TRUE,FALSE,FALSE,TRUE,FALSE,FALSE
+79,"4,7,8",FALSE,FALSE,FALSE,TRUE,FALSE,FALSE,TRUE,TRUE,FALSE
+80,3,FALSE,FALSE,TRUE,FALSE,FALSE,FALSE,FALSE,FALSE,FALSE
+81,9,FALSE,FALSE,FALSE,FALSE,FALSE,FALSE,FALSE,FALSE,TRUE
+82,"3,4,7,8",FALSE,FALSE,TRUE,TRUE,FALSE,FALSE,TRUE,TRUE,FALSE
+83,4,FALSE,FALSE,FALSE,TRUE,FALSE,FALSE,FALSE,FALSE,FALSE
+84,"2,3,4,7,8,9",FALSE,TRUE,TRUE,TRUE,FALSE,FALSE,TRUE,TRUE,TRUE
+85,"4,7",FALSE,FALSE,FALSE,TRUE,FALSE,FALSE,TRUE,FALSE,FALSE
\ No newline at end of file
diff --git a/data/Religious affiliation data.csv b/data/Religious affiliation data.csv
new file mode 100644
index 0000000..e7ee7f9
--- /dev/null
+++ b/data/Religious affiliation data.csv	
@@ -0,0 +1,74 @@
+Ps,Q12,Q13,Q13_recode,Q14,Q15,Q16,Q16_short,Q21,Q22_1,Q22_2,Q22_average,Q23_1,Q23_2,Q27_1,Q27_2,Q27_3,Q27_4,Q27_5,Q27_6,Q27_7
+1,No,,,,No,,,Nonreligious,4,4,4,3,5,4,4,4,4,4,4,4
+2,Yes,Church of England,1,,No,,,Christian,4,3,3.5,2,5,4,5,5,3,4,4,4
+3,No,,,,No,,,,3,3,3,3,4,4,4,4,4,4,4,4
+4,Yes,Muslim,6,,No,,,Muslim British ,4,2,3,4,5,4,3,2,3,2,2,2
+5,Yes,Church of England,1,,No,,,Pentecostal,4,2,3,1,4,5,4,2,5,4,3,3
+6,Yes,Church of England,1,,No,,,RC - Lapsed,4,3,3.5,3,3,4,4,2,3,2,3,2
+7,No,,,,No,,,,5,5,5,4,5,4,4,4,4,4,4,4
+8,Yes,Roman Catholic,2,,No,,,,5,5,5,5,1,5,5,5,5,5,5,5
+9,No,,,,Yes,,,Christian ,5,5,5,5,5,5,5,5,5,5,5,4
+10,No,,,,Yes,There is nothing official but our assemblies reflect a Christian nature,Christian,Non religious,4,4,4,3,5,4,4,4,4,4,4,4
+11,Yes,Church of England,1,,No,,,,2,2,2,2,4,5,4,2,3,2,3,2
+12,No,,,,Yes,Christian ethos and history,Christian,Secular,2,2,2,4,4,3,4,2,4,4,4,3
+13,No,,,,No,,,Hindu,4,4,4,3,4,4,4,4,4,4,5,4
+14,Yes,Church of England,1,,No,,,,3,3,3,2,4,3,3,3,4,4,4,5
+15,Yes,Church of England,1,,No,,,Christian,5,4,4.5,2,4,4,4,2,5,3,4,3
+16,Yes,Church of England,1,,No,,,,4,2,3,2,3,4,4,3,2,3,3,3
+17,No,,,,No,,,Christian,5,5,5,2,5,5,5,2,5,5,5,2
+18,No,,,,No,,,,4,4,4,2,4,4,4,4,3,4,4,4
+19,Yes,Church of England,1,,No,,,Christian,4,2,3,2,3,2,2,2,1,2,3,1
+20,No,,,,No,,,N/A,4,2,3,1,5,4,4,4,4,4,2,2
+21,No,,,,No,,,No affiliation.,5,4,4.5,4,3,5,5,4,5,5,5,5
+22,No,,,,No,,,,5,5,5,5,3,4,4,4,5,5,4,5
+23,No,,,,Yes,"Informally Christian.  This is not expressed in curriculum choices, only in school events. Eg. the school has a carol service, sings hymns in assembly, speech day is in a church.",Christian,Agnostic,5,4,4.5,4,4,4,5,3,3,4,3,3
+24,Yes,Church of England,1,,No,,,Christian,5,4,4.5,2,3,5,5,4,5,5,5,4
+25,No,,,,No,,,agnostic,5,4,4.5,2,3,5,5,4,4,5,5,4
+26,No,,,,No,,,Practicing Christian,5,5,5,4,4,5,5,5,5,5,5,5
+27,No,,,,Yes,we mark Christian festivals such as Christmas ,Christian,Catholic,4,2,3,2,5,5,5,4,2,4,2,2
+28,Yes,Church of England,1,,No,,,christian,4,4,4,2,4,4,4,2,4,4,4,3
+29,No,,,,No,,,Non-believer,4,2,3,2,1,5,5,2,4,4,4,4
+30,No,,,,Yes,Christian,Christian,Open,4,2,3,4,4,5,5,4,4,2,4,2
+31,No,,,,No,,,Yes,4,4,4,2,2,4,4,4,1,2,2,2
+32,Yes,Roman Catholic,2,,No,,,Catholic,4,3,3.5,3,4,4,5,3,4,5,5,3
+33,Yes,Roman Catholic,2,,No,,,RC,5,4,4.5,4,5,5,5,5,4,4,4,4
+34,No,,,,Yes,Christian ethos inderpins academy values. Founder us a church leader. We have a church attached to one of the school hubs,Christian,Christian,4,4,4,4,4,4,5,4,5,5,5,4
+35,Yes,Church of England,1,,No,,,Christian,4,4,4,2,3,4,4,3,5,4,4,4
+36,No,,,,No,,,c of E,4,3,3.5,4,3,4,2,4,1,2,2,2
+37,Yes,Roman Catholic,2,,No,,,Roman Catholic ,4,3,3.5,4,5,5,5,2,4,4,5,2
+38,No,,,,No,,,Christian ,5,5,5,4,4,3,3,4,4,4,4,4
+39,Yes,Roman Catholic,2,,No,,,Religious,3,3,3,3,3,5,4,2,3,4,3,2
+40,No,,,,No,,,Agnostic ,5,4,4.5,4,3,4,5,5,3,2,4,4
+41,Yes,Church of England,1,,No,,,Christian,4,4,4,4,5,5,5,4,4,5,5,4
+42,Yes,Church of England,1,,No,,,,3,3,3,3,4,3,3,3,3,3,3,3
+43,Yes,Church of England,1,,No,,,Christian,4,3,3.5,4,5,4,5,4,4,4,4,4
+44,No,,,,No,,,cHRISTIAN ,4,4,4,3,3,4,4,3,3,4,4,3
+47,No,,,,No,,,Christian,1,1,1,1,5,5,5,2,2,4,4,2
+50,Yes,Church of England,1,,No,,,"Christian, Sufi",4,4,4,3,5,4,4,4,3,4,3,3
+53,No,,,,,,,,5,4,4.5,2,3,4,4,4,3,4,4,4
+54,No,,,,,,,,2,3,2.5,3,5,5,4,4,3,4,3,3
+56,Yes,Other Christian,4,,Yes,,,,4,4,4,4,5,4,5,5,5,4,5,5
+57,Yes,Other Christian,4,,No,,,,5,2,3.5,2,3,3,3,4,1,2,2,2
+58,Yes,Church of England,1,,No,,,Christian,5,4,4.5,5,5,5,5,4,4,5,4,4
+59,Yes,Roman Catholic,2,,No,,,CATHOLIC,4,2,3,1,5,5,5,4,5,5,5,5
+60,Yes,Church of England,1,,Yes,Multi-academy Trust with core values that are shared,Multi-Academy,Christian,4,3,3.5,2,5,4,4,3,4,3,3,2
+61,No,,,,No,,,Athiest,1,2,1.5,1,5,5,5,5,5,5,5,4
+62,Yes,Church of England,1,,No,,,Christian,4,4,4,3,3,4,5,3,2,3,4,3
+63,No,,,,Yes,"over 60% of our students are Muslims, so this indirectly influences class discussions and interests",Muslim,Humanist,5,4,4.5,2,2,5,4,4,4,2,5,2
+64,Yes,Other Christian,4,,Yes,We have a Christian Ethos underpinning the Academy but we are not a faith school,Christian,Christian,5,2,3.5,2,5,4,4,2,4,4,4,2
+65,Yes,Other Christian,4,,No,,,catholic,4,4,4,4,3,4,4,4,4,4,4,3
+66,Yes,Church of England,1,,No,,,Christian ,4,2,3,2,4,2,4,2,4,2,4,2
+67,No,,,,No,,,Christian,5,4,4.5,2,3,4,4,3,4,4,4,3
+68,Yes,Other Christian,4,,Yes,,,,3,3,3,3,3,4,4,4,3,4,5,4
+69,No,,,,No,,,Agnostic ,4,2,3,2,3,4,3,3,4,4,4,2
+70,No,,,,No,,,Catholic ,2,2,2,2,5,3,3,3,1,3,3,3
+71,No,,,,No,,,Christian,2,2,2,1,4,3,2,2,4,3,4,2
+72,Yes,Church of England,1,,Yes,,,Christian,4,4,4,2,4,2,2,2,1,2,4,2
+73,No,,,,No,,,Anglican Christian,3,3,3,2,4,4,4,2,2,4,4,2
+74,Yes,Church of England,1,,No,,,,5,4,4.5,4,3,4,4,4,3,4,4,4
+75,Yes,Church of England,1,,No,,,Agnostic ,5,4,4.5,5,5,5,4,4,3,4,4,4
+78,No,,,,No,,,C of E,2,2,2,2,4,3,2,2,1,2,2,1
+79,No,,,,No,,,Atheist ,2,2,2,1,5,4,4,3,4,4,3,3
+81,No,,,,No,,,,5,4,4.5,5,5,4,4,4,4,4,4,4
+82,No,,,,No,,,,4,4,4,5,5,5,5,5,4,4,5,5
+84,Yes,Church of England,1,,No,,,,1,1,1,1,5,1,3,1,1,1,3,1
\ No newline at end of file
diff --git a/data/instrument/RE_Teaching_Climate_Emergency_Survey.docx b/data/instrument/RE_Teaching_Climate_Emergency_Survey.docx
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