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Making Q3 into its own file in order to see how that helps with making charts and graphs. TEST
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rehughes07 2021-10-22 14:24:57 +01:00
parent a14e1fde4c
commit 0b15014181
4 changed files with 154 additions and 0 deletions
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4
Connect Project R Markdown.Rmd
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@ -66,8 +66,12 @@ pie(Q26_freq)
#very messy as a pie chart - split by type? Or is it important to see crossover #very messy as a pie chart - split by type? Or is it important to see crossover
```{r Q3 bar/pie} ```{r Q3 bar/pie}
Q3_data <- read.csv("Q3.csv")
``` ```
pie(Q3_freq) pie(Q3_freq)
#also not optimal as pie...perhaps bar #also not optimal as pie...perhaps bar

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connect_data = read.csv("connectDATA.csv")
connect_data = read.csv("connectDATA.csv")
head(connect_data)
View(connect_data)
table(connect_data$Q25)
Q25_frequencies = table(connect_data$Q25)
Q25_frequencies = table(connect_data$Q25)
Q26_freq = table(connect_data$Q26)
Q25_frequencies = table(connect_data$Q25)
Q26_freq = table(connect_data$Q26)
Q26_freq
connect_data = read.csv("connectDATA.csv")
head(connect_data)
connect_data = read.csv("connectDATA.csv")
connect_data = read.csv("connectDATA.csv")
view(connect_data)
View(connect_data)
Q25_frequencies = table(connect_data$Q25)
Q26_freq = table(connect_data$Q26)
Q26_freq
Q25_frequencies = table(connect_data$Q25)
Q_25_frequencies
Q26_freq = table(connect_data$Q26)
Q26_freq
Q25_frequencies = table(connect_data$Q25)
Q_25frequencies
Q26_freq = table(connect_data$Q26)
Q26_freq
Q_25frequencies
Q25_frequencies = table(connect_data$Q25)
Q25_25frequencies
Q25_frequencies
test3 = as.factor(connect_data$Q3, levels = c(1, 2, 3, 4, 5), labels = c("Worldviews", "Religion", "Theology", "Ethics", "Philosophy"))
pie(connect_data$Q25, labels = names(connect_data$Q25))
pie(Q25_frequencies, labels = names(connect_data$Q25))
pie(Q25_frequencies, labels = names(c("maybe", "yes", "no")))
pie(Q25_frequencies, labels = names(connect_data$Q25))
names(Q25_frequencies = c("Maybe", "No", "Yes"))
pie(Q25_frequencies, labels = c("Maybe", "No", "Yes"))
pie(Q26_freq)
Q25_frequencies = table(connect_data$Q25)
Q25_frequencies
Q26_freq = table(connect_data$Q26)
Q26_freq
Q3_freq = table(connect_data$Q3)
Q25_frequencies = table(connect_data$Q25)
Q25_frequencies
Q26_freq = table(connect_data$Q26)
Q26_freq
Q3_freq = table(connect_data$Q3)
Q3_freq
pie(Q3_freq)
knitr::opts_chunk$set(echo = TRUE)
pie(Q25_frequencies, labels = c("Maybe", "No", "Yes"))
cor(Q_20, Q_22, data=connect_data)
cor(connect_data$Q_20, connect_dataQ_22)
cor(connect_data$Q_20, connect_data$Q_22)
Q3_data <- read.csv("Q3.csv")
setwd("~/Documents/GitHub/re_connect_survey/data")
Q3_data <- read.csv("Q3.csv")
read.csv("Q3.csv)
data=read.csv("Q3.csv)
Q3_data <- read.csv("Q3.csv")
Q3_data <- read.csv("Q3.csv")

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Q3,Participant,Worldviews,Religion,Theology,Ethics,Philosophy
"2,3,4,5",1,FALSE,TRUE,TRUE,TRUE,TRUE
"1,2,3,4,5",2,TRUE,TRUE,TRUE,TRUE,TRUE
"1,2,3,4,5",3,TRUE,TRUE,TRUE,TRUE,TRUE
"2,5",4,FALSE,TRUE,FALSE,FALSE,TRUE
"1,2,3,4,5",5,TRUE,TRUE,TRUE,TRUE,TRUE
"1,2,3,5",6,TRUE,TRUE,TRUE,FALSE,TRUE
"1,2,3,4,5",7,TRUE,TRUE,TRUE,TRUE,TRUE
"2,3,4,5",8,FALSE,TRUE,TRUE,TRUE,TRUE
"1,2,3,4,5",9,TRUE,TRUE,TRUE,TRUE,TRUE
"1,2,3,4,5",10,TRUE,TRUE,TRUE,TRUE,TRUE
"1,2,3,5",11,TRUE,TRUE,TRUE,FALSE,TRUE
"1,2,3,4,5",12,TRUE,TRUE,TRUE,TRUE,TRUE
"1,2,3,4,5",13,TRUE,TRUE,TRUE,TRUE,TRUE
"2,4,5",14,FALSE,TRUE,FALSE,TRUE,TRUE
"1,2,3,4,5",15,TRUE,TRUE,TRUE,TRUE,TRUE
2,16,FALSE,TRUE,FALSE,FALSE,FALSE
"1,2,3,4,5",17,TRUE,TRUE,TRUE,TRUE,TRUE
"1,2,4,5",18,TRUE,TRUE,FALSE,TRUE,TRUE
2,19,FALSE,TRUE,FALSE,FALSE,FALSE
"1,2,3,4,5",20,TRUE,TRUE,TRUE,TRUE,TRUE
"1,2,3,4,5",21,TRUE,TRUE,TRUE,TRUE,TRUE
"1,2,3,4,5",22,TRUE,TRUE,TRUE,TRUE,TRUE
"2,3,4,5",23,FALSE,TRUE,TRUE,TRUE,TRUE
"1,2,3,4,5",24,TRUE,TRUE,TRUE,TRUE,TRUE
"1,2,3,4,5",25,TRUE,TRUE,TRUE,TRUE,TRUE
2,26,FALSE,TRUE,FALSE,FALSE,FALSE
"1,2",27,TRUE,TRUE,FALSE,FALSE,FALSE
"1,2",28,TRUE,TRUE,FALSE,FALSE,FALSE
"1,2",29,TRUE,TRUE,FALSE,FALSE,FALSE
"1,2,3,4,5",30,TRUE,TRUE,TRUE,TRUE,TRUE
2,31,FALSE,TRUE,FALSE,FALSE,FALSE
"1,2,3,4,5",32,TRUE,TRUE,TRUE,TRUE,TRUE
"1,2,3,4",33,TRUE,TRUE,TRUE,TRUE,FALSE
"1,2,3,4,5",34,TRUE,TRUE,TRUE,TRUE,TRUE
"1,2,3,4,5",35,TRUE,TRUE,TRUE,TRUE,TRUE
"1,2",36,TRUE,TRUE,FALSE,FALSE,FALSE
"1,2,3,4,5",37,TRUE,TRUE,TRUE,TRUE,TRUE
"1,2,3,4,5",38,TRUE,TRUE,TRUE,TRUE,TRUE
"2,3,5",39,FALSE,TRUE,TRUE,FALSE,TRUE
"1,2,3,4,5",40,TRUE,TRUE,TRUE,TRUE,TRUE
2,41,FALSE,TRUE,FALSE,FALSE,FALSE
2,42,FALSE,TRUE,FALSE,FALSE,FALSE
2,43,FALSE,TRUE,FALSE,FALSE,FALSE
"1,2",44,TRUE,TRUE,FALSE,FALSE,FALSE
"1,2,3,4,5",45,TRUE,TRUE,TRUE,TRUE,TRUE
"1,2,3,4,5",46,TRUE,TRUE,TRUE,TRUE,TRUE
"1,2,3,4,5",47,TRUE,TRUE,TRUE,TRUE,TRUE
2,48,FALSE,TRUE,FALSE,FALSE,FALSE
2,49,FALSE,TRUE,FALSE,FALSE,FALSE
2,50,FALSE,TRUE,FALSE,FALSE,FALSE
"1,2",51,TRUE,TRUE,FALSE,FALSE,FALSE
2,52,FALSE,TRUE,FALSE,FALSE,FALSE
"2,4,5",53,FALSE,TRUE,FALSE,TRUE,TRUE
"1,2,4,5",54,TRUE,TRUE,FALSE,TRUE,TRUE
"2,3,4,5",55,FALSE,TRUE,TRUE,TRUE,TRUE
"1,2,3",56,TRUE,TRUE,TRUE,FALSE,FALSE
2,57,FALSE,TRUE,FALSE,FALSE,FALSE
"1,2,3,5",58,TRUE,TRUE,TRUE,FALSE,TRUE
"1,2,3,4,5",59,TRUE,TRUE,TRUE,TRUE,TRUE
2,60,FALSE,TRUE,FALSE,FALSE,FALSE
"2,3,4,5",61,FALSE,TRUE,TRUE,TRUE,TRUE
"1,2",62,TRUE,TRUE,FALSE,FALSE,FALSE
"1,2,3,4,5",63,TRUE,TRUE,TRUE,TRUE,TRUE
"1,2,3,4,5",64,TRUE,TRUE,TRUE,TRUE,TRUE
"2,3,4,5",65,FALSE,TRUE,TRUE,TRUE,TRUE
"1,2",66,TRUE,TRUE,FALSE,FALSE,FALSE
"1,2",67,TRUE,TRUE,FALSE,FALSE,FALSE
4,68,FALSE,FALSE,FALSE,TRUE,FALSE
"1,2,3,4,5",69,TRUE,TRUE,TRUE,TRUE,TRUE
2,70,FALSE,TRUE,FALSE,FALSE,FALSE
"1,2,4,5",71,TRUE,TRUE,FALSE,TRUE,TRUE
"1,2",72,TRUE,TRUE,FALSE,FALSE,FALSE
"1,2",73,TRUE,TRUE,FALSE,FALSE,FALSE
"1,2",74,TRUE,TRUE,FALSE,FALSE,FALSE
2,75,FALSE,TRUE,FALSE,FALSE,FALSE
"2,3,4,5",76,FALSE,TRUE,TRUE,TRUE,TRUE
"1,2",77,TRUE,TRUE,FALSE,FALSE,FALSE
2,78,FALSE,TRUE,FALSE,FALSE,FALSE
2,79,FALSE,TRUE,FALSE,FALSE,FALSE
2,80,FALSE,TRUE,FALSE,FALSE,FALSE
"1,2,4",81,TRUE,TRUE,FALSE,TRUE,FALSE
"1,5",82,TRUE,FALSE,FALSE,FALSE,TRUE
"1,2",83,TRUE,TRUE,FALSE,FALSE,FALSE
"1,2,4,5",84,TRUE,TRUE,FALSE,TRUE,TRUE
2,85,FALSE,TRUE,FALSE,FALSE,FALSE
1 Q3 Participant Worldviews Religion Theology Ethics Philosophy
2 2,3,4,5 1 FALSE TRUE TRUE TRUE TRUE
3 1,2,3,4,5 2 TRUE TRUE TRUE TRUE TRUE
4 1,2,3,4,5 3 TRUE TRUE TRUE TRUE TRUE
5 2,5 4 FALSE TRUE FALSE FALSE TRUE
6 1,2,3,4,5 5 TRUE TRUE TRUE TRUE TRUE
7 1,2,3,5 6 TRUE TRUE TRUE FALSE TRUE
8 1,2,3,4,5 7 TRUE TRUE TRUE TRUE TRUE
9 2,3,4,5 8 FALSE TRUE TRUE TRUE TRUE
10 1,2,3,4,5 9 TRUE TRUE TRUE TRUE TRUE
11 1,2,3,4,5 10 TRUE TRUE TRUE TRUE TRUE
12 1,2,3,5 11 TRUE TRUE TRUE FALSE TRUE
13 1,2,3,4,5 12 TRUE TRUE TRUE TRUE TRUE
14 1,2,3,4,5 13 TRUE TRUE TRUE TRUE TRUE
15 2,4,5 14 FALSE TRUE FALSE TRUE TRUE
16 1,2,3,4,5 15 TRUE TRUE TRUE TRUE TRUE
17 2 16 FALSE TRUE FALSE FALSE FALSE
18 1,2,3,4,5 17 TRUE TRUE TRUE TRUE TRUE
19 1,2,4,5 18 TRUE TRUE FALSE TRUE TRUE
20 2 19 FALSE TRUE FALSE FALSE FALSE
21 1,2,3,4,5 20 TRUE TRUE TRUE TRUE TRUE
22 1,2,3,4,5 21 TRUE TRUE TRUE TRUE TRUE
23 1,2,3,4,5 22 TRUE TRUE TRUE TRUE TRUE
24 2,3,4,5 23 FALSE TRUE TRUE TRUE TRUE
25 1,2,3,4,5 24 TRUE TRUE TRUE TRUE TRUE
26 1,2,3,4,5 25 TRUE TRUE TRUE TRUE TRUE
27 2 26 FALSE TRUE FALSE FALSE FALSE
28 1,2 27 TRUE TRUE FALSE FALSE FALSE
29 1,2 28 TRUE TRUE FALSE FALSE FALSE
30 1,2 29 TRUE TRUE FALSE FALSE FALSE
31 1,2,3,4,5 30 TRUE TRUE TRUE TRUE TRUE
32 2 31 FALSE TRUE FALSE FALSE FALSE
33 1,2,3,4,5 32 TRUE TRUE TRUE TRUE TRUE
34 1,2,3,4 33 TRUE TRUE TRUE TRUE FALSE
35 1,2,3,4,5 34 TRUE TRUE TRUE TRUE TRUE
36 1,2,3,4,5 35 TRUE TRUE TRUE TRUE TRUE
37 1,2 36 TRUE TRUE FALSE FALSE FALSE
38 1,2,3,4,5 37 TRUE TRUE TRUE TRUE TRUE
39 1,2,3,4,5 38 TRUE TRUE TRUE TRUE TRUE
40 2,3,5 39 FALSE TRUE TRUE FALSE TRUE
41 1,2,3,4,5 40 TRUE TRUE TRUE TRUE TRUE
42 2 41 FALSE TRUE FALSE FALSE FALSE
43 2 42 FALSE TRUE FALSE FALSE FALSE
44 2 43 FALSE TRUE FALSE FALSE FALSE
45 1,2 44 TRUE TRUE FALSE FALSE FALSE
46 1,2,3,4,5 45 TRUE TRUE TRUE TRUE TRUE
47 1,2,3,4,5 46 TRUE TRUE TRUE TRUE TRUE
48 1,2,3,4,5 47 TRUE TRUE TRUE TRUE TRUE
49 2 48 FALSE TRUE FALSE FALSE FALSE
50 2 49 FALSE TRUE FALSE FALSE FALSE
51 2 50 FALSE TRUE FALSE FALSE FALSE
52 1,2 51 TRUE TRUE FALSE FALSE FALSE
53 2 52 FALSE TRUE FALSE FALSE FALSE
54 2,4,5 53 FALSE TRUE FALSE TRUE TRUE
55 1,2,4,5 54 TRUE TRUE FALSE TRUE TRUE
56 2,3,4,5 55 FALSE TRUE TRUE TRUE TRUE
57 1,2,3 56 TRUE TRUE TRUE FALSE FALSE
58 2 57 FALSE TRUE FALSE FALSE FALSE
59 1,2,3,5 58 TRUE TRUE TRUE FALSE TRUE
60 1,2,3,4,5 59 TRUE TRUE TRUE TRUE TRUE
61 2 60 FALSE TRUE FALSE FALSE FALSE
62 2,3,4,5 61 FALSE TRUE TRUE TRUE TRUE
63 1,2 62 TRUE TRUE FALSE FALSE FALSE
64 1,2,3,4,5 63 TRUE TRUE TRUE TRUE TRUE
65 1,2,3,4,5 64 TRUE TRUE TRUE TRUE TRUE
66 2,3,4,5 65 FALSE TRUE TRUE TRUE TRUE
67 1,2 66 TRUE TRUE FALSE FALSE FALSE
68 1,2 67 TRUE TRUE FALSE FALSE FALSE
69 4 68 FALSE FALSE FALSE TRUE FALSE
70 1,2,3,4,5 69 TRUE TRUE TRUE TRUE TRUE
71 2 70 FALSE TRUE FALSE FALSE FALSE
72 1,2,4,5 71 TRUE TRUE FALSE TRUE TRUE
73 1,2 72 TRUE TRUE FALSE FALSE FALSE
74 1,2 73 TRUE TRUE FALSE FALSE FALSE
75 1,2 74 TRUE TRUE FALSE FALSE FALSE
76 2 75 FALSE TRUE FALSE FALSE FALSE
77 2,3,4,5 76 FALSE TRUE TRUE TRUE TRUE
78 1,2 77 TRUE TRUE FALSE FALSE FALSE
79 2 78 FALSE TRUE FALSE FALSE FALSE
80 2 79 FALSE TRUE FALSE FALSE FALSE
81 2 80 FALSE TRUE FALSE FALSE FALSE
82 1,2,4 81 TRUE TRUE FALSE TRUE FALSE
83 1,5 82 TRUE FALSE FALSE FALSE TRUE
84 1,2 83 TRUE TRUE FALSE FALSE FALSE
85 1,2,4,5 84 TRUE TRUE FALSE TRUE TRUE
86 2 85 FALSE TRUE FALSE FALSE FALSE