Stashed changes that weren't there before

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rehughes07 2021-12-09 13:38:42 +00:00
parent 3dbc16246a
commit cdf1a32550

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@ -89,7 +89,22 @@ employability_bar <- ggplot(employability_mean, aes(x = Subject, y = Employabili
employability_bar
```
- separate visualisation of summary data as pie chart only for 4 key subjects: Philosophy, Ethics, Theology, Religious Studies, but with data represented as aggregated "Positive" / "Negative" responses
```{r Visualization for 4 Key Subjects}
## Subset by "Positive" / "Negative"
keysubjects_data <- subject_data[subject_data$Subject == "Philosophy" | subject_data$Subject == "Ethics" | subject_data$Subject == "Theology" | subject_data$Subject == "Religious Studies", ]
recode_interest <- ifelse(1 <= keysubjects_data$Interest & keysubjects_data$Interest >=3, "Positive", "Negative")
keysubjects_data <- cbind(keysubjects_data, recode_interest)
keysubjects_data$recode_interest <- factor(keysubjects_data$recode_interest)
table(keysubjects_data$recode_interest, keysubjects_data$Subject)
```
- subsetted visualisations of responses with separate subsetting by response to Q8-9, Q18, Q17, Q16
- For question Q8 + Q9 (for religious people)
- visualisation summary of responses
@ -103,4 +118,41 @@ employability_bar
- Q8-9 responses
- Q18 responses
- Q17
- Q18
<<<<<<< Updated upstream
- Q18
=======
- Q18
```{r Q6 Correlations - Subject Interest}
#Q8-9 (8 - Theology as subject for religious people; 9 - Religion as study for religious people)
# This would be suitable for correlation
#Q17 (Ethnicity)
# This would be categorical, so ANOVA
#Q18 (Religion)
# This would also be categorical, so ANOVA
```
```{r Q5 Correlations - Subject Knowledge}
#Q8-9 (8 - Theology as subject for religious people; 9 - Religion as study for religious people)
# This would be suitable for correlation
#Q17 (Ethnicity)
# This would be categorical, so ANOVA
#Q18 (Religion)
# This would also be categorical, so ANOVA
```
```{r Q7 Correlations - Employability}
#Q8-9 (8 - Theology as subject for religious people; 9 - Religion as study for religious people)
# This would be suitable for correlation
#Q17 (Ethnicity)
# This would be categorical, so ANOVA
#Q18 (Religion)
# This would also be categorical, so ANOVA
```
>>>>>>> Stashed changes