trs_admissions_survey2021/TODO.taskpaper

# Prep work (JK):
	- JK: aggregation of free-text answers: Q17, Q18 so that they can be used for subsetting @done

# Basic summary visualisations (RH):
- Q2 (respondent age) @done
- Q3 (year of study) @done
- Q16 (gender identity) @done
- Q17 (ethnic self-id) @done
- Q18 (religion) @done

# Visualisations of LIKERT responses (RH):
- For questions Q6 (subject interest) / Q5 (subject knowledge) / Q7 employability prospects: 
	- visualisation as summaries for all subjects LIKERT data as stacked bar chart (colours for bar segments from cool to warm)
	- 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
	- 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
	- show subsetted visualisations of responses by response to, Q18, Q17, Q16, Q13, Q14
- For responses to Q10-12 (what subjects are involved in...):
	- represent answer counts as descending bar chart for each Q
	- subset answers by Q6 (positive / negative) and Q5 (positive / negative)

# Correlation testing:
- For Q6 (subject interest) / Q5 (subject knowledge) / Q7 employability prospects, test for nature / strength of correlation with responses to:
	- Q8-9 responses
	- Q18 responses
	- Q17
	- Q18

# Dataset corrections:
- typo in Interest_data$InterestinstudyingSociaology
- adapt Interest_data$InterestedinStudyingPsychology to be consistent and others

# Visualisation formatting:
- Add colour to bar charts with colorbrewer()

For later:
- JK: calcuate baseline comparator using UCAS application data for Q5/6, stack with UOB application data for key subjects + 2-3 other samples

Bonus, if time permitting:
- show numeric count with percentage calc of total for "prefer not to say" and "Neither/Nor" responses on bar chart for Q5/Q6/Q7
- test for correlations between responses to Q10-12 and Q5-7
- create sankey visualisation of answers on Q6/5/7 with Religion / Theology
- create concept map visualisation of answers on Q5-7
- create sunburst style visualisation to represent subsetting on Q5-7
added todo 2021-10-08 07:40:00 +00:00			`# Prep work (JK):`
fixed likert stacked bars 2021-12-13 10:31:37 +00:00			`- JK: aggregation of free-text answers: Q17, Q18 so that they can be used for subsetting @done`
added todo 2021-10-08 07:40:00 +00:00
			`# Basic summary visualisations (RH):`
fixed likert stacked bars 2021-12-13 10:31:37 +00:00			`- Q2 (respondent age) @done`
			`- Q3 (year of study) @done`
			`- Q16 (gender identity) @done`
			`- Q17 (ethnic self-id) @done`
			`- Q18 (religion) @done`
added todo 2021-10-08 07:40:00 +00:00
			`# Visualisations of LIKERT responses (RH):`
			`- For questions Q6 (subject interest) / Q5 (subject knowledge) / Q7 employability prospects:`
			`- visualisation as summaries for all subjects LIKERT data as stacked bar chart (colours for bar segments from cool to warm)`
			`- 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`
			`- 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`
			`- show subsetted visualisations of responses by response to, Q18, Q17, Q16, Q13, Q14`
			`- For responses to Q10-12 (what subjects are involved in...):`
			`- represent answer counts as descending bar chart for each Q`
			`- subset answers by Q6 (positive / negative) and Q5 (positive / negative)`

			`# Correlation testing:`
			`- For Q6 (subject interest) / Q5 (subject knowledge) / Q7 employability prospects, test for nature / strength of correlation with responses to:`
			`- Q8-9 responses`
			`- Q18 responses`
			`- Q17`
			`- Q18`

fixed likert stacked bars 2021-12-13 10:31:37 +00:00			`# Dataset corrections:`
			`- typo in Interest_data$InterestinstudyingSociaology`
			`- adapt Interest_data$InterestedinStudyingPsychology to be consistent and others`

			`# Visualisation formatting:`
			`- Add colour to bar charts with colorbrewer()`

added todo 2021-10-08 07:40:00 +00:00			`For later:`
			`- JK: calcuate baseline comparator using UCAS application data for Q5/6, stack with UOB application data for key subjects + 2-3 other samples`

			`Bonus, if time permitting:`
			`- show numeric count with percentage calc of total for "prefer not to say" and "Neither/Nor" responses on bar chart for Q5/Q6/Q7`
			`- test for correlations between responses to Q10-12 and Q5-7`
			`- create sankey visualisation of answers on Q6/5/7 with Religion / Theology`
			`- create concept map visualisation of answers on Q5-7`
			`- create sunburst style visualisation to represent subsetting on Q5-7`