# 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