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+Prep work:
+  - JK: aggregation of free-text answers: Q4, Q12/13-14, Q15-16, Q21, Q4 so that they can be used for subsetting (as above)
+
+Data summary/visualisation with subsetting:
+  - RH: display simple summary of data (bar/pie chart) to Q25/26, Q3
+  - RH: display summaries of responses to key questions for Q22 (syllabus evaluation), Q23, Q24, Q25, Q26, Q27, with subsetting by:
+    - Q8 (school type)
+    - Q9 (school size)
+    - Q10 (school location)
+    - Q1 (grade level) + Q35 (teaching role) + +Q5 (teaching proportion) Q2 (tenure) + and Q3 (subjects taught), + Q6/Q7 (management)
+    - Q12-14 (school's official religion) / Q15-16 (school's informal religion)
+    - Q21 (respondent personal religious background)
+    - Q4 (teacher's degree subject)
+    - Q18 (respondent gender)
+    - Q19 (respondent ethnic self-desc)
+
+Correlation testing:
+  - RH: test for correlation between "social issue" box ticked on Q20 and responses to 
+  - RH: test for correlation between responses to religion questions: Q12-14, Q15-16 and Q21 and responses to Q22, Q23, Q24, Q25, Q27, Q30
+
+
+Great to get done if we have time:
+
+  - JK: do geospatial visualisation of answers to Q11
+  - JK: calculate IMD and census data for postcodes and re-embed in dataset
+  - Pull in external data to get comparator baseline for Q21 (religion), Q8 (school type), Q18
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