OAC-2021/2

Creation of the 2021/2 Output Area Classification

Scripts

• Metadata.R - creating reference tables and glossaries for Census data.
• Downloading_data.R – downloading 2011 and 2021 Census data from NOMIS using nomisr package.
• Comparing_Censuses.R - data cleaning and amalgamation.
• Transforming_Census_data.R – data manipulation and transformation for the classification.
• NI.R – modelling 2021 data for Northern Ireland.
• Correlation.R - testing correlation between the variables.
• Pre-clustering.R - preparing data for clustering.
• Clustering.R - clustering of the data.
• Post-clustering.R - creating maps and plots of the cluster solution.
• Testing_clustering.R
• Clustergrams.ipynb – creating Clustergrams in Python. (Credits: Prof Alex Singleton)
• Industry.R - loading Industry data
• Industry_classification.R - creating geodemographic classification with Industry variables
• Graph_comparisons.R - comparing data with graphs

Data

List of folders (subfolders & files) in the project:

• API - Census data downloaded and saved with use of nomisr package.
• Clean – amalgamated data ready for the analysis. Downloadable via this link.
  • Raw_counts - datasets with raw counts
  • Percentages - datasets transformed into percentages
  • Transformed - datasets transformed with IHS (analysis-ready)
  • Final_variables - datasets with OAC variables only
  • All_data_clustering - results of the clustering for all investigated datasets.
• Clustering - datasets with cluster assignment for the UK and centroids.
• Lookups - reference tables for 2011 and 2021 Census variables.
• NISRA 2021 - 2021 Census data at LGD level for Northern Ireland.
• Objects - R objects created and stored to ensure consistency of the results or load big files
• SIR – contingency tables on disability counts by age, utilised for calculation of Standardised Illness Ratio.

Plots

Downloadable via this link.

• Bar_plots - Comparison of clusters to the UK (as well as Supergroup and Group averages)
• Clustergrams – plots used to establish number of clusters at each classification level.

Maps

Downloadable via this link.