#!/usr/bin/env python # coding: utf-8 # # Expanding the measurement of culture with a sample of two billion humans # ## Replication Data and Code # This notebook provides all the steps to replicate the results of our paper [Expanding the measurement of culture with a sample of two billion humans](https://doi.org/10.1098/rsif.2022.0085) published in the *Journal of the Royal Society Interface 19:20220085* (2022). # ## Binder startup notebook # From here you can open the other notebooks in this repository. # # # Notebooks # # 1. [Country-Level Main Analysis](./1-Country-Distance-Main-Analyses.ipynb) # 2. [Country-Level Robustness Analysis - Euclidean Distances](./2-Country-Distance-Main-Analyses-Euc.ipynb) # 3. [Country-Level Robustness Analysis - Major Categories](./3-Country-Distance-Robustness-Analyses.ipynb) # 4. [Country-Level Robustness Analysis - Penetration+](./4-Country-Distance-Robustness-Penetration-Above.ipynb) # 5. [Country-Level Robustness Analysis - Penetration-](./5-Country-Distance-Robustness-Penetration-Below.ipynb) # 6. [Country-Level Robustness Analysis - Age+](./6-Country-Distance-Robustness-Age-Above.ipynb) # 7. [Country-Level Robustness Analysis - Age-](./7-Country-Distance-Robustness-Age-Below.ipynb) # 8. [Country-Level Robustness Analysis - Gender+](./8-Country-Distance-Robustness-Gender-Above.ipynb) # 9. [Country-Level Robustness Analysis - Gender-](./9-Country-Distance-Robustness-Gender-Below.ipynb) # 10. [Country-Level Robustness Analysis - Population Size & Penetration](./10-Country-Distance-Robustness-Population-Penetration.ipynb) # 11. [Region-Level Analysis - Similarity](./11-Plot-Region-Boxplots-Panel.ipynb) # 12. [Region & Gender - Similarity](./12-Region-Gender-Age-Cohesion-Scatter.ipynb) # 13. [Region & Gender - Similarity II](./13-Region-Gender-Age-Cohesion-Histo.ipynb) # # In[ ]: