gender-data-exploration

This is a project to practice data visualization skills as part of the Master in Geospatial Technologies.

We explored data on income by gender and state in Brazil and Mexico. Through the visualizations, it is possible to see the spatial distribution of income by gender, the relative (women/men) income, and the participation in labor by gender.

Check the notebook with the cell outputs at: https://nbviewer.org/github/rebeca53/gender-data-exploration/blob/main/Gender_Financial_Inclusion_in_Latin_America_%28Mexico_and_Brazil%29_Notebook.ipynb

Plus

I also trained machine learning models to predict individual income in Brazil. Ensemble learners achieve higher accuracy. However, simple learners like LASSO have better interpretability in understanding and ranking the variables that influence income. You can check the results in this presentation.

Outputs

The following charts were generated by the notebook:

Distribution of income across states in Brazil and Mexico for Women and Men (2019)

Map comparison of income by gender in Brazil (2019)

Map comparison of income by gender in Mexico (2019)

Map of participation of labour of women in Brazil (2019)

Map of participation of labour of women in Mexico (2019)

Map of relative income in Brazil (2019)

Map of relative income in Mexico (2019)