- Create code structure
- Create setup.py
- Write main script
- Write data parsing
- Write initial version of SEM model
- Update visualization
- Update regression
- Add histograms to command line script
- Write SEM visualization
- Remove data from code repo
- Move files in root directory to respective folders
- Update README with main script usage examples
- Finish SEM model
- Split percent upzoned by borough
- Transform variables for roughly normal histograms, excluding the spikes at zero for percent upzoned.
- Add regressions between upzoning and dependent variables
- Add regressions between dependent variables
- Make gentrification latent variable using income, education, race
- Add functionality for multiple transformations
- Make dependent variables covariate (using threshold)
- Create demo