Paper V2, V1 | API Documentation, Tutorial, Galery | Website
Are you a policy-maker who wants to see the dynamics of national income inequality? Are you a researcher who wants to visualize economic growth puzzles such as convergence? Or are you simply a curious individual who wants to see your position in the national income distribution? Wonder no more because we present incomevis, a library for income visualization (and more)!
Comparing incomes is complicated. We offer three default deflators (consumer price index, household size, and regional price parities) to adjust nominal household income. The income adjustment process is automatically handled for you. You can further adjust our deflated incomes if you have additional variables that you want to incorporate. Also, if you like interactive visualization, our graph can be displayed using JavaScript's amChart library. If you prefer an animated visualization, we offer a dynamically controlled animation of our graph based on Python Matplotlib library.
Happy visualizing economic complexity!
- 01/2021: Our paper is presented at National Collegiate Research Conference, Harvard University.
- 03/2021: incomevis is presented at the Analytics Department at Community Health Network for Black History Month.
- 08/2021: We use incomevis for a new course title ECON390: Economics of Inequality at DePauw University.
- 08/2021: Help wanted! We are looking for maintainer for this project. Please contact sttruong@cs.stanford.edu if you are interested.
incomevis can be installed via pip:
$ pip install incomevisThis project is co-authored by Sang Truong (Stanford University) and Humberto Barreto (DePauw University). Please direct any question, feedback, or comment to sttruong@cs.stanford.edu or hbarreto@depauw.edu for support. This project was started in the summer 2019 under the support of Hewlett Mellon Presidential Fund for undergraduate research at DePauw University. We thank Frank Howland, Jonah Barreto, Jarod Hunt, and Bu Tran their support on preparing the manuscript.