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Visualization toolbox for income distribution

Project description


License: MIT Python Versions PyPI Version Downloads

Paper | Step-by-step Notebook | Documentation | PyPI package |External Resources

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!

Installation

incomevis can be installed via pip:

$ pip install incomevis

Gallery

Interactive graph (top) and dynamic graph (bottom) is implement in JavaScript AmChart and Python Matplotlib, respectively. More instant examples of interactive graphs can be found at research.depauw.edu/econ/incomevis. Animated graphs with better control can be generated in a (preferably local) Python environment (for example, see this notebook).

4 levels of deflating income.

Bellow are bootstrap resampling of 50p of DC in 1977 10000 times (bottom right) and 1 million times (bottom left). We also show the relative growth of CA and DC overtime.

A completed and separated page for gallery will be available soon!

Contact

Any question, feedback, or comment can be directed to sttruong@stanford.edu or hbarreto@depauw.edu.

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