This is a collection of my data visualizations, mostly made with Python.

This animation is an expansion on the excellent write up by Hasan Al-Jamaly, Maximillian Siemers, Owen Shen, and Nicole Stone for a project in Brad Voytek's UCSD course. The writeup can be found here: https://owenshen24.github.io/charting-death/

Code: bar_cod.py

Data: Death: Reality vs. Reported

This GIF is shortened from the full dataset of 18 years to only 2 years due to file size restrictions. Full resolution videos from 2000-2018 are on YouTube.

• Normalized Difference Vegetation Index (NDVI) animation: https://youtu.be/OK_HI3sjbtI
• Enhanced Vegetation Index (EVI) animation: https://youtu.be/UytH99Zc2L8

All credit for the imagery products go to the NASA MODIS Science Team. I only collected the images into animations and annotated them.

Code: modis_vegetation.py

Data: NASA MODIS Sensor on Terra Satellite LP DAAC

Code: hyg_scatter.py

Data: HYG Stellar Database v3

Contest: r/DataIsBeautiful DataViz Battle 2018-03

Code: ssm_violin.py

Code: ssm_joy.py

Data: Pew Research Center via DataViz Battle Feb 2018

Contest: r/DataIsBeautiful DataViz Battle 2018-02

Contest entry: Reddit post - Honorable Mention

Code: dot_pairs_ceo_compensation.py

Data: Reddit post by u/k0m0d0z0

Code: pop_joy.py

Data (raw): https://census.gov/data/tables/time-series/demo/popest/pre-1980-state.html

Data (manually aggregated/cleaned): USA_Population_of_States_US_Census_Intercensal_Tables_1917-2017.csv

The parts that stand out to me are the two big bumps 9 months after Pearl Harbor and 9 months after the war ended in Sep 1945. Those bumps are so big that the full chart pretty much only shows Baby Boomers.

Code: birth_heatmap.py

Birth data: Human Mortality Database

Population data: US Census Bureau

Population data (aggregated): USA_Population_of_States_US_Census_Intercensal_Tables_1917-2017.csv