So, I recently came across the Bokeh visualization library which uses Python to generated plots, but they are rendered in JS (like the most of the great interactive visualization tools recently). I also noticed my fellow Twitter user took on the challenge to learn Bokeh over the next 30 days and post their results, so I decided to try as well.
I am taking on challenge to learn and use @BokehPlots for the next 30 days (inspired by @chrisremmel). This is really cool library for data viz in Python and Jupyter Notebooks.#30DaysOfBokehChallenge— Konstantin Taletskiy (@ktaletsk) August 5, 2019
I was hearing a lot about 5G coming to US soon and got curious about what frequencies will be used, and which are available. I did not know much about it so I searched and found this PDF infographics on FCCs website: https://www.ntia.doc.gov/files/ntia/publications/2003-allochrt.pdf. There were couple of problems with it: it was too small and non-interactive, so I decided to make a better one myself.
Day 1/30 of #30DaysOfBokehChallenge:— Konstantin Taletskiy (@ktaletsk) August 5, 2019
Trying to create a better visualization for Radio Spectrum in the US. Radio Spectrum is the common good and better understanding how it is managed is very important especially now with the roll-out of 5G and satellite Internet.
The preliminary result is here:... ➦