Why Statistics Don’t Capture the Full Extent of the Systemic Bias in Policing 🚨
An insightful article by FiveThirtyEight, which goes through why we don’t have enough data to properly analyze the bias of policing because we don’t have the data on the individual bias from the police officer. In other words, a police officer has full control over who they approach, but they don’t report on who they do not contact.
Why Statistics Don’t Capture The Full Extent Of The Systemic Bias In Policing (FiveThirtyEight)
Visualizing Statistics with Seeing Theory 📊
I’ve been going deep into statistics and probability in my Bootcamp studies. Instead of only learning formulas, I’m focusing on understanding the mental models. Brown University has put together beautiful and very useful visualizations and demonstrations of fundamental statistical and probability theory.
Seeing Theory (Brown University)
Corona Data Scraper 🦠
If you’re looking for COVID-19 data, this seems like the best source. It scrapes data from verified sources and links to some useful visualizations.
Google Colab Tips for Power Users 🚀
These are some good useful tips for those who like to use Google Collaboratory for their notebooks. Tip #14 is pretty rad for pandas users.
Google Colab Tips for Power Users (Amit Chaudhary)
Things are getting weird. I’m going to keep these dashboards readily available so we can track things. Stay safe out there!
- Johns Hopkins ArcGIS Dashboard
- United States By County Dashboard
- nCoV2019.live Dashboard
- Rt.live (Rt = Rate of Transmission)
- An interactive visualization of the exponential spread of COVID-19
- COVID-19 Data for Locations of People You Love (i.e. Data by US County)
If you have any other dashboards to share, please send them my way.