This project provides a hands-on exploration of COVID19 data analysis techniques using Python. It covers data preparation, analysis, and visualization, aiming to understand correlations with happiness ...

Create temporary views in databricks to query and build basic visualizations using Spark SQL Create database tables so that external tools can access the data that we collected and cleaned. Example: ...

The COVID-19 pandemic is generating waves of data points from around the world, recording the number of tests performed, cases confirmed, patients recovered, and people who have died from the virus.

Charts can mislead, misinform, and cause panic. Here’s how to become conversant in the language of data visualization—and better understand the COVID-19 pandemic. We are in the middle of an ...

Using data from the widely circulated Johns Hopkins COVID-19 tracking map, a cross-disciplinary team of JHU researchers recently began developing an array of new data visualization tools to help ...

A deluge of COVID-19 data is being recorded, but it isn’t always perfect or consistent. A common mistake is to underestimate how these limitations can skew the message of a visualization.

Why is data visualization important? The COVID-19 pandemic may have been the proverbial straw to break the old business paradigm, because the past year saw many organizations rethink their operating ...

MIT researchers found that Covid-19 skeptics on Twitter and Facebook — far from being “data illiterate” — often use sophisticated data visualization techniques to argue against public ...