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.

Though more complicated as it requires programming knowledge, Python allows you to perform any manipulation, transformation, and visualization of your data. It is ideal for data scientists.