Jingwen Zheng - page 4

This blog talks about how to manipulate data with "pyspark" module in a Docker container.

Recently, lots of European countries started to stop the lockdown. Thus, I'm curious about the actual COVID-19 situation around the world. In this blog, I will talk about the worldwide COVID-19 pandemic in the following points...

33 things to know about pandas dataframe

24 things to know about pandas series

This blog talks about the users of Paris' wifi hotspots in terms of user language and device.

At the same time of last month, China reached its peak of COVID-19 pandemic for the first stage. After March, the COVID-19's proliferation spread to other countries around the world, especially in Europe and North America.

Matplotlib is a well-known python library used for data visualisation, we usually create static plots with it. But how if we create animated graph to present the evolution in terms of time? In this blog, I will show you how to create animated graphs with matplotlib.

From the COVID-19's outbreak until 23 March, 378139 people are / have been infected all around the world. The number of people who have dead exceeds 16400. Nearly 190 countries have confirmed cases. In this blog, I focus on the top 10 countries in terms of cumulative confirmed cases.