COVID-19_Visualization

Introduction:

This notebook demostrates various programming functions and uses of data science knowledge with the 2020 COVID-19 dataset

Most of the content pratices the fundamental basic of data science analysis, thus it is able to determine if one has interest in this field without diving too deep

All documentation and codes can be found in the covid-19_visualization.ipynb

The datasets used are in the datasets folder and the images used along with the plots produced can be found in the image_source folder

Visualization of covid-19 cases from 2020 throughout the globe

The COVID-19 coronavirus first started to spread in China's Wuhan province in December 2019, and the World Health Organization (WHO) declared the COVID-19 outbreak a pandemic on March 11, 2020. Ever since, there have been large outbreaks all over the world.
This notebook will visualize the spread of COVID-19 across the globe, along with a linear regression prediction.

Big thanks to organizations around the world, this notebook is only possible because the data collected by them. Notably, the Johns Hopkins University Center for Systems Science and Engineering created a publicly available data repository to consolidate this data from sources like the WHO, the Centers for Disease Control and Prevention (CDC), and the Ministry of Health from multiple countries. Please note that the COVID-19 information and data are still constantly being updated. This project's data is obtained on March 17, 2020, therefore it should not be regarded the most up-to-date data available.

Sneak peek:

some of the plots produced in this notebook
the codes can be found in the notebook

China vs. World

Accummulation of COVID-19 cases trend between China and the world

Annotation of events

Events that occur during the pandemic

Demostrate linear regression

The trend if the cases increase linearly

Multiple category plot

Plotting for different country cases