Project 1 and 2 =============== These projects are from the Module 1 and Module 2 on data exploration and statistical inference. The projects are about analysis of COVID-19 infection data. The jupyter notebook script of this project can be found `here `_ and the full report on the methodology can be found `here `_. What we did in this project? ---------------------------- - Extract, clean and combine valuable information of time series on up-to-date Covid cases reports, together with government stringency indicators and socioeconomic indicators from most countries around the world. - Visualize the current situation related to the pandemic dynamics worldwide. - Find correlation in the stringency indicators, socioeconomic indicator and the pandemic dynamics. - Identify patterns in countries with the best response against the pandemic outbreak. Data Sources ------------ 1. Covid epidemiology time series: this data was collected directed from the git repository of COVID-19 Dashboard application by the Center for Systems Science and Engineering (CSSE) at Johns Hopkins University `[1] `_. 2. Covid government response indicator: this dataset was collected from the git repository of the Oxford COVID-19 Government Response Tracker, Blavatnik School of Government `[2] `_. 3. Socioeconomic indicator: this data was collected via API protocol communication with the World Bank Open database `[3] `_. How to reproduce this work? --------------------------- You can run this project remotely via `google colab `_ or locally in your personal computer. If you chose to run it locally, just `download `_ and run the jupyter notebook in your machine. You may need to install some external dependencies (libraries) as requested.