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env872-project_xy_feng's Introduction

Analysis of Pattern and Trends on COVID-19 (Novel Coronavirus)

Summary

This repository was prepared for the final project of Env 872L course, Environmental Data Analytics at Duke Univeristy, Spring 2020.

  • I will use covid-19 data to do analysis on global level, especailly China and the United States.
  • I will do the trend anlysis and mapp covid-19 data.

Investigators

Xueying Feng, Duke University, [email protected].

Keywords

COVID-19, Trend anlysis, Geospatial analysis

Database Information

I access all Novel Coronavirus data from the R package, nCov2019, which includes detailed real-time statistics, historical data in all countries, and down to the city-level.

Tianzhi Wu, Erqiang Hu, Xijin Ge, Guangchuang Yu*. Open-source analytics tools for studying the COVID-19 coronavirus outbreak. medRxiv, 2020.02.25.20027433. doi: https://doi.org/10.1101/2020.02.25.20027433*

Folder structure, file formats, and naming conventions

Folders contained in the repository:

  • Code (RMD file)

  • Data (csv file)

  • Output (pdf file)

  • All scripts are saved as .rmd format.

  • All scripts will be knitted and saved as a PDF when they are done.

  • Both processed and raw data are saved as csv files.

  • All outputs are saved as PDF files

Metadata

Covid19_Global

Column name Description
name Country name
confirm Number of COVID-19 confirmed cases
dead Number of COVID-19 death cases
deadRate Total death number/ Cumulative total number of COVID-19 cases(%)
heal number of COVID-19 heal cases
healRate Total heal number/ Cumulative total number of COVID-19 cases(%)

Covid19_China

Column name Description
name Province name
confirm Number of COVID-19 confirmed cases
dead Number of COVID-19 death cases
deadRate Total death number/ Cumulative total number of COVID-19 cases(%)
heal number of COVID-19 heal cases
healRate Total heal number/ Cumulative total number of COVID-19 cases(%)

Covid19_US

Column name Description
time Date
country United States
province States name
cum_confirm Cumulative number of COVID-19 confirmed cases
cum_heal Cumulative number of COVID-19 heal cases
cum_dead Cumulative number of COVID-19 death cases

historical_China

Column name Description
time Date
country Country name
province Province name
city City name
cum_confirm Cumulative number of COVID-19 confirmed cases
cum_heal Cumulative number of COVID-19 heal cases
cum_dead Cumulative number of COVID-19 death cases

historical_Global

Column name Description
time Date
country Country name
cum_confirm Cumulative number of COVID-19 confirmed cases
cum_heal Cumulative number of COVID-19 heal cases
cum_dead Cumulative number of COVID-19 death cases

Scripts and code

In code folder:

  • Data Processing - Script for downloading data from R package and save as raw data
  • Data wrangling - Script for importing raw dataset and making data neat for analysis and save as processed data.
  • Data exploration - Script for exploring data, such time series, mapping of global data, ect.
  • Data analysis - Script for all analysis.

env872-project_xy_feng's People

Contributors

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Watchers

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