Merge Covid-19 Data with Governmental Interventions Data

March 27, 2020 in R

Following up on prior posts I now document on how to obtain and merge data on government measures (like social distancing measures or lockdown rules) provided by the Assessment Capacities Project (ACAPS) with the Covid-19 data from the Johns Hopkins CSSE team. In the longer run, this merged data can be used to study the impact of interventions on the global spread of the virus.

Tidying the new Johns Hopkins Covid-19 time-series datasets

March 24, 2020 in R

This is a follow-up blog post to reflect that the Johns Hopkins CSSE team has just adjusted the time-series table structure in their github repository. Currently, they only seem to provide time series data on confirmed cases and deaths. The data of the old post is still available but won’t be updated.

Tidying the Johns Hopkins Covid-19 data

March 23, 2020 in R

This short blog post presents code to tidy the Covid-19 case data provided by the Johns Hopkins University at the country level. I wrote the code for an R Tutorial that I am currently drafting for locked down students. I thought that I share the code snippet in case somebody wants to work with country level Covid-19 data, in particular by merging it with additional sources.

Create a Notebook to Explore Country-Level CO2 Emissions With a Few Clicks

January 30, 2020 in R

Assume that you have some new data that you want to explore. The new CRAN version of the ‘ExPanDaR’ package helps by providing a (customized) R notebook containing all building blocks of an exploratory data analysis with a few clicks. Let me show you how to do this by taking a quick look at country-level CO2 emissions.

Explore Your Data with ExPanD

December 23, 2019 in R

Closing down for the year, I finally wrapped up a new ‘ExPanDaR’ version that now allows exploring all sorts of data interactively and generates notebooks containing the analysis on the fly. So here comes my little Christmas present for the wonderful RStats community!

Use ExPanD to Create a Notebook for Your EDA

September 1, 2019 in R

The new version of the ‘ExPanDaR’ package will include the option to export your explorative data analysis to an R Notebook. This Notebook can then be used to extend your analysis. Let me show you how to do this.

Customize Your Interactive EDA: Explore the Fuel Economy of the U.S. Car Market

April 16, 2019 in R

Interactive EDA is nice but customized interactive EDA is even nicer. To celebrate the new CRAN version of my ‘ExPanDaR’ package I prepare a customized variant of ‘ExPanD’ to explore the U.S. EPA data on fuel economy

Merge Covid-19 Data with Governmental Interventions Data

Tidying the new Johns Hopkins Covid-19 time-series datasets

Tidying the Johns Hopkins Covid-19 data

Create a Notebook to Explore Country-Level CO2 Emissions With a Few Clicks

Explore Your Data with ExPanD

Use ExPanD to Create a Notebook for Your EDA

Customize Your Interactive EDA: Explore the Fuel Economy of the U.S. Car Market

Joachim Gassen