Data cleaning is the process of preparing your data for analysis; ensuring that it is technically correct and in the desired format. Data cleaning can often be more time-consuming than the actual analysis! This was our second meetup on the topic. Click here for a recap of our first data cleaning meetup in June.
Reshaping data We began with an introduction to reshaping data from Alice. The presentation was based on the DataCamp tutorial Long to Wide Data in R.
Our June meetup Our June meetup was about cleaning data using R. Data cleaning is the process of preparing your data for analysis; ensuring that it is technically correct and in the desired format. Data cleaning can often be more time-consuming than the actual analysis!
We were live tweeting the event! Check out some tweets below.
Introduction Darina and Katerina provided an introduction to data cleaning, with a focus on the process of ensuring the data is technically correct.
Our May Event! The May R-Ladies meetup took place on May 16, 2018 at Drexel’s LeBow School of Business. Thanks for hosting us again, Drexel, and thanks to our sponsors Datacamp and the R consortium!
Our topic for May was version control using the popular resources Git and GitHub, and we focused on integrating version control with R.
Intro Darina and I started with an example to illustrate the utility of version control in collaborating on a document or project over time.
Our April Event! The April R-Ladies meetup was held on April 19th at Drexel. Thanks again to Drexel for hosting us and to DataCamp and the R consortium for sponsoring us!
Our topic was an introduction to text mining in R using the first two chapters of “Text Mining with R” by fellow R-Lady(!) Julia Silge and David Robinson.
There was a great group - including some new faces!
Amy took us through the key concepts of the chapter and then we broke into groups to do some exercises together.