Geographic Information Systems or GIS are specialized technology used for spatial data that require mapping. In our November meetup, R-Ladies Philly member and GIS Specialist Mary Lennon introduced R-Ladies Philly to manipulating and plotting spatial data from our favorite city (Philly!) in our favorite language (R!)!
How can we access and store spatial data? First, Mary explained that GIS data can be stored in different formats including Shapefiles, GPX, and GeoJSON.
Shiny is an R Package that combines the computational power of R with the interactivity of the web to enable users to create interactive web apps (and dashboards!) in R. For our October meetup, Dr. Mine Çetinkaya-Rundel led a workshop introducing the basics of building dashboards using Shiny, and a demo on transitioning from dashboards to standalone apps. In case you missed the Meetup, all materials (code! slides! more!) can be found on the github repo Mine created.
In our September meetup hosted at the Penn Dental School, R-Ladies LA founder and recent Philadelphia transplant Dr. Katie Scranton led an interactive workshop on making websites (like this one!) using R and the blogdown package.
Overview Katie started off by providing a broad overview of how blogdown works. Blogdown generates websites using Rmarkdown documents, and each blogdown website consists of a single folder of static files. Once created, your blogdown website can then be hosted on any web server to make it ‘live.
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.
Why do a new member survey? One of the goals of R-Ladies Philly is for the group to be focused on the needs and interests of its members. With this goal in mind, we created a survey to query members about meeting logistics and R experience level. This survey also provided a mechanism to collect emails in order to invite new members to our Slack channel.
If you want to join us and fill out the survey, you can find it here: http://bit.
Hello and thank you for visiting our brand-new R-Ladies Philly blog! For our first post, we are introducing the founding principles of our chapter and our goals moving forward. With that in mind, if you R ready, here we go!
As you may already know, R-Ladies Philly is a chapter of the broader R-Ladies global organization. R-Ladies global seeks to promote gender diversity in the coding community by providing a collaborative network of R learners, mentors, and leaders.