<p>This will a beginner friendly session where we will learn how to access and transform data. Even if you've never used R before, you'll be able to take part and do some coding.</p> <p>We'll be working through Chapter 5 of the R for Data Science book. This is available freely online at <a href="http://r4ds.had.co.nz" class="linkified">http://r4ds.had.co.nz</a> . There will be a short presentation and then we'll work through some exercises together.</p> <p>If you're already familiar and comfortable with manipulating data in R, please still come along. It would be great to have some extra helpers, and we can also work through the latest TidyTuesday data set as a challenge.</p> <p>This will be an interactive session so please bring your laptop. Ideally this should have R and Rstudio installed. If you have trouble downloading these. You can use <a href="https://rstudio.cloud/" class="linkified">https://rstudio.cloud/</a>. You will also need to tidyverse R package. You might want to install this before coming along to the session. You can do this by running install.packages("tidyverse") in R.</p> <p>The session will run from 6pm - 8pm with a short break in the middle. Snacks and soft drinks will be provided. Please bring a reusable cup if possible!</p> <p>---</p> <p>Venue:</p> <p>We're meeting in Room A076 of the Science &amp; Technology building. This might be tricky to find, but there will be plenty of signs up. You can download a campus map:</p> <p><a href="https://github.com/rladies/meetup-presentations_lancaster/blob/master/admin/campus-map.pdf" class="linkified">https://github.com/rladies/meetup-presentations_lancaster/blob/master/admin/campus-map.pdf</a></p> <p>The star represents the room we will be in, and I have highlighted the main entrances to the building. Note that building is locked after 6pm. We will be around the main entrances from 6:00pm - 6:20pm to greet you and let you in, so please try to arrive promptly! If you are running late, please ring me [masked]) and we'll come and let you in.<br/>If you need more or advice help finding the location, please get in touch.</p> <p>Parking:</p> <p>Parking is free on the University campus after 6pm. The closest place to park is Fylde Avenue or George Fox Avenue.</p> <p>There are also very frequent buses to the University and an excellent cycle route.</p> <p>---</p> <p>R-Ladies Lancaster is part of a global initiative, R-Ladies Global, designed to improve the gender diversity of R users worldwide and in particular, to improve the participation and experience of women in the R community. As part of the initiative, R-Ladies Lancaster will host a number of talks and workshops about the use of R. It doesn't matter if you never used R or if you are an R expert, R-Ladies Lancaster welcomes anyone with an interest in R.</p> <p>Questions? E-mail: [masked]</p>