Hello there!
Welcome to the first part of my series on data management with R. Today I am going to introduce the {tidyr} package that is used to prepare and clean data before further transformation steps are applied. Its main purpose is to make the underlying information more accessible and easier
Hey folks,
I was recently asked how to visualize flight connections with R, so I decided to make a blog post with a short tutorial on this topic: The aim is to map all possible flight connections from the NYC JFK Airport to other major airports in the US. For this
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This week I am taking over the Links of the Week, because Simon quite busy with a seminar he is attending. Let’s start! Here are some interesting links and webpages related to GIS I stumbled upon in the last couple of days:
Hey folks,
in the upcoming weeks I would like to talk about data management in R. I will show you how to tidy, transform and visualise your data using three popular and powerful data management packages: tidyr, dplyr and ggvis. This is what you can expect in the next weeks:
In
Hey!
Next Wednesday (April 15th 2015 – 11:00 AM EST) there will be a free Webinar from the RStudio-Team on “Dynamic Dashboards with Shiny”. This webinar will be held by Winston Chang. He is a developer for the ggplot2 and devtools packages and also the author of the famous R Graphics
Hey there,
in this article I will show you how to download, manage and visualize twitter data. I will supply you with all the code necessary to connect to the twitter API, download and plot user defined keywords in space.
Let’s start! So how do we get the Twitter data? Twitter allows
Hey there!
In my last post I’ve been talking about the webinar on Creating JavaScript data visualizations in R by the R Studio Team. Today I would like you to show what was covered during this webinar and what I’ve learned. If you missed the session you can watch