Hey there,
I am back from my ‘summer hibernation’ with a tutorial on the Geoserver REST API. This API is very useful if you want to upload large amounts of data into your geoserver at once. Of course you could use the Geoserver UI, but this allows you only to add
Hey everybody,
after a short summer break we are ready to emerge from several weeks in the doldrums 🙂
If you are working with large data sets stored in .csv format, the files are likely to comprise hundreds of MB or several GB of data.
Importing these csv files using the common read.csv or
Hey there,
welcome to part 4 of our short introduction to extreme value analysis using the extRemes package in R.
In the recent posts about the block maxima method and the threshold excess method, we have simply assumed that all assumptions for extreme value analysis are fulfilled. However, this is
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,
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 there,
today I’d like to introduce you to a great R package that focuses on interactive time series visualisation. The dygraphs package is an R interface to the Dygraphs Interactive Time Series Charting Library which is implemented in JavaScript. dygraphs provides really nice methods for plotting time-series data interactively
Hey!
It`s been a while, since my last post on data management with tidyr.
Today I would like to go one step further and finally introduce you to the dplyr package from RStudio.
This post is a summary of the webinar on Data wrangling with R and RStudio, so if you want
Hey!
Today I would like to introduce you to the leaflet package for R. This package makes it easy to integrate and control Leaflet maps in R. In other words: You can create beautiful Leaflet maps with your data from inside R, without any knowledge of JavaScript, HTML, CSS, etc… Sounds
Hey there,
welcome to part 3 of our short introduction to extreme value analysis using the extRemes package in R.
Having discussed the block maxima method the last time, we will now have a look at the threshold excess method.
According to Coles (2001), the threshold approach is more efficient than the
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