Per a suggestion, I’m going to try to find a neat data set (prbly one from @jsvine) to feature each week and toss up some sample code (99% of the time prbly in R) and offer up a vis challenge. Just reply in the comments with a link to a gist/repo/rpub/blog/etc (or post directly, though
Wes McKinney, Software Engineer, Cloudera Hadley Wickham, Chief Scientist, RStudio This past January, we (Hadley and Wes) met and discussed some of the systems challenges facing the Python and R open source communities. In particular, we wanted to see if there were some opportunities to collaborate on tools for improving interoperability between Python, R, and
Organize your data manipulation tasks in a standard way, write clean and efficient code, and build reproducible data management processes, using the most modern R tools: tidyr, dplyr and lubridate.
The post "Efficient Data Manipulation with R" Course | April 11-12 Milan appeared first on MilanoR.
The ggseas package for R, which provides convenient treatment of seasonal time series in the ggplot2 universe, was first released by me in February 2016 and since then has been enhanced several ways. The latest version, 0.4.0, is now on CRAN.
The improvements since I last blogged about ggseas include:
added the convenience function tsdf() to convert a...
Gathering data from the web is one of the key tasks in order to generate easy data-driven insights into various topics.
Thanks to the fantastic Rvest R package web scraping is pretty straight forward.
It basically works like this; go to a website, find the right items using the selector gadget and plug the element path into your R-code.
In the exercises below we practice how to personalize graphics parameters, how to produce different plots at the same time and how to save a plot in a file. We will use commands such as par and jpeg. We will use the mtcars dataset, provided by R Cran (we can upload the dataset by typing
I’m pleased to announce tibble, a new package for manipulating and printing data frames in R. Tibbles are a modern reimagining of the data.frame, keeping what time has proven to be effective, and throwing out what is not. The name comes from dplyr: originally you created these objects with tbl_df(), which was most easily pronounced
by Joseph Rickert Last year, I wrote the New York R Conference “set the bar pretty darn high for a first time conference”. Not only was there an outstanding lineup of speakers, but the energy and enthusiasm that conference attendees brought with them, or maybe just generated on the spot, was remarkable. This year I am definitely looking forward...
This is a brief update on my packages not currently on CRAN: tfsR, HIBPwned, and mockaRoo. tfsR tfsR is designed to help you work git repositories in Microsoft Team Foundation Server (TFS) and Visual Studio Team Services (VSTS). I wrote the package a while ago and it has/had just two functions; one for getting a