computerworld-bi (english)

  1. RStudio cloud service in the works?

    An interesting result popped up when I searched for RStudio cloud this morning: from RStudio itself.

    "Kick the tires to your hearts delight - but don't plan on taking a cross-country trip just yet," the service warns on its home page.

    I logged in using my existing account, which the home page advises to do. If  you don't use, you can set up a new account there, or use Google or GitHub credentials. 

    The opening screen lets you create a project:

    RStudio.coud Screenshot at

    Page to create a project at

    To read this article in full, please click here

  2. CIO Leadership Live with Bernie Gracy, Chief Digital Officer of Agero | Ep 1

    In this lively hourlong discussion, Maryfran Johnson, executive director of CIO programs for CIO Events and the CIO Executive Council, talks with Bernie Gracy, Chief Digital Officer of Agero, the largest provider of roadside assistance services to car makers and insurance providers across North America. Johnson and Gracy talk about the sophisticated data analytics behind Agero’s services, the challenges he faces in digitizing the entire business and how the roles of CIOs and CDOs are changing and expanding in today’s digital business ecosystem.
  3. Create maps in R in 10 (fairly) easy steps

    Do you have some data with geolocation information that you want to map? You may not think of R when you're looking for a GIS platform, but new packages and standards have helped make the R programming language a surprisingly robust platform for some geospatial analysis.

    These examples will demonstrate how to map election results, but the concepts can easily be used for any other kind of color-coded choropleth map. I'll show how to handle a straightforward two-person race and a more complex race with three or more candidates.

    We'll be using two mapping packages in this tutorial: tmap and tmaptools for quick static maps and leaflet for interactive maps. You can install and load them now with

    To read this article in full, please click here

  4. Bonus downloads: How to make color-coded thematic maps in R

    Register for free with our Insider program and get some downloads to go along with our story, "Create maps in R in 10 (fairly) easy steps."

    To read this article in full, please click here

    (Insider Story)
  5. These R packages import sports, weather, stock data and more

    There are lots of good reasons you might want to analyze public data, from detecting salary trends in government data to uncovering insights about a potential investment (or your favorite sports team).

    But before you can run analyses and visualize trends, you need to have the data. The packages listed below make it easy to find economic, sports, weather, political and other publicly available data and import it directly into R -- in a format that's ready for you to work your analytics magic.

    Packages that are on CRAN can be installed on your system by using the R command install.packages("packageName") -- you only need to run this once. GitHub packages are best installed with the devtools package -- install that once with install.packages("devtools") and then use that to install packages from GitHub using the format devtools::install_github("repositoryName/packageName"). Once installed, you can load a package into your working session once each session using the format library("packageName").

    To read this article in full, please click here

Go to top