computerworld-bi (english)

  1. 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").

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  2. Great R packages for data import, wrangling and visualization

    One of the great things about R is the thousands of packages users have written to solve specific problems in various disciplines -- analyzing everything from weather or financial data to the human genome -- not to mention analyzing computer security-breach data.

    Some tasks are common to almost all users, though, regardless of subject area: data import, data wrangling and data visualization. The table below show my favorite go-to packages for one of these three tasks (plus a few miscellaneous ones tossed in). The package names in the table are clickable if you want more information. To find out more about a package once you've installed it, type help(package = "packagename") in your R console (of course substituting the actual package name ).

    To read this article in full, please click here

  3. Useful R functions you might not know

    Almost every R user knows about popular packages like dplyr and ggplot2. But with 10,000+ packages on CRAN and yet more on GitHub, it's not always easy to unearth libraries with great R functions. One of the best way to find cool, new-to-you R code is to see what other useRs have discovered. So, I'm sharing a few of my discoveries -- and hope you'll share some of yours in return (contact info below).

    Choose a ColorBrewer palette from an interactive app. Need a color scheme for a map or app? ColorBrewer is well known as a source for pre-configured palettes, and the RColorBrewer package imports those into R. But it's not always easy to remember what's available. The tmaptools package's palette_explorer creates an interactive application that shows you the possibilities.

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  4. 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

  5. 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.
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