What data science software tools do you use?

May 11, 2015

(This article was first published on Revolutions, and kindly contributed to R-bloggers)

KDnuggets is once again running its annual poll of data science software tools, now in its 16th year. If you'd like to participate, visit the KDnuggets poll page and answer the question, "What Predictive Analytics, Data Mining, Data Science software/tools you used in the past 12 months?". The poll allows you to select up to 20 tools from the following categories:

  1. Analytics / Data Mining Platforms / Suites
  2. Languages / low-level tools (including R)
  3. Deep Learning tools, and
  4. Hadoop-based Analytics-related tools

It's not clear when the deadline to enter is, but most KDnuggets polls run for 2-3 weeks with the results published soon thereafter. In last year's poll, RapidMiner was the most commonly-selected tool, followed closely by R. (This poll is not to be confused with the similar KDnuggets annual poll limited to languages only, "What programming/statistics languages you used for an analytics / data mining / data science work?" where R has garnered the top ranking for the last four years running.)

To vote in the poll, follow the link below. Note that you will need to provide a valid email address to confirm your vote (and prevent ballot-stuffing).

KDnuggets: What Predictive Analytics, Data Mining, Data Science software/tools you used in the past 12 months?


To leave a comment for the author, please follow the link and comment on their blog: Revolutions.

R-bloggers.com offers daily e-mail updates about R news and tutorials on topics such as: Data science, Big Data, R jobs, visualization (ggplot2, Boxplots, maps, animation), programming (RStudio, Sweave, LaTeX, SQL, Eclipse, git, hadoop, Web Scraping) statistics (regression, PCA, time series, trading) and more...

If you got this far, why not subscribe for updates from the site? Choose your flavor: e-mail, twitter, RSS, or facebook...

Comments are closed.

Search R-bloggers


Never miss an update!
Subscribe to R-bloggers to receive
e-mails with the latest R posts.
(You will not see this message again.)

Click here to close (This popup will not appear again)