Jun 20, 2016
Created by libjohn
seen from Brazil
seen from China
seen from Egypt
seen from United States
seen from Türkiye
seen from Israel
seen from Spain
seen from Norway
seen from Australia
seen from United States
seen from Netherlands
seen from Spain
seen from United Kingdom
seen from Norway
seen from Italy
seen from Spain
seen from Brazil
seen from United Kingdom
seen from United Kingdom
seen from Malaysia
Created by libjohn
Workshops by Duration
Registrations by Workshops Sessions Offered
Registratant's Academic Status by Academic Year
Total Workshop Sessions offered by Academic Year
Unique Workshops offered by Academic Year
I recently had a chance to play with Exploratory.io. The tool/website/desktop application bills itself as “an interactive and reproducible real data wrangling and analysis experience powered by R and visualization”.
Upon download what you find is a very nice drag-and-drop interface combined with a cloud-based sharing platform. The tool masks a lot of the R command-line complexity and simplifies the wrangling processes when using dplyr and ggplot. In essence it masks the complexity inherent to the popular R data tool, along with the dplyr, and ggplot2 packages. (I think there are a few additional packages also loaded) And it does this without removing the command-line; so, tweaking is still possible.
Of course with simplification comes a loss of customization. I think it’s a fair trade-off. It is perhaps short of being a total and unbridled power tool but delivers a quicker start with a more consumable learning curve by putting many of the necessary data munging commands at your fingertips and thereby relieving you of the need to memorize the arcania of [R] commands and switches.
For the non data-scientist (and perhaps also for a data scientist) this provides a welcome simplification on the way to simple analysis.
Recommended.