Welcome to Data Desk RP
Wrestling with R and Python Coding?
Relax. Data Desk will help you-
Introducing Data Desk with the R & Python Export Function
Make plots and perform sophisticated analyses with Data Desk’s graphical interface, then just click to export the R or Python code that reproduces what you’ve done.
Data Desk cleans your data to R’s standards (no choking on stray characters).
Comments you make in your Data Desk windows appear as comments in your code.
In short, Data Desk does the work for you. You just point, click, and drag.
Hard to believe you can code without even touching a keyboard? Watch the video.
You can even paste the code for a plot or analysis into an existing R or Python program.
Students can get started using R or Python more quickly and with less pain.
Instructors can spend less time teaching coding.
Everyone can spend less time debugging.
Difficulty with Scripting Languages?
Any plot or analysis table in Data Desk now writes out the R or Python commands to reproduce it.
Explore your data flexibly and rapidly in Data Desk, then open the Export Manager and drag in the analysis. Data Desk will include the variables you used and write a program to record your analysis.
Or you can just grab an “snippet” from the Hyperview menu to document that particular plot or table. Paste your snippet into an R or Python interpreter.
Data Desk RP levels the scripting learning curve.
-Use R and Python with a simple graphical interface.
-Don’t even touch your keyboard for most basic statistics graphs and functions.
-Expect idiomatic, clear code
You can determine your own analyses easily and then see how to do the same thing in your scripting language of choice. Then you can modify the code further, with a great launching-off point.
DDRP allows you to use R and Python with a simple graphical interface. Don’t even touch your keyboard for most basic statistics graphs and functions.
R Users:
Want to learn Python? Data desk writes both R and Python so you can see the R and Python code side-by-side.
There is no need to post code for your students to copy and paste. When they do that, they don’t learn as much and they don’t think about their analyses. Now students can do their own analyses in Data desk and transparently transfer them into code. You can assign analyses and suggest modifications and options they can try with the resulting code. If your students have started with another statistics program, this will ease their transition to scripting languages.
Explore, plot, and analyze your data with Data desk’s dynamic graphics and fast computing. Then record the part of your analysis that you want to document, save, or communicate to others as a program.
Clean and convert your data more easily. Data desk accepts any variable names and any data contents and will clean your data to R standards when it exports the data. Missing values become “NA”, “illegal” characters in variable names and data are replaced, even duplicate variable names are OK in Data desk and will be modified when sent to R.