JMP Takes the Struggle Out of Data Wrangling is a new white paper we've just released with Dr. Robert Carver. The paper provides an in-depth look at the unglamorous, time-consuming, and sometimes dreaded “dirty work” of statistical investigations – data preparation.
The paper highlights how easily JMP performs "data wrangling" operations, including detailed discussions around the following topics:
- Essential database operations.
- Detecting and addressing common data hygiene problems
- Messy data: Incorrect modeling types, inaccurate or obsolete data.
- Outliers and other dubious observations.
- Missing observations.
- Suspicious patterns.
- Issues driven by the analytic approach.
- Data requirements for different platforms.
- Reshaping a data table.
- Feature engineering: Transformations and data reduction.
- Special consideration for time and date data.
- Some concluding thoughts from Dr. Carver.
The paper is now available as an ungated resource, ready for immediate download.
Encourage your customers to download the paper today.
If you have any questions, give me a shout.
Thanks
Larry
x11276
