What Is JMP Used For?

Data Cleanup

1

Screen data for missing values, outliers, entry errors, and other disparities that settle your analysis.

Data Acquisition

2

Explore data efficiently in several forms – import Excel files, read text files, and extract data from ODBC-compliant databases.

Text Exploration

3

Remove phrases and words or visualize and arrange words to reveal underlying information in your text.

Data Visualization

4

Explore and graph data dynamically, producing visualizations that explain your data story.

Layout of Experiments

5

Create your analysis based on the query, considering budget, timing, and other restrictions.