Data comes from a rich variety of sources in a rich variety of types, shapes, sizes, and properties. The analysis can be challenged by data that is too tall, too wide, too full of miscodings, outliers, or holes, or funny data types. Wide data, in particular, has many challenges, requiring the analysis to adapt with different methods. Making covariance matrices with 2.5 billion elements is just not practical. This webcasts explains how JMP can address these challenges.
Exploring Data. Inspiring Innovation.
Addressing the Challenges of Data Variety
JMP creator John Sall and Director of Statistical R&D Chris Gotwalt provide an overview of JMP 12 and JMP Pro 12 in this presentation recorded at Discovery Summit Europe in Brussels.