Addressing the Challenges of Data Variety
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 webinar explains how JMP can address these challenges.