Speakers: Laura A. Higgins, JMP Global Technical Engineer
the speech topic : How to quickly explore anomalous data using the "Explore Mode" platform in JMP15
Summary of speech:
When engineers and analysts deal with practical problems, they often encounter a large amount of abnormal data "lurking" in huge data tables and cannot be easily detected, or they do not know how to deal with such tricky data. Such as data from suppliers, unsupervised data (such as clinical trial data), etc. Explore Pattern (Explore Pattern) is a new data processing platform in JMP15, which examines the integrity of the data by looking for abnormal patterns in the data. Examples include: repeated data, random numbers, linear relationships between columns, specification limit matching, and distributions. According to Laura, these abnormal data are often generated by the following four situations: copy and paste, application of random variables to generate data, use of formulas between columns to create linear relationships, alteration or truncation of data outside specification limits, and Around these four types of abnormal data, JMP demonstrates how to identify these abnormal data.
