Data Cleaning was voted as the #1 pain in the data analysis process. Cleaning and organizing data is the least enjoyable part of data scientists and engineers.

JMP makes data cleaning a breeze and you can bid farewell to that mundane routine process by automating the process using JMP.

JMP is an all-in-one, self-service platform that offers a vast menu of easy-to-use analytical capabilities that can be assembled to create an end-to-end analytic workflow.

This on-demand video walks you through one of the most important but time-consuming analytics processes by automating data cleaning:

  • Common Data Cleaning Problem
  • Multiple Columns Name Cleanup
  • Multiple Rows Removal
  • Duplicated Rows Handling
  • Typing Errors Treatment
  • Missing Value Treatment
  • Outliers Treatment
  • Imbalanced Data Treatment
  • Common Data Transformation Method
  • Formula for Text Data Extraction
  • Formula Creation Short-cut
  • Useful Data Aggregation Method
  • Additional: Datetime Data Cleaning
  • Automating Data-cleaning and Graph Building Processes as Displayed

Fill in your details to watch this on-demand webinar to ease your pain and learn how you can leverage JMP in your daily work.
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