Essential Visual Analysis Tool Features

11 Essential Features that Visual Analysis Tools Should Have

  1. Requires little (to no) coding
  2. Includes an expanded set of basic charts
  3. Charts are easy to customize
  4. Templates can be created
  5. Visual summaries are easy to generate (histograms, association matrix)
  6. Drill-down to source points: identify, isolate, and fix minor data errors
  7. In-place filtering
  8. Support for visual pivoting
  9. Support for analytics
  10. Tools for sharing, collaboration, and replication
  11. Big Data: Volume and Variety

If you are interested in visual analysis tool for R, you can check out R Studio or Rattle.

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