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Datameer Blog

Favorite Feature Friday: Using the New “Flip Side” for Instant Visual Insights

By on April 24, 2014

As a data visualization engineer at Datameer, it’s probably no surprise my favorite feature is the new “flip side” in Datameer 4.0. You can think of this new view of your data as an exploration tool that takes the information you’ve assembled in our traditional spreadsheet-like interface and very quickly provides some simple but informational visualizations for it.

This is is a very easy-to-use feature that I believe is invaluable for business analysts. Now you don’t have to wait until the final visualization to get a visual validation of your analysis. With the new “flip side,” you would instantly see a visual profile of your data by each row, including the data type, count, max, min, uniqueness, mean and average, serving as a visual checkpoint at any point of ingest, join or transformation. For example, if you’re working with 50,000 rows of data, you might not catch until the final visualization that 4 of those records included a gender of “Mal” instead of M, or F.  With the “flip side” view, you’d see right away that your unique value count for your gender column was “3” instead of “2”, allowing you to correct the issue before you proceeded any further.

So what’s this actually look like? Below is the traditional spreadsheet view. All you have to do now is click on the “flip side” icon in the bookmark toolbar:

The great thing with the “flip side” feature, is that you have the ability to visually see your data in a number of different contexts. Clustering automatically finds non-obvious groups within your data by automating the process of identifying and measuring common attributes within the dataset:

Clustering

Datameer’s column dependency algorithm automatically compares every possible data attribute combination and visually ranks the strengths of those relationships:

Column Dependencies

One of the most insightful visuals is the Decision Tree, which helps you understand the different combinations of data attributes that result in a desired outcome. This is especially helpful in determining customer churn, for example:

Decision Tree

Check out my full tutorial to find out more, and don’t forget to download a free trial of Datameer 4.0 to try it out yourself.

 


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Dan Cheng

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