---
title: A Blog About Innovation Management, Data, and Creativity from Exaptive | Data Exploration
description: Data Exploration | At Exaptive, our mission is more data-driven aha moments, and we believe community, interoperability, and data make them happen.  Check out our blog for useful content about innovation management software, cross-disciplinary collaboration, and data science.
---

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# Blog

[![](https://exaptive.com/hubfs/austin-2.jpg)](https://exaptive.com/blog/ethical-data-standards-to-drive-society-forward)

## [Ethical Data Standards to Drive Society Forward](https://exaptive.com/blog/ethical-data-standards-to-drive-society-forward)

 Posted by [Austin Schwinn](https://exaptive.com/blog/author/austin-schwinn) on Feb 1, 2019 12:05:00 PM

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I am constantly amazed by the energy and momentum around data science. Only a few years ago, I would be met with a blank stare when I told someone I planned on going to grad school for machine learning. Today, there is no need for my “it's like computer science, linear algebra, and statistics had a combined love child” analogy as most people instantly respond with “Oh, like AI!”

[Read More »](https://exaptive.com/blog/ethical-data-standards-to-drive-society-forward)

[![](https://exaptive.com/hubfs/research.jpg)](https://exaptive.com/blog/modern-research-faster-is-different)

## [Modern Research: Faster Is Different](https://exaptive.com/blog/modern-research-faster-is-different)

 Posted by [Jill Macchiaverna](https://exaptive.com/blog/author/jill-macchiaverna) on May 4, 2018 3:57:23 PM

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Faster is different. It sounds strange at first because we expect faster to be *better*. We expect faster to be *more*. If we can analyze data faster, we can analyze more data. If we can network faster, we can network with more people. Faster *is* more, which *is* better, but more is different.

[Read More »](https://exaptive.com/blog/modern-research-faster-is-different)

[![](https://exaptive.com/hubfs/brain.jpg)](https://exaptive.com/blog/how-machine-learning-helps-humans-search-millions-of-documents-instantly)

## [Machine Learning Helps Humans Perform Text Analysis](https://exaptive.com/blog/how-machine-learning-helps-humans-search-millions-of-documents-instantly)

 Posted by [Josh Southerland](https://exaptive.com/blog/author/josh-southerland) on Apr 19, 2018 1:09:13 PM

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The rise of Big Data created the need for data applications to be able to consume data residing in disparate databases, of wildly differing schema. The traditional approach to performing analytics on this sort of data has been to warehouse it; to move all the data into one place under a common schema so it can be analyzed.

[Read More »](https://exaptive.com/blog/how-machine-learning-helps-humans-search-millions-of-documents-instantly)

[![](https://exaptive.com/hubfs/frank.jpg)](https://exaptive.com/blog/moving-beyond-data-visualization)

## [Moving Beyond Data Visualization to Data Applications](https://exaptive.com/blog/moving-beyond-data-visualization)

 Posted by [Jill Macchiaverna](https://exaptive.com/blog/author/jill-macchiaverna) on Jan 29, 2018 4:04:49 PM

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One thing we love doing at Exaptive – aside from [creating tools that facilitate innovation](https://exaptive.com/blog/weworkontechnologythenitworksonus) – is hiring intelligent, creative, and compassionate people to fill our ranks. [Frank Evans](https://www.exaptive.com/blog/author/frank-d-evans) is one of our data scientists. He was invited to present at the TEDxOU event on January 26, 2018.

[Read More »](https://exaptive.com/blog/moving-beyond-data-visualization)

[![](https://exaptive.com/hubfs/buttons.jpg)](https://exaptive.com/blog/exploring-tech-stocks-a-data-application-versus-data-visualization)

## [Exploring Tech Stocks: A Data Application Versus Data Visualization](https://exaptive.com/blog/exploring-tech-stocks-a-data-application-versus-data-visualization)

 Posted by [Matthew Schroyer](https://exaptive.com/blog/author/matthew-schroyer) on Dec 1, 2017 10:06:42 AM

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A crucial aspect that sets a [data application](https://exaptive.com/blog/what-is-a-data-application) apart from an ordinary visualization is interactivity. In an application, visualizations can interact with each other. For example, clicking on a point in a scatterplot may send corresponding data to a table. In an application, visualizations are also enhanced with simple filtering tools, e.g. selections in a list can update results shown a heat map. 

[Read More »](https://exaptive.com/blog/exploring-tech-stocks-a-data-application-versus-data-visualization)

[![](https://exaptive.com/hubfs/parallel_coor_mtcars_cyl.png)](https://exaptive.com/blog/a-data-exploration-journey-with-cars-and-parallel-coordinates)

## [A Data Exploration Journey with Cars and Parallel Coordinates](https://exaptive.com/blog/a-data-exploration-journey-with-cars-and-parallel-coordinates)

 Posted by [Matthew Schroyer](https://exaptive.com/blog/author/matthew-schroyer) on Sep 11, 2017 3:56:26 PM

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[Parallel coordinates](http://www.datavizcatalogue.com/methods/parallel_coordinates.html) is one way to visually compare many variables at once and to see the correlations between them. Each variable is given a vertical axis, and the axes are placed parallel to each other. A line representing a particular sample is drawn between the axes, indicating how the sample compares across the variables.

[Read More »](https://exaptive.com/blog/a-data-exploration-journey-with-cars-and-parallel-coordinates)

[![](https://exaptive.com/hubfs/nodes.jpg)](https://exaptive.com/blog/build-a-network-diagram-data-app-to-uncover-relationships-in-your-data)

## [Use a Network Diagram to Uncover Relationships in Your Data](https://exaptive.com/blog/build-a-network-diagram-data-app-to-uncover-relationships-in-your-data)

 Posted by [Matthew Schroyer](https://exaptive.com/blog/author/matthew-schroyer) on Jul 13, 2017 1:10:06 PM

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Often times, when we're looking at a mass of data, we're trying to get a sense for relationships within that data. Who is the leader in this social group? What is a common thread between different groups of people? Such relationships can be represented hundreds of ways graphically, but few are as powerful as the classic network diagram.

[Read More »](https://exaptive.com/blog/build-a-network-diagram-data-app-to-uncover-relationships-in-your-data)

[1](https://exaptive.com/blog/topic/data-exploration/page/1)

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