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Analyzing Data with Advanced Visualizations

Discover the significance of data visualization in transforming unstructured data into actionable insights. This guide explores essential visualizations including line graphs, scatterplots, bar charts, and more. Learn how to choose the right tools, manage data accessibility, and align visualizations with user needs. Understand the importance of identifying the correct information to visualize and how to effectively analyze relationships among data points. Enhance your data storytelling with practical demos and feedback loops for continuous improvement.

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Analyzing Data with Advanced Visualizations

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  1. Analyzing Data with Advanced Visualizations rajesh.ramaswamy@marlabs.com

  2. A picture speaks a thousand words!

  3. Why is visualization so important? - A quick demo

  4. It is equally important to do the correct visualization

  5. Visualizing Unstructured Data

  6. Visualizing Analytics

  7. Other non-standard visualizations

  8. What is the moral of the story?

  9. Identify the information that you want to visualize • Where is it? • How is it accessible? • How big is it? • How many perspectives does it have • Who will use it?

  10. Decide on how best to visualize the data • Track rises and falls over time • Line graph • Stack graph • Categories Stack graph • See relationships among data points • Scatterplot • Matrix chart • Network Diagram • Compare a set of values • Bar chart • Block histogram • Bubble chart • See parts of a whole • Pie Chart • Tree Map • Analyze a text • Word tree • Wordle • See the world • Mapping

  11. Chose the tool that allows helps you visualize the information • BI tools (commercial or open source) • In memory analytics • Specialized visualization tools • Build a framework that allows you to integrate the visualization with the sources of data • Build and distribute the visualization • Get feedback and improve

  12. Thank You

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