2014
Pluralsight
Dan Appleman
1h 55m
English

At some point in your software development career, you may be called upon to produce a graph or a chart. Delivering on even a simple request can be remarkably complex. How much data is there and where does it live? What kind of chart should you use? Should the chart be rendered on a server or on the client? What kind of clients should you support, and what are the consequences of that choice? This course introduces every aspect of visualization, from story, to numbers, to architecture, to code.

01. Introduction
01. Introduction.mp4
02. One Dataset - Two Stories.mp4
03. Data Scientists, Graphic Designers, and You.mp4
02. Charting - 1A
01. Introduction.mp4
02. Just Enough Math.mp4
03. Telling Stories with Statistics.mp4
04. The Four Rules of Visualization. Rule 1 - Start with the Story.mp4
05. Rule 2 - Make the Contrast Address the Story.mp4
06. Rule 3 - Don't Forget the Data.mp4
07. Rule 4 - Don't Make People Think.mp4
08. Selecting a Chart Type.mp4
09. Fun with Chart Libraries.mp4
10. More Fun with Chart Libraries.mp4
03. Business Intelligence
01. Two Questions and a Myth.mp4
02. Correlation, Causation, Interpolation, and Extrapolation.mp4
03. Neatness Counts.mp4
04. Visualization Architecture
01. Visualization in the Age of Big Data.mp4
02. The Architecture Game - Setting the Stage.mp4
03. The Architecture Game Part 1 - Data and Analytics.mp4
04. The Architecture Game Part 2 - Rendering and Display.mp4
05. Variations on a Theme.mp4
05. Hands-On Visualization
01. Choosing the Perfect Story and Demo Environment.mp4
02. Setting Up Your Demo Environment (Don't Worry, It's Painless).mp4
03. Looking at the Data.mp4
04. Remote Database. Local Analytics and Rendering.mp4
05. Remote Database. Analytics and Rendering.mp4
06. Retrieving and Interpreting Analytics Data.mp4
07. Remote Database. Analytics and Local Rendering.mp4
08. Remote Database. Local Rendering and Analytics on Both.mp4
09. Conclusion.mp4

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Download File Size:509.79 MB

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