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Pages 16-31

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From page 16...
... 16 Consider each step in the process of developing an effective visualization in order to imbue the finished product with focus and meaning. First, you must acquire and refine a dataset – a process called "data wrangling" in the visualization community – analyze the data, and identify patterns and findings that you can call out visually.
From page 17...
... 17 example, West Virginia DOT visualized four alternatives for replacing the Dick Henderson Memorial Bridge, as shown in Figure 6. Figure 6: Build Alternatives Comparison for the Dick Henderson Bridge (WVDOT)
From page 18...
... 18 well as the results of an annual inspection and condition assessment. The data can be downloaded at https://www.fhwa.dot.gov/bridge/nbi/ascii.cfm.
From page 19...
... 19  Data Wrangling Tools: 14:40 – Barry and Card used node.js (a JavaScript library) for processing their files in the JSON format.
From page 20...
... 20 After these refinements, the table appears as shown in Figure 10. Figure 10: Intermediate Formatted Table, "visualizing opportunity" (Cole Nussbaumer-Knaflic)
From page 21...
... 21 3.3 · Analysis Are you and your data telling the same story? Your analytical and aesthetic decisions should reflect the nature of your dataset.
From page 22...
... 22 Once again applying the principle to transportation, a map of mode choice across a region may show lower-income areas commuting by transit more often than by single-occupancy vehicle, except in areas nearby to centers of service and manufacturing employment (which have shifts outside of transit operating hours)
From page 23...
... 23 Using Visualization to Drive Analysis Beyond the need to perform analysis to drive your visualization, it is important to recognize your visualization's potential for informing and facilitating analysis done by others. For example, the Delaware Valley Regional Planning Commission (DVRPC)
From page 24...
... 24 3.4 · Choosing a Strategy Bringing your story to life on the page Your strategy for visualizing your data represents not only the chart type or types that you include, but also how you customize your charts and illustrations to reflect your intent, your audience, and the elements of your data. Overall, your tasks when choosing a strategy include:  Selecting a chart type or types;  Selecting a medium;  Differentiating your data points; and  Ensuring that your visualization is useful, clear, and memorable for your audience.
From page 25...
... 25 Recognizing that orientation is fundamentally an element of shape, and accounting for the possibility of data points appearing or disappearing in an animation or a series of images, you can change five things about the appearance of your data points: 1. Position – You can change where a data point is located on the page on three axes; 2.
From page 26...
... 26 Figure 18: Excerpt from the Florida Transportation Plan (Florida DOT) http://floridatransportationplan.com/)
From page 27...
... 27 from there the travel time)
From page 28...
... 28  Support: Esri provides online documentation and self-service and paid support | Esri Developers Network | Esri-related conferences and user groups | Extensive community of users | Books | Commercial support.  Publishing online: Via Esri cloud (requires service credits)
From page 29...
... 29  Cost (as of April 30, 2016) : $999 (personal desktop)
From page 30...
... 30 Data Wrangling Trifacta enables analysts of all skill levels to work with and manipulate complex data. As much as 80 percent of effort in a visualization project can be absorbed by cleaning and formatting your data, and Trifacta automates parts of that task.
From page 31...
... 31 3.6 · Putting It All Together One practitioner's example Members of our team worked with the New Hampshire DOT to develop a Sankey Diagram for the department's Transportation Asset Management Plan. The chart shows the flow of funds from revenue sources on the left – through funds and programs in the center – to uses on the right, all proportionally-sized and colored by revenue source.

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