Get Data Visualization Set PDF

By Nathan Yau

ISBN-10: 1118906705

ISBN-13: 9781118906705

Visualize This is a advisor on the best way to visualize and inform tales with information, delivering useful layout assistance complemented with step by step tutorials. It starts with an outline of the large development of knowledge and visualization in undefined, information, and gov't and possibilities in case you inform tales with facts. Logically it strikes directly to genuine tales in data-statistical ones with developments and human tales. the technical half comes up quick with the best way to assemble, parse and structure info with Python, R, Excel, Google medical doctors, and so forth and information instruments to imagine data-native pix for the net like ActionScript, Flash libraries, Hypertext Preprocessor, JavaScript, CSS, HTML. each bankruptcy presents an instance besides. styles over the years and types of knowledge charts are via proportions, chart varieties and examples. subsequent, examples and outlines of outliers and the way to teach them, other kinds of maps, the best way to consultant your readers and clarify the information "in the visualization". The booklet ends with a value-add appendix on graphical perception.

Data Points makes a speciality of the method of visualization and information. Visualization is a medium that may be used as a device, artwork, the way to inform tales, etc., Data issues guides readers via making info approachable via visualization innovations and top practices. the point of interest is on designing with a goal in brain. Data Points discusses why recipes (from the foundations) paintings and expands on how readers could make their very own recipes. The ebook is example-driven, that includes paintings from humans in parts of paintings, layout, enterprise, records, machine technological know-how, cartography, and on-line media, in addition to a few of the author's personal illustrations. the foremost sections of the publication cover:

  • Visualization as Medium -- within the similar method now not all videos are documentaries, no longer all visualization is set optimum visible perception.
  •  Data illustration -- There are principles throughout all visualization functions, reminiscent of using applicable shapes to adequately characterize values.
  • Design with goal -- ideas may be damaged although. all of it relies on who and what you are designing for.

Data Points digs deep into the principles of information visualization:

  • Understanding info and Visualization
  • Representing Data
  • Exploring information Visually
  • Designing for an Audience
  • Visualizing with Clarity
  • Putting every thing Into perform with instruments and Resources

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Example text

So it’s not just about the data that makes for interesting chatter. It’s how you present it and design it that can help people remember. When it’s all said and done, here’s what you need to know. Approach visualization as if you were telling a story. What kind of story are you trying to tell? Is it a report, or is it a novel? Do you want to convince people that action is necessary? Think character development. Every data point has a story behind it in the same way that every character in a book has a past, present, and future.

This includes great interviews with some of the best in the business. The base of the graphic is simply a line chart. However, design elements help tell the story better. Labeling and pointers provide context and help you see why the data is interesting; and line width and color direct your eyes to what’s important. Chart and graph design isn’t just about making statistical visualization but also explaining what the visualization shows. Art The New York Times is objective. It presents the data and gives you the facts.

Beginners often use radius or diameter instead, and the scale is totally off. Figure 1-15 shows a pair of circles that have been sized by area. This is the right way to do it. Figure 1-15 The right way to size bubbles D e sign Figure 1-16 shows a pair of circles sized by diameter. The first circle has twice the diameter as that of the second but is four times the area. It’s the same deal with rectangles, like in a treemap. You use the area of the rectangles to indicate values instead of the length or width.

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