By Nathan Yau
Visualize This is a consultant on tips on how to visualize and inform tales with information, offering functional layout suggestions complemented with step by step tutorials. It starts off with an outline of the massive development of knowledge and visualization in undefined, information, and gov't and possibilities should you inform tales with info. Logically it strikes directly to genuine tales in data-statistical ones with tendencies and human tales. the technical half comes up quick with how you can assemble, parse and structure information with Python, R, Excel, Google medical doctors, and so forth and information instruments to imagine data-native pics for the net like ActionScript, Flash libraries, personal home page, JavaScript, CSS, HTML. each bankruptcy offers an instance to boot. styles through the years and types of information charts are via proportions, chart varieties and examples. subsequent, examples and outlines of outliers and the way to teach them, other kinds of maps, easy methods to advisor your readers and clarify the knowledge "in the visualization". The ebook ends with a value-add appendix on graphical perception.
Data Points specializes in the method of visualization and knowledge. Visualization is a medium that may be used as a device, artwork, the way to inform tales, etc., Data Points publications readers via making info approachable via visualization thoughts and top practices. the focal point is on designing with a objective in brain. Data Points discusses why recipes (from the principles) paintings and expands on how readers could make their very own recipes. The ebook is example-driven, that includes paintings from humans in components of artwork, layout, enterprise, data, machine technology, cartography, and on-line media, in addition to the various author's personal illustrations. the main sections of the e-book cover:
- Visualization as Medium -- within the related method now not all videos are documentaries, no longer all visualization is set optimum visible perception.
- Data illustration -- There are principles throughout all visualization purposes, equivalent to using acceptable shapes to adequately signify values.
- Design with objective -- ideas may be damaged even though. all of it will depend on who and what you are designing for.
Data Points digs deep into the principles of information visualization:
- Understanding facts and Visualization
- Representing Data
- Exploring information Visually
- Designing for an Audience
- Visualizing with Clarity
- Putting every little thing Into perform with instruments and Resources
Read Online or Download FlowingData.com Data Visualization Set PDF
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