Difference between revisions of "Making-visualizations"
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** For graphics words should tell the viewer how to read the design and not what to read in terms of content | ** For graphics words should tell the viewer how to read the design and not what to read in terms of content | ||
** Make the reader choose how to perceive an information, do whatever it takes to understand the material (from presentation) | ** Make the reader choose how to perceive an information, do whatever it takes to understand the material (from presentation) | ||
+ | * Manners of presenting (from the lecture) | ||
+ | ** Research problem, examples of problem solutions | ||
+ | ** Content: what the problem is, relevance, solution | ||
+ | ** Dedicate 8 min of you presentation for audience to pre-read of the material | ||
+ | ** Present the material as it was given for the pre-read. Nothing like repetition improves the understanding | ||
+ | ** Credibility on speech: give the reasons to believe - documentation | ||
+ | ** Conclude with question to personalize/particularize | ||
+ | ** Inefficiency of PowerPoint – it is stuck in time | ||
Revision as of 13:23, 26 August 2012
List each item you identify using the following format. The easiest way is to copy and paste the template. For now don't bother grouping them, we'll collect a bunch first and then see what the appropriate categories are based on what we find.
Google Doc instead? Yes
Pattern
- Another pithy idea. Why it's important. How to accomplish it. [Where It's From, page number/URL. curator initials]
Example
- Choose color combinations with good contrast. This makes it easier for people to separate the principle components. Identify a set to use and then ask your colleagues for feedback, use a web-based color choosing tool. [Charlie's Book of Viz, page 33. cfp]
Entries
Start-Up
- "Excellence in statistical graphics consists of complex ideas communicated with clarity, precision, and efficiency. Graphical displays should:
- show the data
- induce the viewer to think about the substance rather than about methodology, graphic design, the technology of graphic production, or something else
- avoid distorting what the data have to say
- present many numbers in a small space
- make large data sets coherent
- encourage the eye to compare different p[pieces of data
- reveal the data at several levels of detail, from a broad overview to the fine structure
- serve a reasonably clear purpose: description, exploration, tabulation, or decoration
- be closely integrated with the statistical and verbal descriptions of a data set"
- - "The Visual Display of Quantitative Information", pg. 13
- "Graphics should be reserved for the richer, more complex, more difficult statistical material." - "The Visual Display of Quantitative Information", pg. 30
- Integrate words/numbers/pictures in one space (“The Visual Display of Quantitative Information”, Chapter 9, p.180-181):
- Integrate supportive text to the plotting filed to make the information perception easier for the viewer
- The size of type could be quite small
- Keep table, graph, words packaged in one place of the page – they all speak the same information
- Words on and around the graphics are highly effective in telling viewers how to allocate their attention to the various parts of data display
- For graphics words should tell the viewer how to read the design and not what to read in terms of content
- Make the reader choose how to perceive an information, do whatever it takes to understand the material (from presentation)
- Manners of presenting (from the lecture)
- Research problem, examples of problem solutions
- Content: what the problem is, relevance, solution
- Dedicate 8 min of you presentation for audience to pre-read of the material
- Present the material as it was given for the pre-read. Nothing like repetition improves the understanding
- Credibility on speech: give the reasons to believe - documentation
- Conclude with question to personalize/particularize
- Inefficiency of PowerPoint – it is stuck in time