with social research (and many other types of research)
today is that it doesn’t reach many of the most important audiences (the public, research participants etc.)What does research generally produce?
HUGE BORING REPORTS NOBODY WANTS TO READ!
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Презентация на тему Data visualization
Содержание
- 2. Data VisualizationWhy is visualizing data important?A big
- 3. Data VisualizationWhy the disconnect?Most researchers communicate in
- 4. Data VisualizationVisualizing data is about telling a
- 5. Data VisualizationThe art and science of data
- 6. Data Visualization
- 7. Data VisualizationCommon types of “out-of-the-box” visualizationsSociologist generally
- 8. Data VisualizationSPSS:Advantages:Widely used in social sciencesExtensive number
- 9. Data VisualizationExcel:Advantages:Used in nearly every officeVery easyAble
- 10. Data VisualizationR:Advantages:Free! (legally)Able to handle large datasetsCountless analytical functionsDisadvantages:Requires coding knowledgeUgly graphics
- 11. Data VisualizationIllustrator / Inkscape:Advantages:Amazing graphic qualityLimitless flexibility for types of graphicsDisadvantages:No analysis functionsEasier to make mistakes
- 12. Data VisualizationThe best outcomes are a mix of programming and graphic designProgramming Options:JavaJavascriptHTMLPythonPHPFlashHTML
- 13. Data VisualizationStatic examples:
- 14. Data VisualizationStatic examples:
- 15. Data VisualizationStatic examples:
- 16. Data VisualizationDynamic examples: Tableau and Gapminderhttp://www.tableausoftware.com/learn/gallery/high-school-reading-and-math-scoreshttp://www.gapminder.org/world/http://www.gapminder.org/videos/200-years-that-changed-the-world-bbc/
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- 18. Похожие презентации
Data VisualizationWhy is visualizing data important?A big problem with social research (and many other types of research) today is that it doesn’t reach many of the most important audiences (the public, research participants etc.)What does research
Слайд 2
Data Visualization
Why is visualizing data important?
A big problem
What does research generally produce?
HUGE BORING REPORTS NOBODY WANTS TO READ!
Слайд 3
Data Visualization
Why the disconnect?
Most researchers communicate in language
only researchers use
Most organizations paying for research don’t know
to ask for something differentLike all other industries, researchers have their own dogma – change is difficult
Why the does it matter?
Much of the research done is wasted
People who are researched deserve to see the results
The bigger the audience is, the more information you will draw from the research
Слайд 4
Data Visualization
Visualizing data is about telling a story
Every
data point has a story – just like a
character in a bookThere are relationships, and interactions with data – just like characters in a book
How you present data can help people remember
Good visualization can make people take action
Raw Data
Story Telling
Action!
Слайд 5
Data Visualization
The art and science of data visualization
Part
scientist / researcher, part computer programmer, part graphic designer,
part story tellerRaw data
Computer programming
Graphic design
Слайд 7
Data Visualization
Common types of “out-of-the-box” visualizations
Sociologist generally use
SPSS
Many other analysts use Excel
Statisticians use “R”
Graphic designers use
Illustrator or InkskapeAll have their advantages and disadvantages as seen next…
Слайд 8
Data Visualization
SPSS:
Advantages:
Widely used in social sciences
Extensive number of
features
Very rigorous analytical capabilities
Able to handle large amounts of
dataDisadvantages:
UGLY charts
Limited number of visualizations
Incredibly expensive
Not used by anyone but sociologists
Слайд 9
Data Visualization
Excel:
Advantages:
Used in nearly every office
Very easy
Able to
handle somewhat large datasets
Decent graphic quality
Disadvantages:
Limited chart types
Not the
best graphics
Слайд 10
Data Visualization
R:
Advantages:
Free! (legally)
Able to handle large datasets
Countless analytical
functions
Disadvantages:
Requires coding knowledge
Ugly graphics
Слайд 11
Data Visualization
Illustrator / Inkscape:
Advantages:
Amazing graphic quality
Limitless flexibility for
types of graphics
Disadvantages:
No analysis functions
Easier to make mistakes
Слайд 12
Data Visualization
The best outcomes are a mix of
programming and graphic design
Programming Options:
Java
Javascript
HTML
Python
PHP
Flash
HTML
Слайд 16
Data Visualization
Dynamic examples: Tableau and Gapminder
http://www.tableausoftware.com/learn/gallery/high-school-reading-and-math-scores
http://www.gapminder.org/world/
http://www.gapminder.org/videos/200-years-that-changed-the-world-bbc/
