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Rescooped by michel verstrepen from eLearning Innovations
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Vintage Data Visualization: 35 examples from before the Digital Era

Vintage Data Visualization: 35 examples from before the Digital Era | information analyst | Scoop.it

Graphics, charts, diagrams and visual data representations have been published on books, newspapers and magazines since they've existed, not to mention old maps and scientific illustrations...

 

Despite the lack of tools such as the ones we have at our disposal nowadays, they are as inspiring and important as the best contemporary visualizations. Visit the article link for a gallery of vintage visualizations...


Via Lauren Moss, Bucky Dodd
Mariana Soffer's comment, July 20, 2013 9:39 AM
my pleasure
Charlley Luz's curator insight, July 20, 2013 10:26 AM

muito legal, os Infográficos antes de existir a internet. 35 exemplos de infográficos no papel :) Achei falta do Marcha para Moscou do Minard http://www.datavis.ca/gallery/re-minard.php ;

Leoncio Lopez-Ocon's curator insight, July 20, 2013 2:57 PM

El brasileño Tiago Veloso, fundador de Visual Loop, nos ofrece 35 interesantísimas representaciones visuales de distintos fenómenos y eventos que permiten hacer un paseo por la historia de la ilustración científica.

Rescooped by michel verstrepen from visual data
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Visualizing Connections In Data & Analyzing Information

Visualizing Connections In Data & Analyzing Information | information analyst | Scoop.it

For many data visualization projects, information comes from a source that has already done some aggregation. This is both a blessing and a curse. Aggregation definitely simplifies the analysis and visualization process, but it can also greatly reduce the visualization and analysis options. This is because aggregation often destroys connections in data. For this reason, it's critical to have an in-depth and thorough knowledge and understanding of the information from aggregated information. There are several different visualization techniques that open up once we have the original data, such as Euler diagrams and parallel sets.

 

The extra information that can be obtained from visualizations is important to gaining a full understanding of the data, and it can lead to a much more interesting story, as well as far better visualizations and more accurate connections and links within those visualizations.

So, when gathering data about something, remember to dig deeper into it, as there are many important connections that happen within data that can provide knowledge beyond just a simple average or total.

 

To learn more about the value of these connections, sourcing accurate data, and how it is transformed into useful graphics, read the complete article and check out the case study used to convey the main points outlined above...


Via Lauren Moss
kurakura's comment, November 15, 2012 5:17 AM
the last graph on that page is really useful for understanding the data?