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antropologiaNet, dataviz, collective intelligence, algorithms, social learning, social change, digital humanities
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Overview of #Python Visualization Tools | #dataviz #datascience

Overview of #Python Visualization Tools | #dataviz #datascience | e-Xploration | Scoop.it
Overview of common python visualization tools
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Introduction

 

In the python world, there are multiple options for visualizing your data. Because of this variety, it can be really challenging to figure out which one to use when. This article contains a sample of some of the more popular ones and illustrates how to use them to create a simple bar chart. I will create examples of plotting data with:

 

- Pandas

- Seaborn

- ggplot

- Bokeh

- pygal

- Plotly

 

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Chart.js | #HTML5 #Charts for your website | #dataviz #tools

Chart.js | #HTML5 #Charts for your website | #dataviz #tools | e-Xploration | Scoop.it
Open source HTML5 charts using the canvas tag. Chart.js is an easy way to include animated graphs on your website.
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Easy, object oriented client side graphs for designers and developers
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Vintage Data Visualization: 35 examples from before the Digital Era | #dataviz #history

Vintage Data Visualization: 35 examples from before the Digital Era | #dataviz #history | e-Xploration | 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, Jim Lerman
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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.

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The Graphic Continuum | #dataviz

The Graphic Continuum | #dataviz | e-Xploration | Scoop.it
[This is a guest post by Jon Schwabish* and Severino Ribecca**, about the informational poster The Graphic Continuum]
 
 
How many different graph types exist? How do they relate to one another?
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How many different graph types exist? How do they relate to one another? Can you use the same graphic type for different types of data? These are the questions that we tried to tackle in our recent project, The Graphic Continuum.

 

Documenting the many chart types is something we were both working on independently for the past couple of years. Severino was building his Data Visualisation Catalogue, an online reference tool of data visualizations. At the same time, I was teaching data visualization to different audiences and was thinking about how to best show my students different graphic types and how they relate to one another.

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Generating #d3j s Motion Charts from rCharts | #Dataviz

Generating #d3j s Motion Charts from rCharts | #Dataviz | e-Xploration | Scoop.it
Remember Gapminder, the animated motion chart popularised by Hans Rosling in his TED Talks and Joy of Stats TV programme? Well it's back on TV this week in Don't Panic - The Truth About Population,...
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Whilst considering what materials we could use to support the programme, we started looking for ways to make use of the Gapminder visualisation tool that makes several appearances in the show. Unfortunately, neither Gapminder (requires Java?), nor the Google motion chart equivalent of it (requires Flash?), appear to work with a certain popular brand of tablet that is widely used as a second screen device…

 

Looking around the web, I noticed that that Mike Bostock had produced a version of the motion chart using d3.js: The Wealth & Health of Nations. Hmmm…

 

Playing with that rendering on a tablet, I had a few problems when trying to highlight individual countries – the interaction interfered with an invisible date slider control – but a quick shout out to my OU colleague Pete Mitton resulted in a tweaked version of the UI with the date control moved to the side. I also added a tweak to allow specified countries to be highlighted. You can find an example here (source).

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