A World of Terror

Uma excelente visualização de dados interativa

Uma excelente visualização de dados interativa

Exploring the reach, frequency and impact of terrorism around the world

The data used in this tool comes from the Global Terrorism Database, the most comprehensive collection of terrorism data available.

GeographyThe 25 groups included here have been active in 73 countries on five continents. Of these, the country targeted by the most groups has been France: Al-Qa`ida, Basque Fatherland and Freedom, Hizballah, The IRA, and the Kurdistan Workers’ Party. The group with the greatest geographic spread is Hizballah, responsible for terrorism in 17 countries.
YearsOn average, these top 25 groups have been active almost 19 years (during this time frame), while all other groups have been active just over 2 years.
WoundedThe 25 groups listed here are responsible for 48% of all known wounded victims, with ISIS being responsible for the most wounded (10,585). However, Al-Qa`ida is more effective, wounding 230 per event on average.
KilledOf the total verified fatalities, over half (83,896, or 56%) are attributed to the 25 groups listed here. The greatest number of deaths by these groups, 6,857, happened in 2013.

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johnny cash has been every where

Uma animação com todos os lugares referidos numa canção de johnny cash

Uma animação com todos os lugares referidos numa canção de johnny cash

A hack by Iain Mullan for Music Hack Day London 2012 using MusixMatch , Toma.HK and Johnny Cash

I’ve Been Everywhere on Covers FM

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What are you going to do with that degree?

Boa visualização sobre o q fazem os licenciados com os seus títulos.

Boa visualização sobre o q fazem os licenciados com os seus títulos.

Jobs by college major

This is a quick Sankey visualization of how college majors relate to professions, based on data from the American Community survey. On the left are the largest college majors; to the right are the most common professions.

To see broad fields like “Sciences” and “Humanities”, see the edited version of this page.

The width of each stream shows how many people with that major are in that field. (The color shows whether that’s more or fewer people than expected based on how big the major is: hover over to see just how many more it is.) The width of each stream shows how many people with that major are in that field. (The color shows whether that’s more or fewer people than expected based on how big the major is).

You surely see that the lines are too small to understand in most cases: to actually see what’s going on with a particular field or job, click on a box and the chart will filter down to just the people who either majored in the field, or ended up employed in the job. (Click on one of the connecting lines to see both at once.)

I have not developed this that far because I am not sure how useful it ultimately is: my basic goal was a quick way to see, for example, what jobs history majors ended up in. (Largest is lawyers, but also schoolteachers; what you would expect, but worth knowing.)

You might also like my visualization of changing college degrees over time.

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Vector maps on the web with Mapbox GL

Novas funcionalidades da biblioteca Java para desenhar mapas vetoriais

Novas funcionalidades da biblioteca Java Script para desenhar mapas vetoriais

Online mapping just got an upgrade:

Announcing Mapbox GL JS — a fast and powerful new system for web maps. Mapbox GL JS is a client-side renderer, so it uses JavaScript and WebGL to dynamically draw data with the speed and smoothness of a video game. Instead of fixing styles and zoom levels at the server level, Mapbox GL puts power in JavaScript, allowing for dynamic styling and freeform interactivity.

For the non-developers: Online maps are typically stored pre-made on a server, in the form of a bunch of image files that are stitched together when you zoom in and out of a map. So developers have to periodically update the image files if they want their base maps to change. It’s a hassle, which is why base maps often look similar. With Mapbox GL, making changes is easier because the development pipeline is shorter.

More details on the JavaScript library here.

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Wi-fi revealed

Mostrar o invisivel como as ondas eletromagnéticas criadas pelo wi-fi

Mostrar o invisivel como as ondas eletromagnéticas criadas pelo wi-fi

Digital Ethereal is a project that explores wireless, making what’s typically invisible visible and tangible. In the piece above, a handheld sensor is used to detect the strength of Wi-Fi signal from a personal hotspot. A person waves the sensor around the area, and long-exposure photography captures the patterns.

Reminds me of the Immaterials project from a while back, which used a light stick to represent signal strength rather than a signal light.

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Markov Chains explained visually

Boa forma de perceber como funcionam as cadeias de Markov

Boa forma de perceber como funcionam as cadeias de Markov

Adding on to their series of graphics to explain statistical concepts, Victor Powell and Lewis Lehe use a set of interactives to describe Markov Chains. Even if you already know what Markov Chains are or use them regularly, you can use the full-screen version to enter your own set of transition probabilities. Then let the simulation run.

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Income inequality seen in satellite images from Google Earth

Uso de proxis para identificar vizinhanças pobres

Uso de proxis para identificar vizinhanças pobres

Researchers Pengyu Zhua and Yaoqi Zhang noted in their 2008 paper that “the demand for urban forests is elastic with respect to price and highly responsive to changes in income.” Poor neighborhoods tend to have fewer trees and the rate of forestry growth is slower than that of richer neighborhoods.

Tim De Chant of Per Square Mile wondered if this difference could be seen through satellite images in Google Earth. It turns out that you can see the distinct difference in a lot of places. Above, for example, shows two areas in Rio de Janeiro: Rocinha on the left and Zona Sul on the right. Notice the tree-lined streets versus the not so green.

De Chant notes:

It’s easy to see trees as a luxury when a city can barely keep its roads and sewers in working order, but that glosses over the many benefits urban trees provide. They shade houses in the summer, reducing cooling bills. They scrub the air of pollution, especially of the particulate variety, which in many poor neighborhoods is responsible for increased asthma rates and other health problems. They also reduce stress, which has its own health benefits. Large, established trees can even fight crime.

Okay, I don’t now about that last part about fighting crime. Without seeing the data, I think that sounds like a correlation more than anything else, but still. Trees. Good.

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Site sobre visualização da GE.com

Site com muitos exemplos de visualização mantido pela GE

Site com muitos exemplos de visualização mantido pela GE

GE Works. Building, Moving, Powering and Curing the world. In the process, our technologies are generating data on a petabyte scale. This data contains valuable information that will drive insights, innovations, and discoveries, but it can be difficult to access and digest. Using data visualization, we’re pairing science and design to simplify the complexity and drive a deeper understanding of the context in which we operate.

Check out our latest video.

We encourage you to explore the projects below.

For further information about GE’s data visualization program, please contact us at datavizinfo@ge.com

To share your own visualizations, please visit www.visualizing.org

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Tutorial para explicar como acrescentar um segundo eixo aos gráficos do Excel

Tutorial para explicar como acrescentar um segundo eixo aos gráficos do Excel

Data Visualization – Banking Case Lab : Microsoft Excel – use Secondary Axis to Create Two Y Axes

25th May, 2014 ·

Analytics Lab

Banking Case

Using Secondary Axis to Create Two Y Axes in Excel


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Humor com gráficos kindofnormal

Humor com esquemas e gráficos

Humor com esquemas e gráficos

Alguns exemplos:

  • People that door latches keep out
    • June 12, 2014
    • 0
  • Snacks at the movies
    • June 11, 2014
    • 3.8
  • Customer service
    • June 10, 2014
    • 5.9
  • Who wears the pants
    • June 9, 2014
    • 5
  • What you want to be
    • June 6, 2014
    • 5.5
  • Apples

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