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10 big questions the Pew Research Center has tackled in the past decade

pewinternet:

image

Happy 10th anniversary to the Pew Research Center. Over the last 10 years, we have tackled some of the biggest questions America faces, including questions on topics like the American political landscape, millennials, the impact of the internet, and many more.

Here’s a quick recap.

Another nice use of animated gifs for dataviz.  Would love to learn how to do this.  

davideoliveri:

My first dataviz work has been featured on knowmore.washingtonpost.com
There are a bunch of scores to visualize and to “play”. 
See the source here: https://github.com/davideoliveri/ScoreToChart 

davideoliveri:

My first dataviz work has been featured on knowmore.washingtonpost.com

There are a bunch of scores to visualize and to “play”. 

See the source here: https://github.com/davideoliveri/ScoreToChart 


Datawrapper — an open source, online data visualization tool.  

Top 5 Data-Scraping Tools for Would-Be Data Journalists


Scraping, mapping, and grabbing (from APIs).  These are the three skills I recommend tech-inclined journalists to learn.  

datarep:

Freshly Updated Interactive Map of Ebola Outbreaks and Other Ebola Visualizations
Read More

datarep:

Freshly Updated Interactive Map of Ebola Outbreaks and Other Ebola Visualizations

Read More

We're Compiling Every Police-Involved Shooting In America. Help Us.


Kyle Wagner of Deadspin is trying to compile a list of every officer-involved shooting in the US, and he wants your help.  Click through if you’ve got some time and Google-Fu.  

Sitting in a class on D3.js, a javascript framework for creating data visualizations, and I get good news: Lyra.  
As one of the creators put it, easy tools for creating data visualizations (Excel, Tableau) aren’t always very expressive.  Tools like D3 are very expressive — but you have to write lots and lots of code.  It’s hard. 
Enter Lyra.  Lyra puts a GUI on top of D3, and when you’re done, generates the code.  It also puts out a flat JSON file in a format known as Vega.  The cool thing about that?  Vega is highly reusable.  You can reuse a visualization simply by feeding it a different dataset.  Cool.  
Lyra: An Interactive Data Visualization Tool

Sitting in a class on D3.js, a javascript framework for creating data visualizations, and I get good news: Lyra.  

As one of the creators put it, easy tools for creating data visualizations (Excel, Tableau) aren’t always very expressive.  Tools like D3 are very expressive — but you have to write lots and lots of code.  It’s hard. 

Enter Lyra.  Lyra puts a GUI on top of D3, and when you’re done, generates the code.  It also puts out a flat JSON file in a format known as Vega.  The cool thing about that?  Vega is highly reusable.  You can reuse a visualization simply by feeding it a different dataset.  Cool.  

Lyra: An Interactive Data Visualization Tool


visualeverything:

Alexander Chen has created this amazing live data visualisation using MTA data. He calls the project Conductor.

The app tracks live trains as they leave stations on the NYC subway, applying rules to their paths that allows them to cross. Each time they cross they play chord. Creating an orchestra of audio art.

You can read all the details on Alexander’s blog or go to the live site and see it all in action.

gertjanverheydenmaster:

7 billion world
7 Billion World displays 7 billion people together on a single webpage. Developed by Worldometers - which themselves were originally posted in the good year of 2005 -, the web page itself is generated through some small programming code, yet is claimed to be 1 mile (1.6km) high and 800 feet (250m) wide, which is both horizontally and vertically scrollable.
7billionworld.com

gertjanverheydenmaster:

7 billion world

7 Billion World displays 7 billion people together on a single webpage. Developed by Worldometers - which themselves were originally posted in the good year of 2005 -, the web page itself is generated through some small programming code, yet is claimed to be 1 mile (1.6km) high and 800 feet (250m) wide, which is both horizontally and vertically scrollable.

7billionworld.com

Agnes Chavez creates algorithmic drawings from data, like this drawing of a forest.  See more here.

Agnes Chavez creates algorithmic drawings from data, like this drawing of a forest.  See more here.

wtf-viz:

Business on the right, party on the left.

WTFVIZ collects examples of data visualization that R DOIN IT RONG.  

wtf-viz:

Business on the right, party on the left.

WTFVIZ collects examples of data visualization that R DOIN IT RONG.  

About Me


Lisa Williams

Founder of Placeblogger.com | Winner of Knight News Challenge | Center for Civic Media, MIT Media Lab | Cambridge, MA | @lisawilliams on Twitter | lisawilliams on Github




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