Click to Tweet: http://clicktotweet.com/Q9m9U Paul Andersen explains how graphs are used to visually display data that is collected in experimentation. He de…
Here’s a video that supports our work on graphing data. Thanks to Diana M. for the link!
Using Tableau for twitter data visualization
This post will give you a couple of visualizations of a twitter data set regarding the search term ‘@CostaCoffee’.
Fast food film. Decreasing shot length in the movies 1930 to present. (via FlowingData | Data Visualization, Infographics, and Statistics)
I notice this when I watch older movies — how the pace of the editing is much slower.
The poor old pie chart. Brinton disliked them 100yrs ago, despite them being “used probably more widely than any other form to show component charts.”
He called them circular charts. When did the term pie chart come into play? Possibly 1914 just as Brinton published his book.
Networked Donors: Political Moneyball
The Wall Street Journal takes a close look at political contributions in a thorough interactive that pulls data from monthly Federal Elections Commission reports.
Pictured above are overall individual and committee contributions (top); contributions and contributors to Restore Our Future, a PAC created to support Mitt Romney (middle left); the balance between ideological or single issue committees and the Democratic and Republican parties (middle right); and who health services and HMO’s are donating to (bottom). (Select any to embiggen).
It’s all very clicky with a various data points available under various layers so explore through.
Meanwhile, via the Wall Street Journal:
We all know that politics is awash in money, money that is accounted for in disclosures made public through the federal government. But the degree to which we understand this universe is limited by how well we can imagine how the players and the money are interconnected.
To better understand, we used social network software to analyze the universe of money in politics.
All the money in politics starts with donors — either individuals or groups like companies and unions. Their donations go to Political Action Committees (which represent the interests of companies or groups) or candidate or party committees (which finance campaigns and other political spending). These committees often send money to one another, which tells us a lot about who their friends are.
Based on the money sent between the players (and other characteristics like party and home state), our presentation pulls players toward similar players and pushes apart those that have nothing in common. The players who are most interconnected (like industry PACs who try to make alliances with everyone) end up close to the center. Those who are less connected (like a donor who only gives money to Ron Paul) are pushed away from the center. The resulting picture is a first-ever interactive portrait of the universe of money in politics, complete with obvious macro lessons (like the gulf between Democrats and Republicans) and with many micro stories that are still emerging.
There is a lack of data literacy among the general public. People don’t ask the right questions when they’re presented with data: like which units are we using, where does the scale start, and so on. It’s something we need to teach more. It doesn’t come naturally with more exposure to data.
And what I think we as a society need to become more aware of is that data isn’t something abstract that exists out there independent of our lives. The fact that we’ve raised it means that it relates to our lives somehow.
It still amazes me that I talk to guys who still think they get harassed just as much as women online. Like even from people who aren’t clearly and totally gross dumbasses. It kinda makes me think that, even in the best cases, it might be hard to really understand the sheer difference in frequency. You see a woman get harassed on a game and you go “Oh well I’ve been harassed” without understanding that there is seldom a session for her where that doesn’t happen or understanding what her inbox might look like…
That’s J. Shia of Madhouse Motors on a Honda CB350 they restored and customized.
Fuck yeah visualizations of plays from Ancient Greece!
Tuition Rates by Country for Top 30 Schools
Source: Bwab (reddit)
I would have done this as a scatterplot or bar graph — line graphs always make me think “changes over time”. Still. DAYUM we pay too much for healthcare, housing, & education in the US!
The built-up area of Atlanta and Barcelona represented at the same scale
Urban densities are not trivial, they severely limit the transport mode choice and change only very slowly
Because of the large differences in densities between Atlanta and Barcelona about the same length of metro line is accessible to 60% of the population in Barcelona but only 4% in Atlanta. The low density of Atlanta render this city improper for rail transit.