Filed under: #mktgcloud, Data, Datarati, Visualisation | Tags: Data, Visualisation
Filed under: Data, Uncategorized, Visualisation | Tags: Data, Valentines Day, Visualisation
Well who could let Valentines day pass without some sort of data visualiation.
Ok, so there are two variables:
1.) How much money you want to spend on her?
2.) Where in the relationship you are at?
This computer simulation by Zhaw shows worldwide commercial flights over a 24-hour period.
Filed under: Data, Visualisation | Tags: Dashboards, Data, Visualisation, Voice enabled
Check out this dashboard app that allows you to change the display of data in a dashboard.
Wonder if they could handle multiple languages?
The New York Times is probably the number 1 media organisation globally for the visualisation of data.
Check out how they display data in their lobby in New York. Pretty Cool.
Filed under: Analytics, Data, Visualisation | Tags: Analysis, Data, Visualisation
Compare this with the depiction at chartjunk, which presents the same data, but this time with a scale that also emphasizes the number of people in each category:
It looks like it tells a different story, doesn’t it?
Here’s a third chart that gives emphasis to the total tax paid by each group rather than the number of people in each group. (Note that the numbers here are only approximate.)
You will surely protest that this scaling exaggerates the importance of the rich, which it does. But if you are concerned about balancing the budget, the rich are very important. The chart above does a useful job of trying to assess whether (and how) each tax plan pays for itself. (This chart would be more useful if it weighted people by their taxable incomes rather than their tax burdens.)
For those who prefer to see the raw numbers, the latest Tax Policy Center analysis was released on Friday, and is available here. (Note that the charts above were based on their previous analysis.) More generally, I highly recommend the Tax Policy Center analysis; it is careful, non-partisan, and broadly accepted by professional economists.
October 7, 2007
September 12, 2008
The above graphic shows that $4 trillion has been wiped off the total market capitalisation of the U.S. stock market since last October. Of that, nearly $1 trillion is from the decline in the financial sector alone.
Citigroup: $236.7 billion to $97.8 billion.
Bank of America: $236.5 billion to $150.2 billion.
AIG: $179.8 billion to $32.3 billion
Goldman Sachs: $97.7 billion to $61.3 billion
American Express: $74.8 billion to $45 billion.
Morgan Stanley: $73.1 billion to $41.1 billion.
Fannie Mae: $64.8 billion to $700 million.
Merrill Lynch: $63.9 billion to $24.2 billion
Freddie Mac: $41.5 billion to $300 million.
Lehman Brothers: $34.4 billion to $2.5 billion.
Washington Mutual: $31.1 billion to $2.9 billion
Filed under: Visualisation | Tags: Dashboards, Flowing Data, Visualisation
Readers of Flowingdata were asked to collect data about themselves or their surroundings and then visualise it in some way.
I Drink, Therefore I Am
I originally thought this was all alcoholic beverages. I was going to tell Tim that he might have a problem. Luckily though, it was all beverages he’s consumed over the past few months. That’s some serious discipline.
This one focuses on Tim’s Coke consumption. It’s a short story of a losing battle against his soda addiction.
A Month of Email Spam
How about a look at a month of email spam? Almost as many words of spam as in War and Peace.
Ouch, My Body Hurts
An Apple a Day…
A calendar of apples and doctors…
Chairs in the Kitchen
…and even Tim’s daughter got in on the action. Here’s her very first chart. It shows number of chairs by room. Proud father.
Commits to the SVN Repository
Brian is a postdoc part of an NSF-funded project and displayed commits to subversion, which he used to manage code and documents. He found that there tended me more commits to the repository as deadlines approached.
Is the Power Company Ripping Me Off?
Hey look – it’s a chart made in R! John bought a new house in 2000 and charted billed electricity use – estimated by the utility company and the regression.
From John, “Every once in a while, the electric company gets lazy and estimates the meter reading, rather than coming to my house to read it. In the attached graphic, I wanted to see those months in particular to determine whether the utility company tends to over-estimate or under-estimate my electricity use in those months, as compared with my own estimation formula.”
Are You Happy Today?
Kevin M has his own application, LifeMetric, which lets you enter how you feel and then compare emotions with other users.
How Do I Spend My Time Every Day?
Lisa has been tracking how she (and her family) spends time. Below is one day that shows how she (outside circle) and her husband (middle circle) and her kids spend their day.
SSH and FTP Logins
Similar in spirit to Brian’s visualization, Said put together a series of visualizations of his SSH and FTP logins. It looks like Said is a morning person?
Old School Networks
Stacey and Joel held a PieFest with some friends. While they had everyone together they drew up a network. People wrote their name and drew lines to the people they knew.