Most people know the layout of their neighborhoods and some are good with the roads in their town. Zoom out farther though — to your city, state, and country — and the landscape grows fuzzy in your imagination. Cartographer Chris McDowall redrew his uncertainty of his native New Zealand with interesting, fuzzy results.

The maps on this page are an attempt to translate my head landscapes into cartographic artefacts. I am trying to recreate of what I see when I close my eyes. They are rough approximations—the stuff in my head is far stranger and more difficult to pin down—but they feel honest. I share them because I find them beautiful and evocative.

Text can be a great source of data, but it can be a challenge to glean information from an analysis standpoint. etcML can help you with that. Browse Twitter trends, classify your own text with existing machine learning classifiers, or upload your own training data.

But most importantly, you can use etcML to learn interesting new things about whatever text data you’re already working with in your job or research. Say you’re a social scientist with written and multiple-choice survey responses — you can quickly see how well participants’ written text allows you to guess their multiple-choice response. Or say you’re a literary scholar who wants to know what distinguishes an author’s early and late periods — you can train a classifier and visualize the most predictive words for each category.

Saved for later.

Fathom Information Design watched all six Rocky movies, classified segments into dialogue, training, montages, pre-fight, fight, and credits, and then visualized it. Rocky Morphology is the result.

It’s interesting to see the battle between dialogue, montage and fighting throughout each film. Dialogue beats out training and fighting in the first two Rocky films, but fighting and montage occupy the most time in Rocky III and Rocky IV. Rocky V favors dialogue over fighting — undisputedly slowing its pace next to the previous films. In the final round, Rocky sticks with dialogue over fighting but — “it ain’t over ’till it’s over” — Rocky delivers one last montage and fight scene to close out the series and complete the Rocky Morphology.

Needs more montage. Maybe we’ll get it in Grudge Match, because as we all know, that has instant classic written all over it.

Fathom Information Design, in collaboration with the Knight Foundation and Quid, visualized the growth of civic tech based on an analysis of terms used to describe civic tech organizations and investments in them. The interactive accompanies a report, which describes the full findings.

A new report released today by Knight titled “The Emergence of Civic Tech: Investments in a Growing Field” aims to advance the movement by providing a starting place for understanding activity and investment in the sector. The report identifies more than $430 million of private and philanthropic investment directed to 102 civic tech organizations from January 2011 to May 2013. In total, the analysis identifies 209 civic tech organizations that cluster around pockets of activity such as tools that improve government data utility, community organizing platforms and online neighborhood forums.

Really like the transitions as you move through organizational breakdowns.

Just for kicks, Jimmy Chen plotted artists on a subjective arrogance-vs-genius scale. Above is the one for singers.

Ekisto, by visual artist Alex Dragulescu, is an experiment in visualizing online communities that provides an interesting city effect. So far there are views for StackOverflow, Github, and Friendfeed.

A graph layout algorithm arranges users in 2D space based on their similarity. Cosine similarity is computed based on the users’ network (Friendfeed), collaborate, watch, fork and follow relationships (Github), or based on the tags of posts contributed by users (StackOverflow). The height of each user represents the normalized value of the user’s Pagerank (Github, Friendfeed) or their reputation points (StackOverflow).

Also available in print.

Based largely on satellite data and the results of an airborne data collection mission compiled by the British Antarctic Survey, Bedmap2 by NASA Goddard is a construction of what Antarctica looks like underneath the giant sheet of ice. This iteration of the map used 25 million more observations than the original Bedmap1, which was released in 2001, and provides a more granular view.

[via Wired]

A video from the International Geosphere-Biosphere Programme explains global warming and projected changes in the near future. I wanted them to provide more contrast to the data they showed over the globe, but the story itself is an interesting one.

FlightAware is a live flight tracker that lets you look up a flight to see where a plane is (and also provides a for-fee API). Their new MiseryMap focuses on delays and cancellations, a sore spot for all fliers and especially relevant given the holiday season and wintery weather. Donuts on the map represent on-time flights in green and delayed and canceled ones in red.

They also show weather underneath, which is important context and a leading cause of misery. However, I wish there was a legend to tell me what those rainbow spectrum clouds mean.

The holiday season came out of nowhere this year. Everyone put their lights up over the weekend while I’m stuck trying to figure out what day it is. If you’re like me and need some quick gift ideas for your fellow data nerd, here are some fine ones that you can’t go wrong with.
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A recently divorced woman is using her personal data — phone logs, emails, chats, bank statements, and GPS traces — as her own way to cope with the new situation.

Divorce is hard. Putting this process into numbers, images and data visualizations is helpful. It yanks me out of these all-consuming moments of sadness and helps me understand how, perhaps as time passes, things are going to be ok in the long run (looking for positive trends within the data!) I hope these web things can help you, too.

Data and charts as a route to clarity. Sounds right.

See also: What Love Looks Like.

Looking for a job in data science, visualization, or statistics? There are openings on the board.

Data Scientist at Mi9 in Sydney, Australia.

Data Visualization Specialist at infogr8 in London, UK.

Product Engineer at Practice Fusion in San Francisco, CA.

Data Scientist at Thumbtack in San Francisco, CA.

Content Marketing Designer in New York, NY.

For the downtime post-turkey. James Trimble stuck the top 200 reddits of all time into a treemap. Let the time suck begin.

Using the effective jellybean method, Ze Frank describes the finite time we have. Each bean represents a day in the life of an average person.

Happy Thanksgiving, everyone.

Andrew Filer mapped the reach of public radio stations in the United Stations, based on data from Wikipedia and the station search from the Federal Communications Commission. Each circle represents a station and its coverage, and colors represent media outlets. For example, Capital Public Radio in Northern California is available across several stations in Sacramento, Modesto, Tahoe City, and others.

So now you know where to go the next time you grow tired of the usual Billboard top 20.

The Washington Post looked at Super ZIP codes, a classification based on household income and education levels. It’s a featured story, but it leads off with an interactive map so that you can see the ZIPs you’re interested in.

The ranks, ranging from 0 to 99, represent the average of each Zip’s percentile rankings for median household income and for the share of adults with college degrees. Super Zips rank 95 or higher. This approach is adapted from one used by author Charles Murray.

The map at top shows the nation’s 650 Super Zips. Among them, the typical household income is $120,272, and 68 percent of adults hold college degrees. That compares with $53,962 and 27 percent for the remaining 23,925 Zips shown. Only Zips with at least 500 adults are displayed.

I wonder what you get when you look at just education alone. Does it look the same? And, as usually is the case with these sorts of studies, how does cost of living play a role?

Bokeh, a Python library by Continuum Analytics, helps you visualize your data on the web.

Bokeh is a Python interactive visualization library for large datasets that natively uses the latest web technologies. Its goal is to provide elegant, concise construction of novel graphics in the style of Protovis/D3, while delivering high-performance interactivity over large data to thin clients.

If you’re new to this stuff, you might just want to start with D3.js simply to avoid the Python setup, but if you use Python exclusively already, this might fit well in your workflow.

Presented mostly for my fond memories as a grade schooler, with a fresh 2400 bps modem in the 486, who recently discovered something called a BBS. Those were the good old days. My dad got me a 50-foot phone line to run from the computer to the phone jack in the back corner of another room.

Hansen, Potapov, Moore, Hancher et al. produced high-resolution maps of global forestry to estimate change between 2000 and 2012.

Quantification of global forest change has been lacking despite the recognized importance of forest ecosystem services. In this study, Earth observation satellite data were used to map global forest loss (2.3 million square kilometers) and gain (0.8 million square kilometers) from 2000 to 2012 at a spatial resolution of 30 meters. The tropics were the only climate domain to exhibit a trend, with forest loss increasing by 2101 square kilometers per year. Brazil’s well-documented reduction in deforestation was offset by increasing forest loss in Indonesia, Malaysia, Paraguay, Bolivia, Zambia, Angola, and elsewhere. Intensive forestry practiced within subtropical forests resulted in the highest rates of forest change globally. Boreal forest loss due largely to fire and forestry was second to that in the tropics in absolute and proportional terms. These results depict a globally consistent and locally relevant record of forest change.

Be sure to select the various data products and zoom in on example locations via the dropdown menus on the right of the map.