View allAll Photos Tagged graphity
I'm playing with some graphing of metafilter data; this a graph of the connections between pairs of users who have favorited one another's content at least three times -- that is, for every pair of userids shown, user A has assigned at least 3 favorites to user B and vice versa, though the two numbers may be very different.
Graph created using Graphviz's "neato" executable. It's very cool and easy to use, but getting data to look as good as I want remains a challenge.
Joseph Christopher Carter (b: March 7, 1960) is a former right fielder and first baseman in Major League Baseball who played from 1983 to 1998. Carter is most famous for hitting a walk-off home run to win the 1993 World Series for the Toronto Blue Jays.
After a strong 1989 season, Carter was traded by Cleveland to the San Diego Padres for prospects Sandy Alomar, Jr., Carlos Baerga, and Chris James. Although he continued to drive in runs, he also continued to have defensive problems. The Padres subsequently dealt him to the Toronto Blue Jays along with Roberto Alomar in exchange for star players Fred McGriff and Tony Fernández.
Carter was named to five All-Star teams. In his career he hit 396 home runs and drove in 1445 runs. He drove in 100 runs in a season ten times, including the 1994 year, which was cut short due to the strike that occurred 115 games into the year. He was the first player to record 100 RBI for three different teams in three consecutive seasons.
Please identify yourself and help label these pictures. I've marked the MAIN one for each graph. The ones NOT labeled MAIN will be merged into the main one when I get the chance
So I've been working on a stock analysis program. The idea is to have little analysis modules, and I can plug them in and test them to see whether they have any predictive power or help explain previous stock behavior.
So I've been writing the whole framework for testing and using the modules, but I haven't actually worked on anything that actually ANALYZES. I made a simple module just for testing, so I'd have something to go off of.
I gave it a list of 100 super-huge stocks -- Ones like IBM, Coca Cola, McDonalds, etc. I set it a year in the past, then let it make predictions for what a stock's price would be four weeks in the future, then moved ahead a day, and so forth. For each day, it ranked the stocks from 1 to 100, where it thinks #1 will do the best, #100 would do the worst.
Then I grouped the results by 10s and converted everything to an APR. This is how many percent each group did over or under average.
Obviously, it has been absolutely terrible at predicting future stock prices. But once I get around to writing some analysis modules, it should be better. :-)
As part of Rewired State, we wrote some GreaseMonkey code to enhance the Office for National Statistics time series datasets by adding graphs to them.
More details at github.com/threedaymonk/ons_graphs
Example graph and contour using CEI's EnSight software. Contour and graph are all on one dynamic image allowing overlay of graphs on top of the contour image.
i made a graph resembling a road (white lines on black construction paper), and T graphed the numbers of cars, trucks and motorcycles using silver dot stickers. we talked about how it's easier to determine relative amounts of categories when the data is graphed this way.
Money Tailor? So the tape measure bit, does that green bit represent wealth and fill up? Because the scale is descending, which would mean that the bigger the green got the less money you had. And the bread? Is this a borrowed stock photo about dieting?
Graphing provides detailed long range history that is filterable by thermostat or sensor. It also allows you to view runtime of a thermostat's cooling, heating, dehumidification or humidification calls.
All of the HaikuHelper UI is completely customizable or you can create your own from scratch. All changes appear instantly within the UI without needing to refresh. Full control of the entire system is possible. HaikuHelper also integrates with other programming and scripting languages, other third party devices and even includes full JSON, HTTP and jQuery APIs.
A ruled notebook with the lines arranged horizontally wich distance 1 milimeter from each other.
Designed for those who have the tiniest writing.
This notebook was printed in two colors in letterpress in Lisbon, Portugal, in July 2011.
Dimensions: 17cm x 11,5 cm (6,7 in x 4,5 in)
Cover: white paper 250gr/m2
Bookblock: white paper 80gr/m2; 80 pages; pattern printed in offset.
Limited edition: 2500 copies
Love how this block turned out! I think I'm more impressed that I managed to figure how to size each cut and what not, I'm such a newbie!
Results of an IssueCrawler crawl seeded with recent blog posts referencing "Brian Burke", listed as having "a little authority" on Technorati. Node size plotted according to nodes' number of inlinks. See http://snurb.info/node/652 for more information.
Nothing like R for packing that data in.
Prototype graph for tissue specific codon usage.
Each candlestick is a tissue boxplot of RSCU for a bunch of different sample.
Alistair will give an overview of the techniques and technologies for visualising graph data, and explain where these work well for different types of problem. Graph databases help you to express the connections in your data. Simply by visualising those connections, you have a simple analysis tool, and a compelling user interface.
See the skillscast (film/code/slides) at skillsmatter.com/skillscasts/5095-seeing-patterns-in-your...