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A graph that demonstrates the answer to a survey question about when participants last had a blood test.
Data produced by Sheffield Corporation in 1963.
Presented by JR James in a lecture at the Department of Town and Regional Planning at The University of Sheffield between 1967 and 1978.
My overall weight loss was more or less static over the last week. Well, I am down about another 5 lbs from my high since the last graph, but as you can see had a major spike up during this week. I was eating the same (or better) during this time, and was exercising faithfully (average 30 minutes stationary or outdoor bike per day). My best guess is when I took some allergy pills early in the week (which mention "weight gain" as a side effect) that it caused me to gain or retain. Since I stopped taking them (Wednesday), my weight resumed its downward march.
I am glad the overall trend line still looks more or less the same, even accounting for this variation. Hopefully, next week will be better... or smoother, graph wise anyway. :-)
Now a feature in Integrity 3.7.2 - I added colour before releasing the new version (the colour indicates distance from home)
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...
Example of a Horizon Graph showing the correlation in price peformance across a time series of over 50 stocks.
A pattern made from graph paper, using the 6 colors of the rainbow in a continuous sequence to form a design.
In weaving we are constantly dealing with a family of four graphs that are readily interconverted: a triangulation, a cubic graph, a medial graph, and a radial graph.
An orthogonal projection vertex-edge frame of the 8-cube, drawn from a diagonal perspective, so the edge path distance from one node to all others are grouped into columns.
There's 256 vertices and 1024 edges in this graph.
The number of nodes by column are the 8th row of Pascal's triangle:
1 8 28 56 70 56 28 8 1
The nodes are colored by frequency, red as one, orange as two, etc.
See also:
I made this graph as a suggested improvement to one posted at eagereyes.org. See my comment there:
eagereyes.org/blog/2008/swing-states.html#comment-1050
By re-ordering the states by their previous consistency in voting for either the Republican or Democratic candidate (i.e. consistently Dem-leaning states are to the left, Republican to the right, and so-called "swing states" in the middle), useful patterns emerge. In the past, the whole nation has tended to swing from one side to the other, with a clear Republican predominance. Since 1992, however, there has been less of a national consensus. So the notion of swing states seems to be a useful concept only in the relatively recent past.
Made with DataGraph for OS X: www.visualdatatools.com/DataGraph/index.html
Now a feature in Integrity 3.7.2 - I added colour before releasing the new version (the colour indicates distance from home)
The graphs above the music rack show the positions of the shoes and the output of the crescendo both as a graph and as a number.