View allAll Photos Tagged graph
Proportion of Cancers caused by HPV in the United States
Credit: NCI
www.cancer.gov/multimedia/infographics/plan-2016/hpv-info...
The easiest way of solving linear inequality problems is inequality graphing. Graphingis a procedure with which the geographical form of any function, relation or equation is drawn for better explaining of them. While doing inequality graphing the straight line of linear inequality equation is restricted to only one side of the graph. For calculating the slope or tangent of the line we use the standard slope formula which is as:
A graph used in a lecture presented by JR James at the Department of Town and Regional Planning at The University of Sheffield.
For increased legibility for the graph tut how about moving the lines to the back adding descriptions to each bar and removing the flare.
Inequality graph of any linear inequality equation includes the calculation of the limits according to which Graphing of the equation is done in certain region of the graph. This limit is calculated according to the inequality sign in the equation.
Sarah displaying mathematical tendencies - this graph shows frequency of hama bead colours in a pattern book!
A graph of life expectancy.
Blue line is one of the series shown on the page -- average years left of life by age in the US in 1896.
The red line is the average years left of life by age (for males only) in the US in 2010.
The white dots is the average years left of life by age (males and females) in Afghanistan in 2008.
Sprite sat on the curb and watched traffic for about 4 minutes, recording the types of vehicles that came by. She put her data into a graph, using Create a Graph.
Sprite sat on the curb and watched traffic for about 4 minutes, recording the types of vehicles that came by. She put her data into a graph, using Create a Graph.
Scientific study of the relationship between height of rollercoasters and the chance that you have of wetting your pants whilst riding one.
My original pre-production ZEQ25 had 20 tooth 3mm pitch cogged pulleys. iOptron recently sent me the shipping 28 tooth 2mm pitch cogged pulleys and belts.
I installed them a few days ago, but weather had prevented me from testing the new pulleys.
I got out last night, 30 April, to test on a very clear night. To say I'm pleased with the result is an understatement. I was imaging NGC7023, and got so engrossed in the PHD graph, that I took 10, 5 minute exposures out of focus..:)
I quickly refocused with the Bahtinov, and then wasted 3, five minute images with the mask still on..) Finally got it all together and grabbed several focused images of the Iris, which is in my work in progress folder to be processed...perfect stars.
In addition to the new pulleys/belts, it was first light for my new Lodestar guiding camera, and I'm very happy with that as well.
Here we've removed everyone who has only one connection. These are called "pendants" because they sort of hang off the graph.
I created a graph for visualising in Gephi by taking every link and every tag in my Delicious history as a node, and creating an edge for each "this link is tagged as this tag" relationship. I ran clustering and authority calculations over the graph, then removed the link nodes leaving only the tags. Removing the link nodes also removes all the edges from the graph, but leaves a pleasing clustered distributions of tags.
The tags are coloured by HITS hub score and sized by HITS authority, which clearly finds the hub concepts: music, London, BBC, games/hardware, Dopplr, data, ruby/rails/javascript/mac/python programming.
Tags from my social life such as music, photography, Berlin and London are somewhat close to each other, but completely opposite to the programming hubs. BBC and Dopplr are also quite separate from each other.
Best viewed large, obviously.
There's another pass at the same data as a big browseable Seadragon viewer here: www.hackdiary.com/misc/delicious/seadragon.html