25

There are actually quite a few applications for visualizing and analyzing graphs: Gephi and Cytoscape are two well-known open source applications that support large and complex graphs. If you're mainly interested in visualizing graphs, have a look at Graphviz, which is an absolute classic. You can also use R or commercial tools like Mathematica if you're ...


11

One that just appeared is https://plot.ly. There are many more. Which program is most useful to you depends on a lot of factors. If you are technical proficient, you might like Weka (http://www.cs.waikato.ac.nz/ml/weka/).


10

There are also a number of network analysis packages for the open source R language, such as network and sna, and igraph, all of which have some viz capabilities. R can also be a good environment for general data manipulation tasks.


9

d3.js is also a good javascript library manipulating data. Though most commonly used for building visualizations, you can do any sort of data-driven manipulation in the browser. vega is slightly higher-level visualization grammar built on top of d3.


7

for python i recommend igraph and networkX, for parallel computing graphX.


5

Both the US CDC and the World Health Organization have databases for statistics on infectious diseases. The entry points to the online databases are: CDC http://wonder.cdc.gov/datasets.html WHO http://apps.who.int/globalatlas/DataQuery/default.asp http://who.int/research/en/ This is the EU Commission's portal on Communicable Diseases. I don't think you ...


5

It's hard to suggest a good tool without knowing how deep into programming you want to go, or if the tool is for exploration or presentation. But here is a sample of many good tools out there: Javascript: Envision.js Rickshaw Cubism R: Dygraphs Google Charts Python: Matplotlib Pandas (using Matplotlib) Plotly blog - Time Series Graphs & Eleven ...


5

There are a few solutions to visualize graphs : D3.js, Sigma.js, KeyLines, Gephi, Linkurious, Neoclipse, Neovigator. Here is a table that compare some of these options : http://linkurio.us/comparative-study/ And a quick presentation about the different approaches to visualizing graphs : http://www.slideshare.net/Linkurious/graph-visualization-options-and-...


5

If your main focus is to visualize the data and have graph metrics I would recommend this list. If you want an off the shelf package Gephi - Desktop application, Open Source license Cytoscape - Desktop Application - Open Source license Pajek - Desktop Application, Free for non Commercial use (old but still good - I've seen papers using it just few days ago)...


5

My team builds https://vida.io a tool for creating data visualization templates. We support d3.js templates. You can see a lot of examples on our site: https://vida.io/explore For simple chart/visualization, you can use Google visualization tool: https://vida.io/pages/google-charts


4

Quadrigram (www.quadrigram.com) has good graph visualizations in both 2D and 3D. They are relatively easy to set and publish. You can also combine them with Maps and other visualizations Checkout this example here.


4

What info would you like? I would be happy to send you the data you are looking for, but, need a general direction of what specific measures you are looking at having. In the meantime, here is a gist of performance data from three boxes - php5, php7 and media server. cpu.usage.average - CPU usage as a percentage during the interval cpu.usagemhz.average - ...


4

Go through these resources maybe you'll get the data of your interest at any of these-- GovTrack.us Open Data & API Resources A to Z - Congress.gov Resources Open Data Data and Statistics about the United States Hope it helps. But in case you need more data and info update me on that. I'll try my best to bring you more data. Cheers! Update API for ...


3

The World Bank: Data Open Government (US) Open Data Communities (UK) San Francisco Data


3

You already listed a bunch. There's also Philadelphia's Open Data Pipeline Whitehouse Scorecard


3

You can search through the UCI Machine Learning Repository by the # of Attributes. For example, the Arrhythmia dataset has 279 attributes.


2

There are a number of packages in the R language very useful to data analysis/visualization. Hadley Wickham has developed lot of interesting tools to make these task easier. The recent bigvis package is very promising.


1

I found the data source for the figure from The Guardian https://docs.google.com/spreadsheets/d/1kHCEWY-d9HXlWrft9jjRQ2xf6WHQlmwyrXel6wjxkW8/edit?pli=1#gid=0 Lots of extra features in that data to look at.


1

You already put some of them, so I'm going to add: Gapminder This is a database created in Sweeden by Professor Hans Rolling. Gapminder uses the data of the several sources such as World Bank, United Nations and their subsequent institutions, the International Monetary Fund, World Health Organization and several more. Also, there's a interactive software ...


Only top voted, non community-wiki answers of a minimum length are eligible