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
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/).
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.
vega is slightly higher-level visualization grammar built on top of d3.
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)...
Both the US CDC and the World Health Organization have databases for statistics on infectious diseases. The entry points to the online databases are:
This is the EU Commission's portal on Communicable Diseases. I don't think you ...
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:
Pandas (using Matplotlib)
Plotly blog - Time Series Graphs & Eleven ...
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-...
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:
For simple chart/visualization, you can use Google visualization tool:
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.
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 - ...
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
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!
API for ...
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.
I'm not sure anybody in the world has this information.
I live in Italy, not far from the largest coronavirus spreading in Europe. Patient 1 (the guy who started the epidemic in all Italy) used to live about one hour from my town. No one has still a clue on how he got it, and how it all started. I'm quite sure there's no such data at all. I'm sorry about ...
"Data visualization" is a wide spectrum -- from tables to infographics, and everything in between.
But I did find one possible source: https://help.plot.ly/json-chart-schema/
The Plotly JSON visualization schema is a complete declarative format for creating, saving, and sharing interactive, scientific charts. The advantage of saving charts as JSON is ...
So on Kaggle there is a "line list" data source which is quite interesting.
In this list you will find a column showing whether it's the first case in a particular country, if the patient was visiting or coming from Wuhan.
However, there are cases where it's not that binary. Take ...
I found the data source for the figure from The Guardian
Lots of extra features in that data to look at.
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 ...