with TwitterFriends you can ... * find out the hidden network of Twitter contacts that are really relevant for you. * visualize the network of your relevant contacts and their contacts * see who of your Twitter friends are online this very moment * read some stats about your Twitter account * take a look at the most conversational Twitterers or those who are posting the most links To see your relevant network and some stats about your tweeting behavior compared to other Twitter users, just enter your (or another) Twitter username: * Darren Rowse of Problogger Blog Tips wrote a nice review on TwitTip and calls TwitterFriends a "great Twitter statistics tool". Thanks, Darren! * Jason Annas even created a video explaining TwitterFriends. I think this is a great introduction to the tool, but see for yourself:
Swivel is a website where people share reports of charts and numbers. Swivel is free for public data, and charges a monthly fee to people who want to use it in private.
The purpose of Data.gov is to increase public access to high value, machine readable datasets generated by the Executive Branch of the Federal Government.
Data presentation can be beautiful, elegant and descriptive. There is a variety of conventional ways to visualize data - tables, histograms, pie charts and bar graphs are being used every day, in every project and on every possible occasion. However, to convey a message to your readers effectively, sometimes you need more than just a simple pie chart of your results. In fact, there are much better, profound, creative and absolutely fascinating ways to visualize data. Many of them might become ubiquitous in the next few years.
The burgeoning interest in R demonstrates that there’s demand for analytics to solve real, business-critical problems in a broad spectrum of companies and roles, and that some of the incumbent analytics offerings, in particular SAS and SPSS, don’t sufficiently meet the growing need for analytics in many major companies. Annotated link http://www.diigo.com/bookmark/http%3A%2F%2Fspotfire.tibco.com%2Fcommunity%2Fblogs%2Fenterpriseanalytics%2Farchive%2F2009%2F01%2F08%2Fanalytics-in-the-nyt.aspx
Mail Trends lets you analyze and visualize your email (as extracted from an IMAP server). You can see: * Distribution of messages by year, month, day, day of week and time of day * Distribution of messages by size and your top 40 largest messages * The top senders, recipients and mailing lists you're on. * Distributions of senders, recipients and mailing lists over time * The distribution of thread lengths and the lists and people that result in the longest threads
R. Westerholt, M. Gröbe, A. Zipf, and D. Burghardt. 10th International Conference on Geographic Information Science (GIScience 2018), volume 114 of Leibniz International Proceedings in Informatics (LIPIcs), page 63:1--63:7. Dagstuhl, Germany, Schloss Dagstuhl--Leibniz-Zentrum fuer Informatik, (2018)