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Statistical Reasoning 1 http://ocw.jhsph.edu/index.cfm/go/viewCourse/course/StatisticalReasoning1/coursePage/index/ Most people could probably use a bit of a refresher on statistical reasoning and its methods, and this free course from Johns Hopkins University is a great way to get started on the road back to statistical literacy. The course was originally taught by John McGready and provides "a broad overview of biostatistical methods and concepts used in the public health sciences." Users will find that the home page includes links to the course syllabus, schedule, lecture materials, readings, and additional assignments. The Lecture Materials area includes course notes from the seven modules here. The topics include "Describing Data," "An Introduction to Hypothesis Testing," and "When Time Is of Interest: The Case for Survival Analysis." Visitors can also take advantage of the assignments, which correspond to the readings and the lecture materials. The site is completed by the Other Resources area, which includes a special lecture on the software package Stata and a flowchart designed to help students learn how to choose the correct statistical procedure for the task at hand. [KMG]

Eurostat was established in 1953 to meet the requirements of the Coal and Steel Community. Over the years its task has broadened and when the European Community was founded in 1958 it became a Directorate-General (DG) of the European Commission. Eurostat's key role is to supply statistics to other DGs and supply the Commission and other European Institutions with data so they can define, implement and analyse Community policies. The result: Eurostat offers a whole range of important and interesting data that governments, businesses, the education sector, journalists and the public can use for their work and daily life. With the development of Community policies, Eurostat's role has changed. Today, collecting data for EMU and developing statistical systems in candidate countries for EU membership are more important than ten years ago.

A taxonomy of tools that support the fluent and flexible use of visualizations Jeffrey Heer, Stanford University Ben Shneiderman, University of Maryland, College Park The increasing scale and availability of digital data provides an extraordinary resource for informing public policy, scientific discovery, business strategy, and even our personal lives. To get the most out of such data, however, users must be able to make sense of it: to pursue questions, uncover patterns of interest, and identify (and potentially correct) errors. In concert with data-management systems and statistical algorithms, analysis requires contextualized human judgments regarding the domain-specific significance of the clusters, trends, and outliers discovered in data.

http://www.zanran.com/ a search engine for data & statistics. Time to open your data, people! #opendata

An Applied Demography Toolbox A collection of applied demography programs, scripts, spreadsheets and databases. If you have any questions (such as how to apply the tools to your own work), recommendations or additions, you can send a message to me (Eddie Hunsinger) at edynivn@gmail.com. If you would like to use, share or reproduce any information or ideas from the linked files, be sure to cite the respective source. Here is a neat article that gives this site some inspiration. Acknowledgments. Subscribe to new postings . Return to Eddie's homepage. http://www.demog.berkeley.edu/~eddieh/toolbox.html#MedianCalculator

These tend to be US-centric, but there are universal tools here for statistical analysis.

Flare is an ActionScript library for creating visualizations that run in the Adobe Flash Player. From basic charts and graphs to complex interactive graphics, the toolkit supports data management, visual encoding, animation, and interaction techniques. Even better, flare features a modular design that lets developers create customized visualization techniques without having to reinvent the wheel. View the demos and sample applications to see a few of the visualizations that flare makes it easy to build. To begin making your own visualizations, download flare and work through the tutorial. You should also get familiar with the API documentation. Need more help? Visit the help forum (you'll need a SourceForge login to post). Flare is open-source software released under a BSD license, meaning it can be freely deployed and modified (and even sold for $$). Flare's design was adapted from its predecessor prefuse, a visualization toolkit for Java.

Highcharts Highcharts is a charting library written in pure JavaScript, offering intuitive, interactive charts to your web site or web application. Highcharts currently supports line, spline, area, areaspline, column, bar, pie, scatter, angular gauges, arearange, areasplinerange, columnrange and polar chart types.

WorldPublicOpinion.org WorldPublicOpinion.org is an international collaborative project whose aim is to give voice to public opinion around the world on international issues. As the world becomes increasingly integrated, problems have become increasingly global, pointing to a greater need for understanding between nations and for elucidating global norms. With the growth of democracy in the world, public opinion has come to play a greater role in the foreign policy process. WorldPublicOpinion.org seeks to reveal the values and views of publics in specific nations around the world as well as global patterns of world public opinion. WorldPublicOpinion.org was initiated by and is managed by the Program on International Policy Attitudes.

WHAT WE DO We build software that allows organizations to make sense of massive amounts of disparate data. We solve the technical problems, so they can solve the human ones. Combating terrorism. Prosecuting crimes. Fighting fraud. Eliminating waste. From Silicon Valley to your doorstep, we deploy our data fusion platforms against the hardest problems we can find, wherever we are needed most.

Google Correlate lets you see how your data relates to search queries Posted: 25 May 2011 11:27 AM PDT Influenza search - Google Correlate A while back, Google showed how Influenza outbreaks correlated to searches for flu-related terms with Google Flu Trends. It helped researchers and policy-makers estimate flu activity much sooner than with previous methods. Google Correlate is the evolution of Flu Trends in that now you can correlate search trends with not just flu cases, but with your own data or other search queries. The above, which you already know about, matches flu cases with searches for "treatment for flu." Similarly, the search phrase that correlates highest with "Toyota for sale" is "used Hyundai," as shown below. You can also see how your data is related geographically. For example, annual rainfall (left) strongly correlates with searches for "disney vacation package." Although, it looks like distance is a strong factor in the latter, which should be a reminder that correlation is different from causation. Google is careful to point this out in their FAQ and explanation of the tool. Nevertheless, it's fun to poke around and sometimes see the non-sensical correlations. For example, the strongest correlation with "flowingdata" is "how to scan a document," because the growth rates of both seem similar. There's also a search by drawing function. You draw a time series, and Correlate finds terms that best match that trend. In the below chart, I drew a line (blue) that had steady growth, but plateaued towards present day. What weird correlations can you find? [Google Correlate]

Hello, this is the Open Flash Chart project. Note: "Open Flash Chart 2" is LGPL. OK, Open Flash Chart 1.x was great and it works like a dream. But I made some little mistakes which over time grew and anyoyed me and made the source code weird. So I decided it was time to re-jigger the code and make it pretty again. The big change is moving the data format to JSON. This has made a big difference and has allowed some pretty cool new features. While I was hacking away at the source code I moved it all to Actionscript 3, and used Adobe Flex to compile it. This means everything is open source. If you want to make changes to the charts all you need is laid out in these instructions. Just because there is a new version doesn't make V 1.x obsolete. You can use both versions at the same time so leave your current working code in V 1.x and make all the new charts using which ever version you find easier to use. Why is V2 better? Well it uses JSON as the file format and this means you can do cool stuff like Grant Slender has: http://code.google.com/p/ofcgwt/ If you like Open Flash Chart and want to see it continue, please help Donate some money :-) Blog about it (promotion takes up about a third of my time) Write a cool library Really. You can make a massive difference to the project! Need help choosing reseller hosting for your charts? Make sure you read reliable web hosting reviews. Why choose Open Flash Chart? This is a little gentle propaganda for the project. Like all opinions, disregard it and make up your own mind. Edge cases such as tooltips encourage user interactivity and data exploration what happens to the tooltip when two points are in the same position? you can re-size the charts missing data save the chart as an image You can highlight or emphasize one (or many) points PC Pro loves open flash chart. Server Side Helper Libraries PHP, Perl, Python, Ruby, .NET, Google Web Toolkit and JAVA. Libraries. Next: Che

Zanran helps you to find 'semi-structured' data on the web. This is the numerical data that people have presented as graphs and tables and charts. For example, the data could be a graph in a PDF report, or a table in an Excel spreadsheet, or a barchart shown as an image in an HTML page. This huge amount of information can be difficult to find using conventional search engines, which are focused primarily on finding text rather than graphs, tables and bar charts. Put more simply: Zanran is Google for data. Language. English only please... for now. Phrase search. You can use double quotes to make phrases (e.g. "mobile phones"). Booleans. You can use a plus '+' to make a word mandatory, or a minus '-' to exclude it (e.g. +gas -oil production) Vocabulary. We have only limited synonyms - please try different words in your query. And we don't spell-check ... yet.

OpenData Open Data

if you go to the website testingbenfordslaw.com you'll see the proportions of each leading digit from lots of real-world datasets, graphed alongside what Benford's law predicts they should be, with data from Twitter users' follower counts to the number of books in different libraries across the US

The special trick that helps identify dodgy stats Using Benford's law, forensic statisticians can spot suspicious patterns in the raw numbers, and estimate the chances figures have been tampered with