Kate Golden of the Wisconsin Center for Investigative Journalism had a hunch that Wisconsin cows were something special. Taking a look at some National Agricultural Statistics Service data, she found that despite a nearly constant decrease in the number of cows on Wisconsin dairy ...
Adult diabetes and obesity are two of the most pressing concerns in America today. Taking the USDA's Activity Rates and Health Living dataset, Annette Greiner has made this in depth visualization to call attention to the problem.
Ever wondered why obesity is such a problem in the United States? This is an interactive visualization which shows the correlation between three activities and obesity by county. Every county in this visualization has obesity rates above the worldwide average.
Panoptical uses Tableau to re-visit John Snow's classic mapping of the 1854 Cholera outbreak in London. Click on the image to view the viz and experience the breakthrough use of public health data to save lives.
George Gorczynski from Tableau Picasso looks at the differences in global attitudes towards various moral issues. Use the filters to drill down on different countries and see what actions people find morally unacceptable.
After her husband was diagnosed, Donna Coles was inspired to lay out the facts on prostate cancer in the UK. Click the screenshot to view the viz, and then click through the story points to learn how prostate cancer affects men of all ages.
Matthew Cole of The Star shows the water lead content testing results by post code in Toronto. Click on the screenshot to view the viz, then filter down to the first three digits of any post code to see the water lead content of all post codes within that group.
This viz by Anya A'Hearn of DataBlick and Allan Walker illustrates the stairs of San Francisco to benefit the American Lung Association. Click on the visualization to explore the different staircases around the city on Anya's blog.
This viz by Siraj Alimohamed of Thorogood examines the topic of e-Cigarettes, showing their current legal status in various countries around the world and visualizing the discussion on social media. Use the region filter to focus on one particular part of the world.
Click to ...
Jenn Wylie of OpenBI examined the nutrition of some of her kids' favorite foods. Use the calculator at the bottom of the viz to see how the meals you've fed your kids today stack up against the recommended nutrition values.
This series of vizzes by John Kelly of USA Today and Emily Le Coz of the Clarion-Ledger explores the state of nursing home care in the United States. Use the filters to focus on a specific area or nursing home, and use the tabs to get even more information about inspections and ...
Ramon Martinez of Health Intelligence visualizes the prevalence of hypertension in the United States. Explore the different levels of hypertension by state and county, and use the filters to view the data by gender, race and year.
ESPN shows us the highest paid athletes from around the world, organized by country. Manny Pacquiao of the Philippines leads the world, with an annual salary of $52 million. Use the filters at the top of the dashboard to see the top athletes by year, gender, location or sport.
Guy Blake of Moor Consulting shows the Pareto analysis of prescription drug usage and the cost to England's National Health Service. Switch tabs to see the specific drugs prescribed for each medical condition.
This viz by Ben Sullins allows you to explore the dramatic range of medical costs in America as revealed by the recent data released by the Centers for Medicare and Medicaid Services. Use the filters to explore specific procedures, or focus your search on certain states or regions. ...
Ramon Martinez of Health Intelligence created this viz displaying every registered meteorite that has impacted on Earth. A total of 34,513 meteorites has been registered, most of them (33,277 meteorites, 96% of total) with a mass less than 10Kgs.
Ramon Martinez of Health Intelligence illustrates the rate of mortality over the past 40 years for the world. Explore different subsets of the data to see which gender, age group or region has the greatest and smallest mortality rate.