The CSV and RDF versions of the 2007 data can be downloaded from here.
Each year the Occupational Safety and Health Administration (OSHA) collects work-related injury and illness data from employers within specific industry and employment size specifications. This data collection is called the OSHA data Initiative or ODI. The data provided is used by OSHA to calculate establishment specific injury and illness incidence rates.
The dataset itself is available at the bottom of the page - "Download the data."
This page is a competition among data analysts/mathematicians to produce the most accurate predictive model, based on historical hospital admittance data, for finding people likely to enter a hospital in the next year - Giving preventative medicine a leg up by statistically determining the at-risk patients and decreasing the cost of care. Super cool!
"anyqs"
Where are they getting the data for the music? Most listened to on radio? Pandora? Youtube searches?
Also, what does the size of each square represent?
This is a really cool visualization. I spent some time playing with the different layers and you can really see the different trends in music throughout history. Most are what you would expect, i.e. predominance of jazz and classical music pre-1950, rock and roll taking over after about 1950. I'm curious about how the genres were designated. Sorting music into genres isn't always so neat since there can be overlap. For example, James Brown is listed under funk but he is also "the godfather of soul". It would be interesting to know some demographic information such as the age groups that tend to like certain music.
anyqs
anyqs
Is there any definition to the points above and below the "x-axis"?
Were these the Top 10 chart hits for these various years, or where did these songs come from? In my opinion, there is a strong lacking of representation for popular country in recent years, as country music has gained popularity in the past decade and a half, or so.
Finally, where are the definitions for these genres coming from? For example, I'm not entirely sure I'd classify Rihanna as an R&B musician.
*By having the size of the dot represent the amount of times it was favorited and its location on the y-axis represent its popularity aren't you factoring in how well liked the song is multiple times?
How do you differentiate between pop and vocal pop, or any two genres for that instance?
Can a song be counted in multiple genres?
anyqs
I was planning on bookmarking just one of these, but this page has a list of seriously cool and diverse data visualizations ranging from interconnectivity of the web to the history of Great Britain.
The actual dataset can be accessed through this link.
Total tonnage and tonnage by traffic type (in short tons of 2000 pounds) of commodites carried on commercial waterways, where the origin and destination of the cargo movement was a location in the contigous 48 states, Alaska, Hawaii, Puerto Rico, the U. S
Has a couple of videos with very detailed data visualization techniques employed by the New York Times to monitor the way their social media articles propagate through the internet. It evolves with time and shows many variables including the number of user's reading it and their locations.
There seems to be a trend that the lower income bracket prefers beer and the higher income bracket prefers wine. What I find interesting is that all incomes prefer liquor equally. I wonder why this is true?
Also it says that last year they surveyed people about their preferences but where did they get the data for previous years?
Lastly, it states no information on how reliable the data is or what method of sampling was used.
anyqs
anyqs: I would like to know how big the sample size was. Also, how many of the participants are actual college students? I'd like to see the data on purely college students.
anyqs: I would definitely like to see some more info on this, the things mentioned above as well as what N/A actually means. Does it mean non drinker? Also I'm guessing that they did not poll anyone under 21. I think there's more non-drinkers than drinkers under 21 but including that group would certainly change things (most likely lessen the wine numbers). Finally, it's not a big deal but the 36% for beer in 2011 appears higher up on the graph than the 36% in 2005.
anyqs
How did they calculate the percentage?
As far as I know there is no accurate way to determine exactly the percentage the market share of browser. So, I want to know their standards on their way of counting.
Besides that, what does the empty space represent?
Moreover, do they include all kinds of devices (laptop, phones, TVs, desktop, ...etc) or just laptops? And if so, how did they distinguish between them in their study?
:)
I'd like to imagine that mobile browsing was done mainly on iPhones as at 2009, the latest date on the graph. Did that contribute to Safari's market share? If it did, were other mobile browsers counted as well? Also, how exactly is the data gathered? It mentions w3schools, the web consortium, but doesn't mention how they (w3schools) get their data or from whom, and what kinds of devices are polled.
anyqs
I would like to see the more information on how they collected this data and what it applies to. As James said, mobile browsers are distinguishable from others (from something called the User Agent in the browser), but I could go into my Opera browser on my Android and change the User Agent to 'desktop' and trick the website into thinking that a desktop viewed it. I would imagine that if w3 were to pull from their website, it would be heavily biased towards non-mobile browsers, as people would prefer to learn on a more comfortable screen.
The article examines the operative mortality in surgical programs from resource-limited settings. It concludes that surgical care can be provided safely in resource-limited settings with appropriate minimum standards and protocols.
The data sets can be found on pages 2 and 3.