Thomas Suh Lauder over at the LA Times posted this amazing data visualization on how each district in California is utilizing our precious water. the Governor wants to cut water usage by 25% by 2016. Maybe those people who live next to us will finally stop pressure washing their building!!!
Anyhoo, we put our own zip code in the field and turns out that in comparison here in SF we’re not doing too bad (always could be better). Each resident of the San Francisco Public Utilities Commission used, on average, 44 gallons of water a day.
When we looked at nearby areas:
When you compare that to the zips that use the least and the most? Santa Fe District just gets too dang hot!
Check out more dataviz that we find here!
Since we’re data geeks here at Dasheroo we search out the best of the Web to find some great data visualizations for you and thanks to Flowingdata (we go to these gurus first to find our great examples of dataviz done right!) they pointed out that the New York Times had a great post about the 2016 Presidential candidates and when they entered the race. They also go on to show by days gone by who the winning candidates were and when they entered the race based on how many weeks were left.
The killer here is that this election cycle has the most candidates expected to run ever. Sixteen in total while the left has a mere 5. What’s up with that? Well it’s more than when Gore ran against just one competitor in 2000.
Get more of this awesome data by election year going back to 1972. Some may surprise you. Reagan was last in the race with just 50 weeks to go and he screamed ahead for the win while Hillary and Barack started 80 weeks out. Who knew?
Get more amazing dataviz we find here.
Thanks Flowing Data for bringing us the awesome interactive dataviz from Lewis Lehe, PhD candidate in transportation engineering, that answers a city-dwellers age-old question: why the hell do buses bunch up at a stop?
Simply click fast on one of the buses to show a short delay and you’ll see how the bunching begins.
Click here for more awesome dataviz we find on the web!
Lorena Elebee over at the LA Times did a pretty cool data visualization that shows over the past 3 months that El Niño might just be cooking up a bit (which we like!) Click to check out all three months.
More cool dataviz we find here!
We love anything that Information is Beautiful puts out and this one takes the cake! They took the idea of the Internet of Things (IoT) and explained it in one lovely data visualization. Thanks guys!
It’s interactive so make sure you click around and see how buildings, cars, houses, people and everything relates to the Internet.
More amazing dataviz we find is right here!
Thanks to Flowingdata we got a great dataviz of Subways all over the U.S. compared to other sandwich restaurants. Holy moly! The ginormous franchise dominates it’s closest competition Arby’s 43,000 restaurants to a mere 3,300. Click on the map to go deeper, it’s amazing.
Get more great dataviz we find right here!
Whoa, we stumbled across this LA Times crazy dataviz from the U.S. Geological Survey who unveiled this map of earthquakes. The interesting part was that they thought the earthquakes could be triggered by human activity!
How can this be? “…officials are coming to terms with the idea that wastewater disposal following oil and gas extraction is causing more earthquakes. Hydraulic fracturing, or fracking, involves shooting a high-pressure mix of water, sand and chemicals deep underground to extract oil and natural gas. The resulting wastewater is often forced underground as well, but can trigger earthquakes on faults that haven’t moved in a very long time.”
What a huge growth since 2012 to 2014! Great dataviz, not-so-great news.
See more dataviz we find here!
The greats over at Five Thirty Eight have done it once again, broke down a series of data into a readable, understandable dataviz of how Willie Mays is a better all-around baseball player than Alex Rodriguez. What you say? A-Rod just passed the Say-Hey Kid on the all time the home run leaderboard taking over 4th place. Well Neil Paine took data from a bunch of different data sources and broke it down as follows:
Sexy and interactive? No, but it gets to the point very fast!
Check out more dataviz we find on the web here.
Props to Texas, it’s where Dasheroo development happens, and we love our Austinite buds! My San Antonio shows just how big this state is compared to other parts of the U.S in this awesome dataviz.
Check out other data visualizations we find here!
Since we’re days away from launching Dasheroo we couldn’t think of anything better than to show you what our developers go through. Thanks Buzzfeed!
See more of amazing dataviz we find here!