Data Visualization and Beat Research Gathering
10 data driven stories
A new school app lets students input their materials to be able to find cheaper or more sustainable options.
An MIT class developed a program that maps cityscapes and plans ways to make the city self sustaining, it’s been implemented in different cities both in the nation and overseas.
The data from three cities, Adelaide, Stockholm, and San Francisco, about their Zero Waste system implementation.
New York City’s learning from San Francisco’s Zero Waste System to make New York City self sustainable by 2030, this has more financial data.
The UK established a solar panel farm in 2015 and the data collected over the year showed that energy and money has been saved, really good graph and photos.
Powerhouse, a self-started sustainability company is trying to make solar energy the most accessible form of energy in the world, most of the data is financial.
The research on a newly designed solar cell shows that the efficiency 30%!
A lot of statistics about how much sustainability has changed the face of energy.
Google’s plan partake in a Zero waste system, 100% of the waste is going away from landfills.
NYC’s plan to be Zero Waste Sustainable by 2030, has links to other data sets.
3 Data Visualizations Analysis
This summer was greenest ever for energy, says National Grid:
I found this grid to be easy to read and simple piece together to the article’s central point about the lowering of CO2 Emissions. Through the colors on the top and the numbers beside them, you can easily see how the emissions decline over the years. It answers some questions I have about why the emissions are high in some months (October — May is because the those are the colder months that require more energy to warm homes) and I can gather this information through the x-axis. The only problem is the y-axis, the numbers are about carbon “intensity” but it’s not a unit of measurement I can grasp. If it was defined as megawatts it’ll be easier to comprehend. One megawatt can power roughly around 1,000 homes.
Urban sustainability: Designing resource-efficient, appealing cities
One of the other articles I read and have kept up on is about a program that gathers information on cityscapes, particularly where the sun and it’s rays are most likely to hit and stay hitting for a number of hours throughout the day. The program maps that heat spot so that architectures can understand the smartest place to put solar panels. The program also assists in calculating how much money solar panels cost to purchase, install, and the payout timeline. I thought that was an interesting way to show information even though I guess it’s technically not graphed in the standard sense.
This is the same article but a different data set that shows the temperature prints of a small town that the program was used at. The heat spots and cold spots were helpful to the program because it graphed how much potential energy the buildings would use in different times of the season and day. I liked this graph because the colors represent something that’s easy to understand without having to read the bottom title (red = heat, blue = cold). And the gradient in the bottom gives a good indication of the levels of air temperatures.
This is the last set of graphs, this is an interactive graph that showed how much energy was conducted on Harvard’s campus based on the building type. This website also has different modes that can graph the same set of information differently, such as a bar graph:
Staggered and icon graph:
And then there’s another interactive graph that shows the systems placed on Harvard campus.