We did a quick search for “factory farm data” on data.world and came across data on Michigan factory farms.
It was a promising start, but we needed data for the entire country. And so, the painstaking data collection process began. We searched for data for each state individually, as well as by regions and nationally. Eventually, our research stopped yielding new results. We then published the final dataset on data.world.
CAFO dataset created by Data for a Cause
Next, Data for a Cause volunteers dug into the dataset to create data visualizations that displayed factory farms across the United States. In total, seventeen data visualizations were created by volunteers from all over the world.
Data visualizations submitted by volunteers from all over the world, including the US, the UK, Romania, France, Poland, India, Denmark, Australia, and Guatemala
We passed our work on to The Humane League, a nonprofit organization that advocates for animal welfare and petitions companies to adopt progressive welfare standards. They will belgium whatsapp number data use our data visualizations to communicate the issue more effectively.
How you can help
A lot of the data about factory farms isn’t publicly available. We posted a message ‘into the future’ on data.world, in the hope that, as more data becomes public, other data.world members will add to the dataset.
The best part about this project is that it does not have an end. Anyone can use the dataset we created in their own projects.
Some people have already started doing so, creating apps to advocate healthier food from more humane farms.
This is just one of eight data visualization challenges we’ve done. Are you ready to put your skills to work for a good cause? Sign up to join the Data for a Cause Challenge to contribute to the next project.
If you’d like to learn how data.world can make your data teamwork easier, faster, and more collaborative, check out data.world for teams and request a demo.