Inspiration: To connect global warming's negative effects to something easily understood to a mass audience.
What it does: Opens a graph and a short report on the findings and insights from the data.
How we built it: We used python to clean and merge two csv files and then export it into a graph.
Challenges we ran into: We ran into the challenges of finding data that fits the same time frame and encompassed the majority of countries.
Accomplishments that we're proud of: Cleaning the data and formatting it properly so it can be used in a chart.
What we learned: We learned how to do data cleaning. merging and create graphs in python.
What's next for Trend between temperatures and hunger index scores: What's next is to further isolate countries that would be most disadvantaged by global warming, such as countries closer to the equator.
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