World Development Indicators vs UN Human Right Treaties

Inspiration

I wanted to see there was any correlation between the US's lack of interaction/ratification with the rest of the world. This original idea was expanded into this project.

What it does

It analyzes the world development indicator data and UN human rights treaty data and whether or not there is a correlation, and if a machine learning algorithm can be created from it.

How we built it

I used python, matplotlib, seaborn in the code. I used JupyterLab to do the majority of the coding.

Challenges we ran into

The cleaning of the data and combining the multiple datasets into one plot was a significant amount of work and was a challenge. In addition, some of the visualizations took a while to figure out the best way to present the information.

Accomplishments that we're proud of

I'm very proud of the first heat map between # of signatures and ratification as that took a while to think about how to present that data and then configure the dataset into a format that could be used to create it.

What we learned

I learned a lot about how to accurately clean data and present it. Even approaching how to do both these things was a good process and test of my critical thinking/problem solving skills.

What's next for World Development Indicators vs UN Human Right Treaties

More indicators and treaties can be analyzed. Time could also be an added dimension to look at.

Built With

• jupyterlab
• python