How Poverty and Education Correlate

All of our first datathon, we did it in intermediate. We used data science libraries like numpy, and matplotlib to make data vizualization

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Inspiration

With the rise of AI we were interested in joining the Datathon in order to see how we could use Data Science in Real life applications

What it does

How we built it

We cleaned up the dataset, and did data vizualization

Challenges we ran into

setting up SQL

Accomplishments that we're proud of

Finished all of the intermediate steps, and were able to learn how to combine SQL with python and its data science libraries

What we learned

Learned about SQL and hot it integrates on python

What's next for How Poverty and Education Correlate

we would like to make the SQL server remotely accesibly and make it a fully deployed setup

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Updates

posted an update —

Being one of the beginner level members, I helped rake through databases for specific information that would be geared towards the projects purpose, I also assisted one of the more experienced team members with structuring how he would put together the code for the last step in the project. My biggest challenge was just to be useful to my team members while having such little experience in any of the project.

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posted an update —

As one of the lower experienced members, I studied the Data File information and checked for anomalies in the data, and talked through the logic with my team. Having to adapt to support python data basing and finding a way to support my more experience team was my biggest challenge, which was overcome with better communication and doing tasks that supported them.

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