Inspiration
For most of our group members, we were inspired by Dr. Gutierrez, our Department Head of Mathematics. He introduced a few of our members to the data set early, giving us a slight advantage, but nonetheless a difficult challenge.
What it does
Our project aims to analyze the differences in birth weights along with birth mortality across various counties within Texas.
How we built it
Using Python and its libraries such as Pandas, OS, TensorFlow, and Matlplotlib, we aim to mathematically compare counties and their birth weights, specifically underweight babies along with fetal deaths amongst gestation weeks of the mother.
Challenges we ran into
One visual challenge we ran into is the creation of heat maps. Along with other groups, individuals from our group had trouble pulling the data to work with, so we worked around those who were able to pull the data and delegate tasks to keep us moving.
Accomplishments that we're proud of
While we weren't able to go far in our challenge, we were proud that we were able to keep pushing forward with the problem tasks of understanding and capturing the projections of our data.
What we learned
It takes a lot of planning and asking for help when stuck, but perseverance and working one question at a time allowed us to keep moving forward, even if we weren't able to fully tackle our goal of accomplishing all of the advanced questions.
What's next for Analyzing the Socioeconomic Facors of Childbirth
Most of us are Applied-Industrial Math graduates so we will eventually again have to analyze data and dive into more applied topics and projects of both math, computer science, physics, statistics, and much more.
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