Cryptobismal

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  Team Pic

Inspiration

As a team we wanted to learn more about data science and learn about the careers that were associated with this skillset. We took this aspiration and turned it into a mindset that enabled us to learn more about python and data analysis through the provided workshops and labs.

What it does

Our team used the beginner track to analyze one of the data sets provided by the National Center for Health Statistics. We used the birth and parental information to find correlations between the different variables. We were able to complete as much as the first question on the beginner track, which answers what the data on the number of births in Texas says.

How we built it

We utilized our team to tackle the four different parts of this question separately in order to be more efficient and to explore our individual solutions. This enabled us to find parts of code we were able to reuse in our individually built scripts which allowed us to read data from our dataset to compare variables and perform graph analysis.

Challenges we ran into

Most of our team was fairly new to python which hindered our coding efficiency as was the same case when it came to looking at datasets. Some of us ran into network issues and took extended amounts of time to download certain files. As a result of such a large file set we were unable to open the file which necessitated learning a new software library, pandas. We were able to break up the file to better analyze the data provided. Graphing was also a new skillset that required a learning curve. With the help of the mentors and our team support, we were able to overcome these challenges and provide the graphs that you now see.

Accomplishments that we're proud of

We are incredibly proud of our stamina, dedication, and many new skillsets. Most of us have little to no experience with these techniques, such as pandas, so to be able to supply a submission at all shows how successful and valuable this event was to our team and our futures. We are also, very proud of our new connects to our peers and future professional colleagues.

What we learned

A very important thing we learned was patience and dedication particularly when frustrated and sleep deprived. We upgraded our python skills to a more intermediate level using pandas and spyder.ide. For our team, datafeeds were especially useful for easier access to our information, which we learned from the mentors.

What's next for Cryptobismal

Our team is definitely ready for more challenges and future hackathons/datathons. We look forward to future events to further sharpen our skills and network.

Built With

• andaconda
• datafeeds
• pandas
• python
• spyder