RunQL CxC

Inspiration

CxC Hackathon

What it does

• A dashboard that gives graphs and insights about the data (based on hackathon prompts)
• Code used to clean, preprocess, and analyze the actual data
• A report that explains the project

How we built it

• Explore, clean, and aggregate the data on runql website using SQL and Python libraries like Numpy and Pandas.
• Make graphs to visuallize and get insights into the data using Python libraries like Matplotlib, Seaborn, and Plotly Express.
• Make a dashboard for others to reproduce our results, available in "Try it out" link section below. The dashboard used Dash (Python Library) to make it interactive.

Challenges we ran into

• Time constraint
• Too little data, no clear trends

Accomplishments that we're proud of

• We finished our report and dashboard!

What we learned

• Python and Sql skills
• Data Analysis and Manipulation
• Making Dashboard (no team member had ever done it in Python before!)
• Teamwork!

What's next for RunQL CxC

• Wait for the prize (hypothetically)

Built With

• python
• sql