Inspiration
We were inspired to do this project by observing the alarming decline of pollinator populations over the years. Particularly, the Monarch Butterfly which holds many strong values in Texas and is a main pollinator. Our goal is to understand and address the issues relating to their decline.
What it does
Our project tracks various pesticide concentrations per state and creates a color map of it, this allows us to easily analyze the various chemicals that are used in each state. Additionally, we created a program to create a barplot and CVS file from an online table relating to the Sightings of Monarch Butterflies.
How we built it
We used Python to scrape data from various sources, processed the data into CSV files, and created a color-coded choropleth map to visualize pesticide concentrations and butterfly migration routes. We also used Excel to better track each data entry.
Challenges we ran into
We faced challenges in data accuracy, integrating multiple data sources, and ensuring the map’s readability and usability. We also ran into problems with CODAP, which performed worse than Python for running thousands of data entries, this led to us adopting Python to analyze the data.
Accomplishments that we're proud of
We’re proud of successfully creating an informative and visually appealing map that highlights the concentration of pesticides and in contrast, the pollinator populations to better understand the impacts.
What we learned
We learned about the complexities of data integration, the importance of accurate data representation, and the significant impact of environmental factors on pollinator health. We also learned how to better use Excel and Python for Data Science.
Log in or sign up for Devpost to join the conversation.