SafeGraph February 2022 Datathon
Please join the datathon group here if you are interested in participating.
SafeGraph Datathons allow members of the community to work on mini data science projects using SafeGraph data.
Our focus for this datathon will be using SafeGraph data to look at interesting trends during the month of February, specifically focusing on select POIs that are more associated with Valentine’s Day.
Across the country, millions of Americans purchase gifts for their partners in February. Los Angeles residents spend the most on Valentine’s Day compared to any other city in the US.
For this Datathon use SafeGraph’s Core Places and Patterns datasets of Jewelry Stores and Florists in Los Angeles, identify interesting trends to these POIs. Feel free to use any alternative datasets provided by SafeGraph to help with your analysis.
Winner’s of the February 2022 will receive:
- $200 gift card
- SafeGraph swag
- Project featured on SafeGraph site
This challenge will feature two of our flagship datasets, Core Places and Patterns.
SafeGraph’s Core Places data provides baseline information for every record in the product suite, including location name, address, lat/long, category, brand, and more.
Our Patterns dataset includes visitor and demographic aggregations for points of interest (POIs). This contains aggregated raw counts of visits to POIs from a panel of mobile devices, answering how often people visit, how long they stay, where they came from, where else they go, and more.
Teams may also find demographic information from the US Census and American Community Survey data helpful. You can download that data from SafeGraph here.
Access the dataset in the popular searches section in the SafeGraph Shop. Please ensure you have an account and note that your credentials will work to log into the shop and this community.
Go to the SafeGraph Community to get help from experienced SafeGraph users. By now, you should have an account with the SafeGraph Shop. You can use the same credentials to log into the Community.
To see common questions from our users, go to the Help category. If you have a question, try searching in the Community before starting a new topic.
You can see the full schema and other important details for each dataset here:
This repository of tutorials and demonstrations help data scientists get value faster with SafeGraph data. Topics include panel normalization, common use cases for SafeGraph, how to integrate SafeGraph with data science platforms, and more.
To submit your projects, please share your work in the Community Datathons Category category. Create a new topic for your submission and please include:
- A brief overview of your project.
- Link to Google Colab/Jupyter notebook of your code and process.
Projects will be judged on the following:
- Technology (quality of code, technical and analytical skills demonstrated)
- Applicability (potential to make positive impact)
- Creativity & Innovation (novelty of the approach)
- Presentation (quality of submitted slide deck)