Data Science Resources

This repository of tutorials and demonstrations help data scientists get value faster with SafeGraph data. These are sorted by topic, so you can find help with panel normalization, common use cases for SafeGraph, how to integrate SafeGraph with data science platforms, calculating differences, and more!

See also, the Awesome SafeGraph Data Science Github list for technical resources for working with SafeGraph data provided by the broader data science community.

Getting Started with SafeGraph Data


Blog Resource

Demo Resource

Core Places in Python

Neighborhood Patterns & Retail Site Selection

Use polygons from Geometry to do Visit Attribution

Get Started With Open Census Data

Do Point-In-Polygon Geospatial Joins

Calculating Differences Between Different Core Places Releases

Validating SafeGraph Open/Close Data for Brands

Parsing JSON Columns

Visualizing SafeGraph Data


Blog Resource

Demo Resource

Quickly Visualize SafeGraph Data On A Map

Quickly Visualize a Census Block Group On a Map

Visualize Retail Catchment Areas with SafeGraph Patterns

De-clutter Your Maps With Simple Outlier Filtering

Quickly Map SafeGraph Places Data with an Interactive App

Panel Normalization for Longitudinal Analysis, Sampling Bias Corrections, and Extrapolation

Common Use Cases with SafeGraph Data


Blog Resource

Demo Resource

Analyze Demographic Profiles From SafeGraph Patterns Data

Calculate Point-Of-Interest Square Feet From SafeGraph Geometry

Calculate Statistics and Confidence Intervals from SafeGraph Patterns

Using Store ID to Join Transaction Data to Core Places and Patterns

Correlate 1st-Party Store Data with SafeGraph Patterns

Calculate Fire and Co-Tenancy Risk for Insurance

Using a Bayesian Hierarchical Model to Estimate County Stay-At-Home Rates

Using SafeGraph Weekly Patterns Dataset to Serve as a Proxy for Discontinued Social Distancing Metrics

Integrating SafeGraph with Data Science Platforms


Blog Resource

Demo Resource

Use SafeGraph Patterns With CARTO

Use SafeGraph Patterns in Databricks (With AWS)

Building Reliable Data Pipelines for Machine Learning (Webinar)

Using SafeGraph Patterns With Snowflake + Tableau

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