Project overview
In this project, you’ll assume the role of a data analyst tasked with extracting solar resource data for New York City using the Data Gov API. You’ll apply your skills in API querying, JSON parsing, and data structure manipulation in R to retrieve the data and convert it into a suitable format for analysis.
This hands-on project allows you to combine the key concepts covered in the APIs and Web Scraping in R course, providing practical experience in extracting and preparing real-world data from web APIs. You’ll gain valuable data wrangling skills as you work through the challenges of parsing complex JSON responses and converting nested list structures into a dataframe.
Objective: Use R to extract New York City solar resource data from the Data Gov API, parse the JSON response, and convert it into a dataframe for analysis.
Key skill required
To complete this project, it's recommended to build these foundational skills in R
- Querying data from external APIs
- Making API requests in R
- Parsing JSON responses from APIs
- Working with the JSON data format
- Authenticating with APIs that require authentication
Projects steps
Step 1: Introduction
Step 2: Finding the Suitable Endpoint and Parameters to Query the API
Step 3: Extracting the New York Solar Resource Data
Step 4: Parsing the JSON into an R Object
Step 5: How to Create a Dataframe from a Complex List
Step 6: Building a Dataframe from a Complex List
Step 7: Extracting a Dataframe from a Complex List
Step 8: Putting It All together
Step 9: Visualizing New York City Solar Resource Data
Step 10: Next Steps
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