Aleksey Korshuk

"My GitHub repository quickly filled up with impressive projects, showcasing my hard work and all that I've learned."

Aleksey Korshuk

Machine Learning Engineer & Researcher

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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