Retrieve Sushi Data in Los Angeles from Yelp API and Create DataFrame

[limwualice]

Description:
We would like to utilize the Yelp API to retrieve data about sushi restaurants in Los Angeles and create a DataFrame for further analysis and visualization. This will help us gather insights and make informed decisions related to sushi dining in Los Angeles. We need assistance in implementing the API integration and DataFrame creation.

Here are the specific requirements and steps involved:

• Yelp API Integration:

  • Obtain the necessary access token or API key from Yelp to authenticate API requests.
    Identify the appropriate endpoint and query parameters to retrieve data specifically related to sushi restaurants in Los Angeles.
  • Implement the code to make API requests using the Yelp API and retrieve the desired data.

• Data Extraction and Transformation:

  • Parse the API response to extract relevant information such as restaurant name, rating, reviews, address, and other details.
  • Transform the extracted data into a structured format suitable for creating a DataFrame.

• DataFrame Creation:

  • Utilize a Python library like pandas to create a DataFrame with the extracted data.
  • Define the appropriate column names for the DataFrame to represent different attributes of the sushi restaurants.

• Data Analysis and Visualization:

  • Perform exploratory data analysis on the created DataFrame to gain insights into sushi restaurants in Los Angeles.
    Utilize data visualization libraries like matplotlib or seaborn to create informative charts and plots.