Exploratory Data Analysis with Python Cookbook by Ayodele Oluleye

Author:Ayodele Oluleye
Language: eng
Format: epub
Publisher: Packt Publishing Pvt Ltd
Published: 2023-06-07T00:00:00+00:00

Getting ready

In this recipe, we will work with one dataset: San Francisco Air Traffic Passenger Statistics data from Kaggle.

Create a folder for this chapter and create a new Python script or Jupyter Notebook file in that folder. Create a data subfolder and place the SF_Air_Traffic_Passenger_Statistics_Transformed.csv file in that subfolder. Alternatively, you could retrieve all the files from the GitHub repository.

Note

Kaggle provides the San Francisco Air Traffic Passenger Statistics data for public use data at https://www.kaggle.com/datasets/oscarm524/san-francisco-air-traffic-passenger-statistics?select=SF_Air_Traffic_Passenger_Statistics.csv. However, for this recipe and others in this chapter, the data was aggregated to give only the date and the total passenger count. The original and transformed data are available in the repository.

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