13. Gather (Summary)

Summary: Gathering Data

Congratulations! You've conquered the first step of data wrangling: gathering data . For this dataset, this meant:

  • downloading a file from the internet, which in this case was a zip file from Kaggle,
  • opening a Jupyter Notebook,
  • unzipping the zip file using Python,
  • then importing the extracted CSV file into a pandas DataFrame in the Jupyter Notebook.

You will frequently put these skills that you’ve acquired to frequent use in your data career.

In lesson 2 , you'll gather data using more advanced methods, like downloading files programmatically, scraping data from web pages, and accessing data from an API. You'll learn how to handle the next most popular file formats beyond CSV, like HTML, JSON, text files, and databases.

Data Wrangling Walkthrough Checklist

For now, we'll move onto the next step in the data wrangling process: assessing data.

  • Gather ✓
  • Assess
  • Clean

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