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data-analysis

Using Python for Data Analysis

This folder contains completed notebooks and other files used in the Real Python tutorial on Using Python for Data Analysis.

The following files are included:

  • data_analysis_findings.ipynb is a Jupyter Notebook containing all the code used in the tutorial.
  • data_analysis_results.ipynb is a Jupyter Notebook containing the final version of the cleansing and analysis code.
  • james_bond_data.csv contains the data to be cleansed and analyzed in its original form, in CSV format.
  • james_bond_data.json contains the data to be cleansed and analyzed in its original form, in JSON format.
  • james_bond_data.parquet contains the data to be cleansed and analyzed in its original form, in parquet format.
  • james_bond_data.xlsx contains the data to be cleansed and analyzed in its original form, in Microsoft Excel format.
  • james_bond_data_cleansed.csv contains the cleansed data in its final form.

Note that although you can complete the tutorial in various Python environments, using Jupyter Notebook within JupyterLab is highly recommended.