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.