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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.

None of the files are mandatory to complete the tutorial, however, you may find them of use for reference during the tutorial.

Available Files:

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.

Although the tutorial can be completed in a range of Python environments, the use of Jupyter Notebook within JupyterLab is highly recommended.

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