# 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](https://realpython.com/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.