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# Using Python for Data Analysis | ||
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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/). | ||
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**The following files are included:** | ||
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- `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. | ||
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Note that although you can complete the tutorial in various Python environments, using Jupyter Notebook within JupyterLab is highly recommended. |
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