The Calculation for Year of Graduation project is a data analysis project aimed at calculating the year of graduation for a group of individuals based on certain criteria. This README provides an overview of the project, instructions for using it, and details about the provided files.
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Calculation for Year of Graduation.ipynb: This Jupyter Notebook contains the main code for data analysis and the calculation of the year of graduation. It's where you can see the logic and calculations applied to the data.
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Calculation for Year of Graduation.xlsx: This Excel file likely contains the dataset used for the calculations. It may contain multiple sheets, each with data relevant to the year of graduation calculation.
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Final Lead Data.xlsx: This Excel file probably contains the final results or lead data, including the calculated year of graduation for each individual.
To use this project:
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Clone the Repository: Start by cloning this repository to your local machine.
git clone https://github.com/yourusername/Calculation-for-Year-of-Graduation.git
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Explore the Jupyter Notebook: Open and run the Jupyter Notebook (Calculation for Year of Graduation.ipynb) to understand how the calculations for the year of graduation are performed. Ensure you have Jupyter Notebook installed.
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Review the Data: Examine the provided Excel files (Calculation for Year of Graduation.xlsx and Final Lead Data.xlsx) to understand the structure and content of the dataset. This will help you understand the input data and the results of the year of graduation calculation.
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Modify and Extend: If needed, you can modify the Jupyter Notebook to adapt the calculations for different datasets or criteria. You can also use the code as a reference for similar calculations in other projects.
The dataset (Calculation for Year of Graduation.xlsx) likely contains information about individuals and the criteria used to calculate their year of graduation. Common columns might include:
- ID
- Frist Name
- New College Name
- Academic Year
- What is your current academic year?
- Graduation Year (Output Variable)
Ensure that you understand the meaning of each column in the dataset before working with it.
The specific license for this project's code and data is not mentioned in the repository. If you are the owner of the repository, consider adding a license file (e.g., MIT License) to clarify how others can use, modify, and distribute the code and data.