/numerical-calculation-database-analysis

Semiannual project on the subject of Numerical Calculus, taught at Centro Universitário FEI. It consists of analyzing the database.

Primary LanguageJupyter NotebookMIT LicenseMIT

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Table of Contents
  1. About The Project
  2. How To Run

💻 About The Project

Semester project for the subject of Numerical Calculus, a subject taken at Centro Universitário FEI. It consists of analyzing a database

1 - Read - It reads the database, eliminating duplicate data, NAN and missing data.

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2 - Linear Regression - Performs multiple linear regression and graphing the regression.

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3 - Regression Coefficient - Determine the coefficient of determination R2 of the multiple linear regression.

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4 - Pearson's correlation coefficient - Calculates the Pearson correlation coefficient.

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5 - Spearman's correlation coefficient - Calculates Spearman's correlation coefficient.

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🚀 How To Run

# Clone the repository
$ git clone https://github.com/antuniooh/numerical-calculation-database-analysis.git

# Access the project folder in your terminal / cmd
$ cd numerical-calculation-database-analysis/src

# Install the libs
$ python -m pip install -U pip
$ python -m pip install -U matplotlib
$ python -m pip install -U numpy
$ python -m pip install -U pandas

# In both Windows and Linux, the execution is done by executing the following line in the terminal, or using an IDE of your choice.
$ python main.py

The .ipynb file can also be run on your preferred platform like Jupyter Notebook, Google Colab and the like, just import the "main.ipynb" file and run.

🤖 Authors

Antonio Gustavo Henrique Vital Felipe Moreno
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22.119.001-0 22.119.078-8 22.119.058-0