Iris Dataset Statistical Analysis

Project Description

This project involves reading data from a file named "Iris.csv," performing statistical calculations using various functions, and writing these calculations to a file.

Files

• Iris.csv: Contains information such as "Id, SepalLengthCm, SepalWidthCm, PetalLengthCm, PetalWidthCm, Species."
• main.c: The main source file of the project. It handles reading data, creating matrices, performing statistical calculations, and writing results to a file.
• matrixLib.c: Contains the implementation of functions for matrix operations and statistical calculations.
• matrixLib.h: Header file containing function prototypes and necessary definitions.
• Makefile: Makefile for compiling and running the project.

Functions

main.c

• verileriDiziyeDoldurVeYazdir: Reads the data from the "Iris.csv" file and stores it in an array.
• dizidekiVerileriMatriseEkle: Adds data from the array to a 150x4 matrix.
• yeniBirDosyayaOzellikYazdir: Performs statistical calculations on the feature matrix and writes them to a file named "IrisStatistic.txt."

matrixLib.c ve matrixLib.h

• returnVector: Creates a vector of specified size.
• returnMatrix: Creates a matrix of specified rows and columns.
• freeMatrix: Frees the dynamically allocated matrix.
• mean: Calculates the mean of a vector.
• covariance: Calculates the covariance between two vectors.
• correlation: Calculates the correlation between two vectors.
• matrixMultiplication: Calculates the product of two matrices.
• matrixTranspose: Transposes a matrix.
• rowMeans: Calculates the row means of a matrix.
• columnMeans: Calculates the column means of a matrix.
• covarianceMatrix: Calculates the variance-covariance matrix of a matrix.
• determinant: Calculates the determinant of a matrix.
• printVector: Prints a vector to the screen.
• printMatrix: Prints a matrix to the screen.

Usage

Place your project files in a folder and then follow the steps below in the terminal or command prompt:

1. Compile:

   make program

2. Run:

   make run

Statistics and Results

After running the project, a file named "IrisStatistic.txt" will be created. This file contains the following statistics:

• Mean values of SepalLengthCm, SepalWidthCm, PetalLengthCm, and PetalWidthCm features.
• Variance values of SepalLengthCm, SepalWidthCm, PetalLengthCm, and PetalWidthCm features.
• Correlation between the three pairs of features.
• Covariance matrix of the feature matrix.

Screenshot:

Credits

This project was developed by Beyza Yıldızlı. You can find me on LinkedIn or GitHub