Matlab_Data-Analysis_Project

Data Set Used:

IRIS DATA SET

Source: https://archive.ics.uci.edu/ml/datasets/Iris

Creator : R.A. Fisher

Donor : Michael Marshall

Data Set Information:

The data set contains 3 classes of 50 instances each, where each class refers to a type of iris plant.

Predicted attribute: Three Class of iris plant.

Attribute Information:

1. Sepal length in cm

2. Sepal width in cm

3. Petal length in cm

4. Petal width in cm

5.  Output Classes:
   

• Iris Setosa Class-1
• Iris Versicolour Class-2
• Iris Virginica Class-3

There are in total 50 data elements in each class, thereby making a total of 150 data rows/elements.

For data analysis, only top 10 data rows from each class is used.

Explanation of the project:

-The sepal length and width and Petal length and width are the features that are used to predict the plant classes.

-The mean, max, min and variance were computed.

-Plotted classes vs all species length and width (Sepal and Petal) i.e., classes to examine 3 species length and width (sepal and petal).

-A correlation matrix is also computed, and histogram is used to understand frequency of each classes.

Note:

 To run this code, save the file to your computer and just give the right path in the code.