Correlation is a statistical technique that shows how two variables are related. Pandas dataframe.corr() method is used for creating the correlation matrix. It is used to find the pairwise correlation of all columns in the dataframe. Any na values are automatically excluded. For any non-numeric data type columns in the dataframe it is ignored.
To create correlation matrix using pandas, these steps should be taken:
- Obtain the data.
- Create the DataFrame using Pandas.
- Create correaltion matrix using Pandas
Values at the diagonal shows the correlation of a variable with itself, hence diagonal shows the correlation 1.
- Create an n x n square matrix, where all the sub-matrix have the sum of opposite corner elements as even
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