€11.00 – €14.02
- Data Preparation:
- Example data is provided in a dictionary format with four variables.
- Data is converted to a pandas DataFrame for further manipulation.
- Correlation Calculation:
- The
DataFrame.corr()
method computes pairwise correlations between all numerical columns.
- The
- Visualization:
seaborn.heatmap
is used to create a visually appealing heatmap of the correlation matrix.annot=True
displays the correlation coefficients on the heatmap.- The
cmap="coolwarm"
color map is applied for better contrast between positive and negative correlations.
- Output:
- A printed correlation matrix shows exact numerical values.
- The heatmap provides a graphical representation, making patterns and relationships easier to interpret.