How can I read a correlation matrix?

42 Asked by Deepalisingh in Data Science , Asked on Mar 12, 2024

I am currently working as a data analyst and I am currently working on a project to understand the relationship between various factors that are influencing customer satisfaction for an e-commerce platform. I have collected data on factors such as product quality, shipping Speed, customer support response time, and overall satisfaction rating. How can I analyze the relationship between these variables?

Answered by Deepak Mistry

In the context of data science, a correlation matrix is a particular table that can show the correlation coefficient between pairs of variables in a dataset. It is used in measuring the strength and direction of the linear relationship between two variables. The correlation coefficient ranges from -1 to 1 where,

Coefficient of 1 indicates a perfect positive linear relationship.

Coefficient of -1 indicates a perfect negative linear relationship.

Coefficient of 0 indicates no linear relationship.

Here is a sample Python programming language coding given of how you can create and visualize a correlation matrix by using the platform bid seaborn:-

Import seaborn as sns

Import matplotlib.pyplot as plt

# Assuming df is your data frame containing customer satisfaction data

# Compute the correlation matrix

Corr_matrix = df.corr()

# Plot the correlation matrix

Plt.figure(figsize=(10, 8))

Sns.heatmap(corr_matrix, annot=True, cmap=’coolwarm’, fmt=”.2f”, linewidths=.5)

Plt.title(‘Correlation Matrix of Customer Satisfaction Factors’)

Plt.show()

How can I read a correlation matrix?

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