Step 8: Correlation analysis
Now, we want to determine the relationship between two or more variables to understand what variables are related. The below prompt shows how we progress in our analysis:
[Prompt]
Proceed to the next step for correlation analysis.
[End of prompt]
You should receive a response similar to the response below:
[Prompt response]
Sure, let’s move on to step 8: Correlation Analysis. We’ll analyze the correlation between numeric variables like star_rating, helpful_votes, and total_votes.
# Step 8: Correlation Analysis
# Calculate the correlation matrix
correlation_matrix = df[['star_rating', 'helpful_votes', 'total_votes']].corr()
# Print the correlation matrix
print(correlation_matrix)
This code will calculate and print a correlation matrix, which shows the correlation coefficients between pairs of variables. The correlation coefficient ranges from -1 to 1. A value close to 1 implies...
