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You have a DataFrame named df that has three columns: 'A', 'B', 'C'. The DataFrame has 100 rows. Your task is to create a DataFrame where each column 'A', 'B', 'C' is transformed into 3 columns each: 'A_min', 'A_max', 'A_mean', 'B_min', 'B_max', 'B_mean', 'C_min', 'C_max', 'C_mean'. Which of the following code snippets accomplishes this task?
You are analyzing the relationship between hours of study and exam scores among students. After calculating, you find a correlation coefficient (r) of 0.9. Which of the following is the best interpretation?
You have a Pandas DataFrame that contains missing values. Which of the following methods will replace all NaNs with zeros?
What is the primary reason to use PCA (Principal Component Analysis) over t-SNE when visualizing high-dimensional data?
Which of the following libraries in Python is not commonly used for web scraping to collect data?
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