University:
American Baptist College
Course:
CSCI 1534 | Data Analysis and Visualization
Academic year:

2023
Views:

250

Pages:

2
Author:

Muthia M.

Answer this question. 1. If you have a NumPy array 'arr' representing 'writing score' and you want to find the score at 75th percentile, which command would you use? A. np.quantile(arr, 75) B. np.median(arr, 75) C. np.percentile(arr, 75) D. np.percentile(arr, 0.75) 2. Which of the following commands can summarize the 'race/ethnicity' column? A. df['race/ethnicity'].sum() B. df.sum()['race/ethnicity'] C. df['race/ethnicity'].count() D. df['race/ethnicity'].describe() 3. What type of data is contained in the 'test preparation course' column? A. Numerical B. Categorical C. Boolean D. Datetime 4. Which of the following commands would you use to convert the 'math score' column into a NumPy array? A. np.array(df['math score']) B. df['math score'].to_numpy() C. np.asarray(df['math score']) D. All of the above are correct