Complete the code to import the function for Pearson correlation from scipy.stats.
from scipy.stats import [1]
The function to calculate Pearson correlation in scipy.stats is pearsonr.
Complete the code to calculate the Pearson correlation coefficient between lists x and y.
corr, p_value = pearsonr([1], y)The variable holding the first list is named x, so it should be passed to pearsonr.
Fix the error in the code to correctly calculate the Pearson correlation coefficient.
corr, p_value = pearsonr(x, [1])The second argument to pearsonr should be the second data list y.
Fill both blanks to create a dictionary with words as keys and their lengths as values, but only for words longer than 3 characters.
{word: [1] for word in words if [2]The dictionary comprehension uses len(word) as the value and filters words with length greater than 3 using len(word) > 3.
Fill all three blanks to create a dictionary with uppercase words as keys and their lengths as values, only for words longer than 4 characters.
{ [1]: [2] for word in words if [3] }The dictionary keys are uppercase words using word.upper(), values are lengths with len(word), and the filter keeps words longer than 4 characters with len(word) > 4.