articles has columns article_id and text.

Return the top_n most frequent words across all the text, as a DataFrame with columns word and count. Lowercase everything first and strip punctuation, so "Data," and "data" are the same word. Sort by count descending then word alphabetically, and renumber the index from 0.

Input

articles =
   article_id                    text
0           1  Data, data everywhere!
1           2       The data is fine.
top_n = 3

Output

         word  count
0        data      3
1  everywhere      1
2        fine      1