Use python to write a script that would
1) spell check each word in each row in a given data frame, ***
2) use spelling correction pkg or create a model/method to correct only the misspelled words in each row.
3)include away to visually represent the changes made from the given rows in the data frame.
- important to note this script should
A) work easly as long as it's given a data frame which contains a row called "raw texts"
B) whatever pkg/model used to correct the misspelling should be able to scale for 500k rows
C) the data it will used one is ambiguous so please make your own sample to test your solution.
***Each row would have 3 -6 words