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Description
Missing functionality
Word clouds contain the most common words, and for free text fields, these words are often: 'and', 'to', 'the', 'from' etc. Which provide no meaningful insight into the data.
Proposed feature
Include an option to remove stopwords when generating word clouds. Perhaps by incorporating the nltk package to identify the list of stopwords.
Example:
from nltk.corpus import stopwords
stop = stopwords.words('english')
Alternatives considered
Removing stopwords from a pandas dataframe prior to generating the report wouldn't suffice in this case, as it would affect the 'samples' in the report
Additional context
No response