Fix/counting cells #19
Closed
Conversation
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
kdutia
requested changes
Nov 14, 2024
|
closing as duplicated by #21 |
Sign up for free
to join this conversation on GitHub.
Already have an account?
Sign in to comment
Add this suggestion to a batch that can be applied as a single commit.
This suggestion is invalid because no changes were made to the code.
Suggestions cannot be applied while the pull request is closed.
Suggestions cannot be applied while viewing a subset of changes.
Only one suggestion per line can be applied in a batch.
Add this suggestion to a batch that can be applied as a single commit.
Applying suggestions on deleted lines is not supported.
You must change the existing code in this line in order to create a valid suggestion.
Outdated suggestions cannot be applied.
This suggestion has been applied or marked resolved.
Suggestions cannot be applied from pending reviews.
Suggestions cannot be applied on multi-line comments.
Suggestions cannot be applied while the pull request is queued to merge.
Suggestion cannot be applied right now. Please check back later.
The normalisation did not work well because all cells in tables were counted as an individual text block, meaning the most-frequent geography was Columbia and second-most frequent was Moldova, despite these countries having relatively few documents in actuality. This is a data quality issue that needs to be solved in the open data more broadly, but for now, selecting only text blocks where "text_block.type" is text, title or heading seems to get rid of most of the problem.