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Query Result

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1select dataset_category as "Category",  count(distinct dataset_fqn) as "# Datasets", sum(table_row_count) as "# Rows"
2from @blt.catalog_metadata.public_tables
3group by all
4order by 2
5limit 200
Category# Datasets# Rows
Prediction Markets5331602670
Astronomy and Space Sciences482817930
Crypto and Blockchain111267910939365
unknown378187534133
Media and Entertainment571144606164
Sports657475546289
Technology and IT737480430774
Ecommerce and Consumer Trends770112179597
Academic Research8143226344378
Politics and Governance1136580690930
Transportation and Logistics22053077896197
Healthcare587526419137357
Environmental and Climate Sciences74709445673131
Finance and Economics2036414423730166
Demographics and Population Studies23290107251754914

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