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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 Markets6556019790
Astronomy and Space Sciences683136985
Crypto and Blockchain136311369904428
unknown378187534133
Media and Entertainment684735729478
Sports761719321510
Technology and IT945595843658
Academic Research10186831986843
Ecommerce and Consumer Trends1171124561909
Politics and Governance1417620197224
Transportation and Logistics27073936410436
Healthcare735428032215192
Environmental and Climate Sciences1079613878745113
Finance and Economics2386517246762060
Demographics and Population Studies29263107917352588

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