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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 Markets5423434975
Astronomy and Space Sciences502819808
Crypto and Blockchain115292062689062
unknown378187534133
Media and Entertainment580145186457
Sports667620304908
Technology and IT744478521108
Ecommerce and Consumer Trends777113091005
Academic Research8354594941003
Politics and Governance1145581923059
Transportation and Logistics21853394834398
Healthcare606227142026306
Environmental and Climate Sciences75719749874958
Finance and Economics2139415739690107
Demographics and Population Studies23054106787461197

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