Dataset statistics

How the contents of this dataset changed over its recent runs: entity counts by type, target counts, country breakdowns, and property fill rates.

RunCompanyPersonArticleVesselOrganizationLegalEntityTotal
Oct 916:053,7333,243715696678279,092
Oct 616:053,7333,244715696678279,093
Oct 216:043,7333,244715698678279,095
Sep 3016:053,7333,244716698679279,097
Sep 1816:053,7333,245716698679279,098
Sep 1616:053,7353,247717698681279,105
Sep 1116:053,7363,247717698681279,106
Sep 516:053,7373,254717698681279,114
Aug 2516:043,7383,254717698681279,115
Aug 2316:043,7373,255716698680279,113
Aug 2216:053,7303,236715688680279,076
Aug 2116:054,4353,7918407927452710,630
Aug 916:044,4303,7958417877432710,623
Aug 716:054,4293,7958417877432710,622
Aug 616:044,4043,7678397697432710,549
Aug 516:174,4033,7678397697432710,548
Jul 3116:044,4043,7678397697432710,549
Jul 3016:054,3923,7838397657412710,547
Jul 2816:054,3893,7828407657412710,544
Jul 2716:074,3853,7458407657162710,478
Jul 2411:114,3853,7458397657162710,477
Jul 2216:044,3693,7668407657422710,509
Jul 1916:044,3823,7608437657432710,520
Jul 1716:054,4003,9538497727522710,753
Jul 1607:174,4003,9548497727522710,754