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a4829d986b32839b4065841ab40b3eb9 | media.kvue.com | 2 | covid|covid-19 | 0.861546 | 1,920 | 1,080 | 1,920 | JPEG | 268,301 | d29e7c65100827ee3ae53c4aca653b24b114e1487bb28dfa8775a28c12bf338e | d88e27fb9661684c | 2026-08-01T12:46:39.691002 | COVID-19 Tracker dashboard showing Texas state cases, deaths, and vaccination metrics as of a 7-day average, with a choropleth map of Texas counties colour-coded by case intensity and major cities labelled. | true | true | false | false | false | false | false | false | 1 | true | high | false | null | 2026-08-01T19:12:58.484481 | ||
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a4a283ca1c411f1bd89c094643a35749 | http://csweb.brookings.edu/content/~/media/Research/Files/essays/myukraine/images/Ukraine_LeftAffixedMaps_8.png | csweb.brookings.edu | 1.5 | country|most | 0.841958 | 1,141 | 875 | 1,141 | PNG | 210,467 | 8c61acd121566a763963505affa2e0a53a54d4a8255136e6b8d01c946d337ed7 | af1e94e05a986af1 | 2026-08-01T14:39:44.628562 | Choropleth map of Ukraine showing the percentage of Ukrainians in eastern regions who opposed unification with Russia in April 2014, with regions colour-coded by percentage ranges from 50–90% and labelled with specific values. | true | true | false | false | false | false | false | false | 1 | true | high | false | null | 2026-08-02T02:53:58.230118 | |
a4a6cf09ee190aef7771ccbaf0a85ce2 | anopaia-atrapos.com | 0 | 0.995551 | 756 | 521 | 756 | PNG | 389,385 | 9ddf8ed448b703b063156df0836b717941370a24818fb7f88135a372afeba587 | eb8d9060d593c69d | 2026-08-01T14:12:54.128804 | Choropleth map of Europe showing 14-day COVID-19 notification rate and test positivity for EU, EEA, and UK regions during weeks 41–42, with colour-coded countries ranging from green (low) to dark red (high), accompanied by a small scatterplot legend on the upper left. | true | true | false | false | false | false | false | false | 1 | true | high | false | null | 2026-08-02T01:17:44.265271 | |||
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a4b3ec1a95319214d97eb22110bea043 | http://blog.uvm.edu/drettew/wp-content/blogs.dir/329/files/2013/04/ADHD-rate.jpg | blog.uvm.edu | 0 | 0.964575 | 636 | 536 | 636 | JPEG | 52,413 | a75169b13af72658390220be6f540098d67c6e56be87779d5c118f3d9ab1ba20 | ef3c95c3c8ca6168 | 2026-08-01T12:44:46.543521 | Choropleth map of the United States showing the rate of children with ADHD by state, with a sequential color gradient ranging from 8% to 12%. The map includes state labels and a legend at the top. | true | true | false | false | false | false | false | false | 1 | false | high | false | null | 2026-08-01T19:03:49.918898 | ||
a4b406e54f8ac5a14f7d2b16fcb198d8 | http://www.neweconomynyc.org/wp-content/uploads/2019/08/NYC_ConsumerCreditCases.jpg | neweconomynyc.org | 0 | 0.955846 | 1,700 | 2,200 | 2,200 | JPEG | 835,242 | 0193f98665cda8dceb30c9eb20b63726af1e04f274317ca20abc9c3cf8752c2a | ece1913ed2972c49 | 2026-08-01T12:21:04.000186 | Choropleth map of New York City showing the number of debt collection lawsuits per 10,000 residents by zip code in 2018, with a graduated colour legend and overlay indicating neighborhoods where population is more than 70% non-white. | true | true | false | false | false | false | false | false | 1 | true | high | false | null | 2026-08-01T17:08:37.014497 | ||
a4b4ea1743ab40c8f5f90bddc960fd3e | wkrn.com | 0 | 0.974171 | 525 | 720 | 720 | PNG | 116,443 | bcb158dc836f0b4ad177041b3519fed948e6cf75ea6935b7537f8a0cf25d918c | eeb4944933cd4c35 | 2026-08-01T13:48:10.306552 | Choropleth map of total COVID-19 cases across zip codes in a metropolitan area, updated 2/1/2021, with a graduated colour legend from lower to higher case density and a scale bar showing distance in miles. | true | false | false | false | false | false | false | true | 1 | false | medium | false | null | 2026-08-01T23:38:24.735768 | |||
a4b6fedc9367f57d3e3c7ca58f8ddd72 | solveigwerner.files.wordpress.com | 0 | 0.959681 | 760 | 554 | 760 | JPEG | 39,904 | 64707dd0fcf643e2f398cf4d528f2b8073fadaf70c68e7e3bc6dc73064058d6e | be05d1f00f43c1fc | 2026-08-01T13:34:25.110681 | World choropleth map for 2015 showing countries shaded in a yellow-to-red gradient scale from 1 to 3,759, with some regions uncoloured in grey. The map dominates the frame with a legend at the bottom-left. | true | true | false | false | false | false | false | false | 1 | false | high | false | null | 2026-08-01T22:42:15.859998 | |||
a4b7cfd4f760c8b86f364a161b7d7138 | pyxis.nymag.com | 0 | 0.993619 | 700 | 467 | 700 | JPEG | 64,470 | 99d5dcab9666b89d1dcfbc5357a4a984ff3badeb3e4144ca2e10a426f6583444 | ab1e9681fd83c0cd | 2026-08-01T12:43:21.952127 | Choropleth map of the United States showing the 2016 presidential election results by state, with red representing Donald Trump victories and blue representing Hillary Clinton victories, each state labelled with its percentage margin. | true | true | false | false | false | false | false | false | 1 | null | high | false | null | 2026-08-01T18:57:38.795633 | |||
a4bbc2d4c2c2fb892eac9780a89f4c75 | http://www.repmanblog.com/wp-content/uploads/2017/01/blue-states-vs-red-2012-elect.png | repmanblog.com | 1 | states | 0.953325 | 733 | 457 | 733 | PNG | 53,034 | c21a57f427e532ee4db37666f3f1eac0755a06f7fd25e129d1a0793c5a6ff037 | aa15d5bdcdc0c9c2 | 2026-08-01T13:37:13.444582 | Political map of the United States showing the 2012 presidential election results by state, with blue states won by Obama (D) and red states won by Romney (R), including electoral vote counts per state. | true | true | false | false | false | false | false | false | 1 | null | high | false | null | 2026-08-01T22:52:52.196922 | |
a4bc33f0bcb567edf9af3e50408f3c01 | streets.mn | 4 | population|counties|county | 0.985062 | 425 | 500 | 500 | PNG | 66,740 | 876d107a3f3be4f627b08d57162b75271987b05cc5abba44d44d6de25c7ebf9b | bfc0dcc6c44e4b70 | 2026-08-01T12:32:39.702051 | Choropleth map of Minnesota showing population change by county between 2010 and 2015, with a colour gradient legend indicating percentage changes ranging from -3.0% to +3% or more. | true | true | false | false | false | false | false | false | 1 | true | high | false | null | 2026-08-01T18:03:47.853236 | ||
a4bcf2bb4c9340bab4f59992c2e104e9 | rba.gov.au | 1.5 | investment | cities | 0.953632 | 750 | 493 | 750 | PNG | 35,920 | 5fae80edfcc685c25c5ad447008039f6aa27c36a25c1c498f3a7d2a6f3084337 | b933d3cc2c97cc0c | 2026-08-01T13:46:04.821390 | Choropleth map of Australia divided into states and regions, with coloured areas representing different data categories and proportional symbol overlays (circles of varying sizes) indicating resource locations or quantities. The legend shows demand growth, wage growth, house price growth, and resource types (iron ore, ... | true | true | true | false | false | false | false | false | 2 | null | high | false | null | 2026-08-01T23:30:02.452302 | |
a4c0bb517bf36813f2af0fd5527a8620 | cdn-cashy-static-assets.lucidchart.com | 0 | 0.945462 | 1,200 | 1,102 | 1,200 | PNG | 161,752 | 837b633932f8d0cf0f5e80d9cb5fb2f1eb592717b87c5335f7704a15e693b405 | eb36da92906585cd | 2026-08-01T12:37:05.487756 | Choropleth map of the United States divided into four coloured regions (Western, Midwest, Southern, Northeast) with state boundaries shown. Below the map is a bar chart comparing market demand forecast for 2020 and subscriptions purchased in 2019 across the same four regions. | true | true | false | false | false | false | false | false | 1 | null | high | false | null | 2026-08-01T18:26:31.904142 | |||
a4c74b5db4c2d5656c0f972addfa27ef | http://migrationfiles.ucdavis.edu/uploads/rmn/images/rmn_figures/jan2010ruralmnfig.jpg | migrationfiles.ucdavis.edu | 2 | poverty | 0.944421 | 528 | 512 | 528 | JPEG | 184,891 | ffb54f705e5f28e703f5e30851a8ac0f58162e67d8a301bb29e656fbfae9c706 | bf3e95c1684a2764 | 2026-08-01T12:32:04.133599 | Choropleth map of the United States showing the percentage of population in poverty across counties in 2008, with a graduated colour legend ranging from dark red (highest poverty) to dark green (lowest poverty). | true | true | false | false | false | false | false | false | 1 | true | high | false | null | 2026-08-01T18:00:43.370710 |
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