{"id":20374,"date":"2026-03-20T21:33:00","date_gmt":"2026-03-20T21:33:00","guid":{"rendered":"https:\/\/www.anychart.com\/blog\/?p=20374"},"modified":"2026-03-23T12:37:22","modified_gmt":"2026-03-23T12:37:22","slug":"grocery-receipts-data-centers-dataviz","status":"publish","type":"post","link":"https:\/\/www.anychart.com\/blog\/2026\/03\/20\/grocery-receipts-data-centers-dataviz\/","title":{"rendered":"From Personal Grocery Receipts to Global Data Centers \u2014 DataViz Weekly"},"content":{"rendered":"\n<figure class=\"wp-block-image size-large\"><a href=\"https:\/\/www.anychart.com\/blog\/2026\/03\/20\/grocery-receipts-data-centers-dataviz\/\"><img loading=\"lazy\" decoding=\"async\" width=\"1024\" height=\"576\" src=\"https:\/\/www.anychart.com\/blog\/wp-content\/uploads\/2026\/03\/data-visualization-weekly-3-21-2026-1024x576.png\" alt=\"Projects Featured in This New DataViz Weekly Edition Presented in a Collage, From Personal Grocery Receipts to Global Data Centers\" class=\"wp-image-20382\" srcset=\"https:\/\/www.anychart.com\/blog\/wp-content\/uploads\/2026\/03\/data-visualization-weekly-3-21-2026-1024x576.png 1024w, https:\/\/www.anychart.com\/blog\/wp-content\/uploads\/2026\/03\/data-visualization-weekly-3-21-2026-300x169.png 300w, https:\/\/www.anychart.com\/blog\/wp-content\/uploads\/2026\/03\/data-visualization-weekly-3-21-2026-768x432.png 768w, https:\/\/www.anychart.com\/blog\/wp-content\/uploads\/2026\/03\/data-visualization-weekly-3-21-2026.png 1366w\" sizes=\"auto, (max-width: 1024px) 100vw, 1024px\" \/><\/a><\/figure>\n\n\n\n<p>Data is everywhere, but what it means is rarely obvious on its own. <a href=\"https:\/\/www.anychart.com\/blog\/category\/data-visualization-weekly\/\">DataViz Weekly<\/a> is back with four projects that illustrate how good visuals help close that gap. Featured today:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>25 years of egg prices \u2014 John Rush<\/li>\n\n\n\n<li>Jobs most at risk from AI \u2014 The Washington Post<\/li>\n\n\n\n<li>Bah\u00eda Blanca flood reconstruction \u2014 LA NACION<\/li>\n\n\n\n<li>Global data center expansion \u2014 Environmental Reporting Collective<\/li>\n<\/ul>\n\n\n<p><!--more--><\/p>\n<p><center><a href=\"https:\/\/qlik.anychart.com\" target=\"_blank\" rel=\"noopener nofollow\"><img decoding=\"async\" class=\"alignnone size-full wp-image-19930\" src=\"https:\/\/www.anychart.com\/blog\/wp-content\/uploads\/2025\/11\/spreadsheets-970x250.png\" alt=\"Qlik Spreadsheets Banner\" width=\"70%\" srcset=\"https:\/\/www.anychart.com\/blog\/wp-content\/uploads\/2025\/11\/spreadsheets-970x250.png 970w, https:\/\/www.anychart.com\/blog\/wp-content\/uploads\/2025\/11\/spreadsheets-970x250-300x77.png 300w, https:\/\/www.anychart.com\/blog\/wp-content\/uploads\/2025\/11\/spreadsheets-970x250-768x198.png 768w\" sizes=\"(max-width: 970px) 100vw, 970px\" \/><\/a><\/center><\/p>\n\n\n<h2 class=\"wp-block-heading\">Data Visualization Weekly: March 13\u201320, 2026<\/h2>\n\n\n\n<h3 class=\"wp-block-heading\">25 Years of Egg Prices<\/h3>\n\n\n\n<figure class=\"wp-block-image size-large\"><a href=\"https:\/\/www.john-rush.com\/posts\/eggs-25-years-20260219\" target=\"_blank\" rel=\"nofollow\"><img loading=\"lazy\" decoding=\"async\" width=\"1024\" height=\"579\" src=\"https:\/\/www.anychart.com\/blog\/wp-content\/uploads\/2026\/03\/egg-prices-1024x579.png\" alt=\"25 Years of Egg Prices Visualized in a Chart\" class=\"wp-image-20383\" srcset=\"https:\/\/www.anychart.com\/blog\/wp-content\/uploads\/2026\/03\/egg-prices-1024x579.png 1024w, https:\/\/www.anychart.com\/blog\/wp-content\/uploads\/2026\/03\/egg-prices-300x170.png 300w, https:\/\/www.anychart.com\/blog\/wp-content\/uploads\/2026\/03\/egg-prices-768x434.png 768w, https:\/\/www.anychart.com\/blog\/wp-content\/uploads\/2026\/03\/egg-prices.png 1175w\" sizes=\"auto, (max-width: 1024px) 100vw, 1024px\" \/><\/a><\/figure>\n\n\n\n<p>Some people collect receipts. John Rush has been scanning every one of his since 2001 \u2014 never typing in a single price, just keeping the images, waiting for the technology to catch up.<\/p>\n\n\n\n<p>This year it did. He extracted 25 years of egg purchase data using two AI coding agents and presented the results on his blog. A <a href=\"https:\/\/www.anychart.com\/chartopedia\/chart-type\/dot-chart\/\">dot chart<\/a> tracks price per egg across the full span, with tabs switching between nominal and inflation-adjusted prices, and one more for cumulative spend. An animated <a href=\"https:\/\/www.anychart.com\/chartopedia\/chart-type\/dot-map\/\">dot map<\/a> traces every purchase location year by year across the Pacific Northwest. A <a href=\"https:\/\/www.anychart.com\/chartopedia\/chart-type\/line-chart\/\">line chart<\/a> measures year-over-year price swings under the label &#8220;Personal Egg-flation.&#8221;<\/p>\n\n\n\n<p>A <a href=\"https:\/\/www.anychart.com\/products\/anychart\/gallery\/Calendar_Chart\/\">calendar chart<\/a> then lays out every single purchase week by week from 2001 to 2026, the full archive visible at once. The rest of the piece documents how the pipeline was built \u2014 what broke, what replaced it, and how each problem got fixed.<\/p>\n\n\n\n<p>Look at the post on <a href=\"https:\/\/www.john-rush.com\/posts\/eggs-25-years-20260219\" target=\"_blank\" rel=\"nofollow\">John Rush&#8217;s website<\/a>.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\">Jobs Most at Risk from AI<\/h3>\n\n\n\n<figure class=\"wp-block-image size-large\"><a href=\"https:\/\/www.washingtonpost.com\/technology\/interactive\/2026\/jobs-most-affected-ai-automation\/\" target=\"_blank\" rel=\"nofollow\"><img loading=\"lazy\" decoding=\"async\" width=\"1024\" height=\"817\" src=\"https:\/\/www.anychart.com\/blog\/wp-content\/uploads\/2026\/03\/ai-jobs-1024x817.png\" alt=\"Jobs Most at Risk from AI Visualized in a Chart\" class=\"wp-image-20380\" srcset=\"https:\/\/www.anychart.com\/blog\/wp-content\/uploads\/2026\/03\/ai-jobs-1024x817.png 1024w, https:\/\/www.anychart.com\/blog\/wp-content\/uploads\/2026\/03\/ai-jobs-300x240.png 300w, https:\/\/www.anychart.com\/blog\/wp-content\/uploads\/2026\/03\/ai-jobs-768x613.png 768w, https:\/\/www.anychart.com\/blog\/wp-content\/uploads\/2026\/03\/ai-jobs.png 1200w\" sizes=\"auto, (max-width: 1024px) 100vw, 1024px\" \/><\/a><\/figure>\n\n\n\n<p>Which workers are most exposed to AI, and which ones will find it hardest to adapt if their jobs change? Researchers at GovAI and the Brookings Institution analyzed more than 350 occupations across both dimensions.<\/p>\n\n\n\n<p>The Washington Post built an interactive <a href=\"https:\/\/www.anychart.com\/chartopedia\/chart-type\/bubble-chart\">bubble<\/a>-based <a href=\"https:\/\/www.anychart.com\/products\/anychart\/gallery\/Scatter_Charts\/\">scatter plot<\/a>, placing each occupation on two axes: AI exposure running horizontally from least to most, and adaptability running vertically. Bubble size reflects the number of workers in each occupation. A search box lets you locate specific job titles directly on the chart.<\/p>\n\n\n\n<p>A second view of the same chart colors each bubble by the gender makeup of the occupation, making the concentration of female-dominated roles in the high-exposure, low-adaptability corner immediately visible.<\/p>\n\n\n\n<p>See the article on <a href=\"https:\/\/www.washingtonpost.com\/technology\/interactive\/2026\/jobs-most-affected-ai-automation\/\" target=\"_blank\" rel=\"nofollow\">The Washington Post<\/a>, by Kevin Schaul and Shira Ovide.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\">Bah\u00eda Blanca Flood Reconstruction<\/h3>\n\n\n\n<figure class=\"wp-block-image size-large\"><a href=\"https:\/\/www.lanacion.com.ar\/sociedad\/asi-se-inundo-bahia-blanca-nid06032026\/\" target=\"_blank\" rel=\"nofollow\"><img loading=\"lazy\" decoding=\"async\" width=\"1024\" height=\"777\" src=\"https:\/\/www.anychart.com\/blog\/wp-content\/uploads\/2026\/03\/bahia-blanca-flood-1024x777.png\" alt=\"Bah\u00eda Blanca Flood Visualized in a Chart\" class=\"wp-image-20379\" srcset=\"https:\/\/www.anychart.com\/blog\/wp-content\/uploads\/2026\/03\/bahia-blanca-flood-1024x777.png 1024w, https:\/\/www.anychart.com\/blog\/wp-content\/uploads\/2026\/03\/bahia-blanca-flood-300x228.png 300w, https:\/\/www.anychart.com\/blog\/wp-content\/uploads\/2026\/03\/bahia-blanca-flood-768x583.png 768w, https:\/\/www.anychart.com\/blog\/wp-content\/uploads\/2026\/03\/bahia-blanca-flood.png 1200w\" sizes=\"auto, (max-width: 1024px) 100vw, 1024px\" \/><\/a><\/figure>\n\n\n\n<p>On March 7, 2025, catastrophic flooding struck Bah\u00eda Blanca, Argentina, leaving 18 people dead and more than 1,400 temporarily displaced. A combination of extreme rainfall and structural drainage failures turned the city&#8217;s streets into channels.<\/p>\n\n\n\n<p>LA NACION reconstructed the disaster in a scroll-driven piece built on data from the National University of the South and the National Water Institute. The elevation profile pictured above uses an animated water fill to show the flood&#8217;s movement across the city&#8217;s terrain \u2014 how water built up on the steep upper slope and poured into the flat urbanized plain below, where the near-zero gradient trapped it. The piece also includes a rain-styled <a href=\"https:\/\/www.anychart.com\/chartopedia\/chart-type\/column-chart\/\">column chart<\/a> tracking hourly precipitation across the day and a map with embedded video footage showing water levels across different parts of the city.<\/p>\n\n\n\n<p>Check out the story on <a href=\"https:\/\/www.lanacion.com.ar\/sociedad\/asi-se-inundo-bahia-blanca-nid06032026\/\" target=\"_blank\" rel=\"nofollow\">LA NACION<\/a>, by Mat\u00edas Avramow, Pablo Loscri, and Gabriel Podest\u00e1.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\">Global Data Center Expansion<\/h3>\n\n\n\n<figure class=\"wp-block-image size-large\"><a href=\"https:\/\/www.dirtydata.earth\/map\" target=\"_blank\" rel=\"nofollow\"><img loading=\"lazy\" decoding=\"async\" width=\"1024\" height=\"535\" src=\"https:\/\/www.anychart.com\/blog\/wp-content\/uploads\/2026\/03\/data-centers-1024x535.png\" alt=\"Global Data Center Expansion Visualized in a Map\" class=\"wp-image-20381\" srcset=\"https:\/\/www.anychart.com\/blog\/wp-content\/uploads\/2026\/03\/data-centers-1024x535.png 1024w, https:\/\/www.anychart.com\/blog\/wp-content\/uploads\/2026\/03\/data-centers-300x157.png 300w, https:\/\/www.anychart.com\/blog\/wp-content\/uploads\/2026\/03\/data-centers-768x401.png 768w, https:\/\/www.anychart.com\/blog\/wp-content\/uploads\/2026\/03\/data-centers.png 1200w\" sizes=\"auto, (max-width: 1024px) 100vw, 1024px\" \/><\/a><\/figure>\n\n\n\n<p>Data centers are proliferating rapidly around the world, driven by demand for AI computing power. The energy, water, and land they consume have put them in direct conflict with the communities where they land.<\/p>\n\n\n\n<p>Dirty Data, a collaborative investigation by the Environmental Reporting Collective, published an interactive world map tracking this expansion, compiled by journalists working across Asia, Latin America, and Europe. Each data center appears as a point on the map, with a toggle to switch to a hex grid view that aggregates density. A color-by selector changes what the map encodes: operational status, facility type, capacity, water use, or investment level. Country and status filters let you narrow the view.<\/p>\n\n\n\n<p>Developed by Yan Naung Oak, the map anchors a series of reported stories covering communities displaced, water supplies strained, and legal challenges brought by residents against governments and developers.<\/p>\n\n\n\n<p>Explore the map on the <a href=\"https:\/\/www.dirtydata.earth\/map\" target=\"_blank\" rel=\"nofollow\">Dirty Data<\/a> website.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\">Wrapping Up<\/h2>\n\n\n\n<p>A personal archive, a labor market model, a flood record, and global infrastructure \u2014 this week&#8217;s picks are as different as data projects get. What they share is a commitment to making the data they&#8217;re built on easier to engage with directly, thanks to good visualizations. More real-world examples of charts and maps next week in <a href=\"https:\/\/www.anychart.com\/blog\/category\/data-visualization-weekly\/\">DataViz Weekly<\/a>.<\/p>\n\n\n\n<p><\/p>\n<!-- AddThis Advanced Settings generic via filter on the_content --><!-- AddThis Share Buttons generic via filter on the_content -->","protected":false},"excerpt":{"rendered":"<p>Data is everywhere, but what it means is rarely obvious on its own. DataViz Weekly is back with four projects that illustrate how good visuals help close that gap. Featured today:<!-- AddThis Advanced Settings generic via filter on get_the_excerpt --><!-- AddThis Share Buttons generic via filter on get_the_excerpt --><\/p>\n","protected":false},"author":30,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[175],"tags":[4467,4465,4171,272,2044,4472,260,561,63,284,258,104,471,266,620,4473,4463,509,291,2907,4253,2220,1389,1760,256,1111,350,3864,133,774,775,145,4474,593,4468,931,4471,144,167,146,2949,809,151,4466,699,4170,1963,2753,4470,4469,131,4464,1761,1893,609,395,610,3100],"class_list":["post-20374","post","type-post","status-publish","format-standard","hentry","category-data-visualization-weekly","tag-ai-automation","tag-ai-jobs","tag-argentina","tag-artificial-intelligence","tag-automation","tag-bahia-blanca","tag-best-data-visualization-examples","tag-best-data-visualizations","tag-bubble-chart","tag-chart-examples","tag-charts","tag-choropleth-maps","tag-data-analysis","tag-data-analytics","tag-data-analytics-examples","tag-data-center-map","tag-data-centers","tag-data-graphics","tag-data-journalism","tag-data-maps","tag-data-storytelling","tag-data-visual","tag-data-visualization-best-pracices","tag-data-visualization-design","tag-data-visualization-examples","tag-data-visualization-practice","tag-data-visualization-projects","tag-data-driven-storytelling","tag-dataviz","tag-dataviz-examples","tag-dataviz-projects","tag-dataviz-weekly","tag-egg-prices","tag-environment","tag-environmental-reporting-collective","tag-flood-data-visualization","tag-flood-reconstruction","tag-infographics","tag-interactive-charts","tag-interactive-data-visualization","tag-interactive-infographics","tag-interactive-maps","tag-interactive-visualizations","tag-job-automation","tag-jobs","tag-la-nacion","tag-labor-market","tag-ocr","tag-personal-data","tag-personal-data-visualization","tag-recap-of-the-week","tag-receipt-data","tag-scatter-plot","tag-scrollytelling","tag-storytelling","tag-the-washington-post","tag-visual-storytelling","tag-visual-storytelling-examples","wpautop"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v27.1.1 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>From Grocery Receipts to Global Data Centers \u2014 DataViz Weekly | AnyChart News<\/title>\n<meta name=\"description\" content=\"Data is everywhere. 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