{"id":203,"date":"2018-12-10T00:00:00","date_gmt":"2018-12-10T00:00:00","guid":{"rendered":"https:\/\/www.thermofisher.com\/blog\/connectedlab\/visualization-to-understand-large-data-sets\/"},"modified":"2024-04-25T10:04:08","modified_gmt":"2024-04-25T10:04:08","slug":"visualization-to-understand-large-data-sets","status":"publish","type":"post","link":"https:\/\/www.thermofisher.com\/blog\/connectedlab\/visualization-to-understand-large-data-sets\/","title":{"rendered":"Visualization to Understand Large Data Sets"},"content":{"rendered":"<h2>How we can solve the problem of InfoObesity<\/h2>\n<p><img loading=\"lazy\" decoding=\"async\" class=\"alignright wp-image-327 size-medium\" src=\"https:\/\/www.thermofisher.com\/blog\/wp-content\/uploads\/sites\/14\/2019\/07\/Visualization-to-Understand-Large-Data-Sets-300x265.jpg\" alt=\"Interactive dashboards with a combination of charts, graphs, and infographics\" width=\"300\" height=\"265\" srcset=\"https:\/\/admin.acceleratingscience.com\/connectedlab\/wp-content\/uploads\/sites\/14\/2019\/07\/Visualization-to-Understand-Large-Data-Sets-300x265.jpg 300w, https:\/\/admin.acceleratingscience.com\/connectedlab\/wp-content\/uploads\/sites\/14\/2019\/07\/Visualization-to-Understand-Large-Data-Sets.jpg 310w\" sizes=\"auto, (max-width: 300px) 100vw, 300px\" \/>Do you ever run into the problem where you have too much data? The term \u201c<a href=\"https:\/\/en.wikipedia.org\/wiki\/Information_overload\" target=\"_blank\" rel=\"noopener\">InfoObesity<\/a>\u201d was coined to describe the avalanche of information and the dysfunctional environment created when:<\/p>\n<ol>\n<li>We have too much information<\/li>\n<li>Not enough tools to wrangle data into a usable format.<\/li>\n<\/ol>\n<h2>The benefit of query-able knowledge<\/h2>\n<p>Customers use Thermo Fisher\u2122 Platform for Science\u2122 software to collaborate, share insights, and generate query-able knowledge from structured data.\u00a0 Now, thanks to a new analytical engine and visualization tool Shiny, Platform for Science software customers can visually mine large data sets with the click of a button.<\/p>\n<h2>Get the most from structured data<\/h2>\n<p>Our newest Platform for Science software Shiny application can be used for data analysis including graphical mapping and visual data exploration. When combined with descriptive statistics, visualization provides a simple and effective way to summarize relationships, easily see differences, and detect outliers in data.\u00a0 <strong>\u00a0<\/strong><\/p>\n<h2>Seeing your data from 50,000 feet<\/h2>\n<p>Don\u2019t forget the value in looking at the big picture.\u00a0 <a href=\"https:\/\/en.wikipedia.org\/wiki\/Treemapping\" target=\"_blank\" rel=\"noopener\">Treemapping<\/a> is an extremely helpful way to visualize your data when a dataset is composed of many granular and disparate parts.<\/p>\n<p>Look at the treemapping application below. You can easily probe the type and quantity of biologic entities displaying hierarchical data using nested rectangles. Thousands of samples can be organized and differentiated using color and size to model different sample attributes.\u00a0 This provides a simple and intelligent way to visualize the samples without one sample type masking another. This makes it easy to spot patterns and gain the insights you need to make intelligent decisions.<\/p>\n<h2>New R Shiny applications in the Platform for Science<\/h2>\n<p>Thermo Fisher Scientific is an official RStudio reseller and we are creating a catalog of Shiny applications for Platform for Science software, designed to flexibly support the changing needs of modern laboratories, integrate data sources, and speed informatics deployments. Our existing apps cover a wide range of academic and biopharma use cases and we are enhancing these apps with data visualization and analytics to support macromolecule drug discovery, in vitro and in vivo data analysis, genomics and 3D sample rendering. These enhancements utilize the array of statistical techniques including supervised and unsupervised machine learning, logistic regression and multi-linear analysis provided by Shiny.<\/p>\n<hr \/>\n","protected":false},"excerpt":{"rendered":"<p>How we can solve the problem of InfoObesity Do you ever run into the problem where you have too much data? The term \u201cInfoObesity\u201d was coined to describe the avalanche of information and the dysfunctional environment created when: We have too much information Not enough tools to wrangle data into a usable format. The benefit<\/p>\n","protected":false},"author":1033,"featured_media":327,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"_kad_blocks_custom_css":"","_kad_blocks_head_custom_js":"","_kad_blocks_body_custom_js":"","_kad_blocks_footer_custom_js":"","_monsterinsights_skip_tracking":false,"_genesis_hide_title":false,"_genesis_hide_breadcrumbs":false,"_genesis_hide_singular_image":false,"_genesis_hide_footer_widgets":false,"_genesis_custom_body_class":"","_genesis_custom_post_class":"","_genesis_layout":"","_jetpack_newsletter_access":"","_jetpack_dont_email_post_to_subs":false,"_jetpack_newsletter_tier_id":0,"_jetpack_memberships_contains_paywalled_content":false,"_jetpack_feature_clip_id":0,"_jetpack_memberships_contains_paid_content":false,"footnotes":"","jetpack_post_was_ever_published":false},"categories":[89],"tags":[167,119,304,99,242,165,166,120],"division":[],"class_list":{"0":"post-203","1":"post","2":"type-post","3":"status-publish","4":"format-standard","5":"has-post-thumbnail","7":"category-technology","8":"tag-data-analysis","9":"tag-data-analysis-and-visualization","10":"tag-data-visualization","11":"tag-platform-for-science","12":"tag-r","13":"tag-rstudio","14":"tag-shiny","15":"tag-visualization","16":"entry"},"_selected_authors":"","_selected_reviewers":"","acf":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO Premium plugin v27.8 (Yoast SEO v27.8) - https:\/\/yoast.com\/product\/yoast-seo-premium-wordpress\/ -->\n<title>Visualization to Understand Large Data Sets - The Connected Lab<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/www.thermofisher.com\/blog\/connectedlab\/visualization-to-understand-large-data-sets\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Visualization to Understand Large Data Sets\" \/>\n<meta property=\"og:description\" content=\"How we can solve the problem of InfoObesity Do you ever run into the problem where you have too much data? 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