{"id":93017,"date":"2025-02-17T05:42:47","date_gmt":"2025-02-17T05:42:47","guid":{"rendered":"https:\/\/peraltafinancing.com\/animation\/pocket-guide-to-getting-started-in-data-visualization-using-graphs\/"},"modified":"2025-02-17T05:42:47","modified_gmt":"2025-02-17T05:42:47","slug":"pocket-guide-to-getting-started-in-data-visualization-using-graphs","status":"publish","type":"post","link":"https:\/\/fivemor.com\/?p=93017","title":{"rendered":"Pocket Guide to Getting Started in Data Visualization Using Graphs"},"content":{"rendered":"<p> <br \/>\n<\/p>\n<div>\n<p>        <!-- image --><br \/>\n        <!-- content --><\/p>\n<p>In today\u2019s modern, tech-driven world, we manage to create an incredible swathe of data every day. In fact, statistics from the World Economic Forum post that at the beginning of 2020 alone, the number of bytes in our digital universe was 40 times larger than the number of stars in the observable universe. It\u2019s an astounding quantity that can be very difficult to wrap one\u2019s head around.<\/p>\n<p style=\"text-align: center;\">Also, read on <a href=\"https:\/\/www.animationalerts.com\/create-online-infographic\/\"><strong>Infographics creation<\/strong><\/a><\/p>\n<p><img fetchpriority=\"high\" decoding=\"async\" class=\"aligncenter size-large wp-image-2664\" src=\"https:\/\/www.animationalerts.com\/wp-content\/uploads\/2021\/08\/Pocket-Guide-to-Creating-Visualization-700x467.jpg\" alt=\"Pocket Guide to Creating Visualization\" width=\"640\" height=\"427\" srcset=\"https:\/\/www.animationalerts.com\/wp-content\/uploads\/2021\/08\/Pocket-Guide-to-Creating-Visualization-700x467.jpg 700w, https:\/\/www.animationalerts.com\/wp-content\/uploads\/2021\/08\/Pocket-Guide-to-Creating-Visualization-300x200.jpg 300w, https:\/\/www.animationalerts.com\/wp-content\/uploads\/2021\/08\/Pocket-Guide-to-Creating-Visualization-768x512.jpg 768w, https:\/\/www.animationalerts.com\/wp-content\/uploads\/2021\/08\/Pocket-Guide-to-Creating-Visualization-630x420.jpg 630w, https:\/\/www.animationalerts.com\/wp-content\/uploads\/2021\/08\/Pocket-Guide-to-Creating-Visualization-640x427.jpg 640w, https:\/\/www.animationalerts.com\/wp-content\/uploads\/2021\/08\/Pocket-Guide-to-Creating-Visualization-681x454.jpg 681w, https:\/\/www.animationalerts.com\/wp-content\/uploads\/2021\/08\/Pocket-Guide-to-Creating-Visualization.jpg 1200w\" sizes=\"(max-width: 640px) 100vw, 640px\"\/><\/p>\n<p>That\u2019s where <strong>data visualization<\/strong> comes in. Defined as the visual or graphical representation of information, it\u2019s the best approach we have to make sense of the massive amounts of data we process on a daily basis and turn them into something more digestible. The power of visual data lies in its ability to beat common barriers in communication, such as language differences, time limits, legibility, and accessibility, and there are a lot of chart or <a href=\"https:\/\/venngage.com\/features\/graph-maker\" target=\"_blank\" rel=\"noopener\">graph maker<\/a> apps out there that can help with this endeavor.<\/p>\n<h2><span class=\"ez-toc-section\" id=\"Which_Visualization_Type_Should_You_Use\"\/>Which Visualization Type Should You Use?<span class=\"ez-toc-section-end\"\/><\/h2>\n<p>Before getting started creating your chart, it\u2019s important to know what the proper <a href=\"https:\/\/en.wikipedia.org\/wiki\/Visualization_(graphics)\" target=\"_blank\" rel=\"noopener\">visual elements<\/a> will be appropriate. There are 5 big data visualization categories that can guide your selection:<\/p>\n<h3><span class=\"ez-toc-section\" id=\"Temporal\"\/>Temporal.<span class=\"ez-toc-section-end\"\/><\/h3>\n<p><img loading=\"lazy\" decoding=\"async\" class=\"aligncenter size-large wp-image-2671\" src=\"https:\/\/www.animationalerts.com\/wp-content\/uploads\/2021\/08\/Gantt-Chart-700x453.jpg\" alt=\"Gantt Chart\" width=\"640\" height=\"414\" srcset=\"https:\/\/www.animationalerts.com\/wp-content\/uploads\/2021\/08\/Gantt-Chart-700x453.jpg 700w, https:\/\/www.animationalerts.com\/wp-content\/uploads\/2021\/08\/Gantt-Chart-300x194.jpg 300w, https:\/\/www.animationalerts.com\/wp-content\/uploads\/2021\/08\/Gantt-Chart-768x497.jpg 768w, https:\/\/www.animationalerts.com\/wp-content\/uploads\/2021\/08\/Gantt-Chart-1536x994.jpg 1536w, https:\/\/www.animationalerts.com\/wp-content\/uploads\/2021\/08\/Gantt-Chart-649x420.jpg 649w, https:\/\/www.animationalerts.com\/wp-content\/uploads\/2021\/08\/Gantt-Chart-341x220.jpg 341w, https:\/\/www.animationalerts.com\/wp-content\/uploads\/2021\/08\/Gantt-Chart-640x414.jpg 640w, https:\/\/www.animationalerts.com\/wp-content\/uploads\/2021\/08\/Gantt-Chart-681x441.jpg 681w, https:\/\/www.animationalerts.com\/wp-content\/uploads\/2021\/08\/Gantt-Chart.jpg 1621w\" sizes=\"auto, (max-width: 640px) 100vw, 640px\"\/><\/p>\n<p>This category is composed of visualizations that satisfy two constraints: they are linear and one-dimensional. Alternatively known as timelines, they are characterized by events that happen during some time period or given moment. Samples of this type include: Gantt charts, stream graphs, concentric circle graphs, timelines, and line graphs.<\/p>\n<h3><span class=\"ez-toc-section\" id=\"Hierarchical\"\/>Hierarchical.<span class=\"ez-toc-section-end\"\/><\/h3>\n<p><img loading=\"lazy\" decoding=\"async\" class=\"aligncenter size-large wp-image-2672\" src=\"https:\/\/www.animationalerts.com\/wp-content\/uploads\/2021\/08\/Organisational-Chart-700x453.jpg\" alt=\"Organisational Chart\" width=\"640\" height=\"414\" srcset=\"https:\/\/www.animationalerts.com\/wp-content\/uploads\/2021\/08\/Organisational-Chart-700x453.jpg 700w, https:\/\/www.animationalerts.com\/wp-content\/uploads\/2021\/08\/Organisational-Chart-300x194.jpg 300w, https:\/\/www.animationalerts.com\/wp-content\/uploads\/2021\/08\/Organisational-Chart-768x497.jpg 768w, https:\/\/www.animationalerts.com\/wp-content\/uploads\/2021\/08\/Organisational-Chart-1536x994.jpg 1536w, https:\/\/www.animationalerts.com\/wp-content\/uploads\/2021\/08\/Organisational-Chart-649x420.jpg 649w, https:\/\/www.animationalerts.com\/wp-content\/uploads\/2021\/08\/Organisational-Chart-341x220.jpg 341w, https:\/\/www.animationalerts.com\/wp-content\/uploads\/2021\/08\/Organisational-Chart-640x414.jpg 640w, https:\/\/www.animationalerts.com\/wp-content\/uploads\/2021\/08\/Organisational-Chart-681x441.jpg 681w, https:\/\/www.animationalerts.com\/wp-content\/uploads\/2021\/08\/Organisational-Chart.jpg 1627w\" sizes=\"auto, (max-width: 640px) 100vw, 640px\"\/>This category is for visualizations that have its data originate outwards from the root, which is an entity within the data that has no superior nor parent. It can also come in a form where data is categorized in a certain order. Samples of this type include: Tree diagrams, radial trees, cone trees, and flow charts.<\/p>\n<h3><span class=\"ez-toc-section\" id=\"Network\"\/>Network.<span class=\"ez-toc-section-end\"\/><\/h3>\n<p><img loading=\"lazy\" decoding=\"async\" class=\"aligncenter size-large wp-image-2674\" src=\"https:\/\/www.animationalerts.com\/wp-content\/uploads\/2021\/08\/Word-Cloud-700x541.jpg\" alt=\"Word Cloud\" width=\"640\" height=\"495\" srcset=\"https:\/\/www.animationalerts.com\/wp-content\/uploads\/2021\/08\/Word-Cloud-700x541.jpg 700w, https:\/\/www.animationalerts.com\/wp-content\/uploads\/2021\/08\/Word-Cloud-300x232.jpg 300w, https:\/\/www.animationalerts.com\/wp-content\/uploads\/2021\/08\/Word-Cloud-768x594.jpg 768w, https:\/\/www.animationalerts.com\/wp-content\/uploads\/2021\/08\/Word-Cloud-543x420.jpg 543w, https:\/\/www.animationalerts.com\/wp-content\/uploads\/2021\/08\/Word-Cloud-640x495.jpg 640w, https:\/\/www.animationalerts.com\/wp-content\/uploads\/2021\/08\/Word-Cloud-681x526.jpg 681w, https:\/\/www.animationalerts.com\/wp-content\/uploads\/2021\/08\/Word-Cloud.jpg 1057w\" sizes=\"auto, (max-width: 640px) 100vw, 640px\"\/>This category is made of visualizations that show and explain deep, complex connections between multiple datasets through visual representations. Entities are often represented as dots, with lines attaching related ones together, effectively highlighting the relationships between all of them. Samples of this type include Matrix charts, word clouds, and alluvial diagrams.<\/p>\n<h3><span class=\"ez-toc-section\" id=\"Multidimensional\"\/>Multidimensional.<span class=\"ez-toc-section-end\"\/><\/h3>\n<p><img loading=\"lazy\" decoding=\"async\" class=\"aligncenter size-full wp-image-2676\" src=\"https:\/\/www.animationalerts.com\/wp-content\/uploads\/2021\/08\/Pie-Chart.jpg\" alt=\"Pie Chart\" width=\"429\" height=\"435\" srcset=\"https:\/\/www.animationalerts.com\/wp-content\/uploads\/2021\/08\/Pie-Chart.jpg 429w, https:\/\/www.animationalerts.com\/wp-content\/uploads\/2021\/08\/Pie-Chart-296x300.jpg 296w, https:\/\/www.animationalerts.com\/wp-content\/uploads\/2021\/08\/Pie-Chart-414x420.jpg 414w\" sizes=\"auto, (max-width: 429px) 100vw, 429px\"\/>This category has visualizations that have two or more variables under consideration. It can also be split into two types: one which examines the relationship between the data\u2019s variables, and another where proportions or counts are the focus. Samples of the former include heat maps, matrices, area charts, scatter plots, or line charts. For the latter, it can come in the form of pie charts, bar charts, histograms, and treemaps.<\/p>\n<h3><span class=\"ez-toc-section\" id=\"Geospatial\"\/>Geospatial.<span class=\"ez-toc-section-end\"\/><\/h3>\n<p><img loading=\"lazy\" decoding=\"async\" class=\"aligncenter size-full wp-image-2677\" src=\"https:\/\/www.animationalerts.com\/wp-content\/uploads\/2021\/08\/World-Chart.jpg\" alt=\"World Chart\" width=\"601\" height=\"466\" srcset=\"https:\/\/www.animationalerts.com\/wp-content\/uploads\/2021\/08\/World-Chart.jpg 601w, https:\/\/www.animationalerts.com\/wp-content\/uploads\/2021\/08\/World-Chart-300x233.jpg 300w, https:\/\/www.animationalerts.com\/wp-content\/uploads\/2021\/08\/World-Chart-542x420.jpg 542w\" sizes=\"auto, (max-width: 601px) 100vw, 601px\"\/>This category of visualizations is for when actual representations of locations are overlaid with different data points. Samples of this type include flow maps, density maps, and cartograms.<\/p>\n<h2><span class=\"ez-toc-section\" id=\"Creating_A_Data_Visualization_Chart\"\/>Creating A Data Visualization Chart.<span class=\"ez-toc-section-end\"\/><\/h2>\n<p>Once you\u2019ve identified the type best suited to your data, the next step is to actually create the chart. Online tools abound when it comes to data visualization, and here are some of the most user-friendly sites:<\/p>\n<h3><span class=\"ez-toc-section\" id=\"Venngage\"\/>Venngage.<span class=\"ez-toc-section-end\"\/><\/h3>\n<p>Made specifically for business professionals who are looking for a visual solution to convoluted communications. Venngage is an online, <strong><a href=\"https:\/\/www.animationalerts.com\/infographics\/\" target=\"_blank\" rel=\"noopener\">infographic<\/a> <\/strong>designing platform that allows its users to select premade, data-focused image or chart templates and customize them as needed. It makes designing charts accessible.<\/p>\n<h3><span class=\"ez-toc-section\" id=\"Adobe_Spark\"\/>Adobe Spark.<span class=\"ez-toc-section-end\"\/><\/h3>\n<p>An online generator capable of creating a quick and very simple-looking pie chart, donut chart, line graph, or bar graph. Best used for pure utility, as it has no striking <a href=\"https:\/\/www.animationalerts.com\/programming-design-animation\/\" target=\"_blank\" rel=\"noopener\">visual elements<\/a> in place.<\/p>\n<h3><span class=\"ez-toc-section\" id=\"Google_Data_Studio\"\/>Google Data Studio.<span class=\"ez-toc-section-end\"\/><\/h3>\n<p>A feature of the Google Analytics Suite, its main purpose is to assist in converting data into customizable, intuitive, and interactive visual reports and dashboards. An optimal choice when processing huge amounts of data.<\/p>\n<h2><span class=\"ez-toc-section\" id=\"Improving_On_Your_Charts_And_Graphs\"\/>Improving On Your Charts And Graphs<span class=\"ez-toc-section-end\"\/><\/h2>\n<p>Effective data visualization is an exercise in clear, concise, and targeted reporting. People naturally take to images much faster than text, and it takes a lot less attention and effort to do so. It\u2019s all about making sure you are able to curate your data then present it in such a way that it tells a story, or makes a statement without taking up too much time nor space to do so. Aside from that, good data visualization also incorporates and takes advantage of basic design principles in order to highlight pertinent key points to more effectively disseminate information.<\/p>\n<p>The goal is to really capture and communicate as quickly as at first glance, and the best way to do that is to ensure you have elements in place that will direct your audience\u2019s attention to where you want them to go. In the end, there is no one correct way; data visualization is as much an art form as it is a scientific one, but as long as your data is matched to an appropriate visualization then there shouldn\u2019t be an issue.<\/p>\n<h2><span class=\"ez-toc-section\" id=\"Final_Words\"\/>Final Words.<span class=\"ez-toc-section-end\"\/><\/h2>\n<p>So That was an awesome article on how to getting started and understanding different types of visualization using different tools like Google Data Studio, Venngage, etc. If you loved this article, please do not forget to share this article on your social media profiles.<\/p>\n<\/p><\/div>\n\n","protected":false},"excerpt":{"rendered":"<p>In today\u2019s modern, tech-driven world, we manage to create an incredible swathe of data every day. In fact, statistics from the World Economic Forum post that at the beginning of 2020 alone, the number of bytes in our digital universe was 40 times larger than the number of stars in the observable universe. It\u2019s an [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":93018,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[12035],"tags":[11603,44529,2059,233,4796,15510],"dealstore":[],"offerexpiration":[],"class_list":["post-93017","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-animation","tag-data","tag-graphs","tag-guide","tag-pocket","tag-started","tag-visualization"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v26.4 - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>Pocket Guide to Getting Started in Data Visualization Using Graphs - Som2ny Network<\/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:\/\/fivemor.com\/?p=93017\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Pocket Guide to Getting Started in Data Visualization Using Graphs - Som2ny Network\" \/>\n<meta property=\"og:description\" content=\"In today\u2019s modern, tech-driven world, we manage to create an incredible swathe of data every day. 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