{"id":105,"date":"2022-11-05T00:08:52","date_gmt":"2022-11-05T00:08:52","guid":{"rendered":"https:\/\/preetheme.com\/wp-demo\/hasty-it\/?p=226"},"modified":"2023-08-11T10:25:15","modified_gmt":"2023-08-11T10:25:15","slug":"exploring-data-visualization","status":"publish","type":"post","link":"https:\/\/trainingdatascience.com\/exploring-data-visualization\/","title":{"rendered":"Exploring Data Visualization"},"content":{"rendered":"
Exploring data visualization is a process of taking data collected from various sources and presenting it in a graphical and visual form. In this process, the data is usually organized into tables, diagrams, charts, and other visuals. Data visualization enables researchers to gain a better understanding of information and create strategies for decision-making. It enables them to gain insights into complex data sets by quickly noticing patterns and relationships between the various attributes.<\/p>\n
Data visualization is a powerful tool that helps the viewer explore and interpret data in an efficient and easy-to-understand way. It is used to display data in the form of graphs, charts, maps, diagrams, or other visual representations. Scientists use data visualization to explore complex datasets and identify trends in their research.<\/p>\n
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After the data is collected, it is then transformed either through summarization, structuring, or coding. Finally, the transformed data is then presented graphically to appeal to the viewers and create a better understanding of the data. . There are various visualization techniques used to achieve this such as bar graphs, line graphs, scatter plots, pie charts, gauge charts, bubble charts, and network diagrams. It can be a useful tool for data-driven organizations and those that want to gain a better understanding of their data.<\/p>\n<\/div>\n","protected":false},"excerpt":{"rendered":"
Exploring data visualization is a process of taking data collected from various sources and presenting it in a graphical and visual form. In this process, the data is usually organized into tables, diagrams, charts, and other visuals. Data visualization enables researchers to gain a better understanding of information and create strategies for decision-making. It enables […]<\/p>\n","protected":false},"author":1,"featured_media":44,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[13],"tags":[14,15],"_links":{"self":[{"href":"https:\/\/trainingdatascience.com\/wp-json\/wp\/v2\/posts\/105"}],"collection":[{"href":"https:\/\/trainingdatascience.com\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/trainingdatascience.com\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/trainingdatascience.com\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/trainingdatascience.com\/wp-json\/wp\/v2\/comments?post=105"}],"version-history":[{"count":4,"href":"https:\/\/trainingdatascience.com\/wp-json\/wp\/v2\/posts\/105\/revisions"}],"predecessor-version":[{"id":223,"href":"https:\/\/trainingdatascience.com\/wp-json\/wp\/v2\/posts\/105\/revisions\/223"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/trainingdatascience.com\/wp-json\/wp\/v2\/media\/44"}],"wp:attachment":[{"href":"https:\/\/trainingdatascience.com\/wp-json\/wp\/v2\/media?parent=105"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/trainingdatascience.com\/wp-json\/wp\/v2\/categories?post=105"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/trainingdatascience.com\/wp-json\/wp\/v2\/tags?post=105"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}