{"id":3947,"date":"2018-07-24T12:40:28","date_gmt":"2018-07-24T16:40:28","guid":{"rendered":"https:\/\/solutionsreview.com\/business-intelligence\/?p=3947"},"modified":"2018-07-31T12:29:10","modified_gmt":"2018-07-31T16:29:10","slug":"the-5-best-data-visualization-software-tools-to-consider","status":"publish","type":"post","link":"https:\/\/solutionsreview.com\/business-intelligence\/the-5-best-data-visualization-software-tools-to-consider\/","title":{"rendered":"The 5 Best Data Visualization Software Tools to Consider"},"content":{"rendered":"

\"The<\/p>\n

Part of selecting the best data visualization software tool for your organization is making sure it aligns to business objectives. There a wide variety of great data visualization solutions out there that focus on a specific use case or niche in the market. However, just because a specific set of capabilities works for one organization does not necessarily mean it will make do for another. The first step in the vendor selection process is to identify those providers whom offer products for your environment specifically. This ensures the best-fit and an excellent launch point for future deployments.<\/p>\n

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\"Download<\/a><\/p>\n<\/div>\n\t\t<\/div><\/div><\/p>\n

One place to begin your search for the best data visualization software is G2 Crowd<\/a>, a technology research site in the mold of Gartner, Inc. that is backed by more than 400,000 user reviews. G2 provides a handy Crowd Grid<\/a> for data visualization that is broken down by deployment size and includes small business<\/a>, mid-market<\/a> and the enterprise<\/a>. This is an excellent starting point to purchasing the right solution and one we definitely recommend<\/a>. The standings rotate on a rolling basis so check back often if you are in-market. These are the five data visualization tools included in G2’s Crowd Grid that we think you should consider first for any enterprise deployment.<\/p>\n

RStudio<\/a><\/strong><\/p>\n

RStudio<\/a> is an integrated development environment for R that includes a console, syntax-highlighting editor that supports direct code execution, and tools for plotting, history, debugging and workspace management. RStudio is available in open source and commercial editions and runs on the desktop or in a browser connected to RStudio Server or RStudio Server Pro. RStudio is a project affiliated with the Foundation for Open Access Statistics.<\/p>\n

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Infogram<\/a><\/strong><\/p>\n

Infogram<\/a> is a data visualization provider that allows organizations to create charts, infographics, maps and reports. They service a wide range of customers including marketers, educators, journalists, consultants and business professionals. The platform features more than 35 interactive charts and 500 maps, including pie charts, bar graphs, column tables, and word clouds. Infogram also offers more than 20 ready-made design themes that can be branded with logos, colors and fonts.<\/p>\n

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Golden Software<\/a><\/strong><\/p>\n

Golden Software<\/a> is a provider of scientific graphics tools that specializes in the development of software that transforms simple and complex data into understandable visuals. The company’s flagship data visualization tool is called Grapher<\/a>. Grapher provides more than 70 different 2D and 3D graphing options to best display your data. It also features extensive analysis charts, tools, and statistical capabilities to identify trends.<\/p>\n

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Google Data Studio<\/a><\/strong><\/p>\n

Google Data Studio<\/a> allows organizations to connect data from spreadsheets, analytics, Google Ads, Google BigQuery and more. Users can transform raw data into metrics and dimensions needed to create reports and dashboards with the need to code or query. The product features pre-built data connectors, calculated metrics, data visualizations and Google Explorer, a space to explore data with granular detail.<\/p>\n

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Jupyter<\/a><\/strong><\/p>\n

Project Jupyter<\/a> is an open source project born out of the IPython Project in 2014 as it evolved to support interactive data science and scientific computing across all programming languages. It is developed in the open on GitHub through the consensus of the Jupyter community. The software is free to use and released under the modified BSD license<\/a>.<\/p>\n

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\"Insight<\/a><\/p>\n<\/div>\n\t\t<\/div><\/div><\/p>\n","protected":false},"excerpt":{"rendered":"

Part of selecting the best data visualization software tool for your organization is making sure it aligns to business objectives. There a wide variety of great data visualization solutions out there that focus on a specific use case or niche in the market. However, just because a specific set of capabilities works for one organization […]<\/p>\n","protected":false},"author":23,"featured_media":3948,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"inline_featured_image":false,"footnotes":""},"categories":[4],"tags":[35,354],"acf":[],"yoast_head":"\nThe 5 Best Data Visualization Software Tools to Consider<\/title>\n<meta name=\"description\" content=\"These are the five best data visualization software tools from the G2 Crowd Grid we think you should consider first for enterprise deployment.\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/solutionsreview.com\/business-intelligence\/the-5-best-data-visualization-software-tools-to-consider\/\" \/>\n<meta name=\"twitter:label1\" content=\"Written by\" \/>\n\t<meta name=\"twitter:data1\" content=\"Tim King\" \/>\n\t<meta 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