{"id":56,"date":"2024-10-02T02:58:24","date_gmt":"2024-10-02T02:58:24","guid":{"rendered":"https:\/\/openbook.ums.edu.my\/essentialsofdatavisualizationwithtableau\/chapter\/chapter-1-creating-your-first-visualization\/"},"modified":"2024-11-26T06:08:02","modified_gmt":"2024-11-26T06:08:02","slug":"chapter-1-creating-your-first-visualization","status":"publish","type":"chapter","link":"https:\/\/openbook.ums.edu.my\/essentialsofdatavisualizationwithtableau\/chapter\/chapter-1-creating-your-first-visualization\/","title":{"raw":"CREATING YOUR FIRST VISUALIZATION","rendered":"CREATING YOUR FIRST VISUALIZATION"},"content":{"raw":"
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By the end of this chapter, readers will be able to:<\/p>\r\n\r\n

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  • Download and install Tableau Public<\/li>\r\n \t
  • Connect a data source file to Tableau Public<\/li>\r\n \t
  • Identify some key interface components in a Tableau workbook<\/li>\r\n \t
  • Create their first visualization<\/li>\r\n \t
  • Save created visualizations to their Tableau Public profile<\/li>\r\n \t
  • Change aggregation types for data analysis<\/li>\r\n \t
  • Perform a simple drill-down analysis of the underlying data<\/li>\r\n<\/ul>\r\n<\/div><\/td>\r\n<\/tr>\r\n
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<\/a>Business <\/strong>I<\/strong>ntelligence and <\/strong>V<\/strong>isual <\/strong>A<\/strong>nalysis<\/strong><\/h2>\r\n

Business intelligence (BI) refers to the use of various systematic procedures and technologies to gather, analyze and present data to gain meaningful business insights. It, therefore, promotes data-driven decision-making within a business organisation.<\/p>\r\n

Data visualisation is one crucial component of BI. It involves the conversion of massive-sized raw data into graphical information using various traditional or advanced charts, graphs, geo maps, dashboards, etc. In the context of business, data visualisation helps in the detection of hidden correlations between various business performance metrics, business trends, outliers in the data etc., which enables the users to make better-informed decisions.<\/p>\r\n

Data visualization also enables users to efficiently communicate data insights across different levels of an organization. Charts and graphs can simplify complex information from the available raw data, making it easier for the audience to ingest and digest the presented information.<\/p>\r\n

There is a wide range of powerful, modern data visualisation tools available in the current marketplace, including Tableau. These modern tools can help in producing traditional and advanced visualisations as per a user\u2019s needs. More importantly, these tools allow the users to interact further with the visualisations to seek the needed information. For instance, they can drill down into specific data points or filter the visualisations based on certain criteria.<\/p>\r\n

The figure below summarises the connection between BI and data visualisation, and three popular modern data visualisation tools.<\/p>\r\n\r\n

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<\/a>Tableau As a Visual Analysis Tool<\/strong><\/h2>\r\n

Chris Stolte, Christian Chabot, and Pat Hanrahan founded Tableau Software in 2003 intending to enable users to visualize and comprehend their data effectively. Below are several advantages offered by Tableau:<\/p>\r\n\r\n