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https://irju.jdvu.ac.in/jspui/handle/123456789/10650| Title: | Designing dashboards in tableau for special events of relevant project |
| Authors: | Dey, Asmita |
| Advisors: | Basu, Subhadip |
| Keywords: | Data Visualization;Tableau;Data Analytics;Dashboard Design;Data Reporting |
| Issue Date: | 2024 |
| Publisher: | Jadavpur University, Kolkata, West Bengal |
| Abstract: | Tableau is a powerful data visualization tool that allows users to create interactive and dynamic dashboards, reports, and visualizations from various data sources. Its significance in the realm of data analysis lies in its ability to transform raw data into actionable insights through intuitive visualizations, enabling users to uncover patterns, trends, and outliers in their data. It offers a user-friendly interface that empowers both technical and nontechnical users to manipulate and visualize data without extensive programming knowledge. With its drag-and-drop functionality, users can easily connect to multiple data sources, including databases, spreadsheets, cloud services, and more, and instantly create visualizations that reveal insights hidden within the data. One of Tableau's key features is its support for custom SQL queries, which allows users to leverage the full power of SQL to extract and manipulate data from their chosen data sources. This capability is particularly valuable for data analysts who require advanced data manipulation and aggregation techniques to derive meaningful insights from complex datasets.Using custom SQL in Tableau, analysts can perform a wide range of data transformations, including filtering, joining, aggregating, and calculating new metrics, directly within the Tableau interface. In addition to its data manipulation capabilities, Tableau excels in the creation of visually compelling dashboards and reports. Analysts can use a variety of visualization types, such as bar charts, line graphs, scatter plots, maps, and more, to present their findings in an engaging and digestible format. With interactive features like filters, parameters, and drill-down functionality, users can explore data dynamically and gain deeper insights with just a few clicks. |
| URI: | https://irju.jdvu.ac.in/jspui/handle/123456789/10650 |
| Appears in Collections: | Dissertations |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| M. Tech (Computer Science & Engineering) Asmita Dey.pdf | 1.79 MB | Adobe PDF | View/Open |
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