Tableau is a popular data visualization and business intelligence software widely used for quantitative data analytics.
Tableau is used for data analytics and visualization in the following ways:
- Data connection and integration: Tableau can connect to various data sources, including databases, spreadsheets, cloud-based data repositories, and web data connectors. Users can import and integrate data from multiple sources to create a unified data set for analysis.
- Visualization: Tableau offers a vast array of visualization options, including bar charts, line graphs, scatter plots, heat maps, maps, and more. Users can customize the appearance of visualizations, such as colors, labels, and formatting, to effectively communicate insights.
- Dashboards and storytelling: Tableau allows users to create interactive dashboards combining multiple visualizations into one view. Additionally, Tableau supports the creation of data stories, where users can guide others through a series of visualizations to convey a narrative.
- Mapping and geospatial analysis: Tableau has strong geospatial capabilities, allowing users to create maps and analyze data based on geographical locations. Users can plot data points on maps, customize map layers, and perform geospatial analysis.
- Integration with R and Python: Tableau integrates with R and Python, allowing users to leverage the advanced analytics and machine learning abilities of these programming languages within Tableau.
- Data sharing and collaboration: Tableau Server and Tableau Online provide platforms for publishing and sharing Tableau workbooks, enabling collaboration and ensuring that insights are accessible to a broader audience.
- Real-time data analysis: Tableau supports real-time data analysis, allowing users to connect to live data sources and visualize changes in data as they occur.
List of recommended resources #
For a broad overview #
This paper, by C. Rajeswari, Dyuti Basu and Namita Maurya, does a comparative analysis of the two popular data analytics tools: Tableau and R.
This paper gives a broad understanding of the data visualization tool of Tableau particularly focusing on its use in the field of economics.
This insight article by Tim Stobierski for Harvard Business School Online gives a brief overview of the top data visualization tools used by business professionals. Some notable tools include Microsoft Excel, Tableau, and Datawrapper.
For in depth understanding #
This in-depth tutorial by edureka! gives critical understanding of the data visualization tool of Tableau for beginners.
Daniel G. Murray, in his book, provides a comprehensive guide to using Tableau for data visualization and analytics. Murray gives step-by-step guidance towards the best practices and techniques for this easily accessible data visualization tool.
Case study #
This paper by Joy Kazadi and Elizabeth Kleemeier studies various applications which can study information regarding water points. The data collected can then be analyzed and visualized through softwares such as Tableau or SPSS.
This paper by Donyo Ganchev uses the data visualization tool of Tableau to present visualization techniques of properties of plant protection products for the purposes of safe and effective selection of pesticides towards different abiotic, biotic and antropogenic conditions.