Data Visualization in Tableau (Research Paper Sample)

Data Visualization in Tableau
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Data Visualization in Tableau
Abstract
Tableau is a visualization and data analytics platform. There are three versions of Tableau: Tableau Online, Tableau Public, and Desktop. Tableau emerges with a very intuitive drag-drop layout that makes it simple to master. Using Tableau Desktop, even the most advanced data analysts can create dynamic, interactive visualizations. Tableau makes it easy to create hierarchies to quickly access and analyze your data. Tableau supports various data types: string, number, geolocation, Boolean, and DateTime/date. May draw a constant line by dragging and dropping it on a certain X or Y-axis. Hovering over a point on a graph brings up a box with information about that point; this is essentially a tooltip. Our dashboard allows you to add photos, weblinks and customize the text, title, and colour. Using Tableau, you don't have to worry about losing your work if you forget to save it manually. At the same time, you can see how to use Tableau and create a Story Point! You may save a Tableau worksheet to your computer by going to File> Save. By default, Tableau publishes the File as a .twb. To publish the story to Tableau Server, go to Server, Publish Workbook/click Share in the toolbar. If you want to master Tableau, you need to practice with various data sets. This will help improve your ability to analyze and display data quickly and effectively.
Introduction
Our objective as Data Analysts is to acquire the findings from our dataset so that anybody who encounters them can quickly comprehend their consequences and how to react to them. Tableau is a visualization and data analytics platform. It's the industry's top (33 percent share of the market accompanied by Power-BI) visualization and data analytics tool. Tableau emerges with a very intuitive drag-drop layout that makes it simple to master and that you can operate on practically any sort of data with Tableau. This makes it an ideal option for data analysts.
Literature Review
Getting Tableau up and Running on Your Computer
Tableau offers a wide range of services to meet our specific company requirements. There are three versions of Tableau: Tableau Online, Tableau Public, and Desktop. Tableau's use relies on the nature of the project. Using Tableau Desktop, even the most advanced data analysts can create dynamic, interactive visualizations of their findings. Your findings may be shared with the remainder of the firm so that everyone from employees to the CEO can see the data that counts most in their role(Batt et al., 2020). After downloading the Tableau configuration from the link, you must accept the agreements and licenses before you can even begin using Tableau. A picture of the home screen you would receive after installing is shown below.
If you see this HomeScreen after installation, you're OK to go:
How to Begin Using Tableau to Create Data Visualizations
How to import tables in Tableau? Across the post, we'll be drawing on data from the worldwide superstore, which is ideal for academic reasons. You can see an example of data loading and preparation in the picture below. We can do some feature extraction, preprocessing, and data cleaning once the data has been loaded. There are many sections on the Tableau work page. Data Source: We may add, amend, and delete data utilizing Data Source. Icons in the toolbar allow you to execute various actions simply by clicking on them(Beard & Aghassibake, 2021). You can select which information to include in the Filters shelf and omit. Marks Card: The data elements of the display may be changed using the marks card.
Tableau: Creating Visuals/Graphics
Tableau supports various data types: string, number, geolocation, Boolean, and DateTime/date. Using the tools in the picture above, you may alter the axis name, direction, size, and whether or not the axis is visible. What's on the marks card: The colour button delivers distinct colours to various categories and measurements; the size button is often used to give a size that relies on a significant value. It is possible to show more data without changing the table's structure by clicking the Details button. Tableau makes it easy to create hierarchies to quickly access and analyze your data. Calendar data in Tableau is an instance of hierarchical data that can explore by selecting the "+" option on the properties tab to go today, month, quarter, or year(Datig & Whiting, 2018). To substitute a calculation's constant value, you may use a workbook variable called a parameter. These variables include numbers, dates, and strings. We can build our custom fields when working with calculated fields in Tableau (column). Using Tableau's if/else, switch, case/date/level of dimension, and date/time comparison tools are essential for our visualization. For example, we may use the above-displayed formatting options to change the font style and colour of the labels, the font size and colour of the axis lines, and many other aspects of the data.
Utilizing Tableau for Data Analysis
Tableau has various analytical tools, including forecasting, clustering, trend lines, average lines, and constant lines. May draw a constant line by dragging and dropping it on a certain X or Y-axis. Whether we look at the general trend, we can see if it's rising or declining. Tableau makes it simple to create maps using geographic information, such as a geolocation field (state, city, country, etc.). May the display's colours depend on categories and the magnitude of the measured data.
Additionally, it may also determine the colours of various states depending on the total sales volume on the map(Holster & Mortimer, 2018). Hovering over a point on a graph brings up a box with information about that point; this is essentially a tooltip. It adds information to the tooltip by dragging a field over the Tooltip button.
Using Tableau to Create a Custom Dashboard
Our dashboard combines several views with legends, interactivity, and filters all on one page. With completely interactive capabilities, it allows us to see all perspectives on a similar page simultaneously. Let's take a look at a real-world example.
Create a panel in Tableau by following these steps:
1. A new dashboard will be created when you click on the "new dashboard" button.
2. Change the dashboard layout. If you have a large enough screen, you may pick from various pre-determined sizes.
3. If you look to the left, you'll find that all of our visualizations (viz) are readily available for you to drag and drop onto the dashboard.
4. You may add as many sheets to our dashboard by dragging them there.
5. A floating item may be put anywhere on the dashboard by switching to floating mode after clicking on the sheet.
6. You can customize the layout in the bottom left corner of our dashboard. Our dashboard allows you to add photos, weblinks and customize the text, title, and colour. Floating sheets may help you manage dashboard areas and layouts more easily(Kokina et al., 2017).
Our dashboard has a variety of visualizations that may filter. Here, you may find more information about the dashboard.
Storytelling in Tableau
A narrated tour of one or perhaps more