Updated April 18, 2023
What is Data Visualization With Tableau?
Data Visualization with Tableau is the process of presenting information through visual rendering. For centuries, people have used visualizations such as charts and maps to understand information more quickly and easily. As far as the human brain is concerned, it recognizes visual data more rapidly than text data.
As more data is collected and analyzed, this data visualization with a tableau system is welcomed by most decision-makers. It helps decision-makers determine the relevance among the millions of variables and communicate concepts and hypotheses. This also lets them decide about the future.
There is also one more type of data visualization, which is called Interactive Visualization. This method goes one step ahead of the standard data visualization with Tableau. It moves beyond the display of just static data representation. Instead, it interacts with the users, changing the data immediately and letting them know how it is processed.
Importance of Data Visualization With Tableau
Technological developments in the current scenario have made data visualization more powerful; thus, it improves business intelligence. There are a lot of reasons why businesses use Data visualization definition. A few are listed down for you.
- Visualization helps people to understand things clearly and have a better insight into the topic.
- Visualization helps to predict the future quickly and make better decisions.
- Data of large volumes can also be spotted easily and quickly.
- Data visualization universally conveys information.
- It makes it simple to share ideas with others.
- Data visualization lets people know where to adjust their business for better results.
- It provides scalability.
- It makes interpretation easy.
Data Visualization Free Tools
Why do you want to invest in data visualization-free tools? Can’t you use the traditional Excel method to protect your data?
Today’s data visualization-free tools are far ahead of traditional standard graphs and charts. Now a day’s, data are displayed in more sophisticated ways like data visualization infographics, sparklines, heat maps, detailed bars, and others. Interactive data visualization free tools allow users to engage with data for querying and analysis. Data visualization free tools help to bring together your data from different channels and provide endless and quick flexibility.
Software vendors who provide business intelligence software also include data visualization as a part of their product. They either develop their visualization technology or outsource it from companies specializing in data visualization types.
There are a lot of data visualization free tools available in the market. We have listed a few top data visualization free tools.
- MicroStrategy Analytics Desktop
- Qlik View
In this article, we will learn about one of the best data visualization tools – Tableau.
What is Tableau?
If you plan to create interactive data visualizations, then Tableau is a great place to start. It is one of the most popular and powerful tools created by Tableau software. It offers tools that include a net connection, desktop, and server version. It connects easily to any data source like Microsoft Excel, corporate data warehouse, or web-based data.
Tableau provides an easy drag-and-drop interface that converts your data into business insights. It delivers the visualized data in a more appealing format called a data visualization dashboard.
Tableau can connect to local or remote data in different formats. Tableau can also convert live data into up-to-date visualizations.
Data Visualization Types Benefits and Features of Tableau
Tableau is an industry leader in the field of business intelligence. It is becoming the standard for data visualization. Now let’s see the important features of Tableau that are intuitive and powerful.
1. The visual analysis in a click: Tableau analyzes data logically and efficiently. The data is converted into visualizations in less development time. Making quick visualizations is an excellent advantage of Tableau.
2. Interactive dashboard: Tableau’s beautiful interactive dashboard quickly gives results. The dashboard will also show you rich visualizations. The data visualization dashboard will provide you with in-depth knowledge of the data.
3. Easy use: Some data visualization tools make data analytics hard, but Tableau makes it more accessible. It reduces unnecessary complications. Tableau uses a drag-and-drop interface, which offers a user-friendly environment. One can use Tableau if he knows the basics of MS Excel.
4. Direct connection: Tableau connects users to databases, data warehouses, and other sources. It does not require any complicated setup.
5. Deals with big data: Tableau can analyze enormous data effortlessly and visualize it better than any other DVT.
6. Publishing and sharing: The dashboard can be published live on the platform the user is accessing. The results can also be shared live.
7. Deals with all types of data: The interface of data visualizations Tableau has a fast data engine that extracts data from various sources with unequal instincts. All the data is created equal in Tableau.
8. Trending in the market: Tableau is growing rapidly in the business analytics market. It is being used in all industries now. Many top-rated companies like Microsoft, Nokia, and Deloitte use Tableau to meet business intelligence requirements.
9. Interactive visualizations: One of the essential features of Tableau is its ability to create more beautiful data visualization types. It produces attractive and functional visualizations that will help the user make decisions.
10. Smart Maps: Tableau also lets you search in the map or lasso data points. It will help to get an answer to the geographical question “Where ?”
11. Works across multiple platforms: Tableau can be accessed by users through desktop, browser, iPad, or mobile phone. This feature has created a revolution in the data analytics industry.
12. Copying between dashboards: Tableau lets you copy the worksheets or any dashboard elements between workbooks. Because of this feature, you need not start everything from scratch if you have other business analysts using the data visualization types software. You can also have seamless interactions between the dashboards.
13. 64-bit version: Tableau allows you to choose between 32-bit or 64-bit versions. The version downloaded depends on the OS. In a 32-bit OS, you can install only the 32-bit version of Tableau. The 64-bit version has a lot of memory space and improves the speed.
14. SAML Authentication: SAML authentication lets users create a single sign-on in a mixed infrastructure environment. This will allow the Tableau server to mix into your core business areas and internal applications.
15. Metadata Management: Tableau lets you rename the fields and modify the formats quickly and easily. You can also create subsets of data by selecting groups of points.
Creating a Dashboard in Tableau
Follow these steps to create a dashboard in Tableau
Download Tableau or use a free trial version of the tool. Tableau is available for Windows; the other users must depend on a virtual machine.
Connect to your data
When starting with Tableau, you can choose from various data sources to connect to. The best thing is to start with Google Analytics Data.
Tableau uses the OAuth method to connect with Google Analytics – log in using your Google account info.
Extract the data
The next step is to choose the dimensions and measures of the data you want to analyze.
- Dimensions include landing pages, source, medium, City, country/region, and date.
- Measures include visits, bounces, exits, page load sample, load time, page views, time on page, and unique page visits.
The data set will depend on the dimensions added.
Get to know about the workspace of the tool.
The Tableau workspace divides into three major sections: data, settings, and visualizations.
You can view two sets of data on the left side of the screen, dimensions on the top and measurements on the bottom of the screen. The columns and rows are located near the top of the screen.
Data visualization with Tableau
You can visually see what the traffic by medium looks like.
To do this, drag and drop the data visualization types icons to the columns and rows sections at the top of the screen.
Drag the medium icons into the columns section and visit icons in the rows section.
This will let you know the data in a visual form. You can also find more exciting data representations.
You can also color the medium by dragging the medium from the columns area to the color area. This will let you compare the data easily.
Enhancing your data
The raw data includes just the numbers, and there is much to do with the raw data, like aggregation. For example, the raw data will provide the number of bounces but does not provide a bounce rate. But Tableau gives you an answer to this problem. It has a calculated field where a variety of calculations can be done.
You can do behavioral segmentation to give a new dimension to your data visualization definition with Tableau.
Segmentation of data
Tableau is very effective in data segmentation. There are a lot of ways to segment your data. For example, landing pages, blog behavior, and bounce rate are a few ways to segment data.
The calculated field option is a beautiful feature of Tableau, which lets the users dynamically segment their data. You can do a lot of calculations, and various powerful functions are available. Another exciting feature of this option is once you edit or refresh your data, all these fields will be recalculated.
One of the great features of Tableau is the Filter option. It lets you filter data in real time.
There are two data visualization definition methods for filtering your data in Tableau.
- In the first method, drag and drop the element you want to filter in the filter region and then select your option.
- In the second method, there is a quick filter option. To do this, right-click on any element you want to filter and select the option Add to quick filter. The tool will automatically add the piece to the filters in the right-hand column.
This function will help you mainly in data visualization with tableau presentations to answer questions.
Quick Visual options
You can quickly begin creating visualizations with the “Show Me” option in the Tableau tool. This option is located in the top right side corner of the screen. It contains different types of visual that the tool offers. Moving the cursor over the visuals will reveal the data required to use that particular type of visual.
There are a few data visualization definitions for making your visual data look the best and give you the best result.
- Include the data size and cardinality.
- Find out what you want to visualize and what information you want to convey.
- Know about your audience.
- Convey the information in a simple format that will let your audience understand it easily.
The visual representation will help you get answers to your business questions like Where do I need to concentrate? What is the volume of sales?
This will also give one a deeper insight into the data and help make better decisions in business.
The bottom line of this article is Data Visualization with tableau is an art and science by itself. The article will help you get started with the Tableau tool. What are you waiting for? Take a dataset and reproduce your reports. You will be impressed by this tool. Before going for data, determine your target and the questions to be answered. This tool will help you to uncover some interesting findings. You will understand the power of data visualization with Tableau.
Get started with Tableau now.
This has been a guide to Data Visualization with Tableau. Here we have discussed the basic concept, importance, free tools, and dashboard creation in Tableau. You may look at the following articles to learn more –