Homebreadcumb forward arrow iconBlogbreadcumb forward arrow iconData Sciencebreadcumb forward arrow iconTableau Data Visualization: Effective Visualization with Tableau

Tableau Data Visualization: Effective Visualization with Tableau

Last updated:
27th Jan, 2020
Read Time
8 Mins
share image icon
In this article
Chevron in toc
View All
Tableau Data Visualization: Effective Visualization with Tableau

What is Data Visualization?

Data visualization is data expressed in a graphical format. It gets more appealing and instructive to work with the graphical depiction of the data. Visual data elements like tables, graphs, and plans make the data more accessible for the user to understand and interpret. With this understanding, the meaning behind the patterns and trends in visualization provides an illustrious analytical step.

Every industry is dealing with massive sets of data in hand, and this data requires a precise set of tools and techniques in operation. Analyzing and interpreting these vast chunks of data results in data-driven decisions, and they affect every managerial aspect of the company.

An additional requirement of tools ceases with the informative and enlightening ease from a tool that can make use of colours and patterns to interpret the data. You can quickly see the trends in the making, the various visuals that grab our attention to focus on the message help us in analyzing the massive spreadsheet of data.

Data Visualization Benefits

The colours levelled across aligned in unison, depict trends in the data analysis. It is an eye-catching feature that sustains well with the process and helps deliver proper results using vast chunks of data from various sources. Not all massive spreadsheets help achieve excellent results in visualizing data interpretation.

Big Data is here to present its demands. A good visualization helps to represent only the essential parts of data by cancelling noise from the background. Data visualization helps curate stories into a series of charts and graphs that draw the results so clearly with the use of various colours on screen. You can effortlessly spot a drift highlight, distinguishing it from an outlier. 

Different Visualisation Types

As per traditional recognition and understanding of data tools and practices, the simple charts and bar graphs make most of the data review forms. Although these are an essential part of the data visualization form, there is an entire selection of visualization systems to present data in useful and exciting ways. Several popular types of data visualization are tables, maps, infographics, dashboards, etc.

Read: Data Visualization in R

Tableau Products

The mechanisms provided in Tableau Management allow you to gain entrance and authority over almost all the functionalities- user access grants, data source connections, and the visibility that you require to sustain your deployment.

It is not the case of growing complexity in usage with a growing number of users. Tableau fits well into the company’s operational firm fabric to swiftly ascend from small strings to full institutions with thousands of users.

Tableau Desktop is available in three arrangements- (a) an open trial version, (b) access from the desktop for a year(for students and teachers), or (c) a buying option where you can obtain it entirely forever.

As the name implies, Tableau Public, although with no restraints on licensing and charges, it offers to fail to make all your workbooks and data’s unrestricted access to all Tableau public users.

Tableau Online seems a fitting choice that allows you to work on your Workbooks, obtainable from the cloud anywhere and anytime.

Check out our data science courses to upskill yourself.

Using Tableau

Tableau is the sales statistics that your organization needs for profitable analytical decision making. It uses graphs and charts to provide for organizational understanding. You can use Tableau’s worksheets and dashboards to express the data in the form of maps and interactive charts to picturise specific points in inclinations and outliers. Using Tableau can be as simple as a drag and drop operation to work out the parameters in the planning.

With the help of outliers and trends, you can investigate changes and analyze points in data differentiation. The colour variations for individual graphs and to point differences can be put to use to showcase the peculiar results. 

Tableau offers the following possibilities:

  • You can drag and drop the data from a source, furthermore instantly and assuredly transform it into results depicted in the form of optical formations like maps and graphs. 
  • You can blend data from various sources all in one sheet and then process into review
  • With the help of prep builders visual and direct interface, you can easily see all your data.
  • You can work on reorganizing your data quickly with the help of smart grouping algorithms. After this, with the use of prep conductors, you can move on to distribute and program your flows.
  • You can efficiently work with the features available with Tableau for desktop. This featured advantage is helpful from the analysis spot as it provides for the user and others accessing the data in the organization to propose questions and handle variations. The data represented in colours and a visually appealing setup helps to decipher results in a result-driven direction.

Sharing data across dashboards is a guarded functionality provided with the visual tool. You can make use of Tableau applications on the browser, or tablet, or on the mobile phone. This software can then be accessible to your team members and others in the organization to communicate(by discussing issues or asking questions) on the data shared online or on the tableau server. Thinking of learning tableau? Find top reasons to learn tableau in the current market.

The option of choice for a platform to run the software rests with you- if you’re aiming for a wholly hosted solution like tableau online or you want to administer your server in the cloud or on-premises.

Explore our Popular Data Science Courses

Data Visualization with Tableau

Tableau is a compelling visualization software which centers on business intelligence and data interpretation, which is employed and used by industries all around the world.

Tableau allows users to create stunning visualizations instantly with a simple drag-and-drop design. You can make use of the community discussion and many tutorials online to extract features of the benefits of Tableau.  However, there is always a scope of a few basic errors that occur with its operations.

The following are three prime tips for efficient visualization with Tableau.

upGrad’s Exclusive Data Science Webinar for you –

Watch our Webinar on How to Build Digital & Data Mindset?


Eliminating Overcrowding

No one likes a disorderly and congested dashboard. You don’t want ten graphs and fifteen bar charts that fit congested on a single page. Tableau, as a visualization tool, has proven advantageous to numerous business analysts across the globe to reproduce data in a compelling, graphical representation.

Tableau provides users with a feature to use the dashboard by blending discrete graphics to build complicated and interactive visualizations. It allows representing data in a graphic, readable format. This feature appears to be a waste if the dashboard is cluttered and hence confusing to interpret. The hindrance can get eliminated by decreasing title text and deleting the recurring words. A different approach to remove waste is by highlighting the salient facts/figures and exhibiting them in the upper section so that the viewer draws the essential and necessary data reports.

Read our popular Data Science Articles

Expanding Resources

This essential tip is that you ought to focus on collaborating and participating with others for you to grow in the community. As mentioned earlier, Tableau Public allows you to share information with the public. It is a different case if your company has handed sensitive and private documentation that you should not share with others. But, for any general data resources that are not ‘sensitive,’ you can use the platform to share with others in the community and learn from their work.

Choice in Colours and Typography

 A simplistic method of tidying up the dashboard’s quality is to eliminate all duplicate axis. It is vital for data visualization (in any tool) to have clear, well-contrasted colour-mix and be neatly labelled. Tableau permits users to make necessary typographical and colour corrections. With the help of tools like ColorCafe, you must examine the approachability and distinction of your font/colour scheme, if you purpose to exhibit your dashboard to a broad public.

Top Data Science Skills to Learn

Read: How to become a tableau developer?

You can change any font on the graph, add or delete labels to it or modify the titles. The choice of colours that represent the data analysis is crucial from a professional viewpoint. While some colours appear to strike great impressions, some have an opposite effect on the representation outlook, making it feel dull and flat.

Tableau allows a comprehensive exposition of their excellent colour applications and also colour palettes, which you can effortlessly use to blend and create the best of work in one stroke.


Tableau is a software tool that provides a feature where you can transform your data into interactive dashboards. A combination of great analysis and storytelling, the data visualization tool removes noise from the background to help focus only on the essentials.

Tableau rests well with the security feature of the platform. The data that is shared across dashboards by various team members in the organization having its access- goes through a protected and safely entrusted environment. 

If you wish to master Tableau, check out upGrad and IIIT-B’s widely recognized PG Diploma in Data Science which covers various concepts like Data Visualization, Statistics, Predictive Analytics using Python, Machine Learning, Big Data Analytics and more. 


Rohit Sharma

Blog Author
Rohit Sharma is the Program Director for the UpGrad-IIIT Bangalore, PG Diploma Data Analytics Program.

Frequently Asked Questions (FAQs)

1Is coding required for Tableau?

Tableau's core functionality does not need programming. Tableau provides drag-and-drop functionality for creating charts and dashboards without having to know how to code. Tableau users, on the other hand, may use Python and R code to improve visuals and construct models.

2What role does SQL play in Tableau?

Tableau allows anyone to perform advanced visual analysis of SQL Server data, giving everyone access to information. You have the ability to connect Tableau to SQL Server in real time for platform-specific queries, or straight into Tableau's speedy, in-memory analytical engine to reduce the burden on your database. Initial SQL with Parameters is a wonderful new feature in Tableau 9.3 that allows you to define a sequence of SQL commands that will be performed before any queries in a Tableau Server user's session.

3What is Tableau Einstein, and how does it work?

Einstein Discovery is Salesforce's fundamental AI engine that discovers statistically significant patterns in your data that might disclose critical insights and creates strong prediction models. You'll be able to not only comprehend what happened with historical data, but also get a glimpse into the future with forecasts, thanks to Einstein Discovery's integration with Tableau. You'll have an integrated predictive analytics experience for many important use cases with Einstein Discovery in Tableau dashboards, computations, and Prep Builder, allowing employees in your company to make educated choices quicker.

Explore Free Courses

Suggested Blogs

Top 13 Highest Paying Data Science Jobs in India [A Complete Report]
In this article, you will learn about Top 13 Highest Paying Data Science Jobs in India. Take a glimpse below. Data Analyst Data Scientist Machine
Read More

by Rohit Sharma

12 Apr 2024

Most Common PySpark Interview Questions & Answers [For Freshers & Experienced]
Attending a PySpark interview and wondering what are all the questions and discussions you will go through? Before attending a PySpark interview, it’s
Read More

by Rohit Sharma

05 Mar 2024

Data Science for Beginners: A Comprehensive Guide
Data science is an important part of many industries today. Having worked as a data scientist for several years, I have witnessed the massive amounts
Read More

by Harish K

28 Feb 2024

6 Best Data Science Institutes in 2024 (Detailed Guide)
Data science training is one of the most hyped skills in today’s world. Based on my experience as a data scientist, it’s evident that we are in
Read More

by Harish K

28 Feb 2024

Data Science Course Fees: The Roadmap to Your Analytics Career
A data science course syllabus covers several basic and advanced concepts of statistics, data analytics, machine learning, and programming languages.
Read More

by Harish K

28 Feb 2024

Inheritance in Python | Python Inheritance [With Example]
Python is one of the most popular programming languages. Despite a transition full of ups and downs from the Python 2 version to Python 3, the Object-
Read More

by Rohan Vats

27 Feb 2024

Data Mining Architecture: Components, Types & Techniques
Introduction Data mining is the process in which information that was previously unknown, which could be potentially very useful, is extracted from a
Read More

by Rohit Sharma

27 Feb 2024

6 Phases of Data Analytics Lifecycle Every Data Analyst Should Know About
What is a Data Analytics Lifecycle? Data is crucial in today’s digital world. As it gets created, consumed, tested, processed, and reused, data goes
Read More

by Rohit Sharma

19 Feb 2024

Sorting in Data Structure: Categories & Types [With Examples]
The arrangement of data in a preferred order is called sorting in the data structure. By sorting data, it is easier to search through it quickly and e
Read More

by Rohit Sharma

19 Feb 2024

Schedule 1:1 free counsellingTalk to Career Expert
footer sticky close icon