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When you talk about data visualization tactics then the first word that strikes your mind is Tableau. I am guessing why you might be here reading about Tableau and how it can help you with data visualization in the best possible way. You must have heard of the advantages of Tableau, this is the right time to explore more about Tableau.
So here in this tableau tutorial for beginners we are going to discuss in detail about tableau public and list of data visualizations and a complete list of popular Data Visualization Tools.
The concept of Tableau can always be best understood by reading the data visualization concepts first. So, let us start our discussion with a quick introduction to Data Visualization and a complete list of popular Data Visualization Tools.
Let’s begin with tableau online tutorial
Data Visualization is considered one of the important aspects of data analysis. This is always important presenting data in an easy and most appealing format. This is one of the important skills that are necessary to master by data scientists to achieve the business goals quickly. Let us take the concept a little deeper ahead.
According to SiliconAngle, more than 50 zettabytes of data has been produced by the end of 2017. Data is mostly produced by websites or cross-platform transactions. This is taken as the fact that more than 20 billion smart devices are connected with the Internet as of today and the number could be more baffling.
With data analysis, you could understand better about end-users. In brief, data visualization bridges the gap between users and products with effective visualization and data summary. In the example given below, there are four tables and their corresponding graphs are also given below.
With the help of a graph, you can quickly find how data is arranged together and which type of pattern among data values. With the right information, this is always easy making decisions and putting the efforts in the right direction.
Once you discussed all popular tools in brief, now the question comes which tools should you use for your organization. I must say Tableau is just an amazing choice here. Here is given in more detail why Tableau?
Visualizations: When you are connected with multiple data sources, it is easier to visualize large datasets than it is done by the Microsoft Power BI. You just have to download the data worksheet and apply various visualizations to the data. Further, this is always easy switching between multiple visualizations and find the most significant solution that suits your organization the most. Also, visualizations can be created with multiple colors, style, and labels as needed by professional websites.
Discover Critical business Solution: The tool helps you to analyze the data in-depth and investigate the data visualizations. You can also check the basic trends or predictions hypothetically and the dynamic data too for quick comparisons.
Automation Features: Tableau is just an intuitive platform in making calculations or predictions. When calculations are performed on a table it can be applied to all data sources and this is easy to analyze and work with recurring processes. The tool is highly flexible in helping users in creating custom reports and this feature is not available in most of the tools.
Effective Implementation: The implementation process of the tool is divided into four major steps and the deployments are just a matter of hours with Tableau.
Native Connectors: The tool has plenty of native connectors to clean, pull, and organize data from multiple sources. Tableau extracts large datasets by two methods mainly – Live Connection and In-Memory. It also has an open database connection ODBC, if you are not interested in using native connectors.
The five popular products of Tableau familiar are Tableau Desktop, Tableau Reader, Tableau Server, Tableau Public, and Tableau Online. Let us discuss each of the products one be one in detail below -
A). Tableau Desktop
This is a more powerful business analytics tool that can be used by almost anyone. It can translate the picture into optimized queries and you can connect with data directly for live data analysis. Also, you could perform queries on the database with a single line of code. In brief, you had the flexibility of importing data from multiple sources by combining multiple views within an interactive dashboard.
B). Tableau Reader
This is a free desktop application that helps you in enabling visualizations built on the Tableau Desktop. Also, you could drill or filter the data but you cannot edit data or perform any type of interaction.
C). Tableau Server
This is an enterprise-level software where you could Dashboards with Tableau Desktop and spread them with the help of Tableau Server. It has the capability of leveraging databases with Live Connections. Tableau developed the server so that all the functionalities can be done for tableau and it helps to hold the data with the available memory. If you want to know more about tableau server, you can visit Janbask Training and will find tableau server tutorial in detail.
D). Tableau Online
This is the hosted version of Tableau Server useful for making BI much faster and easier than earlier. To share the published Desktop with colleagues, this hosted version is actually helpful.
E). Tableau Public
This is again a free Tableau product that is needed to make visualizations and helps you in saving worksheets within Tableau Server that can be viewed or accessed by almost anyone.
Tableau Public is for anyone who is interested in understanding the data and sharing that data with the world. Journalists, bloggers, any student, and many more can work with tableau public.
Let us start our discussion with Tableau Data Types that are supported by the software. Refer to the diagram below for a quick look at popular data types in Tableau. Now data types can be further categorized as Measures or Dimensions. A measure is usually a number and Dimension is text. In simple words, Dimensions are needed to add more details to describe the data in detail.
There are three popular mantras that will help you in understanding Tableau better –
Datamatics – A use case for Tableau
Datamatics is the largest world bank based on market capitalization, stock investments, and securities. It is giving services in all major areas of investment like mutual funds, IPO, equity, derivatives, etc. In a dynamic world, tracking the latest market trends is taken as the highest priority by clients. A solution is needed that can provide hassle-free, and accurate data visualizations.
The bank is unable to meet the latest market trends and regulatory requirements. It is further delaying the decision-making process too. Now Tableau was selected by the Datamatics to find the solution. As we know, Tableau is a leading data visualization tool in the market. Based on needs, different dashboards, graphs, or charts were created at different levels and daily needs were managed proficiently for different departments like never before. In this way, Tableau improves the decision-making process and the overall performance of a business.
With this discussion, we come to an end for the topic “Tableau Tutorial for beginners Guide”. I hope you enjoyed reading the blog and learned all the important concepts related to Tableau Software. With deep understanding, you can learn how to make proper insights, dashboards and many more. You also take certification on tableau to upgrade your skills and learn more about tableau.
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