As an entry-level tool, it can be a good way of quickly exploring data, or creating visualizations for internal use, but the limited default set of colors, lines and styles make it difficult to create graphics that would be usable in a professional publication or website. You can actually do some pretty complex things with Excel, from ‘heat maps’ of cells to scatter plots. Let us know a little bit about all of them.īasic version of Tableau data visualization tool is free which can perform regular tasks such as: Here are the top 5 data visualization tools that are being used extensively in BI: Tableau Tutorial: Introduction To Data Visualization Tools It wasn’t possible for us to figure out the nature of each line until we visualized it. You see how different they look like when you actually visualize it. So, now take a look at the image below when we plot these points in our graph: The numbers look almost the same, don’t they? Maybe the lines will look similar after we plot each set on the graph. The following image shows the x and y co-ordinates of different points to be plotted on a graph. Let us consider the following example to understand this: Data visualization bridges that gap and makes people appreciate the possibility of data analysis. The outcome of data analysis is not immediately comprehensible to the people who do not directly deal with data. Add to it the fact that there would be a total of 20 billion “smart” devices connected to the internet by the end of 2020 and the numbers can be baffling!ĭata visualization allows data scientists to converse with their end users. To put things in perspective, this data has largely been produced by websites and cross platform transactions. Let me first give you an idea of the kind and amount of data that we are dealing with. According to SiliconAngle, there was 2.5 zetabytes of stored data world over in the year 2012 and it is set to hit more than 50 zetabytes mark by the end of 2017. Data visualization is one of the skills that Data Scientists have to master in order to communicate better with the end users. It has always been important to present the data in an understandable and visually appealing format. Importance Of Data Visualizationĭata Visualization is one of the most important part of data analysis. Let us first start this Tableau tutorial by understanding the concepts behind Data Visualization. ![]() In this Tableau Tutorial, you will be learning the following topics: Hope you will enjoy learning about Tableau with this Tableau Tutorial blog. This is my first blog in this Tableau Tutorial blog series which will explain how to get started with Tableau. I am guessing that’s why you might be here reading this Tableau tutorial because you have heard about the advantages of Tableau. The demand for Tableau certification training is at peak because of its increasing adoption in the market. ![]() When you talk about Data Visualization, the first word that comes to your mind is – Tableau.
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