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Top 4 Tableau Things That Changed the Way I Visualize Data

Top 4 Tableau Things That Changed the Way I Visualize Data

I love Tableau. I found it to be amazing and the best way to visualize data and develop fabulous reports and analysis. 4 years and still counting, I have come across various advanced features and concepts regarding Tableau, which actually enhanced the way I see Tableau as a fantastic tool for data representation. If I could go back in time and preach 4 Tableau concepts, this is what I would have liked to cover:

The fight between Green & Blue

Tableau differentiates. The differentiation is subject to the types of fields used in a view. Green data fields are continuous, while the blue ones are separate. The green ones give out gradient colors, axes and range filters, whereas the blues result in headers, multi-select filters and categorical colors.

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The Importance of INDEX function (and its close associates)

Though I have scavenged through every available functions of Tableau in order to become a Tableau maestro in my early days, I knew I hadn’t made proper use of the functions INDEX, FIRST and LAST, until now. The main purpose of INDEX is to create a rank, irrespective of any order in which your items need to be displayed on the screen or by any other measure. It is thoroughly flexible and gives you enough room to sort, screen and put up your data in ways not possible otherwise.

While you drag and drop, Tableau writes a query language

Tableau is an intelligent visualization tool. It incorporates all kinds of latest, breakthrough technologies that assists in creating complicated visuals out of languorous data sets with just a simple drag and drop interface. However, on closer look, you will find that Tableau makes use of the data using a form of SQL and then gives shape to your data on screen with an ‘interpreter’.

Just incorporate a measure on label, a dimension on rows and write a query on the line of

SELECT Region, Sum(Sales) FROM Orders GROUP BY Region

You can also put another dimension straight on the filter shelf and it will come with a WHERE clause. After some classification, you get an ORDER BY.

Order of operations

Tableau always performs in an orderly manner – things are done here in a certain manner, and this order eventually helps you in creating a perfect view that will fetch you the desired results. Whether you add fields to your view or filter shelf or do custom calculations, all the items are calculated simultaneously.



Things are treated in the following order:

Context filters will generate a temp table in the source
Top N and/or conditional filters make a part of the SELECT command in the query
Standard filters are used as a WHERE clause
Aggregations are ciphered
Table calculations are implemented
Table layout and axes are etched
Anything on the Pages shelf is held accountable
Marks are then sketched

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So, this is it! I figured out these functions, which helped me to derive the best out of Tableau. If you too had a Eureka moment, then feel free to let us know.

Of course, you might not be familiar with databases and SQL yet you can still become a Tableau expert without nailing the basics, but if you possess a bit of data analysis knowledge then our Tableau training courses Gurgaon can help accelerate your knowledge further. For more, check Tableau BI training courses by DexLab Analytics Delhi.

 

This article was sourced from – www.theinformationlab.co.uk/2013/01/28/5-things-i-wish-i-knew-about-tableau-when-i-started

 

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5 Sure-fire Ways to Develop a Powerful Customized Web Analytics Dashboard in Tableau [VIDEO]

Let’s kickstart creating a custom web analytics dashboard!

 
5 Sure-fire Ways to Develop a Powerful Customized Web Analytics Dashboard in Tableau [VIDEO]
 

This blogpost consists of all the resources you will need to build your own web analytics dashboard – some of the resources we have used ourselves and some we have culled down from the web.

Continue reading “5 Sure-fire Ways to Develop a Powerful Customized Web Analytics Dashboard in Tableau [VIDEO]”

5 Quick-Fire Tips and Tricks from Dashboard Specialists

No two dashboards are similar. They cater to different audiences, serves distinct purposes, and address individual problems as unique as you.

 

5 Quick-Fire Tips and Tricks from Dashboard Specialists

 

In this blog post, we will talk about the 5 best practices to apply right now to create attractive dashboards, and engage users effectively.

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Text Adventure – Using Control Flow In Python

Python wascreated by Guido van Rossum and first released in 1991.Python, as a programming platform, has gained a huge popularity within a short span of time because of its flexibility and the user-friendly interface. The software can be deployed easily for developing statistical models and machine learning algorithms

 
Text Adventure- Using Control Flow In Python
 

In fact, due to the advent of AI and ML, Python has a language has had a certain kind of rebirth as far as industrial use is concerned. Today, however, the focus is going to be on a particular section of the language, namely the control flow to create a basic system in Python.

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Tableau: The intelligent tool of business

Tableau: The intelligent tool of business.
 

Tableau plays a very crucial role in data intelligence, data representations, data visualizations, and data modelling. The time has gone when folks used to draw graph, charts, on excel and variant types of resources or tool. Because provide us live data source accessibility with number of data sources like – spark, Google Products, Social network, programming language (R,Python,JAVA) whereas tableau uses VIZQL in background to speed up the performance. So now the time is to move towards Business Intelligence.As of now, you don’t need to worry about either data or data sources.

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5 Ways to Enhance Value of Your Dashboards Using Maps

Today, an effective dashboard is mostly insight-driven. And since a good lot of analysis projects stand upon spatial data, playing with maps is an indispensable skill you need to have in your visualization toolbox.  

 
5 Ways to Enhance Value of Your Dashboards Using Maps
 

Here, we will like to share a few handy tips to improve the analytic and aesthetic value of maps in your dashboard:

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What to Do and What Not to Do With Data Visualization

What to Do and What Not to Do With Data Visualization

Data Visualization can be your bow and arrow provided you know the exact way to use it.

In modern day scenario, data visualization has become the crux of efforts – raw data in various forms and statistics tends to be incredibly powerful, but only if you decide to work with them as a whole. After all, it’s not just the numbers but the story behind those numerical figures that reveals something. So, you require data visualization to brush up these notions and turn them into something more compelling to target audience. Data Visualization makes your messages more attractive, lively and enhances the impact, along with keeping your audience hooked.

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Wanna Talk to a Database? Tableau Acquires ClearGraph

Wanna-Talk-to-a-Database
 

For 14 years, Tableau has solely focused on helping people understand their data better. To take this mission a notch higher, this August, Tableau announced they have acquired ClearGraph, a robust Palo Alto startup that facilitates smart data discovery and data analysis through Natural Language Processing (NLP). They have decided to work with ClearGraph team to incorporate its cutting edge technology into their own products to make data interaction easier via natural language, query technology. Continue reading “Wanna Talk to a Database? Tableau Acquires ClearGraph”

The Alliance between MongoDB and Tableau Makes Visual Analysis Easier

The Alliance between MongoDB and Tableau Makes Visual Analysis Easier
 

After a volley of speculations, in 2015 the BIG revelation was made – MongoDB, the database for mammoth ideas has partnered with Tableau, the master in visual analytics to make visual analysis of rich JSON-like data structures easier directly in MongoDB. This is a fascinating telltale about a leader in modern databases for robust application development teaming with a leader in rapid-fire visual analytics to serve users’ better.

 

 

Recently, the two global tech players are again in the news – Tableau certified MongoDB’s connector for BI as a “named” connector, which means users for the first time can visually analyze rich JSON-like data structures incorporated with modern applications directly in MongoDB Enterprise Advanced. “Data is a modern software team’s greatest asset, so it needs to be easy for them to both store and visualize it in performant, flexible and scalable ways,” said Eliot Horowitz, CTO, MongoDB. He further added, “With Tableau’s certification of the MongoDB Connector for BI, executives, business analysts and data scientists can benefit from both the engineering and operational advantages of MongoDB, and the insights that Tableau’s powerful and intuitive BI platform make possible.”

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