Today everybody knows that the tableau is a powerful BI tool in the IT Market. This tool offers powerful insights for the business. This tool has been upgrading day–to-day.  Recently it has launched a density mark type for the tool to get the powerful insights of the business. Moreover, in some cases, this tool cannot give actual insights into the business. So developers use the density mark type. This is because density mark type brings a new kind of heat maps in the tableau.  The main intention for generation of this heat map is that, to get the accurate insights to the business. This makes the data analyst to make further decisions for effective and efficient analysis of big data. So in this article, I’m going to explain you the use cases of tableau density mark type.

So before we move to the actual topic, let me explain you

What is a heat map?

A heat map is a graphical representation of data. Here the individual values contained in a matrix were represented as colors. The term that map is a new term. But the shaded matrices existed over the century.

What is Density mark type?

The density mark type is a new kind of heat map in the tableau online course. Here we can change the density around the mark by adjusting the size slider to modify the area. Here the marks have an influence. By dropping a measure of color, marks have the influence. Additionally, by adjusting the intensity slider, these marks show more (or) fewer hotspots.

Use cases of Tableau density mark type

In the recent update of tableau ( tableau 2018.3 release) heat-maps allow anyone working with the dense, overlapping data. This makes the sense of data concentration.  Besides, it makes easier, to recognize the spatial patterns in geographic data. Here one thing to be noted that, heat maps were not limited to the use of maps. You can use them on scatter-plots, dot plots and many more !!!!!

Today, its simple to create a heat map in the tableau.  Simply, you can change the mark density and you can go off. Just change the density around the mark by adjusting a size slider, to modify the area. And if marks have an influence, apply the weight by dropping a color measure. (or) show more (or) fewer hot spots in the data, by adjusting the intensity slider. Additionally, we can also create a new color palette, designer for light and dark backgrounds. Moreover, it contains additional features like filter pages and small multiples. All these work effectively. Use cases of Tableau density mark type

Mapping latitude and Longitude :

Today, it’s common for the municipal governments to share the thematic data about the events. Incidents and operational activity with the public. For example, New York Toronto shows the increasing transparency through open data. According to the recent reports, researchers took some public data available in the market. In this analysis, they decided to look at the 311 calls. And all these 311 calls happened over the past six years. And all these represent the minor problems to be fixed. when the data scientist connects to the tableau, using mapping latitude and longitude.

But the problem with this map is that it is hard to make a sense of any pattern in data without filtering. So within the data, to get the spatial concentration, its good to use filters. And these filters can filter issues. Finally, these two issue types are difficult since data points appear to cover similar locations. But with heat maps, spatial concentrations are instantly recognizable. You just need to Use cases of Tableau density mark type.

Heat maps were good to understand the spatial patterns. Moreover, it can take you a step further, and show how the patterns change over time. Using pages, you can easily move through the abandoned vehicle issue. This states the number of accidents happened over the year. Moreover, with pages density is calculated for the entire dataset. This helps to see the relative comparison over the data.

And additionally, this has application in Scatter plot, NBA shots, Data plot and so on ……..

So get all those applications from the real-time experts of OnlineITGuru through Tableau online training

Recommended Audience:

Developers

Project managers

Data Analysts

Non- BI Professionals

Prerequisites: 

It’s better to have a basic knowledge of analyzing and maintaining the data for implementation purpose. In practical no, Programming skills were required to learn this course.  It’s good to have knowledge of the use of Excel or the worksheets to understand the entire design of Tableau. Trainers will train you if don’t have a knowledge of Excel.

 
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