Hey! Do you want to know What is Data Visualization? Definition & Examples and Data Visualisation Tools.
What is Data Visualization?
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Data visualization is a technique for understanding and getting insights from the data in a better way. The techniques used today are highly advanced, allowing the users to interactively discover the data, and also help in the real-time evaluation of big data.
Data visualization is a standard term that we can use for any graphic that helps us in understanding or getting new insights from the data. Al can help sort, classify, and analyze the data, but it is not meant to understand the data. Only humans can understand the data. Here the Al system designers can be helpful.
With the help of big data, the Al systems, along with suitable data visualization, can find out newer insights and arrive at better conclusions. The two most basic data visualization forms are graphs and charts. They are used to present the primary cause-and-effect relationship, trends, comparisons, etc.
Data visualization is straightforward when very few parameters are involved, e.g. the fluctuation in sales over some time, or the total income and expenditure of the company. Nevertheless, real-life data is the most complex, and here the power of data visualization comes to our help.
for a better understanding of the concept of data visualization imagine that you are witnessing the Independence Day Parade.
As you watch you are analyzing multiple data on a real-time basis. You are receiving visual data through your eyes. Your ears are also providing you with data originating from different sources. You receive multiple sensations from your body.
The experience of attending the ceremony, and your judgment of the quality of the parade, remains incomplete unless the whole of the information gets analyzed. The visualization becomes difficult when the data we receive is complex. The first step in simplifying this complexity deals with segregating the parameters from the features of these parameters.
The parameters acquire the form of the element of the data, and the features become the characteristics of these elements. The second step for its simplification is evaluating the different parameters and finding out the parameters that are put the most impact on the project goals or objectives.
TOP 7 Data Visualization Tools
Data visualization tools help us in the second step of decreasing complexity, i.e., selecting the parameters that are most important for our goals or objectives. This is done by categorizing the different parameters into similar groups and showing the differences between these groups.
In every dataset, these will be parameters or elements which will be more critical from the viewpoint of the goal, and the other elements that will not be similarly significant.
1. Microsoft Excel
Microsoft Excel provides a variety of graphs and smart objects for data visualizations. Nevertheless, it is limited by the fact that it requires structured data for work. These tools will not work with big data.
This software is regarded as the grandmaster of data visualization. It has a customer base of nearly 60,000 accounts on the last count. This is simple to use and can create interactive visualization, which is unmatched by its rivals. It is capable of handling large frequently updated data users.
This is the second major player in the data visualization market. It boasts more than 40.000 customers in more than 100 countries. Qlikview is known for its capability of customization and expensive features.
This is none of the favorites of the media industry. Its strength lies in its ability to use CSV data for creating charts and maps.
6. Microsoft Power Bl
Power Bl is a data visualization tool offered by Microsoft. It has a free version that can be downloaded and used by anyone.
This is a data visualization tool offered by Google, and it is a part of the Google Marketing Platform.
So that’s all about What is Data Visualization? Definition & Examples and Data Visualisation Tools.
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