Data Visualization

Data Visualization 

Introduction 

Data visualization is the way to derive big data in the form of a graph. The data which is analyzed is converted into the visual format to explain other people better. Data visualization is used majorly to define big data in the form of information graphics, information visuals and statistical graphics. It is one of the steps towards data science. The data is collected, processed and modelled. It must be in a visual form while the conclusion can be made. It is the element of the broader Data presentation architecture (DAP), which helps to identify, locate, manipulate, format and deliver data in the most efficient way possible. Data visualization is almost important for every career, it can be used by teachers, marketing agencies, to also define big data in the most efficient way and analyse and explain to the personnel, in the case of teachers the test results can be displayed and worked upon in the later stage of class as well as performance. When it comes to the marketing agency the data about the keywords, the number of users visiting the website (traffic), can be analysed and depicted in the graphical format. (KBrush,2020) 

How do people understand Data visualizations? 

Generally, people are seeing the data in two manners first is whether the data is conceptual or data-driven and another one is, whether you are declaring something or exploring something. These two questions help. People visualize data and develop simple goals. Data visualization is used in emerging technologies that is collecting the current data, to assume the future or to predict the data that what will happen when it comes to certain technologies. The FOUR types of data-driven format are explained above. How data visualization helps people, sometimes when it comes to the cooperate world managers generally have the focus on declaring data. (SBerinato,2016) 

Data Visualization Methods 

1) Area Chart 

2) Bar Chart 

3) Timeline 

4) Text tables 

5) Heat table 

6) Dot distribution map 

7) Highlight table  

And many more.... 

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Data Visualization tools that are used 

Source: 

1) Tabluea Destok is the platform that allows having data published of 1-2 web pages, it does not create interactive maps. 

2) Quilkview 

This tool helps to get new business insights, accelerate analytics and increase the accuracy of the results. The interface is the “drag and drop” which helps us to collect data without doing the coding. 

3) Microsoft Power BI 

This is the type of tool that helps with business intelligence data. It is used for self data analytics and predictive analytics. It acts as a self-repository for all the business data and shares it with the business partners. This can develop centralized data which can be good for a centralized data system. 

There are multiple Data visualization tools available, these are the top three which are also available in the free versions(CDcosta, 2022) 

Creating stories for Data visualization 

There is a five-way process to create the data visualization story 

1) Review your data 

The raw data should be viewed first and make the data-driven story, then you can ask questions like how can use the data to drive the plot twists, is it showing trends or patterns, can I show them with the graphical representation. 

2) Develop the story  

With the plot points above, the raw data, the young marketers can develop creative stories that can appeal to the target audience and help with the data-driven story to understand much better with the character development. 

3) Build your Framework 

1. Underline your key sections 

2. Define copy for each section to frame your data and make your story 

3. Determine the most relevant data points you want to key points 

4. Develop the introduction copy that sets the plot for your story. 

4)Data Visualization method 

Depending on the data we must use the relevant method like graphs, infographics, single data sets and informational graphics and many more methods that are discussed above. 

5) Create your visual work 

Work with the designers to make the framework look more interesting and aesthetically pleasing. This will help the presentation look much better and make your data less boring.

The points mentioned above can be used to define the data in a more accurate manner as well as creative ways via design, storytelling developing the "plots", and also many people who are doing research in emerging technology is using this approach to define data in a more accurate yet less overwhelming method. (M.Brenner, 2016) 

Conclusion 

Data visualization is the best way to derive the analysis of anything from small businesses to large cooperation. The patterns can be useful for defining the visual data in the form of a story from the teacher to the CEO that can define in aesthetically pleasing data. The data visualization not only gave people access to the vast amount of data but also the data in a form of a completely different perspective, which will help people in their business to develop perfection when it comes to their field no matter what field you are in. We use data visualization in order to achieve more traffic towards our website and we strategize using the same rules with our clients with the help of what keywords have what amount of volume. Our agency completely believes in the protocol that first we use and then help our clients to achieve it. We do experiment but when we come out with results, we make sure that we use the right results to level you up in the online business. We are the fresh agency that develops strategies that will help you grow the online restaurant business or you are an aspiring business entrepreneur to start the business online and want to see how it grows we have many data visualization methods as well as data analysis with the perfect blend of the right keywords for the SEO optimization for the business that you will run, we will back you with perfect techniques to achieve your business goals.

 

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Author: Shivika Gupta

 

References 

Kate, B., 2020. [Online] 

Available at: https://searchbusinessanalytics.techtarget.com/definition/data-visualization [Accessed 15 February 2022].  

Scott, B.,2016 [Online] 

Available at: https://hbr.org/2016/06/visualizations-that-really-work [Accessed 15 February 2022] 

Unknown, [Online] 

Available at : https://www.tableau.com/learn/articles/data-visualization [Accessed 15 February 2022] 

Clarie D,C [Online] 

Available at : https://towardsdatascience.com/8-best-data-visualization-tools-that-every-data-scientist-should-know-2287c9c45cc4 [Accessed 15 February 2022] 

Michael B, 2016 [Online] 

Available at : https://marketinginsidergroup.com/content-marketing/how-to-create-story-driven-data-visualization-5-steps/ [Accessed 16 February 2022] 

 

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