Handling data gets difficult for companies, and the more the data, the more complicated it gets. Data visualization is what most companies prefer when it comes to handling and arranging company data. It helps with a better understanding of data by turning even the complex one into the graphic form. This article will discuss what is data visualization, its techniques, and various examples of data visualization.

  1. Definition
  2. Importance Of Data Visualization
  3. Need For Data Visualization
  4. Uses Of Data Visualization
  5. Data Visualization Types

1. Definition

What Is Data Visualization?

Data visualization definition, in simple terms, is the graphical representation of any data of a company. The company’s data can be represented in charts, maps, and graphs to help one better understand the data. It can be done with the help of various data visualization tools. Various automated tools arrange the company’s data and help convert it into a graphical format with machine learning and artificial intelligence. There are multiple advantages of data visualization; one of them is making it easier to understand the company’s data. One will always find it more challenging to read a spreadsheet than a graphic representation of the same.

2. Importance Of Data Visualization

Talking about why data visualization is important can help in the long term and work as the backbone of the company.

  • It is the fastest and efficient way to help one understand the data.
  • Data visualization techniques use the raw data and arrange it with an easy to understand visual graphics.
  • The data visualization graphs can help the company know what areas they need to focus on to bring more revenue or growth. It helps with the future prediction of the market, correlating it with the past of the market.
  • Data visualization techniques help the businesses understand their primary audience, which they need to focus on, and where they can earn more revenue.

3. Need For Data Visualization

The company’s data can define the need for data visualization charts and techniques. Business runs on the data they hold. This data can be anything, including the market value of their product, target audience, total sales of the product, highest sales month, or the highest sales area. Based on the data, a company further decides what to do next, what step is required, and which area to focus on and which not to focus on.

Then comes the data visualization techniques, which makes it easier for one to understand the data. Need for the data visualization is based on the market analysis and the data produced by the company. Data visualization helps convert the brand’s essential data or the company to the visual form, which can be efficiently studied by the company’s people.

Various tools can be used to convert the data sets to the graphical form. Without less human efforts, one can easily convert the company’s complex data sets to a graphical form.

4. Uses Of Data Visualization

There are various uses of data visualization, apart from being used in companies. Companies use data visualization to know the market and the audience better, but there are other uses of data visualization. Given below are some daily life uses of data visualization basics that you should know.

  • These can be used to explain the plot of movies. Movies like Marvel’s Avengers, Jurassic Park, and Sherlock Holmes share a deep plot that can be difficult to understand while writing. With data visualization, it becomes easy for the plot writer to help the crew understand the script. Such tactics are used by big movie franchises that release many movies revolving around the same storyline. Take the example of the Infinity Saga by Marvel or DC world. These franchises have more than ten movies revolving around the same storyline, so data visualization techniques are used to understand the plot. 
  • Various fitness gadgets developing companies use the graphic representation of the users’ data. For instance, various fitness bands record users’ sleep and daily activities. Based on this data, these bands with data visualization help understand their sleep pattern and how much daily activity they need to do. 
  • Various colleges use graphical representation of student’s performance to help better understand what areas need more improvement. Various colleges and schools record students’ performance throughout the year and then tell what area they need to focus on more. 

These were some data visualization examples that one might see in real life.

5. Data Visualization Types

There are various types of data visualization charts. Given below are some of the most commonly used data visualization graphs and charts.

  • Bar Charts- Bar charts are rectangular bars used to compare and analyze the related data sets. This works well for comparing two or more values and data with not too many groups. 
  • Line Charts- In this type of chart, coloured lines are used to represent the data. This type of chart can compare related data sets and identify varying patterns and fluctuations. 
  • Scatterplot- This type of chart uses various data points, which highlights similarities in the data set. This helps with showing the relation between two variables. 
  • Sparkline- Companies most commonly use sparkline to analyze the market and their total revenue. For instance, one can analyze their revenue throughout the year with this type of data visualization graph. 
  • Pie Chart- These are also the most commonly used charts, giving the outcome based on the percentage. For instance, pie charts can identify the phone company with the highest and the lowest revenue during the particular quarter of the year. 
  • Gauge- This type of chart can be used to compare two values on the scale. 
  • Waterfall Chart- This can be used to tell the values of a particular thing, including the initial and the final value, which can go negative or positive. 
  • Funnel Chart- This can define a particular process and the steps involved, and how important the particular step is. This can be used to represent how something can move through stages in a particular process. 
  • Heat Map- These charts are mostly used to determine the temperature, rainfall, and the weather when it is to the lowest or its extreme. 
  • Histogram- Histogram is similar to a bar chart; the only difference is that the rectangular bars are separated. This can be used to analyze the data over a certain period. 


This is what data visualization meaning is. Data visualization is being brought more into use as the industries are growing. Data visualization techniques have integrated machine learning and artificial intelligence, which makes it easier for these services to represent the data. Using various data visualization techniques will help companies with representing and arranging their data to promote their growth. Hope this article helps you know why is data visualization important.

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