What is Visualization Methods | How can i visualize the things in 2022

Data Visualization means representing the data in the form of a Graph. In data visualization, we have data points and processed information that we can present in the form of graphs for more user understanding. Data Visualization makes users easily and quickly understand the concept or idea of the data. 

Data Visualization is only good if you have exact and clear meaning and its usage and also it is very to analyze and interpret. If we have just data then we take some time to understand it and sometimes many users did not understand it because they don't have any knowledge about it but if we convert that data into the form of a graph or figure then everyone can easily understand it if they have knowledge about it or not. 

Example of Data Visualization

1. Pie Chart
2. Line Chart
3. Bar Chart
4. Graphs
5. Histograms
6. Heat Map
7. Scatter Plot

Real-Time Data Visualization Example

1. The most used and important example of Data Visualization is Videos. We have YouTube which consists of billions of videos or more and we also have google which consists of articles and we have a topic to understand then we can search for it on google as well as on YouTube but we prefer YouTube Video because we understand it more easily as compare to the article available on the google.
2. Art
3. Cinema
4. Philosophy
5. Computer Games

The goal of Data Visualization

The goal of data visualization is with the help of this data users can understand and remember difficult things. This concept is very unique because at the start user faces many difficulties in memorizing the data but with data visualization, this problem is removed. I also face difficulty in remembering things but when I use the visualization method I remember every thing. 

Characteristics of Visualization Methods

1. With the help of the visualization method, users can compare different types of data.
2. Visualization Methods can integrate verbal and statical data sets.
3. As we know that our attention can only divert the pictorial data as compared to the textual data so the Visualization method grabs the attention of the user on that data because humans can bored if they still study the textual data so the visualization method is very effective.
4. Visualization can show the data very clear way which can easily understand by the users.
5. If we use the Visualization method then we can highlight the target area that needs to be focused.
6. Visualization methods take less time compared to textual data.

In data Visualization methods we present both numerical and categorical data that help us reduce risks of analysis paralysis. 

Data Visualization

1. Numerical Data
2. Categorical Data

 1: Numerical Data in data visualization

If we have data in the form of numerals like height, weight, etc. numerical data is also recognized by quantitative data. If we have data in numbers then we can easily present that data in the form of a graph. We can use this method to help others to understand easily the big amount of data. We have large Data also sometimes available in raw form then we can convert that data into the form of a graph.  Numerical Data is further classified into two categories which are: 

The first one is continuous data. In Continuous Data we can take any value from the given values which include length, height, and temperature. Some continuous data are changed the time to time according to their need. The most common example of continuous data is baby age change time by time and also room temperature.

The second one is discrete data. In discrete data, our value is distinct and separate. Discrete data is not continuous data. An example of Discrete data is the number of cats, number of females, and number of glasses or jugs.

Importance of Data visualization

Right now data visualization is the most used method for understanding things. This will help users to understand and take decisions. If you used this method also then trust me you will never forget anything in your life ever again.

2: Categorical Data in data visualization

1. Binary Data
2. Nominal Data
3. Ordinary Data

• In binary data, our data is consist of agrees or Disagrees. 
• In Nominal Data our data is consist of two points whether female or male.
• In ordinary Data, our data is consist of in-order form examples already sorted.

Advantages of Data Visualization

1. Easy to understand by people.
2. Reduce less time.
3. Explore Results with Presentable.
4. Easily Understand which data have to be included and which have to be excluded.
5. It can also be used in data mining for Pre-processing.

Data Visualization Tools

1. Qlik Sense Tool
2. Zoho Analytics Tool
3. Tableau
4. Domo Tool
5. Microsoft Power BI Tool
6. Klipfolio Tool
7. Sap Analytical Cloud Tool
8. Sisense Tool

Methods of Data Visualization

1. Let's Discuss Bar Graph. In Bar Graph the value we are presenting is proportional to its length. 
2. A stacked Column is like a stacked bar and the value or data available in the Stacked column is horizontal.
3. An Area Chart is a combination of a line and bar chart and is used for detecting the change in values from time to time.
4. In Scatter Plot we used dots for representing values. If we want to detect some similarities meaning the relationship between two variables then we can use scatter plot chat. 
5. In Heat Map we used a data visualization technique to present the magnitude of the phenomenon in two dimensions as a color. The most important purpose of a Heat Map is to visualize the location.
6. In Funnel Chart takes the linear process. In Funnel Chart we start from a wide range and at the end, we have a very narrow ending.
7. In the bubble chart we used bubbles for representing the relation between two or more two variables.
8. In TreeMap we have sales data and provide a fast perception of the given item.

TYPES

There are different types of Visualization Chart as follows:

1. Line Chart
2. Bar Chart
3. Pie Chart
4. Column Chart
5. Stacked Chart
6. Bullet Chart
7. Mekko Chart
8. Scatter Chart
9. Bubble Chart
10. Dual-Axis Chart
11. Stacked Bar Chart
12. Histogram
13. Heat Map
14. Gantt Chart
15. Box Plot
16. Area Chart
17. Pictogram Chart
18. Word Cloud
19. Network Diagram
20. Whisker Plot
21. Timeline
22. Choropleth Map
23. Correlation Matrices
24. Highlight Table

How can I visualize?

If you don't remember things and you always forget the main data that you have to remember then try to visualize all those things in your mind. If you don't know what is visualization and how to visualize things then read this full article. You can remember the big data by creating an image in your mind same like a story. If you make an image in your mind then you will never forget things whether you are in exams or you are presenting something always use visual methods.

How can you train other minds to visualize things?

If you have to deliver the lecture and your audience never gets the main idea. Then you have to adopt the visualization strategy. It means you have to deliver your idea in the form of a story which will help your audience to easily understand it and also your audience will never be bored. If you have visualization power you will easily remember things and it will also help you to get good marks in exams.

Conclusion

The visualization Method is the best way of conveying important things. Visualization same work as a story. Stories never bore any user same visualization method can grab the user's attention. We have many visualization tools that we can use to make that graph. We have also many Types of Visualization Methods. So for better understanding use the visualization method.