With so much information proliferating in the data analysis market, it becomes important to paint a picture that we can present and show. That’s when data visualizations come in!
Data visualization represents data or any other information presented in the graph, chart, or any visual format. It helps in communicating the relationship with data, pictures, and images.
How Data Visualization Important?
With the rise of data, we have to be able to interpret large batches of data. Data visualization helps businesses identify data trends, which otherwise would be a hassle. Also, with the rising need for lots of data in every field, keeping track of a quintillion of data becomes difficult. That’s when data visualization branching out all fields where data exists. The picture representation of data sets helps businesses and analysts to represent new patterns and concepts. A graphic, dashboard, infographics, charts, maps, videos, slides, etc. any medium can be used to visualize and represent data.
Here Are Three Main Areas Where Data Visualization Is Important:
For Analyzing Data In A Much Better Way:
Analyzing data and reports help business and stakeholders focus on the areas that need more attention. The visual representation helps in understanding the main points that are needed in the business. So, whether you are creating a sales report or creating a marketing strategy, the visual representation of data helps many companies boost their sales and profits by making better decisions.
Quick Decision-Making: Reports, the human brain process visuals much faster than other hard-to-read reports and tables. So, if you are communicating data in a better way, businesses and decision-makers will be able to take quick action on the basis of data. This further helps in the growth of business and more leads.
Depicting Complicated Data Into Simpler Ones:
Data visualization helps businesses get insights into a huge amount of data. It helps them identify new patterns and errors in the data. Using these patterns, users will be able to pay better attention to the not working appropriately or good. This process further helps in taking the business to new heights.
How data Visualization Is Used:
Some of the most common ways of using data visualization are:
It Trends Over Time:
One of the most common and basic uses of data visualization is that it changes with time. Since the data has evolved a lot over time, analyzing the change helps to gauge the data trends over time.
Helps To Determine Frequency:
Measuring frequency is another most common use of data visualization as it also applies to the change in data with time. If the time has changed, it becomes logical that you should keep an eye on how frequent this happens with time.
Determining Correlations:
Finding correlation is a quite valuable use of data visualization. While it is very difficult to identify the relation between two variables, finding a relationship in the data analysis is important.
Scheduling:
When planning or scheduling complex projects, things get confusing. However, with data visualization, you can clearly illustrate every task within the projects. You can also determine the time it takes to complete the project.
Examining The Network:
Data visualization is also quite popular in examining a network. Data help a business know their audience and how to target them with a message. This further will help them analyze the market and identifying the influencers with the clusters, outliers, bridges between clusters, and more.
Analyzing The Risk And Value:
Evaluating difficult metrics like risk and value needs various variables to get in, making it difficult to go through a simple spreadsheet. However, with data visualization, you can easily evaluate risk and opportunities through color-coding.
What Are Various Charts Involved In Data Visualization:
There are a plethora of tools that can be used to create data visualization. While some are manual, others are automated and help make difficult things easy and manageable through visualizations. Some of the most common ones are:
Area Chart:
An area chart is the adaptation of a line chart where the area under the line is filled to enhance its significance. The colors filled in every area should be transparent so that the overlapping areas should be minimized.
Line Chart:
A line chart is a simple line graph that changes with time. In this, the X-axis defines the period of time, and the Y-axis is the quantity. You can use this to illustrate the sales of a company in a specific month, a year or to identify the number of units produced in a factory.
Bar Chart:
This defines changes with time; it is used for defining more than one variable and make comparing easy at every moment. You can use a bar graph to compare your company’s sales from the current year to the past year.
Scatter Plot:
A Scatter plot is used to identify the data correlation. The relation is defined between two axes, ‘X and ‘Y.’ The points trend in a certain manner, and create a graph using that points. If the plot is completely scattered and shows no trend, it means that the variables are not affecting each other and show no relation.
Histogram:
A histogram also looks like a bar graph and helps to measure frequency with time—the x-axis of a histogram showing ‘bins’ or intervals of that variable. However, the y-axis defines the frequency.
Bubble Chart:
A bubble chart is the adaptation of a scatter plot, where every point is shown as a bubble whose area has a special meaning when placed to the axis. The only limitation associated with the bubble chart is the size of bubbles that occur due to limited space in between axis.
Conclusion:
Data visualization gives us a clear idea of what information means by giving proper visual context in the form of maps and graphs. This makes data clearer and natural for the human mind to display and comprehend data within large data sets.
Lastly, effective data visualization is the most important step in analyzing data. Without it, you might lose all the important insights and messages.