Data Visualization and its Importance
Data visualization can be defined as a representation of data or information in a graph, chart, or other visual format. It communicates relationships of the data with images. Trends and patterns can be easily seen and that’s why it’s so important. With the rise of big data upon us, we need to be able to interpret increasingly large amount of data. Machine learning machine makes it easy for us to conduct analyses such as predictive analysis, which can then serve as helpful visualizations to present. But data visualization is not only important for data scientists and data analysts, it is also necessary to understand data visualization in any career. Almost all industry like finance, marketing, tech, design, or anything else, you need to visualize data. That fact showcases the importance of data visualization.
Why do we need data visualization?
There are many reasons for which we need to visualize data but most of the time we do to get summary of information which helps us to identify patterns and trends than looking through thousands of rows on a spreadsheet. It’s the way the human brain works. As the main role of data analysis is to get insights, data becomes much more valuable when it is visualized. Even if a data analyst can pull insights from data without visualization, it will be more difficult to communicate the meaning without visualization. Different charts and graphs make data findings easier even if you can identify the patterns without them.
Almost all students in undergraduate are often taught the importance of presenting data findings with visualization. Without a visual representation of the insights, it can be hard for the viewers to get the actual meaning of the findings. For example, rattling off numbers to your boss won’t tell them why they should care about the data, but showing them a graph of how much money the insights could save/make them is sure to get their attention.
Survey Data Visualization:
Almost every company now days do survey to collect business related information. Most popular survey tools are surveymonkey, qualtrices, google form etc. But problem comes when they need to get insights from those survey data. Visualizing survey data is not possible in those software properly. That’s why you need data visualization tools such as Tableau, PowerBi, Qlik etc. But those BI tools are hard to learn and also take time to complete that’s why VizualSurvey has brought a solution to us. Here you just have to upload your survey data and it will clean and transform data so that you can visualize in those BI tools. They have also prebuilt templates so you can just connect transformed survey data and start visualizing.