What is Data Visualisation?Before explaining data visualization, let’s dive into data science and understand it. Data science is the process of analysing raw data with the purpose of drawing insights and conclusions about that set of data using statistics and machine learning techniques. The insights and concussion drawn are used largely for data-driven research and decision-making. But everyone can’t understand statistics, numerics or large chunks of written conclusions, so visualization came into practice to make the insights and conclusions understandable to all.Data visualization is the graphical representation of information and data in a graphical format like charts, graphs, maps, timelines, flowcharts, etc. Data visualization tools give a clear idea of what is a message with its visual content, making it easier for the human mind to comprehend. It also makes it easier to identify trends, patterns and outliers within the large data sets.
Why is data visualization important?Let’s put ourselves in a situation. You spend 10 hours collecting data on the marketing strategies used by your company and your competitors. You collect the data, organise them and also successfully draw conclusions. Now you have to present it to your boss and investors, and you put out junk numerical and written data at their sight; they end up not understanding anything and are overwhelmed with the data. And all your 10 hours of work go in vain. When you convert the data table into a graph or lime-line, demonstrating the result of every strategy used in the past, it would have made it easy for them to understand. So, data visualisation is essential to assist businesses in identifying the data trends, understanding the insight and planning their actions accordingly. Not just for businesses, even for individuals and government organisations, information is the most significant leverage. With visualisation, one can prolifically convey their message and derive the desired output from it. Along with this, visualising the data will enable the people to interrelate the data to understand and interpret the message conveyed most accurately. So the importance of data visualisation can be briefed into three major points.
Analysing data in a better way
Faster decision making
Understanding of complicated data