Data Visualization: An Overview
Data visualization uses graphical methods to communicate data. Data visualization has been useful in communicating data and knowledge at an accessible level. (Lavanya 2015). Diagrams, graphs and diagrams are all possible formats for data visualization. It allows us to quickly identify patterns and trends that wouldn’t be easily visible in a table or spreadsheets (Lalor and McGee, 2021). Data visualization allows us to see connections and patterns between data values. Data visualization is a vital tool to easily represent large volumes of data. Data visualization is used across many fields, from engineering to business. You can get new insight from your data and create opportunities such as market analysis and segmentation. Data visualization can also be very beneficial in communicating complicated scenarios to a large audience (Vaccaro & Holmes 2019, 2019). Users can harness the power and understanding of data visualizations in order to get the best insight possible from their data. It is clear that data visualization has become an essential tool for many industries. Users can communicate powerful data-driven insights through it. Data visualizations allow organizations to monitor and draw useful information from their data. References Lavanya, L. (2015). Visualization: More insight from data. Communications of the ACM. Vaccaro, C., & Holmes, A. (2019). Rethinking data visualization. Sharing stories that help us understand. International Journal of Human–Computer Interaction, 35(5), 324-341. Lalor, S., & McGee, B. (2021). Exploring data & its visualization techniques. The International Journal of Advanced Engineering Science and Technologies, 9(2): 81-84.