The basics of data visualization

What is data visualization? Data visualization is an important part of data analytics, as it is extremely helpful to individuals to quickly understand large amounts of data in easier forms. When looking at an unstructured, messy dataset with thousands of numbers, it can be difficult to effectively comprehend what the data is trying to tell you. However, data visualization can simplify the means of analyzing a dataset as it helps people interact with and better understand the information, whether simple or complex!

Data visualization is typically presented in different forms of graphs, from bar graphs to scatter plots, and pie charts to histograms, and it allows individuals to easily able to identify trends and observe any patterns. Some other examples of data visualization graphs include line graphs, used for tracking trends over time, heat maps, useful to show patterns in a matrix of data, and choropleth maps, used to easily visualize how a variable looks over a specific geographic area.

To conclude, there are many types of data visualizations that are useful in data analysis, and it is a key aspect in the subject. It helps individuals better interpret the data, and have a better understanding of what the data is showing. Whether one is just learning the basics of data analytics or is a senior data analyst, data visualization is used almost all the time.