Whenever we are working with data, visualization is often a necessary part of the analysis. Visualization is a quick and easy way to convey concepts in a universal manner, especially to those who aren’t familiar with your data. Visualizing the data, by plotting the selling price versus age, could definitely shed some light on the relationship that exists between the two.
Then it would become pretty difficult to understand how age affects price. However, say you wanted to use data from the entire town of 500 houses. If your data included 1 block of 5 houses, it wouldn’t be too difficult to get a sense of what is going on. Data visualization is a useful way to help you identify patterns in your data.įor example, say you are a real estate agent and you are trying to understand the relationship between the age of a house and its selling price. Often a data set will include multiple variables and many instances, making it hard to get a sense of what is going on.
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