From the course: Python for Data Science and Machine Learning Essential Training Part 1

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Importance of visualization in data science

Importance of visualization in data science - Python Tutorial

From the course: Python for Data Science and Machine Learning Essential Training Part 1

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Importance of visualization in data science

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- [Presenter] And let's talk about the importance of visualization in data science. Data visualization is important because data insights cannot very easily be converted to business value if they're not communicated effectively. Data visualization is the process of transforming data in the form of graphs, charts, or any other form of visual scheme. The purpose of data visualization is to explore data and to extract useful information from it. Visualization helps in finding patterns, leaning valuable insights, and observing trends in the dataset. Different types of graphs are used for data visualization. Let's take a look at some examples of graphs and their utilization for various problems. A line graph graphically displays data that changes continuously over time, or whatever variable you have mapped out over the X axis. Line graphs have a horizontal axis and a vertical axis. We use line graphs when we want to demonstrate trends in data. Similarly, we can also use line graphs when we…

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