Data Visualization and Exploration

Data Visualization and Exploration

Also known as Exploratory Data Analysis (EDA), data visualization and exploration is a critical early step for data scientists to be able to look at the raw data in a variety of ways to assess if it is a good fit and can provide good training data to help solve the business problem at hand. This can take the form of running tests (for example to view the data’s statistical distributions) as well as visualizing it with a variety of charts and graphs with the goal of assessing if the data is helpful and also to evaluate which features might be useful going forward.

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