Chapter 3

Data Exploration


Data exploration, also known as exploratory data analysis (EDA), provides a set of simple tools to achieve a basic understanding of the data. The results of data exploration can be extremely useful in grasping the structure of the data, the distribution of the values, and the presence of extreme values and interrelationships within the data set. Descriptive statistics is the process of condensing key characteristics of the data set into simple numeric metrics. Some of the common metrics used are mean, standard deviation, and correlation. Visualization is the process of projecting the data, or parts of it, into Cartesian space or into abstract images. In the data mining process, data exploration is leveraged in ...

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