What is data exploration?

Data exploration is the process of examining, analyzing, and visualizing data in order to discover patterns, relationships, and insights. It involves the use of various query and data visualization techniques to understand the underlying structure of the data, identify trends, and gain a deeper understanding of the data. Data exploration is essential for making informed decisions about your data.

Data exploration is typically one of the first steps in data analysis and is used to get a sense of what the data contains, to identify potential problems or errors in the data, and to form hypotheses about the relationships between columns and tables. By exploring data, analysts can better understand the characteristics of the data, such as its distribution, variance, and range, and identify any outliers or anomalies that may need to be addressed. This process can also help identify opportunities for further analysis or data collection.

Data exploration can...