Data Exploration

People tend to be more adept at understanding visual information rather than numerical data. As a result, it can be difficult for data scientists to make sense of large amounts of data by simply reviewing rows of numbers. To help with this, data visualization tools and techniques, such as colors, shapes, lines, graphs, and angles, can be used to explore data and identify patterns or anomalies.

These visual elements make it easier to understand and analyze complex data sets.