Introduction to data visualization

Humans can process a large amount of information using their sense of vision. Data visualization utilizes humans' innate skills to enhance the efficiency of data processing and organization. A classic visualization process starts by filtering data, transforming it into visual forms, and eventually displaying the data interactively to end users. With data visualization, users find it easier to understand and interpret the meaning of the underlying data. Good data visualization helps identify patterns, trends, and extreme values in a concise presentation. This is important in every aspect, especially when the data is big in volume or highly complex. Making sense of a large amount of data in a small amount of time is a huge business value.

pandas offers various options for visualizing data. To ensure your visualizations are accurate and that they correctly convey the insights gained from the underlying data, it is critical to identify and clean...