![]() Matplotlib is one of the most widely used data visualization libraries in Python. Understanding the basics of Matplotlib library in Python ![]() Overall, scatter plots are an essential tool for anyone analyzing data regardless of their field. They are also useful for identifying outliers or unusual data points that may require further investigation. Scatter plots are particularly useful for large datasets with many data points since they can help us identify patterns in the data at a glance. For example, a scatter plot can help us see whether two variables are positively or negatively correlated, or whether there is any relationship between them at all. Scatter plots can help us see patterns and trends in the data that may not be apparent when looking at raw numbers. Scatter plots are widely used in data analysis to plot data points on a graph and visualize their relationships. Introduction to scatter plots and their importance in data visualization
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