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graphs are visual representations of data, allowing us to better understand patterns and relationships within the data. python offers powerful libraries for creating various types of graphs, and jupyter notebook provides an interactive environment to create and visualize these graphs seamlessly. in this tutorial, we'll explore how to plot graphs in python jupyter notebook using the popular matplotlib library.
before we start, ensure you have the following installed:
matplotlib is a widely used python library for creating static, animated, and interactive visualizations in python. we'll use it to plot various types of graphs.
a line plot is a graph that displays data as points connected by straight lines.
a scatter plot is a graph that displays individual data points based on two variables.
a bar plot is a graph that represents categorical data with rectangular bars.

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