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Plots Creation using Matplotlib Python

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  • Project Overview
    • By the end of this project, you will be able to add the data in the csv file to Pandas data frame, plot the graph and set marker type and color. You will also be able to apply labels, change font size, add grid lines and legends. Finally, you will be able to create the boxplot and save the graph as an image using the matplotlib and seaborn libraries, which are the most important libraries in python that are used for Data Visualization. You can create bar-plots, scatter-plots, histograms and a lot more with them.