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In this tutorial, we’ll learn how to visualize our data using Python libraries like Matplotlib. Matplotlib is the most common graphing library in Python, and has a very well-developed API for making simple and easy graphs that can allow us to better analyze our data. After this episode, you’ll have a better understanding of how we can use these graphs with data from Pandas dataframes! This video is part of an 8-part course designed to give absolute beginners an idea of what Data Analysis looks like using Python. What is Data Analysis? Data Analysis is the process of exploring, cleaning, transforming, and modeling data as a way to produce insightful conclusions or gather useful information. It is a field that is growing rapidly, along with Data Science, and one that is very high in demand. If you’re interested in taking that career route, or maybe just want to learn it as a skill, this course is for you! This episode’s Colab Notebook: https://colab.research.google.com/dri... Matplotlib website/documentation: https://matplotlib.org/stable/index.html AI Global Index Dataset: https://www.kaggle.com/datasets/kater... Episode Timestamps: 00:00 - Intro 00:47 - Matplotlib 01:46 - Linear function plotting 04:10 - Scatterplots 05:36 - Bar graphs 08:57 - Histograms 12:28 - Real data line plot 17:23 - Real data scatterplot 18:58 - Real data bar graph 22:45 - Real data histogram