Data Analysis with Python for Beginners - Ep 5: Data Visualization (Matplotlib)
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
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