MatPlotLib to Plot Data
Use Seaborn to Visualize Data
Visualizing data is used by virtually every discipline these days. It is used for analyzing web traffic to determine peak server load, growth and death rate of populations for biological analysis, analyzing weather patterns over time, stock market trends, and so on. Simply put, Data Visualization brings meaning to numbers that help people understand it. Seeing the data change can draw attention to trends and spikes that may otherwise go unnoticed. Python is an open-source (free) programming language has libraries that can be used to read and make useful graphics to present the data. In this course, you will create an application that reads data from CSV files. You will learn how to visualize the data using various techniques using existing Python libraries. Note: This course works best for learners who are based in the North America region. We’re currently working on providing the same experience in other regions.
In a video that plays in a split-screen with your work area, your instructor will walk you through these steps:
Create a Pandas DataFrame Table
Your workspace is a cloud desktop right in your browser, no download required
In a split-screen video, your instructor guides you step-by-step
It is a brilliant introductory course for someone who is just beginning to learn using pandas and matplotlib.
I felt the course to satisfy my required and have learned practically the various plotting styles.
Good and fast course/project, you'll learn a lot in an hour, if you already know basics of python.
Great content just the examples are not not enough maybe more examples need to be provided.
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Can I complete this Guided Project right through my web browser, instead of installing special software?
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You'll learn by doing through completing tasks in a split-screen environment directly in your browser. On the left side of the screen, you'll complete the task in your workspace. On the right side of the screen, you'll watch an instructor walk you through the project, step-by-step.
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