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Introduction to Data Visualization with Matplotlib

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Our Data Set - Flower Power

4:07 with Ken Alger

An introduction to the dataset we'll be using in this stage of the course, the Iris Data Set.

Instructions to add files to your notebook

  1. Download the project files using the Download tab above.
  2. Unzip the file and navigate to the folder "s2v1" (Stage 2, Video 1).
  3. In your Notebook, go to File > Open and navigate to the unzipped folder.

From there you can view files just like we're doing in the video.

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    That works pretty well. 0:00
    But we really can't expect, 0:01
    all of the data we want to explore to be in the form of Standard Python lists. 0:02
    Matplotlib relies heavily on NumPy arrays as a data type. 0:07
    We won't cover NumPy arrays in detail in this course, but 0:12
    I've included links to further resources in the teacher's notes. 0:14
    For this course, we'll be converting our data into Python lists, and 0:18
    we'll see how NumPy can be leveraged in a future course. 0:22
    Now, the Tree House Studio, where I'm at right now, is in Portland, Oregon. 0:26

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