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    Description:

    You will learn how to transform raw tables with numbers into interactive and human-readable charts. We will start with the overview of basic chart types, when to use a specific type and how to make it easy to read. Then we will learn how to create and adjust these plots using plotly in Python.  

    Outline:

    1. Basic types of charts (Line chart, Bar chart, Scatterplot, etc.).
    2. Some good/bad examples.
    3. Rule of thumb for creating a chart (sections 1-3 are ~1.5 hours in total).
    4. Plotly (~3.5 hours):
      1. Basic charts.
      2. Map charts.
      3. 3D charts.
      4. Subplots.
      5. Custom controls (buttons, sliders).
      6. Animations.

    Who is the workshop for:

    Data analysts, data scientists, data visualization specialists or any other people who are involved (interested) in creating data visualization.

    Key skills:

    After this workshop you will get the idea of how to:

    • Use the proper type chart for your data.
    • Create interactive plots using plotly packages.
    • Create multiple plots on one chart.
    • Create dynamic filters on a plot using buttons and sliders.
    • Create animation plots.

    Duration: 5 hours.

    Requirements: Python experience. Basic experience with visualization packages (like Matplotlib or Seaborn) is a plus.

    Instructor:

    Ruslan Klymentiev

    Ruslan is a curriculum writer at DEVrepublik and Practice Instructor.
    He graduated from Odessa National Polytechnic University, a specialist in “Radio-electronic devices.”
    2.5 years of experience in Data Science.
    Interests: statistics, Data Visualization, CNN models and Computer Vision
    2 times received at Weekly Kernels Award on Kaggle.com
    Winner.
    Hobbies: climbing and hiking