Plotly for Data Visualization: Exploring Chart Studio Visualizations

Plotly Chart Studio 2020    |    Beginner
  • 11 videos | 1h 15m 33s
  • Includes Assessment
  • Earns a Badge
Rating 4.7 of 10 users Rating 4.7 of 10 users (10)
This course's focus is on working with the variety of charts available in Plotly Chart Studio - each of which has its use case in terms of the kind of information it conveys best. Upon completion, you'll recognize which chart to choose to best present information the underlying data. You'll begin by working with pie charts, a great way to project the proportion of values represented by individual categories. You'll then work with scatter plots to visualize relationships between two variables, line charts to analyze sequential data, and histograms to understand a distribution of values. While exploring all of these charts, you'll cover several features that make plots useful and exciting, such as using multiple charts within subplots, adding annotations, and configuring the chart axes.

WHAT YOU WILL LEARN

  • Discover the key concepts covered in this course
    Render a pie chart to analyze the proportion of contributions from various categories
    Create a plot with two charts by rendering them within subplots
    View the relationship between two variables in your dataset by plotting them in a scatter plot
    Configure the axes of a plot to make them more prominent and make your charts easier to read
    Represent multiple dimensions of data in your scatter plot by configuring the points that are rendered
  • Apply transform operations on your dataset in order to perform an aggregation
    Visualize sequential data using a line chart
    Augment your chart by including an annotation to convey additional information
    View the distribution of values in a field by plotting a histogram
    Summarize the key concepts covered in this course

IN THIS COURSE

  • 2m 45s
  • 9m 51s
    In this video, you will render a pie chart to analyze the proportion of contributions from various categories. FREE ACCESS
  • Locked
    3.  Working with Subplots
    7m 52s
    In this video, you will create a plot with two charts by rendering them within subplots. FREE ACCESS
  • Locked
    4.  Generating a Scatter Plot
    7m 21s
    In this video, you will view the relationship between two variables in your dataset by plotting them in a scatter plot. FREE ACCESS
  • Locked
    5.  Defining Plot Axes on Charts
    6m 30s
    In this video, learn how to configure the axes of a plot to make them more prominent and easier to read. FREE ACCESS
  • Locked
    6.  Conveying Additional Information in a Scatter Plot
    8m 55s
    During this video, you will learn how to represent multiple dimensions of data in your scatter plot by configuring the points that are rendered. FREE ACCESS
  • Locked
    7.  Applying Transform Operations to Datasets
    8m 4s
    Learn how to apply transformation operations on your dataset in order to perform an aggregation. FREE ACCESS
  • Locked
    8.  Plotting a Line Chart
    9m 11s
    In this video, you will learn how to visualize sequential data using a line graph. FREE ACCESS
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    9.  Adding an Annotation to Charts
    5m 9s
    In this video, you will learn how to include annotations in your charts to provide additional information. FREE ACCESS
  • Locked
    10.  Plotting a Histogram
    8m 6s
    To view the distribution of values in a field, plot a histogram. FREE ACCESS
  • Locked
    11.  Course Summary
    1m 47s

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