Plotly for Data Visualization: Exploring Chart Studio Visualizations


Overview/Description
Expected Duration
Lesson Objectives
Course Number
Expertise Level



Overview/Description

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.



Expected Duration (hours)
1.3

Lesson Objectives

Plotly for Data Visualization: Exploring Chart Studio Visualizations

  • 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
  • Course Number:
    it_davcspdj_02_enus

    Expertise Level
    Beginner