Plotly for Data Visualization: Advanced Charts & Features in Chart Studio


Overview/Description
Expected Duration
Lesson Objectives
Course Number
Expertise Level



Overview/Description

There are many specialized charts and other advanced features available in Plotly Chart Studio, which can be used to give life to your data. These include Box and Violin plots to analyze the distribution of values, Candlestick charts to analyze tradeable assets' performance, and map charts to visualize geographical data.

In this course, you'll learn how to work with these chart types, as well as funnel, treemaps, and sunburst charts. You'll also practice sharing plots and charts with collaborators and viewers.

Beyond this, you'll learn how to create a dashboard to group related charts. You'll generate curves, namely a moving average and a fitted curve, to augment some of your charts. You'll then finish my writing some Python code and using it to generate charts from a Python application.



Expected Duration (hours)
1.7

Lesson Objectives

Plotly for Data Visualization: Advanced Charts & Features in Chart Studio

  • discover the key concepts covered in this course
  • visualize the distribution of numeric values in a field by rendering a box plot using Plotly
  • analyze the detailed distribution of numeric values in a field by creating a violin plot in Plotly
  • share your Plotly Chart Studio plots and data with viewers and collaborators
  • plot the variations in price of a tradeable asset using candlestick charts in Plotly
  • convey details about geographical regions using an atlas map in Plotly
  • use Plotly to render information about geographical regions by shading regions based on the value of a variable
  • analyze the stages of a sales cycle by generating a funnel chart in Plotly
  • use Plotly to visualize the proportional contribution of various categories that have a hierarchical relationship
  • combine related plots into a single page using a dashboard in Plotly
  • use Plotly to plot the relationship between two variables in your data by generating a fitted curve to map the relationship
  • use Plotly to analyze data over a long term by plotting a moving average curve
  • create Plotly Chart Studio plots from a Python app and upload them to your account on the cloud
  • define Plotly Chart Studio plots from a Python app and save them on your local file system
  • summarize the key concepts covered in this course
  • Course Number:
    it_davcspdj_03_enus

    Expertise Level
    Intermediate