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

Ploty Chart Studio 2020
  • 15 Videos | 1h 49m 21s
  • Includes Assessment
  • Earns a Badge
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.

WHAT YOU WILL LEARN

  • 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

IN THIS COURSE

  • Playable
    1. 
    Course Overview
    2m 22s
    UP NEXT
  • Playable
    2. 
    Using Plotly Chart Studio Box Plots
    8m 9s
  • Locked
    3. 
    Using Plotly Chart Studio Violin Plots
    9m 26s
  • Locked
    4. 
    Sharing Plotly Chart Studio Plots and Data
    8m 49s
  • Locked
    5. 
    Using Plotly Chart Studio Candlestick Charts
    8m 19s
  • Locked
    6. 
    Plotting an Atlas Map in Plotly Chart Studio
    9m 12s
  • Locked
    7. 
    Using Plotly Chart Studio Choropleth Maps
    5m
  • Locked
    8. 
    Generating Funnel Charts in Plotly Chart Studio
    5m 29s
  • Locked
    9. 
    Using Plotly Treemaps and Sunburst Charts
    7m 6s
  • Locked
    10. 
    Building a Dashboard in Plotly Chart Studio
    8m 21s
  • Locked
    11. 
    Generating a Fitted Curve in Plotly Chart Studio
    6m 42s
  • Locked
    12. 
    Adding a Moving Average Curve to Plotly Charts
    4m 18s
  • Locked
    13. 
    Uploading Plots to Plotly Chart Studio from Python
    8m 59s
  • Locked
    14. 
    Generating Chart Studio Plots Locally from Python
    9m 8s
  • Locked
    15. 
    Course Summary
    1m 32s

EARN A DIGITAL BADGE WHEN YOU COMPLETE THIS COURSE

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