Plotly for Data Visualization: Advanced Charts & Features in Chart Studio
Ploty Chart Studio 2020
| Intermediate
- 15 videos | 1h 42m 51s
- 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
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discover the key concepts covered in this coursevisualize the distribution of numeric values in a field by rendering a box plot using Plotlyanalyze the detailed distribution of numeric values in a field by creating a violin plot in Plotlyshare your Plotly Chart Studio plots and data with viewers and collaboratorsplot the variations in price of a tradeable asset using candlestick charts in Plotlyconvey details about geographical regions using an atlas map in Plotlyuse Plotly to render information about geographical regions by shading regions based on the value of a variableanalyze the stages of a sales cycle by generating a funnel chart in Plotly
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use Plotly to visualize the proportional contribution of various categories that have a hierarchical relationshipcombine related plots into a single page using a dashboard in Plotlyuse Plotly to plot the relationship between two variables in your data by generating a fitted curve to map the relationshipuse Plotly to analyze data over a long term by plotting a moving average curvecreate Plotly Chart Studio plots from a Python app and upload them to your account on the clouddefine Plotly Chart Studio plots from a Python app and save them on your local file systemsummarize the key concepts covered in this course
IN THIS COURSE
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2m 22s
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8m 9s
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9m 26s
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8m 49s
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8m 19s
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9m 12s
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5m
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5m 29s
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7m 6s
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8m 21s
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6m 42s
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4m 18s
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8m 59s
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9m 8s
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1m 32s
EARN A DIGITAL BADGE WHEN YOU COMPLETE THIS COURSE
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Digital badges are yours to keep, forever.