Data Visualization: Getting Started with Plotly
Plotly 4.14
| Beginner
- 9 Videos | 1h 8m 59s
- Includes Assessment
- Earns a Badge
Plotly is Python's browser-based graphing library, which provides users with online graphing, analytics, and statistics tools. In this course, you'll explore how to use Plotly's declarative APIs to build interactive graphs and visualizations. You'll start this course by getting familiar with the components of the Plotly library. You'll identify the role of the high-level library (plotly.express) in creating visualizations and the low-level library (plotly.graph_objects) in creating granular customizations of your charts. Next, you'll investigate the use of box plots in visualizing the statistical properties of a continuous data series. You'll also discover how to represent additional categorical data by creating separate box plots and customizing their color. Finally, you'll examine how to implement a candlestick chart to reflect the trend of stock price performance over a period of time and visualize sequential data in a linear process using funnel charts.
WHAT YOU WILL LEARN
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discover the key concepts covered in this courseinstall and import Plotly using Jupyter notebooksidentify the components of a Plotly graphvisualize statistical data using box-and-whisker plotsvisualize categorical data using box plots and strip plots
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create colored and notched box plotsrecognize how to plot financial data using candlestick chartsuse funnel charts to visualize sequential datasummarize the key concepts covered in this course
IN THIS COURSE
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1.Course Overview2m 14sUP NEXT
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2.Installing Plotly5m 32s
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3.Components of Plotly Graphs7m 55s
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4.Creating Box Plots in Plotly8m 46s
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5.Plotting Categorical Data with Box and Strip Plots9m 15s
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6.Customizing Plotly Box Plots11m 53s
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7.Visualizing Financial Data Using Candlestick Charts9m 12s
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8.Visualizing Data Using Plotly Funnel Charts11m 11s
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9.Course Summary3m 2s
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