Data Visualization: Visualizing Data Using Advanced Charts in Plotly

IN THIS COURSE

• 1.  Course Overview
  2m 40s
  In this video, you’ll learn more about the instructor and the course. In this course, you’ll learn to use Plotly to build advanced charts for niche use cases. First, you’ll learn the use of radar charts. Next, you’ll learn the use of sunburst charts. Finally, you’ll learn more about specialized Gantt charts. FREE ACCESS
• 2.  Creating Radar Charts in Plotly
  6m 7s
  In this video, you’ll watch a demo. You’ll learn to create radar charts in Plotly. Onscreen, you’ll see an example of a radar chart. This is one is used to compare two airlines. You’ll use this radar chart to compare these airlines along different dimensions of user experience. You’ll learn a radar chart is the perfect type of visualization for an analysis like this. FREE ACCESS
• 3.  Components of Plotly Radar Charts
  7m 58s
  In this video, you’ll watch a demo. You’ll learn to implement radar charts in Plotly. You’ll start with the required import statements. These are pandas, Plotly express, and graph objects. Next, you’ll read into your little dataset. This is in a file called airline_survey.csv. You’ll read it in using the pd.read_csv method. This is a small dataframe. It has just four rows corresponding to the four airlines. Then, you have columns corresponding to quality measures. FREE ACCESS
• 4.  Visualizing Hierarchical Data Using Sunburst Charts
  11m 14s
  In this video, you’ll watch a demo. In this demo, you’ll learn about sunburst charts. You’ll see a sunburst chart on the screen now. You’ll learn sunburst charts are useful for representing hierarchical data, and in showing how hierarchical data items contribute towards a whole. Onscreen, you’ll see the sunburst chart has an inner circle and an outer concentric circle. FREE ACCESS
• 5.  Visualizing Schedules in Plotly Using Gantt Charts
  9m 29s
  In this video, you’ll watch a demo. In this demo, you’ll learn more about Gantt charts. There’s a Gantt chart on your screen now. On the y axis, you’ll see there are different tasks, and then on the x-axis, there’s time. You’ll see bars correspond to those different tasks, and the x coordinates of those bars tell you when those tasks should start and finish. The bars are also color-coded. FREE ACCESS
• 6.  Creating Sankey Diagrams in Plotly
  9m 16s
  In this video, you’ll watch a demo. In this demo, you’ll learn about Sankey diagrams. A Sankey diagram is a flow diagram where the width of an arrow between one node and another node is proportional to the rate of flow. In the Sankey diagram onscreen, you’ll see money flow out of the marketing budget into various subbudgets. You’ll see this corresponds to the communications budget, the research budget, the event budget, and so on. FREE ACCESS
• 7.  Visualizing Data Using Plotly Sankey Diagrams
  9m 2s
  In this video, you’ll watch a demo. In this demo, you’ll build a more complex Sankey diagram. The data for this new Sankey chart resides in two separate files. First, you’ll read in a file that contains information about the nodes. You’ll see the contents of this file are converted into a pandas dataframe. You’ll read the file in using the pd.read_csv method. This is a simple pandas dataframe with just two columns. FREE ACCESS
• 8.  Visualizing Geographical Data Using Plotly Maps
  10m 56s
  In this video, you’ll watch a demo. In this demo, you’ll make use of two different types of geo maps in Plotly. The first of these is onscreen now, it’s a density map. You have point markers representing individual points as expressed in latitude, longitude pairs. The Plotly density map is interactive. You’ll see this is one kind of geo map. The other is the choropleth map. An example of a choropleth map is onscreen. FREE ACCESS
• 9.  Course Summary
  3m 10s
  In this video, you’ll summarize what you’ve learned in this course. You learned to visualize data using advanced charts in Plotly. You learned about radar charts and Gantt charts. Then, you learned more about using Sankey charts in Plotly. Finally, you learned about geographical maps. FREE ACCESS