# Data Visualization: Visualizing Data Using Advanced Charts in Plotly

Plotly 4.14    |    Intermediate
• 9 videos | 1h 9m 52s
• Includes Assessment
Using data visualizations during exploratory data analysis is an important part of the data science process. The Plotly graphing library helps with this by allowing users to investigate their data through interactive charts. In this course, you will explore the construction and applications of advanced charts in Plotly for varied use cases. You'll begin by identifying how to present multi-dimensional ordinal data along different axes using radar charts. You'll then recognize how to use sunburst charts to visualize multi-level hierarchical data. Next, you'll implement Gantt charts to visualize schedules and timelines in a project and then move on to exploring how to represent the flow of data between entities using Sankey diagrams. You'll finish the course by investigating the use of geo plots and choropleth maps in visualizing geographical data and plot locations.

## WHAT YOU WILL LEARN

• Discover the key concepts covered in this course
Compare values belonging to different categories using radar charts
Represent continuous data across categories using radar charts
Visualize hierarchical categories using sunburst charts
Create a gantt chart to visualize schedules and timelines
• Visualize the flow of data using a sankey diagram
Create a sankey diagram to visualize data
Create maps to visualize geographical data
Summarize the key concepts covered in this course

## IN THIS COURSE

• 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.
• 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.
• 3.  Components of Plotly Radar Charts
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.
• 4.  Visualizing Hierarchical Data Using Sunburst Charts
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.
• 5.  Visualizing Schedules in Plotly Using Gantt Charts
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.
• 6.  Creating Sankey Diagrams in Plotly
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.
• 7.  Visualizing Data Using Plotly Sankey Diagrams
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.
• 8.  Visualizing Geographical Data Using Plotly Maps
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.
• 9.  Course Summary
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.

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