# Plotly for Data Visualization: Exploring Chart Studio Visualizations

Plotly Chart Studio 2020    |    Beginner
• 11 videos | 1h 15m 33s
• Includes Assessment
Rating 4.7 of 10 users (10)
This course's focus is on working with the variety of charts available in Plotly Chart Studio - each of which has its use case in terms of the kind of information it conveys best. Upon completion, you'll recognize which chart to choose to best present information the underlying data. You'll begin by working with pie charts, a great way to project the proportion of values represented by individual categories. You'll then work with scatter plots to visualize relationships between two variables, line charts to analyze sequential data, and histograms to understand a distribution of values. While exploring all of these charts, you'll cover several features that make plots useful and exciting, such as using multiple charts within subplots, adding annotations, and configuring the chart axes.

## WHAT YOU WILL LEARN

• Discover the key concepts covered in this course
Render a pie chart to analyze the proportion of contributions from various categories
Create a plot with two charts by rendering them within subplots
View the relationship between two variables in your dataset by plotting them in a scatter plot
Configure the axes of a plot to make them more prominent and make your charts easier to read
Represent multiple dimensions of data in your scatter plot by configuring the points that are rendered
• Apply transform operations on your dataset in order to perform an aggregation
Visualize sequential data using a line chart
View the distribution of values in a field by plotting a histogram
Summarize the key concepts covered in this course

## IN THIS COURSE

• In this video, you will render a pie chart to analyze the proportion of contributions from various categories.
• 3.  Working with Subplots
In this video, you will create a plot with two charts by rendering them within subplots.
• 4.  Generating a Scatter Plot
In this video, you will view the relationship between two variables in your dataset by plotting them in a scatter plot.
• 5.  Defining Plot Axes on Charts
In this video, learn how to configure the axes of a plot to make them more prominent and easier to read.
• 6.  Conveying Additional Information in a Scatter Plot
During this video, you will learn how to represent multiple dimensions of data in your scatter plot by configuring the points that are rendered.
• 7.  Applying Transform Operations to Datasets
Learn how to apply transformation operations on your dataset in order to perform an aggregation.
• 8.  Plotting a Line Chart
In this video, you will learn how to visualize sequential data using a line graph.
• 9.  Adding an Annotation to Charts
In this video, you will learn how to include annotations in your charts to provide additional information.
• 10.  Plotting a Histogram
To view the distribution of values in a field, plot a histogram.
• 11.  Course Summary

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