Dot Plots on Tuva
Lesson
Traditionally, dot plots are most commonly used to graph quantitative or numerical attributes. They are extremely useful for visualizing the distribution of such attributes and describing important aspects such as the center and the spread. Tuva dot plots are quite versatile unlike their traditional counterparts. The Tuva dot plot can be used to display and analyze both categorical and quantitative attributes. Each dot on the graph represents a case. Creating dot plots on Tuva is very easy. You simply drag an attribute from the Case Card and drop it on any one of the axes. Creating a Dot Plot with a Single Quantitative Attribute You can drag and drop a quantitative attribute on any one of the axes. The default graph created by Tuva is a dot plot. ![Dragging and Dropping a Quantitative Attribute to Create a Dot Plot]720:l Once you have dropped the attribute on the axis, your graph will look like this: ![Dot Plot of a Quantitative Attribute]720:l Creating a Dot Plot with a Single Categorical Attribute You can drag and drop a categorical attribute on any one of the axes. The default graph created by Tuva is a dot plot. ![Dragging and Dropping a Categorical Attribute to Create a Dot Plot]720:l Once you have dropped the attribute on the axis, your graph will look like this: ![Dot Plot of a Categorical Attribute]720:l Creating a Dot Plot with Combinations of Categorical and Numerical Attributes You can also create dot plots with different combinations of categorical and numerical attributes. Here are a few examples: Dot plot with Two Categorical Attributes If you want to analyze the association between two categorical attributes, you can drop a categorical attribute on each of the two axes. ![Dot Plot of Two Categorical Attributes]720:l Dot Plot with A Numerical and a Categorical Attribute If you want to compare groups, you can create parallel dot plots by dropping a quantitative attribute on one axis and a categorical attribute on the other axis. ![Dot Plot of a Categorical and a Quantitative Attribute]720:l Dot Plot with Three Attributes If you wish to investigate patterns between more than two attributes, you can highlight a third attribute in the graph by dropping it in the Legend area on the right. ![Dot Plot with Three Attributes]720:l If you choose to drop a categorical attribute in the Legend area, your graph will look like this: ![Dot Plot with Three Attributes]720:l In this tutorial, you will explore the Man's Best Friend dataset and learn how to create different types of dot plots on Tuva. You will also learn a few additional features you can use to make your analysis with dot plots interesting. ![Creating Different Types of Dot Plots on Tuva]720:l
Traditionally, dot plots are most commonly used to graph quantitative or numerical attributes. They are extremely useful for visualizing the distribution of such attributes and describing important aspects such as the center and the spread. Tuva dot plots are quite versatile unlike their traditional counterparts. The Tuva dot plot can be used to display and analyze both categorical and quantitative attributes. Each dot on the graph represents a case. Creating dot plots on Tuva is very easy. You simply drag an attribute from the Case Card and drop it on any one of the axes. Creating a Dot Plot with a Single Quantitative Attribute You can drag and drop a quantitative attribute on any one of the axes. The default graph created by Tuva is a dot plot. ![Dragging and Dropping a Quantitative Attribute to Create a Dot Plot]720:l Once you have dropped the attribute on the axis, your graph will look like this: ![Dot Plot of a Quantitative Attribute]720:l Creating a Dot Plot with a Single Categorical Attribute You can drag and drop a categorical attribute on any one of the axes. The default graph created by Tuva is a dot plot. ![Dragging and Dropping a Categorical Attribute to Create a Dot Plot]720:l Once you have dropped the attribute on the axis, your graph will look like this: ![Dot Plot of a Categorical Attribute]720:l Creating a Dot Plot with Combinations of Categorical and Numerical Attributes You can also create dot plots with different combinations of categorical and numerical attributes. Here are a few examples: Dot plot with Two Categorical Attributes If you want to analyze the association between two categorical attributes, you can drop a categorical attribute on each of the two axes. ![Dot Plot of Two Categorical Attributes]720:l Dot Plot with A Numerical and a Categorical Attribute If you want to compare groups, you can create parallel dot plots by dropping a quantitative attribute on one axis and a categorical attribute on the other axis. ![Dot Plot of a Categorical and a Quantitative Attribute]720:l Dot Plot with Three Attributes If you wish to investigate patterns between more than two attributes, you can highlight a third attribute in the graph by dropping it in the Legend area on the right. ![Dot Plot with Three Attributes]720:l If you choose to drop a categorical attribute in the Legend area, your graph will look like this: ![Dot Plot with Three Attributes]720:l In this tutorial, you will explore the Man's Best Friend dataset and learn how to create different types of dot plots on Tuva. You will also learn a few additional features you can use to make your analysis with dot plots interesting. ![Creating Different Types of Dot Plots on Tuva]720:l
Topics and standards: Scatter Plots, Dot Plots, Tutorial