Boxplots on Tuva
Lesson
In this tutorial, students use the US States dataset to learn how to create different boxplots on Tuva. ![]720
In this tutorial, you will explore the US States dataset and learn how to create a variety of boxplots on Tuva. ![]720 Box plots are great tools for summarizing quantitative data and making comparisons between groups. They give you a quick idea about the shape and spread of a distribution. However, they throw away individual data in the process. Image: Box Plot_1 Box plots group the data values in four equal parts or quarters. Each quarter is called a quartile. Thus, each quartile always contains 25% of the data values. In this tutorial, you will learn to create three different types of box plots using the dogs data. You will find out how parallel box plots are created to compare groups or attributes. Creating a box plot in Tuva is a two-step process. Step 1: Drag and drop a quantitative attribute on either the x- or y-axis to create a dot plot. Step 2: From the toolbar, click on :ti[box-plot]. Image: Box Plot_2 Your finished graph will look like this: Image: Box Plot_3 Tuva also gives you the option to display the underlying dot plot along with the box plot. Simply create a dot plot or a box plot and choose :ti[box-and-dot-plot] from the toolbar. Image: Box Plot_4 Your finished graph will look like this: Image: Box Plot_5 Datasets often have extreme values and outliers. Tuva offers you yet another type of box plot that lets you display the outliers, if any, in the data. To create such a graph, begin by creating a dot plot or a box plot and choose :ti[box-plot-with-outliers] from the toolbar. Your finished graph will look like this: You can also create parallel box plots to compare two or more categories or groups. Here are the steps. Step 1: Create a box plot of your choice. Step 2: Drag and drop a categorical attribute on the empty axis. In the interactive tutorial that follows, you will create different types of box plots yourself and learn to use the summary view for the 5-number summary.
Topics and standards: Box Plots, Tutorial