Histograms on Tuva
Lesson
In this tutorial, you will explore the US States dataset and learn how to create different types of histograms on Tuva. You will also learn how to increase and decrease the number of bins of a histogram. ![]720 Histograms are widely used to represent large, quantitative data sets. Tuva histograms, like dot plots, show how values are distributed along a number line, that is, they show how frequently values occur in the dataset. However, unlike dot plots, these histograms group the values into equal-sized “bins” such as 1–5, 6–10, etc. along the axis. A rectangular bar represents the cases in each bin. The taller the rectangular bar, the higher the number or frequency of cases in that bin. Tuva allows you to create different types of Histograms. Creating a Histogram with a Single Quantitative Attribute To create the most basic histogram, drag and drop a quantitative attribute on any one of the axes and choose :ti[frequency-histogram] from the toolbar. ![]700 Your finished graph will look like this: ![]700 You can also choose to create a histogram showing relative percentage or proportion. Creating a Relative Percentage Histogram To create a relative percentage histogram, drag and drop a quantitative attribute on any one of the axes and choose :ti[relative-percentage-histogram] from the toolbar. ![]700 Your finished graph will look like this: ![]700 You can similarly choose to create a relative proportion histogram and the graph will look like this: ![]700 Highlighting another Attribute on the Histogram You can also highlight another categorical or quantitative attribute on the graph by clicking on that attribute in the :ti[case-card] or by dragging and dropping it in the Legend Area. ![]700 Tuva also lets you create parallel histograms to compare two groups or attributes. Histogram with a Numerical and a Categorical Attribute Here are the steps to creating parallel histograms. Step 1: Create a regular histogram with the quantitative attribute of your choice. Step 2: Drag and drop a categorical attribute on the frequency axis in the graphing area. ![]700 Your finished graph will look like this: ![]700 In the interactive tutorial that follows, you will create your own histograms, try out all sorts of variations on them to show additional information, manipulate the bin size and learn to use the Context menu for making quick modifications to your graph.
In this tutorial, you will explore the US States dataset and learn how to create different types of histograms on Tuva. You will also learn how to increase and decrease the number of bins of a histogram. ![]720 Histograms are widely used to represent large, quantitative data sets. Tuva histograms, like dot plots, show how values are distributed along a number line, that is, they show how frequently values occur in the dataset. However, unlike dot plots, these histograms group the values into equal-sized “bins” such as 1–5, 6–10, etc. along the axis. A rectangular bar represents the cases in each bin. The taller the rectangular bar, the higher the number or frequency of cases in that bin. Tuva allows you to create different types of Histograms. Creating a Histogram with a Single Quantitative Attribute To create the most basic histogram, drag and drop a quantitative attribute on any one of the axes and choose :ti[frequency-histogram] from the toolbar. ![]700 Your finished graph will look like this: ![]700 You can also choose to create a histogram showing relative percentage or proportion. Creating a Relative Percentage Histogram To create a relative percentage histogram, drag and drop a quantitative attribute on any one of the axes and choose :ti[relative-percentage-histogram] from the toolbar. ![]700 Your finished graph will look like this: ![]700 You can similarly choose to create a relative proportion histogram and the graph will look like this: ![]700 Highlighting another Attribute on the Histogram You can also highlight another categorical or quantitative attribute on the graph by clicking on that attribute in the :ti[case-card] or by dragging and dropping it in the Legend Area. ![]700 Tuva also lets you create parallel histograms to compare two groups or attributes. Histogram with a Numerical and a Categorical Attribute Here are the steps to creating parallel histograms. Step 1: Create a regular histogram with the quantitative attribute of your choice. Step 2: Drag and drop a categorical attribute on the frequency axis in the graphing area. ![]700 Your finished graph will look like this: ![]700 In the interactive tutorial that follows, you will create your own histograms, try out all sorts of variations on them to show additional information, manipulate the bin size and learn to use the Context menu for making quick modifications to your graph.
Topics and standards: Histograms, Tutorial