Histograms on Tuva (v2)
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.
Histograms on Tuva Histograms are used to understand how large sets of numerical data are distributed. Instead of showing individual cases, histograms group values into equal-sized ranges, or bins, and display how many cases fall into each range. On Tuva, histograms make it easy to see where values cluster, how spread out they are, and which ranges occur most often. You can also adjust how values are grouped and compare distributions across groups. [---cta ⚡ Ready to practice? Jump straight into the interactive tool. ---]{border-left:#ecb606;buttons:[{"type":"enroll","text":"Enroll in series","bg":"#682D8A","color":"#ffffff","border":"#682D8A","icon":"ti ti-add"},{"type":"modeltool","text":"Try It Out Now","bg":"#ffffff","color":"#682D8A","icon":"ti ti-external","border":"#682D8A"}];} !![tuva]560x315 How It Works Histograms on Tuva can be created in these main ways: [---card Creating a Histogram with a Single Numerical Attribute: Drag and drop a numerical attribute on either the x- or y-axis Choose :ti[frequency-histogram] to display how frequently values occur across equal-sized bins Adjust the number of bins to show more detail or broader patterns ---]{border-color:#DADFE5;} [---card Histogram with a Numerical and a Categorical Attribute: Create a histogram using a numerical attribute Add a categorical attribute to compare distributions across groups You can also highlight another attribute using color to reveal additional patterns ---]{border-color:#DADFE5;} [---card Creating Relative Histogram Click on the histogram menu next to the plot title and choose between different histogram axis scales You choose either relative percentage axis or relative proportion axis ---]{border-color:#DADFE5;} [---card In a Nutshell Histograms show how data values are distributed across ranges, making patterns and group differences easy to compare. ---]{border-color:#DADFE5;} [---cta ⚡ Try It Out Jump straight into the interactive tool. ---]{border-left:#ecb606;buttons:[{"type":"enroll","text":"Enroll in series","bg":"#682D8A","color":"#ffffff","border":"#682D8A","icon":"ti ti-add"},{"type":"modeltool","text":"Try It Out Now","bg":"#ffffff","color":"#682D8A","icon":"ti ti-external","border":"#682D8A"}];}
Topics and standards: Histograms, Tutorial