You must select a data view before you can create an asset. Use the Data panel to select a data view.
Use the Graph Builder to visualize your data and explore graph alternatives. Based on your input, the Graph Builder displays a preview of available graph candidates. As you explore the graph gallery, you can choose a graph candidate, then set options for the selected graph to see the effects of your changes in real-time.
Use Histogram to examine the shape and spread of your data. A histogram works best when the sample size is at least 20.
Enter one or more numeric columns that you want to graph.
Enter a variable that defines the groups. Group labels are shown in the graph legend.
Use Probability Plot to evaluate the fit of a distribution to the data, to estimate percentiles, and to compare sample distributions. A probability plot displays each value versus the percentage of values in the sample that are less than or equal to it, along a fitted distribution line. The y-axis is transformed so that the fitted distribution forms a straight line.
Enter one or more numeric columns that you want to graph.
Enter a variable that defines the groups. Group labels are shown in the graph legend.
Use Boxplot to assess and compare the shape, central tendency, and variability of sample distributions and to look for outliers. A boxplot works best when the sample size is at least 20.
Enter one or more numeric columns that you want to graph.
Enter up to five columns of categorical data that define the groups. The first variable is the outermost on the scale and the last variable is the innermost.
With large data sets, where outliers are common, you can display custom percentiles instead of outliers to gather more information about the data. Custom percentiles occur outside of the interquartile box and typically occur in the tails of the distribution. In addition, lines are placed at the minimum and maximum values. By default, these percentile values are 0.5, 2.5, 10, 90, 97.5, and 99.5, but you can add, delete, or change them.
Minitab uses the terms "innermost" and "outermost" to indicate the relative position of the scales for multiple levels of groups displayed on a graph. For a horizontal scale, outermost refers to the scale at the bottom of the graph, and innermost refers to the scale farthest from the bottom, closest to the horizontal axis. For a vertical scale, outermost refers to the scale to the far left, and innermost refers to the scale closest to the vertical axis.
Use Individual Value Plot to assess and compare sample data distributions. An individual value plot shows a dot for the actual value of each observation in a group, making it easy to spot outliers and see distribution spread.
Enter one or more numeric columns that you want to graph.
Enter up to five columns of categorical data that define the groups.
If you have identical data values on your graph, individual symbols could hide behind each other. Choose this option to move symbols slightly to reveal overlapping points.
Minitab uses the terms "innermost" and "outermost" to indicate the relative position of the scales for multiple levels of groups displayed on a graph. For a horizontal scale, outermost refers to the scale at the bottom of the graph, and innermost refers to the scale farthest from the bottom, closest to the horizontal axis. For a vertical scale, outermost refers to the scale to the far left, and innermost refers to the scale closest to the vertical axis.
Use Bar Chart to compare the counts, means, or other summary statistics using bars to represent groups or categories. The height of the bar shows either the count or variable function for the group.
Enter one or more numeric columns that you want to graph.
Enter a numeric or text column that defines the bars in the bar chart.
From Function, select the function of the Summarized variables. For example, if you select Maximum, Minitab defines the color for the bar chart based on the maximum value of the summarized variables in each bar. If you enter a text column in Summarized variables, you can only select Percent equal to specified values, Number of nonmissing values, or Number of missing values.
When you select multiple categorical variables and you choose to overlay the graphs, you can choose how to display the overlaid bars.
When you have more than one summarized variable and you choose to overlay the graphs, you have the option to cluster or stack the bars by the summarized variables.
When you do not enter Summarized variables, select this option to change the Y-scale type from count to percent.
When you enter Summarized variables, select this option to change the Y-scale type to percent.
Make the Y-scale the same across multiple graphs.
Minitab uses the terms "innermost" and "outermost" to indicate the relative position of the scales for multiple levels of groups displayed on a graph. For a horizontal scale, outermost refers to the scale at the bottom of the graph, and innermost refers to the scale farthest from the bottom, closest to the horizontal axis. For a vertical scale, outermost refers to the scale to the far left, and innermost refers to the scale closest to the vertical axis.
Use Pie Chart to compare the proportion of data in each category or group. A pie chart is a circle ("pie") that is divided into segments ("slices") to represent the proportion of observations that are in each category.
Enter one or more columns of categorical data that you want to graph.
Enter one or more columns of summary values that you want to graph.
Enter a minimum percentage for separate slices. Categories less than this percentage are grouped into a slice named Other.
Use Scatterplot to investigate the relationship between a pair of continuous variables. A scatterplot displays ordered pairs of X and Y variables in a coordinate plane.
You can graph the x and y-variables as individual pairs or you can graph every combination of the x-y variables. The y-variable is the variable that you want to explain or predict. The x-variable is a corresponding variable that might explain or predict changes in the y-variable. All columns must be numeric, and each x-y variable pair must have the same number of rows.
First, choose one of the following options.
Then, enter the variables.
Enter a variable that defines the groups. Group labels are shown in the graph legend.
Use Binned Scatterplot to investigate the relationship between a pair of continuous variables when the dataset contains many observations.
The y-variable is the variable that you want to explain or predict. The x-variable is a corresponding variable that might explain or predict changes in the y-variable. All columns must be numeric, and each x-y variable pair must have the same number of rows.
Select to define the gradient scale by the value of a third variable.
Select the color scale for the bins.
Use Bubble Plot to explore the relationship between two variables where the size of each symbol, or bubble, represents the size of a third variable.
The y-variable is the variable that you want to explain or predict. The x-variable is a corresponding variable that might explain or predict changes in the y-variable. All columns must be numeric, and each x-y variable pair must have the same number of rows.
Enter a column that determines the size (area) of the bubbles.
Choose a layout option.
Enter a variable that defines the groups. Group labels are shown in the graph legend.
Use Correlogram to visualize and compare the strength and direction of linear relationships (correlations) between pairs of variables.
Enter the columns that contain the data. You must enter at least two columns of numeric data. Each column must have the same number of rows.
Select the color scale for the bins.
Select to display the value of the Pearson correlation coefficient within each rectangle of the graph.
Use Parallel Coordinates Plot to visually compare many series or groups of series on parallel coordinates across multiple variables.
Enter at least two columns of numeric data.
Enter a column that contains labels for each series. Minitab uses this column to label a series on the plot when you hover over it with your cursor. If you don't enter a Group variable Minitab uses the label column to create a legend for the parallel plot.
Choose one of the following layout options.
Enter a variable that defines the groups. Group labels are shown in the graph legend. You must enter a column when you select Individual series by group or Summarized groups.
Select how you want to display the y-scale.
Select to plot each variable with a unique y-scale. A series that contains all of the minimum or maximum values for each variable will be a horizontal
line.Select to plot each variable with a unique y-scale. The minimum and maximum values for each scale are the overall minimum and maximum z-score values from all the data that you entered converted to each variable's scale.
For example, the first variable's maximum value has a z-score of 2, while the other two variable's maximum value has a z-score of 1. The maximum value for each variable's y-scale is the value that corresponds to a z-score of 2.
Select to use a single y-scale that is repeated for each variable. The minimum and maximum values for the scale are the overall minimum and maximum values from all the data that you entered.
If you select Standard units or Original data, you can sort the variables based on the variation. This can be useful when you have many variables and you want to see which one separates the series the most. If you do not select this option, Minitab sorts the columns in the same order as you enter them in the Variables dialog box.
Use Heatmap to compare the means or other summary statistics using a color gradient to represent the impact of different groups.
Enter up to five columns where the categories are represented as rows on the heatmap.
Enter up to five columns where the categories are represented as columns on the heatmap.
Enter a numeric or text column that defines the color gradient of the rectangles in the heatmap. If you enter multiple columns, Minitab generates a separate heatmap for each variable that you enter.
From Function, select the function of the Summarized variables. For example, if you select Maximum, Minitab defines the color gradient for the heatmap based on the maximum value of the summarized variables in each rectangle. If you enter a text column in Summarized variables, you can only select Percent equal to specified values, Number of nonmissing values, or Number of missing values.
Use Time Series Plot to look for patterns in your data over time, such as trends or seasonal patterns.
Enter one or more columns of time-ordered numeric data that you want to graph.
Label the x-axis with values from a column that contain date/time, numeric, or text values for the scale. For example, on the following time series plot, the column specifies the shift and day.
C1-T |
---|
Shift and Day |
S1D1 |
S2D1 |
S3D1 |
... |
Set the following layout options.
Select how you want to display the y-scale.
Displays the value of a function for a numeric variable. Specify the numeric variable in Variable. Specify what you want to calculate in Function. You can change the name of the asset on the dashboard in Title.
If you add a filter control to the dashboard, the filter does not affect table assets. Use the Prep Tool to filter your data and save a new data view. For more information, go to Common tasks using the Prep Tool and select "Filter your data".