Change/deviation charts
Last updated
Was this helpful?
Reporting & Writeback Matrix Docs
Last updated
Was this helpful?
Charts such as the dot plot, arrow plot, dumbbell plot & range plot are used to track changes over time or with respect to a benchmark.
In the case of the arrow plot, the data points are represented using arrows. The size of the arrow increases with the magnitude of variation. In the case of dot and range plots, circles represent the values of the series whereas the line connecting the circles represents the amount of variation between them. In the case of the range plot, the variation is shown as a bar.
In this example, let's visualize the pay gap between men and women in the UK and the US using a Dot plot.
a) We have added 'Category' and ‘Occupation’ in the 'Rows' field, ‘Country’ in the ‘Columns’ field, and 'Men average annual salary' and ‘Women average annual salary’ in the 'Values (AC)' field in the visualization pane.
b) Select columns for which you want to insert the plot chart. In the following image, the average salary of men and women columns have been selected.
The bullet/stacked chart option gets enabled. From the 'Bullet/Stacked chart' drop-down, select the 'Dot plot' under the 'Others' Category.
c) The dot plot gets inserted as shown below. You can see the 'Customize' tab in the toolbar and the following customization options.
The following customization options are available if you insert any of the chart types mentioned in this section.
Here you can change your current chart type.
Clicking on this option will open up a 'Series display' modal that lets you configure the type, size, and color of the marker. Depending on the type of chart inserted, the 'Series display' modal will show different properties which are listed below:
a) Extend baseline - Enabling this option will extend the baseline of the dot plot as shown below.
b) Marker type - Markers are visual elements like dots and lines that are used to represent the data points in the chart. Using this option you can configure the marker type of the chart. The available options are:
Circle - Selecting this option will display a dot marker
Line - selecting this option will display a line marker
None - This option is available only for range plots and is selected by default displaying a solid bar as a marker
c) Marker/line/circle size - This option lets you set the size of the marker/line/circle. The size can be set to S(Small), M(Medium), L(Large), or XL(Extra large).
d) Color - The fill color drop-down lets you choose the color of the markers.
e) Range - With this option, you can configure the measure for which the range needs to be displayed as well as the gradient color of the range.
f) Gradient range - If you enable this option, you can represent the bars of the range plot using gradient colors.
g) Rounded edge - Enabling this option will display rounded edges to the bars of the range and dumbbell plots.
h) Positive variance and Negative variance - From this drop-down, you can select the arrow color for the positive and negative variances.
This option lets you change the appearance of the bar/pin charts. Clicking on this option will open up an Appearance model in which you can configure the following properties:
Positive color - Using this option you can customize the positive color of the bar/marker
Negative color - Using this option you can customize the negative color of the bar/marker
Axis color - This option lets you set the axis color of the chart
You can enable this checkbox to display an axis line for reference, above the chart.
This option lets you customize the fill pattern/style of the bar and target measure. You can set the fill pattern to any of the three relevant IBCS notations: Solid, Hatched, or Outlined.
Using this option, you can choose to show data labels for Target, Variance, and/or Variance %. Using the Show header option, the column header can be enabled or disabled to indicate which labels are shown. In the following image, the Target and Variance% columns are enabled to be shown on the report.
In this section, we covered change/deviation charts. Navigate to the next section to learn more about planning, budgeting, and forecasting.
