How to Create a Slope Chart in SQL Server Reporting Services Part 1

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I have data of the current and previous year. I would like to display it on a slope chart, but this chart type isn’t present in SQL Server Reporting Services (SSRS). I don’t want to purchase third party components. How can I create this visualization using Visual Studio or Report Builder?


A slope chart is a variation of the line chart, but typically it has only two points in time. This allows for an easy comparison of change between the different series. The slope chart was pioneered by Edward Tufte, a data visualization expert and guru, in his landmark book The Visual Display of Quantitative Information. In this tip, we’ll create the following slope chart:

final slope chart

The example is created using Visual Studio 2017, but the solution works in previous versions of SSRS as well. For more examples of the slope chart, see Slope Chart or for more complex example see the website of Tufte.

Creating the Slope Chart in SSRS

Test Data

As the source for the data the Wide World Importers data warehouse is used. It’s possible queries can return slightly different result sets on your system since the data is randomized. The following query returns the sample data we will use in the report:

      c.[Sales Territory]
     ,d.[Calendar Year]
     ,Quantity = IIF([c].[Sales Territory] = 'Plains' AND [d].[Calendar Year] = 2014
        ,SUM(f.[Quantity]) * 0.75 -- make sure at least one territory has declining numbers
FROM [Fact].[Order]     f
JOIN [Dimension].[City] c ON [c].[City Key] = [f].[City Key]
JOIN [Dimension].[Date] d ON [d].[Date]     = [f].[Order Date Key]
WHERE [d].[Calendar Year] IN (2013,2014)
    AND [c].[Sales Territory] <> 'External'
GROUP BY [c].[Sales Territory]
        ,[d].[Calendar Year]
ORDER BY [Sales Territory], [Calendar Year];	

The result set looks like this:

sample data result set

The “External” sales territory is dropped, as it has significant less data than the other sales territories and it would distort the scale of the axis. Also, the data for the “Plains” territory is modified for the year 2014 so that we would have at least one territory where the quantity of sales has dropped. Only the years 2013 and 2014 are kept, since we only need two points in time for a slope graph.

When plotted as a bar graph, we get the following result:

bar graph

Most of the layout defaults are kept, but the X-axis has been configured to display units in the thousands. The configuration of the chart data is as follows:

bar chart config

Although you can compare all the territories within one year (for example the black bars for 2014) or you can compare the different years for a single territory, it requires some mental effort to digest the whole graph. It’s not as easy to spot which sales territory had the minimum or maximum incline. For this type of data, a slop chart will provide easier insights.

Initial Line Chart in SSRS

Let’s turn the bar chart into a line chart. You can do this by clicking on the arrow next to Quantity and selecting Change Chart Type…

change chart type

In the dialog, choose the Line chart type.

switching to line chart

We get the following line chart:

initial line chart

We have two series for the years and the sales territories on the X-axis. For a slope chart however, we want time on the X-axis and the territories on the Y-axis. So let’s switch them around in the data configuration of the chart:

switch axis

Now we achieve the following result:

sales territory

This is starting to look like the slope chart displayed at the start of this tip, but it obviously needs some formatting. By the way, it seems one series is missing, because there are only 7 lines displayed instead of 8, but this is caused by the Far West and the Great Lakes sales territories have nearly identical data points. Again, on your system the data can be slightly different when you have generated the data for the Wide World Importers data warehouse due to randomization.

Formatting the Slope Chart in SSRS

To get to the desired slope chart, formatting is most of the hard work. But let’s start with some basic formatting. First, we get rid of all the white space on the X-axis on the left and the right. Right-click on the horizontal axis and choose Horizontal Axis Properties…

horizontal axis properties

In the properties dialog – at the Axis Options pane and in the Axis range and interval section – change the Side margins property from Auto to Disabled.

change side margins

Next we’re going to get rid of the vertical axis and it’s gridlines. In a later step, we’ll replace the axis with the data labels with the series name concatenated to it. Select the vertical axis and right-click to get the context menu.

get rid of axis and gridlines

There we can simple deselect Show Major Gridlines and Show Axis. To get the slope chart look ‘n feel, we need to enable the horizontal gridlines. The process is the same: right-click the horizontal axis and select Show Major Gridlines.

show horizontal grid lines

The last step of the initial formatting is to show the data labels. Right-click on a series line and enable Show Data Labels.

show data labels

This gives us the following result:

data labels enabled

The black font of the data labels is a bit aggressive compared to the rest of the chart, so let’s change the font color. Right-click on a data label and click on Series Label Properties…

series label properties

In the properties menu, go to the Font pane. There you can change the color to Gray.

change font color

Next, we’re also going to change the number formatting of the labels, so they display the units in thousands. Go to the Number pane. Change the category to Number, enable the 1000 separator and tick the checkbox to show the values in thousands.

number formatting

The chart now has the following layout:

basic formatted slope chart

It already looks much better, but there’s some work left for the labels and the legend. In part 2 of this tip, we’ll tackle this formatting problems, which are a bit tougher.

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About the author
MSSQLTips author Koen Verbeeck Koen Verbeeck is a seasoned business intelligence consultant at AE. He has over a decade of experience with the Microsoft Data Platform in numerous industries. He holds several certifications and is a prolific writer contributing content about SSIS, ADF, SSAS, SSRS, MDS, Power BI, Snowflake and Azure services. He has spoken at PASS, SQLBits, dataMinds Connect and delivers webinars on Koen has been awarded the Microsoft MVP data platform award for many years.

This author pledges the content of this article is based on professional experience and not AI generated.

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