My SSRS report does not show all the labels on the horizontal axis. Please see below.
![](data:image/png;base64,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)
Just about everyone who has worked with category names on the Microsoft Reporting Services or .NET chart has encountered this problem: you databind categorical values from a database, but when it is displayed on the chart, it skips labels on the x-axis, like below:
![intervalauto intervalauto](http://betterdashboards.files.wordpress.com/2009/01/intervalauto.png)
How Do I Show All Labels on the X-Axis?
The short answer is, set the Interval property on the x-axis to 1:
1 | // Show all labels on the x-axis |
2 | Chart1.ChartAreas[0].AxisX.Interval = 1; |
Issues Created by Solving the X-Axis Label Issue
Showing every x-axis label produces the intended effect of matching every name to a data point, but it also causes clutter if there are too many points or the names are too long. For example, look at what happens when I databind first and last names of each sales person:
![intervalautolabel1 intervalautolabel1](http://betterdashboards.files.wordpress.com/2009/01/intervalautolabel1.png)
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