However, we can control this behaviour through an X axis property on the chart itself. By default, using a date or datetime dimension on an X axis will display continuously like this.

The data here is far too granular to display all of it across all of the available times. We initially want to work with the raw datetime value, so we can control that by setting the dropdown option in the shared axis section of the chart and selecting the name of the dimension instead of “Date Hierarchy”. This behaviour is on by default but can be turned off (and in many cases, should be).

When the DateAndTime column is added to the X axis, by default it is converted to a date hierarchy. This gets us to our point – what is the best way to display time on the X axis? Plotting with DateTime The 4 different heating/cooling runtimes are used for the column values, the Outdoor temperature is used for the line values (with average being the default aggregation behaviour). We want to plot these runtimes over time, and we will be working with a “Line and clustered column chart” to do this. There are measures for outdoor temperature and heating/cooling system run times in seconds, as well as a date/time dimensions names DateAndTime. The shape of the data is relatively simple. We will be working with thermostat data taken in 5 minute increments over several months. This article will attempt to explain a number of them. There are a lot of options for displaying this data, and they may not all be that well understood. This is particularly true of using date/time on the axis of a chart.

Features like the automated date hierarchy reduce the need for users to construct or connect to a date dimension table (even though they likely should), which helps casual users get to solution more quickly. Power BI contains a number of features that help to display data with respect to time. Dates and times are probably the most commonly used dimensions in Power BI charts, or any charts for that matter.

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