better Visuals, better Decisions
Shielded HTML Viewer
Visualize your HTML formatted content to add valuable context to your figures.
Most business applications allow users to enrich the data by adding additional context. Often, this additional context (like comments and feedback) is stored as HTML formatted text.
Being able to show this additional context adds value to reports and dashboard, as it helps the readers to better understand the presented figures.
The Shielded HTML Viewer will seamlessly display any HTML-5 formatted text next to other figures in your Power BI reports.
The most useful way to see true signals of change in your KPI is to use a Control Chart (XmR chart)
By default all data is noise, but sometimes it contains a real signal. To detect the signals and ignore the noise you can use Control Charts. Without need to know all the statistical details this visual will allow you to see the real signals in your time-series data.
Lipstick Column Chart
Compact and precise visual comparison of two measures with a Lipstick Column Chart
This chart shows the primary measure per category on the foreground, and places the secondary measure behind it for a precise comparison of both values. Since both values are placed on top of each other it becomes a more compact alternative to show both measures per category.
Discover your seasonal patterns with the Cycle Plot
Time series data are great to clarify the changes over time in measures, and the line chart is the favourite chart for this type of data. But displaying results with a normal line chart can also obscure important patterns, especially if the measure contains some form of seasonality. The cycle plot (first introduced by Cleveland, Dunn, and Terpenning in 1978) is a type of line chart specifically developed to show seasonal time series.
Lollipop Column Chart
Declutter your comparisons with a Lollipop Column Chart
To reduce clutter one can use the Lollipop Column Chart as an alternative to the standard Column chart. It shows an icon (mostly a dot) per category at the corresponding measure value for each category. The icon is connected to the measure-axis origin by a subtle line. The icon combined with the line make it a Lollipop Column Chart.
Get to know your data without hiding critical details
Most charts used to display a distribution (like Histogram and box-and-whisker-plot) require you to aggregate the data (e.g. bins). This can potentially hide importent patterns in your data.
The Strip Plot is a chart type that addresses these challenges by not aggregating any of the data points, but by simply showing each point individually. This will not only show you where the (concentration of) observations are, but also where gaps are between subsequent observations.