You won’t be surprised to learn there are a variety of ways to develop visualisations.

To be able to give report users the filter data capability add a filter and in Power BI this is called a Slicer.

On occasions you will want to present a visualisation with two different measures for example revenue and units in the same chart. The best option for this scenario is a combination chart. These charts display a line with different axes.

Power BI utilises Bing maps to enable users to review geographical relationships in their data. An example would be sales linked to geographical locations.

Tables and matrices are a powerful way to communicate the importance of your data.

Scatter charts are a powerful way to illustrate sales or unit sales versus revenue performance over time.

This type of chart is useful to show changes for a value over time.

Gauges, Cards, KPI visuals provide a historical numerical value. The number value indicates a trend over a period of how that, number has changed

Power BI provides numerous formatting options to empower you to brand your reports to your organisation preferred style.

Using shapes, text, images can help branding and help readers to focus on key points.

Page layout & formatting are important considerations prior to publishing your reports. 

Amending default relationships between visuals to display the required results will empower report readers. 

Duplicate a page and amend titles and fields is a considerable time saver.

Identifying categories with no data is an important skill.

There are occasions when you will need to change the properties of fields to help report visualises. An example would be a sales margin is totalled when you require an average of the sales margin. A further example would be geographical locations. Cities may be states or countries.

Z-order refers to the order in which visuals are displayed for example a title needs to be on top of the background image. 

A report with multiple visuals can mask individual visuals message. Focus mode allows you to fill the screen with just one visual allowing report readers to explore the detail. 

A logical hierarchical data structure can empower report readers to intuitively navigate through the data.

Use R visuals within Power BI.

The workshop is an important opportunity for you to confirm what you do or don’t understand. Mistakes are often a better learning experience than getting everything right the first time so if you do make mistakes no one needs to know. On the positive side, you are unlikely to repeat your error. Good luck.