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Software ==> | Power BI (160 exercises) |
Topic ==> | Analytics (4 exercises) |
Level ==> | Relatively easy |
Subject ==> | Power BI training |
This exercise is provided to allow potential course delegates to choose the correct Wise Owl Microsoft training course, and may not be reproduced in whole or in part in any format without the prior written consent of Wise Owl.
Open a blank Power BI file and import data from the Excel file called Running Data 2023.xlsx.
The data is an actual running log for a Wise Owl. Shaun trained for and competed in two Half Iron Mans during 2023. See if you can guess which months he did them in?
Add a line chart with Date on the X-axis and Sum of Distance KM on the Y-axis. Set the Date to use the actual Date and not the Date Hierarchy.
This allows you to see single dates.
Use the Analytics panel to add a Trend line to the chart.
A downwards trend towards the end of the year. Who wants to run in the cold and wet!
On a new page, add a line chart with Month from the Date hierarchy on the X-axis and Sum of Distance KM on the Y-axis.
Use the Analytics panel to add an Average line with the following settings:
Rename as AVG Distance
Switch on Data labels
Data label Style set to Both
Change the font colour to black
There are lots of options for Style and Position.
Now add a Y-Axis Constant Line with the following settings:
Rename as Target
Value set to 40
Change the line colour to red
Switch on Data labels
Data label Style set to Both
Change the font colour to black
Sadly, below target!
On a new page, add a line chart with the actual Date on the X-axis and Sum of Calories on the Y-axis.
Using the Analytics panel, switch on Find anomalies.
Anomalies are shown with a marker
When using Find anomalies you can click one to find out more information, although Power BI cannot always find a reason for the anomaly.
Save the file as Never again.pbix
You can find other training resources for the subject of this exercise here:
Kingsmoor House
Railway Street
GLOSSOP
SK13 2AA
Landmark Offices
99 Bishopsgate
LONDON
EC2M 3XD
Holiday Inn
25 Aytoun Street
MANCHESTER
M1 3AE
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