1. Understanding the visualizations
Welcome back! Let's continue on our journey to transform raw data into captivating stories using Power BI Service.
2. A gallery of common visualizations
Power BI offers a diverse range of visualizations to suit your data story's needs. Here's a glimpse of some commonly used ones:
First up is bar charts which are ideal for showing comparisons of categories across a measure value.
3. A gallery of common visualizations
While a line chart is usually used to show trends over time.
4. A gallery of common visualizations
Then comes a pie chart which can be used to show proportions of data distributed across categories,
5. A gallery of common visualizations
and lastly map charts, which are used for geographical analysis. As you explore Power BI, you'll discover more visuals and options to bring your data to life!
6. Building blocks of visualizations
Visualizations are the windows into your data story.
Here we have a visual that shows total website sessions by year and quarter for different user types.
7. Building blocks of visualizations
While some charts, like bar charts, utilize X-axis for categories or time, pie charts don't. However, they have a Y-axis representing the values, example, percentage of website traffic from each marketing channel.
8. Building blocks of visualizations
The legend identifies the different data categories with colors. In this case, it's the user types.
9. Building blocks of visualizations
Finally, titles and labels provide context and clarity, which explains the overall message and specific data points.
10. Building blocks of visualizations
You can also hover over any visual to see some additional details. These are called tooltips.
11. Categorical vs numerical data representation
Not all data types are equal. Understanding the type of data you're working with is crucial for choosing the right visualization.
Imagine your data as a collection of fasteners – nails, screws, bolts, and more. Each fastener has a specific purpose and requires the right tool for the job. Similarly, your data visualizations act as your toolbox. Just like a hammer wouldn't be effective for tightening a screw, using the wrong visualization for your data type can lead to misleading insights.
12. Categorical vs numerical data representation
Categorical data acts like labels on drawers in your toolbox. They represent categories or classifications, like customer segments.
13. Categorical vs numerical data representation
Numerical data is like the measurements of your nails and screws – lengths, weights, degrees.
It represents quantities or measurements in form of aggregations like sum, average for sales figures or product price.
14. Let's practice!
Let's practice a few exercises!