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- 1. Power BI Data Visualization Shruti Agrawal Shashi Shekhar 1
- 2. Introduction to Power BI Data Visualization • Data visualization brings data to life, using colors and shapes to present it, which would otherwise remain as a text or numbers • Data visualization provides an easy way to understand the represented information Importance of Data Visualization: • Easy to Understand: Every day, there is an inflation in data, and it is not easy to understand such a large quantity of data. Data visualization makes this process simple and easy • Interactive Visuals: Using these visuals, we can interact with the data in a better way. For example, we can dig deeper into a visual to obtain the detailed information from it • Easy to Share: Data visualization makes even the sharing part easy. For example, we can share market trends or any other important information using visuals, and our team can also be responsive to it • Personalized and Updatable: Visuals are developed based on the target audience, and they can be easily updated at any time when the data changes 2
- 3. Introduction to Power BI Data Visualization Data Visualization Techniques: • Know your audience • Set a goal • Choose the correct visual • Limit the number of interaction between the visuals • Use certified custom visuals 3
- 4. Visualization in Power BI Power BI provides a wide range of visuals for data analysis : • Charts: We use the chart visuals in Power BI Desktop to quickly create visually stunning and interactive reports and dashboards. Different chart visuals are: Bar chart, Column chart, line chart, Pie chart, Donut chart, waterfall chart, etc. • Cards: A card visual displays a single numeric value. We use multi-row cards and KPIs to present the most important data. Different card visuals are: Single card, Multi row card, KPI • Maps: Power BI is integrated with Bing Maps to identify data locations on the map without even specifying the longitude and latitude of the location. Different Map visuals are: Map, Filled Map, Shape Map, Azure Map. • Tables: Table visuals are used to display data in rows and columns. Different Table visuals are: Table and Matrix • Tree Map: Tree map visuals do not look like but represents a tree, and they also help in data hierarchy 4
- 5. Page Layout and Formatting We can customize reports with the formatting options: • Page View: We can choose the page view as ‘fit to screen’, ‘view actual size’, etc. from the View tab • Page Name: We can give a name to each report to describe the content rather than having the default name • Page Background: We can choose a color for the background or make it transparent, or even, we can have an image as the background to create a highly customized report • Page Size: The default page size of each report is 16:9, which is suitable for most of the monitors and laptop screens. Other sizing options are also available in Power BI Desktop Charts and its formatting: • Each chart can be formatted based on the options available • Formatting of charts includes changing color, background, etc. and adding title, border, and more • We can also sort the data inside a chart based on our requirements 5
- 6. Working with Multiple Visuals Four main things to consider while working with multiple visuals: • Visual Relationships: When we click on a data point in one of the multiple visuals on our report, the other visuals respond by highlighting the corresponding data • Show items with no data: This feature helps us display data that has no value, and by default, Power BI takes the items with no values as zero • Default summarization and categorization: We can change the default sum to average, max, or min and ensure that all the address fields are categorized into City rather than Country or State • Arrange report elements: Arranging report elements means sending visuals forward or backward to create layers known as z-orders. Left, Right, Middle or send backward LEFT RIGHT SEND BACKWARD MIDDLE 6