Chart Visualization
There are several Chart choices in Power View. Power View’s charts are interactive. Additionally, the Charts are interactive in a presentation context, allowing you to emphasize the analysis results dynamically. Charts can have numerous numeric variables and series. A chart’s design choices include displaying and removing – labels, legends, and titles.
The following chart visualizations are available in Power View:
- Scatter Chart
- Bubble Chart
- Pie Chart
- Line Chart
- Bar Chart
- Column Chart
Example
To create any chart follow the steps:
Step 1: First, enter data in the format shown below.
Step 2: Navigate to the Insert tab on the Excel ribbon and select the Power View option at the end of the list.
Step 3: When you select the Power View option, a power view report will be loaded and generated within the same worksheet. As illustrated in the picture below, you will have a power view report:
Step 4: Within Power View Fields, pick the Month, Quarter, and Sales Columns from the Range1 section. The ∑ sign is in the Quarter, Sales, and Percentage of Sales columns. It is present because those columns contain numeric data and may be summed.
Step 5: We will now include a graph. Navigate to the Design tab at the top of the ribbon to explore several design possibilities under the Power View Report sheet. Switch Visualization is one among them. This option allows you to include graphs in the Power View Report. Select the choice from the Other Chart.
Step 6: Select the Scatter option from the Other Chart dropdown menu.
Chart Visualizations in Excel Power View
Power View is an Excel Visualization tool that allows you to build visually appealing graphs and charts, dashboards for management, and reports that can be issued daily, weekly, or monthly. When we think of Microsoft Excel, we think of various tools such as Formulae, which makes an analyst’s job simpler, PivotTables, which allows the user to analyze data distributed across a vast number of columns and rows, graph library, which is as comprehensive as any other programming language and so on.
This article will provide an overview of Chart visualizations.
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