The tutorial shows how to quickly create, filter and customize pivot charts in Excel, so you can make the most of your data.
If you've ever felt overwhelmed by a large and cluttered spreadsheet, you're not alone. Fortunately, Excel pivot charts provide an easy way to create stunning visualizations of your data. Pivot charts are like magic: they let you summarize, analyze and explore your data with just a few clicks. By the end of this tutorial, you'll be able to make your own pivot graphs and impress your boss, your colleagues and even yourself with your data skills. Ready to get started? Let's dive in!
Pivot Chart is a dynamic visualization tool that works together with Excel PivotTables. While PivotTables provide a way to summarize and analyze large datasets, PivotCharts offer a graphical representation of that summarized data, making trends and patterns easier to spot.
The beauty of pivot charts lies in their interactivity and flexibility. Like pivot tables, pivot charts are dynamic, meaning they can be easily manipulated to display different aspects of the data.
Pivot graphs are particularly useful for presenting complex data in a clear and concise manner. They enable users to identify trends, compare data points, and draw insights quickly. For example, with a pivot chart, you can easily visualize how sales vary across different geographical regions, product categories, or specific time periods.
You can create different types of charts, such as pie, bar, line or scatter, and customize them to suit your needs. You can also change their layout and appearance by applying different filters, fields, and formats. A pivot chart is linked to the pivot table that it is based on, so any changes you make to the pivot table will be reflected in the graph.
In essence, a pivot chart serves as a visual storyteller, transforming raw data into meaningful insights that are easy to understand and act upon.
Before you start creating a pivot chart, it's important to make sure your data is well-organized and structured. Each column should represent a different variable or category, and each row should contain a unique record. Don't forget to remove any blank rows or columns and double-check your data for errors or inconsistencies.
Tip. If you want your graph to automatically include new records, then format your source data as a table.
With your source data ready, follow these steps to create a pivot chart:
Note. Inserting a pivot chart will automatically include a pivot table alongside it, as these two things are closely related.
Now that you have a blank pivot table and pivot chart ready, it's time to set them up to display your data trends. In the PivotChart pane that appears on the left, you'll find a list of all the fields from your dataset. Select the fields you want to display in the graph, and then drag and drop them into the corresponding areas:
For example, to visualize the total revenue for different project types and statuses, you could drag the "Status" field to the Legend area, "Project type" to the Axis area, and "Total revenue" to the Values area.
Tip. With a Copilot subscription, you can use the AI to create a desired graph simply by expressing your request in a natural language. For more details, see How to visualize with Copilot.
If you already have a pivot table set up, here's how you can easily create a graph from it:
You will find the visual in the same worksheet next to your PivotTable. You can move it to a different location by dragging and change its size using the resize handles, just as you would with any other graph in Excel.
To swiftly make a graph based on a pivot table, you can use the following keyboard shortcuts:
The newly created pivot chart will automatically use the default type. From there, you can easily modify it to suit your preferences by selecting a different chart type.
By default, a pivot chart comes with a filter at the bottom, allowing you to filter the Axis data categories. In some cases, an additional filter may be available on the right side for the Legend, enabling you to hide or show different data series.
To add more filters to a pivot chart, follow these steps:
The added filters will appear at the top of the chart, as illustrated in the image below:
It's important to note that default and custom filters offer different options. The built-in filter automatically included for data categories provides all sorting and filtering options available in Excel:
On the other hand, the custom filter that you add to the Filter area only provides basic filter functionality. By default, it allows selecting just one item. To select multiple items, check the corresponding box at the bottom of the filter window:
Tips:
Pivot charts are not just powerful visualization tools; they're also incredibly flexible, allowing you to tweak nearly every aspect to suit your needs.
To show, hide or format graph elements like axes, labels, and legend, simply click the Chart Elements button (a plus sign) at the upper right corner of the graph:
For changing the chart style, click the Style icon at the upper right corner and choose from various predefined styles:
For more options to adjust colors and styles, explore the Design and Format tabs on the ribbon. These tabs offer additional settings and tools to fine-tune your pivot chart to perfection.
For more information, please refer to How to customize Excel graphs.
You can change the type of your pivot graph at any time after you make it. Here are the steps:
With these simple steps, you can quickly change the appearance of your pivot graph to better suit your data visualization goals.
When you create a pivot chart in Excel, it automatically includes the so-called "field buttons" to help you interact with your data:
By hiding unnecessary field buttons, you can get a cleaner and more focused visualization of your data.
To remove a specific field button, right click that button and then select "Hide Value Fields Buttons on Chart" or "Hide Axis Fields Buttons" or "Hide Legend Fields Buttons", depending on which button you clicked.
If you want to remove all field buttons at once, simply right-click on any button and choose Hide All Field Buttons on Chart.
Another way to hide and show field buttons in a pivot chart is through the Field Buttons options on the PivotChart Analyze tab, in the Show/Hide group:
By default, numeric values in a pivot chart are summed, while non-numeric values are counted. To adjust how data is summarized, Excel offers the following customization option:
When dealing with large datasets in Excel, you may have multiple pivot tables covering different regions or time periods. Imagine you've meticulously set up a pivot chart for one table with specific design and formatting. It would be nice to replicate that visual for another table without redoing all the work. The solution lies in changing the source data for a graph.
In some cases, the pivot chart may appear broken as the fields used in the original graph do not exist in the new data source. For example, when changing from Q1 source data to Q2 data, you may get a blank visual.
To fix this, simply select the Q2 field and drag it to the Values area. Your nicely formatted pivot graph will now display the Q2 data.
To confirm this change, select the graph, click the Change Data Source button on the Analyze tab, and you will see that it is now based on the Q2 table.
Note. Changing the pivot chart data source also alters the data source for the related pivot table.
Similar to a standard graph, you can relocate your Excel pivot chart to another worksheet. Here's how:
You can also easily move your graph back to its original sheet using the same steps.
Refreshing a pivot chart is just like refreshing a pivot table. There are two main methods:
To manually refresh a pivot chart, you have several options:
Choose the method that suits you best to ensure your graph displays the latest data.
To ensure your graph stays up-to-date every time you open your workbook, follow these steps:
Note. The settings you select in this dialog will apply to both the chart and the associated pivot table.
That's how you can create, filter and modify pivot charts in Excel. Experiment with different graph types, layouts, and customization options to find the visualization that suits your data best. With a little practice, you'll be able to create dynamic and informative pivot graphs that effectively communicate your insights.
Excel PivotChart - examples (.xlsx file)
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