However, you can still use the classic chart and even add it to a form or report that has the new chart.
To make a chart interact with the data on a form or report, bind the chart to the same data source as the form or report. Create a form or report bound to a data source.
For more information, see Create a form in Access or Create a simple report. Add a chart to the same form or report. For more information, see Create a chart. Make the Record Source property for the chart the same as the Record Source property for the form or report. Click the chart, open the chart Property Sheet by pressing F4, and then click the Data tab.
Save the form or report, switch to Form or Report view, and then verify that the chart works as expected. For example, filter the form or report by a category field, such as State, Segment or Region, to see different results in the chart.
For more information, see Apply a filter to view select records in an Access database. The following sections provide background information about charts and help you decide which chart to use. A chart has many elements. Some of these elements are displayed by default, others can be added as needed.
You can change the display of the chart elements by resizing them or by changing the format. You can also remove chart elements that you do not want to display. The following diagram shows the basic chart elements.
This section explains each chart and its best-use scenarios. In a column chart, categories display along the horizontal axis Axis Category property and values display along the vertical axis Values Y axis property. Typically, you choose one field for the Axis Category dimension and one or more fields for a Values Y axis dimension, each of which becomes a Data Series. If you choose more than one field for an Values Y axis dimension, consider plotting along a separate Axis.
Uses vertical columns to compare values across horizontal categories. Often used for a range of values item counts , scales survey ratings , and names places or people. Similar to a clustered column chart but shows two or more data series in each column. Often used to show the relationship of the data series to the whole.
Often used to compare the percentages that each data series contributes to the whole. In a line chart, categories are distributed evenly along the horizontal axis Axis Category property and values are distributed evenly along the vertical axis Values Y axis property. Displays continuous, evenly-distributed data along both axes to compare values over time.
Often used to show trends at equal intervals, such as months, quarters, or fiscal years and to compare two or more data series. Similar to a line chart but shows two or more data series in each line.
Often used to compare related trends. Similar to a stacked line chart but shows trends as a percentage over time. Tip If there are many categories or the values are approximate, use a line chart without markers.
In a bar chart, categories are organized along the vertical axis Values Y axis property and values are organized along the horizontal axis Axis Category property. Bar charts reverse the normal placement of the axis and values dimensions.
Uses horizontal bars to compare values across vertical categories. Often used when axis labels are long, or the values are durations. Similar to a clustered bar chart but shows two or more data series in each bar. In a Pie chart, categories show as pie slices Axis Category property. Data values Values Y axis property are summed as a percentage to a whole shown as the pie circle. Choose only one field for the Axis Category dimension and only one field for the Values Y axis dimension.
Do not use the Legend Series field as the Axis Category field becomes the legend by default. Shows the proportion of categories as a percentage to a whole. Best used for one data series of all positive values and less than ten categories. A Combo chart combines two or more chart types, such as a clustered column chart and a line chart, to explain different but related data.
Access supports a Combo chart in which you can combine any of the other single chart types and map each chart to a different data series. For example, map a clustered column chart to a data series of yearly home sales and a line chart to a data series of monthly average price by using the Data Series and Chart Type properties on the Format tab of the Chart Settings pane.
You can also change any single chart to a Combo chart by changing the Chart Type property in the Data tab of the property sheet. Use the following guidelines to help you create the chart that you want and that is easy to understand. Have a game plan when you start. Look at various charts in books, reports, and the World Wide Web. Decide ahead of time which chart works best in your case and the look you want to achieve. Decide the fields that you want to show relationships for in the chart.
Consider creating a query that limits the results to just the fields you need for the chart. As you build your chart, select dimensions one at a time. You can see the changes instantly and understand better how each field, dimension, and aggregation impacts the chart. Aim for simplicity when making the chart. Keep the number of data series small so that the user is not overwhelmed by too many numbers, columns, bars, or slices that are difficult to read.
First get the data relationships and basic chart looking the way you want. Then, format the chart and each data series. Be judicious when, choosing colors, editing text, and adding other chart elements. Aim for a balance between white space and meaning. Experiment with but minimize the use of gridlines, colors, special effects, labels, padding, and other formatting properties.
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Any additional feedback? You will often need a higher level of permissions to create or update a resource than to read it. For details about required permissions, see the method reference topic. For details about permissions, see Permissions reference. Query parameters can be OData system query options, or other strings that a method accepts to customize its response.
You can use optional OData system query options to include more or fewer properties than the default response, filter the response for items that match a custom query, or provide additional parameters for a method. For example, adding the following filter parameter restricts the messages returned to only those with the emailAddress property of jon contoso.
For more information about OData query options, see Use query parameters to customize responses. Aside from OData query options, some methods require parameter values specified as part of the query URL. For example, you can get a collection of events that occurred during a time period in a user's calendar, by querying the calendarView relationship of a user , and specifying the period startDateTime and endDateTime values as query parameters:.
You can either access demo data without signing in, or you can sign in to a tenant of your own. Use the following steps to build the request:. Sample queries are provided in Graph Explorer to enable you to more quickly run common requests. To see the samples that are available, select show more samples.
Select On for the set of samples that you want to see, and then after closing the selection window, you should see a list of predefined requests.
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