Am charts stack bar chart post units9/20/2023 ![]() To rename your axis values, simply click on the axis value’s name under Axis Values and type whatever name you would like. If you choose Custom, you will be able to drag and drop the axis values below the Axis Sorting section into whatever order you would like. Custom and Labels will always be options additional options will appear depending on your widget setup. You can change how your x-axis is ordered by using the Axis Sorting options. However, functionality remains the same and you will be able to apply these settings to whatever setup you have chosen. ![]() In this case, the length of the bar will be 100% and it will be divided into sections to match the percentages of each data point.ĭepending on the setup you have chosen for your simple chart, you axis settings options may appear differently from what they are shown as here. This is particularly useful if you are normalizing the widget. If you have your widget broken out with a data series, there will be a stacked bar for each value of the data series field. Switching Stack Chart to Yes will condense the bars in your chart into a single stacked bar. Qtip: “Normalize chart” calculates values the same way the “Metric Value / Row Total” feature does under additional Count Metric Options. This is useful if your data is broken out with a data series and you would like to view the fraction of respondents that selected certain values as relative percentages instead of explicit counts. Switching Normalized Chart to Yes will display each data point in the chart as a percentage out of 100%. ![]() The numerator is the metric we’re interested in, which is the number of people in Customer Success who responded in 2018. These responses make up the denominator of our equation. So, we see that 15 were from Customer Success, 7 were from Marketing, 12 were from Sales, and 30 responses not shown were collected without department data. To get these numbers, we add up each of the metric values from the default chart for responses that responded in 2018 only. This is because the bar is showing the result of this calculation: (15/(15+7+12+30) = 0.23 or 23%. For example, the bar for Customer Success that responded in 2018 displays 23%. A data series will allow you to examine your data on an additional granular level.Įxample: In this screenshot, each bar displays the number of responses for a data point divided by the number of responses in the same data series. To add an additional breakout on top of your X Axis dimension, you can select a Data Series.This acts as a breakout for your selected metric and appears as the additional labels that display at the bottom of your chart. You can then add an X-Axis dimension, if desired.If you decide to use a metric other than count (which does not require additional specifications), you will be required to specify a field for the metric. When setting up your simple chart widget, at minimum, you will need to define a metric.Metrics, X-Axis Dimensions, and Data Series This chart type is particularly useful if you are breaking out your data using a data series. ![]() The Area chart type fills the area beneath the data with a solid color. ![]() Check Spline under Display Options to smooth this line. The Line chart type displays the data points connected by a continuous line.The Horizontal Bar chart type creates a bar chart that is oriented horizontally.The Bar chart type creates a simple vertical bar chart.The simple chart widget has four chart types: Setting up a Simple Chart Widget Chart TypeĬhoosing a chart type allows you to decide the format in which you would like your data to be displayed. Only fields with the above types will be available when selecting your X Axis Dimension or Data Series for a simple chart. The simple chart widget is compatible with the following field types: For the same functionality with a more flexible setup, use the l ine, vertical bars, & horizontal bars widgets. The configuration options for the horizontal bar chart are the same as for the bar chart.Warning: This widget is being deprecated and is no longer supported. ![]()
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