• Navigate to the data grid you want to visualize.
• Select Charts > Create Chart to open the editor. Click Bar (it is selected by default).
• The columns eligible for charting from your current grid view are listed.
• If you want to plot using a column that is not visible here, return to the data grid and use Grid Views > Customize Grid to add it.
• If your server is configured to restrict charting to columns marked as "measures" or "dimensions", you will only be able to use columns with those designations.
• Select the column of data to use for separating the data into bars and drag it to the X Axis Categories box.

• Only the X Axis Categories field is required to create a basic bar chart. By default, the height of the bar shows the count of rows matching each value in the chosen category.
• To use a different metric for bar height, select another column (here "Lymphs") and drag it to the box for the Y Axis column. Notice that you can select the aggregate method to use. By default, SUM is selected and the label reads "Sum of Lymphs". Here we change to "Mean"; the Y Axis label will update automatically.

• Click Apply.

• To make a more complex grouped bar chart, click Chart Type to reopen the creation dialog.
• Drag a column to the Split Categories By selection box, here "Gender".

• Click Apply to see grouped bars. The "Split" category is now shown along the X axis with a colored bar for each value in the "X Axis Categories" selection chosen earlier.

• Click View Data to see, filter, or export the underlying data.
• Click View Chart to return. If you applied any filters, you would see them immediately reflected in the chart.
• Further customize your visualization using the Chart Type and Chart Layout links in the upper right.
• Chart Type reopens the creation dialog allowing you to:
• Change the "X Axis Categories" column (hover and click the X to delete the current election).
• Remove or change the Y Axis metric, the "Split Categories By" column, or the aggregation method.
• You can also drag and drop columns between selection boxes to change how each is used.
• Note that you can also click another chart type on the left to switch how you visualize the data with the same axes when practical.
• Click Apply to update the chart with the selected changes.
• Chart Layout offers the ability to change the look and feel of your chart.

There are 3 tabs:

• General:
• Provide a Title to show above your chart. By default, the dataset name is used; at any time you can return to this default by clicking the refresh icon in the field.
• Provide a Subtitle to print under the chart title.
• Specify the width and height.
• You can also customize the opacity, line width, and line color for the bars.
• Select one of three palettes for bar fill colors: Light, Dark, or Alternate. The array of colors is shown.
• X-Axis/Y-Axis:
• Change the display labels for the axis (notice this does not change which column provides the data).
• The range applied to the Y-axis can also be specified - the default is automatic. Select manual and specify the range if desired.
• Click Apply to update the chart with the selected changes.
• When your chart is ready, click Save.

• Name the chart, enter a description (optional), and choose whether to make it viewable by others. You will also see the default thumbnail which has been auto-generated, and can choose whether to use it. As with other charts, you can later attach a custom thumbnail if desired.