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Donut Chart Showing Most Common Tags for Items Sold

Donut Chart Showing Most Common Tags for Items Sold¶

Time to Complete: 5 minutes

Next we will add a chart where you can quickly see which types of items the company is selling the most of. This information will be helpful for the company marketing team to know how effectively direct advertising.

In this scenario, your manager has expressed interest specifically in items sold from the Denver and New York store locations. Additionally, they have requested to only visualize sales which contain an item costing $1200 or more, in an effort to more closely examine the new line of laptops being sold at these locations and what types of items are being bought with them. You can accomplish this using a filter in your donut chart, as shown in the following procedure.

Construct the Chart¶

1

At the top-right corner of the dashboard, click Add Chart.¶

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3

Select the Chart Type¶

In the Chart Type dropdown, select Circular.
Click Donut below the dropdown.

Donut Chart

A donut chart is a good choice for this chart because donut charts show the relationship of parts to a whole. Using this chart type you can easily get an idea of which tags make up the greatest portion of total sales.

4

Add the desired fields to the proper encoding channels.¶

In the Fields section click the items field to expand the items object and view its properties.
Drag the items.tags field to the Label encoding channel. The Label encoding channel dictates which field to use when dividing the sections of the chart.
In the array reduction dropdown for the items array select Unwind array.
In the array reduction dropdowns for the tags select Array element by index. Using this option you can specify which element of the tags array to visualize.
Enter 0 for the Index input to only visualize the first element of the tags array. The first item tag is the most relevant tag to the item, so it should be the main concern in the visualiztion. This is the primary item tag.

Note

Selecting an array element by index also ensures the chart does not get overcrowded with less important tags as it would had you chosen to unwind the tags array rather than select a specific element.
Drag the id field to the Arc encoding channel.
In the Aggregate dropdown, select count. This option counts the occurrences of the first tag of each item and adds them to the chart.

Your chart should now look something like this:

5

Copy the following filter into the Filters input above the main chart display.¶

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{ storeLocation: { $in: [ "Denver", "New York" ] }, 'items.price': {$gte: 1200} }

This filter specifies that Charts only visualizes item tags from items sold from either the Denver or New York store location where there was an item in the sale costing $1200 or more.

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Click Apply to the right of the filter.¶

Your chart should now look something like this:

Notice how the electronics tag now takes a larger slice of the distribution compared to when not using the filter. Based on this chart, notice that office and school are the two most common primary item tags from sales matching the filter.

7

Title your chart.¶

Hover over your chart title and click the pencil icon.

Copy the following into the chart title input:

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Frequency of Item Tags from Sales in Denver and New York with Price Threshold

Click the check mark to save your title.

8

Click Save and Close at the top-left of the chart builder view.¶

Your dashboard should now look something like this:

Next Steps¶

Now that we have a chart showing the tags of the items sold, it would be helpful to know which specific items are most commonly sold at the various store locations. To do so, refer to the next section to see how to implement a grouped column chart showing the most common items sold by store location.

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