What is Guage Chart?

Gauge charts display a single metric performance and progress towards a certain goal or against a benchmark. With target and compared to the previous period configuration to measure metric performance and compare to the previous range and progress towards a certain goal or against a benchmark

Gauge Chart With Target and Compared to the Previous Period

• Bullet chart alternative in Google Data Studio. The gauge chart doesn't need to be this big and only used to explain in detail.

• A center blue bar is showing the actual value of the metric, in this example, 2021 YTD revenue.

• In this example, target revenue is set as 2 million, and the blue line represents how far the target has reached so far—the left black line shows the revenue of the last year during the same period.

Chart Configurations:

1. [Metrics] — a center blue bar, color can be configured in the DESIGN tab and Scorecard in the middle

2. [Title/Header] — Add a chart header so audiences can see the metrics used in the chart

3. [Axis] — always show Axis since it's not possible to display the data label for the ranges

4. [Target] — set manually in the DESING tab

5. [Range Limits] — set manually in the DATA tab and best practice to set following range greater than last one. Maximum 5 ranges are allowed.

6. [Data Label - $827,872] — natively displayed as a scorecard in the middle

7. [Target Line Color] — It's default and not possible to change

8. [Range Color] — configurable in the DESING tab, and max value will have the lightest color

Recommended: Yes, see the chart version that suits your need

1. Bullet Chart With Target: to measure metric performance and progress towards a certain goal or against a benchmark

2. Bullet Chart Without Target: It can be configured to display poor, average, and good ranges.

3. Bullet Chart With Target and Compared to the previous period: to measure metric performance and compare to the previous range and progress towards a specific goal or against a benchmark

What is Bullet Chart?

Bullet charts display a single metric performance and progress towards a certain goal or against a benchmark. With target and compared to the previous period configuration to measure metric performance and compare to the previous range and progress towards a certain goal or against a benchmark

Bullet Chart: With Target and Compared to the previous period

• Gauge chart alternative in Google Data Studio. Bullet chart doesn't need to be this big and only used to explain in details

• A center blue bar shows the actual value of the metric, in this example 2021 YTD revenue.

• In this example, target revenue is set as 1 million, and the blue line represents how far the target has reached so far. Light blue displays the revenue of the last year during the same period.

Chart Configurations:

1. [Metrics] — a center bar, color can be configured in the DESIGN tab

2. [Title/Header] — Add a chart header so audiences can see the metrics used in the chart

3. [Axis] — always show Axis since it's not possible to display the data label

4. [Target] — set manually in the DATA tab

5. [Range Limits] — set manually in the DATA tab, and the following range should be greater than the last one. Maximum 3 ranges are allowed.

6. [Data Label - $827,872] — Unfortunately, not possible to display the Data Label in the Bullet chart. In the above example, a scorecard has been placed on the top to show the exact revenue.

7. [Target Line Color] — configurable in the DESING tab

8. [Range Color] — configurable in the DESING tab, and max value will have the lightest color

Recommended: Yes, see the chart version that suits your need

1. Bullet Chart With Target: to measure metric performance and progress towards a certain goal or against a benchmark

2. Bullet Chart Without Target: It can be configured to display poor, average, and good ranges.

3. Bullet Chart With Target and Compared to the previous period: to measure metric performance and compare to the previous range and progress towards a specific goal or against a benchmark

All Google Data Studio charts explained here