How to add charts to a report in Looker Studio

Eager to start exploring the available charts in Looker Studio? After reviewing the tool’s interface and how to add data sources, now we’ll dive into how we can visualise that data.

In this post, I’ll focus on explaining how to add visualisations and briefly mention the configuration and style options. Each chart has a dedicated post where I detail the most important configuration options for each one.

1. Adding Visualisations to the Report

We covered this earlier when we went over Looker Studio’s interface, but as a reminder, you can add any visualisation in two different ways:

  • From the top menu, by going to Insert and selecting the chart you want to work with.
  • From the second top menu, by clicking on Add a Chart and selecting the one that interests you.

2. Visualisation Configuration and Style

Once the chart has been added to the report, it can be customised. The options vary depending on the chart you’ve chosen, but we’ll cover the most relevant ones when we talk about each specific chart.

To access these customisation options, click on the visualisation, and its properties will appear on the right side of the screen, divided into two columns: Set-up and Style.

By default, the first column you’ll see is Set-up, where you can modify things such as:

  • Dimensions and metrics
  • The order in which the data is displayed
  • Change the date range for only the selected chart
  • Add filters

As I mentioned, depending on the visualisation, different options are available.

If you click on Style, you’ll be able to change things like colors or text size. Here, too, each visualisation has different options. For example, a data table has many more style change possibilities than a scorecard.

If you want to learn more about the specific uses and configuration options for each chart, you can do so by following the links below:

Visualisations for your most important metrics:

To display detailed information:

Trends over time:

Compare values of a dimension:

Understand the weight of category values:

Compare two metrics for a dimension:

Relationship between two variables:

Data hierarchy:

Distribution of one dimension in relation to another:

Sequential impact of positive and negative values:

Maps:

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