Sparkline is a mini line chart without axis and labels to get more context about the trend of a displayed metric for a specific period or variation series. It is often used in data visualization through tables displaying metric trends…

For a lot of cases, legends are not the best visualization solution for line chart (and similar trends chart types). Often, the chart and related data are simple BUT complicated to read because of it requires back and forth to…

Building a statistics annual report is a nice exercise for challenging the way to display metric values comparison over a granularity of time inside our data visualisation tool. We could decide to use the default available feature of the tool,…

To fit to columns width in table charts or axis size, truncating long texts at the right – like proposed inside Looker Studio – is not always the best visualisation solution for dimension values. On the other hand, the Looker…

Data label is an optimized solution to avoid the use of chart legend, putting directly the right and short information inside your chart. But sometimes we face constraints and limitation for customization inside Looker Studio (formerly known as Google Data…

The purpose of this article is not to debate about the right cases & visualisation opportunities to use controversial pie charts or donut charts. This post is just made to address a simple need 🙂 Through this tip, we will…

Information displayed by default inside an interactive report must be chosen preciously, and it is particularly the case for data labels in a time series chart. Commonly, we don’t need to display labels for all points because we read dashboards…

Dashboard KPIs are often enhanced with time comparison (with the previous period or the previous year) as a small score card, and also with sparkline to get more context about the trend of the KPIs during the selected period. This…

In most cases, built-in chart legend proposed inside Looker Studio (formerly known as Google Data Studio) addresses our needs. A list of label values corresponding to displayed colors in your chart. But there are some limitations about chart layout we…

Few months ago, I’ve written an article introducing some techniques to give data context to your Google Data Studio reports using info icons, descriptions, summary of selected data, graph comments… Some of them are contextual to current displayed data, and…

Finding the best ergonomic and graphic solutions to display data is a big challenge regarding: Report goals Context usages Audience maturity (report readers) Data visualisation tool features and limits What is the purpose of this report, this slide, this chart?…