Customizing your plot

Plots can generally be highly customized. In any plot, click on the Customize button on the top right corner.

Customize Button

This will open a menu with a myriad of options to customize your plot.

Customize Options


While not immediately obvious, all the cross filters you have currently applied will actually show up in your plot, in real time. You can switch to the Data tab, hone in to a thin slice of your dataset, and come back to the Plot tab and continue editing your chart. All progress will be saved.

By toggling the Customize button, you can swap between the customize panel and the cross filters panel. This will allow you to filter the data while seeing how the changes affect your chart in real time.

Going to another tab like Data or Insights will not reset the state in Plot. You can navigate away safely for quick adjustments.

Axes configuration

Depending on the nature of the variable used for a given axis and the type of chart you are working with, some options will come up to help you shape the data and resulting visualization.

Axes config general

Let’s review some of the common ones:

Temporal Axis

Temporal Axis

If the variable has a time component, the axis configuration will offer some options to aggregate data with different “resolutions”. The smaller the time unit, the finer the visualization.

Particularly for dates, some semantically sensible options are given, such as grouping for each year, week or quarters, among others.

Numeric X axis

Numeric Axis

If the X axis is numeric, binning options are offered based on the extent (minimum and maxium) the column has. “Binning” means to break down the whole range of values in intervals, like chunks, and then seeing how many rows lie in that interval. We can then make aggregations on each of these groups, like counting, averages, medians, and such.

Numeric Y axis

Numeric Y Axis

If the Y axis is numeric, aggregation options

Categorical Axis

If the axis is categorical, we have two options to customize:

We can limit the number of categories and choose only the nn “top” or “bottom” values for that category. This helps in reducing potential noise for categories that don’t have much relevance in your visualization.


We can also sort these categories by some criteria, like the X axis metric, selection, ordinal or alphabetical order.

Categorical Axis

In general, this behavior is shared across the board, with some notable exceptions, like Box plots. All particular cases are discussed in their corresponding page.


Themes are color and typography settings that change the look and feel of your chart. We currently include 7 themes inspired by the most used tools and their aesthetic decisions:

  • Graphext Dark
  • Graphext Light
  • FiveThirtyEight
  • ggplot2
  • Google Charts
  • PowerBI
  • Urban Institute

Theme Selection

Example of a simple chart with all themes applied.


General Tab

The General tab holds options for changing axis names, scales, customize color segments, spacings and such. On top of that, each plot will also display some exclusive options that may only make sense in that type of plot.

Visualization & Orientation

These options are generally available in multi variable charts, like line, area, and bar charts.

The Visualization option allows to include more variables to compare, taking you from a simple bar chart to a more rich grouped bar chart or stacked bar chart, for example.

The Orientation option allows to swap the X and Y axes to make the chart horizontal or vertical. Horizontal charts are useful when the X axis has very long names in each tick.


Axes Scale and Title

Axes customization of titles and scales are also generally available, where it applies. You can customize the Y scale, and titles for each axis. If available, the color display name will change the title above the legend for the colors.

Axes Customization


When available, you can customize the color of each segment and even change the order in which they appear.

Layout tab

The Layout tab remains mostly the same in every chart type. Here you can change the size and proportions of the canvas the chart is over.

You can also add a title, a subtitle, a description and a footer to your chart, essential when publishing anywhere.

Layout Tab

Annotations tab

The Annotations tab allows you to add little pieces of information, like value labels and statistic marks.

This tab and the behavior of the marks will change depending on the orientation and nature of your chart.

Annotations tab


Statistics marks are presented as a line that crosses through the independent axis at the point they represent.

They are useful to gain perspective of that the distribution of your data is.

Show Labels

Enables the value for each segment present in your chart. You can change the formatting and positioning.

Text Annotations

You may also add arbitrary text annotations wherever you want in the independent axis.

Specific options

As previously mentioned, there are some specific customization options to each chart. For example, only the bubble chart has the option to scale up or down the size of each data point.

You may check the specific options for each chart under their corresponding page.