Guided Autocomplete for CanvasXpress

Guided Autocomplete for CanvasXpress is an integrated feature of the CanvasXpress library designed to help users create effective prompts for configuring parameters accurately. This functionality was instrumental in generating the few-shot examples required to train our LLM model.

When users utilize Guided Autocomplete, there is no need to request the LLM model to generate visualizations. Instead, CanvasXpress will swiftly generate the configuration parameters needed for the visualizations. If the prompt cannot be validated, CanvasXpress will forward it to the LLM model for processing.

Keep in mind that setting up the correct configuration is not a complicated task. It's simply about translating the parameters into plain English—there's no need to craft it into poetry.

How it works

Guided Autocomplete can be easily enabled or disabled using the toggle widget in the chat interface. As you start typing, you'll see a set of initial suggestions for how to begin your new sentence. You can simply press the tab key or click to accept a suggestion. If there are multiple options available, pressing tab will select the first one in the list.

Initial Suggestions

Sort data by
Filter data where
Group by
Set the hierarchy to
Set the Sankey axes to
Transform the x-axis to
Transform the y-axis to
Transform the data to
Set the maximum value for the x-axis to
Set the minimum value for the x-axis to
Set the maximum value for the y-axis to
Set the minimum value for the y-axis to
Set the maximum value for the data to
Set the minimum value for the data to
Orient the graph
Use the style
Use the color scheme
Set the title for the graph to
Increase the font size of the graph title
Decrease the font size of the graph title
Set the color of the graph title to
Set the title for the x-axis to
Increase the font size of the x-axis title
Decrease the font size of the x-axis title
Set the color of the x-axis title to
Increase the font size of the x-axis ticks
Decrease the font size of the x-axis ticks
Set the color of the x-axis ticks to
Set the title for the y-axis to
Increase the font size of the y-axis title
Decrease the font size of the y-axis title
Set the color of the y-axis title to
Increase the font size of the y-axis ticks
Decrease the font size of the y-axis ticks
Set the color of the y-axis ticks to
Set the title for the samples to
Increase the font size of the sample title
Decrease the font size of the sample title
Set the color of the sample title to
Increase the font size of the sample labels
Decrease the font size of the sample labels
Set the color of the sample labels to
Set the title for the variables to
Increase the font size of the variable title
Decrease the font size of the variable title
Set the color of the variable title to
Increase the font size of the variable labels
Decrease the font size of the variable labels
Set the color of the variable labels to
Increase the font size of the sankey title
Decrease the font size of the sankey title
Set the color of the sankey title to
Increase the font size of the sankey labels
Decrease the font size of the sankey labels
Set the color of the sankey labels to
Rotate the sample labels 45 degrees
Rotate the sample labels 90 degrees
Rotate the variable labels 45 degrees
Rotate the variable labels 90 degrees
Color by
Shape by
Size by
Line by
Ridge by
Regression Line by
Loess Spline by
Scale the data point size
Show original data
Jitter the data
Bin the data
Hide the legend
Show the legend
Put the legend on the
Divide the legend in two columns
Fit the data with a regression line
Fit the data with a loess spline
Fit the with a quantile regression line
Overlay samples data with factor
Overlay variables data with factor
Add a red horizontal line at
Add a red vertical line at
Add a blue horizontal line at
Add a blue vertical line at
Add a black horizontal line at
Add a black vertical line at
Set the area graph
Set the area style
Join the data points with a
Hide the whiskers
Show single whiskers
Show the inner boxplot in the violin plot
Do not trim the violin plot
Position the histogram bars as
Show the density curve in histogram
Show the filled density curve in histogram
Show median line in density plot
Show histogram bars in density plot
Set the density curve in density plot to
Show the quantile lines in ridgeline plot
Show the density data points in ridgeline plot
Show filled contour
Show contourdata points
Cluster the variables
Cluster the samples
Set the bullet target variable to
Set the bullet range stack to
Set the R Axis to
Set the track names to
Set Venn groups to

Based on the initial suggestion, Guided Autocomplete will propose ways to complete the sentence. Several of these suggestions exhibit a well defined structured format.

Example of an Structured Suggestion

Create a {graph} of {column} {concatenator}

When you begin typing your suggestion, the guided autocomplete will automatically complete the sentence with the available graph types in CanvasXpress, such as bar graph, line graph, scatter plot, and more. Once you select the graph type, the guided autocomplete will add the term 'of' and suggest the columns from your dataset. After you finish typing the first column, the guided autocomplete will propose a comma, a period, or 'and' to help you concatenate the entries.