Chart Insights for Data Visualization

QuickML includes a Chart Insights feature that generates key insights in natural language based on visualizations created during data analysis. This helps you interpret and explore the underlying dataset by providing meaningful explanations for each chart.

These insights are generated using the Pixtral 12B language model, a powerful 12-billion-parameter multimodal model designed to understand both text and images. It excels in reasoning tasks and is primarily used to generate accurate outputs based on images uploaded by the end-user.   By clicking the Chart Insights icon next to any chart, a side panel will open, presenting key insights and explanations about the selected chart. Within this panel, you can also choose to either copy the generated explanation or regenerate it, letting you refine the insights as needed. This feature provides a deeper understanding of the visualized data without requiring additional manual analysis.

The Chart Insights can be accessed in two places:

While creating a chart

During chart creation, you will find an option to Generate Key Insights. This displays the newly created chart along with its auto-generated explanation.

In the displayed histogram for the DiabetesPedigreeFunction attribute, the data distribution reveals a strong skew toward the lower range. Specifically, the first bin, centered around 0.14, exhibits a high occurrence count of nearly 800, while the second bin at 0.47 shows no recorded values. QuickML’s Chart Explainer interprets this as a significant clustering at the lower end, possibly indicating a dominant trend or factor within that range. The absence of data in the higher bin may suggest an anomaly or data sparsity worth exploring during analysis or modeling.

After chart creation

In the Visualization section, you can view explanations for previously created charts. Here, the model provides a breakdown of key points and insights related to the chart.