Overview

The Graph & Widgets feature transforms how users create data visualizations by allowing them to ask questions in natural language and automatically generate appropriate charts. This powerful functionality eliminates the complexity of traditional chart creation, making data analysis accessible to users regardless of their technical expertise.

Creating Charts and Widgets

Follow these steps to create custom visualizations in VIP: Demo - Create a graph using the VIP

Step 1: Select a Data Layer

Click on a data layer in the left sidebar to activate it
The data will be displayed on the map and become available for visualization

Step 2: Add a New Chart

Click on the "+" button in the Charts panel on the right side of the charts
This will open the chart creation interface

Step 3: Generate a Chart Using AI

The VIP platform offers an innovative AI-powered chart generation feature:

After clicking the "+" button, you'll arrive at the chart creation page
Use the text field to write a prompt describing the visualization you want
Choose a render style (Bar chart, Line chart, etc.) using the dropdown selector
Click the send button to generate the graph
You can check a sample of the data by clicking "View data" if needed

Step 4: Customize Your Chart

Once generated, you can give a title to your widget
Click "Generate the widget" or "Create chart" to finalize

Step 5: Add to Your Dashboard

The new chart will appear in your Charts panel, where you can:

Resize it by dragging the corners
Reposition it by dragging the header
Access additional options via the "..." menu

Two Creation Methods

Write a question (Natural Language Prompts)

Purpose: Ask custom questions about your data in plain text language

How it Works:

Type questions directly about your dataset
Platform interprets the query and analyzes data structure
User selects preferred visualization type

Types of Visualizations

VIP supports various visualization types to suit different analytical needs:

Chart Type	Description
KPI	Highlighting single important metrics or goals
Bar Chart	Comparing values across categories
Bar List	Ranking items by value with horizontal orientation
Rank	Creating ordered lists based on performance metrics
Line Chart	Showing trends and changes over time
Heatmap	Visualizing data density and identifying hotspots
Table

Smart Suggestions

Purpose: Use pre-generated intelligent recommendations

How it Works:

Platform analyzes your dataset characteristics
Generates relevant question suggestions automatically
Pre-selects optimal visualization type
One-click chart creation

"Understand My Logic"

Purpose: Build confidence in generated visualizations levraging transparency on the output

Error Handling and Guidance

When questions cannot be answered based on dataset:

Example Scenario (from transcript):

User Question: "Where is the best pizza in Paris?"
System Response: Cannot generate chart for this question
Explanation: Dataset contains trip information, not restaurant data
Alternative Suggestions: Provides relevant questions that can be answered with available data

Query History

Purpose: Historical Question Tracking
Functionality: Access history of all previously asked questions