animated charts, infographics, heat maps, and interactive boards.

 

The following is a detailed summary of the video "Gemini 3 + NotebookLM creates stunning VISUALS & CHARTS in minutes!" which outlines four specific workflows for converting data into visuals.

Overview

The video demonstrates how to combine NotebookLM (for research and data structuring) and Gemini 3 (for visualization) to create animated charts, infographics, heat maps, and interactive boards.

Workflow 1: Animated Race Bar Chart

Goal: Visualize AI adoption rates by industry over time (2010–2025).

• Step 1: Gather Data in NotebookLM

  • Create a new notebook and use "Discover sources" to search for "AI adoption statistics by industry from 2010 to 2025" [00:41].

  • Import the relevant reports found by the tool.

• Step 2: Structure the Data

  • Ask NotebookLM to provide the data in a "structured year-by-year table format with percentages" [01:02].

• Step 3: Generate Visual in Gemini

  • Copy the dataset and paste it into Google Gemini [01:21].

  • Use the "Canvas" feature and prompt Gemini to create an animated race bar chart. The prompt should specify dynamic movement, clear labels for each year, and distinct colors for industries [01:28].

  • Result: A dynamic chart where bars shift positions as percentages change over time [01:50].

Workflow 2: Infographic from YouTube Content

Goal: Turn long video content into a structured, single-page visual.

• Step 1: Research in NotebookLM

  • Search for YouTube videos on specific topics (e.g., "what is an AI agent," "Agentic AI loops," and "benefits/limitations") [02:38].

  • Import the relevant videos found.

• Step 2: Extract Key Points

  • Ask NotebookLM to extract key explanations and structure them into bullet points with "no filler" [02:59].

• Step 3: Create Infographic in Gemini

  • Copy the summarized points into Gemini [03:28].

  • Prompt Gemini to convert the text into an infographic, specifying sections for core ideas, workflows, and components.

  • Result: A clean, organized infographic that maps out the concepts visually [03:41].

Workflow 3: Animated Heat Map

Goal: Visualize shifting demand for AI-related skills (2015–2025).

• Step 1: Sourcing Reports

  • In NotebookLM, search for "skills gap reports" focusing on shortage intensity and demand peaks [04:29].

• Step 2: Format for Animation

  • Ask NotebookLM to create a structured dataset with years as rows and skill categories as columns, including indicators for emerging roles [04:56].

• Step 3: Animate in Gemini

  • Copy the table to Gemini [05:38].

  • Prompt Gemini to create an animated heat map where each year fades into view row-by-row, showing color intensity for shortages [05:46].

  • Result: A visual timeline where you can see skills "heating up" or cooling off over the decade [06:06].

Workflow 4: Interactive Strategy Board

Goal: Create a dynamic dashboard for AI market trends (2025–2030).

• Step 1: Research Market Trends

  • Search NotebookLM for "latest AI market trend reports" covering drivers, barriers, and business impacts [06:52].

• Step 2: Organize Data

  • Request a structured table with specific columns: Trend Category, Key Drivers, Barriers, Adoption Rate, and Recommended Action [07:15].

• Step 3: Build Interactive Board in Gemini

  • Copy the dataset to Gemini [07:43].

  • Prompt Gemini to build an "interactive market trend strategy board" using HTML, CSS, and JavaScript. Request features like filters for categories and hover panels for details.

  • Result: A functional, interactive web element where users can filter trends and hover over cards to see deep-dive information [08:17].

https://www.youtube.com/watch?v=XzeXELTd84s