Notebookllm Prompts

 

Prompt:

"Convert the newspaper image [insert image link or upload image] into text. Please identify all text within the image, including headlines, articles, captions, and any other relevant information."

Additional details you may want to specify:

• Language: If you know the language of the newspaper, specify it.
• Format: If you have a preference for the output format (e.g., plain text, CSV, JSON), specify it.
• Specific areas: If you're interested in extracting text from specific sections of the newspaper (e.g., the headline, a particular article), indicate this.

Example:

"Convert the newspaper image into text. The language is English. Please output the results in plain text format, focusing on the headline and the main article."

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Prompt:

    "Convert the image [insert image link or upload image] into text. Please identify any text, logos, or symbols within the image."

Additional details you may want to specify:

    Language: If you know the language of the text, specify it.
    Format: If you have a preference for the output format (e.g., plain text, CSV, JSON), specify it.
    Context: Provide any relevant context about the image, such as the subject matter or source.

Example:

    "Convert the image of a business card into text. The language is English. Please output the results in plain text format."

 

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Markdown Syntax for NotebookLM

Markdown is a lightweight markup language that is easy to learn and use. It allows you to format plain text documents with simple syntax. NotebookLM supports Markdown for creating formatted content within your notebooks.

Basic Formatting

• Headings:
  • # Heading 1
  • ## Heading 2
  • ### Heading 3
  • ...
• Paragraphs:
  • Simply leave a blank line between paragraphs.
• Emphasis:
  • Bold: **Bold text**
  • Italic: *Italic text*
• Code:
  • \ for inline code (e.g., \code``)
  • Code snippet

    ```python
    def hello_world():
        print("Hello, world!")
    

Lists

• Unordered lists:
  • * Item 1
  • * Item 2
• Ordered lists:
  • 1. Item 1
  • 2. Item 2

Links

• [Link text](URL) (e.g., [Google](https://www.google.com))

Images

• ![Image description](URL) (e.g., ![A cat](https://example.com/cat.jpg))

Blockquotes

• > This is a quote.

Tables

Column 1	Column 2
Cell 1	Cell 2
Cell 3	Cell 4

Horizontal Rules

• --- or ***

Remember: NotebookLM may support additional Markdown extensions or features. Refer to the specific NotebookLM documentation for more details.

Would you like to learn more about a specific Markdown element or explore additional features?

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Markdown Examples

Basic Formatting

• Headings:
  • # This is a heading 1
  • ## This is a heading 2
  • ### This is a heading 3
• Paragraphs:
  • This is a paragraph.
  • This is another paragraph.
• Emphasis:
  • Bold text
  • Italic text
• Code:
  • Inline code: print("Hello, world!")
  • Code block:
    Python

    def add(x, y):
        return x + y
    

Lists

• Unordered lists:
  • Item 1
  • Item 2
• Ordered lists:
  • 1. Item 1
  • 2. Item 2

Links

• Google

Images

• Image of a cat

Blockquotes

This is a quote.

Tables

Column 1	Column 2
Cell 1	Cell 2
Cell 3	Cell 4

Horizontal Rules

• ---

---

Would you like to see examples of how to combine these elements to create more complex content?

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40 Analytical Prompts for Timeline Creation with NotebookLLM.google.com

While NotebookLM can't directly generate timelines, it can help you analyze your documents and extract key events to build a timeline. Here are 40 prompts categorized by function:

Extracting Events:

1. Identify key events, milestones, or turning points mentioned in the documents.
2. Extract dates or timeframes associated with important events.
3. Focus on events related to a specific person, organization, or topic.
4. Distinguish between major and minor events based on their significance.
5. Identify causal relationships between events (e.g., event A led to event B).
6. Look for sequential events to establish a chronological order.
7. Find recurring events or periodic activities described in the documents.
8. Extract the duration of events (e.g., wars, projects, research phases).
9. Identify simultaneous events happening at the same time in different locations (if applicable).
10. Look for changes in policies, laws, or leadership that mark significant shifts.

Organizing the Timeline:

11. Order events chronologically from earliest to latest.
12. Group related events together to create thematic sections in the timeline.
13. Use color coding to differentiate between different types of events.
14. Highlight important events with visual markers for easier identification.
15. Include annotations or brief descriptions for each event on the timeline.
16. Consider the scale of the timeline (e.g., years, decades, centuries) based on the timeframe covered.
17. If applicable, include geographical references for events happening in specific locations.
18. Differentiate between planned and actual events based on the information available.
19. Consider the relative importance of each event when allocating space on the timeline.
20. Separate ongoing events from past events with clear visual cues.

Enhancing Context:

21. Use NotebookLM to identify key figures or participants involved in each event.
22. Include quotes or excerpts from the documents to illustrate the significance of events.
23. Add visuals like images or icons to enhance understanding of the events.
24. Consider incorporating external information (e.g., historical context) to enrich the timeline.
25. Identify any potential gaps in the timeline where information is missing.

Tailoring the Timeline:

26. Focus the timeline on a specific period or topic if your documents cover a broad range.
27. Consider the target audience and tailor the level of detail accordingly (e.g., simple for general audiences, detailed for academic purposes).
28. Choose a visual style that is clear, concise, and aesthetically pleasing.
29. Include a legend or key explaining any symbols or colors used in the timeline.
30. Ensure the timeline is well-organized and easy to navigate for users.

Advanced Analysis:

31. Use NotebookLM to identify trends or patterns of events over time.
32. Analyze the causes and consequences of major events described in the documents.
33. Compare timelines from different sources to identify similarities and differences.
34. Use NotebookLM to identify key decision points or turning points in a historical narrative.
35. Explore the lifespans of individuals, organizations, or projects depicted in the documents.

Additional Prompts:

36. Create a timeline to visualize the development of a specific concept or technology.
37. Use a timeline to track the progress of a research project or scientific discovery.
38. Develop a timeline to compare the historical events of different countries or regions.
39. Create a timeline to map out the evolution of a social movement or political ideology.
40. Use a timeline to present a biographical account of a significant historical figure.

By using these prompts and the analytical capabilities of NotebookLM, you can effectively build informative and visually engaging timelines from your uploaded documents.

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Analytical Prompts for NotebookLM:

Understanding the Source Material:

1. Main Idea: Briefly summarize the central argument or key takeaway of the document(s).
2. Key Points: Identify the most important points made in the source(s).
3. Supporting Evidence: What evidence does the author(s) use to support their claims?
4. Credibility: Evaluate the credibility of the source(s). Are the authors experts in their field? Is the information presented objectively?
5. Bias: Identify any potential biases present in the source(s). How might this bias affect the interpretation of the information?

Analyzing Arguments and Logic:

6. Strengths & Weaknesses: Analyze the strengths and weaknesses of the argument(s) presented in the source(s).
7. Counterarguments: Are there any counterarguments or opposing viewpoints considered?
8. Logical Fallacies: Identify any logical fallacies used in the reasoning of the source(s).
9. Assumptions: What underlying assumptions are made by the author(s)? Are these assumptions valid?
10. Implications: What are the potential implications or consequences of the arguments presented?

Comparing and Contrasting Sources:

11. Similarities & Differences: How do the different sources in your notebook compare and contrast with each other?
12. Agreement & Disagreement: Do the sources agree on the main points? Identify areas of agreement and disagreement.
13. Conflicting Information: Are there any inconsistencies in the information presented across different sources? How can you reconcile these discrepancies?
14. Evolution of Ideas: Is there evidence of how the understanding of the topic has changed over time between the sources?
15. Different Perspectives: How do different sources provide different perspectives on the same topic?

Critical Thinking and Evaluation:

16. Open Questions: What questions remain unanswered by the sources?
17. Further Research: What avenues for further research are suggested by the information presented?
18. Real-World Applications: How can the information presented be applied to real-world situations?
19. Ethical Implications: Are there any ethical considerations raised by the information presented in the source(s)?
20. Validity & Reliability: Evaluate the validity and reliability of the information presented in the source(s).

Exploring Deeper Meanings:

21. Figurative Language: Identify any figurative language used in the text (metaphors, similes, etc.). How does this language contribute to the meaning?
22. Symbolism: Are there any symbols used in the text? What is their significance?
23. Historical Context: How does the historical context of the source(s) influence the interpretation of the information?
24. Underlying Values: What are the underlying values or beliefs reflected in the source(s)?
25. Target Audience: Who is the intended audience of the source(s)? How does this influence the presentation of information?

Creative Analysis:

26. Alternative Endings: If the source is a story, propose an alternative ending.
27. Different Point of View: Retell the story or information from a different character's perspective.
28. Modern Application: How could the ideas presented in a historical document be applied to modern society?
29. Connect the Dots: Find connections between seemingly unrelated sources in your notebook.
30. Generate Questions: Create a set of discussion questions based on the information presented in the source(s).

Going Beyond the Text:

31. Visual Analysis: If the source includes images, analyze the visual content and its connection to the text.
32. Author's Background: Research the author's background and how it might influence their writing.
33. Historical Events: Research any historical events mentioned in the source and their relation to the text.
34. Cultural Context: Explore the cultural context of the source and its impact on the message conveyed.
35. Expert Opinions: Look for opinions from experts in the field to provide additional perspectives on the topic.

Synthesizing Information:

36. Create an Outline: Generate a comprehensive outline of the key points in the source(s).
37. Develop a Thesis Statement: Formulate a clear and concise thesis statement based on the information presented.
38. Write a Summary: Compose a summary

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Research and Summarization Prompts:

1. Summarize the key arguments of this article. (Upload a research paper or news article)
2. Identify the main findings of this study and explain their significance. (Upload a scientific paper)
3. Create a timeline of the events described in this historical document. (Upload a historical text)
4. Generate a list of pros and cons for the policy discussed in this article. (Upload a policy paper)
5. Who are the main characters in this story, and what are their motivations? (Upload a literary work)
6. What are the scientific concepts explored in this documentary? Explain them in simpler terms. (Provide a link to the documentary)
7. Compare and contrast the views of the two authors on this topic. (Upload two related articles)
8. What are the ethical implications of the technology described in this article? (Upload a tech article)
9. Generate a research question based on the information presented here. (Upload a variety of sources on a topic)
10. Create a glossary of key terms related to this subject. (Upload a specific topic-related document)

Creative Writing Prompts:

11. Write a poem inspired by the imagery in this painting. (Provide a link to a painting)
12. Continue the story from a different character's perspective. (Upload a short story)
13. Rewrite this scene using a different narrative style. (Upload a scene from a book)
14. Imagine a world where [insert a concept] is real. Describe it in detail.
15. Create a dialogue between two historical figures who never met.
16. Write a song based on the themes of this novel. (Upload a novel)
17. Develop a character profile based on the information provided. (Upload a character description)
18. Craft a news headline that summarizes this fictional event.
19. Rewrite this fairy tale with a modern twist.
20. Design a product or service to solve a problem in this fictional world. (Based on a book or movie)

Note Taking and Organization Prompts:

21. Generate an outline for my research paper on [topic].
22. Help me identify the key takeaways from this lecture. (Upload lecture notes or recording)
23. Create a mind map to visualize the connections between these ideas. (Provide a list of topics)
24. Summarize the main points of each paragraph in this article. (Upload a long article)
25. Paraphrase this quote to ensure I understand its meaning.
26. Turn this bulleted list into a cohesive paragraph.
27. Help me identify any potential biases in this source. (Upload a source)
28. Check my writing for grammar and clarity.
29. Suggest relevant sources I can add to my research on this topic.
30. Generate a study guide based on these notes. (Upload multiple sources)

Argumentation and Brainstorming Prompts:

31. Develop a counterargument to the main point of this article. (Upload an opinion piece)
32. List potential solutions to the problem discussed here.
33. Brainstorm creative marketing ideas for this product.
34. Help me identify the strengths and weaknesses of my presentation outline.
35. Generate a list of interview questions for this expert. (Research the expert's field)
36. Craft a persuasive email requesting a meeting.
37. Develop a plan to achieve my goal of [insert goal].
38. Help me anticipate potential challenges in this project.
39. Suggest ethical considerations for this research project.
40. Rewrite this email in a more professional and concise manner.

I hope this variety of prompts gives you a good starting point for using NotebookLM!

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40 Analytical Prompts for NotebookLM.google.com

Here are 40 prompts categorized by function to help you analyze your uploaded documents:

Understanding Content:

1. Identify the main argument or thesis of each document.
2. Summarize the key points of each document.
3. Extract the main findings or conclusions from the research papers.
4. Identify any inconsistencies or contradictory information across documents.
5. Find examples or case studies that support the arguments presented.
6. Generate a timeline of events or key developments discussed in the documents.
7. Compare and contrast the perspectives of different authors on the same topic.
8. Identify the strengths and weaknesses of the arguments presented in the documents.
9. Highlight any biases or limitations of the research methods used in the studies.
10. Analyze the tone and language used in the documents (e.g., formal, persuasive).

Making Connections:

11. Identify any relationships between different concepts or ideas presented.
12. Find common themes or recurring arguments across the documents.
13. Explore how the information in one document can be applied to another topic.
14. Identify gaps in the research or areas that require further investigation.
15. Generate new questions or hypotheses based on the information presented.
16. Suggest potential solutions to problems identified in the documents.
17. Recommend further resources for deeper exploration of the topic.
18. Create a mind map to visualize the connections between ideas.
19. Develop an argument or thesis based on the information gathered.
20. Forecast potential future trends or implications based on the presented research.

Evaluating Credibility:

21. Identify the credentials and expertise of the authors of each document.
22. Evaluate the quality of the evidence used to support the arguments.
23. Check for any citations or references used in the documents.
24. Verify the reliability and accuracy of the sources used in the research.
25. Identify any potential conflicts of interest on behalf of the authors.

Applying Information:

26. Develop an action plan based on the information gathered.
27. Create a presentation or report summarizing the key findings.
28. Craft persuasive arguments or proposals based on the research.
29. Generate a study guide or review sheet for the material presented.
30. Design a research question or project based on the identified gaps in knowledge.

Exploring Different Formats:

31. Convert a complex document into a FAQ format for easier understanding.
32. Transform research findings into a news article or blog post.
33. Generate a script for a podcast summarizing the key points.
34. Create a visual representation of the data presented in the documents (e.g., charts, diagrams).
35. Develop a social media post highlighting the main takeaways from the research.

Additional Prompts:

36. Identify any ethical considerations related to the topics discussed in the documents.
37. Analyze the potential impact of the research findings on society.
38. Explore the cultural context of the information presented.
39. Generate alternative interpretations of the data or research findings.
40. Compose a fictional story inspired by the ideas presented in the documents.

By using these prompts, you can effectively analyze the information in your uploaded documents with NotebookLM. Remember to adapt these prompts to your specific research needs and the type of documents you're working with.

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40 Analytical Prompts for Visualizing Data in NotebookLM.google.com

While NotebookLM can't directly generate visuals, it can help you analyze data and prepare it for visualization in other tools. Here are 40 prompts categorized by data type to guide your analysis for visual representation:

Quantitative Data:

1. Trends: Identify trends over time for variables like sales, customer growth, or stock prices. Use NotebookLM to find relevant data points and suggest a line chart.
2. Comparisons: Analyze differences or similarities between groups. Ask NotebookLM to compare metrics across categories (e.g., product types, demographics) and suggest a bar chart.
3. Composition: Explore how a whole is made up of its parts. Use NotebookLM to identify components (e.g., revenue sources, budget allocations) and suggest a pie chart.
4. Relationships: Investigate correlations between variables. Ask NotebookLM to find relationships between two numerical variables (e.g., income and education) and suggest a scatter plot.
5. Distribution: Analyze how data is spread out. Use NotebookLM to identify the range and frequency of a single variable (e.g., customer age) and suggest a histogram.
6. Changes: Identify the rate of change in data. Ask NotebookLM to calculate growth rates or percentage changes over time and consider a line chart with slope annotations.
7. Outliers: Detect data points that fall outside the expected range. Use NotebookLM to identify outliers in your data and suggest highlighting them in your chosen visualization.

Qualitative Data:

8. Themes: Use NotebookLM to identify recurring themes, topics, or keywords in your documents and suggest a word cloud visualization.
9. Sentiment: Analyze the overall tone or emotion expressed in the documents. Use NotebookLM to identify positive, negative, or neutral sentiment and suggest a color-coded bar chart or heatmap.
10. Concepts: Identify key concepts or entities mentioned frequently. Ask NotebookLM to extract key terms and suggest a network diagram to show relationships between them.
11. Locations: Extract geographical references from documents and propose a map visualization to show data distribution by location.
12. Sources: Analyze the origin of information or data. Use NotebookLM to identify the sources of information in your documents and suggest a chart showing the distribution of sources.

Comparative Analysis:

13. Trend Comparison: Compare trends over time for multiple variables using line charts with multiple lines. Ask NotebookLM to identify key trends and suggest highlighting them with different colors or annotations.
14. Stacked Bar Charts: Compare total and component values across categories using stacked bar charts. Use NotebookLM to identify data points for each category and sub-category.
15. Pie Chart Comparisons: Compare the composition of different entities using multiple pie charts. Ask NotebookLM to identify the components and their proportions for each entity.
16. Scatterplot Matrix: Explore relationships between multiple variables simultaneously using a scatterplot matrix. Use NotebookLM to identify potential correlations and suggest highlighting them with color coding or trendlines.
17. Heatmaps for Comparisons: Compare data points across two or more dimensions using heatmaps. Ask NotebookLM to identify values for each combination and suggest color coding based on intensity.

Advanced Analysis:

18. Geographical Correlations: Analyze correlations between geographical data and other variables using color-coded maps. Use NotebookLM to identify relevant geographic data and suggest overlaying it with other analyzed metrics.
19. Time Series Analysis: Identify seasonal patterns or cyclic trends using time series visualizations. Ask NotebookLM to extract data points for specific time intervals and suggest highlighting recurring patterns.
20. Boxplots for Distributions: Compare the distribution of data across multiple groups using boxplots. Ask NotebookLM to identify key statistics (median, quartiles) for each group and suggest visualizing them with boxplots.
21. Interactive Visualizations: Consider creating interactive visualizations with tools like Tableau or Power BI to allow users to explore the data dynamically. Use NotebookLM to prepare the data in a structured format for these tools.

Additional Prompts:

22. Identify the target audience for the visualization and tailor the visual style accordingly (e.g., simple for general audiences, complex for technical audiences).
23. Use color effectively to highlight important data points or trends. Ask NotebookLM for data ranges and suggest using color gradients or contrasting colors.
24. Include clear and concise labels, titles, and legends for easy understanding.
25. Consider the purpose of the visualization: Is it to inform, persuade, or entertain? Use NotebookLM's summaries and key points to guide the visual design.
26. Ensure accessibility for people with visual impairments by using high contrast color schemes and providing alternative text descriptions for visuals.

 

27. Data Storytelling: Use NotebookLM to identify the key narrative or message in your data and design the visualization to tell a compelling story. Consider using a sequence of visualizations to guide the viewer through the data.
28. Interactive Storytelling: Create interactive visualizations that allow users to explore the data at their own pace and uncover hidden insights. Use NotebookLM to identify relevant data points and suggest interactive elements like tooltips, filters, or drill-down capabilities.
29. Annotation and Context: Add annotations, explanations, or context to your visualizations to provide additional information or insights. Use NotebookLM to identify relevant context and suggest adding annotations or explanatory text.
30. Customization: Allow users to customize the visualization to suit their preferences or needs. Use NotebookLM to identify relevant customization options and suggest including them in your design.

Data Visualization Tools:

31. Excel or Google Sheets: Use built-in charting features to create basic visualizations like line charts, bar charts, and pie charts.
32. Tableau: A powerful data visualization tool for creating complex and interactive visualizations.
33. Power BI: Another popular tool for creating interactive dashboards and reports.
34. Python Libraries: Use libraries like Matplotlib, Seaborn, and Plotly to create custom visualizations in Python.
35. R Packages: Use packages like ggplot2 and plotly to create visualizations in R.

Additional Considerations:

36. Data Quality: Ensure that your data is clean and accurate before creating visualizations. Use NotebookLM to identify and address any data quality issues.
37. Audience: Consider the target audience for your visualization and tailor the design and complexity accordingly.
38. Purpose: Determine the purpose of the visualization (e.g., inform, persuade, explore) and design it accordingly.
39. Accessibility: Ensure that your visualizations are accessible to people with disabilities by using appropriate color schemes, fonts, and alternative text descriptions.
40. Iteration: Be prepared to iterate on your visualizations based on feedback or new insights. Use NotebookLM to analyze the effectiveness of your visualizations and suggest improvements.

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40 Formatting Options for NotebookLM Timeline Output

While NotebookLM doesn't directly create visualizations, it can help you format your timeline for a clear and informative presentation. Here are 40 options for formatting your timeline output:

Basic Formatting:

1. Chronological Order: Ensure events are listed in chronological order, starting with the earliest event and progressing to the latest.
2. Dates & Times: Include specific dates and times for each event for precise positioning on the timeline.
3. Event Titles: Use clear and concise titles for each event that accurately reflect its content.
4. Descriptions: Add brief descriptions for each event, providing relevant details or context.
5. Bullet Points: Use bullet points to list multiple events within a single time period for easier readability.

Visual Enhancements:

6. Horizontal Bar Chart: Use a horizontal bar chart to represent the timeline, with events positioned on the bar according to their dates.
7. Vertical Timeline: Consider a vertical timeline layout, especially for timelines spanning long periods, with dates listed vertically along the left side.
8. Color Coding: Assign colors to different categories of events for better organization and visual distinction.
9. Icons or Images: Include relevant icons or small images alongside events for visual interest and added context.
10. Milestones: Highlight key milestones or turning points within the timeline with larger text or different formatting.

Advanced Formatting:

11. Grouping Events: Group related events under a common heading to organize your timeline and improve readability.
12. Sub-Timelines: Create nested timelines for complex events with sub-events or developments over time.
13. Annotations: Add annotations or footnotes to provide additional information or clarify specific events.
14. Highlighting: Emphasize important events with bold text, different fonts, or background colors.
15. Visual Dividers: Use visual separators like lines or bars to mark different periods on the timeline.

Interactive Elements (if exporting to a compatible tool):

16. Tooltips: Add tooltips that appear on hover, providing detailed descriptions of events when users hover over them.
17. Zoom Functionality: Allow users to zoom in and out of specific sections of the timeline for closer inspection.
18. Filtering: Enable filtering of events based on categories, dates, or keywords for focused exploration.
19. Linking to Resources: Link events to external resources like documents or websites for further information.
20. Interactive Markers: Use interactive markers on the timeline that users can click on to reveal more details.

Presentation Considerations:

21. Font Choice: Select a readable font that is appropriate for your audience and presentation format.
22. Font Size: Adjust the font size to ensure clear visibility for viewers, especially when presenting on large screens.
23. Color Scheme: Choose a color scheme that is visually appealing, balances contrast, and adheres to accessibility guidelines.
24. White Space: Allow enough white space between entries and on the edges for a clean and organized look.
25. Alignment: Align text and elements neatly for improved readability.

Content Curation:

26. Focus & Relevance: Ensure the timeline only includes events relevant to the topic and timeframe.
27. Source References: Cite your sources if you've used information from other resources for credibility.
28. Accuracy & Verification: Double-check the accuracy of dates and information included in the timeline.
29. Target Audience: Tailor the level of detail and presentation style to your intended audience.
30. Engagement: Consider including interactive elements or quizzes to engage viewers with your timeline.

Export and Sharing:

31. Plain Text: Export the timeline as plain text for easy sharing or integration into other documents.
32. HTML: Export the timeline as HTML for online sharing or embedding on websites.
33. PDF: Export the timeline as a PDF for a print-ready or professional presentation format.
34. Image: Export the timeline as an image for easy sharing on social media or presentations.
35. Slideshow: Use the timeline elements to create a slide deck for presentations or visualization.

Advanced Options (may require integration with other tools):

36. Interactive Dashboards: Generate interactive dashboards with the timeline as a key component for data exploration. 37. Data Visualization Tools: Utilize data visualization tools like Tableau or Power BI to create more interactive timelines.
37. Animation: Consider animating elements of the timeline to add visual interest and emphasize key events.
38. Sound Effects or Narration: Incorporate sound effects or voice narration to enhance the presentation of the timeline.
39. Gamification: Explore incorporating game-like elements

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40 Formatting Options for NotebookLM Output

NotebookLM offers a wide range of formatting options to enhance the readability and presentation of your generated content. Here are 40 suggestions:

Text Formatting

1. Bold: Use double asterisks (like this) to emphasize text.
2. Italic: Use single asterisks (like this) for italicized text.
3. Code Blocks: Indent code blocks with four spaces or use triple backticks (```).
4. Headings: Use # for headings of different levels (e.g., # Heading 1, ## Heading 2).
5. Lists: Create numbered or unordered lists using numbers or asterisks (e.g., 1. Item 1, * Item 2).
6. Quotes: Use greater than signs (>) to indicate quotes.
7. Links: Use square brackets for the link text and parentheses for the URL (e.g., [Google](https://www.google.com)).
8. Images: Use exclamation marks followed by square brackets for the image description and parentheses for the URL (e.g., ! (https://example.com/cat.jpg)
   ).
9. Tables: Use pipes (|) to separate columns and hyphens (-) for the header row (e.g., | Column 1 | Column 2 |).

Styling

10. Colors: Use HTML color codes within tags (e.g., <span style="color: blue;">Blue text</span>).
11. Fonts: Specify fonts using the font-family property (e.g., <span style="font-family: Arial;">Arial text</span>).
12. Font Sizes: Adjust font sizes using the font-size property (e.g., <span style="font-size: 18px;">Larger text</span>).
13. Alignment: Align text using the text-align property (e.g., <p style="text-align: center;">Centered text</p>).
14. Background Colors: Set background colors using the background-color property (e.g., <div style="background-color: #f0f0f0;">Gray background</div>).
15. Borders: Add borders using the border property (e.g., <div style="border: 1px solid black;">Bordered div</div>).
16. Padding and Margins: Control spacing using padding and margin properties (e.g., <p style="padding: 10px; margin: 20px;">Text with padding and margin</p>).

Advanced Formatting

17. HTML Tags: Use a wide range of HTML tags for more complex formatting (e.g., <table>, <tr>, <td>, <ul>, <li>).
18. CSS Classes: Define custom styles using CSS classes and apply them to elements (e.g., <p class="my-class">Text with custom style</p>).
19. CSS Frameworks: Leverage popular CSS frameworks like Bootstrap or Materialize for pre-built styles and components.
20. Markdown Extensions: Explore Markdown extensions like GFM, CommonMark, or Pandoc for additional formatting options.

Interactive Elements

21. Hyperlinks: Create links to external websites or internal sections of the notebook.
22. Images: Insert images to enhance visual appeal and provide context.
23. Code Blocks: Execute code and display the output within the notebook.
24. Tables: Organize data into tabular format for better readability.
25. Math Equations: Render mathematical equations using LaTeX syntax.

Notebook-Specific Features

26. Cell Types: Use code cells for executing code, markdown cells for formatted text, and raw cells for unformatted content.
27. Cell Metadata: Customize cell behavior and appearance using metadata (e.g., cell execution timeout, cell visibility).
28. Kernels: Select different kernels (e.g., Python, R, Julia) for executing code in different languages.
29. Extensions: Install extensions to add new features and functionality to the notebook.
30. Export Formats: Export the notebook to various formats like HTML, PDF, or Jupyter Notebook.

Additional Tips

31. Consistency: Use consistent formatting throughout your notebook for better readability.
32. Clarity: Choose formatting that enhances clarity and understanding.
33. Accessibility: Consider accessibility guidelines when formatting content (e.g., using appropriate headings, providing alternative text for images).
34. Customization: Experiment with different formatting options to find the style that best suits your needs.
35. Documentation: Refer to the NotebookLM documentation for specific formatting syntax and examples.
36. Online Resources: Explore online tutorials and resources for more advanced formatting techniques.
37. Practice: Practice using different formatting options to become proficient in applying them effectively.
38. Feedback: Seek feedback from others to improve your formatting choices.
39. Iteration: Be willing to iterate on your formatting as your content evolves.
40. Enjoyment: Have fun experimenting with different formatting styles and creating visually appealing notebooks.

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Prompt Generator: A Tool for Creative Inspiration

A prompt generator is a tool that provides you with a starting point for creative writing, brainstorming, or other imaginative activities. It can help spark new ideas, break writer's block, or simply provide a fun challenge.

How Does a Prompt Generator Work?

1. Input: You provide the prompt generator with a specific topic, genre, or theme.
2. Processing: The generator uses algorithms or databases to generate a unique and relevant prompt.
3. Output: You receive a creative prompt that can be used as a starting point for your work.

Types of Prompts

Prompt generators can generate a variety of prompts, including:

• Story prompts: These can include plot ideas, character descriptions, or setting suggestions.
• Character prompts: These can provide details about a character's appearance, personality, or backstory.
• Worldbuilding prompts: These can help you create new worlds, societies, or technologies.
• Writing exercises: These can be specific writing challenges or prompts designed to improve your writing skills.

Using a Prompt Generator

Here are some tips for using a prompt generator effectively:

• Be specific: The more specific your input, the more relevant the prompts will be.
• Experiment: Try different topics, genres, or themes to see what sparks your imagination.
• Combine prompts: You can combine multiple prompts to create even more unique and interesting ideas.
• Don't be afraid to modify: Feel free to modify or adapt the prompts to fit your specific needs.

Would you like me to generate a prompt for you? Please let me know if you have any specific preferences or requirements.

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Example Prompts for NotebookLM Output

NotebookLM is a powerful tool that can help you summarize, analyze, and understand complex information. Here are some example prompts to get you started:

Summarization and Analysis

• Summarize the key points of this article.
• What are the main arguments in this research paper?
• Compare and contrast the two perspectives presented in these documents.
• Analyze the strengths and weaknesses of this argument.

Creative Writing

• Write a poem based on the themes in this text.
• Create a short story inspired by the characters in this novel.
• Write a script for a play that adapts the events in this historical document.

Question Answering

• What is the significance of the [event/person/concept] mentioned in this text?
• How does [topic] relate to the overall argument of this paper?
• Can you provide evidence to support the claim that [statement] is true?

Knowledge Synthesis

• Combine the information from these sources to create a comprehensive overview of [topic].
• Identify the gaps in our understanding of [subject] based on these documents.
• Suggest potential areas for future research based on the findings in these studies.

Other Prompts

• Create a study guide based on this textbook.
• Write a briefing paper summarizing the key findings of this report.
• Generate a list of discussion questions based on this article.

Remember, the more specific and detailed your prompt, the better the output will be. Experiment with different prompts to see what NotebookLM can do for you.

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Example Prompts for Data Analysis with NotebookLM

NotebookLM is a powerful tool for analyzing data and extracting insights. Here are some example prompts to get you started:

Data Exploration and Summary

• "Analyze this dataset and provide a summary of key findings."
• "Identify the most important variables in this dataset and explain their relationships."
• "Visualize the distribution of the target variable and discuss any patterns."
• "Calculate summary statistics (mean, median, mode, standard deviation) for the numerical variables."

Data Cleaning and Preparation

• "Detect and handle missing values in the dataset."
• "Identify and correct outliers in the data."
• "Convert data types to appropriate formats (e.g., categorical to numerical)."
• "Create new features or transformations based on existing variables."

Machine Learning and Modeling

• "Build a regression model to predict the target variable."
• "Train a classification model to classify data into categories."
• "Evaluate the performance of the model using appropriate metrics."
• "Tune the hyperparameters of the model to improve its accuracy."

Hypothesis Testing and Inference

• "Test the hypothesis that there is a significant difference between two groups."
• "Calculate correlation coefficients between variables to measure their relationships."
• "Perform statistical tests to determine the significance of findings."

Specific Use Cases

• "Analyze customer churn data to identify factors contributing to customer attrition."
• "Predict sales revenue based on historical data and market trends."
• "Analyze social media sentiment to gauge public opinion on a particular topic."
• "Forecast future stock prices using time series analysis."

Remember to provide NotebookLM with the necessary data and context for your analysis. The more specific and detailed your prompt, the better the results you'll obtain.

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20 Sample Graphs for Gemini

General Data Visualization

1. Line Chart: Showing trends over time (e.g., stock prices, temperature).
2. Bar Chart: Comparing categories (e.g., sales by product, population by country).
3. Pie Chart: Representing proportions of a whole (e.g., market share, age distribution).
4. Scatter Plot: Showing relationships between two variables (e.g., income vs. education, height vs. weight).
5. Histogram: Displaying the distribution of a single variable (e.g., frequency of test scores).

Statistical Analysis

6. Box Plot: Summarizing data distribution, including quartiles, median, and outliers.
7. Q-Q Plot: Comparing the distribution of a dataset to a theoretical distribution.
8. Density Plot: Estimating the probability density function of a continuous variable.
9. Survival Curve: Visualizing the probability of an event (e.g., survival) over time.
10. Correlation Matrix: Showing the relationships between multiple variables.

Geographical Data

11. Choropleth Map: Coloring regions based on a quantitative variable (e.g., population density, crime rates).
12. Dot Map: Representing individual points (e.g., locations of accidents, customer addresses).
13. Heat Map: Showing intensity of a variable across a geographic area (e.g., temperature, rainfall).
14. 3D Map: Visualizing data in a three-dimensional space (e.g., terrain, elevation).

Time Series Analysis

15. Time Series Plot: Displaying a variable over time (e.g., stock prices, sales data).
16. Seasonal Decomposition Plot: Breaking down a time series into trend, seasonal, and residual components.
17. Autocorrelation Plot: Measuring the correlation between a time series and lagged versions of itself.
18. Cross-Correlation Plot: Measuring the correlation between two time series.

Network Analysis

19. Network Diagram: Visualizing relationships between entities (e.g., social networks, supply chains).
20. Force-Directed Graph: Arranging nodes based on their connections to create a visually appealing layout.

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 Prompt:

Create a Python script that:

    Reads a CSV file containing sales data.
    Calculates the total sales for each product and the overall total sales.
    Sorts the products by total sales in descending order.
    Prints the top 5 products by total sales.

Prompt:

Build a JavaScript function that:

    Takes a string as input.
    Reverses the order of words in the string while preserving punctuation.
    Returns the reversed string.

Prompt:

Write a SQL query that:

    Selects customers who have placed orders in the past 30 days.
    Groups the results by customer ID and calculates the total amount spent.
    Orders the results by total amount spent in descending order.

Prompt:

Create a Python program that:

    Downloads web pages from a list of URLs.
    Extracts the text content from each web page.
    Counts the frequency of occurrence of specific keywords.
    Prints the keyword frequencies.

Prompt:

Develop a machine learning model using Python that:

    Predicts house prices based on features like square footage, number of bedrooms, and location.
    Trains the model on a dataset of housing prices.
    Evaluates the model's performance using appropriate metrics.