To provide the most useful list, I have categorized these prompts. These are designed to be used with Generative AI tools (like ChatGPT with Advanced Data Analysis, Claude, or GitHub Copilot) to generate code (Python/R), or Text-to-Image tools (like Midjourney or DALL-E) to generate infographic concepts.
Here are 100 command prompts for creating data visualizations, organized by visualization type and purpose.
I. Basic Comparisons & Trends (1-10)
Best for: Sales data, survey results, and simple time-series.
"Create a grouped bar chart comparing Q1 vs. Q2 revenue across 5 different product categories."
"Generate a line chart showing the trend of website traffic over the last 30 days, highlighting weekends."
"Write Python code using Matplotlib to plot a dual-axis chart: one axis for Sales ($) and the other for Profit Margin (%)."
"Create a stacked column chart to visualize the breakdown of total expenses by department for the last fiscal year."
"Generate a pie chart showing market share distribution, but explode the largest slice for emphasis."
"Plot a horizontal bar chart ranking the top 10 countries by GDP, ordered from highest to lowest."
"Create an area chart showing the cumulative growth of subscribers over 5 years."
"Visualize the survey results (Yes/No/Maybe) using a 100% stacked bar chart."
"Create a lollipop chart instead of a bar chart to highlight the variation between target vs. actual sales."
"Generate a slope graph to show the change in employee satisfaction scores between 2022 and 2023."
II. Distributions & Statistics (11-20)
Best for: Data science, research, and understanding data spread.
"Create a histogram with 20 bins to visualize the distribution of customer ages in the dataset."
"Generate a box plot (box-and-whisker) to compare the salary distribution across 4 different job titles."
"Create a scatter plot showing the relationship between advertising spend (X-axis) and sales revenue (Y-axis)."
"Add a regression line and confidence interval to the previous scatter plot."
"Generate a violin plot to visualize the density of test scores across three different schools."
"Create a density plot (KDE) comparing the distribution of weights between two distinct groups."
"Visualize the frequency of outliers in the dataset using a strip plot."
"Create a Q-Q plot to check if the provided dataset follows a normal distribution."
"Generate a pair plot (scatterplot matrix) to visualize relationships between all numerical variables in the dataset."
"Create a marginal histogram attached to a scatter plot to show the univariate distribution of x and y."
III. Part-to-Whole & Hierarchy (21-30)
Best for: Budgets, file directories, and organizational structures.
"Create a Treemap to visualize the budget allocation across different sectors."
"Generate a Sunburst chart to show the hierarchy of product categories and sub-categories."
"Create a Donut chart with a label in the center displaying the total value."
"Visualize the organizational structure of a company using a Dendrogram."
"Create a Mosaic plot to visualize the relationship between two categorical variables."
"Generate a Circle packing diagram to represent population sizes of different countries within continents."
"Create a Waterfall chart to visualize how net profit is derived from gross revenue, deducting various costs."
"Visualize the disk usage of a computer system using a nested pie chart."
"Create a Marimekko chart to visualize market segments across different competitors."
"Generate a Voronoi diagram based on a set of random seed points."
IV. Flows, Connections & Networks (31-40)
Best for: Logistics, social networks, and process mapping.
"Create a Sankey diagram to visualize the flow of energy from source to end-use."
"Generate a Chord diagram to show the migration flow between 5 major cities."
"Visualize a social network using a Node-link diagram, sizing nodes by influence."
"Create a Funnel chart to visualize the conversion rate of a website from visitor to purchaser."
"Generate a stream graph to show the evolution of music genre popularity over decades."
"Create a directed graph to visualize dependencies between software modules."
"Visualize the 'Customer Journey' using a parallel sets diagram."
"Create an Arc diagram to show connections between characters in a book."
"Generate a force-directed graph where related nodes attract and unrelated nodes repel."
"Create a Gantt chart to visualize the project timeline, dependencies, and critical path."
V. Geospatial & Maps (41-50)
Best for: Demographics, logistics, and regional sales.
"Create a Choropleth map of the United States colored by population density."
"Generate a Bubble map plotting store locations, with bubble size representing annual revenue."
"Create a connection map showing flight paths between major international airports."
"Visualize earthquake data using a Hexbin map to show density of events."
"Create a Heatmap overlaid on a geographic map to show crime concentration."
"Generate an interactive Folium map in Python with markers for tourist attractions."
"Create a Cartogram where country size is distorted by its GDP."
"Visualize topographic data using a Contour map."
"Create a Dot distribution map to show the spread of a specific species."
"Generate a 3D globe visualization highlighting trade routes."
VI. Financial & Stock Market (51-60)
Best for: Trading, KPIs, and banking.
"Create a Candlestick chart for Apple stock (AAPL) over the last 3 months."
"Add Bollinger Bands and Moving Averages to the stock price chart."
"Generate a Waterfall chart to analyze the monthly cash flow statement."
"Create a Bullet chart to compare current year performance against a target."
"Visualize portfolio asset allocation using a Waffle chart."
"Create a Gauge chart (speedometer style) to visualize the Net Promoter Score (NPS)."
"Generate an OHLC chart (Open-High-Low-Close) for a week of trading data."
"Create a Kagi chart to filter out noise and visualize significant price movements."
"Visualize cryptocurrency volatility using a Renko chart."
"Create a Funnel chart specific to a sales pipeline with drop-off rates."
VII. Advanced Scientific & Heatmaps (61-70)
Best for: Correlation matrices, weather, and biology.
"Create a Heatmap to visualize the correlation matrix of 10 different variables."
"Generate a Radar chart (Spider chart) to compare the skills of three different athletes."
"Create a 3D Surface plot to visualize a mathematical function $z = f(x, y)$."
"Visualize wind speed and direction using a Wind rose diagram."
"Create a Ternary plot to visualize the composition of soil (Sand, Silt, Clay)."
"Generate a Phase plot for a dynamical system."
"Create a Spectrogram to visualize the frequency spectrum of a sound signal."
"Visualize molecular structure using a 3D scatter plot."
"Create a Streamline plot to visualize fluid flow velocity fields."
"Generate a Stem plot to visualize discrete signal data."
VIII. Text & Qualitative Data (71-80)
Best for: NLP, reviews, and document analysis.
"Create a Word Cloud from the provided text, removing common stop words."
"Generate a Network graph of co-occurring words in a novel."
"Visualize sentiment analysis over time using a color-coded line chart."
"Create a Phrase net to connect words linked by specific joining words (e.g., 'and', 'of')."
"Visualize topic modeling results using a pyLDAvis style interactive chart."
"Create a Timeline of key historical events mentioned in the text."
"Generate a Tree diagram to visualize the sentence structure (parse tree)."
"Visualize word frequency ranking using a Zipf's law plot."
"Create a Sentiment Arc showing the emotional trajectory of a story."
"Generate a Matrix chart showing the presence/absence of keywords across documents."
IX. Stylized & Infographic Concepts (81-90)
Best for: Midjourney, DALL-E, or presentation inspiration.
"A futuristic infographic about renewable energy, neon colors, dark background, isometric style."
"A minimalist data visualization of coffee consumption, Bauhaus style, flat design, pastel colors."
"A hand-drawn style chart showing the lifecycle of a butterfly, sketchbook aesthetic."
"A 3D glassmorphism pie chart floating in space, high gloss, soft lighting."
"A vintage map visualization of trade routes, parchment texture, sepia tones."
"A cyberpunk dashboard displaying server load, glitched text, holographic elements."
"A paper-cut style bar chart, showing layers of depth and shadows."
"An abstract data art piece representing internet traffic, flowing particles, generative art style."
"A LEGO-style block chart representing population growth."
"A botanical illustration style chart where data points are represented by flowers and leaves."
X. Library-Specific Commands (91-100)
Best for: Asking specifically for Python/JS libraries.
"Seaborn: Write code to create a faceted scatter plot with a regression line."
"Plotly: Create an interactive 3D scatter plot that supports zooming and rotating."
"Matplotlib: Create a subplot grid (2x2) with four different chart types sharing the same data."
"D3.js: Generate the boilerplate code for a force-directed graph."
"Tableau: Explain how to create a calculated field for a moving average."
"Power BI: Write the DAX formula to calculate Year-over-Year growth."
"Altair: Create a declarative visualization linking a brush selection on a scatter plot to a bar chart."
"Bokeh: Create a dashboard with linked panning between two plots."
"Ggplot2 (R): Write code to create a density plot with semi-transparent fill."
"Highcharts: Generate the JSON configuration for a drill-down column chart."
How to get the best results
To make these prompts work effectively, append your specific data context. For example, instead of just using prompt #1, say:
"Create a grouped bar chart comparing Q1 vs Q2 revenue across 5 different product categories using the attached CSV file containing sales data for Electronics, Clothing, and Home Goods."
Would you like me to generate the actual Python code for any of these specific prompts right now?
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To provide the most useful list, I have categorized these prompts by the type of visualization you are trying to create. These prompts can be used in various tools ranging from Generative AI (Midjourney, DALL-E, Ideogram) to data visualization software (Tableau, Python) and design tools (Canva, Adobe).
Category 1: Word Clouds & Frequency Visualizations
Best for: Summarizing documents, speeches, or customer feedback.
Create a word cloud from the attached text file, excluding common stop words (and, the, is).
Generate a word cloud shaped like a lightbulb using terms related to "Innovation."
Visualize the most frequent words in Shakespeare’s Hamlet, using a black and white color palette.
Create a tag cloud where font size represents the keyword search volume.
Generate a word cloud inside the silhouette of a cat using only verbs.
Create a dense text block where words are colored by sentiment (Red for negative, Green for positive).
Visualize the top 50 hashtags used in this dataset as a spherical word globe.
Create a word cloud using a retro 1980s neon color scheme and pixelated font.
Generate a word collage of the word "Love" translated into 50 different languages.
Arrange the lyrics of this song to form the shape of a musical note.
Create a negative space word cloud where the words surround a blank star shape.
Visualize the frequency of ingredients in these 100 recipes as a cloud.
Generate a word cloud using a serif font that mimics a vintage newspaper print.
Create a comparison cloud showing unique words in Document A vs. Document B.
Render a word cloud where the words are arranged in concentric circles.
Category 2: AI Typography & Text Effects (Generative Art)
Best for: Logos, posters, and artistic rendering. (Ideal for tools like Midjourney or Ideogram).
The word "JUNGLE" written in letters made of tangled vines and tropical leaves.
The letter "A" rendered as a futuristic isometric building with glass windows.
The word "SPEED" with motion blur lines and fire trails.
The text "ICE COLD" carved out of a solid block of glacial ice, hyper-realistic.
The word "CANDY" written in dripping, glossy melted chocolate and sprinkles.
Large 3D typography of the number "2025" floating in outer space.
The word "CYBER" in glowing neon tubes against a dark rainy street background.
The text "ORGANIC" formed by arranging pebbles and river stones on sand.
A steampunk-style letter "S" made of brass gears, pipes, and steam.
The word "SOFT" rendered in pink fluffy cloud texture.
Graffiti-style lettering of the word "REBEL" on a brick wall, vibrant colors.
The word "GOLD" dripping with liquid metal, reflective studio lighting.
Typography design of "ZEN" using brush strokes resembling traditional sumi-e ink.
The word "ELECTRIC" formed by lightning bolts striking the ground.
Paper cut-out art style of the word "STORY" with layered shadows.
Category 3: Concept Maps, Flowcharts & Logic
Best for: Explaining processes, hierarchies, and relationships.
Generate a hierarchical mind map explaining the branches of biology.
Create a flowchart showing the user journey for a signup process.
Visualize a decision tree for troubleshooting a slow computer.
Create a radial map with "Climate Change" in the center and effects branching out.
Generate a "family tree" style visualization of Greek Mythology gods.
Create a Venn diagram comparing "UX Design" and "UI Design" with text descriptors.
Visualize the organizational chart of a tech startup with 4 distinct departments.
Create a circular flow chart showing the water cycle.
Generate a concept map linking the characters in this novel (input names).
Visualize a "swimlane" diagram for a project approval workflow.
Create a bubble map showing the relationship between diet, sleep, and energy levels.
Generate a timeline flowchart of the evolution of the internet.
Create a spider diagram analyzing the strengths and weaknesses of a product.
Visualize a logic gate circuit using text labels for inputs and outputs.
Create a sitemap visualization for an e-commerce website structure.
Category 4: Data-Driven Text (Infographics)
Best for: Making statistics readable.
Create a vertical timeline of the 20th Century using only typography.
Visualize the population of these 10 cities using text size relative to population.
Generate a "big number" dashboard highlight for "95% Customer Satisfaction."
Create a periodic table layout but replacing elements with "Marketing Terms."
Visualize a bar chart where the bars are made of repeated text strings describing the data.
Create a typographic infographic explaining the benefits of drinking water.
Generate a "vs" comparison list layout for iPhone vs. Android features.
Visualize a recipe as a Gantt chart of instructions over time.
Create a typographic map of the world where country names form the shape of the countries.
Generate a donut chart where the segments are text paths.
Create a staircase text visualization showing steps to financial freedom.
Visualize the breakdown of a budget using a treemap with text labels.
Create a "funnel" visualization for sales conversion using descriptive text.
Generate a scatter plot where the points are replaced by company names.
Create a calendar heatmap using text intensity instead of colors.
Category 5: Semantic & Network Analysis
Best for: NLP researchers and complex data relationships.
Visualize the semantic similarity between these 20 documents as a network graph.
Create a co-occurrence network of keywords found in this research paper.
Generate a cluster map of customer reviews grouped by topic.
Visualize the syntax tree of the sentence: "The quick brown fox jumps over the lazy dog."
Create a chord diagram showing migration of people between countries (using text labels).
Generate a force-directed graph of social media interactions.
Visualize a knowledge graph connecting "Steve Jobs," "Apple," and "Pixar."
Create a distinct word stream visualization showing topic changes over time.
Visualize text density of a webpage (heatmap overlay on text).
Generate a sankey diagram showing the flow of money in a budget (using text labels).
Category 6: Retro, ASCII & Code Art
Best for: Developer documentation, terminal interfaces, and retro aesthetics.
Convert this image into high-resolution ASCII art.
Generate the text "SYSTEM FAILURE" in 'Glitch' style art.
Create a banner for a README file using ANSI shadow font.
Visualize a matrix code rain effect using the words "Wake Up."
Create a retro terminal boot sequence screen listing system checks.
Generate a "slanted" ASCII text signature for an email footer.
Create a pixel-art style text bubble for a video game RPG.
Visualize a directory tree structure for a React application.
Create a block-style text header for a command-line interface tool.
Generate a typewriter-style text visualization with ink smudges.
Category 7: Kinetic & Animated Text (For Video/GIF)
Best for: Social media, intros, and presentations.
Animate the word "BOUNCE" squashing and stretching on impact.
Create a typewriter animation revealing the quote letter by letter.
Animate the text "EXPLODE" shattering into particles.
Make the words "Deep Breath" slowly expand and contract.
Create a scrolling marquee text visualization of breaking news.
Animate text floating underwater with wave distortion effects.
Create a "Star Wars" opening crawl text visualization.
Animate the word "Loading" filling up with color like a progress bar.
Create a rotating 3D text ring.
Visualize lyrics syncing perfectly with the audio waveform.
Category 8: Abstract & Experimental
Best for: Creative inspiration and unique layouts.
Arrange this paragraph of text into a fibonacci spiral.
Create a text visualization where words fade into a fog gradient.
Visualize the text as a barcode where line thickness corresponds to word length.
Create a "blackout poetry" visualization from this news article.
Generate a kaleidoscope pattern using only the letter "X."
Visualize a soundwave using the spoken words to form the wave shape.
Create a maze where the walls are made of tiny text.
Generate a topographic map where the elevation lines are lines of text.
Create a "word portrait" where a face is rendered entirely of typography.
Visualize a DNA double helix using the letters A, C, G, and T.
How to use these effectively
For AI Art Generators (Midjourney/DALL-E): Focus on Categories 2 and 8. Add stylistic descriptors like "photorealistic," "vector art," or "minimalist."
For Python/R (Matplotlib/Plotly): Focus on Categories 1, 5, and 6. You will need to convert these natural language prompts into code logic.
For Design Tools (Canva/Adobe): Focus on Categories 3 and 4. These are often manual design prompts to guide your layout.
Would you like me to write a Python script to execute one of these specific prompts (like generating a Word Cloud or ASCII art)?
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