Discover 31+ Data Analysis prompts for AI assistants. Copy and use instantly with ChatGPT, Claude, Gemini, and more.
As a data analyst for a leading climate change research institution, develop a comprehensive report on the impact of ocean acidification on marine ecosystems, including 3D visualizations of coral reefs and underwater landscapes, with a focus on identifying ar…
Create an expert-level AI model to predict stock prices using historical financial data, including technical indicators, sentiment analysis, and machine learning algorithms, and present the results in a clear, actionable format for investors and financial ana…
Develop a digital twin of a manufacturing facility to optimize production workflows, supply chain management, and resource allocation, with real-time monitoring, predictive analytics, and recommendations for process improvements, written in a style suitable f…
Craft a narrative-driven data story on the intersection of technology and social inequality, using a mix of visualizations, interviews, and storytelling techniques to illustrate the complex relationships between digital access, economic opportunity, and socie…
🧠 There are some interesting subtle things going on in that example, beyond just command generation. When we ask it to add a memo to the “shake shack” expense, the model knows that the command `add-memo` takes an expense ID. But we never tell it the expense …
Your response will be in JSON and will include a "Thought" + "Action" to retrieve data that you need in order to answer the question, or it will include the "Answer". When data has been retrieved, it will be included as an "Observation".
You are a data scientist. When I provide you with a dataset description or data, you will: 1) Identify the type of analysis appropriate (regression, classification, clustering, etc.), 2) Suggest data preprocessing steps needed, 3) Recommend appropriate algori…
Design an interactive dashboard for a real-world dataset on energy consumption patterns among households, incorporating customizable filters, drill-down capabilities, and visualization options to facilitate data exploration and analysis, presented in a modern…
Create a virtual reality experience where the user takes on the role of a data analyst tasked with identifying anomalies in a large dataset, with a futuristic, high-tech office environment and a variety of interactive visualizations and tools at their disposa…
Create a 360-degree video showcasing a data analyst working on a high-stakes project, with multiple screens displaying data visualizations and code snippets in a futuristic, neon-lit office, with a focus on the analyst's hands as they interact with the screen…
The model is instructed to return a thought and an action that it would like to perform. Another agent (e.g. our client) then performs the action and returns it to the model as an observation. The model will then loop to return more thoughts and actions until…
| Model | Key Detail | |:------|:-----------| | OpenAI o3 / o3-pro | 87.7% GPQA Diamond. Native tool use. | | OpenAI o4-mini | Best AIME at its cost class with visual reasoning. | | DeepSeek-R1 / R1-0528 | Open-weight, RL-trained. 87.5% on AIME 2025. MIT lice…
[v1.4.334](https://github.com/danielmiessler/fabric/releases/tag/v1.4.334) (Nov 26, 2025) — **Claude Opus 4.5**: Updates the Anthropic SDK to the latest and adds the new [Claude Opus 4.5](https://www.anthropic.com/news/claude-opus-4-5) to the available models.
[v1.4.291](https://github.com/danielmiessler/fabric/releases/tag/v1.4.291) (Aug 18, 2025) — **Speech To Text**: Add OpenAI speech-to-text support with `--transcribe-file`, `--transcribe-model`, and `--split-media-file` flags.
Craft a data-driven narrative about the rise of e-commerce in rural America, infused with the nostalgic warmth of a small-town radio broadcast from the 1940s.
Develop a futuristic soundscape depicting the neural networks processing vast amounts of financial transaction data, characterized by an otherworldly electronic ambiance and an air of mystery.
What are the top 10 most influential papers in machine learning published within the last two years, with a minimum of 500 citations each?
Unpack the emotional resonance of a stock market crash through the lens of personal finance diaries, adopting a lyrical, confessional tone akin to literary memoirs from 19th-century Europe.
analyze sentiment analysis on a given text input using natural language processing (NLP) techniques output sentiment scores and corresponding labels as a dictionary
Provide a Python function to calculate mean and median of a list of numbers, then output the results as a JSON object with maximum length 200 characters.
find all unique combinations of 3 elements from an array of integers within the range [1-10] output list of tuples
Provide a heat map visualizing the correlation between monthly temperature and global COVID-19 case numbers from January 2020 to June 2022 using publicly available data from the WHO.
python data analysis predict customer churn classification model output probability scores
Data analysis report with a futuristic cityscape at dusk, neon lights reflecting off wet pavement, style: minimalist, lighting: moody softbox, composition: symmetrical, aspect ratio: 4:3, color palette: blues and purples, mood: contemplative, quality tags: de…
Scientific graph visualization with a background of swirling galaxies, style: steampunk, lighting: warm golden glow, composition: dynamic, aspect ratio: 16:9, color palette: rich browns and coppers, mood: adventurous, quality tags: intricate details, textured…
Cryptocurrency market trend analysis with a minimalist office space, style: sleek modern, lighting: cool overhead, composition: asymmetrical, aspect ratio: 1:1, color palette: dark grays and blues, mood: professional, quality tags: clean lines, metallic accen…
Write a Java program that finds peak elements in an array and outputs the top k elements where k is input by user, and output format should be a comma-separated list of numbers.
| Model | Context | Price (Input/Output per 1M tokens) | Key Feature | |:------|:--------|:-----------------------------------|:------------| | GPT-5.2 / 5.2 Thinking | 400K | $1.75 / $14 | Latest flagship, 90% cached discount, configurable reasoning | | GPT-…
Notably, sometimes user queries are so short that the embedding isn’t particularly valuable. There is a clever technique described in [a paper published in December 2022](https://arxiv.org/pdf/2212.10496.pdf) called a “Hypothetical Document Embedding” or HyDE…
Edit this clinical report to be more concise. The patient was seen today in the office for a physical and medical evaluation. The patient was complaining of pain in their legs, and had signs of weakness in the legs.
Given a set of instructions, construct a flow chart to visualize the process. 1. Load the dataset. 2. Split the dataset into training and validation set. 3. Pre-process the data. 4. Feed the data into a deep learning model. 5. Train the model on the training…