Go From Raw Data to Dashboard

Explore data conversationally, script the transforms, and publish findings people can act on.

This workflow takes raw data and delivers a polished, interactive dashboard that stakeholders can actually use. You start by exploring your data with ChatGPT—asking questions, spotting patterns, and deciding what to clean. Then Gemini picks up that context, adds multimodal analysis (like interpreting charts or tables from images), and suggests transformation logic. Cursor turns those suggestions into runnable Python scripts, automating the cleaning, aggregation, and visualization. Finally, Notion AI documents everything: the steps you took, key findings, and a link to the live dashboard. The combination works because each tool plays to its strength—ChatGPT for free‑form exploration, Gemini for cross‑modal reasoning, Cursor for code generation, and Notion AI for persistent, collaborative documentation. This is for analysts, data scientists, or anyone who needs to go from raw CSV to a decision‑ready dashboard without switching context or writing everything from scratch.

The workflow, step by step

1
Explore data conversationally
ChatGPT
Upload your raw CSV or paste data samples. Ask ChatGPT to summarize columns, identify missing values, and suggest first transformations. Its conversational interface lets you iterate quickly, and it can output code or markdown tables that feed into later steps.
Hand-off → A cleaned data summary and a list of desired transformations (e.g., 'fill missing dates', 'aggregate sales by region').
2
Refine analysis with multimodal eye
Gemini
If you have screenshots of existing charts or handwritten notes, Gemini can interpret them and cross‑check with your data. It also excels at generating more nuanced transformation logic, especially when dealing with ambiguous column names or mixed data types. Use it to verify and extend the plan from ChatGPT.
Hand-off → A set of concrete transformation steps (e.g., Python pseudocode) and any tricky edge cases to handle.
3
Script transforms and build dashboard
Cursor
Cursor is purpose‑built for coding. It can take the transformation plan and generate complete Python scripts using pandas, plotly, and streamlit. You can run, debug, and iterate right in the editor. It automates the heavy lifting: data cleaning, aggregation, and creating an interactive dashboard from scratch.
4
Document and share findings
Notion AI
Notion AI pulls together your workflow notes, code snippets, and key visuals into a living document. It can summarize the process, highlight insights, and embed a link to your dashboard. This step ensures your work is reproducible and easily shared with the team.
You end with: At the end you have a Notion page with a complete audit trail: raw data source, transformation steps, code, and a link to the live dashboard.

What this stack costs per month

Running on free tiers$0every tool here has a permanently free plan

All entry paid plans$20/mosum of 1 published starting prices, one seat each, plus 3 tools without published pricing

ChatGPTfreemium, pricing not published
Geminifreemium, pricing not published
Cursorfrom $20/mo · free tier
Notion AIfreemium, pricing not published

Computed from each vendor's published monthly prices as we last verified them — tap a tool for its full pricing breakdown and price history.

All tools in this stack

ChatGPT

freemium

General-purpose AI assistant for writing, research, coding, images, voice, agent...

Rating

4.6

Category

通用助手与模型平台

Pricing

ChatGPT uses a freemium plan ladder. Individual plans include Free, Go, Plus, and Pro. Official pricing pages list Free at $0, Go at $8/month, Plus at $20/month, and Pro from $100/month. OpenAI Help says Pro has two usage tiers: the $100 Pro tier has lower allowances than the $200 Pro tier. Business is a self-serve team workspace with standard ChatGPT seats at $25/user/month when billed monthly or $20/user/month when billed annually, with a 2-seat minimum. Enterprise and Edu are managed organization plans with sales-led pricing and optional flexible credit pricing for products such as Codex, ChatGPT for Excel/Sheets, ChatGPT for PowerPoint, and Workspace Agents. ChatGPT for Teachers is free through June 2027 for verified U.S. K-12 educators.

Gemini

freemium

Google’s multimodal AI assistant for search-grounded help, Workspace productivit...

Rating

4.4

Category

通用助手与模型平台

Pricing

Gemini is available as a free consumer AI assistant, as part of paid Google AI personal subscriptions, inside eligible Google Workspace plans, and through education or business add-ons. The public United States personal subscription ladder is Free, Google AI Plus at $4.99/month, Google AI Pro at $19.99/month, Google AI Ultra 5x at $99.99/month, and Google AI Ultra 20x at $199.99/month. Google Workspace Business editions include Gemini-related capabilities and have separate per-user prices. Workspace AI Expanded Access is an add-on with local-currency/admin-console pricing rather than a single public USD sticker price. Usage is compute-based in Gemini Apps; limits depend on prompt complexity, selected model, feature, chat length, file volume, plan, country, language, age eligibility, and capacity.

Cursor

freemium

AI code editor and agentic IDE for planning, writing, reviewing, and automating ...

Rating

4.8

Category

编程开发与 DevOps

Pricing

Cursor offers a free Hobby tier, three individual paid tiers, two Teams seat types, and custom Enterprise pricing. Official pricing shows monthly and yearly billing toggles. Monthly prices are Pro $20, Pro+ $60, Ultra $200, Teams Standard $40/user, Teams Premium $120/user. Yearly billing displays lower monthly equivalents: Pro $16, Pro+ $48, Ultra $160, Teams Standard $32/user, Teams Premium $96/user. Individual plans use two usage pools: first-party models and API usage. API usage included is $20 for Pro, $70 for Pro+, and $400 for Ultra. On-demand usage can continue after included usage is consumed and is billed monthly at the same rates.

Notion AI

freemium

Workspace-native AI that writes, searches, summarizes meetings, and automates re...

Rating

4.3

Category

生产力办公与文档

Pricing

Notion AI is no longer presented as a general standalone add-on on the public pricing table. The current official help copy says Notion AI is available on Business and Enterprise plans, while Free and Plus workspaces receive a limited number of complimentary AI responses. The public pricing table shows Free at $0, Plus at $10 per seat/month, Business at $20 per seat/month, and Enterprise as contact-sales pricing. The pricing page also states that Custom Agents are free to try and then cost $10 per 1,000 monthly Notion credits. Official page payload captured during this crawl exposes monthly USD SKUs for Plus at $12 and Business at $24, and annual USD SKUs at $120 and $240 respectively. The same payload still exposes a legacy-looking `ai` add-on SKU at $10 monthly or $96 yearly, but because the visible pricing table and help center now say full Notion AI requires Business or Enterprise, that hidden SKU is not treated as a current public plan.

References behind this workflow

The specs, official docs and benchmarks this workflow leans on — read these before you commit, so every step rests on the source, not on hearsay.

Create a dashboard | Metabase Learn

Learn to how to create a dashboard and add questions and cards to it.

Officialmetabase.comverified

Building dashboards | Metabase Learn

Officialmetabase.com

Hand-reviewed primary sources — official documentation, published benchmarks, research and standards bodies only. No listicles, no affiliate links. Links last checked 2026-07-07.

Frequently asked questions

How much does the full stack cost?

ChatGPT Plus ($20/mo), Gemini Advanced ($20/mo), Cursor Pro ($20/mo), and Notion AI ($10/mo) total about $70/month. Free tiers exist for each but have limits—ChatGPT free works for exploration, Gemini free is capped, Cursor free gives limited AI usage, and Notion AI is free only for basic actions.

Can I replace any tool with a free alternative?

Yes. Replace ChatGPT with Claude free or Google Colab for code‑based exploration. Gemini can often be swapped with GPT‑4o (if you have it). Cursor can be replaced by VS Code + Copilot free tier, and Notion AI by a simple markdown file. The workflow will still work but be less integrated.

Where do I start if I have never done this before?

Start with raw data you understand (like a CSV of sales). Upload it to ChatGPT and ask 'What should I clean first?' Follow its suggestions step by step. You don't need to know Python—Cursor will write code for you. The key is to try the entire loop once with a small dataset.

What is the most common mistake in this workflow?

Skipping the exploration step and jumping straight to coding. Without knowing your data's quirks (missing values, outliers, inconsistent names) you'll write brittle scripts that break. Always spend time with ChatGPT and Gemini first to build a clear spec.