Workshop & Stations
TeachFORGE.ai
Workshop / Data
Data Station
Import CSV or JSON, profile columns, transform pipelines, fit curves, and plan survey sample sizes — then take cleaned insight to the board, into charts, or into statistics.
AI can draft. You decide what the class sees.
What Data is
Data is the Station for bringing real tables into the lesson. Import CSV, TSV, or JSON, profile columns, run transformation pipelines, fit curves, and plan survey sample sizes — then export cleaned results you can teach with.
That matters because authentic numbers beat invented worksheets. Learners should see cleaning, profiling, and fitting as part of the story — not a mystery that happened somewhere else.
Why teachers use Data
Import and clean
Paste, upload, or fetch a class dataset and make types and outliers visible.
Curve fits for labs
Linear, polynomial, exponential, logarithmic, and power fits with residuals you can discuss.
EDA that shows structure
Scatter, correlation, and box views that prepare the deeper statistics conversation.
Survey sample size
Plan minimum n from margin of error, confidence, and proportion — before the survey goes out.
On TeachForge, Data is a Workshop Station — wrangle here, then bridge into Statistics or Chart Builder when the next teaching move needs them.
Inside the Data Station
Like the rest of the Workshop, Data keeps authoring and preview close together — organised as a clear workbench.
- Tabs for Dataset, Profile, Pipeline, Curve Fitting, and Survey Tools
- Ingest paths — paste, upload, fetch URL, and schema-aware type casting
- Transformation pipelines with cleaned CSV export and outlier / unit helpers
- Fitting models including a manual “guess the line” teaching mode
- Parametric packages for fitting and survey sample-size starts
- Export and bridges toward Statistics and Chart Builder, plus Whiteboard send
How a table becomes insight
Load or paste a dataset and confirm column types
Start from real class data or a teaching seed.
Profile, clean, fit, or plan a survey
Choose the tab that matches the teaching move.
Export results or bridge onward
Take cleaned data into charts, statistics, questions, or the board.
One dataset. Every teaching version of it.
Data supports parametric packages for fitting and survey tools, plus saved dataset and pipeline JSON — so the same cleaning story or fit model can reopen for the next class without rebuilding the workflow.
Change it while you teach
Swap a model, tweak a pipeline step, or adjust survey parameters live.
Keep the pipeline, vary the table
Reuse the same cleaning and fit structure on tomorrow’s dataset.
Hand off cleanly
Bridge into Statistics or Chart Builder instead of redoing work in a new tool.
Stay close to assessment
Export results into questions, labs, and explanations that use the real numbers.
Inference tests and distribution simulations live in Statistics. Data owns wrangle, profile, clean, fit, and survey planning.
Ready-made starts to open
Open a catalogue package or seed template, then bring your own table:
| Area | What you can open |
|---|---|
| Fitting catalogue | Linear; Polynomial; Exponential; Logarithmic; Power |
| Survey catalogue | Sample size calculator |
| Seed templates | Dataset Profile; Cleaning Pipeline; Linear Fit; Exponential Growth; Sample Size Calculator |
AI help, your way
Need a first draft? Use AI as an assistant — then review, edit, and approve before anything reaches learners.
Copy the prompt
Generate a ready-made prompt and paste it into the chat tool you already use.
Use your own GPU
Connect a local model endpoint in your settings and run generation on hardware you control.
Use your own API key
Add your provider key in settings, choose the model, and generate with your own account.
AI can be wrong. That is exactly why a teacher stays in the loop.
Take the analysis where teaching happens
- Whiteboard — put it on the live board and adjust it in front of the class
- Quest Ladder — drop it into questions and explanations
- Virtual Lab — reuse it inside interactive lab work
- Community — share what you built, and build on what other educators shared