These guides walk through the product as it ships today. Each section has its own page. Follow them in order the first time, or jump to the step you need.
ScreenshotDashboard Home after sign-inFull shell: sidebar + Home upload dropzone
The five-step workspace
Every project follows the same pipeline. After you upload a file on Home, Olambus opens the project and you move through:
- Import — your dataset is already attached from Home (re-upload inside a project is not the primary path).
- Clean — fix nulls, duplicates, columns, and dates; review the audit trail.
- Analyze — run SQL, Python, or R against the cleaned table.
- Visualize — build charts from results or the dataset.
- Export — generate a report, then Print / Save as PDF.
ScreenshotProject workspace with pipeline stepsTop stepper: Import · Clean · Analyze · Visualize · Export
Guides
- AccountsSign up, sign in, and leave the workspace
- Home & uploadStart a project by dropping in a dataset
- ProjectsFind, star, rename, bin, and restore projects
- CleanFix and shape your table before analysis
- AnalyzeRun SQL, Python, or R against your data
- VisualizeBuild charts from query results or the dataset
- ExportGenerate a report and print or save as PDF
- SharingInvite collaborators and manage access
- Settings & creditsProfile, appearance, notifications, and credits
- ShortcutsKeyboard shortcuts that speed up the workspace
What you need
- An account — see Accounts.
- A tabular file: CSV, TSV, XLSX, JSON, or Parquet (up to 5 GB per file on upload).
- A modern browser. Use ⌘/Ctrl+K for search once you are signed in.
Tip: New projects are created when you upload on Home — there is no separate “empty project” flow in the sidebar today.