Step 1 — Data Input
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📂 Provide Your Data
Upload a data file, or paste / describe your data below.
📁 Upload File
✏️ Paste / Type
📂
Tap to upload or drag & drop
CSV · Excel · PDF · JSON · TXT — max 10 MB
Please upload a file or enter some data to continue.
⚙️ Analysis Configuration
Choose the type of analysis and how deep to go.
Analysis Type (select all that apply)
📈
Statistical
Descriptive stats, distributions, correlations, significance testing
💬
Sentiment
Tone analysis, keyword clusters, positive / negative / neutral scoring
🎨
Visual
Chart recommendations, pattern identification, visual storytelling
🔮
Predictive
Trend forecasting, scenario modelling, risk identification
📝
Summary
Executive-level distillation of key findings for decision-makers
Analysis Scope
⚡ Quick Analysis~20 sec
Fast, focused insights. Ideal for initial exploration or simple datasets.
🔬 Full Analysis~60 sec
Deep, comprehensive report with all sections. Auto-saved as a project.
Please select at least one analysis type.
🎓 Study / Research Type
Shapes the document structure, language style, and analytical depth.
🎓
Academic Paper
Formal, peer-review ready, hypothesis-driven, APA/Harvard
📚
End of Course Project
Academic but accessible, demonstrates learning outcomes
🏛️
Dissertation / Thesis
Scholarly depth, theoretical framework, critical analysis
💼
Business Report
Executive-first, ROI focused, action-oriented, C-Suite ready
🌍
NGO / Impact Report
Theory of Change, outcome vs output, equity lens
📊
Market Research
Market sizing, segmentation, competitive landscape
🧠
Personal Analysis
Clear, practical, plain language, actionable insights
Please select a study type.
🔢 Data Type
What kind of information is this? Helps select the right analytical methods.
🔢
Quantitative
Numerical — measured or counted
🏷️
Categorical
Groups or categories
⚡
Binary
Yes / No, True / False, 0 / 1
📅
Time-Series
Data recorded over time
🎛️
Mixed
Combination of multiple data types in the same dataset
Quantitative Sub-Type
Discrete
Whole numbers (customers, events)
Continuous
Measured values (revenue, temp)
Categorical Sub-Type
Nominal
Unordered (gender, region)
Ordinal
Ordered (ratings 1–5)
Please select a data type.
📋 Data Form
How is your data arranged or structured?
📋
Tabular
Rows & columns — spreadsheets, CSVs, database tables
📈
Time-Series
Records ordered by date or time
📜
Text / Unstructured
Free-form text, articles, survey responses, reviews
🔗
Relational
Multiple linked tables — foreign key relationships
📡
Log / Event
Sequential event logs, server logs, audit trails
🗺️
Geospatial
Data with locations, coordinates, or geographic attributes
🌲
Hierarchical
Nested / tree structure — JSON, XML, org charts
Please select a data form.
📄 Output Configuration
How should the final analysis be delivered?
Output Type
📄
Document
Full report with sections and headings
🎯
Presentation
Slide-by-slide content with speaker notes
📊
Dashboard
KPIs, chart specs, metrics, tables
🖼️
Infographic
Visual content layout and data story spec
Document Type
Academic Report
Business Report
NGO Report
Sales Report
Academic Paper
Newspaper
Magazine
Please select an output type.
✅ Final Instructions
Optional: add custom requirements or extra context for Claude AI.
Quick-add
+ Year-over-year trends
+ Risk assessment
+ Flag anomalies
+ Benchmarks
+ Non-technical
+ Confidence intervals
+ Actionable recs
+ Plain language
