Registration Trends
Year-wise and course-wise registration patterns
Year-wise Total ITI Student Registration
Total learners registered, by academic year
Year-wise Course Distribution
Secondary vs Senior Secondary, by academic year
Course-wise Overall Distribution
Share of total registrations
AI Registration Concentration
Ranked AIs — cumulative share of total
Study Centre Highlights
Top and bottom performing AIs by registration volume
Top 10 AIs by Registration
Highest volume Accredited Institutions
Bottom 10 AIs by Registration
Lowest volume Accredited Institutions (among those with registrations)
Year × Course Matrix
Registration volume across year and course
Management Insights
Auto-generated from the current filtered dataset
AI / Study Centre Ranking
Sortable — click any column header. Click a row to view its learners.
Study Centre Charts
Volume, course split, and consistency across academic years
Top 20 AIs by Total Registration
Secondary vs Senior Secondary — Top 15 AIs
AI-wise Year Trend
Select an AI to trace its registrations across years
AI Volume vs. Years Active
Bubble size = total learners
Year-wise Analysis
Registration volume, growth, and composition by academic year
Total Registrations by Academic Year
Year-wise Course Share (%)
Year-wise AI Count
Number of distinct AIs registering learners each year
Year-wise Average Learners per AI
Year-on-Year Growth
Change versus previous academic year
Course-wise Analysis
Secondary vs Senior Secondary — trends and distribution
Course-wise Total Registrations
Course Percentage Share
Course-wise Year Trend
Course-wise AI Distribution (Top 12 AIs)
Top AIs by Course
Leading Accredited Institutions within each course
Top 10 AIs — Secondary
Top 10 AIs — Senior Secondary
Subject Analysis
Parsed from the subjects field — codes shown as-is; no subject-name master was supplied, so names are not invented.
Top 15 Subjects by Learner Count
A learner may select multiple subjects — this does not duplicate learner totals elsewhere
Subject × Course Distribution (Top 12 subjects)
Learner Detail Records
Individual learner-level data. Not shown on management summary pages. Respects all filters above.
Data Quality & Methodology
Validation performed against the full, unfiltered source file
Methodology
- Course values were read as supplied (Secondary / Senior Secondary) — no re-mapping was required as only these two clean values were present in the source.
- AICode and AIName were checked for a consistent one-to-one mapping. Records with no AICode/AIName in the source are grouped separately as "Unassigned" / "AI Not Assigned" rather than dropped, so overall learner totals stay accurate.
- Reference number and enrollment number are treated strictly as identifiers, never aggregated as measures.
- The subjects field (comma-separated codes) is parsed into an unpivoted subject dimension purely for subject-level charts, so a learner with 5 subjects contributes 5 subject-rows there but is still counted once everywhere else (KPIs, year, course, AI).
- Personally identifying fields (Student Name, Father's Name, Mother's Name) appear only on the Learner Details page, never in AI/Year/Course/Subject summaries or charts.
- No geographical field (State / District / Regional Centre) is present in the source file, so geographical analysis is marked "Data Not Available" — locations were not inferred from AI names.