CMWSSB Complaint Analytics

Avg gap = average days between consecutive complaints of that type on that street. Lower gap / higher “per month” = a faster-recurring, unresolved problem.

🔬 Advanced Analysis

Pareto — the vital few (which categories drive most complaints)

Categories ordered by volume with their cumulative share. The highlighted rows are the smallest set that together account for ~80% of all complaints — fix these first.

Category	Count	Share	Cumulative
No Water Supply vital	24	53.3%	53.3%
Sewer Main Block vital	16	35.6%	88.9%
Booking Issues	2	4.4%	93.3%
Water Pollution	2	4.4%	97.8%
Sewer - House Block	1	2.2%	100%

When complaints arrive (weekday × time of day)

Load pattern across the week — darker cells are busier six-hour windows. Useful for staffing and planning proactive checks before the peak.

	Night	Morning	Afternoon	Evening	Total
Mon		3	3	1	7
Tue		5	4	1	10
Wed		5	1	2	8
Thu		4	4	1	9
Fri		4	2	1	7
Sat		1		2	3
Sun				1	1
Total	0	22	14	9	45

Linked problems (category pairs that hit the same streets)

Pairs of issue types that recur together on the same street, ranked by the number of streets where both appear. Strong pairs point to a shared root cause worth fixing in one visit.

Problem A	Problem B	Shared streets
Not enough overlapping complaints in this scope.