CMWSSB Complaint Analytics

Street	Depot	Complaints	People
Anna Salai	DEP 111	3	3
Greams Lane	DEP 111	2	2
Peters Road	DEP 111	2	2
140/2-Greams Road	DEP 111	1	1
Aziz Mulk III Street	DEP 111	1	1
Aziz Mulk Iv Street	DEP 111	1	1
Ellari Street	DEP 111	1	1
Gulam Abbas Alikhan Vii Lane	DEP 111	1	1
Haddows Road	DEP 111	1	1
Model School Road	DEP 111	1	1
Pathari Road	DEP 111	1	1
Rangoon Street	DEP 111	1	1

🛠 Sewer Complaints (main block · house block · overflow)

CSV PDF

Street	Depot	Sewer	People
Anna Salai	111	58	35
College Road	111	31	23
Aziz Mulk I Street	111	22	11
Damodharan Street	111	22	9
Aziz Mulk III Street	111	20	14
Greams Road	111	20	15
Peters Road	111	20	16
Pycrofts Garden Road	111	20	11
Ellari Street	111	19	7
Gulam Abbas Alikhan Vii Lane	111	19	4

🚰 Water Complaints (no supply · short supply · leaks)

CSV PDF

Street	Depot	Water	People
Anna Salai	111	16	13
Aziz Mulk III Street	111	12	10
Nungambakkam Iv Lane	111	12	6
Buddhi Begum 2Nd Lane	111	9	6
Moors Road	111	9	3
Greams Road	111	7	5
Model School Road	111	7	6
Aziz Mulk I Street	111	6	5
Aziz Mulk Vii Street	111	6	1
College Road	111	6	3

💧 Water Pollution (pollution complaints)

CSV PDF

Street	Depot	Pollut.	People
Aziz Mulk Viii Street	111	5	4
College Road	111	5	2
Haddows Road II Street	111	5	3
Greams Road	111	3	1
Model School Road	111	3	1
Aziz Mulk I Street	111	2	1
Aziz Mulk II Street	111	2	2
Begaum Sahib 2Nd Street	111	2	2
Ellari Street	111	2	2
Gopalapuram 2Nd Street	111	2	2

🔁 Recurrence — how often the same issue comes back (same category · same street)

PDF

Category	Street	Depot	Times	Span (days)	Avg gap (days)	Per month
No issue recurred often enough in this scope.

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
Others vital	19	100%	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		2	2		4
Tue		1	2		3
Wed		1	2	2	5
Thu			1	1	2
Fri				1	1
Sat			1	2	3
Sun		1			1
Total	0	5	8	6	19

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.