CMWSSB Complaint Analytics

Street	Depot	Complaints	People
Noor Veerasamy Street	DEP 113	43	1
Noor Veerasamy Lane	DEP 113	10	1
Bala Muthu Krishnan Street	DEP 113	4	4
Deivanayagan Street	DEP 113	4	4
Habibullah Road	DEP 113	4	4
North Ushman Road	DEP 113	3	3
Thilak Street	DEP 113	3	2
Cathedral Garden Road	DEP 113	2	2
Krishnabai Street	DEP 113	2	2
Kumarappa Street	DEP 113	2	2
Partha Sarathypuram Lane	DEP 113	2	1
Periyar Road	DEP 113	2	2

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

CSV PDF

Street	Depot	Sewer	People
Habibullah Road	113	65	42
Kumarappa Street	113	57	17
West Mada Street	113	57	27
Partha Sarathy Puram	113	51	18
North Ushman Road	113	40	24
Grama II Street	113	31	11
Kodambakkam High Road (Alias) Dr.m.g.r. Salai	113	26	14
South Mada Street	113	26	8
Veerabadran Street	113	26	14
Cathedral Garden Road	113	25	10

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

CSV PDF

Street	Depot	Water	People
Habibullah Road	113	31	21
Unnamalai Amman Street	113	28	14
Partha Sarathy Puram	113	18	10
Kumarappa Lane	113	12	9
Thilak Street	113	12	9
Bala Muthu Krishnan Street	113	11	7
Thirumoorthy Nagar I Street	113	11	1
North Ushman Road	113	10	9
Kodambakkam High Road (Alias) Dr.m.g.r. Salai	113	9	6
Krishnabai Street	113	9	4

💧 Water Pollution (pollution complaints)

CSV PDF

Street	Depot	Pollut.	People
Saradambal Street	113	11	5
Balaji Avenue II Street	113	8	7
Krishnabai Street	113	6	4
Rama Street	113	6	4
Thiyagaraya Gramani St	113	5	4
Dharmapuram Vii Street	113	4	3
Partha Sarathy Puram	113	4	2
Thilak Street	113	4	4
Cathedral Garden Road	113	3	1
Dharmapuram II Street	113	3	3

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

PDF

Category	Street	Depot	Times	Span (days)	Avg gap (days)	Per month
Others	Noor Veerasamy Street	113	43	22	0.5	59.67
Others	Noor Veerasamy Lane	113	10	17	1.8	18.15
Others	Bala Muthu Krishnan Street	113	4	456	152	0.26
Others	Deivanayagan Street	113	4	41	13.7	2.91
Others	Habibullah Road	113	4	461	153.7	0.26

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	117	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		16	5	3	24
Tue		4	9	1	14
Wed		7	5	4	16
Thu		4	9	5	18
Fri		3	5	3	11
Sat		15	4	7	26
Sun		1	5	2	8
Total	0	50	42	25	117

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.