Overview

Dataset statistics

Number of variables10
Number of observations25
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory2.1 KiB
Average record size in memory86.3 B

Variable types

Categorical5
Text3
Numeric1
DateTime1

Dataset

Description강원도 삼척시 환경기초 시설(상수도시설의 처리방법 및 소재지 등, 하수처리시설의 처리방법 및 소재지 등, 폐기물매립시설의 매립용량 및 소재지 등)에 대한 현황 자료입니다.
Author강원특별자치도 삼척시
URLhttps://www.data.go.kr/data/3040046/fileData.do

Alerts

민영화 여부 has constant value ""Constant
담당부서 has constant value ""Constant
수탁업체 is highly overall correlated with 전화번호High correlation
전화번호 is highly overall correlated with 시설구분 and 1 other fieldsHigh correlation
시설구분 is highly overall correlated with 전화번호High correlation
시설구분 is highly imbalanced (75.8%)Imbalance
명칭 has unique valuesUnique
소재지 has unique valuesUnique
가동일시 has unique valuesUnique

Reproduction

Analysis started2023-12-12 06:00:41.850645
Analysis finished2023-12-12 06:00:42.596316
Duration0.75 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

시설구분
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct2
Distinct (%)8.0%
Missing0
Missing (%)0.0%
Memory size332.0 B
하수처리시설
24 
분뇨처리시설
 
1

Length

Max length6
Median length6
Mean length6
Min length6

Unique

Unique1 ?
Unique (%)4.0%

Sample

1st row하수처리시설
2nd row하수처리시설
3rd row하수처리시설
4th row하수처리시설
5th row하수처리시설

Common Values

ValueCountFrequency (%)
하수처리시설 24
96.0%
분뇨처리시설 1
 
4.0%

Length

2023-12-12T15:00:42.674027image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T15:00:42.764483image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
하수처리시설 24
96.0%
분뇨처리시설 1
 
4.0%

명칭
Text

UNIQUE 

Distinct25
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size332.0 B
2023-12-12T15:00:42.924528image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length11
Median length10
Mean length10.12
Min length7

Characters and Unicode

Total characters253
Distinct characters46
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique25 ?
Unique (%)100.0%

Sample

1st row삼척공공하수처리시설
2nd row도계공공하수처리시설
3rd row임원공공하수처리시설
4th row호산공공하수처리시설
5th row근덕공공하수처리시설
ValueCountFrequency (%)
삼척공공하수처리시설 1
 
4.0%
용화공공하수처리시설 1
 
4.0%
증산공공하수처리시설 1
 
4.0%
고무릉공공하수처리시설 1
 
4.0%
풍곡2공공하수처리시설 1
 
4.0%
풍곡공공하수처리시설 1
 
4.0%
청평공공하수처리시설 1
 
4.0%
고천공공하수처리시설 1
 
4.0%
골말공공하수처리시설 1
 
4.0%
미로공공하수처리시설 1
 
4.0%
Other values (15) 15
60.0%
2023-12-12T15:00:43.271318image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
공 48
19.0%
처 25
9.9%
리 25
9.9%
설 24
9.5%
하 24
9.5%
수 24
9.5%
시 24
9.5%
산 3
 
1.2%
2 3
 
1.2%
곡 3
 
1.2%
Other values (36) 50
19.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 248
98.0%
Decimal Number 5
 
2.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
공 48
19.4%
처 25
10.1%
리 25
10.1%
설 24
9.7%
하 24
9.7%
수 24
9.7%
시 24
9.7%
산 3
 
1.2%
곡 3
 
1.2%
장 2
 
0.8%
Other values (34) 46
18.5%
Decimal Number
ValueCountFrequency (%)
2 3
60.0%
1 2
40.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 248
98.0%
Common 5
 
2.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
공 48
19.4%
처 25
10.1%
리 25
10.1%
설 24
9.7%
하 24
9.7%
수 24
9.7%
시 24
9.7%
산 3
 
1.2%
곡 3
 
1.2%
장 2
 
0.8%
Other values (34) 46
18.5%
Common
ValueCountFrequency (%)
2 3
60.0%
1 2
40.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 248
98.0%
ASCII 5
 
2.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
공 48
19.4%
처 25
10.1%
리 25
10.1%
설 24
9.7%
하 24
9.7%
수 24
9.7%
시 24
9.7%
산 3
 
1.2%
곡 3
 
1.2%
장 2
 
0.8%
Other values (34) 46
18.5%
ASCII
ValueCountFrequency (%)
2 3
60.0%
1 2
40.0%

시설용량_톤_일
Real number (ℝ)

Distinct16
Distinct (%)64.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1532.12
Minimum30
Maximum25000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size357.0 B
2023-12-12T15:00:43.402863image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum30
5-th percentile34.4
Q150
median70
Q3170
95-th percentile5360
Maximum25000
Range24970
Interquartile range (IQR)120

Descriptive statistics

Standard deviation5058.3125
Coefficient of variation (CV)3.3015119
Kurtosis21.432729
Mean1532.12
Median Absolute Deviation (MAD)30
Skewness4.5400312
Sum38303
Variance25586525
MonotonicityNot monotonic
2023-12-12T15:00:43.790092image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
70 4
16.0%
50 3
12.0%
60 3
12.0%
100 2
 
8.0%
40 2
 
8.0%
170 1
 
4.0%
30 1
 
4.0%
33 1
 
4.0%
150 1
 
4.0%
130 1
 
4.0%
Other values (6) 6
24.0%
ValueCountFrequency (%)
30 1
 
4.0%
33 1
 
4.0%
40 2
8.0%
50 3
12.0%
60 3
12.0%
70 4
16.0%
100 2
8.0%
130 1
 
4.0%
150 1
 
4.0%
170 1
 
4.0%
ValueCountFrequency (%)
25000 1
4.0%
6300 1
4.0%
1600 1
4.0%
1500 1
4.0%
1300 1
4.0%
1200 1
4.0%
170 1
4.0%
150 1
4.0%
130 1
4.0%
100 2
8.0%

처리방법
Text

Distinct14
Distinct (%)56.0%
Missing0
Missing (%)0.0%
Memory size332.0 B
2023-12-12T15:00:43.964933image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length18
Median length15
Mean length8.44
Min length4

Characters and Unicode

Total characters211
Distinct characters51
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique8 ?
Unique (%)32.0%

Sample

1st rowDenipho
2nd rowSBR 공법
3rd rowSBR 공법
4th rowSBR 공법
5th rowSBR 공법
ValueCountFrequency (%)
공법 8
20.5%
sbr 5
12.8%
bbf-dns공법 4
10.3%
jassfr 2
 
5.1%
km-sbr공법 2
 
5.1%
sbr변형회분식 2
 
5.1%
활성슬러지법 2
 
5.1%
mh 2
 
5.1%
자연정화법 2
 
5.1%
bsts-2 1
 
2.6%
Other values (9) 9
23.1%
2023-12-12T15:00:44.308045image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
S 25
 
11.8%
B 21
 
10.0%
법 21
 
10.0%
공 15
 
7.1%
14
 
6.6%
R 13
 
6.2%
F 7
 
3.3%
- 7
 
3.3%
D 5
 
2.4%
M 5
 
2.4%
Other values (41) 78
37.0%

Most occurring categories

ValueCountFrequency (%)
Uppercase Letter 94
44.5%
Other Letter 87
41.2%
Space Separator 14
 
6.6%
Dash Punctuation 7
 
3.3%
Lowercase Letter 6
 
2.8%
Math Symbol 2
 
0.9%
Decimal Number 1
 
0.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
법 21
24.1%
공 15
17.2%
성 4
 
4.6%
지 4
 
4.6%
러 3
 
3.4%
슬 3
 
3.4%
식 3
 
3.4%
활 3
 
3.4%
연 3
 
3.4%
분 3
 
3.4%
Other values (17) 25
28.7%
Uppercase Letter
ValueCountFrequency (%)
S 25
26.6%
B 21
22.3%
R 13
13.8%
F 7
 
7.4%
D 5
 
5.3%
M 5
 
5.3%
N 4
 
4.3%
A 4
 
4.3%
C 2
 
2.1%
H 2
 
2.1%
Other values (4) 6
 
6.4%
Lowercase Letter
ValueCountFrequency (%)
o 1
16.7%
h 1
16.7%
p 1
16.7%
i 1
16.7%
n 1
16.7%
e 1
16.7%
Space Separator
ValueCountFrequency (%)
14
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 7
100.0%
Math Symbol
ValueCountFrequency (%)
+ 2
100.0%
Decimal Number
ValueCountFrequency (%)
2 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 100
47.4%
Hangul 87
41.2%
Common 24
 
11.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
법 21
24.1%
공 15
17.2%
성 4
 
4.6%
지 4
 
4.6%
러 3
 
3.4%
슬 3
 
3.4%
식 3
 
3.4%
활 3
 
3.4%
연 3
 
3.4%
분 3
 
3.4%
Other values (17) 25
28.7%
Latin
ValueCountFrequency (%)
S 25
25.0%
B 21
21.0%
R 13
13.0%
F 7
 
7.0%
D 5
 
5.0%
M 5
 
5.0%
N 4
 
4.0%
A 4
 
4.0%
C 2
 
2.0%
H 2
 
2.0%
Other values (10) 12
12.0%
Common
ValueCountFrequency (%)
14
58.3%
- 7
29.2%
+ 2
 
8.3%
2 1
 
4.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 124
58.8%
Hangul 87
41.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
S 25
20.2%
B 21
16.9%
14
11.3%
R 13
10.5%
F 7
 
5.6%
- 7
 
5.6%
D 5
 
4.0%
M 5
 
4.0%
N 4
 
3.2%
A 4
 
3.2%
Other values (14) 19
15.3%
Hangul
ValueCountFrequency (%)
법 21
24.1%
공 15
17.2%
성 4
 
4.6%
지 4
 
4.6%
러 3
 
3.4%
슬 3
 
3.4%
식 3
 
3.4%
활 3
 
3.4%
연 3
 
3.4%
분 3
 
3.4%
Other values (17) 25
28.7%

소재지
Text

UNIQUE 

Distinct25
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size332.0 B
2023-12-12T15:00:44.511869image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length21
Median length19
Mean length17
Min length13

Characters and Unicode

Total characters425
Distinct characters70
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique25 ?
Unique (%)100.0%

Sample

1st row삼척시 동해대로 3830-15(오분동)
2nd row삼척시 도계읍 강원남부로 1895
3rd row삼척시 원덕읍 삼척로 1266-6
4th row삼척시 원덕읍 삼척로 565
5th row삼척시 근덕면 삼척로 3741
ValueCountFrequency (%)
삼척시 25
25.5%
근덕면 7
 
7.1%
원덕읍 6
 
6.1%
삼척로 6
 
6.1%
미로면 3
 
3.1%
가곡면 3
 
3.1%
도계읍 2
 
2.0%
1482 1
 
1.0%
2557-14 1
 
1.0%
적벽길 1
 
1.0%
Other values (43) 43
43.9%
2023-12-12T15:00:44.962788image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
74
17.4%
삼 31
 
7.3%
척 31
 
7.3%
시 25
 
5.9%
로 18
 
4.2%
2 18
 
4.2%
1 17
 
4.0%
면 15
 
3.5%
5 14
 
3.3%
덕 13
 
3.1%
Other values (60) 169
39.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 235
55.3%
Decimal Number 102
24.0%
Space Separator 74
 
17.4%
Dash Punctuation 12
 
2.8%
Close Punctuation 1
 
0.2%
Open Punctuation 1
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
삼 31
13.2%
척 31
13.2%
시 25
 
10.6%
로 18
 
7.7%
면 15
 
6.4%
덕 13
 
5.5%
길 10
 
4.3%
읍 8
 
3.4%
원 8
 
3.4%
근 7
 
3.0%
Other values (46) 69
29.4%
Decimal Number
ValueCountFrequency (%)
2 18
17.6%
1 17
16.7%
5 14
13.7%
3 11
10.8%
8 11
10.8%
4 9
8.8%
0 8
7.8%
7 7
 
6.9%
6 6
 
5.9%
9 1
 
1.0%
Space Separator
ValueCountFrequency (%)
74
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 12
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 235
55.3%
Common 190
44.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
삼 31
13.2%
척 31
13.2%
시 25
 
10.6%
로 18
 
7.7%
면 15
 
6.4%
덕 13
 
5.5%
길 10
 
4.3%
읍 8
 
3.4%
원 8
 
3.4%
근 7
 
3.0%
Other values (46) 69
29.4%
Common
ValueCountFrequency (%)
74
38.9%
2 18
 
9.5%
1 17
 
8.9%
5 14
 
7.4%
- 12
 
6.3%
3 11
 
5.8%
8 11
 
5.8%
4 9
 
4.7%
0 8
 
4.2%
7 7
 
3.7%
Other values (4) 9
 
4.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 235
55.3%
ASCII 190
44.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
74
38.9%
2 18
 
9.5%
1 17
 
8.9%
5 14
 
7.4%
- 12
 
6.3%
3 11
 
5.8%
8 11
 
5.8%
4 9
 
4.7%
0 8
 
4.2%
7 7
 
3.7%
Other values (4) 9
 
4.7%
Hangul
ValueCountFrequency (%)
삼 31
13.2%
척 31
13.2%
시 25
 
10.6%
로 18
 
7.7%
면 15
 
6.4%
덕 13
 
5.5%
길 10
 
4.3%
읍 8
 
3.4%
원 8
 
3.4%
근 7
 
3.0%
Other values (46) 69
29.4%

가동일시
Date

UNIQUE 

Distinct25
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size332.0 B
Minimum1991-07-27 00:00:00
Maximum2023-07-19 00:00:00
2023-12-12T15:00:45.105325image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T15:00:45.238718image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=25)

수탁업체
Categorical

HIGH CORRELATION 

Distinct2
Distinct (%)8.0%
Missing0
Missing (%)0.0%
Memory size332.0 B
㈜에코이에스
15 
㈜동명기술공단종합건축사사무소
10 

Length

Max length15
Median length6
Mean length9.6
Min length6

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row㈜동명기술공단종합건축사사무소
2nd row㈜에코이에스
3rd row㈜동명기술공단종합건축사사무소
4th row㈜동명기술공단종합건축사사무소
5th row㈜에코이에스

Common Values

ValueCountFrequency (%)
㈜에코이에스 15
60.0%
㈜동명기술공단종합건축사사무소 10
40.0%

Length

2023-12-12T15:00:45.404484image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T15:00:45.514951image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
㈜에코이에스 15
60.0%
㈜동명기술공단종합건축사사무소 10
40.0%

전화번호
Categorical

HIGH CORRELATION 

Distinct5
Distinct (%)20.0%
Missing0
Missing (%)0.0%
Memory size332.0 B
070-5066-1739
12 
033-576-0167
9 
070-5066-1730
2 
070-5066-1736
 
1
033-576-0268
 
1

Length

Max length13
Median length13
Mean length12.6
Min length12

Unique

Unique2 ?
Unique (%)8.0%

Sample

1st row033-576-0167
2nd row070-5066-1730
3rd row033-576-0167
4th row033-576-0167
5th row070-5066-1736

Common Values

ValueCountFrequency (%)
070-5066-1739 12
48.0%
033-576-0167 9
36.0%
070-5066-1730 2
 
8.0%
070-5066-1736 1
 
4.0%
033-576-0268 1
 
4.0%

Length

2023-12-12T15:00:45.653909image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T15:00:45.779135image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
070-5066-1739 12
48.0%
033-576-0167 9
36.0%
070-5066-1730 2
 
8.0%
070-5066-1736 1
 
4.0%
033-576-0268 1
 
4.0%

민영화 여부
Categorical

CONSTANT 

Distinct1
Distinct (%)4.0%
Missing0
Missing (%)0.0%
Memory size332.0 B
민간위탁(관리대행)
25 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row민간위탁(관리대행)
2nd row민간위탁(관리대행)
3rd row민간위탁(관리대행)
4th row민간위탁(관리대행)
5th row민간위탁(관리대행)

Common Values

ValueCountFrequency (%)
민간위탁(관리대행) 25
100.0%

Length

2023-12-12T15:00:45.909560image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T15:00:46.019089image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
민간위탁(관리대행 25
100.0%

담당부서
Categorical

CONSTANT 

Distinct1
Distinct (%)4.0%
Missing0
Missing (%)0.0%
Memory size332.0 B
하수도사업소
25 

Length

Max length6
Median length6
Mean length6
Min length6

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row하수도사업소
2nd row하수도사업소
3rd row하수도사업소
4th row하수도사업소
5th row하수도사업소

Common Values

ValueCountFrequency (%)
하수도사업소 25
100.0%

Length

2023-12-12T15:00:46.139636image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T15:00:46.237503image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
하수도사업소 25
100.0%

Interactions

2023-12-12T15:00:42.225638image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T15:00:46.319784image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
시설구분명칭시설용량_톤_일처리방법소재지가동일시수탁업체전화번호
시설구분1.0001.0000.0001.0001.0001.0000.0000.508
명칭1.0001.0001.0001.0001.0001.0001.0001.000
시설용량_톤_일0.0001.0001.0000.5441.0001.0000.0520.440
처리방법1.0001.0000.5441.0001.0001.0000.3200.000
소재지1.0001.0001.0001.0001.0001.0001.0001.000
가동일시1.0001.0001.0001.0001.0001.0001.0001.000
수탁업체0.0001.0000.0520.3201.0001.0001.0001.000
전화번호0.5081.0000.4400.0001.0001.0001.0001.000
2023-12-12T15:00:46.446818image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
수탁업체전화번호시설구분
수탁업체1.0000.9330.000
전화번호0.9331.0000.571
시설구분0.0000.5711.000
2023-12-12T15:00:46.554653image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
시설용량_톤_일시설구분수탁업체전화번호
시설용량_톤_일1.0000.0000.0610.344
시설구분0.0001.0000.0000.571
수탁업체0.0610.0001.0000.933
전화번호0.3440.5710.9331.000

Missing values

2023-12-12T15:00:42.365173image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T15:00:42.532297image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

Sample

시설구분명칭시설용량_톤_일처리방법소재지가동일시수탁업체전화번호민영화 여부담당부서
0하수처리시설삼척공공하수처리시설25000Denipho삼척시 동해대로 3830-15(오분동)1999-12-30㈜동명기술공단종합건축사사무소033-576-0167민간위탁(관리대행)하수도사업소
1하수처리시설도계공공하수처리시설6300SBR 공법삼척시 도계읍 강원남부로 18952003-06-21㈜에코이에스070-5066-1730민간위탁(관리대행)하수도사업소
2하수처리시설임원공공하수처리시설1300SBR 공법삼척시 원덕읍 삼척로 1266-62010-03-25㈜동명기술공단종합건축사사무소033-576-0167민간위탁(관리대행)하수도사업소
3하수처리시설호산공공하수처리시설1500SBR 공법삼척시 원덕읍 삼척로 5652013-04-03㈜동명기술공단종합건축사사무소033-576-0167민간위탁(관리대행)하수도사업소
4하수처리시설근덕공공하수처리시설1600SBR 공법삼척시 근덕면 삼척로 37412016-07-28㈜에코이에스070-5066-1736민간위탁(관리대행)하수도사업소
5하수처리시설근덕2공공하수처리시설1200SBR 공법삼척시 근덕면 용화리 520-712023-07-19㈜동명기술공단종합건축사사무소033-576-0268민간위탁(관리대행)하수도사업소
6하수처리시설월천공공하수처리시설70SBF 공법삼척시 원덕읍 삼척로 232-351996-05-22㈜동명기술공단종합건축사사무소033-576-0167민간위탁(관리대행)하수도사업소
7하수처리시설갈남1공공하수처리시설50JASSFR 공법삼척시 원덕읍 갈남길 1082012-04-25㈜에코이에스070-5066-1739민간위탁(관리대행)하수도사업소
8하수처리시설갈남2공공하수처리시설100BBF-DNS공법삼척시 원덕읍 신남길 72-702019-07-15㈜에코이에스070-5066-1739민간위탁(관리대행)하수도사업소
9하수처리시설산양1공공하수처리시설40ESSA공법삼척시 원덕읍 산양서원2길 24-852016-09-21㈜동명기술공단종합건축사사무소033-576-0167민간위탁(관리대행)하수도사업소
시설구분명칭시설용량_톤_일처리방법소재지가동일시수탁업체전화번호민영화 여부담당부서
15하수처리시설광동공공하수처리시설130BBF-DNS공법삼척시 하장면 백두대간로 2557-142009-10-28㈜에코이에스070-5066-1739민간위탁(관리대행)하수도사업소
16하수처리시설미로공공하수처리시설150SBR변형회분식 활성슬러지법삼척시 미로면 적벽길 1181993-01-01㈜에코이에스070-5066-1739민간위탁(관리대행)하수도사업소
17하수처리시설골말공공하수처리시설33CMBR삼척시 미로면 미로강변로 222000-10-30㈜에코이에스070-5066-1739민간위탁(관리대행)하수도사업소
18하수처리시설고천공공하수처리시설50KM-SBR공법삼척시 미로면 고내로 502008-12-26㈜에코이에스070-5066-1739민간위탁(관리대행)하수도사업소
19하수처리시설청평공공하수처리시설60MH 자연정화법삼척시 가곡면 가곡천로 14821998-11-23㈜동명기술공단종합건축사사무소033-576-0167민간위탁(관리대행)하수도사업소
20하수처리시설풍곡공공하수처리시설40BBF-DNS공법삼척시 가곡면 청옥로 45582002-06-21㈜동명기술공단종합건축사사무소033-576-0167민간위탁(관리대행)하수도사업소
21하수처리시설풍곡2공공하수처리시설50BBF-DNS공법삼척시 가곡면 풍곡리 506-42022-06-29㈜동명기술공단종합건축사사무소033-576-0167민간위탁(관리대행)하수도사업소
22하수처리시설고무릉공공하수처리시설30MH 자연정화법삼척시 신기면 고무릉길 25-182005-03-01㈜에코이에스070-5066-1739민간위탁(관리대행)하수도사업소
23하수처리시설증산공공하수처리시설60SBR변형회분식 활성슬러지법삼척시 수로부인길 3432000-12-27㈜에코이에스070-5066-1739민간위탁(관리대행)하수도사업소
24분뇨처리시설도계분뇨처리장70호기성소화+하수연계삼척시 도계읍 늑구2길 18-1271991-07-27㈜에코이에스070-5066-1730민간위탁(관리대행)하수도사업소