Overview

Dataset statistics

Number of variables10
Number of observations37
Missing cells33
Missing cells (%)8.9%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory3.1 KiB
Average record size in memory84.6 B

Variable types

Text4
Numeric1
Categorical4
DateTime1

Dataset

Description강원도 원주시의 하수시설물에 대한 데이터로 처리장명, 처리장위치, 처리용량, 처리공법, 운영방법등 다양한 정보를 제공합니다.
Author강원도 원주시
URLhttps://www.data.go.kr/data/3060616/fileData.do

Alerts

관리기관 has constant value ""Constant
데이터기준일자 has constant value ""Constant
전화번호(관리기관) is highly overall correlated with 처리용량(톤-일) and 2 other fieldsHigh correlation
전화번호(처리장) is highly overall correlated with 처리용량(톤-일) and 2 other fieldsHigh correlation
운영방법 is highly overall correlated with 처리용량(톤-일) and 2 other fieldsHigh correlation
처리용량(톤-일) is highly overall correlated with 전화번호(처리장) and 2 other fieldsHigh correlation
전화번호(처리장) is highly imbalanced (69.4%)Imbalance
운영방법 is highly imbalanced (63.3%)Imbalance
전화번호(관리기관) is highly imbalanced (63.3%)Imbalance
특이사항 has 33 (89.2%) missing valuesMissing
처리장명 has unique valuesUnique
위치 has unique valuesUnique

Reproduction

Analysis started2023-12-12 08:04:23.866496
Analysis finished2023-12-12 08:04:24.774709
Duration0.91 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

처리장명
Text

UNIQUE 

Distinct37
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size428.0 B
2023-12-12T17:04:24.925656image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length10
Mean length10.351351
Min length9

Characters and Unicode

Total characters383
Distinct characters68
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique37 ?
Unique (%)100.0%

Sample

1st row원주공공하수처리장
2nd row문막공공하수처리장
3rd row흥업공공하수처리장
4th row기업도시공공하수처리장
5th row학곡 마을하수처리장
ValueCountFrequency (%)
마을하수처리장 33
47.1%
원주공공하수처리장 1
 
1.4%
대송 1
 
1.4%
법천 1
 
1.4%
흥호 1
 
1.4%
운남 1
 
1.4%
평촌 1
 
1.4%
용암말 1
 
1.4%
다둔 1
 
1.4%
황산 1
 
1.4%
Other values (28) 28
40.0%
2023-12-12T17:04:25.388959image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
장 39
10.2%
하 38
9.9%
수 38
9.9%
리 38
9.9%
처 37
9.7%
33
8.6%
을 33
8.6%
마 33
8.6%
공 9
 
2.3%
호 4
 
1.0%
Other values (58) 81
21.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 349
91.1%
Space Separator 33
 
8.6%
Decimal Number 1
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
장 39
11.2%
하 38
10.9%
수 38
10.9%
리 38
10.9%
처 37
10.6%
을 33
9.5%
마 33
9.5%
공 9
 
2.6%
호 4
 
1.1%
평 3
 
0.9%
Other values (56) 77
22.1%
Space Separator
ValueCountFrequency (%)
33
100.0%
Decimal Number
ValueCountFrequency (%)
1 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 349
91.1%
Common 34
 
8.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
장 39
11.2%
하 38
10.9%
수 38
10.9%
리 38
10.9%
처 37
10.6%
을 33
9.5%
마 33
9.5%
공 9
 
2.6%
호 4
 
1.1%
평 3
 
0.9%
Other values (56) 77
22.1%
Common
ValueCountFrequency (%)
33
97.1%
1 1
 
2.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 349
91.1%
ASCII 34
 
8.9%

Most frequent character per block

Hangul
ValueCountFrequency (%)
장 39
11.2%
하 38
10.9%
수 38
10.9%
리 38
10.9%
처 37
10.6%
을 33
9.5%
마 33
9.5%
공 9
 
2.6%
호 4
 
1.1%
평 3
 
0.9%
Other values (56) 77
22.1%
ASCII
ValueCountFrequency (%)
33
97.1%
1 1
 
2.9%

위치
Text

UNIQUE 

Distinct37
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size428.0 B
2023-12-12T17:04:25.653691image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length23
Median length21
Mean length20.864865
Min length15

Characters and Unicode

Total characters772
Distinct characters70
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique37 ?
Unique (%)100.0%

Sample

1st row강원도 원주시 호저로 227
2nd row강원도 원주시 문막읍 후용리 1493
3rd row강원도 원주시 흥업면 사제리 1446
4th row강원도 원주시 지정면 기업도시로 245
5th row강원도 원주시 소초면 학곡리 594
ValueCountFrequency (%)
강원도 37
20.1%
원주시 37
20.1%
지정면 11
 
6.0%
소초면 5
 
2.7%
귀래면 5
 
2.7%
신림면 5
 
2.7%
문막읍 4
 
2.2%
부론면 2
 
1.1%
신평리 2
 
1.1%
운남리 2
 
1.1%
Other values (71) 74
40.2%
2023-12-12T17:04:26.214744image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
147
19.0%
원 74
 
9.6%
1 40
 
5.2%
주 39
 
5.1%
도 38
 
4.9%
시 38
 
4.9%
강 37
 
4.8%
리 35
 
4.5%
면 32
 
4.1%
4 22
 
2.8%
Other values (60) 270
35.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 445
57.6%
Decimal Number 160
 
20.7%
Space Separator 147
 
19.0%
Dash Punctuation 20
 
2.6%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
원 74
16.6%
주 39
 
8.8%
도 38
 
8.5%
시 38
 
8.5%
강 37
 
8.3%
리 35
 
7.9%
면 32
 
7.2%
정 11
 
2.5%
지 11
 
2.5%
신 7
 
1.6%
Other values (48) 123
27.6%
Decimal Number
ValueCountFrequency (%)
1 40
25.0%
4 22
13.8%
3 19
11.9%
2 18
11.2%
6 13
 
8.1%
5 12
 
7.5%
7 12
 
7.5%
0 9
 
5.6%
9 8
 
5.0%
8 7
 
4.4%
Space Separator
ValueCountFrequency (%)
147
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 20
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 445
57.6%
Common 327
42.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
원 74
16.6%
주 39
 
8.8%
도 38
 
8.5%
시 38
 
8.5%
강 37
 
8.3%
리 35
 
7.9%
면 32
 
7.2%
정 11
 
2.5%
지 11
 
2.5%
신 7
 
1.6%
Other values (48) 123
27.6%
Common
ValueCountFrequency (%)
147
45.0%
1 40
 
12.2%
4 22
 
6.7%
- 20
 
6.1%
3 19
 
5.8%
2 18
 
5.5%
6 13
 
4.0%
5 12
 
3.7%
7 12
 
3.7%
0 9
 
2.8%
Other values (2) 15
 
4.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 445
57.6%
ASCII 327
42.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
147
45.0%
1 40
 
12.2%
4 22
 
6.7%
- 20
 
6.1%
3 19
 
5.8%
2 18
 
5.5%
6 13
 
4.0%
5 12
 
3.7%
7 12
 
3.7%
0 9
 
2.8%
Other values (2) 15
 
4.6%
Hangul
ValueCountFrequency (%)
원 74
16.6%
주 39
 
8.8%
도 38
 
8.5%
시 38
 
8.5%
강 37
 
8.3%
리 35
 
7.9%
면 32
 
7.2%
정 11
 
2.5%
지 11
 
2.5%
신 7
 
1.6%
Other values (48) 123
27.6%

처리용량(톤-일)
Real number (ℝ)

HIGH CORRELATION 

Distinct21
Distinct (%)56.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5009
Minimum18
Maximum156000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size465.0 B
2023-12-12T17:04:26.387384image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum18
5-th percentile24
Q135
median60
Q3200
95-th percentile8120
Maximum156000
Range155982
Interquartile range (IQR)165

Descriptive statistics

Standard deviation25635.434
Coefficient of variation (CV)5.1178747
Kurtosis36.232696
Mean5009
Median Absolute Deviation (MAD)40
Skewness5.9941137
Sum185333
Variance6.571755 × 108
MonotonicityNot monotonic
2023-12-12T17:04:26.552476image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
100 5
13.5%
30 5
13.5%
50 4
 
10.8%
35 3
 
8.1%
60 2
 
5.4%
230 2
 
5.4%
200 2
 
5.4%
110 1
 
2.7%
160 1
 
2.7%
360 1
 
2.7%
Other values (11) 11
29.7%
ValueCountFrequency (%)
18 1
 
2.7%
20 1
 
2.7%
25 1
 
2.7%
30 5
13.5%
35 3
8.1%
40 1
 
2.7%
45 1
 
2.7%
50 4
10.8%
60 2
 
5.4%
70 1
 
2.7%
ValueCountFrequency (%)
156000 1
2.7%
12600 1
2.7%
7000 1
2.7%
6500 1
2.7%
450 1
2.7%
360 1
2.7%
230 2
5.4%
200 2
5.4%
160 1
2.7%
110 1
2.7%

처리공법
Text

Distinct21
Distinct (%)56.8%
Missing0
Missing (%)0.0%
Memory size428.0 B
2023-12-12T17:04:26.805676image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length10
Median length9
Mean length6
Min length4

Characters and Unicode

Total characters222
Distinct characters27
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

Unique15 ?
Unique (%)40.5%

Sample

1st rowNPR공법
2nd rowKSBNR공법
3rd rowBio-SAC공법
4th rowKSMBR공법
5th rowHANT공법
ValueCountFrequency (%)
hant공법 6
15.8%
km-sbr 5
13.2%
ds메디아 4
 
10.5%
ks-mbr 3
 
7.9%
dnr공법 2
 
5.3%
ksbnr 2
 
5.3%
a2ebc 1
 
2.6%
k-mbr 1
 
2.6%
essa 1
 
2.6%
bbf+sbr 1
 
2.6%
Other values (12) 12
31.6%
2023-12-12T17:04:27.260051image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
S 25
11.3%
B 25
11.3%
R 23
 
10.4%
- 15
 
6.8%
공 13
 
5.9%
법 13
 
5.9%
K 13
 
5.9%
N 12
 
5.4%
M 12
 
5.4%
A 10
 
4.5%
Other values (17) 61
27.5%

Most occurring categories

ValueCountFrequency (%)
Uppercase Letter 161
72.5%
Other Letter 38
 
17.1%
Dash Punctuation 15
 
6.8%
Math Symbol 3
 
1.4%
Decimal Number 2
 
0.9%
Lowercase Letter 2
 
0.9%
Space Separator 1
 
0.5%

Most frequent character per category

Uppercase Letter
ValueCountFrequency (%)
S 25
15.5%
B 25
15.5%
R 23
14.3%
K 13
8.1%
N 12
7.5%
M 12
7.5%
A 10
 
6.2%
T 8
 
5.0%
I 8
 
5.0%
H 7
 
4.3%
Other values (6) 18
11.2%
Other Letter
ValueCountFrequency (%)
공 13
34.2%
법 13
34.2%
메 4
 
10.5%
아 4
 
10.5%
디 4
 
10.5%
Lowercase Letter
ValueCountFrequency (%)
i 1
50.0%
o 1
50.0%
Dash Punctuation
ValueCountFrequency (%)
- 15
100.0%
Math Symbol
ValueCountFrequency (%)
+ 3
100.0%
Decimal Number
ValueCountFrequency (%)
2 2
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 163
73.4%
Hangul 38
 
17.1%
Common 21
 
9.5%

Most frequent character per script

Latin
ValueCountFrequency (%)
S 25
15.3%
B 25
15.3%
R 23
14.1%
K 13
8.0%
N 12
7.4%
M 12
7.4%
A 10
 
6.1%
T 8
 
4.9%
I 8
 
4.9%
H 7
 
4.3%
Other values (8) 20
12.3%
Hangul
ValueCountFrequency (%)
공 13
34.2%
법 13
34.2%
메 4
 
10.5%
아 4
 
10.5%
디 4
 
10.5%
Common
ValueCountFrequency (%)
- 15
71.4%
+ 3
 
14.3%
2 2
 
9.5%
1
 
4.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 184
82.9%
Hangul 38
 
17.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
S 25
13.6%
B 25
13.6%
R 23
12.5%
- 15
8.2%
K 13
 
7.1%
N 12
 
6.5%
M 12
 
6.5%
A 10
 
5.4%
T 8
 
4.3%
I 8
 
4.3%
Other values (12) 33
17.9%
Hangul
ValueCountFrequency (%)
공 13
34.2%
법 13
34.2%
메 4
 
10.5%
아 4
 
10.5%
디 4
 
10.5%

전화번호(처리장)
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct5
Distinct (%)13.5%
Missing0
Missing (%)0.0%
Memory size428.0 B
033-737-4695
33 
033-737-4265
 
1
070-7525-8670
 
1
033-743-6431
 
1
070-8667-1023
 
1

Length

Max length13
Median length12
Mean length12.054054
Min length12

Unique

Unique4 ?
Unique (%)10.8%

Sample

1st row033-737-4265
2nd row070-7525-8670
3rd row033-743-6431
4th row070-8667-1023
5th row033-737-4695

Common Values

ValueCountFrequency (%)
033-737-4695 33
89.2%
033-737-4265 1
 
2.7%
070-7525-8670 1
 
2.7%
033-743-6431 1
 
2.7%
070-8667-1023 1
 
2.7%

Length

2023-12-12T17:04:27.796500image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T17:04:27.941394image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
033-737-4695 33
89.2%
033-737-4265 1
 
2.7%
070-7525-8670 1
 
2.7%
033-743-6431 1
 
2.7%
070-8667-1023 1
 
2.7%

운영방법
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct3
Distinct (%)8.1%
Missing0
Missing (%)0.0%
Memory size428.0 B
부분위탁
33 
위탁
 
3
직영
 
1

Length

Max length4
Median length4
Mean length3.7837838
Min length2

Unique

Unique1 ?
Unique (%)2.7%

Sample

1st row직영
2nd row위탁
3rd row위탁
4th row위탁
5th row부분위탁

Common Values

ValueCountFrequency (%)
부분위탁 33
89.2%
위탁 3
 
8.1%
직영 1
 
2.7%

Length

2023-12-12T17:04:28.103138image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T17:04:28.250387image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
부분위탁 33
89.2%
위탁 3
 
8.1%
직영 1
 
2.7%

관리기관
Categorical

CONSTANT 

Distinct1
Distinct (%)2.7%
Missing0
Missing (%)0.0%
Memory size428.0 B
강원도 원주시청
37 

Length

Max length8
Median length8
Mean length8
Min length8

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row강원도 원주시청
2nd row강원도 원주시청
3rd row강원도 원주시청
4th row강원도 원주시청
5th row강원도 원주시청

Common Values

ValueCountFrequency (%)
강원도 원주시청 37
100.0%

Length

2023-12-12T17:04:28.416386image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T17:04:28.539966image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
강원도 37
50.0%
원주시청 37
50.0%

전화번호(관리기관)
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct3
Distinct (%)8.1%
Missing0
Missing (%)0.0%
Memory size428.0 B
033-737-4695
33 
033-737-4257
 
3
033-737-4265
 
1

Length

Max length12
Median length12
Mean length12
Min length12

Unique

Unique1 ?
Unique (%)2.7%

Sample

1st row033-737-4265
2nd row033-737-4257
3rd row033-737-4257
4th row033-737-4257
5th row033-737-4695

Common Values

ValueCountFrequency (%)
033-737-4695 33
89.2%
033-737-4257 3
 
8.1%
033-737-4265 1
 
2.7%

Length

2023-12-12T17:04:28.681994image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T17:04:28.826452image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
033-737-4695 33
89.2%
033-737-4257 3
 
8.1%
033-737-4265 1
 
2.7%

데이터기준일자
Date

CONSTANT 

Distinct1
Distinct (%)2.7%
Missing0
Missing (%)0.0%
Memory size428.0 B
Minimum2022-11-07 00:00:00
Maximum2022-11-07 00:00:00
2023-12-12T17:04:28.949044image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T17:04:29.078129image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

특이사항
Text

MISSING 

Distinct3
Distinct (%)75.0%
Missing33
Missing (%)89.2%
Memory size428.0 B
2023-12-12T17:04:29.222875image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length4
Median length3
Mean length3
Min length2

Characters and Unicode

Total characters12
Distinct characters7
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2 ?
Unique (%)50.0%

Sample

1st row증설
2nd row공법개선
3rd row공법개선
4th row신설
ValueCountFrequency (%)
공법개선 2
50.0%
증설 1
25.0%
신설 1
25.0%
2023-12-12T17:04:29.508440image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
공 2
16.7%
법 2
16.7%
개 2
16.7%
선 2
16.7%
설 2
16.7%
증 1
8.3%
신 1
8.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 12
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
공 2
16.7%
법 2
16.7%
개 2
16.7%
선 2
16.7%
설 2
16.7%
증 1
8.3%
신 1
8.3%

Most occurring scripts

ValueCountFrequency (%)
Hangul 12
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
공 2
16.7%
법 2
16.7%
개 2
16.7%
선 2
16.7%
설 2
16.7%
증 1
8.3%
신 1
8.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 12
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
공 2
16.7%
법 2
16.7%
개 2
16.7%
선 2
16.7%
설 2
16.7%
증 1
8.3%
신 1
8.3%

Interactions

2023-12-12T17:04:24.333955image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T17:04:29.605194image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
처리장명위치처리용량(톤-일)처리공법전화번호(처리장)운영방법전화번호(관리기관)특이사항
처리장명1.0001.0001.0001.0001.0001.0001.0001.000
위치1.0001.0001.0001.0001.0001.0001.0001.000
처리용량(톤-일)1.0001.0001.0001.0001.0001.0001.000NaN
처리공법1.0001.0001.0001.0001.0001.0001.0001.000
전화번호(처리장)1.0001.0001.0001.0001.0001.0001.000NaN
운영방법1.0001.0001.0001.0001.0001.0001.000NaN
전화번호(관리기관)1.0001.0001.0001.0001.0001.0001.000NaN
특이사항1.0001.000NaN1.000NaNNaNNaN1.000
2023-12-12T17:04:29.732057image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
전화번호(관리기관)전화번호(처리장)운영방법
전화번호(관리기관)1.0000.9701.000
전화번호(처리장)0.9701.0000.970
운영방법1.0000.9701.000
2023-12-12T17:04:29.827094image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
처리용량(톤-일)전화번호(처리장)운영방법전화번호(관리기관)
처리용량(톤-일)1.0000.9560.9860.986
전화번호(처리장)0.9561.0000.9700.970
운영방법0.9860.9701.0001.000
전화번호(관리기관)0.9860.9701.0001.000

Missing values

2023-12-12T17:04:24.514417image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T17:04:24.697534image/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

처리장명위치처리용량(톤-일)처리공법전화번호(처리장)운영방법관리기관전화번호(관리기관)데이터기준일자특이사항
0원주공공하수처리장강원도 원주시 호저로 227156000NPR공법033-737-4265직영강원도 원주시청033-737-42652022-11-07<NA>
1문막공공하수처리장강원도 원주시 문막읍 후용리 14937000KSBNR공법070-7525-8670위탁강원도 원주시청033-737-42572022-11-07<NA>
2흥업공공하수처리장강원도 원주시 흥업면 사제리 14466500Bio-SAC공법033-743-6431위탁강원도 원주시청033-737-42572022-11-07<NA>
3기업도시공공하수처리장강원도 원주시 지정면 기업도시로 24512600KSMBR공법070-8667-1023위탁강원도 원주시청033-737-42572022-11-07<NA>
4학곡 마을하수처리장강원도 원주시 소초면 학곡리 594450HANT공법033-737-4695부분위탁강원도 원주시청033-737-46952022-11-07증설
5백배미 마을하수처리장강원도 원주시 소초면 교항리 42-120DS메디아033-737-4695부분위탁강원도 원주시청033-737-46952022-11-07<NA>
6공산 마을하수처리장강원도 원주시 소초면 교항2리 977-2570DNR공법033-737-4695부분위탁강원도 원주시청033-737-46952022-11-07<NA>
7평장 마을하수처리장강원도 원주시 소초면 평장리 1338100DNR공법033-737-4695부분위탁강원도 원주시청033-737-46952022-11-07<NA>
8호저문화 마을하수처리장강원도 원주시 호저면 주산리 1426100DS메디아033-737-4695부분위탁강원도 원주시청033-737-46952022-11-07<NA>
9반계1리 마을하수처리장강원도 원주시 문막읍 반계1리 1670-130HANT공법033-737-4695부분위탁강원도 원주시청033-737-46952022-11-07<NA>
처리장명위치처리용량(톤-일)처리공법전화번호(처리장)운영방법관리기관전화번호(관리기관)데이터기준일자특이사항
27황산 마을하수처리장강원도 원주시 귀래면 주포리 234-340MBR 공법033-737-4695부분위탁강원도 원주시청033-737-46952022-11-07<NA>
28대송 마을하수처리장강원도 원주시 흥업면 대안3리 1856-330KM-SBR033-737-4695부분위탁강원도 원주시청033-737-46952022-11-07<NA>
29수련동 마을하수처리장강원도 원주시 신림면 용암3리 352-550KM-SBR033-737-4695부분위탁강원도 원주시청033-737-46952022-11-07공법개선
30선덕골 마을하수처리장강원도 원주시 신림면 용암3리 101425TBCR-II033-737-4695부분위탁강원도 원주시청033-737-46952022-11-07<NA>
31신림 마을하수처리장강원도 원주시 신림면 용암리 1244230IC-SBR+MBR033-737-4695부분위탁강원도 원주시청033-737-46952022-11-07공법개선
32황둔 마을하수처리장강원도 원주시 신림면 황둔리 859100BBF+SBR033-737-4695부분위탁강원도 원주시청033-737-46952022-11-07<NA>
33흥양 마을하수처리장강원도 원주시 소초면 흥양리 1772-26360KS-MBR033-737-4695부분위탁강원도 원주시청033-737-46952022-11-07<NA>
34성남 마을하수처리장강원도 원주시 신림면 성남리 산75-1160ESSA033-737-4695부분위탁강원도 원주시청033-737-46952022-11-07<NA>
35하다둔 마을하수처리장강원도 원주시 지정면 월송리 산107-15110IC-SBR033-737-4695부분위탁강원도 원주시청033-737-46952022-11-07<NA>
36칠봉 마을하수처리장강원도 원주시 호저면 매호리 194230KS-MBR033-737-4695부분위탁강원도 원주시청033-737-46952022-11-07신설