Overview

Dataset statistics

Number of variables47
Number of observations1253
Missing cells2485
Missing cells (%)4.2%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory473.7 KiB
Average record size in memory387.1 B

Variable types

Categorical29
Numeric10
Text4
Unsupported1
Boolean1
DateTime2

Dataset

Description공공데이터 제공 표준데이터 속성정보(허용값, 표현형식/단위 등)는 [공공데이터 제공 표준] 전문을 참고하시기 바랍니다.(공공데이터포털>정보공유>자료실) 전국 지하수 개발이용관정(허가공, 신고공, 기타공)의 현황 및 수질 정보
Author한국수자원공사
URLhttps://www.data.go.kr/data/15100057/standard.do

Alerts

적합여부 has constant value ""Constant
데이터기준일자 has constant value ""Constant
제공기관코드 has constant value ""Constant
제공기관명 has constant value ""Constant
관련법률 is highly imbalanced (92.6%)Imbalance
지하수용도 is highly imbalanced (85.4%)Imbalance
총대장균군 is highly imbalanced (70.7%)Imbalance
카드뮴 is highly imbalanced (62.8%)Imbalance
비소 is highly imbalanced (67.9%)Imbalance
납 is highly imbalanced (64.4%)Imbalance
트리클로로에틸렌 is highly imbalanced (69.2%)Imbalance
테트라클로로에틸렌 is highly imbalanced (64.8%)Imbalance
1.1.1-트리클로로에탄 is highly imbalanced (56.0%)Imbalance
톨루엔 is highly imbalanced (66.5%)Imbalance
소재지도로명주소 has 1253 (100.0%) missing valuesMissing
펌프설치심도 has 49 (3.9%) missing valuesMissing
취수계획량 has 193 (15.4%) missing valuesMissing
pH has 354 (28.3%) missing valuesMissing
질산성질소 has 297 (23.7%) missing valuesMissing
염소이온 has 339 (27.1%) missing valuesMissing
굴착직경 is highly skewed (γ1 = 20.23732614)Skewed
소재지도로명주소 is an unsupported type, check if it needs cleaning or further analysisUnsupported
펌프설치심도 has 186 (14.8%) zerosZeros
연사용량 has 37 (3.0%) zerosZeros

Reproduction

Analysis started2023-12-12 12:03:39.676930
Analysis finished2023-12-12 12:03:40.664473
Duration0.99 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

시설구분
Categorical

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size9.9 KiB
신고시설
1014 
허가시설
239 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
신고시설 1014
80.9%
허가시설 239
 
19.1%

Length

2023-12-12T21:03:40.726852image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T21:03:40.822564image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
신고시설 1014
80.9%
허가시설 239
 
19.1%

허가신고번호
Real number (ℝ)

Distinct1079
Distinct (%)86.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.0179971 × 109
Minimum1.1901 × 109
Maximum2.2020035 × 109
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size11.1 KiB
2023-12-12T21:03:40.960938image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1.1901 × 109
5-th percentile1.1999 × 109
Q12.1901002 × 109
median2.2 × 109
Q32.2007 × 109
95-th percentile2.2020001 × 109
Maximum2.2020035 × 109
Range1.0119035 × 109
Interquartile range (IQR)10599765

Descriptive statistics

Standard deviation3.8439875 × 108
Coefficient of variation (CV)0.19048529
Kurtosis0.77184261
Mean2.0179971 × 109
Median Absolute Deviation (MAD)1399998
Skewness-1.6642581
Sum2.5285503 × 1012
Variance1.477624 × 1017
MonotonicityNot monotonic
2023-12-12T21:03:41.112120image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1201500001 6
 
0.5%
1200400002 4
 
0.3%
2199400005 4
 
0.3%
2200600005 4
 
0.3%
1200200002 3
 
0.2%
2202000036 3
 
0.2%
2200600024 3
 
0.2%
2202000009 3
 
0.2%
2202000001 3
 
0.2%
2200900029 3
 
0.2%
Other values (1069) 1217
97.1%
ValueCountFrequency (%)
1190100001 1
0.1%
1190100002 2
0.2%
1190100009 1
0.1%
1190100011 1
0.1%
1190100012 1
0.1%
1190100014 2
0.2%
1190100016 1
0.1%
1190100018 1
0.1%
1190100021 1
0.1%
1190100025 1
0.1%
ValueCountFrequency (%)
2202003533 1
0.1%
2202003485 1
0.1%
2202003277 1
0.1%
2202003221 1
0.1%
2202000947 1
0.1%
2202000921 1
0.1%
2202000788 1
0.1%
2202000732 1
0.1%
2202000705 1
0.1%
2202000502 1
0.1%

관련법률
Categorical

IMBALANCE 

Distinct3
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size9.9 KiB
지하수법
1235 
기타법률
 
15
농어촌발전특별조치법
 
3

Length

Max length10
Median length4
Mean length4.0143655
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
지하수법 1235
98.6%
기타법률 15
 
1.2%
농어촌발전특별조치법 3
 
0.2%

Length

2023-12-12T21:03:41.288424image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T21:03:41.426864image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
지하수법 1235
98.6%
기타법률 15
 
1.2%
농어촌발전특별조치법 3
 
0.2%

담당부서
Categorical

Distinct49
Distinct (%)3.9%
Missing0
Missing (%)0.0%
Memory size9.9 KiB
건설과
210 
환경위생과
143 
치수과
91 
환경과
75 
상하수도과
70 
Other values (44)
664 

Length

Max length7
Median length6
Mean length4.2689545
Min length3

Unique

Unique7 ?
Unique (%)0.6%

Sample

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

Common Values

ValueCountFrequency (%)
건설과 210
16.8%
환경위생과 143
 
11.4%
치수과 91
 
7.3%
환경과 75
 
6.0%
상하수도과 70
 
5.6%
하천과 68
 
5.4%
생태환경과 62
 
4.9%
하수과 54
 
4.3%
상수도사업소 48
 
3.8%
상하수도사업소 43
 
3.4%
Other values (39) 389
31.0%

Length

2023-12-12T21:03:41.569784image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
건설과 210
16.8%
환경위생과 143
 
11.4%
치수과 91
 
7.3%
환경과 75
 
6.0%
상하수도과 70
 
5.6%
하천과 68
 
5.4%
생태환경과 62
 
4.9%
하수과 54
 
4.3%
상수도사업소 48
 
3.8%
상하수도사업소 43
 
3.4%
Other values (39) 389
31.0%

시도명
Categorical

Distinct15
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Memory size9.9 KiB
경상남도
213 
서울특별시
177 
부산광역시
129 
전라남도
128 
경기도
124 
Other values (10)
482 

Length

Max length5
Median length4
Mean length4.1939346
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
경상남도 213
17.0%
서울특별시 177
14.1%
부산광역시 129
10.3%
전라남도 128
10.2%
경기도 124
9.9%
강원도 81
 
6.5%
충청남도 81
 
6.5%
경상북도 79
 
6.3%
전라북도 75
 
6.0%
대전광역시 54
 
4.3%
Other values (5) 112
8.9%

Length

2023-12-12T21:03:41.715358image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
경상남도 213
17.0%
서울특별시 177
14.1%
부산광역시 129
10.3%
전라남도 128
10.2%
경기도 124
9.9%
강원도 81
 
6.5%
충청남도 81
 
6.5%
경상북도 79
 
6.3%
전라북도 75
 
6.0%
대전광역시 54
 
4.3%
Other values (5) 112
8.9%

시군구명
Text

Distinct145
Distinct (%)11.6%
Missing0
Missing (%)0.0%
Memory size9.9 KiB
2023-12-12T21:03:42.043602image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length4
Median length3
Mean length2.9209896
Min length2

Characters and Unicode

Total characters3660
Distinct characters112
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

Unique24 ?
Unique (%)1.9%

Sample

1st row가평군
2nd row가평군
3rd row가평군
4th row가평군
5th row가평군
ValueCountFrequency (%)
김해시 68
 
5.4%
북구 67
 
5.3%
담양군 62
 
4.9%
삼척시 41
 
3.3%
순천시 40
 
3.2%
서구 33
 
2.6%
임실군 33
 
2.6%
구미시 30
 
2.4%
동작구 25
 
2.0%
노원구 25
 
2.0%
Other values (135) 829
66.2%
2023-12-12T21:03:42.515049image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
시 494
 
13.5%
구 485
 
13.3%
군 326
 
8.9%
천 140
 
3.8%
양 124
 
3.4%
산 106
 
2.9%
해 104
 
2.8%
서 83
 
2.3%
동 82
 
2.2%
북 77
 
2.1%
Other values (102) 1639
44.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3660
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
시 494
 
13.5%
구 485
 
13.3%
군 326
 
8.9%
천 140
 
3.8%
양 124
 
3.4%
산 106
 
2.9%
해 104
 
2.8%
서 83
 
2.3%
동 82
 
2.2%
북 77
 
2.1%
Other values (102) 1639
44.8%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3660
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
시 494
 
13.5%
구 485
 
13.3%
군 326
 
8.9%
천 140
 
3.8%
양 124
 
3.4%
산 106
 
2.9%
해 104
 
2.8%
서 83
 
2.3%
동 82
 
2.2%
북 77
 
2.1%
Other values (102) 1639
44.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3660
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
시 494
 
13.5%
구 485
 
13.3%
군 326
 
8.9%
천 140
 
3.8%
양 124
 
3.4%
산 106
 
2.9%
해 104
 
2.8%
서 83
 
2.3%
동 82
 
2.2%
북 77
 
2.1%
Other values (102) 1639
44.8%

소재지지번주소
Text

Distinct1193
Distinct (%)95.2%
Missing0
Missing (%)0.0%
Memory size9.9 KiB
2023-12-12T21:03:42.954042image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length26
Median length23
Mean length19.107741
Min length12

Characters and Unicode

Total characters23942
Distinct characters273
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

Unique1150 ?
Unique (%)91.8%

Sample

1st row경기도 가평군 북면 도대리 695
2nd row경기도 가평군 북면 적목리 160-1
3rd row경기도 가평군 상면 행현리 591-2
4th row경기도 가평군 설악면 방일리 50
5th row경기도 가평군 설악면 송산리 699-1
ValueCountFrequency (%)
경상남도 213
 
3.8%
서울특별시 177
 
3.1%
부산광역시 129
 
2.3%
전라남도 128
 
2.3%
경기도 124
 
2.2%
산 95
 
1.7%
강원도 81
 
1.4%
충청남도 81
 
1.4%
경상북도 79
 
1.4%
전라북도 75
 
1.3%
Other values (2229) 4450
79.0%
2023-12-12T21:03:43.527224image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
4379
 
18.3%
시 947
 
4.0%
1 915
 
3.8%
동 884
 
3.7%
도 854
 
3.6%
- 695
 
2.9%
리 540
 
2.3%
2 538
 
2.2%
구 536
 
2.2%
남 503
 
2.1%
Other values (263) 13151
54.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 14357
60.0%
Decimal Number 4511
 
18.8%
Space Separator 4379
 
18.3%
Dash Punctuation 695
 
2.9%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
시 947
 
6.6%
동 884
 
6.2%
도 854
 
5.9%
리 540
 
3.8%
구 536
 
3.7%
남 503
 
3.5%
산 474
 
3.3%
경 439
 
3.1%
면 435
 
3.0%
광 367
 
2.6%
Other values (251) 8378
58.4%
Decimal Number
ValueCountFrequency (%)
1 915
20.3%
2 538
11.9%
3 496
11.0%
4 442
9.8%
5 438
9.7%
6 405
9.0%
7 353
 
7.8%
0 315
 
7.0%
8 309
 
6.8%
9 300
 
6.7%
Space Separator
ValueCountFrequency (%)
4379
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 695
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 14357
60.0%
Common 9585
40.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
시 947
 
6.6%
동 884
 
6.2%
도 854
 
5.9%
리 540
 
3.8%
구 536
 
3.7%
남 503
 
3.5%
산 474
 
3.3%
경 439
 
3.1%
면 435
 
3.0%
광 367
 
2.6%
Other values (251) 8378
58.4%
Common
ValueCountFrequency (%)
4379
45.7%
1 915
 
9.5%
- 695
 
7.3%
2 538
 
5.6%
3 496
 
5.2%
4 442
 
4.6%
5 438
 
4.6%
6 405
 
4.2%
7 353
 
3.7%
0 315
 
3.3%
Other values (2) 609
 
6.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 14357
60.0%
ASCII 9585
40.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
4379
45.7%
1 915
 
9.5%
- 695
 
7.3%
2 538
 
5.6%
3 496
 
5.2%
4 442
 
4.6%
5 438
 
4.6%
6 405
 
4.2%
7 353
 
3.7%
0 315
 
3.3%
Other values (2) 609
 
6.4%
Hangul
ValueCountFrequency (%)
시 947
 
6.6%
동 884
 
6.2%
도 854
 
5.9%
리 540
 
3.8%
구 536
 
3.7%
남 503
 
3.5%
산 474
 
3.3%
경 439
 
3.1%
면 435
 
3.0%
광 367
 
2.6%
Other values (251) 8378
58.4%

소재지도로명주소
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1253
Missing (%)100.0%
Memory size11.1 KiB

공공/사설구분
Categorical

Distinct3
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size9.9 KiB
<NA>
727 
공공
363 
사설
163 

Length

Max length4
Median length4
Mean length3.160415
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row<NA>
2nd row사설
3rd row<NA>
4th row사설
5th row사설

Common Values

ValueCountFrequency (%)
<NA> 727
58.0%
공공 363
29.0%
사설 163
 
13.0%

Length

2023-12-12T21:03:43.695137image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T21:03:43.833022image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 727
58.0%
공공 363
29.0%
사설 163
 
13.0%

충적/암반구분
Categorical

Distinct3
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size9.9 KiB
<NA>
811 
암반
364 
충적
 
78

Length

Max length4
Median length4
Mean length3.2944932
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row<NA>
2nd row암반
3rd row<NA>
4th row암반
5th row암반

Common Values

ValueCountFrequency (%)
<NA> 811
64.7%
암반 364
29.1%
충적 78
 
6.2%

Length

2023-12-12T21:03:44.265045image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T21:03:44.385989image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 811
64.7%
암반 364
29.1%
충적 78
 
6.2%

지하수용도
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size9.9 KiB
생활용
1227 
공업용
 
26

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
생활용 1227
97.9%
공업용 26
 
2.1%

Length

2023-12-12T21:03:44.495543image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T21:03:44.601352image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
생활용 1227
97.9%
공업용 26
 
2.1%

지하수세부용도
Categorical

Distinct3
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size9.9 KiB
기타등
725 
민방위용
310 
공동주택용
218 

Length

Max length5
Median length3
Mean length3.5953711
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row기타등
2nd row기타등
3rd row공동주택용
4th row기타등
5th row공동주택용

Common Values

ValueCountFrequency (%)
기타등 725
57.9%
민방위용 310
24.7%
공동주택용 218
 
17.4%

Length

2023-12-12T21:03:44.748968image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T21:03:44.871627image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
기타등 725
57.9%
민방위용 310
24.7%
공동주택용 218
 
17.4%

지하수음용여부
Boolean

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
True
693 
False
560 
ValueCountFrequency (%)
True 693
55.3%
False 560
44.7%
2023-12-12T21:03:45.018402image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

굴착심도
Real number (ℝ)

Distinct149
Distinct (%)11.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean124.43735
Minimum3
Maximum940
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size11.1 KiB
2023-12-12T21:03:45.213781image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3
5-th percentile50
Q190
median100
Q3150
95-th percentile220
Maximum940
Range937
Interquartile range (IQR)60

Descriptive statistics

Standard deviation76.51717
Coefficient of variation (CV)0.61490517
Kurtosis35.776796
Mean124.43735
Median Absolute Deviation (MAD)20
Skewness4.6725852
Sum155920
Variance5854.8773
MonotonicityNot monotonic
2023-12-12T21:03:45.395106image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
100 334
26.7%
150 161
12.8%
80 103
 
8.2%
120 96
 
7.7%
200 57
 
4.5%
70 41
 
3.3%
130 31
 
2.5%
90 22
 
1.8%
160 19
 
1.5%
50 18
 
1.4%
Other values (139) 371
29.6%
ValueCountFrequency (%)
3 2
 
0.2%
10 3
 
0.2%
12 2
 
0.2%
13 1
 
0.1%
15 1
 
0.1%
18 1
 
0.1%
20 9
0.7%
21 1
 
0.1%
23 2
 
0.2%
24 1
 
0.1%
ValueCountFrequency (%)
940 1
 
0.1%
900 1
 
0.1%
800 1
 
0.1%
770 1
 
0.1%
700 2
0.2%
600 2
0.2%
520 1
 
0.1%
500 3
0.2%
416 1
 
0.1%
400 2
0.2%

굴착직경
Real number (ℝ)

SKEWED 

Distinct31
Distinct (%)2.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean187.96329
Minimum4
Maximum3800
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size11.1 KiB
2023-12-12T21:03:45.574107image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum4
5-th percentile59
Q1150
median200
Q3200
95-th percentile250
Maximum3800
Range3796
Interquartile range (IQR)50

Descriptive statistics

Standard deviation128.72672
Coefficient of variation (CV)0.68485031
Kurtosis529.23628
Mean187.96329
Median Absolute Deviation (MAD)50
Skewness20.237326
Sum235518
Variance16570.567
MonotonicityNot monotonic
2023-12-12T21:03:45.731383image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=31)
ValueCountFrequency (%)
200 589
47.0%
150 363
29.0%
250 159
 
12.7%
50 24
 
1.9%
100 20
 
1.6%
350 11
 
0.9%
40 11
 
0.9%
300 10
 
0.8%
165 10
 
0.8%
32 9
 
0.7%
Other values (21) 47
 
3.8%
ValueCountFrequency (%)
4 1
 
0.1%
15 1
 
0.1%
16 1
 
0.1%
20 4
 
0.3%
25 3
 
0.2%
30 6
 
0.5%
32 9
 
0.7%
35 3
 
0.2%
40 11
0.9%
50 24
1.9%
ValueCountFrequency (%)
3800 1
 
0.1%
2000 1
 
0.1%
1200 1
 
0.1%
400 1
 
0.1%
350 11
 
0.9%
300 10
 
0.8%
250 159
 
12.7%
240 2
 
0.2%
200 589
47.0%
180 1
 
0.1%

펌프설치심도
Real number (ℝ)

MISSING  ZEROS 

Distinct86
Distinct (%)7.1%
Missing49
Missing (%)3.9%
Infinite0
Infinite (%)0.0%
Mean76.82309
Minimum0
Maximum700
Zeros186
Zeros (%)14.8%
Negative0
Negative (%)0.0%
Memory size11.1 KiB
2023-12-12T21:03:45.927763image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q150.75
median75
Q3100
95-th percentile150
Maximum700
Range700
Interquartile range (IQR)49.25

Descriptive statistics

Standard deviation59.464508
Coefficient of variation (CV)0.77404473
Kurtosis32.13872
Mean76.82309
Median Absolute Deviation (MAD)25
Skewness3.7030323
Sum92495
Variance3536.0277
MonotonicityNot monotonic
2023-12-12T21:03:46.082741image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 186
14.8%
80 145
11.6%
60 136
10.9%
100 98
 
7.8%
70 94
 
7.5%
90 82
 
6.5%
120 78
 
6.2%
50 51
 
4.1%
72 36
 
2.9%
150 33
 
2.6%
Other values (76) 265
21.1%
(Missing) 49
 
3.9%
ValueCountFrequency (%)
0 186
14.8%
3 1
 
0.1%
9 1
 
0.1%
10 3
 
0.2%
13 1
 
0.1%
18 1
 
0.1%
19 1
 
0.1%
20 2
 
0.2%
21 1
 
0.1%
22 2
 
0.2%
ValueCountFrequency (%)
700 2
0.2%
670 1
 
0.1%
480 2
0.2%
400 2
0.2%
300 3
0.2%
250 2
0.2%
240 2
0.2%
230 4
0.3%
220 1
 
0.1%
210 1
 
0.1%

취수계획량
Real number (ℝ)

MISSING 

Distinct82
Distinct (%)7.7%
Missing193
Missing (%)15.4%
Infinite0
Infinite (%)0.0%
Mean87.70283
Minimum1
Maximum2700
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size11.1 KiB
2023-12-12T21:03:46.269502image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile10
Q140
median70
Q395.75
95-th percentile200
Maximum2700
Range2699
Interquartile range (IQR)55.75

Descriptive statistics

Standard deviation135.29345
Coefficient of variation (CV)1.5426349
Kurtosis185.88091
Mean87.70283
Median Absolute Deviation (MAD)30
Skewness11.778812
Sum92965
Variance18304.317
MonotonicityNot monotonic
2023-12-12T21:03:46.444739image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
80 152
12.1%
50 119
9.5%
100 102
8.1%
30 98
 
7.8%
90 83
 
6.6%
70 72
 
5.7%
150 53
 
4.2%
60 53
 
4.2%
10 43
 
3.4%
40 38
 
3.0%
Other values (72) 247
19.7%
(Missing) 193
15.4%
ValueCountFrequency (%)
1 5
 
0.4%
2 5
 
0.4%
3 6
 
0.5%
4 2
 
0.2%
5 20
1.6%
6 1
 
0.1%
8 2
 
0.2%
10 43
3.4%
15 3
 
0.2%
18 1
 
0.1%
ValueCountFrequency (%)
2700 1
 
0.1%
1850 1
 
0.1%
1800 1
 
0.1%
1000 1
 
0.1%
900 2
0.2%
600 1
 
0.1%
500 4
0.3%
410 1
 
0.1%
400 1
 
0.1%
380 1
 
0.1%

양수능력
Real number (ℝ)

Distinct185
Distinct (%)14.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean122.28412
Minimum10
Maximum3651
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size11.1 KiB
2023-12-12T21:03:46.615006image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum10
5-th percentile32
Q165
median90
Q3120
95-th percentile300
Maximum3651
Range3641
Interquartile range (IQR)55

Descriptive statistics

Standard deviation188.46315
Coefficient of variation (CV)1.5411907
Kurtosis175.0657
Mean122.28412
Median Absolute Deviation (MAD)25
Skewness11.651556
Sum153222
Variance35518.359
MonotonicityNot monotonic
2023-12-12T21:03:46.762915image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
90 136
 
10.9%
50 91
 
7.3%
80 90
 
7.2%
100 78
 
6.2%
70 57
 
4.5%
60 46
 
3.7%
30 42
 
3.4%
150 40
 
3.2%
40 36
 
2.9%
200 32
 
2.6%
Other values (175) 605
48.3%
ValueCountFrequency (%)
10 1
 
0.1%
18 1
 
0.1%
20 4
 
0.3%
22 1
 
0.1%
25 6
 
0.5%
28 3
 
0.2%
29 3
 
0.2%
30 42
3.4%
31 1
 
0.1%
32 3
 
0.2%
ValueCountFrequency (%)
3651 1
0.1%
2700 1
0.1%
2600 2
0.2%
1440 1
0.1%
1000 1
0.1%
900 2
0.2%
778 1
0.1%
730 1
0.1%
700 1
0.1%
691 1
0.1%

동력장치마력(마력)
Real number (ℝ)

Distinct14
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.9193935
Minimum1
Maximum102
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size11.1 KiB
2023-12-12T21:03:46.898583image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q35
95-th percentile10
Maximum102
Range101
Interquartile range (IQR)3

Descriptive statistics

Standard deviation5.5435294
Coefficient of variation (CV)1.4143845
Kurtosis99.233961
Mean3.9193935
Median Absolute Deviation (MAD)1
Skewness7.9875137
Sum4911
Variance30.730718
MonotonicityNot monotonic
2023-12-12T21:03:47.015708image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
3 364
29.1%
2 317
25.3%
1 228
18.2%
5 204
16.3%
8 60
 
4.8%
10 30
 
2.4%
15 19
 
1.5%
20 7
 
0.6%
30 7
 
0.6%
4 6
 
0.5%
Other values (4) 11
 
0.9%
ValueCountFrequency (%)
1 228
18.2%
2 317
25.3%
3 364
29.1%
4 6
 
0.5%
5 204
16.3%
6 1
 
0.1%
8 60
 
4.8%
10 30
 
2.4%
15 19
 
1.5%
20 7
 
0.6%
ValueCountFrequency (%)
102 1
 
0.1%
50 3
 
0.2%
40 6
 
0.5%
30 7
 
0.6%
20 7
 
0.6%
15 19
 
1.5%
10 30
 
2.4%
8 60
 
4.8%
6 1
 
0.1%
5 204
16.3%

토출관직경
Real number (ℝ)

Distinct27
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean37.673583
Minimum4
Maximum640
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size11.1 KiB
2023-12-12T21:03:47.167021image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum4
5-th percentile25
Q130
median35
Q340
95-th percentile50
Maximum640
Range636
Interquartile range (IQR)10

Descriptive statistics

Standard deviation21.741722
Coefficient of variation (CV)0.57710788
Kurtosis475.08264
Mean37.673583
Median Absolute Deviation (MAD)5
Skewness17.929515
Sum47205
Variance472.70247
MonotonicityNot monotonic
2023-12-12T21:03:47.333361image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=27)
ValueCountFrequency (%)
40 368
29.4%
32 299
23.9%
50 210
16.8%
25 201
16.0%
30 69
 
5.5%
20 33
 
2.6%
65 21
 
1.7%
15 11
 
0.9%
35 8
 
0.6%
80 6
 
0.5%
Other values (17) 27
 
2.2%
ValueCountFrequency (%)
4 1
 
0.1%
10 1
 
0.1%
13 2
 
0.2%
15 11
 
0.9%
16 5
 
0.4%
18 1
 
0.1%
20 33
 
2.6%
24 1
 
0.1%
25 201
16.0%
28 1
 
0.1%
ValueCountFrequency (%)
640 1
 
0.1%
200 1
 
0.1%
150 4
 
0.3%
120 1
 
0.1%
100 3
 
0.2%
96 1
 
0.1%
80 6
 
0.5%
75 1
 
0.1%
65 21
1.7%
54 1
 
0.1%

연사용량
Real number (ℝ)

ZEROS 

Distinct409
Distinct (%)32.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean329.2921
Minimum0
Maximum988
Zeros37
Zeros (%)3.0%
Negative0
Negative (%)0.0%
Memory size11.1 KiB
2023-12-12T21:03:47.485175image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile36
Q1148
median266
Q3455
95-th percentile842.2
Maximum988
Range988
Interquartile range (IQR)307

Descriptive statistics

Standard deviation229.36086
Coefficient of variation (CV)0.69652706
Kurtosis0.20493999
Mean329.2921
Median Absolute Deviation (MAD)134
Skewness0.94434371
Sum412603
Variance52606.403
MonotonicityNot monotonic
2023-12-12T21:03:47.653159image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 37
 
3.0%
182 34
 
2.7%
365 33
 
2.6%
292 25
 
2.0%
360 21
 
1.7%
109 20
 
1.6%
108 20
 
1.6%
262 18
 
1.4%
180 18
 
1.4%
220 17
 
1.4%
Other values (399) 1010
80.6%
ValueCountFrequency (%)
0 37
3.0%
1 7
 
0.6%
3 2
 
0.2%
7 1
 
0.1%
9 1
 
0.1%
10 1
 
0.1%
12 3
 
0.2%
18 4
 
0.3%
20 1
 
0.1%
23 1
 
0.1%
ValueCountFrequency (%)
988 1
 
0.1%
973 1
 
0.1%
972 1
 
0.1%
953 1
 
0.1%
950 1
 
0.1%
949 3
0.2%
948 1
 
0.1%
938 1
 
0.1%
930 1
 
0.1%
927 1
 
0.1%

개발일자
Date

Distinct923
Distinct (%)73.7%
Missing0
Missing (%)0.0%
Memory size9.9 KiB
Minimum1901-01-01 00:00:00
Maximum2020-12-31 00:00:00
2023-12-12T21:03:47.820605image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T21:03:48.022037image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

pH
Real number (ℝ)

MISSING 

Distinct31
Distinct (%)3.4%
Missing354
Missing (%)28.3%
Infinite0
Infinite (%)0.0%
Mean7.1333704
Minimum5.3
Maximum9.1
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size11.1 KiB
2023-12-12T21:03:48.190081image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum5.3
5-th percentile6.3
Q16.8
median7.1
Q37.5
95-th percentile8
Maximum9.1
Range3.8
Interquartile range (IQR)0.7

Descriptive statistics

Standard deviation0.50328419
Coefficient of variation (CV)0.070553492
Kurtosis0.11552683
Mean7.1333704
Median Absolute Deviation (MAD)0.3
Skewness0.11909639
Sum6412.9
Variance0.25329498
MonotonicityNot monotonic
2023-12-12T21:03:48.335691image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=31)
ValueCountFrequency (%)
7.0 85
 
6.8%
7.2 79
 
6.3%
6.9 66
 
5.3%
7.1 66
 
5.3%
6.8 61
 
4.9%
7.3 60
 
4.8%
7.4 58
 
4.6%
7.6 51
 
4.1%
6.7 50
 
4.0%
7.8 42
 
3.4%
Other values (21) 281
22.4%
(Missing) 354
28.3%
ValueCountFrequency (%)
5.3 1
 
0.1%
5.7 1
 
0.1%
5.8 1
 
0.1%
5.9 2
 
0.2%
6.0 8
 
0.6%
6.1 6
 
0.5%
6.2 11
 
0.9%
6.3 17
1.4%
6.4 32
2.6%
6.5 32
2.6%
ValueCountFrequency (%)
9.1 1
 
0.1%
8.5 3
 
0.2%
8.4 5
 
0.4%
8.3 8
 
0.6%
8.2 4
 
0.3%
8.1 11
 
0.9%
8.0 15
 
1.2%
7.9 24
1.9%
7.8 42
3.4%
7.7 26
2.1%

총대장균군
Categorical

IMBALANCE 

Distinct11
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size9.9 KiB
<NA>
841 
불검출
399 
5
 
2
2
 
2
검출
 
2
Other values (6)
 
7

Length

Max length4
Median length4
Mean length3.6584198
Min length1

Unique

Unique5 ?
Unique (%)0.4%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 841
67.1%
불검출 399
31.8%
5 2
 
0.2%
2 2
 
0.2%
검출 2
 
0.2%
3 2
 
0.2%
2500 1
 
0.1%
1 1
 
0.1%
620 1
 
0.1%
63 1
 
0.1%

Length

2023-12-12T21:03:48.515346image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
na 841
67.1%
불검출 399
31.8%
5 2
 
0.2%
2 2
 
0.2%
검출 2
 
0.2%
3 2
 
0.2%
2500 1
 
0.1%
1 1
 
0.1%
620 1
 
0.1%
63 1
 
0.1%

질산성질소
Text

MISSING 

Distinct131
Distinct (%)13.7%
Missing297
Missing (%)23.7%
Memory size9.9 KiB
2023-12-12T21:03:48.847684image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length4
Median length3
Mean length2.8190377
Min length1

Characters and Unicode

Total characters2695
Distinct characters14
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

Unique34 ?
Unique (%)3.6%

Sample

1st row8.2
2nd row0.6
3rd row4.1
4th row5
5th row6
ValueCountFrequency (%)
불검출 36
 
3.8%
1 31
 
3.2%
1.2 30
 
3.1%
0.7 27
 
2.8%
0.3 27
 
2.8%
0.6 25
 
2.6%
1.1 23
 
2.4%
1.4 23
 
2.4%
0.9 21
 
2.2%
2.4 17
 
1.8%
Other values (121) 696
72.8%
2023-12-12T21:03:49.331975image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
. 812
30.1%
1 329
12.2%
2 236
 
8.8%
3 204
 
7.6%
0 175
 
6.5%
4 174
 
6.5%
5 153
 
5.7%
6 145
 
5.4%
7 137
 
5.1%
9 111
 
4.1%
Other values (4) 219
 
8.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1775
65.9%
Other Punctuation 812
30.1%
Other Letter 108
 
4.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 329
18.5%
2 236
13.3%
3 204
11.5%
0 175
9.9%
4 174
9.8%
5 153
8.6%
6 145
8.2%
7 137
7.7%
9 111
 
6.3%
8 111
 
6.3%
Other Letter
ValueCountFrequency (%)
불 36
33.3%
검 36
33.3%
출 36
33.3%
Other Punctuation
ValueCountFrequency (%)
. 812
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 2587
96.0%
Hangul 108
 
4.0%

Most frequent character per script

Common
ValueCountFrequency (%)
. 812
31.4%
1 329
12.7%
2 236
 
9.1%
3 204
 
7.9%
0 175
 
6.8%
4 174
 
6.7%
5 153
 
5.9%
6 145
 
5.6%
7 137
 
5.3%
9 111
 
4.3%
Hangul
ValueCountFrequency (%)
불 36
33.3%
검 36
33.3%
출 36
33.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2587
96.0%
Hangul 108
 
4.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 812
31.4%
1 329
12.7%
2 236
 
9.1%
3 204
 
7.9%
0 175
 
6.8%
4 174
 
6.7%
5 153
 
5.9%
6 145
 
5.6%
7 137
 
5.3%
9 111
 
4.3%
Hangul
ValueCountFrequency (%)
불 36
33.3%
검 36
33.3%
출 36
33.3%

염소이온
Text

MISSING 

Distinct453
Distinct (%)49.6%
Missing339
Missing (%)27.1%
Memory size9.9 KiB
2023-12-12T21:03:49.858745image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length5
Median length4
Mean length3.4989059
Min length1

Characters and Unicode

Total characters3198
Distinct characters14
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

Unique244 ?
Unique (%)26.7%

Sample

1st row86.4
2nd row48.9
3rd row66
4th row26.6
5th row32.8
ValueCountFrequency (%)
불검출 15
 
1.6%
12.4 7
 
0.8%
8.6 7
 
0.8%
15.4 7
 
0.8%
6.1 7
 
0.8%
5.6 7
 
0.8%
12.2 7
 
0.8%
5.8 6
 
0.7%
4.8 6
 
0.7%
5.1 6
 
0.7%
Other values (443) 839
91.8%
2023-12-12T21:03:50.505988image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
. 799
25.0%
1 420
13.1%
2 305
 
9.5%
5 251
 
7.8%
3 242
 
7.6%
4 237
 
7.4%
6 233
 
7.3%
8 217
 
6.8%
7 187
 
5.8%
9 171
 
5.3%
Other values (4) 136
 
4.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2354
73.6%
Other Punctuation 799
 
25.0%
Other Letter 45
 
1.4%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 420
17.8%
2 305
13.0%
5 251
10.7%
3 242
10.3%
4 237
10.1%
6 233
9.9%
8 217
9.2%
7 187
7.9%
9 171
7.3%
0 91
 
3.9%
Other Letter
ValueCountFrequency (%)
불 15
33.3%
검 15
33.3%
출 15
33.3%
Other Punctuation
ValueCountFrequency (%)
. 799
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 3153
98.6%
Hangul 45
 
1.4%

Most frequent character per script

Common
ValueCountFrequency (%)
. 799
25.3%
1 420
13.3%
2 305
 
9.7%
5 251
 
8.0%
3 242
 
7.7%
4 237
 
7.5%
6 233
 
7.4%
8 217
 
6.9%
7 187
 
5.9%
9 171
 
5.4%
Hangul
ValueCountFrequency (%)
불 15
33.3%
검 15
33.3%
출 15
33.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3153
98.6%
Hangul 45
 
1.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 799
25.3%
1 420
13.3%
2 305
 
9.7%
5 251
 
8.0%
3 242
 
7.7%
4 237
 
7.5%
6 233
 
7.4%
8 217
 
6.9%
7 187
 
5.9%
9 171
 
5.4%
Hangul
ValueCountFrequency (%)
불 15
33.3%
검 15
33.3%
출 15
33.3%

카드뮴
Categorical

IMBALANCE 

Distinct7
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size9.9 KiB
불검출
677 
<NA>
570 
0.009
 
2
0.02
 
1
0.01
 
1
Other values (2)
 
2

Length

Max length5
Median length3
Mean length3.4612929
Min length3

Unique

Unique4 ?
Unique (%)0.3%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
불검출 677
54.0%
<NA> 570
45.5%
0.009 2
 
0.2%
0.02 1
 
0.1%
0.01 1
 
0.1%
0.3 1
 
0.1%
0.002 1
 
0.1%

Length

2023-12-12T21:03:50.681066image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T21:03:50.854391image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
불검출 677
54.0%
na 570
45.5%
0.009 2
 
0.2%
0.02 1
 
0.1%
0.01 1
 
0.1%
0.3 1
 
0.1%
0.002 1
 
0.1%

비소
Categorical

IMBALANCE 

Distinct15
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Memory size9.9 KiB
불검출
649 
<NA>
567 
0.006
 
9
0.007
 
8
0.008
 
5
Other values (10)
 
15

Length

Max length5
Median length3
Mean length3.5067837
Min length3

Unique

Unique7 ?
Unique (%)0.6%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
불검출 649
51.8%
<NA> 567
45.3%
0.006 9
 
0.7%
0.007 8
 
0.6%
0.008 5
 
0.4%
0.01 4
 
0.3%
0.005 2
 
0.2%
0.016 2
 
0.2%
0.028 1
 
0.1%
0.033 1
 
0.1%
Other values (5) 5
 
0.4%

Length

2023-12-12T21:03:51.031264image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
불검출 649
51.8%
na 567
45.3%
0.006 9
 
0.7%
0.007 8
 
0.6%
0.008 5
 
0.4%
0.01 4
 
0.3%
0.005 2
 
0.2%
0.016 2
 
0.2%
0.028 1
 
0.1%
0.033 1
 
0.1%
Other values (5) 5
 
0.4%

시안
Categorical

Distinct4
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size9.9 KiB
불검출
671 
<NA>
580 
0.06
 
1
0.01
 
1

Length

Max length4
Median length3
Mean length3.4644852
Min length3

Unique

Unique2 ?
Unique (%)0.2%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
불검출 671
53.6%
<NA> 580
46.3%
0.06 1
 
0.1%
0.01 1
 
0.1%

Length

2023-12-12T21:03:51.173284image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T21:03:51.281353image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
불검출 671
53.6%
na 580
46.3%
0.06 1
 
0.1%
0.01 1
 
0.1%

수은
Categorical

Distinct3
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size9.9 KiB
불검출
674 
<NA>
578 
0.001
 
1

Length

Max length5
Median length3
Mean length3.4628891
Min length3

Unique

Unique1 ?
Unique (%)0.1%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
불검출 674
53.8%
<NA> 578
46.1%
0.001 1
 
0.1%

Length

2023-12-12T21:03:51.452888image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T21:03:51.610372image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
불검출 674
53.8%
na 578
46.1%
0.001 1
 
0.1%

다이아지논
Categorical

Distinct4
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size9.9 KiB
불검출
671 
<NA>
579 
0.0031
 
2
0.001
 
1

Length

Max length6
Median length3
Mean length3.4684757
Min length3

Unique

Unique1 ?
Unique (%)0.1%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
불검출 671
53.6%
<NA> 579
46.2%
0.0031 2
 
0.2%
0.001 1
 
0.1%

Length

2023-12-12T21:03:51.734804image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T21:03:52.214485image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
불검출 671
53.6%
na 579
46.2%
0.0031 2
 
0.2%
0.001 1
 
0.1%

파라티온
Categorical

Distinct4
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size9.9 KiB
불검출
670 
<NA>
581 
0.003
 
1
0.078
 
1

Length

Max length5
Median length3
Mean length3.4668795
Min length3

Unique

Unique2 ?
Unique (%)0.2%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
불검출 670
53.5%
<NA> 581
46.4%
0.003 1
 
0.1%
0.078 1
 
0.1%

Length

2023-12-12T21:03:52.392259image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T21:03:52.504408image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
불검출 670
53.5%
na 581
46.4%
0.003 1
 
0.1%
0.078 1
 
0.1%

페놀
Categorical

Distinct4
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size9.9 KiB
불검출
673 
<NA>
578 
0.02
 
1
0.001
 
1

Length

Max length5
Median length3
Mean length3.4636872
Min length3

Unique

Unique2 ?
Unique (%)0.2%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
불검출 673
53.7%
<NA> 578
46.1%
0.02 1
 
0.1%
0.001 1
 
0.1%

Length

2023-12-12T21:03:52.627666image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T21:03:52.770483image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
불검출 673
53.7%
na 578
46.1%
0.02 1
 
0.1%
0.001 1
 
0.1%

납
Categorical

IMBALANCE 

Distinct9
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size9.9 KiB
불검출
657 
<NA>
577 
0.002
 
9
0.005
 
3
0.006
 
2
Other values (4)
 
5

Length

Max length5
Median length3
Mean length3.4900239
Min length3

Unique

Unique3 ?
Unique (%)0.2%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
불검출 657
52.4%
<NA> 577
46.0%
0.002 9
 
0.7%
0.005 3
 
0.2%
0.006 2
 
0.2%
0.007 2
 
0.2%
0.054 1
 
0.1%
0.008 1
 
0.1%
0.71 1
 
0.1%

Length

2023-12-12T21:03:52.913274image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T21:03:53.094007image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
불검출 657
52.4%
na 577
46.0%
0.002 9
 
0.7%
0.005 3
 
0.2%
0.006 2
 
0.2%
0.007 2
 
0.2%
0.054 1
 
0.1%
0.008 1
 
0.1%
0.71 1
 
0.1%

크롬
Categorical

Distinct4
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size9.9 KiB
<NA>
852 
불검출
353 
0
 
47
0.01
 
1

Length

Max length4
Median length4
Mean length3.6057462
Min length1

Unique

Unique1 ?
Unique (%)0.1%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 852
68.0%
불검출 353
28.2%
0 47
 
3.8%
0.01 1
 
0.1%

Length

2023-12-12T21:03:53.290265image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T21:03:53.438605image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 852
68.0%
불검출 353
28.2%
0 47
 
3.8%
0.01 1
 
0.1%

트리클로로에틸렌
Categorical

IMBALANCE 

Distinct17
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Memory size9.9 KiB
불검출
644 
<NA>
573 
0.001
 
6
0.006
 
6
0.003
 
5
Other values (12)
 
19

Length

Max length5
Median length3
Mean length3.5123703
Min length3

Unique

Unique7 ?
Unique (%)0.6%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
불검출 644
51.4%
<NA> 573
45.7%
0.001 6
 
0.5%
0.006 6
 
0.5%
0.003 5
 
0.4%
0.002 4
 
0.3%
0.008 2
 
0.2%
0.011 2
 
0.2%
0.007 2
 
0.2%
0.01 2
 
0.2%
Other values (7) 7
 
0.6%

Length

2023-12-12T21:03:53.594345image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
불검출 644
51.4%
na 573
45.7%
0.001 6
 
0.5%
0.006 6
 
0.5%
0.003 5
 
0.4%
0.002 4
 
0.3%
0.01 2
 
0.2%
0.007 2
 
0.2%
0.011 2
 
0.2%
0.008 2
 
0.2%
Other values (7) 7
 
0.6%

테트라클로로에틸렌
Categorical

IMBALANCE 

Distinct8
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size9.9 KiB
불검출
668 
<NA>
578 
0.008
 
2
0.002
 
1
0.001
 
1
Other values (3)
 
3

Length

Max length5
Median length3
Mean length3.4724661
Min length3

Unique

Unique5 ?
Unique (%)0.4%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
불검출 668
53.3%
<NA> 578
46.1%
0.008 2
 
0.2%
0.002 1
 
0.1%
0.001 1
 
0.1%
0.018 1
 
0.1%
0.007 1
 
0.1%
0.005 1
 
0.1%

Length

2023-12-12T21:03:53.788899image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T21:03:53.967301image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
불검출 668
53.3%
na 578
46.1%
0.008 2
 
0.2%
0.002 1
 
0.1%
0.001 1
 
0.1%
0.018 1
 
0.1%
0.007 1
 
0.1%
0.005 1
 
0.1%

1.1.1-트리클로로에탄
Categorical

IMBALANCE 

Distinct5
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size9.9 KiB
불검출
671 
<NA>
579 
0.007
 
1
0.002
 
1
0.001
 
1

Length

Max length5
Median length3
Mean length3.4668795
Min length3

Unique

Unique3 ?
Unique (%)0.2%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
불검출 671
53.6%
<NA> 579
46.2%
0.007 1
 
0.1%
0.002 1
 
0.1%
0.001 1
 
0.1%

Length

2023-12-12T21:03:54.270605image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T21:03:54.441175image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
불검출 671
53.6%
na 579
46.2%
0.007 1
 
0.1%
0.002 1
 
0.1%
0.001 1
 
0.1%

벤젠
Categorical

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size9.9 KiB
불검출
650 
<NA>
603 

Length

Max length4
Median length3
Mean length3.481245
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
불검출 650
51.9%
<NA> 603
48.1%

Length

2023-12-12T21:03:54.583749image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T21:03:54.700908image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
불검출 650
51.9%
na 603
48.1%

톨루엔
Categorical

IMBALANCE 

Distinct12
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size9.9 KiB
불검출
628 
<NA>
596 
0.002
 
9
0.003
 
5
0.005
 
4
Other values (7)
 
11

Length

Max length5
Median length3
Mean length3.5211492
Min length3

Unique

Unique4 ?
Unique (%)0.3%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
불검출 628
50.1%
<NA> 596
47.6%
0.002 9
 
0.7%
0.003 5
 
0.4%
0.005 4
 
0.3%
0.006 3
 
0.2%
0.004 2
 
0.2%
0.001 2
 
0.2%
0.02 1
 
0.1%
0.013 1
 
0.1%
Other values (2) 2
 
0.2%

Length

2023-12-12T21:03:54.852543image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
불검출 628
50.1%
na 596
47.6%
0.002 9
 
0.7%
0.003 5
 
0.4%
0.005 4
 
0.3%
0.006 3
 
0.2%
0.004 2
 
0.2%
0.001 2
 
0.2%
0.02 1
 
0.1%
0.013 1
 
0.1%
Other values (2) 2
 
0.2%

에틸벤젠
Categorical

Distinct4
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size9.9 KiB
불검출
646 
<NA>
604 
0.002
 
2
0.003
 
1

Length

Max length5
Median length3
Mean length3.4868316
Min length3

Unique

Unique1 ?
Unique (%)0.1%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
불검출 646
51.6%
<NA> 604
48.2%
0.002 2
 
0.2%
0.003 1
 
0.1%

Length

2023-12-12T21:03:55.041103image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T21:03:55.190005image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
불검출 646
51.6%
na 604
48.2%
0.002 2
 
0.2%
0.003 1
 
0.1%

크실렌
Categorical

Distinct4
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size9.9 KiB
불검출
647 
<NA>
603 
0.003
 
2
0.016
 
1

Length

Max length5
Median length3
Mean length3.4860335
Min length3

Unique

Unique1 ?
Unique (%)0.1%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
불검출 647
51.6%
<NA> 603
48.1%
0.003 2
 
0.2%
0.016 1
 
0.1%

Length

2023-12-12T21:03:55.335788image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T21:03:55.483824image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
불검출 647
51.6%
na 603
48.1%
0.003 2
 
0.2%
0.016 1
 
0.1%

적합여부
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size9.9 KiB
적합
1253 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
적합 1253
100.0%

Length

2023-12-12T21:03:55.630406image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T21:03:55.751921image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
적합 1253
100.0%

채수일자
Date

Distinct237
Distinct (%)18.9%
Missing0
Missing (%)0.0%
Memory size9.9 KiB
Minimum2020-01-02 00:00:00
Maximum2020-12-31 00:00:00
2023-12-12T21:03:55.876746image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T21:03:56.081218image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

데이터기준일자
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size9.9 KiB
2022-05-31
1253 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2022-05-31
2nd row2022-05-31
3rd row2022-05-31
4th row2022-05-31
5th row2022-05-31

Common Values

ValueCountFrequency (%)
2022-05-31 1253
100.0%

Length

2023-12-12T21:03:56.250331image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T21:03:56.367708image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2022-05-31 1253
100.0%

제공기관코드
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size9.9 KiB
B500001
1253 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowB500001
2nd rowB500001
3rd rowB500001
4th rowB500001
5th rowB500001

Common Values

ValueCountFrequency (%)
B500001 1253
100.0%

Length

2023-12-12T21:03:56.489352image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T21:03:56.600559image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
b500001 1253
100.0%

제공기관명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size9.9 KiB
한국수자원공사
1253 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
한국수자원공사 1253
100.0%

Length

2023-12-12T21:03:56.738904image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T21:03:56.869347image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
한국수자원공사 1253
100.0%

Sample

시설구분허가신고번호관련법률담당부서시도명시군구명소재지지번주소소재지도로명주소공공/사설구분충적/암반구분지하수용도지하수세부용도지하수음용여부굴착심도굴착직경펌프설치심도취수계획량양수능력동력장치마력(마력)토출관직경연사용량개발일자pH총대장균군질산성질소염소이온카드뮴비소시안수은다이아지논파라티온페놀납크롬트리클로로에틸렌테트라클로로에틸렌1.1.1-트리클로로에탄벤젠톨루엔에틸벤젠크실렌적합여부채수일자데이터기준일자제공기관코드제공기관명
0신고시설2202000443지하수법상수도사업소경기도가평군경기도 가평군 북면 도대리 695<NA><NA><NA>생활용기타등Y801507650903209272020-11-26<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>적합2020-10-052022-05-31B500001한국수자원공사
1신고시설2200400206지하수법상수도사업소경기도가평군경기도 가평군 북면 적목리 160-1<NA>사설암반생활용기타등Y1001507020681254742004-08-18<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>적합2020-09-082022-05-31B500001한국수자원공사
2신고시설2200900392지하수법상수도사업소경기도가평군경기도 가평군 상면 행현리 591-2<NA><NA><NA>생활용공동주택용Y1001509010281202662009-12-11<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>적합2020-02-102022-05-31B500001한국수자원공사
3신고시설2200000066지하수법상수도사업소경기도가평군경기도 가평군 설악면 방일리 50<NA>사설암반생활용기타등Y1001656550802324742001-02-28<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>적합2020-05-272022-05-31B500001한국수자원공사
4신고시설2200400105지하수법상수도사업소경기도가평군경기도 가평군 설악면 송산리 699-1<NA>사설암반생활용공동주택용Y30020024080903402662004-06-15<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>적합2020-01-282022-05-31B500001한국수자원공사
5신고시설2202000347지하수법상수도사업소경기도가평군경기도 가평군 조종면 운악리 산 162-15<NA><NA><NA>생활용기타등N25016520010223201372020-11-23<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>적합2020-10-262022-05-31B500001한국수자원공사
6신고시설2200100330지하수법상수도사업소경기도가평군경기도 가평군 청평면 고성리 764-9<NA>사설암반생활용공동주택용N1001507230802322662001-09-25<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>적합2020-02-172022-05-31B500001한국수자원공사
7신고시설2201700014지하수법맑은환경과서울특별시강동구서울특별시 강동구 강일동 51-1<NA><NA><NA>생활용민방위용N50150405321251012018-05-256.5<NA>8.286.4불검출불검출불검출불검출불검출불검출불검출불검출불검출불검출불검출불검출불검출불검출불검출불검출적합2020-09-242022-05-31B500001한국수자원공사
8신고시설2200800006지하수법맑은환경과서울특별시강동구서울특별시 강동구 강일동 527-2<NA>사설암반생활용민방위용N1001506030501253462008-05-206.8<NA>0.648.9<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>적합2020-11-232022-05-31B500001한국수자원공사
9신고시설2200100097지하수법맑은환경과서울특별시강동구서울특별시 강동구 강일동 565<NA><NA><NA>생활용민방위용N1002009050942324412001-05-216.5<NA>4.166<NA><NA><NA><NA><NA><NA><NA><NA><NA>0.001<NA><NA><NA><NA><NA><NA>적합2020-09-222022-05-31B500001한국수자원공사
시설구분허가신고번호관련법률담당부서시도명시군구명소재지지번주소소재지도로명주소공공/사설구분충적/암반구분지하수용도지하수세부용도지하수음용여부굴착심도굴착직경펌프설치심도취수계획량양수능력동력장치마력(마력)토출관직경연사용량개발일자pH총대장균군질산성질소염소이온카드뮴비소시안수은다이아지논파라티온페놀납크롬트리클로로에틸렌테트라클로로에틸렌1.1.1-트리클로로에탄벤젠톨루엔에틸벤젠크실렌적합여부채수일자데이터기준일자제공기관코드제공기관명
1243신고시설2202000705지하수법상하수도사업소강원도홍천군강원도 홍천군 북방면 북방리 306-3<NA><NA><NA>생활용공동주택용Y1001508010281204602020-12-28<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>적합2020-12-092022-05-31B500001한국수자원공사
1244신고시설2202000057지하수법상하수도사업소강원도홍천군강원도 홍천군 서석면 수하리 1290-1<NA><NA><NA>생활용기타등Y1001509010291254302020-03-266.8<NA>3.26.3<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>적합2020-03-252022-05-31B500001한국수자원공사
1245신고시설2200600087지하수법환경과전라남도화순군전라남도 화순군 동복면 신율리 476<NA>공공암반생활용기타등Y1001506050701301822007-02-287.3불검출27.3불검출불검출불검출불검출불검출불검출불검출불검출<NA>불검출불검출불검출불검출불검출불검출불검출적합2020-03-102022-05-31B500001한국수자원공사
1246신고시설2201200101지하수법환경과전라남도화순군전라남도 화순군 화순읍 수만리 산 98<NA><NA><NA>생활용기타등Y1001509880983321472012-10-04<NA>불검출0.5불검출불검출불검출불검출불검출불검출불검출불검출불검출<NA>불검출불검출불검출불검출불검출불검출불검출적합2020-04-282022-05-31B500001한국수자원공사
1247신고시설2201400016지하수법상하수도사업소강원도화천군강원도 화천군 간동면 간척리 1285<NA><NA><NA>생활용기타등Y10020080801003404722014-06-107.2불검출9.828.4불검출불검출불검출불검출불검출불검출불검출불검출<NA>불검출불검출불검출불검출불검출불검출불검출적합2020-04-232022-05-31B500001한국수자원공사
1248허가시설1200200003지하수법상하수도사업소강원도화천군강원도 화천군 간동면 간척리 376<NA>사설암반생활용기타등Y110250701502005505402002-05-307.1불검출23.3불검출불검출불검출불검출불검출불검출불검출불검출<NA>불검출불검출불검출불검출불검출불검출불검출적합2020-04-232022-05-31B500001한국수자원공사
1249신고시설2200100088지하수법상하수도사업소강원도화천군강원도 화천군 간동면 간척리 474<NA><NA><NA>생활용기타등Y622005030501257371992-11-037.2불검출4.56.9불검출불검출불검출불검출불검출불검출불검출불검출<NA>불검출불검출불검출불검출불검출불검출불검출적합2020-04-232022-05-31B500001한국수자원공사
1250허가시설1200200005지하수법상하수도사업소강원도화천군강원도 화천군 간동면 간척리 617-4<NA>사설암반생활용기타등Y150250701502005505402002-05-307.5불검출3.24.3불검출불검출불검출불검출불검출불검출불검출불검출<NA>불검출불검출불검출불검출불검출불검출불검출적합2020-04-232022-05-31B500001한국수자원공사
1251허가시설1200600003지하수법상하수도사업소강원도화천군강원도 화천군 간동면 간척리 791<NA><NA><NA>생활용기타등Y150350761201505504722013-07-096.9불검출3.95.1불검출불검출불검출불검출불검출불검출불검출불검출<NA>불검출불검출불검출불검출불검출불검출불검출적합2020-04-232022-05-31B500001한국수자원공사
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