Overview

Dataset statistics

Number of variables68
Number of observations35
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory20.6 KiB
Average record size in memory601.8 B

Variable types

Text2
Categorical43
DateTime2
Numeric21

Dataset

Description전라북도_상수도수질검사_20171120
Author전라북도
URLhttps://www.bigdatahub.go.kr/opendata/dataSet/detail.nm?contentId=37&rlik=49451aebf056b486&serviceId=201911

Alerts

최종판정결과 has constant value ""Constant
총대장균군 has constant value ""Constant
대장균 has constant value ""Constant
분원성대장균 has constant value ""Constant
납 has constant value ""Constant
비소 has constant value ""Constant
셀레늄 has constant value ""Constant
수은 has constant value ""Constant
시안 has constant value ""Constant
크롬 has constant value ""Constant
카드뮴 has constant value ""Constant
페놀 has constant value ""Constant
다이아지논 has constant value ""Constant
파라티온 has constant value ""Constant
페니트로티온 has constant value ""Constant
카바릴 has constant value ""Constant
트리클로에탄 has constant value ""Constant
테트라클로로 has constant value ""Constant
트리클로로 has constant value ""Constant
사염화탄소 has constant value ""Constant
디클로로에틸 has constant value ""Constant
디클로로메탄 has constant value ""Constant
벤젠 has constant value ""Constant
에틸벤젠 has constant value ""Constant
크실렌 has constant value ""Constant
디브로모클로 has constant value ""Constant
아세토니트릴 has constant value ""Constant
세제 has constant value ""Constant
철 has constant value ""Constant
데이터기준일자 has constant value ""Constant
자료출처 has constant value ""Constant
일반세균 is highly imbalanced (76.5%)Imbalance
불소 is highly imbalanced (81.3%)Imbalance
암모니아질소 is highly imbalanced (81.3%)Imbalance
보론 is highly imbalanced (68.4%)Imbalance
톨루엔 is highly imbalanced (81.3%)Imbalance
다이옥산 is highly imbalanced (76.5%)Imbalance
포름알데히드 is highly imbalanced (56.2%)Imbalance
질산성질소 has 1 (2.9%) zerosZeros
잔류염소 has 1 (2.9%) zerosZeros
클로로포름 has 2 (5.7%) zerosZeros
브로모디클로 has 1 (2.9%) zerosZeros
디브로모디 has 10 (28.6%) zerosZeros
클로랄하이드 has 1 (2.9%) zerosZeros
디브로모아 has 6 (17.1%) zerosZeros
디클로로아세 has 1 (2.9%) zerosZeros
아세틱에시드 has 1 (2.9%) zerosZeros
영향물질경도 has 1 (2.9%) zerosZeros
과망간산칼륨 has 3 (8.6%) zerosZeros
동 has 25 (71.4%) zerosZeros
아연 has 12 (34.3%) zerosZeros
망간 has 22 (62.9%) zerosZeros
황산이온 has 1 (2.9%) zerosZeros
알루미늄 has 24 (68.6%) zerosZeros

Reproduction

Analysis started2024-03-14 02:27:21.374784
Analysis finished2024-03-14 02:27:22.156775
Duration0.78 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

정수장명
Text

Distinct20
Distinct (%)57.1%
Missing0
Missing (%)0.0%
Memory size412.0 B
2024-03-14T11:27:22.244688image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length6
Median length5
Mean length5.0285714
Min length5

Characters and Unicode

Total characters176
Distinct characters30
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

Unique19 ?
Unique (%)54.3%

Sample

1st row신흥정수장
2nd row금강정수장
3rd row산성정수장
4th row위도정수장
5th row구천동정수장
ValueCountFrequency (%)
월락정수장 16
45.7%
신흥정수장 1
 
2.9%
금강정수장 1
 
2.9%
복흥정수장 1
 
2.9%
고산정수장 1
 
2.9%
주천정수장 1
 
2.9%
월운정수장 1
 
2.9%
수동정수장 1
 
2.9%
삼락정수장 1
 
2.9%
산암정수장 1
 
2.9%
Other values (10) 10
28.6%
2024-03-14T11:27:22.510228image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
수 36
20.5%
정 35
19.9%
장 35
19.9%
월 17
9.7%
락 17
9.7%
산 3
 
1.7%
성 3
 
1.7%
천 3
 
1.7%
주 2
 
1.1%
흥 2
 
1.1%
Other values (20) 23
13.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 176
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
수 36
20.5%
정 35
19.9%
장 35
19.9%
월 17
9.7%
락 17
9.7%
산 3
 
1.7%
성 3
 
1.7%
천 3
 
1.7%
주 2
 
1.1%
흥 2
 
1.1%
Other values (20) 23
13.1%

Most occurring scripts

ValueCountFrequency (%)
Hangul 176
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
수 36
20.5%
정 35
19.9%
장 35
19.9%
월 17
9.7%
락 17
9.7%
산 3
 
1.7%
성 3
 
1.7%
천 3
 
1.7%
주 2
 
1.1%
흥 2
 
1.1%
Other values (20) 23
13.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 176
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
수 36
20.5%
정 35
19.9%
장 35
19.9%
월 17
9.7%
락 17
9.7%
산 3
 
1.7%
성 3
 
1.7%
천 3
 
1.7%
주 2
 
1.1%
흥 2
 
1.1%
Other values (20) 23
13.1%

관리기관명
Categorical

Distinct9
Distinct (%)25.7%
Missing0
Missing (%)0.0%
Memory size412.0 B
전라북도 남원시
16 
전라북도 무주군청
5 
전라북도 진안군
5 
전라북도 익산시청
2 
전라북도 임실군청 상하수사업소
2 
Other values (4)
5 

Length

Max length16
Median length8
Mean length8.7142857
Min length7

Unique

Unique3 ?
Unique (%)8.6%

Sample

1st row전라북도 익산시청
2nd row전라북도 익산시청
3rd rowK-water
4th row부안군청맑은물사업소
5th row전라북도 무주군청

Common Values

ValueCountFrequency (%)
전라북도 남원시 16
45.7%
전라북도 무주군청 5
 
14.3%
전라북도 진안군 5
 
14.3%
전라북도 익산시청 2
 
5.7%
전라북도 임실군청 상하수사업소 2
 
5.7%
전라북도 순창군청 2
 
5.7%
K-water 1
 
2.9%
부안군청맑은물사업소 1
 
2.9%
한국수자원공사 1
 
2.9%

Length

2024-03-14T11:27:22.632731image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T11:27:22.722696image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
전라북도 32
46.4%
남원시 16
23.2%
무주군청 5
 
7.2%
진안군 5
 
7.2%
익산시청 2
 
2.9%
임실군청 2
 
2.9%
상하수사업소 2
 
2.9%
순창군청 2
 
2.9%
k-water 1
 
1.4%
부안군청맑은물사업소 1
 
1.4%

관리기관전화번호
Categorical

Distinct11
Distinct (%)31.4%
Missing0
Missing (%)0.0%
Memory size412.0 B
063-620-6883
16 
063-320-2521
5 
063-430-2524
5 
063-650-1733
2 
063-859-4343
 
1
Other values (6)
6 

Length

Max length12
Median length12
Mean length12
Min length12

Unique

Unique7 ?
Unique (%)20.0%

Sample

1st row063-859-4343
2nd row063-859-4405
3rd row063-530-0231
4th row063-580-3870
5th row063-320-2521

Common Values

ValueCountFrequency (%)
063-620-6883 16
45.7%
063-320-2521 5
 
14.3%
063-430-2524 5
 
14.3%
063-650-1733 2
 
5.7%
063-859-4343 1
 
2.9%
063-859-4405 1
 
2.9%
063-530-0231 1
 
2.9%
063-580-3870 1
 
2.9%
063-640-2231 1
 
2.9%
063-640-2237 1
 
2.9%

Length

2024-03-14T11:27:22.831837image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
063-620-6883 16
45.7%
063-320-2521 5
 
14.3%
063-430-2524 5
 
14.3%
063-650-1733 2
 
5.7%
063-859-4343 1
 
2.9%
063-859-4405 1
 
2.9%
063-530-0231 1
 
2.9%
063-580-3870 1
 
2.9%
063-640-2231 1
 
2.9%
063-640-2237 1
 
2.9%

도로명주소
Text

Distinct20
Distinct (%)57.1%
Missing0
Missing (%)0.0%
Memory size412.0 B
2024-03-14T11:27:23.013189image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length24
Median length23
Mean length18.371429
Min length15

Characters and Unicode

Total characters643
Distinct characters78
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

Unique19 ?
Unique (%)54.3%

Sample

1st row전라북도 익산시 서동로 361
2nd row전라북도 익산시 동천로 99
3rd row전라북도 정읍시 옹동면 태산로 2450-64
4th row전라북도 부안군 위도면 위도로 432
5th row전라북도 무주군 설천면 삼공리 877-4
ValueCountFrequency (%)
전라북도 35
22.6%
도통동 16
 
10.3%
574 16
 
10.3%
남원시 16
 
10.3%
무주군 5
 
3.2%
진안군 5
 
3.2%
익산시 2
 
1.3%
순창군 2
 
1.3%
임실군 2
 
1.3%
설천면 2
 
1.3%
Other values (53) 54
34.8%
2024-03-14T11:27:23.295459image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
120
18.7%
도 53
 
8.2%
전 36
 
5.6%
라 35
 
5.4%
북 35
 
5.4%
4 25
 
3.9%
5 23
 
3.6%
7 23
 
3.6%
시 19
 
3.0%
동 19
 
3.0%
Other values (68) 255
39.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 402
62.5%
Space Separator 120
 
18.7%
Decimal Number 113
 
17.6%
Dash Punctuation 8
 
1.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
도 53
 
13.2%
전 36
 
9.0%
라 35
 
8.7%
북 35
 
8.7%
시 19
 
4.7%
동 19
 
4.7%
원 16
 
4.0%
군 16
 
4.0%
남 16
 
4.0%
통 16
 
4.0%
Other values (56) 141
35.1%
Decimal Number
ValueCountFrequency (%)
4 25
22.1%
5 23
20.4%
7 23
20.4%
2 12
10.6%
1 11
9.7%
8 6
 
5.3%
3 5
 
4.4%
0 4
 
3.5%
9 2
 
1.8%
6 2
 
1.8%
Space Separator
ValueCountFrequency (%)
120
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 8
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 402
62.5%
Common 241
37.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
도 53
 
13.2%
전 36
 
9.0%
라 35
 
8.7%
북 35
 
8.7%
시 19
 
4.7%
동 19
 
4.7%
원 16
 
4.0%
군 16
 
4.0%
남 16
 
4.0%
통 16
 
4.0%
Other values (56) 141
35.1%
Common
ValueCountFrequency (%)
120
49.8%
4 25
 
10.4%
5 23
 
9.5%
7 23
 
9.5%
2 12
 
5.0%
1 11
 
4.6%
- 8
 
3.3%
8 6
 
2.5%
3 5
 
2.1%
0 4
 
1.7%
Other values (2) 4
 
1.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 402
62.5%
ASCII 241
37.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
120
49.8%
4 25
 
10.4%
5 23
 
9.5%
7 23
 
9.5%
2 12
 
5.0%
1 11
 
4.6%
- 8
 
3.3%
8 6
 
2.5%
3 5
 
2.1%
0 4
 
1.7%
Other values (2) 4
 
1.7%
Hangul
ValueCountFrequency (%)
도 53
 
13.2%
전 36
 
9.0%
라 35
 
8.7%
북 35
 
8.7%
시 19
 
4.7%
동 19
 
4.7%
원 16
 
4.0%
군 16
 
4.0%
남 16
 
4.0%
통 16
 
4.0%
Other values (56) 141
35.1%

채수일자
Date

Distinct23
Distinct (%)65.7%
Missing0
Missing (%)0.0%
Memory size412.0 B
Minimum2016-01-08 00:00:00
Maximum2017-09-05 00:00:00
2024-03-14T11:27:23.404515image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T11:27:23.510727image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=23)

검사기관명
Categorical

Distinct8
Distinct (%)22.9%
Missing0
Missing (%)0.0%
Memory size412.0 B
전라북도 보건환경연구원
18 
전북보건환경연구원
5 
전주대학교 농생명EM 환경연구센터
5 
전주시 맑음물사업소
2 
전주시맑은물사업본부
2 
Other values (3)
3 

Length

Max length18
Median length12
Mean length12.342857
Min length7

Unique

Unique3 ?
Unique (%)8.6%

Sample

1st row전주시 맑음물사업소
2nd row전주시 맑음물사업소
3rd rowk-water
4th row전주대학교 농생명EM환경연구센터
5th row전북보건환경연구원

Common Values

ValueCountFrequency (%)
전라북도 보건환경연구원 18
51.4%
전북보건환경연구원 5
 
14.3%
전주대학교 농생명EM 환경연구센터 5
 
14.3%
전주시 맑음물사업소 2
 
5.7%
전주시맑은물사업본부 2
 
5.7%
k-water 1
 
2.9%
전주대학교 농생명EM환경연구센터 1
 
2.9%
전주시맑은물사업본부(수질관리과) 1
 
2.9%

Length

2024-03-14T11:27:23.615203image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T11:27:23.733277image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
전라북도 18
27.3%
보건환경연구원 18
27.3%
전주대학교 6
 
9.1%
전북보건환경연구원 5
 
7.6%
농생명em 5
 
7.6%
환경연구센터 5
 
7.6%
전주시 2
 
3.0%
맑음물사업소 2
 
3.0%
전주시맑은물사업본부 2
 
3.0%
k-water 1
 
1.5%
Other values (2) 2
 
3.0%

최종판정결과
Categorical

CONSTANT 

Distinct1
Distinct (%)2.9%
Missing0
Missing (%)0.0%
Memory size412.0 B
적합
35 

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 35
100.0%

Length

2024-03-14T11:27:23.950331image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T11:27:24.062319image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
적합 35
100.0%

일반세균
Categorical

IMBALANCE 

Distinct3
Distinct (%)8.6%
Missing0
Missing (%)0.0%
Memory size412.0 B
0
33 
5
 
1
2
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique2 ?
Unique (%)5.7%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 33
94.3%
5 1
 
2.9%
2 1
 
2.9%

Length

2024-03-14T11:27:24.155316image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T11:27:24.246982image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 33
94.3%
5 1
 
2.9%
2 1
 
2.9%

총대장균군
Categorical

CONSTANT 

Distinct1
Distinct (%)2.9%
Missing0
Missing (%)0.0%
Memory size412.0 B
불검출
35 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
불검출 35
100.0%

Length

2024-03-14T11:27:24.354667image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T11:27:24.467899image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
불검출 35
100.0%

대장균
Categorical

CONSTANT 

Distinct1
Distinct (%)2.9%
Missing0
Missing (%)0.0%
Memory size412.0 B
불검출
35 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
불검출 35
100.0%

Length

2024-03-14T11:27:24.595266image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T11:27:24.726656image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
불검출 35
100.0%

분원성대장균
Categorical

CONSTANT 

Distinct1
Distinct (%)2.9%
Missing0
Missing (%)0.0%
Memory size412.0 B
불검출
35 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
불검출 35
100.0%

Length

2024-03-14T11:27:24.843495image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T11:27:24.923287image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
불검출 35
100.0%

납
Categorical

CONSTANT 

Distinct1
Distinct (%)2.9%
Missing0
Missing (%)0.0%
Memory size412.0 B
0
35 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 35
100.0%

Length

2024-03-14T11:27:25.000990image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T11:27:25.074895image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 35
100.0%

불소
Categorical

IMBALANCE 

Distinct2
Distinct (%)5.7%
Missing0
Missing (%)0.0%
Memory size412.0 B
0.0
34 
0.45
 
1

Length

Max length4
Median length3
Mean length3.0285714
Min length3

Unique

Unique1 ?
Unique (%)2.9%

Sample

1st row0.0
2nd row0.0
3rd row0.0
4th row0.0
5th row0.45

Common Values

ValueCountFrequency (%)
0.0 34
97.1%
0.45 1
 
2.9%

Length

2024-03-14T11:27:25.155385image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T11:27:25.237331image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0.0 34
97.1%
0.45 1
 
2.9%

비소
Categorical

CONSTANT 

Distinct1
Distinct (%)2.9%
Missing0
Missing (%)0.0%
Memory size412.0 B
0
35 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 35
100.0%

Length

2024-03-14T11:27:25.324728image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T11:27:25.399537image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 35
100.0%

셀레늄
Categorical

CONSTANT 

Distinct1
Distinct (%)2.9%
Missing0
Missing (%)0.0%
Memory size412.0 B
0
35 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 35
100.0%

Length

2024-03-14T11:27:25.474785image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T11:27:25.551658image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 35
100.0%

수은
Categorical

CONSTANT 

Distinct1
Distinct (%)2.9%
Missing0
Missing (%)0.0%
Memory size412.0 B
0
35 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 35
100.0%

Length

2024-03-14T11:27:25.627234image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T11:27:25.701674image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 35
100.0%

시안
Categorical

CONSTANT 

Distinct1
Distinct (%)2.9%
Missing0
Missing (%)0.0%
Memory size412.0 B
0
35 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 35
100.0%

Length

2024-03-14T11:27:25.793182image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T11:27:25.868937image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 35
100.0%

크롬
Categorical

CONSTANT 

Distinct1
Distinct (%)2.9%
Missing0
Missing (%)0.0%
Memory size412.0 B
0
35 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 35
100.0%

Length

2024-03-14T11:27:25.974481image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T11:27:26.199095image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 35
100.0%

암모니아질소
Categorical

IMBALANCE 

Distinct2
Distinct (%)5.7%
Missing0
Missing (%)0.0%
Memory size412.0 B
0.0
34 
0.02
 
1

Length

Max length4
Median length3
Mean length3.0285714
Min length3

Unique

Unique1 ?
Unique (%)2.9%

Sample

1st row0.0
2nd row0.0
3rd row0.0
4th row0.0
5th row0.0

Common Values

ValueCountFrequency (%)
0.0 34
97.1%
0.02 1
 
2.9%

Length

2024-03-14T11:27:26.331022image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T11:27:26.422328image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0.0 34
97.1%
0.02 1
 
2.9%

질산성질소
Real number (ℝ)

ZEROS 

Distinct20
Distinct (%)57.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.4457143
Minimum0
Maximum3
Zeros1
Zeros (%)2.9%
Negative0
Negative (%)0.0%
Memory size447.0 B
2024-03-14T11:27:26.509519image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.37
Q11.05
median1.5
Q31.85
95-th percentile2.53
Maximum3
Range3
Interquartile range (IQR)0.8

Descriptive statistics

Standard deviation0.67359564
Coefficient of variation (CV)0.46592584
Kurtosis-0.081595737
Mean1.4457143
Median Absolute Deviation (MAD)0.4
Skewness-0.032153264
Sum50.6
Variance0.45373109
MonotonicityNot monotonic
2024-03-14T11:27:26.612166image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=20)
ValueCountFrequency (%)
1.2 5
14.3%
1.8 4
 
11.4%
0.7 3
 
8.6%
2.0 3
 
8.6%
1.7 2
 
5.7%
1.5 2
 
5.7%
1.6 2
 
5.7%
1.9 2
 
5.7%
2.6 1
 
2.9%
3.0 1
 
2.9%
Other values (10) 10
28.6%
ValueCountFrequency (%)
0.0 1
 
2.9%
0.3 1
 
2.9%
0.4 1
 
2.9%
0.5 1
 
2.9%
0.7 3
8.6%
0.9 1
 
2.9%
1.0 1
 
2.9%
1.1 1
 
2.9%
1.2 5
14.3%
1.4 1
 
2.9%
ValueCountFrequency (%)
3.0 1
 
2.9%
2.6 1
 
2.9%
2.5 1
 
2.9%
2.2 1
 
2.9%
2.0 3
8.6%
1.9 2
5.7%
1.8 4
11.4%
1.7 2
5.7%
1.6 2
5.7%
1.5 2
5.7%

카드뮴
Categorical

CONSTANT 

Distinct1
Distinct (%)2.9%
Missing0
Missing (%)0.0%
Memory size412.0 B
0
35 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 35
100.0%

Length

2024-03-14T11:27:26.729304image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T11:27:26.804801image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 35
100.0%

보론
Categorical

IMBALANCE 

Distinct3
Distinct (%)8.6%
Missing0
Missing (%)0.0%
Memory size412.0 B
0.0
32 
0.01
 
2
0.02
 
1

Length

Max length4
Median length3
Mean length3.0857143
Min length3

Unique

Unique1 ?
Unique (%)2.9%

Sample

1st row0.0
2nd row0.0
3rd row0.02
4th row0.0
5th row0.0

Common Values

ValueCountFrequency (%)
0.0 32
91.4%
0.01 2
 
5.7%
0.02 1
 
2.9%

Length

2024-03-14T11:27:26.880651image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T11:27:26.969819image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0.0 32
91.4%
0.01 2
 
5.7%
0.02 1
 
2.9%

페놀
Categorical

CONSTANT 

Distinct1
Distinct (%)2.9%
Missing0
Missing (%)0.0%
Memory size412.0 B
0
35 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 35
100.0%

Length

2024-03-14T11:27:27.064287image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T11:27:27.139399image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 35
100.0%

다이아지논
Categorical

CONSTANT 

Distinct1
Distinct (%)2.9%
Missing0
Missing (%)0.0%
Memory size412.0 B
0
35 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 35
100.0%

Length

2024-03-14T11:27:27.232629image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T11:27:27.312259image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 35
100.0%

파라티온
Categorical

CONSTANT 

Distinct1
Distinct (%)2.9%
Missing0
Missing (%)0.0%
Memory size412.0 B
0
35 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 35
100.0%

Length

2024-03-14T11:27:27.392714image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T11:27:27.465367image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 35
100.0%

페니트로티온
Categorical

CONSTANT 

Distinct1
Distinct (%)2.9%
Missing0
Missing (%)0.0%
Memory size412.0 B
0
35 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 35
100.0%

Length

2024-03-14T11:27:27.543906image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T11:27:27.625476image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 35
100.0%

카바릴
Categorical

CONSTANT 

Distinct1
Distinct (%)2.9%
Missing0
Missing (%)0.0%
Memory size412.0 B
0
35 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 35
100.0%

Length

2024-03-14T11:27:27.700610image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T11:27:27.772647image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 35
100.0%

트리클로에탄
Categorical

CONSTANT 

Distinct1
Distinct (%)2.9%
Missing0
Missing (%)0.0%
Memory size412.0 B
0
35 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 35
100.0%

Length

2024-03-14T11:27:27.852865image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T11:27:27.926600image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 35
100.0%

테트라클로로
Categorical

CONSTANT 

Distinct1
Distinct (%)2.9%
Missing0
Missing (%)0.0%
Memory size412.0 B
0
35 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 35
100.0%

Length

2024-03-14T11:27:28.003363image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T11:27:28.075524image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 35
100.0%

트리클로로
Categorical

CONSTANT 

Distinct1
Distinct (%)2.9%
Missing0
Missing (%)0.0%
Memory size412.0 B
0
35 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 35
100.0%

Length

2024-03-14T11:27:28.150414image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T11:27:28.225031image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 35
100.0%

사염화탄소
Categorical

CONSTANT 

Distinct1
Distinct (%)2.9%
Missing0
Missing (%)0.0%
Memory size412.0 B
0
35 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 35
100.0%

Length

2024-03-14T11:27:28.358138image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T11:27:28.542794image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 35
100.0%

디클로로에틸
Categorical

CONSTANT 

Distinct1
Distinct (%)2.9%
Missing0
Missing (%)0.0%
Memory size412.0 B
0
35 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 35
100.0%

Length

2024-03-14T11:27:28.624193image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T11:27:28.719712image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 35
100.0%

디클로로메탄
Categorical

CONSTANT 

Distinct1
Distinct (%)2.9%
Missing0
Missing (%)0.0%
Memory size412.0 B
0
35 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 35
100.0%

Length

2024-03-14T11:27:28.849179image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T11:27:28.935357image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 35
100.0%

벤젠
Categorical

CONSTANT 

Distinct1
Distinct (%)2.9%
Missing0
Missing (%)0.0%
Memory size412.0 B
0
35 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 35
100.0%

Length

2024-03-14T11:27:29.012422image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T11:27:29.100980image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 35
100.0%

톨루엔
Categorical

IMBALANCE 

Distinct2
Distinct (%)5.7%
Missing0
Missing (%)0.0%
Memory size412.0 B
0.0
34 
0.001
 
1

Length

Max length5
Median length3
Mean length3.0571429
Min length3

Unique

Unique1 ?
Unique (%)2.9%

Sample

1st row0.0
2nd row0.0
3rd row0.0
4th row0.0
5th row0.001

Common Values

ValueCountFrequency (%)
0.0 34
97.1%
0.001 1
 
2.9%

Length

2024-03-14T11:27:29.205691image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T11:27:29.308585image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0.0 34
97.1%
0.001 1
 
2.9%

에틸벤젠
Categorical

CONSTANT 

Distinct1
Distinct (%)2.9%
Missing0
Missing (%)0.0%
Memory size412.0 B
0
35 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 35
100.0%

Length

2024-03-14T11:27:29.403577image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T11:27:29.483740image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 35
100.0%

크실렌
Categorical

CONSTANT 

Distinct1
Distinct (%)2.9%
Missing0
Missing (%)0.0%
Memory size412.0 B
0
35 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 35
100.0%

Length

2024-03-14T11:27:29.776828image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T11:27:29.851490image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 35
100.0%

디브로모클로
Categorical

CONSTANT 

Distinct1
Distinct (%)2.9%
Missing0
Missing (%)0.0%
Memory size412.0 B
0
35 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 35
100.0%

Length

2024-03-14T11:27:29.948421image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T11:27:30.024553image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 35
100.0%

다이옥산
Categorical

IMBALANCE 

Distinct3
Distinct (%)8.6%
Missing0
Missing (%)0.0%
Memory size412.0 B
0.0
33 
0.001
 
1
0.002
 
1

Length

Max length5
Median length3
Mean length3.1142857
Min length3

Unique

Unique2 ?
Unique (%)5.7%

Sample

1st row0.0
2nd row0.0
3rd row0.0
4th row0.001
5th row0.0

Common Values

ValueCountFrequency (%)
0.0 33
94.3%
0.001 1
 
2.9%
0.002 1
 
2.9%

Length

2024-03-14T11:27:30.110150image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T11:27:30.195297image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0.0 33
94.3%
0.001 1
 
2.9%
0.002 1
 
2.9%

잔류염소
Real number (ℝ)

ZEROS 

Distinct31
Distinct (%)88.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.63542857
Minimum0
Maximum2.04
Zeros1
Zeros (%)2.9%
Negative0
Negative (%)0.0%
Memory size447.0 B
2024-03-14T11:27:30.277641image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.102
Q10.355
median0.6
Q30.9
95-th percentile1.274
Maximum2.04
Range2.04
Interquartile range (IQR)0.545

Descriptive statistics

Standard deviation0.41137748
Coefficient of variation (CV)0.6474016
Kurtosis2.6665938
Mean0.63542857
Median Absolute Deviation (MAD)0.26
Skewness1.1794837
Sum22.24
Variance0.16923143
MonotonicityNot monotonic
2024-03-14T11:27:30.378844image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=31)
ValueCountFrequency (%)
0.97 2
 
5.7%
0.65 2
 
5.7%
0.2 2
 
5.7%
0.94 2
 
5.7%
0.69 1
 
2.9%
0.73 1
 
2.9%
0.55 1
 
2.9%
0.61 1
 
2.9%
0.5 1
 
2.9%
1.09 1
 
2.9%
Other values (21) 21
60.0%
ValueCountFrequency (%)
0.0 1
2.9%
0.06 1
2.9%
0.12 1
2.9%
0.2 2
5.7%
0.25 1
2.9%
0.27 1
2.9%
0.3 1
2.9%
0.35 1
2.9%
0.36 1
2.9%
0.37 1
2.9%
ValueCountFrequency (%)
2.04 1
2.9%
1.33 1
2.9%
1.25 1
2.9%
1.09 1
2.9%
0.97 2
5.7%
0.96 1
2.9%
0.94 2
5.7%
0.86 1
2.9%
0.73 1
2.9%
0.72 1
2.9%

트리할로메탄
Real number (ℝ)

Distinct23
Distinct (%)65.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.022542857
Minimum0.008
Maximum0.049
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size447.0 B
2024-03-14T11:27:30.482573image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0.008
5-th percentile0.0087
Q10.0135
median0.017
Q30.0285
95-th percentile0.0473
Maximum0.049
Range0.041
Interquartile range (IQR)0.015

Descriptive statistics

Standard deviation0.012516678
Coefficient of variation (CV)0.5552392
Kurtosis-0.27439446
Mean0.022542857
Median Absolute Deviation (MAD)0.006
Skewness0.9586074
Sum0.789
Variance0.00015666723
MonotonicityNot monotonic
2024-03-14T11:27:30.630179image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=23)
ValueCountFrequency (%)
0.014 4
 
11.4%
0.017 3
 
8.6%
0.013 3
 
8.6%
0.011 3
 
8.6%
0.021 2
 
5.7%
0.016 2
 
5.7%
0.008 2
 
5.7%
0.009 1
 
2.9%
0.023 1
 
2.9%
0.034 1
 
2.9%
Other values (13) 13
37.1%
ValueCountFrequency (%)
0.008 2
5.7%
0.009 1
 
2.9%
0.011 3
8.6%
0.013 3
8.6%
0.014 4
11.4%
0.016 2
5.7%
0.017 3
8.6%
0.018 1
 
2.9%
0.021 2
5.7%
0.022 1
 
2.9%
ValueCountFrequency (%)
0.049 1
2.9%
0.048 1
2.9%
0.047 1
2.9%
0.045 1
2.9%
0.044 1
2.9%
0.041 1
2.9%
0.034 1
2.9%
0.031 1
2.9%
0.029 1
2.9%
0.028 1
2.9%

클로로포름
Real number (ℝ)

ZEROS 

Distinct21
Distinct (%)60.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.014285714
Minimum0
Maximum0.044
Zeros2
Zeros (%)5.7%
Negative0
Negative (%)0.0%
Memory size447.0 B
2024-03-14T11:27:30.810682image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.0021
Q10.0075
median0.011
Q30.0215
95-th percentile0.0343
Maximum0.044
Range0.044
Interquartile range (IQR)0.014

Descriptive statistics

Standard deviation0.010556769
Coefficient of variation (CV)0.73897385
Kurtosis0.70298846
Mean0.014285714
Median Absolute Deviation (MAD)0.005
Skewness1.0886647
Sum0.5
Variance0.00011144538
MonotonicityNot monotonic
2024-03-14T11:27:30.926896image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
0.009 5
14.3%
0.011 3
 
8.6%
0.013 3
 
8.6%
0.022 2
 
5.7%
0.0 2
 
5.7%
0.007 2
 
5.7%
0.004 2
 
5.7%
0.006 2
 
5.7%
0.012 2
 
5.7%
0.025 1
 
2.9%
Other values (11) 11
31.4%
ValueCountFrequency (%)
0.0 2
 
5.7%
0.003 1
 
2.9%
0.004 2
 
5.7%
0.006 2
 
5.7%
0.007 2
 
5.7%
0.008 1
 
2.9%
0.009 5
14.3%
0.01 1
 
2.9%
0.011 3
8.6%
0.012 2
 
5.7%
ValueCountFrequency (%)
0.044 1
2.9%
0.035 1
2.9%
0.034 1
2.9%
0.032 1
2.9%
0.027 1
2.9%
0.025 1
2.9%
0.023 1
2.9%
0.022 2
5.7%
0.021 1
2.9%
0.019 1
2.9%

브로모디클로
Real number (ℝ)

ZEROS 

Distinct12
Distinct (%)34.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.0056857143
Minimum0
Maximum0.015
Zeros1
Zeros (%)2.9%
Negative0
Negative (%)0.0%
Memory size447.0 B
2024-03-14T11:27:31.038612image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.0027
Q10.004
median0.005
Q30.007
95-th percentile0.0113
Maximum0.015
Range0.015
Interquartile range (IQR)0.003

Descriptive statistics

Standard deviation0.0032155086
Coefficient of variation (CV)0.56554172
Kurtosis0.89482928
Mean0.0056857143
Median Absolute Deviation (MAD)0.002
Skewness1.0447983
Sum0.199
Variance1.0339496 × 10-5
MonotonicityNot monotonic
2024-03-14T11:27:31.133868image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
0.004 9
25.7%
0.003 6
17.1%
0.005 6
17.1%
0.007 4
11.4%
0.01 3
 
8.6%
0.015 1
 
2.9%
0.002 1
 
2.9%
0.012 1
 
2.9%
0.008 1
 
2.9%
0.011 1
 
2.9%
Other values (2) 2
 
5.7%
ValueCountFrequency (%)
0.0 1
 
2.9%
0.002 1
 
2.9%
0.003 6
17.1%
0.004 9
25.7%
0.005 6
17.1%
0.007 4
11.4%
0.008 1
 
2.9%
0.009 1
 
2.9%
0.01 3
 
8.6%
0.011 1
 
2.9%
ValueCountFrequency (%)
0.015 1
 
2.9%
0.012 1
 
2.9%
0.011 1
 
2.9%
0.01 3
 
8.6%
0.009 1
 
2.9%
0.008 1
 
2.9%
0.007 4
11.4%
0.005 6
17.1%
0.004 9
25.7%
0.003 6
17.1%

디브로모디
Real number (ℝ)

ZEROS 

Distinct8
Distinct (%)22.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.0020571429
Minimum0
Maximum0.015
Zeros10
Zeros (%)28.6%
Negative0
Negative (%)0.0%
Memory size447.0 B
2024-03-14T11:27:31.219369image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0.001
Q30.003
95-th percentile0.0053
Maximum0.015
Range0.015
Interquartile range (IQR)0.003

Descriptive statistics

Standard deviation0.0027433648
Coefficient of variation (CV)1.3335801
Kurtosis14.436436
Mean0.0020571429
Median Absolute Deviation (MAD)0.001
Skewness3.2908476
Sum0.072
Variance7.5260504 × 10-6
MonotonicityNot monotonic
2024-03-14T11:27:31.303226image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
0.0 10
28.6%
0.001 8
22.9%
0.003 6
17.1%
0.002 6
17.1%
0.004 2
 
5.7%
0.015 1
 
2.9%
0.005 1
 
2.9%
0.006 1
 
2.9%
ValueCountFrequency (%)
0.0 10
28.6%
0.001 8
22.9%
0.002 6
17.1%
0.003 6
17.1%
0.004 2
 
5.7%
0.005 1
 
2.9%
0.006 1
 
2.9%
0.015 1
 
2.9%
ValueCountFrequency (%)
0.015 1
 
2.9%
0.006 1
 
2.9%
0.005 1
 
2.9%
0.004 2
 
5.7%
0.003 6
17.1%
0.002 6
17.1%
0.001 8
22.9%
0.0 10
28.6%

클로랄하이드
Real number (ℝ)

ZEROS 

Distinct27
Distinct (%)77.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.0039371429
Minimum0
Maximum0.0113
Zeros1
Zeros (%)2.9%
Negative0
Negative (%)0.0%
Memory size447.0 B
2024-03-14T11:27:31.400949image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.00128
Q10.0022
median0.0031
Q30.0045
95-th percentile0.00949
Maximum0.0113
Range0.0113
Interquartile range (IQR)0.0023

Descriptive statistics

Standard deviation0.0027030577
Coefficient of variation (CV)0.68655312
Kurtosis1.5333137
Mean0.0039371429
Median Absolute Deviation (MAD)0.0011
Skewness1.3687808
Sum0.1378
Variance7.306521 × 10-6
MonotonicityNot monotonic
2024-03-14T11:27:31.493915image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=27)
ValueCountFrequency (%)
0.0022 3
 
8.6%
0.002 3
 
8.6%
0.0043 2
 
5.7%
0.0014 2
 
5.7%
0.0031 2
 
5.7%
0.0024 2
 
5.7%
0.0111 1
 
2.9%
0.0113 1
 
2.9%
0.0047 1
 
2.9%
0.0088 1
 
2.9%
Other values (17) 17
48.6%
ValueCountFrequency (%)
0.0 1
 
2.9%
0.001 1
 
2.9%
0.0014 2
5.7%
0.0018 1
 
2.9%
0.002 3
8.6%
0.0022 3
8.6%
0.0023 1
 
2.9%
0.0024 2
5.7%
0.0026 1
 
2.9%
0.0029 1
 
2.9%
ValueCountFrequency (%)
0.0113 1
2.9%
0.0111 1
2.9%
0.0088 1
2.9%
0.0087 1
2.9%
0.007 1
2.9%
0.0069 1
2.9%
0.0053 1
2.9%
0.0052 1
2.9%
0.0047 1
2.9%
0.0043 2
5.7%

디브로모아
Real number (ℝ)

ZEROS 

Distinct17
Distinct (%)48.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.00152
Minimum0
Maximum0.0053
Zeros6
Zeros (%)17.1%
Negative0
Negative (%)0.0%
Memory size447.0 B
2024-03-14T11:27:31.597847image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10.00105
median0.0013
Q30.0019
95-th percentile0.00313
Maximum0.0053
Range0.0053
Interquartile range (IQR)0.00085

Descriptive statistics

Standard deviation0.0011129716
Coefficient of variation (CV)0.73221819
Kurtosis2.7083533
Mean0.00152
Median Absolute Deviation (MAD)0.0005
Skewness1.0775274
Sum0.0532
Variance1.2387059 × 10-6
MonotonicityNot monotonic
2024-03-14T11:27:31.711872image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=17)
ValueCountFrequency (%)
0.0 6
17.1%
0.0013 4
11.4%
0.0018 4
11.4%
0.0012 4
11.4%
0.001 2
 
5.7%
0.0016 2
 
5.7%
0.002 2
 
5.7%
0.003 2
 
5.7%
0.0023 1
 
2.9%
0.0011 1
 
2.9%
Other values (7) 7
20.0%
ValueCountFrequency (%)
0.0 6
17.1%
0.0005 1
 
2.9%
0.001 2
 
5.7%
0.0011 1
 
2.9%
0.0012 4
11.4%
0.0013 4
11.4%
0.0014 1
 
2.9%
0.0016 2
 
5.7%
0.0017 1
 
2.9%
0.0018 4
11.4%
ValueCountFrequency (%)
0.0053 1
 
2.9%
0.0032 1
 
2.9%
0.0031 1
 
2.9%
0.003 2
5.7%
0.0023 1
 
2.9%
0.0022 1
 
2.9%
0.002 2
5.7%
0.0018 4
11.4%
0.0017 1
 
2.9%
0.0016 2
5.7%

디클로로아세
Real number (ℝ)

ZEROS 

Distinct28
Distinct (%)80.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.0033828571
Minimum0
Maximum0.0123
Zeros1
Zeros (%)2.9%
Negative0
Negative (%)0.0%
Memory size447.0 B
2024-03-14T11:27:31.802163image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.00067
Q10.0016
median0.0028
Q30.00405
95-th percentile0.00852
Maximum0.0123
Range0.0123
Interquartile range (IQR)0.00245

Descriptive statistics

Standard deviation0.0026353352
Coefficient of variation (CV)0.77902645
Kurtosis3.2361228
Mean0.0033828571
Median Absolute Deviation (MAD)0.0012
Skewness1.6767054
Sum0.1184
Variance6.9449916 × 10-6
MonotonicityNot monotonic
2024-03-14T11:27:31.902362image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=28)
ValueCountFrequency (%)
0.0038 2
 
5.7%
0.0019 2
 
5.7%
0.0042 2
 
5.7%
0.0023 2
 
5.7%
0.0014 2
 
5.7%
0.0035 2
 
5.7%
0.0016 2
 
5.7%
0.0075 1
 
2.9%
0.005 1
 
2.9%
0.0012 1
 
2.9%
Other values (18) 18
51.4%
ValueCountFrequency (%)
0.0 1
2.9%
0.0006 1
2.9%
0.0007 1
2.9%
0.0008 1
2.9%
0.0012 1
2.9%
0.0014 2
5.7%
0.0015 1
2.9%
0.0016 2
5.7%
0.0019 2
5.7%
0.002 1
2.9%
ValueCountFrequency (%)
0.0123 1
2.9%
0.0095 1
2.9%
0.0081 1
2.9%
0.0075 1
2.9%
0.0061 1
2.9%
0.005 1
2.9%
0.0043 1
2.9%
0.0042 2
5.7%
0.0039 1
2.9%
0.0038 2
5.7%

아세토니트릴
Categorical

CONSTANT 

Distinct1
Distinct (%)2.9%
Missing0
Missing (%)0.0%
Memory size412.0 B
0
35 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 35
100.0%

Length

2024-03-14T11:27:32.003708image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T11:27:32.085241image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 35
100.0%

아세틱에시드
Real number (ℝ)

ZEROS 

Distinct25
Distinct (%)71.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.02
Minimum0
Maximum0.076
Zeros1
Zeros (%)2.9%
Negative0
Negative (%)0.0%
Memory size447.0 B
2024-03-14T11:27:32.167500image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.0037
Q10.0085
median0.012
Q30.0235
95-th percentile0.0659
Maximum0.076
Range0.076
Interquartile range (IQR)0.015

Descriptive statistics

Standard deviation0.019078784
Coefficient of variation (CV)0.9539392
Kurtosis2.199043
Mean0.02
Median Absolute Deviation (MAD)0.007
Skewness1.6778594
Sum0.7
Variance0.000364
MonotonicityNot monotonic
2024-03-14T11:27:32.295255image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%)
0.011 3
 
8.6%
0.006 3
 
8.6%
0.013 3
 
8.6%
0.01 3
 
8.6%
0.012 2
 
5.7%
0.005 2
 
5.7%
0.076 1
 
2.9%
0.042 1
 
2.9%
0.0 1
 
2.9%
0.02 1
 
2.9%
Other values (15) 15
42.9%
ValueCountFrequency (%)
0.0 1
 
2.9%
0.003 1
 
2.9%
0.004 1
 
2.9%
0.005 2
5.7%
0.006 3
8.6%
0.008 1
 
2.9%
0.009 1
 
2.9%
0.01 3
8.6%
0.011 3
8.6%
0.012 2
5.7%
ValueCountFrequency (%)
0.076 1
2.9%
0.068 1
2.9%
0.065 1
2.9%
0.044 1
2.9%
0.042 1
2.9%
0.04 1
2.9%
0.038 1
2.9%
0.025 1
2.9%
0.024 1
2.9%
0.023 1
2.9%

포름알데히드
Categorical

IMBALANCE 

Distinct4
Distinct (%)11.4%
Missing0
Missing (%)0.0%
Memory size412.0 B
0.0
29 
0.02
4 
0.05
 
1
0.03
 
1

Length

Max length4
Median length3
Mean length3.1714286
Min length3

Unique

Unique2 ?
Unique (%)5.7%

Sample

1st row0.02
2nd row0.02
3rd row0.0
4th row0.0
5th row0.0

Common Values

ValueCountFrequency (%)
0.0 29
82.9%
0.02 4
 
11.4%
0.05 1
 
2.9%
0.03 1
 
2.9%

Length

2024-03-14T11:27:32.429680image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T11:27:32.541889image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0.0 29
82.9%
0.02 4
 
11.4%
0.05 1
 
2.9%
0.03 1
 
2.9%

영향물질경도
Real number (ℝ)

ZEROS 

Distinct29
Distinct (%)82.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean42.994286
Minimum0
Maximum74
Zeros1
Zeros (%)2.9%
Negative0
Negative (%)0.0%
Memory size447.0 B
2024-03-14T11:27:32.707319image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile9.74
Q132
median46
Q357
95-th percentile69.3
Maximum74
Range74
Interquartile range (IQR)25

Descriptive statistics

Standard deviation20.042924
Coefficient of variation (CV)0.46617645
Kurtosis-0.58530276
Mean42.994286
Median Absolute Deviation (MAD)13
Skewness-0.57796553
Sum1504.8
Variance401.71879
MonotonicityNot monotonic
2024-03-14T11:27:32.987355image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=29)
ValueCountFrequency (%)
44.0 2
 
5.7%
12.0 2
 
5.7%
45.0 2
 
5.7%
48.0 2
 
5.7%
32.0 2
 
5.7%
54.0 2
 
5.7%
56.0 1
 
2.9%
33.0 1
 
2.9%
52.0 1
 
2.9%
6.8 1
 
2.9%
Other values (19) 19
54.3%
ValueCountFrequency (%)
0.0 1
2.9%
6.8 1
2.9%
11.0 1
2.9%
12.0 2
5.7%
13.0 1
2.9%
17.0 1
2.9%
27.0 1
2.9%
32.0 2
5.7%
33.0 1
2.9%
42.0 1
2.9%
ValueCountFrequency (%)
74.0 1
2.9%
70.0 1
2.9%
69.0 1
2.9%
67.0 1
2.9%
66.0 1
2.9%
64.0 1
2.9%
61.0 1
2.9%
59.0 1
2.9%
58.0 1
2.9%
56.0 1
2.9%

과망간산칼륨
Real number (ℝ)

ZEROS 

Distinct18
Distinct (%)51.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.392
Minimum0
Maximum3.2
Zeros3
Zeros (%)8.6%
Negative0
Negative (%)0.0%
Memory size447.0 B
2024-03-14T11:27:33.218988image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10.75
median1.3
Q31.95
95-th percentile2.8
Maximum3.2
Range3.2
Interquartile range (IQR)1.2

Descriptive statistics

Standard deviation0.86078213
Coefficient of variation (CV)0.61837797
Kurtosis-0.67511308
Mean1.392
Median Absolute Deviation (MAD)0.7
Skewness0.29527588
Sum48.72
Variance0.74094588
MonotonicityNot monotonic
2024-03-14T11:27:33.313242image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
1.6 6
17.1%
0.6 4
11.4%
1.0 3
 
8.6%
0.0 3
 
8.6%
0.9 3
 
8.6%
2.2 2
 
5.7%
1.3 2
 
5.7%
2.8 2
 
5.7%
2.5 1
 
2.9%
2.6 1
 
2.9%
Other values (8) 8
22.9%
ValueCountFrequency (%)
0.0 3
8.6%
0.4 1
 
2.9%
0.52 1
 
2.9%
0.6 4
11.4%
0.9 3
8.6%
1.0 3
8.6%
1.1 1
 
2.9%
1.3 2
 
5.7%
1.5 1
 
2.9%
1.6 6
17.1%
ValueCountFrequency (%)
3.2 1
 
2.9%
2.8 2
 
5.7%
2.7 1
 
2.9%
2.6 1
 
2.9%
2.5 1
 
2.9%
2.2 2
 
5.7%
2.0 1
 
2.9%
1.9 1
 
2.9%
1.6 6
17.1%
1.5 1
 
2.9%

냄새
Categorical

Distinct2
Distinct (%)5.7%
Missing0
Missing (%)0.0%
Memory size412.0 B
없음
30 
적합
5 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
없음 30
85.7%
적합 5
 
14.3%

Length

2024-03-14T11:27:33.416584image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T11:27:33.503198image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
없음 30
85.7%
적합 5
 
14.3%

맛
Categorical

Distinct2
Distinct (%)5.7%
Missing0
Missing (%)0.0%
Memory size412.0 B
없음
30 
적합
5 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
없음 30
85.7%
적합 5
 
14.3%

Length

2024-03-14T11:27:33.597419image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T11:27:33.672335image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
없음 30
85.7%
적합 5
 
14.3%

동
Real number (ℝ)

ZEROS 

Distinct8
Distinct (%)22.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.0041428571
Minimum0
Maximum0.029
Zeros25
Zeros (%)71.4%
Negative0
Negative (%)0.0%
Memory size447.0 B
2024-03-14T11:27:33.739724image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30.008
95-th percentile0.021
Maximum0.029
Range0.029
Interquartile range (IQR)0.008

Descriptive statistics

Standard deviation0.0078782756
Coefficient of variation (CV)1.9016527
Kurtosis3.8292586
Mean0.0041428571
Median Absolute Deviation (MAD)0
Skewness2.0818935
Sum0.145
Variance6.2067227 × 10-5
MonotonicityNot monotonic
2024-03-14T11:27:33.827752image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
0.0 25
71.4%
0.008 3
 
8.6%
0.01 2
 
5.7%
0.009 1
 
2.9%
0.028 1
 
2.9%
0.029 1
 
2.9%
0.018 1
 
2.9%
0.017 1
 
2.9%
ValueCountFrequency (%)
0.0 25
71.4%
0.008 3
 
8.6%
0.009 1
 
2.9%
0.01 2
 
5.7%
0.017 1
 
2.9%
0.018 1
 
2.9%
0.028 1
 
2.9%
0.029 1
 
2.9%
ValueCountFrequency (%)
0.029 1
 
2.9%
0.028 1
 
2.9%
0.018 1
 
2.9%
0.017 1
 
2.9%
0.01 2
 
5.7%
0.009 1
 
2.9%
0.008 3
 
8.6%
0.0 25
71.4%

색도
Categorical

Distinct2
Distinct (%)5.7%
Missing0
Missing (%)0.0%
Memory size412.0 B
1
28 
0
7 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1
2nd row1
3rd row0
4th row0
5th row1

Common Values

ValueCountFrequency (%)
1 28
80.0%
0 7
 
20.0%

Length

2024-03-14T11:27:33.930835image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T11:27:34.019718image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 28
80.0%
0 7
 
20.0%

세제
Categorical

CONSTANT 

Distinct1
Distinct (%)2.9%
Missing0
Missing (%)0.0%
Memory size412.0 B
0
35 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 35
100.0%

Length

2024-03-14T11:27:34.109490image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T11:27:34.186522image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 35
100.0%

수소이온농도
Real number (ℝ)

Distinct12
Distinct (%)34.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.1685714
Minimum6.2
Maximum7.7
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size447.0 B
2024-03-14T11:27:34.253619image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum6.2
5-th percentile6.64
Q16.95
median7.2
Q37.4
95-th percentile7.7
Maximum7.7
Range1.5
Interquartile range (IQR)0.45

Descriptive statistics

Standard deviation0.35294678
Coefficient of variation (CV)0.049235302
Kurtosis0.34034981
Mean7.1685714
Median Absolute Deviation (MAD)0.2
Skewness-0.59637989
Sum250.9
Variance0.12457143
MonotonicityNot monotonic
2024-03-14T11:27:34.334261image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
7.3 5
14.3%
6.9 4
11.4%
7.1 4
11.4%
7.0 3
8.6%
7.4 3
8.6%
6.7 3
8.6%
7.5 3
8.6%
7.7 3
8.6%
7.2 3
8.6%
7.6 2
 
5.7%
Other values (2) 2
 
5.7%
ValueCountFrequency (%)
6.2 1
 
2.9%
6.5 1
 
2.9%
6.7 3
8.6%
6.9 4
11.4%
7.0 3
8.6%
7.1 4
11.4%
7.2 3
8.6%
7.3 5
14.3%
7.4 3
8.6%
7.5 3
8.6%
ValueCountFrequency (%)
7.7 3
8.6%
7.6 2
 
5.7%
7.5 3
8.6%
7.4 3
8.6%
7.3 5
14.3%
7.2 3
8.6%
7.1 4
11.4%
7.0 3
8.6%
6.9 4
11.4%
6.7 3
8.6%

아연
Real number (ℝ)

ZEROS 

Distinct22
Distinct (%)62.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.022257143
Minimum0
Maximum0.149
Zeros12
Zeros (%)34.3%
Negative0
Negative (%)0.0%
Memory size447.0 B
2024-03-14T11:27:34.427785image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0.008
Q30.0265
95-th percentile0.0939
Maximum0.149
Range0.149
Interquartile range (IQR)0.0265

Descriptive statistics

Standard deviation0.03528401
Coefficient of variation (CV)1.5852893
Kurtosis5.0429305
Mean0.022257143
Median Absolute Deviation (MAD)0.008
Skewness2.255646
Sum0.779
Variance0.0012449613
MonotonicityNot monotonic
2024-03-14T11:27:34.521513image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=22)
ValueCountFrequency (%)
0.0 12
34.3%
0.014 2
 
5.7%
0.008 2
 
5.7%
0.084 1
 
2.9%
0.024 1
 
2.9%
0.05 1
 
2.9%
0.149 1
 
2.9%
0.029 1
 
2.9%
0.003 1
 
2.9%
0.051 1
 
2.9%
Other values (12) 12
34.3%
ValueCountFrequency (%)
0.0 12
34.3%
0.002 1
 
2.9%
0.003 1
 
2.9%
0.005 1
 
2.9%
0.006 1
 
2.9%
0.007 1
 
2.9%
0.008 2
 
5.7%
0.011 1
 
2.9%
0.013 1
 
2.9%
0.014 2
 
5.7%
ValueCountFrequency (%)
0.149 1
2.9%
0.117 1
2.9%
0.084 1
2.9%
0.078 1
2.9%
0.051 1
2.9%
0.05 1
2.9%
0.04 1
2.9%
0.031 1
2.9%
0.029 1
2.9%
0.024 1
2.9%

염소이온
Real number (ℝ)

Distinct32
Distinct (%)91.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean16.548571
Minimum0.8
Maximum34.2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size447.0 B
2024-03-14T11:27:34.628624image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0.8
5-th percentile3.95
Q112.5
median16.8
Q321.15
95-th percentile29.01
Maximum34.2
Range33.4
Interquartile range (IQR)8.65

Descriptive statistics

Standard deviation8.0236918
Coefficient of variation (CV)0.48485707
Kurtosis-0.26814322
Mean16.548571
Median Absolute Deviation (MAD)4.4
Skewness-0.11421026
Sum579.2
Variance64.37963
MonotonicityNot monotonic
2024-03-14T11:27:34.724092image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=32)
ValueCountFrequency (%)
19.5 3
 
8.6%
16.8 2
 
5.7%
15.5 1
 
2.9%
0.8 1
 
2.9%
19.0 1
 
2.9%
20.4 1
 
2.9%
12.6 1
 
2.9%
13.9 1
 
2.9%
20.2 1
 
2.9%
24.1 1
 
2.9%
Other values (22) 22
62.9%
ValueCountFrequency (%)
0.8 1
2.9%
2.9 1
2.9%
4.4 1
2.9%
4.8 1
2.9%
5.0 1
2.9%
5.4 1
2.9%
6.1 1
2.9%
11.1 1
2.9%
12.4 1
2.9%
12.6 1
2.9%
ValueCountFrequency (%)
34.2 1
2.9%
30.2 1
2.9%
28.5 1
2.9%
25.9 1
2.9%
25.5 1
2.9%
24.1 1
2.9%
21.9 1
2.9%
21.4 1
2.9%
21.3 1
2.9%
21.0 1
2.9%

증발잔류물
Real number (ℝ)

Distinct33
Distinct (%)94.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean87.485714
Minimum18
Maximum168
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size447.0 B
2024-03-14T11:27:34.843590image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum18
5-th percentile25
Q176
median93
Q3103.5
95-th percentile144.4
Maximum168
Range150
Interquartile range (IQR)27.5

Descriptive statistics

Standard deviation37.120132
Coefficient of variation (CV)0.42429935
Kurtosis0.017395707
Mean87.485714
Median Absolute Deviation (MAD)14
Skewness-0.11238581
Sum3062
Variance1377.9042
MonotonicityNot monotonic
2024-03-14T11:27:34.948838image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=33)
ValueCountFrequency (%)
18 2
 
5.7%
101 2
 
5.7%
168 1
 
2.9%
89 1
 
2.9%
93 1
 
2.9%
120 1
 
2.9%
41 1
 
2.9%
110 1
 
2.9%
82 1
 
2.9%
78 1
 
2.9%
Other values (23) 23
65.7%
ValueCountFrequency (%)
18 2
5.7%
28 1
2.9%
30 1
2.9%
37 1
2.9%
38 1
2.9%
41 1
2.9%
50 1
2.9%
74 1
2.9%
78 1
2.9%
79 1
2.9%
ValueCountFrequency (%)
168 1
2.9%
164 1
2.9%
136 1
2.9%
131 1
2.9%
126 1
2.9%
120 1
2.9%
110 1
2.9%
105 1
2.9%
104 1
2.9%
103 1
2.9%

철
Categorical

CONSTANT 

Distinct1
Distinct (%)2.9%
Missing0
Missing (%)0.0%
Memory size412.0 B
0
35 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 35
100.0%

Length

2024-03-14T11:27:35.071586image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T11:27:35.178254image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 35
100.0%

망간
Real number (ℝ)

ZEROS 

Distinct7
Distinct (%)20.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.0026285714
Minimum0
Maximum0.018
Zeros22
Zeros (%)62.9%
Negative0
Negative (%)0.0%
Memory size447.0 B
2024-03-14T11:27:35.378770image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30.005
95-th percentile0.0085
Maximum0.018
Range0.018
Interquartile range (IQR)0.005

Descriptive statistics

Standard deviation0.0041592258
Coefficient of variation (CV)1.5823142
Kurtosis4.4763146
Mean0.0026285714
Median Absolute Deviation (MAD)0
Skewness1.9363075
Sum0.092
Variance1.729916 × 10-5
MonotonicityNot monotonic
2024-03-14T11:27:35.488430image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
0.0 22
62.9%
0.005 3
 
8.6%
0.006 3
 
8.6%
0.007 3
 
8.6%
0.004 2
 
5.7%
0.018 1
 
2.9%
0.012 1
 
2.9%
ValueCountFrequency (%)
0.0 22
62.9%
0.004 2
 
5.7%
0.005 3
 
8.6%
0.006 3
 
8.6%
0.007 3
 
8.6%
0.012 1
 
2.9%
0.018 1
 
2.9%
ValueCountFrequency (%)
0.018 1
 
2.9%
0.012 1
 
2.9%
0.007 3
 
8.6%
0.006 3
 
8.6%
0.005 3
 
8.6%
0.004 2
 
5.7%
0.0 22
62.9%

탁도
Real number (ℝ)

Distinct21
Distinct (%)60.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.16885714
Minimum0.06
Maximum0.42
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size447.0 B
2024-03-14T11:27:35.584053image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0.06
5-th percentile0.077
Q10.09
median0.13
Q30.195
95-th percentile0.403
Maximum0.42
Range0.36
Interquartile range (IQR)0.105

Descriptive statistics

Standard deviation0.10872987
Coefficient of variation (CV)0.64391633
Kurtosis0.40371678
Mean0.16885714
Median Absolute Deviation (MAD)0.04
Skewness1.2961906
Sum5.91
Variance0.011822185
MonotonicityNot monotonic
2024-03-14T11:27:35.688652image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
0.09 7
20.0%
0.08 3
 
8.6%
0.14 3
 
8.6%
0.13 3
 
8.6%
0.11 2
 
5.7%
0.17 2
 
5.7%
0.27 1
 
2.9%
0.07 1
 
2.9%
0.06 1
 
2.9%
0.36 1
 
2.9%
Other values (11) 11
31.4%
ValueCountFrequency (%)
0.06 1
 
2.9%
0.07 1
 
2.9%
0.08 3
8.6%
0.09 7
20.0%
0.1 1
 
2.9%
0.11 2
 
5.7%
0.12 1
 
2.9%
0.13 3
8.6%
0.14 3
8.6%
0.15 1
 
2.9%
ValueCountFrequency (%)
0.42 1
2.9%
0.41 1
2.9%
0.4 1
2.9%
0.38 1
2.9%
0.36 1
2.9%
0.29 1
2.9%
0.27 1
2.9%
0.26 1
2.9%
0.22 1
2.9%
0.17 2
5.7%

황산이온
Real number (ℝ)

ZEROS 

Distinct10
Distinct (%)28.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8
Minimum0
Maximum12
Zeros1
Zeros (%)2.9%
Negative0
Negative (%)0.0%
Memory size447.0 B
2024-03-14T11:27:35.784728image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile3
Q17
median8
Q310
95-th percentile12
Maximum12
Range12
Interquartile range (IQR)3

Descriptive statistics

Standard deviation2.8388067
Coefficient of variation (CV)0.35485084
Kurtosis0.70269642
Mean8
Median Absolute Deviation (MAD)2
Skewness-0.88357359
Sum280
Variance8.0588235
MonotonicityNot monotonic
2024-03-14T11:27:35.868230image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
7 7
20.0%
10 6
17.1%
9 5
14.3%
8 4
11.4%
11 3
8.6%
3 3
8.6%
12 3
8.6%
6 2
 
5.7%
4 1
 
2.9%
0 1
 
2.9%
ValueCountFrequency (%)
0 1
 
2.9%
3 3
8.6%
4 1
 
2.9%
6 2
 
5.7%
7 7
20.0%
8 4
11.4%
9 5
14.3%
10 6
17.1%
11 3
8.6%
12 3
8.6%
ValueCountFrequency (%)
12 3
8.6%
11 3
8.6%
10 6
17.1%
9 5
14.3%
8 4
11.4%
7 7
20.0%
6 2
 
5.7%
4 1
 
2.9%
3 3
8.6%
0 1
 
2.9%

알루미늄
Real number (ℝ)

ZEROS 

Distinct6
Distinct (%)17.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.010857143
Minimum0
Maximum0.08
Zeros24
Zeros (%)68.6%
Negative0
Negative (%)0.0%
Memory size447.0 B
2024-03-14T11:27:35.949732image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30.02
95-th percentile0.046
Maximum0.08
Range0.08
Interquartile range (IQR)0.02

Descriptive statistics

Standard deviation0.019459071
Coefficient of variation (CV)1.7922829
Kurtosis4.2465125
Mean0.010857143
Median Absolute Deviation (MAD)0
Skewness2.0569859
Sum0.38
Variance0.00037865546
MonotonicityNot monotonic
2024-03-14T11:27:36.338554image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
0.0 24
68.6%
0.02 5
 
14.3%
0.04 2
 
5.7%
0.03 2
 
5.7%
0.06 1
 
2.9%
0.08 1
 
2.9%
ValueCountFrequency (%)
0.0 24
68.6%
0.02 5
 
14.3%
0.03 2
 
5.7%
0.04 2
 
5.7%
0.06 1
 
2.9%
0.08 1
 
2.9%
ValueCountFrequency (%)
0.08 1
 
2.9%
0.06 1
 
2.9%
0.04 2
 
5.7%
0.03 2
 
5.7%
0.02 5
 
14.3%
0.0 24
68.6%

데이터기준일자
Date

CONSTANT 

Distinct1
Distinct (%)2.9%
Missing0
Missing (%)0.0%
Memory size412.0 B
Minimum2017-11-20 00:00:00
Maximum2017-11-20 00:00:00
2024-03-14T11:27:36.417254image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T11:27:36.488371image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

자료출처
Categorical

CONSTANT 

Distinct1
Distinct (%)2.9%
Missing0
Missing (%)0.0%
Memory size412.0 B
보건환경연구원
35 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
보건환경연구원 35
100.0%

Length

2024-03-14T11:27:36.576347image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T11:27:36.662168image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
보건환경연구원 35
100.0%

Sample

정수장명관리기관명관리기관전화번호도로명주소채수일자검사기관명최종판정결과일반세균총대장균군대장균분원성대장균납불소비소셀레늄수은시안크롬암모니아질소질산성질소카드뮴보론페놀다이아지논파라티온페니트로티온카바릴트리클로에탄테트라클로로트리클로로사염화탄소디클로로에틸디클로로메탄벤젠톨루엔에틸벤젠크실렌디브로모클로다이옥산잔류염소트리할로메탄클로로포름브로모디클로디브로모디클로랄하이드디브로모아디클로로아세아세토니트릴아세틱에시드포름알데히드영향물질경도과망간산칼륨냄새맛동색도세제수소이온농도아연염소이온증발잔류물철망간탁도황산이온알루미늄데이터기준일자자료출처
0신흥정수장전라북도 익산시청063-859-4343전라북도 익산시 서동로 3612017-04-04전주시 맑음물사업소적합0불검출불검출불검출00.0000000.01.700.00000000000000.00000.00.970.0210.0090.0070.0030.01110.00230.003800.0110.0256.02.0없음없음0.0106.90.015.516800.00.0890.022017-11-20보건환경연구원
1금강정수장전라북도 익산시청063-859-4405전라북도 익산시 동천로 992017-04-04전주시 맑음물사업소적합0불검출불검출불검출00.0000000.01.600.00000000000000.00000.00.940.0080.0040.0040.00.00870.0020.002300.010.0270.02.7없음없음0.0107.00.014.116400.00.0890.042017-11-20보건환경연구원
2산성정수장K-water063-530-0231전라북도 정읍시 옹동면 태산로 2450-642017-09-05k-water적합0불검출불검출불검출00.0000000.01.600.020000000000000.00000.00.860.0450.0320.010.0030.00690.00130.003900.0190.051.01.0없음없음0.0007.40.01316.810500.00.09110.02017-11-20보건환경연구원
3위도정수장부안군청맑은물사업소063-580-3870전라북도 부안군 위도면 위도로 4322017-03-17전주대학교 농생명EM환경연구센터적합0불검출불검출불검출00.0000000.00.000.00000000000000.00000.0010.720.0440.0110.0150.0150.00430.00180.001600.0040.00.00.0없음없음0.0006.70.03134.210200.00.1470.02017-11-20보건환경연구원
4구천동정수장전라북도 무주군청063-320-2521전라북도 무주군 설천면 삼공리 877-42017-05-17전북보건환경연구원적합0불검출불검출불검출00.45000000.00.700.00000000000000.0010000.00.510.0160.0130.0030.00.00410.00120.002800.010.013.00.9적합적합0.009107.50.05.01800.00.0930.02017-11-20보건환경연구원
5안성정수장전라북도 무주군청063-320-2521전라북도 무주군 안성면 덕산리 1354-12017-05-17전북보건환경연구원적합0불검출불검출불검출00.0000000.01.100.00000000000000.00000.00.370.0490.0440.0050.00.00530.00170.007500.0120.012.01.6적합적합0.01107.50.044.43000.00.1230.02017-11-20보건환경연구원
6설천정수장전라북도 무주군청063-320-2521전라북도 무주군 설천면 신선길 272017-05-17전북보건환경연구원적합0불검출불검출불검출00.0000000.00.700.00000000000000.00000.00.250.0310.0270.0040.00.0040.00120.001900.010.017.01.6적합적합0.01107.60.06.13700.00.2240.02017-11-20보건환경연구원
7무풍정수장전라북도 무주군청063-320-2521전라북도 무주군 무풍면 탄방로 182017-05-17전북보건환경연구원적합0불검출불검출불검출00.0000000.01.200.00000000000000.00000.00.270.0140.0120.0020.00.00430.00130.004300.0110.012.00.9적합적합0.008107.40.0025.43800.00.1560.02017-11-20보건환경연구원
8무주정수장전라북도 무주군청063-320-2521전라북도 무주군 무주읍 신교로 572017-05-17전북보건환경연구원적합0불검출불검출불검출00.0000000.01.400.00000000000000.00000.00.360.0270.0220.0050.00.00290.00120.001400.0060.043.02.2적합적합0.028107.60.01516.89800.00.13110.062017-11-20보건환경연구원
9임실정수장전라북도 임실군청 상하수사업소063-640-2231전라북도 임실군 관촌면 방수2길1172017-03-09전라북도 보건환경연구원적합0불검출불검출불검출00.0000000.02.500.00000000000000.00000.00.30.0170.0130.0040.0010.00390.00160.002600.0380.0546.01.6없음없음0.0107.70.021.913600.00.08120.02017-11-20보건환경연구원
정수장명관리기관명관리기관전화번호도로명주소채수일자검사기관명최종판정결과일반세균총대장균군대장균분원성대장균납불소비소셀레늄수은시안크롬암모니아질소질산성질소카드뮴보론페놀다이아지논파라티온페니트로티온카바릴트리클로에탄테트라클로로트리클로로사염화탄소디클로로에틸디클로로메탄벤젠톨루엔에틸벤젠크실렌디브로모클로다이옥산잔류염소트리할로메탄클로로포름브로모디클로디브로모디클로랄하이드디브로모아디클로로아세아세토니트릴아세틱에시드포름알데히드영향물질경도과망간산칼륨냄새맛동색도세제수소이온농도아연염소이온증발잔류물철망간탁도황산이온알루미늄데이터기준일자자료출처
25월락정수장전라북도 남원시063-620-6883전라북도 남원시 도통동 5742016-10-06전라북도 보건환경연구원적합0불검출불검출불검출00.0000000.01.800.00000000000000.00000.00.940.0290.0230.0050.0010.00220.00.006100.0440.044.02.5없음없음0.0106.90.00312.68200.00.0970.02017-11-20보건환경연구원
26월락정수장전라북도 남원시063-620-6883전라북도 남원시 도통동 5742016-11-03전라북도 보건환경연구원적합0불검출불검출불검출00.0000000.01.500.00000000000000.00000.00.970.0110.0070.0030.0010.00140.00310.00200.0210.049.00.6없음없음0.0107.30.02913.98900.0060.2680.082017-11-20보건환경연구원
27월락정수장전라북도 남원시063-620-6883전라북도 남원시 도통동 5742016-12-05전라북도 보건환경연구원적합0불검출불검출불검출00.0000000.01.200.00000000000000.00000.00.570.0170.010.0050.0020.00240.0020.003700.0130.067.01.3없음없음0.0107.20.14920.27800.00.36100.02017-11-20보건환경연구원
28월락정수장전라북도 남원시063-620-6883전라북도 남원시 도통동 5742017-01-04전라북도 보건환경연구원적합0불검출불검출불검출00.0000000.00.300.00000000000000.00000.00.610.0110.0060.0040.0010.00180.00130.002100.0030.042.00.6없음없음0.0106.20.00.810100.0050.0900.022017-11-20보건환경연구원
29월락정수장전라북도 남원시063-620-6883전라북도 남원시 도통동 5742017-02-08전라북도 보건환경연구원적합0불검출불검출불검출00.0000000.01.700.00000000000000.00000.00.650.0340.0210.010.0030.00140.00140.001600.0680.06.80.52없음없음0.0107.40.01424.11800.0050.09100.022017-11-20보건환경연구원
30월락정수장전라북도 남원시063-620-6883전라북도 남원시 도통동 5742017-03-06전라북도 보건환경연구원적합0불검출불검출불검출00.0000000.02.200.00000000000000.00000.00.730.0140.00.00.00.00310.00160.001500.020.052.01.6없음없음0.029107.30.0521.010300.00.09100.042017-11-20보건환경연구원
31월락정수장전라북도 남원시063-620-6883전라북도 남원시 도통동 5742017-04-04전라북도 보건환경연구원적합0불검출불검출불검출00.0000000.01.900.00000000000000.00000.00.690.0160.0120.0030.0010.00370.00120.001900.00.054.00.6없음없음0.018107.70.02425.59500.0120.14120.02017-11-20보건환경연구원
32고산정수장한국수자원공사063-260-4182전라북도 완주군 고산면 송학길 272017-04-03전주시맑은물사업본부(수질관리과)적합0불검출불검출불검출00.0000000.01.200.00000000000000.00000.00.550.0140.0090.0050.00.00880.00110.002900.0130.0348.01.5없음없음0.0106.90.012.49100.00.0660.02017-11-20보건환경연구원
33복흥정수장전라북도 순창군청063-650-1733전라북도 순창군 복흥면 봉덕길 215-52017-03-08전주시맑은물사업본부적합0불검출불검출불검출00.0000000.03.000.00000000000000.00000.00.540.0130.00.0040.0060.00470.00180.001200.0050.032.01.1없음없음0.017106.70.08411.19700.00.1170.02017-11-20보건환경연구원
34적성정수장전라북도 순창군청063-650-1733전라북도 순창군 적성면 적성로 545-402017-03-08전주시맑은물사업본부적합0불검출불검출불검출00.0000000.01.200.00000000000000.00000.00.650.0230.0130.0090.0040.01130.0010.003800.0420.033.02.6없음없음0.0107.10.014.48800.00.0770.02017-11-20보건환경연구원