Overview

Dataset statistics

Number of variables70
Number of observations69
Missing cells137
Missing cells (%)2.8%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory38.9 KiB
Average record size in memory577.9 B

Variable types

Categorical51
Text3
DateTime1
Numeric14
Unsupported1

Alerts

Unnamed: 5 has constant value ""Constant
미생물검사결과(일반세균) has constant value ""Constant
미생물검사결과(총대장균군) has constant value ""Constant
미생물검사결과(분원성대장균군) has constant value ""Constant
최종판정결과 is highly imbalanced (62.5%)Imbalance
소독제및소독부산물검사결과(디브로모아세토니트릴) is highly imbalanced (50.9%)Imbalance
심미적영향물질검사결과(냄새) is highly imbalanced (62.5%)Imbalance
심미적영향물질검사결과(맛) is highly imbalanced (62.5%)Imbalance
Unnamed: 5 has 68 (98.6%) missing valuesMissing
Unnamed: 69 has 69 (100.0%) missing valuesMissing
Unnamed: 69 is an unsupported type, check if it needs cleaning or further analysisUnsupported
소독제및소독부산물검사결과(클로로포름) has 5 (7.2%) zerosZeros
소독제및소독부산물검사결과(브로모디클로로메탄) has 5 (7.2%) zerosZeros
소독제및소독부산물검사결과(디브로모디클로로메탄) has 7 (10.1%) zerosZeros
소독제및소독부산물검사결과(클로랄하이드레이트) has 27 (39.1%) zerosZeros
소독제및소독부산물검사결과(할로아세틱에시드) has 14 (20.3%) zerosZeros
심미적영향물질검사결과(과망간산칼륨소비량) has 1 (1.4%) zerosZeros

Reproduction

Analysis started2024-03-14 02:23:52.657640
Analysis finished2024-03-14 02:23:53.193936
Duration0.54 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

시군
Categorical

Distinct10
Distinct (%)14.5%
Missing0
Missing (%)0.0%
Memory size684.0 B
남원시
33 
임실군
18 
진안군
5 
무주군
5 
익산시
 
2
Other values (5)
6 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique4 ?
Unique (%)5.8%

Sample

1st row익산시
2nd row익산시
3rd row정읍시
4th row남원시
5th row남원시

Common Values

ValueCountFrequency (%)
남원시 33
47.8%
임실군 18
26.1%
진안군 5
 
7.2%
무주군 5
 
7.2%
익산시 2
 
2.9%
순창군 2
 
2.9%
정읍시 1
 
1.4%
완주군 1
 
1.4%
장수군 1
 
1.4%
부안군 1
 
1.4%

Length

2024-03-14T11:23:53.246079image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T11:23:53.341873image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
남원시 33
47.8%
임실군 18
26.1%
진안군 5
 
7.2%
무주군 5
 
7.2%
익산시 2
 
2.9%
순창군 2
 
2.9%
정읍시 1
 
1.4%
완주군 1
 
1.4%
장수군 1
 
1.4%
부안군 1
 
1.4%

정수장명
Categorical

Distinct21
Distinct (%)30.4%
Missing0
Missing (%)0.0%
Memory size684.0 B
월락정수장
33 
임실정수장
9 
강진정수장
9 
금강정수장
 
1
산성정수장
 
1
Other values (16)
16 

Length

Max length9
Median length5
Mean length5.0869565
Min length5

Unique

Unique18 ?
Unique (%)26.1%

Sample

1st row신흥정수장
2nd row금강정수장
3rd row산성정수장
4th row월락정수장
5th row월락정수장

Common Values

ValueCountFrequency (%)
월락정수장 33
47.8%
임실정수장 9
 
13.0%
강진정수장 9
 
13.0%
금강정수장 1
 
1.4%
산성정수장 1
 
1.4%
대둔산정수장 1
 
1.4%
수동정수장 1
 
1.4%
산암정수장 1
 
1.4%
삼락정수장 1
 
1.4%
월운정수장 1
 
1.4%
Other values (11) 11
 
15.9%

Length

2024-03-14T11:23:53.486274image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
월락정수장 33
47.8%
강진정수장 9
 
13.0%
임실정수장 9
 
13.0%
무주정수장 1
 
1.4%
신흥정수장 1
 
1.4%
무풍정수장 1
 
1.4%
복흥쌍치통합정수장 1
 
1.4%
적성정수장 1
 
1.4%
동화정수장 1
 
1.4%
안성정수장 1
 
1.4%
Other values (11) 11
 
15.9%

관리기관명
Categorical

Distinct10
Distinct (%)14.5%
Missing0
Missing (%)0.0%
Memory size684.0 B
전라북도 남원시청
33 
상하수도사업소
18 
진안군청
5 
전라북도 무주군
5 
전라북도 익산시청
 
2
Other values (5)
6 

Length

Max length14
Median length9
Mean length8.1304348
Min length4

Unique

Unique4 ?
Unique (%)5.8%

Sample

1st row전라북도 익산시청
2nd row전라북도 익산시청
3rd rowK-water 정읍권관리단
4th row전라북도 남원시청
5th row전라북도 남원시청

Common Values

ValueCountFrequency (%)
전라북도 남원시청 33
47.8%
상하수도사업소 18
26.1%
진안군청 5
 
7.2%
전라북도 무주군 5
 
7.2%
전라북도 익산시청 2
 
2.9%
전라북도 순창군청 2
 
2.9%
K-water 정읍권관리단 1
 
1.4%
전라북도 완주군청 1
 
1.4%
한국수자원공사 1
 
1.4%
수자원공사 부안댐관리단 1
 
1.4%

Length

2024-03-14T11:23:53.609196image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T11:23:53.708234image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
전라북도 43
37.7%
남원시청 33
28.9%
상하수도사업소 18
15.8%
진안군청 5
 
4.4%
무주군 5
 
4.4%
익산시청 2
 
1.8%
순창군청 2
 
1.8%
k-water 1
 
0.9%
정읍권관리단 1
 
0.9%
완주군청 1
 
0.9%
Other values (3) 3
 
2.6%

관리기관전화번호
Categorical

Distinct12
Distinct (%)17.4%
Missing0
Missing (%)0.0%
Memory size684.0 B
063-620-6873
33 
640-2231
9 
640-2237
9 
063-430-2524
5 
063-320-2523
5 
Other values (7)
8 

Length

Max length12
Median length12
Mean length10.956522
Min length8

Unique

Unique6 ?
Unique (%)8.7%

Sample

1st row063-859-4343
2nd row063-859-4405
3rd row063-530-0230
4th row063-620-6873
5th row063-620-6873

Common Values

ValueCountFrequency (%)
063-620-6873 33
47.8%
640-2231 9
 
13.0%
640-2237 9
 
13.0%
063-430-2524 5
 
7.2%
063-320-2523 5
 
7.2%
063-650-1733 2
 
2.9%
063-859-4343 1
 
1.4%
063-859-4405 1
 
1.4%
063-530-0230 1
 
1.4%
063-290-3383 1
 
1.4%
Other values (2) 2
 
2.9%

Length

2024-03-14T11:23:53.821629image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
063-620-6873 33
47.8%
640-2231 9
 
13.0%
640-2237 9
 
13.0%
063-430-2524 5
 
7.2%
063-320-2523 5
 
7.2%
063-650-1733 2
 
2.9%
063-859-4343 1
 
1.4%
063-859-4405 1
 
1.4%
063-530-0230 1
 
1.4%
063-290-3383 1
 
1.4%
Other values (2) 2
 
2.9%

소재지도로명주소
Categorical

Distinct20
Distinct (%)29.0%
Missing0
Missing (%)0.0%
Memory size684.0 B
남원시 오들1길 56(도통동)
33 
임실군 관촌면 방수2길117
9 
임실군 강진면 옥정호로248-8
9 
순창군 적성면 적성로 545-40
 
2
진안군 동상주천로 1806-97
 
1
Other values (15)
15 

Length

Max length19
Median length16
Mean length15.73913
Min length4

Unique

Unique16 ?
Unique (%)23.2%

Sample

1st row익산시 서동로 361
2nd row익산시 동천로 99
3rd row정읍시 옹동면 태산로 2450-64
4th row남원시 오들1길 56(도통동)
5th row남원시 오들1길 56(도통동)

Common Values

ValueCountFrequency (%)
남원시 오들1길 56(도통동) 33
47.8%
임실군 관촌면 방수2길117 9
 
13.0%
임실군 강진면 옥정호로248-8 9
 
13.0%
순창군 적성면 적성로 545-40 2
 
2.9%
진안군 동상주천로 1806-97 1
 
1.4%
정읍시 옹동면 태산로 2450-64 1
 
1.4%
완주군 봉동읍 삼봉로 920 1
 
1.4%
진안군 상전면 내송길 84 1
 
1.4%
진안군 진안읍 반월길 220-38 1
 
1.4%
진안군 안천면 안용로 170 1
 
1.4%
Other values (10) 10
 
14.5%

Length

2024-03-14T11:23:53.924609image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
남원시 33
15.1%
56(도통동 33
15.1%
오들1길 33
15.1%
임실군 18
 
8.2%
관촌면 9
 
4.1%
방수2길117 9
 
4.1%
강진면 9
 
4.1%
옥정호로248-8 9
 
4.1%
진안군 5
 
2.3%
무주군 4
 
1.8%
Other values (52) 57
26.0%

Unnamed: 5
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing68
Missing (%)98.6%
Memory size684.0 B
2024-03-14T11:23:54.035149image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length18
Median length18
Mean length18
Min length18

Characters and Unicode

Total characters18
Distinct characters14
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

Unique1 ?
Unique (%)100.0%

Sample

1st row무주군 설천면 삼공리 877-4
ValueCountFrequency (%)
무주군 1
25.0%
설천면 1
25.0%
삼공리 1
25.0%
877-4 1
25.0%
2024-03-14T11:23:54.235309image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
4
22.2%
7 2
11.1%
무 1
 
5.6%
주 1
 
5.6%
군 1
 
5.6%
설 1
 
5.6%
천 1
 
5.6%
면 1
 
5.6%
삼 1
 
5.6%
공 1
 
5.6%
Other values (4) 4
22.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 9
50.0%
Space Separator 4
22.2%
Decimal Number 4
22.2%
Dash Punctuation 1
 
5.6%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
무 1
11.1%
주 1
11.1%
군 1
11.1%
설 1
11.1%
천 1
11.1%
면 1
11.1%
삼 1
11.1%
공 1
11.1%
리 1
11.1%
Decimal Number
ValueCountFrequency (%)
7 2
50.0%
8 1
25.0%
4 1
25.0%
Space Separator
ValueCountFrequency (%)
4
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 9
50.0%
Hangul 9
50.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
무 1
11.1%
주 1
11.1%
군 1
11.1%
설 1
11.1%
천 1
11.1%
면 1
11.1%
삼 1
11.1%
공 1
11.1%
리 1
11.1%
Common
ValueCountFrequency (%)
4
44.4%
7 2
22.2%
8 1
 
11.1%
- 1
 
11.1%
4 1
 
11.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 9
50.0%
Hangul 9
50.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
4
44.4%
7 2
22.2%
8 1
 
11.1%
- 1
 
11.1%
4 1
 
11.1%
Hangul
ValueCountFrequency (%)
무 1
11.1%
주 1
11.1%
군 1
11.1%
설 1
11.1%
천 1
11.1%
면 1
11.1%
삼 1
11.1%
공 1
11.1%
리 1
11.1%

채수일자
Date

Distinct53
Distinct (%)76.8%
Missing0
Missing (%)0.0%
Memory size684.0 B
Minimum2013-01-11 00:00:00
Maximum2015-09-22 00:00:00
2024-03-14T11:23:54.392942image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T11:23:54.614498image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

검사기관명
Categorical

Distinct8
Distinct (%)11.6%
Missing0
Missing (%)0.0%
Memory size684.0 B
전라북도 보건환경연구원
33 
전북보건환경연구원
23 
전라북도보건환경연구원
5 
전주시 맑음물사업소
 
2
한국수자원공사
 
2
Other values (3)
4 

Length

Max length21
Median length16
Mean length10.855072
Min length7

Unique

Unique2 ?
Unique (%)2.9%

Sample

1st row전주시 맑음물사업소
2nd row전주시 맑음물사업소
3rd row K-water 전북지역본부 수질검사소
4th row전라북도 보건환경연구원
5th row전라북도 보건환경연구원

Common Values

ValueCountFrequency (%)
전라북도 보건환경연구원 33
47.8%
전북보건환경연구원 23
33.3%
전라북도보건환경연구원 5
 
7.2%
전주시 맑음물사업소 2
 
2.9%
한국수자원공사 2
 
2.9%
전주시 맑은물사업소 2
 
2.9%
K-water 전북지역본부 수질검사소 1
 
1.4%
전라북도 완주군 상하수도사업소 1
 
1.4%

Length

2024-03-14T11:23:54.723157image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T11:23:54.817113image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
전라북도 34
30.9%
보건환경연구원 33
30.0%
전북보건환경연구원 23
20.9%
전라북도보건환경연구원 5
 
4.5%
전주시 4
 
3.6%
맑음물사업소 2
 
1.8%
한국수자원공사 2
 
1.8%
맑은물사업소 2
 
1.8%
k-water 1
 
0.9%
전북지역본부 1
 
0.9%
Other values (3) 3
 
2.7%

최종판정결과
Categorical

IMBALANCE 

Distinct2
Distinct (%)2.9%
Missing0
Missing (%)0.0%
Memory size684.0 B
적합
64 
20150807
 
5

Length

Max length8
Median length2
Mean length2.4347826
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
적합 64
92.8%
20150807 5
 
7.2%

Length

2024-03-14T11:23:54.925710image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T11:23:55.023016image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
적합 64
92.8%
20150807 5
 
7.2%

미생물검사결과(일반세균)
Categorical

CONSTANT 

Distinct1
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Memory size684.0 B
0
69 

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 69
100.0%

Length

2024-03-14T11:23:55.104721image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T11:23:55.192946image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 69
100.0%

미생물검사결과(총대장균군)
Categorical

CONSTANT 

Distinct1
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Memory size684.0 B
불검출
69 

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 69
100.0%

Length

2024-03-14T11:23:55.272552image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T11:23:55.351351image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
불검출 69
100.0%

미생물검사결과(대장균)
Categorical

Distinct2
Distinct (%)2.9%
Missing0
Missing (%)0.0%
Memory size684.0 B
불검출
59 
<NA>
10 

Length

Max length4
Median length3
Mean length3.1449275
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
불검출 59
85.5%
<NA> 10
 
14.5%

Length

2024-03-14T11:23:55.436275image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T11:23:55.513266image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
불검출 59
85.5%
na 10
 
14.5%

미생물검사결과(분원성대장균군)
Categorical

CONSTANT 

Distinct1
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Memory size684.0 B
불검출
69 

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 69
100.0%

Length

2024-03-14T11:23:55.591326image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T11:23:55.889222image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
불검출 69
100.0%

건강상유해영향무기물질검사결과(납)
Categorical

Distinct2
Distinct (%)2.9%
Missing0
Missing (%)0.0%
Memory size684.0 B
0
49 
불검출
20 

Length

Max length3
Median length1
Mean length1.5797101
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 49
71.0%
불검출 20
29.0%

Length

2024-03-14T11:23:55.971066image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T11:23:56.055622image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 49
71.0%
불검출 20
29.0%

건강상유해영향무기물질검사결과(불소)
Categorical

Distinct10
Distinct (%)14.5%
Missing0
Missing (%)0.0%
Memory size684.0 B
0
39 
불검출
18 
0.3
4 
0.19
 
2
0.17
 
1
Other values (5)
5 

Length

Max length4
Median length1
Mean length1.9710145
Min length1

Unique

Unique6 ?
Unique (%)8.7%

Sample

1st row0
2nd row0.17
3rd row불검출
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 39
56.5%
불검출 18
26.1%
0.3 4
 
5.8%
0.19 2
 
2.9%
0.17 1
 
1.4%
0.48 1
 
1.4%
0.23 1
 
1.4%
0.21 1
 
1.4%
0.81 1
 
1.4%
0.2 1
 
1.4%

Length

2024-03-14T11:23:56.136194image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T11:23:56.230103image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 39
56.5%
불검출 18
26.1%
0.3 4
 
5.8%
0.19 2
 
2.9%
0.17 1
 
1.4%
0.48 1
 
1.4%
0.23 1
 
1.4%
0.21 1
 
1.4%
0.81 1
 
1.4%
0.2 1
 
1.4%

건강상유해영향무기물질검사결과(비소)
Categorical

Distinct2
Distinct (%)2.9%
Missing0
Missing (%)0.0%
Memory size684.0 B
0
50 
불검출
19 

Length

Max length3
Median length1
Mean length1.5507246
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 50
72.5%
불검출 19
 
27.5%

Length

2024-03-14T11:23:56.338078image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T11:23:56.422722image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 50
72.5%
불검출 19
 
27.5%

건강상유해영향무기물질검사결과(셀레늄)
Categorical

Distinct2
Distinct (%)2.9%
Missing0
Missing (%)0.0%
Memory size684.0 B
0
50 
불검출
19 

Length

Max length3
Median length1
Mean length1.5507246
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 50
72.5%
불검출 19
 
27.5%

Length

2024-03-14T11:23:56.515513image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T11:23:56.666859image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 50
72.5%
불검출 19
 
27.5%

건강상유해영향무기물질검사결과(수은)
Categorical

Distinct2
Distinct (%)2.9%
Missing0
Missing (%)0.0%
Memory size684.0 B
0
50 
불검출
19 

Length

Max length3
Median length1
Mean length1.5507246
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 50
72.5%
불검출 19
 
27.5%

Length

2024-03-14T11:23:56.816104image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T11:23:56.900694image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 50
72.5%
불검출 19
 
27.5%

건강상유해영향무기물질검사결과(시안)
Categorical

Distinct2
Distinct (%)2.9%
Missing0
Missing (%)0.0%
Memory size684.0 B
0
50 
불검출
19 

Length

Max length3
Median length1
Mean length1.5507246
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 50
72.5%
불검출 19
 
27.5%

Length

2024-03-14T11:23:56.995797image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T11:23:57.089405image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 50
72.5%
불검출 19
 
27.5%

건강상유해영향무기물질검사결과(크롬)
Categorical

Distinct2
Distinct (%)2.9%
Missing0
Missing (%)0.0%
Memory size684.0 B
0
50 
불검출
19 

Length

Max length3
Median length1
Mean length1.5507246
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 50
72.5%
불검출 19
 
27.5%

Length

2024-03-14T11:23:57.206493image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T11:23:57.308240image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 50
72.5%
불검출 19
 
27.5%

건강상유해영향무기물질검사결과(암모니아성질소)
Categorical

Distinct2
Distinct (%)2.9%
Missing0
Missing (%)0.0%
Memory size684.0 B
0
50 
불검출
19 

Length

Max length3
Median length1
Mean length1.5507246
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 50
72.5%
불검출 19
 
27.5%

Length

2024-03-14T11:23:57.396637image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T11:23:57.478549image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 50
72.5%
불검출 19
 
27.5%

건강상유해영향무기물질검사결과(질산성질소)
Real number (ℝ)

Distinct25
Distinct (%)36.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.5130435
Minimum0.2
Maximum5.3
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size753.0 B
2024-03-14T11:23:57.559915image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0.2
5-th percentile0.64
Q11
median1.5
Q31.9
95-th percentile2.4
Maximum5.3
Range5.1
Interquartile range (IQR)0.9

Descriptive statistics

Standard deviation0.76483621
Coefficient of variation (CV)0.50549519
Kurtosis8.994008
Mean1.5130435
Median Absolute Deviation (MAD)0.4
Skewness2.2014183
Sum104.4
Variance0.58497442
MonotonicityNot monotonic
2024-03-14T11:23:57.660772image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%)
1.0 7
 
10.1%
1.5 7
 
10.1%
1.6 7
 
10.1%
1.4 6
 
8.7%
1.1 5
 
7.2%
2.0 4
 
5.8%
0.9 4
 
5.8%
2.1 3
 
4.3%
1.2 3
 
4.3%
1.9 3
 
4.3%
Other values (15) 20
29.0%
ValueCountFrequency (%)
0.2 1
 
1.4%
0.3 1
 
1.4%
0.4 1
 
1.4%
0.6 1
 
1.4%
0.7 1
 
1.4%
0.8 3
4.3%
0.9 4
5.8%
1.0 7
10.1%
1.1 5
7.2%
1.2 3
4.3%
ValueCountFrequency (%)
5.3 1
 
1.4%
4.0 1
 
1.4%
2.7 1
 
1.4%
2.4 2
2.9%
2.3 1
 
1.4%
2.2 2
2.9%
2.1 3
4.3%
2.0 4
5.8%
1.9 3
4.3%
1.8 1
 
1.4%

건강상유해영향무기물질검사결과(카드뮴)
Categorical

Distinct2
Distinct (%)2.9%
Missing0
Missing (%)0.0%
Memory size684.0 B
0
50 
불검출
19 

Length

Max length3
Median length1
Mean length1.5507246
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 50
72.5%
불검출 19
 
27.5%

Length

2024-03-14T11:23:57.775371image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T11:23:57.862040image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 50
72.5%
불검출 19
 
27.5%

건강상유해영향무기물질검사결과(보론)
Categorical

Distinct4
Distinct (%)5.8%
Missing0
Missing (%)0.0%
Memory size684.0 B
0
45 
불검출
17 
0.01
5 
0.02
 
2

Length

Max length4
Median length1
Mean length1.7971014
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0.01
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 45
65.2%
불검출 17
 
24.6%
0.01 5
 
7.2%
0.02 2
 
2.9%

Length

2024-03-14T11:23:57.955931image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T11:23:58.040934image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 45
65.2%
불검출 17
 
24.6%
0.01 5
 
7.2%
0.02 2
 
2.9%

건강상유해영향유기물질검사결과(페놀)
Categorical

Distinct2
Distinct (%)2.9%
Missing0
Missing (%)0.0%
Memory size684.0 B
0
50 
불검출
19 

Length

Max length3
Median length1
Mean length1.5507246
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 50
72.5%
불검출 19
 
27.5%

Length

2024-03-14T11:23:58.141863image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T11:23:58.239057image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 50
72.5%
불검출 19
 
27.5%

건강상유해영향유기물질검사결과(다이아지논)
Categorical

Distinct2
Distinct (%)2.9%
Missing0
Missing (%)0.0%
Memory size684.0 B
0
50 
불검출
19 

Length

Max length3
Median length1
Mean length1.5507246
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 50
72.5%
불검출 19
 
27.5%

Length

2024-03-14T11:23:58.326881image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T11:23:58.414428image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 50
72.5%
불검출 19
 
27.5%

건강상유해영향유기물질검사결과(파라티온)
Categorical

Distinct2
Distinct (%)2.9%
Missing0
Missing (%)0.0%
Memory size684.0 B
0
50 
불검출
19 

Length

Max length3
Median length1
Mean length1.5507246
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 50
72.5%
불검출 19
 
27.5%

Length

2024-03-14T11:23:58.502017image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T11:23:58.585296image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 50
72.5%
불검출 19
 
27.5%

건강상유해영향유기물질검사결과(페니트로티온)
Categorical

Distinct2
Distinct (%)2.9%
Missing0
Missing (%)0.0%
Memory size684.0 B
0
50 
불검출
19 

Length

Max length3
Median length1
Mean length1.5507246
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 50
72.5%
불검출 19
 
27.5%

Length

2024-03-14T11:23:58.680783image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T11:23:58.797969image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 50
72.5%
불검출 19
 
27.5%

건강상유해영향유기물질검사결과(카바릴)
Categorical

Distinct2
Distinct (%)2.9%
Missing0
Missing (%)0.0%
Memory size684.0 B
0
50 
불검출
19 

Length

Max length3
Median length1
Mean length1.5507246
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 50
72.5%
불검출 19
 
27.5%

Length

2024-03-14T11:23:58.985255image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T11:23:59.079458image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 50
72.5%
불검출 19
 
27.5%

건강상유해영향유기물질검사결과(1.1.1-트리클로로에탄)
Categorical

Distinct2
Distinct (%)2.9%
Missing0
Missing (%)0.0%
Memory size684.0 B
0
50 
불검출
19 

Length

Max length3
Median length1
Mean length1.5507246
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 50
72.5%
불검출 19
 
27.5%

Length

2024-03-14T11:23:59.167462image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T11:23:59.264706image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 50
72.5%
불검출 19
 
27.5%

건강상유해영향유기물질검사결과(테트라클로로에틸렌)
Categorical

Distinct2
Distinct (%)2.9%
Missing0
Missing (%)0.0%
Memory size684.0 B
0
50 
불검출
19 

Length

Max length3
Median length1
Mean length1.5507246
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 50
72.5%
불검출 19
 
27.5%

Length

2024-03-14T11:23:59.376812image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T11:23:59.464353image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 50
72.5%
불검출 19
 
27.5%

건강상유해영향유기물질검사결과(트리클로로에틸렌)
Categorical

Distinct2
Distinct (%)2.9%
Missing0
Missing (%)0.0%
Memory size684.0 B
0
50 
불검출
19 

Length

Max length3
Median length1
Mean length1.5507246
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 50
72.5%
불검출 19
 
27.5%

Length

2024-03-14T11:23:59.551636image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T11:23:59.644146image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 50
72.5%
불검출 19
 
27.5%

건강상유해영향유기물질검사결과(사염화탄소)
Categorical

Distinct2
Distinct (%)2.9%
Missing0
Missing (%)0.0%
Memory size684.0 B
0
50 
불검출
19 

Length

Max length3
Median length1
Mean length1.5507246
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 50
72.5%
불검출 19
 
27.5%

Length

2024-03-14T11:23:59.731058image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T11:23:59.834960image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 50
72.5%
불검출 19
 
27.5%

건강상유해영향유기물질검사결과(1,1-디클로로에틸렌)
Categorical

Distinct2
Distinct (%)2.9%
Missing0
Missing (%)0.0%
Memory size684.0 B
0
50 
불검출
19 

Length

Max length3
Median length1
Mean length1.5507246
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 50
72.5%
불검출 19
 
27.5%

Length

2024-03-14T11:23:59.928849image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T11:24:00.011939image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 50
72.5%
불검출 19
 
27.5%

건강상유해영향유기물질검사결과(디클로로메탄)
Categorical

Distinct2
Distinct (%)2.9%
Missing0
Missing (%)0.0%
Memory size684.0 B
0
50 
불검출
19 

Length

Max length3
Median length1
Mean length1.5507246
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 50
72.5%
불검출 19
 
27.5%

Length

2024-03-14T11:24:00.116049image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T11:24:00.224826image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 50
72.5%
불검출 19
 
27.5%

건강상유해영향유기물질검사결과(벤젠)
Categorical

Distinct2
Distinct (%)2.9%
Missing0
Missing (%)0.0%
Memory size684.0 B
0
50 
불검출
19 

Length

Max length3
Median length1
Mean length1.5507246
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 50
72.5%
불검출 19
 
27.5%

Length

2024-03-14T11:24:00.316485image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T11:24:00.399687image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 50
72.5%
불검출 19
 
27.5%

건강상유해영향유기물질검사결과(톨루엔)
Categorical

Distinct3
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Memory size684.0 B
0
49 
불검출
19 
0.006
 
1

Length

Max length5
Median length1
Mean length1.6086957
Min length1

Unique

Unique1 ?
Unique (%)1.4%

Sample

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

Common Values

ValueCountFrequency (%)
0 49
71.0%
불검출 19
 
27.5%
0.006 1
 
1.4%

Length

2024-03-14T11:24:00.495381image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T11:24:00.584628image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 49
71.0%
불검출 19
 
27.5%
0.006 1
 
1.4%

건강상유해영향유기물질검사결과(에틸벤젠)
Categorical

Distinct3
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Memory size684.0 B
0
49 
불검출
19 
0.002
 
1

Length

Max length5
Median length1
Mean length1.6086957
Min length1

Unique

Unique1 ?
Unique (%)1.4%

Sample

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

Common Values

ValueCountFrequency (%)
0 49
71.0%
불검출 19
 
27.5%
0.002 1
 
1.4%

Length

2024-03-14T11:24:00.674510image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T11:24:00.759399image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 49
71.0%
불검출 19
 
27.5%
0.002 1
 
1.4%

건강상유해영향유기물질검사결과(크실렌)
Categorical

Distinct3
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Memory size684.0 B
0
49 
불검출
19 
0.012
 
1

Length

Max length5
Median length1
Mean length1.6086957
Min length1

Unique

Unique1 ?
Unique (%)1.4%

Sample

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

Common Values

ValueCountFrequency (%)
0 49
71.0%
불검출 19
 
27.5%
0.012 1
 
1.4%

Length

2024-03-14T11:24:00.850963image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T11:24:00.937116image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 49
71.0%
불검출 19
 
27.5%
0.012 1
 
1.4%

건강상유해영향유기물질검사결과(1,2-디브로모-3-클로로프로판)
Categorical

Distinct2
Distinct (%)2.9%
Missing0
Missing (%)0.0%
Memory size684.0 B
0
50 
불검출
19 

Length

Max length3
Median length1
Mean length1.5507246
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 50
72.5%
불검출 19
 
27.5%

Length

2024-03-14T11:24:01.081272image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T11:24:01.230401image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 50
72.5%
불검출 19
 
27.5%

건강상유해영향유기물질검사결과(1,4-다이옥산)
Categorical

Distinct2
Distinct (%)2.9%
Missing0
Missing (%)0.0%
Memory size684.0 B
0
50 
불검출
19 

Length

Max length3
Median length1
Mean length1.5507246
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 50
72.5%
불검출 19
 
27.5%

Length

2024-03-14T11:24:01.344070image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T11:24:01.469867image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 50
72.5%
불검출 19
 
27.5%

소독제및소독부산물검사결과(잔류염소)
Real number (ℝ)

Distinct29
Distinct (%)42.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.6242029
Minimum0.1
Maximum1.24
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size753.0 B
2024-03-14T11:24:01.557865image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0.1
5-th percentile0.2
Q10.4
median0.73
Q30.82
95-th percentile0.91
Maximum1.24
Range1.14
Interquartile range (IQR)0.42

Descriptive statistics

Standard deviation0.25952108
Coefficient of variation (CV)0.41576399
Kurtosis-0.72634417
Mean0.6242029
Median Absolute Deviation (MAD)0.17
Skewness-0.16406938
Sum43.07
Variance0.067351194
MonotonicityNot monotonic
2024-03-14T11:24:01.669408image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=29)
ValueCountFrequency (%)
0.4 18
26.1%
0.81 4
 
5.8%
0.1 3
 
4.3%
0.79 3
 
4.3%
0.74 3
 
4.3%
0.72 3
 
4.3%
0.3 3
 
4.3%
0.2 2
 
2.9%
0.91 2
 
2.9%
0.83 2
 
2.9%
Other values (19) 26
37.7%
ValueCountFrequency (%)
0.1 3
 
4.3%
0.2 2
 
2.9%
0.3 3
 
4.3%
0.4 18
26.1%
0.42 1
 
1.4%
0.45 1
 
1.4%
0.5 1
 
1.4%
0.6 1
 
1.4%
0.71 1
 
1.4%
0.72 3
 
4.3%
ValueCountFrequency (%)
1.24 1
1.4%
1.15 1
1.4%
1.02 1
1.4%
0.91 2
2.9%
0.9 1
1.4%
0.89 1
1.4%
0.88 2
2.9%
0.87 2
2.9%
0.85 1
1.4%
0.84 2
2.9%

소독제및소독부산물검사결과(총트리할로메탄)
Text

Distinct41
Distinct (%)59.4%
Missing0
Missing (%)0.0%
Memory size684.0 B
2024-03-14T11:24:01.833128image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length6
Median length5
Mean length4.7391304
Min length1

Characters and Unicode

Total characters327
Distinct characters11
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique25 ?
Unique (%)36.2%

Sample

1st row0.032
2nd row0.021
3rd row0.024
4th row0
5th row0.006
ValueCountFrequency (%)
0.021 4
 
5.8%
0.009 4
 
5.8%
0.015 4
 
5.8%
0 3
 
4.3%
0.006 3
 
4.3%
0.013 3
 
4.3%
0.03 3
 
4.3%
0.017 3
 
4.3%
0.01 3
 
4.3%
0.018 2
 
2.9%
Other values (31) 37
53.6%
2024-03-14T11:24:02.130397image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 146
44.6%
. 67
20.5%
1 27
 
8.3%
3 19
 
5.8%
2 18
 
5.5%
5 11
 
3.4%
4 11
 
3.4%
9 8
 
2.4%
7 8
 
2.4%
6 7
 
2.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 260
79.5%
Other Punctuation 67
 
20.5%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 146
56.2%
1 27
 
10.4%
3 19
 
7.3%
2 18
 
6.9%
5 11
 
4.2%
4 11
 
4.2%
9 8
 
3.1%
7 8
 
3.1%
6 7
 
2.7%
8 5
 
1.9%
Other Punctuation
ValueCountFrequency (%)
. 67
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 327
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 146
44.6%
. 67
20.5%
1 27
 
8.3%
3 19
 
5.8%
2 18
 
5.5%
5 11
 
3.4%
4 11
 
3.4%
9 8
 
2.4%
7 8
 
2.4%
6 7
 
2.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 327
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 146
44.6%
. 67
20.5%
1 27
 
8.3%
3 19
 
5.8%
2 18
 
5.5%
5 11
 
3.4%
4 11
 
3.4%
9 8
 
2.4%
7 8
 
2.4%
6 7
 
2.1%

소독제및소독부산물검사결과(클로로포름)
Real number (ℝ)

ZEROS 

Distinct36
Distinct (%)52.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.014695652
Minimum0
Maximum0.059
Zeros5
Zeros (%)7.2%
Negative0
Negative (%)0.0%
Memory size753.0 B
2024-03-14T11:24:02.238520image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10.006
median0.011
Q30.022
95-th percentile0.0342
Maximum0.059
Range0.059
Interquartile range (IQR)0.016

Descriptive statistics

Standard deviation0.011864808
Coefficient of variation (CV)0.80736856
Kurtosis1.7134098
Mean0.014695652
Median Absolute Deviation (MAD)0.007
Skewness1.1492141
Sum1.014
Variance0.00014077366
MonotonicityNot monotonic
2024-03-14T11:24:02.587920image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=36)
ValueCountFrequency (%)
0.0 5
 
7.2%
0.005 5
 
7.2%
0.008 4
 
5.8%
0.007 4
 
5.8%
0.006 4
 
5.8%
0.011 3
 
4.3%
0.026 3
 
4.3%
0.003 3
 
4.3%
0.018 2
 
2.9%
0.014 2
 
2.9%
Other values (26) 34
49.3%
ValueCountFrequency (%)
0.0 5
7.2%
0.001 1
 
1.4%
0.002 1
 
1.4%
0.003 3
4.3%
0.004 2
 
2.9%
0.005 5
7.2%
0.006 4
5.8%
0.007 4
5.8%
0.008 4
5.8%
0.009 1
 
1.4%
ValueCountFrequency (%)
0.059 1
1.4%
0.043 1
1.4%
0.04 1
1.4%
0.035 1
1.4%
0.033 1
1.4%
0.032 1
1.4%
0.03 1
1.4%
0.029 1
1.4%
0.028 1
1.4%
0.027 1
1.4%

소독제및소독부산물검사결과(브로모디클로로메탄)
Real number (ℝ)

ZEROS 

Distinct15
Distinct (%)21.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.005826087
Minimum0
Maximum0.014
Zeros5
Zeros (%)7.2%
Negative0
Negative (%)0.0%
Memory size753.0 B
2024-03-14T11:24:02.672019image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10.004
median0.006
Q30.008
95-th percentile0.012
Maximum0.014
Range0.014
Interquartile range (IQR)0.004

Descriptive statistics

Standard deviation0.0033252887
Coefficient of variation (CV)0.5707585
Kurtosis-0.14491409
Mean0.005826087
Median Absolute Deviation (MAD)0.002
Skewness0.35202495
Sum0.402
Variance1.1057545 × 10-5
MonotonicityNot monotonic
2024-03-14T11:24:02.767314image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=15)
ValueCountFrequency (%)
0.006 9
13.0%
0.004 9
13.0%
0.005 9
13.0%
0.007 7
10.1%
0.003 6
8.7%
0.008 5
7.2%
0.0 5
7.2%
0.01 4
5.8%
0.002 4
5.8%
0.009 4
5.8%
Other values (5) 7
10.1%
ValueCountFrequency (%)
0.0 5
7.2%
0.001 1
 
1.4%
0.002 4
5.8%
0.003 6
8.7%
0.004 9
13.0%
0.005 9
13.0%
0.006 9
13.0%
0.007 7
10.1%
0.008 5
7.2%
0.009 4
5.8%
ValueCountFrequency (%)
0.014 1
 
1.4%
0.013 2
 
2.9%
0.012 2
 
2.9%
0.011 1
 
1.4%
0.01 4
5.8%
0.009 4
5.8%
0.008 5
7.2%
0.007 7
10.1%
0.006 9
13.0%
0.005 9
13.0%

소독제및소독부산물검사결과(디브로모디클로로메탄)
Real number (ℝ)

ZEROS 

Distinct9
Distinct (%)13.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.0021884058
Minimum0
Maximum0.011
Zeros7
Zeros (%)10.1%
Negative0
Negative (%)0.0%
Memory size753.0 B
2024-03-14T11:24:02.857269image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10.001
median0.002
Q30.002
95-th percentile0.005
Maximum0.011
Range0.011
Interquartile range (IQR)0.001

Descriptive statistics

Standard deviation0.001934785
Coefficient of variation (CV)0.88410705
Kurtosis8.0270035
Mean0.0021884058
Median Absolute Deviation (MAD)0.001
Skewness2.4730215
Sum0.151
Variance3.743393 × 10-6
MonotonicityNot monotonic
2024-03-14T11:24:02.943358image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
0.002 29
42.0%
0.001 17
24.6%
0.0 7
 
10.1%
0.003 7
 
10.1%
0.004 3
 
4.3%
0.005 3
 
4.3%
0.011 1
 
1.4%
0.008 1
 
1.4%
0.009 1
 
1.4%
ValueCountFrequency (%)
0.0 7
 
10.1%
0.001 17
24.6%
0.002 29
42.0%
0.003 7
 
10.1%
0.004 3
 
4.3%
0.005 3
 
4.3%
0.008 1
 
1.4%
0.009 1
 
1.4%
0.011 1
 
1.4%
ValueCountFrequency (%)
0.011 1
 
1.4%
0.009 1
 
1.4%
0.008 1
 
1.4%
0.005 3
 
4.3%
0.004 3
 
4.3%
0.003 7
 
10.1%
0.002 29
42.0%
0.001 17
24.6%
0.0 7
 
10.1%

소독제및소독부산물검사결과(클로랄하이드레이트)
Real number (ℝ)

ZEROS 

Distinct35
Distinct (%)50.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.0037449275
Minimum0
Maximum0.0129
Zeros27
Zeros (%)39.1%
Negative0
Negative (%)0.0%
Memory size753.0 B
2024-03-14T11:24:03.037975image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0.0045
Q30.0065
95-th percentile0.00848
Maximum0.0129
Range0.0129
Interquartile range (IQR)0.0065

Descriptive statistics

Standard deviation0.0034207643
Coefficient of variation (CV)0.91343938
Kurtosis-1.026397
Mean0.0037449275
Median Absolute Deviation (MAD)0.0033
Skewness0.23581796
Sum0.2584
Variance1.1701628 × 10-5
MonotonicityNot monotonic
2024-03-14T11:24:03.159158image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=35)
ValueCountFrequency (%)
0.0 27
39.1%
0.0071 2
 
2.9%
0.0063 2
 
2.9%
0.0067 2
 
2.9%
0.0083 2
 
2.9%
0.0056 2
 
2.9%
0.0055 2
 
2.9%
0.0072 2
 
2.9%
0.0046 2
 
2.9%
0.0073 1
 
1.4%
Other values (25) 25
36.2%
ValueCountFrequency (%)
0.0 27
39.1%
0.0012 1
 
1.4%
0.003 1
 
1.4%
0.0036 1
 
1.4%
0.0038 1
 
1.4%
0.0039 1
 
1.4%
0.004 1
 
1.4%
0.0041 1
 
1.4%
0.0045 1
 
1.4%
0.0046 2
 
2.9%
ValueCountFrequency (%)
0.0129 1
1.4%
0.0097 1
1.4%
0.0092 1
1.4%
0.0086 1
1.4%
0.0083 2
2.9%
0.0082 1
1.4%
0.0076 1
1.4%
0.0074 1
1.4%
0.0073 1
1.4%
0.0072 2
2.9%

소독제및소독부산물검사결과(디브로모아세토니트릴)
Categorical

IMBALANCE 

Distinct11
Distinct (%)15.9%
Missing0
Missing (%)0.0%
Memory size684.0 B
0
46 
불검출
13 
0.0062
 
2
0.0065
 
1
0.0048
 
1
Other values (6)
6 

Length

Max length6
Median length1
Mean length2.1014493
Min length1

Unique

Unique8 ?
Unique (%)11.6%

Sample

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

Common Values

ValueCountFrequency (%)
0 46
66.7%
불검출 13
 
18.8%
0.0062 2
 
2.9%
0.0065 1
 
1.4%
0.0048 1
 
1.4%
0.0063 1
 
1.4%
0.0064 1
 
1.4%
0.0053 1
 
1.4%
0.0045 1
 
1.4%
0.0059 1
 
1.4%

Length

2024-03-14T11:24:03.304005image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
0 46
66.7%
불검출 13
 
18.8%
0.0062 2
 
2.9%
0.0065 1
 
1.4%
0.0048 1
 
1.4%
0.0063 1
 
1.4%
0.0064 1
 
1.4%
0.0053 1
 
1.4%
0.0045 1
 
1.4%
0.0059 1
 
1.4%

소독제및소독부산물검사결과(디클로로아세토니트릴)
Text

Distinct36
Distinct (%)52.2%
Missing0
Missing (%)0.0%
Memory size684.0 B
2024-03-14T11:24:03.504340image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length6
Median length6
Mean length4.1449275
Min length1

Characters and Unicode

Total characters286
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

Unique28 ?
Unique (%)40.6%

Sample

1st row0
2nd row0
3rd row0.0017
4th row0
5th row0
ValueCountFrequency (%)
0 24
34.8%
0.0044 3
 
4.3%
0.0048 3
 
4.3%
0.0049 3
 
4.3%
0.0057 2
 
2.9%
0.0038 2
 
2.9%
불검출 2
 
2.9%
0.0036 2
 
2.9%
0.007 1
 
1.4%
0.0051 1
 
1.4%
Other values (26) 26
37.7%
2024-03-14T11:24:03.745197image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 152
53.1%
. 43
 
15.0%
4 21
 
7.3%
3 11
 
3.8%
5 10
 
3.5%
7 9
 
3.1%
6 9
 
3.1%
9 7
 
2.4%
1 7
 
2.4%
8 6
 
2.1%
Other values (4) 11
 
3.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 237
82.9%
Other Punctuation 43
 
15.0%
Other Letter 6
 
2.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 152
64.1%
4 21
 
8.9%
3 11
 
4.6%
5 10
 
4.2%
7 9
 
3.8%
6 9
 
3.8%
9 7
 
3.0%
1 7
 
3.0%
8 6
 
2.5%
2 5
 
2.1%
Other Letter
ValueCountFrequency (%)
불 2
33.3%
검 2
33.3%
출 2
33.3%
Other Punctuation
ValueCountFrequency (%)
. 43
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 280
97.9%
Hangul 6
 
2.1%

Most frequent character per script

Common
ValueCountFrequency (%)
0 152
54.3%
. 43
 
15.4%
4 21
 
7.5%
3 11
 
3.9%
5 10
 
3.6%
7 9
 
3.2%
6 9
 
3.2%
9 7
 
2.5%
1 7
 
2.5%
8 6
 
2.1%
Hangul
ValueCountFrequency (%)
불 2
33.3%
검 2
33.3%
출 2
33.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 280
97.9%
Hangul 6
 
2.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 152
54.3%
. 43
 
15.4%
4 21
 
7.5%
3 11
 
3.9%
5 10
 
3.6%
7 9
 
3.2%
6 9
 
3.2%
9 7
 
2.5%
1 7
 
2.5%
8 6
 
2.1%
Hangul
ValueCountFrequency (%)
불 2
33.3%
검 2
33.3%
출 2
33.3%

소독제및소독부산물검사결과(트리클로로아세토니트릴)
Categorical

Distinct2
Distinct (%)2.9%
Missing0
Missing (%)0.0%
Memory size684.0 B
0
50 
불검출
19 

Length

Max length3
Median length1
Mean length1.5507246
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 50
72.5%
불검출 19
 
27.5%

Length

2024-03-14T11:24:03.863767image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T11:24:03.952240image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 50
72.5%
불검출 19
 
27.5%

소독제및소독부산물검사결과(할로아세틱에시드)
Real number (ℝ)

ZEROS 

Distinct31
Distinct (%)44.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.013797101
Minimum0
Maximum0.07
Zeros14
Zeros (%)20.3%
Negative0
Negative (%)0.0%
Memory size753.0 B
2024-03-14T11:24:04.038605image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10.003
median0.012
Q30.02
95-th percentile0.0416
Maximum0.07
Range0.07
Interquartile range (IQR)0.017

Descriptive statistics

Standard deviation0.014130255
Coefficient of variation (CV)1.0241466
Kurtosis2.8059809
Mean0.013797101
Median Absolute Deviation (MAD)0.008
Skewness1.503742
Sum0.952
Variance0.00019966411
MonotonicityNot monotonic
2024-03-14T11:24:04.182530image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=31)
ValueCountFrequency (%)
0.0 14
20.3%
0.013 7
 
10.1%
0.004 4
 
5.8%
0.006 4
 
5.8%
0.023 3
 
4.3%
0.012 3
 
4.3%
0.02 3
 
4.3%
0.022 2
 
2.9%
0.007 2
 
2.9%
0.01 2
 
2.9%
Other values (21) 25
36.2%
ValueCountFrequency (%)
0.0 14
20.3%
0.001 2
 
2.9%
0.002 1
 
1.4%
0.003 1
 
1.4%
0.004 4
 
5.8%
0.005 1
 
1.4%
0.006 4
 
5.8%
0.007 2
 
2.9%
0.008 1
 
1.4%
0.009 1
 
1.4%
ValueCountFrequency (%)
0.07 1
 
1.4%
0.046 1
 
1.4%
0.044 2
2.9%
0.038 1
 
1.4%
0.037 2
2.9%
0.034 1
 
1.4%
0.033 1
 
1.4%
0.032 1
 
1.4%
0.023 3
4.3%
0.022 2
2.9%

소독제및소독부산물검사결과(포름알데히드)
Categorical

Distinct9
Distinct (%)13.0%
Missing0
Missing (%)0.0%
Memory size684.0 B
0
30 
불검출
17 
-
12 
0.02
 
3
0.12
 
2
Other values (4)
5 

Length

Max length4
Median length3
Mean length2.1014493
Min length1

Unique

Unique3 ?
Unique (%)4.3%

Sample

1st row0.12
2nd row0.12
3rd row불검출
4th row -
5th row -

Common Values

ValueCountFrequency (%)
0 30
43.5%
불검출 17
24.6%
- 12
 
17.4%
0.02 3
 
4.3%
0.12 2
 
2.9%
0.04 2
 
2.9%
0.03 1
 
1.4%
0.15 1
 
1.4%
0.13 1
 
1.4%

Length

2024-03-14T11:24:04.331887image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T11:24:04.435634image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 30
43.5%
불검출 17
24.6%
12
 
17.4%
0.02 3
 
4.3%
0.12 2
 
2.9%
0.04 2
 
2.9%
0.03 1
 
1.4%
0.15 1
 
1.4%
0.13 1
 
1.4%

심미적영향물질검사결과(경도)
Real number (ℝ)

Distinct34
Distinct (%)49.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean45.072464
Minimum10
Maximum126
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size753.0 B
2024-03-14T11:24:04.558831image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum10
5-th percentile20
Q137
median46
Q352
95-th percentile61
Maximum126
Range116
Interquartile range (IQR)15

Descriptive statistics

Standard deviation15.861829
Coefficient of variation (CV)0.35191839
Kurtosis9.1229752
Mean45.072464
Median Absolute Deviation (MAD)7
Skewness1.5662794
Sum3110
Variance251.59761
MonotonicityNot monotonic
2024-03-14T11:24:04.678692image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=34)
ValueCountFrequency (%)
48 8
 
11.6%
45 8
 
11.6%
58 4
 
5.8%
46 4
 
5.8%
51 3
 
4.3%
40 3
 
4.3%
53 2
 
2.9%
20 2
 
2.9%
29 2
 
2.9%
52 2
 
2.9%
Other values (24) 31
44.9%
ValueCountFrequency (%)
10 1
1.4%
15 1
1.4%
16 1
1.4%
20 2
2.9%
25 1
1.4%
26 1
1.4%
28 1
1.4%
29 2
2.9%
31 1
1.4%
32 2
2.9%
ValueCountFrequency (%)
126 1
 
1.4%
70 1
 
1.4%
62 1
 
1.4%
61 2
2.9%
60 1
 
1.4%
59 2
2.9%
58 4
5.8%
57 1
 
1.4%
56 1
 
1.4%
55 1
 
1.4%

심미적영향물질검사결과(과망간산칼륨소비량)
Real number (ℝ)

ZEROS 

Distinct22
Distinct (%)31.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.6014493
Minimum0
Maximum5.1
Zeros1
Zeros (%)1.4%
Negative0
Negative (%)0.0%
Memory size753.0 B
2024-03-14T11:24:04.796403image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.9
Q10.9
median1.3
Q31.9
95-th percentile3.74
Maximum5.1
Range5.1
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.99298906
Coefficient of variation (CV)0.62005652
Kurtosis1.9752031
Mean1.6014493
Median Absolute Deviation (MAD)0.4
Skewness1.5470626
Sum110.5
Variance0.98602728
MonotonicityNot monotonic
2024-03-14T11:24:04.887404image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=22)
ValueCountFrequency (%)
0.9 27
39.1%
1.3 8
 
11.6%
1.2 6
 
8.7%
1.6 4
 
5.8%
2.1 2
 
2.9%
1.4 2
 
2.9%
1.8 2
 
2.9%
3.9 2
 
2.9%
3.3 2
 
2.9%
1.9 2
 
2.9%
Other values (12) 12
17.4%
ValueCountFrequency (%)
0.0 1
 
1.4%
0.9 27
39.1%
1.2 6
 
8.7%
1.3 8
 
11.6%
1.4 2
 
2.9%
1.5 1
 
1.4%
1.6 4
 
5.8%
1.8 2
 
2.9%
1.9 2
 
2.9%
2.1 2
 
2.9%
ValueCountFrequency (%)
5.1 1
1.4%
4.1 1
1.4%
3.9 2
2.9%
3.5 1
1.4%
3.4 1
1.4%
3.3 2
2.9%
3.2 1
1.4%
2.8 1
1.4%
2.7 1
1.4%
2.5 1
1.4%

심미적영향물질검사결과(냄새)
Categorical

IMBALANCE 

Distinct2
Distinct (%)2.9%
Missing0
Missing (%)0.0%
Memory size684.0 B
없음
64 
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 row없음

Common Values

ValueCountFrequency (%)
없음 64
92.8%
적합 5
 
7.2%

Length

2024-03-14T11:24:04.989373image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T11:24:05.069989image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
없음 64
92.8%
적합 5
 
7.2%

심미적영향물질검사결과(맛)
Categorical

IMBALANCE 

Distinct2
Distinct (%)2.9%
Missing0
Missing (%)0.0%
Memory size684.0 B
없음
64 
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 row없음

Common Values

ValueCountFrequency (%)
없음 64
92.8%
적합 5
 
7.2%

Length

2024-03-14T11:24:05.154791image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T11:24:05.239897image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
없음 64
92.8%
적합 5
 
7.2%

심미적영향물질검사결과(동)
Categorical

Distinct7
Distinct (%)10.1%
Missing0
Missing (%)0.0%
Memory size684.0 B
0
44 
불검출
18 
0.01
 
3
0.014
 
1
0.011
 
1
Other values (2)
 
2

Length

Max length5
Median length1
Mean length1.884058
Min length1

Unique

Unique4 ?
Unique (%)5.8%

Sample

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

Common Values

ValueCountFrequency (%)
0 44
63.8%
불검출 18
26.1%
0.01 3
 
4.3%
0.014 1
 
1.4%
0.011 1
 
1.4%
0.015 1
 
1.4%
0.076 1
 
1.4%

Length

2024-03-14T11:24:05.339302image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T11:24:05.431548image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 44
63.8%
불검출 18
26.1%
0.01 3
 
4.3%
0.014 1
 
1.4%
0.011 1
 
1.4%
0.015 1
 
1.4%
0.076 1
 
1.4%

심미적영향물질검사결과(색도)
Categorical

Distinct4
Distinct (%)5.8%
Missing0
Missing (%)0.0%
Memory size684.0 B
1
47 
1도
18 
0
 
3
불검출
 
1

Length

Max length3
Median length1
Mean length1.2898551
Min length1

Unique

Unique1 ?
Unique (%)1.4%

Sample

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

Common Values

ValueCountFrequency (%)
1 47
68.1%
1도 18
 
26.1%
0 3
 
4.3%
불검출 1
 
1.4%

Length

2024-03-14T11:24:05.600430image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T11:24:05.782602image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 47
68.1%
1도 18
 
26.1%
0 3
 
4.3%
불검출 1
 
1.4%

심미적영향물질검사결과(세제)
Categorical

Distinct2
Distinct (%)2.9%
Missing0
Missing (%)0.0%
Memory size684.0 B
0
50 
불검출
19 

Length

Max length3
Median length1
Mean length1.5507246
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 50
72.5%
불검출 19
 
27.5%

Length

2024-03-14T11:24:05.875538image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T11:24:05.955376image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 50
72.5%
불검출 19
 
27.5%

심미적영향물질검사결과(수소이온농도)
Real number (ℝ)

Distinct16
Distinct (%)23.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.2942029
Minimum6.5
Maximum8.3
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size753.0 B
2024-03-14T11:24:06.026134image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum6.5
5-th percentile6.64
Q17
median7.3
Q37.5
95-th percentile7.9
Maximum8.3
Range1.8
Interquartile range (IQR)0.5

Descriptive statistics

Standard deviation0.39552053
Coefficient of variation (CV)0.054223955
Kurtosis0.086665343
Mean7.2942029
Median Absolute Deviation (MAD)0.3
Skewness0.20291844
Sum503.3
Variance0.15643649
MonotonicityNot monotonic
2024-03-14T11:24:06.133987image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
7.0 9
13.0%
7.5 8
11.6%
7.1 8
11.6%
7.4 8
11.6%
7.2 7
10.1%
7.7 6
8.7%
7.6 5
7.2%
6.7 4
 
5.8%
8.3 2
 
2.9%
7.9 2
 
2.9%
Other values (6) 10
14.5%
ValueCountFrequency (%)
6.5 2
 
2.9%
6.6 2
 
2.9%
6.7 4
5.8%
6.9 2
 
2.9%
7.0 9
13.0%
7.1 8
11.6%
7.2 7
10.1%
7.3 2
 
2.9%
7.4 8
11.6%
7.5 8
11.6%
ValueCountFrequency (%)
8.3 2
 
2.9%
8.1 1
 
1.4%
7.9 2
 
2.9%
7.8 1
 
1.4%
7.7 6
8.7%
7.6 5
7.2%
7.5 8
11.6%
7.4 8
11.6%
7.3 2
 
2.9%
7.2 7
10.1%

심미적영향물질검사결과(아연)
Categorical

Distinct31
Distinct (%)44.9%
Missing0
Missing (%)0.0%
Memory size684.0 B
불검출
10 
0
8 
0.017
5 
0.002
4 
0.018
 
3
Other values (26)
39 

Length

Max length5
Median length5
Mean length4.2173913
Min length1

Unique

Unique16 ?
Unique (%)23.2%

Sample

1st row0.017
2nd row0.007
3rd row0.007
4th row0.009
5th row0.017

Common Values

ValueCountFrequency (%)
불검출 10
 
14.5%
0 8
 
11.6%
0.017 5
 
7.2%
0.002 4
 
5.8%
0.018 3
 
4.3%
0.007 3
 
4.3%
0.003 3
 
4.3%
0.027 3
 
4.3%
0.004 2
 
2.9%
0.011 2
 
2.9%
Other values (21) 26
37.7%

Length

2024-03-14T11:24:06.279988image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
불검출 10
 
14.5%
0 8
 
11.6%
0.017 5
 
7.2%
0.002 4
 
5.8%
0.018 3
 
4.3%
0.007 3
 
4.3%
0.003 3
 
4.3%
0.027 3
 
4.3%
0.009 2
 
2.9%
0.014 2
 
2.9%
Other values (21) 26
37.7%

심미적영향물질검사결과(염소이온)
Real number (ℝ)

Distinct55
Distinct (%)79.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean14.624638
Minimum1.7
Maximum56
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size753.0 B
2024-03-14T11:24:06.419095image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1.7
5-th percentile3.68
Q110.8
median14.2
Q317.9
95-th percentile23
Maximum56
Range54.3
Interquartile range (IQR)7.1

Descriptive statistics

Standard deviation7.5879821
Coefficient of variation (CV)0.51884924
Kurtosis11.932332
Mean14.624638
Median Absolute Deviation (MAD)3.7
Skewness2.2098036
Sum1009.1
Variance57.577472
MonotonicityNot monotonic
2024-03-14T11:24:06.620242image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
11.4 3
 
4.3%
10.0 3
 
4.3%
17.7 3
 
4.3%
15.4 2
 
2.9%
19.5 2
 
2.9%
13.2 2
 
2.9%
21.6 2
 
2.9%
3.1 2
 
2.9%
14.0 2
 
2.9%
15.0 2
 
2.9%
Other values (45) 46
66.7%
ValueCountFrequency (%)
1.7 1
1.4%
3.1 2
2.9%
3.4 1
1.4%
4.1 1
1.4%
4.4 1
1.4%
4.5 1
1.4%
5.4 1
1.4%
5.5 1
1.4%
7.5 1
1.4%
8.5 1
1.4%
ValueCountFrequency (%)
56.0 1
1.4%
24.0 1
1.4%
23.1 1
1.4%
23.0 2
2.9%
22.9 1
1.4%
22.5 1
1.4%
21.6 2
2.9%
21.1 1
1.4%
21.0 1
1.4%
20.8 1
1.4%

심미적영향물질검사결과(증발잔류물)
Real number (ℝ)

Distinct50
Distinct (%)72.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean93.811594
Minimum43
Maximum216
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size753.0 B
2024-03-14T11:24:06.818328image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum43
5-th percentile49.6
Q177
median89
Q3111
95-th percentile140.8
Maximum216
Range173
Interquartile range (IQR)34

Descriptive statistics

Standard deviation31.378747
Coefficient of variation (CV)0.33448687
Kurtosis3.8572568
Mean93.811594
Median Absolute Deviation (MAD)16
Skewness1.3901059
Sum6473
Variance984.62575
MonotonicityNot monotonic
2024-03-14T11:24:06.943535image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
76 3
 
4.3%
85 3
 
4.3%
79 3
 
4.3%
87 2
 
2.9%
84 2
 
2.9%
43 2
 
2.9%
112 2
 
2.9%
97 2
 
2.9%
116 2
 
2.9%
98 2
 
2.9%
Other values (40) 46
66.7%
ValueCountFrequency (%)
43 2
2.9%
44 1
1.4%
46 1
1.4%
55 1
1.4%
56 1
1.4%
57 1
1.4%
58 1
1.4%
59 1
1.4%
64 1
1.4%
68 1
1.4%
ValueCountFrequency (%)
216 1
1.4%
202 1
1.4%
143 1
1.4%
142 1
1.4%
139 1
1.4%
137 1
1.4%
136 1
1.4%
122 1
1.4%
121 1
1.4%
120 1
1.4%

심미적영향물질검사결과(철)
Categorical

Distinct4
Distinct (%)5.8%
Missing0
Missing (%)0.0%
Memory size684.0 B
0
48 
불검출
19 
0.1
 
1
0.06
 
1

Length

Max length4
Median length1
Mean length1.6231884
Min length1

Unique

Unique2 ?
Unique (%)2.9%

Sample

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

Common Values

ValueCountFrequency (%)
0 48
69.6%
불검출 19
 
27.5%
0.1 1
 
1.4%
0.06 1
 
1.4%

Length

2024-03-14T11:24:07.050919image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T11:24:07.143142image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 48
69.6%
불검출 19
 
27.5%
0.1 1
 
1.4%
0.06 1
 
1.4%

심미적영향물질검사결과(망간)
Categorical

Distinct17
Distinct (%)24.6%
Missing0
Missing (%)0.0%
Memory size684.0 B
0
19 
불검출
18 
0.007
5 
0.01
5 
0.009
4 
Other values (12)
18 

Length

Max length5
Median length4
Mean length3.2898551
Min length1

Unique

Unique7 ?
Unique (%)10.1%

Sample

1st row0
2nd row0
3rd row불검출
4th row0
5th row0.007

Common Values

ValueCountFrequency (%)
0 19
27.5%
불검출 18
26.1%
0.007 5
 
7.2%
0.01 5
 
7.2%
0.009 4
 
5.8%
0.006 3
 
4.3%
0.008 2
 
2.9%
0.014 2
 
2.9%
0.019 2
 
2.9%
0.005 2
 
2.9%
Other values (7) 7
 
10.1%

Length

2024-03-14T11:24:07.248462image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
0 19
27.5%
불검출 18
26.1%
0.007 5
 
7.2%
0.01 5
 
7.2%
0.009 4
 
5.8%
0.006 3
 
4.3%
0.005 2
 
2.9%
0.019 2
 
2.9%
0.014 2
 
2.9%
0.008 2
 
2.9%
Other values (7) 7
 
10.1%

심미적영향물질검사결과(탁도)
Real number (ℝ)

Distinct19
Distinct (%)27.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.12717391
Minimum0.05
Maximum0.41
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size753.0 B
2024-03-14T11:24:07.351309image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0.05
5-th percentile0.06
Q10.08
median0.11
Q30.135
95-th percentile0.314
Maximum0.41
Range0.36
Interquartile range (IQR)0.055

Descriptive statistics

Standard deviation0.078071791
Coefficient of variation (CV)0.61389785
Kurtosis5.9527873
Mean0.12717391
Median Absolute Deviation (MAD)0.03
Skewness2.4181985
Sum8.775
Variance0.0060952046
MonotonicityNot monotonic
2024-03-14T11:24:07.466431image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
0.09 11
15.9%
0.12 10
14.5%
0.08 8
11.6%
0.11 7
10.1%
0.06 5
 
7.2%
0.14 5
 
7.2%
0.07 3
 
4.3%
0.13 3
 
4.3%
0.26 2
 
2.9%
0.1 2
 
2.9%
Other values (9) 13
18.8%
ValueCountFrequency (%)
0.05 2
 
2.9%
0.06 5
7.2%
0.07 3
 
4.3%
0.08 8
11.6%
0.09 11
15.9%
0.1 2
 
2.9%
0.11 7
10.1%
0.12 10
14.5%
0.13 3
 
4.3%
0.135 1
 
1.4%
ValueCountFrequency (%)
0.41 2
 
2.9%
0.39 1
 
1.4%
0.35 1
 
1.4%
0.26 2
 
2.9%
0.21 2
 
2.9%
0.17 1
 
1.4%
0.16 2
 
2.9%
0.15 1
 
1.4%
0.14 5
7.2%
0.135 1
 
1.4%

심미적영향물질검사결과(황산이온)
Real number (ℝ)

Distinct14
Distinct (%)20.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.9855072
Minimum1
Maximum16
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size753.0 B
2024-03-14T11:24:07.560756image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2.4
Q17
median8
Q310
95-th percentile12
Maximum16
Range15
Interquartile range (IQR)3

Descriptive statistics

Standard deviation2.8205796
Coefficient of variation (CV)0.35321233
Kurtosis0.92931557
Mean7.9855072
Median Absolute Deviation (MAD)2
Skewness-0.11033452
Sum551
Variance7.9556692
MonotonicityNot monotonic
2024-03-14T11:24:07.646042image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
8 14
20.3%
7 12
17.4%
10 10
14.5%
9 8
11.6%
11 5
 
7.2%
6 4
 
5.8%
5 4
 
5.8%
12 3
 
4.3%
2 3
 
4.3%
3 2
 
2.9%
Other values (4) 4
 
5.8%
ValueCountFrequency (%)
1 1
 
1.4%
2 3
 
4.3%
3 2
 
2.9%
4 1
 
1.4%
5 4
 
5.8%
6 4
 
5.8%
7 12
17.4%
8 14
20.3%
9 8
11.6%
10 10
14.5%
ValueCountFrequency (%)
16 1
 
1.4%
15 1
 
1.4%
12 3
 
4.3%
11 5
 
7.2%
10 10
14.5%
9 8
11.6%
8 14
20.3%
7 12
17.4%
6 4
 
5.8%
5 4
 
5.8%

심미적영향물질검사결과(알루미늄)
Categorical

Distinct14
Distinct (%)20.3%
Missing0
Missing (%)0.0%
Memory size684.0 B
0
17 
0.03
13 
불검출
11 
0.02
7 
0.05
6 
Other values (9)
15 

Length

Max length5
Median length4
Mean length3.1449275
Min length1

Unique

Unique7 ?
Unique (%)10.1%

Sample

1st row0.038
2nd row0.051
3rd row0.04
4th row0
5th row0.03

Common Values

ValueCountFrequency (%)
0 17
24.6%
0.03 13
18.8%
불검출 11
15.9%
0.02 7
10.1%
0.05 6
 
8.7%
0.04 5
 
7.2%
0.06 3
 
4.3%
0.038 1
 
1.4%
0.051 1
 
1.4%
0.01 1
 
1.4%
Other values (4) 4
 
5.8%

Length

2024-03-14T11:24:07.762651image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
0 17
24.6%
0.03 13
18.8%
불검출 11
15.9%
0.02 7
10.1%
0.05 6
 
8.7%
0.04 5
 
7.2%
0.06 3
 
4.3%
0.038 1
 
1.4%
0.051 1
 
1.4%
0.01 1
 
1.4%
Other values (4) 4
 
5.8%

데이터기준일자
Categorical

Distinct9
Distinct (%)13.0%
Missing0
Missing (%)0.0%
Memory size684.0 B
2015-10-21
33 
2015. 09. 18
18 
2015-09-25
7 
2015-08-31
4 
2015-09-30
 
3
Other values (4)
4 

Length

Max length12
Median length10
Mean length10.434783
Min length4

Unique

Unique4 ?
Unique (%)5.8%

Sample

1st row2015-09-25
2nd row2015-09-25
3rd row2015-08-05
4th row2015-10-21
5th row2015-10-21

Common Values

ValueCountFrequency (%)
2015-10-21 33
47.8%
2015. 09. 18 18
26.1%
2015-09-25 7
 
10.1%
2015-08-31 4
 
5.8%
2015-09-30 3
 
4.3%
2015-08-05 1
 
1.4%
2015-10-05 1
 
1.4%
2015-08-24 1
 
1.4%
<NA> 1
 
1.4%

Length

2024-03-14T11:24:08.064543image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T11:24:08.175595image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2015-10-21 33
31.4%
2015 18
17.1%
09 18
17.1%
18 18
17.1%
2015-09-25 7
 
6.7%
2015-08-31 4
 
3.8%
2015-09-30 3
 
2.9%
2015-08-05 1
 
1.0%
2015-10-05 1
 
1.0%
2015-08-24 1
 
1.0%

Unnamed: 69
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing69
Missing (%)100.0%
Memory size753.0 B

Sample

시군정수장명관리기관명관리기관전화번호소재지도로명주소Unnamed: 5채수일자검사기관명최종판정결과미생물검사결과(일반세균)미생물검사결과(총대장균군)미생물검사결과(대장균)미생물검사결과(분원성대장균군)건강상유해영향무기물질검사결과(납)건강상유해영향무기물질검사결과(불소)건강상유해영향무기물질검사결과(비소)건강상유해영향무기물질검사결과(셀레늄)건강상유해영향무기물질검사결과(수은)건강상유해영향무기물질검사결과(시안)건강상유해영향무기물질검사결과(크롬)건강상유해영향무기물질검사결과(암모니아성질소)건강상유해영향무기물질검사결과(질산성질소)건강상유해영향무기물질검사결과(카드뮴)건강상유해영향무기물질검사결과(보론)건강상유해영향유기물질검사결과(페놀)건강상유해영향유기물질검사결과(다이아지논)건강상유해영향유기물질검사결과(파라티온)건강상유해영향유기물질검사결과(페니트로티온)건강상유해영향유기물질검사결과(카바릴)건강상유해영향유기물질검사결과(1.1.1-트리클로로에탄)건강상유해영향유기물질검사결과(테트라클로로에틸렌)건강상유해영향유기물질검사결과(트리클로로에틸렌)건강상유해영향유기물질검사결과(사염화탄소)건강상유해영향유기물질검사결과(1,1-디클로로에틸렌)건강상유해영향유기물질검사결과(디클로로메탄)건강상유해영향유기물질검사결과(벤젠)건강상유해영향유기물질검사결과(톨루엔)건강상유해영향유기물질검사결과(에틸벤젠)건강상유해영향유기물질검사결과(크실렌)건강상유해영향유기물질검사결과(1,2-디브로모-3-클로로프로판)건강상유해영향유기물질검사결과(1,4-다이옥산)소독제및소독부산물검사결과(잔류염소)소독제및소독부산물검사결과(총트리할로메탄)소독제및소독부산물검사결과(클로로포름)소독제및소독부산물검사결과(브로모디클로로메탄)소독제및소독부산물검사결과(디브로모디클로로메탄)소독제및소독부산물검사결과(클로랄하이드레이트)소독제및소독부산물검사결과(디브로모아세토니트릴)소독제및소독부산물검사결과(디클로로아세토니트릴)소독제및소독부산물검사결과(트리클로로아세토니트릴)소독제및소독부산물검사결과(할로아세틱에시드)소독제및소독부산물검사결과(포름알데히드)심미적영향물질검사결과(경도)심미적영향물질검사결과(과망간산칼륨소비량)심미적영향물질검사결과(냄새)심미적영향물질검사결과(맛)심미적영향물질검사결과(동)심미적영향물질검사결과(색도)심미적영향물질검사결과(세제)심미적영향물질검사결과(수소이온농도)심미적영향물질검사결과(아연)심미적영향물질검사결과(염소이온)심미적영향물질검사결과(증발잔류물)심미적영향물질검사결과(철)심미적영향물질검사결과(망간)심미적영향물질검사결과(탁도)심미적영향물질검사결과(황산이온)심미적영향물질검사결과(알루미늄)데이터기준일자Unnamed: 69
0익산시신흥정수장전라북도 익산시청063-859-4343익산시 서동로 361<NA>2015-09-09전주시 맑음물사업소적합0불검출불검출불검출000000001.100000000000000000001.150.0320.0210.0080.0020.00000.0230.12513.4없음없음0106.60.0173.187000.0630.0382015-09-25<NA>
1익산시금강정수장전라북도 익산시청063-859-4405익산시 동천로 99<NA>2015-09-09전주시 맑음물사업소적합0불검출불검출불검출00.170000000.400000000000000000001.020.0210.0130.0060.0020.00000.0210.12523.9없음없음0106.50.0073.484000.0610.0512015-09-25<NA>
2정읍시산성정수장K-water 정읍권관리단063-530-0230정읍시 옹동면 태산로 2450-64<NA>2015-07-03K-water 전북지역본부 수질검사소적합0불검출불검출불검출불검출불검출불검출불검출불검출불검출불검출불검출1.2불검출0.01불검출불검출불검출불검출불검출불검출불검출불검출불검출불검출불검출불검출불검출불검출불검출불검출불검출0.820.0240.0160.0060.0020.003불검출0.0017불검출0.017불검출481.3없음없음불검출불검출불검출7.10.00718.978불검출불검출0.12120.042015-08-05<NA>
3남원시월락정수장전라북도 남원시청063-620-6873남원시 오들1길 56(도통동)<NA>2013-01-11전라북도 보건환경연구원적합0불검출불검출불검출000000005.300000000000000000000.8700.00.00.00.00000.0-581.4없음없음0106.90.00923.0115000.171102015-10-21<NA>
4남원시월락정수장전라북도 남원시청063-620-6873남원시 오들1길 56(도통동)<NA>2013-02-13전라북도 보건환경연구원적합0불검출불검출불검출000000002.200000000000000000000.810.0060.0010.0030.0020.00000.0-450.9없음없음0107.70.01715.08500.0070.1640.032015-10-21<NA>
5남원시월락정수장전라북도 남원시청063-620-6873남원시 오들1길 56(도통동)<NA>2013-03-07전라북도 보건환경연구원적합0불검출불검출불검출000000004.000000000000000000000.8800.00.00.00.00000.0-451.2없음없음0107.00.02214.091000.091002015-10-21<NA>
6남원시월락정수장전라북도 남원시청063-620-6873남원시 오들1길 56(도통동)<NA>2013-04-10전라북도 보건환경연구원적합0불검출불검출불검출000000001.900.01000000000000000000.810.0130.0080.0040.0010.00000.0-371.2없음없음0106.70.01913.09000.0050.2180.062015-10-21<NA>
7남원시월락정수장전라북도 남원시청063-620-6873남원시 오들1길 56(도통동)<NA>2013-05-08전라북도 보건환경연구원적합0불검출불검출불검출000000002.100000000000000000000.7400.00.00.00.00000.0-320.9없음없음0.01107.40.03910.08500.0090.0920.022015-10-21<NA>
8남원시월락정수장전라북도 남원시청063-620-6873남원시 오들1길 56(도통동)<NA>2013-06-05전라북도 보건환경연구원적합0불검출불검출불검출000000001.500000000000000000000.770.0360.0260.0080.0020.00000.0-461.3없음없음0.01107.00.19914.010500.0190.41100.052015-10-21<NA>
9남원시월락정수장전라북도 남원시청063-620-6873남원시 오들1길 56(도통동)<NA>2013-07-10전라북도 보건환경연구원적합0불검출불검출불검출000000001.600000000000000000000.810.030.0220.0070.0010.00000.0-421.3없음없음0107.00.02610.09200.020.0980.032015-10-21<NA>
시군정수장명관리기관명관리기관전화번호소재지도로명주소Unnamed: 5채수일자검사기관명최종판정결과미생물검사결과(일반세균)미생물검사결과(총대장균군)미생물검사결과(대장균)미생물검사결과(분원성대장균군)건강상유해영향무기물질검사결과(납)건강상유해영향무기물질검사결과(불소)건강상유해영향무기물질검사결과(비소)건강상유해영향무기물질검사결과(셀레늄)건강상유해영향무기물질검사결과(수은)건강상유해영향무기물질검사결과(시안)건강상유해영향무기물질검사결과(크롬)건강상유해영향무기물질검사결과(암모니아성질소)건강상유해영향무기물질검사결과(질산성질소)건강상유해영향무기물질검사결과(카드뮴)건강상유해영향무기물질검사결과(보론)건강상유해영향유기물질검사결과(페놀)건강상유해영향유기물질검사결과(다이아지논)건강상유해영향유기물질검사결과(파라티온)건강상유해영향유기물질검사결과(페니트로티온)건강상유해영향유기물질검사결과(카바릴)건강상유해영향유기물질검사결과(1.1.1-트리클로로에탄)건강상유해영향유기물질검사결과(테트라클로로에틸렌)건강상유해영향유기물질검사결과(트리클로로에틸렌)건강상유해영향유기물질검사결과(사염화탄소)건강상유해영향유기물질검사결과(1,1-디클로로에틸렌)건강상유해영향유기물질검사결과(디클로로메탄)건강상유해영향유기물질검사결과(벤젠)건강상유해영향유기물질검사결과(톨루엔)건강상유해영향유기물질검사결과(에틸벤젠)건강상유해영향유기물질검사결과(크실렌)건강상유해영향유기물질검사결과(1,2-디브로모-3-클로로프로판)건강상유해영향유기물질검사결과(1,4-다이옥산)소독제및소독부산물검사결과(잔류염소)소독제및소독부산물검사결과(총트리할로메탄)소독제및소독부산물검사결과(클로로포름)소독제및소독부산물검사결과(브로모디클로로메탄)소독제및소독부산물검사결과(디브로모디클로로메탄)소독제및소독부산물검사결과(클로랄하이드레이트)소독제및소독부산물검사결과(디브로모아세토니트릴)소독제및소독부산물검사결과(디클로로아세토니트릴)소독제및소독부산물검사결과(트리클로로아세토니트릴)소독제및소독부산물검사결과(할로아세틱에시드)소독제및소독부산물검사결과(포름알데히드)심미적영향물질검사결과(경도)심미적영향물질검사결과(과망간산칼륨소비량)심미적영향물질검사결과(냄새)심미적영향물질검사결과(맛)심미적영향물질검사결과(동)심미적영향물질검사결과(색도)심미적영향물질검사결과(세제)심미적영향물질검사결과(수소이온농도)심미적영향물질검사결과(아연)심미적영향물질검사결과(염소이온)심미적영향물질검사결과(증발잔류물)심미적영향물질검사결과(철)심미적영향물질검사결과(망간)심미적영향물질검사결과(탁도)심미적영향물질검사결과(황산이온)심미적영향물질검사결과(알루미늄)데이터기준일자Unnamed: 69
59임실군강진정수장상하수도사업소640-2237임실군 강진면 옥정호로248-8<NA>2015-06-04전북보건환경연구원적합0불검출불검출불검출불검출불검출불검출불검출불검출불검출불검출불검출0.9불검출불검출불검출불검출불검출불검출불검출불검출불검출불검출불검출불검출불검출불검출불검출불검출불검출불검출불검출0.20.030.0180.0090.0030.0049불검출0.0051불검출0.0030.04471.6없음없음불검출1도불검출7.70.00215.498불검출불검출0.26100.052015. 09. 18<NA>
60임실군임실정수장상하수도사업소640-2231임실군 관촌면 방수2길117<NA>2015-07-09전북보건환경연구원적합0불검출불검출불검출불검출불검출불검출불검출불검출불검출불검출불검출1.0불검출불검출불검출불검출불검출불검출불검출불검출불검출불검출불검출불검출불검출불검출불검출불검출불검출불검출불검출0.40.0430.030.010.0030.0086불검출0.0044불검출0.023불검출593.2없음없음불검출1도불검출7.2불검출23.1142불검출불검출0.1480.062015. 09. 18<NA>
61임실군강진정수장상하수도사업소640-2237임실군 강진면 옥정호로248-8<NA>2015-07-09전북보건환경연구원적합0불검출불검출불검출불검출불검출불검출불검출불검출불검출불검출불검출0.8불검출불검출불검출불검출불검출불검출불검출불검출불검출불검출불검출불검출불검출불검출불검출불검출불검출불검출불검출0.40.030.0210.0070.0020.0067불검출0.0043불검출0.006불검출401.9없음없음불검출1도불검출7.4불검출12.4108불검출불검출0.11120.052015. 09. 18<NA>
62임실군임실정수장상하수도사업소640-2231임실군 관촌면 방수2길117<NA>2015-08-05전북보건환경연구원적합0불검출불검출불검출불검출불검출불검출불검출불검출불검출불검출불검출0.9불검출불검출불검출불검출불검출불검출불검출불검출불검출불검출불검출불검출불검출불검출불검출불검출불검출불검출불검출0.40.0470.0290.0130.0050.00720.00620.0057불검출0.033불검출562.8없음없음불검출1도불검출7.6불검출20.8143불검출불검출0.14100.072015. 09. 18<NA>
63임실군강진정수장상하수도사업소640-2237임실군 강진면 옥정호로248-8<NA>2015-08-05전북보건환경연구원적합0불검출불검출불검출불검출불검출불검출불검출불검출불검출불검출불검출1.1불검출불검출불검출불검출불검출불검출불검출불검출불검출불검출불검출불검출불검출불검출불검출불검출불검출불검출불검출0.40.0250.0140.0080.0030.00560.00590.0036불검출0.012불검출331.9없음없음불검출1도불검출7.20.029.876불검출불검출0.095불검출2015. 09. 18<NA>
64임실군임실정수장상하수도사업소640-2231임실군 관촌면 방수2길117<NA>2015-09-01전북보건환경연구원적합0불검출불검출불검출불검출불검출불검출불검출불검출불검출불검출불검출0.8불검출불검출불검출불검출불검출불검출불검출불검출불검출불검출불검출불검출불검출불검출불검출불검출불검출불검출불검출0.40.0290.0170.0090.0030.00670.00610.007불검출0.037불검출584.1없음없음불검출1도불검출7.7불검출19.5117불검출0.0090.16100.052015. 09. 18<NA>
65임실군강진정수장상하수도사업소640-2237임실군 강진면 옥정호로248-8<NA>2015-09-01전북보건환경연구원적합0불검출불검출불검출불검출0.2불검출불검출불검출불검출불검출불검출1.0불검출불검출불검출불검출불검출불검출불검출불검출불검출불검출불검출불검출불검출불검출불검출불검출불검출불검출불검출0.40.0430.0240.0140.0050.0058불검출0.0054불검출0.013불검출402.2없음없음불검출1도불검출7.6불검출11.489불검출불검출0.1170.032015-09-30<NA>
66순창군적성정수장전라북도 순창군청063-650-1733순창군 적성면 적성로 545-40<NA>2015-09-10전주시 맑은물사업소적합0불검출불검출불검출000000000.300000000000000000000.90.0320.0190.0090.0040.00000.0180.15615.1없음없음0107.00.02514.8850.060.010.1370.1882015-09-30<NA>
67순창군복흥쌍치통합정수장전라북도 순창군청063-650-1733순창군 적성면 적성로 545-40<NA>2015-09-10전주시 맑은물사업소적합0불검출불검출불검출000000002.400.02000000000000000000.910.0070.00.0020.0030.00000.010.13480.9없음없음0.076107.60.01411.481000.111002015-08-24<NA>
68부안군부안정수장수자원공사 부안댐관리단063-580-3220부안군 변산면 부안댐로 280-26<NA>2015-08-04한국수자원공사적합0불검출불검출불검출000000000.700.01000000000000000000.850..0390.0260.010.0030.007100.007100.0320200.9없음없음0007.1011.643000.0550<NA><NA>