Overview

Dataset statistics

Number of variables67
Number of observations285
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory164.1 KiB
Average record size in memory589.5 B

Variable types

Categorical36
Text1
DateTime1
Numeric29

Dataset

Description상수도 수질검사 현황(제공표준)
Author경기도
URLhttps://data.gg.go.kr/portal/data/service/selectServicePage.do?&infId=QM5SNN7709V07F6P337C12781364&infSeq=1

Alerts

최종판정결과 has constant value ""Constant
총대장균군 has constant value ""Constant
대장균 has constant value ""Constant
납 has constant value ""Constant
셀레늄 has constant value ""Constant
수은 has constant value ""Constant
시안 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
1_1_1-트리클로로에탄 has constant value ""Constant
테트라클로로에틸렌 has constant value ""Constant
트리클로로에틸렌 has constant value ""Constant
사염화탄소 has constant value ""Constant
1_1-디클로로에틸렌 has constant value ""Constant
벤젠 has constant value ""Constant
에틸벤젠 has constant value ""Constant
맛 has constant value ""Constant
비소 is highly imbalanced (96.6%)Imbalance
암모니아성질소 is highly imbalanced (96.6%)Imbalance
디클로로메탄 is highly imbalanced (96.6%)Imbalance
톨루엔 is highly imbalanced (84.6%)Imbalance
1_4-다이옥산 is highly imbalanced (91.1%)Imbalance
포름알데히드 is highly imbalanced (96.6%)Imbalance
냄새 is highly imbalanced (76.4%)Imbalance
철 is highly imbalanced (94.1%)Imbalance
불소 has 253 (88.8%) zerosZeros
크롬 has 274 (96.1%) zerosZeros
질산성질소 has 13 (4.6%) zerosZeros
카드뮴 has 274 (96.1%) zerosZeros
보론 has 194 (68.1%) zerosZeros
크실렌 has 269 (94.4%) zerosZeros
1_2-디브로모-3-클로로프로판 has 278 (97.5%) zerosZeros
잔류염소 has 12 (4.2%) zerosZeros
총트리할로메탄 has 16 (5.6%) zerosZeros
클로로포름 has 20 (7.0%) zerosZeros
브로모디클로로메탄 has 30 (10.5%) zerosZeros
디브로모디클로로메탄 has 141 (49.5%) zerosZeros
클로랄하이드레이트 has 91 (31.9%) zerosZeros
디브로모아세토니트릴 has 182 (63.9%) zerosZeros
디클로로아세토니트릴 has 125 (43.9%) zerosZeros
트리클로로아세토니트릴 has 250 (87.7%) zerosZeros
할로아세틱에시드 has 41 (14.4%) zerosZeros
심미적영향물질경도 has 31 (10.9%) zerosZeros
과망간산칼륨소비량 has 50 (17.5%) zerosZeros
동 has 263 (92.3%) zerosZeros
세제 has 276 (96.8%) zerosZeros
수소이온농도 has 40 (14.0%) zerosZeros
아연 has 172 (60.4%) zerosZeros
염소이온 has 39 (13.7%) zerosZeros
망간 has 270 (94.7%) zerosZeros
탁도 has 13 (4.6%) zerosZeros
황산이온 has 15 (5.3%) zerosZeros
알루미늄 has 152 (53.3%) zerosZeros

Reproduction

Analysis started2024-05-17 20:43:45.048530
Analysis finished2024-05-17 20:43:46.053322
Duration1 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

정수장명
Categorical

Distinct46
Distinct (%)16.1%
Missing0
Missing (%)0.0%
Memory size2.4 KiB
고촌정수장
52 
까치울 정수장
50 
동두천정수장
35 
덕소
31 
청계통합정수장
12 
Other values (41)
105 

Length

Max length10
Median length7
Mean length5.1649123
Min length2

Unique

Unique29 ?
Unique (%)10.2%

Sample

1st row설악정수장
2nd row가평통합정수장
3rd row현리정수장
4th row고양정수장
5th row덕소정수장

Common Values

ValueCountFrequency (%)
고촌정수장 52
18.2%
까치울 정수장 50
17.5%
동두천정수장 35
12.3%
덕소 31
10.9%
청계통합정수장 12
 
4.2%
포일정수장 12
 
4.2%
토평정수장 12
 
4.2%
연천 11
 
3.9%
노온정수장 11
 
3.9%
수지정수장 9
 
3.2%
Other values (36) 50
17.5%

Length

2024-05-18T05:43:46.206628image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
고촌정수장 52
15.5%
정수장 50
14.9%
까치울 50
14.9%
동두천정수장 35
10.4%
덕소 31
9.2%
청계통합정수장 12
 
3.6%
포일정수장 12
 
3.6%
토평정수장 12
 
3.6%
연천 11
 
3.3%
노온정수장 11
 
3.3%
Other values (38) 60
17.9%

관리기관명
Categorical

Distinct31
Distinct (%)10.9%
Missing0
Missing (%)0.0%
Memory size2.4 KiB
경기도 김포시상하수도사업소
52 
경기도 부천시청
50 
한국수자원공사 동두천수도관리단
35 
양주시청
31 
경기도 안양시
24 
Other values (26)
93 

Length

Max length19
Median length16
Mean length9.6245614
Min length3

Unique

Unique12 ?
Unique (%)4.2%

Sample

1st row가평군청
2nd row가평군청
3rd row가평군청
4th row한국수자원 고양권관리단장
5th row한국수자원 고양권관리단장

Common Values

ValueCountFrequency (%)
경기도 김포시상하수도사업소 52
18.2%
경기도 부천시청 50
17.5%
한국수자원공사 동두천수도관리단 35
12.3%
양주시청 31
10.9%
경기도 안양시 24
8.4%
한국수자원공사 16
 
5.6%
경기도 구리시청 12
 
4.2%
경기도 연천군청 11
 
3.9%
광명시 10
 
3.5%
평택시 수도과 6
 
2.1%
Other values (21) 38
13.3%

Length

2024-05-18T05:43:46.642430image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
경기도 175
33.8%
한국수자원공사 54
 
10.4%
김포시상하수도사업소 52
 
10.1%
부천시청 50
 
9.7%
동두천수도관리단 35
 
6.8%
양주시청 31
 
6.0%
안양시 24
 
4.6%
구리시청 12
 
2.3%
연천군청 11
 
2.1%
광명시 10
 
1.9%
Other values (28) 63
 
12.2%

관리기관전화번호
Categorical

Distinct39
Distinct (%)13.7%
Missing0
Missing (%)0.0%
Memory size2.4 KiB
032-625-3366
50 
031-980-5681
49 
031-860-9350
35 
031-8082-6844
31 
031-720-7782
12 
Other values (34)
108 

Length

Max length13
Median length12
Mean length12.214035
Min length12

Unique

Unique19 ?
Unique (%)6.7%

Sample

1st row031-580-4438
2nd row031-580-4438
3rd row031-580-4438
4th row031-930-1271
5th row031-930-1271

Common Values

ValueCountFrequency (%)
032-625-3366 50
17.5%
031-980-5681 49
17.2%
031-860-9350 35
12.3%
031-8082-6844 31
10.9%
031-720-7782 12
 
4.2%
031-550-8543 12
 
4.2%
031-8045-5638 12
 
4.2%
031-8045-5832 12
 
4.2%
031-839-4346 11
 
3.9%
02-2680-6533 10
 
3.5%
Other values (29) 51
17.9%

Length

2024-05-18T05:43:47.039201image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
032-625-3366 50
17.5%
031-980-5681 49
17.2%
031-860-9350 35
12.3%
031-8082-6844 31
10.9%
031-720-7782 12
 
4.2%
031-550-8543 12
 
4.2%
031-8045-5638 12
 
4.2%
031-8045-5832 12
 
4.2%
031-839-4346 11
 
3.9%
02-2680-6533 10
 
3.5%
Other values (29) 51
17.9%

소재지도로명주소
Text

Distinct88
Distinct (%)30.9%
Missing0
Missing (%)0.0%
Memory size2.4 KiB
2024-05-18T05:43:47.456442image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length29
Median length26
Mean length18.063158
Min length11

Characters and Unicode

Total characters5148
Distinct characters148
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique72 ?
Unique (%)25.3%

Sample

1st row경기도 가평군 설악면 자잠로 84-41
2nd row경기도 가평군 가평읍 호반로 2463-41
3rd row경기도 가평군 조종면 운악청계로 28
4th row경기도 고양시 일산동구 대주로 326
5th row경기도 남양주시 와부읍 안골로 78
ValueCountFrequency (%)
경기도 285
23.1%
김포시 52
 
4.2%
고촌읍 52
 
4.2%
신곡로 52
 
4.2%
부천시 50
 
4.1%
길주로 50
 
4.1%
692 50
 
4.1%
152 49
 
4.0%
1 37
 
3.0%
동두천시 35
 
2.8%
Other values (196) 520
42.2%
2024-05-18T05:43:48.368585image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
947
18.4%
경 289
 
5.6%
기 288
 
5.6%
도 286
 
5.6%
시 274
 
5.3%
로 238
 
4.6%
1 194
 
3.8%
2 188
 
3.7%
길 134
 
2.6%
천 103
 
2.0%
Other values (138) 2207
42.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3194
62.0%
Decimal Number 951
 
18.5%
Space Separator 947
 
18.4%
Dash Punctuation 30
 
0.6%
Close Punctuation 13
 
0.3%
Open Punctuation 13
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
경 289
 
9.0%
기 288
 
9.0%
도 286
 
9.0%
시 274
 
8.6%
로 238
 
7.5%
길 134
 
4.2%
천 103
 
3.2%
주 91
 
2.8%
동 76
 
2.4%
평 66
 
2.1%
Other values (124) 1349
42.2%
Decimal Number
ValueCountFrequency (%)
1 194
20.4%
2 188
19.8%
9 84
8.8%
0 78
8.2%
6 76
 
8.0%
5 76
 
8.0%
3 75
 
7.9%
7 63
 
6.6%
8 61
 
6.4%
4 56
 
5.9%
Space Separator
ValueCountFrequency (%)
947
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 30
100.0%
Close Punctuation
ValueCountFrequency (%)
) 13
100.0%
Open Punctuation
ValueCountFrequency (%)
( 13
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3194
62.0%
Common 1954
38.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
경 289
 
9.0%
기 288
 
9.0%
도 286
 
9.0%
시 274
 
8.6%
로 238
 
7.5%
길 134
 
4.2%
천 103
 
3.2%
주 91
 
2.8%
동 76
 
2.4%
평 66
 
2.1%
Other values (124) 1349
42.2%
Common
ValueCountFrequency (%)
947
48.5%
1 194
 
9.9%
2 188
 
9.6%
9 84
 
4.3%
0 78
 
4.0%
6 76
 
3.9%
5 76
 
3.9%
3 75
 
3.8%
7 63
 
3.2%
8 61
 
3.1%
Other values (4) 112
 
5.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3194
62.0%
ASCII 1954
38.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
947
48.5%
1 194
 
9.9%
2 188
 
9.6%
9 84
 
4.3%
0 78
 
4.0%
6 76
 
3.9%
5 76
 
3.9%
3 75
 
3.8%
7 63
 
3.2%
8 61
 
3.1%
Other values (4) 112
 
5.7%
Hangul
ValueCountFrequency (%)
경 289
 
9.0%
기 288
 
9.0%
도 286
 
9.0%
시 274
 
8.6%
로 238
 
7.5%
길 134
 
4.2%
천 103
 
3.2%
주 91
 
2.8%
동 76
 
2.4%
평 66
 
2.1%
Other values (124) 1349
42.2%

채수일자
Date

Distinct188
Distinct (%)66.0%
Missing0
Missing (%)0.0%
Memory size2.4 KiB
Minimum2015-02-02 00:00:00
Maximum2024-04-02 00:00:00
2024-05-18T05:43:48.756833image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T05:43:49.182796image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

검사기관명
Categorical

Distinct31
Distinct (%)10.9%
Missing0
Missing (%)0.0%
Memory size2.4 KiB
경기도 김포시상하수도사업소
52 
부천시 먹는물 검사기관
50 
한국수자원공사수도권지역본부
31 
<NA>
24 
한국수자원공사 한강권역수질검사소
21 
Other values (26)
107 

Length

Max length23
Median length20
Mean length12.501754
Min length4

Unique

Unique10 ?
Unique (%)3.5%

Sample

1st row㈜다솔물환경연구소
2nd row㈜다솔물환경연구소
3rd row㈜다솔물환경연구소
4th row한국수자원공사 수도권지역본부
5th row한국수자원공사 수도권지역본부

Common Values

ValueCountFrequency (%)
경기도 김포시상하수도사업소 52
18.2%
부천시 먹는물 검사기관 50
17.5%
한국수자원공사수도권지역본부 31
10.9%
<NA> 24
8.4%
한국수자원공사 한강권역수질검사소 21
7.4%
한국수자원공사 수도권수질검사처 14
 
4.9%
구리시 환경관리사업소 정수팀 12
 
4.2%
경기도 보건환경연구원 11
 
3.9%
부천시까치울정수장 10
 
3.5%
한강유역관리처 9
 
3.2%
Other values (21) 51
17.9%

Length

2024-05-18T05:43:49.630849image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
경기도 64
11.8%
김포시상하수도사업소 52
 
9.6%
부천시 51
 
9.4%
먹는물 51
 
9.4%
검사기관 50
 
9.2%
한국수자원공사 43
 
7.9%
한국수자원공사수도권지역본부 31
 
5.7%
na 24
 
4.4%
한강권역수질검사소 21
 
3.9%
수도권수질검사처 14
 
2.6%
Other values (35) 140
25.9%

최종판정결과
Categorical

CONSTANT 

Distinct1
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size2.4 KiB
적합
285 

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 285
100.0%

Length

2024-05-18T05:43:50.165433image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-18T05:43:50.418099image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
적합 285
100.0%

일반세균
Categorical

Distinct2
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size2.4 KiB
N
153 
0
132 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
N 153
53.7%
0 132
46.3%

Length

2024-05-18T05:43:50.723539image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-18T05:43:51.032386image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
n 153
53.7%
0 132
46.3%

총대장균군
Categorical

CONSTANT 

Distinct1
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size2.4 KiB
불검출
285 

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 285
100.0%

Length

2024-05-18T05:43:51.354104image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-18T05:43:51.653800image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
불검출 285
100.0%

대장균
Categorical

CONSTANT 

Distinct1
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size2.4 KiB
불검출
285 

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 285
100.0%

Length

2024-05-18T05:43:51.961070image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-18T05:43:52.314236image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
불검출 285
100.0%

분원성대장균군
Categorical

Distinct2
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size2.4 KiB
불검출
191 
<NA>
94 

Length

Max length4
Median length3
Mean length3.3298246
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
불검출 191
67.0%
<NA> 94
33.0%

Length

2024-05-18T05:43:52.642068image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-18T05:43:52.963728image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
불검출 191
67.0%
na 94
33.0%

납
Categorical

CONSTANT 

Distinct1
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size2.4 KiB
0
285 

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 (%)
0 285
100.0%

Length

2024-05-18T05:43:53.162325image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-18T05:43:53.334278image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 285
100.0%

불소
Real number (ℝ)

ZEROS 

Distinct18
Distinct (%)6.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.031649123
Minimum0
Maximum1.43
Zeros253
Zeros (%)88.8%
Negative0
Negative (%)0.0%
Memory size2.6 KiB
2024-05-18T05:43:53.496359image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0.198
Maximum1.43
Range1.43
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.12104773
Coefficient of variation (CV)3.8246788
Kurtosis67.770527
Mean0.031649123
Median Absolute Deviation (MAD)0
Skewness7.0444111
Sum9.02
Variance0.014652553
MonotonicityNot monotonic
2024-05-18T05:43:53.751487image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
0.0 253
88.8%
0.19 4
 
1.4%
0.16 4
 
1.4%
0.17 3
 
1.1%
0.2 3
 
1.1%
0.18 3
 
1.1%
0.26 2
 
0.7%
0.15 2
 
0.7%
0.54 2
 
0.7%
0.71 1
 
0.4%
Other values (8) 8
 
2.8%
ValueCountFrequency (%)
0.0 253
88.8%
0.13 1
 
0.4%
0.15 2
 
0.7%
0.16 4
 
1.4%
0.17 3
 
1.1%
0.18 3
 
1.1%
0.19 4
 
1.4%
0.2 3
 
1.1%
0.21 1
 
0.4%
0.23 1
 
0.4%
ValueCountFrequency (%)
1.43 1
0.4%
0.71 1
0.4%
0.54 2
0.7%
0.41 1
0.4%
0.34 1
0.4%
0.31 1
0.4%
0.3 1
0.4%
0.26 2
0.7%
0.23 1
0.4%
0.21 1
0.4%

비소
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size2.4 KiB
0.0
284 
0.006
 
1

Length

Max length5
Median length3
Mean length3.0070175
Min length3

Unique

Unique1 ?
Unique (%)0.4%

Sample

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

Common Values

ValueCountFrequency (%)
0.0 284
99.6%
0.006 1
 
0.4%

Length

2024-05-18T05:43:54.200138image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-18T05:43:54.536914image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0.0 284
99.6%
0.006 1
 
0.4%

셀레늄
Categorical

CONSTANT 

Distinct1
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size2.4 KiB
0
285 

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 (%)
0 285
100.0%

Length

2024-05-18T05:43:54.782951image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-18T05:43:54.950359image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 285
100.0%

수은
Categorical

CONSTANT 

Distinct1
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size2.4 KiB
0
285 

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 (%)
0 285
100.0%

Length

2024-05-18T05:43:55.195777image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-18T05:43:55.366161image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 285
100.0%

시안
Categorical

CONSTANT 

Distinct1
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size2.4 KiB
0
285 

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 (%)
0 285
100.0%

Length

2024-05-18T05:43:55.541050image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-18T05:43:55.908312image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 285
100.0%

크롬
Real number (ℝ)

ZEROS 

Distinct7
Distinct (%)2.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.033684211
Minimum0
Maximum1.3
Zeros274
Zeros (%)96.1%
Negative0
Negative (%)0.0%
Memory size2.6 KiB
2024-05-18T05:43:56.064871image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1.3
Range1.3
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.17798393
Coefficient of variation (CV)5.283898
Kurtosis31.942759
Mean0.033684211
Median Absolute Deviation (MAD)0
Skewness5.6099797
Sum9.6
Variance0.03167828
MonotonicityNot monotonic
2024-05-18T05:43:56.339864image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
0.0 274
96.1%
0.6 4
 
1.4%
1.3 2
 
0.7%
1.0 2
 
0.7%
1.2 1
 
0.4%
0.9 1
 
0.4%
0.5 1
 
0.4%
ValueCountFrequency (%)
0.0 274
96.1%
0.5 1
 
0.4%
0.6 4
 
1.4%
0.9 1
 
0.4%
1.0 2
 
0.7%
1.2 1
 
0.4%
1.3 2
 
0.7%
ValueCountFrequency (%)
1.3 2
 
0.7%
1.2 1
 
0.4%
1.0 2
 
0.7%
0.9 1
 
0.4%
0.6 4
 
1.4%
0.5 1
 
0.4%
0.0 274
96.1%

암모니아성질소
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size2.4 KiB
0.0
284 
0.04
 
1

Length

Max length4
Median length3
Mean length3.0035088
Min length3

Unique

Unique1 ?
Unique (%)0.4%

Sample

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

Common Values

ValueCountFrequency (%)
0.0 284
99.6%
0.04 1
 
0.4%

Length

2024-05-18T05:43:56.736461image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-18T05:43:57.034508image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0.0 284
99.6%
0.04 1
 
0.4%

질산성질소
Real number (ℝ)

ZEROS 

Distinct35
Distinct (%)12.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.7680702
Minimum0
Maximum4.4
Zeros13
Zeros (%)4.6%
Negative0
Negative (%)0.0%
Memory size2.6 KiB
2024-05-18T05:43:57.286202image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.2
Q11.5
median1.8
Q32.1
95-th percentile2.8
Maximum4.4
Range4.4
Interquartile range (IQR)0.6

Descriptive statistics

Standard deviation0.7494116
Coefficient of variation (CV)0.42385851
Kurtosis1.2096619
Mean1.7680702
Median Absolute Deviation (MAD)0.3
Skewness-0.31165859
Sum503.9
Variance0.56161774
MonotonicityNot monotonic
2024-05-18T05:43:57.648433image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=35)
ValueCountFrequency (%)
1.8 51
17.9%
2.0 33
 
11.6%
1.9 20
 
7.0%
2.1 19
 
6.7%
2.2 15
 
5.3%
0.0 13
 
4.6%
1.5 12
 
4.2%
1.4 10
 
3.5%
2.3 10
 
3.5%
1.6 8
 
2.8%
Other values (25) 94
33.0%
ValueCountFrequency (%)
0.0 13
4.6%
0.1 1
 
0.4%
0.2 2
 
0.7%
0.3 3
 
1.1%
0.4 2
 
0.7%
0.5 3
 
1.1%
0.6 5
 
1.8%
0.7 4
 
1.4%
0.8 7
2.5%
0.9 3
 
1.1%
ValueCountFrequency (%)
4.4 2
 
0.7%
4.0 1
 
0.4%
3.3 3
 
1.1%
3.1 2
 
0.7%
3.0 2
 
0.7%
2.9 2
 
0.7%
2.8 8
2.8%
2.7 5
1.8%
2.6 4
1.4%
2.5 8
2.8%

카드뮴
Real number (ℝ)

ZEROS 

Distinct10
Distinct (%)3.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.00046666667
Minimum0
Maximum0.022
Zeros274
Zeros (%)96.1%
Negative0
Negative (%)0.0%
Memory size2.6 KiB
2024-05-18T05:43:58.002844image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum0.022
Range0.022
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.0026543436
Coefficient of variation (CV)5.6878791
Kurtosis42.559111
Mean0.00046666667
Median Absolute Deviation (MAD)0
Skewness6.3897253
Sum0.133
Variance7.0455399 × 10-6
MonotonicityNot monotonic
2024-05-18T05:43:58.352226image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
0.0 274
96.1%
0.005 2
 
0.7%
0.022 2
 
0.7%
0.009 1
 
0.4%
0.003 1
 
0.4%
0.008 1
 
0.4%
0.015 1
 
0.4%
0.016 1
 
0.4%
0.017 1
 
0.4%
0.011 1
 
0.4%
ValueCountFrequency (%)
0.0 274
96.1%
0.003 1
 
0.4%
0.005 2
 
0.7%
0.008 1
 
0.4%
0.009 1
 
0.4%
0.011 1
 
0.4%
0.015 1
 
0.4%
0.016 1
 
0.4%
0.017 1
 
0.4%
0.022 2
 
0.7%
ValueCountFrequency (%)
0.022 2
 
0.7%
0.017 1
 
0.4%
0.016 1
 
0.4%
0.015 1
 
0.4%
0.011 1
 
0.4%
0.009 1
 
0.4%
0.008 1
 
0.4%
0.005 2
 
0.7%
0.003 1
 
0.4%
0.0 274
96.1%

보론
Real number (ℝ)

ZEROS 

Distinct8
Distinct (%)2.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.0041789474
Minimum0
Maximum0.06
Zeros194
Zeros (%)68.1%
Negative0
Negative (%)0.0%
Memory size2.6 KiB
2024-05-18T05:43:58.765378image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30.01
95-th percentile0.0108
Maximum0.06
Range0.06
Interquartile range (IQR)0.01

Descriptive statistics

Standard deviation0.0079487517
Coefficient of variation (CV)1.9020942
Kurtosis16.526892
Mean0.0041789474
Median Absolute Deviation (MAD)0
Skewness3.3860816
Sum1.191
Variance6.3182654 × 10-5
MonotonicityNot monotonic
2024-05-18T05:43:59.108848image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
0.0 194
68.1%
0.01 76
 
26.7%
0.02 8
 
2.8%
0.05 2
 
0.7%
0.03 2
 
0.7%
0.011 1
 
0.4%
0.06 1
 
0.4%
0.04 1
 
0.4%
ValueCountFrequency (%)
0.0 194
68.1%
0.01 76
 
26.7%
0.011 1
 
0.4%
0.02 8
 
2.8%
0.03 2
 
0.7%
0.04 1
 
0.4%
0.05 2
 
0.7%
0.06 1
 
0.4%
ValueCountFrequency (%)
0.06 1
 
0.4%
0.05 2
 
0.7%
0.04 1
 
0.4%
0.03 2
 
0.7%
0.02 8
 
2.8%
0.011 1
 
0.4%
0.01 76
 
26.7%
0.0 194
68.1%

페놀
Categorical

CONSTANT 

Distinct1
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size2.4 KiB
0
285 

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 (%)
0 285
100.0%

Length

2024-05-18T05:43:59.398679image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-18T05:43:59.566724image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 285
100.0%

다이아지논
Categorical

CONSTANT 

Distinct1
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size2.4 KiB
0
285 

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 (%)
0 285
100.0%

Length

2024-05-18T05:43:59.757946image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-18T05:44:00.048069image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 285
100.0%

파라티온
Categorical

CONSTANT 

Distinct1
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size2.4 KiB
0
285 

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 (%)
0 285
100.0%

Length

2024-05-18T05:44:00.431323image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-18T05:44:00.725951image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 285
100.0%

페니트로티온
Categorical

CONSTANT 

Distinct1
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size2.4 KiB
0
285 

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 (%)
0 285
100.0%

Length

2024-05-18T05:44:01.165546image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-18T05:44:01.481826image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 285
100.0%

카바릴
Categorical

CONSTANT 

Distinct1
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size2.4 KiB
0
285 

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 (%)
0 285
100.0%

Length

2024-05-18T05:44:01.811625image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-18T05:44:02.125876image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 285
100.0%

1_1_1-트리클로로에탄
Categorical

CONSTANT 

Distinct1
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size2.4 KiB
0
285 

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 (%)
0 285
100.0%

Length

2024-05-18T05:44:02.608111image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-18T05:44:02.906712image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 285
100.0%

테트라클로로에틸렌
Categorical

CONSTANT 

Distinct1
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size2.4 KiB
0
285 

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 (%)
0 285
100.0%

Length

2024-05-18T05:44:03.232154image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-18T05:44:03.534253image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 285
100.0%

트리클로로에틸렌
Categorical

CONSTANT 

Distinct1
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size2.4 KiB
0
285 

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 (%)
0 285
100.0%

Length

2024-05-18T05:44:03.828132image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-18T05:44:04.167872image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 285
100.0%

사염화탄소
Categorical

CONSTANT 

Distinct1
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size2.4 KiB
0
285 

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 (%)
0 285
100.0%

Length

2024-05-18T05:44:04.534993image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-18T05:44:04.845679image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 285
100.0%

1_1-디클로로에틸렌
Categorical

CONSTANT 

Distinct1
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size2.4 KiB
0
285 

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 (%)
0 285
100.0%

Length

2024-05-18T05:44:05.128021image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-18T05:44:05.307251image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 285
100.0%

디클로로메탄
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size2.4 KiB
0.0
284 
0.004
 
1

Length

Max length5
Median length3
Mean length3.0070175
Min length3

Unique

Unique1 ?
Unique (%)0.4%

Sample

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

Common Values

ValueCountFrequency (%)
0.0 284
99.6%
0.004 1
 
0.4%

Length

2024-05-18T05:44:05.667946image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-18T05:44:06.004917image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0.0 284
99.6%
0.004 1
 
0.4%

벤젠
Categorical

CONSTANT 

Distinct1
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size2.4 KiB
0
285 

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 (%)
0 285
100.0%

Length

2024-05-18T05:44:06.324782image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-18T05:44:06.632746image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 285
100.0%

톨루엔
Categorical

IMBALANCE 

Distinct3
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Memory size2.4 KiB
0.0
275 
0.003
 
8
0.002
 
2

Length

Max length5
Median length3
Mean length3.0701754
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0.0 275
96.5%
0.003 8
 
2.8%
0.002 2
 
0.7%

Length

2024-05-18T05:44:06.972891image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-18T05:44:07.317363image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0.0 275
96.5%
0.003 8
 
2.8%
0.002 2
 
0.7%

에틸벤젠
Categorical

CONSTANT 

Distinct1
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size2.4 KiB
0
285 

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 (%)
0 285
100.0%

Length

2024-05-18T05:44:07.602478image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-18T05:44:07.809935image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 285
100.0%

크실렌
Real number (ℝ)

ZEROS 

Distinct14
Distinct (%)4.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.1965439
Minimum0
Maximum75
Zeros269
Zeros (%)94.4%
Negative0
Negative (%)0.0%
Memory size2.6 KiB
2024-05-18T05:44:08.013129image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0.002
Maximum75
Range75
Interquartile range (IQR)0

Descriptive statistics

Standard deviation11.143262
Coefficient of variation (CV)5.0730888
Kurtosis24.34571
Mean2.1965439
Median Absolute Deviation (MAD)0
Skewness5.0405556
Sum626.015
Variance124.17229
MonotonicityNot monotonic
2024-05-18T05:44:08.382849image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
0.0 269
94.4%
0.002 3
 
1.1%
50.0 2
 
0.7%
0.006 1
 
0.4%
0.003 1
 
0.4%
60.0 1
 
0.4%
59.0 1
 
0.4%
62.0 1
 
0.4%
75.0 1
 
0.4%
69.0 1
 
0.4%
Other values (4) 4
 
1.4%
ValueCountFrequency (%)
0.0 269
94.4%
0.002 3
 
1.1%
0.003 1
 
0.4%
0.006 1
 
0.4%
40.0 1
 
0.4%
48.0 1
 
0.4%
50.0 2
 
0.7%
52.0 1
 
0.4%
59.0 1
 
0.4%
60.0 1
 
0.4%
ValueCountFrequency (%)
75.0 1
0.4%
69.0 1
0.4%
62.0 1
0.4%
61.0 1
0.4%
60.0 1
0.4%
59.0 1
0.4%
52.0 1
0.4%
50.0 2
0.7%
48.0 1
0.4%
40.0 1
0.4%

1_2-디브로모-3-클로로프로판
Real number (ℝ)

ZEROS 

Distinct8
Distinct (%)2.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.021754386
Minimum0
Maximum2.6
Zeros278
Zeros (%)97.5%
Negative0
Negative (%)0.0%
Memory size2.6 KiB
2024-05-18T05:44:08.737004image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum2.6
Range2.6
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.17925042
Coefficient of variation (CV)8.2397372
Kurtosis156.02663
Mean0.021754386
Median Absolute Deviation (MAD)0
Skewness11.649728
Sum6.2
Variance0.032130714
MonotonicityNot monotonic
2024-05-18T05:44:09.017716image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
0.0 278
97.5%
1.0 1
 
0.4%
0.4 1
 
0.4%
0.5 1
 
0.4%
0.8 1
 
0.4%
0.3 1
 
0.4%
2.6 1
 
0.4%
0.6 1
 
0.4%
ValueCountFrequency (%)
0.0 278
97.5%
0.3 1
 
0.4%
0.4 1
 
0.4%
0.5 1
 
0.4%
0.6 1
 
0.4%
0.8 1
 
0.4%
1.0 1
 
0.4%
2.6 1
 
0.4%
ValueCountFrequency (%)
2.6 1
 
0.4%
1.0 1
 
0.4%
0.8 1
 
0.4%
0.6 1
 
0.4%
0.5 1
 
0.4%
0.4 1
 
0.4%
0.3 1
 
0.4%
0.0 278
97.5%

1_4-다이옥산
Categorical

IMBALANCE 

Distinct4
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Memory size2.4 KiB
0.0
279 
0.002
 
3
0.003
 
2
0.001
 
1

Length

Max length5
Median length3
Mean length3.0421053
Min length3

Unique

Unique1 ?
Unique (%)0.4%

Sample

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

Common Values

ValueCountFrequency (%)
0.0 279
97.9%
0.002 3
 
1.1%
0.003 2
 
0.7%
0.001 1
 
0.4%

Length

2024-05-18T05:44:09.333878image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-18T05:44:09.686761image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0.0 279
97.9%
0.002 3
 
1.1%
0.003 2
 
0.7%
0.001 1
 
0.4%

잔류염소
Real number (ℝ)

ZEROS 

Distinct72
Distinct (%)25.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.7105614
Minimum0
Maximum1.22
Zeros12
Zeros (%)4.2%
Negative0
Negative (%)0.0%
Memory size2.6 KiB
2024-05-18T05:44:10.012755image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.34
Q10.62
median0.74
Q30.85
95-th percentile0.98
Maximum1.22
Range1.22
Interquartile range (IQR)0.23

Descriptive statistics

Standard deviation0.21936617
Coefficient of variation (CV)0.30872232
Kurtosis2.7019908
Mean0.7105614
Median Absolute Deviation (MAD)0.12
Skewness-1.2538506
Sum202.51
Variance0.048121515
MonotonicityNot monotonic
2024-05-18T05:44:10.335745image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.82 15
 
5.3%
0.0 12
 
4.2%
0.87 11
 
3.9%
0.8 11
 
3.9%
0.86 9
 
3.2%
0.71 9
 
3.2%
0.62 8
 
2.8%
0.7 8
 
2.8%
0.63 7
 
2.5%
0.53 7
 
2.5%
Other values (62) 188
66.0%
ValueCountFrequency (%)
0.0 12
4.2%
0.29 1
 
0.4%
0.32 1
 
0.4%
0.34 2
 
0.7%
0.38 1
 
0.4%
0.39 1
 
0.4%
0.41 2
 
0.7%
0.43 1
 
0.4%
0.44 2
 
0.7%
0.45 2
 
0.7%
ValueCountFrequency (%)
1.22 1
 
0.4%
1.2 1
 
0.4%
1.18 1
 
0.4%
1.15 1
 
0.4%
1.1 1
 
0.4%
1.08 1
 
0.4%
1.06 1
 
0.4%
1.04 1
 
0.4%
1.02 3
1.1%
0.99 3
1.1%

총트리할로메탄
Real number (ℝ)

ZEROS 

Distinct56
Distinct (%)19.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.022175439
Minimum0
Maximum0.19
Zeros16
Zeros (%)5.6%
Negative0
Negative (%)0.0%
Memory size2.6 KiB
2024-05-18T05:44:10.762754image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10.01
median0.018
Q30.029
95-th percentile0.049
Maximum0.19
Range0.19
Interquartile range (IQR)0.019

Descriptive statistics

Standard deviation0.018095524
Coefficient of variation (CV)0.81601651
Kurtosis26.192912
Mean0.022175439
Median Absolute Deviation (MAD)0.008
Skewness3.5296356
Sum6.32
Variance0.00032744799
MonotonicityNot monotonic
2024-05-18T05:44:11.098114image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.01 38
 
13.3%
0.0 16
 
5.6%
0.012 14
 
4.9%
0.017 13
 
4.6%
0.028 10
 
3.5%
0.026 9
 
3.2%
0.024 8
 
2.8%
0.014 8
 
2.8%
0.03 7
 
2.5%
0.027 7
 
2.5%
Other values (46) 155
54.4%
ValueCountFrequency (%)
0.0 16
5.6%
0.002 1
 
0.4%
0.004 3
 
1.1%
0.005 3
 
1.1%
0.006 5
 
1.8%
0.007 5
 
1.8%
0.008 3
 
1.1%
0.009 6
 
2.1%
0.01 38
13.3%
0.011 3
 
1.1%
ValueCountFrequency (%)
0.19 1
0.4%
0.086 1
0.4%
0.084 1
0.4%
0.077 1
0.4%
0.069 1
0.4%
0.066 2
0.7%
0.062 2
0.7%
0.061 2
0.7%
0.059 1
0.4%
0.056 2
0.7%

클로로포름
Real number (ℝ)

ZEROS 

Distinct47
Distinct (%)16.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.014687719
Minimum0
Maximum0.17
Zeros20
Zeros (%)7.0%
Negative0
Negative (%)0.0%
Memory size2.6 KiB
2024-05-18T05:44:11.440496image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10.005
median0.011
Q30.02
95-th percentile0.0368
Maximum0.17
Range0.17
Interquartile range (IQR)0.015

Descriptive statistics

Standard deviation0.015060349
Coefficient of variation (CV)1.0253701
Kurtosis39.817905
Mean0.014687719
Median Absolute Deviation (MAD)0.007
Skewness4.571676
Sum4.186
Variance0.00022681411
MonotonicityNot monotonic
2024-05-18T05:44:11.822273image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=47)
ValueCountFrequency (%)
0.004 37
 
13.0%
0.0 20
 
7.0%
0.007 15
 
5.3%
0.006 15
 
5.3%
0.011 13
 
4.6%
0.008 13
 
4.6%
0.014 12
 
4.2%
0.013 12
 
4.2%
0.012 11
 
3.9%
0.01 10
 
3.5%
Other values (37) 127
44.6%
ValueCountFrequency (%)
0.0 20
7.0%
0.003 8
 
2.8%
0.004 37
13.0%
0.005 9
 
3.2%
0.006 15
5.3%
0.007 15
5.3%
0.008 13
 
4.6%
0.009 3
 
1.1%
0.01 10
 
3.5%
0.011 13
 
4.6%
ValueCountFrequency (%)
0.17 1
0.4%
0.065 1
0.4%
0.06 1
0.4%
0.058 1
0.4%
0.054 2
0.7%
0.052 1
0.4%
0.049 1
0.4%
0.048 2
0.7%
0.045 1
0.4%
0.042 1
0.4%

브로모디클로로메탄
Real number (ℝ)

ZEROS 

Distinct19
Distinct (%)6.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.0054245614
Minimum0
Maximum0.03
Zeros30
Zeros (%)10.5%
Negative0
Negative (%)0.0%
Memory size2.6 KiB
2024-05-18T05:44:12.132101image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10.003
median0.005
Q30.007
95-th percentile0.011
Maximum0.03
Range0.03
Interquartile range (IQR)0.004

Descriptive statistics

Standard deviation0.0038900505
Coefficient of variation (CV)0.71711798
Kurtosis6.4216813
Mean0.0054245614
Median Absolute Deviation (MAD)0.002
Skewness1.6257998
Sum1.546
Variance1.5132493 × 10-5
MonotonicityNot monotonic
2024-05-18T05:44:12.472888image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
0.003 52
18.2%
0.004 37
13.0%
0.006 35
12.3%
0.0 30
10.5%
0.007 23
8.1%
0.005 20
 
7.0%
0.008 18
 
6.3%
0.009 18
 
6.3%
0.002 16
 
5.6%
0.01 14
 
4.9%
Other values (9) 22
7.7%
ValueCountFrequency (%)
0.0 30
10.5%
0.001 2
 
0.7%
0.002 16
 
5.6%
0.003 52
18.2%
0.004 37
13.0%
0.005 20
 
7.0%
0.006 35
12.3%
0.007 23
8.1%
0.008 18
 
6.3%
0.009 18
 
6.3%
ValueCountFrequency (%)
0.03 1
 
0.4%
0.023 1
 
0.4%
0.018 1
 
0.4%
0.016 1
 
0.4%
0.015 5
 
1.8%
0.014 2
 
0.7%
0.012 2
 
0.7%
0.011 7
 
2.5%
0.01 14
4.9%
0.009 18
6.3%

디브로모디클로로메탄
Real number (ℝ)

ZEROS 

Distinct15
Distinct (%)5.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.27305965
Minimum0
Maximum7.3
Zeros141
Zeros (%)49.5%
Negative0
Negative (%)0.0%
Memory size2.6 KiB
2024-05-18T05:44:12.817395image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0.001
Q30.003
95-th percentile0.007
Maximum7.3
Range7.3
Interquartile range (IQR)0.003

Descriptive statistics

Standard deviation1.3580118
Coefficient of variation (CV)4.9733154
Kurtosis21.416805
Mean0.27305965
Median Absolute Deviation (MAD)0.001
Skewness4.8215656
Sum77.822
Variance1.8441959
MonotonicityNot monotonic
2024-05-18T05:44:13.194805image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=15)
ValueCountFrequency (%)
0.0 141
49.5%
0.002 55
 
19.3%
0.004 30
 
10.5%
0.003 19
 
6.7%
0.005 9
 
3.2%
0.001 8
 
2.8%
0.006 7
 
2.5%
0.007 4
 
1.4%
7.1 3
 
1.1%
7.0 3
 
1.1%
Other values (5) 6
 
2.1%
ValueCountFrequency (%)
0.0 141
49.5%
0.001 8
 
2.8%
0.002 55
 
19.3%
0.003 19
 
6.7%
0.004 30
 
10.5%
0.005 9
 
3.2%
0.006 7
 
2.5%
0.007 4
 
1.4%
0.012 1
 
0.4%
6.6 1
 
0.4%
ValueCountFrequency (%)
7.3 1
 
0.4%
7.2 2
 
0.7%
7.1 3
 
1.1%
7.0 3
 
1.1%
6.8 1
 
0.4%
6.6 1
 
0.4%
0.012 1
 
0.4%
0.007 4
1.4%
0.006 7
2.5%
0.005 9
3.2%

클로랄하이드레이트
Real number (ℝ)

ZEROS 

Distinct77
Distinct (%)27.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.0027708772
Minimum0
Maximum0.053
Zeros91
Zeros (%)31.9%
Negative0
Negative (%)0.0%
Memory size2.6 KiB
2024-05-18T05:44:13.826045image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0.0017
Q30.0037
95-th percentile0.00788
Maximum0.053
Range0.053
Interquartile range (IQR)0.0037

Descriptive statistics

Standard deviation0.0047742518
Coefficient of variation (CV)1.723011
Kurtosis49.271512
Mean0.0027708772
Median Absolute Deviation (MAD)0.0017
Skewness5.8169561
Sum0.7897
Variance2.279348 × 10-5
MonotonicityNot monotonic
2024-05-18T05:44:14.169500image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 91
31.9%
0.0007 9
 
3.2%
0.0018 8
 
2.8%
0.0047 7
 
2.5%
0.0006 6
 
2.1%
0.0021 6
 
2.1%
0.0022 6
 
2.1%
0.0012 5
 
1.8%
0.0038 5
 
1.8%
0.0017 5
 
1.8%
Other values (67) 137
48.1%
ValueCountFrequency (%)
0.0 91
31.9%
0.0005 2
 
0.7%
0.0006 6
 
2.1%
0.0007 9
 
3.2%
0.0008 3
 
1.1%
0.0009 4
 
1.4%
0.001 4
 
1.4%
0.0011 2
 
0.7%
0.0012 5
 
1.8%
0.0013 1
 
0.4%
ValueCountFrequency (%)
0.053 1
0.4%
0.03 1
0.4%
0.0258 1
0.4%
0.025 1
0.4%
0.0173 1
0.4%
0.0144 2
0.7%
0.0123 1
0.4%
0.011 1
0.4%
0.01 1
0.4%
0.0093 1
0.4%

디브로모아세토니트릴
Real number (ℝ)

ZEROS 

Distinct34
Distinct (%)11.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.19802561
Minimum0
Maximum6.7
Zeros182
Zeros (%)63.9%
Negative0
Negative (%)0.0%
Memory size2.6 KiB
2024-05-18T05:44:14.568175image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30.0009
95-th percentile0.0038
Maximum6.7
Range6.7
Interquartile range (IQR)0.0009

Descriptive statistics

Standard deviation1.0455044
Coefficient of variation (CV)5.2796421
Kurtosis25.674522
Mean0.19802561
Median Absolute Deviation (MAD)0
Skewness5.202141
Sum56.4373
Variance1.0930794
MonotonicityNot monotonic
2024-05-18T05:44:14.985468image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=34)
ValueCountFrequency (%)
0.0 182
63.9%
0.0009 12
 
4.2%
0.0008 12
 
4.2%
0.001 10
 
3.5%
0.0007 8
 
2.8%
0.0011 7
 
2.5%
0.0012 7
 
2.5%
0.0006 4
 
1.4%
0.0018 4
 
1.4%
0.0005 3
 
1.1%
Other values (24) 36
 
12.6%
ValueCountFrequency (%)
0.0 182
63.9%
0.0005 3
 
1.1%
0.0006 4
 
1.4%
0.0007 8
 
2.8%
0.0008 12
 
4.2%
0.0009 12
 
4.2%
0.001 10
 
3.5%
0.0011 7
 
2.5%
0.0012 7
 
2.5%
0.0013 2
 
0.7%
ValueCountFrequency (%)
6.7 1
0.4%
6.3 1
0.4%
6.2 2
0.7%
6.0 1
0.4%
5.2 1
0.4%
5.1 1
0.4%
5.0 1
0.4%
4.9 1
0.4%
4.7 1
0.4%
0.019 1
0.4%

디클로로아세토니트릴
Real number (ℝ)

ZEROS 

Distinct55
Distinct (%)19.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.73452
Minimum0
Maximum151
Zeros125
Zeros (%)43.9%
Negative0
Negative (%)0.0%
Memory size2.6 KiB
2024-05-18T05:44:15.467886image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0.0008
Q30.0022
95-th percentile0.0069
Maximum151
Range151
Interquartile range (IQR)0.0022

Descriptive statistics

Standard deviation18.998073
Coefficient of variation (CV)5.0871527
Kurtosis26.599196
Mean3.73452
Median Absolute Deviation (MAD)0.0008
Skewness5.1603634
Sum1064.3382
Variance360.92679
MonotonicityNot monotonic
2024-05-18T05:44:15.924619image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 125
43.9%
0.0012 9
 
3.2%
0.0022 8
 
2.8%
0.001 7
 
2.5%
0.0008 6
 
2.1%
0.0019 6
 
2.1%
0.0006 6
 
2.1%
0.0015 6
 
2.1%
0.0018 6
 
2.1%
0.0005 6
 
2.1%
Other values (45) 100
35.1%
ValueCountFrequency (%)
0.0 125
43.9%
0.0005 6
 
2.1%
0.0006 6
 
2.1%
0.0007 2
 
0.7%
0.0008 6
 
2.1%
0.0009 2
 
0.7%
0.001 7
 
2.5%
0.0011 4
 
1.4%
0.0012 9
 
3.2%
0.0013 5
 
1.8%
ValueCountFrequency (%)
151.0 1
0.4%
102.0 1
0.4%
98.0 1
0.4%
95.0 1
0.4%
93.0 2
0.7%
90.0 1
0.4%
87.0 1
0.4%
86.0 1
0.4%
85.0 1
0.4%
84.0 1
0.4%

트리클로로아세토니트릴
Real number (ℝ)

ZEROS 

Distinct11
Distinct (%)3.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.00010666667
Minimum0
Maximum0.0024
Zeros250
Zeros (%)87.7%
Negative0
Negative (%)0.0%
Memory size2.6 KiB
2024-05-18T05:44:16.327060image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0.0009
Maximum0.0024
Range0.0024
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.00030843388
Coefficient of variation (CV)2.8915676
Kurtosis13.562851
Mean0.00010666667
Median Absolute Deviation (MAD)0
Skewness3.3283331
Sum0.0304
Variance9.5131455 × 10-8
MonotonicityNot monotonic
2024-05-18T05:44:16.716443image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
0.0 250
87.7%
0.0007 7
 
2.5%
0.0009 6
 
2.1%
0.001 5
 
1.8%
0.0008 5
 
1.8%
0.0006 4
 
1.4%
0.0005 3
 
1.1%
0.0011 2
 
0.7%
0.0012 1
 
0.4%
0.0024 1
 
0.4%
ValueCountFrequency (%)
0.0 250
87.7%
0.0005 3
 
1.1%
0.0006 4
 
1.4%
0.0007 7
 
2.5%
0.0008 5
 
1.8%
0.0009 6
 
2.1%
0.001 5
 
1.8%
0.0011 2
 
0.7%
0.0012 1
 
0.4%
0.0014 1
 
0.4%
ValueCountFrequency (%)
0.0024 1
 
0.4%
0.0014 1
 
0.4%
0.0012 1
 
0.4%
0.0011 2
 
0.7%
0.001 5
1.8%
0.0009 6
2.1%
0.0008 5
1.8%
0.0007 7
2.5%
0.0006 4
1.4%
0.0005 3
1.1%

할로아세틱에시드
Real number (ℝ)

ZEROS 

Distinct37
Distinct (%)13.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.011410526
Minimum0
Maximum0.046
Zeros41
Zeros (%)14.4%
Negative0
Negative (%)0.0%
Memory size2.6 KiB
2024-05-18T05:44:17.169596image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10.005
median0.01
Q30.016
95-th percentile0.0312
Maximum0.046
Range0.046
Interquartile range (IQR)0.011

Descriptive statistics

Standard deviation0.0094072508
Coefficient of variation (CV)0.82443619
Kurtosis1.6141474
Mean0.011410526
Median Absolute Deviation (MAD)0.005
Skewness1.1985624
Sum3.252
Variance8.8496368 × 10-5
MonotonicityNot monotonic
2024-05-18T05:44:17.578629image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=37)
ValueCountFrequency (%)
0.01 41
 
14.4%
0.0 41
 
14.4%
0.008 16
 
5.6%
0.006 14
 
4.9%
0.005 12
 
4.2%
0.012 12
 
4.2%
0.007 11
 
3.9%
0.009 10
 
3.5%
0.011 10
 
3.5%
0.004 9
 
3.2%
Other values (27) 109
38.2%
ValueCountFrequency (%)
0.0 41
14.4%
0.001 1
 
0.4%
0.002 5
 
1.8%
0.003 9
 
3.2%
0.004 9
 
3.2%
0.005 12
 
4.2%
0.006 14
 
4.9%
0.007 11
 
3.9%
0.008 16
 
5.6%
0.009 10
 
3.5%
ValueCountFrequency (%)
0.046 1
 
0.4%
0.044 2
 
0.7%
0.043 1
 
0.4%
0.041 1
 
0.4%
0.037 1
 
0.4%
0.036 3
1.1%
0.034 2
 
0.7%
0.033 2
 
0.7%
0.032 2
 
0.7%
0.028 5
1.8%

포름알데히드
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size2.4 KiB
0.0
284 
0.02
 
1

Length

Max length4
Median length3
Mean length3.0035088
Min length3

Unique

Unique1 ?
Unique (%)0.4%

Sample

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

Common Values

ValueCountFrequency (%)
0.0 284
99.6%
0.02 1
 
0.4%

Length

2024-05-18T05:44:17.973891image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-18T05:44:18.312985image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0.0 284
99.6%
0.02 1
 
0.4%

심미적영향물질경도
Real number (ℝ)

ZEROS 

Distinct71
Distinct (%)24.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean57.870175
Minimum0
Maximum142
Zeros31
Zeros (%)10.9%
Negative0
Negative (%)0.0%
Memory size2.6 KiB
2024-05-18T05:44:18.637091image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q151
median64
Q374
95-th percentile94
Maximum142
Range142
Interquartile range (IQR)23

Descriptive statistics

Standard deviation28.572751
Coefficient of variation (CV)0.4937388
Kurtosis0.71050882
Mean57.870175
Median Absolute Deviation (MAD)11
Skewness-0.54290712
Sum16493
Variance816.4021
MonotonicityNot monotonic
2024-05-18T05:44:19.065644image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 31
 
10.9%
70 10
 
3.5%
71 9
 
3.2%
74 9
 
3.2%
56 9
 
3.2%
53 9
 
3.2%
64 8
 
2.8%
61 8
 
2.8%
66 8
 
2.8%
76 8
 
2.8%
Other values (61) 176
61.8%
ValueCountFrequency (%)
0 31
10.9%
4 2
 
0.7%
5 3
 
1.1%
6 4
 
1.4%
7 1
 
0.4%
9 1
 
0.4%
15 1
 
0.4%
25 1
 
0.4%
35 1
 
0.4%
38 1
 
0.4%
ValueCountFrequency (%)
142 1
0.4%
141 1
0.4%
136 1
0.4%
133 1
0.4%
126 1
0.4%
117 1
0.4%
116 1
0.4%
108 1
0.4%
106 2
0.7%
99 1
0.4%

과망간산칼륨소비량
Real number (ℝ)

ZEROS 

Distinct36
Distinct (%)12.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.3519298
Minimum0
Maximum4
Zeros50
Zeros (%)17.5%
Negative0
Negative (%)0.0%
Memory size2.6 KiB
2024-05-18T05:44:19.457716image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10.6
median1.5
Q32
95-th percentile2.8
Maximum4
Range4
Interquartile range (IQR)1.4

Descriptive statistics

Standard deviation0.91139894
Coefficient of variation (CV)0.67414663
Kurtosis-0.7727508
Mean1.3519298
Median Absolute Deviation (MAD)0.6
Skewness-0.0093180521
Sum385.3
Variance0.83064802
MonotonicityNot monotonic
2024-05-18T05:44:19.786066image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=36)
ValueCountFrequency (%)
0.0 50
17.5%
2.0 37
 
13.0%
1.7 14
 
4.9%
1.9 14
 
4.9%
1.2 13
 
4.6%
1.5 13
 
4.6%
2.2 11
 
3.9%
1.1 10
 
3.5%
1.6 10
 
3.5%
2.1 9
 
3.2%
Other values (26) 104
36.5%
ValueCountFrequency (%)
0.0 50
17.5%
0.02 2
 
0.7%
0.03 2
 
0.7%
0.3 1
 
0.4%
0.4 9
 
3.2%
0.5 5
 
1.8%
0.6 6
 
2.1%
0.7 9
 
3.2%
0.8 4
 
1.4%
0.9 6
 
2.1%
ValueCountFrequency (%)
4.0 1
 
0.4%
3.5 1
 
0.4%
3.4 2
 
0.7%
3.2 1
 
0.4%
3.1 1
 
0.4%
3.0 3
1.1%
2.9 2
 
0.7%
2.8 5
1.8%
2.7 4
1.4%
2.6 6
2.1%

냄새
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size2.4 KiB
없음
274 
있음
 
11

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 274
96.1%
있음 11
 
3.9%

Length

2024-05-18T05:44:20.210537image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-18T05:44:20.386494image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
없음 274
96.1%
있음 11
 
3.9%

맛
Categorical

CONSTANT 

Distinct1
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size2.4 KiB
없음
285 

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 285
100.0%

Length

2024-05-18T05:44:20.655524image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-18T05:44:20.952310image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
없음 285
100.0%

동
Real number (ℝ)

ZEROS 

Distinct16
Distinct (%)5.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.0011263158
Minimum0
Maximum0.055
Zeros263
Zeros (%)92.3%
Negative0
Negative (%)0.0%
Memory size2.6 KiB
2024-05-18T05:44:21.235580image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0.008
Maximum0.055
Range0.055
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.0050131702
Coefficient of variation (CV)4.4509455
Kurtosis55.711769
Mean0.0011263158
Median Absolute Deviation (MAD)0
Skewness6.6146804
Sum0.321
Variance2.5131875 × 10-5
MonotonicityNot monotonic
2024-05-18T05:44:21.594613image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
0.0 263
92.3%
0.008 3
 
1.1%
0.007 2
 
0.7%
0.017 2
 
0.7%
0.009 2
 
0.7%
0.004 2
 
0.7%
0.013 2
 
0.7%
0.022 1
 
0.4%
0.034 1
 
0.4%
0.018 1
 
0.4%
Other values (6) 6
 
2.1%
ValueCountFrequency (%)
0.0 263
92.3%
0.003 1
 
0.4%
0.004 2
 
0.7%
0.007 2
 
0.7%
0.008 3
 
1.1%
0.009 2
 
0.7%
0.012 1
 
0.4%
0.013 2
 
0.7%
0.014 1
 
0.4%
0.017 2
 
0.7%
ValueCountFrequency (%)
0.055 1
0.4%
0.034 1
0.4%
0.022 1
0.4%
0.02 1
0.4%
0.019 1
0.4%
0.018 1
0.4%
0.017 2
0.7%
0.014 1
0.4%
0.013 2
0.7%
0.012 1
0.4%

색도
Categorical

Distinct2
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size2.4 KiB
0
238 
1
47 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 238
83.5%
1 47
 
16.5%

Length

2024-05-18T05:44:21.992050image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-18T05:44:22.267534image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 238
83.5%
1 47
 
16.5%

세제
Real number (ℝ)

ZEROS 

Distinct10
Distinct (%)3.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.00019473684
Minimum0
Maximum0.0118
Zeros276
Zeros (%)96.8%
Negative0
Negative (%)0.0%
Memory size2.6 KiB
2024-05-18T05:44:22.431847image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum0.0118
Range0.0118
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.0012041625
Coefficient of variation (CV)6.1835373
Kurtosis53.446811
Mean0.00019473684
Median Absolute Deviation (MAD)0
Skewness7.0565669
Sum0.0555
Variance1.4500074 × 10-6
MonotonicityNot monotonic
2024-05-18T05:44:22.864200image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
0.0 276
96.8%
0.0059 1
 
0.4%
0.0023 1
 
0.4%
0.0052 1
 
0.4%
0.0093 1
 
0.4%
0.003 1
 
0.4%
0.0118 1
 
0.4%
0.0087 1
 
0.4%
0.0056 1
 
0.4%
0.0037 1
 
0.4%
ValueCountFrequency (%)
0.0 276
96.8%
0.0023 1
 
0.4%
0.003 1
 
0.4%
0.0037 1
 
0.4%
0.0052 1
 
0.4%
0.0056 1
 
0.4%
0.0059 1
 
0.4%
0.0087 1
 
0.4%
0.0093 1
 
0.4%
0.0118 1
 
0.4%
ValueCountFrequency (%)
0.0118 1
 
0.4%
0.0093 1
 
0.4%
0.0087 1
 
0.4%
0.0059 1
 
0.4%
0.0056 1
 
0.4%
0.0052 1
 
0.4%
0.0037 1
 
0.4%
0.003 1
 
0.4%
0.0023 1
 
0.4%
0.0 276
96.8%

수소이온농도
Real number (ℝ)

ZEROS 

Distinct20
Distinct (%)7.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.1723193
Minimum0
Maximum7.9
Zeros40
Zeros (%)14.0%
Negative0
Negative (%)0.0%
Memory size2.6 KiB
2024-05-18T05:44:23.230902image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q17
median7.2
Q37.4
95-th percentile7.6
Maximum7.9
Range7.9
Interquartile range (IQR)0.4

Descriptive statistics

Standard deviation2.582053
Coefficient of variation (CV)0.41832784
Kurtosis1.9348405
Mean6.1723193
Median Absolute Deviation (MAD)0.2
Skewness-1.9628196
Sum1759.111
Variance6.6669976
MonotonicityNot monotonic
2024-05-18T05:44:23.479806image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=20)
ValueCountFrequency (%)
7.2 40
14.0%
7.1 40
14.0%
0.0 40
14.0%
7.3 38
13.3%
7.4 33
11.6%
7.0 25
8.8%
7.5 20
7.0%
7.6 11
 
3.9%
6.9 8
 
2.8%
7.7 5
 
1.8%
Other values (10) 25
8.8%
ValueCountFrequency (%)
0.0 40
14.0%
0.0005 2
 
0.7%
6.2 1
 
0.4%
6.4 1
 
0.4%
6.5 1
 
0.4%
6.6 4
 
1.4%
6.7 3
 
1.1%
6.8 4
 
1.4%
6.9 8
 
2.8%
7.0 25
8.8%
ValueCountFrequency (%)
7.9 4
 
1.4%
7.8 4
 
1.4%
7.7 5
 
1.8%
7.61 1
 
0.4%
7.6 11
 
3.9%
7.5 20
7.0%
7.4 33
11.6%
7.3 38
13.3%
7.2 40
14.0%
7.1 40
14.0%

아연
Real number (ℝ)

ZEROS 

Distinct30
Distinct (%)10.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.0027477193
Minimum0
Maximum0.075
Zeros172
Zeros (%)60.4%
Negative0
Negative (%)0.0%
Memory size2.6 KiB
2024-05-18T05:44:23.723480image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30.003
95-th percentile0.0128
Maximum0.075
Range0.075
Interquartile range (IQR)0.003

Descriptive statistics

Standard deviation0.0072111834
Coefficient of variation (CV)2.6244251
Kurtosis43.515963
Mean0.0027477193
Median Absolute Deviation (MAD)0
Skewness5.7170875
Sum0.7831
Variance5.2001166 × 10-5
MonotonicityNot monotonic
2024-05-18T05:44:24.011857image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%)
0.0 172
60.4%
0.002 30
 
10.5%
0.003 24
 
8.4%
0.004 18
 
6.3%
0.006 6
 
2.1%
0.012 4
 
1.4%
0.007 3
 
1.1%
0.016 2
 
0.7%
0.013 2
 
0.7%
0.005 2
 
0.7%
Other values (20) 22
 
7.7%
ValueCountFrequency (%)
0.0 172
60.4%
0.0016 1
 
0.4%
0.0018 1
 
0.4%
0.002 30
 
10.5%
0.0021 1
 
0.4%
0.0022 1
 
0.4%
0.0023 1
 
0.4%
0.0028 1
 
0.4%
0.003 24
 
8.4%
0.0033 1
 
0.4%
ValueCountFrequency (%)
0.075 1
0.4%
0.048 1
0.4%
0.037 1
0.4%
0.03 1
0.4%
0.029 1
0.4%
0.027 1
0.4%
0.025 1
0.4%
0.024 1
0.4%
0.022 1
0.4%
0.017 2
0.7%

염소이온
Real number (ℝ)

ZEROS 

Distinct150
Distinct (%)52.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean17.152288
Minimum0
Maximum118.8
Zeros39
Zeros (%)13.7%
Negative0
Negative (%)0.0%
Memory size2.6 KiB
2024-05-18T05:44:24.388023image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q17
median18.9
Q322.3
95-th percentile30.92
Maximum118.8
Range118.8
Interquartile range (IQR)15.3

Descriptive statistics

Standard deviation13.391152
Coefficient of variation (CV)0.78072099
Kurtosis17.806241
Mean17.152288
Median Absolute Deviation (MAD)5.6
Skewness2.7896363
Sum4888.4022
Variance179.32294
MonotonicityNot monotonic
2024-05-18T05:44:24.660922image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 39
 
13.7%
21.0 7
 
2.5%
19.7 5
 
1.8%
7.0 4
 
1.4%
19.1 4
 
1.4%
19.0 4
 
1.4%
22.2 4
 
1.4%
21.4 4
 
1.4%
6.6 4
 
1.4%
8.4 3
 
1.1%
Other values (140) 207
72.6%
ValueCountFrequency (%)
0.0 39
13.7%
0.0008 1
 
0.4%
0.0014 1
 
0.4%
1.1 1
 
0.4%
1.6 1
 
0.4%
2.0 1
 
0.4%
2.4 1
 
0.4%
3.2 1
 
0.4%
3.6 2
 
0.7%
4.0 1
 
0.4%
ValueCountFrequency (%)
118.8 1
0.4%
95.1 1
0.4%
93.5 1
0.4%
50.2 1
0.4%
48.0 1
0.4%
46.7 1
0.4%
42.9 1
0.4%
36.0 1
0.4%
35.5 1
0.4%
34.0 1
0.4%

증발잔류물
Real number (ℝ)

Distinct131
Distinct (%)46.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean114.94092
Minimum0.003
Maximum392
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.6 KiB
2024-05-18T05:44:25.002333image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0.003
5-th percentile44
Q187
median114
Q3142
95-th percentile178
Maximum392
Range391.997
Interquartile range (IQR)55

Descriptive statistics

Standard deviation52.117857
Coefficient of variation (CV)0.45343172
Kurtosis4.6153836
Mean114.94092
Median Absolute Deviation (MAD)27
Skewness0.94186247
Sum32758.161
Variance2716.271
MonotonicityNot monotonic
2024-05-18T05:44:25.401470image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
159.0 32
 
11.2%
109.0 7
 
2.5%
123.0 6
 
2.1%
112.0 6
 
2.1%
122.0 6
 
2.1%
111.0 5
 
1.8%
118.0 5
 
1.8%
120.0 5
 
1.8%
107.0 4
 
1.4%
93.0 4
 
1.4%
Other values (121) 205
71.9%
ValueCountFrequency (%)
0.003 1
0.4%
0.007 1
0.4%
0.008 1
0.4%
0.009 1
0.4%
0.011 1
0.4%
0.015 1
0.4%
0.018 1
0.4%
0.019 1
0.4%
0.021 1
0.4%
0.024 1
0.4%
ValueCountFrequency (%)
392.0 1
0.4%
351.0 1
0.4%
325.0 1
0.4%
252.0 1
0.4%
248.0 1
0.4%
245.0 1
0.4%
238.0 1
0.4%
235.0 1
0.4%
223.0 1
0.4%
222.0 1
0.4%

철
Categorical

IMBALANCE 

Distinct3
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Memory size2.4 KiB
0.0
282 
0.003
 
2
0.004
 
1

Length

Max length5
Median length3
Mean length3.0210526
Min length3

Unique

Unique1 ?
Unique (%)0.4%

Sample

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

Common Values

ValueCountFrequency (%)
0.0 282
98.9%
0.003 2
 
0.7%
0.004 1
 
0.4%

Length

2024-05-18T05:44:25.688463image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-18T05:44:25.889880image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0.0 282
98.9%
0.003 2
 
0.7%
0.004 1
 
0.4%

망간
Real number (ℝ)

ZEROS 

Distinct9
Distinct (%)3.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.00029824561
Minimum0
Maximum0.015
Zeros270
Zeros (%)94.7%
Negative0
Negative (%)0.0%
Memory size2.6 KiB
2024-05-18T05:44:26.135168image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0.0008
Maximum0.015
Range0.015
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.0014409127
Coefficient of variation (CV)4.8312954
Kurtosis45.82753
Mean0.00029824561
Median Absolute Deviation (MAD)0
Skewness6.1088519
Sum0.085
Variance2.0762293 × 10-6
MonotonicityNot monotonic
2024-05-18T05:44:26.503663image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
0.0 270
94.7%
0.006 4
 
1.4%
0.005 3
 
1.1%
0.004 3
 
1.1%
0.008 1
 
0.4%
0.007 1
 
0.4%
0.003 1
 
0.4%
0.001 1
 
0.4%
0.015 1
 
0.4%
ValueCountFrequency (%)
0.0 270
94.7%
0.001 1
 
0.4%
0.003 1
 
0.4%
0.004 3
 
1.1%
0.005 3
 
1.1%
0.006 4
 
1.4%
0.007 1
 
0.4%
0.008 1
 
0.4%
0.015 1
 
0.4%
ValueCountFrequency (%)
0.015 1
 
0.4%
0.008 1
 
0.4%
0.007 1
 
0.4%
0.006 4
 
1.4%
0.005 3
 
1.1%
0.004 3
 
1.1%
0.003 1
 
0.4%
0.001 1
 
0.4%
0.0 270
94.7%

탁도
Real number (ℝ)

ZEROS 

Distinct15
Distinct (%)5.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.048901754
Minimum0
Maximum0.31
Zeros13
Zeros (%)4.6%
Negative0
Negative (%)0.0%
Memory size2.6 KiB
2024-05-18T05:44:26.860704image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.02
Q10.03
median0.05
Q30.06
95-th percentile0.09
Maximum0.31
Range0.31
Interquartile range (IQR)0.03

Descriptive statistics

Standard deviation0.028244733
Coefficient of variation (CV)0.57758119
Kurtosis24.924757
Mean0.048901754
Median Absolute Deviation (MAD)0.01
Skewness2.9236305
Sum13.937
Variance0.00079776496
MonotonicityNot monotonic
2024-05-18T05:44:27.233871image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=15)
ValueCountFrequency (%)
0.05 54
18.9%
0.04 51
17.9%
0.02 43
15.1%
0.06 39
13.7%
0.07 26
9.1%
0.03 21
 
7.4%
0.08 20
 
7.0%
0.0 13
 
4.6%
0.09 10
 
3.5%
0.13 2
 
0.7%
Other values (5) 6
 
2.1%
ValueCountFrequency (%)
0.0 13
 
4.6%
0.02 43
15.1%
0.03 21
 
7.4%
0.04 51
17.9%
0.047 1
 
0.4%
0.05 54
18.9%
0.06 39
13.7%
0.07 26
9.1%
0.08 20
 
7.0%
0.09 10
 
3.5%
ValueCountFrequency (%)
0.31 1
 
0.4%
0.13 2
 
0.7%
0.12 1
 
0.4%
0.11 1
 
0.4%
0.1 2
 
0.7%
0.09 10
 
3.5%
0.08 20
 
7.0%
0.07 26
9.1%
0.06 39
13.7%
0.05 54
18.9%

황산이온
Real number (ℝ)

ZEROS 

Distinct30
Distinct (%)10.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean12.775439
Minimum0
Maximum53
Zeros15
Zeros (%)5.3%
Negative0
Negative (%)0.0%
Memory size2.6 KiB
2024-05-18T05:44:27.501291image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.4
Q110
median13
Q316
95-th percentile20
Maximum53
Range53
Interquartile range (IQR)6

Descriptive statistics

Standard deviation6.6219939
Coefficient of variation (CV)0.51833789
Kurtosis12.074554
Mean12.775439
Median Absolute Deviation (MAD)3
Skewness2.0377924
Sum3641
Variance43.850803
MonotonicityNot monotonic
2024-05-18T05:44:27.945762image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%)
16 50
17.5%
12 34
11.9%
14 26
 
9.1%
11 23
 
8.1%
13 21
 
7.4%
15 17
 
6.0%
0 15
 
5.3%
9 12
 
4.2%
10 11
 
3.9%
5 11
 
3.9%
Other values (20) 65
22.8%
ValueCountFrequency (%)
0 15
5.3%
2 1
 
0.4%
4 4
 
1.4%
5 11
3.9%
6 9
 
3.2%
7 8
 
2.8%
8 7
 
2.5%
9 12
4.2%
10 11
3.9%
11 23
8.1%
ValueCountFrequency (%)
53 1
0.4%
52 1
0.4%
51 1
0.4%
33 1
0.4%
30 1
0.4%
28 1
0.4%
27 1
0.4%
25 1
0.4%
23 2
0.7%
22 1
0.4%

알루미늄
Real number (ℝ)

ZEROS 

Distinct14
Distinct (%)4.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.020701754
Minimum0
Maximum0.14
Zeros152
Zeros (%)53.3%
Negative0
Negative (%)0.0%
Memory size2.6 KiB
2024-05-18T05:44:28.146314image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30.03
95-th percentile0.08
Maximum0.14
Range0.14
Interquartile range (IQR)0.03

Descriptive statistics

Standard deviation0.027886822
Coefficient of variation (CV)1.3470753
Kurtosis2.4343384
Mean0.020701754
Median Absolute Deviation (MAD)0
Skewness1.5332179
Sum5.9
Variance0.00077767482
MonotonicityNot monotonic
2024-05-18T05:44:28.488189image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
0.0 152
53.3%
0.03 38
 
13.3%
0.04 26
 
9.1%
0.02 24
 
8.4%
0.05 13
 
4.6%
0.06 9
 
3.2%
0.08 7
 
2.5%
0.07 7
 
2.5%
0.12 2
 
0.7%
0.09 2
 
0.7%
Other values (4) 5
 
1.8%
ValueCountFrequency (%)
0.0 152
53.3%
0.02 24
 
8.4%
0.03 38
 
13.3%
0.04 26
 
9.1%
0.05 13
 
4.6%
0.06 9
 
3.2%
0.07 7
 
2.5%
0.08 7
 
2.5%
0.09 2
 
0.7%
0.1 2
 
0.7%
ValueCountFrequency (%)
0.14 1
 
0.4%
0.13 1
 
0.4%
0.12 2
 
0.7%
0.11 1
 
0.4%
0.1 2
 
0.7%
0.09 2
 
0.7%
0.08 7
2.5%
0.07 7
2.5%
0.06 9
3.2%
0.05 13
4.6%

데이터기준일자
Categorical

Distinct30
Distinct (%)10.5%
Missing0
Missing (%)0.0%
Memory size2.4 KiB
2019-05-16
52 
2023-06-09
50 
2019-06-30
35 
2018-01-01
31 
2024-02-22
24 
Other values (25)
93 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique9 ?
Unique (%)3.2%

Sample

1st row2023-06-05
2nd row2023-06-05
3rd row2023-06-05
4th row2019-04-24
5th row2019-04-24

Common Values

ValueCountFrequency (%)
2019-05-16 52
18.2%
2023-06-09 50
17.5%
2019-06-30 35
12.3%
2018-01-01 31
10.9%
2024-02-22 24
8.4%
2023-04-21 12
 
4.2%
2024-02-26 11
 
3.9%
2023-10-04 10
 
3.5%
2024-04-29 9
 
3.2%
2019-04-10 7
 
2.5%
Other values (20) 44
15.4%

Length

2024-05-18T05:44:28.943904image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
2019-05-16 52
18.2%
2023-06-09 50
17.5%
2019-06-30 35
12.3%
2018-01-01 31
10.9%
2024-02-22 24
8.4%
2023-04-21 12
 
4.2%
2024-02-26 11
 
3.9%
2023-10-04 10
 
3.5%
2024-04-29 9
 
3.2%
2019-04-10 7
 
2.5%
Other values (20) 44
15.4%

Sample

정수장명관리기관명관리기관전화번호소재지도로명주소채수일자검사기관명최종판정결과일반세균총대장균군대장균분원성대장균군납불소비소셀레늄수은시안크롬암모니아성질소질산성질소카드뮴보론페놀다이아지논파라티온페니트로티온카바릴1_1_1-트리클로로에탄테트라클로로에틸렌트리클로로에틸렌사염화탄소1_1-디클로로에틸렌디클로로메탄벤젠톨루엔에틸벤젠크실렌1_2-디브로모-3-클로로프로판1_4-다이옥산잔류염소총트리할로메탄클로로포름브로모디클로로메탄디브로모디클로로메탄클로랄하이드레이트디브로모아세토니트릴디클로로아세토니트릴트리클로로아세토니트릴할로아세틱에시드포름알데히드심미적영향물질경도과망간산칼륨소비량냄새맛동색도세제수소이온농도아연염소이온증발잔류물철망간탁도황산이온알루미늄데이터기준일자
0설악정수장가평군청031-580-4438경기도 가평군 설악면 자잠로 84-412023-04-03㈜다솔물환경연구소적합0불검출불검출불검출00.00.00000.00.02.70.00.000000000000.000.000.00.00.00.830.0140.0070.0040.0020.00060.00110.00110.0010.0210.0713.4없음없음0.010.06.50.01717.4123.00.00.00.1370.02023-06-05
1가평통합정수장가평군청031-580-4438경기도 가평군 가평읍 호반로 2463-412023-04-03㈜다솔물환경연구소적합0불검출불검출불검출00.00.00000.00.01.70.00.000000000000.000.000.00.00.00.870.0150.0110.00.00.00070.00080.00120.00120.0410.0390.6없음없음0.05510.06.70.01211.382.00.00.00.0250.02023-06-05
2현리정수장가평군청031-580-4438경기도 가평군 조종면 운악청계로 282023-04-03㈜다솔물환경연구소적합0불검출불검출불검출00.00.00000.00.02.70.00.000000000000.000.000.00.00.00.780.0050.00.00.00.00060.00090.0010.0010.0150.0391.2없음없음0.010.06.20.0279.870.00.00.00.0970.02023-06-05
3고양정수장한국수자원 고양권관리단장031-930-1271경기도 고양시 일산동구 대주로 3262019-03-04한국수자원공사 수도권지역본부적합N불검출불검출불검출00.00.00000.00.02.10.00.000000000000.000.000.00.00.00.640.0120.0080.0040.00.00.00.00.00.00.0751.5없음없음0.000.07.70.018.9146.00.00.00.05140.032019-04-24
4덕소정수장한국수자원 고양권관리단장031-930-1271경기도 남양주시 와부읍 안골로 782019-03-04한국수자원공사 수도권지역본부적합N불검출불검출<NA>00.00.00000.00.02.10.00.0100000000000.000.000.00.00.00.80.00.00.00.00.00090.00.00.00.0030.0761.5없음없음0.000.07.40.020.9143.00.00.00.04150.032019-04-24
5일산정수장한국수자원 고양권관리단장031-930-1310경기도 고양시 덕양구 대주로 1362019-03-04한국수자원공사 수도권지역본부적합N불검출불검출불검출00.00.00000.00.02.20.00.000000000000.000.000.00.00.00.820.0170.0120.0050.00.0010.00.00060.00.0090.0751.7없음없음0.000.07.50.020.1136.00.00.00.05150.032019-04-24
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9노온정수장광명시02-2680-6533경기도 광명시 범안로777-242023-04-03부천시까치울정수장적합0불검출불검출<NA>00.00.00000.00.02.00.00.0100000000000.000.000.00.00.00.990.0170.0110.0060.00.00180.00.0010.00.0090.0841.3없음없음0.000.07.50.00225.1142.00.00.00.06150.082023-10-04
정수장명관리기관명관리기관전화번호소재지도로명주소채수일자검사기관명최종판정결과일반세균총대장균군대장균분원성대장균군납불소비소셀레늄수은시안크롬암모니아성질소질산성질소카드뮴보론페놀다이아지논파라티온페니트로티온카바릴1_1_1-트리클로로에탄테트라클로로에틸렌트리클로로에틸렌사염화탄소1_1-디클로로에틸렌디클로로메탄벤젠톨루엔에틸벤젠크실렌1_2-디브로모-3-클로로프로판1_4-다이옥산잔류염소총트리할로메탄클로로포름브로모디클로로메탄디브로모디클로로메탄클로랄하이드레이트디브로모아세토니트릴디클로로아세토니트릴트리클로로아세토니트릴할로아세틱에시드포름알데히드심미적영향물질경도과망간산칼륨소비량냄새맛동색도세제수소이온농도아연염소이온증발잔류물철망간탁도황산이온알루미늄데이터기준일자
275하남정수장하남시031-790-6442경기도 하남시 검단산로 320(창우동)2019-08-05KOTITI 시험연구원적합N불검출불검출불검출00.00.00000.00.02.00.00.0100000000000.000.000.00.00.00.750.0690.060.0090.00.00650.00110.00330.00.0440.0471.7없음없음0.000.07.00.015.985.00.00.00.0290.022019-09-01
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278수지정수장한국수자원공사031-720-7782경기도 용인시 수지구 만현로 1432024-03-04한강유역관리처적합0불검출불검출불검출00.00.00000.00.02.80.00.000000000000.000.000.00.00.00.940.0060.0060.00.00.00460.00.00.00.0040.0691.1없음없음0.000.07.30.035.5127.00.00.00.07140.02024-04-29
279성남정수장한국수자원공사031-720-7782경기도 성남시 수정구 사송로 972024-03-04한강유역관리처적합0불검출불검출불검출00.00.00000.00.02.80.00.000000000000.000.000.00.00.00.830.0170.0130.0040.00.00290.00.00160.00.0190.0701.0없음없음0.000.07.10.033.3138.00.00.00.09140.022024-04-29
280수지정수장한국수자원공사031-720-7782경기도 용인시 수지구 만현로 1432024-01-10한강유역관리처적합0불검출불검출불검출00.00.00000.00.02.70.00.0100000000000.000.000.00.00.00.770.00.00.00.00.00160.00.00.00.00.0760.7없음없음0.000.06.80.024.1101.00.00.00.04120.02024-04-29
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