Overview

Dataset statistics

Number of variables68
Number of observations9548
Missing cells11955
Missing cells (%)1.8%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory5.5 MiB
Average record size in memory602.0 B

Variable types

Numeric44
Text4
Categorical20

Dataset

Description수도법에 따라 매년 실시하는 계곡수를 사용하는 소규모수도시설의 먹는물 검사 결과 데이터로, 수질검사결과, 수질검사기관 등을 포함* 상세자료조회는 아래 URL을 참고 해주시기 바랍니다.https://www.waternow.go.kr/web/lawData/?pMENUID=4&ATTR_1=2008
Author한국수자원공사
URLhttps://www.data.go.kr/data/15093949/fileData.do

Alerts

수도규모 has constant value ""Constant
수원 has constant value ""Constant
페놀 has constant value ""Constant
파라티온 has constant value ""Constant
페니트로티온 has constant value ""Constant
카바릴 has constant value ""Constant
총대장균군 is highly imbalanced (88.7%)Imbalance
수은 is highly imbalanced (99.7%)Imbalance
시안 is highly imbalanced (99.6%)Imbalance
크롬 is highly imbalanced (98.8%)Imbalance
카드뮴 is highly imbalanced (99.2%)Imbalance
다이아지논 is highly imbalanced (99.4%)Imbalance
1-2-디브로모-3-클로로프로판 is highly imbalanced (97.0%)Imbalance
테트라클로로에틸렌 is highly imbalanced (99.0%)Imbalance
벤젠 is highly imbalanced (99.5%)Imbalance
사염화탄소 is highly imbalanced (99.6%)Imbalance
냄새 is highly imbalanced (99.7%)Imbalance
is highly imbalanced (99.7%)Imbalance
세제 is highly imbalanced (99.5%)Imbalance
대장균_분원성대장균군 is highly imbalanced (96.2%)Imbalance
브롬산염 has 4229 (44.3%) missing valuesMissing
우라늄 has 7696 (80.6%) missing valuesMissing
일반세균 is highly skewed (γ1 = 54.20849986)Skewed
1-1-1-트리클로로에탄 is highly skewed (γ1 = 36.49978899)Skewed
트리클로로에틸렌 is highly skewed (γ1 = 39.45095767)Skewed
톨루엔 is highly skewed (γ1 = 67.39966687)Skewed
크실렌 is highly skewed (γ1 = 31.61556136)Skewed
1-1-디클로로에틸렌 is highly skewed (γ1 = 45.30271159)Skewed
is highly skewed (γ1 = 21.89896535)Skewed
망간 is highly skewed (γ1 = 73.58508049)Skewed
탁도 is highly skewed (γ1 = 33.33376148)Skewed
알루미늄 is highly skewed (γ1 = 72.52245697)Skewed
붕소 is highly skewed (γ1 = 35.63655118)Skewed
디브로모아세토니트릴 is highly skewed (γ1 = 21.17518537)Skewed
디클로로아세토니트릴 is highly skewed (γ1 = 25.97288279)Skewed
포름알데히드 is highly skewed (γ1 = 21.46585092)Skewed
연번 has unique valuesUnique
일반세균 has 7152 (74.9%) zerosZeros
has 9514 (99.6%) zerosZeros
불소 has 7834 (82.0%) zerosZeros
비소 has 9208 (96.4%) zerosZeros
셀레늄 has 9517 (99.7%) zerosZeros
암모니아성질소 has 9158 (95.9%) zerosZeros
질산성질소 has 305 (3.2%) zerosZeros
총트리할로메탄 has 5132 (53.7%) zerosZeros
1-1-1-트리클로로에탄 has 9536 (99.9%) zerosZeros
트리클로로에틸렌 has 9535 (99.9%) zerosZeros
디클로로메탄 has 9358 (98.0%) zerosZeros
톨루엔 has 9090 (95.2%) zerosZeros
에틸벤젠 has 9427 (98.7%) zerosZeros
크실렌 has 9458 (99.1%) zerosZeros
1-1-디클로로에틸렌 has 9490 (99.4%) zerosZeros
과망간산칼륨소비량 has 731 (7.7%) zerosZeros
has 7608 (79.7%) zerosZeros
색도 has 3910 (41.0%) zerosZeros
아연 has 2099 (22.0%) zerosZeros
has 8822 (92.4%) zerosZeros
망간 has 9116 (95.5%) zerosZeros
탁도 has 127 (1.3%) zerosZeros
황산이온 has 872 (9.1%) zerosZeros
알루미늄 has 7671 (80.3%) zerosZeros
잔류염소 has 3407 (35.7%) zerosZeros
붕소 has 8652 (90.6%) zerosZeros
클로로포름 has 5859 (61.4%) zerosZeros
클로랄하이드레이트 has 6695 (70.1%) zerosZeros
디브로모아세토니트릴 has 8331 (87.3%) zerosZeros
디클로로아세토니트릴 has 7530 (78.9%) zerosZeros
트리클로로아세토니트릴 has 9215 (96.5%) zerosZeros
할로아세틱에시드 has 5432 (56.9%) zerosZeros
브로모디클로로메탄 has 7647 (80.1%) zerosZeros
디브로모클로로메탄 has 8471 (88.7%) zerosZeros
1-4-다이옥산 has 9418 (98.6%) zerosZeros
포름알데히드 has 9390 (98.3%) zerosZeros
브롬산염 has 4444 (46.5%) zerosZeros
우라늄 has 1396 (14.6%) zerosZeros

Reproduction

Analysis started2023-12-12 12:23:18.423397
Analysis finished2023-12-12 12:23:20.302275
Duration1.88 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

UNIQUE 

Distinct9548
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4774.5
Minimum1
Maximum9548
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size84.0 KiB
2023-12-12T21:23:20.396573image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile478.35
Q12387.75
median4774.5
Q37161.25
95-th percentile9070.65
Maximum9548
Range9547
Interquartile range (IQR)4773.5

Descriptive statistics

Standard deviation2756.4145
Coefficient of variation (CV)0.57732004
Kurtosis-1.2
Mean4774.5
Median Absolute Deviation (MAD)2387
Skewness0
Sum45586926
Variance7597821
MonotonicityStrictly increasing
2023-12-12T21:23:20.580976image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
< 0.1%
6362 1
 
< 0.1%
6364 1
 
< 0.1%
6365 1
 
< 0.1%
6366 1
 
< 0.1%
6367 1
 
< 0.1%
6368 1
 
< 0.1%
6369 1
 
< 0.1%
6370 1
 
< 0.1%
6371 1
 
< 0.1%
Other values (9538) 9538
99.9%
ValueCountFrequency (%)
1 1
< 0.1%
2 1
< 0.1%
3 1
< 0.1%
4 1
< 0.1%
5 1
< 0.1%
6 1
< 0.1%
7 1
< 0.1%
8 1
< 0.1%
9 1
< 0.1%
10 1
< 0.1%
ValueCountFrequency (%)
9548 1
< 0.1%
9547 1
< 0.1%
9546 1
< 0.1%
9545 1
< 0.1%
9544 1
< 0.1%
9543 1
< 0.1%
9542 1
< 0.1%
9541 1
< 0.1%
9540 1
< 0.1%
9539 1
< 0.1%

검사년도
Real number (ℝ)

Distinct8
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2018.0625
Minimum2015
Maximum2022
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size84.0 KiB
2023-12-12T21:23:20.759205image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2015
5-th percentile2015
Q12016
median2018
Q32020
95-th percentile2022
Maximum2022
Range7
Interquartile range (IQR)4

Descriptive statistics

Standard deviation2.1856745
Coefficient of variation (CV)0.0010830559
Kurtosis-1.0787153
Mean2018.0625
Median Absolute Deviation (MAD)2
Skewness0.18821139
Sum19268461
Variance4.7771731
MonotonicityIncreasing
2023-12-12T21:23:20.926966image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
2015 1527
16.0%
2019 1343
14.1%
2016 1337
14.0%
2018 1328
13.9%
2017 1268
13.3%
2020 1222
12.8%
2022 764
8.0%
2021 759
7.9%
ValueCountFrequency (%)
2015 1527
16.0%
2016 1337
14.0%
2017 1268
13.3%
2018 1328
13.9%
2019 1343
14.1%
2020 1222
12.8%
2021 759
7.9%
2022 764
8.0%
ValueCountFrequency (%)
2022 764
8.0%
2021 759
7.9%
2020 1222
12.8%
2019 1343
14.1%
2018 1328
13.9%
2017 1268
13.3%
2016 1337
14.0%
2015 1527
16.0%

지역
Text

Distinct104
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Memory size74.7 KiB
2023-12-12T21:23:21.378357image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length8
Median length8
Mean length7.6521785
Min length5

Characters and Unicode

Total characters73063
Distinct characters92
Distinct categories2 ?
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 (%)< 0.1%

Sample

1st row부산광역시
2nd row부산광역시
3rd row부산광역시
4th row부산광역시
5th row부산광역시
ValueCountFrequency (%)
강원도 2402
 
12.7%
경상북도 1968
 
10.4%
경상남도 1575
 
8.3%
충청북도 1438
 
7.6%
전라남도 806
 
4.3%
전라북도 565
 
3.0%
정선군 559
 
3.0%
단양군 547
 
2.9%
봉화군 468
 
2.5%
영월군 447
 
2.4%
Other values (101) 8112
43.0%
2023-12-12T21:23:21.865943image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
9392
 
12.9%
9339
 
12.8%
6913
 
9.5%
3971
 
5.4%
3969
 
5.4%
3618
 
5.0%
2855
 
3.9%
2671
 
3.7%
2593
 
3.5%
2532
 
3.5%
Other values (82) 25210
34.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 63724
87.2%
Space Separator 9339
 
12.8%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
9392
14.7%
6913
 
10.8%
3971
 
6.2%
3969
 
6.2%
3618
 
5.7%
2855
 
4.5%
2671
 
4.2%
2593
 
4.1%
2532
 
4.0%
2173
 
3.4%
Other values (81) 23037
36.2%
Space Separator
ValueCountFrequency (%)
9339
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 63724
87.2%
Common 9339
 
12.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
9392
14.7%
6913
 
10.8%
3971
 
6.2%
3969
 
6.2%
3618
 
5.7%
2855
 
4.5%
2671
 
4.2%
2593
 
4.1%
2532
 
4.0%
2173
 
3.4%
Other values (81) 23037
36.2%
Common
ValueCountFrequency (%)
9339
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 63724
87.2%
ASCII 9339
 
12.8%

Most frequent character per block

Hangul
ValueCountFrequency (%)
9392
14.7%
6913
 
10.8%
3971
 
6.2%
3969
 
6.2%
3618
 
5.7%
2855
 
4.5%
2671
 
4.2%
2593
 
4.1%
2532
 
4.0%
2173
 
3.4%
Other values (81) 23037
36.2%
ASCII
ValueCountFrequency (%)
9339
100.0%
Distinct1986
Distinct (%)20.8%
Missing0
Missing (%)0.0%
Memory size74.7 KiB
2023-12-12T21:23:22.195875image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length11
Median length10
Mean length2.931085
Min length1

Characters and Unicode

Total characters27986
Distinct characters458
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique318 ?
Unique (%)3.3%

Sample

1st row녹동
2nd row대룡
3rd row동대
4th row상리
5th row양지
ValueCountFrequency (%)
절골 77
 
0.8%
신기 47
 
0.5%
양지 35
 
0.4%
신촌 27
 
0.3%
새마을 26
 
0.3%
삼산 26
 
0.3%
송정 25
 
0.3%
대흥 24
 
0.2%
큰골 21
 
0.2%
한실 19
 
0.2%
Other values (1997) 9594
96.7%
2023-12-12T21:23:22.625220image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1316
 
4.7%
1017
 
3.6%
) 590
 
2.1%
( 590
 
2.1%
559
 
2.0%
536
 
1.9%
469
 
1.7%
441
 
1.6%
381
 
1.4%
375
 
1.3%
Other values (448) 21712
77.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 25655
91.7%
Decimal Number 717
 
2.6%
Close Punctuation 590
 
2.1%
Open Punctuation 590
 
2.1%
Space Separator 381
 
1.4%
Other Punctuation 35
 
0.1%
Dash Punctuation 10
 
< 0.1%
Math Symbol 6
 
< 0.1%
Uppercase Letter 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
1316
 
5.1%
1017
 
4.0%
559
 
2.2%
536
 
2.1%
469
 
1.8%
441
 
1.7%
375
 
1.5%
372
 
1.5%
360
 
1.4%
328
 
1.3%
Other values (430) 19882
77.5%
Decimal Number
ValueCountFrequency (%)
2 297
41.4%
1 190
26.5%
3 133
18.5%
4 43
 
6.0%
5 32
 
4.5%
6 15
 
2.1%
8 5
 
0.7%
0 2
 
0.3%
Other Punctuation
ValueCountFrequency (%)
· 22
62.9%
, 9
25.7%
/ 3
 
8.6%
. 1
 
2.9%
Close Punctuation
ValueCountFrequency (%)
) 590
100.0%
Open Punctuation
ValueCountFrequency (%)
( 590
100.0%
Space Separator
ValueCountFrequency (%)
381
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 10
100.0%
Math Symbol
ValueCountFrequency (%)
~ 6
100.0%
Uppercase Letter
ValueCountFrequency (%)
B 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 25655
91.7%
Common 2329
 
8.3%
Latin 2
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
1316
 
5.1%
1017
 
4.0%
559
 
2.2%
536
 
2.1%
469
 
1.8%
441
 
1.7%
375
 
1.5%
372
 
1.5%
360
 
1.4%
328
 
1.3%
Other values (430) 19882
77.5%
Common
ValueCountFrequency (%)
) 590
25.3%
( 590
25.3%
381
16.4%
2 297
12.8%
1 190
 
8.2%
3 133
 
5.7%
4 43
 
1.8%
5 32
 
1.4%
· 22
 
0.9%
6 15
 
0.6%
Other values (7) 36
 
1.5%
Latin
ValueCountFrequency (%)
B 2
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 25655
91.7%
ASCII 2309
 
8.3%
None 22
 
0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
1316
 
5.1%
1017
 
4.0%
559
 
2.2%
536
 
2.1%
469
 
1.8%
441
 
1.7%
375
 
1.5%
372
 
1.5%
360
 
1.4%
328
 
1.3%
Other values (430) 19882
77.5%
ASCII
ValueCountFrequency (%)
) 590
25.6%
( 590
25.6%
381
16.5%
2 297
12.9%
1 190
 
8.2%
3 133
 
5.8%
4 43
 
1.9%
5 32
 
1.4%
6 15
 
0.6%
- 10
 
0.4%
Other values (7) 28
 
1.2%
None
ValueCountFrequency (%)
· 22
100.0%
Distinct2106
Distinct (%)22.1%
Missing0
Missing (%)0.0%
Memory size74.7 KiB
2023-12-12T21:23:22.942368image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length34
Median length30
Mean length20.67145
Min length5

Characters and Unicode

Total characters197371
Distinct characters329
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique372 ?
Unique (%)3.9%

Sample

1st row부산광역시 금정구 노포동 산 48-4
2nd row부산광역시 금정구 노포동 산 69-1
3rd row부산광역시 금정구 회동동 산 24-1
4th row부산광역시 북구 만덕2동 106-1
5th row부산광역시 북구 화명동 272-1
ValueCountFrequency (%)
3213
 
6.4%
강원도 2402
 
4.8%
경상북도 1968
 
3.9%
경상남도 1575
 
3.1%
충청북도 1438
 
2.9%
전라남도 806
 
1.6%
전라북도 565
 
1.1%
정선군 559
 
1.1%
단양군 547
 
1.1%
봉화군 468
 
0.9%
Other values (3232) 36796
73.1%
2023-12-12T21:23:23.417319image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
40794
20.7%
9702
 
4.9%
8297
 
4.2%
8222
 
4.2%
7090
 
3.6%
1 6679
 
3.4%
5195
 
2.6%
4932
 
2.5%
4413
 
2.2%
4022
 
2.0%
Other values (319) 98025
49.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 124833
63.2%
Space Separator 40794
 
20.7%
Decimal Number 28232
 
14.3%
Dash Punctuation 3487
 
1.8%
Open Punctuation 11
 
< 0.1%
Close Punctuation 11
 
< 0.1%
Other Punctuation 3
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
9702
 
7.8%
8297
 
6.6%
8222
 
6.6%
7090
 
5.7%
5195
 
4.2%
4932
 
4.0%
4413
 
3.5%
4022
 
3.2%
3402
 
2.7%
2901
 
2.3%
Other values (304) 66657
53.4%
Decimal Number
ValueCountFrequency (%)
1 6679
23.7%
2 3528
12.5%
3 2907
10.3%
4 2499
 
8.9%
5 2404
 
8.5%
6 2356
 
8.3%
0 2028
 
7.2%
8 2020
 
7.2%
9 1906
 
6.8%
7 1905
 
6.7%
Space Separator
ValueCountFrequency (%)
40794
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 3487
100.0%
Open Punctuation
ValueCountFrequency (%)
( 11
100.0%
Close Punctuation
ValueCountFrequency (%)
) 11
100.0%
Other Punctuation
ValueCountFrequency (%)
/ 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 124833
63.2%
Common 72538
36.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
9702
 
7.8%
8297
 
6.6%
8222
 
6.6%
7090
 
5.7%
5195
 
4.2%
4932
 
4.0%
4413
 
3.5%
4022
 
3.2%
3402
 
2.7%
2901
 
2.3%
Other values (304) 66657
53.4%
Common
ValueCountFrequency (%)
40794
56.2%
1 6679
 
9.2%
2 3528
 
4.9%
- 3487
 
4.8%
3 2907
 
4.0%
4 2499
 
3.4%
5 2404
 
3.3%
6 2356
 
3.2%
0 2028
 
2.8%
8 2020
 
2.8%
Other values (5) 3836
 
5.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 124833
63.2%
ASCII 72538
36.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
40794
56.2%
1 6679
 
9.2%
2 3528
 
4.9%
- 3487
 
4.8%
3 2907
 
4.0%
4 2499
 
3.4%
5 2404
 
3.3%
6 2356
 
3.2%
0 2028
 
2.8%
8 2020
 
2.8%
Other values (5) 3836
 
5.3%
Hangul
ValueCountFrequency (%)
9702
 
7.8%
8297
 
6.6%
8222
 
6.6%
7090
 
5.7%
5195
 
4.2%
4932
 
4.0%
4413
 
3.5%
4022
 
3.2%
3402
 
2.7%
2901
 
2.3%
Other values (304) 66657
53.4%

수도규모
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size74.7 KiB
소규모급수시설
9548 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
소규모급수시설 9548
100.0%

Length

2023-12-12T21:23:23.562874image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T21:23:23.659820image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
소규모급수시설 9548
100.0%

수원
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size74.7 KiB
계곡수
9548 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
계곡수 9548
100.0%

Length

2023-12-12T21:23:23.767780image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T21:23:23.862264image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
계곡수 9548
100.0%
Distinct80
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size74.7 KiB
2023-12-12T21:23:24.137068image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length25
Median length20
Mean length9.1928152
Min length2

Characters and Unicode

Total characters87773
Distinct characters147
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique4 ?
Unique (%)< 0.1%

Sample

1st row자체수질검사
2nd row자체수질검사
3rd row자체수질검사
4th row부산시-상수도사업본부
5th row부산시-상수도사업본부
ValueCountFrequency (%)
연세환경 1038
 
9.1%
자체수질검사 970
 
8.5%
제일랩(대구 715
 
6.3%
경북-보건환경연구원 643
 
5.7%
주)기림생명과학원 553
 
4.9%
주)상록엔바이로 392
 
3.5%
전주대학교 355
 
3.1%
주)동진생명연구원 307
 
2.7%
농생명em 297
 
2.6%
환경연구센터 297
 
2.6%
Other values (89) 5793
51.0%
2023-12-12T21:23:24.590767image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5233
 
6.0%
4950
 
5.6%
4462
 
5.1%
4394
 
5.0%
) 4317
 
4.9%
( 4317
 
4.9%
3994
 
4.6%
3768
 
4.3%
2310
 
2.6%
1973
 
2.2%
Other values (137) 48055
54.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 75006
85.5%
Close Punctuation 4317
 
4.9%
Open Punctuation 4317
 
4.9%
Space Separator 1950
 
2.2%
Uppercase Letter 1098
 
1.3%
Dash Punctuation 1067
 
1.2%
Other Punctuation 14
 
< 0.1%
Lowercase Letter 4
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
5233
 
7.0%
4950
 
6.6%
4462
 
5.9%
4394
 
5.9%
3994
 
5.3%
3768
 
5.0%
2310
 
3.1%
1973
 
2.6%
1794
 
2.4%
1650
 
2.2%
Other values (123) 40478
54.0%
Uppercase Letter
ValueCountFrequency (%)
M 297
27.0%
E 297
27.0%
I 168
15.3%
T 168
15.3%
O 84
 
7.7%
K 84
 
7.7%
Lowercase Letter
ValueCountFrequency (%)
i 2
50.0%
f 1
25.0%
t 1
25.0%
Close Punctuation
ValueCountFrequency (%)
) 4317
100.0%
Open Punctuation
ValueCountFrequency (%)
( 4317
100.0%
Space Separator
ValueCountFrequency (%)
1950
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1067
100.0%
Other Punctuation
ValueCountFrequency (%)
. 14
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 75006
85.5%
Common 11665
 
13.3%
Latin 1102
 
1.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
5233
 
7.0%
4950
 
6.6%
4462
 
5.9%
4394
 
5.9%
3994
 
5.3%
3768
 
5.0%
2310
 
3.1%
1973
 
2.6%
1794
 
2.4%
1650
 
2.2%
Other values (123) 40478
54.0%
Latin
ValueCountFrequency (%)
M 297
27.0%
E 297
27.0%
I 168
15.2%
T 168
15.2%
O 84
 
7.6%
K 84
 
7.6%
i 2
 
0.2%
f 1
 
0.1%
t 1
 
0.1%
Common
ValueCountFrequency (%)
) 4317
37.0%
( 4317
37.0%
1950
16.7%
- 1067
 
9.1%
. 14
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 75006
85.5%
ASCII 12767
 
14.5%

Most frequent character per block

Hangul
ValueCountFrequency (%)
5233
 
7.0%
4950
 
6.6%
4462
 
5.9%
4394
 
5.9%
3994
 
5.3%
3768
 
5.0%
2310
 
3.1%
1973
 
2.6%
1794
 
2.4%
1650
 
2.2%
Other values (123) 40478
54.0%
ASCII
ValueCountFrequency (%)
) 4317
33.8%
( 4317
33.8%
1950
15.3%
- 1067
 
8.4%
M 297
 
2.3%
E 297
 
2.3%
I 168
 
1.3%
T 168
 
1.3%
O 84
 
0.7%
K 84
 
0.7%
Other values (4) 18
 
0.1%

일반세균
Real number (ℝ)

SKEWED  ZEROS 

Distinct125
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9.4294093
Minimum0
Maximum7700
Zeros7152
Zeros (%)74.9%
Negative0
Negative (%)0.0%
Memory size84.0 KiB
2023-12-12T21:23:24.789589image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile54
Maximum7700
Range7700
Interquartile range (IQR)1

Descriptive statistics

Standard deviation106.97202
Coefficient of variation (CV)11.344509
Kurtosis3422.4387
Mean9.4294093
Median Absolute Deviation (MAD)0
Skewness54.2085
Sum90032
Variance11443.014
MonotonicityNot monotonic
2023-12-12T21:23:24.967575image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 7152
74.9%
2 191
 
2.0%
1 179
 
1.9%
3 123
 
1.3%
4 105
 
1.1%
5 90
 
0.9%
6 79
 
0.8%
8 63
 
0.7%
12 61
 
0.6%
10 56
 
0.6%
Other values (115) 1449
 
15.2%
ValueCountFrequency (%)
0 7152
74.9%
1 179
 
1.9%
2 191
 
2.0%
3 123
 
1.3%
4 105
 
1.1%
5 90
 
0.9%
6 79
 
0.8%
7 56
 
0.6%
8 63
 
0.7%
9 39
 
0.4%
ValueCountFrequency (%)
7700 1
< 0.1%
5050 1
< 0.1%
3200 1
< 0.1%
2050 1
< 0.1%
1900 1
< 0.1%
1000 1
< 0.1%
910 1
< 0.1%
690 1
< 0.1%
630 1
< 0.1%
400 1
< 0.1%

총대장균군
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size74.7 KiB
불검출
9404 
검출
 
144

Length

Max length3
Median length3
Mean length2.9849183
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
불검출 9404
98.5%
검출 144
 
1.5%

Length

2023-12-12T21:23:25.146472image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T21:23:25.249016image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
불검출 9404
98.5%
검출 144
 
1.5%


Real number (ℝ)

ZEROS 

Distinct9
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.2622539 × 10-5
Minimum0
Maximum0.01
Zeros9514
Zeros (%)99.6%
Negative0
Negative (%)0.0%
Memory size84.0 KiB
2023-12-12T21:23:25.378286image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum0.01
Range0.01
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.00039281191
Coefficient of variation (CV)17.363741
Kurtosis342.14117
Mean2.2622539 × 10-5
Median Absolute Deviation (MAD)0
Skewness18.162958
Sum0.216
Variance1.543012 × 10-7
MonotonicityNot monotonic
2023-12-12T21:23:25.523842image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
0.0 9514
99.6%
0.006 14
 
0.1%
0.007 5
 
0.1%
0.005 5
 
0.1%
0.008 4
 
< 0.1%
0.009 3
 
< 0.1%
0.001 1
 
< 0.1%
0.002 1
 
< 0.1%
0.01 1
 
< 0.1%
ValueCountFrequency (%)
0.0 9514
99.6%
0.001 1
 
< 0.1%
0.002 1
 
< 0.1%
0.005 5
 
0.1%
0.006 14
 
0.1%
0.007 5
 
0.1%
0.008 4
 
< 0.1%
0.009 3
 
< 0.1%
0.01 1
 
< 0.1%
ValueCountFrequency (%)
0.01 1
 
< 0.1%
0.009 3
 
< 0.1%
0.008 4
 
< 0.1%
0.007 5
 
0.1%
0.006 14
 
0.1%
0.005 5
 
0.1%
0.002 1
 
< 0.1%
0.001 1
 
< 0.1%
0.0 9514
99.6%

불소
Real number (ℝ)

ZEROS 

Distinct143
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.064010054
Minimum0
Maximum4.14
Zeros7834
Zeros (%)82.0%
Negative0
Negative (%)0.0%
Memory size84.0 KiB
2023-12-12T21:23:25.721552image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0.37
Maximum4.14
Range4.14
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.19131224
Coefficient of variation (CV)2.9887842
Kurtosis58.540971
Mean0.064010054
Median Absolute Deviation (MAD)0
Skewness5.718479
Sum611.168
Variance0.036600374
MonotonicityNot monotonic
2023-12-12T21:23:25.919445image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 7834
82.0%
0.2 202
 
2.1%
0.16 130
 
1.4%
0.18 83
 
0.9%
0.17 83
 
0.9%
0.15 81
 
0.8%
0.19 68
 
0.7%
0.21 59
 
0.6%
0.3 58
 
0.6%
0.24 54
 
0.6%
Other values (133) 896
 
9.4%
ValueCountFrequency (%)
0.0 7834
82.0%
0.008 1
 
< 0.1%
0.02 3
 
< 0.1%
0.03 2
 
< 0.1%
0.04 1
 
< 0.1%
0.05 3
 
< 0.1%
0.06 6
 
0.1%
0.07 1
 
< 0.1%
0.08 3
 
< 0.1%
0.09 4
 
< 0.1%
ValueCountFrequency (%)
4.14 1
 
< 0.1%
3.51 1
 
< 0.1%
3.2 1
 
< 0.1%
2.5 1
 
< 0.1%
1.91 1
 
< 0.1%
1.85 1
 
< 0.1%
1.58 1
 
< 0.1%
1.48 4
< 0.1%
1.47 1
 
< 0.1%
1.45 1
 
< 0.1%

비소
Real number (ℝ)

ZEROS 

Distinct28
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.00032226644
Minimum0
Maximum0.104
Zeros9208
Zeros (%)96.4%
Negative0
Negative (%)0.0%
Memory size84.0 KiB
2023-12-12T21:23:26.090085image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum0.104
Range0.104
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.0023408466
Coefficient of variation (CV)7.2636995
Kurtosis635.23406
Mean0.00032226644
Median Absolute Deviation (MAD)0
Skewness19.564506
Sum3.077
Variance5.4795628 × 10-6
MonotonicityNot monotonic
2023-12-12T21:23:26.259744image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=28)
ValueCountFrequency (%)
0.0 9208
96.4%
0.006 72
 
0.8%
0.005 57
 
0.6%
0.007 50
 
0.5%
0.008 49
 
0.5%
0.009 42
 
0.4%
0.01 25
 
0.3%
0.014 5
 
0.1%
0.018 5
 
0.1%
0.015 4
 
< 0.1%
Other values (18) 31
 
0.3%
ValueCountFrequency (%)
0.0 9208
96.4%
0.001 2
 
< 0.1%
0.005 57
 
0.6%
0.006 72
 
0.8%
0.007 50
 
0.5%
0.008 49
 
0.5%
0.009 42
 
0.4%
0.01 25
 
0.3%
0.011 3
 
< 0.1%
0.012 4
 
< 0.1%
ValueCountFrequency (%)
0.104 1
< 0.1%
0.078 1
< 0.1%
0.057 1
< 0.1%
0.052 1
< 0.1%
0.046 1
< 0.1%
0.042 1
< 0.1%
0.039 1
< 0.1%
0.028 1
< 0.1%
0.023 1
< 0.1%
0.022 2
< 0.1%

셀레늄
Real number (ℝ)

ZEROS 

Distinct6
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.0527859 × 10-5
Minimum0
Maximum0.01
Zeros9517
Zeros (%)99.7%
Negative0
Negative (%)0.0%
Memory size84.0 KiB
2023-12-12T21:23:26.391279image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum0.01
Range0.01
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.00036729965
Coefficient of variation (CV)17.89274
Kurtosis367.31669
Mean2.0527859 × 10-5
Median Absolute Deviation (MAD)0
Skewness18.716874
Sum0.196
Variance1.3490903 × 10-7
MonotonicityNot monotonic
2023-12-12T21:23:26.527197image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
0.0 9517
99.7%
0.006 14
 
0.1%
0.005 8
 
0.1%
0.007 4
 
< 0.1%
0.008 3
 
< 0.1%
0.01 2
 
< 0.1%
ValueCountFrequency (%)
0.0 9517
99.7%
0.005 8
 
0.1%
0.006 14
 
0.1%
0.007 4
 
< 0.1%
0.008 3
 
< 0.1%
0.01 2
 
< 0.1%
ValueCountFrequency (%)
0.01 2
 
< 0.1%
0.008 3
 
< 0.1%
0.007 4
 
< 0.1%
0.006 14
 
0.1%
0.005 8
 
0.1%
0.0 9517
99.7%

수은
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size74.7 KiB
0.0
9546 
0.001
 
2

Length

Max length5
Median length3
Mean length3.0004189
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 9546
> 99.9%
0.001 2
 
< 0.1%

Length

2023-12-12T21:23:26.694847image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T21:23:26.816826image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0.0 9546
> 99.9%
0.001 2
 
< 0.1%

시안
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size74.7 KiB
0.0
9545 
0.01
 
3

Length

Max length4
Median length3
Mean length3.0003142
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 9545
> 99.9%
0.01 3
 
< 0.1%

Length

2023-12-12T21:23:26.951133image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T21:23:27.067942image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0.0 9545
> 99.9%
0.01 3
 
< 0.1%

크롬
Categorical

IMBALANCE 

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size74.7 KiB
0.0
9529 
0.01
 
10
0.02
 
7
0.03
 
2

Length

Max length4
Median length3
Mean length3.0019899
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 9529
99.8%
0.01 10
 
0.1%
0.02 7
 
0.1%
0.03 2
 
< 0.1%

Length

2023-12-12T21:23:27.202745image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T21:23:27.329088image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0.0 9529
99.8%
0.01 10
 
0.1%
0.02 7
 
0.1%
0.03 2
 
< 0.1%

암모니아성질소
Real number (ℝ)

ZEROS 

Distinct30
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.0018852116
Minimum0
Maximum0.5
Zeros9158
Zeros (%)95.9%
Negative0
Negative (%)0.0%
Memory size84.0 KiB
2023-12-12T21:23:27.453553image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

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

Descriptive statistics

Standard deviation0.014808813
Coefficient of variation (CV)7.8552528
Kurtosis305.06824
Mean0.0018852116
Median Absolute Deviation (MAD)0
Skewness14.688232
Sum18
Variance0.00021930095
MonotonicityNot monotonic
2023-12-12T21:23:27.634474image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%)
0.0 9158
95.9%
0.02 111
 
1.2%
0.01 100
 
1.0%
0.03 35
 
0.4%
0.04 34
 
0.4%
0.07 19
 
0.2%
0.08 13
 
0.1%
0.05 13
 
0.1%
0.06 12
 
0.1%
0.09 7
 
0.1%
Other values (20) 46
 
0.5%
ValueCountFrequency (%)
0.0 9158
95.9%
0.01 100
 
1.0%
0.02 111
 
1.2%
0.03 35
 
0.4%
0.04 34
 
0.4%
0.05 13
 
0.1%
0.06 12
 
0.1%
0.07 19
 
0.2%
0.08 13
 
0.1%
0.09 7
 
0.1%
ValueCountFrequency (%)
0.5 1
< 0.1%
0.4 1
< 0.1%
0.31 1
< 0.1%
0.3 1
< 0.1%
0.26 1
< 0.1%
0.25 1
< 0.1%
0.24 1
< 0.1%
0.23 2
< 0.1%
0.22 1
< 0.1%
0.21 1
< 0.1%

질산성질소
Real number (ℝ)

ZEROS 

Distinct119
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.472434
Minimum0
Maximum31.4
Zeros305
Zeros (%)3.2%
Negative0
Negative (%)0.0%
Memory size84.0 KiB
2023-12-12T21:23:27.827456image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.1
Q10.6
median1
Q31.8
95-th percentile4.6
Maximum31.4
Range31.4
Interquartile range (IQR)1.2

Descriptive statistics

Standard deviation1.6278632
Coefficient of variation (CV)1.1055594
Kurtosis33.129339
Mean1.472434
Median Absolute Deviation (MAD)0.5
Skewness4.0090293
Sum14058.8
Variance2.6499387
MonotonicityNot monotonic
2023-12-12T21:23:27.995678image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.6 586
 
6.1%
0.8 546
 
5.7%
0.4 521
 
5.5%
0.7 517
 
5.4%
1.0 479
 
5.0%
0.5 462
 
4.8%
0.9 461
 
4.8%
1.1 428
 
4.5%
1.2 419
 
4.4%
0.2 415
 
4.3%
Other values (109) 4714
49.4%
ValueCountFrequency (%)
0.0 305
3.2%
0.1 178
 
1.9%
0.2 415
4.3%
0.3 414
4.3%
0.4 521
5.5%
0.5 462
4.8%
0.6 586
6.1%
0.7 517
5.4%
0.8 546
5.7%
0.9 461
4.8%
ValueCountFrequency (%)
31.4 1
< 0.1%
26.6 1
< 0.1%
22.5 1
< 0.1%
18.9 1
< 0.1%
18.3 1
< 0.1%
17.5 1
< 0.1%
16.5 1
< 0.1%
16.3 1
< 0.1%
16.0 1
< 0.1%
14.5 1
< 0.1%

카드뮴
Categorical

IMBALANCE 

Distinct5
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size74.7 KiB
0.0
9534 
0.002
 
7
0.003
 
3
0.004
 
3
0.005
 
1

Length

Max length5
Median length3
Mean length3.0029326
Min length3

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

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

Common Values

ValueCountFrequency (%)
0.0 9534
99.9%
0.002 7
 
0.1%
0.003 3
 
< 0.1%
0.004 3
 
< 0.1%
0.005 1
 
< 0.1%

Length

2023-12-12T21:23:28.176356image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T21:23:28.648813image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0.0 9534
99.9%
0.002 7
 
0.1%
0.003 3
 
< 0.1%
0.004 3
 
< 0.1%
0.005 1
 
< 0.1%

페놀
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size74.7 KiB
0
9548 

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 9548
100.0%

Length

2023-12-12T21:23:28.806446image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T21:23:28.932177image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 9548
100.0%

총트리할로메탄
Real number (ℝ)

ZEROS 

Distinct91
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.0053633222
Minimum0
Maximum0.1
Zeros5132
Zeros (%)53.7%
Negative0
Negative (%)0.0%
Memory size84.0 KiB
2023-12-12T21:23:29.085793image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30.006
95-th percentile0.028
Maximum0.1
Range0.1
Interquartile range (IQR)0.006

Descriptive statistics

Standard deviation0.011145282
Coefficient of variation (CV)2.0780556
Kurtosis15.61244
Mean0.0053633222
Median Absolute Deviation (MAD)0
Skewness3.5088426
Sum51.209
Variance0.00012421731
MonotonicityNot monotonic
2023-12-12T21:23:29.300238image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 5132
53.7%
0.001 511
 
5.4%
0.002 499
 
5.2%
0.004 367
 
3.8%
0.003 363
 
3.8%
0.005 281
 
2.9%
0.006 267
 
2.8%
0.007 204
 
2.1%
0.008 163
 
1.7%
0.01 137
 
1.4%
Other values (81) 1624
 
17.0%
ValueCountFrequency (%)
0.0 5132
53.7%
0.001 511
 
5.4%
0.002 499
 
5.2%
0.003 363
 
3.8%
0.004 367
 
3.8%
0.005 281
 
2.9%
0.006 267
 
2.8%
0.007 204
 
2.1%
0.008 163
 
1.7%
0.009 130
 
1.4%
ValueCountFrequency (%)
0.1 2
< 0.1%
0.098 2
< 0.1%
0.097 1
 
< 0.1%
0.095 1
 
< 0.1%
0.092 1
 
< 0.1%
0.089 1
 
< 0.1%
0.088 2
< 0.1%
0.087 3
< 0.1%
0.084 1
 
< 0.1%
0.082 4
< 0.1%

다이아지논
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size74.7 KiB
0.0
9543 
0.0007
 
5

Length

Max length6
Median length3
Mean length3.001571
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 9543
99.9%
0.0007 5
 
0.1%

Length

2023-12-12T21:23:29.501247image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T21:23:29.637398image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0.0 9543
99.9%
0.0007 5
 
0.1%

파라티온
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size74.7 KiB
0
9548 

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 9548
100.0%

Length

2023-12-12T21:23:29.790365image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T21:23:29.911994image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 9548
100.0%
Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size74.7 KiB
0.0
9490 
0.001
 
42
0.002
 
12
0.003
 
4

Length

Max length5
Median length3
Mean length3.0121491
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 9490
99.4%
0.001 42
 
0.4%
0.002 12
 
0.1%
0.003 4
 
< 0.1%

Length

2023-12-12T21:23:30.067842image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T21:23:30.224564image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0.0 9490
99.4%
0.001 42
 
0.4%
0.002 12
 
0.1%
0.003 4
 
< 0.1%

페니트로티온
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size74.7 KiB
0
9548 

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 9548
100.0%

Length

2023-12-12T21:23:30.378000image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T21:23:30.506146image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 9548
100.0%

카바릴
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size74.7 KiB
0
9548 

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 9548
100.0%

Length

2023-12-12T21:23:30.637331image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T21:23:30.740082image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 9548
100.0%

1-1-1-트리클로로에탄
Real number (ℝ)

SKEWED  ZEROS 

Distinct6
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.0372853 × 10-6
Minimum0
Maximum0.005
Zeros9536
Zeros (%)99.9%
Negative0
Negative (%)0.0%
Memory size84.0 KiB
2023-12-12T21:23:30.855800image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum0.005
Range0.005
Interquartile range (IQR)0

Descriptive statistics

Standard deviation9.4308506 × 10-5
Coefficient of variation (CV)31.050263
Kurtosis1504.0675
Mean3.0372853 × 10-6
Median Absolute Deviation (MAD)0
Skewness36.499789
Sum0.029
Variance8.8940943 × 10-9
MonotonicityNot monotonic
2023-12-12T21:23:31.026922image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
0.0 9536
99.9%
0.002 6
 
0.1%
0.001 2
 
< 0.1%
0.003 2
 
< 0.1%
0.005 1
 
< 0.1%
0.004 1
 
< 0.1%
ValueCountFrequency (%)
0.0 9536
99.9%
0.001 2
 
< 0.1%
0.002 6
 
0.1%
0.003 2
 
< 0.1%
0.004 1
 
< 0.1%
0.005 1
 
< 0.1%
ValueCountFrequency (%)
0.005 1
 
< 0.1%
0.004 1
 
< 0.1%
0.003 2
 
< 0.1%
0.002 6
 
0.1%
0.001 2
 
< 0.1%
0.0 9536
99.9%

테트라클로로에틸렌
Categorical

IMBALANCE 

Distinct5
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size74.7 KiB
0.0
9530 
0.001
 
9
0.002
 
6
0.003
 
2
0.004
 
1

Length

Max length5
Median length3
Mean length3.0037704
Min length3

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

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

Common Values

ValueCountFrequency (%)
0.0 9530
99.8%
0.001 9
 
0.1%
0.002 6
 
0.1%
0.003 2
 
< 0.1%
0.004 1
 
< 0.1%

Length

2023-12-12T21:23:31.213506image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T21:23:31.385519image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0.0 9530
99.8%
0.001 9
 
0.1%
0.002 6
 
0.1%
0.003 2
 
< 0.1%
0.004 1
 
< 0.1%

트리클로로에틸렌
Real number (ℝ)

SKEWED  ZEROS 

Distinct6
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.8278173 × 10-6
Minimum0
Maximum0.005
Zeros9535
Zeros (%)99.9%
Negative0
Negative (%)0.0%
Memory size84.0 KiB
2023-12-12T21:23:31.494716image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum0.005
Range0.005
Interquartile range (IQR)0

Descriptive statistics

Standard deviation8.9762818 × 10-5
Coefficient of variation (CV)31.742792
Kurtosis1763.053
Mean2.8278173 × 10-6
Median Absolute Deviation (MAD)0
Skewness39.450958
Sum0.027
Variance8.0573635 × 10-9
MonotonicityNot monotonic
2023-12-12T21:23:31.661769image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
0.0 9535
99.9%
0.001 6
 
0.1%
0.002 3
 
< 0.1%
0.003 2
 
< 0.1%
0.004 1
 
< 0.1%
0.005 1
 
< 0.1%
ValueCountFrequency (%)
0.0 9535
99.9%
0.001 6
 
0.1%
0.002 3
 
< 0.1%
0.003 2
 
< 0.1%
0.004 1
 
< 0.1%
0.005 1
 
< 0.1%
ValueCountFrequency (%)
0.005 1
 
< 0.1%
0.004 1
 
< 0.1%
0.003 2
 
< 0.1%
0.002 3
 
< 0.1%
0.001 6
 
0.1%
0.0 9535
99.9%

디클로로메탄
Real number (ℝ)

ZEROS 

Distinct16
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.00010735233
Minimum0
Maximum0.019
Zeros9358
Zeros (%)98.0%
Negative0
Negative (%)0.0%
Memory size84.0 KiB
2023-12-12T21:23:31.814007image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum0.019
Range0.019
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.00089929525
Coefficient of variation (CV)8.3770449
Kurtosis133.77508
Mean0.00010735233
Median Absolute Deviation (MAD)0
Skewness10.681489
Sum1.025
Variance8.0873194 × 10-7
MonotonicityNot monotonic
2023-12-12T21:23:31.962688image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
0.0 9358
98.0%
0.003 39
 
0.4%
0.002 34
 
0.4%
0.004 31
 
0.3%
0.005 13
 
0.1%
0.007 13
 
0.1%
0.01 12
 
0.1%
0.006 11
 
0.1%
0.011 11
 
0.1%
0.008 8
 
0.1%
Other values (6) 18
 
0.2%
ValueCountFrequency (%)
0.0 9358
98.0%
0.001 3
 
< 0.1%
0.002 34
 
0.4%
0.003 39
 
0.4%
0.004 31
 
0.3%
0.005 13
 
0.1%
0.006 11
 
0.1%
0.007 13
 
0.1%
0.008 8
 
0.1%
0.009 4
 
< 0.1%
ValueCountFrequency (%)
0.019 2
 
< 0.1%
0.014 1
 
< 0.1%
0.013 2
 
< 0.1%
0.012 6
0.1%
0.011 11
0.1%
0.01 12
0.1%
0.009 4
 
< 0.1%
0.008 8
0.1%
0.007 13
0.1%
0.006 11
0.1%

벤젠
Categorical

IMBALANCE 

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size74.7 KiB
0.0
9542 
0.002
 
5
0.001
 
1

Length

Max length5
Median length3
Mean length3.0012568
Min length3

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

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

Common Values

ValueCountFrequency (%)
0.0 9542
99.9%
0.002 5
 
0.1%
0.001 1
 
< 0.1%

Length

2023-12-12T21:23:32.162946image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T21:23:32.332065image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0.0 9542
99.9%
0.002 5
 
0.1%
0.001 1
 
< 0.1%

톨루엔
Real number (ℝ)

SKEWED  ZEROS 

Distinct17
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.0001627566
Minimum0
Maximum0.22
Zeros9090
Zeros (%)95.2%
Negative0
Negative (%)0.0%
Memory size84.0 KiB
2023-12-12T21:23:32.452391image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum0.22
Range0.22
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.002671872
Coefficient of variation (CV)16.416366
Kurtosis5175.8274
Mean0.0001627566
Median Absolute Deviation (MAD)0
Skewness67.399667
Sum1.554
Variance7.1388998 × 10-6
MonotonicityNot monotonic
2023-12-12T21:23:32.649371image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=17)
ValueCountFrequency (%)
0.0 9090
95.2%
0.002 192
 
2.0%
0.001 103
 
1.1%
0.003 100
 
1.0%
0.004 26
 
0.3%
0.005 8
 
0.1%
0.007 6
 
0.1%
0.015 5
 
0.1%
0.006 5
 
0.1%
0.008 3
 
< 0.1%
Other values (7) 10
 
0.1%
ValueCountFrequency (%)
0.0 9090
95.2%
0.001 103
 
1.1%
0.002 192
 
2.0%
0.003 100
 
1.0%
0.004 26
 
0.3%
0.005 8
 
0.1%
0.006 5
 
0.1%
0.007 6
 
0.1%
0.008 3
 
< 0.1%
0.009 2
 
< 0.1%
ValueCountFrequency (%)
0.22 1
 
< 0.1%
0.116 1
 
< 0.1%
0.038 1
 
< 0.1%
0.018 1
 
< 0.1%
0.015 5
0.1%
0.012 1
 
< 0.1%
0.01 3
< 0.1%
0.009 2
 
< 0.1%
0.008 3
< 0.1%
0.007 6
0.1%

에틸벤젠
Real number (ℝ)

ZEROS 

Distinct6
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.2781734 × 10-5
Minimum0
Maximum0.01
Zeros9427
Zeros (%)98.7%
Negative0
Negative (%)0.0%
Memory size84.0 KiB
2023-12-12T21:23:32.850299image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum0.01
Range0.01
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.00031323906
Coefficient of variation (CV)9.5552925
Kurtosis184.48671
Mean3.2781734 × 10-5
Median Absolute Deviation (MAD)0
Skewness11.632526
Sum0.313
Variance9.8118709 × 10-8
MonotonicityNot monotonic
2023-12-12T21:23:33.004397image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
0.0 9427
98.7%
0.003 71
 
0.7%
0.002 23
 
0.2%
0.001 20
 
0.2%
0.004 6
 
0.1%
0.01 1
 
< 0.1%
ValueCountFrequency (%)
0.0 9427
98.7%
0.001 20
 
0.2%
0.002 23
 
0.2%
0.003 71
 
0.7%
0.004 6
 
0.1%
0.01 1
 
< 0.1%
ValueCountFrequency (%)
0.01 1
 
< 0.1%
0.004 6
 
0.1%
0.003 71
 
0.7%
0.002 23
 
0.2%
0.001 20
 
0.2%
0.0 9427
98.7%

크실렌
Real number (ℝ)

SKEWED  ZEROS 

Distinct17
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.7339757 × 10-5
Minimum0
Maximum0.041
Zeros9458
Zeros (%)99.1%
Negative0
Negative (%)0.0%
Memory size84.0 KiB
2023-12-12T21:23:33.167023image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum0.041
Range0.041
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.00082186283
Coefficient of variation (CV)17.360943
Kurtosis1226.9913
Mean4.7339757 × 10-5
Median Absolute Deviation (MAD)0
Skewness31.615561
Sum0.452
Variance6.7545851 × 10-7
MonotonicityNot monotonic
2023-12-12T21:23:33.336490image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=17)
ValueCountFrequency (%)
0.0 9458
99.1%
0.002 31
 
0.3%
0.003 15
 
0.2%
0.001 13
 
0.1%
0.007 8
 
0.1%
0.004 7
 
0.1%
0.006 3
 
< 0.1%
0.031 2
 
< 0.1%
0.005 2
 
< 0.1%
0.012 2
 
< 0.1%
Other values (7) 7
 
0.1%
ValueCountFrequency (%)
0.0 9458
99.1%
0.001 13
 
0.1%
0.002 31
 
0.3%
0.003 15
 
0.2%
0.004 7
 
0.1%
0.005 2
 
< 0.1%
0.006 3
 
< 0.1%
0.007 8
 
0.1%
0.008 1
 
< 0.1%
0.009 1
 
< 0.1%
ValueCountFrequency (%)
0.041 1
 
< 0.1%
0.031 2
 
< 0.1%
0.023 1
 
< 0.1%
0.021 1
 
< 0.1%
0.019 1
 
< 0.1%
0.013 1
 
< 0.1%
0.012 2
 
< 0.1%
0.009 1
 
< 0.1%
0.008 1
 
< 0.1%
0.007 8
0.1%

1-1-디클로로에틸렌
Real number (ℝ)

SKEWED  ZEROS 

Distinct11
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.8642648 × 10-5
Minimum0
Maximum0.028
Zeros9490
Zeros (%)99.4%
Negative0
Negative (%)0.0%
Memory size84.0 KiB
2023-12-12T21:23:33.456699image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum0.028
Range0.028
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.00039910364
Coefficient of variation (CV)21.408098
Kurtosis2741.3518
Mean1.8642648 × 10-5
Median Absolute Deviation (MAD)0
Skewness45.302712
Sum0.178
Variance1.5928371 × 10-7
MonotonicityNot monotonic
2023-12-12T21:23:33.579008image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
0.0 9490
99.4%
0.001 24
 
0.3%
0.002 14
 
0.1%
0.003 8
 
0.1%
0.004 5
 
0.1%
0.011 2
 
< 0.1%
0.009 1
 
< 0.1%
0.007 1
 
< 0.1%
0.028 1
 
< 0.1%
0.006 1
 
< 0.1%
ValueCountFrequency (%)
0.0 9490
99.4%
0.001 24
 
0.3%
0.002 14
 
0.1%
0.003 8
 
0.1%
0.004 5
 
0.1%
0.006 1
 
< 0.1%
0.007 1
 
< 0.1%
0.009 1
 
< 0.1%
0.01 1
 
< 0.1%
0.011 2
 
< 0.1%
ValueCountFrequency (%)
0.028 1
 
< 0.1%
0.011 2
 
< 0.1%
0.01 1
 
< 0.1%
0.009 1
 
< 0.1%
0.007 1
 
< 0.1%
0.006 1
 
< 0.1%
0.004 5
 
0.1%
0.003 8
 
0.1%
0.002 14
0.1%
0.001 24
0.3%

사염화탄소
Categorical

IMBALANCE 

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size74.7 KiB
0.0
9543 
0.001
 
3
0.002
 
2

Length

Max length5
Median length3
Mean length3.0010473
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 9543
99.9%
0.001 3
 
< 0.1%
0.002 2
 
< 0.1%

Length

2023-12-12T21:23:33.793215image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T21:23:33.980984image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0.0 9543
99.9%
0.001 3
 
< 0.1%
0.002 2
 
< 0.1%

경도
Real number (ℝ)

Distinct329
Distinct (%)3.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean58.442742
Minimum0
Maximum456
Zeros10
Zeros (%)0.1%
Negative0
Negative (%)0.0%
Memory size84.0 KiB
2023-12-12T21:23:34.138178image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile12
Q124
median40
Q377
95-th percentile163
Maximum456
Range456
Interquartile range (IQR)53

Descriptive statistics

Standard deviation50.208125
Coefficient of variation (CV)0.8590994
Kurtosis4.0632573
Mean58.442742
Median Absolute Deviation (MAD)21
Skewness1.8275998
Sum558011.3
Variance2520.8558
MonotonicityNot monotonic
2023-12-12T21:23:34.338882image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
30.0 203
 
2.1%
18.0 197
 
2.1%
20.0 197
 
2.1%
24.0 188
 
2.0%
22.0 184
 
1.9%
27.0 179
 
1.9%
26.0 172
 
1.8%
31.0 169
 
1.8%
17.0 169
 
1.8%
16.0 168
 
1.8%
Other values (319) 7722
80.9%
ValueCountFrequency (%)
0.0 10
 
0.1%
1.0 2
 
< 0.1%
2.0 3
 
< 0.1%
3.0 1
 
< 0.1%
4.0 7
 
0.1%
5.0 22
0.2%
6.0 22
0.2%
7.0 33
0.3%
8.0 47
0.5%
9.0 48
0.5%
ValueCountFrequency (%)
456.0 1
< 0.1%
417.0 1
< 0.1%
400.0 1
< 0.1%
342.0 1
< 0.1%
333.0 1
< 0.1%
330.0 1
< 0.1%
310.0 1
< 0.1%
300.0 1
< 0.1%
299.0 1
< 0.1%
296.0 2
< 0.1%

과망간산칼륨소비량
Real number (ℝ)

ZEROS 

Distinct109
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.6228072
Minimum0
Maximum22.4
Zeros731
Zeros (%)7.7%
Negative0
Negative (%)0.0%
Memory size84.0 KiB
2023-12-12T21:23:34.525429image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10.6
median1.2
Q32.2
95-th percentile4.4
Maximum22.4
Range22.4
Interquartile range (IQR)1.6

Descriptive statistics

Standard deviation1.479848
Coefficient of variation (CV)0.91190623
Kurtosis10.040595
Mean1.6228072
Median Absolute Deviation (MAD)0.7
Skewness2.2389944
Sum15494.564
Variance2.1899502
MonotonicityNot monotonic
2023-12-12T21:23:34.713324image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 731
 
7.7%
0.6 680
 
7.1%
0.9 551
 
5.8%
0.3 503
 
5.3%
1.0 366
 
3.8%
0.8 351
 
3.7%
0.4 343
 
3.6%
1.6 338
 
3.5%
0.7 324
 
3.4%
1.1 320
 
3.4%
Other values (99) 5041
52.8%
ValueCountFrequency (%)
0.0 731
7.7%
0.1 15
 
0.2%
0.2 29
 
0.3%
0.3 503
5.3%
0.4 343
3.6%
0.410389 7
 
0.1%
0.5 270
 
2.8%
0.6 680
7.1%
0.615584 8
 
0.1%
0.7 324
3.4%
ValueCountFrequency (%)
22.4 1
 
< 0.1%
15.5 1
 
< 0.1%
13.9 1
 
< 0.1%
11.5 1
 
< 0.1%
10.0 1
 
< 0.1%
9.9 3
< 0.1%
9.8 6
0.1%
9.5 2
 
< 0.1%
9.4 3
< 0.1%
9.3 3
< 0.1%

냄새
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size74.7 KiB
적합
9546 
부적합
 
2

Length

Max length3
Median length2
Mean length2.0002095
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
적합 9546
> 99.9%
부적합 2
 
< 0.1%

Length

2023-12-12T21:23:34.938592image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T21:23:35.094052image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
적합 9546
> 99.9%
부적합 2
 
< 0.1%


Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size74.7 KiB
적합
9546 
부적합
 
2

Length

Max length3
Median length2
Mean length2.0002095
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
적합 9546
> 99.9%
부적합 2
 
< 0.1%

Length

2023-12-12T21:23:35.228820image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T21:23:35.356328image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
적합 9546
> 99.9%
부적합 2
 
< 0.1%


Real number (ℝ)

SKEWED  ZEROS 

Distinct133
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.0046686217
Minimum0
Maximum1
Zeros7608
Zeros (%)79.7%
Negative0
Negative (%)0.0%
Memory size84.0 KiB
2023-12-12T21:23:35.522587image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0.02
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.027165229
Coefficient of variation (CV)5.8186829
Kurtosis629.51897
Mean0.0046686217
Median Absolute Deviation (MAD)0
Skewness21.898965
Sum44.576
Variance0.00073794967
MonotonicityNot monotonic
2023-12-12T21:23:35.719571image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 7608
79.7%
0.008 167
 
1.7%
0.009 163
 
1.7%
0.01 156
 
1.6%
0.011 122
 
1.3%
0.012 105
 
1.1%
0.005 86
 
0.9%
0.013 86
 
0.9%
0.014 85
 
0.9%
0.004 76
 
0.8%
Other values (123) 894
 
9.4%
ValueCountFrequency (%)
0.0 7608
79.7%
0.001 2
 
< 0.1%
0.002 1
 
< 0.1%
0.003 1
 
< 0.1%
0.004 76
 
0.8%
0.005 86
 
0.9%
0.006 70
 
0.7%
0.007 50
 
0.5%
0.008 167
 
1.7%
0.009 163
 
1.7%
ValueCountFrequency (%)
1.0 2
< 0.1%
0.786 1
< 0.1%
0.721 1
< 0.1%
0.699 1
< 0.1%
0.652 1
< 0.1%
0.52 1
< 0.1%
0.473 1
< 0.1%
0.425 1
< 0.1%
0.423 1
< 0.1%
0.367 1
< 0.1%

색도
Real number (ℝ)

ZEROS 

Distinct15
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.72884374
Minimum0
Maximum25
Zeros3910
Zeros (%)41.0%
Negative0
Negative (%)0.0%
Memory size84.0 KiB
2023-12-12T21:23:35.877923image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q31
95-th percentile2
Maximum25
Range25
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.89754716
Coefficient of variation (CV)1.2314672
Kurtosis90.408195
Mean0.72884374
Median Absolute Deviation (MAD)0
Skewness5.4117741
Sum6959
Variance0.80559091
MonotonicityNot monotonic
2023-12-12T21:23:36.052133image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=15)
ValueCountFrequency (%)
1 5002
52.4%
0 3910
41.0%
3 250
 
2.6%
2 244
 
2.6%
4 66
 
0.7%
5 64
 
0.7%
9 2
 
< 0.1%
6 2
 
< 0.1%
10 2
 
< 0.1%
8 1
 
< 0.1%
Other values (5) 5
 
0.1%
ValueCountFrequency (%)
0 3910
41.0%
1 5002
52.4%
2 244
 
2.6%
3 250
 
2.6%
4 66
 
0.7%
5 64
 
0.7%
6 2
 
< 0.1%
7 1
 
< 0.1%
8 1
 
< 0.1%
9 2
 
< 0.1%
ValueCountFrequency (%)
25 1
 
< 0.1%
19 1
 
< 0.1%
15 1
 
< 0.1%
11 1
 
< 0.1%
10 2
 
< 0.1%
9 2
 
< 0.1%
8 1
 
< 0.1%
7 1
 
< 0.1%
6 2
 
< 0.1%
5 64
0.7%

세제
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size74.7 KiB
0.0
9544 
0.1
 
4

Length

Max length3
Median length3
Mean length3
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 9544
> 99.9%
0.1 4
 
< 0.1%

Length

2023-12-12T21:23:36.223029image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T21:23:36.345675image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0.0 9544
> 99.9%
0.1 4
 
< 0.1%

수소이온농도
Real number (ℝ)

Distinct36
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.3068957
Minimum0
Maximum8.5
Zeros1
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size84.0 KiB
2023-12-12T21:23:36.477114image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile6.5
Q17
median7.3
Q37.7
95-th percentile8.1
Maximum8.5
Range8.5
Interquartile range (IQR)0.7

Descriptive statistics

Standard deviation0.49005413
Coefficient of variation (CV)0.06706735
Kurtosis4.7635245
Mean7.3068957
Median Absolute Deviation (MAD)0.3
Skewness-0.39108416
Sum69766.24
Variance0.24015305
MonotonicityNot monotonic
2023-12-12T21:23:36.654839image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=36)
ValueCountFrequency (%)
7.4 765
 
8.0%
7.2 753
 
7.9%
7.1 730
 
7.6%
7.0 722
 
7.6%
7.3 693
 
7.3%
7.5 646
 
6.8%
7.6 624
 
6.5%
7.7 568
 
5.9%
6.9 567
 
5.9%
7.8 492
 
5.2%
Other values (26) 2988
31.3%
ValueCountFrequency (%)
0.0 1
 
< 0.1%
5.8 10
 
0.1%
5.9 11
 
0.1%
6.0 30
 
0.3%
6.1 32
 
0.3%
6.2 64
 
0.7%
6.3 75
 
0.8%
6.4 133
1.4%
6.5 195
2.0%
6.6 285
3.0%
ValueCountFrequency (%)
8.5 22
 
0.2%
8.4 80
 
0.8%
8.3 128
 
1.3%
8.2 175
 
1.8%
8.1 234
 
2.5%
8.0 307
3.2%
7.9 393
4.1%
7.8 492
5.2%
7.7 568
5.9%
7.6 624
6.5%

아연
Real number (ℝ)

ZEROS 

Distinct319
Distinct (%)3.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.023314554
Minimum0
Maximum2.113
Zeros2099
Zeros (%)22.0%
Negative0
Negative (%)0.0%
Memory size84.0 KiB
2023-12-12T21:23:36.846510image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10.002
median0.008
Q30.02
95-th percentile0.082
Maximum2.113
Range2.113
Interquartile range (IQR)0.018

Descriptive statistics

Standard deviation0.072903293
Coefficient of variation (CV)3.1269435
Kurtosis254.20988
Mean0.023314554
Median Absolute Deviation (MAD)0.008
Skewness12.83989
Sum222.60737
Variance0.0053148902
MonotonicityNot monotonic
2023-12-12T21:23:37.041885image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 2099
22.0%
0.004 476
 
5.0%
0.003 464
 
4.9%
0.005 419
 
4.4%
0.006 402
 
4.2%
0.008 345
 
3.6%
0.007 333
 
3.5%
0.01 326
 
3.4%
0.002 320
 
3.4%
0.009 283
 
3.0%
Other values (309) 4081
42.7%
ValueCountFrequency (%)
0.0 2099
22.0%
0.001 2
 
< 0.1%
0.002 320
 
3.4%
0.003 464
 
4.9%
0.004 476
 
5.0%
0.004826 1
 
< 0.1%
0.005 419
 
4.4%
0.006 402
 
4.2%
0.007 333
 
3.5%
0.008 345
 
3.6%
ValueCountFrequency (%)
2.113 1
< 0.1%
2.042 1
< 0.1%
1.854 1
< 0.1%
1.662 1
< 0.1%
1.338 1
< 0.1%
1.191 1
< 0.1%
0.976 1
< 0.1%
0.925 1
< 0.1%
0.912 1
< 0.1%
0.911 1
< 0.1%

염소이온
Real number (ℝ)

Distinct358
Distinct (%)3.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.9390762
Minimum0
Maximum241.2
Zeros25
Zeros (%)0.3%
Negative0
Negative (%)0.0%
Memory size84.0 KiB
2023-12-12T21:23:37.192736image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1.1
Q12.3
median3.8
Q36.1
95-th percentile18
Maximum241.2
Range241.2
Interquartile range (IQR)3.8

Descriptive statistics

Standard deviation8.6485238
Coefficient of variation (CV)1.4562069
Kurtosis128.3518
Mean5.9390762
Median Absolute Deviation (MAD)1.8
Skewness8.5902029
Sum56706.3
Variance74.796964
MonotonicityNot monotonic
2023-12-12T21:23:37.719024image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2.0 790
 
8.3%
3.0 758
 
7.9%
4.0 514
 
5.4%
5.0 376
 
3.9%
1.0 339
 
3.6%
6.0 238
 
2.5%
7.0 143
 
1.5%
2.2 143
 
1.5%
2.8 141
 
1.5%
2.3 137
 
1.4%
Other values (348) 5969
62.5%
ValueCountFrequency (%)
0.0 25
 
0.3%
0.4 2
 
< 0.1%
0.5 12
 
0.1%
0.6 11
 
0.1%
0.7 11
 
0.1%
0.8 21
 
0.2%
0.9 39
 
0.4%
1.0 339
3.6%
1.1 58
 
0.6%
1.2 56
 
0.6%
ValueCountFrequency (%)
241.2 1
< 0.1%
151.4 1
< 0.1%
145.5 1
< 0.1%
145.2 1
< 0.1%
133.2 1
< 0.1%
131.2 1
< 0.1%
126.0 1
< 0.1%
124.8 1
< 0.1%
124.1 1
< 0.1%
124.0 1
< 0.1%

증발잔류물
Real number (ℝ)

Distinct442
Distinct (%)4.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean103.66017
Minimum0
Maximum930
Zeros20
Zeros (%)0.2%
Negative0
Negative (%)0.0%
Memory size84.0 KiB
2023-12-12T21:23:37.891230image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile25
Q151
median82
Q3139
95-th percentile245
Maximum930
Range930
Interquartile range (IQR)88

Descriptive statistics

Standard deviation74.633664
Coefficient of variation (CV)0.71998401
Kurtosis5.4018114
Mean103.66017
Median Absolute Deviation (MAD)38
Skewness1.7489839
Sum989747.3
Variance5570.1838
MonotonicityNot monotonic
2023-12-12T21:23:38.058753image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
50.0 102
 
1.1%
44.0 95
 
1.0%
54.0 94
 
1.0%
58.0 94
 
1.0%
52.0 93
 
1.0%
62.0 92
 
1.0%
42.0 92
 
1.0%
51.0 89
 
0.9%
47.0 89
 
0.9%
56.0 89
 
0.9%
Other values (432) 8619
90.3%
ValueCountFrequency (%)
0.0 20
0.2%
2.0 1
 
< 0.1%
3.0 2
 
< 0.1%
3.1 1
 
< 0.1%
3.4 1
 
< 0.1%
3.7 1
 
< 0.1%
4.0 1
 
< 0.1%
5.0 5
 
0.1%
5.1 1
 
< 0.1%
5.2 1
 
< 0.1%
ValueCountFrequency (%)
930.0 1
< 0.1%
693.0 1
< 0.1%
658.0 1
< 0.1%
648.0 1
< 0.1%
574.0 1
< 0.1%
535.0 1
< 0.1%
499.0 2
< 0.1%
494.0 1
< 0.1%
490.0 1
< 0.1%
489.0 1
< 0.1%


Real number (ℝ)

ZEROS 

Distinct31
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.0073261416
Minimum0
Maximum0.45
Zeros8822
Zeros (%)92.4%
Negative0
Negative (%)0.0%
Memory size84.0 KiB
2023-12-12T21:23:38.211697image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0.06
Maximum0.45
Range0.45
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.029275023
Coefficient of variation (CV)3.9959674
Kurtosis32.438779
Mean0.0073261416
Median Absolute Deviation (MAD)0
Skewness5.1035944
Sum69.95
Variance0.00085702696
MonotonicityNot monotonic
2023-12-12T21:23:38.359585image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=31)
ValueCountFrequency (%)
0.0 8822
92.4%
0.06 147
 
1.5%
0.05 102
 
1.1%
0.07 81
 
0.8%
0.08 79
 
0.8%
0.09 52
 
0.5%
0.1 37
 
0.4%
0.11 32
 
0.3%
0.12 29
 
0.3%
0.14 28
 
0.3%
Other values (21) 139
 
1.5%
ValueCountFrequency (%)
0.0 8822
92.4%
0.01 2
 
< 0.1%
0.03 1
 
< 0.1%
0.04 1
 
< 0.1%
0.05 102
 
1.1%
0.06 147
 
1.5%
0.07 81
 
0.8%
0.08 79
 
0.8%
0.09 52
 
0.5%
0.1 37
 
0.4%
ValueCountFrequency (%)
0.45 1
 
< 0.1%
0.3 2
 
< 0.1%
0.29 2
 
< 0.1%
0.28 5
0.1%
0.27 3
< 0.1%
0.26 2
 
< 0.1%
0.25 3
< 0.1%
0.24 2
 
< 0.1%
0.23 4
< 0.1%
0.22 7
0.1%

망간
Real number (ℝ)

SKEWED  ZEROS 

Distinct53
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.00089757017
Minimum0
Maximum1.8
Zeros9116
Zeros (%)95.5%
Negative0
Negative (%)0.0%
Memory size84.0 KiB
2023-12-12T21:23:38.524893image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1.8
Range1.8
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.020624415
Coefficient of variation (CV)22.978053
Kurtosis6168.4221
Mean0.00089757017
Median Absolute Deviation (MAD)0
Skewness73.58508
Sum8.57
Variance0.00042536648
MonotonicityNot monotonic
2023-12-12T21:23:38.700024image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 9116
95.5%
0.006 66
 
0.7%
0.005 63
 
0.7%
0.004 61
 
0.6%
0.007 34
 
0.4%
0.008 26
 
0.3%
0.009 22
 
0.2%
0.01 15
 
0.2%
0.012 13
 
0.1%
0.016 12
 
0.1%
Other values (43) 120
 
1.3%
ValueCountFrequency (%)
0.0 9116
95.5%
0.001 1
 
< 0.1%
0.002 1
 
< 0.1%
0.003 2
 
< 0.1%
0.004 61
 
0.6%
0.005 63
 
0.7%
0.006 66
 
0.7%
0.007 34
 
0.4%
0.008 26
 
0.3%
0.009 22
 
0.2%
ValueCountFrequency (%)
1.8 1
< 0.1%
0.616 1
< 0.1%
0.4 1
< 0.1%
0.241 1
< 0.1%
0.219 1
< 0.1%
0.217 1
< 0.1%
0.163 1
< 0.1%
0.086 1
< 0.1%
0.06 1
< 0.1%
0.059 1
< 0.1%

탁도
Real number (ℝ)

SKEWED  ZEROS 

Distinct147
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.24870549
Minimum0
Maximum25
Zeros127
Zeros (%)1.3%
Negative0
Negative (%)0.0%
Memory size84.0 KiB
2023-12-12T21:23:38.842757image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.04
Q10.11
median0.2
Q30.34
95-th percentile0.48
Maximum25
Range25
Interquartile range (IQR)0.23

Descriptive statistics

Standard deviation0.40586978
Coefficient of variation (CV)1.6319293
Kurtosis1681.475
Mean0.24870549
Median Absolute Deviation (MAD)0.11
Skewness33.333761
Sum2374.64
Variance0.16473028
MonotonicityNot monotonic
2023-12-12T21:23:39.014005image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.09 320
 
3.4%
0.11 301
 
3.2%
0.07 294
 
3.1%
0.12 291
 
3.0%
0.14 286
 
3.0%
0.08 286
 
3.0%
0.15 285
 
3.0%
0.1 284
 
3.0%
0.17 276
 
2.9%
0.13 262
 
2.7%
Other values (137) 6663
69.8%
ValueCountFrequency (%)
0.0 127
 
1.3%
0.01 23
 
0.2%
0.02 179
1.9%
0.03 108
 
1.1%
0.04 140
1.5%
0.05 173
1.8%
0.06 255
2.7%
0.07 294
3.1%
0.08 286
3.0%
0.09 320
3.4%
ValueCountFrequency (%)
25.0 1
< 0.1%
12.8 1
< 0.1%
11.2 1
< 0.1%
10.77 1
< 0.1%
7.77 1
< 0.1%
7.58 1
< 0.1%
5.42 1
< 0.1%
5.23 1
< 0.1%
4.98 1
< 0.1%
4.6 1
< 0.1%

황산이온
Real number (ℝ)

ZEROS 

Distinct108
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.4170199
Minimum0
Maximum507
Zeros872
Zeros (%)9.1%
Negative0
Negative (%)0.0%
Memory size84.0 KiB
2023-12-12T21:23:39.197840image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q13
median5
Q38
95-th percentile21
Maximum507
Range507
Interquartile range (IQR)5

Descriptive statistics

Standard deviation11.994078
Coefficient of variation (CV)1.6171021
Kurtosis467.21629
Mean7.4170199
Median Absolute Deviation (MAD)2
Skewness15.657535
Sum70817.706
Variance143.85792
MonotonicityNot monotonic
2023-12-12T21:23:39.365763image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
4.0 1348
14.1%
3.0 1124
11.8%
5.0 1092
11.4%
6.0 951
10.0%
0.0 872
9.1%
2.0 757
7.9%
7.0 641
6.7%
8.0 499
 
5.2%
9.0 373
 
3.9%
10.0 303
 
3.2%
Other values (98) 1588
16.6%
ValueCountFrequency (%)
0.0 872
9.1%
0.002 1
 
< 0.1%
0.004 1
 
< 0.1%
0.9 1
 
< 0.1%
1.0 11
 
0.1%
2.0 757
7.9%
3.0 1124
11.8%
4.0 1348
14.1%
5.0 1092
11.4%
6.0 951
10.0%
ValueCountFrequency (%)
507.0 1
< 0.1%
334.0 1
< 0.1%
302.0 1
< 0.1%
293.0 1
< 0.1%
191.0 1
< 0.1%
162.0 1
< 0.1%
139.0 1
< 0.1%
136.0 1
< 0.1%
131.0 1
< 0.1%
127.0 1
< 0.1%

알루미늄
Real number (ℝ)

SKEWED  ZEROS 

Distinct33
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.01125576
Minimum0
Maximum7
Zeros7671
Zeros (%)80.3%
Negative0
Negative (%)0.0%
Memory size84.0 KiB
2023-12-12T21:23:39.509874image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0.06
Maximum7
Range7
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.079426985
Coefficient of variation (CV)7.0565633
Kurtosis6295.3646
Mean0.01125576
Median Absolute Deviation (MAD)0
Skewness72.522457
Sum107.47
Variance0.006308646
MonotonicityNot monotonic
2023-12-12T21:23:39.684283image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=33)
ValueCountFrequency (%)
0.0 7671
80.3%
0.02 505
 
5.3%
0.03 409
 
4.3%
0.04 230
 
2.4%
0.05 163
 
1.7%
0.06 117
 
1.2%
0.07 76
 
0.8%
0.08 68
 
0.7%
0.1 58
 
0.6%
0.12 41
 
0.4%
Other values (23) 210
 
2.2%
ValueCountFrequency (%)
0.0 7671
80.3%
0.01 8
 
0.1%
0.02 505
 
5.3%
0.03 409
 
4.3%
0.04 230
 
2.4%
0.05 163
 
1.7%
0.06 117
 
1.2%
0.07 76
 
0.8%
0.08 68
 
0.7%
0.09 40
 
0.4%
ValueCountFrequency (%)
7.0 1
< 0.1%
1.49 1
< 0.1%
0.91 1
< 0.1%
0.67 1
< 0.1%
0.58 1
< 0.1%
0.56 1
< 0.1%
0.54 1
< 0.1%
0.46 1
< 0.1%
0.3 1
< 0.1%
0.28 1
< 0.1%

잔류염소
Real number (ℝ)

ZEROS 

Distinct218
Distinct (%)2.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.19703917
Minimum0
Maximum4
Zeros3407
Zeros (%)35.7%
Negative0
Negative (%)0.0%
Memory size84.0 KiB
2023-12-12T21:23:39.859743image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0.12
Q30.23
95-th percentile0.68
Maximum4
Range4
Interquartile range (IQR)0.23

Descriptive statistics

Standard deviation0.35298013
Coefficient of variation (CV)1.7914211
Kurtosis39.648702
Mean0.19703917
Median Absolute Deviation (MAD)0.12
Skewness5.3568325
Sum1881.33
Variance0.12459497
MonotonicityNot monotonic
2023-12-12T21:23:40.030702image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 3407
35.7%
0.1 472
 
4.9%
0.2 423
 
4.4%
0.15 243
 
2.5%
0.3 238
 
2.5%
0.21 236
 
2.5%
0.11 235
 
2.5%
0.16 233
 
2.4%
0.12 200
 
2.1%
0.05 198
 
2.1%
Other values (208) 3663
38.4%
ValueCountFrequency (%)
0.0 3407
35.7%
0.01 2
 
< 0.1%
0.02 3
 
< 0.1%
0.03 8
 
0.1%
0.04 3
 
< 0.1%
0.05 198
 
2.1%
0.06 104
 
1.1%
0.07 90
 
0.9%
0.08 89
 
0.9%
0.09 57
 
0.6%
ValueCountFrequency (%)
4.0 7
0.1%
3.8 4
< 0.1%
3.76 1
 
< 0.1%
3.72 1
 
< 0.1%
3.7 2
 
< 0.1%
3.68 1
 
< 0.1%
3.59 1
 
< 0.1%
3.52 1
 
< 0.1%
3.5 1
 
< 0.1%
3.48 1
 
< 0.1%

붕소
Real number (ℝ)

SKEWED  ZEROS 

Distinct33
Distinct (%)0.3%
Missing30
Missing (%)0.3%
Infinite0
Infinite (%)0.0%
Mean0.0030792183
Minimum0
Maximum1.51
Zeros8652
Zeros (%)90.6%
Negative0
Negative (%)0.0%
Memory size84.0 KiB
2023-12-12T21:23:40.197437image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0.01
Maximum1.51
Range1.51
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.029090581
Coefficient of variation (CV)9.4473913
Kurtosis1626.7482
Mean0.0030792183
Median Absolute Deviation (MAD)0
Skewness35.636551
Sum29.308
Variance0.00084626188
MonotonicityNot monotonic
2023-12-12T21:23:40.336683image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=33)
ValueCountFrequency (%)
0.0 8652
90.6%
0.01 410
 
4.3%
0.02 216
 
2.3%
0.03 83
 
0.9%
0.04 45
 
0.5%
0.05 19
 
0.2%
0.07 14
 
0.1%
0.06 13
 
0.1%
0.08 8
 
0.1%
0.1 5
 
0.1%
Other values (23) 53
 
0.6%
(Missing) 30
 
0.3%
ValueCountFrequency (%)
0.0 8652
90.6%
0.006 1
 
< 0.1%
0.01 410
 
4.3%
0.02 216
 
2.3%
0.022 1
 
< 0.1%
0.03 83
 
0.9%
0.04 45
 
0.5%
0.05 19
 
0.2%
0.06 13
 
0.1%
0.07 14
 
0.1%
ValueCountFrequency (%)
1.51 1
< 0.1%
1.46 1
< 0.1%
1.0 1
< 0.1%
0.77 1
< 0.1%
0.43 1
< 0.1%
0.33 1
< 0.1%
0.32 2
< 0.1%
0.31 1
< 0.1%
0.27 1
< 0.1%
0.24 2
< 0.1%

클로로포름
Real number (ℝ)

ZEROS 

Distinct80
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.0040139401
Minimum0
Maximum0.08
Zeros5859
Zeros (%)61.4%
Negative0
Negative (%)0.0%
Memory size84.0 KiB
2023-12-12T21:23:40.489039image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30.004
95-th percentile0.023
Maximum0.08
Range0.08
Interquartile range (IQR)0.004

Descriptive statistics

Standard deviation0.0091218005
Coefficient of variation (CV)2.2725303
Kurtosis17.398863
Mean0.0040139401
Median Absolute Deviation (MAD)0
Skewness3.729812
Sum38.3251
Variance8.3207244 × 10-5
MonotonicityNot monotonic
2023-12-12T21:23:40.662494image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 5859
61.4%
0.002 463
 
4.8%
0.001 423
 
4.4%
0.003 371
 
3.9%
0.004 305
 
3.2%
0.005 251
 
2.6%
0.006 186
 
1.9%
0.007 161
 
1.7%
0.008 138
 
1.4%
0.009 115
 
1.2%
Other values (70) 1276
 
13.4%
ValueCountFrequency (%)
0.0 5859
61.4%
0.0005 1
 
< 0.1%
0.001 423
 
4.4%
0.002 463
 
4.8%
0.003 371
 
3.9%
0.0036 1
 
< 0.1%
0.004 305
 
3.2%
0.005 251
 
2.6%
0.006 186
 
1.9%
0.007 161
 
1.7%
ValueCountFrequency (%)
0.08 2
< 0.1%
0.079 1
 
< 0.1%
0.077 1
 
< 0.1%
0.076 4
< 0.1%
0.075 3
< 0.1%
0.074 1
 
< 0.1%
0.073 2
< 0.1%
0.072 2
< 0.1%
0.07 2
< 0.1%
0.069 2
< 0.1%

대장균_분원성대장균군
Categorical

IMBALANCE 

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size74.7 KiB
불검출
9485 
검출
 
59
<NA>
 
4

Length

Max length4
Median length3
Mean length2.9942396
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
불검출 9485
99.3%
검출 59
 
0.6%
<NA> 4
 
< 0.1%

Length

2023-12-12T21:23:40.824838image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T21:23:40.967556image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
불검출 9485
99.3%
검출 59
 
0.6%
na 4
 
< 0.1%

클로랄하이드레이트
Real number (ℝ)

ZEROS 

Distinct195
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.00088888773
Minimum0
Maximum0.0286
Zeros6695
Zeros (%)70.1%
Negative0
Negative (%)0.0%
Memory size84.0 KiB
2023-12-12T21:23:41.125256image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30.0008
95-th percentile0.0046
Maximum0.0286
Range0.0286
Interquartile range (IQR)0.0008

Descriptive statistics

Standard deviation0.0025231516
Coefficient of variation (CV)2.8385493
Kurtosis40.028517
Mean0.00088888773
Median Absolute Deviation (MAD)0
Skewness5.5718252
Sum8.4871
Variance6.3662942 × 10-6
MonotonicityNot monotonic
2023-12-12T21:23:41.297168image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 6695
70.1%
0.0006 171
 
1.8%
0.0007 155
 
1.6%
0.001 137
 
1.4%
0.0009 134
 
1.4%
0.0008 133
 
1.4%
0.0012 121
 
1.3%
0.0011 120
 
1.3%
0.0015 97
 
1.0%
0.0013 97
 
1.0%
Other values (185) 1688
 
17.7%
ValueCountFrequency (%)
0.0 6695
70.1%
0.0001 2
 
< 0.1%
0.0003 2
 
< 0.1%
0.0004 1
 
< 0.1%
0.0005 91
 
1.0%
0.0006 171
 
1.8%
0.0007 155
 
1.6%
0.0008 133
 
1.4%
0.0009 134
 
1.4%
0.001 137
 
1.4%
ValueCountFrequency (%)
0.0286 1
 
< 0.1%
0.0283 1
 
< 0.1%
0.0282 2
< 0.1%
0.0275 1
 
< 0.1%
0.027 3
< 0.1%
0.0267 1
 
< 0.1%
0.0264 1
 
< 0.1%
0.026 1
 
< 0.1%
0.0256 1
 
< 0.1%
0.0255 1
 
< 0.1%

디브로모아세토니트릴
Real number (ℝ)

SKEWED  ZEROS 

Distinct96
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.00024625052
Minimum0
Maximum0.064
Zeros8331
Zeros (%)87.3%
Negative0
Negative (%)0.0%
Memory size84.0 KiB
2023-12-12T21:23:41.501673image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0.0013
Maximum0.064
Range0.064
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.0014564174
Coefficient of variation (CV)5.914373
Kurtosis660.12173
Mean0.00024625052
Median Absolute Deviation (MAD)0
Skewness21.175185
Sum2.3512
Variance2.1211518 × 10-6
MonotonicityNot monotonic
2023-12-12T21:23:41.699388image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 8331
87.3%
0.0006 141
 
1.5%
0.0005 97
 
1.0%
0.0007 88
 
0.9%
0.0009 82
 
0.9%
0.0008 80
 
0.8%
0.0013 80
 
0.8%
0.001 75
 
0.8%
0.0012 65
 
0.7%
0.0011 58
 
0.6%
Other values (86) 451
 
4.7%
ValueCountFrequency (%)
0.0 8331
87.3%
0.0002 1
 
< 0.1%
0.0005 97
 
1.0%
0.0006 141
 
1.5%
0.0007 88
 
0.9%
0.0008 80
 
0.8%
0.0009 82
 
0.9%
0.001 75
 
0.8%
0.0011 58
 
0.6%
0.0012 65
 
0.7%
ValueCountFrequency (%)
0.064 1
< 0.1%
0.0453 1
< 0.1%
0.04 1
< 0.1%
0.037 1
< 0.1%
0.0337 1
< 0.1%
0.0282 1
< 0.1%
0.0235 1
< 0.1%
0.022 1
< 0.1%
0.0198 1
< 0.1%
0.0191 1
< 0.1%

디클로로아세토니트릴
Real number (ℝ)

SKEWED  ZEROS 

Distinct92
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.00036520737
Minimum0
Maximum0.0712
Zeros7530
Zeros (%)78.9%
Negative0
Negative (%)0.0%
Memory size84.0 KiB
2023-12-12T21:23:41.881109image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0.0019
Maximum0.0712
Range0.0712
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.0016523578
Coefficient of variation (CV)4.524437
Kurtosis976.50091
Mean0.00036520737
Median Absolute Deviation (MAD)0
Skewness25.972883
Sum3.487
Variance2.7302862 × 10-6
MonotonicityNot monotonic
2023-12-12T21:23:42.063378image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 7530
78.9%
0.0006 259
 
2.7%
0.0008 183
 
1.9%
0.0007 177
 
1.9%
0.0011 113
 
1.2%
0.001 107
 
1.1%
0.0009 101
 
1.1%
0.0005 98
 
1.0%
0.0014 97
 
1.0%
0.0012 96
 
1.0%
Other values (82) 787
 
8.2%
ValueCountFrequency (%)
0.0 7530
78.9%
0.0003 1
 
< 0.1%
0.0005 98
 
1.0%
0.0006 259
 
2.7%
0.0007 177
 
1.9%
0.0008 183
 
1.9%
0.0009 101
 
1.1%
0.001 107
 
1.1%
0.0011 113
 
1.2%
0.0012 96
 
1.0%
ValueCountFrequency (%)
0.0712 1
< 0.1%
0.0684 1
< 0.1%
0.0657 1
< 0.1%
0.0434 1
< 0.1%
0.026 1
< 0.1%
0.0213 1
< 0.1%
0.0198 1
< 0.1%
0.0188 1
< 0.1%
0.0182 1
< 0.1%
0.018 1
< 0.1%

트리클로로아세토니트릴
Real number (ℝ)

ZEROS 

Distinct33
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.4312945 × 10-5
Minimum0
Maximum0.0038
Zeros9215
Zeros (%)96.5%
Negative0
Negative (%)0.0%
Memory size84.0 KiB
2023-12-12T21:23:42.223531image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum0.0038
Range0.0038
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.00026574661
Coefficient of variation (CV)5.9970425
Kurtosis64.795888
Mean4.4312945 × 10-5
Median Absolute Deviation (MAD)0
Skewness7.4588437
Sum0.4231
Variance7.0621262 × 10-8
MonotonicityNot monotonic
2023-12-12T21:23:42.407945image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=33)
ValueCountFrequency (%)
0.0 9215
96.5%
0.0009 77
 
0.8%
0.0008 33
 
0.3%
0.0006 28
 
0.3%
0.0007 20
 
0.2%
0.001 19
 
0.2%
0.0013 18
 
0.2%
0.0016 15
 
0.2%
0.0014 12
 
0.1%
0.0011 12
 
0.1%
Other values (23) 99
 
1.0%
ValueCountFrequency (%)
0.0 9215
96.5%
0.0005 9
 
0.1%
0.0006 28
 
0.3%
0.0007 20
 
0.2%
0.0008 33
 
0.3%
0.0009 77
 
0.8%
0.001 19
 
0.2%
0.0011 12
 
0.1%
0.0012 10
 
0.1%
0.0013 18
 
0.2%
ValueCountFrequency (%)
0.0038 1
 
< 0.1%
0.0037 1
 
< 0.1%
0.0036 1
 
< 0.1%
0.0035 2
 
< 0.1%
0.0032 1
 
< 0.1%
0.0031 1
 
< 0.1%
0.003 5
0.1%
0.0029 4
< 0.1%
0.0028 3
< 0.1%
0.0027 3
< 0.1%

할로아세틱에시드
Real number (ℝ)

ZEROS 

Distinct95
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.0046714495
Minimum0
Maximum0.099
Zeros5432
Zeros (%)56.9%
Negative0
Negative (%)0.0%
Memory size84.0 KiB
2023-12-12T21:23:42.574442image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30.004
95-th percentile0.024
Maximum0.099
Range0.099
Interquartile range (IQR)0.004

Descriptive statistics

Standard deviation0.010746351
Coefficient of variation (CV)2.3004318
Kurtosis19.60943
Mean0.0046714495
Median Absolute Deviation (MAD)0
Skewness3.9924738
Sum44.603
Variance0.00011548406
MonotonicityNot monotonic
2023-12-12T21:23:43.100439image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 5432
56.9%
0.002 546
 
5.7%
0.001 513
 
5.4%
0.003 434
 
4.5%
0.004 330
 
3.5%
0.005 244
 
2.6%
0.006 217
 
2.3%
0.007 175
 
1.8%
0.008 145
 
1.5%
0.009 131
 
1.4%
Other values (85) 1381
 
14.5%
ValueCountFrequency (%)
0.0 5432
56.9%
0.001 513
 
5.4%
0.002 546
 
5.7%
0.003 434
 
4.5%
0.004 330
 
3.5%
0.005 244
 
2.6%
0.006 217
 
2.3%
0.007 175
 
1.8%
0.008 145
 
1.5%
0.009 131
 
1.4%
ValueCountFrequency (%)
0.099 1
 
< 0.1%
0.098 1
 
< 0.1%
0.095 1
 
< 0.1%
0.094 1
 
< 0.1%
0.093 3
< 0.1%
0.09 1
 
< 0.1%
0.089 2
< 0.1%
0.088 2
< 0.1%
0.087 1
 
< 0.1%
0.086 1
 
< 0.1%

브로모디클로로메탄
Real number (ℝ)

ZEROS 

Distinct25
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.00071407625
Minimum0
Maximum0.03
Zeros7647
Zeros (%)80.1%
Negative0
Negative (%)0.0%
Memory size84.0 KiB
2023-12-12T21:23:43.272858image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0.005
Maximum0.03
Range0.03
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.0019214552
Coefficient of variation (CV)2.6908263
Kurtosis28.798635
Mean0.00071407625
Median Absolute Deviation (MAD)0
Skewness4.3125989
Sum6.818
Variance3.69199 × 10-6
MonotonicityNot monotonic
2023-12-12T21:23:43.434883image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%)
0.0 7647
80.1%
0.001 423
 
4.4%
0.002 412
 
4.3%
0.003 312
 
3.3%
0.004 266
 
2.8%
0.005 152
 
1.6%
0.006 115
 
1.2%
0.007 61
 
0.6%
0.008 46
 
0.5%
0.009 43
 
0.5%
Other values (15) 71
 
0.7%
ValueCountFrequency (%)
0.0 7647
80.1%
0.001 423
 
4.4%
0.002 412
 
4.3%
0.003 312
 
3.3%
0.004 266
 
2.8%
0.005 152
 
1.6%
0.006 115
 
1.2%
0.007 61
 
0.6%
0.008 46
 
0.5%
0.009 43
 
0.5%
ValueCountFrequency (%)
0.03 1
 
< 0.1%
0.026 1
 
< 0.1%
0.025 1
 
< 0.1%
0.024 1
 
< 0.1%
0.021 1
 
< 0.1%
0.019 1
 
< 0.1%
0.018 3
< 0.1%
0.017 2
< 0.1%
0.016 3
< 0.1%
0.015 4
< 0.1%

디브로모클로로메탄
Real number (ℝ)

ZEROS 

Distinct17
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.00027620444
Minimum0
Maximum0.03
Zeros8471
Zeros (%)88.7%
Negative0
Negative (%)0.0%
Memory size84.0 KiB
2023-12-12T21:23:43.576222image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0.002
Maximum0.03
Range0.03
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.0010232161
Coefficient of variation (CV)3.7045606
Kurtosis113.98266
Mean0.00027620444
Median Absolute Deviation (MAD)0
Skewness7.5307093
Sum2.6372
Variance1.0469712 × 10-6
MonotonicityNot monotonic
2023-12-12T21:23:43.702510image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=17)
ValueCountFrequency (%)
0.0 8471
88.7%
0.002 360
 
3.8%
0.001 355
 
3.7%
0.003 185
 
1.9%
0.004 80
 
0.8%
0.005 37
 
0.4%
0.006 22
 
0.2%
0.01 9
 
0.1%
0.007 9
 
0.1%
0.008 6
 
0.1%
Other values (7) 14
 
0.1%
ValueCountFrequency (%)
0.0 8471
88.7%
0.001 355
 
3.7%
0.002 360
 
3.8%
0.0022 1
 
< 0.1%
0.003 185
 
1.9%
0.004 80
 
0.8%
0.005 37
 
0.4%
0.006 22
 
0.2%
0.007 9
 
0.1%
0.008 6
 
0.1%
ValueCountFrequency (%)
0.03 1
 
< 0.1%
0.018 1
 
< 0.1%
0.013 2
 
< 0.1%
0.012 2
 
< 0.1%
0.011 3
 
< 0.1%
0.01 9
0.1%
0.009 4
 
< 0.1%
0.008 6
 
0.1%
0.007 9
0.1%
0.006 22
0.2%

1-4-다이옥산
Real number (ℝ)

ZEROS 

Distinct8
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.3829074 × 10-5
Minimum0
Maximum0.008
Zeros9418
Zeros (%)98.6%
Negative0
Negative (%)0.0%
Memory size84.0 KiB
2023-12-12T21:23:43.839911image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

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

Descriptive statistics

Standard deviation0.0003341643
Coefficient of variation (CV)9.8780209
Kurtosis176.71961
Mean3.3829074 × 10-5
Median Absolute Deviation (MAD)0
Skewness12.293146
Sum0.323
Variance1.1166578 × 10-7
MonotonicityNot monotonic
2023-12-12T21:23:43.985236image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
0.0 9418
98.6%
0.002 46
 
0.5%
0.001 37
 
0.4%
0.004 22
 
0.2%
0.003 13
 
0.1%
0.005 9
 
0.1%
0.007 2
 
< 0.1%
0.008 1
 
< 0.1%
ValueCountFrequency (%)
0.0 9418
98.6%
0.001 37
 
0.4%
0.002 46
 
0.5%
0.003 13
 
0.1%
0.004 22
 
0.2%
0.005 9
 
0.1%
0.007 2
 
< 0.1%
0.008 1
 
< 0.1%
ValueCountFrequency (%)
0.008 1
 
< 0.1%
0.007 2
 
< 0.1%
0.005 9
 
0.1%
0.004 22
 
0.2%
0.003 13
 
0.1%
0.002 46
 
0.5%
0.001 37
 
0.4%
0.0 9418
98.6%

포름알데히드
Real number (ℝ)

SKEWED  ZEROS 

Distinct21
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.00062509426
Minimum0
Maximum0.32
Zeros9390
Zeros (%)98.3%
Negative0
Negative (%)0.0%
Memory size84.0 KiB
2023-12-12T21:23:44.129013image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum0.32
Range0.32
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.0068462698
Coefficient of variation (CV)10.95238
Kurtosis697.48188
Mean0.00062509426
Median Absolute Deviation (MAD)0
Skewness21.465851
Sum5.9684
Variance4.687141 × 10-5
MonotonicityNot monotonic
2023-12-12T21:23:44.303429image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
0.0 9390
98.3%
0.02 48
 
0.5%
0.03 37
 
0.4%
0.04 18
 
0.2%
0.01 14
 
0.1%
0.05 9
 
0.1%
0.06 6
 
0.1%
0.1 5
 
0.1%
0.001 4
 
< 0.1%
0.07 4
 
< 0.1%
Other values (11) 13
 
0.1%
ValueCountFrequency (%)
0.0 9390
98.3%
0.0004 1
 
< 0.1%
0.001 4
 
< 0.1%
0.002 2
 
< 0.1%
0.01 14
 
0.1%
0.02 48
 
0.5%
0.03 37
 
0.4%
0.04 18
 
0.2%
0.05 9
 
0.1%
0.06 6
 
0.1%
ValueCountFrequency (%)
0.32 1
 
< 0.1%
0.2 1
 
< 0.1%
0.16 1
 
< 0.1%
0.15 1
 
< 0.1%
0.13 1
 
< 0.1%
0.12 1
 
< 0.1%
0.11 1
 
< 0.1%
0.1 5
0.1%
0.09 1
 
< 0.1%
0.08 2
 
< 0.1%

브롬산염
Real number (ℝ)

MISSING  ZEROS 

Distinct71
Distinct (%)1.3%
Missing4229
Missing (%)44.3%
Infinite0
Infinite (%)0.0%
Mean0.00028274112
Minimum0
Maximum0.0268
Zeros4444
Zeros (%)46.5%
Negative0
Negative (%)0.0%
Memory size84.0 KiB
2023-12-12T21:23:44.488284image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0.0018
Maximum0.0268
Range0.0268
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.00096604983
Coefficient of variation (CV)3.4167292
Kurtosis166.13651
Mean0.00028274112
Median Absolute Deviation (MAD)0
Skewness9.3186326
Sum1.5039
Variance9.3325228 × 10-7
MonotonicityNot monotonic
2023-12-12T21:23:44.660007image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 4444
46.5%
0.001 113
 
1.2%
0.0006 75
 
0.8%
0.0007 56
 
0.6%
0.0008 55
 
0.6%
0.0005 50
 
0.5%
0.0009 47
 
0.5%
0.0011 44
 
0.5%
0.0013 32
 
0.3%
0.0012 31
 
0.3%
Other values (61) 372
 
3.9%
(Missing) 4229
44.3%
ValueCountFrequency (%)
0.0 4444
46.5%
0.0001 2
 
< 0.1%
0.0003 1
 
< 0.1%
0.0005 50
 
0.5%
0.0006 75
 
0.8%
0.0007 56
 
0.6%
0.0008 55
 
0.6%
0.0009 47
 
0.5%
0.001 113
 
1.2%
0.0011 44
 
0.5%
ValueCountFrequency (%)
0.0268 1
< 0.1%
0.0182 1
< 0.1%
0.0168 1
< 0.1%
0.0138 1
< 0.1%
0.0097 1
< 0.1%
0.0096 1
< 0.1%
0.0094 1
< 0.1%
0.0085 1
< 0.1%
0.0084 1
< 0.1%
0.0082 1
< 0.1%

우라늄
Real number (ℝ)

MISSING  ZEROS 

Distinct65
Distinct (%)3.5%
Missing7696
Missing (%)80.6%
Infinite0
Infinite (%)0.0%
Mean0.34778618
Minimum0
Maximum33.2
Zeros1396
Zeros (%)14.6%
Negative0
Negative (%)0.0%
Memory size84.0 KiB
2023-12-12T21:23:44.842341image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1.6
Maximum33.2
Range33.2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.6296949
Coefficient of variation (CV)4.6859105
Kurtosis162.85811
Mean0.34778618
Median Absolute Deviation (MAD)0
Skewness11.102407
Sum644.1
Variance2.6559054
MonotonicityNot monotonic
2023-12-12T21:23:45.002229image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 1396
 
14.6%
0.2 72
 
0.8%
0.1 62
 
0.6%
0.3 47
 
0.5%
0.6 42
 
0.4%
0.4 24
 
0.3%
0.5 20
 
0.2%
0.8 20
 
0.2%
0.7 18
 
0.2%
1.2 13
 
0.1%
Other values (55) 138
 
1.4%
(Missing) 7696
80.6%
ValueCountFrequency (%)
0.0 1396
14.6%
0.1 62
 
0.6%
0.2 72
 
0.8%
0.3 47
 
0.5%
0.4 24
 
0.3%
0.5 20
 
0.2%
0.6 42
 
0.4%
0.7 18
 
0.2%
0.8 20
 
0.2%
0.9 9
 
0.1%
ValueCountFrequency (%)
33.2 1
< 0.1%
24.6 1
< 0.1%
22.0 1
< 0.1%
21.4 1
< 0.1%
17.6 1
< 0.1%
14.6 1
< 0.1%
12.9 1
< 0.1%
11.6 1
< 0.1%
11.2 1
< 0.1%
10.8 1
< 0.1%

Sample

연번검사년도지역시설명시설주소수도규모수원수질검사기관일반세균총대장균군불소비소셀레늄수은시안크롬암모니아성질소질산성질소카드뮴페놀총트리할로메탄다이아지논파라티온1-2-디브로모-3-클로로프로판페니트로티온카바릴1-1-1-트리클로로에탄테트라클로로에틸렌트리클로로에틸렌디클로로메탄벤젠톨루엔에틸벤젠크실렌1-1-디클로로에틸렌사염화탄소경도과망간산칼륨소비량냄새색도세제수소이온농도아연염소이온증발잔류물망간탁도황산이온알루미늄잔류염소붕소클로로포름대장균_분원성대장균군클로랄하이드레이트디브로모아세토니트릴디클로로아세토니트릴트리클로로아세토니트릴할로아세틱에시드브로모디클로로메탄디브로모클로로메탄1-4-다이옥산포름알데히드브롬산염우라늄
012015부산광역시녹동부산광역시 금정구 노포동 산 48-4소규모급수시설계곡수자체수질검사0불검출0.00.00.00.00.00.00.00.05.40.000.0020.000.0000.00.00.00.00.00.00.00.00.00.066.01.2적합적합0.03210.06.20.0310.0169.00.00.00.1210.00.00.80.00.0불검출0.00050.00090.00.00.00.0010.0010.00.0<NA><NA>
122015부산광역시대룡부산광역시 금정구 노포동 산 69-1소규모급수시설계곡수자체수질검사0불검출0.00.00.00.00.00.00.00.021.40.000.0110.000.0000.00.00.00.00.00.00.00.00.00.026.00.5적합적합0.00910.06.30.0130.073.00.00.0050.14.00.00.00.00.007불검출0.00080.00080.00.00.0050.0030.0010.00.0<NA><NA>
232015부산광역시동대부산광역시 금정구 회동동 산 24-1소규모급수시설계곡수자체수질검사0불검출0.00.00.00.00.00.00.00.01.70.000.0030.000.0000.00.00.00.00.00.00.00.00.00.052.00.7적합적합0.02210.06.30.0390.0117.00.00.00.313.00.030.150.00.0불검출0.00070.00050.00.00.00.0010.0010.00.0<NA><NA>
342015부산광역시상리부산광역시 북구 만덕2동 106-1소규모급수시설계곡수부산시-상수도사업본부0불검출0.00.00.00.00.00.00.00.00.60.000.0120.000.0000.00.00.00.00.00.00.00.00.00.012.01.0적합적합0.010.06.60.0050.0107.00.00.00.455.00.050.40.00.006불검출0.0010.00.00.00.00.0040.0020.00.0<NA><NA>
452015부산광역시양지부산광역시 북구 화명동 272-1소규모급수시설계곡수부산시-상수도사업본부0불검출0.00.00.00.00.00.00.00.041.20.000.0250.000.0000.00.00.00.00.00.00.00.00.00.044.02.0적합적합0.010.06.70.0030.0102.00.00.00.379.00.020.40.00.019불검출0.00060.00110.00.00.0020.0040.0020.00.0<NA><NA>
562015부산광역시초량6동부산광역시 동구 초량동 794-10소규모급수시설계곡수부산시-상수도사업본부46불검출0.00.00.00.00.00.00.00.022.50.000.0030.000.0000.00.00.00.00.00.00.00.00.00.060.00.3적합적합0.010.07.00.00.0127.00.00.00.235.00.00.00.00.0불검출0.00.00.00.00.00.00.00.00.0<NA><NA>
672015인천광역시나룻개인천광역시 옹진군 덕적면 소야리 산 53소규모급수시설계곡수인천시-상수도사업본부0불검출0.00.00.00.00.00.00.00.01.90.000.0110.000.0000.00.00.00.00.00.00.00.00.00.0149.00.5적합적합0.0100.07.60.02862.4271.00.00.00.0518.00.00.140.00.0불검출0.00.00.00.00.0050.0020.0050.00.0<NA><NA>
782015인천광역시다루인천광역시 강화군 길상면 선두리 263-1소규모급수시설계곡수인천시-상수도사업본부0불검출0.00.00.00.00.00.00.00.01.40.000.0040.000.0000.00.00.00.00.00.00.00.00.00.0120.00.0적합적합0.000.08.10.0025.1165.00.00.00.068.00.00.260.00.001불검출0.00.00.00.00.0010.00.0010.00.0<NA><NA>
892015인천광역시삼촌인천광역시 강화군 화도면 덕포리 산 112-2소규모급수시설계곡수인천시-상수도사업본부0불검출0.00.00.00.00.00.00.00.00.30.000.0020.000.0000.00.00.00.00.00.00.00.00.00.017.00.8적합적합0.000.07.40.0034.341.00.00.00.042.00.00.10.00.0불검출0.00090.00.00.00.0060.00.00.00.0<NA><NA>
9102015인천광역시우무지정보 없음소규모급수시설계곡수인천시-상수도사업본부5불검출0.00.00.00.00.00.00.00.02.90.000.0080.000.0000.00.00.00.00.00.00.00.00.00.094.00.3적합적합0.000.07.60.00573.7241.00.00.00.0419.00.00.210.030.0불검출0.00.00580.00.00.0050.0010.0020.00.0<NA><NA>
연번검사년도지역시설명시설주소수도규모수원수질검사기관일반세균총대장균군불소비소셀레늄수은시안크롬암모니아성질소질산성질소카드뮴페놀총트리할로메탄다이아지논파라티온1-2-디브로모-3-클로로프로판페니트로티온카바릴1-1-1-트리클로로에탄테트라클로로에틸렌트리클로로에틸렌디클로로메탄벤젠톨루엔에틸벤젠크실렌1-1-디클로로에틸렌사염화탄소경도과망간산칼륨소비량냄새색도세제수소이온농도아연염소이온증발잔류물망간탁도황산이온알루미늄잔류염소붕소클로로포름대장균_분원성대장균군클로랄하이드레이트디브로모아세토니트릴디클로로아세토니트릴트리클로로아세토니트릴할로아세틱에시드브로모디클로로메탄디브로모클로로메탄1-4-다이옥산포름알데히드브롬산염우라늄
953895392022경상남도 합천군백암경상남도 합천군 야로면 덕암리 348소규모급수시설계곡수누리생명과학원(주)0불검출0.00.00.00.00.00.00.00.05.60.000.00.000.0000.00.00.00.00.00.00.00.00.00.0111.00.0적합적합0.01200.07.20.0128.2188.00.00.00.1912.00.00.320.020.0불검출0.00240.0010.00.00.0060.00.00.00.00.0<NA>
953995402022경상남도 합천군상두동경상남도 합천군 가야면 성기리 산 48소규모급수시설계곡수누리생명과학원(주)2불검출0.00.00.00.00.00.00.00.00.80.000.00.000.0000.00.00.00.00.00.00.00.00.00.021.00.3적합적합0.000.07.10.0051.862.00.00.00.482.00.00.160.00.0불검출0.00.00.00.00.0030.00.00.00.00.0<NA>
954095412022경상남도 합천군송호경상남도 합천군 봉산면 송림리 산 13-1소규모급수시설계곡수경남과학기술대학교 산학협력단 환경측정검사센터0불검출0.00.00.00.00.00.00.00.02.40.000.00.000.0000.00.00.00.00.00.00.00.00.00.060.00.5적합적합0.000.07.00.0082.4105.00.00.00.153.00.00.210.00.0불검출0.00.00.00.00.00.00.00.00.00.0<NA>
954195422022경상남도 합천군신평경상남도 합천군 가야면 청현리 636-1소규모급수시설계곡수누리생명과학원(주)0불검출0.00.00.00.00.00.00.00.01.60.000.00.000.0000.00.00.00.00.00.00.00.00.00.045.00.0적합적합0.000.06.80.0642.997.00.060.00.484.00.140.240.00.0불검출0.0010.0010.00.00.0040.00.00.00.00.0007<NA>
954295432022경상남도 합천군양지마경상남도 합천군 묘산면 거산리 56소규모급수시설계곡수누리생명과학원(주)0불검출0.00.00.00.00.00.00.00.02.60.000.00.000.0000.00.00.00.00.00.00.00.00.00.032.00.0적합적합0.05800.06.90.3367.790.00.00.00.223.00.00.130.00.0불검출0.00160.00130.00.00.0020.00.00.00.00.0<NA>
954395442022경상남도 합천군외시경상남도 합천군 대병면 대지리 646-1소규모급수시설계곡수경남과학기술대학교 산학협력단 환경측정검사센터0불검출0.00.00.00.00.00.00.00.00.30.000.00.000.0000.00.00.00.00.00.00.00.00.00.020.00.4적합적합0.000.07.30.0142.160.00.00.00.082.00.00.180.00.0불검출0.00090.00150.00070.00.0010.00.00.00.00.0<NA>
954495452022경상남도 합천군청량경상남도 합천군 가야면 황산리 803소규모급수시설계곡수누리생명과학원(주)0불검출0.00.00.00.00.00.00.00.00.50.000.00.000.0000.00.00.00.00.00.00.00.00.00.05.00.0적합적합0.000.06.80.0062.735.00.00.00.482.00.00.130.00.0불검출0.00.00.00.00.0010.00.00.00.00.0<NA>
954595462022경상남도 합천군하두동경상남도 합천군 가야면 성기리 산 53소규모급수시설계곡수누리생명과학원(주)2불검출0.00.00.00.00.00.00.00.00.60.000.00.000.0000.00.00.00.00.00.00.00.00.00.048.00.0적합적합0.000.07.50.0124.896.00.00.00.125.00.00.150.00.0불검출0.00.00.00.00.0010.00.00.00.00.0<NA>
954695472022경상남도 합천군핵기경상남도 합천군 가야면 구미2길 114-7소규모급수시설계곡수누리생명과학원(주)0불검출0.00.00.00.00.00.00.00.01.20.000.00.000.0000.00.00.00.00.00.00.00.00.00.090.00.0적합적합0.000.06.80.0044.1165.00.00.00.084.00.00.20.00.0불검출0.00.00.00.00.00.00.00.00.00.0<NA>
954795482022경상남도 합천군황령경상남도 합천군 가야면 대전2길 100-2소규모급수시설계곡수누리생명과학원(주)0불검출0.00.00.00.00.00.00.00.00.50.000.00.000.0000.00.00.00.00.00.00.00.00.00.032.00.0적합적합0.00500.07.10.0192.090.00.00.00.190.00.00.190.00.0불검출0.00.00.00.00.0010.00.00.00.00.0<NA>