Overview

Dataset statistics

Number of variables67
Number of observations10000
Missing cells11426
Missing cells (%)1.7%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory5.8 MiB
Average record size in memory603.0 B

Variable types

Numeric41
Categorical23
Text3

Dataset

Description수도법에 따라 매월 실시하는 정수장 법정수질검사 결과에 대한 데이터로 전국에 위치한 정수장의 법정 수질 검사 항목을 포함 * 상세자료조회는 아래 URL을 참고 해주시기 바랍니다. https://www.waternow.go.kr/web/lawData/?pMENUID=4&ATTR_1=2001
URLhttps://www.data.go.kr/data/15093930/fileData.do

Alerts

총대장균군 has constant value ""Constant
수은 has constant value ""Constant
시안 has constant value ""Constant
페놀 has constant value ""Constant
파라티온 has constant value ""Constant
페니트로티온 has constant value ""Constant
냄새 has constant value ""Constant
has constant value ""Constant
대장균-분원성대장균군 has constant value ""Constant
is highly imbalanced (99.5%)Imbalance
크롬 is highly imbalanced (99.9%)Imbalance
카드뮴 is highly imbalanced (99.2%)Imbalance
다이아지논 is highly imbalanced (99.8%)Imbalance
1_2-디브로모-3-클로로프로판 is highly imbalanced (99.0%)Imbalance
카바릴 is highly imbalanced (99.7%)Imbalance
1_1_1-트리클로로에탄 is highly imbalanced (99.7%)Imbalance
테트라클로로에틸렌 is highly imbalanced (99.4%)Imbalance
트리클로로에틸렌 is highly imbalanced (99.7%)Imbalance
벤젠 is highly imbalanced (99.4%)Imbalance
사염화탄소 is highly imbalanced (99.9%)Imbalance
세제 is highly imbalanced (99.5%)Imbalance
잔류염소 has 116 (1.2%) missing valuesMissing
클로랄하이드레이트 has 717 (7.2%) missing valuesMissing
디브로모아세토니트릴 has 718 (7.2%) missing valuesMissing
디클로로아세토니트릴 has 717 (7.2%) missing valuesMissing
트리클로로아세토니트릴 has 717 (7.2%) missing valuesMissing
할로아세틱에시드 has 715 (7.1%) missing valuesMissing
포름알데히드 has 678 (6.8%) missing valuesMissing
우라늄 has 7048 (70.5%) missing valuesMissing
일반세균 is highly skewed (γ1 = 25.87998276)Skewed
셀레늄 is highly skewed (γ1 = 25.92217448)Skewed
암모니아성질소 is highly skewed (γ1 = 27.04522133)Skewed
톨루엔 is highly skewed (γ1 = 31.7991619)Skewed
에틸벤젠 is highly skewed (γ1 = 24.62978027)Skewed
크실렌 is highly skewed (γ1 = 22.30289059)Skewed
1_1-디클로로에틸렌 is highly skewed (γ1 = 28.94386539)Skewed
is highly skewed (γ1 = 26.14138455)Skewed
아연 is highly skewed (γ1 = 28.18015622)Skewed
포름알데히드 is highly skewed (γ1 = 42.82715136)Skewed
연번 has unique valuesUnique
일반세균 has 9857 (98.6%) zerosZeros
불소 has 8697 (87.0%) zerosZeros
비소 has 9953 (99.5%) zerosZeros
셀레늄 has 9983 (99.8%) zerosZeros
암모니아성질소 has 9946 (99.5%) zerosZeros
질산성질소 has 234 (2.3%) zerosZeros
총트리할로메탄 has 1029 (10.3%) zerosZeros
디클로로메탄 has 9892 (98.9%) zerosZeros
톨루엔 has 9830 (98.3%) zerosZeros
에틸벤젠 has 9977 (99.8%) zerosZeros
크실렌 has 9941 (99.4%) zerosZeros
1_1-디클로로에틸렌 has 9976 (99.8%) zerosZeros
과망간산칼륨소비량 has 881 (8.8%) zerosZeros
has 8048 (80.5%) zerosZeros
색도 has 6689 (66.9%) zerosZeros
아연 has 4083 (40.8%) zerosZeros
has 9589 (95.9%) zerosZeros
망간 has 9362 (93.6%) zerosZeros
황산이온 has 248 (2.5%) zerosZeros
알루미늄 has 7219 (72.2%) zerosZeros
붕소 has 5136 (51.4%) zerosZeros
클로로포름 has 1789 (17.9%) zerosZeros
클로랄하이드레이트 has 2633 (26.3%) zerosZeros
디브로모아세토니트릴 has 6351 (63.5%) zerosZeros
디클로로아세토니트릴 has 3125 (31.2%) zerosZeros
트리클로로아세토니트릴 has 8669 (86.7%) zerosZeros
할로아세틱에시드 has 1544 (15.4%) zerosZeros
브로모디클로로메탄 has 2736 (27.4%) zerosZeros
디브로모클로로메탄 has 7273 (72.7%) zerosZeros
1_4-다이옥산 has 9719 (97.2%) zerosZeros
포름알데히드 has 9212 (92.1%) zerosZeros
브롬산염 has 7123 (71.2%) zerosZeros
우라늄 has 2329 (23.3%) zerosZeros

Reproduction

Analysis started2023-12-12 13:34:46.687838
Analysis finished2023-12-12 13:34:48.050251
Duration1.36 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

UNIQUE 

Distinct10000
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean10239.731
Minimum1
Maximum20491
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-12T22:34:48.133836image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1011.9
Q15104.75
median10316
Q315328.25
95-th percentile19455.25
Maximum20491
Range20490
Interquartile range (IQR)10223.5

Descriptive statistics

Standard deviation5916.4111
Coefficient of variation (CV)0.57778971
Kurtosis-1.2018201
Mean10239.731
Median Absolute Deviation (MAD)5115.5
Skewness-0.0066984015
Sum1.0239731 × 108
Variance35003920
MonotonicityNot monotonic
2023-12-12T22:34:48.270654image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
11474 1
 
< 0.1%
8019 1
 
< 0.1%
4788 1
 
< 0.1%
3586 1
 
< 0.1%
14474 1
 
< 0.1%
8133 1
 
< 0.1%
6500 1
 
< 0.1%
19183 1
 
< 0.1%
3394 1
 
< 0.1%
9130 1
 
< 0.1%
Other values (9990) 9990
99.9%
ValueCountFrequency (%)
1 1
< 0.1%
4 1
< 0.1%
6 1
< 0.1%
14 1
< 0.1%
17 1
< 0.1%
23 1
< 0.1%
24 1
< 0.1%
28 1
< 0.1%
29 1
< 0.1%
30 1
< 0.1%
ValueCountFrequency (%)
20491 1
< 0.1%
20490 1
< 0.1%
20488 1
< 0.1%
20487 1
< 0.1%
20482 1
< 0.1%
20481 1
< 0.1%
20480 1
< 0.1%
20478 1
< 0.1%
20476 1
< 0.1%
20475 1
< 0.1%

검사년도
Categorical

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2019
2648 
2020
2583 
2021
2443 
2022
2326 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2021
2nd row2021
3rd row2021
4th row2019
5th row2019

Common Values

ValueCountFrequency (%)
2019 2648
26.5%
2020 2583
25.8%
2021 2443
24.4%
2022 2326
23.3%

Length

2023-12-12T22:34:48.408663image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T22:34:48.522526image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2019 2648
26.5%
2020 2583
25.8%
2021 2443
24.4%
2022 2326
23.3%

검사월
Real number (ℝ)

Distinct12
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.241
Minimum1
Maximum12
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-12T22:34:48.646040image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q13
median6
Q39
95-th percentile11
Maximum12
Range11
Interquartile range (IQR)6

Descriptive statistics

Standard deviation3.3351509
Coefficient of variation (CV)0.53439367
Kurtosis-1.1937909
Mean6.241
Median Absolute Deviation (MAD)3
Skewness0.02698852
Sum62410
Variance11.123231
MonotonicityNot monotonic
2023-12-12T22:34:48.778409image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
1 894
8.9%
3 882
8.8%
6 881
8.8%
4 878
8.8%
9 877
8.8%
7 876
8.8%
10 866
8.7%
2 865
8.6%
11 854
8.5%
5 843
8.4%
Other values (2) 1284
12.8%
ValueCountFrequency (%)
1 894
8.9%
2 865
8.6%
3 882
8.8%
4 878
8.8%
5 843
8.4%
6 881
8.8%
7 876
8.8%
8 840
8.4%
9 877
8.8%
10 866
8.7%
ValueCountFrequency (%)
12 444
4.4%
11 854
8.5%
10 866
8.7%
9 877
8.8%
8 840
8.4%
7 876
8.8%
6 881
8.8%
5 843
8.4%
4 878
8.8%
3 882
8.8%
Distinct133
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2023-12-12T22:34:49.134625image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length8
Median length8
Mean length7.2762
Min length5

Characters and Unicode

Total characters72762
Distinct characters110
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 row전라남도 진도군
2nd row강원도 인제군
3rd row충청남도 보령시
4th row경상북도 안동시
5th row충청북도 영동군
ValueCountFrequency (%)
경상북도 1820
 
10.1%
전라남도 1738
 
9.6%
강원도 1504
 
8.3%
경상남도 1119
 
6.2%
수자원공사 873
 
4.8%
경기도 864
 
4.8%
충청북도 455
 
2.5%
전라북도 407
 
2.2%
제주특별자치도 391
 
2.2%
남해군 257
 
1.4%
Other values (131) 8663
47.9%
2023-12-12T22:34:49.616856image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
8924
 
12.3%
8091
 
11.1%
5276
 
7.3%
4083
 
5.6%
3548
 
4.9%
3454
 
4.7%
3025
 
4.2%
2682
 
3.7%
2653
 
3.6%
2210
 
3.0%
Other values (100) 28816
39.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 64671
88.9%
Space Separator 8091
 
11.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
8924
 
13.8%
5276
 
8.2%
4083
 
6.3%
3548
 
5.5%
3454
 
5.3%
3025
 
4.7%
2682
 
4.1%
2653
 
4.1%
2210
 
3.4%
2145
 
3.3%
Other values (99) 26671
41.2%
Space Separator
ValueCountFrequency (%)
8091
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 64671
88.9%
Common 8091
 
11.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
8924
 
13.8%
5276
 
8.2%
4083
 
6.3%
3548
 
5.5%
3454
 
5.3%
3025
 
4.7%
2682
 
4.1%
2653
 
4.1%
2210
 
3.4%
2145
 
3.3%
Other values (99) 26671
41.2%
Common
ValueCountFrequency (%)
8091
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 64671
88.9%
ASCII 8091
 
11.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
8924
 
13.8%
5276
 
8.2%
4083
 
6.3%
3548
 
5.5%
3454
 
5.3%
3025
 
4.7%
2682
 
4.1%
2653
 
4.1%
2210
 
3.4%
2145
 
3.3%
Other values (99) 26671
41.2%
ASCII
ValueCountFrequency (%)
8091
100.0%
Distinct443
Distinct (%)4.4%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2023-12-12T22:34:49.974858image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length9
Median length2
Mean length2.2667
Min length2

Characters and Unicode

Total characters22667
Distinct characters222
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique3 ?
Unique (%)< 0.1%

Sample

1st row서거차
2nd row용대
3rd row창동
4th row용상1
5th row학산
ValueCountFrequency (%)
덕산 68
 
0.7%
통합 63
 
0.6%
춘양 50
 
0.5%
남정 49
 
0.5%
고령 47
 
0.5%
설악 45
 
0.4%
고산 44
 
0.4%
청산 43
 
0.4%
유천 43
 
0.4%
문산 42
 
0.4%
Other values (433) 9554
95.1%
2023-12-12T22:34:50.428541image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
896
 
4.0%
782
 
3.4%
702
 
3.1%
556
 
2.5%
465
 
2.1%
443
 
2.0%
400
 
1.8%
342
 
1.5%
308
 
1.4%
303
 
1.3%
Other values (212) 17470
77.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 21932
96.8%
Decimal Number 387
 
1.7%
Open Punctuation 119
 
0.5%
Close Punctuation 119
 
0.5%
Space Separator 48
 
0.2%
Other Punctuation 45
 
0.2%
Math Symbol 17
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
896
 
4.1%
782
 
3.6%
702
 
3.2%
556
 
2.5%
465
 
2.1%
443
 
2.0%
400
 
1.8%
342
 
1.6%
308
 
1.4%
303
 
1.4%
Other values (203) 16735
76.3%
Decimal Number
ValueCountFrequency (%)
2 186
48.1%
1 136
35.1%
3 65
 
16.8%
Other Punctuation
ValueCountFrequency (%)
· 25
55.6%
, 20
44.4%
Open Punctuation
ValueCountFrequency (%)
( 119
100.0%
Close Punctuation
ValueCountFrequency (%)
) 119
100.0%
Space Separator
ValueCountFrequency (%)
48
100.0%
Math Symbol
ValueCountFrequency (%)
+ 17
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 21932
96.8%
Common 735
 
3.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
896
 
4.1%
782
 
3.6%
702
 
3.2%
556
 
2.5%
465
 
2.1%
443
 
2.0%
400
 
1.8%
342
 
1.6%
308
 
1.4%
303
 
1.4%
Other values (203) 16735
76.3%
Common
ValueCountFrequency (%)
2 186
25.3%
1 136
18.5%
( 119
16.2%
) 119
16.2%
3 65
 
8.8%
48
 
6.5%
· 25
 
3.4%
, 20
 
2.7%
+ 17
 
2.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 21932
96.8%
ASCII 710
 
3.1%
None 25
 
0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
896
 
4.1%
782
 
3.6%
702
 
3.2%
556
 
2.5%
465
 
2.1%
443
 
2.0%
400
 
1.8%
342
 
1.6%
308
 
1.4%
303
 
1.4%
Other values (203) 16735
76.3%
ASCII
ValueCountFrequency (%)
2 186
26.2%
1 136
19.2%
( 119
16.8%
) 119
16.8%
3 65
 
9.2%
48
 
6.8%
, 20
 
2.8%
+ 17
 
2.4%
None
ValueCountFrequency (%)
· 25
100.0%

수원종류
Categorical

Distinct9
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
호소수
3764 
복류수
3413 
하천수
1437 
지하수
989 
용천수
 
167
Other values (4)
 
230

Length

Max length5
Median length3
Mean length3.0173
Min length2

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

1st row호소수
2nd row복류수
3rd row하천수
4th row복류수
5th row지하수

Common Values

ValueCountFrequency (%)
호소수 3764
37.6%
복류수 3413
34.1%
하천수 1437
 
14.4%
지하수 989
 
9.9%
용천수 167
 
1.7%
강변여과수 117
 
1.2%
해수 62
 
0.6%
계곡수 50
 
0.5%
<NA> 1
 
< 0.1%

Length

2023-12-12T22:34:50.579691image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T22:34:50.697036image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
호소수 3764
37.6%
복류수 3413
34.1%
하천수 1437
 
14.4%
지하수 989
 
9.9%
용천수 167
 
1.7%
강변여과수 117
 
1.2%
해수 62
 
0.6%
계곡수 50
 
0.5%
na 1
 
< 0.1%
Distinct82
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2023-12-12T22:34:50.949301image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length24
Median length18
Mean length11.0831
Min length4

Characters and Unicode

Total characters110831
Distinct characters146
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

Unique3 ?
Unique (%)< 0.1%

Sample

1st row이산 친환경연구원
2nd row연세환경
3rd row(주)맑은물분석연구원
4th row경북-보건환경연구원
5th row(주)동우환경기술연구원
ValueCountFrequency (%)
한국수자원공사 1812
 
12.7%
주)기림생명과학원 562
 
3.9%
경북-보건환경연구원 505
 
3.5%
친환경연구원 477
 
3.4%
이산 477
 
3.4%
영섬유역본부 474
 
3.3%
강원-보건환경연구원 428
 
3.0%
제주특별자치도 391
 
2.7%
상하수도본부 391
 
2.7%
한강유역본부 382
 
2.7%
Other values (94) 8332
58.5%
2023-12-12T22:34:51.797510image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
6354
 
5.7%
4545
 
4.1%
4407
 
4.0%
4312
 
3.9%
4112
 
3.7%
3777
 
3.4%
3717
 
3.4%
3453
 
3.1%
3365
 
3.0%
2932
 
2.6%
Other values (136) 69857
63.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 97299
87.8%
Space Separator 4312
 
3.9%
Open Punctuation 2760
 
2.5%
Close Punctuation 2760
 
2.5%
Dash Punctuation 1866
 
1.7%
Uppercase Letter 1780
 
1.6%
Other Punctuation 52
 
< 0.1%
Lowercase Letter 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
6354
 
6.5%
4545
 
4.7%
4407
 
4.5%
4112
 
4.2%
3777
 
3.9%
3717
 
3.8%
3453
 
3.5%
3365
 
3.5%
2932
 
3.0%
2608
 
2.7%
Other values (121) 58029
59.6%
Uppercase Letter
ValueCountFrequency (%)
T 442
24.8%
I 442
24.8%
E 226
12.7%
M 225
12.6%
K 222
12.5%
O 221
12.4%
D 1
 
0.1%
V 1
 
0.1%
Lowercase Letter
ValueCountFrequency (%)
c 1
50.0%
o 1
50.0%
Space Separator
ValueCountFrequency (%)
4312
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2760
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2760
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1866
100.0%
Other Punctuation
ValueCountFrequency (%)
. 52
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 97299
87.8%
Common 11750
 
10.6%
Latin 1782
 
1.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
6354
 
6.5%
4545
 
4.7%
4407
 
4.5%
4112
 
4.2%
3777
 
3.9%
3717
 
3.8%
3453
 
3.5%
3365
 
3.5%
2932
 
3.0%
2608
 
2.7%
Other values (121) 58029
59.6%
Latin
ValueCountFrequency (%)
T 442
24.8%
I 442
24.8%
E 226
12.7%
M 225
12.6%
K 222
12.5%
O 221
12.4%
D 1
 
0.1%
c 1
 
0.1%
o 1
 
0.1%
V 1
 
0.1%
Common
ValueCountFrequency (%)
4312
36.7%
( 2760
23.5%
) 2760
23.5%
- 1866
15.9%
. 52
 
0.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 97299
87.8%
ASCII 13532
 
12.2%

Most frequent character per block

Hangul
ValueCountFrequency (%)
6354
 
6.5%
4545
 
4.7%
4407
 
4.5%
4112
 
4.2%
3777
 
3.9%
3717
 
3.8%
3453
 
3.5%
3365
 
3.5%
2932
 
3.0%
2608
 
2.7%
Other values (121) 58029
59.6%
ASCII
ValueCountFrequency (%)
4312
31.9%
( 2760
20.4%
) 2760
20.4%
- 1866
13.8%
T 442
 
3.3%
I 442
 
3.3%
E 226
 
1.7%
M 225
 
1.7%
K 222
 
1.6%
O 221
 
1.6%
Other values (5) 56
 
0.4%

일반세균
Real number (ℝ)

SKEWED  ZEROS 

Distinct34
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1413
Minimum0
Maximum91
Zeros9857
Zeros (%)98.6%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-12T22:34:51.986514image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum91
Range91
Interquartile range (IQR)0

Descriptive statistics

Standard deviation2.4465757
Coefficient of variation (CV)17.314761
Kurtosis750.71567
Mean0.1413
Median Absolute Deviation (MAD)0
Skewness25.879983
Sum1413
Variance5.9857329
MonotonicityNot monotonic
2023-12-12T22:34:52.141913image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=34)
ValueCountFrequency (%)
0 9857
98.6%
1 35
 
0.4%
2 34
 
0.3%
3 17
 
0.2%
4 9
 
0.1%
5 8
 
0.1%
11 3
 
< 0.1%
7 3
 
< 0.1%
10 3
 
< 0.1%
27 3
 
< 0.1%
Other values (24) 28
 
0.3%
ValueCountFrequency (%)
0 9857
98.6%
1 35
 
0.4%
2 34
 
0.3%
3 17
 
0.2%
4 9
 
0.1%
5 8
 
0.1%
6 2
 
< 0.1%
7 3
 
< 0.1%
8 1
 
< 0.1%
9 1
 
< 0.1%
ValueCountFrequency (%)
91 1
< 0.1%
85 1
< 0.1%
77 1
< 0.1%
73 1
< 0.1%
66 1
< 0.1%
65 1
< 0.1%
60 1
< 0.1%
58 1
< 0.1%
56 1
< 0.1%
50 1
< 0.1%

총대장균군
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
불검출
10000 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
불검출 10000
100.0%

Length

2023-12-12T22:34:52.284389image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T22:34:52.382963image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
불검출 10000
100.0%


Categorical

IMBALANCE 

Distinct5
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
0.0
9992 
0.005
 
4
0.006
 
2
0.009
 
1
0.007
 
1

Length

Max length5
Median length3
Mean length3.0016
Min length3

Unique

Unique2 ?
Unique (%)< 0.1%

Sample

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

Common Values

ValueCountFrequency (%)
0.0 9992
99.9%
0.005 4
 
< 0.1%
0.006 2
 
< 0.1%
0.009 1
 
< 0.1%
0.007 1
 
< 0.1%

Length

2023-12-12T22:34:52.497716image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T22:34:52.623933image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0.0 9992
99.9%
0.005 4
 
< 0.1%
0.006 2
 
< 0.1%
0.009 1
 
< 0.1%
0.007 1
 
< 0.1%

불소
Real number (ℝ)

ZEROS 

Distinct89
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.031637
Minimum0
Maximum1.43
Zeros8697
Zeros (%)87.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-12T22:34:52.760343image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0.22
Maximum1.43
Range1.43
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.10056859
Coefficient of variation (CV)3.1788283
Kurtosis38.125693
Mean0.031637
Median Absolute Deviation (MAD)0
Skewness5.0881718
Sum316.37
Variance0.010114042
MonotonicityNot monotonic
2023-12-12T22:34:52.917055image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 8697
87.0%
0.16 130
 
1.3%
0.17 110
 
1.1%
0.15 107
 
1.1%
0.19 97
 
1.0%
0.2 95
 
0.9%
0.18 94
 
0.9%
0.21 65
 
0.7%
0.22 61
 
0.6%
0.24 57
 
0.6%
Other values (79) 487
 
4.9%
ValueCountFrequency (%)
0.0 8697
87.0%
0.02 3
 
< 0.1%
0.03 3
 
< 0.1%
0.04 4
 
< 0.1%
0.05 11
 
0.1%
0.06 5
 
0.1%
0.07 7
 
0.1%
0.08 13
 
0.1%
0.09 10
 
0.1%
0.1 14
 
0.1%
ValueCountFrequency (%)
1.43 2
< 0.1%
1.3 1
< 0.1%
1.26 1
< 0.1%
1.24 1
< 0.1%
1.2 1
< 0.1%
1.15 1
< 0.1%
1.11 2
< 0.1%
1.09 1
< 0.1%
0.98 2
< 0.1%
0.93 2
< 0.1%

비소
Real number (ℝ)

ZEROS 

Distinct6
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.03 × 10-5
Minimum0
Maximum0.009
Zeros9953
Zeros (%)99.5%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-12T22:34:53.062006image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum0.009
Range0.009
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.0004487784
Coefficient of variation (CV)14.811168
Kurtosis239.29054
Mean3.03 × 10-5
Median Absolute Deviation (MAD)0
Skewness15.27225
Sum0.303
Variance2.0140205 × 10-7
MonotonicityNot monotonic
2023-12-12T22:34:53.180469image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
0.0 9953
99.5%
0.006 16
 
0.2%
0.005 12
 
0.1%
0.007 8
 
0.1%
0.008 8
 
0.1%
0.009 3
 
< 0.1%
ValueCountFrequency (%)
0.0 9953
99.5%
0.005 12
 
0.1%
0.006 16
 
0.2%
0.007 8
 
0.1%
0.008 8
 
0.1%
0.009 3
 
< 0.1%
ValueCountFrequency (%)
0.009 3
 
< 0.1%
0.008 8
 
0.1%
0.007 8
 
0.1%
0.006 16
 
0.2%
0.005 12
 
0.1%
0.0 9953
99.5%

셀레늄
Real number (ℝ)

SKEWED  ZEROS 

Distinct6
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.13 × 10-5
Minimum0
Maximum0.01
Zeros9983
Zeros (%)99.8%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-12T22:34:53.308177image/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 deviation0.00028032154
Coefficient of variation (CV)24.807216
Kurtosis699.24737
Mean1.13 × 10-5
Median Absolute Deviation (MAD)0
Skewness25.922174
Sum0.113
Variance7.8580168 × 10-8
MonotonicityNot monotonic
2023-12-12T22:34:53.450908image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
0.0 9983
99.8%
0.008 5
 
0.1%
0.005 5
 
0.1%
0.006 4
 
< 0.1%
0.007 2
 
< 0.1%
0.01 1
 
< 0.1%
ValueCountFrequency (%)
0.0 9983
99.8%
0.005 5
 
0.1%
0.006 4
 
< 0.1%
0.007 2
 
< 0.1%
0.008 5
 
0.1%
0.01 1
 
< 0.1%
ValueCountFrequency (%)
0.01 1
 
< 0.1%
0.008 5
 
0.1%
0.007 2
 
< 0.1%
0.006 4
 
< 0.1%
0.005 5
 
0.1%
0.0 9983
99.8%

수은
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
0
10000 

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 10000
100.0%

Length

2023-12-12T22:34:53.597902image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T22:34:53.707407image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 10000
100.0%

시안
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
0
10000 

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 10000
100.0%

Length

2023-12-12T22:34:53.801764image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T22:34:53.888163image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 10000
100.0%

크롬
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
0.0
9999 
0.03
 
1

Length

Max length4
Median length3
Mean length3.0001
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 9999
> 99.9%
0.03 1
 
< 0.1%

Length

2023-12-12T22:34:53.991223image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T22:34:54.111742image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0.0 9999
> 99.9%
0.03 1
 
< 0.1%

암모니아성질소
Real number (ℝ)

SKEWED  ZEROS 

Distinct14
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.000225
Minimum0
Maximum0.17
Zeros9946
Zeros (%)99.5%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-12T22:34:54.240722image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum0.17
Range0.17
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.0042919945
Coefficient of variation (CV)19.075531
Kurtosis841.16995
Mean0.000225
Median Absolute Deviation (MAD)0
Skewness27.045221
Sum2.25
Variance1.8421217 × 10-5
MonotonicityNot monotonic
2023-12-12T22:34:54.388611image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
0.0 9946
99.5%
0.02 14
 
0.1%
0.01 13
 
0.1%
0.03 11
 
0.1%
0.07 3
 
< 0.1%
0.15 2
 
< 0.1%
0.04 2
 
< 0.1%
0.06 2
 
< 0.1%
0.08 2
 
< 0.1%
0.17 1
 
< 0.1%
Other values (4) 4
 
< 0.1%
ValueCountFrequency (%)
0.0 9946
99.5%
0.01 13
 
0.1%
0.02 14
 
0.1%
0.03 11
 
0.1%
0.04 2
 
< 0.1%
0.06 2
 
< 0.1%
0.07 3
 
< 0.1%
0.08 2
 
< 0.1%
0.1 1
 
< 0.1%
0.11 1
 
< 0.1%
ValueCountFrequency (%)
0.17 1
 
< 0.1%
0.15 2
< 0.1%
0.14 1
 
< 0.1%
0.12 1
 
< 0.1%
0.11 1
 
< 0.1%
0.1 1
 
< 0.1%
0.08 2
< 0.1%
0.07 3
< 0.1%
0.06 2
< 0.1%
0.04 2
< 0.1%

질산성질소
Real number (ℝ)

ZEROS 

Distinct79
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.49751
Minimum0
Maximum9.9
Zeros234
Zeros (%)2.3%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-12T22:34:54.550182image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.2
Q10.7
median1.3
Q32
95-th percentile3.6
Maximum9.9
Range9.9
Interquartile range (IQR)1.3

Descriptive statistics

Standard deviation1.0951716
Coefficient of variation (CV)0.73132838
Kurtosis3.1147953
Mean1.49751
Median Absolute Deviation (MAD)0.7
Skewness1.4075204
Sum14975.1
Variance1.1994007
MonotonicityNot monotonic
2023-12-12T22:34:54.713374image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.8 487
 
4.9%
1.0 463
 
4.6%
0.6 462
 
4.6%
0.9 459
 
4.6%
1.2 426
 
4.3%
0.7 411
 
4.1%
1.1 409
 
4.1%
0.4 394
 
3.9%
1.4 388
 
3.9%
0.2 368
 
3.7%
Other values (69) 5733
57.3%
ValueCountFrequency (%)
0.0 234
2.3%
0.1 149
 
1.5%
0.2 368
3.7%
0.3 309
3.1%
0.4 394
3.9%
0.5 341
3.4%
0.6 462
4.6%
0.7 411
4.1%
0.8 487
4.9%
0.9 459
4.6%
ValueCountFrequency (%)
9.9 1
 
< 0.1%
8.7 1
 
< 0.1%
8.6 1
 
< 0.1%
7.9 1
 
< 0.1%
7.7 2
< 0.1%
7.6 1
 
< 0.1%
7.3 1
 
< 0.1%
7.2 1
 
< 0.1%
7.1 1
 
< 0.1%
6.9 4
< 0.1%

카드뮴
Categorical

IMBALANCE 

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
0.0
9990 
0.002
 
6
0.003
 
4

Length

Max length5
Median length3
Mean length3.002
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 9990
99.9%
0.002 6
 
0.1%
0.003 4
 
< 0.1%

Length

2023-12-12T22:34:54.845598image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T22:34:54.958694image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0.0 9990
99.9%
0.002 6
 
0.1%
0.003 4
 
< 0.1%

페놀
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
0
10000 

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 10000
100.0%

Length

2023-12-12T22:34:55.065888image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T22:34:55.145489image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 10000
100.0%

총트리할로메탄
Real number (ℝ)

ZEROS 

Distinct101
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.0231619
Minimum0
Maximum0.1
Zeros1029
Zeros (%)10.3%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-12T22:34:55.234727image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10.01
median0.021
Q30.033
95-th percentile0.058
Maximum0.1
Range0.1
Interquartile range (IQR)0.023

Descriptive statistics

Standard deviation0.017728263
Coefficient of variation (CV)0.76540626
Kurtosis0.85903941
Mean0.0231619
Median Absolute Deviation (MAD)0.011
Skewness0.927526
Sum231.619
Variance0.00031429132
MonotonicityNot monotonic
2023-12-12T22:34:55.346277image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 1029
 
10.3%
0.02 255
 
2.5%
0.018 254
 
2.5%
0.016 248
 
2.5%
0.021 245
 
2.5%
0.01 237
 
2.4%
0.022 236
 
2.4%
0.015 233
 
2.3%
0.017 232
 
2.3%
0.026 229
 
2.3%
Other values (91) 6802
68.0%
ValueCountFrequency (%)
0.0 1029
10.3%
0.001 54
 
0.5%
0.002 83
 
0.8%
0.003 131
 
1.3%
0.004 202
 
2.0%
0.005 170
 
1.7%
0.006 184
 
1.8%
0.007 181
 
1.8%
0.008 212
 
2.1%
0.009 183
 
1.8%
ValueCountFrequency (%)
0.1 2
 
< 0.1%
0.099 1
 
< 0.1%
0.098 1
 
< 0.1%
0.097 1
 
< 0.1%
0.096 1
 
< 0.1%
0.095 3
< 0.1%
0.094 1
 
< 0.1%
0.093 3
< 0.1%
0.092 2
 
< 0.1%
0.091 6
0.1%

다이아지논
Categorical

IMBALANCE 

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
0.0
9998 
0.01
 
1
0.0077
 
1

Length

Max length6
Median length3
Mean length3.0004
Min length3

Unique

Unique2 ?
Unique (%)< 0.1%

Sample

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

Common Values

ValueCountFrequency (%)
0.0 9998
> 99.9%
0.01 1
 
< 0.1%
0.0077 1
 
< 0.1%

Length

2023-12-12T22:34:55.452019image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T22:34:55.534667image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0.0 9998
> 99.9%
0.01 1
 
< 0.1%
0.0077 1
 
< 0.1%

파라티온
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
0
10000 

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 10000
100.0%

Length

2023-12-12T22:34:55.633163image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T22:34:55.719861image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 10000
100.0%
Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
0.0
9986 
0.002
 
10
0.001
 
4

Length

Max length5
Median length3
Mean length3.0028
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 9986
99.9%
0.002 10
 
0.1%
0.001 4
 
< 0.1%

Length

2023-12-12T22:34:55.865197image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T22:34:55.976051image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0.0 9986
99.9%
0.002 10
 
0.1%
0.001 4
 
< 0.1%

페니트로티온
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
0
10000 

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 10000
100.0%

Length

2023-12-12T22:34:56.122560image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T22:34:56.200282image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 10000
100.0%

카바릴
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
0.0
9998 
0.005
 
2

Length

Max length5
Median length3
Mean length3.0004
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 9998
> 99.9%
0.005 2
 
< 0.1%

Length

2023-12-12T22:34:56.305692image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T22:34:56.423506image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0.0 9998
> 99.9%
0.005 2
 
< 0.1%

1_1_1-트리클로로에탄
Categorical

IMBALANCE 

Distinct5
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
0.0
9995 
0.004
 
2
0.002
 
1
0.006
 
1
0.012
 
1

Length

Max length5
Median length3
Mean length3.001
Min length3

Unique

Unique3 ?
Unique (%)< 0.1%

Sample

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

Common Values

ValueCountFrequency (%)
0.0 9995
> 99.9%
0.004 2
 
< 0.1%
0.002 1
 
< 0.1%
0.006 1
 
< 0.1%
0.012 1
 
< 0.1%

Length

2023-12-12T22:34:56.551407image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T22:34:56.661680image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0.0 9995
> 99.9%
0.004 2
 
< 0.1%
0.002 1
 
< 0.1%
0.006 1
 
< 0.1%
0.012 1
 
< 0.1%

테트라클로로에틸렌
Categorical

IMBALANCE 

Distinct5
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
0.0
9989 
0.004
 
5
0.002
 
3
0.005
 
2
0.001
 
1

Length

Max length5
Median length3
Mean length3.0022
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 9989
99.9%
0.004 5
 
0.1%
0.002 3
 
< 0.1%
0.005 2
 
< 0.1%
0.001 1
 
< 0.1%

Length

2023-12-12T22:34:56.777885image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T22:34:56.906732image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0.0 9989
99.9%
0.004 5
 
< 0.1%
0.002 3
 
< 0.1%
0.005 2
 
< 0.1%
0.001 1
 
< 0.1%

트리클로로에틸렌
Categorical

IMBALANCE 

Distinct5
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
0.0
9995 
0.001
 
2
0.007
 
1
0.004
 
1
0.005
 
1

Length

Max length5
Median length3
Mean length3.001
Min length3

Unique

Unique3 ?
Unique (%)< 0.1%

Sample

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

Common Values

ValueCountFrequency (%)
0.0 9995
> 99.9%
0.001 2
 
< 0.1%
0.007 1
 
< 0.1%
0.004 1
 
< 0.1%
0.005 1
 
< 0.1%

Length

2023-12-12T22:34:57.045748image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T22:34:57.157758image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0.0 9995
> 99.9%
0.001 2
 
< 0.1%
0.007 1
 
< 0.1%
0.004 1
 
< 0.1%
0.005 1
 
< 0.1%

디클로로메탄
Real number (ℝ)

ZEROS 

Distinct19
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.27 × 10-5
Minimum0
Maximum0.02
Zeros9892
Zeros (%)98.9%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-12T22:34:57.280136image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum0.02
Range0.02
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.00082878429
Coefficient of variation (CV)11.400059
Kurtosis253.36468
Mean7.27 × 10-5
Median Absolute Deviation (MAD)0
Skewness14.747166
Sum0.727
Variance6.868834 × 10-7
MonotonicityNot monotonic
2023-12-12T22:34:57.454762image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
0.0 9892
98.9%
0.003 23
 
0.2%
0.004 22
 
0.2%
0.005 11
 
0.1%
0.006 9
 
0.1%
0.007 6
 
0.1%
0.009 6
 
0.1%
0.008 6
 
0.1%
0.014 4
 
< 0.1%
0.012 4
 
< 0.1%
Other values (9) 17
 
0.2%
ValueCountFrequency (%)
0.0 9892
98.9%
0.002 3
 
< 0.1%
0.003 23
 
0.2%
0.004 22
 
0.2%
0.005 11
 
0.1%
0.006 9
 
0.1%
0.007 6
 
0.1%
0.008 6
 
0.1%
0.009 6
 
0.1%
0.01 1
 
< 0.1%
ValueCountFrequency (%)
0.02 2
< 0.1%
0.018 2
< 0.1%
0.017 1
 
< 0.1%
0.016 2
< 0.1%
0.015 1
 
< 0.1%
0.014 4
< 0.1%
0.013 1
 
< 0.1%
0.012 4
< 0.1%
0.011 4
< 0.1%
0.01 1
 
< 0.1%

벤젠
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
0.0
9995 
0.002
 
5

Length

Max length5
Median length3
Mean length3.001
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 9995
> 99.9%
0.002 5
 
0.1%

Length

2023-12-12T22:34:57.629386image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T22:34:57.764099image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0.0 9995
> 99.9%
0.002 5
 
< 0.1%

톨루엔
Real number (ℝ)

SKEWED  ZEROS 

Distinct25
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.0001463
Minimum0
Maximum0.121
Zeros9830
Zeros (%)98.3%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-12T22:34:57.883145image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum0.121
Range0.121
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.0028535435
Coefficient of variation (CV)19.50474
Kurtosis1121.0277
Mean0.0001463
Median Absolute Deviation (MAD)0
Skewness31.799162
Sum1.463
Variance8.1427106 × 10-6
MonotonicityNot monotonic
2023-12-12T22:34:58.039691image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%)
0.0 9830
98.3%
0.002 74
 
0.7%
0.003 42
 
0.4%
0.004 13
 
0.1%
0.005 6
 
0.1%
0.001 6
 
0.1%
0.007 4
 
< 0.1%
0.009 3
 
< 0.1%
0.07 2
 
< 0.1%
0.01 2
 
< 0.1%
Other values (15) 18
 
0.2%
ValueCountFrequency (%)
0.0 9830
98.3%
0.001 6
 
0.1%
0.002 74
 
0.7%
0.003 42
 
0.4%
0.004 13
 
0.1%
0.005 6
 
0.1%
0.007 4
 
< 0.1%
0.008 1
 
< 0.1%
0.009 3
 
< 0.1%
0.01 2
 
< 0.1%
ValueCountFrequency (%)
0.121 1
< 0.1%
0.12 1
< 0.1%
0.104 1
< 0.1%
0.094 1
< 0.1%
0.083 1
< 0.1%
0.07 2
< 0.1%
0.065 1
< 0.1%
0.052 1
< 0.1%
0.047 1
< 0.1%
0.042 1
< 0.1%

에틸벤젠
Real number (ℝ)

SKEWED  ZEROS 

Distinct6
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.6 × 10-6
Minimum0
Maximum0.006
Zeros9977
Zeros (%)99.8%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-12T22:34:58.206745image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum0.006
Range0.006
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.00014545981
Coefficient of variation (CV)22.039365
Kurtosis678.2988
Mean6.6 × 10-6
Median Absolute Deviation (MAD)0
Skewness24.62978
Sum0.066
Variance2.1158556 × 10-8
MonotonicityNot monotonic
2023-12-12T22:34:58.337161image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
0.0 9977
99.8%
0.003 11
 
0.1%
0.002 7
 
0.1%
0.004 3
 
< 0.1%
0.001 1
 
< 0.1%
0.006 1
 
< 0.1%
ValueCountFrequency (%)
0.0 9977
99.8%
0.001 1
 
< 0.1%
0.002 7
 
0.1%
0.003 11
 
0.1%
0.004 3
 
< 0.1%
0.006 1
 
< 0.1%
ValueCountFrequency (%)
0.006 1
 
< 0.1%
0.004 3
 
< 0.1%
0.003 11
 
0.1%
0.002 7
 
0.1%
0.001 1
 
< 0.1%
0.0 9977
99.8%

크실렌
Real number (ℝ)

SKEWED  ZEROS 

Distinct9
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.1 × 10-5
Minimum0
Maximum0.014
Zeros9941
Zeros (%)99.4%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-12T22:34:58.446580image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum0.014
Range0.014
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.00032645008
Coefficient of variation (CV)15.545242
Kurtosis646.80679
Mean2.1 × 10-5
Median Absolute Deviation (MAD)0
Skewness22.302891
Sum0.21
Variance1.0656966 × 10-7
MonotonicityNot monotonic
2023-12-12T22:34:58.584911image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
0.0 9941
99.4%
0.002 24
 
0.2%
0.003 16
 
0.2%
0.006 8
 
0.1%
0.004 6
 
0.1%
0.01 2
 
< 0.1%
0.014 1
 
< 0.1%
0.001 1
 
< 0.1%
0.007 1
 
< 0.1%
ValueCountFrequency (%)
0.0 9941
99.4%
0.001 1
 
< 0.1%
0.002 24
 
0.2%
0.003 16
 
0.2%
0.004 6
 
0.1%
0.006 8
 
0.1%
0.007 1
 
< 0.1%
0.01 2
 
< 0.1%
0.014 1
 
< 0.1%
ValueCountFrequency (%)
0.014 1
 
< 0.1%
0.01 2
 
< 0.1%
0.007 1
 
< 0.1%
0.006 8
 
0.1%
0.004 6
 
0.1%
0.003 16
 
0.2%
0.002 24
 
0.2%
0.001 1
 
< 0.1%
0.0 9941
99.4%

1_1-디클로로에틸렌
Real number (ℝ)

SKEWED  ZEROS 

Distinct11
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.19 × 10-5
Minimum0
Maximum0.013
Zeros9976
Zeros (%)99.8%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-12T22:34:58.699107image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum0.013
Range0.013
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.00028100941
Coefficient of variation (CV)23.614236
Kurtosis963.61276
Mean1.19 × 10-5
Median Absolute Deviation (MAD)0
Skewness28.943865
Sum0.119
Variance7.8966287 × 10-8
MonotonicityNot monotonic
2023-12-12T22:34:58.812492image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
0.0 9976
99.8%
0.002 5
 
0.1%
0.005 4
 
< 0.1%
0.004 3
 
< 0.1%
0.008 3
 
< 0.1%
0.003 3
 
< 0.1%
0.007 2
 
< 0.1%
0.001 1
 
< 0.1%
0.01 1
 
< 0.1%
0.013 1
 
< 0.1%
ValueCountFrequency (%)
0.0 9976
99.8%
0.001 1
 
< 0.1%
0.002 5
 
0.1%
0.003 3
 
< 0.1%
0.004 3
 
< 0.1%
0.005 4
 
< 0.1%
0.006 1
 
< 0.1%
0.007 2
 
< 0.1%
0.008 3
 
< 0.1%
0.01 1
 
< 0.1%
ValueCountFrequency (%)
0.013 1
 
< 0.1%
0.01 1
 
< 0.1%
0.008 3
< 0.1%
0.007 2
 
< 0.1%
0.006 1
 
< 0.1%
0.005 4
< 0.1%
0.004 3
< 0.1%
0.003 3
< 0.1%
0.002 5
0.1%
0.001 1
 
< 0.1%

사염화탄소
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
0.0
9999 
0.001
 
1

Length

Max length5
Median length3
Mean length3.0002
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 9999
> 99.9%
0.001 1
 
< 0.1%

Length

2023-12-12T22:34:58.973844image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T22:34:59.083796image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0.0 9999
> 99.9%
0.001 1
 
< 0.1%

경도
Real number (ℝ)

Distinct208
Distinct (%)2.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean57.6298
Minimum0
Maximum284
Zeros6
Zeros (%)0.1%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-12T22:34:59.514645image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile14
Q130
median52
Q378
95-th percentile124
Maximum284
Range284
Interquartile range (IQR)48

Descriptive statistics

Standard deviation34.934184
Coefficient of variation (CV)0.60618263
Kurtosis1.8819513
Mean57.6298
Median Absolute Deviation (MAD)23
Skewness1.0753
Sum576298
Variance1220.3972
MonotonicityNot monotonic
2023-12-12T22:34:59.685309image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20 156
 
1.6%
30 155
 
1.6%
34 153
 
1.5%
26 152
 
1.5%
24 148
 
1.5%
52 142
 
1.4%
28 140
 
1.4%
27 140
 
1.4%
36 132
 
1.3%
21 132
 
1.3%
Other values (198) 8550
85.5%
ValueCountFrequency (%)
0 6
 
0.1%
1 1
 
< 0.1%
2 9
 
0.1%
3 9
 
0.1%
4 12
 
0.1%
5 12
 
0.1%
6 28
0.3%
7 33
0.3%
8 35
0.4%
9 42
0.4%
ValueCountFrequency (%)
284 1
< 0.1%
281 2
< 0.1%
275 1
< 0.1%
273 1
< 0.1%
265 1
< 0.1%
264 1
< 0.1%
250 1
< 0.1%
246 1
< 0.1%
239 1
< 0.1%
236 2
< 0.1%

과망간산칼륨소비량
Real number (ℝ)

ZEROS 

Distinct88
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.64053
Minimum0
Maximum9.7
Zeros881
Zeros (%)8.8%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-12T22:34:59.871656image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10.8
median1.4
Q32.2
95-th percentile4
Maximum9.7
Range9.7
Interquartile range (IQR)1.4

Descriptive statistics

Standard deviation1.2382664
Coefficient of variation (CV)0.75479655
Kurtosis3.7502466
Mean1.64053
Median Absolute Deviation (MAD)0.7
Skewness1.4440498
Sum16405.3
Variance1.5333036
MonotonicityNot monotonic
2023-12-12T22:35:00.069932image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 881
 
8.8%
0.9 439
 
4.4%
1.4 416
 
4.2%
1.6 404
 
4.0%
1.2 392
 
3.9%
1.3 387
 
3.9%
1.0 372
 
3.7%
0.8 371
 
3.7%
1.1 369
 
3.7%
0.6 369
 
3.7%
Other values (78) 5600
56.0%
ValueCountFrequency (%)
0.0 881
8.8%
0.1 2
 
< 0.1%
0.2 17
 
0.2%
0.3 240
 
2.4%
0.4 260
 
2.6%
0.5 261
 
2.6%
0.6 369
3.7%
0.7 288
 
2.9%
0.8 371
3.7%
0.9 439
4.4%
ValueCountFrequency (%)
9.7 3
< 0.1%
9.5 1
 
< 0.1%
9.4 1
 
< 0.1%
9.1 1
 
< 0.1%
8.9 1
 
< 0.1%
8.8 3
< 0.1%
8.5 3
< 0.1%
8.3 1
 
< 0.1%
8.2 1
 
< 0.1%
8.1 2
< 0.1%

냄새
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
적합
10000 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
적합 10000
100.0%

Length

2023-12-12T22:35:00.222183image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T22:35:00.346888image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
적합 10000
100.0%


Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
적합
10000 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
적합 10000
100.0%

Length

2023-12-12T22:35:00.444560image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T22:35:00.572261image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
적합 10000
100.0%


Real number (ℝ)

SKEWED  ZEROS 

Distinct127
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.004041
Minimum0
Maximum1
Zeros8048
Zeros (%)80.5%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-12T22:35:00.709841image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0.019
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.02121767
Coefficient of variation (CV)5.250599
Kurtosis1056.4456
Mean0.004041
Median Absolute Deviation (MAD)0
Skewness26.141385
Sum40.41
Variance0.00045018954
MonotonicityNot monotonic
2023-12-12T22:35:00.897738image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 8048
80.5%
0.009 177
 
1.8%
0.004 146
 
1.5%
0.005 138
 
1.4%
0.008 138
 
1.4%
0.01 123
 
1.2%
0.011 99
 
1.0%
0.006 95
 
0.9%
0.007 91
 
0.9%
0.012 90
 
0.9%
Other values (117) 855
 
8.6%
ValueCountFrequency (%)
0.0 8048
80.5%
0.001 2
 
< 0.1%
0.002 2
 
< 0.1%
0.003 4
 
< 0.1%
0.004 146
 
1.5%
0.005 138
 
1.4%
0.006 95
 
0.9%
0.007 91
 
0.9%
0.008 138
 
1.4%
0.009 177
 
1.8%
ValueCountFrequency (%)
1.0 2
< 0.1%
0.517 1
< 0.1%
0.453 1
< 0.1%
0.395 1
< 0.1%
0.325 1
< 0.1%
0.272 1
< 0.1%
0.259 1
< 0.1%
0.234 1
< 0.1%
0.228 1
< 0.1%
0.219 1
< 0.1%

색도
Real number (ℝ)

ZEROS 

Distinct6
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.3446
Minimum0
Maximum5
Zeros6689
Zeros (%)66.9%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-12T22:35:01.023124image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile1
Maximum5
Range5
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.51466234
Coefficient of variation (CV)1.4935065
Kurtosis3.8315669
Mean0.3446
Median Absolute Deviation (MAD)0
Skewness1.4211485
Sum3446
Variance0.26487733
MonotonicityNot monotonic
2023-12-12T22:35:01.151370image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
0 6689
66.9%
1 3221
32.2%
2 57
 
0.6%
3 24
 
0.2%
4 6
 
0.1%
5 3
 
< 0.1%
ValueCountFrequency (%)
0 6689
66.9%
1 3221
32.2%
2 57
 
0.6%
3 24
 
0.2%
4 6
 
0.1%
5 3
 
< 0.1%
ValueCountFrequency (%)
5 3
 
< 0.1%
4 6
 
0.1%
3 24
 
0.2%
2 57
 
0.6%
1 3221
32.2%
0 6689
66.9%

세제
Categorical

IMBALANCE 

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
0.0
9993 
0.1
 
3
0.5
 
2
0.2
 
2

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 9993
99.9%
0.1 3
 
< 0.1%
0.5 2
 
< 0.1%
0.2 2
 
< 0.1%

Length

2023-12-12T22:35:01.294244image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T22:35:01.414732image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0.0 9993
99.9%
0.1 3
 
< 0.1%
0.5 2
 
< 0.1%
0.2 2
 
< 0.1%

수소이온농도
Real number (ℝ)

Distinct28
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.21084
Minimum5.8
Maximum8.5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-12T22:35:01.539625image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum5.8
5-th percentile6.6
Q17
median7.2
Q37.5
95-th percentile7.8
Maximum8.5
Range2.7
Interquartile range (IQR)0.5

Descriptive statistics

Standard deviation0.38176573
Coefficient of variation (CV)0.052943308
Kurtosis0.30694758
Mean7.21084
Median Absolute Deviation (MAD)0.2
Skewness-0.01464894
Sum72108.4
Variance0.14574507
MonotonicityNot monotonic
2023-12-12T22:35:01.688413image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=28)
ValueCountFrequency (%)
7.2 1163
11.6%
7.1 1068
10.7%
7.0 1022
10.2%
7.3 967
9.7%
7.4 887
8.9%
6.9 736
 
7.4%
7.5 681
 
6.8%
7.6 606
 
6.1%
6.8 589
 
5.9%
7.7 434
 
4.3%
Other values (18) 1847
18.5%
ValueCountFrequency (%)
5.8 9
 
0.1%
5.9 15
 
0.1%
6.0 7
 
0.1%
6.1 26
 
0.3%
6.2 44
 
0.4%
6.3 43
 
0.4%
6.4 83
 
0.8%
6.5 147
 
1.5%
6.6 257
2.6%
6.7 383
3.8%
ValueCountFrequency (%)
8.5 3
 
< 0.1%
8.4 11
 
0.1%
8.3 20
 
0.2%
8.2 49
 
0.5%
8.1 63
 
0.6%
8.0 145
 
1.5%
7.9 190
 
1.9%
7.8 352
3.5%
7.7 434
4.3%
7.6 606
6.1%

아연
Real number (ℝ)

SKEWED  ZEROS 

Distinct177
Distinct (%)1.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.0096608
Minimum0
Maximum3
Zeros4083
Zeros (%)40.8%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-12T22:35:01.876860image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0.003
Q30.008
95-th percentile0.03
Maximum3
Range3
Interquartile range (IQR)0.008

Descriptive statistics

Standard deviation0.052352026
Coefficient of variation (CV)5.4190156
Kurtosis1233.3452
Mean0.0096608
Median Absolute Deviation (MAD)0.003
Skewness28.180156
Sum96.608
Variance0.0027407346
MonotonicityNot monotonic
2023-12-12T22:35:02.047567image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 4083
40.8%
0.003 805
 
8.1%
0.002 680
 
6.8%
0.004 676
 
6.8%
0.005 469
 
4.7%
0.006 429
 
4.3%
0.008 313
 
3.1%
0.007 258
 
2.6%
0.01 228
 
2.3%
0.009 221
 
2.2%
Other values (167) 1838
18.4%
ValueCountFrequency (%)
0.0 4083
40.8%
0.001 10
 
0.1%
0.002 680
 
6.8%
0.003 805
 
8.1%
0.004 676
 
6.8%
0.005 469
 
4.7%
0.006 429
 
4.3%
0.007 258
 
2.6%
0.008 313
 
3.1%
0.009 221
 
2.2%
ValueCountFrequency (%)
3.0 1
< 0.1%
1.312 1
< 0.1%
1.177 1
< 0.1%
1.138 1
< 0.1%
1.036 1
< 0.1%
0.973 1
< 0.1%
0.94 1
< 0.1%
0.933 1
< 0.1%
0.846 1
< 0.1%
0.804 1
< 0.1%

염소이온
Real number (ℝ)

Distinct725
Distinct (%)7.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean17.13795
Minimum0
Maximum248.6
Zeros15
Zeros (%)0.1%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-12T22:35:02.203038image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile4.9
Q19
median13.3
Q319.8
95-th percentile42.705
Maximum248.6
Range248.6
Interquartile range (IQR)10.8

Descriptive statistics

Standard deviation15.492521
Coefficient of variation (CV)0.90398918
Kurtosis41.102871
Mean17.13795
Median Absolute Deviation (MAD)5
Skewness4.8577783
Sum171379.5
Variance240.01822
MonotonicityNot monotonic
2023-12-12T22:35:02.343848image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
9.0 76
 
0.8%
10.8 75
 
0.8%
8.6 75
 
0.8%
9.2 74
 
0.7%
12.4 73
 
0.7%
11.0 73
 
0.7%
13.0 72
 
0.7%
9.7 71
 
0.7%
7.0 71
 
0.7%
12.8 69
 
0.7%
Other values (715) 9271
92.7%
ValueCountFrequency (%)
0.0 15
0.1%
0.6 1
 
< 0.1%
1.0 2
 
< 0.1%
1.3 1
 
< 0.1%
1.4 1
 
< 0.1%
1.5 2
 
< 0.1%
1.6 2
 
< 0.1%
1.7 3
 
< 0.1%
1.8 2
 
< 0.1%
1.9 6
 
0.1%
ValueCountFrequency (%)
248.6 1
< 0.1%
233.0 1
< 0.1%
218.9 1
< 0.1%
216.1 1
< 0.1%
214.1 1
< 0.1%
207.7 1
< 0.1%
201.0 1
< 0.1%
200.2 1
< 0.1%
197.2 1
< 0.1%
191.0 1
< 0.1%

증발잔류물
Real number (ℝ)

Distinct388
Distinct (%)3.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean114.0324
Minimum0
Maximum1170
Zeros12
Zeros (%)0.1%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-12T22:35:02.481815image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile36
Q168
median100.5
Q3145
95-th percentile245
Maximum1170
Range1170
Interquartile range (IQR)77

Descriptive statistics

Standard deviation66.184078
Coefficient of variation (CV)0.58039713
Kurtosis12.594321
Mean114.0324
Median Absolute Deviation (MAD)37.5
Skewness1.9664785
Sum1140324
Variance4380.3322
MonotonicityNot monotonic
2023-12-12T22:35:02.628566image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
88 104
 
1.0%
84 97
 
1.0%
82 93
 
0.9%
62 92
 
0.9%
74 87
 
0.9%
50 86
 
0.9%
98 85
 
0.9%
100 84
 
0.8%
80 84
 
0.8%
87 84
 
0.8%
Other values (378) 9104
91.0%
ValueCountFrequency (%)
0 12
0.1%
2 1
 
< 0.1%
4 1
 
< 0.1%
5 2
 
< 0.1%
6 1
 
< 0.1%
7 3
 
< 0.1%
8 3
 
< 0.1%
9 5
0.1%
10 6
0.1%
11 5
0.1%
ValueCountFrequency (%)
1170 1
< 0.1%
961 1
< 0.1%
752 1
< 0.1%
747 1
< 0.1%
489 1
< 0.1%
478 1
< 0.1%
474 1
< 0.1%
459 1
< 0.1%
458 1
< 0.1%
448 1
< 0.1%


Real number (ℝ)

ZEROS 

Distinct27
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.003562
Minimum0
Maximum0.3
Zeros9589
Zeros (%)95.9%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-12T22:35:02.766491image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum0.3
Range0.3
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.019512822
Coefficient of variation (CV)5.4780523
Kurtosis54.138152
Mean0.003562
Median Absolute Deviation (MAD)0
Skewness6.7682512
Sum35.62
Variance0.00038075023
MonotonicityNot monotonic
2023-12-12T22:35:02.901593image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=27)
ValueCountFrequency (%)
0.0 9589
95.9%
0.06 84
 
0.8%
0.05 63
 
0.6%
0.07 51
 
0.5%
0.08 46
 
0.5%
0.09 32
 
0.3%
0.1 26
 
0.3%
0.12 14
 
0.1%
0.16 12
 
0.1%
0.14 11
 
0.1%
Other values (17) 72
 
0.7%
ValueCountFrequency (%)
0.0 9589
95.9%
0.01 10
 
0.1%
0.02 5
 
0.1%
0.03 1
 
< 0.1%
0.04 1
 
< 0.1%
0.05 63
 
0.6%
0.06 84
 
0.8%
0.07 51
 
0.5%
0.08 46
 
0.5%
0.09 32
 
0.3%
ValueCountFrequency (%)
0.3 1
 
< 0.1%
0.25 1
 
< 0.1%
0.24 1
 
< 0.1%
0.23 4
< 0.1%
0.22 2
 
< 0.1%
0.21 5
0.1%
0.2 2
 
< 0.1%
0.19 4
< 0.1%
0.18 6
0.1%
0.17 3
< 0.1%

망간
Real number (ℝ)

ZEROS 

Distinct48
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.0007123
Minimum0
Maximum0.049
Zeros9362
Zeros (%)93.6%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-12T22:35:03.061953image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0.005
Maximum0.049
Range0.049
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.0036441263
Coefficient of variation (CV)5.1159993
Kurtosis66.064745
Mean0.0007123
Median Absolute Deviation (MAD)0
Skewness7.4307481
Sum7.123
Variance1.3279657 × 10-5
MonotonicityNot monotonic
2023-12-12T22:35:03.194438image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=48)
ValueCountFrequency (%)
0.0 9362
93.6%
0.004 105
 
1.1%
0.006 79
 
0.8%
0.005 78
 
0.8%
0.007 45
 
0.4%
0.008 40
 
0.4%
0.01 26
 
0.3%
0.012 25
 
0.2%
0.011 24
 
0.2%
0.009 23
 
0.2%
Other values (38) 193
 
1.9%
ValueCountFrequency (%)
0.0 9362
93.6%
0.001 9
 
0.1%
0.002 5
 
0.1%
0.003 6
 
0.1%
0.004 105
 
1.1%
0.005 78
 
0.8%
0.006 79
 
0.8%
0.007 45
 
0.4%
0.008 40
 
0.4%
0.009 23
 
0.2%
ValueCountFrequency (%)
0.049 1
 
< 0.1%
0.048 1
 
< 0.1%
0.047 2
 
< 0.1%
0.046 1
 
< 0.1%
0.044 3
< 0.1%
0.043 3
< 0.1%
0.042 3
< 0.1%
0.041 4
< 0.1%
0.039 1
 
< 0.1%
0.038 5
0.1%

탁도
Real number (ℝ)

Distinct51
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.100892
Minimum0
Maximum0.5
Zeros94
Zeros (%)0.9%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-12T22:35:03.339782image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.02
Q10.05
median0.07
Q30.12
95-th percentile0.28
Maximum0.5
Range0.5
Interquartile range (IQR)0.07

Descriptive statistics

Standard deviation0.083001044
Coefficient of variation (CV)0.8226722
Kurtosis5.2089263
Mean0.100892
Median Absolute Deviation (MAD)0.03
Skewness2.1457772
Sum1008.92
Variance0.0068891733
MonotonicityNot monotonic
2023-12-12T22:35:03.496346image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.06 1179
11.8%
0.05 1164
11.6%
0.07 903
 
9.0%
0.04 836
 
8.4%
0.08 735
 
7.3%
0.09 627
 
6.3%
0.1 477
 
4.8%
0.03 473
 
4.7%
0.02 440
 
4.4%
0.11 352
 
3.5%
Other values (41) 2814
28.1%
ValueCountFrequency (%)
0.0 94
 
0.9%
0.01 26
 
0.3%
0.02 440
 
4.4%
0.03 473
4.7%
0.04 836
8.4%
0.05 1164
11.6%
0.06 1179
11.8%
0.07 903
9.0%
0.08 735
7.3%
0.09 627
6.3%
ValueCountFrequency (%)
0.5 6
 
0.1%
0.49 10
0.1%
0.48 18
0.2%
0.47 19
0.2%
0.46 17
0.2%
0.45 18
0.2%
0.44 14
0.1%
0.43 22
0.2%
0.42 18
0.2%
0.41 10
0.1%

황산이온
Real number (ℝ)

ZEROS 

Distinct100
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean11.9019
Minimum0
Maximum197
Zeros248
Zeros (%)2.5%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-12T22:35:03.662633image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile3
Q15
median9
Q314
95-th percentile37
Maximum197
Range197
Interquartile range (IQR)9

Descriptive statistics

Standard deviation11.909133
Coefficient of variation (CV)1.0006078
Kurtosis19.394091
Mean11.9019
Median Absolute Deviation (MAD)4
Skewness3.3999744
Sum119019
Variance141.82746
MonotonicityNot monotonic
2023-12-12T22:35:03.832047image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
5 917
 
9.2%
6 834
 
8.3%
4 813
 
8.1%
8 667
 
6.7%
7 663
 
6.6%
10 593
 
5.9%
3 541
 
5.4%
9 532
 
5.3%
12 498
 
5.0%
11 473
 
4.7%
Other values (90) 3469
34.7%
ValueCountFrequency (%)
0 248
 
2.5%
1 1
 
< 0.1%
2 248
 
2.5%
3 541
5.4%
4 813
8.1%
5 917
9.2%
6 834
8.3%
7 663
6.6%
8 667
6.7%
9 532
5.3%
ValueCountFrequency (%)
197 1
< 0.1%
140 1
< 0.1%
133 1
< 0.1%
127 1
< 0.1%
124 1
< 0.1%
115 1
< 0.1%
112 1
< 0.1%
111 1
< 0.1%
108 1
< 0.1%
100 1
< 0.1%

알루미늄
Real number (ℝ)

ZEROS 

Distinct21
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.012221
Minimum0
Maximum0.2
Zeros7219
Zeros (%)72.2%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-12T22:35:03.996809image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30.02
95-th percentile0.06
Maximum0.2
Range0.2
Interquartile range (IQR)0.02

Descriptive statistics

Standard deviation0.025047952
Coefficient of variation (CV)2.0495828
Kurtosis10.556892
Mean0.012221
Median Absolute Deviation (MAD)0
Skewness2.8746364
Sum122.21
Variance0.0006273999
MonotonicityNot monotonic
2023-12-12T22:35:04.150125image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
0.0 7219
72.2%
0.02 708
 
7.1%
0.03 676
 
6.8%
0.04 486
 
4.9%
0.05 269
 
2.7%
0.06 174
 
1.7%
0.07 129
 
1.3%
0.09 61
 
0.6%
0.08 60
 
0.6%
0.1 46
 
0.5%
Other values (11) 172
 
1.7%
ValueCountFrequency (%)
0.0 7219
72.2%
0.01 21
 
0.2%
0.02 708
 
7.1%
0.03 676
 
6.8%
0.04 486
 
4.9%
0.05 269
 
2.7%
0.06 174
 
1.7%
0.07 129
 
1.3%
0.08 60
 
0.6%
0.09 61
 
0.6%
ValueCountFrequency (%)
0.2 6
 
0.1%
0.19 3
 
< 0.1%
0.18 5
 
0.1%
0.17 7
 
0.1%
0.16 9
 
0.1%
0.15 14
 
0.1%
0.14 15
 
0.1%
0.13 13
 
0.1%
0.12 43
0.4%
0.11 36
0.4%

잔류염소
Real number (ℝ)

MISSING 

Distinct180
Distinct (%)1.8%
Missing116
Missing (%)1.2%
Infinite0
Infinite (%)0.0%
Mean0.67275799
Minimum0
Maximum3.5
Zeros83
Zeros (%)0.8%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-12T22:35:04.664346image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.25
Q10.51
median0.68
Q30.82
95-th percentile1.08
Maximum3.5
Range3.5
Interquartile range (IQR)0.31

Descriptive statistics

Standard deviation0.25796121
Coefficient of variation (CV)0.38343834
Kurtosis3.3484643
Mean0.67275799
Median Absolute Deviation (MAD)0.15
Skewness0.5650078
Sum6649.54
Variance0.066543986
MonotonicityNot monotonic
2023-12-12T22:35:04.842933image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.7 343
 
3.4%
0.6 208
 
2.1%
0.8 202
 
2.0%
0.71 193
 
1.9%
0.75 184
 
1.8%
0.78 184
 
1.8%
0.72 182
 
1.8%
0.65 180
 
1.8%
0.68 175
 
1.8%
0.64 169
 
1.7%
Other values (170) 7864
78.6%
ValueCountFrequency (%)
0.0 83
0.8%
0.01 1
 
< 0.1%
0.06 2
 
< 0.1%
0.07 2
 
< 0.1%
0.08 3
 
< 0.1%
0.09 2
 
< 0.1%
0.1 33
 
0.3%
0.11 6
 
0.1%
0.12 11
 
0.1%
0.13 12
 
0.1%
ValueCountFrequency (%)
3.5 1
 
< 0.1%
2.38 1
 
< 0.1%
2.2 2
 
< 0.1%
2.16 1
 
< 0.1%
2.1 1
 
< 0.1%
2.02 1
 
< 0.1%
2.0 5
0.1%
1.97 2
 
< 0.1%
1.92 1
 
< 0.1%
1.9 1
 
< 0.1%

붕소
Real number (ℝ)

ZEROS 

Distinct60
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.013629
Minimum0
Maximum1
Zeros5136
Zeros (%)51.4%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-12T22:35:05.037733image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30.01
95-th percentile0.05
Maximum1
Range1
Interquartile range (IQR)0.01

Descriptive statistics

Standard deviation0.042435368
Coefficient of variation (CV)3.1136083
Kurtosis160.24639
Mean0.013629
Median Absolute Deviation (MAD)0
Skewness10.908289
Sum136.29
Variance0.0018007604
MonotonicityNot monotonic
2023-12-12T22:35:05.229550image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 5136
51.4%
0.01 2475
24.8%
0.02 1225
 
12.2%
0.03 398
 
4.0%
0.04 250
 
2.5%
0.05 144
 
1.4%
0.06 99
 
1.0%
0.07 46
 
0.5%
0.09 38
 
0.4%
0.08 36
 
0.4%
Other values (50) 153
 
1.5%
ValueCountFrequency (%)
0.0 5136
51.4%
0.01 2475
24.8%
0.02 1225
 
12.2%
0.03 398
 
4.0%
0.04 250
 
2.5%
0.05 144
 
1.4%
0.06 99
 
1.0%
0.07 46
 
0.5%
0.08 36
 
0.4%
0.09 38
 
0.4%
ValueCountFrequency (%)
1.0 1
< 0.1%
0.98 1
< 0.1%
0.78 1
< 0.1%
0.76 1
< 0.1%
0.7 1
< 0.1%
0.69 2
< 0.1%
0.67 2
< 0.1%
0.64 1
< 0.1%
0.63 1
< 0.1%
0.6 1
< 0.1%

클로로포름
Real number (ℝ)

ZEROS 

Distinct81
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.0159091
Minimum0
Maximum0.08
Zeros1789
Zeros (%)17.9%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-12T22:35:05.389342image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10.005
median0.013
Q30.023
95-th percentile0.044
Maximum0.08
Range0.08
Interquartile range (IQR)0.018

Descriptive statistics

Standard deviation0.014071199
Coefficient of variation (CV)0.88447485
Kurtosis1.2921351
Mean0.0159091
Median Absolute Deviation (MAD)0.009
Skewness1.1183156
Sum159.091
Variance0.00019799864
MonotonicityNot monotonic
2023-12-12T22:35:05.552429image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 1789
 
17.9%
0.008 342
 
3.4%
0.01 329
 
3.3%
0.014 326
 
3.3%
0.012 319
 
3.2%
0.006 305
 
3.0%
0.004 301
 
3.0%
0.018 297
 
3.0%
0.005 295
 
2.9%
0.011 294
 
2.9%
Other values (71) 5403
54.0%
ValueCountFrequency (%)
0.0 1789
17.9%
0.001 33
 
0.3%
0.002 46
 
0.5%
0.003 175
 
1.8%
0.004 301
 
3.0%
0.005 295
 
2.9%
0.006 305
 
3.0%
0.007 290
 
2.9%
0.008 342
 
3.4%
0.009 277
 
2.8%
ValueCountFrequency (%)
0.08 2
< 0.1%
0.079 1
 
< 0.1%
0.078 3
< 0.1%
0.077 4
< 0.1%
0.076 3
< 0.1%
0.075 3
< 0.1%
0.074 4
< 0.1%
0.073 2
< 0.1%
0.072 1
 
< 0.1%
0.071 1
 
< 0.1%

대장균-분원성대장균군
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
불검출
10000 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
불검출 10000
100.0%

Length

2023-12-12T22:35:05.706378image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T22:35:05.810949image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
불검출 10000
100.0%

클로랄하이드레이트
Real number (ℝ)

MISSING  ZEROS 

Distinct238
Distinct (%)2.6%
Missing717
Missing (%)7.2%
Infinite0
Infinite (%)0.0%
Mean0.0030323387
Minimum0
Maximum0.03
Zeros2633
Zeros (%)26.3%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-12T22:35:05.925768image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0.0019
Q30.0043
95-th percentile0.0105
Maximum0.03
Range0.03
Interquartile range (IQR)0.0043

Descriptive statistics

Standard deviation0.0038020582
Coefficient of variation (CV)1.2538369
Kurtosis7.5214887
Mean0.0030323387
Median Absolute Deviation (MAD)0.0019
Skewness2.2913737
Sum28.1492
Variance1.4455647 × 10-5
MonotonicityNot monotonic
2023-12-12T22:35:06.052373image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 2633
26.3%
0.0006 194
 
1.9%
0.0008 163
 
1.6%
0.002 154
 
1.5%
0.0009 148
 
1.5%
0.001 146
 
1.5%
0.0011 146
 
1.5%
0.0007 143
 
1.4%
0.0014 143
 
1.4%
0.0018 139
 
1.4%
Other values (228) 5274
52.7%
(Missing) 717
 
7.2%
ValueCountFrequency (%)
0.0 2633
26.3%
0.0002 3
 
< 0.1%
0.0003 1
 
< 0.1%
0.0004 1
 
< 0.1%
0.0005 121
 
1.2%
0.0006 194
 
1.9%
0.0007 143
 
1.4%
0.0008 163
 
1.6%
0.0009 148
 
1.5%
0.001 146
 
1.5%
ValueCountFrequency (%)
0.03 1
< 0.1%
0.0294 1
< 0.1%
0.0293 1
< 0.1%
0.0292 1
< 0.1%
0.0287 1
< 0.1%
0.0286 1
< 0.1%
0.0276 1
< 0.1%
0.0273 1
< 0.1%
0.0271 1
< 0.1%
0.027 1
< 0.1%

디브로모아세토니트릴
Real number (ℝ)

MISSING  ZEROS 

Distinct92
Distinct (%)1.0%
Missing718
Missing (%)7.2%
Infinite0
Infinite (%)0.0%
Mean0.00042981039
Minimum0
Maximum0.017
Zeros6351
Zeros (%)63.5%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-12T22:35:06.212273image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30.0006
95-th percentile0.0019
Maximum0.017
Range0.017
Interquartile range (IQR)0.0006

Descriptive statistics

Standard deviation0.0010082571
Coefficient of variation (CV)2.3458184
Kurtosis51.954823
Mean0.00042981039
Median Absolute Deviation (MAD)0
Skewness5.7193121
Sum3.9895
Variance1.0165824 × 10-6
MonotonicityNot monotonic
2023-12-12T22:35:06.355042image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 6351
63.5%
0.0006 398
 
4.0%
0.0007 315
 
3.1%
0.0008 288
 
2.9%
0.0009 237
 
2.4%
0.0005 234
 
2.3%
0.001 225
 
2.2%
0.0011 141
 
1.4%
0.0012 141
 
1.4%
0.0013 117
 
1.2%
Other values (82) 835
 
8.3%
(Missing) 718
 
7.2%
ValueCountFrequency (%)
0.0 6351
63.5%
0.0001 1
 
< 0.1%
0.0002 1
 
< 0.1%
0.0003 2
 
< 0.1%
0.0004 1
 
< 0.1%
0.0005 234
 
2.3%
0.0006 398
 
4.0%
0.0007 315
 
3.1%
0.0008 288
 
2.9%
0.0009 237
 
2.4%
ValueCountFrequency (%)
0.017 1
 
< 0.1%
0.0168 1
 
< 0.1%
0.0131 1
 
< 0.1%
0.0128 1
 
< 0.1%
0.0126 1
 
< 0.1%
0.0125 1
 
< 0.1%
0.012 3
< 0.1%
0.0118 1
 
< 0.1%
0.0116 1
 
< 0.1%
0.0115 1
 
< 0.1%

디클로로아세토니트릴
Real number (ℝ)

MISSING  ZEROS 

Distinct187
Distinct (%)2.0%
Missing717
Missing (%)7.2%
Infinite0
Infinite (%)0.0%
Mean0.0016562318
Minimum0
Maximum0.069
Zeros3125
Zeros (%)31.2%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-12T22:35:06.488651image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0.0011
Q30.0021
95-th percentile0.0053
Maximum0.069
Range0.069
Interquartile range (IQR)0.0021

Descriptive statistics

Standard deviation0.0027808172
Coefficient of variation (CV)1.6790024
Kurtosis108.41393
Mean0.0016562318
Median Absolute Deviation (MAD)0.0011
Skewness7.4615534
Sum15.3748
Variance7.7329441 × 10-6
MonotonicityNot monotonic
2023-12-12T22:35:06.619619image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 3125
31.2%
0.0006 293
 
2.9%
0.0014 292
 
2.9%
0.0007 280
 
2.8%
0.001 270
 
2.7%
0.0008 258
 
2.6%
0.0012 258
 
2.6%
0.0016 245
 
2.5%
0.0011 242
 
2.4%
0.0013 228
 
2.3%
Other values (177) 3792
37.9%
(Missing) 717
 
7.2%
ValueCountFrequency (%)
0.0 3125
31.2%
0.0002 1
 
< 0.1%
0.0003 1
 
< 0.1%
0.0004 2
 
< 0.1%
0.0005 127
 
1.3%
0.0006 293
 
2.9%
0.0007 280
 
2.8%
0.0008 258
 
2.6%
0.0009 210
 
2.1%
0.001 270
 
2.7%
ValueCountFrequency (%)
0.069 1
< 0.1%
0.0615 1
< 0.1%
0.0538 1
< 0.1%
0.0462 1
< 0.1%
0.0448 1
< 0.1%
0.0368 1
< 0.1%
0.0354 1
< 0.1%
0.032 2
< 0.1%
0.0314 1
< 0.1%
0.029 1
< 0.1%

트리클로로아세토니트릴
Real number (ℝ)

MISSING  ZEROS 

Distinct32
Distinct (%)0.3%
Missing717
Missing (%)7.2%
Infinite0
Infinite (%)0.0%
Mean6.5894646 × 10-5
Minimum0
Maximum0.0038
Zeros8669
Zeros (%)86.7%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-12T22:35:06.743562image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0.0007
Maximum0.0038
Range0.0038
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.00027915868
Coefficient of variation (CV)4.2364394
Kurtosis37.882768
Mean6.5894646 × 10-5
Median Absolute Deviation (MAD)0
Skewness5.4345421
Sum0.6117
Variance7.7929567 × 10-8
MonotonicityNot monotonic
2023-12-12T22:35:06.888640image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=32)
ValueCountFrequency (%)
0.0 8669
86.7%
0.0007 107
 
1.1%
0.0006 76
 
0.8%
0.0009 60
 
0.6%
0.0012 59
 
0.6%
0.0008 59
 
0.6%
0.0005 52
 
0.5%
0.001 52
 
0.5%
0.0014 29
 
0.3%
0.0011 26
 
0.3%
Other values (22) 94
 
0.9%
(Missing) 717
 
7.2%
ValueCountFrequency (%)
0.0 8669
86.7%
0.0002 1
 
< 0.1%
0.0003 2
 
< 0.1%
0.0004 1
 
< 0.1%
0.0005 52
 
0.5%
0.0006 76
 
0.8%
0.0007 107
 
1.1%
0.0008 59
 
0.6%
0.0009 60
 
0.6%
0.001 52
 
0.5%
ValueCountFrequency (%)
0.0038 2
< 0.1%
0.0036 1
 
< 0.1%
0.0034 1
 
< 0.1%
0.0031 1
 
< 0.1%
0.003 3
< 0.1%
0.0029 1
 
< 0.1%
0.0028 4
< 0.1%
0.0027 1
 
< 0.1%
0.0026 1
 
< 0.1%
0.0025 2
< 0.1%

할로아세틱에시드
Real number (ℝ)

MISSING  ZEROS 

Distinct93
Distinct (%)1.0%
Missing715
Missing (%)7.1%
Infinite0
Infinite (%)0.0%
Mean0.014189122
Minimum0
Maximum0.1
Zeros1544
Zeros (%)15.4%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-12T22:35:07.084572image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10.003
median0.01
Q30.021
95-th percentile0.044
Maximum0.1
Range0.1
Interquartile range (IQR)0.018

Descriptive statistics

Standard deviation0.014655391
Coefficient of variation (CV)1.032861
Kurtosis3.3207098
Mean0.014189122
Median Absolute Deviation (MAD)0.008
Skewness1.6169327
Sum131.746
Variance0.00021478047
MonotonicityNot monotonic
2023-12-12T22:35:07.300194image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 1544
 
15.4%
0.002 399
 
4.0%
0.004 362
 
3.6%
0.003 335
 
3.4%
0.008 319
 
3.2%
0.006 319
 
3.2%
0.005 313
 
3.1%
0.009 306
 
3.1%
0.007 276
 
2.8%
0.012 274
 
2.7%
Other values (83) 4838
48.4%
(Missing) 715
 
7.1%
ValueCountFrequency (%)
0.0 1544
15.4%
0.001 265
 
2.6%
0.002 399
 
4.0%
0.003 335
 
3.4%
0.004 362
 
3.6%
0.005 313
 
3.1%
0.006 319
 
3.2%
0.007 276
 
2.8%
0.008 319
 
3.2%
0.009 306
 
3.1%
ValueCountFrequency (%)
0.1 1
 
< 0.1%
0.096 2
< 0.1%
0.093 1
 
< 0.1%
0.092 2
< 0.1%
0.09 3
< 0.1%
0.088 2
< 0.1%
0.087 4
< 0.1%
0.086 2
< 0.1%
0.085 1
 
< 0.1%
0.083 1
 
< 0.1%

브로모디클로로메탄
Real number (ℝ)

ZEROS 

Distinct31
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.0049305
Minimum0
Maximum0.03
Zeros2736
Zeros (%)27.4%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-12T22:35:07.431608image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0.005
Q30.007
95-th percentile0.013
Maximum0.03
Range0.03
Interquartile range (IQR)0.007

Descriptive statistics

Standard deviation0.0043997506
Coefficient of variation (CV)0.89235384
Kurtosis2.2259329
Mean0.0049305
Median Absolute Deviation (MAD)0.003
Skewness1.11753
Sum49.305
Variance1.9357806 × 10-5
MonotonicityNot monotonic
2023-12-12T22:35:07.585114image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=31)
ValueCountFrequency (%)
0.0 2736
27.4%
0.004 1256
12.6%
0.005 1039
 
10.4%
0.006 994
 
9.9%
0.003 708
 
7.1%
0.007 696
 
7.0%
0.008 635
 
6.3%
0.009 405
 
4.0%
0.01 341
 
3.4%
0.011 219
 
2.2%
Other values (21) 971
 
9.7%
ValueCountFrequency (%)
0.0 2736
27.4%
0.001 73
 
0.7%
0.002 162
 
1.6%
0.003 708
 
7.1%
0.004 1256
12.6%
0.005 1039
 
10.4%
0.006 994
 
9.9%
0.007 696
 
7.0%
0.008 635
 
6.3%
0.009 405
 
4.0%
ValueCountFrequency (%)
0.03 2
 
< 0.1%
0.029 2
 
< 0.1%
0.028 3
 
< 0.1%
0.027 4
 
< 0.1%
0.026 8
0.1%
0.025 7
0.1%
0.024 6
 
0.1%
0.023 14
0.1%
0.022 15
0.1%
0.021 14
0.1%

디브로모클로로메탄
Real number (ℝ)

ZEROS 

Distinct43
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.0014011
Minimum0
Maximum0.049
Zeros7273
Zeros (%)72.7%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-12T22:35:07.725425image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30.002
95-th percentile0.007
Maximum0.049
Range0.049
Interquartile range (IQR)0.002

Descriptive statistics

Standard deviation0.0034618806
Coefficient of variation (CV)2.4708305
Kurtosis39.440477
Mean0.0014011
Median Absolute Deviation (MAD)0
Skewness5.1689854
Sum14.011
Variance1.1984617 × 10-5
MonotonicityNot monotonic
2023-12-12T22:35:07.895906image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=43)
ValueCountFrequency (%)
0.0 7273
72.7%
0.003 588
 
5.9%
0.004 581
 
5.8%
0.002 365
 
3.6%
0.005 280
 
2.8%
0.006 211
 
2.1%
0.001 200
 
2.0%
0.007 106
 
1.1%
0.008 92
 
0.9%
0.009 52
 
0.5%
Other values (33) 252
 
2.5%
ValueCountFrequency (%)
0.0 7273
72.7%
0.001 200
 
2.0%
0.002 365
 
3.6%
0.003 588
 
5.9%
0.004 581
 
5.8%
0.005 280
 
2.8%
0.006 211
 
2.1%
0.007 106
 
1.1%
0.008 92
 
0.9%
0.009 52
 
0.5%
ValueCountFrequency (%)
0.049 1
 
< 0.1%
0.043 1
 
< 0.1%
0.041 2
< 0.1%
0.04 2
< 0.1%
0.039 1
 
< 0.1%
0.038 2
< 0.1%
0.036 1
 
< 0.1%
0.035 3
< 0.1%
0.034 4
< 0.1%
0.033 4
< 0.1%

1_4-다이옥산
Real number (ℝ)

ZEROS 

Distinct19
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.81 × 10-5
Minimum0
Maximum0.023
Zeros9719
Zeros (%)97.2%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-12T22:35:08.038988image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum0.023
Range0.023
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.00064784594
Coefficient of variation (CV)9.5131562
Kurtosis454.71008
Mean6.81 × 10-5
Median Absolute Deviation (MAD)0
Skewness18.751401
Sum0.681
Variance4.1970436 × 10-7
MonotonicityNot monotonic
2023-12-12T22:35:08.166466image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
0.0 9719
97.2%
0.001 146
 
1.5%
0.002 78
 
0.8%
0.003 20
 
0.2%
0.004 7
 
0.1%
0.005 6
 
0.1%
0.006 4
 
< 0.1%
0.007 4
 
< 0.1%
0.009 3
 
< 0.1%
0.008 2
 
< 0.1%
Other values (9) 11
 
0.1%
ValueCountFrequency (%)
0.0 9719
97.2%
0.001 146
 
1.5%
0.002 78
 
0.8%
0.003 20
 
0.2%
0.004 7
 
0.1%
0.005 6
 
0.1%
0.006 4
 
< 0.1%
0.007 4
 
< 0.1%
0.008 2
 
< 0.1%
0.009 3
 
< 0.1%
ValueCountFrequency (%)
0.023 1
 
< 0.1%
0.018 1
 
< 0.1%
0.017 1
 
< 0.1%
0.016 2
< 0.1%
0.015 1
 
< 0.1%
0.014 1
 
< 0.1%
0.013 1
 
< 0.1%
0.012 2
< 0.1%
0.01 1
 
< 0.1%
0.009 3
< 0.1%

포름알데히드
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct12
Distinct (%)0.1%
Missing678
Missing (%)6.8%
Infinite0
Infinite (%)0.0%
Mean0.00045591075
Minimum0
Maximum0.48
Zeros9212
Zeros (%)92.1%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-12T22:35:08.289652image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum0.48
Range0.48
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.0072487222
Coefficient of variation (CV)15.899433
Kurtosis2457.8098
Mean0.00045591075
Median Absolute Deviation (MAD)0
Skewness42.827151
Sum4.25
Variance5.2543974 × 10-5
MonotonicityNot monotonic
2023-12-12T22:35:08.419864image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
0.0 9212
92.1%
0.02 50
 
0.5%
0.03 25
 
0.2%
0.04 14
 
0.1%
0.01 5
 
0.1%
0.05 4
 
< 0.1%
0.1 3
 
< 0.1%
0.06 3
 
< 0.1%
0.14 2
 
< 0.1%
0.07 2
 
< 0.1%
Other values (2) 2
 
< 0.1%
(Missing) 678
 
6.8%
ValueCountFrequency (%)
0.0 9212
92.1%
0.01 5
 
0.1%
0.02 50
 
0.5%
0.03 25
 
0.2%
0.04 14
 
0.1%
0.05 4
 
< 0.1%
0.06 3
 
< 0.1%
0.07 2
 
< 0.1%
0.1 3
 
< 0.1%
0.14 2
 
< 0.1%
ValueCountFrequency (%)
0.48 1
 
< 0.1%
0.31 1
 
< 0.1%
0.14 2
 
< 0.1%
0.1 3
 
< 0.1%
0.07 2
 
< 0.1%
0.06 3
 
< 0.1%
0.05 4
 
< 0.1%
0.04 14
 
0.1%
0.03 25
0.2%
0.02 50
0.5%

브롬산염
Real number (ℝ)

ZEROS 

Distinct97
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.00067088
Minimum0
Maximum0.0098
Zeros7123
Zeros (%)71.2%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-12T22:35:08.613729image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30.0007
95-th percentile0.004
Maximum0.0098
Range0.0098
Interquartile range (IQR)0.0007

Descriptive statistics

Standard deviation0.0014678629
Coefficient of variation (CV)2.1879664
Kurtosis9.738753
Mean0.00067088
Median Absolute Deviation (MAD)0
Skewness2.9583232
Sum6.7088
Variance2.1546215 × 10-6
MonotonicityNot monotonic
2023-12-12T22:35:08.778158image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 7123
71.2%
0.0006 177
 
1.8%
0.001 162
 
1.6%
0.0007 154
 
1.5%
0.0008 145
 
1.5%
0.0009 123
 
1.2%
0.0012 114
 
1.1%
0.0005 109
 
1.1%
0.0011 101
 
1.0%
0.0014 89
 
0.9%
Other values (87) 1703
 
17.0%
ValueCountFrequency (%)
0.0 7123
71.2%
0.0003 10
 
0.1%
0.0004 2
 
< 0.1%
0.0005 109
 
1.1%
0.0006 177
 
1.8%
0.0007 154
 
1.5%
0.0008 145
 
1.5%
0.0009 123
 
1.2%
0.001 162
 
1.6%
0.0011 101
 
1.0%
ValueCountFrequency (%)
0.0098 1
 
< 0.1%
0.0097 2
 
< 0.1%
0.0096 1
 
< 0.1%
0.0095 2
 
< 0.1%
0.0094 6
0.1%
0.0093 4
< 0.1%
0.0092 4
< 0.1%
0.0091 3
< 0.1%
0.009 6
0.1%
0.0089 2
 
< 0.1%

우라늄
Real number (ℝ)

MISSING  ZEROS 

Distinct69
Distinct (%)2.3%
Missing7048
Missing (%)70.5%
Infinite0
Infinite (%)0.0%
Mean0.27164634
Minimum0
Maximum30
Zeros2329
Zeros (%)23.3%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-12T22:35:08.940638image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1.245
Maximum30
Range30
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.3334063
Coefficient of variation (CV)4.9086115
Kurtosis186.64819
Mean0.27164634
Median Absolute Deviation (MAD)0
Skewness11.823806
Sum801.9
Variance1.7779725
MonotonicityNot monotonic
2023-12-12T22:35:09.106123image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 2329
 
23.3%
0.2 87
 
0.9%
0.4 80
 
0.8%
0.3 70
 
0.7%
0.1 55
 
0.5%
0.6 46
 
0.5%
0.5 46
 
0.5%
0.7 26
 
0.3%
0.9 16
 
0.2%
1.5 15
 
0.1%
Other values (59) 182
 
1.8%
(Missing) 7048
70.5%
ValueCountFrequency (%)
0.0 2329
23.3%
0.1 55
 
0.5%
0.2 87
 
0.9%
0.3 70
 
0.7%
0.4 80
 
0.8%
0.5 46
 
0.5%
0.6 46
 
0.5%
0.7 26
 
0.3%
0.8 9
 
0.1%
0.9 16
 
0.2%
ValueCountFrequency (%)
30.0 1
< 0.1%
24.9 1
< 0.1%
21.9 1
< 0.1%
17.5 1
< 0.1%
17.2 1
< 0.1%
15.4 1
< 0.1%
14.4 1
< 0.1%
13.3 1
< 0.1%
12.3 1
< 0.1%
10.3 2
< 0.1%

Sample

연번검사년도검사월수도사업자정수장명수원종류수질검사기관일반세균총대장균군불소비소셀레늄수은시안크롬암모니아성질소질산성질소카드뮴페놀총트리할로메탄다이아지논파라티온1_2-디브로모-3-클로로프로판페니트로티온카바릴1_1_1-트리클로로에탄테트라클로로에틸렌트리클로로에틸렌디클로로메탄벤젠톨루엔에틸벤젠크실렌1_1-디클로로에틸렌사염화탄소경도과망간산칼륨소비량냄새색도세제수소이온농도아연염소이온증발잔류물망간탁도황산이온알루미늄잔류염소붕소클로로포름대장균-분원성대장균군클로랄하이드레이트디브로모아세토니트릴디클로로아세토니트릴트리클로로아세토니트릴할로아세틱에시드브로모디클로로메탄디브로모클로로메탄1_4-다이옥산포름알데히드브롬산염우라늄
114731147420212전라남도 진도군서거차호소수이산 친환경연구원0불검출0.00.00.00.0000.00.00.00.000.0850.000.000.00.00.00.00.00.00.00.00.00.00.0483.4적합적합0.000.06.10.059.91520.00.00.43150.00.290.030.025불검출0.00610.00210.00240.00120.0520.0140.0250.00.00.0090.0
1536715368202111강원도 인제군용대복류수연세환경0불검출0.00.160.00.0000.00.01.60.000.00.000.000.00.00.00.00.00.00.00.00.00.00.0211.7적합적합0.01510.07.30.06.1240.00.00.0240.00.560.00.0불검출0.00670.00.0030.00.0210.00.00.00.00.0<NA>
131771317820216충청남도 보령시창동하천수(주)맑은물분석연구원0불검출0.00.00.00.0000.00.02.00.000.0320.000.000.00.00.00.00.00.00.00.00.00.00.0652.1적합적합0.010.07.80.010.81140.00.00.12190.050.520.00.02불검출0.01170.00110.00250.00.0170.010.00.00.020.0013<NA>
52275228201912경상북도 안동시용상1복류수경북-보건환경연구원0불검출0.00.00.00.0000.00.01.50.000.0610.000.000.00.00.00.00.00.00.00.00.00.00.0841.8적합적합0.01610.07.60.015.91570.00.00.07160.01.020.00.053불검출0.00820.00.00230.00.0080.0080.00.00.00.0<NA>
1948194920195충청북도 영동군학산지하수(주)동우환경기술연구원0불검출0.00.00.00.0000.00.05.70.000.0050.000.000.00.00.00.00.00.00.00.00.00.00.01501.8적합적합0.010.07.20.048.52230.00.00.08220.00.460.020.005불검출0.00.00.00.00.0060.00.00.00.00.03.4
167221672320223충청남도 당진시합덕지하수한울생명과학(주)0불검출0.00.00.00.0000.00.04.10.000.0170.000.000.00.00.00.00.00.00.00.00.00.00.01200.0적합적합0.010.07.10.00371.61830.00.00.07220.00.330.010.004불검출0.00090.00130.00080.00.0060.0030.0020.00.00.08.7
1014910150202011경상북도 포항시약성복류수경북-보건환경연구원0불검출0.00.220.00.0000.00.01.60.000.060.000.000.00.00.00.00.00.00.00.00.00.00.01311.7적합적합0.000.07.20.10416.92560.00.00.05770.030.720.030.052불검출<NA><NA><NA><NA><NA>0.0080.00.0<NA>0.0<NA>
6123612420202경상북도 경주시불국호소수(주)기림생명과학원0불검출0.00.00.00.0000.00.00.90.000.0330.000.000.00.00.00.00.00.00.00.00.00.00.0321.9적합적합0.000.06.70.00812.8780.00.00.19120.00.970.010.026불검출0.0110.00.00170.00.0250.0070.00.00.00.0<NA>
37337420191경상남도 남해군상주호소수국립경남과학기술대학교 학교기업 수질검사센터0불검출0.00.00.00.0000.00.00.40.000.0050.000.000.00.00.00.00.00.00.00.00.00.00.0362.8적합적합0.000.07.20.0176.5650.080.00.1550.00.210.00.005불검출0.00160.00.00140.00.0190.00.00.00.00.0<NA>
2028920290202211전라남도 완도군약산호소수한국수자원공사 영섬유역본부0불검출0.00.00.00.0000.00.00.50.000.0250.000.000.00.00.00.00.00.00.00.00.00.00.0372.3적합적합0.000.07.00.050.91430.00.00.1590.00.690.020.0불검출0.00.00240.00090.00.010.0060.0130.00.00.0011<NA>
연번검사년도검사월수도사업자정수장명수원종류수질검사기관일반세균총대장균군불소비소셀레늄수은시안크롬암모니아성질소질산성질소카드뮴페놀총트리할로메탄다이아지논파라티온1_2-디브로모-3-클로로프로판페니트로티온카바릴1_1_1-트리클로로에탄테트라클로로에틸렌트리클로로에틸렌디클로로메탄벤젠톨루엔에틸벤젠크실렌1_1-디클로로에틸렌사염화탄소경도과망간산칼륨소비량냄새색도세제수소이온농도아연염소이온증발잔류물망간탁도황산이온알루미늄잔류염소붕소클로로포름대장균-분원성대장균군클로랄하이드레이트디브로모아세토니트릴디클로로아세토니트릴트리클로로아세토니트릴할로아세틱에시드브로모디클로로메탄디브로모클로로메탄1_4-다이옥산포름알데히드브롬산염우라늄
5793579420201경상남도 합천군합천복류수(주)엔텍분석연구원0불검출0.00.00.00.0000.00.01.80.000.0260.000.000.00.00.00.00.00.00.00.00.00.00.0402.8적합적합0.000.07.50.013.6710.00.00.1180.00.60.010.019불검출0.00160.00.00.00.0150.0070.00.00.00.00.0
178831788420226서울특별시뚝도하천수자체수질검사0불검출0.00.00.00.0000.00.01.30.000.0260.000.000.00.00.00.00.00.00.00.00.00.00.0721.2적합적합0.000.07.10.023.01350.00.00.05140.030.570.010.016불검출0.00.00.00.00.00.0080.0020.00.00.0006<NA>
161191612020222서울특별시강북하천수자체수질검사0불검출0.00.00.00.0000.00.02.20.000.0110.000.000.00.00.00.00.00.00.00.00.00.00.0800.8적합적합0.000.07.20.025.21480.00.00.06160.020.450.010.005불검출0.00.00.00.00.0040.0040.0020.00.00.0<NA>
136021360320217충청북도 청주시지북호소수청주시상수도사업본부0불검출0.00.050.00.0000.00.01.00.000.0260.000.000.00.00.00.00.00.00.00.00.00.00.0501.5적합적합0.000.06.90.017.3840.00.00.05100.00.70.00.018불검출0.00280.00240.00240.00.00.0070.00.00.00.00.0
53955396201912수자원공사학야호소수한국수자원공사 낙동강유역본부0불검출0.00.00.00.0000.00.01.10.000.0550.000.000.00.00.00.00.00.00.00.00.00.00.0775.2적합적합0.000.07.30.013.22610.00.00.1180.040.730.030.049불검출0.00490.00.00150.00.0410.0060.00.0020.00.0<NA>
135581355920217강원도 홍천군풍암복류수중앙생명연구원(주)0불검출0.00.00.00.0000.00.02.70.000.0390.000.000.00.00.00.00.00.00.00.00.00.00.0411.1적합적합0.00500.07.10.048.6940.00.00.0360.00.960.00.032불검출0.00.00.00.00.00.0050.00.00.00.00060.0
7333733420205강원도 양양군오색계곡수연세환경0불검출0.00.00.00.0000.00.00.80.000.0180.000.000.00.00.00.00.00.00.00.00.00.00.0143.2적합적합0.010.07.00.0053.1360.00.00.130.00.410.00.016불검출0.0030.00.00140.00.0220.00.00.00.00.0<NA>
1016710168202011경상북도 영주시풍기복류수경북-보건환경연구원0불검출0.00.00.00.0000.00.04.60.000.0120.000.000.00.00.00.00.00.00.00.00.00.00.0960.8적합적합0.010.07.20.00716.71670.00.00.05180.00.810.00.007불검출0.00.00.00.00.00.0050.00.00.00.00.0
187461874720227수자원공사일산호소수한국수자원공사 한강유역본부0불검출0.00.00.00.0000.00.02.50.000.0410.000.000.00.00.00.00.00.00.00.00.00.00.0591.6적합적합0.000.06.60.016.11440.00.0080.0690.020.880.010.032불검출0.00.00.00.00.0030.0090.00.00.00.0012<NA>
44994500201911서울특별시구의하천수자체수질검사0불검출0.00.00.00.0000.00.01.70.000.0230.000.000.00.00.00.00.00.00.00.00.00.00.0781.4적합적합0.000.07.20.025.41490.00.00.04140.020.370.010.013불검출0.00.00.00.00.0010.0070.0030.00.00.0<NA>