Overview

Dataset statistics

Number of variables68
Number of observations21
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory12.5 KiB
Average record size in memory607.3 B

Variable types

Categorical48
Numeric19
DateTime1

Dataset

Description지방/광역 수도사업자가 운영하는 월정수장수질정보 조회
Author충청남도
URLhttps://alldam.chungnam.go.kr/bigdata/collect/view.chungnam?menuCd=DOM_000000201001001000&apiIdx=2789

Alerts

시도명 has constant value ""Constant
일반세균 has constant value ""Constant
총대장균군 has constant value ""Constant
대장균/분원성대장균군 has constant value ""Constant
납 has constant value ""Constant
비소 has constant value ""Constant
셀레늄 has constant value ""Constant
수은 has constant value ""Constant
시안 has constant value ""Constant
크롬 has constant value ""Constant
암모니아성질소 has constant value ""Constant
카드뮴 has constant value ""Constant
페놀 has constant value ""Constant
다이아지논 has constant value ""Constant
파라티온 has constant value ""Constant
페니트로티온 has constant value ""Constant
카바릴 has constant value ""Constant
1_1_1-트리클로로에탄 has constant value ""Constant
테트라클로로에틸렌 has constant value ""Constant
트리클로로에틸렌 has constant value ""Constant
사염화탄소 has constant value ""Constant
1_1-디클로로에틸렌 has constant value ""Constant
벤젠 has constant value ""Constant
톨루엔 has constant value ""Constant
에틸벤젠 has constant value ""Constant
크실렌 has constant value ""Constant
1_2-디브로모-3-클로로프로판 has constant value ""Constant
1_4-다이옥산 has constant value ""Constant
포름알데히드 has constant value ""Constant
냄새 has constant value ""Constant
맛 has constant value ""Constant
세제 has constant value ""Constant
철 has constant value ""Constant
디클로로메탄 is highly imbalanced (72.4%)Imbalance
망간 is highly imbalanced (72.4%)Imbalance
염소이온 has unique valuesUnique
불소 has 15 (71.4%) zerosZeros
질산성질소 has 1 (4.8%) zerosZeros
잔류염소 has 1 (4.8%) zerosZeros
총트리할로메탄 has 1 (4.8%) zerosZeros
클로로포름 has 5 (23.8%) zerosZeros
브로모디클로로메탄 has 3 (14.3%) zerosZeros
디브로모아세토니트릴 has 10 (47.6%) zerosZeros
디클로로아세토니트릴 has 10 (47.6%) zerosZeros
할로아세틱에시드 has 6 (28.6%) zerosZeros
과망간산칼륨소비량 has 2 (9.5%) zerosZeros
아연 has 7 (33.3%) zerosZeros
증발잔류물 has 4 (19.0%) zerosZeros
클로랄하이드레이트 has 13 (61.9%) zerosZeros

Reproduction

Analysis started2024-01-09 21:03:31.153424
Analysis finished2024-01-09 21:03:31.721543
Duration0.57 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

정수장명
Categorical

Distinct7
Distinct (%)33.3%
Missing0
Missing (%)0.0%
Memory size300.0 B
덕산
3 
병천
3 
예산
3 
옥룡
3 
용곡
3 
Other values (2)
6 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row덕산
2nd row병천
3rd row예산
4th row옥룡
5th row용곡

Common Values

ValueCountFrequency (%)
덕산 3
14.3%
병천 3
14.3%
예산 3
14.3%
옥룡 3
14.3%
용곡 3
14.3%
유구 3
14.3%
합덕 3
14.3%

Length

2024-01-10T06:03:31.772459image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-10T06:03:31.872713image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
덕산 3
14.3%
병천 3
14.3%
예산 3
14.3%
옥룡 3
14.3%
용곡 3
14.3%
유구 3
14.3%
합덕 3
14.3%

관리기관명
Categorical

Distinct4
Distinct (%)19.0%
Missing0
Missing (%)0.0%
Memory size300.0 B
충청남도 예산군
6 
충청남도 천안시
6 
충청남도 공주시
6 
충청남도 당진시
3 

Length

Max length8
Median length8
Mean length8
Min length8

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row충청남도 예산군
2nd row충청남도 천안시
3rd row충청남도 예산군
4th row충청남도 공주시
5th row충청남도 천안시

Common Values

ValueCountFrequency (%)
충청남도 예산군 6
28.6%
충청남도 천안시 6
28.6%
충청남도 공주시 6
28.6%
충청남도 당진시 3
14.3%

Length

2024-01-10T06:03:31.982262image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-10T06:03:32.073662image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
충청남도 21
50.0%
예산군 6
 
14.3%
천안시 6
 
14.3%
공주시 6
 
14.3%
당진시 3
 
7.1%

시도명
Categorical

CONSTANT 

Distinct1
Distinct (%)4.8%
Missing0
Missing (%)0.0%
Memory size300.0 B
충청남도
21 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
충청남도 21
100.0%

Length

2024-01-10T06:03:32.171815image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-10T06:03:32.256450image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
충청남도 21
100.0%

시군구명
Categorical

Distinct4
Distinct (%)19.0%
Missing0
Missing (%)0.0%
Memory size300.0 B
예산군
6 
천안시
6 
공주시
6 
당진시
3 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row예산군
2nd row천안시
3rd row예산군
4th row공주시
5th row천안시

Common Values

ValueCountFrequency (%)
예산군 6
28.6%
천안시 6
28.6%
공주시 6
28.6%
당진시 3
14.3%

Length

2024-01-10T06:03:32.347160image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-10T06:03:32.453501image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
예산군 6
28.6%
천안시 6
28.6%
공주시 6
28.6%
당진시 3
14.3%

관리기관전화번호
Categorical

Distinct5
Distinct (%)23.8%
Missing0
Missing (%)0.0%
Memory size300.0 B
041-521-3176
6 
041-840-8631
6 
041-339-8331
3 
041-339-8315
3 
041-360-6481
3 

Length

Max length12
Median length12
Mean length12
Min length12

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row041-339-8331
2nd row041-521-3176
3rd row041-339-8315
4th row041-840-8631
5th row041-521-3176

Common Values

ValueCountFrequency (%)
041-521-3176 6
28.6%
041-840-8631 6
28.6%
041-339-8331 3
14.3%
041-339-8315 3
14.3%
041-360-6481 3
14.3%

Length

2024-01-10T06:03:32.564041image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-10T06:03:32.659001image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
041-521-3176 6
28.6%
041-840-8631 6
28.6%
041-339-8331 3
14.3%
041-339-8315 3
14.3%
041-360-6481 3
14.3%

채수일자
Real number (ℝ)

Distinct9
Distinct (%)42.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20221006
Minimum20220803
Maximum20221208
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size321.0 B
2024-01-10T06:03:32.759999image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20220803
5-th percentile20220803
Q120220804
median20221005
Q320221205
95-th percentile20221208
Maximum20221208
Range405
Interquartile range (IQR)401

Descriptive statistics

Standard deviation168.24047
Coefficient of variation (CV)8.3200845 × 10-6
Kurtosis-1.5787998
Mean20221006
Median Absolute Deviation (MAD)200
Skewness-0.0099135294
Sum4.2464112 × 108
Variance28304.857
MonotonicityNot monotonic
2024-01-10T06:03:32.867633image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
20220803 4
19.0%
20221005 4
19.0%
20221205 3
14.3%
20220804 2
9.5%
20221007 2
9.5%
20221208 2
9.5%
20221206 2
9.5%
20220808 1
 
4.8%
20221012 1
 
4.8%
ValueCountFrequency (%)
20220803 4
19.0%
20220804 2
9.5%
20220808 1
 
4.8%
20221005 4
19.0%
20221007 2
9.5%
20221012 1
 
4.8%
20221205 3
14.3%
20221206 2
9.5%
20221208 2
9.5%
ValueCountFrequency (%)
20221208 2
9.5%
20221206 2
9.5%
20221205 3
14.3%
20221012 1
 
4.8%
20221007 2
9.5%
20221005 4
19.0%
20220808 1
 
4.8%
20220804 2
9.5%
20220803 4
19.0%

데이터기준일자
Date

Distinct12
Distinct (%)57.1%
Missing0
Missing (%)0.0%
Memory size300.0 B
Minimum2022-08-24 00:00:00
Maximum2023-01-10 00:00:00
2024-01-10T06:03:32.964310image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T06:03:33.057289image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)

검사기관명
Categorical

Distinct4
Distinct (%)19.0%
Missing0
Missing (%)0.0%
Memory size300.0 B
(주)맑은물분석연구원
7 
충남-보건환경연구원
6 
천안시 맑은물 사업본부
6 
한울생명과학(주)
2 

Length

Max length12
Median length11
Mean length10.809524
Min length9

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row충남-보건환경연구원
2nd row천안시 맑은물 사업본부
3rd row충남-보건환경연구원
4th row(주)맑은물분석연구원
5th row천안시 맑은물 사업본부

Common Values

ValueCountFrequency (%)
(주)맑은물분석연구원 7
33.3%
충남-보건환경연구원 6
28.6%
천안시 맑은물 사업본부 6
28.6%
한울생명과학(주) 2
 
9.5%

Length

2024-01-10T06:03:33.175780image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-10T06:03:33.284363image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
주)맑은물분석연구원 7
21.2%
충남-보건환경연구원 6
18.2%
천안시 6
18.2%
맑은물 6
18.2%
사업본부 6
18.2%
한울생명과학(주 2
 
6.1%

일반세균
Categorical

CONSTANT 

Distinct1
Distinct (%)4.8%
Missing0
Missing (%)0.0%
Memory size300.0 B
0
21 

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 21
100.0%

Length

2024-01-10T06:03:33.396402image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-10T06:03:33.484470image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 21
100.0%

총대장균군
Categorical

CONSTANT 

Distinct1
Distinct (%)4.8%
Missing0
Missing (%)0.0%
Memory size300.0 B
불검출
21 

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 21
100.0%

Length

2024-01-10T06:03:33.573379image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-10T06:03:33.659500image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
불검출 21
100.0%

대장균/분원성대장균군
Categorical

CONSTANT 

Distinct1
Distinct (%)4.8%
Missing0
Missing (%)0.0%
Memory size300.0 B
불검출
21 

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 21
100.0%

Length

2024-01-10T06:03:33.760063image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-10T06:03:33.859289image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
불검출 21
100.0%

납
Categorical

CONSTANT 

Distinct1
Distinct (%)4.8%
Missing0
Missing (%)0.0%
Memory size300.0 B
0
21 

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 21
100.0%

Length

2024-01-10T06:03:33.965093image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-10T06:03:34.056839image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 21
100.0%

불소
Real number (ℝ)

ZEROS 

Distinct7
Distinct (%)33.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.11952381
Minimum0
Maximum0.8
Zeros15
Zeros (%)71.4%
Negative0
Negative (%)0.0%
Memory size321.0 B
2024-01-10T06:03:34.136444image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30.17
95-th percentile0.58
Maximum0.8
Range0.8
Interquartile range (IQR)0.17

Descriptive statistics

Standard deviation0.22817704
Coefficient of variation (CV)1.9090509
Kurtosis3.3346424
Mean0.11952381
Median Absolute Deviation (MAD)0
Skewness1.99441
Sum2.51
Variance0.052064762
MonotonicityNot monotonic
2024-01-10T06:03:34.508621image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
0.0 15
71.4%
0.2 1
 
4.8%
0.8 1
 
4.8%
0.17 1
 
4.8%
0.32 1
 
4.8%
0.58 1
 
4.8%
0.44 1
 
4.8%
ValueCountFrequency (%)
0.0 15
71.4%
0.17 1
 
4.8%
0.2 1
 
4.8%
0.32 1
 
4.8%
0.44 1
 
4.8%
0.58 1
 
4.8%
0.8 1
 
4.8%
ValueCountFrequency (%)
0.8 1
 
4.8%
0.58 1
 
4.8%
0.44 1
 
4.8%
0.32 1
 
4.8%
0.2 1
 
4.8%
0.17 1
 
4.8%
0.0 15
71.4%

비소
Categorical

CONSTANT 

Distinct1
Distinct (%)4.8%
Missing0
Missing (%)0.0%
Memory size300.0 B
0
21 

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 21
100.0%

Length

2024-01-10T06:03:34.623230image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-10T06:03:34.712770image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 21
100.0%

셀레늄
Categorical

CONSTANT 

Distinct1
Distinct (%)4.8%
Missing0
Missing (%)0.0%
Memory size300.0 B
0
21 

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 21
100.0%

Length

2024-01-10T06:03:34.800407image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-10T06:03:34.885705image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 21
100.0%

수은
Categorical

CONSTANT 

Distinct1
Distinct (%)4.8%
Missing0
Missing (%)0.0%
Memory size300.0 B
0
21 

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 21
100.0%

Length

2024-01-10T06:03:34.974864image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-10T06:03:35.060297image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 21
100.0%

시안
Categorical

CONSTANT 

Distinct1
Distinct (%)4.8%
Missing0
Missing (%)0.0%
Memory size300.0 B
0
21 

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 21
100.0%

Length

2024-01-10T06:03:35.148937image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-10T06:03:35.242625image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 21
100.0%

크롬
Categorical

CONSTANT 

Distinct1
Distinct (%)4.8%
Missing0
Missing (%)0.0%
Memory size300.0 B
0
21 

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 21
100.0%

Length

2024-01-10T06:03:35.332654image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-10T06:03:35.439363image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 21
100.0%

암모니아성질소
Categorical

CONSTANT 

Distinct1
Distinct (%)4.8%
Missing0
Missing (%)0.0%
Memory size300.0 B
0
21 

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 21
100.0%

Length

2024-01-10T06:03:35.541048image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-10T06:03:35.625563image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 21
100.0%

질산성질소
Real number (ℝ)

ZEROS 

Distinct18
Distinct (%)85.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.8952381
Minimum0
Maximum4.5
Zeros1
Zeros (%)4.8%
Negative0
Negative (%)0.0%
Memory size321.0 B
2024-01-10T06:03:35.706926image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.3
Q11.2
median1.5
Q32.6
95-th percentile4.3
Maximum4.5
Range4.5
Interquartile range (IQR)1.4

Descriptive statistics

Standard deviation1.2615372
Coefficient of variation (CV)0.66563522
Kurtosis-0.22898494
Mean1.8952381
Median Absolute Deviation (MAD)0.8
Skewness0.67756013
Sum39.8
Variance1.5914762
MonotonicityNot monotonic
2024-01-10T06:03:35.806330image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
1.2 3
 
14.3%
1.5 2
 
9.5%
2.3 1
 
4.8%
4.3 1
 
4.8%
2.6 1
 
4.8%
1.3 1
 
4.8%
3.2 1
 
4.8%
0.9 1
 
4.8%
4.5 1
 
4.8%
1.4 1
 
4.8%
Other values (8) 8
38.1%
ValueCountFrequency (%)
0.0 1
 
4.8%
0.3 1
 
4.8%
0.4 1
 
4.8%
0.9 1
 
4.8%
1.1 1
 
4.8%
1.2 3
14.3%
1.3 1
 
4.8%
1.4 1
 
4.8%
1.5 2
9.5%
2.0 1
 
4.8%
ValueCountFrequency (%)
4.5 1
4.8%
4.3 1
4.8%
3.8 1
4.8%
3.2 1
4.8%
2.7 1
4.8%
2.6 1
4.8%
2.4 1
4.8%
2.3 1
4.8%
2.0 1
4.8%
1.5 2
9.5%

카드뮴
Categorical

CONSTANT 

Distinct1
Distinct (%)4.8%
Missing0
Missing (%)0.0%
Memory size300.0 B
0
21 

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 21
100.0%

Length

2024-01-10T06:03:35.904908image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-10T06:03:35.986635image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 21
100.0%

붕소
Categorical

Distinct4
Distinct (%)19.0%
Missing0
Missing (%)0.0%
Memory size300.0 B
0.01
7 
0.02
5 
0.0
5 
0.03
4 

Length

Max length4
Median length4
Mean length3.7619048
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0.01
2nd row0.02
3rd row0.03
4th row0.01
5th row0.02

Common Values

ValueCountFrequency (%)
0.01 7
33.3%
0.02 5
23.8%
0.0 5
23.8%
0.03 4
19.0%

Length

2024-01-10T06:03:36.081563image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-10T06:03:36.185330image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0.01 7
33.3%
0.02 5
23.8%
0.0 5
23.8%
0.03 4
19.0%

브롬산염
Categorical

Distinct4
Distinct (%)19.0%
Missing0
Missing (%)0.0%
Memory size300.0 B
0.0
14 
0.0008
3 
0.0007
3 
0.0006
 
1

Length

Max length6
Median length3
Mean length4
Min length3

Unique

Unique1 ?
Unique (%)4.8%

Sample

1st row0.0
2nd row0.0008
3rd row0.0
4th row0.0
5th row0.0

Common Values

ValueCountFrequency (%)
0.0 14
66.7%
0.0008 3
 
14.3%
0.0007 3
 
14.3%
0.0006 1
 
4.8%

Length

2024-01-10T06:03:36.299697image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-10T06:03:36.400640image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0.0 14
66.7%
0.0008 3
 
14.3%
0.0007 3
 
14.3%
0.0006 1
 
4.8%

우라늄
Categorical

Distinct4
Distinct (%)19.0%
Missing0
Missing (%)0.0%
Memory size300.0 B
<NA>
12 
0.0
7 
10.3
 
1
9.6
 
1

Length

Max length4
Median length4
Mean length3.6190476
Min length3

Unique

Unique2 ?
Unique (%)9.5%

Sample

1st row0.0
2nd row<NA>
3rd row0.0
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 12
57.1%
0.0 7
33.3%
10.3 1
 
4.8%
9.6 1
 
4.8%

Length

2024-01-10T06:03:36.510823image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-10T06:03:36.615087image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 12
57.1%
0.0 7
33.3%
10.3 1
 
4.8%
9.6 1
 
4.8%

페놀
Categorical

CONSTANT 

Distinct1
Distinct (%)4.8%
Missing0
Missing (%)0.0%
Memory size300.0 B
0
21 

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 21
100.0%

Length

2024-01-10T06:03:36.714374image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-10T06:03:36.806248image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 21
100.0%

다이아지논
Categorical

CONSTANT 

Distinct1
Distinct (%)4.8%
Missing0
Missing (%)0.0%
Memory size300.0 B
0
21 

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 21
100.0%

Length

2024-01-10T06:03:36.911785image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-10T06:03:37.035786image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 21
100.0%

파라티온
Categorical

CONSTANT 

Distinct1
Distinct (%)4.8%
Missing0
Missing (%)0.0%
Memory size300.0 B
0
21 

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 21
100.0%

Length

2024-01-10T06:03:37.143654image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-10T06:03:37.229815image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 21
100.0%

페니트로티온
Categorical

CONSTANT 

Distinct1
Distinct (%)4.8%
Missing0
Missing (%)0.0%
Memory size300.0 B
0
21 

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 21
100.0%

Length

2024-01-10T06:03:37.330840image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-10T06:03:37.421078image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 21
100.0%

카바릴
Categorical

CONSTANT 

Distinct1
Distinct (%)4.8%
Missing0
Missing (%)0.0%
Memory size300.0 B
0
21 

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 21
100.0%

Length

2024-01-10T06:03:37.515799image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-10T06:03:37.607569image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 21
100.0%

1_1_1-트리클로로에탄
Categorical

CONSTANT 

Distinct1
Distinct (%)4.8%
Missing0
Missing (%)0.0%
Memory size300.0 B
0
21 

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 21
100.0%

Length

2024-01-10T06:03:37.698833image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-10T06:03:37.791027image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 21
100.0%

테트라클로로에틸렌
Categorical

CONSTANT 

Distinct1
Distinct (%)4.8%
Missing0
Missing (%)0.0%
Memory size300.0 B
0
21 

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 21
100.0%

Length

2024-01-10T06:03:37.880388image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-10T06:03:37.967526image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 21
100.0%

트리클로로에틸렌
Categorical

CONSTANT 

Distinct1
Distinct (%)4.8%
Missing0
Missing (%)0.0%
Memory size300.0 B
0
21 

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 21
100.0%

Length

2024-01-10T06:03:38.062841image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-10T06:03:38.155513image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 21
100.0%

사염화탄소
Categorical

CONSTANT 

Distinct1
Distinct (%)4.8%
Missing0
Missing (%)0.0%
Memory size300.0 B
0
21 

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 21
100.0%

Length

2024-01-10T06:03:38.258152image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-10T06:03:38.352184image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 21
100.0%

1_1-디클로로에틸렌
Categorical

CONSTANT 

Distinct1
Distinct (%)4.8%
Missing0
Missing (%)0.0%
Memory size300.0 B
0
21 

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 21
100.0%

Length

2024-01-10T06:03:38.439237image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-10T06:03:38.530755image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 21
100.0%

디클로로메탄
Categorical

IMBALANCE 

Distinct2
Distinct (%)9.5%
Missing0
Missing (%)0.0%
Memory size300.0 B
0.0
20 
0.014
 
1

Length

Max length5
Median length3
Mean length3.0952381
Min length3

Unique

Unique1 ?
Unique (%)4.8%

Sample

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

Common Values

ValueCountFrequency (%)
0.0 20
95.2%
0.014 1
 
4.8%

Length

2024-01-10T06:03:38.635588image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-10T06:03:38.736027image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0.0 20
95.2%
0.014 1
 
4.8%

벤젠
Categorical

CONSTANT 

Distinct1
Distinct (%)4.8%
Missing0
Missing (%)0.0%
Memory size300.0 B
0
21 

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 21
100.0%

Length

2024-01-10T06:03:38.828537image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-10T06:03:38.911587image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 21
100.0%

톨루엔
Categorical

CONSTANT 

Distinct1
Distinct (%)4.8%
Missing0
Missing (%)0.0%
Memory size300.0 B
0
21 

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 21
100.0%

Length

2024-01-10T06:03:39.001256image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-10T06:03:39.088750image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 21
100.0%

에틸벤젠
Categorical

CONSTANT 

Distinct1
Distinct (%)4.8%
Missing0
Missing (%)0.0%
Memory size300.0 B
0
21 

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 21
100.0%

Length

2024-01-10T06:03:39.175630image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-10T06:03:39.262847image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 21
100.0%

크실렌
Categorical

CONSTANT 

Distinct1
Distinct (%)4.8%
Missing0
Missing (%)0.0%
Memory size300.0 B
0
21 

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 21
100.0%

Length

2024-01-10T06:03:39.349029image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-10T06:03:39.443923image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 21
100.0%

1_2-디브로모-3-클로로프로판
Categorical

CONSTANT 

Distinct1
Distinct (%)4.8%
Missing0
Missing (%)0.0%
Memory size300.0 B
0
21 

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 21
100.0%

Length

2024-01-10T06:03:39.539251image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-10T06:03:39.625615image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 21
100.0%

1_4-다이옥산
Categorical

CONSTANT 

Distinct1
Distinct (%)4.8%
Missing0
Missing (%)0.0%
Memory size300.0 B
0
21 

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 21
100.0%

Length

2024-01-10T06:03:39.714580image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-10T06:03:39.813999image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 21
100.0%

잔류염소
Real number (ℝ)

ZEROS 

Distinct19
Distinct (%)90.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.70142857
Minimum0
Maximum1.84
Zeros1
Zeros (%)4.8%
Negative0
Negative (%)0.0%
Memory size321.0 B
2024-01-10T06:03:39.917415image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.24
Q10.42
median0.6
Q30.92
95-th percentile1.43
Maximum1.84
Range1.84
Interquartile range (IQR)0.5

Descriptive statistics

Standard deviation0.42456196
Coefficient of variation (CV)0.60528182
Kurtosis1.4409006
Mean0.70142857
Median Absolute Deviation (MAD)0.27
Skewness0.99240119
Sum14.73
Variance0.18025286
MonotonicityNot monotonic
2024-01-10T06:03:40.045573image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
0.6 2
 
9.5%
0.3 2
 
9.5%
0.74 1
 
4.8%
0.49 1
 
4.8%
0.42 1
 
4.8%
0.38 1
 
4.8%
0.56 1
 
4.8%
0.93 1
 
4.8%
0.92 1
 
4.8%
0.75 1
 
4.8%
Other values (9) 9
42.9%
ValueCountFrequency (%)
0.0 1
4.8%
0.24 1
4.8%
0.3 2
9.5%
0.38 1
4.8%
0.42 1
4.8%
0.49 1
4.8%
0.56 1
4.8%
0.57 1
4.8%
0.59 1
4.8%
0.6 2
9.5%
ValueCountFrequency (%)
1.84 1
4.8%
1.43 1
4.8%
1.14 1
4.8%
1.06 1
4.8%
0.93 1
4.8%
0.92 1
4.8%
0.87 1
4.8%
0.75 1
4.8%
0.74 1
4.8%
0.6 2
9.5%

총트리할로메탄
Real number (ℝ)

ZEROS 

Distinct19
Distinct (%)90.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.034809524
Minimum0
Maximum0.091
Zeros1
Zeros (%)4.8%
Negative0
Negative (%)0.0%
Memory size321.0 B
2024-01-10T06:03:40.160176image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.002
Q10.016
median0.032
Q30.043
95-th percentile0.088
Maximum0.091
Range0.091
Interquartile range (IQR)0.027

Descriptive statistics

Standard deviation0.026053059
Coefficient of variation (CV)0.7484463
Kurtosis0.31558819
Mean0.034809524
Median Absolute Deviation (MAD)0.016
Skewness0.87251726
Sum0.731
Variance0.0006787619
MonotonicityNot monotonic
2024-01-10T06:03:40.259388image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
0.032 2
 
9.5%
0.03 2
 
9.5%
0.088 1
 
4.8%
0.036 1
 
4.8%
0.003 1
 
4.8%
0.011 1
 
4.8%
0.013 1
 
4.8%
0.027 1
 
4.8%
0.035 1
 
4.8%
0.0 1
 
4.8%
Other values (9) 9
42.9%
ValueCountFrequency (%)
0.0 1
4.8%
0.002 1
4.8%
0.003 1
4.8%
0.011 1
4.8%
0.013 1
4.8%
0.016 1
4.8%
0.022 1
4.8%
0.027 1
4.8%
0.03 2
9.5%
0.032 2
9.5%
ValueCountFrequency (%)
0.091 1
4.8%
0.088 1
4.8%
0.078 1
4.8%
0.057 1
4.8%
0.048 1
4.8%
0.043 1
4.8%
0.037 1
4.8%
0.036 1
4.8%
0.035 1
4.8%
0.032 2
9.5%

클로로포름
Real number (ℝ)

ZEROS 

Distinct15
Distinct (%)71.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.023047619
Minimum0
Maximum0.066
Zeros5
Zeros (%)23.8%
Negative0
Negative (%)0.0%
Memory size321.0 B
2024-01-10T06:03:40.356347image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10.005
median0.022
Q30.034
95-th percentile0.064
Maximum0.066
Range0.066
Interquartile range (IQR)0.029

Descriptive statistics

Standard deviation0.021034439
Coefficient of variation (CV)0.91265127
Kurtosis-0.37823754
Mean0.023047619
Median Absolute Deviation (MAD)0.016
Skewness0.70128729
Sum0.484
Variance0.00044244762
MonotonicityNot monotonic
2024-01-10T06:03:40.492838image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=15)
ValueCountFrequency (%)
0.0 5
23.8%
0.022 3
14.3%
0.064 1
 
4.8%
0.054 1
 
4.8%
0.066 1
 
4.8%
0.024 1
 
4.8%
0.005 1
 
4.8%
0.009 1
 
4.8%
0.034 1
 
4.8%
0.018 1
 
4.8%
Other values (5) 5
23.8%
ValueCountFrequency (%)
0.0 5
23.8%
0.005 1
 
4.8%
0.006 1
 
4.8%
0.009 1
 
4.8%
0.018 1
 
4.8%
0.022 3
14.3%
0.024 1
 
4.8%
0.026 1
 
4.8%
0.029 1
 
4.8%
0.034 1
 
4.8%
ValueCountFrequency (%)
0.066 1
 
4.8%
0.064 1
 
4.8%
0.054 1
 
4.8%
0.045 1
 
4.8%
0.038 1
 
4.8%
0.034 1
 
4.8%
0.029 1
 
4.8%
0.026 1
 
4.8%
0.024 1
 
4.8%
0.022 3
14.3%

브로모디클로로메탄
Real number (ℝ)

ZEROS 

Distinct12
Distinct (%)57.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.009047619
Minimum0
Maximum0.023
Zeros3
Zeros (%)14.3%
Negative0
Negative (%)0.0%
Memory size321.0 B
2024-01-10T06:03:40.613155image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10.004
median0.009
Q30.011
95-th percentile0.02
Maximum0.023
Range0.023
Interquartile range (IQR)0.007

Descriptive statistics

Standard deviation0.0066744003
Coefficient of variation (CV)0.73769687
Kurtosis-0.28831465
Mean0.009047619
Median Absolute Deviation (MAD)0.004
Skewness0.61218893
Sum0.19
Variance4.4547619 × 10-5
MonotonicityNot monotonic
2024-01-10T06:03:40.739453image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
0.0 3
14.3%
0.004 3
14.3%
0.019 2
9.5%
0.009 2
9.5%
0.01 2
9.5%
0.011 2
9.5%
0.005 2
9.5%
0.02 1
 
4.8%
0.008 1
 
4.8%
0.012 1
 
4.8%
Other values (2) 2
9.5%
ValueCountFrequency (%)
0.0 3
14.3%
0.004 3
14.3%
0.005 2
9.5%
0.007 1
 
4.8%
0.008 1
 
4.8%
0.009 2
9.5%
0.01 2
9.5%
0.011 2
9.5%
0.012 1
 
4.8%
0.019 2
9.5%
ValueCountFrequency (%)
0.023 1
4.8%
0.02 1
4.8%
0.019 2
9.5%
0.012 1
4.8%
0.011 2
9.5%
0.01 2
9.5%
0.009 2
9.5%
0.008 1
4.8%
0.007 1
4.8%
0.005 2
9.5%

디브로모클로로메탄
Categorical

Distinct5
Distinct (%)23.8%
Missing0
Missing (%)0.0%
Memory size300.0 B
0.0
13 
0.005
4 
0.004
2 
0.013
 
1
0.007
 
1

Length

Max length5
Median length3
Mean length3.7619048
Min length3

Unique

Unique2 ?
Unique (%)9.5%

Sample

1st row0.005
2nd row0.005
3rd row0.005
4th row0.0
5th row0.013

Common Values

ValueCountFrequency (%)
0.0 13
61.9%
0.005 4
 
19.0%
0.004 2
 
9.5%
0.013 1
 
4.8%
0.007 1
 
4.8%

Length

2024-01-10T06:03:40.877685image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-10T06:03:41.013460image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0.0 13
61.9%
0.005 4
 
19.0%
0.004 2
 
9.5%
0.013 1
 
4.8%
0.007 1
 
4.8%

디브로모아세토니트릴
Real number (ℝ)

ZEROS 

Distinct8
Distinct (%)38.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.00065714286
Minimum0
Maximum0.003
Zeros10
Zeros (%)47.6%
Negative0
Negative (%)0.0%
Memory size321.0 B
2024-01-10T06:03:41.124546image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0.0005
Q30.0009
95-th percentile0.0023
Maximum0.003
Range0.003
Interquartile range (IQR)0.0009

Descriptive statistics

Standard deviation0.00084176685
Coefficient of variation (CV)1.2809496
Kurtosis1.9238466
Mean0.00065714286
Median Absolute Deviation (MAD)0.0005
Skewness1.4584251
Sum0.0138
Variance7.0857143 × 10-7
MonotonicityNot monotonic
2024-01-10T06:03:41.227680image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
0.0 10
47.6%
0.0008 4
 
19.0%
0.0009 2
 
9.5%
0.0023 1
 
4.8%
0.0005 1
 
4.8%
0.003 1
 
4.8%
0.0016 1
 
4.8%
0.0014 1
 
4.8%
ValueCountFrequency (%)
0.0 10
47.6%
0.0005 1
 
4.8%
0.0008 4
 
19.0%
0.0009 2
 
9.5%
0.0014 1
 
4.8%
0.0016 1
 
4.8%
0.0023 1
 
4.8%
0.003 1
 
4.8%
ValueCountFrequency (%)
0.003 1
 
4.8%
0.0023 1
 
4.8%
0.0016 1
 
4.8%
0.0014 1
 
4.8%
0.0009 2
 
9.5%
0.0008 4
 
19.0%
0.0005 1
 
4.8%
0.0 10
47.6%

디클로로아세토니트릴
Real number (ℝ)

ZEROS 

Distinct9
Distinct (%)42.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.0010380952
Minimum0
Maximum0.0054
Zeros10
Zeros (%)47.6%
Negative0
Negative (%)0.0%
Memory size321.0 B
2024-01-10T06:03:41.327045image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0.0005
Q30.0014
95-th percentile0.0034
Maximum0.0054
Range0.0054
Interquartile range (IQR)0.0014

Descriptive statistics

Standard deviation0.0015018243
Coefficient of variation (CV)1.4467115
Kurtosis2.2225055
Mean0.0010380952
Median Absolute Deviation (MAD)0.0005
Skewness1.6280649
Sum0.0218
Variance2.2554762 × 10-6
MonotonicityNot monotonic
2024-01-10T06:03:41.428389image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
0.0 10
47.6%
0.0006 3
 
14.3%
0.0026 2
 
9.5%
0.0011 1
 
4.8%
0.0014 1
 
4.8%
0.003 1
 
4.8%
0.0005 1
 
4.8%
0.0054 1
 
4.8%
0.0034 1
 
4.8%
ValueCountFrequency (%)
0.0 10
47.6%
0.0005 1
 
4.8%
0.0006 3
 
14.3%
0.0011 1
 
4.8%
0.0014 1
 
4.8%
0.0026 2
 
9.5%
0.003 1
 
4.8%
0.0034 1
 
4.8%
0.0054 1
 
4.8%
ValueCountFrequency (%)
0.0054 1
 
4.8%
0.0034 1
 
4.8%
0.003 1
 
4.8%
0.0026 2
 
9.5%
0.0014 1
 
4.8%
0.0011 1
 
4.8%
0.0006 3
 
14.3%
0.0005 1
 
4.8%
0.0 10
47.6%

트리클로로아세토니트릴
Categorical

Distinct3
Distinct (%)14.3%
Missing0
Missing (%)0.0%
Memory size300.0 B
0.0
16 
0.0007
4 
0.0005
 
1

Length

Max length6
Median length3
Mean length3.7142857
Min length3

Unique

Unique1 ?
Unique (%)4.8%

Sample

1st row0.0
2nd row0.0005
3rd row0.0
4th row0.0
5th row0.0007

Common Values

ValueCountFrequency (%)
0.0 16
76.2%
0.0007 4
 
19.0%
0.0005 1
 
4.8%

Length

2024-01-10T06:03:41.552320image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-10T06:03:41.648950image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0.0 16
76.2%
0.0007 4
 
19.0%
0.0005 1
 
4.8%

할로아세틱에시드
Real number (ℝ)

ZEROS 

Distinct15
Distinct (%)71.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.01052381
Minimum0
Maximum0.041
Zeros6
Zeros (%)28.6%
Negative0
Negative (%)0.0%
Memory size321.0 B
2024-01-10T06:03:42.004726image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0.005
Q30.018
95-th percentile0.034
Maximum0.041
Range0.041
Interquartile range (IQR)0.018

Descriptive statistics

Standard deviation0.012452386
Coefficient of variation (CV)1.1832584
Kurtosis0.33247692
Mean0.01052381
Median Absolute Deviation (MAD)0.005
Skewness1.1175928
Sum0.221
Variance0.0001550619
MonotonicityNot monotonic
2024-01-10T06:03:42.095621image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=15)
ValueCountFrequency (%)
0.0 6
28.6%
0.001 2
 
9.5%
0.023 1
 
4.8%
0.005 1
 
4.8%
0.041 1
 
4.8%
0.018 1
 
4.8%
0.034 1
 
4.8%
0.013 1
 
4.8%
0.026 1
 
4.8%
0.002 1
 
4.8%
Other values (5) 5
23.8%
ValueCountFrequency (%)
0.0 6
28.6%
0.001 2
 
9.5%
0.002 1
 
4.8%
0.004 1
 
4.8%
0.005 1
 
4.8%
0.006 1
 
4.8%
0.01 1
 
4.8%
0.013 1
 
4.8%
0.015 1
 
4.8%
0.018 1
 
4.8%
ValueCountFrequency (%)
0.041 1
4.8%
0.034 1
4.8%
0.026 1
4.8%
0.023 1
4.8%
0.022 1
4.8%
0.018 1
4.8%
0.015 1
4.8%
0.013 1
4.8%
0.01 1
4.8%
0.006 1
4.8%

포름알데히드
Categorical

CONSTANT 

Distinct1
Distinct (%)4.8%
Missing0
Missing (%)0.0%
Memory size300.0 B
0
21 

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 21
100.0%

Length

2024-01-10T06:03:42.198420image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-10T06:03:42.279659image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 21
100.0%

경도
Real number (ℝ)

Distinct20
Distinct (%)95.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean90.333333
Minimum30
Maximum174
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size321.0 B
2024-01-10T06:03:42.356647image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum30
5-th percentile42
Q154
median84
Q3124
95-th percentile147
Maximum174
Range144
Interquartile range (IQR)70

Descriptive statistics

Standard deviation40.472624
Coefficient of variation (CV)0.44803643
Kurtosis-0.79443565
Mean90.333333
Median Absolute Deviation (MAD)30
Skewness0.44974218
Sum1897
Variance1638.0333
MonotonicityNot monotonic
2024-01-10T06:03:42.459740image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=20)
ValueCountFrequency (%)
54 2
 
9.5%
30 1
 
4.8%
139 1
 
4.8%
137 1
 
4.8%
84 1
 
4.8%
174 1
 
4.8%
112 1
 
4.8%
79 1
 
4.8%
45 1
 
4.8%
141 1
 
4.8%
Other values (10) 10
47.6%
ValueCountFrequency (%)
30 1
4.8%
42 1
4.8%
45 1
4.8%
49 1
4.8%
54 2
9.5%
65 1
4.8%
67 1
4.8%
79 1
4.8%
83 1
4.8%
84 1
4.8%
ValueCountFrequency (%)
174 1
4.8%
147 1
4.8%
141 1
4.8%
139 1
4.8%
137 1
4.8%
124 1
4.8%
112 1
4.8%
94 1
4.8%
92 1
4.8%
85 1
4.8%

과망간산칼륨소비량
Real number (ℝ)

ZEROS 

Distinct17
Distinct (%)81.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.4047619
Minimum0
Maximum6
Zeros2
Zeros (%)9.5%
Negative0
Negative (%)0.0%
Memory size321.0 B
2024-01-10T06:03:42.593820image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11.6
median2.4
Q33.3
95-th percentile4.4
Maximum6
Range6
Interquartile range (IQR)1.7

Descriptive statistics

Standard deviation1.444464
Coefficient of variation (CV)0.60066819
Kurtosis0.73962208
Mean2.4047619
Median Absolute Deviation (MAD)0.9
Skewness0.36546149
Sum50.5
Variance2.0864762
MonotonicityNot monotonic
2024-01-10T06:03:42.713963image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=17)
ValueCountFrequency (%)
3.5 3
14.3%
2.7 2
 
9.5%
0.0 2
 
9.5%
2.1 1
 
4.8%
2.8 1
 
4.8%
3.1 1
 
4.8%
0.6 1
 
4.8%
4.4 1
 
4.8%
6.0 1
 
4.8%
3.3 1
 
4.8%
Other values (7) 7
33.3%
ValueCountFrequency (%)
0.0 2
9.5%
0.6 1
4.8%
0.8 1
4.8%
1.4 1
4.8%
1.6 1
4.8%
1.9 1
4.8%
2.0 1
4.8%
2.1 1
4.8%
2.2 1
4.8%
2.4 1
4.8%
ValueCountFrequency (%)
6.0 1
 
4.8%
4.4 1
 
4.8%
3.5 3
14.3%
3.3 1
 
4.8%
3.1 1
 
4.8%
2.8 1
 
4.8%
2.7 2
9.5%
2.4 1
 
4.8%
2.2 1
 
4.8%
2.1 1
 
4.8%

냄새
Categorical

CONSTANT 

Distinct1
Distinct (%)4.8%
Missing0
Missing (%)0.0%
Memory size300.0 B
적합
21 

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 21
100.0%

Length

2024-01-10T06:03:42.850632image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-10T06:03:42.955146image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
적합 21
100.0%

맛
Categorical

CONSTANT 

Distinct1
Distinct (%)4.8%
Missing0
Missing (%)0.0%
Memory size300.0 B
적합
21 

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 21
100.0%

Length

2024-01-10T06:03:43.056421image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-10T06:03:43.152690image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
적합 21
100.0%

동
Categorical

Distinct5
Distinct (%)23.8%
Missing0
Missing (%)0.0%
Memory size300.0 B
0.0
15 
0.006
2 
0.004
2 
0.005
 
1
0.02
 
1

Length

Max length5
Median length3
Mean length3.5238095
Min length3

Unique

Unique2 ?
Unique (%)9.5%

Sample

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

Common Values

ValueCountFrequency (%)
0.0 15
71.4%
0.006 2
 
9.5%
0.004 2
 
9.5%
0.005 1
 
4.8%
0.02 1
 
4.8%

Length

2024-01-10T06:03:43.259407image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-10T06:03:43.375175image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0.0 15
71.4%
0.006 2
 
9.5%
0.004 2
 
9.5%
0.005 1
 
4.8%
0.02 1
 
4.8%

색도
Categorical

Distinct3
Distinct (%)14.3%
Missing0
Missing (%)0.0%
Memory size300.0 B
0
10 
1
10 
2
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)4.8%

Sample

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

Common Values

ValueCountFrequency (%)
0 10
47.6%
1 10
47.6%
2 1
 
4.8%

Length

2024-01-10T06:03:43.480293image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-10T06:03:43.582469image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 10
47.6%
1 10
47.6%
2 1
 
4.8%

세제
Categorical

CONSTANT 

Distinct1
Distinct (%)4.8%
Missing0
Missing (%)0.0%
Memory size300.0 B
0
21 

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 21
100.0%

Length

2024-01-10T06:03:43.678036image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-10T06:03:43.763125image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 21
100.0%

수소이온농도
Real number (ℝ)

Distinct10
Distinct (%)47.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.1952381
Minimum6.5
Maximum7.7
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size321.0 B
2024-01-10T06:03:43.844683image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum6.5
5-th percentile6.7
Q17
median7.2
Q37.4
95-th percentile7.6
Maximum7.7
Range1.2
Interquartile range (IQR)0.4

Descriptive statistics

Standard deviation0.33686227
Coefficient of variation (CV)0.046817391
Kurtosis-0.63241292
Mean7.1952381
Median Absolute Deviation (MAD)0.2
Skewness-0.33623538
Sum151.1
Variance0.11347619
MonotonicityNot monotonic
2024-01-10T06:03:43.941090image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
7.6 4
19.0%
7.3 3
14.3%
7.1 2
9.5%
7.0 2
9.5%
6.7 2
9.5%
6.9 2
9.5%
7.2 2
9.5%
7.4 2
9.5%
7.7 1
 
4.8%
6.5 1
 
4.8%
ValueCountFrequency (%)
6.5 1
 
4.8%
6.7 2
9.5%
6.9 2
9.5%
7.0 2
9.5%
7.1 2
9.5%
7.2 2
9.5%
7.3 3
14.3%
7.4 2
9.5%
7.6 4
19.0%
7.7 1
 
4.8%
ValueCountFrequency (%)
7.7 1
 
4.8%
7.6 4
19.0%
7.4 2
9.5%
7.3 3
14.3%
7.2 2
9.5%
7.1 2
9.5%
7.0 2
9.5%
6.9 2
9.5%
6.7 2
9.5%
6.5 1
 
4.8%

아연
Real number (ℝ)

ZEROS 

Distinct10
Distinct (%)47.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.026428571
Minimum0
Maximum0.397
Zeros7
Zeros (%)33.3%
Negative0
Negative (%)0.0%
Memory size321.0 B
2024-01-10T06:03:44.037146image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0.003
Q30.015
95-th percentile0.057
Maximum0.397
Range0.397
Interquartile range (IQR)0.015

Descriptive statistics

Standard deviation0.085958462
Coefficient of variation (CV)3.2524823
Kurtosis19.829805
Mean0.026428571
Median Absolute Deviation (MAD)0.003
Skewness4.4098376
Sum0.555
Variance0.0073888571
MonotonicityNot monotonic
2024-01-10T06:03:44.141148image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
0.0 7
33.3%
0.002 3
14.3%
0.003 3
14.3%
0.021 2
 
9.5%
0.02 1
 
4.8%
0.015 1
 
4.8%
0.057 1
 
4.8%
0.004 1
 
4.8%
0.397 1
 
4.8%
0.005 1
 
4.8%
ValueCountFrequency (%)
0.0 7
33.3%
0.002 3
14.3%
0.003 3
14.3%
0.004 1
 
4.8%
0.005 1
 
4.8%
0.015 1
 
4.8%
0.02 1
 
4.8%
0.021 2
 
9.5%
0.057 1
 
4.8%
0.397 1
 
4.8%
ValueCountFrequency (%)
0.397 1
 
4.8%
0.057 1
 
4.8%
0.021 2
 
9.5%
0.02 1
 
4.8%
0.015 1
 
4.8%
0.005 1
 
4.8%
0.004 1
 
4.8%
0.003 3
14.3%
0.002 3
14.3%
0.0 7
33.3%

염소이온
Real number (ℝ)

UNIQUE 

Distinct21
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean37.047619
Minimum13.8
Maximum90.3
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size321.0 B
2024-01-10T06:03:44.253619image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum13.8
5-th percentile14.3
Q119.9
median30.1
Q344.1
95-th percentile77
Maximum90.3
Range76.5
Interquartile range (IQR)24.2

Descriptive statistics

Standard deviation21.829077
Coefficient of variation (CV)0.58921674
Kurtosis0.53889
Mean37.047619
Median Absolute Deviation (MAD)10.8
Skewness1.1501997
Sum778
Variance476.50862
MonotonicityNot monotonic
2024-01-10T06:03:44.361087image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
20.5 1
 
4.8%
34.6 1
 
4.8%
77.0 1
 
4.8%
44.1 1
 
4.8%
61.0 1
 
4.8%
14.3 1
 
4.8%
29.8 1
 
4.8%
13.8 1
 
4.8%
18.6 1
 
4.8%
90.3 1
 
4.8%
Other values (11) 11
52.4%
ValueCountFrequency (%)
13.8 1
4.8%
14.3 1
4.8%
17.8 1
4.8%
18.6 1
4.8%
19.3 1
4.8%
19.9 1
4.8%
20.5 1
4.8%
22.2 1
4.8%
27.6 1
4.8%
29.8 1
4.8%
ValueCountFrequency (%)
90.3 1
4.8%
77.0 1
4.8%
72.2 1
4.8%
61.0 1
4.8%
49.4 1
4.8%
44.1 1
4.8%
40.3 1
4.8%
39.5 1
4.8%
35.7 1
4.8%
34.6 1
4.8%

증발잔류물
Real number (ℝ)

ZEROS 

Distinct17
Distinct (%)81.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean141.09524
Minimum0
Maximum323
Zeros4
Zeros (%)19.0%
Negative0
Negative (%)0.0%
Memory size321.0 B
2024-01-10T06:03:44.469677image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q182
median121
Q3197
95-th percentile312
Maximum323
Range323
Interquartile range (IQR)115

Descriptive statistics

Standard deviation102.64059
Coefficient of variation (CV)0.72745608
Kurtosis-0.79108464
Mean141.09524
Median Absolute Deviation (MAD)57
Skewness0.27838357
Sum2963
Variance10535.09
MonotonicityNot monotonic
2024-01-10T06:03:44.568629image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=17)
ValueCountFrequency (%)
0 4
19.0%
173 2
 
9.5%
95 1
 
4.8%
312 1
 
4.8%
296 1
 
4.8%
197 1
 
4.8%
323 1
 
4.8%
91 1
 
4.8%
178 1
 
4.8%
80 1
 
4.8%
Other values (7) 7
33.3%
ValueCountFrequency (%)
0 4
19.0%
80 1
 
4.8%
82 1
 
4.8%
90 1
 
4.8%
91 1
 
4.8%
95 1
 
4.8%
107 1
 
4.8%
121 1
 
4.8%
161 1
 
4.8%
173 2
9.5%
ValueCountFrequency (%)
323 1
4.8%
312 1
4.8%
296 1
4.8%
269 1
4.8%
215 1
4.8%
197 1
4.8%
178 1
4.8%
173 2
9.5%
161 1
4.8%
121 1
4.8%

철
Categorical

CONSTANT 

Distinct1
Distinct (%)4.8%
Missing0
Missing (%)0.0%
Memory size300.0 B
0
21 

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 21
100.0%

Length

2024-01-10T06:03:44.675283image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-10T06:03:44.760248image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 21
100.0%

망간
Categorical

IMBALANCE 

Distinct2
Distinct (%)9.5%
Missing0
Missing (%)0.0%
Memory size300.0 B
0.0
20 
0.014
 
1

Length

Max length5
Median length3
Mean length3.0952381
Min length3

Unique

Unique1 ?
Unique (%)4.8%

Sample

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

Common Values

ValueCountFrequency (%)
0.0 20
95.2%
0.014 1
 
4.8%

Length

2024-01-10T06:03:44.868723image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-10T06:03:44.967190image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0.0 20
95.2%
0.014 1
 
4.8%

탁도
Real number (ℝ)

Distinct11
Distinct (%)52.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.10380952
Minimum0.05
Maximum0.32
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size321.0 B
2024-01-10T06:03:45.050288image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0.05
5-th percentile0.05
Q10.07
median0.08
Q30.11
95-th percentile0.22
Maximum0.32
Range0.27
Interquartile range (IQR)0.04

Descriptive statistics

Standard deviation0.064921198
Coefficient of variation (CV)0.62538768
Kurtosis5.7471238
Mean0.10380952
Median Absolute Deviation (MAD)0.02
Skewness2.2970419
Sum2.18
Variance0.0042147619
MonotonicityNot monotonic
2024-01-10T06:03:45.175179image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
0.07 4
19.0%
0.06 3
14.3%
0.12 2
9.5%
0.08 2
9.5%
0.09 2
9.5%
0.11 2
9.5%
0.05 2
9.5%
0.22 1
 
4.8%
0.1 1
 
4.8%
0.18 1
 
4.8%
ValueCountFrequency (%)
0.05 2
9.5%
0.06 3
14.3%
0.07 4
19.0%
0.08 2
9.5%
0.09 2
9.5%
0.1 1
 
4.8%
0.11 2
9.5%
0.12 2
9.5%
0.18 1
 
4.8%
0.22 1
 
4.8%
ValueCountFrequency (%)
0.32 1
 
4.8%
0.22 1
 
4.8%
0.18 1
 
4.8%
0.12 2
9.5%
0.11 2
9.5%
0.1 1
 
4.8%
0.09 2
9.5%
0.08 2
9.5%
0.07 4
19.0%
0.06 3
14.3%

황산이온
Real number (ℝ)

Distinct16
Distinct (%)76.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean17.047619
Minimum3
Maximum53
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size321.0 B
2024-01-10T06:03:45.269207image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3
5-th percentile4
Q110
median13
Q321
95-th percentile38
Maximum53
Range50
Interquartile range (IQR)11

Descriptive statistics

Standard deviation12.113943
Coefficient of variation (CV)0.71059443
Kurtosis2.8786281
Mean17.047619
Median Absolute Deviation (MAD)4
Skewness1.5873567
Sum358
Variance146.74762
MonotonicityNot monotonic
2024-01-10T06:03:45.369162image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
17 2
 
9.5%
9 2
 
9.5%
11 2
 
9.5%
21 2
 
9.5%
10 2
 
9.5%
13 1
 
4.8%
22 1
 
4.8%
53 1
 
4.8%
5 1
 
4.8%
23 1
 
4.8%
Other values (6) 6
28.6%
ValueCountFrequency (%)
3 1
4.8%
4 1
4.8%
5 1
4.8%
9 2
9.5%
10 2
9.5%
11 2
9.5%
12 1
4.8%
13 1
4.8%
16 1
4.8%
17 2
9.5%
ValueCountFrequency (%)
53 1
4.8%
38 1
4.8%
33 1
4.8%
23 1
4.8%
22 1
4.8%
21 2
9.5%
17 2
9.5%
16 1
4.8%
13 1
4.8%
12 1
4.8%

알루미늄
Categorical

Distinct3
Distinct (%)14.3%
Missing0
Missing (%)0.0%
Memory size300.0 B
0.0
16 
0.02
3 
0.04
2 

Length

Max length4
Median length3
Mean length3.2380952
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0.0 16
76.2%
0.02 3
 
14.3%
0.04 2
 
9.5%

Length

2024-01-10T06:03:45.478077image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-10T06:03:45.581617image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0.0 16
76.2%
0.02 3
 
14.3%
0.04 2
 
9.5%

클로랄하이드레이트
Real number (ℝ)

ZEROS 

Distinct8
Distinct (%)38.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.0011619048
Minimum0
Maximum0.0088
Zeros13
Zeros (%)61.9%
Negative0
Negative (%)0.0%
Memory size321.0 B
2024-01-10T06:03:45.674126image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30.0007
95-th percentile0.005
Maximum0.0088
Range0.0088
Interquartile range (IQR)0.0007

Descriptive statistics

Standard deviation0.0023107307
Coefficient of variation (CV)1.9887436
Kurtosis5.4009388
Mean0.0011619048
Median Absolute Deviation (MAD)0
Skewness2.3416198
Sum0.0244
Variance5.3394762 × 10-6
MonotonicityNot monotonic
2024-01-10T06:03:45.765748image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
0.0 13
61.9%
0.0005 2
 
9.5%
0.0007 1
 
4.8%
0.0011 1
 
4.8%
0.0037 1
 
4.8%
0.005 1
 
4.8%
0.0088 1
 
4.8%
0.0041 1
 
4.8%
ValueCountFrequency (%)
0.0 13
61.9%
0.0005 2
 
9.5%
0.0007 1
 
4.8%
0.0011 1
 
4.8%
0.0037 1
 
4.8%
0.0041 1
 
4.8%
0.005 1
 
4.8%
0.0088 1
 
4.8%
ValueCountFrequency (%)
0.0088 1
 
4.8%
0.005 1
 
4.8%
0.0041 1
 
4.8%
0.0037 1
 
4.8%
0.0011 1
 
4.8%
0.0007 1
 
4.8%
0.0005 2
 
9.5%
0.0 13
61.9%

Sample

정수장명관리기관명시도명시군구명관리기관전화번호채수일자데이터기준일자검사기관명일반세균총대장균군대장균/분원성대장균군납불소비소셀레늄수은시안크롬암모니아성질소질산성질소카드뮴붕소브롬산염우라늄페놀다이아지논파라티온페니트로티온카바릴1_1_1-트리클로로에탄테트라클로로에틸렌트리클로로에틸렌사염화탄소1_1-디클로로에틸렌디클로로메탄벤젠톨루엔에틸벤젠크실렌1_2-디브로모-3-클로로프로판1_4-다이옥산잔류염소총트리할로메탄클로로포름브로모디클로로메탄디브로모클로로메탄디브로모아세토니트릴디클로로아세토니트릴트리클로로아세토니트릴할로아세틱에시드포름알데히드경도과망간산칼륨소비량냄새맛동색도세제수소이온농도아연염소이온증발잔류물철망간탁도황산이온알루미늄클로랄하이드레이트
0덕산충청남도 예산군충청남도예산군041-339-8331202208032022-08-24충남-보건환경연구원0불검출불검출00.00000000.300.010.00.000000000000.00000000.740.0880.0640.0190.0050.00.00.00.00302.1적합적합0.0007.10.020.59500.00.0740.020.0
1병천충청남도 천안시충청남도천안시041-521-3176202208032022-09-13천안시 맑은물 사업본부0불검출불검출00.20000001.200.020.0008<NA>00000000000.00000000.30.0780.0540.0190.0050.00230.00110.00050.00853.5적합적합0.0007.60.00234.6000.00.12160.00.0
2예산충청남도 예산군충청남도예산군041-339-8315202208032022-08-24충남-보건환경연구원0불검출불검출00.00000000.000.030.00.000000000000.00000001.430.0910.0660.020.0050.00.00.00.00832.4적합적합0.0007.00.039.521500.00.0690.00.0
3옥룡충청남도 공주시충청남도공주시041-840-8631202208042022-09-08(주)맑은물분석연구원0불검출불검출00.00000001.200.010.0<NA>00000000000.00000000.240.0320.0240.0080.00.00.00140.00.0230542.7적합적합0.0106.70.019.99000.00.22110.00.0
4용곡충청남도 천안시충청남도천안시041-521-3176202208032022-09-13천안시 맑은물 사업본부0불검출불검출00.00000002.700.020.0<NA>00000000000.00000000.870.030.0050.0090.0130.00050.00.00070.00501471.6적합적합0.0007.60.0249.4000.00.06380.020.0
5유구충청남도 공주시충청남도공주시041-840-8631202208042022-09-08(주)맑은물분석연구원0불검출불검출00.00000002.000.020.0<NA>00000000000.00000000.00.0370.0220.0120.00.0030.0030.00.0410943.5적합적합0.006106.90.02135.717300.00.1120.00.0007
6합덕충청남도 당진시충청남도당진시041-360-6481202208082022-09-01(주)맑은물분석연구원0불검출불검출00.80000003.800.010.00070.000000000000.0140000000.30.0160.0090.0230.00.00.00.00.001240.8적합적합0.0107.60.00372.226900.00.12210.00.0011
7덕산충청남도 예산군충청남도예산군041-339-8331202210072022-10-28충남-보건환경연구원0불검출불검출00.00000001.100.00.00070.000000000000.00000001.840.0430.0340.0090.00.00.00.00.00421.4적합적합0.0007.30.00322.28200.00.0830.00.0
8병천충청남도 천안시충청남도천안시041-521-3176202210052022-11-08천안시 맑은물 사업본부0불검출불검출00.170000002.400.00.0006<NA>00000000000.00000000.60.0320.0180.010.0040.00.00060.00.0180922.2적합적합0.004007.70.00227.6000.00.09170.00.0
9예산충청남도 예산군충청남도예산군041-339-8315202210072022-10-28충남-보건환경연구원0불검출불검출00.00000000.400.020.00.000000000000.00000001.060.0480.0380.010.00.00.00.00.00652.0적합적합0.0007.30.019.312100.00.0790.00.0
정수장명관리기관명시도명시군구명관리기관전화번호채수일자데이터기준일자검사기관명일반세균총대장균군대장균/분원성대장균군납불소비소셀레늄수은시안크롬암모니아성질소질산성질소카드뮴붕소브롬산염우라늄페놀다이아지논파라티온페니트로티온카바릴1_1_1-트리클로로에탄테트라클로로에틸렌트리클로로에틸렌사염화탄소1_1-디클로로에틸렌디클로로메탄벤젠톨루엔에틸벤젠크실렌1_2-디브로모-3-클로로프로판1_4-다이옥산잔류염소총트리할로메탄클로로포름브로모디클로로메탄디브로모클로로메탄디브로모아세토니트릴디클로로아세토니트릴트리클로로아세토니트릴할로아세틱에시드포름알데히드경도과망간산칼륨소비량냄새맛동색도세제수소이온농도아연염소이온증발잔류물철망간탁도황산이온알루미늄클로랄하이드레이트
11용곡충청남도 천안시충청남도천안시041-521-3176202210052022-11-08천안시 맑은물 사업본부0불검출불검출00.00000002.300.030.0<NA>00000000000.00000000.590.0220.0060.0070.0070.00.00050.00.01301391.9적합적합0.0007.30.02140.3000.00.09330.040.0
12유구충청남도 공주시충청남도공주시041-840-8631202210052022-11-07(주)맑은물분석연구원0불검출불검출00.320000001.400.020.0<NA>00000000000.00000000.60.0360.0220.0110.00.00080.00260.00.0260672.8적합적합0.0107.20.05730.116100.00.11130.00.005
13합덕충청남도 당진시충청남도당진시041-360-6481202210122022-10-31한울생명과학(주)0불검출불검출00.580000004.500.00.000810.300000000000.00000000.490.0020.00.00.00.00080.00.00.00101413.3적합적합0.006107.00.090.331200.0140.05230.00.0
14덕산충청남도 예산군충청남도예산군041-339-8331202212082022-12-27충남-보건환경연구원0불검출불검출00.00000000.900.010.00.000000000000.00000001.140.00.00.00.00.00160.00540.00.0020450.0적합적합0.0007.20.00318.68000.00.0750.00.0088
15병천충청남도 천안시충청남도천안시041-521-3176202212052023-01-10천안시 맑은물 사업본부0불검출불검출00.00000001.200.00.0007<NA>00000000000.00000000.750.0350.0290.0050.00.00090.00060.00070.0220796.0적합적합0.005207.40.013.817300.00.08110.040.0005
16예산충청남도 예산군충청남도예산군041-339-8315202212082022-12-27충남-보건환경연구원0불검출불검출00.00000003.200.030.00.000000000000.00000000.920.0270.0220.0050.00.00140.00340.00.00101120.0적합적합0.0007.60.00429.817800.00.07210.00.0041
17옥룡충청남도 공주시충청남도공주시041-840-8631202212062023-01-09(주)맑은물분석연구원0불검출불검출00.00000001.300.010.0<NA>00000000000.00000000.930.030.0260.0040.00.00.00.00.0040542.7적합적합0.02106.90.39714.39100.00.18100.00.0
18용곡충청남도 천안시충청남도천안시041-521-3176202212052023-01-10천안시 맑은물 사업본부0불검출불검출00.00000002.600.030.0<NA>00000000000.00000000.560.0130.00.0040.0050.00090.00060.00070.01501744.4적합적합0.004107.40.061.032300.00.05530.020.0005
19유구충청남도 공주시충청남도공주시041-840-8631202212062023-01-09(주)맑은물분석연구원0불검출불검출00.440000001.500.010.0008<NA>00000000000.00000000.380.0110.00.0040.0040.00.00.00.0060840.6적합적합0.0106.50.00544.119700.00.32170.00.0
20합덕충청남도 당진시충청남도당진시041-360-6481202212052022-12-26한울생명과학(주)0불검출불검출00.00000004.300.00.09.600000000000.00000000.420.0030.00.00.00.00080.00.00.0101373.1적합적합0.0107.10.00277.029600.00.06220.00.0