Overview

Dataset statistics

Number of variables29
Number of observations100
Missing cells240
Missing cells (%)8.3%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory25.4 KiB
Average record size in memory260.3 B

Variable types

Categorical8
Numeric21

Dataset

Description부산시 해양환경 분기별 점검 현황에 대한 데이터로 조사정점, pH, 총대장균군, WQI, 등급 등의 항목을 제공합니다.* 항목별 상세단위 정보 유의사항에 기재
Author부산광역시
URLhttps://www.data.go.kr/data/3077374/fileData.do

Alerts

용존무기인농도 점수 is highly imbalanced (57.6%)Imbalance
식물플랑크톤농도 점수 is highly imbalanced (86.0%)Imbalance
구리 has 40 (40.0%) missing valuesMissing
납 has 40 (40.0%) missing valuesMissing
아연 has 40 (40.0%) missing valuesMissing
비소 has 40 (40.0%) missing valuesMissing
카드뮴 has 40 (40.0%) missing valuesMissing
니켈 has 40 (40.0%) missing valuesMissing
용존무기질 질소농도 has unique valuesUnique
구리 has 12 (12.0%) zerosZeros
납 has 29 (29.0%) zerosZeros
비소 has 23 (23.0%) zerosZeros
카드뮴 has 25 (25.0%) zerosZeros
니켈 has 17 (17.0%) zerosZeros

Reproduction

Analysis started2023-12-12 05:29:03.900943
Analysis finished2023-12-12 05:29:04.453126
Duration0.55 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

2022년 분기
Categorical

Distinct4
Distinct (%)4.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
1
30 
3
30 
2
20 
4
20 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
1 30
30.0%
3 30
30.0%
2 20
20.0%
4 20
20.0%

Length

2023-12-12T14:29:04.521317image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T14:29:04.632946image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 30
30.0%
3 30
30.0%
2 20
20.0%
4 20
20.0%

조사정점
Categorical

Distinct30
Distinct (%)30.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
남외항
 
4
부산대교
 
4
해운대해수욕장
 
4
해운대
 
4
수영만
 
4
Other values (25)
80 

Length

Max length7
Median length6
Mean length3.72
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row고리
2nd row일광
3rd row대변
4th row해운대해수욕장
5th row해운대

Common Values

ValueCountFrequency (%)
남외항 4
 
4.0%
부산대교 4
 
4.0%
해운대해수욕장 4
 
4.0%
해운대 4
 
4.0%
수영만 4
 
4.0%
민락동 4
 
4.0%
북외항 4
 
4.0%
남천만 4
 
4.0%
이기대 4
 
4.0%
동천하류 4
 
4.0%
Other values (20) 60
60.0%

Length

2023-12-12T14:29:04.784552image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
남외항 4
 
4.0%
자갈치시장 4
 
4.0%
송도해수욕장 4
 
4.0%
다대포어시장 4
 
4.0%
다대포항 4
 
4.0%
발전소앞 4
 
4.0%
부산대교 4
 
4.0%
남항 4
 
4.0%
북내항 4
 
4.0%
5부두 4
 
4.0%
Other values (20) 60
60.0%

수소이온농도
Real number (ℝ)

Distinct50
Distinct (%)50.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8.1864
Minimum7.54
Maximum8.48
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-12T14:29:04.928836image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum7.54
5-th percentile7.849
Q18.11
median8.19
Q38.305
95-th percentile8.41
Maximum8.48
Range0.94
Interquartile range (IQR)0.195

Descriptive statistics

Standard deviation0.17726041
Coefficient of variation (CV)0.021653035
Kurtosis2.5574171
Mean8.1864
Median Absolute Deviation (MAD)0.1
Skewness-1.2404678
Sum818.64
Variance0.031421253
MonotonicityNot monotonic
2023-12-12T14:29:05.100138image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
8.11 8
 
8.0%
8.14 6
 
6.0%
8.38 4
 
4.0%
8.29 4
 
4.0%
8.19 4
 
4.0%
8.34 4
 
4.0%
8.09 4
 
4.0%
8.27 3
 
3.0%
8.24 3
 
3.0%
8.39 3
 
3.0%
Other values (40) 57
57.0%
ValueCountFrequency (%)
7.54 1
1.0%
7.56 1
1.0%
7.67 1
1.0%
7.78 1
1.0%
7.83 1
1.0%
7.85 1
1.0%
7.92 1
1.0%
7.95 1
1.0%
7.97 1
1.0%
7.98 1
1.0%
ValueCountFrequency (%)
8.48 1
 
1.0%
8.46 1
 
1.0%
8.45 1
 
1.0%
8.42 1
 
1.0%
8.41 2
2.0%
8.4 1
 
1.0%
8.39 3
3.0%
8.38 4
4.0%
8.37 2
2.0%
8.35 1
 
1.0%

총대장균군
Real number (ℝ)

Distinct42
Distinct (%)42.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1222.194
Minimum1.8
Maximum24000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-12T14:29:05.290097image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1.8
5-th percentile1.8
Q122
median94.5
Q3822.5
95-th percentile4900
Maximum24000
Range23998.2
Interquartile range (IQR)800.5

Descriptive statistics

Standard deviation3207.0587
Coefficient of variation (CV)2.6240177
Kurtosis28.115519
Mean1222.194
Median Absolute Deviation (MAD)92.5
Skewness4.8285803
Sum122219.4
Variance10285225
MonotonicityNot monotonic
2023-12-12T14:29:05.503552image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=42)
ValueCountFrequency (%)
1.8 6
 
6.0%
4.5 4
 
4.0%
79.0 4
 
4.0%
2.0 4
 
4.0%
230.0 4
 
4.0%
330.0 4
 
4.0%
45.0 4
 
4.0%
170.0 4
 
4.0%
22.0 4
 
4.0%
78.0 3
 
3.0%
Other values (32) 59
59.0%
ValueCountFrequency (%)
1.8 6
6.0%
2.0 4
4.0%
4.0 2
 
2.0%
4.5 4
4.0%
7.8 2
 
2.0%
11.0 2
 
2.0%
13.0 1
 
1.0%
17.0 2
 
2.0%
20.0 1
 
1.0%
22.0 4
4.0%
ValueCountFrequency (%)
24000.0 1
 
1.0%
13000.0 1
 
1.0%
11000.0 2
2.0%
4900.0 3
3.0%
4600.0 1
 
1.0%
3900.0 1
 
1.0%
3300.0 3
3.0%
2300.0 2
2.0%
2200.0 1
 
1.0%
1800.0 1
 
1.0%

수질지수
Real number (ℝ)

Distinct26
Distinct (%)26.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean28.93
Minimum20
Maximum69
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-12T14:29:05.662933image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20
5-th percentile20
Q120
median26
Q334
95-th percentile55.2
Maximum69
Range49
Interquartile range (IQR)14

Descriptive statistics

Standard deviation11.663857
Coefficient of variation (CV)0.40317514
Kurtosis2.5645177
Mean28.93
Median Absolute Deviation (MAD)6
Skewness1.6731576
Sum2893
Variance136.04556
MonotonicityNot monotonic
2023-12-12T14:29:05.822032image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=26)
ValueCountFrequency (%)
20 41
41.0%
30 8
 
8.0%
26 8
 
8.0%
29 5
 
5.0%
36 4
 
4.0%
22 4
 
4.0%
34 3
 
3.0%
38 3
 
3.0%
23 2
 
2.0%
65 2
 
2.0%
Other values (16) 20
20.0%
ValueCountFrequency (%)
20 41
41.0%
22 4
 
4.0%
23 2
 
2.0%
24 1
 
1.0%
26 8
 
8.0%
28 2
 
2.0%
29 5
 
5.0%
30 8
 
8.0%
32 2
 
2.0%
33 1
 
1.0%
ValueCountFrequency (%)
69 1
1.0%
65 2
2.0%
64 1
1.0%
59 1
1.0%
55 1
1.0%
51 1
1.0%
48 2
2.0%
46 1
1.0%
43 1
1.0%
42 1
1.0%

등급
Categorical

Distinct5
Distinct (%)5.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
I
47 
II
27 
III
17 
IV
5 
V
 
4

Length

Max length3
Median length1
Mean length1.66
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowI
2nd rowI
3rd rowI
4th rowI
5th rowII

Common Values

ValueCountFrequency (%)
I 47
47.0%
II 27
27.0%
III 17
 
17.0%
IV 5
 
5.0%
V 4
 
4.0%

Length

2023-12-12T14:29:05.972991image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T14:29:06.109273image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 47
47.0%
ii 27
27.0%
iii 17
 
17.0%
iv 5
 
5.0%
v 4
 
4.0%

용존무기질 질소농도 점수
Categorical

Distinct5
Distinct (%)5.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
1
69 
5
21 
2
 
5
3
 
3
4
 
2

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1
2nd row1
3rd row1
4th row1
5th row4

Common Values

ValueCountFrequency (%)
1 69
69.0%
5 21
 
21.0%
2 5
 
5.0%
3 3
 
3.0%
4 2
 
2.0%

Length

2023-12-12T14:29:06.258723image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T14:29:06.379569image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 69
69.0%
5 21
 
21.0%
2 5
 
5.0%
3 3
 
3.0%
4 2
 
2.0%

용존무기질 질소농도
Real number (ℝ)

UNIQUE 

Distinct100
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean312.288
Minimum8.7
Maximum4185.5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-12T14:29:06.516011image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum8.7
5-th percentile22.96
Q169.575
median120.05
Q3253.175
95-th percentile1054.825
Maximum4185.5
Range4176.8
Interquartile range (IQR)183.6

Descriptive statistics

Standard deviation628.86403
Coefficient of variation (CV)2.013731
Kurtosis24.673392
Mean312.288
Median Absolute Deviation (MAD)66.4
Skewness4.6938074
Sum31228.8
Variance395469.97
MonotonicityNot monotonic
2023-12-12T14:29:06.680658image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
44.9 1
 
1.0%
117.2 1
 
1.0%
52.7 1
 
1.0%
92.3 1
 
1.0%
104.8 1
 
1.0%
78.9 1
 
1.0%
69.5 1
 
1.0%
39.9 1
 
1.0%
269.6 1
 
1.0%
237.0 1
 
1.0%
Other values (90) 90
90.0%
ValueCountFrequency (%)
8.7 1
1.0%
9.3 1
1.0%
12.7 1
1.0%
14.2 1
1.0%
20.3 1
1.0%
23.1 1
1.0%
24.8 1
1.0%
25.8 1
1.0%
32.1 1
1.0%
35.9 1
1.0%
ValueCountFrequency (%)
4185.5 1
1.0%
3895.0 1
1.0%
1978.1 1
1.0%
1855.3 1
1.0%
1173.1 1
1.0%
1048.6 1
1.0%
1021.2 1
1.0%
887.9 1
1.0%
644.8 1
1.0%
624.6 1
1.0%

용존무기인농도 점수
Categorical

IMBALANCE 

Distinct4
Distinct (%)4.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
1
84 
5
10 
4
 
3
3
 
3

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
1 84
84.0%
5 10
 
10.0%
4 3
 
3.0%
3 3
 
3.0%

Length

2023-12-12T14:29:06.894375image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T14:29:07.010616image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 84
84.0%
5 10
 
10.0%
4 3
 
3.0%
3 3
 
3.0%

용존무기인농도
Real number (ℝ)

Distinct92
Distinct (%)92.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean26.165
Minimum3.1
Maximum185.2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-12T14:29:07.166399image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3.1
5-th percentile5.82
Q111.475
median19.15
Q325.8
95-th percentile85.17
Maximum185.2
Range182.1
Interquartile range (IQR)14.325

Descriptive statistics

Standard deviation30.783826
Coefficient of variation (CV)1.1765269
Kurtosis14.567224
Mean26.165
Median Absolute Deviation (MAD)7.55
Skewness3.6446965
Sum2616.5
Variance947.64391
MonotonicityNot monotonic
2023-12-12T14:29:07.354369image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
19.1 3
 
3.0%
10.5 3
 
3.0%
25.8 2
 
2.0%
8.3 2
 
2.0%
24.6 2
 
2.0%
11.7 2
 
2.0%
11.4 1
 
1.0%
13.4 1
 
1.0%
11.0 1
 
1.0%
10.2 1
 
1.0%
Other values (82) 82
82.0%
ValueCountFrequency (%)
3.1 1
1.0%
3.7 1
1.0%
3.8 1
1.0%
4.1 1
1.0%
4.3 1
1.0%
5.9 1
1.0%
6.3 1
1.0%
6.9 1
1.0%
7.0 1
1.0%
7.1 1
1.0%
ValueCountFrequency (%)
185.2 1
1.0%
177.4 1
1.0%
148.8 1
1.0%
106.9 1
1.0%
99.8 1
1.0%
84.4 1
1.0%
58.6 1
1.0%
48.0 1
1.0%
44.6 1
1.0%
43.8 1
1.0%

식물플랑크톤농도 점수
Categorical

IMBALANCE 

Distinct3
Distinct (%)3.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
1
97 
3
 
2
4
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)1.0%

Sample

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

Common Values

ValueCountFrequency (%)
1 97
97.0%
3 2
 
2.0%
4 1
 
1.0%

Length

2023-12-12T14:29:07.515984image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T14:29:07.626670image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 97
97.0%
3 2
 
2.0%
4 1
 
1.0%

식물플랑크톤농도
Real number (ℝ)

Distinct87
Distinct (%)87.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.772
Minimum0.07
Maximum8.38
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-12T14:29:07.782776image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0.07
5-th percentile0.16
Q10.52
median1.25
Q32.4475
95-th percentile4.9085
Maximum8.38
Range8.31
Interquartile range (IQR)1.9275

Descriptive statistics

Standard deviation1.7275217
Coefficient of variation (CV)0.97489939
Kurtosis3.3247098
Mean1.772
Median Absolute Deviation (MAD)0.77
Skewness1.7374137
Sum177.2
Variance2.9843313
MonotonicityNot monotonic
2023-12-12T14:29:07.952037image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.16 3
 
3.0%
0.68 3
 
3.0%
0.52 2
 
2.0%
1.15 2
 
2.0%
1.36 2
 
2.0%
1.34 2
 
2.0%
0.2 2
 
2.0%
1.49 2
 
2.0%
3.65 2
 
2.0%
1.77 2
 
2.0%
Other values (77) 78
78.0%
ValueCountFrequency (%)
0.07 1
 
1.0%
0.1 1
 
1.0%
0.14 1
 
1.0%
0.16 3
3.0%
0.18 2
2.0%
0.2 2
2.0%
0.21 1
 
1.0%
0.23 1
 
1.0%
0.24 1
 
1.0%
0.26 1
 
1.0%
ValueCountFrequency (%)
8.38 1
1.0%
7.85 1
1.0%
7.63 1
1.0%
5.09 1
1.0%
5.07 1
1.0%
4.9 1
1.0%
4.82 1
1.0%
4.74 1
1.0%
4.37 1
1.0%
4.34 1
1.0%

저층산소포화도 점수
Categorical

Distinct4
Distinct (%)4.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
1
74 
2
21 
3
 
3
4
 
2

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
1 74
74.0%
2 21
 
21.0%
3 3
 
3.0%
4 2
 
2.0%

Length

2023-12-12T14:29:08.094429image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T14:29:08.194010image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 74
74.0%
2 21
 
21.0%
3 3
 
3.0%
4 2
 
2.0%

저층산소포화도
Real number (ℝ)

Distinct82
Distinct (%)82.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean95.731
Minimum57.6
Maximum116
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-12T14:29:08.371243image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum57.6
5-th percentile81.09
Q189.85
median97.7
Q3101.2
95-th percentile108.75
Maximum116
Range58.4
Interquartile range (IQR)11.35

Descriptive statistics

Standard deviation9.5618845
Coefficient of variation (CV)0.099882844
Kurtosis2.7459339
Mean95.731
Median Absolute Deviation (MAD)5.45
Skewness-1.2058004
Sum9573.1
Variance91.429635
MonotonicityNot monotonic
2023-12-12T14:29:08.552633image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
99.3 3
 
3.0%
98.8 3
 
3.0%
106.9 2
 
2.0%
100.5 2
 
2.0%
95.9 2
 
2.0%
90.3 2
 
2.0%
89.3 2
 
2.0%
86.6 2
 
2.0%
96.3 2
 
2.0%
109.7 2
 
2.0%
Other values (72) 78
78.0%
ValueCountFrequency (%)
57.6 1
1.0%
66.3 1
1.0%
69.1 1
1.0%
71.3 1
1.0%
77.1 1
1.0%
81.3 1
1.0%
81.9 1
1.0%
83.3 1
1.0%
83.6 1
1.0%
84.9 1
1.0%
ValueCountFrequency (%)
116.0 1
1.0%
111.1 1
1.0%
110.3 1
1.0%
109.7 2
2.0%
108.7 1
1.0%
106.9 2
2.0%
106.7 1
1.0%
106.1 1
1.0%
106.0 1
1.0%
105.8 1
1.0%

투명도 점수
Categorical

Distinct5
Distinct (%)5.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
1
65 
4
14 
3
12 
2
 
6
5
 
3

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
1 65
65.0%
4 14
 
14.0%
3 12
 
12.0%
2 6
 
6.0%
5 3
 
3.0%

Length

2023-12-12T14:29:08.728551image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T14:29:08.858167image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 65
65.0%
4 14
 
14.0%
3 12
 
12.0%
2 6
 
6.0%
5 3
 
3.0%

투명도
Real number (ℝ)

Distinct42
Distinct (%)42.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.985
Minimum0.8
Maximum6.2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-12T14:29:09.002581image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0.8
5-th percentile1.3
Q12.1
median2.8
Q33.6
95-th percentile5.3
Maximum6.2
Range5.4
Interquartile range (IQR)1.5

Descriptive statistics

Standard deviation1.2081687
Coefficient of variation (CV)0.40474665
Kurtosis0.0029529832
Mean2.985
Median Absolute Deviation (MAD)0.8
Skewness0.66188034
Sum298.5
Variance1.4596717
MonotonicityNot monotonic
2023-12-12T14:29:09.149172image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=42)
ValueCountFrequency (%)
3.2 5
 
5.0%
2.5 5
 
5.0%
1.9 5
 
5.0%
2.1 4
 
4.0%
2.3 4
 
4.0%
3.8 4
 
4.0%
2.8 4
 
4.0%
2.7 4
 
4.0%
2.9 4
 
4.0%
3.4 4
 
4.0%
Other values (32) 57
57.0%
ValueCountFrequency (%)
0.8 1
 
1.0%
1.1 1
 
1.0%
1.2 1
 
1.0%
1.3 3
3.0%
1.4 2
 
2.0%
1.5 3
3.0%
1.6 2
 
2.0%
1.7 2
 
2.0%
1.8 2
 
2.0%
1.9 5
5.0%
ValueCountFrequency (%)
6.2 1
 
1.0%
6.1 1
 
1.0%
5.9 1
 
1.0%
5.4 1
 
1.0%
5.3 2
2.0%
5.1 3
3.0%
5.0 1
 
1.0%
4.9 1
 
1.0%
4.7 1
 
1.0%
4.6 1
 
1.0%

구리
Real number (ℝ)

MISSING  ZEROS 

Distinct49
Distinct (%)81.7%
Missing40
Missing (%)40.0%
Infinite0
Infinite (%)0.0%
Mean1.0603667
Minimum0
Maximum5.331
Zeros12
Zeros (%)12.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-12T14:29:09.313096image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10.15425
median0.9685
Q31.4875
95-th percentile2.93025
Maximum5.331
Range5.331
Interquartile range (IQR)1.33325

Descriptive statistics

Standard deviation1.0575967
Coefficient of variation (CV)0.99738771
Kurtosis4.056877
Mean1.0603667
Median Absolute Deviation (MAD)0.6555
Skewness1.667565
Sum63.622
Variance1.1185107
MonotonicityNot monotonic
2023-12-12T14:29:09.455738image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=49)
ValueCountFrequency (%)
0.0 12
 
12.0%
0.207 1
 
1.0%
0.044 1
 
1.0%
0.702 1
 
1.0%
1.485 1
 
1.0%
2.754 1
 
1.0%
1.836 1
 
1.0%
1.495 1
 
1.0%
1.428 1
 
1.0%
0.838 1
 
1.0%
Other values (39) 39
39.0%
(Missing) 40
40.0%
ValueCountFrequency (%)
0.0 12
12.0%
0.039 1
 
1.0%
0.044 1
 
1.0%
0.11 1
 
1.0%
0.169 1
 
1.0%
0.207 1
 
1.0%
0.218 1
 
1.0%
0.518 1
 
1.0%
0.537 1
 
1.0%
0.567 1
 
1.0%
ValueCountFrequency (%)
5.331 1
1.0%
4.072 1
1.0%
3.087 1
1.0%
2.922 1
1.0%
2.754 1
1.0%
2.518 1
1.0%
2.353 1
1.0%
1.896 1
1.0%
1.836 1
1.0%
1.725 1
1.0%

납
Real number (ℝ)

MISSING  ZEROS 

Distinct32
Distinct (%)53.3%
Missing40
Missing (%)40.0%
Infinite0
Infinite (%)0.0%
Mean0.22875
Minimum0
Maximum2.037
Zeros29
Zeros (%)29.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-12T14:29:09.608459image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0.0105
Q30.267
95-th percentile1.07115
Maximum2.037
Range2.037
Interquartile range (IQR)0.267

Descriptive statistics

Standard deviation0.40262569
Coefficient of variation (CV)1.7601123
Kurtosis7.5048112
Mean0.22875
Median Absolute Deviation (MAD)0.0105
Skewness2.572624
Sum13.725
Variance0.16210744
MonotonicityNot monotonic
2023-12-12T14:29:09.750090image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=32)
ValueCountFrequency (%)
0.0 29
29.0%
1.074 1
 
1.0%
0.155 1
 
1.0%
0.62 1
 
1.0%
0.36 1
 
1.0%
0.115 1
 
1.0%
0.389 1
 
1.0%
0.595 1
 
1.0%
0.103 1
 
1.0%
0.132 1
 
1.0%
Other values (22) 22
22.0%
(Missing) 40
40.0%
ValueCountFrequency (%)
0.0 29
29.0%
0.002 1
 
1.0%
0.019 1
 
1.0%
0.085 1
 
1.0%
0.092 1
 
1.0%
0.101 1
 
1.0%
0.103 1
 
1.0%
0.112 1
 
1.0%
0.115 1
 
1.0%
0.12 1
 
1.0%
ValueCountFrequency (%)
2.037 1
1.0%
1.519 1
1.0%
1.074 1
1.0%
1.071 1
1.0%
0.906 1
1.0%
0.712 1
1.0%
0.694 1
1.0%
0.62 1
1.0%
0.595 1
1.0%
0.559 1
1.0%

아연
Real number (ℝ)

MISSING 

Distinct60
Distinct (%)100.0%
Missing40
Missing (%)40.0%
Infinite0
Infinite (%)0.0%
Mean4.4778167
Minimum0.033
Maximum34.198
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-12T14:29:09.935395image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0.033
5-th percentile0.77165
Q12.29375
median3.3815
Q35.461
95-th percentile9.6531
Maximum34.198
Range34.165
Interquartile range (IQR)3.16725

Descriptive statistics

Standard deviation4.6726933
Coefficient of variation (CV)1.0435205
Kurtosis27.989967
Mean4.4778167
Median Absolute Deviation (MAD)1.686
Skewness4.6276768
Sum268.669
Variance21.834062
MonotonicityNot monotonic
2023-12-12T14:29:10.115816image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
5.823 1
 
1.0%
1.833 1
 
1.0%
4.938 1
 
1.0%
1.367 1
 
1.0%
9.506 1
 
1.0%
2.459 1
 
1.0%
2.254 1
 
1.0%
2.566 1
 
1.0%
5.271 1
 
1.0%
6.102 1
 
1.0%
Other values (50) 50
50.0%
(Missing) 40
40.0%
ValueCountFrequency (%)
0.033 1
1.0%
0.665 1
1.0%
0.689 1
1.0%
0.776 1
1.0%
0.976 1
1.0%
0.983 1
1.0%
1.314 1
1.0%
1.367 1
1.0%
1.577 1
1.0%
1.688 1
1.0%
ValueCountFrequency (%)
34.198 1
1.0%
12.458 1
1.0%
12.448 1
1.0%
9.506 1
1.0%
8.74 1
1.0%
7.688 1
1.0%
6.215 1
1.0%
6.102 1
1.0%
6.021 1
1.0%
5.887 1
1.0%

비소
Real number (ℝ)

MISSING  ZEROS 

Distinct37
Distinct (%)61.7%
Missing40
Missing (%)40.0%
Infinite0
Infinite (%)0.0%
Mean0.1656
Minimum0
Maximum1.004
Zeros23
Zeros (%)23.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-12T14:29:10.684417image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0.0715
Q30.25425
95-th percentile0.5872
Maximum1.004
Range1.004
Interquartile range (IQR)0.25425

Descriptive statistics

Standard deviation0.22113423
Coefficient of variation (CV)1.3353516
Kurtosis2.8581444
Mean0.1656
Median Absolute Deviation (MAD)0.0715
Skewness1.6774279
Sum9.936
Variance0.048900346
MonotonicityNot monotonic
2023-12-12T14:29:10.862567image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=37)
ValueCountFrequency (%)
0.0 23
23.0%
0.108 2
 
2.0%
0.561 1
 
1.0%
0.36 1
 
1.0%
0.686 1
 
1.0%
0.582 1
 
1.0%
0.389 1
 
1.0%
0.243 1
 
1.0%
0.037 1
 
1.0%
0.292 1
 
1.0%
Other values (27) 27
27.0%
(Missing) 40
40.0%
ValueCountFrequency (%)
0.0 23
23.0%
0.005 1
 
1.0%
0.022 1
 
1.0%
0.027 1
 
1.0%
0.036 1
 
1.0%
0.037 1
 
1.0%
0.038 1
 
1.0%
0.039 1
 
1.0%
0.104 1
 
1.0%
0.107 1
 
1.0%
ValueCountFrequency (%)
1.004 1
1.0%
0.693 1
1.0%
0.686 1
1.0%
0.582 1
1.0%
0.577 1
1.0%
0.561 1
1.0%
0.466 1
1.0%
0.437 1
1.0%
0.389 1
1.0%
0.36 1
1.0%

카드뮴
Real number (ℝ)

MISSING  ZEROS 

Distinct26
Distinct (%)43.3%
Missing40
Missing (%)40.0%
Infinite0
Infinite (%)0.0%
Mean0.015566667
Minimum0
Maximum0.14
Zeros25
Zeros (%)25.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-12T14:29:11.028069image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0.012
Q30.0235
95-th percentile0.04825
Maximum0.14
Range0.14
Interquartile range (IQR)0.0235

Descriptive statistics

Standard deviation0.022198921
Coefficient of variation (CV)1.4260549
Kurtosis16.047768
Mean0.015566667
Median Absolute Deviation (MAD)0.012
Skewness3.2679437
Sum0.934
Variance0.00049279209
MonotonicityNot monotonic
2023-12-12T14:29:11.212697image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=26)
ValueCountFrequency (%)
0.0 25
25.0%
0.012 3
 
3.0%
0.018 3
 
3.0%
0.014 2
 
2.0%
0.015 2
 
2.0%
0.03 2
 
2.0%
0.022 2
 
2.0%
0.033 2
 
2.0%
0.029 2
 
2.0%
0.003 1
 
1.0%
Other values (16) 16
 
16.0%
(Missing) 40
40.0%
ValueCountFrequency (%)
0.0 25
25.0%
0.003 1
 
1.0%
0.005 1
 
1.0%
0.006 1
 
1.0%
0.011 1
 
1.0%
0.012 3
 
3.0%
0.014 2
 
2.0%
0.015 2
 
2.0%
0.017 1
 
1.0%
0.018 3
 
3.0%
ValueCountFrequency (%)
0.14 1
1.0%
0.059 1
1.0%
0.053 1
1.0%
0.048 1
1.0%
0.035 1
1.0%
0.034 1
1.0%
0.033 2
2.0%
0.031 1
1.0%
0.03 2
2.0%
0.029 2
2.0%

니켈
Real number (ℝ)

MISSING  ZEROS 

Distinct41
Distinct (%)68.3%
Missing40
Missing (%)40.0%
Infinite0
Infinite (%)0.0%
Mean0.30125
Minimum0
Maximum2.036
Zeros17
Zeros (%)17.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-12T14:29:11.429736image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0.293
Q30.41975
95-th percentile0.74505
Maximum2.036
Range2.036
Interquartile range (IQR)0.41975

Descriptive statistics

Standard deviation0.35192312
Coefficient of variation (CV)1.1682095
Kurtosis10.674955
Mean0.30125
Median Absolute Deviation (MAD)0.206
Skewness2.6878262
Sum18.075
Variance0.12384989
MonotonicityNot monotonic
2023-12-12T14:29:11.620119image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=41)
ValueCountFrequency (%)
0.0 17
17.0%
0.369 2
 
2.0%
0.343 2
 
2.0%
0.375 2
 
2.0%
0.309 1
 
1.0%
0.27 1
 
1.0%
0.431 1
 
1.0%
0.543 1
 
1.0%
0.269 1
 
1.0%
0.221 1
 
1.0%
Other values (31) 31
31.0%
(Missing) 40
40.0%
ValueCountFrequency (%)
0.0 17
17.0%
0.017 1
 
1.0%
0.031 1
 
1.0%
0.063 1
 
1.0%
0.087 1
 
1.0%
0.133 1
 
1.0%
0.162 1
 
1.0%
0.198 1
 
1.0%
0.205 1
 
1.0%
0.221 1
 
1.0%
ValueCountFrequency (%)
2.036 1
1.0%
1.484 1
1.0%
0.803 1
1.0%
0.742 1
1.0%
0.631 1
1.0%
0.611 1
1.0%
0.564 1
1.0%
0.543 1
1.0%
0.506 1
1.0%
0.499 1
1.0%

화학적산소요구량
Real number (ℝ)

Distinct75
Distinct (%)75.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.2162
Minimum0.1
Maximum5.19
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-12T14:29:11.777033image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0.1
5-th percentile0.239
Q10.675
median1.02
Q31.3725
95-th percentile2.6045
Maximum5.19
Range5.09
Interquartile range (IQR)0.6975

Descriptive statistics

Standard deviation0.90352372
Coefficient of variation (CV)0.74290719
Kurtosis6.576561
Mean1.2162
Median Absolute Deviation (MAD)0.355
Skewness2.2573703
Sum121.62
Variance0.81635511
MonotonicityNot monotonic
2023-12-12T14:29:11.943589image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1.09 5
 
5.0%
0.71 4
 
4.0%
1.0 3
 
3.0%
0.53 3
 
3.0%
1.59 3
 
3.0%
1.01 2
 
2.0%
1.03 2
 
2.0%
0.45 2
 
2.0%
0.22 2
 
2.0%
0.72 2
 
2.0%
Other values (65) 72
72.0%
ValueCountFrequency (%)
0.1 1
1.0%
0.13 1
1.0%
0.19 1
1.0%
0.22 2
2.0%
0.24 1
1.0%
0.31 1
1.0%
0.37 1
1.0%
0.42 1
1.0%
0.45 2
2.0%
0.5 1
1.0%
ValueCountFrequency (%)
5.19 1
1.0%
4.92 1
1.0%
4.35 1
1.0%
3.55 1
1.0%
2.88 1
1.0%
2.59 1
1.0%
2.57 1
1.0%
2.54 1
1.0%
2.33 1
1.0%
2.28 1
1.0%

질소 총량
Real number (ℝ)

Distinct99
Distinct (%)99.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean646.605
Minimum225.9
Maximum6184.2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-12T14:29:12.088839image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum225.9
5-th percentile252.945
Q1305.25
median360.55
Q3590.25
95-th percentile1641.31
Maximum6184.2
Range5958.3
Interquartile range (IQR)285

Descriptive statistics

Standard deviation880.79046
Coefficient of variation (CV)1.362177
Kurtosis28.292957
Mean646.605
Median Absolute Deviation (MAD)85.9
Skewness4.9996235
Sum64660.5
Variance775791.84
MonotonicityNot monotonic
2023-12-12T14:29:12.278189image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
486.4 2
 
2.0%
234.4 1
 
1.0%
771.6 1
 
1.0%
369.3 1
 
1.0%
336.0 1
 
1.0%
420.6 1
 
1.0%
296.3 1
 
1.0%
267.5 1
 
1.0%
600.3 1
 
1.0%
303.5 1
 
1.0%
Other values (89) 89
89.0%
ValueCountFrequency (%)
225.9 1
1.0%
234.4 1
1.0%
246.7 1
1.0%
247.6 1
1.0%
251.9 1
1.0%
253.0 1
1.0%
257.3 1
1.0%
258.7 1
1.0%
264.5 1
1.0%
266.4 1
1.0%
ValueCountFrequency (%)
6184.2 1
1.0%
5964.1 1
1.0%
2386.5 1
1.0%
2251.7 1
1.0%
1689.0 1
1.0%
1638.8 1
1.0%
1541.6 1
1.0%
1427.8 1
1.0%
1360.3 1
1.0%
1185.4 1
1.0%

인 총량
Real number (ℝ)

Distinct86
Distinct (%)86.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean43.437
Minimum8.5
Maximum313.8
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-12T14:29:12.444871image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum8.5
5-th percentile13.54
Q123.375
median28.95
Q345.1
95-th percentile115.34
Maximum313.8
Range305.3
Interquartile range (IQR)21.725

Descriptive statistics

Standard deviation46.214222
Coefficient of variation (CV)1.0639368
Kurtosis17.885562
Mean43.437
Median Absolute Deviation (MAD)9.05
Skewness3.9395853
Sum4343.7
Variance2135.7543
MonotonicityNot monotonic
2023-12-12T14:29:12.652557image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
22.8 3
 
3.0%
19.8 3
 
3.0%
26.6 2
 
2.0%
28.1 2
 
2.0%
23.4 2
 
2.0%
28.8 2
 
2.0%
23.6 2
 
2.0%
28.2 2
 
2.0%
25.8 2
 
2.0%
40.2 2
 
2.0%
Other values (76) 78
78.0%
ValueCountFrequency (%)
8.5 1
1.0%
8.9 1
1.0%
10.0 1
1.0%
12.0 1
1.0%
12.4 1
1.0%
13.6 1
1.0%
14.0 1
1.0%
15.4 1
1.0%
15.5 2
2.0%
16.8 1
1.0%
ValueCountFrequency (%)
313.8 1
1.0%
268.9 1
1.0%
203.6 1
1.0%
169.3 1
1.0%
116.1 1
1.0%
115.3 1
1.0%
84.3 1
1.0%
84.1 1
1.0%
83.1 1
1.0%
72.1 1
1.0%

용존 산소량
Real number (ℝ)

Distinct84
Distinct (%)84.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.8149
Minimum5.35
Maximum10.39
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-12T14:29:12.841905image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum5.35
5-th percentile6.7085
Q17.085
median7.55
Q38.415
95-th percentile9.374
Maximum10.39
Range5.04
Interquartile range (IQR)1.33

Descriptive statistics

Standard deviation0.93998871
Coefficient of variation (CV)0.1202816
Kurtosis-0.091157566
Mean7.8149
Median Absolute Deviation (MAD)0.635
Skewness0.29679066
Sum781.49
Variance0.88357878
MonotonicityNot monotonic
2023-12-12T14:29:12.992472image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
7.49 3
 
3.0%
6.72 2
 
2.0%
8.0 2
 
2.0%
8.18 2
 
2.0%
7.51 2
 
2.0%
6.78 2
 
2.0%
7.45 2
 
2.0%
8.85 2
 
2.0%
7.03 2
 
2.0%
7.04 2
 
2.0%
Other values (74) 79
79.0%
ValueCountFrequency (%)
5.35 1
1.0%
5.66 1
1.0%
6.48 1
1.0%
6.64 1
1.0%
6.68 1
1.0%
6.71 1
1.0%
6.72 2
2.0%
6.76 1
1.0%
6.77 1
1.0%
6.78 2
2.0%
ValueCountFrequency (%)
10.39 1
1.0%
9.78 1
1.0%
9.73 1
1.0%
9.72 1
1.0%
9.64 1
1.0%
9.36 1
1.0%
9.34 1
1.0%
9.24 1
1.0%
9.18 1
1.0%
9.06 1
1.0%

수온
Real number (ℝ)

Distinct95
Distinct (%)95.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean17.0881
Minimum3.74
Maximum26.72
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-12T14:29:13.157015image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3.74
5-th percentile8.02
Q111.53
median16.805
Q324.095
95-th percentile25.711
Maximum26.72
Range22.98
Interquartile range (IQR)12.565

Descriptive statistics

Standard deviation6.1141054
Coefficient of variation (CV)0.35779902
Kurtosis-1.0494387
Mean17.0881
Median Absolute Deviation (MAD)5.955
Skewness0.033236368
Sum1708.81
Variance37.382284
MonotonicityNot monotonic
2023-12-12T14:29:13.304013image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
16.95 3
 
3.0%
25.08 2
 
2.0%
10.05 2
 
2.0%
25.7 2
 
2.0%
25.68 1
 
1.0%
22.67 1
 
1.0%
25.06 1
 
1.0%
25.22 1
 
1.0%
24.87 1
 
1.0%
25.59 1
 
1.0%
Other values (85) 85
85.0%
ValueCountFrequency (%)
3.74 1
1.0%
5.53 1
1.0%
6.9 1
1.0%
6.99 1
1.0%
7.26 1
1.0%
8.06 1
1.0%
8.48 1
1.0%
8.51 1
1.0%
9.16 1
1.0%
9.37 1
1.0%
ValueCountFrequency (%)
26.72 1
1.0%
26.18 1
1.0%
26.17 1
1.0%
25.96 1
1.0%
25.92 1
1.0%
25.7 2
2.0%
25.68 1
1.0%
25.6 1
1.0%
25.59 1
1.0%
25.5 1
1.0%

전기전도도
Real number (ℝ)

Distinct48
Distinct (%)48.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean50.526
Minimum22.7
Maximum54.5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-12T14:29:13.440265image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum22.7
5-th percentile45.5
Q149.45
median51.8
Q352.3
95-th percentile53.305
Maximum54.5
Range31.8
Interquartile range (IQR)2.85

Descriptive statistics

Standard deviation3.6808711
Coefficient of variation (CV)0.072851029
Kurtosis33.040037
Mean50.526
Median Absolute Deviation (MAD)0.75
Skewness-4.8242668
Sum5052.6
Variance13.548812
MonotonicityNot monotonic
2023-12-12T14:29:13.581437image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=48)
ValueCountFrequency (%)
51.8 10
 
10.0%
52.3 7
 
7.0%
52.4 5
 
5.0%
51.5 5
 
5.0%
52.5 5
 
5.0%
52.2 5
 
5.0%
53.4 4
 
4.0%
48.8 3
 
3.0%
51.0 3
 
3.0%
51.4 2
 
2.0%
Other values (38) 51
51.0%
ValueCountFrequency (%)
22.7 1
1.0%
40.2 1
1.0%
43.9 1
1.0%
44.1 1
1.0%
45.5 2
2.0%
46.0 1
1.0%
46.3 1
1.0%
47.4 1
1.0%
47.9 2
2.0%
48.0 1
1.0%
ValueCountFrequency (%)
54.5 1
 
1.0%
53.4 4
4.0%
53.3 1
 
1.0%
53.2 1
 
1.0%
53.0 2
 
2.0%
52.8 1
 
1.0%
52.7 1
 
1.0%
52.6 2
 
2.0%
52.5 5
5.0%
52.4 5
5.0%

염분
Real number (ℝ)

Distinct84
Distinct (%)84.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean33.1016
Minimum13.61
Maximum35.27
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-12T14:29:13.756181image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum13.61
5-th percentile29.498
Q132.2625
median34.015
Q334.43
95-th percentile35.1015
Maximum35.27
Range21.66
Interquartile range (IQR)2.1675

Descriptive statistics

Standard deviation2.6235402
Coefficient of variation (CV)0.079257201
Kurtosis30.751456
Mean33.1016
Median Absolute Deviation (MAD)0.57
Skewness-4.6271081
Sum3310.16
Variance6.8829631
MonotonicityNot monotonic
2023-12-12T14:29:13.911097image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
34.52 3
 
3.0%
34.5 3
 
3.0%
33.4 2
 
2.0%
33.87 2
 
2.0%
31.63 2
 
2.0%
34.43 2
 
2.0%
34.42 2
 
2.0%
34.05 2
 
2.0%
34.36 2
 
2.0%
34.15 2
 
2.0%
Other values (74) 78
78.0%
ValueCountFrequency (%)
13.61 1
1.0%
25.64 1
1.0%
28.3 1
1.0%
28.41 1
1.0%
29.46 1
1.0%
29.5 1
1.0%
29.88 1
1.0%
30.33 1
1.0%
30.55 1
1.0%
30.63 1
1.0%
ValueCountFrequency (%)
35.27 1
1.0%
35.24 1
1.0%
35.22 1
1.0%
35.21 1
1.0%
35.13 1
1.0%
35.1 1
1.0%
34.96 1
1.0%
34.91 1
1.0%
34.77 1
1.0%
34.75 1
1.0%

Sample

2022년 분기조사정점수소이온농도총대장균군수질지수등급용존무기질 질소농도 점수용존무기질 질소농도용존무기인농도 점수용존무기인농도식물플랑크톤농도 점수식물플랑크톤농도저층산소포화도 점수저층산소포화도투명도 점수투명도구리납아연비소카드뮴니켈화학적산소요구량질소 총량인 총량용존 산소량수온전기전도도염분
01고리8.111.820I144.9110.610.38198.615.10.00.01.3140.00.00.01.01234.426.69.012.5452.134.09
11일광8.244.520I152.817.510.21198.814.50.00.00.9830.3010.00.00.45264.519.88.8312.0752.534.58
21대변8.274.020I150.218.710.18199.313.80.110.02.5170.00.00.00.53251.919.88.7912.1352.734.75
31해운대해수욕장8.411300.020I1162.7124.210.18199.312.80.2070.02.7260.0270.00.00.37349.867.68.4310.7553.435.21
41해운대8.393300.026II4315.2121.810.1196.412.70.0440.02.6810.0380.00.00.1520.132.48.4110.8253.034.72
51수영만8.384600.036III51978.1558.610.16197.913.90.00.01.5770.00.020.01.112251.772.18.3210.5851.533.91
61민락동8.468.022I2225.0124.610.66198.812.71.1350.05.4460.00.00.3430.24358.929.18.4510.8853.435.22
71광안리해수욕장7.922.020I1153.9121.010.07195.313.20.00.00.0330.00.00.00.96324.222.19.0610.1753.335.13
81남천만8.2833.020I1152.2123.910.28197.312.90.00.05.5060.00.00.00.51329.024.68.210.7453.235.1
91이기대8.29330.022I2227.5125.410.16198.512.50.00.01.6880.00.00.01.09470.342.98.3711.2253.034.96
2022년 분기조사정점수소이온농도총대장균군수질지수등급용존무기질 질소농도 점수용존무기질 질소농도용존무기인농도 점수용존무기인농도식물플랑크톤농도 점수식물플랑크톤농도저층산소포화도 점수저층산소포화도투명도 점수투명도구리납아연비소카드뮴니켈화학적산소요구량질소 총량인 총량용존 산소량수온전기전도도염분
904자갈치시장8.3490.030II1104.1119.110.2288.813.2<NA><NA><NA><NA><NA><NA>1.08304.828.17.3517.8651.834.05
914송도해수욕장8.32230.020I167.7110.710.44191.015.1<NA><NA><NA><NA><NA><NA>1.27247.612.47.3617.8551.834.06
924남외항8.3479.036III146.7110.510.2289.332.0<NA><NA><NA><NA><NA><NA>0.66301.452.17.3617.8151.834.08
9345부두8.34330.059IV3249.3443.810.32377.141.4<NA><NA><NA><NA><NA><NA>1.16437.944.87.0416.9551.533.89
944북내항8.1733.030II1110.0120.010.14287.713.3<NA><NA><NA><NA><NA><NA>0.88317.433.37.4317.4151.834.07
954남항8.291700.036III1165.8119.210.26288.432.1<NA><NA><NA><NA><NA><NA>2.59274.119.57.3717.951.834.04
964감천항8.2313.020I198.3117.810.5191.513.5<NA><NA><NA><NA><NA><NA>1.09327.239.67.4918.3152.034.16
974발전소앞8.1445.026II178.4116.210.93195.832.2<NA><NA><NA><NA><NA><NA>1.37253.028.87.6818.3652.534.52
984다대포항8.25230.030II1123.5119.910.16286.614.0<NA><NA><NA><NA><NA><NA>1.14300.023.37.4417.0551.834.01
994다대포어시장8.281400.065V5624.65148.810.85369.141.6<NA><NA><NA><NA><NA><NA>2.271360.3203.66.7816.6251.633.87