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

Description부산광역시_해양환경현황_20191231
Author부산광역시
URLhttp://data.busan.go.kr/dataSet/detail.nm?contentId=10&publicdatapk=3077374

Alerts

Chl-a(점수) is highly imbalanced (69.6%)Imbalance
Cu( μg/L) has 40 (40.0%) missing valuesMissing
Pb( μg/L) has 40 (40.0%) missing valuesMissing
Zn( μg/L) has 40 (40.0%) missing valuesMissing
As( μg/L) has 40 (40.0%) missing valuesMissing
Cd( μg/L) has 40 (40.0%) missing valuesMissing
Ni( μg/L) has 40 (40.0%) missing valuesMissing
저층산소포화도(DO,%) has unique valuesUnique
총대장균군(MPN/100mL) has 3 (3.0%) zerosZeros
Pb( μg/L) has 10 (10.0%) zerosZeros
Zn( μg/L) has 30 (30.0%) zerosZeros
As( μg/L) has 34 (34.0%) zerosZeros
Cd( μg/L) has 34 (34.0%) zerosZeros

Reproduction

Analysis started2023-12-10 16:03:15.768529
Analysis finished2023-12-10 16:03:16.003194
Duration0.23 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

2019년 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

2023-12-11T01:03:16.055420image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T01:03:16.137885image/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

2023-12-11T01:03:16.283441image/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%

pH
Real number (ℝ)

Distinct39
Distinct (%)39.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8.1788
Minimum7.77
Maximum8.91
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-11T01:03:16.388793image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum7.77
5-th percentile7.9895
Q18.11
median8.18
Q38.24
95-th percentile8.3405
Maximum8.91
Range1.14
Interquartile range (IQR)0.13

Descriptive statistics

Standard deviation0.12970269
Coefficient of variation (CV)0.015858401
Kurtosis10.325491
Mean8.1788
Median Absolute Deviation (MAD)0.06
Skewness1.2730262
Sum817.88
Variance0.016822788
MonotonicityNot monotonic
2023-12-11T01:03:16.521638image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=39)
ValueCountFrequency (%)
8.13 8
 
8.0%
8.11 8
 
8.0%
8.14 6
 
6.0%
8.21 6
 
6.0%
8.23 6
 
6.0%
8.18 5
 
5.0%
8.19 4
 
4.0%
8.28 4
 
4.0%
8.1 3
 
3.0%
8.24 3
 
3.0%
Other values (29) 47
47.0%
ValueCountFrequency (%)
7.77 1
1.0%
7.82 1
1.0%
7.89 1
1.0%
7.98 2
2.0%
7.99 1
1.0%
8.02 1
1.0%
8.04 1
1.0%
8.05 1
1.0%
8.06 1
1.0%
8.07 1
1.0%
ValueCountFrequency (%)
8.91 1
 
1.0%
8.39 2
2.0%
8.36 1
 
1.0%
8.35 1
 
1.0%
8.34 2
2.0%
8.33 2
2.0%
8.3 2
2.0%
8.29 2
2.0%
8.28 4
4.0%
8.27 2
2.0%

총대장균군(MPN/100mL)
Real number (ℝ)

ZEROS 

Distinct42
Distinct (%)42.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1415.109
Minimum0
Maximum54000
Zeros3
Zeros (%)3.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-11T01:03:16.658000image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1.99
Q120
median78.5
Q3330
95-th percentile5005
Maximum54000
Range54000
Interquartile range (IQR)310

Descriptive statistics

Standard deviation6077.6721
Coefficient of variation (CV)4.2948438
Kurtosis58.857809
Mean1415.109
Median Absolute Deviation (MAD)76.5
Skewness7.2425806
Sum141510.9
Variance36938098
MonotonicityNot monotonic
2023-12-11T01:03:16.816504image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=42)
ValueCountFrequency (%)
2.0 8
 
8.0%
78.0 7
 
7.0%
130.0 7
 
7.0%
20.0 6
 
6.0%
45.0 6
 
6.0%
230.0 5
 
5.0%
490.0 4
 
4.0%
330.0 4
 
4.0%
790.0 4
 
4.0%
170.0 3
 
3.0%
Other values (32) 46
46.0%
ValueCountFrequency (%)
0.0 3
 
3.0%
1.8 2
 
2.0%
2.0 8
8.0%
4.0 1
 
1.0%
4.5 3
 
3.0%
7.8 1
 
1.0%
13.0 2
 
2.0%
17.0 1
 
1.0%
20.0 6
6.0%
22.0 3
 
3.0%
ValueCountFrequency (%)
54000.0 1
1.0%
22000.0 1
1.0%
16000.0 1
1.0%
9200.0 1
1.0%
7000.0 1
1.0%
4900.0 1
1.0%
3500.0 1
1.0%
3300.0 1
1.0%
2400.0 1
1.0%
1700.0 2
2.0%

WQI
Real number (ℝ)

Distinct27
Distinct (%)27.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean31.03
Minimum20
Maximum72
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-11T01:03:16.945113image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20
5-th percentile20
Q120
median28
Q339.25
95-th percentile55
Maximum72
Range52
Interquartile range (IQR)19.25

Descriptive statistics

Standard deviation12.089276
Coefficient of variation (CV)0.38959963
Kurtosis0.52209122
Mean31.03
Median Absolute Deviation (MAD)8
Skewness1.0434168
Sum3103
Variance146.15061
MonotonicityNot monotonic
2023-12-11T01:03:17.099720image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=27)
ValueCountFrequency (%)
20 37
37.0%
40 7
 
7.0%
30 6
 
6.0%
36 5
 
5.0%
26 5
 
5.0%
28 5
 
5.0%
32 3
 
3.0%
24 3
 
3.0%
34 3
 
3.0%
55 2
 
2.0%
Other values (17) 24
24.0%
ValueCountFrequency (%)
20 37
37.0%
22 2
 
2.0%
24 3
 
3.0%
26 5
 
5.0%
28 5
 
5.0%
29 1
 
1.0%
30 6
 
6.0%
31 1
 
1.0%
32 3
 
3.0%
34 3
 
3.0%
ValueCountFrequency (%)
72 1
1.0%
62 1
1.0%
58 2
2.0%
55 2
2.0%
53 1
1.0%
52 2
2.0%
51 1
1.0%
49 1
1.0%
46 2
2.0%
45 1
1.0%

등급
Categorical

Distinct5
Distinct (%)5.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
I
39 
III
26 
II
24 
IV
9 
V
 
2

Length

Max length3
Median length2
Mean length1.85
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
I 39
39.0%
III 26
26.0%
II 24
24.0%
IV 9
 
9.0%
V 2
 
2.0%

Length

2023-12-11T01:03:17.231211image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T01:03:17.352896image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 39
39.0%
iii 26
26.0%
ii 24
24.0%
iv 9
 
9.0%
v 2
 
2.0%

DIN(점수)
Categorical

Distinct5
Distinct (%)5.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
1
76 
5
15 
4
 
3
3
 
3
2
 
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 76
76.0%
5 15
 
15.0%
4 3
 
3.0%
3 3
 
3.0%
2 3
 
3.0%

Length

2023-12-11T01:03:17.484370image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T01:03:17.586799image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 76
76.0%
5 15
 
15.0%
4 3
 
3.0%
3 3
 
3.0%
2 3
 
3.0%

DIN(μg/L)
Real number (ℝ)

Distinct97
Distinct (%)97.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean292.931
Minimum0
Maximum2999.3
Zeros1
Zeros (%)1.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-11T01:03:17.705896image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile29.925
Q173.3
median118.9
Q3240.45
95-th percentile1187.305
Maximum2999.3
Range2999.3
Interquartile range (IQR)167.15

Descriptive statistics

Standard deviation471.39013
Coefficient of variation (CV)1.609219
Kurtosis13.342414
Mean292.931
Median Absolute Deviation (MAD)62.15
Skewness3.3671023
Sum29293.1
Variance222208.66
MonotonicityNot monotonic
2023-12-11T01:03:17.860189image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
24.4 2
 
2.0%
30.9 2
 
2.0%
105.2 2
 
2.0%
26.6 1
 
1.0%
81.2 1
 
1.0%
238.5 1
 
1.0%
144.1 1
 
1.0%
126.2 1
 
1.0%
60.3 1
 
1.0%
61.8 1
 
1.0%
Other values (87) 87
87.0%
ValueCountFrequency (%)
0.0 1
1.0%
8.2 1
1.0%
24.4 2
2.0%
26.6 1
1.0%
30.1 1
1.0%
30.9 2
2.0%
35.2 1
1.0%
40.4 1
1.0%
40.6 1
1.0%
43.4 1
1.0%
ValueCountFrequency (%)
2999.3 1
1.0%
2068.8 1
1.0%
1877.3 1
1.0%
1618.0 1
1.0%
1274.8 1
1.0%
1182.7 1
1.0%
1071.6 1
1.0%
959.5 1
1.0%
924.9 1
1.0%
861.7 1
1.0%

DIP(점수)
Categorical

Distinct5
Distinct (%)5.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
1
75 
5
11 
4
8 
3
 
4
2
 
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 75
75.0%
5 11
 
11.0%
4 8
 
8.0%
3 4
 
4.0%
2 2
 
2.0%

Length

2023-12-11T01:03:17.996969image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T01:03:18.114840image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 75
75.0%
5 11
 
11.0%
4 8
 
8.0%
3 4
 
4.0%
2 2
 
2.0%

DIP(μg/L)
Real number (ℝ)

Distinct88
Distinct (%)88.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean27.295
Minimum3.2
Maximum164
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-11T01:03:18.237072image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3.2
5-th percentile6.545
Q114.375
median21.05
Q332.175
95-th percentile64.45
Maximum164
Range160.8
Interquartile range (IQR)17.8

Descriptive statistics

Standard deviation22.856621
Coefficient of variation (CV)0.83739224
Kurtosis13.403927
Mean27.295
Median Absolute Deviation (MAD)9.9
Skewness3.0110431
Sum2729.5
Variance522.42513
MonotonicityNot monotonic
2023-12-11T01:03:18.406073image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
21.5 3
 
3.0%
15.7 3
 
3.0%
33.8 2
 
2.0%
31.9 2
 
2.0%
10.8 2
 
2.0%
30.3 2
 
2.0%
19.8 2
 
2.0%
26.1 2
 
2.0%
19.5 2
 
2.0%
25.7 2
 
2.0%
Other values (78) 78
78.0%
ValueCountFrequency (%)
3.2 1
1.0%
3.8 1
1.0%
4.0 1
1.0%
5.1 1
1.0%
5.5 1
1.0%
6.6 1
1.0%
6.7 1
1.0%
7.6 1
1.0%
8.8 1
1.0%
8.9 1
1.0%
ValueCountFrequency (%)
164.0 1
1.0%
103.7 1
1.0%
90.4 1
1.0%
77.9 1
1.0%
73.0 1
1.0%
64.0 1
1.0%
63.0 1
1.0%
58.5 1
1.0%
54.5 1
1.0%
52.6 1
1.0%

Chl-a(점수)
Categorical

IMBALANCE 

Distinct5
Distinct (%)5.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
1
89 
4
 
4
5
 
3
3
 
3
2
 
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 89
89.0%
4 4
 
4.0%
5 3
 
3.0%
3 3
 
3.0%
2 1
 
1.0%

Length

2023-12-11T01:03:18.556816image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T01:03:18.674570image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 89
89.0%
4 4
 
4.0%
5 3
 
3.0%
3 3
 
3.0%
2 1
 
1.0%

Chl-a(μg/L)
Real number (ℝ)

Distinct98
Distinct (%)98.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.2445654
Minimum0.15
Maximum8.68204
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-11T01:03:18.806074image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0.15
5-th percentile0.389
Q10.92643
median1.70244
Q32.937455
95-th percentile6.5884723
Maximum8.68204
Range8.53204
Interquartile range (IQR)2.011025

Descriptive statistics

Standard deviation1.927504
Coefficient of variation (CV)0.85874262
Kurtosis2.6070638
Mean2.2445654
Median Absolute Deviation (MAD)0.82678
Skewness1.6811806
Sum224.45654
Variance3.7152716
MonotonicityNot monotonic
2023-12-11T01:03:19.034247image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.34 2
 
2.0%
0.42 2
 
2.0%
0.86972 1
 
1.0%
1.68116 1
 
1.0%
7.35618 1
 
1.0%
8.68204 1
 
1.0%
3.0668 1
 
1.0%
1.64636 1
 
1.0%
3.32602 1
 
1.0%
3.14566 1
 
1.0%
Other values (88) 88
88.0%
ValueCountFrequency (%)
0.15 1
1.0%
0.32 1
1.0%
0.34 2
2.0%
0.37 1
1.0%
0.39 1
1.0%
0.42 2
2.0%
0.44 1
1.0%
0.45 1
1.0%
0.46 1
1.0%
0.48 1
1.0%
ValueCountFrequency (%)
8.68204 1
1.0%
8.59614 1
1.0%
8.03244 1
1.0%
7.73542 1
1.0%
7.35618 1
1.0%
6.548066667 1
1.0%
6.1 1
1.0%
6.09236 1
1.0%
5.0968 1
1.0%
5.091 1
1.0%

저층산소포화도(점수)
Categorical

Distinct4
Distinct (%)4.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
1
67 
2
18 
3
13 
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 67
67.0%
2 18
 
18.0%
3 13
 
13.0%
4 2
 
2.0%

Length

2023-12-11T01:03:19.304546image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T01:03:19.446723image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 67
67.0%
2 18
 
18.0%
3 13
 
13.0%
4 2
 
2.0%

저층산소포화도(DO,%)
Real number (ℝ)

UNIQUE 

Distinct100
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean91.7633
Minimum52.18
Maximum113.45
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-11T01:03:19.588583image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum52.18
5-th percentile69.01
Q185.57
median93.425
Q3100.6475
95-th percentile109.0195
Maximum113.45
Range61.27
Interquartile range (IQR)15.0775

Descriptive statistics

Standard deviation12.37466
Coefficient of variation (CV)0.13485412
Kurtosis0.4527606
Mean91.7633
Median Absolute Deviation (MAD)7.45
Skewness-0.70460076
Sum9176.33
Variance153.1322
MonotonicityNot monotonic
2023-12-11T01:03:19.740417image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
98.01 1
 
1.0%
97.09 1
 
1.0%
69.02 1
 
1.0%
71.3 1
 
1.0%
52.18 1
 
1.0%
68.7 1
 
1.0%
70.45 1
 
1.0%
68.82 1
 
1.0%
84.64 1
 
1.0%
75.08 1
 
1.0%
Other values (90) 90
90.0%
ValueCountFrequency (%)
52.18 1
1.0%
55.96 1
1.0%
68.47 1
1.0%
68.7 1
1.0%
68.82 1
1.0%
69.02 1
1.0%
70.45 1
1.0%
71.3 1
1.0%
72.7 1
1.0%
73.68 1
1.0%
ValueCountFrequency (%)
113.45 1
1.0%
112.73 1
1.0%
112.1 1
1.0%
111.61 1
1.0%
110.72 1
1.0%
108.93 1
1.0%
108.76 1
1.0%
106.58 1
1.0%
106.24 1
1.0%
106.22 1
1.0%

투명도(점수)
Categorical

Distinct4
Distinct (%)4.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
1
76 
3
11 
4
8 
5
 
5

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 76
76.0%
3 11
 
11.0%
4 8
 
8.0%
5 5
 
5.0%

Length

2023-12-11T01:03:19.943600image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T01:03:20.073741image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 76
76.0%
3 11
 
11.0%
4 8
 
8.0%
5 5
 
5.0%

투명도(m)
Real number (ℝ)

Distinct29
Distinct (%)29.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.699
Minimum0.5
Maximum7
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-11T01:03:20.194030image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0.5
5-th percentile1.295
Q12.5
median3.5
Q35
95-th percentile6.31
Maximum7
Range6.5
Interquartile range (IQR)2.5

Descriptive statistics

Standard deviation1.5773328
Coefficient of variation (CV)0.42642141
Kurtosis-0.88763075
Mean3.699
Median Absolute Deviation (MAD)1.5
Skewness0.057739637
Sum369.9
Variance2.4879788
MonotonicityNot monotonic
2023-12-11T01:03:20.339741image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=29)
ValueCountFrequency (%)
5.0 11
 
11.0%
3.5 11
 
11.0%
4.0 11
 
11.0%
2.5 10
 
10.0%
2.0 9
 
9.0%
5.5 5
 
5.0%
3.0 5
 
5.0%
1.5 4
 
4.0%
4.3 3
 
3.0%
5.1 3
 
3.0%
Other values (19) 28
28.0%
ValueCountFrequency (%)
0.5 1
 
1.0%
0.9 1
 
1.0%
1.0 1
 
1.0%
1.2 2
 
2.0%
1.3 2
 
2.0%
1.5 4
 
4.0%
1.7 1
 
1.0%
1.8 1
 
1.0%
2.0 9
9.0%
2.5 10
10.0%
ValueCountFrequency (%)
7.0 2
 
2.0%
6.6 1
 
1.0%
6.5 2
 
2.0%
6.3 1
 
1.0%
6.0 1
 
1.0%
5.8 3
3.0%
5.7 1
 
1.0%
5.5 5
5.0%
5.2 2
 
2.0%
5.1 3
3.0%

Cu( μg/L)
Real number (ℝ)

MISSING 

Distinct58
Distinct (%)96.7%
Missing40
Missing (%)40.0%
Infinite0
Infinite (%)0.0%
Mean1.6301667
Minimum0.04
Maximum5.7
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-11T01:03:20.492321image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0.04
5-th percentile0.1095
Q10.665
median1.065
Q32.1375
95-th percentile4.391
Maximum5.7
Range5.66
Interquartile range (IQR)1.4725

Descriptive statistics

Standard deviation1.4291606
Coefficient of variation (CV)0.87669599
Kurtosis0.73198888
Mean1.6301667
Median Absolute Deviation (MAD)0.66
Skewness1.2501356
Sum97.81
Variance2.0425
MonotonicityNot monotonic
2023-12-11T01:03:20.669226image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.69 2
 
2.0%
0.28 2
 
2.0%
2.1 1
 
1.0%
2.13 1
 
1.0%
1.0 1
 
1.0%
0.77 1
 
1.0%
0.84 1
 
1.0%
1.26 1
 
1.0%
1.9 1
 
1.0%
1.95 1
 
1.0%
Other values (48) 48
48.0%
(Missing) 40
40.0%
ValueCountFrequency (%)
0.04 1
1.0%
0.09 1
1.0%
0.1 1
1.0%
0.11 1
1.0%
0.17 1
1.0%
0.28 2
2.0%
0.38 1
1.0%
0.43 1
1.0%
0.45 1
1.0%
0.47 1
1.0%
ValueCountFrequency (%)
5.7 1
1.0%
5.4 1
1.0%
4.79 1
1.0%
4.37 1
1.0%
4.27 1
1.0%
4.16 1
1.0%
3.97 1
1.0%
3.95 1
1.0%
3.63 1
1.0%
3.45 1
1.0%

Pb( μg/L)
Real number (ℝ)

MISSING  ZEROS 

Distinct49
Distinct (%)81.7%
Missing40
Missing (%)40.0%
Infinite0
Infinite (%)0.0%
Mean1.5175
Minimum0
Maximum6.38
Zeros10
Zeros (%)10.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-11T01:03:20.873808image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10.395
median1.025
Q32
95-th percentile5.1825
Maximum6.38
Range6.38
Interquartile range (IQR)1.605

Descriptive statistics

Standard deviation1.595098
Coefficient of variation (CV)1.0511354
Kurtosis1.5965296
Mean1.5175
Median Absolute Deviation (MAD)0.825
Skewness1.4581928
Sum91.05
Variance2.5443377
MonotonicityNot monotonic
2023-12-11T01:03:21.081700image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=49)
ValueCountFrequency (%)
0.0 10
 
10.0%
0.32 2
 
2.0%
0.43 2
 
2.0%
0.26 1
 
1.0%
0.73 1
 
1.0%
1.42 1
 
1.0%
2.48 1
 
1.0%
2.34 1
 
1.0%
1.56 1
 
1.0%
0.82 1
 
1.0%
Other values (39) 39
39.0%
(Missing) 40
40.0%
ValueCountFrequency (%)
0.0 10
10.0%
0.03 1
 
1.0%
0.18 1
 
1.0%
0.26 1
 
1.0%
0.32 2
 
2.0%
0.42 1
 
1.0%
0.43 2
 
2.0%
0.44 1
 
1.0%
0.59 1
 
1.0%
0.6 1
 
1.0%
ValueCountFrequency (%)
6.38 1
1.0%
5.71 1
1.0%
5.42 1
1.0%
5.17 1
1.0%
4.87 1
1.0%
4.79 1
1.0%
3.66 1
1.0%
3.56 1
1.0%
2.76 1
1.0%
2.52 1
1.0%

Zn( μg/L)
Real number (ℝ)

MISSING  ZEROS 

Distinct31
Distinct (%)51.7%
Missing40
Missing (%)40.0%
Infinite0
Infinite (%)0.0%
Mean3.2653333
Minimum0
Maximum42.49
Zeros30
Zeros (%)30.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-11T01:03:21.278733image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0.01
Q34.825
95-th percentile12.646
Maximum42.49
Range42.49
Interquartile range (IQR)4.825

Descriptive statistics

Standard deviation6.3717819
Coefficient of variation (CV)1.951342
Kurtosis24.326181
Mean3.2653333
Median Absolute Deviation (MAD)0.01
Skewness4.3119016
Sum195.92
Variance40.599605
MonotonicityNot monotonic
2023-12-11T01:03:22.035013image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=31)
ValueCountFrequency (%)
0.0 30
30.0%
3.69 1
 
1.0%
2.81 1
 
1.0%
4.69 1
 
1.0%
0.99 1
 
1.0%
6.5 1
 
1.0%
2.41 1
 
1.0%
2.63 1
 
1.0%
8.44 1
 
1.0%
2.86 1
 
1.0%
Other values (21) 21
21.0%
(Missing) 40
40.0%
ValueCountFrequency (%)
0.0 30
30.0%
0.02 1
 
1.0%
0.34 1
 
1.0%
0.98 1
 
1.0%
0.99 1
 
1.0%
1.8 1
 
1.0%
2.22 1
 
1.0%
2.41 1
 
1.0%
2.63 1
 
1.0%
2.81 1
 
1.0%
ValueCountFrequency (%)
42.49 1
1.0%
15.49 1
1.0%
12.95 1
1.0%
12.63 1
1.0%
10.5 1
1.0%
8.44 1
1.0%
8.03 1
1.0%
7.81 1
1.0%
6.5 1
1.0%
6.27 1
1.0%

As( μg/L)
Real number (ℝ)

MISSING  ZEROS 

Distinct22
Distinct (%)36.7%
Missing40
Missing (%)40.0%
Infinite0
Infinite (%)0.0%
Mean0.16166667
Minimum0
Maximum0.77
Zeros34
Zeros (%)34.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-11T01:03:22.512097image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30.3025
95-th percentile0.583
Maximum0.77
Range0.77
Interquartile range (IQR)0.3025

Descriptive statistics

Standard deviation0.22411534
Coefficient of variation (CV)1.3862804
Kurtosis0.064157843
Mean0.16166667
Median Absolute Deviation (MAD)0
Skewness1.1171006
Sum9.7
Variance0.050227684
MonotonicityNot monotonic
2023-12-11T01:03:22.979511image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=22)
ValueCountFrequency (%)
0.0 34
34.0%
0.52 2
 
2.0%
0.44 2
 
2.0%
0.48 2
 
2.0%
0.22 2
 
2.0%
0.23 2
 
2.0%
0.38 1
 
1.0%
0.02 1
 
1.0%
0.25 1
 
1.0%
0.2 1
 
1.0%
Other values (12) 12
 
12.0%
(Missing) 40
40.0%
ValueCountFrequency (%)
0.0 34
34.0%
0.02 1
 
1.0%
0.03 1
 
1.0%
0.2 1
 
1.0%
0.21 1
 
1.0%
0.22 2
 
2.0%
0.23 2
 
2.0%
0.25 1
 
1.0%
0.27 1
 
1.0%
0.3 1
 
1.0%
ValueCountFrequency (%)
0.77 1
1.0%
0.73 1
1.0%
0.64 1
1.0%
0.58 1
1.0%
0.52 2
2.0%
0.49 1
1.0%
0.48 2
2.0%
0.44 2
2.0%
0.41 1
1.0%
0.38 1
1.0%

Cd( μg/L)
Real number (ℝ)

MISSING  ZEROS 

Distinct15
Distinct (%)25.0%
Missing40
Missing (%)40.0%
Infinite0
Infinite (%)0.0%
Mean0.0395
Minimum0
Maximum0.29
Zeros34
Zeros (%)34.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-11T01:03:23.337132image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30.0725
95-th percentile0.172
Maximum0.29
Range0.29
Interquartile range (IQR)0.0725

Descriptive statistics

Standard deviation0.066801629
Coefficient of variation (CV)1.6911805
Kurtosis3.2252545
Mean0.0395
Median Absolute Deviation (MAD)0
Skewness1.8931116
Sum2.37
Variance0.0044624576
MonotonicityNot monotonic
2023-12-11T01:03:23.656180image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=15)
ValueCountFrequency (%)
0.0 34
34.0%
0.01 4
 
4.0%
0.02 4
 
4.0%
0.1 3
 
3.0%
0.11 3
 
3.0%
0.17 2
 
2.0%
0.08 2
 
2.0%
0.21 1
 
1.0%
0.29 1
 
1.0%
0.22 1
 
1.0%
Other values (5) 5
 
5.0%
(Missing) 40
40.0%
ValueCountFrequency (%)
0.0 34
34.0%
0.01 4
 
4.0%
0.02 4
 
4.0%
0.03 1
 
1.0%
0.04 1
 
1.0%
0.07 1
 
1.0%
0.08 2
 
2.0%
0.1 3
 
3.0%
0.11 3
 
3.0%
0.12 1
 
1.0%
ValueCountFrequency (%)
0.29 1
 
1.0%
0.22 1
 
1.0%
0.21 1
 
1.0%
0.17 2
2.0%
0.14 1
 
1.0%
0.12 1
 
1.0%
0.11 3
3.0%
0.1 3
3.0%
0.08 2
2.0%
0.07 1
 
1.0%

Ni( μg/L)
Real number (ℝ)

MISSING 

Distinct35
Distinct (%)58.3%
Missing40
Missing (%)40.0%
Infinite0
Infinite (%)0.0%
Mean0.49466667
Minimum0.09
Maximum3.15
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-11T01:03:23.841698image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0.09
5-th percentile0.1695
Q10.25
median0.355
Q30.44
95-th percentile1.3115
Maximum3.15
Range3.06
Interquartile range (IQR)0.19

Descriptive statistics

Standard deviation0.50639124
Coefficient of variation (CV)1.023702
Kurtosis13.76801
Mean0.49466667
Median Absolute Deviation (MAD)0.09
Skewness3.4173852
Sum29.68
Variance0.25643209
MonotonicityNot monotonic
2023-12-11T01:03:24.040426image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=35)
ValueCountFrequency (%)
0.36 6
 
6.0%
0.31 4
 
4.0%
0.25 4
 
4.0%
0.44 3
 
3.0%
0.23 3
 
3.0%
0.28 3
 
3.0%
0.43 3
 
3.0%
0.39 2
 
2.0%
0.29 2
 
2.0%
0.17 2
 
2.0%
Other values (25) 28
28.0%
(Missing) 40
40.0%
ValueCountFrequency (%)
0.09 1
 
1.0%
0.14 1
 
1.0%
0.16 1
 
1.0%
0.17 2
2.0%
0.2 1
 
1.0%
0.22 2
2.0%
0.23 3
3.0%
0.24 1
 
1.0%
0.25 4
4.0%
0.26 1
 
1.0%
ValueCountFrequency (%)
3.15 1
1.0%
1.97 1
1.0%
1.91 1
1.0%
1.28 1
1.0%
1.11 1
1.0%
1.09 1
1.0%
0.86 2
2.0%
0.81 1
1.0%
0.78 1
1.0%
0.6 1
1.0%

COD(mg/L)
Real number (ℝ)

Distinct49
Distinct (%)49.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.2392
Minimum0.12
Maximum4.48
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-11T01:03:24.276560image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0.12
5-th percentile0.396
Q10.71
median1
Q31.41
95-th percentile3.366
Maximum4.48
Range4.36
Interquartile range (IQR)0.7

Descriptive statistics

Standard deviation0.86160724
Coefficient of variation (CV)0.69529312
Kurtosis2.9001059
Mean1.2392
Median Absolute Deviation (MAD)0.32
Skewness1.7149588
Sum123.92
Variance0.74236703
MonotonicityNot monotonic
2023-12-11T01:03:24.489603image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=49)
ValueCountFrequency (%)
0.72 5
 
5.0%
1.24 5
 
5.0%
0.88 4
 
4.0%
1.16 4
 
4.0%
0.92 4
 
4.0%
0.84 4
 
4.0%
0.68 4
 
4.0%
0.44 3
 
3.0%
0.48 3
 
3.0%
0.56 3
 
3.0%
Other values (39) 61
61.0%
ValueCountFrequency (%)
0.12 1
 
1.0%
0.16 1
 
1.0%
0.24 1
 
1.0%
0.28 1
 
1.0%
0.32 1
 
1.0%
0.4 3
3.0%
0.44 3
3.0%
0.48 3
3.0%
0.56 3
3.0%
0.6 1
 
1.0%
ValueCountFrequency (%)
4.48 1
1.0%
3.88 1
1.0%
3.52 1
1.0%
3.48 2
2.0%
3.36 2
2.0%
2.88 1
1.0%
2.8 1
1.0%
2.36 1
1.0%
2.32 1
1.0%
2.28 1
1.0%

T-N(μg/L)
Real number (ℝ)

Distinct98
Distinct (%)98.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean448.687
Minimum43.9
Maximum2873.2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-11T01:03:24.732214image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum43.9
5-th percentile76.865
Q1189.375
median253.95
Q3430.525
95-th percentile1444.83
Maximum2873.2
Range2829.3
Interquartile range (IQR)241.15

Descriptive statistics

Standard deviation514.68161
Coefficient of variation (CV)1.1470838
Kurtosis8.0157895
Mean448.687
Median Absolute Deviation (MAD)91.5
Skewness2.7459882
Sum44868.7
Variance264897.15
MonotonicityNot monotonic
2023-12-11T01:03:24.927896image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
277.7 2
 
2.0%
357.1 2
 
2.0%
1430.4 1
 
1.0%
189.9 1
 
1.0%
180.1 1
 
1.0%
381.8 1
 
1.0%
187.6 1
 
1.0%
214.1 1
 
1.0%
158.9 1
 
1.0%
94.7 1
 
1.0%
Other values (88) 88
88.0%
ValueCountFrequency (%)
43.9 1
1.0%
48.4 1
1.0%
52.2 1
1.0%
55.3 1
1.0%
59.1 1
1.0%
77.8 1
1.0%
94.7 1
1.0%
98.7 1
1.0%
129.6 1
1.0%
133.2 1
1.0%
ValueCountFrequency (%)
2873.2 1
1.0%
2439.7 1
1.0%
2154.0 1
1.0%
2152.9 1
1.0%
1595.5 1
1.0%
1436.9 1
1.0%
1430.4 1
1.0%
1301.2 1
1.0%
1281.9 1
1.0%
1116.7 1
1.0%

T-P(μg/L)
Real number (ℝ)

Distinct91
Distinct (%)91.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean39.082
Minimum6.6
Maximum323.2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-11T01:03:25.135058image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum6.6
5-th percentile15.88
Q122.175
median29.6
Q342.725
95-th percentile78.73
Maximum323.2
Range316.6
Interquartile range (IQR)20.55

Descriptive statistics

Standard deviation38.414647
Coefficient of variation (CV)0.9829243
Kurtosis31.956868
Mean39.082
Median Absolute Deviation (MAD)8.5
Skewness5.034275
Sum3908.2
Variance1475.6851
MonotonicityNot monotonic
2023-12-11T01:03:25.342459image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
29.6 4
 
4.0%
27.6 2
 
2.0%
36.5 2
 
2.0%
33.2 2
 
2.0%
29.9 2
 
2.0%
21.9 2
 
2.0%
26.5 2
 
2.0%
27.5 1
 
1.0%
30.2 1
 
1.0%
42.4 1
 
1.0%
Other values (81) 81
81.0%
ValueCountFrequency (%)
6.6 1
1.0%
11.4 1
1.0%
12.5 1
1.0%
14.5 1
1.0%
15.5 1
1.0%
15.9 1
1.0%
16.2 1
1.0%
16.6 1
1.0%
17.3 1
1.0%
17.5 1
1.0%
ValueCountFrequency (%)
323.2 1
1.0%
171.7 1
1.0%
154.5 1
1.0%
137.0 1
1.0%
85.0 1
1.0%
78.4 1
1.0%
75.7 1
1.0%
66.0 1
1.0%
64.5 1
1.0%
62.1 1
1.0%

DO(mg/L)
Real number (ℝ)

Distinct93
Distinct (%)93.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.4502
Minimum0.41
Maximum10.3
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-11T01:03:25.554507image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0.41
5-th percentile5.4335
Q16.775
median7.5
Q38.34
95-th percentile9.366
Maximum10.3
Range9.89
Interquartile range (IQR)1.565

Descriptive statistics

Standard deviation1.3946608
Coefficient of variation (CV)0.18719777
Kurtosis5.4219762
Mean7.4502
Median Absolute Deviation (MAD)0.835
Skewness-1.2902205
Sum745.02
Variance1.9450787
MonotonicityNot monotonic
2023-12-11T01:03:25.754231image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
9.28 2
 
2.0%
7.26 2
 
2.0%
7.12 2
 
2.0%
6.92 2
 
2.0%
6.07 2
 
2.0%
8.34 2
 
2.0%
6.34 2
 
2.0%
7.66 1
 
1.0%
7.01 1
 
1.0%
4.78 1
 
1.0%
Other values (83) 83
83.0%
ValueCountFrequency (%)
0.41 1
1.0%
4.58 1
1.0%
4.78 1
1.0%
4.92 1
1.0%
5.31 1
1.0%
5.44 1
1.0%
5.52 1
1.0%
5.69 1
1.0%
5.7 1
1.0%
5.75 1
1.0%
ValueCountFrequency (%)
10.3 1
1.0%
10.0 1
1.0%
9.65 1
1.0%
9.62 1
1.0%
9.48 1
1.0%
9.36 1
1.0%
9.31 1
1.0%
9.28 2
2.0%
9.25 1
1.0%
9.21 1
1.0%

수온(℃)
Real number (ℝ)

Distinct96
Distinct (%)96.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean18.4185
Minimum8.47
Maximum28.48
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-11T01:03:25.962213image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum8.47
5-th percentile10.037
Q112.9175
median18.655
Q323.6725
95-th percentile26.5815
Maximum28.48
Range20.01
Interquartile range (IQR)10.755

Descriptive statistics

Standard deviation5.5073313
Coefficient of variation (CV)0.29901085
Kurtosis-1.0816042
Mean18.4185
Median Absolute Deviation (MAD)5.39
Skewness0.012489377
Sum1841.85
Variance30.330698
MonotonicityNot monotonic
2023-12-11T01:03:26.190005image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
11.69 2
 
2.0%
23.86 2
 
2.0%
16.97 2
 
2.0%
24.43 2
 
2.0%
23.53 1
 
1.0%
26.63 1
 
1.0%
26.58 1
 
1.0%
25.93 1
 
1.0%
24.52 1
 
1.0%
25.12 1
 
1.0%
Other values (86) 86
86.0%
ValueCountFrequency (%)
8.47 1
1.0%
8.58 1
1.0%
9.3 1
1.0%
9.6 1
1.0%
9.98 1
1.0%
10.04 1
1.0%
10.05 1
1.0%
10.31 1
1.0%
10.53 1
1.0%
10.73 1
1.0%
ValueCountFrequency (%)
28.48 1
1.0%
28.18 1
1.0%
27.54 1
1.0%
26.63 1
1.0%
26.61 1
1.0%
26.58 1
1.0%
26.23 1
1.0%
26.15 1
1.0%
26.08 1
1.0%
25.95 1
1.0%

전기전도도(mS/㎝)
Real number (ℝ)

Distinct93
Distinct (%)93.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean50.2601
Minimum36.59
Maximum53.64
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-11T01:03:26.413424image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum36.59
5-th percentile45.37
Q148.985
median50.46
Q352.3775
95-th percentile53.391
Maximum53.64
Range17.05
Interquartile range (IQR)3.3925

Descriptive statistics

Standard deviation2.8597582
Coefficient of variation (CV)0.056899175
Kurtosis6.0830128
Mean50.2601
Median Absolute Deviation (MAD)1.635
Skewness-1.9691281
Sum5026.01
Variance8.1782172
MonotonicityNot monotonic
2023-12-11T01:03:26.605436image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
53.41 2
 
2.0%
50.49 2
 
2.0%
50.46 2
 
2.0%
50.18 2
 
2.0%
51.95 2
 
2.0%
52.4 2
 
2.0%
50.04 2
 
2.0%
50.55 1
 
1.0%
50.16 1
 
1.0%
49.65 1
 
1.0%
Other values (83) 83
83.0%
ValueCountFrequency (%)
36.59 1
1.0%
40.22 1
1.0%
41.46 1
1.0%
43.64 1
1.0%
44.61 1
1.0%
45.41 1
1.0%
45.65 1
1.0%
47.22 1
1.0%
47.32 1
1.0%
47.44 1
1.0%
ValueCountFrequency (%)
53.64 1
1.0%
53.49 1
1.0%
53.42 1
1.0%
53.41 2
2.0%
53.39 1
1.0%
53.38 1
1.0%
53.32 1
1.0%
53.28 1
1.0%
53.26 1
1.0%
53.24 1
1.0%

염분(psu)
Real number (ℝ)

Distinct88
Distinct (%)88.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean32.9544
Minimum23.18
Maximum35.27
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-11T01:03:26.827670image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum23.18
5-th percentile29.5525
Q132.0025
median32.96
Q334.45
95-th percentile35.2005
Maximum35.27
Range12.09
Interquartile range (IQR)2.4475

Descriptive statistics

Standard deviation2.0280599
Coefficient of variation (CV)0.061541399
Kurtosis6.1550341
Mean32.9544
Median Absolute Deviation (MAD)1.22
Skewness-1.9322762
Sum3295.44
Variance4.1130269
MonotonicityNot monotonic
2023-12-11T01:03:27.037903image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
32.85 3
 
3.0%
33.09 2
 
2.0%
35.27 2
 
2.0%
32.75 2
 
2.0%
32.78 2
 
2.0%
31.94 2
 
2.0%
32.01 2
 
2.0%
34.6 2
 
2.0%
34.45 2
 
2.0%
34.09 2
 
2.0%
Other values (78) 79
79.0%
ValueCountFrequency (%)
23.18 1
1.0%
25.82 1
1.0%
26.64 1
1.0%
28.85 1
1.0%
29.41 1
1.0%
29.56 1
1.0%
29.68 1
1.0%
30.7 1
1.0%
30.75 1
1.0%
30.88 1
1.0%
ValueCountFrequency (%)
35.27 2
2.0%
35.23 1
1.0%
35.22 1
1.0%
35.21 1
1.0%
35.2 1
1.0%
35.15 1
1.0%
35.14 1
1.0%
35.13 1
1.0%
35.12 1
1.0%
35.1 1
1.0%

Sample

2019년 분기조사정점pH총대장균군(MPN/100mL)WQI등급DIN(점수)DIN(μg/L)DIP(점수)DIP(μg/L)Chl-a(점수)Chl-a(μg/L)저층산소포화도(점수)저층산소포화도(DO,%)투명도(점수)투명도(m)Cu( μg/L)Pb( μg/L)Zn( μg/L)As( μg/L)Cd( μg/L)Ni( μg/L)COD(mg/L)T-N(μg/L)T-P(μg/L)DO(mg/L)수온(℃)전기전도도(mS/㎝)염분(psu)
01고리8.1323.020I159.3118.210.86972198.0115.00.610.940.00.00.170.250.72187.445.98.1514.4752.4634.42
11일광8.132.020I1157.719.710.68786196.815.50.470.432.220.480.010.250.56177.832.88.0215.1352.2334.38
21대변8.152.020I152.7115.710.91668197.3815.00.693.660.00.520.10.230.68171.511.48.0715.0252.1634.32
31해운대해수욕장8.14330.020I1114.5131.911.15158197.4917.00.172.760.00.220.080.31.24228.933.28.2713.0851.9634.19
41해운대8.13170.020I1105.2118.810.8004197.8617.00.041.380.00.310.080.221.0222.621.08.4312.6751.7334.09
51수영만8.081100.034III5522.3439.310.68094198.9915.50.760.00.00.520.00.361.08694.543.18.3612.2250.1832.85
61민락동8.1620.020I1106.5118.110.90798199.316.00.090.320.00.00.020.090.88206.720.38.5912.4451.9534.17
71광안리해수욕장8.11330.020I1107.4119.810.92968197.714.70.284.790.00.480.210.310.8235.423.48.4412.5151.8534.09
81남천만8.13230.020I1102.8116.912.06826195.716.50.11.690.00.00.110.241.0225.918.98.312.6451.9234.13
91이기대8.13130.032II583.9331.410.95204196.4216.50.111.890.00.00.020.280.68213.233.28.2612.9851.9534.17
2019년 분기조사정점pH총대장균군(MPN/100mL)WQI등급DIN(점수)DIN(μg/L)DIP(점수)DIP(μg/L)Chl-a(점수)Chl-a(μg/L)저층산소포화도(점수)저층산소포화도(DO,%)투명도(점수)투명도(m)Cu( μg/L)Pb( μg/L)Zn( μg/L)As( μg/L)Cd( μg/L)Ni( μg/L)COD(mg/L)T-N(μg/L)T-P(μg/L)DO(mg/L)수온(℃)전기전도도(mS/㎝)염분(psu)
904자갈치시장8.19220.022I150.8237.411.36881110.7214.0<NA><NA><NA><NA><NA><NA>1.24178.426.18.3719.6748.8531.87
914송도해수욕장8.211.820I135.2115.714.010141108.9315.0<NA><NA><NA><NA><NA><NA>0.76149.328.08.8119.9448.9731.98
924남외항8.212.020I130.919.912.050581108.7614.0<NA><NA><NA><NA><NA><NA>1.16129.616.28.2820.2749.1232.08
9345부두8.1790.040III1200.1130.313.375222375.812.8<NA><NA><NA><NA><NA><NA>0.92322.740.87.4518.9348.9631.94
944북내항8.111300.030II1164.0121.513.92688282.5213.5<NA><NA><NA><NA><NA><NA>0.48277.728.77.8818.8948.831.86
954남항8.143500.039III3270.9445.013.8077199.141.7<NA><NA><NA><NA><NA><NA>1.8423.249.37.2919.4248.5131.65
964감천항8.0613.020I1131.2128.211.71128198.2815.0<NA><NA><NA><NA><NA><NA>1.04241.626.57.6519.248.8831.91
974발전소앞7.89490.045III1148.7448.111.61848284.1141.5<NA><NA><NA><NA><NA><NA>1.24317.236.56.4519.2749.2632.18
984다대포항8.04230.028II1167.5573.011.88406190.5813.0<NA><NA><NA><NA><NA><NA>1.24275.328.47.2618.8548.6131.71
994다대포어시장7.99330.053IV4286.55103.711.48742281.5641.3<NA><NA><NA><NA><NA><NA>1.48452.539.26.3418.7148.431.56