Overview

Dataset statistics

Number of variables29
Number of observations100
Missing cells270
Missing cells (%)9.3%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory25.4 KiB
Average record size in memory260.3 B

Variable types

Categorical8
Numeric21

Dataset

Description부산해양환경현황(2018년)
Author부산광역시
URLhttp://data.busan.go.kr/dataSet/detail.nm?contentId=10&publicdatapk=3077374

Alerts

DIN(점수) is highly imbalanced (50.5%)Imbalance
DIP(점수) is highly imbalanced (51.3%)Imbalance
Chl-a(점수) is highly imbalanced (59.3%)Imbalance
투명도(점수) is highly imbalanced (80.6%)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 70 (70.0%) missing valuesMissing
Ni( μg/L) has 40 (40.0%) missing valuesMissing
DIP(μg/L) has 20 (20.0%) zerosZeros
Pb( μg/L) has 35 (35.0%) zerosZeros
As( μg/L) has 50 (50.0%) zerosZeros
Cd( μg/L) has 21 (21.0%) zerosZeros
Ni( μg/L) has 38 (38.0%) zerosZeros

Reproduction

Analysis started2023-12-10 16:01:16.909430
Analysis finished2023-12-10 16:01:17.211961
Duration0.3 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

2018년 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

2023-12-11T01:01:17.281831image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T01:01:17.409456image/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

2023-12-11T01:01:17.539359image/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)

Distinct38
Distinct (%)38.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8.2253
Minimum7.8
Maximum8.7
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-11T01:01:17.673740image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum7.8
5-th percentile7.9595
Q18.1
median8.2
Q38.3
95-th percentile8.4525
Maximum8.7
Range0.9
Interquartile range (IQR)0.2

Descriptive statistics

Standard deviation0.1632712
Coefficient of variation (CV)0.019849878
Kurtosis0.17938735
Mean8.2253
Median Absolute Deviation (MAD)0.1
Skewness-0.04464784
Sum822.53
Variance0.026657485
MonotonicityNot monotonic
2023-12-11T01:01:17.835706image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=38)
ValueCountFrequency (%)
8.2 20
20.0%
8.3 18
18.0%
8.1 9
 
9.0%
8.4 8
 
8.0%
8.38 3
 
3.0%
8.27 2
 
2.0%
8.15 2
 
2.0%
8.39 2
 
2.0%
8.11 2
 
2.0%
7.96 2
 
2.0%
Other values (28) 32
32.0%
ValueCountFrequency (%)
7.8 1
1.0%
7.87 1
1.0%
7.9 2
2.0%
7.95 1
1.0%
7.96 2
2.0%
7.97 1
1.0%
7.99 1
1.0%
8.0 1
1.0%
8.01 1
1.0%
8.02 1
1.0%
ValueCountFrequency (%)
8.7 1
 
1.0%
8.6 1
 
1.0%
8.53 1
 
1.0%
8.51 1
 
1.0%
8.5 1
 
1.0%
8.45 1
 
1.0%
8.44 1
 
1.0%
8.42 1
 
1.0%
8.4 8
8.0%
8.39 2
 
2.0%

총대장균군(MPN/100mL)
Real number (ℝ)

Distinct41
Distinct (%)41.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean544.988
Minimum1.8
Maximum13000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-11T01:01:18.003773image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1.8
5-th percentile1.8
Q113
median130
Q3460
95-th percentile1720
Maximum13000
Range12998.2
Interquartile range (IQR)447

Descriptive statistics

Standard deviation1499.1299
Coefficient of variation (CV)2.7507577
Kurtosis49.62368
Mean544.988
Median Absolute Deviation (MAD)128
Skewness6.4387091
Sum54498.8
Variance2247390.6
MonotonicityNot monotonic
2023-12-11T01:01:18.160975image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=41)
ValueCountFrequency (%)
130.0 12
 
12.0%
1.8 11
 
11.0%
2.0 6
 
6.0%
1300.0 5
 
5.0%
20.0 4
 
4.0%
45.0 4
 
4.0%
330.0 3
 
3.0%
460.0 3
 
3.0%
790.0 3
 
3.0%
13.0 3
 
3.0%
Other values (31) 46
46.0%
ValueCountFrequency (%)
1.8 11
11.0%
2.0 6
6.0%
4.0 2
 
2.0%
5.0 2
 
2.0%
8.0 1
 
1.0%
11.0 2
 
2.0%
13.0 3
 
3.0%
17.0 3
 
3.0%
20.0 4
 
4.0%
23.0 2
 
2.0%
ValueCountFrequency (%)
13000.0 1
 
1.0%
4900.0 2
 
2.0%
2300.0 1
 
1.0%
2100.0 1
 
1.0%
1700.0 2
 
2.0%
1400.0 1
 
1.0%
1300.0 5
5.0%
1100.0 3
3.0%
790.0 3
3.0%
780.0 1
 
1.0%

WQI
Real number (ℝ)

Distinct21
Distinct (%)21.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean30.22
Minimum20
Maximum66
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-11T01:01:18.608441image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20
5-th percentile20
Q120
median30
Q337.25
95-th percentile48.2
Maximum66
Range46
Interquartile range (IQR)17.25

Descriptive statistics

Standard deviation10.628321
Coefficient of variation (CV)0.35169825
Kurtosis0.36051686
Mean30.22
Median Absolute Deviation (MAD)10
Skewness0.91489601
Sum3022
Variance112.96121
MonotonicityNot monotonic
2023-12-11T01:01:18.780107image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
20 38
38.0%
30 14
 
14.0%
42 7
 
7.0%
32 5
 
5.0%
40 5
 
5.0%
36 4
 
4.0%
28 3
 
3.0%
24 3
 
3.0%
46 3
 
3.0%
34 3
 
3.0%
Other values (11) 15
 
15.0%
ValueCountFrequency (%)
20 38
38.0%
24 3
 
3.0%
26 2
 
2.0%
28 3
 
3.0%
29 2
 
2.0%
30 14
 
14.0%
32 5
 
5.0%
34 3
 
3.0%
36 4
 
4.0%
37 1
 
1.0%
ValueCountFrequency (%)
66 1
 
1.0%
56 2
 
2.0%
54 1
 
1.0%
52 1
 
1.0%
48 2
 
2.0%
46 3
3.0%
44 1
 
1.0%
42 7
7.0%
40 5
5.0%
39 1
 
1.0%

등급
Categorical

Distinct5
Distinct (%)5.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
I
38 
II
29 
III
26 
IV
6 
V
 
1

Length

Max length3
Median length2
Mean length1.87
Min length1

Unique

Unique1 ?
Unique (%)1.0%

Sample

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

Common Values

ValueCountFrequency (%)
I 38
38.0%
II 29
29.0%
III 26
26.0%
IV 6
 
6.0%
V 1
 
1.0%

Length

2023-12-11T01:01:18.946372image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T01:01:19.089890image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 38
38.0%
ii 29
29.0%
iii 26
26.0%
iv 6
 
6.0%
v 1
 
1.0%

DIN(점수)
Categorical

IMBALANCE 

Distinct5
Distinct (%)5.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
1
76 
5
15 
4
 
4
3
 
4
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 76
76.0%
5 15
 
15.0%
4 4
 
4.0%
3 4
 
4.0%
2 1
 
1.0%

Length

2023-12-11T01:01:19.241473image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T01:01:19.391288image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 76
76.0%
5 15
 
15.0%
4 4
 
4.0%
3 4
 
4.0%
2 1
 
1.0%

DIN(μg/L)
Real number (ℝ)

Distinct99
Distinct (%)99.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean222.73
Minimum1.5
Maximum2059.1
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-11T01:01:19.542766image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1.5
5-th percentile11.475
Q144.475
median112
Q3219.275
95-th percentile959.03
Maximum2059.1
Range2057.6
Interquartile range (IQR)174.8

Descriptive statistics

Standard deviation366.84979
Coefficient of variation (CV)1.6470605
Kurtosis13.623728
Mean222.73
Median Absolute Deviation (MAD)73.6
Skewness3.5614279
Sum22273
Variance134578.77
MonotonicityNot monotonic
2023-12-11T01:01:19.721127image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
162.9 2
 
2.0%
129.2 1
 
1.0%
7.8 1
 
1.0%
121.7 1
 
1.0%
155.7 1
 
1.0%
51.7 1
 
1.0%
53.4 1
 
1.0%
39.0 1
 
1.0%
70.6 1
 
1.0%
11.6 1
 
1.0%
Other values (89) 89
89.0%
ValueCountFrequency (%)
1.5 1
1.0%
7.0 1
1.0%
7.8 1
1.0%
8.7 1
1.0%
9.1 1
1.0%
11.6 1
1.0%
13.6 1
1.0%
14.2 1
1.0%
14.3 1
1.0%
15.5 1
1.0%
ValueCountFrequency (%)
2059.1 1
1.0%
1970.3 1
1.0%
1760.1 1
1.0%
1205.5 1
1.0%
1104.0 1
1.0%
951.4 1
1.0%
619.0 1
1.0%
574.0 1
1.0%
498.4 1
1.0%
447.3 1
1.0%

DIP(점수)
Categorical

IMBALANCE 

Distinct4
Distinct (%)4.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
1
81 
5
10 
4
 
6
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 81
81.0%
5 10
 
10.0%
4 6
 
6.0%
3 3
 
3.0%

Length

2023-12-11T01:01:19.919053image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T01:01:20.043005image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 81
81.0%
5 10
 
10.0%
4 6
 
6.0%
3 3
 
3.0%

DIP(μg/L)
Real number (ℝ)

ZEROS 

Distinct74
Distinct (%)74.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean25.199
Minimum0
Maximum179.9
Zeros20
Zeros (%)20.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-11T01:01:20.201524image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q16.15
median18.6
Q332.575
95-th percentile63.295
Maximum179.9
Range179.9
Interquartile range (IQR)26.425

Descriptive statistics

Standard deviation32.306867
Coefficient of variation (CV)1.2820694
Kurtosis10.223903
Mean25.199
Median Absolute Deviation (MAD)13.95
Skewness2.924294
Sum2519.9
Variance1043.7336
MonotonicityNot monotonic
2023-12-11T01:01:20.374884image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 20
 
20.0%
12.2 3
 
3.0%
20.4 2
 
2.0%
18.7 2
 
2.0%
12.7 2
 
2.0%
7.8 2
 
2.0%
18.9 2
 
2.0%
12.1 1
 
1.0%
166.7 1
 
1.0%
78.4 1
 
1.0%
Other values (64) 64
64.0%
ValueCountFrequency (%)
0.0 20
20.0%
2.1 1
 
1.0%
2.3 1
 
1.0%
2.5 1
 
1.0%
2.7 1
 
1.0%
4.5 1
 
1.0%
6.7 1
 
1.0%
6.8 1
 
1.0%
7.8 2
 
2.0%
8.3 1
 
1.0%
ValueCountFrequency (%)
179.9 1
1.0%
166.7 1
1.0%
144.9 1
1.0%
135.1 1
1.0%
78.4 1
1.0%
62.5 1
1.0%
61.6 1
1.0%
58.7 1
1.0%
56.7 1
1.0%
54.6 1
1.0%

Chl-a(점수)
Categorical

IMBALANCE 

Distinct4
Distinct (%)4.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
1
84 
5
11 
4
 
4
3
 
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 84
84.0%
5 11
 
11.0%
4 4
 
4.0%
3 1
 
1.0%

Length

2023-12-11T01:01:20.523837image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T01:01:20.653640image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 84
84.0%
5 11
 
11.0%
4 4
 
4.0%
3 1
 
1.0%

Chl-a(μg/L)
Real number (ℝ)

Distinct88
Distinct (%)88.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.1934
Minimum0.12
Maximum29.1
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-11T01:01:20.819606image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0.12
5-th percentile0.2285
Q10.4375
median1.035
Q33.7125
95-th percentile11.495
Maximum29.1
Range28.98
Interquartile range (IQR)3.275

Descriptive statistics

Standard deviation4.6329577
Coefficient of variation (CV)1.4507916
Kurtosis9.7975833
Mean3.1934
Median Absolute Deviation (MAD)0.74
Skewness2.698542
Sum319.34
Variance21.464297
MonotonicityNot monotonic
2023-12-11T01:01:20.995102image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.36 3
 
3.0%
0.53 3
 
3.0%
0.38 3
 
3.0%
0.5 2
 
2.0%
0.69 2
 
2.0%
1.33 2
 
2.0%
0.23 2
 
2.0%
0.6 2
 
2.0%
0.32 2
 
2.0%
1.3 1
 
1.0%
Other values (78) 78
78.0%
ValueCountFrequency (%)
0.12 1
1.0%
0.13 1
1.0%
0.15 1
1.0%
0.16 1
1.0%
0.2 1
1.0%
0.23 2
2.0%
0.25 1
1.0%
0.29 1
1.0%
0.3 1
1.0%
0.31 1
1.0%
ValueCountFrequency (%)
29.1 1
1.0%
16.67 1
1.0%
14.93 1
1.0%
14.59 1
1.0%
11.78 1
1.0%
11.48 1
1.0%
11.43 1
1.0%
11.38 1
1.0%
11.05 1
1.0%
10.09 1
1.0%

저층산소포화도(점수)
Categorical

Distinct4
Distinct (%)4.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
1
59 
2
30 
3
9 
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 59
59.0%
2 30
30.0%
3 9
 
9.0%
4 2
 
2.0%

Length

2023-12-11T01:01:21.144649image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T01:01:21.276860image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 59
59.0%
2 30
30.0%
3 9
 
9.0%
4 2
 
2.0%

저층산소포화도(DO,%)
Real number (ℝ)

Distinct91
Distinct (%)91.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean91.4937
Minimum55.82
Maximum112.9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-11T01:01:21.426346image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum55.82
5-th percentile73.495
Q185.6925
median92.95
Q397.3975
95-th percentile108.51
Maximum112.9
Range57.08
Interquartile range (IQR)11.705

Descriptive statistics

Standard deviation10.081737
Coefficient of variation (CV)0.11019051
Kurtosis1.438082
Mean91.4937
Median Absolute Deviation (MAD)6.05
Skewness-0.66165756
Sum9149.37
Variance101.64143
MonotonicityNot monotonic
2023-12-11T01:01:21.644061image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
95.7 4
 
4.0%
94.4 3
 
3.0%
96.4 2
 
2.0%
77.15 2
 
2.0%
86.2 2
 
2.0%
95.5 2
 
2.0%
78.5 1
 
1.0%
83.6 1
 
1.0%
103.5 1
 
1.0%
96.7 1
 
1.0%
Other values (81) 81
81.0%
ValueCountFrequency (%)
55.82 1
1.0%
61.63 1
1.0%
68.81 1
1.0%
69.73 1
1.0%
71.5 1
1.0%
73.6 1
1.0%
77.15 2
2.0%
78.5 1
1.0%
79.32 1
1.0%
80.88 1
1.0%
ValueCountFrequency (%)
112.9 1
1.0%
111.5 1
1.0%
110.5 1
1.0%
108.9 1
1.0%
108.7 1
1.0%
108.5 1
1.0%
106.0 1
1.0%
105.1 1
1.0%
103.88 1
1.0%
103.7 1
1.0%

투명도(점수)
Categorical

IMBALANCE 

Distinct2
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
1
97 
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 97
97.0%
3 3
 
3.0%

Length

2023-12-11T01:01:21.865023image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T01:01:22.007867image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 97
97.0%
3 3
 
3.0%

투명도(m)
Real number (ℝ)

Distinct30
Distinct (%)30.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.237
Minimum2
Maximum7.9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-11T01:01:22.185386image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile2.5
Q13.5
median4.45
Q35
95-th percentile6
Maximum7.9
Range5.9
Interquartile range (IQR)1.5

Descriptive statistics

Standard deviation1.13624
Coefficient of variation (CV)0.26817088
Kurtosis0.3071611
Mean4.237
Median Absolute Deviation (MAD)0.95
Skewness0.35099801
Sum423.7
Variance1.2910414
MonotonicityNot monotonic
2023-12-11T01:01:22.393053image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%)
4.5 16
16.0%
3.5 12
12.0%
5.0 12
12.0%
3.0 9
 
9.0%
4.0 7
 
7.0%
5.5 7
 
7.0%
2.5 4
 
4.0%
2.0 3
 
3.0%
3.2 2
 
2.0%
6.0 2
 
2.0%
Other values (20) 26
26.0%
ValueCountFrequency (%)
2.0 3
 
3.0%
2.5 4
 
4.0%
2.7 2
 
2.0%
2.9 1
 
1.0%
3.0 9
9.0%
3.1 2
 
2.0%
3.2 2
 
2.0%
3.3 1
 
1.0%
3.5 12
12.0%
3.8 1
 
1.0%
ValueCountFrequency (%)
7.9 1
 
1.0%
7.1 1
 
1.0%
6.8 1
 
1.0%
6.5 1
 
1.0%
6.0 2
 
2.0%
5.8 1
 
1.0%
5.6 1
 
1.0%
5.5 7
7.0%
5.3 1
 
1.0%
5.2 2
 
2.0%

Cu( μg/L)
Real number (ℝ)

MISSING 

Distinct27
Distinct (%)45.0%
Missing40
Missing (%)40.0%
Infinite0
Infinite (%)0.0%
Mean1.5366667
Minimum0
Maximum8.4
Zeros1
Zeros (%)1.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-11T01:01:22.571203image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.3
Q10.8
median1.1
Q31.85
95-th percentile3.87
Maximum8.4
Range8.4
Interquartile range (IQR)1.05

Descriptive statistics

Standard deviation1.4160062
Coefficient of variation (CV)0.92147906
Kurtosis10.042625
Mean1.5366667
Median Absolute Deviation (MAD)0.4
Skewness2.8042079
Sum92.2
Variance2.0050734
MonotonicityNot monotonic
2023-12-11T01:01:22.742751image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=27)
ValueCountFrequency (%)
1.3 7
 
7.0%
1.1 5
 
5.0%
0.3 5
 
5.0%
0.5 5
 
5.0%
1.0 5
 
5.0%
0.8 4
 
4.0%
0.7 3
 
3.0%
0.9 3
 
3.0%
1.5 2
 
2.0%
2.2 2
 
2.0%
Other values (17) 19
19.0%
(Missing) 40
40.0%
ValueCountFrequency (%)
0.0 1
 
1.0%
0.3 5
5.0%
0.5 5
5.0%
0.7 3
3.0%
0.8 4
4.0%
0.9 3
3.0%
1.0 5
5.0%
1.1 5
5.0%
1.2 1
 
1.0%
1.3 7
7.0%
ValueCountFrequency (%)
8.4 1
1.0%
5.9 1
1.0%
5.2 1
1.0%
3.8 1
1.0%
3.2 1
1.0%
2.7 2
2.0%
2.5 1
1.0%
2.4 1
1.0%
2.3 2
2.0%
2.2 2
2.0%

Pb( μg/L)
Real number (ℝ)

MISSING  ZEROS 

Distinct19
Distinct (%)31.7%
Missing40
Missing (%)40.0%
Infinite0
Infinite (%)0.0%
Mean1.655
Minimum0
Maximum29.2
Zeros35
Zeros (%)35.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-11T01:01:22.918654image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30.65
95-th percentile9.29
Maximum29.2
Range29.2
Interquartile range (IQR)0.65

Descriptive statistics

Standard deviation5.1928381
Coefficient of variation (CV)3.1376665
Kurtosis19.788027
Mean1.655
Median Absolute Deviation (MAD)0
Skewness4.3721895
Sum99.3
Variance26.965568
MonotonicityNot monotonic
2023-12-11T01:01:23.083049image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
0.0 35
35.0%
0.1 4
 
4.0%
1.2 2
 
2.0%
0.2 2
 
2.0%
0.5 2
 
2.0%
1.7 2
 
2.0%
4.2 1
 
1.0%
9.2 1
 
1.0%
25.1 1
 
1.0%
29.2 1
 
1.0%
Other values (9) 9
 
9.0%
(Missing) 40
40.0%
ValueCountFrequency (%)
0.0 35
35.0%
0.1 4
 
4.0%
0.2 2
 
2.0%
0.3 1
 
1.0%
0.5 2
 
2.0%
0.6 1
 
1.0%
0.8 1
 
1.0%
1.1 1
 
1.0%
1.2 2
 
2.0%
1.3 1
 
1.0%
ValueCountFrequency (%)
29.2 1
1.0%
25.1 1
1.0%
11.0 1
1.0%
9.2 1
1.0%
5.5 1
1.0%
4.2 1
1.0%
1.9 1
1.0%
1.7 2
2.0%
1.5 1
1.0%
1.3 1
1.0%

Zn( μg/L)
Real number (ℝ)

MISSING 

Distinct46
Distinct (%)76.7%
Missing40
Missing (%)40.0%
Infinite0
Infinite (%)0.0%
Mean4.755
Minimum0
Maximum13.3
Zeros1
Zeros (%)1.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-11T01:01:23.284373image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.985
Q12.225
median4.15
Q36.15
95-th percentile12.53
Maximum13.3
Range13.3
Interquartile range (IQR)3.925

Descriptive statistics

Standard deviation3.346459
Coefficient of variation (CV)0.70377688
Kurtosis0.68911133
Mean4.755
Median Absolute Deviation (MAD)2.05
Skewness1.0678008
Sum285.3
Variance11.198788
MonotonicityNot monotonic
2023-12-11T01:01:23.534854image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=46)
ValueCountFrequency (%)
4.1 3
 
3.0%
3.6 3
 
3.0%
13.3 2
 
2.0%
4.2 2
 
2.0%
4.3 2
 
2.0%
4.4 2
 
2.0%
3.3 2
 
2.0%
1.3 2
 
2.0%
1.4 2
 
2.0%
2.0 2
 
2.0%
Other values (36) 38
38.0%
(Missing) 40
40.0%
ValueCountFrequency (%)
0.0 1
1.0%
0.3 1
1.0%
0.7 1
1.0%
1.0 1
1.0%
1.1 1
1.0%
1.3 2
2.0%
1.4 2
2.0%
1.5 1
1.0%
1.7 1
1.0%
1.8 1
1.0%
ValueCountFrequency (%)
13.3 2
2.0%
13.1 1
1.0%
12.5 1
1.0%
11.2 1
1.0%
10.5 1
1.0%
9.8 1
1.0%
8.2 1
1.0%
7.9 1
1.0%
7.4 2
2.0%
7.3 1
1.0%

As( μg/L)
Real number (ℝ)

MISSING  ZEROS 

Distinct7
Distinct (%)11.7%
Missing40
Missing (%)40.0%
Infinite0
Infinite (%)0.0%
Mean0.068333333
Minimum0
Maximum0.9
Zeros50
Zeros (%)50.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-11T01:01:23.758237image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0.405
Maximum0.9
Range0.9
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.17802272
Coefficient of variation (CV)2.6052106
Kurtosis9.8746249
Mean0.068333333
Median Absolute Deviation (MAD)0
Skewness3.0534788
Sum4.1
Variance0.03169209
MonotonicityNot monotonic
2023-12-11T01:01:23.924410image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
0.0 50
50.0%
0.3 4
 
4.0%
0.2 2
 
2.0%
0.5 1
 
1.0%
0.4 1
 
1.0%
0.9 1
 
1.0%
0.7 1
 
1.0%
(Missing) 40
40.0%
ValueCountFrequency (%)
0.0 50
50.0%
0.2 2
 
2.0%
0.3 4
 
4.0%
0.4 1
 
1.0%
0.5 1
 
1.0%
0.7 1
 
1.0%
0.9 1
 
1.0%
ValueCountFrequency (%)
0.9 1
 
1.0%
0.7 1
 
1.0%
0.5 1
 
1.0%
0.4 1
 
1.0%
0.3 4
 
4.0%
0.2 2
 
2.0%
0.0 50
50.0%

Cd( μg/L)
Real number (ℝ)

MISSING  ZEROS 

Distinct7
Distinct (%)23.3%
Missing70
Missing (%)70.0%
Infinite0
Infinite (%)0.0%
Mean0.13333333
Minimum0
Maximum1.4
Zeros21
Zeros (%)21.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-11T01:01:24.098415image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30.1
95-th percentile0.83
Maximum1.4
Range1.4
Interquartile range (IQR)0.1

Descriptive statistics

Standard deviation0.32835361
Coefficient of variation (CV)2.4626521
Kurtosis9.3517286
Mean0.13333333
Median Absolute Deviation (MAD)0
Skewness3.0830673
Sum4
Variance0.10781609
MonotonicityNot monotonic
2023-12-11T01:01:24.305701image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
0.0 21
 
21.0%
0.1 4
 
4.0%
0.5 1
 
1.0%
0.2 1
 
1.0%
1.4 1
 
1.0%
1.1 1
 
1.0%
0.4 1
 
1.0%
(Missing) 70
70.0%
ValueCountFrequency (%)
0.0 21
21.0%
0.1 4
 
4.0%
0.2 1
 
1.0%
0.4 1
 
1.0%
0.5 1
 
1.0%
1.1 1
 
1.0%
1.4 1
 
1.0%
ValueCountFrequency (%)
1.4 1
 
1.0%
1.1 1
 
1.0%
0.5 1
 
1.0%
0.4 1
 
1.0%
0.2 1
 
1.0%
0.1 4
 
4.0%
0.0 21
21.0%

Ni( μg/L)
Real number (ℝ)

MISSING  ZEROS 

Distinct10
Distinct (%)16.7%
Missing40
Missing (%)40.0%
Infinite0
Infinite (%)0.0%
Mean0.25833333
Minimum0
Maximum1.7
Zeros38
Zeros (%)38.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-11T01:01:24.582786image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30.225
95-th percentile1.2
Maximum1.7
Range1.7
Interquartile range (IQR)0.225

Descriptive statistics

Standard deviation0.45965782
Coefficient of variation (CV)1.7793206
Kurtosis1.4015509
Mean0.25833333
Median Absolute Deviation (MAD)0
Skewness1.6727822
Sum15.5
Variance0.21128531
MonotonicityNot monotonic
2023-12-11T01:01:24.762594image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
0.0 38
38.0%
1.2 4
 
4.0%
1.1 4
 
4.0%
0.1 4
 
4.0%
0.2 3
 
3.0%
0.6 2
 
2.0%
0.4 2
 
2.0%
1.3 1
 
1.0%
1.7 1
 
1.0%
0.3 1
 
1.0%
(Missing) 40
40.0%
ValueCountFrequency (%)
0.0 38
38.0%
0.1 4
 
4.0%
0.2 3
 
3.0%
0.3 1
 
1.0%
0.4 2
 
2.0%
0.6 2
 
2.0%
1.1 4
 
4.0%
1.2 4
 
4.0%
1.3 1
 
1.0%
1.7 1
 
1.0%
ValueCountFrequency (%)
1.7 1
 
1.0%
1.3 1
 
1.0%
1.2 4
 
4.0%
1.1 4
 
4.0%
0.6 2
 
2.0%
0.4 2
 
2.0%
0.3 1
 
1.0%
0.2 3
 
3.0%
0.1 4
 
4.0%
0.0 38
38.0%

COD(mg/L)
Real number (ℝ)

Distinct55
Distinct (%)55.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.5048
Minimum0.16
Maximum10.6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-11T01:01:24.985753image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0.16
5-th percentile0.36
Q10.72
median1.04
Q31.8
95-th percentile3.462
Maximum10.6
Range10.44
Interquartile range (IQR)1.08

Descriptive statistics

Standard deviation1.4881814
Coefficient of variation (CV)0.98895626
Kurtosis16.581711
Mean1.5048
Median Absolute Deviation (MAD)0.4
Skewness3.5518076
Sum150.48
Variance2.2146838
MonotonicityNot monotonic
2023-12-11T01:01:25.220416image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.84 7
 
7.0%
0.72 5
 
5.0%
0.76 5
 
5.0%
1.44 4
 
4.0%
0.44 4
 
4.0%
0.8 4
 
4.0%
1.32 4
 
4.0%
0.64 4
 
4.0%
1.8 3
 
3.0%
1.0 3
 
3.0%
Other values (45) 57
57.0%
ValueCountFrequency (%)
0.16 1
 
1.0%
0.28 1
 
1.0%
0.32 2
2.0%
0.36 2
2.0%
0.4 1
 
1.0%
0.44 4
4.0%
0.48 1
 
1.0%
0.56 1
 
1.0%
0.6 2
2.0%
0.64 4
4.0%
ValueCountFrequency (%)
10.6 1
1.0%
7.68 1
1.0%
6.16 1
1.0%
4.72 1
1.0%
3.88 1
1.0%
3.44 1
1.0%
3.36 1
1.0%
3.2 1
1.0%
3.08 2
2.0%
2.6 1
1.0%

T-N(μg/L)
Real number (ℝ)

Distinct99
Distinct (%)99.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean296.75438
Minimum0.048
Maximum2982.1
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-11T01:01:25.468389image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0.048
5-th percentile0.15975
Q10.37675
median126.55
Q3230.4
95-th percentile1290.375
Maximum2982.1
Range2982.052
Interquartile range (IQR)230.02325

Descriptive statistics

Standard deviation512.58959
Coefficient of variation (CV)1.7273194
Kurtosis8.1914345
Mean296.75438
Median Absolute Deviation (MAD)126.157
Skewness2.6482814
Sum29675.438
Variance262748.09
MonotonicityNot monotonic
2023-12-11T01:01:25.708107image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.392 2
 
2.0%
182.4 1
 
1.0%
164.6 1
 
1.0%
1219.1 1
 
1.0%
334.8 1
 
1.0%
229.4 1
 
1.0%
216.7 1
 
1.0%
207.0 1
 
1.0%
178.8 1
 
1.0%
231.0 1
 
1.0%
Other values (89) 89
89.0%
ValueCountFrequency (%)
0.048 1
1.0%
0.063 1
1.0%
0.075 1
1.0%
0.124 1
1.0%
0.136 1
1.0%
0.161 1
1.0%
0.167 1
1.0%
0.172 1
1.0%
0.18 1
1.0%
0.216 1
1.0%
ValueCountFrequency (%)
2982.1 1
1.0%
2024.7 1
1.0%
1518.5 1
1.0%
1450.6 1
1.0%
1299.4 1
1.0%
1289.9 1
1.0%
1280.1 1
1.0%
1275.6 1
1.0%
1262.5 1
1.0%
1219.1 1
1.0%

T-P(μg/L)
Real number (ℝ)

Distinct81
Distinct (%)81.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean22.86134
Minimum0.015
Maximum184.4
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-11T01:01:26.332663image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0.015
5-th percentile0.027
Q10.046
median5.85
Q322.925
95-th percentile115.015
Maximum184.4
Range184.385
Interquartile range (IQR)22.879

Descriptive statistics

Standard deviation38.512544
Coefficient of variation (CV)1.6846145
Kurtosis4.4550285
Mean22.86134
Median Absolute Deviation (MAD)5.8205
Skewness2.2281711
Sum2286.134
Variance1483.2161
MonotonicityNot monotonic
2023-12-11T01:01:26.564953image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.03 3
 
3.0%
0.034 3
 
3.0%
0.029 2
 
2.0%
0.027 2
 
2.0%
0.041 2
 
2.0%
0.047 2
 
2.0%
0.06 2
 
2.0%
3.7 2
 
2.0%
13.4 2
 
2.0%
0.075 2
 
2.0%
Other values (71) 78
78.0%
ValueCountFrequency (%)
0.015 1
 
1.0%
0.021 1
 
1.0%
0.024 1
 
1.0%
0.025 1
 
1.0%
0.027 2
2.0%
0.029 2
2.0%
0.03 3
3.0%
0.032 1
 
1.0%
0.033 1
 
1.0%
0.034 3
3.0%
ValueCountFrequency (%)
184.4 1
1.0%
142.6 1
1.0%
131.6 1
1.0%
130.9 1
1.0%
119.1 1
1.0%
114.8 1
1.0%
112.0 1
1.0%
105.6 1
1.0%
104.6 1
1.0%
97.0 1
1.0%

DO(mg/L)
Real number (ℝ)

Distinct68
Distinct (%)68.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.9283
Minimum4.4
Maximum11.09
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-11T01:01:26.787248image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum4.4
5-th percentile6.0045
Q16.8925
median8.195
Q38.91
95-th percentile10.105
Maximum11.09
Range6.69
Interquartile range (IQR)2.0175

Descriptive statistics

Standard deviation1.3186679
Coefficient of variation (CV)0.16632416
Kurtosis-0.42275975
Mean7.9283
Median Absolute Deviation (MAD)0.995
Skewness-0.072221684
Sum792.83
Variance1.738885
MonotonicityNot monotonic
2023-12-11T01:01:26.989238image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
8.4 5
 
5.0%
6.9 5
 
5.0%
8.5 4
 
4.0%
8.3 4
 
4.0%
7.6 4
 
4.0%
8.7 3
 
3.0%
10.2 3
 
3.0%
6.51 2
 
2.0%
7.0 2
 
2.0%
8.2 2
 
2.0%
Other values (58) 66
66.0%
ValueCountFrequency (%)
4.4 1
1.0%
5.1 1
1.0%
5.44 1
1.0%
5.47 1
1.0%
5.9 1
1.0%
6.01 1
1.0%
6.2 1
1.0%
6.22 1
1.0%
6.33 1
1.0%
6.4 2
2.0%
ValueCountFrequency (%)
11.09 1
 
1.0%
10.5 1
 
1.0%
10.2 3
3.0%
10.1 2
2.0%
9.7 1
 
1.0%
9.65 1
 
1.0%
9.6 2
2.0%
9.5 1
 
1.0%
9.41 1
 
1.0%
9.4 1
 
1.0%

수온(℃)
Real number (ℝ)

Distinct75
Distinct (%)75.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean18.2042
Minimum7.3
Maximum29.5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-11T01:01:27.227675image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum7.3
5-th percentile8.895
Q111.375
median16.83
Q326.525
95-th percentile28.905
Maximum29.5
Range22.2
Interquartile range (IQR)15.15

Descriptive statistics

Standard deviation6.9581254
Coefficient of variation (CV)0.38222638
Kurtosis-1.2411171
Mean18.2042
Median Absolute Deviation (MAD)5.73
Skewness0.35671498
Sum1820.42
Variance48.415509
MonotonicityNot monotonic
2023-12-11T01:01:27.464843image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
11.1 4
 
4.0%
10.7 3
 
3.0%
27.9 3
 
3.0%
16.92 3
 
3.0%
11.3 2
 
2.0%
8.8 2
 
2.0%
16.77 2
 
2.0%
28.6 2
 
2.0%
29.0 2
 
2.0%
27.0 2
 
2.0%
Other values (65) 75
75.0%
ValueCountFrequency (%)
7.3 1
1.0%
8.2 1
1.0%
8.5 1
1.0%
8.8 2
2.0%
8.9 1
1.0%
9.0 1
1.0%
9.7 2
2.0%
9.8 1
1.0%
10.0 1
1.0%
10.5 1
1.0%
ValueCountFrequency (%)
29.5 1
1.0%
29.3 1
1.0%
29.1 1
1.0%
29.0 2
2.0%
28.9 1
1.0%
28.6 2
2.0%
28.5 1
1.0%
28.4 2
2.0%
28.3 1
1.0%
28.2 1
1.0%

전기전도도(mS/㎝)
Real number (ℝ)

Distinct48
Distinct (%)48.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean50.476
Minimum25.1
Maximum53.4
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-11T01:01:27.682657image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum25.1
5-th percentile44.28
Q150
median51.75
Q352.525
95-th percentile53.1
Maximum53.4
Range28.3
Interquartile range (IQR)2.525

Descriptive statistics

Standard deviation4.169614
Coefficient of variation (CV)0.082605872
Kurtosis18.324181
Mean50.476
Median Absolute Deviation (MAD)0.95
Skewness-3.916756
Sum5047.6
Variance17.385681
MonotonicityNot monotonic
2023-12-11T01:01:27.897738image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=48)
ValueCountFrequency (%)
52.6 7
 
7.0%
52.4 6
 
6.0%
52.7 6
 
6.0%
51.7 4
 
4.0%
53.0 4
 
4.0%
52.5 4
 
4.0%
52.2 4
 
4.0%
48.6 3
 
3.0%
53.1 3
 
3.0%
51.8 3
 
3.0%
Other values (38) 56
56.0%
ValueCountFrequency (%)
25.1 1
 
1.0%
31.8 1
 
1.0%
35.3 1
 
1.0%
41.9 1
 
1.0%
42.0 1
 
1.0%
44.4 1
 
1.0%
46.3 2
2.0%
47.5 1
 
1.0%
48.6 3
3.0%
48.7 2
2.0%
ValueCountFrequency (%)
53.4 1
 
1.0%
53.3 1
 
1.0%
53.2 1
 
1.0%
53.1 3
3.0%
53.0 4
4.0%
52.9 1
 
1.0%
52.8 1
 
1.0%
52.7 6
6.0%
52.6 7
7.0%
52.5 4
4.0%

염분(psu)
Real number (ℝ)

Distinct67
Distinct (%)67.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean33.094
Minimum15.5
Maximum35.3
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-11T01:01:28.124480image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum15.5
5-th percentile28.046
Q132.675
median33.975
Q334.6
95-th percentile35.0015
Maximum35.3
Range19.8
Interquartile range (IQR)1.925

Descriptive statistics

Standard deviation2.9759969
Coefficient of variation (CV)0.089925573
Kurtosis16.779452
Mean33.094
Median Absolute Deviation (MAD)0.7
Skewness-3.7504146
Sum3309.4
Variance8.8565576
MonotonicityNot monotonic
2023-12-11T01:01:28.362586image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
34.6 6
 
6.0%
34.2 4
 
4.0%
32.1 3
 
3.0%
34.5 3
 
3.0%
34.4 3
 
3.0%
33.7 3
 
3.0%
31.7 3
 
3.0%
33.95 3
 
3.0%
31.8 3
 
3.0%
31.9 3
 
3.0%
Other values (57) 66
66.0%
ValueCountFrequency (%)
15.5 1
 
1.0%
19.8 1
 
1.0%
22.2 1
 
1.0%
26.9 1
 
1.0%
27.02 1
 
1.0%
28.1 1
 
1.0%
29.33 1
 
1.0%
30.0 1
 
1.0%
31.6 1
 
1.0%
31.7 3
3.0%
ValueCountFrequency (%)
35.3 1
1.0%
35.19 1
1.0%
35.1 2
2.0%
35.03 1
1.0%
35.0 2
2.0%
34.9 1
1.0%
34.88 1
1.0%
34.84 1
1.0%
34.8 2
2.0%
34.75 1
1.0%

Sample

2018년 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)
01고리8.22.020I1129.2120.410.4194.413.52.00.83.60.0<NA>1.31.0182.423.78.511.351.834.0
11일광8.22.020I1113.8118.910.5194.015.52.11.53.30.0<NA>1.20.44130.522.28.211.652.134.2
21대변8.211.020I1117.1120.110.53195.713.01.30.011.20.0<NA>1.10.6133.225.88.311.452.034.2
31해운대해수욕장8.217.020I1105.8117.410.38196.114.51.00.013.30.0<NA>1.20.32110.518.98.411.352.434.5
41해운대8.2460.020I1219.8117.710.32196.215.01.80.34.30.0<NA>1.10.72230.218.98.211.251.534.4
51수영만8.1400.034III5951.4445.910.47195.715.01.10.10.70.0<NA>1.10.81104.561.58.311.152.533.7
61민락동8.220.020I1109.2132.410.51198.214.51.10.24.80.0<NA>1.20.44172.334.88.411.452.734.5
71광안리해수욕장8.12.020I1162.9116.510.3198.513.51.31.15.80.0<NA>1.20.72186.517.58.511.152.434.7
81남천만8.227.020I1168.7133.410.36194.714.51.31.36.10.3<NA>1.11.04190.635.28.411.151.434.6
91이기대8.1130.032II5498.4340.710.45194.614.50.00.02.30.3<NA>0.00.64511.441.48.511.152.233.7
2018년 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)
904자갈치시장7.96680.040III1204.7133.110.2380.8815.0<NA><NA><NA><NA><NA><NA>0.80.3920.0366.3316.7551.733.97
914송도해수욕장8.085.020I148.016.810.38199.2116.0<NA><NA><NA><NA><NA><NA>0.760.1720.0157.7917.3951.733.95
924남외항8.062.020I163.9112.211.63195.0115.5<NA><NA><NA><NA><NA><NA>0.840.220.0217.7217.1751.333.68
9345부두7.9130.040III1219.1133.210.33377.1513.0<NA><NA><NA><NA><NA><NA>0.840.3440.0346.2216.3151.633.89
944북내항7.99330.030II1165.3118.710.69284.4515.0<NA><NA><NA><NA><NA><NA>0.60.3430.0386.7816.5651.633.93
954남항8.051700.020I1107.6126.810.43193.314.5<NA><NA><NA><NA><NA><NA>0.760.5970.0297.2617.3251.633.9
964감천항8.1245.030II1162.9123.711.03285.1115.0<NA><NA><NA><NA><NA><NA>1.080.3280.0346.7916.9752.634.66
974발전소앞8.072300.042III2232.5124.011.33368.8114.5<NA><NA><NA><NA><NA><NA>1.440.3850.0436.0116.6652.234.63
984다대포항8.02130.054IV3251.6131.610.5461.6314.5<NA><NA><NA><NA><NA><NA>0.840.3890.0385.4416.2952.234.68
994다대포어시장7.951100.066V5387.1558.710.46455.8215.0<NA><NA><NA><NA><NA><NA>1.240.580.0614.416.3852.134.31