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_20211231
Author부산광역시
URLhttp://data.busan.go.kr/dataSet/detail.nm?contentId=10&publicdatapk=3077374

Alerts

용존무기인농도 점수 is highly imbalanced (62.7%)Imbalance
식물플랑크톤농도 점수 is highly imbalanced (84.9%)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
구리 has 8 (8.0%) zerosZeros
납 has 30 (30.0%) zerosZeros
아연 has 9 (9.0%) zerosZeros
비소 has 50 (50.0%) zerosZeros
니켈 has 27 (27.0%) zerosZeros

Reproduction

Analysis started2023-12-10 16:03:06.530036
Analysis finished2023-12-10 16:03:06.791344
Duration0.26 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

2021년 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

2023-12-11T01:03:06.855731image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T01:03:06.958716image/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

2023-12-11T01:03:07.076086image/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)

Distinct41
Distinct (%)41.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8.0989
Minimum7.77
Maximum8.34
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-11T01:03:07.179697image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum7.77
5-th percentile7.83
Q18.04
median8.12
Q38.19
95-th percentile8.26
Maximum8.34
Range0.57
Interquartile range (IQR)0.15

Descriptive statistics

Standard deviation0.12307422
Coefficient of variation (CV)0.015196411
Kurtosis0.36436295
Mean8.0989
Median Absolute Deviation (MAD)0.07
Skewness-0.85736549
Sum809.89
Variance0.015147263
MonotonicityNot monotonic
2023-12-11T01:03:07.280929image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=41)
ValueCountFrequency (%)
8.19 6
 
6.0%
8.07 6
 
6.0%
8.22 5
 
5.0%
8.11 5
 
5.0%
8.12 5
 
5.0%
8.15 5
 
5.0%
8.14 5
 
5.0%
8.01 4
 
4.0%
8.13 4
 
4.0%
8.02 4
 
4.0%
Other values (31) 51
51.0%
ValueCountFrequency (%)
7.77 1
1.0%
7.8 2
2.0%
7.82 1
1.0%
7.83 2
2.0%
7.84 1
1.0%
7.86 1
1.0%
7.87 1
1.0%
7.89 1
1.0%
7.9 1
1.0%
7.91 1
1.0%
ValueCountFrequency (%)
8.34 1
 
1.0%
8.29 2
 
2.0%
8.27 1
 
1.0%
8.26 3
3.0%
8.25 1
 
1.0%
8.23 2
 
2.0%
8.22 5
5.0%
8.21 2
 
2.0%
8.2 3
3.0%
8.19 6
6.0%

총대장균군
Real number (ℝ)

Distinct48
Distinct (%)48.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1084.588
Minimum1.8
Maximum16000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-11T01:03:07.382354image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1.8
5-th percentile2
Q120
median135
Q3540
95-th percentile3555
Maximum16000
Range15998.2
Interquartile range (IQR)520

Descriptive statistics

Standard deviation2931.5072
Coefficient of variation (CV)2.7028763
Kurtosis19.171076
Mean1084.588
Median Absolute Deviation (MAD)128.5
Skewness4.3111271
Sum108458.8
Variance8593734.6
MonotonicityNot monotonic
2023-12-11T01:03:07.520939image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=48)
ValueCountFrequency (%)
130.0 7
 
7.0%
220.0 5
 
5.0%
2.0 5
 
5.0%
350.0 5
 
5.0%
20.0 4
 
4.0%
3500.0 4
 
4.0%
540.0 3
 
3.0%
16000.0 3
 
3.0%
920.0 3
 
3.0%
2400.0 3
 
3.0%
Other values (38) 58
58.0%
ValueCountFrequency (%)
1.8 1
 
1.0%
2.0 5
5.0%
4.0 1
 
1.0%
5.0 3
3.0%
6.0 1
 
1.0%
7.0 2
 
2.0%
8.0 2
 
2.0%
11.0 3
3.0%
13.0 3
3.0%
14.0 1
 
1.0%
ValueCountFrequency (%)
16000.0 3
3.0%
9200.0 1
 
1.0%
4600.0 1
 
1.0%
3500.0 4
4.0%
3300.0 1
 
1.0%
2400.0 3
3.0%
1700.0 2
2.0%
1400.0 1
 
1.0%
1300.0 1
 
1.0%
920.0 3
3.0%

수질지수
Real number (ℝ)

Distinct26
Distinct (%)26.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean31.46
Minimum20
Maximum64
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-11T01:03:07.636719image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20
5-th percentile20
Q120
median30
Q339.25
95-th percentile52
Maximum64
Range44
Interquartile range (IQR)19.25

Descriptive statistics

Standard deviation10.96774
Coefficient of variation (CV)0.34862491
Kurtosis-0.22940168
Mean31.46
Median Absolute Deviation (MAD)10
Skewness0.78674564
Sum3146
Variance120.29131
MonotonicityNot monotonic
2023-12-11T01:03:07.726092image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=26)
ValueCountFrequency (%)
20 28
28.0%
30 18
18.0%
23 7
 
7.0%
46 5
 
5.0%
40 4
 
4.0%
26 4
 
4.0%
33 4
 
4.0%
52 3
 
3.0%
42 3
 
3.0%
49 3
 
3.0%
Other values (16) 21
21.0%
ValueCountFrequency (%)
20 28
28.0%
22 1
 
1.0%
23 7
 
7.0%
26 4
 
4.0%
28 1
 
1.0%
29 2
 
2.0%
30 18
18.0%
32 2
 
2.0%
33 4
 
4.0%
34 1
 
1.0%
ValueCountFrequency (%)
64 1
 
1.0%
56 2
 
2.0%
53 1
 
1.0%
52 3
3.0%
50 1
 
1.0%
49 3
3.0%
46 5
5.0%
45 1
 
1.0%
42 3
3.0%
41 1
 
1.0%

등급
Categorical

Distinct5
Distinct (%)5.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
I
36 
II
31 
III
22 
IV
10 
V
 
1

Length

Max length3
Median length2
Mean length1.85
Min length1

Unique

Unique1 ?
Unique (%)1.0%

Sample

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

Common Values

ValueCountFrequency (%)
I 36
36.0%
II 31
31.0%
III 22
22.0%
IV 10
 
10.0%
V 1
 
1.0%

Length

2023-12-11T01:03:07.835377image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T01:03:07.926749image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 36
36.0%
ii 31
31.0%
iii 22
22.0%
iv 10
 
10.0%
v 1
 
1.0%

용존무기질 질소농도 점수
Categorical

Distinct5
Distinct (%)5.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
1
73 
5
14 
4
 
7
2
 
4
3
 
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 row5

Common Values

ValueCountFrequency (%)
1 73
73.0%
5 14
 
14.0%
4 7
 
7.0%
2 4
 
4.0%
3 2
 
2.0%

Length

2023-12-11T01:03:08.013917image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T01:03:08.094878image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 73
73.0%
5 14
 
14.0%
4 7
 
7.0%
2 4
 
4.0%
3 2
 
2.0%

용존무기질 질소농도
Real number (ℝ)

Distinct99
Distinct (%)99.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean275.854
Minimum16.9
Maximum2667.2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-11T01:03:08.192183image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum16.9
5-th percentile31.885
Q183.225
median124.2
Q3231.9
95-th percentile1426.92
Maximum2667.2
Range2650.3
Interquartile range (IQR)148.675

Descriptive statistics

Standard deviation446.22599
Coefficient of variation (CV)1.6176165
Kurtosis11.730847
Mean275.854
Median Absolute Deviation (MAD)52.85
Skewness3.3186977
Sum27585.4
Variance199117.64
MonotonicityNot monotonic
2023-12-11T01:03:08.307762image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
174.4 2
 
2.0%
99.0 1
 
1.0%
166.6 1
 
1.0%
220.7 1
 
1.0%
50.3 1
 
1.0%
47.0 1
 
1.0%
30.6 1
 
1.0%
106.9 1
 
1.0%
76.6 1
 
1.0%
175.7 1
 
1.0%
Other values (89) 89
89.0%
ValueCountFrequency (%)
16.9 1
1.0%
24.6 1
1.0%
27.1 1
1.0%
30.6 1
1.0%
31.6 1
1.0%
31.9 1
1.0%
33.4 1
1.0%
33.7 1
1.0%
34.3 1
1.0%
35.1 1
1.0%
ValueCountFrequency (%)
2667.2 1
1.0%
2090.5 1
1.0%
1600.6 1
1.0%
1589.8 1
1.0%
1433.0 1
1.0%
1426.6 1
1.0%
1304.8 1
1.0%
946.0 1
1.0%
886.8 1
1.0%
728.7 1
1.0%

용존무기인농도 점수
Categorical

IMBALANCE 

Distinct4
Distinct (%)4.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
1
85 
5
12 
4
 
2
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 85
85.0%
5 12
 
12.0%
4 2
 
2.0%
2 1
 
1.0%

Length

2023-12-11T01:03:08.412589image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T01:03:08.495994image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 85
85.0%
5 12
 
12.0%
4 2
 
2.0%
2 1
 
1.0%

용존무기인농도
Real number (ℝ)

Distinct94
Distinct (%)94.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean25.736
Minimum3.6
Maximum207
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-11T01:03:08.609982image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3.6
5-th percentile6.475
Q111.975
median18.15
Q328.7
95-th percentile66.805
Maximum207
Range203.4
Interquartile range (IQR)16.725

Descriptive statistics

Standard deviation26.14628
Coefficient of variation (CV)1.0159419
Kurtosis23.269937
Mean25.736
Median Absolute Deviation (MAD)7.55
Skewness4.0178236
Sum2573.6
Variance683.62798
MonotonicityNot monotonic
2023-12-11T01:03:08.731730image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
11.9 2
 
2.0%
21.7 2
 
2.0%
10.6 2
 
2.0%
17.8 2
 
2.0%
10.9 2
 
2.0%
14.0 2
 
2.0%
14.7 1
 
1.0%
12.0 1
 
1.0%
30.3 1
 
1.0%
7.5 1
 
1.0%
Other values (84) 84
84.0%
ValueCountFrequency (%)
3.6 1
1.0%
4.4 1
1.0%
5.3 1
1.0%
5.4 1
1.0%
6.0 1
1.0%
6.5 1
1.0%
6.9 1
1.0%
7.1 1
1.0%
7.2 1
1.0%
7.4 1
1.0%
ValueCountFrequency (%)
207.0 1
1.0%
97.7 1
1.0%
84.6 1
1.0%
80.0 1
1.0%
78.3 1
1.0%
66.2 1
1.0%
64.9 1
1.0%
62.8 1
1.0%
57.1 1
1.0%
55.9 1
1.0%

식물플랑크톤농도 점수
Categorical

IMBALANCE 

Distinct4
Distinct (%)4.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
1
96 
2
 
2
5
 
1
4
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique2 ?
Unique (%)2.0%

Sample

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

Common Values

ValueCountFrequency (%)
1 96
96.0%
2 2
 
2.0%
5 1
 
1.0%
4 1
 
1.0%

Length

2023-12-11T01:03:08.847438image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T01:03:08.927266image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 96
96.0%
2 2
 
2.0%
5 1
 
1.0%
4 1
 
1.0%

식물플랑크톤농도
Real number (ℝ)

Distinct89
Distinct (%)89.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.9381
Minimum0.08
Maximum11.17
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-11T01:03:09.029232image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0.08
5-th percentile0.3185
Q10.715
median1.485
Q32.6625
95-th percentile5.92
Maximum11.17
Range11.09
Interquartile range (IQR)1.9475

Descriptive statistics

Standard deviation1.8176834
Coefficient of variation (CV)0.93786876
Kurtosis8.0177593
Mean1.9381
Median Absolute Deviation (MAD)0.855
Skewness2.4061307
Sum193.81
Variance3.3039731
MonotonicityNot monotonic
2023-12-11T01:03:09.147106image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.72 2
 
2.0%
0.57 2
 
2.0%
0.79 2
 
2.0%
2.24 2
 
2.0%
3.46 2
 
2.0%
2.13 2
 
2.0%
0.61 2
 
2.0%
0.97 2
 
2.0%
1.89 2
 
2.0%
0.54 2
 
2.0%
Other values (79) 80
80.0%
ValueCountFrequency (%)
0.08 1
1.0%
0.17 1
1.0%
0.22 1
1.0%
0.24 1
1.0%
0.29 1
1.0%
0.32 1
1.0%
0.33 1
1.0%
0.34 1
1.0%
0.35 1
1.0%
0.41 1
1.0%
ValueCountFrequency (%)
11.17 1
1.0%
8.95 1
1.0%
6.48 1
1.0%
6.35 1
1.0%
6.11 1
1.0%
5.91 1
1.0%
4.32 1
1.0%
3.92 1
1.0%
3.78 1
1.0%
3.64 1
1.0%

저층산소포화도
Categorical

Distinct4
Distinct (%)4.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
1
54 
2
32 
3
12 
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 54
54.0%
2 32
32.0%
3 12
 
12.0%
4 2
 
2.0%

Length

2023-12-11T01:03:09.252409image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T01:03:09.341316image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 54
54.0%
2 32
32.0%
3 12
 
12.0%
4 2
 
2.0%

저층산소포화도.1
Real number (ℝ)

Distinct96
Distinct (%)96.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean90.8407
Minimum64.3
Maximum110.4
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-11T01:03:09.452342image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum64.3
5-th percentile72.795
Q185.3
median90.44
Q398.25
95-th percentile107.115
Maximum110.4
Range46.1
Interquartile range (IQR)12.95

Descriptive statistics

Standard deviation9.9539593
Coefficient of variation (CV)0.10957599
Kurtosis-0.00022563906
Mean90.8407
Median Absolute Deviation (MAD)6.77
Skewness-0.34463674
Sum9084.07
Variance99.081306
MonotonicityNot monotonic
2023-12-11T01:03:09.577996image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
97.9 2
 
2.0%
85.3 2
 
2.0%
88.45 2
 
2.0%
72.8 2
 
2.0%
88.8 1
 
1.0%
90.9 1
 
1.0%
82.1 1
 
1.0%
95.3 1
 
1.0%
86.9 1
 
1.0%
88.2 1
 
1.0%
Other values (86) 86
86.0%
ValueCountFrequency (%)
64.3 1
1.0%
66.9 1
1.0%
69.12 1
1.0%
70.38 1
1.0%
72.7 1
1.0%
72.8 2
2.0%
72.93 1
1.0%
74.5 1
1.0%
76.18 1
1.0%
76.95 1
1.0%
ValueCountFrequency (%)
110.4 1
1.0%
110.0 1
1.0%
109.21 1
1.0%
108.1 1
1.0%
107.4 1
1.0%
107.1 1
1.0%
106.8 1
1.0%
105.9 1
1.0%
104.3 1
1.0%
104.0 1
1.0%

투명도
Categorical

Distinct5
Distinct (%)5.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
1
63 
2
14 
3
13 
4
7 
5
 
3

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1
2nd row1
3rd row1
4th row2
5th row1

Common Values

ValueCountFrequency (%)
1 63
63.0%
2 14
 
14.0%
3 13
 
13.0%
4 7
 
7.0%
5 3
 
3.0%

Length

2023-12-11T01:03:09.696272image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T01:03:09.792395image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 63
63.0%
2 14
 
14.0%
3 13
 
13.0%
4 7
 
7.0%
5 3
 
3.0%

투명도.1
Real number (ℝ)

Distinct39
Distinct (%)39.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.477
Minimum1.1
Maximum8.8
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-11T01:03:09.934184image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1.1
5-th percentile1.395
Q12.3
median3
Q34.275
95-th percentile7.215
Maximum8.8
Range7.7
Interquartile range (IQR)1.975

Descriptive statistics

Standard deviation1.7142219
Coefficient of variation (CV)0.4930175
Kurtosis0.80837632
Mean3.477
Median Absolute Deviation (MAD)0.8
Skewness1.1342868
Sum347.7
Variance2.9385566
MonotonicityNot monotonic
2023-12-11T01:03:10.309084image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=39)
ValueCountFrequency (%)
2.5 10
 
10.0%
2.2 6
 
6.0%
3.5 6
 
6.0%
2.3 5
 
5.0%
3.0 5
 
5.0%
2.0 4
 
4.0%
3.2 4
 
4.0%
5.5 4
 
4.0%
4.0 4
 
4.0%
3.6 3
 
3.0%
Other values (29) 49
49.0%
ValueCountFrequency (%)
1.1 1
 
1.0%
1.2 2
 
2.0%
1.3 2
 
2.0%
1.4 1
 
1.0%
1.5 1
 
1.0%
1.7 3
3.0%
1.9 3
3.0%
2.0 4
4.0%
2.2 6
6.0%
2.3 5
5.0%
ValueCountFrequency (%)
8.8 1
 
1.0%
8.5 1
 
1.0%
7.5 3
3.0%
7.2 1
 
1.0%
6.9 1
 
1.0%
6.2 1
 
1.0%
6.0 2
2.0%
5.8 1
 
1.0%
5.6 2
2.0%
5.5 4
4.0%

구리
Real number (ℝ)

MISSING  ZEROS 

Distinct52
Distinct (%)86.7%
Missing40
Missing (%)40.0%
Infinite0
Infinite (%)0.0%
Mean1.4191
Minimum0
Maximum9.7
Zeros8
Zeros (%)8.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-11T01:03:10.452850image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10.24675
median0.817
Q31.94175
95-th percentile4.1332
Maximum9.7
Range9.7
Interquartile range (IQR)1.695

Descriptive statistics

Standard deviation1.9608177
Coefficient of variation (CV)1.3817333
Kurtosis8.5687196
Mean1.4191
Median Absolute Deviation (MAD)0.654
Skewness2.783982
Sum85.146
Variance3.844806
MonotonicityNot monotonic
2023-12-11T01:03:10.576999image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 8
 
8.0%
0.16 2
 
2.0%
2.728 1
 
1.0%
0.581 1
 
1.0%
0.301 1
 
1.0%
0.878 1
 
1.0%
0.397 1
 
1.0%
0.824 1
 
1.0%
1.148 1
 
1.0%
0.249 1
 
1.0%
Other values (42) 42
42.0%
(Missing) 40
40.0%
ValueCountFrequency (%)
0.0 8
8.0%
0.1 1
 
1.0%
0.11 1
 
1.0%
0.16 2
 
2.0%
0.166 1
 
1.0%
0.2 1
 
1.0%
0.24 1
 
1.0%
0.249 1
 
1.0%
0.25 1
 
1.0%
0.301 1
 
1.0%
ValueCountFrequency (%)
9.7 1
1.0%
8.465 1
1.0%
8.051 1
1.0%
3.927 1
1.0%
3.3 1
1.0%
3.19 1
1.0%
2.75 1
1.0%
2.728 1
1.0%
2.706 1
1.0%
2.451 1
1.0%

납
Real number (ℝ)

MISSING  ZEROS 

Distinct27
Distinct (%)45.0%
Missing40
Missing (%)40.0%
Infinite0
Infinite (%)0.0%
Mean0.13863333
Minimum0
Maximum1.09
Zeros30
Zeros (%)30.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-11T01:03:10.718407image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0.0065
Q30.20325
95-th percentile0.5315
Maximum1.09
Range1.09
Interquartile range (IQR)0.20325

Descriptive statistics

Standard deviation0.21304205
Coefficient of variation (CV)1.5367303
Kurtosis5.8955225
Mean0.13863333
Median Absolute Deviation (MAD)0.0065
Skewness2.1561649
Sum8.318
Variance0.045386914
MonotonicityNot monotonic
2023-12-11T01:03:10.829333image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=27)
ValueCountFrequency (%)
0.0 30
30.0%
0.11 3
 
3.0%
0.32 2
 
2.0%
0.18 2
 
2.0%
0.25 1
 
1.0%
0.04 1
 
1.0%
0.481 1
 
1.0%
0.213 1
 
1.0%
0.29 1
 
1.0%
0.013 1
 
1.0%
Other values (17) 17
17.0%
(Missing) 40
40.0%
ValueCountFrequency (%)
0.0 30
30.0%
0.013 1
 
1.0%
0.02 1
 
1.0%
0.04 1
 
1.0%
0.06 1
 
1.0%
0.091 1
 
1.0%
0.1 1
 
1.0%
0.11 3
 
3.0%
0.15 1
 
1.0%
0.17 1
 
1.0%
ValueCountFrequency (%)
1.09 1
1.0%
0.64 1
1.0%
0.56 1
1.0%
0.53 1
1.0%
0.481 1
1.0%
0.47 1
1.0%
0.45 1
1.0%
0.41 1
1.0%
0.33 1
1.0%
0.32 2
2.0%

아연
Real number (ℝ)

MISSING  ZEROS 

Distinct52
Distinct (%)86.7%
Missing40
Missing (%)40.0%
Infinite0
Infinite (%)0.0%
Mean3.7476833
Minimum0
Maximum32.81
Zeros9
Zeros (%)9.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-11T01:03:10.944966image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10.37825
median1.783
Q34.39475
95-th percentile14.1395
Maximum32.81
Range32.81
Interquartile range (IQR)4.0165

Descriptive statistics

Standard deviation5.6773671
Coefficient of variation (CV)1.5149004
Kurtosis11.800639
Mean3.7476833
Median Absolute Deviation (MAD)1.652
Skewness3.050164
Sum224.861
Variance32.232498
MonotonicityNot monotonic
2023-12-11T01:03:11.089589image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 9
 
9.0%
1.806 1
 
1.0%
2.4 1
 
1.0%
8.089 1
 
1.0%
0.923 1
 
1.0%
1.604 1
 
1.0%
1.248 1
 
1.0%
0.091 1
 
1.0%
2.324 1
 
1.0%
3.246 1
 
1.0%
Other values (42) 42
42.0%
(Missing) 40
40.0%
ValueCountFrequency (%)
0.0 9
9.0%
0.015 1
 
1.0%
0.04 1
 
1.0%
0.091 1
 
1.0%
0.106 1
 
1.0%
0.32 1
 
1.0%
0.34 1
 
1.0%
0.391 1
 
1.0%
0.43 1
 
1.0%
0.437 1
 
1.0%
ValueCountFrequency (%)
32.81 1
1.0%
19.666 1
1.0%
16.98 1
1.0%
13.99 1
1.0%
10.28 1
1.0%
9.69 1
1.0%
9.37 1
1.0%
8.527 1
1.0%
8.089 1
1.0%
7.45 1
1.0%

비소
Real number (ℝ)

MISSING  ZEROS 

Distinct11
Distinct (%)18.3%
Missing40
Missing (%)40.0%
Infinite0
Infinite (%)0.0%
Mean0.0197
Minimum0
Maximum0.19
Zeros50
Zeros (%)50.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-11T01:03:11.194050image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0.1605
Maximum0.19
Range0.19
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.049728858
Coefficient of variation (CV)2.5243075
Kurtosis5.0549753
Mean0.0197
Median Absolute Deviation (MAD)0
Skewness2.4983145
Sum1.182
Variance0.0024729593
MonotonicityNot monotonic
2023-12-11T01:03:11.295756image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
0.0 50
50.0%
0.16 1
 
1.0%
0.14 1
 
1.0%
0.18 1
 
1.0%
0.02 1
 
1.0%
0.19 1
 
1.0%
0.17 1
 
1.0%
0.07 1
 
1.0%
0.08 1
 
1.0%
0.093 1
 
1.0%
(Missing) 40
40.0%
ValueCountFrequency (%)
0.0 50
50.0%
0.02 1
 
1.0%
0.07 1
 
1.0%
0.079 1
 
1.0%
0.08 1
 
1.0%
0.093 1
 
1.0%
0.14 1
 
1.0%
0.16 1
 
1.0%
0.17 1
 
1.0%
0.18 1
 
1.0%
ValueCountFrequency (%)
0.19 1
1.0%
0.18 1
1.0%
0.17 1
1.0%
0.16 1
1.0%
0.14 1
1.0%
0.093 1
1.0%
0.08 1
1.0%
0.079 1
1.0%
0.07 1
1.0%
0.02 1
1.0%

카드뮴
Real number (ℝ)

MISSING 

Distinct32
Distinct (%)53.3%
Missing40
Missing (%)40.0%
Infinite0
Infinite (%)0.0%
Mean0.0433
Minimum0
Maximum0.503
Zeros1
Zeros (%)1.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-11T01:03:11.433501image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.00785
Q10.02
median0.03
Q30.03825
95-th percentile0.13055
Maximum0.503
Range0.503
Interquartile range (IQR)0.01825

Descriptive statistics

Standard deviation0.06941555
Coefficient of variation (CV)1.6031305
Kurtosis33.797409
Mean0.0433
Median Absolute Deviation (MAD)0.01
Skewness5.4264382
Sum2.598
Variance0.0048185186
MonotonicityNot monotonic
2023-12-11T01:03:11.551213image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=32)
ValueCountFrequency (%)
0.03 9
 
9.0%
0.02 8
 
8.0%
0.05 5
 
5.0%
0.01 4
 
4.0%
0.031 2
 
2.0%
0.037 2
 
2.0%
0.023 2
 
2.0%
0.06 2
 
2.0%
0.038 2
 
2.0%
0.035 2
 
2.0%
Other values (22) 22
22.0%
(Missing) 40
40.0%
ValueCountFrequency (%)
0.0 1
 
1.0%
0.002 1
 
1.0%
0.005 1
 
1.0%
0.008 1
 
1.0%
0.009 1
 
1.0%
0.01 4
4.0%
0.016 1
 
1.0%
0.017 1
 
1.0%
0.019 1
 
1.0%
0.02 8
8.0%
ValueCountFrequency (%)
0.503 1
 
1.0%
0.212 1
 
1.0%
0.16 1
 
1.0%
0.129 1
 
1.0%
0.06 2
 
2.0%
0.053 1
 
1.0%
0.05 5
5.0%
0.046 1
 
1.0%
0.04 1
 
1.0%
0.039 1
 
1.0%

니켈
Real number (ℝ)

MISSING  ZEROS 

Distinct34
Distinct (%)56.7%
Missing40
Missing (%)40.0%
Infinite0
Infinite (%)0.0%
Mean0.30505
Minimum0
Maximum3.34
Zeros27
Zeros (%)27.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-11T01:03:11.657405image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0.1075
Q30.2925
95-th percentile1.60955
Maximum3.34
Range3.34
Interquartile range (IQR)0.2925

Descriptive statistics

Standard deviation0.59451845
Coefficient of variation (CV)1.9489213
Kurtosis12.314433
Mean0.30505
Median Absolute Deviation (MAD)0.1075
Skewness3.2710612
Sum18.303
Variance0.35345218
MonotonicityNot monotonic
2023-12-11T01:03:11.774286image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=34)
ValueCountFrequency (%)
0.0 27
27.0%
3.34 1
 
1.0%
0.119 1
 
1.0%
0.473 1
 
1.0%
0.29 1
 
1.0%
0.155 1
 
1.0%
2.057 1
 
1.0%
1.191 1
 
1.0%
0.117 1
 
1.0%
0.118 1
 
1.0%
Other values (24) 24
24.0%
(Missing) 40
40.0%
ValueCountFrequency (%)
0.0 27
27.0%
0.05 1
 
1.0%
0.07 1
 
1.0%
0.098 1
 
1.0%
0.117 1
 
1.0%
0.118 1
 
1.0%
0.119 1
 
1.0%
0.127 1
 
1.0%
0.149 1
 
1.0%
0.155 1
 
1.0%
ValueCountFrequency (%)
3.34 1
1.0%
2.057 1
1.0%
1.753 1
1.0%
1.602 1
1.0%
1.2 1
1.0%
1.191 1
1.0%
0.637 1
1.0%
0.628 1
1.0%
0.481 1
1.0%
0.473 1
1.0%

화학적산소요구량
Real number (ℝ)

Distinct40
Distinct (%)40.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.0452
Minimum0.24
Maximum2.68
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-11T01:03:11.899909image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0.24
5-th percentile0.358
Q10.68
median0.98
Q31.32
95-th percentile2.004
Maximum2.68
Range2.44
Interquartile range (IQR)0.64

Descriptive statistics

Standard deviation0.50223436
Coefficient of variation (CV)0.48051508
Kurtosis1.4204794
Mean1.0452
Median Absolute Deviation (MAD)0.34
Skewness0.98629485
Sum104.52
Variance0.25223935
MonotonicityNot monotonic
2023-12-11T01:03:12.034128image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=40)
ValueCountFrequency (%)
0.64 6
 
6.0%
1.24 5
 
5.0%
0.52 4
 
4.0%
0.76 4
 
4.0%
0.96 4
 
4.0%
1.08 4
 
4.0%
0.84 4
 
4.0%
1.32 4
 
4.0%
1.44 4
 
4.0%
0.68 3
 
3.0%
Other values (30) 58
58.0%
ValueCountFrequency (%)
0.24 2
 
2.0%
0.28 1
 
1.0%
0.32 2
 
2.0%
0.36 2
 
2.0%
0.44 3
3.0%
0.52 4
4.0%
0.56 2
 
2.0%
0.6 2
 
2.0%
0.64 6
6.0%
0.68 3
3.0%
ValueCountFrequency (%)
2.68 2
2.0%
2.48 1
1.0%
2.12 1
1.0%
2.08 1
1.0%
2.0 1
1.0%
1.84 1
1.0%
1.8 1
1.0%
1.72 1
1.0%
1.68 1
1.0%
1.6 2
2.0%

질소 총량
Real number (ℝ)

Distinct98
Distinct (%)98.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean605.351
Minimum178.1
Maximum3400.1
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-11T01:03:12.172502image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum178.1
5-th percentile222.835
Q1325.525
median407.6
Q3650.85
95-th percentile1587.055
Maximum3400.1
Range3222
Interquartile range (IQR)325.325

Descriptive statistics

Standard deviation537.92961
Coefficient of variation (CV)0.8886243
Kurtosis10.087725
Mean605.351
Median Absolute Deviation (MAD)112.5
Skewness2.9431316
Sum60535.1
Variance289368.26
MonotonicityNot monotonic
2023-12-11T01:03:12.301377image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
387.1 2
 
2.0%
817.5 2
 
2.0%
326.0 1
 
1.0%
225.5 1
 
1.0%
222.9 1
 
1.0%
350.3 1
 
1.0%
312.7 1
 
1.0%
240.2 1
 
1.0%
250.1 1
 
1.0%
254.4 1
 
1.0%
Other values (88) 88
88.0%
ValueCountFrequency (%)
178.1 1
1.0%
203.6 1
1.0%
207.8 1
1.0%
217.4 1
1.0%
221.6 1
1.0%
222.9 1
1.0%
225.5 1
1.0%
240.2 1
1.0%
250.1 1
1.0%
254.4 1
1.0%
ValueCountFrequency (%)
3400.1 1
1.0%
2703.4 1
1.0%
2475.9 1
1.0%
2155.9 1
1.0%
1658.4 1
1.0%
1583.3 1
1.0%
1571.7 1
1.0%
1340.1 1
1.0%
1283.4 1
1.0%
1266.4 1
1.0%

인 총량
Real number (ℝ)

Distinct94
Distinct (%)94.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean43.715
Minimum5.4
Maximum260.5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-11T01:03:12.434589image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum5.4
5-th percentile12.24
Q120.675
median30.45
Q348.075
95-th percentile110.74
Maximum260.5
Range255.1
Interquartile range (IQR)27.4

Descriptive statistics

Standard deviation42.613822
Coefficient of variation (CV)0.97481007
Kurtosis11.290018
Mean43.715
Median Absolute Deviation (MAD)11.1
Skewness3.056468
Sum4371.5
Variance1815.9379
MonotonicityNot monotonic
2023-12-11T01:03:12.589476image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
22.4 3
 
3.0%
24.4 2
 
2.0%
38.7 2
 
2.0%
57.5 2
 
2.0%
12.3 2
 
2.0%
20.7 1
 
1.0%
12.7 1
 
1.0%
11.0 1
 
1.0%
32.9 1
 
1.0%
11.1 1
 
1.0%
Other values (84) 84
84.0%
ValueCountFrequency (%)
5.4 1
1.0%
5.7 1
1.0%
10.8 1
1.0%
11.0 1
1.0%
11.1 1
1.0%
12.3 2
2.0%
12.7 1
1.0%
13.6 1
1.0%
14.6 1
1.0%
14.9 1
1.0%
ValueCountFrequency (%)
260.5 1
1.0%
234.1 1
1.0%
208.5 1
1.0%
123.7 1
1.0%
115.3 1
1.0%
110.5 1
1.0%
105.4 1
1.0%
97.8 1
1.0%
97.2 1
1.0%
91.1 1
1.0%

용존 산소량
Real number (ℝ)

Distinct84
Distinct (%)84.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.3516
Minimum4.9
Maximum9.7
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-11T01:03:12.739162image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum4.9
5-th percentile5.297
Q16.44
median7.12
Q38.53
95-th percentile9.5215
Maximum9.7
Range4.8
Interquartile range (IQR)2.09

Descriptive statistics

Standard deviation1.2505334
Coefficient of variation (CV)0.17010357
Kurtosis-0.90128057
Mean7.3516
Median Absolute Deviation (MAD)0.87
Skewness0.1284597
Sum735.16
Variance1.5638338
MonotonicityNot monotonic
2023-12-11T01:03:12.897096image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
8.22 3
 
3.0%
6.7 3
 
3.0%
6.79 3
 
3.0%
7.13 2
 
2.0%
6.46 2
 
2.0%
6.89 2
 
2.0%
7.4 2
 
2.0%
6.44 2
 
2.0%
7.56 2
 
2.0%
8.5 2
 
2.0%
Other values (74) 77
77.0%
ValueCountFrequency (%)
4.9 1
1.0%
5.08 1
1.0%
5.12 1
1.0%
5.17 1
1.0%
5.24 1
1.0%
5.3 1
1.0%
5.42 1
1.0%
5.52 1
1.0%
5.54 1
1.0%
5.68 1
1.0%
ValueCountFrequency (%)
9.7 1
1.0%
9.67 1
1.0%
9.65 1
1.0%
9.57 1
1.0%
9.55 1
1.0%
9.52 1
1.0%
9.42 1
1.0%
9.33 1
1.0%
9.32 1
1.0%
9.16 1
1.0%

수온
Real number (ℝ)

Distinct95
Distinct (%)95.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean17.8997
Minimum10.13
Maximum26.63
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-11T01:03:13.025340image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum10.13
5-th percentile11.6135
Q113.245
median18.38
Q322.6475
95-th percentile23.537
Maximum26.63
Range16.5
Interquartile range (IQR)9.4025

Descriptive statistics

Standard deviation4.5829146
Coefficient of variation (CV)0.25603304
Kurtosis-1.4701009
Mean17.8997
Median Absolute Deviation (MAD)4.56
Skewness-0.070835826
Sum1789.97
Variance21.003106
MonotonicityNot monotonic
2023-12-11T01:03:13.155625image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
19.92 2
 
2.0%
11.74 2
 
2.0%
11.62 2
 
2.0%
20.09 2
 
2.0%
20.17 2
 
2.0%
13.28 1
 
1.0%
23.43 1
 
1.0%
23.86 1
 
1.0%
24.41 1
 
1.0%
23.06 1
 
1.0%
Other values (85) 85
85.0%
ValueCountFrequency (%)
10.13 1
1.0%
11.0 1
1.0%
11.03 1
1.0%
11.38 1
1.0%
11.49 1
1.0%
11.62 2
2.0%
11.65 1
1.0%
11.67 1
1.0%
11.7 1
1.0%
11.74 2
2.0%
ValueCountFrequency (%)
26.63 1
1.0%
24.87 1
1.0%
24.7 1
1.0%
24.41 1
1.0%
23.86 1
1.0%
23.52 1
1.0%
23.46 1
1.0%
23.43 1
1.0%
23.32 1
1.0%
23.3 1
1.0%

전기전도도
Real number (ℝ)

Distinct58
Distinct (%)58.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean50.005
Minimum34.6
Maximum54
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-11T01:03:13.304277image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum34.6
5-th percentile44.155
Q148.975
median50.4
Q352.225
95-th percentile53.1
Maximum54
Range19.4
Interquartile range (IQR)3.25

Descriptive statistics

Standard deviation3.261789
Coefficient of variation (CV)0.065229258
Kurtosis7.7745919
Mean50.005
Median Absolute Deviation (MAD)1.65
Skewness-2.3749488
Sum5000.5
Variance10.639268
MonotonicityNot monotonic
2023-12-11T01:03:13.444649image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
50.2 6
 
6.0%
48.7 4
 
4.0%
52.9 4
 
4.0%
53.1 4
 
4.0%
50.3 4
 
4.0%
50.1 4
 
4.0%
49.0 3
 
3.0%
50.5 3
 
3.0%
52.5 3
 
3.0%
50.7 3
 
3.0%
Other values (48) 62
62.0%
ValueCountFrequency (%)
34.6 1
1.0%
35.9 1
1.0%
40.2 1
1.0%
43.0 1
1.0%
43.3 1
1.0%
44.2 1
1.0%
45.3 1
1.0%
45.4 1
1.0%
45.5 1
1.0%
45.8 1
1.0%
ValueCountFrequency (%)
54.0 1
 
1.0%
53.5 1
 
1.0%
53.4 1
 
1.0%
53.3 1
 
1.0%
53.1 4
4.0%
53.0 1
 
1.0%
52.9 4
4.0%
52.8 1
 
1.0%
52.7 2
2.0%
52.6 1
 
1.0%

염분
Real number (ℝ)

Distinct92
Distinct (%)92.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean32.6295
Minimum21.28
Maximum35.33
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-11T01:03:13.579286image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum21.28
5-th percentile27.8805
Q131.965
median33
Q334.39
95-th percentile35.0205
Maximum35.33
Range14.05
Interquartile range (IQR)2.425

Descriptive statistics

Standard deviation2.604601
Coefficient of variation (CV)0.079823502
Kurtosis7.2456637
Mean32.6295
Median Absolute Deviation (MAD)1.215
Skewness-2.4239956
Sum3262.95
Variance6.7839462
MonotonicityNot monotonic
2023-12-11T01:03:13.940705image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
31.74 2
 
2.0%
32.92 2
 
2.0%
33.09 2
 
2.0%
34.53 2
 
2.0%
33.96 2
 
2.0%
34.42 2
 
2.0%
31.97 2
 
2.0%
32.9 2
 
2.0%
31.72 1
 
1.0%
29.46 1
 
1.0%
Other values (82) 82
82.0%
ValueCountFrequency (%)
21.28 1
1.0%
22.1 1
1.0%
22.49 1
1.0%
25.72 1
1.0%
27.7 1
1.0%
27.89 1
1.0%
28.48 1
1.0%
28.91 1
1.0%
29.35 1
1.0%
29.44 1
1.0%
ValueCountFrequency (%)
35.33 1
1.0%
35.22 1
1.0%
35.13 1
1.0%
35.04 1
1.0%
35.03 1
1.0%
35.02 1
1.0%
35.0 1
1.0%
34.96 1
1.0%
34.95 1
1.0%
34.88 1
1.0%

Sample

2021년 분기조사정점수소이온농도총대장균군수질지수등급용존무기질 질소농도 점수용존무기질 질소농도용존무기인농도 점수용존무기인농도식물플랑크톤농도 점수식물플랑크톤농도저층산소포화도저층산소포화도.1투명도투명도.1구리납아연비소카드뮴니켈화학적산소요구량질소 총량인 총량용존 산소량수온전기전도도염분
01고리8.081.820I199.0114.710.721100.115.62.051.095.660.160.050.00.68326.020.78.7213.2852.434.57
11일광8.112.020I175.2111.910.41199.615.10.810.150.430.00.060.01.0305.218.08.5712.9652.434.58
21대변8.1213.020I195.4113.410.58198.415.11.370.450.450.00.160.30.52340.418.18.5612.9252.634.67
31해운대해수욕장8.19130.023I1102.616.012.11101.022.40.240.562.30.00.050.00.52361.614.68.811.8852.834.76
41해운대7.991700.028II5886.8127.810.86199.212.90.20.22.170.00.020.01.121283.438.78.2211.0349.532.34
51수영만7.911700.034III51600.6448.410.49197.213.40.00.254.050.140.030.01.482155.957.58.011.050.032.75
61민락동8.1920.020I1121.4110.611.4199.113.00.00.172.760.00.030.00.52427.531.98.5211.6551.433.25
71광안리해수욕장8.1926.026II183.5118.111.86199.932.20.00.00.4370.00.0020.00.44410.123.28.7311.752.934.88
81남천만8.222.023I185.019.411.71100.922.40.00.193.020.180.020.00.24357.119.58.7612.0652.934.83
91이기대8.1620.032II4316.8117.811.76199.531.90.160.411.760.00.010.00.56630.826.98.712.2952.234.35
2021년 분기조사정점수소이온농도총대장균군수질지수등급용존무기질 질소농도 점수용존무기질 질소농도용존무기인농도 점수용존무기인농도식물플랑크톤농도 점수식물플랑크톤농도저층산소포화도저층산소포화도.1투명도투명도.1구리납아연비소카드뮴니켈화학적산소요구량질소 총량인 총량용존 산소량수온전기전도도염분
904자갈치시장8.213500.030II1169.9121.710.34287.9515.5<NA><NA><NA><NA><NA><NA>1.36396.123.86.4620.1150.132.84
914송도해수욕장8.268.030II185.4114.410.29289.7316.0<NA><NA><NA><NA><NA><NA>1.16221.625.06.7920.0850.833.29
924남외항8.2611.020I188.5110.610.54190.1914.7<NA><NA><NA><NA><NA><NA>0.96217.410.86.7920.0950.232.9
9345부두8.14350.053IV3256.1129.610.61372.741.3<NA><NA><NA><NA><NA><NA>1.36450.830.45.5419.6850.132.78
944북내항8.1723.030II1174.4121.611.49282.1912.6<NA><NA><NA><NA><NA><NA>1.72341.622.06.1619.8850.232.83
954남항8.25350.030II1106.0118.510.22288.0214.5<NA><NA><NA><NA><NA><NA>1.4272.851.66.6220.1250.332.92
964감천항8.227.040III1145.1122.313.01376.9513.6<NA><NA><NA><NA><NA><NA>0.88381.633.46.6816.750.933.4
974발전소앞8.1511.040III1174.4111.013.46379.2313.1<NA><NA><NA><NA><NA><NA>0.76401.540.76.2717.0850.933.37
984다대포항8.2130.040III1213.816.513.52369.1214.0<NA><NA><NA><NA><NA><NA>0.96645.550.56.416.1750.533.06
994다대포어시장8.07350.064V5336.5113.512.32464.331.9<NA><NA><NA><NA><NA><NA>0.96739.0110.55.0815.8450.332.94