Overview

Dataset statistics

Number of variables29
Number of observations100
Missing cells242
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_12/31/2020
Author부산광역시
URLhttp://data.busan.go.kr/dataSet/detail.nm?contentId=10&publicdatapk=3077374

Alerts

Chl-a is highly imbalanced (56.2%)Imbalance
총대장균군(MPN/100mL) has 2 (2.0%) missing valuesMissing
Cu has 40 (40.0%) missing valuesMissing
Pb has 40 (40.0%) missing valuesMissing
Zn has 40 (40.0%) missing valuesMissing
As has 40 (40.0%) missing valuesMissing
Cd has 40 (40.0%) missing valuesMissing
Ni has 40 (40.0%) missing valuesMissing
Chl-a.1 has 8 (8.0%) zerosZeros
Cu has 7 (7.0%) zerosZeros
Pb has 33 (33.0%) zerosZeros
Zn has 22 (22.0%) zerosZeros
As has 35 (35.0%) zerosZeros
Cd has 11 (11.0%) zerosZeros

Reproduction

Analysis started2023-12-10 16:03:28.807004
Analysis finished2023-12-10 16:03:29.105664
Duration0.3 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

2020년 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

2023-12-11T01:03:29.183167image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T01:03:29.320262image/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

2023-12-11T01:03:29.484086image/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)

Distinct49
Distinct (%)49.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.9977
Minimum7.15
Maximum8.28
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-11T01:03:29.644069image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum7.15
5-th percentile7.6395
Q17.9375
median8.03
Q38.11
95-th percentile8.2105
Maximum8.28
Range1.13
Interquartile range (IQR)0.1725

Descriptive statistics

Standard deviation0.1751124
Coefficient of variation (CV)0.021895345
Kurtosis5.1662506
Mean7.9977
Median Absolute Deviation (MAD)0.08
Skewness-1.7620141
Sum799.77
Variance0.030664354
MonotonicityNot monotonic
2023-12-11T01:03:29.801301image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=49)
ValueCountFrequency (%)
8.02 7
 
7.0%
8.03 5
 
5.0%
8.11 4
 
4.0%
8.06 4
 
4.0%
8.13 4
 
4.0%
8.07 4
 
4.0%
8.14 4
 
4.0%
8.09 4
 
4.0%
7.97 4
 
4.0%
8.01 4
 
4.0%
Other values (39) 56
56.0%
ValueCountFrequency (%)
7.15 1
1.0%
7.52 1
1.0%
7.57 1
1.0%
7.59 1
1.0%
7.63 1
1.0%
7.64 1
1.0%
7.71 1
1.0%
7.72 2
2.0%
7.76 1
1.0%
7.8 1
1.0%
ValueCountFrequency (%)
8.28 1
 
1.0%
8.23 1
 
1.0%
8.22 3
3.0%
8.21 1
 
1.0%
8.2 2
2.0%
8.19 1
 
1.0%
8.18 1
 
1.0%
8.17 1
 
1.0%
8.16 1
 
1.0%
8.15 2
2.0%

총대장균군(MPN/100mL)
Real number (ℝ)

MISSING 

Distinct49
Distinct (%)50.0%
Missing2
Missing (%)2.0%
Infinite0
Infinite (%)0.0%
Mean13495.717
Minimum2
Maximum920000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-11T01:03:29.949607image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile4.125
Q154.25
median330
Q32400
95-th percentile35000
Maximum920000
Range919998
Interquartile range (IQR)2345.75

Descriptive statistics

Standard deviation93154.892
Coefficient of variation (CV)6.9025521
Kurtosis95.252059
Mean13495.717
Median Absolute Deviation (MAD)311.5
Skewness9.6991663
Sum1322580.3
Variance8.677834 × 109
MonotonicityNot monotonic
2023-12-11T01:03:30.433988image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=49)
ValueCountFrequency (%)
330.0 5
 
5.0%
20.0 5
 
5.0%
2.0 5
 
5.0%
16000.0 4
 
4.0%
9200.0 4
 
4.0%
350.0 4
 
4.0%
2400.0 4
 
4.0%
23.0 3
 
3.0%
78.0 3
 
3.0%
110.0 3
 
3.0%
Other values (39) 58
58.0%
ValueCountFrequency (%)
2.0 5
5.0%
4.5 1
 
1.0%
7.8 1
 
1.0%
13.0 2
 
2.0%
17.0 1
 
1.0%
20.0 5
5.0%
23.0 3
3.0%
26.0 1
 
1.0%
40.0 2
 
2.0%
45.0 2
 
2.0%
ValueCountFrequency (%)
920000.0 1
 
1.0%
70000.0 1
 
1.0%
54000.0 1
 
1.0%
35800.0 1
 
1.0%
35000.0 2
2.0%
16000.0 4
4.0%
11000.0 1
 
1.0%
9200.0 4
4.0%
5400.0 1
 
1.0%
5390.0 1
 
1.0%

WQI
Real number (ℝ)

Distinct38
Distinct (%)38.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean37.11
Minimum20
Maximum88
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-11T01:03:30.616168image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20
5-th percentile20
Q120
median30.5
Q350.25
95-th percentile68
Maximum88
Range68
Interquartile range (IQR)30.25

Descriptive statistics

Standard deviation17.185791
Coefficient of variation (CV)0.46310404
Kurtosis-0.42815429
Mean37.11
Median Absolute Deviation (MAD)10.5
Skewness0.80732801
Sum3711
Variance295.35141
MonotonicityNot monotonic
2023-12-11T01:03:30.768809image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=38)
ValueCountFrequency (%)
20 26
26.0%
30 6
 
6.0%
58 6
 
6.0%
36 5
 
5.0%
26 5
 
5.0%
48 3
 
3.0%
23 3
 
3.0%
37 3
 
3.0%
29 3
 
3.0%
32 3
 
3.0%
Other values (28) 37
37.0%
ValueCountFrequency (%)
20 26
26.0%
22 1
 
1.0%
23 3
 
3.0%
24 3
 
3.0%
25 1
 
1.0%
26 5
 
5.0%
28 2
 
2.0%
29 3
 
3.0%
30 6
 
6.0%
31 1
 
1.0%
ValueCountFrequency (%)
88 1
1.0%
76 1
1.0%
71 2
2.0%
68 2
2.0%
67 1
1.0%
66 1
1.0%
65 1
1.0%
64 1
1.0%
62 2
2.0%
61 1
1.0%

등급
Categorical

Distinct5
Distinct (%)5.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
I
29 
II
26 
IV
17 
III
14 
V
14 

Length

Max length3
Median length2
Mean length1.71
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
I 29
29.0%
II 26
26.0%
IV 17
17.0%
III 14
14.0%
V 14
14.0%

Length

2023-12-11T01:03:30.954603image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T01:03:31.124651image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 29
29.0%
ii 26
26.0%
iv 17
17.0%
iii 14
14.0%
v 14
14.0%

DIN
Categorical

Distinct5
Distinct (%)5.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
1
60 
5
28 
3
 
6
4
 
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 60
60.0%
5 28
28.0%
3 6
 
6.0%
4 4
 
4.0%
2 2
 
2.0%

Length

2023-12-11T01:03:31.336566image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T01:03:31.474433image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 60
60.0%
5 28
28.0%
3 6
 
6.0%
4 4
 
4.0%
2 2
 
2.0%

DIN.1
Real number (ℝ)

Distinct99
Distinct (%)99.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean438.012
Minimum34
Maximum5087.1
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-11T01:03:31.646888image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum34
5-th percentile48.37
Q1108.5
median167
Q3385.95
95-th percentile1605.185
Maximum5087.1
Range5053.1
Interquartile range (IQR)277.45

Descriptive statistics

Standard deviation728.61117
Coefficient of variation (CV)1.6634502
Kurtosis18.578119
Mean438.012
Median Absolute Deviation (MAD)93.55
Skewness3.8399153
Sum43801.2
Variance530874.24
MonotonicityNot monotonic
2023-12-11T01:03:31.854414image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
150.5 2
 
2.0%
450.9 1
 
1.0%
45.9 1
 
1.0%
64.0 1
 
1.0%
690.8 1
 
1.0%
723.1 1
 
1.0%
295.9 1
 
1.0%
284.3 1
 
1.0%
399.4 1
 
1.0%
285.3 1
 
1.0%
Other values (89) 89
89.0%
ValueCountFrequency (%)
34.0 1
1.0%
34.3 1
1.0%
34.5 1
1.0%
39.8 1
1.0%
45.9 1
1.0%
48.5 1
1.0%
49.4 1
1.0%
54.3 1
1.0%
54.6 1
1.0%
62.0 1
1.0%
ValueCountFrequency (%)
5087.1 1
1.0%
3261.2 1
1.0%
2494.8 1
1.0%
2133.2 1
1.0%
1977.3 1
1.0%
1585.6 1
1.0%
1536.1 1
1.0%
1512.4 1
1.0%
1261.2 1
1.0%
1219.3 1
1.0%

DIP
Categorical

Distinct5
Distinct (%)5.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
1
68 
5
20 
3
 
5
2
 
4
4
 
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 68
68.0%
5 20
 
20.0%
3 5
 
5.0%
2 4
 
4.0%
4 3
 
3.0%

Length

2023-12-11T01:03:32.057129image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T01:03:32.207411image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 68
68.0%
5 20
 
20.0%
3 5
 
5.0%
2 4
 
4.0%
4 3
 
3.0%

DIP.1
Real number (ℝ)

Distinct94
Distinct (%)94.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean39.77
Minimum1
Maximum327.3
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-11T01:03:32.424689image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile6.19
Q116.925
median24.2
Q340.925
95-th percentile98.955
Maximum327.3
Range326.3
Interquartile range (IQR)24

Descriptive statistics

Standard deviation48.465209
Coefficient of variation (CV)1.2186374
Kurtosis18.795617
Mean39.77
Median Absolute Deviation (MAD)10.5
Skewness3.8966031
Sum3977
Variance2348.8765
MonotonicityNot monotonic
2023-12-11T01:03:32.631225image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
10.5 2
 
2.0%
4.6 2
 
2.0%
18.2 2
 
2.0%
19.9 2
 
2.0%
23.9 2
 
2.0%
29.1 2
 
2.0%
6.8 1
 
1.0%
32.4 1
 
1.0%
34.0 1
 
1.0%
22.1 1
 
1.0%
Other values (84) 84
84.0%
ValueCountFrequency (%)
1.0 1
1.0%
4.6 2
2.0%
5.5 1
1.0%
6.0 1
1.0%
6.2 1
1.0%
6.8 1
1.0%
7.1 1
1.0%
8.0 1
1.0%
9.3 1
1.0%
10.5 2
2.0%
ValueCountFrequency (%)
327.3 1
1.0%
289.9 1
1.0%
179.1 1
1.0%
114.1 1
1.0%
103.8 1
1.0%
98.7 1
1.0%
95.7 1
1.0%
94.5 1
1.0%
86.2 1
1.0%
85.5 1
1.0%

Chl-a
Categorical

IMBALANCE 

Distinct4
Distinct (%)4.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
1
78 
5
20 
2
 
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 78
78.0%
5 20
 
20.0%
2 1
 
1.0%
4 1
 
1.0%

Length

2023-12-11T01:03:32.807260image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T01:03:32.921713image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 78
78.0%
5 20
 
20.0%
2 1
 
1.0%
4 1
 
1.0%

Chl-a.1
Real number (ℝ)

ZEROS 

Distinct85
Distinct (%)85.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.4586
Minimum0
Maximum41.51
Zeros8
Zeros (%)8.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-11T01:03:33.110339image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10.4975
median2.44
Q35.6425
95-th percentile22.1305
Maximum41.51
Range41.51
Interquartile range (IQR)5.145

Descriptive statistics

Standard deviation7.8911129
Coefficient of variation (CV)1.4456294
Kurtosis6.5000503
Mean5.4586
Median Absolute Deviation (MAD)2.175
Skewness2.427703
Sum545.86
Variance62.269663
MonotonicityNot monotonic
2023-12-11T01:03:33.337363image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 8
 
8.0%
0.09 3
 
3.0%
0.34 2
 
2.0%
0.38 2
 
2.0%
0.19 2
 
2.0%
2.81 2
 
2.0%
1.22 2
 
2.0%
6.17 2
 
2.0%
0.57 1
 
1.0%
17.88 1
 
1.0%
Other values (75) 75
75.0%
ValueCountFrequency (%)
0.0 8
8.0%
0.03 1
 
1.0%
0.05 1
 
1.0%
0.09 3
 
3.0%
0.16 1
 
1.0%
0.19 2
 
2.0%
0.24 1
 
1.0%
0.34 2
 
2.0%
0.35 1
 
1.0%
0.38 2
 
2.0%
ValueCountFrequency (%)
41.51 1
1.0%
35.54 1
1.0%
31.82 1
1.0%
24.24 1
1.0%
23.85 1
1.0%
22.04 1
1.0%
20.92 1
1.0%
17.88 1
1.0%
16.09 1
1.0%
15.78 1
1.0%

저층산소포화도
Categorical

Distinct5
Distinct (%)5.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
1
62 
2
17 
3
13 
4
7 
5
 
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 62
62.0%
2 17
 
17.0%
3 13
 
13.0%
4 7
 
7.0%
5 1
 
1.0%

Length

2023-12-11T01:03:33.547129image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T01:03:33.660254image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 62
62.0%
2 17
 
17.0%
3 13
 
13.0%
4 7
 
7.0%
5 1
 
1.0%

저층산소포화도.1
Real number (ℝ)

Distinct87
Distinct (%)87.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean89.378
Minimum43.9
Maximum124.6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-11T01:03:33.828732image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum43.9
5-th percentile64.245
Q186.9
median93.05
Q396.05
95-th percentile104.455
Maximum124.6
Range80.7
Interquartile range (IQR)9.15

Descriptive statistics

Standard deviation12.680006
Coefficient of variation (CV)0.14186943
Kurtosis1.764477
Mean89.378
Median Absolute Deviation (MAD)4
Skewness-0.91117239
Sum8937.8
Variance160.78254
MonotonicityNot monotonic
2023-12-11T01:03:34.015870image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
94.7 3
 
3.0%
93.4 3
 
3.0%
89.6 3
 
3.0%
89.2 2
 
2.0%
90.4 2
 
2.0%
93.9 2
 
2.0%
95.4 2
 
2.0%
99.9 2
 
2.0%
94.1 2
 
2.0%
96.7 2
 
2.0%
Other values (77) 77
77.0%
ValueCountFrequency (%)
43.9 1
1.0%
57.4 1
1.0%
60.1 1
1.0%
62.2 1
1.0%
63.2 1
1.0%
64.3 1
1.0%
65.0 1
1.0%
65.5 1
1.0%
67.8 1
1.0%
69.3 1
1.0%
ValueCountFrequency (%)
124.6 1
1.0%
117.1 1
1.0%
108.0 1
1.0%
106.3 1
1.0%
105.5 1
1.0%
104.4 1
1.0%
103.6 1
1.0%
101.9 1
1.0%
101.5 1
1.0%
101.4 1
1.0%

투명도
Categorical

Distinct5
Distinct (%)5.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
1
60 
4
16 
3
10 
2
7 
5
7 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1
2nd row3
3rd row3
4th row2
5th row1

Common Values

ValueCountFrequency (%)
1 60
60.0%
4 16
 
16.0%
3 10
 
10.0%
2 7
 
7.0%
5 7
 
7.0%

Length

2023-12-11T01:03:34.226701image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T01:03:34.356944image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 60
60.0%
4 16
 
16.0%
3 10
 
10.0%
2 7
 
7.0%
5 7
 
7.0%

투명도.1
Real number (ℝ)

Distinct37
Distinct (%)37.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.796
Minimum0.4
Maximum6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-11T01:03:34.494900image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0.4
5-th percentile0.695
Q12
median2.5
Q33.55
95-th percentile5.405
Maximum6
Range5.6
Interquartile range (IQR)1.55

Descriptive statistics

Standard deviation1.286128
Coefficient of variation (CV)0.45998856
Kurtosis-0.17443881
Mean2.796
Median Absolute Deviation (MAD)0.9
Skewness0.4493809
Sum279.6
Variance1.6541253
MonotonicityNot monotonic
2023-12-11T01:03:34.686379image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=37)
ValueCountFrequency (%)
2.5 14
 
14.0%
2.0 9
 
9.0%
3.0 7
 
7.0%
1.5 6
 
6.0%
4.0 6
 
6.0%
5.5 4
 
4.0%
3.5 4
 
4.0%
1.3 4
 
4.0%
3.3 3
 
3.0%
0.5 3
 
3.0%
Other values (27) 40
40.0%
ValueCountFrequency (%)
0.4 1
 
1.0%
0.5 3
3.0%
0.6 1
 
1.0%
0.7 1
 
1.0%
1.0 1
 
1.0%
1.3 4
4.0%
1.4 1
 
1.0%
1.5 6
6.0%
1.6 3
3.0%
1.7 1
 
1.0%
ValueCountFrequency (%)
6.0 1
 
1.0%
5.5 4
4.0%
5.4 1
 
1.0%
5.3 1
 
1.0%
5.1 1
 
1.0%
5.0 2
 
2.0%
4.5 2
 
2.0%
4.1 2
 
2.0%
4.0 6
6.0%
3.9 1
 
1.0%

Cu
Real number (ℝ)

MISSING  ZEROS 

Distinct49
Distinct (%)81.7%
Missing40
Missing (%)40.0%
Infinite0
Infinite (%)0.0%
Mean1.4616667
Minimum0
Maximum9.07
Zeros7
Zeros (%)7.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-11T01:03:34.886982image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10.21
median0.96
Q31.825
95-th percentile4.5835
Maximum9.07
Range9.07
Interquartile range (IQR)1.615

Descriptive statistics

Standard deviation1.6856746
Coefficient of variation (CV)1.1532551
Kurtosis6.3617612
Mean1.4616667
Median Absolute Deviation (MAD)0.795
Skewness2.1595139
Sum87.7
Variance2.8414989
MonotonicityNot monotonic
2023-12-11T01:03:35.072755image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=49)
ValueCountFrequency (%)
0.0 7
 
7.0%
0.11 2
 
2.0%
0.17 2
 
2.0%
1.4 2
 
2.0%
1.54 2
 
2.0%
0.21 2
 
2.0%
0.23 1
 
1.0%
0.33 1
 
1.0%
2.97 1
 
1.0%
0.99 1
 
1.0%
Other values (39) 39
39.0%
(Missing) 40
40.0%
ValueCountFrequency (%)
0.0 7
7.0%
0.06 1
 
1.0%
0.07 1
 
1.0%
0.11 2
 
2.0%
0.12 1
 
1.0%
0.17 2
 
2.0%
0.21 2
 
2.0%
0.23 1
 
1.0%
0.33 1
 
1.0%
0.39 1
 
1.0%
ValueCountFrequency (%)
9.07 1
1.0%
5.69 1
1.0%
4.84 1
1.0%
4.57 1
1.0%
4.24 1
1.0%
3.9 1
1.0%
3.45 1
1.0%
3.18 1
1.0%
2.97 1
1.0%
2.91 1
1.0%

Pb
Real number (ℝ)

MISSING  ZEROS 

Distinct24
Distinct (%)40.0%
Missing40
Missing (%)40.0%
Infinite0
Infinite (%)0.0%
Mean0.17991667
Minimum0
Maximum1.1
Zeros33
Zeros (%)33.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-11T01:03:35.239625image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30.27
95-th percentile0.8155
Maximum1.1
Range1.1
Interquartile range (IQR)0.27

Descriptive statistics

Standard deviation0.27683822
Coefficient of variation (CV)1.5387025
Kurtosis2.153816
Mean0.17991667
Median Absolute Deviation (MAD)0
Skewness1.6625375
Sum10.795
Variance0.0766394
MonotonicityNot monotonic
2023-12-11T01:03:35.413749image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=24)
ValueCountFrequency (%)
0.0 33
33.0%
0.27 3
 
3.0%
0.17 2
 
2.0%
0.52 2
 
2.0%
0.35 1
 
1.0%
0.02 1
 
1.0%
0.53 1
 
1.0%
0.43 1
 
1.0%
0.41 1
 
1.0%
0.38 1
 
1.0%
Other values (14) 14
 
14.0%
(Missing) 40
40.0%
ValueCountFrequency (%)
0.0 33
33.0%
0.02 1
 
1.0%
0.03 1
 
1.0%
0.085 1
 
1.0%
0.09 1
 
1.0%
0.16 1
 
1.0%
0.17 2
 
2.0%
0.18 1
 
1.0%
0.22 1
 
1.0%
0.25 1
 
1.0%
ValueCountFrequency (%)
1.1 1
1.0%
0.94 1
1.0%
0.92 1
1.0%
0.81 1
1.0%
0.59 1
1.0%
0.56 1
1.0%
0.55 1
1.0%
0.53 1
1.0%
0.52 2
2.0%
0.43 1
1.0%

Zn
Real number (ℝ)

MISSING  ZEROS 

Distinct38
Distinct (%)63.3%
Missing40
Missing (%)40.0%
Infinite0
Infinite (%)0.0%
Mean2.2525333
Minimum0
Maximum15.26
Zeros22
Zeros (%)22.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-11T01:03:35.599366image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1.13
Q33.405
95-th percentile8.598
Maximum15.26
Range15.26
Interquartile range (IQR)3.405

Descriptive statistics

Standard deviation3.1613849
Coefficient of variation (CV)1.4034797
Kurtosis4.6326205
Mean2.2525333
Median Absolute Deviation (MAD)1.13
Skewness2.0060975
Sum135.152
Variance9.9943546
MonotonicityNot monotonic
2023-12-11T01:03:35.747190image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=38)
ValueCountFrequency (%)
0.0 22
22.0%
3.38 2
 
2.0%
4.59 1
 
1.0%
5.92 1
 
1.0%
0.38 1
 
1.0%
1.33 1
 
1.0%
10.64 1
 
1.0%
4.68 1
 
1.0%
1.81 1
 
1.0%
4.12 1
 
1.0%
Other values (28) 28
28.0%
(Missing) 40
40.0%
ValueCountFrequency (%)
0.0 22
22.0%
0.02 1
 
1.0%
0.05 1
 
1.0%
0.12 1
 
1.0%
0.25 1
 
1.0%
0.38 1
 
1.0%
0.55 1
 
1.0%
0.752 1
 
1.0%
1.05 1
 
1.0%
1.21 1
 
1.0%
ValueCountFrequency (%)
15.26 1
1.0%
10.64 1
1.0%
10.27 1
1.0%
8.51 1
1.0%
7.22 1
1.0%
7.07 1
1.0%
5.92 1
1.0%
5.26 1
1.0%
4.94 1
1.0%
4.68 1
1.0%

As
Real number (ℝ)

MISSING  ZEROS 

Distinct23
Distinct (%)38.3%
Missing40
Missing (%)40.0%
Infinite0
Infinite (%)0.0%
Mean0.088016667
Minimum0
Maximum0.6
Zeros35
Zeros (%)35.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-11T01:03:35.914505image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30.135
95-th percentile0.411
Maximum0.6
Range0.6
Interquartile range (IQR)0.135

Descriptive statistics

Standard deviation0.14575258
Coefficient of variation (CV)1.6559656
Kurtosis2.5332353
Mean0.088016667
Median Absolute Deviation (MAD)0
Skewness1.780995
Sum5.281
Variance0.021243813
MonotonicityNot monotonic
2023-12-11T01:03:36.361104image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=23)
ValueCountFrequency (%)
0.0 35
35.0%
0.22 2
 
2.0%
0.04 2
 
2.0%
0.2 2
 
2.0%
0.001 1
 
1.0%
0.39 1
 
1.0%
0.48 1
 
1.0%
0.18 1
 
1.0%
0.24 1
 
1.0%
0.07 1
 
1.0%
Other values (13) 13
 
13.0%
(Missing) 40
40.0%
ValueCountFrequency (%)
0.0 35
35.0%
0.001 1
 
1.0%
0.01 1
 
1.0%
0.04 2
 
2.0%
0.06 1
 
1.0%
0.07 1
 
1.0%
0.1 1
 
1.0%
0.11 1
 
1.0%
0.12 1
 
1.0%
0.13 1
 
1.0%
ValueCountFrequency (%)
0.6 1
1.0%
0.48 1
1.0%
0.43 1
1.0%
0.41 1
1.0%
0.39 1
1.0%
0.37 1
1.0%
0.28 1
1.0%
0.24 1
1.0%
0.23 1
1.0%
0.22 2
2.0%

Cd
Real number (ℝ)

MISSING  ZEROS 

Distinct17
Distinct (%)28.3%
Missing40
Missing (%)40.0%
Infinite0
Infinite (%)0.0%
Mean0.06915
Minimum0
Maximum0.94
Zeros11
Zeros (%)11.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-11T01:03:36.556771image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10.01
median0.015
Q30.0625
95-th percentile0.2026
Maximum0.94
Range0.94
Interquartile range (IQR)0.0525

Descriptive statistics

Standard deviation0.17098467
Coefficient of variation (CV)2.4726633
Kurtosis19.874298
Mean0.06915
Median Absolute Deviation (MAD)0.015
Skewness4.4161505
Sum4.149
Variance0.029235757
MonotonicityNot monotonic
2023-12-11T01:03:36.712415image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=17)
ValueCountFrequency (%)
0.01 18
18.0%
0.0 11
 
11.0%
0.03 6
 
6.0%
0.05 4
 
4.0%
0.08 4
 
4.0%
0.07 3
 
3.0%
0.04 3
 
3.0%
0.09 2
 
2.0%
0.19 1
 
1.0%
0.442 1
 
1.0%
Other values (7) 7
 
7.0%
(Missing) 40
40.0%
ValueCountFrequency (%)
0.0 11
11.0%
0.007 1
 
1.0%
0.01 18
18.0%
0.02 1
 
1.0%
0.03 6
 
6.0%
0.04 3
 
3.0%
0.05 4
 
4.0%
0.06 1
 
1.0%
0.07 3
 
3.0%
0.08 4
 
4.0%
ValueCountFrequency (%)
0.94 1
 
1.0%
0.89 1
 
1.0%
0.442 1
 
1.0%
0.19 1
 
1.0%
0.11 1
 
1.0%
0.1 1
 
1.0%
0.09 2
2.0%
0.08 4
4.0%
0.07 3
3.0%
0.06 1
 
1.0%

Ni
Real number (ℝ)

MISSING 

Distinct47
Distinct (%)78.3%
Missing40
Missing (%)40.0%
Infinite0
Infinite (%)0.0%
Mean0.46325
Minimum0
Maximum2.24
Zeros1
Zeros (%)1.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-11T01:03:36.878242image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.0695
Q10.2125
median0.34
Q30.5125
95-th percentile1.233
Maximum2.24
Range2.24
Interquartile range (IQR)0.3

Descriptive statistics

Standard deviation0.46598886
Coefficient of variation (CV)1.0059123
Kurtosis7.4096326
Mean0.46325
Median Absolute Deviation (MAD)0.15
Skewness2.5995229
Sum27.795
Variance0.21714561
MonotonicityNot monotonic
2023-12-11T01:03:37.059540image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=47)
ValueCountFrequency (%)
0.18 3
 
3.0%
0.24 2
 
2.0%
0.12 2
 
2.0%
0.19 2
 
2.0%
0.23 2
 
2.0%
0.47 2
 
2.0%
0.37 2
 
2.0%
0.35 2
 
2.0%
0.31 2
 
2.0%
0.46 2
 
2.0%
Other values (37) 39
39.0%
(Missing) 40
40.0%
ValueCountFrequency (%)
0.0 1
 
1.0%
0.02 1
 
1.0%
0.06 1
 
1.0%
0.07 1
 
1.0%
0.075 1
 
1.0%
0.08 1
 
1.0%
0.12 2
2.0%
0.15 1
 
1.0%
0.17 1
 
1.0%
0.18 3
3.0%
ValueCountFrequency (%)
2.24 1
1.0%
2.22 1
1.0%
2.05 1
1.0%
1.19 1
1.0%
0.97 1
1.0%
0.93 1
1.0%
0.84 1
1.0%
0.8 1
1.0%
0.78 1
1.0%
0.75 1
1.0%

COD
Real number (ℝ)

Distinct57
Distinct (%)57.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.902
Minimum0.4
Maximum10.8
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-11T01:03:37.243004image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0.4
5-th percentile0.558
Q10.84
median1.12
Q32.54
95-th percentile4.842
Maximum10.8
Range10.4
Interquartile range (IQR)1.7

Descriptive statistics

Standard deviation1.6993534
Coefficient of variation (CV)0.89345605
Kurtosis7.0708179
Mean1.902
Median Absolute Deviation (MAD)0.38
Skewness2.2564304
Sum190.2
Variance2.887802
MonotonicityNot monotonic
2023-12-11T01:03:37.427032image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.92 9
 
9.0%
0.8 6
 
6.0%
0.84 5
 
5.0%
0.68 4
 
4.0%
1.32 3
 
3.0%
1.44 3
 
3.0%
0.88 3
 
3.0%
1.28 3
 
3.0%
1.08 3
 
3.0%
0.96 3
 
3.0%
Other values (47) 58
58.0%
ValueCountFrequency (%)
0.4 1
 
1.0%
0.44 2
 
2.0%
0.52 2
 
2.0%
0.56 1
 
1.0%
0.6 1
 
1.0%
0.64 1
 
1.0%
0.68 4
4.0%
0.72 2
 
2.0%
0.76 2
 
2.0%
0.8 6
6.0%
ValueCountFrequency (%)
10.8 1
1.0%
6.6 1
1.0%
6.36 1
1.0%
5.28 1
1.0%
4.88 1
1.0%
4.84 1
1.0%
4.8 1
1.0%
4.76 1
1.0%
4.72 1
1.0%
4.32 2
2.0%

T-N
Real number (ℝ)

Distinct98
Distinct (%)98.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1139.592
Minimum126.2
Maximum8348
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-11T01:03:37.598182image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum126.2
5-th percentile202.93
Q1341.975
median570.65
Q31289.75
95-th percentile3688.7
Maximum8348
Range8221.8
Interquartile range (IQR)947.775

Descriptive statistics

Standard deviation1409.8706
Coefficient of variation (CV)1.2371714
Kurtosis8.5210883
Mean1139.592
Median Absolute Deviation (MAD)284.4
Skewness2.6758417
Sum113959.2
Variance1987735.1
MonotonicityNot monotonic
2023-12-11T01:03:37.789860image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
467.0 2
 
2.0%
664.0 2
 
2.0%
203.5 1
 
1.0%
787.0 1
 
1.0%
361.0 1
 
1.0%
715.0 1
 
1.0%
1088.0 1
 
1.0%
1234.0 1
 
1.0%
705.0 1
 
1.0%
915.0 1
 
1.0%
Other values (88) 88
88.0%
ValueCountFrequency (%)
126.2 1
1.0%
153.0 1
1.0%
157.0 1
1.0%
185.7 1
1.0%
192.1 1
1.0%
203.5 1
1.0%
209.2 1
1.0%
216.2 1
1.0%
234.9 1
1.0%
244.8 1
1.0%
ValueCountFrequency (%)
8348.0 1
1.0%
6221.0 1
1.0%
5900.1 1
1.0%
4509.0 1
1.0%
4082.0 1
1.0%
3668.0 1
1.0%
3638.0 1
1.0%
3537.0 1
1.0%
3228.0 1
1.0%
3171.0 1
1.0%

T-P
Real number (ℝ)

Distinct91
Distinct (%)91.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean101.868
Minimum0.7
Maximum782
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-11T01:03:37.975446image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0.7
5-th percentile16.675
Q125.25
median53.85
Q3100.3
95-th percentile389.6
Maximum782
Range781.3
Interquartile range (IQR)75.05

Descriptive statistics

Standard deviation134.95246
Coefficient of variation (CV)1.3247777
Kurtosis7.7442979
Mean101.868
Median Absolute Deviation (MAD)29.05
Skewness2.6277835
Sum10186.8
Variance18212.166
MonotonicityNot monotonic
2023-12-11T01:03:38.165822image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
25.0 3
 
3.0%
68.0 2
 
2.0%
122.0 2
 
2.0%
24.8 2
 
2.0%
42.0 2
 
2.0%
61.0 2
 
2.0%
26.9 2
 
2.0%
67.0 2
 
2.0%
19.0 1
 
1.0%
60.0 1
 
1.0%
Other values (81) 81
81.0%
ValueCountFrequency (%)
0.7 1
1.0%
7.8 1
1.0%
7.9 1
1.0%
12.6 1
1.0%
16.2 1
1.0%
16.7 1
1.0%
17.1 1
1.0%
17.8 1
1.0%
18.5 1
1.0%
19.0 1
1.0%
ValueCountFrequency (%)
782.0 1
1.0%
541.3 1
1.0%
509.0 1
1.0%
490.0 1
1.0%
420.0 1
1.0%
388.0 1
1.0%
372.0 1
1.0%
332.0 1
1.0%
324.0 1
1.0%
305.0 1
1.0%

DO
Real number (ℝ)

Distinct83
Distinct (%)83.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.8866
Minimum0.12
Maximum12.42
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-11T01:03:38.332223image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0.12
5-th percentile6.23
Q17.3275
median7.93
Q38.3
95-th percentile9.939
Maximum12.42
Range12.3
Interquartile range (IQR)0.9725

Descriptive statistics

Standard deviation1.4054484
Coefficient of variation (CV)0.17820714
Kurtosis10.008581
Mean7.8866
Median Absolute Deviation (MAD)0.515
Skewness-0.95416909
Sum788.66
Variance1.9752853
MonotonicityNot monotonic
2023-12-11T01:03:38.501204image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
8.13 4
 
4.0%
8.07 3
 
3.0%
7.93 2
 
2.0%
8.41 2
 
2.0%
7.45 2
 
2.0%
7.83 2
 
2.0%
8.02 2
 
2.0%
7.55 2
 
2.0%
8.49 2
 
2.0%
7.7 2
 
2.0%
Other values (73) 77
77.0%
ValueCountFrequency (%)
0.12 1
1.0%
5.61 1
1.0%
5.83 1
1.0%
5.9 1
1.0%
6.04 1
1.0%
6.24 1
1.0%
6.37 1
1.0%
6.41 1
1.0%
6.43 1
1.0%
6.46 1
1.0%
ValueCountFrequency (%)
12.42 1
1.0%
12.05 1
1.0%
11.21 1
1.0%
10.87 1
1.0%
10.11 1
1.0%
9.93 1
1.0%
9.65 1
1.0%
9.58 1
1.0%
9.48 1
1.0%
9.32 1
1.0%

수온
Real number (ℝ)

Distinct97
Distinct (%)97.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean16.6283
Minimum8.94
Maximum25.26
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-11T01:03:38.655750image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum8.94
5-th percentile10.6695
Q113.615
median16.12
Q319.025
95-th percentile23.997
Maximum25.26
Range16.32
Interquartile range (IQR)5.41

Descriptive statistics

Standard deviation4.0712133
Coefficient of variation (CV)0.24483641
Kurtosis-0.64212544
Mean16.6283
Median Absolute Deviation (MAD)2.65
Skewness0.437997
Sum1662.83
Variance16.574778
MonotonicityNot monotonic
2023-12-11T01:03:38.800153image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
13.21 2
 
2.0%
15.55 2
 
2.0%
20.51 2
 
2.0%
14.11 1
 
1.0%
22.67 1
 
1.0%
24.48 1
 
1.0%
23.34 1
 
1.0%
23.49 1
 
1.0%
23.8 1
 
1.0%
23.2 1
 
1.0%
Other values (87) 87
87.0%
ValueCountFrequency (%)
8.94 1
1.0%
9.59 1
1.0%
9.68 1
1.0%
10.41 1
1.0%
10.47 1
1.0%
10.68 1
1.0%
10.73 1
1.0%
11.01 1
1.0%
11.68 1
1.0%
12.03 1
1.0%
ValueCountFrequency (%)
25.26 1
1.0%
24.48 1
1.0%
24.26 1
1.0%
24.23 1
1.0%
24.13 1
1.0%
23.99 1
1.0%
23.8 1
1.0%
23.52 1
1.0%
23.49 1
1.0%
23.34 1
1.0%

전기전도도
Real number (ℝ)

Distinct60
Distinct (%)60.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean46.358
Minimum0.3
Maximum52.7
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-11T01:03:38.980789image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0.3
5-th percentile27.565
Q146.875
median50.2
Q350.9
95-th percentile52.305
Maximum52.7
Range52.4
Interquartile range (IQR)4.025

Descriptive statistics

Standard deviation9.792877
Coefficient of variation (CV)0.2112446
Kurtosis9.4826231
Mean46.358
Median Absolute Deviation (MAD)1.6
Skewness-2.9763934
Sum4635.8
Variance95.90044
MonotonicityNot monotonic
2023-12-11T01:03:39.118400image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
50.8 12
 
12.0%
50.9 5
 
5.0%
50.5 5
 
5.0%
50.2 3
 
3.0%
52.2 3
 
3.0%
51.9 3
 
3.0%
50.4 3
 
3.0%
49.7 3
 
3.0%
52.4 3
 
3.0%
51.8 3
 
3.0%
Other values (50) 57
57.0%
ValueCountFrequency (%)
0.3 1
1.0%
6.3 1
1.0%
7.4 1
1.0%
18.2 1
1.0%
19.3 1
1.0%
28.0 1
1.0%
33.9 1
1.0%
35.7 1
1.0%
36.0 1
1.0%
36.2 1
1.0%
ValueCountFrequency (%)
52.7 1
 
1.0%
52.5 1
 
1.0%
52.4 3
3.0%
52.3 2
2.0%
52.2 3
3.0%
52.1 2
2.0%
52.0 1
 
1.0%
51.9 3
3.0%
51.8 3
3.0%
51.3 1
 
1.0%

염분
Real number (ℝ)

Distinct88
Distinct (%)88.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean30.2109
Minimum0.18
Maximum34.73
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-11T01:03:39.264546image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0.18
5-th percentile16.9035
Q130.435
median32.915
Q333.38
95-th percentile34.421
Maximum34.73
Range34.55
Interquartile range (IQR)2.945

Descriptive statistics

Standard deviation6.7022696
Coefficient of variation (CV)0.22184939
Kurtosis8.389855
Mean30.2109
Median Absolute Deviation (MAD)1.04
Skewness-2.8182418
Sum3021.09
Variance44.920418
MonotonicityNot monotonic
2023-12-11T01:03:39.404769image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
33.3 3
 
3.0%
33.28 3
 
3.0%
33.03 2
 
2.0%
34.49 2
 
2.0%
34.11 2
 
2.0%
32.33 2
 
2.0%
34.28 2
 
2.0%
33.32 2
 
2.0%
33.38 2
 
2.0%
32.46 2
 
2.0%
Other values (78) 78
78.0%
ValueCountFrequency (%)
0.18 1
1.0%
3.43 1
1.0%
3.62 1
1.0%
10.8 1
1.0%
11.27 1
1.0%
17.2 1
1.0%
21.27 1
1.0%
22.4 1
1.0%
22.56 1
1.0%
23.1 1
1.0%
ValueCountFrequency (%)
34.73 1
1.0%
34.55 1
1.0%
34.49 2
2.0%
34.44 1
1.0%
34.42 1
1.0%
34.4 1
1.0%
34.38 1
1.0%
34.32 1
1.0%
34.31 1
1.0%
34.28 2
2.0%

Sample

2020년 분기조사정점pH총대장균군(MPN/100mL)WQI등급DINDIN.1DIPDIP.1Chl-aChl-a.1저층산소포화도저층산소포화도.1투명도투명도.1CuPbZnAsCdNiCODT-NT-PDO수온전기전도도염분
01고리7.7223.020I194.016.810.57196.912.50.620.940.00.00.00.781.32203.57.98.1814.1150.933.4
11일광8.052.026II199.0118.210.38194.932.00.560.00.00.00.10.230.8255.923.78.0713.6650.833.31
21대변8.122.026II1111.4110.510.09194.532.00.00.00.00.00.090.220.92234.917.88.0613.4650.833.34
31해운대해수욕장8.0330.023I1132.5114.410.34196.822.30.210.00.020.00.030.180.88259.818.58.0513.7550.933.41
41해운대8.02170.020I1184.7121.810.34196.712.50.680.00.00.00.050.430.92385.724.87.9913.7250.533.1
51수영만8.031100.036III5933.2574.510.05194.122.30.231.14.590.120.190.461.281777.487.36.9512.6245.429.35
61민락동8.0120.037III5566.4451.310.03192.022.30.060.00.00.00.030.311.121013.457.07.413.1949.332.33
71광안리해수욕장7.52330.029II1219.7115.710.19194.841.50.110.0850.7520.0010.4420.0751.72674.420.68.0513.2151.133.59
81남천만7.82230.020I139.8116.110.16194.712.50.00.00.00.00.060.240.88332.420.48.013.4850.833.3
91이기대7.93130.022I2237.9123.910.0196.413.00.210.00.00.00.010.371.08412.325.88.1313.9850.332.94
2020년 분기조사정점pH총대장균군(MPN/100mL)WQI등급DINDIN.1DIPDIP.1Chl-aChl-a.1저층산소포화도저층산소포화도.1투명도투명도.1CuPbZnAsCdNiCODT-NT-PDO수온전기전도도염분
904자갈치시장8.06170.020I162.018.015.411106.315.4<NA><NA><NA><NA><NA><NA>0.84875.0122.08.117.3149.632.46
914송도해수욕장8.0620.020I134.517.113.881101.515.5<NA><NA><NA><NA><NA><NA>0.76736.072.08.2217.4849.832.55
924남외항8.12.020I154.314.614.45196.014.0<NA><NA><NA><NA><NA><NA>0.521358.0123.07.6617.2549.732.51
9345부두8.02240.051IV3266.1339.010.51375.822.5<NA><NA><NA><NA><NA><NA>0.722283.0247.05.916.5249.832.56
944북내항7.94230.030II1152.9133.212.81287.113.3<NA><NA><NA><NA><NA><NA>0.682199.0372.06.8716.5149.732.53
954남항8.031700.024II1138.5341.315.26194.212.6<NA><NA><NA><NA><NA><NA>0.966221.0509.07.3517.0349.532.36
964감천항7.8449.020I1120.7113.913.67196.214.1<NA><NA><NA><NA><NA><NA>0.842733.0388.07.4417.9950.433.0
974발전소앞7.8870.032II1131.8235.311.17286.313.0<NA><NA><NA><NA><NA><NA>0.683228.0332.06.4618.2150.232.9
984다대포항7.6426.020I1150.5118.715.13199.313.7<NA><NA><NA><NA><NA><NA>0.724082.0490.08.0216.4450.232.89
994다대포어시장7.7679.058IV3270.5567.712.43380.132.0<NA><NA><NA><NA><NA><NA>0.968348.0782.06.4316.2450.032.73