Overview

Dataset statistics

Number of variables21
Number of observations100
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory18.6 KiB
Average record size in memory190.3 B

Variable types

Categorical3
Numeric18

Alerts

권역본부코드 is highly imbalanced (53.1%)Imbalance
관리단코드 is highly imbalanced (53.1%)Imbalance
강수량(mm) has 90 (90.0%) zerosZeros
방류수대장균수(개ml) has 4 (4.0%) zerosZeros

Reproduction

Analysis started2023-12-10 11:24:13.364341
Analysis finished2023-12-10 11:24:13.642317
Duration0.28 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

권역본부코드
Categorical

IMBALANCE 

Distinct2
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
90
90 
91
10 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row90
2nd row90
3rd row90
4th row90
5th row90

Common Values

ValueCountFrequency (%)
90 90
90.0%
91 10
 
10.0%

Length

2023-12-10T20:24:13.744433image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T20:24:13.922456image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
90 90
90.0%
91 10
 
10.0%

사업장코드
Categorical

Distinct4
Distinct (%)4.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
50003
30 
50001
30 
50002
30 
40001
10 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row50003
2nd row50003
3rd row50003
4th row50003
5th row50003

Common Values

ValueCountFrequency (%)
50003 30
30.0%
50001 30
30.0%
50002 30
30.0%
40001 10
 
10.0%

Length

2023-12-10T20:24:14.103628image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T20:24:14.306106image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
50003 30
30.0%
50001 30
30.0%
50002 30
30.0%
40001 10
 
10.0%

수질등록일자
Real number (ℝ)

Distinct30
Distinct (%)30.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.0190416 × 1011
Minimum2.0190401 × 1011
Maximum2.019043 × 1011
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T20:24:14.548621image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2.0190401 × 1011
5-th percentile2.0190402 × 1011
Q12.0190409 × 1011
median2.0190416 × 1011
Q32.0190424 × 1011
95-th percentile2.0190429 × 1011
Maximum2.019043 × 1011
Range290000
Interquartile range (IQR)152500

Descriptive statistics

Standard deviation88020.831
Coefficient of variation (CV)4.3595353 × 10-7
Kurtosis-1.2258706
Mean2.0190416 × 1011
Median Absolute Deviation (MAD)80000
Skewness-0.048849142
Sum2.0190416 × 1013
Variance7.7476667 × 109
MonotonicityNot monotonic
2023-12-10T20:24:14.772628image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%)
201904250000 4
 
4.0%
201904300000 4
 
4.0%
201904260000 4
 
4.0%
201904280000 4
 
4.0%
201904270000 4
 
4.0%
201904150000 4
 
4.0%
201904290000 4
 
4.0%
201904130000 4
 
4.0%
201904070000 4
 
4.0%
201904140000 4
 
4.0%
Other values (20) 60
60.0%
ValueCountFrequency (%)
201904010000 3
3.0%
201904020000 3
3.0%
201904030000 3
3.0%
201904040000 3
3.0%
201904050000 3
3.0%
201904060000 3
3.0%
201904070000 4
4.0%
201904080000 3
3.0%
201904090000 3
3.0%
201904100000 3
3.0%
ValueCountFrequency (%)
201904300000 4
4.0%
201904290000 4
4.0%
201904280000 4
4.0%
201904270000 4
4.0%
201904260000 4
4.0%
201904250000 4
4.0%
201904240000 3
3.0%
201904230000 3
3.0%
201904220000 3
3.0%
201904210000 3
3.0%

관리단코드
Categorical

IMBALANCE 

Distinct2
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
500
90 
400
10 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row500
2nd row500
3rd row500
4th row500
5th row500

Common Values

ValueCountFrequency (%)
500 90
90.0%
400 10
 
10.0%

Length

2023-12-10T20:24:15.024561image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T20:24:15.213529image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
500 90
90.0%
400 10
 
10.0%

기온
Real number (ℝ)

Distinct30
Distinct (%)30.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean11.858
Minimum3
Maximum23.1
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T20:24:15.400605image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3
5-th percentile3
Q18.3
median12.1
Q314.65
95-th percentile19.2
Maximum23.1
Range20.1
Interquartile range (IQR)6.35

Descriptive statistics

Standard deviation4.4014961
Coefficient of variation (CV)0.37118368
Kurtosis0.12954285
Mean11.858
Median Absolute Deviation (MAD)3.05
Skewness0.1232037
Sum1185.8
Variance19.373168
MonotonicityNot monotonic
2023-12-10T20:24:15.671210image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%)
11.8 7
 
7.0%
8.0 6
 
6.0%
14.0 6
 
6.0%
12.1 6
 
6.0%
3.0 6
 
6.0%
13.2 4
 
4.0%
13.0 4
 
4.0%
15.5 4
 
4.0%
6.0 3
 
3.0%
7.0 3
 
3.0%
Other values (20) 51
51.0%
ValueCountFrequency (%)
3.0 6
6.0%
6.0 3
3.0%
7.0 3
3.0%
7.2 3
3.0%
7.7 3
3.0%
8.0 6
6.0%
8.3 3
3.0%
8.4 1
 
1.0%
9.0 3
3.0%
9.1 3
3.0%
ValueCountFrequency (%)
23.1 3
3.0%
19.2 3
3.0%
18.1 3
3.0%
17.2 3
3.0%
15.8 3
3.0%
15.5 4
4.0%
15.0 3
3.0%
14.8 3
3.0%
14.6 3
3.0%
14.0 6
6.0%

강수량(mm)
Real number (ℝ)

ZEROS 

Distinct10
Distinct (%)10.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.342
Minimum0
Maximum9
Zeros90
Zeros (%)90.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T20:24:15.897212image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1.715
Maximum9
Range9
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.4068505
Coefficient of variation (CV)4.1135979
Kurtosis25.060831
Mean0.342
Median Absolute Deviation (MAD)0
Skewness4.936144
Sum34.2
Variance1.9792283
MonotonicityNot monotonic
2023-12-10T20:24:16.079311image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
0.0 90
90.0%
0.5 2
 
2.0%
1.5 1
 
1.0%
9.0 1
 
1.0%
1.0 1
 
1.0%
2.0 1
 
1.0%
6.0 1
 
1.0%
1.7 1
 
1.0%
4.0 1
 
1.0%
8.0 1
 
1.0%
ValueCountFrequency (%)
0.0 90
90.0%
0.5 2
 
2.0%
1.0 1
 
1.0%
1.5 1
 
1.0%
1.7 1
 
1.0%
2.0 1
 
1.0%
4.0 1
 
1.0%
6.0 1
 
1.0%
8.0 1
 
1.0%
9.0 1
 
1.0%
ValueCountFrequency (%)
9.0 1
 
1.0%
8.0 1
 
1.0%
6.0 1
 
1.0%
4.0 1
 
1.0%
2.0 1
 
1.0%
1.7 1
 
1.0%
1.5 1
 
1.0%
1.0 1
 
1.0%
0.5 2
 
2.0%
0.0 90
90.0%

수온
Real number (ℝ)

Distinct43
Distinct (%)43.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean14.604
Minimum12.2
Maximum18.5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T20:24:16.322633image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum12.2
5-th percentile12.395
Q113.2
median14.5
Q315.625
95-th percentile17.9
Maximum18.5
Range6.3
Interquartile range (IQR)2.425

Descriptive statistics

Standard deviation1.7024593
Coefficient of variation (CV)0.11657486
Kurtosis-0.68848361
Mean14.604
Median Absolute Deviation (MAD)1.25
Skewness0.63743267
Sum1460.4
Variance2.8983677
MonotonicityNot monotonic
2023-12-10T20:24:16.626674image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=43)
ValueCountFrequency (%)
13.0 8
 
8.0%
13.4 6
 
6.0%
15.0 5
 
5.0%
14.9 5
 
5.0%
13.6 5
 
5.0%
13.5 4
 
4.0%
13.1 4
 
4.0%
14.5 4
 
4.0%
17.9 4
 
4.0%
13.2 4
 
4.0%
Other values (33) 51
51.0%
ValueCountFrequency (%)
12.2 2
 
2.0%
12.3 3
 
3.0%
12.4 1
 
1.0%
12.5 2
 
2.0%
12.6 1
 
1.0%
12.8 1
 
1.0%
13.0 8
8.0%
13.1 4
4.0%
13.2 4
4.0%
13.3 3
 
3.0%
ValueCountFrequency (%)
18.5 1
 
1.0%
18.0 1
 
1.0%
17.9 4
4.0%
17.8 2
2.0%
17.7 1
 
1.0%
17.4 2
2.0%
17.2 2
2.0%
17.0 2
2.0%
16.8 1
 
1.0%
16.7 1
 
1.0%

유입수BOD(mgL)
Real number (ℝ)

Distinct84
Distinct (%)84.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean149.951
Minimum90.4
Maximum340.8
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T20:24:16.889222image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum90.4
5-th percentile94.47
Q1117.675
median138.45
Q3155.475
95-th percentile297.39
Maximum340.8
Range250.4
Interquartile range (IQR)37.8

Descriptive statistics

Standard deviation54.385878
Coefficient of variation (CV)0.362691
Kurtosis3.9068328
Mean149.951
Median Absolute Deviation (MAD)19.25
Skewness2.0146161
Sum14995.1
Variance2957.8237
MonotonicityNot monotonic
2023-12-10T20:24:17.150910image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
150.0 3
 
3.0%
105.3 2
 
2.0%
157.5 2
 
2.0%
102.3 2
 
2.0%
154.8 2
 
2.0%
147.3 2
 
2.0%
90.4 2
 
2.0%
319.8 2
 
2.0%
141.0 2
 
2.0%
136.5 2
 
2.0%
Other values (74) 79
79.0%
ValueCountFrequency (%)
90.4 2
2.0%
91.0 1
1.0%
91.2 1
1.0%
92.0 1
1.0%
94.6 1
1.0%
95.6 1
1.0%
96.6 1
1.0%
99.0 1
1.0%
101.3 1
1.0%
102.3 2
2.0%
ValueCountFrequency (%)
340.8 1
1.0%
319.8 2
2.0%
312.6 1
1.0%
304.8 1
1.0%
297.0 1
1.0%
285.6 1
1.0%
284.4 1
1.0%
256.8 1
1.0%
217.2 1
1.0%
184.5 1
1.0%

유입수COD(mgL)
Real number (ℝ)

Distinct52
Distinct (%)52.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean114.3762
Minimum77.5
Maximum175.376
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T20:24:17.428802image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum77.5
5-th percentile85
Q1100
median111.4
Q3125.7
95-th percentile151.589
Maximum175.376
Range97.876
Interquartile range (IQR)25.7

Descriptive statistics

Standard deviation20.387553
Coefficient of variation (CV)0.17824996
Kurtosis0.50151543
Mean114.3762
Median Absolute Deviation (MAD)11.9
Skewness0.71674592
Sum11437.62
Variance415.65232
MonotonicityNot monotonic
2023-12-10T20:24:17.674497image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
100.0 6
 
6.0%
108.6 4
 
4.0%
114.3 4
 
4.0%
85.0 4
 
4.0%
131.4 4
 
4.0%
122.9 4
 
4.0%
111.4 4
 
4.0%
120.0 4
 
4.0%
125.7 4
 
4.0%
92.5 3
 
3.0%
Other values (42) 59
59.0%
ValueCountFrequency (%)
77.5 1
 
1.0%
80.0 1
 
1.0%
82.9 1
 
1.0%
85.0 4
4.0%
85.7 1
 
1.0%
87.5 1
 
1.0%
88.6 1
 
1.0%
90.0 1
 
1.0%
92.5 3
3.0%
94.3 1
 
1.0%
ValueCountFrequency (%)
175.376 1
1.0%
168.78 1
1.0%
165.288 1
1.0%
164.1 1
1.0%
156.7 1
1.0%
151.32 1
1.0%
150.156 1
1.0%
147.828 1
1.0%
146.276 1
1.0%
143.3 1
1.0%

유입수SS(mgL)
Real number (ℝ)

Distinct53
Distinct (%)53.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean152.02
Minimum82
Maximum346
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T20:24:17.950890image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum82
5-th percentile96
Q1121.5
median134
Q3166
95-th percentile290.75
Maximum346
Range264
Interquartile range (IQR)44.5

Descriptive statistics

Standard deviation55.018267
Coefficient of variation (CV)0.36191466
Kurtosis3.2439437
Mean152.02
Median Absolute Deviation (MAD)20
Skewness1.821648
Sum15202
Variance3027.0097
MonotonicityNot monotonic
2023-12-10T20:24:18.197550image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
128 7
 
7.0%
130 7
 
7.0%
122 5
 
5.0%
136 5
 
5.0%
116 4
 
4.0%
166 4
 
4.0%
126 3
 
3.0%
180 3
 
3.0%
96 3
 
3.0%
108 3
 
3.0%
Other values (43) 56
56.0%
ValueCountFrequency (%)
82 1
 
1.0%
84 1
 
1.0%
94 1
 
1.0%
96 3
3.0%
98 1
 
1.0%
102 2
2.0%
104 2
2.0%
106 1
 
1.0%
108 3
3.0%
110 1
 
1.0%
ValueCountFrequency (%)
346 1
1.0%
330 1
1.0%
325 1
1.0%
315 1
1.0%
305 1
1.0%
290 1
1.0%
245 1
1.0%
235 2
2.0%
230 2
2.0%
222 1
1.0%

유입수TN(mgL)
Real number (ℝ)

Distinct91
Distinct (%)91.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean39.37669
Minimum19.14
Maximum84.436
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T20:24:18.447545image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19.14
5-th percentile27.1695
Q130.75
median33.855
Q343.40225
95-th percentile73.2443
Maximum84.436
Range65.296
Interquartile range (IQR)12.65225

Descriptive statistics

Standard deviation13.652578
Coefficient of variation (CV)0.34671726
Kurtosis2.4454971
Mean39.37669
Median Absolute Deviation (MAD)5.1
Skewness1.6710989
Sum3937.669
Variance186.39288
MonotonicityNot monotonic
2023-12-10T20:24:18.703009image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
31.98 3
 
3.0%
33.42 3
 
3.0%
28.65 2
 
2.0%
33.6 2
 
2.0%
29.52 2
 
2.0%
30.96 2
 
2.0%
32.61 2
 
2.0%
73.244 1
 
1.0%
31.8 1
 
1.0%
29.55 1
 
1.0%
Other values (81) 81
81.0%
ValueCountFrequency (%)
19.14 1
1.0%
24.06 1
1.0%
24.99 1
1.0%
25.8 1
1.0%
26.97 1
1.0%
27.18 1
1.0%
27.36 1
1.0%
27.42 1
1.0%
27.99 1
1.0%
28.17 1
1.0%
ValueCountFrequency (%)
84.436 1
1.0%
82.89 1
1.0%
79.746 1
1.0%
74.657 1
1.0%
73.25 1
1.0%
73.244 1
1.0%
72.678 1
1.0%
71.03 1
1.0%
59.13 1
1.0%
57.15 1
1.0%

유입수TP
Real number (ℝ)

Distinct80
Distinct (%)80.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.96101
Minimum2.286
Maximum10.39
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T20:24:19.298460image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2.286
5-th percentile2.8077
Q13.192
median3.405
Q33.8775
95-th percentile9.09395
Maximum10.39
Range8.104
Interquartile range (IQR)0.6855

Descriptive statistics

Standard deviation1.6693633
Coefficient of variation (CV)0.4214489
Kurtosis6.526792
Mean3.96101
Median Absolute Deviation (MAD)0.273
Skewness2.6805545
Sum396.101
Variance2.7867738
MonotonicityNot monotonic
2023-12-10T20:24:19.571982image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
3.462 4
 
4.0%
3.192 3
 
3.0%
3.132 3
 
3.0%
3.006 2
 
2.0%
3.282 2
 
2.0%
3.744 2
 
2.0%
3.396 2
 
2.0%
3.378 2
 
2.0%
3.264 2
 
2.0%
2.994 2
 
2.0%
Other values (70) 76
76.0%
ValueCountFrequency (%)
2.286 1
1.0%
2.49 1
1.0%
2.598 1
1.0%
2.622 1
1.0%
2.688 1
1.0%
2.814 1
1.0%
2.85 1
1.0%
2.988 2
2.0%
2.994 2
2.0%
3.006 2
2.0%
ValueCountFrequency (%)
10.39 1
1.0%
9.878 1
1.0%
9.674 1
1.0%
9.616 1
1.0%
9.15 1
1.0%
9.091 1
1.0%
8.161 1
1.0%
7.216 1
1.0%
6.565 1
1.0%
5.62 1
1.0%
Distinct34
Distinct (%)34.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean103260
Minimum52000
Maximum271000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T20:24:19.826746image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum52000
5-th percentile84000
Q190000
median94000
Q399000
95-th percentile202050
Maximum271000
Range219000
Interquartile range (IQR)9000

Descriptive statistics

Standard deviation34333.957
Coefficient of variation (CV)0.33250007
Kurtosis10.729737
Mean103260
Median Absolute Deviation (MAD)5000
Skewness3.2721619
Sum10326000
Variance1.1788206 × 109
MonotonicityNot monotonic
2023-12-10T20:24:20.037483image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=34)
ValueCountFrequency (%)
89000 10
 
10.0%
90000 9
 
9.0%
99000 9
 
9.0%
91000 7
 
7.0%
110000 6
 
6.0%
97000 6
 
6.0%
92000 6
 
6.0%
95000 5
 
5.0%
94000 4
 
4.0%
101000 3
 
3.0%
Other values (24) 35
35.0%
ValueCountFrequency (%)
52000 1
 
1.0%
81000 1
 
1.0%
83000 2
 
2.0%
84000 2
 
2.0%
85000 1
 
1.0%
86000 1
 
1.0%
87000 3
 
3.0%
88000 3
 
3.0%
89000 10
10.0%
90000 9
9.0%
ValueCountFrequency (%)
271000 1
1.0%
246000 1
1.0%
218000 1
1.0%
211000 1
1.0%
203000 1
1.0%
202000 1
1.0%
195000 1
1.0%
131000 1
1.0%
120000 1
1.0%
111000 1
1.0%

유량(ms)
Real number (ℝ)

Distinct91
Distinct (%)91.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2884.33
Minimum363
Maximum8798
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T20:24:20.254621image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum363
5-th percentile470.8
Q1723.25
median1281.5
Q36583.75
95-th percentile7256.5
Maximum8798
Range8435
Interquartile range (IQR)5860.5

Descriptive statistics

Standard deviation2762.5138
Coefficient of variation (CV)0.95776622
Kurtosis-1.1235748
Mean2884.33
Median Absolute Deviation (MAD)772
Skewness0.82760353
Sum288433
Variance7631482.7
MonotonicityNot monotonic
2023-12-10T20:24:20.498585image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
6946 4
 
4.0%
7304 3
 
3.0%
7128 2
 
2.0%
1254 2
 
2.0%
1278 2
 
2.0%
1292 2
 
2.0%
1091 1
 
1.0%
1317 1
 
1.0%
1306 1
 
1.0%
1374 1
 
1.0%
Other values (81) 81
81.0%
ValueCountFrequency (%)
363 1
1.0%
411 1
1.0%
422 1
1.0%
424 1
1.0%
467 1
1.0%
471 1
1.0%
481 1
1.0%
485 1
1.0%
494 1
1.0%
495 1
1.0%
ValueCountFrequency (%)
8798 1
 
1.0%
8791 1
 
1.0%
7304 3
3.0%
7254 1
 
1.0%
7160 1
 
1.0%
7128 2
2.0%
7012 1
 
1.0%
6993 1
 
1.0%
6976 1
 
1.0%
6946 4
4.0%

방류수BOD(mgl)
Real number (ℝ)

Distinct52
Distinct (%)52.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.1084
Minimum1
Maximum7
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T20:24:20.748708image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11.315
median2.635
Q34.825
95-th percentile6.505
Maximum7
Range6
Interquartile range (IQR)3.51

Descriptive statistics

Standard deviation1.8480663
Coefficient of variation (CV)0.5945394
Kurtosis-1.0612322
Mean3.1084
Median Absolute Deviation (MAD)1.435
Skewness0.54142489
Sum310.84
Variance3.4153489
MonotonicityNot monotonic
2023-12-10T20:24:20.974859image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1.1 7
 
7.0%
1.2 7
 
7.0%
1.0 6
 
6.0%
1.3 5
 
5.0%
1.4 4
 
4.0%
3.0 4
 
4.0%
2.7 4
 
4.0%
6.6 3
 
3.0%
2.3 3
 
3.0%
2.2 3
 
3.0%
Other values (42) 54
54.0%
ValueCountFrequency (%)
1.0 6
6.0%
1.1 7
7.0%
1.2 7
7.0%
1.3 5
5.0%
1.32 1
 
1.0%
1.39 1
 
1.0%
1.4 4
4.0%
1.44 1
 
1.0%
1.45 1
 
1.0%
1.5 1
 
1.0%
ValueCountFrequency (%)
7.0 1
 
1.0%
6.7 1
 
1.0%
6.6 3
3.0%
6.5 1
 
1.0%
6.3 1
 
1.0%
6.2 1
 
1.0%
6.1 1
 
1.0%
6.0 1
 
1.0%
5.8 1
 
1.0%
5.7 2
2.0%

방류수COD(mgL)
Real number (ℝ)

Distinct32
Distinct (%)32.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8.72503
Minimum5.8
Maximum14
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T20:24:21.212175image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum5.8
5-th percentile6.6
Q17
median7.6
Q311.3
95-th percentile12.7
Maximum14
Range8.2
Interquartile range (IQR)4.3

Descriptive statistics

Standard deviation2.277907
Coefficient of variation (CV)0.26107726
Kurtosis-0.96288143
Mean8.72503
Median Absolute Deviation (MAD)0.8
Skewness0.83784243
Sum872.503
Variance5.1888601
MonotonicityNot monotonic
2023-12-10T20:24:21.434808image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=32)
ValueCountFrequency (%)
7.2 12
 
12.0%
7.0 10
 
10.0%
7.4 8
 
8.0%
7.6 8
 
8.0%
12.3 6
 
6.0%
6.8 6
 
6.0%
6.6 6
 
6.0%
12.7 5
 
5.0%
11.7 5
 
5.0%
12.0 4
 
4.0%
Other values (22) 30
30.0%
ValueCountFrequency (%)
5.8 1
 
1.0%
6.2 1
 
1.0%
6.4 2
 
2.0%
6.6 6
6.0%
6.8 6
6.0%
7.0 10
10.0%
7.2 12
12.0%
7.238 1
 
1.0%
7.4 8
8.0%
7.6 8
8.0%
ValueCountFrequency (%)
14.0 1
 
1.0%
13.0 2
 
2.0%
12.7 5
5.0%
12.3 6
6.0%
12.0 4
4.0%
11.7 5
5.0%
11.4 1
 
1.0%
11.3 3
3.0%
11.0 2
 
2.0%
10.3 1
 
1.0%

방류수SS
Real number (ℝ)

Distinct26
Distinct (%)26.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.28733
Minimum0.2
Maximum8.8
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T20:24:21.644017image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0.2
5-th percentile0.79
Q11.2
median1.7
Q33.6
95-th percentile4.8
Maximum8.8
Range8.6
Interquartile range (IQR)2.4

Descriptive statistics

Standard deviation1.5302731
Coefficient of variation (CV)0.66902156
Kurtosis2.9295421
Mean2.28733
Median Absolute Deviation (MAD)0.7
Skewness1.3841165
Sum228.733
Variance2.3417357
MonotonicityNot monotonic
2023-12-10T20:24:21.849057image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=26)
ValueCountFrequency (%)
1.2 14
14.0%
1.0 14
14.0%
3.6 11
11.0%
1.4 8
 
8.0%
0.8 5
 
5.0%
2.8 5
 
5.0%
3.2 5
 
5.0%
4.0 5
 
5.0%
1.6 4
 
4.0%
2.0 3
 
3.0%
Other values (16) 26
26.0%
ValueCountFrequency (%)
0.2 1
 
1.0%
0.4 2
 
2.0%
0.6 2
 
2.0%
0.8 5
 
5.0%
1.0 14
14.0%
1.2 14
14.0%
1.4 8
8.0%
1.6 4
 
4.0%
1.8 3
 
3.0%
1.933 1
 
1.0%
ValueCountFrequency (%)
8.8 1
 
1.0%
7.6 1
 
1.0%
5.2 1
 
1.0%
4.8 3
 
3.0%
4.4 2
 
2.0%
4.2 1
 
1.0%
4.0 5
5.0%
3.8 1
 
1.0%
3.6 11
11.0%
3.4 2
 
2.0%

방류수TN(mgL)
Real number (ℝ)

Distinct96
Distinct (%)96.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean12.62005
Minimum3.396
Maximum25.968
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T20:24:22.095128image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3.396
5-th percentile6.006
Q17.4145
median9.099
Q320.388
95-th percentile24.2346
Maximum25.968
Range22.572
Interquartile range (IQR)12.9735

Descriptive statistics

Standard deviation6.8573504
Coefficient of variation (CV)0.54336951
Kurtosis-1.120672
Mean12.62005
Median Absolute Deviation (MAD)2.433
Skewness0.7037792
Sum1262.005
Variance47.023254
MonotonicityNot monotonic
2023-12-10T20:24:22.347144image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
7.728 2
 
2.0%
21.288 2
 
2.0%
7.02 2
 
2.0%
7.452 2
 
2.0%
9.108 1
 
1.0%
6.54 1
 
1.0%
7.404 1
 
1.0%
7.644 1
 
1.0%
8.016 1
 
1.0%
8.46 1
 
1.0%
Other values (86) 86
86.0%
ValueCountFrequency (%)
3.396 1
1.0%
3.69 1
1.0%
4.152 1
1.0%
4.614 1
1.0%
5.892 1
1.0%
6.012 1
1.0%
6.096 1
1.0%
6.18 1
1.0%
6.408 1
1.0%
6.54 1
1.0%
ValueCountFrequency (%)
25.968 1
1.0%
25.944 1
1.0%
25.392 1
1.0%
25.368 1
1.0%
25.044 1
1.0%
24.192 1
1.0%
24.12 1
1.0%
23.976 1
1.0%
23.676 1
1.0%
23.448 1
1.0%

방류수TP
Real number (ℝ)

Distinct61
Distinct (%)61.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.08675
Minimum0.017
Maximum0.474
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T20:24:22.596219image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0.017
5-th percentile0.02
Q10.036
median0.068
Q30.084
95-th percentile0.28385
Maximum0.474
Range0.457
Interquartile range (IQR)0.048

Descriptive statistics

Standard deviation0.086901706
Coefficient of variation (CV)1.0017488
Kurtosis8.4622071
Mean0.08675
Median Absolute Deviation (MAD)0.021
Skewness2.8263025
Sum8.675
Variance0.0075519066
MonotonicityNot monotonic
2023-12-10T20:24:22.954920image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.056 6
 
6.0%
0.072 6
 
6.0%
0.026 5
 
5.0%
0.03 4
 
4.0%
0.02 3
 
3.0%
0.074 3
 
3.0%
0.089 3
 
3.0%
0.066 3
 
3.0%
0.028 2
 
2.0%
0.024 2
 
2.0%
Other values (51) 63
63.0%
ValueCountFrequency (%)
0.017 1
 
1.0%
0.019 2
 
2.0%
0.02 3
3.0%
0.022 1
 
1.0%
0.023 1
 
1.0%
0.024 2
 
2.0%
0.026 5
5.0%
0.028 2
 
2.0%
0.03 4
4.0%
0.031 1
 
1.0%
ValueCountFrequency (%)
0.474 1
1.0%
0.466 1
1.0%
0.371 1
1.0%
0.356 1
1.0%
0.319 1
1.0%
0.282 1
1.0%
0.263 1
1.0%
0.22 1
1.0%
0.212 1
1.0%
0.197 1
1.0%

방류수대장균수(개ml)
Real number (ℝ)

ZEROS 

Distinct45
Distinct (%)45.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean80.18
Minimum0
Maximum200
Zeros4
Zeros (%)4.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T20:24:23.186589image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile3.95
Q111
median81.5
Q3140
95-th percentile180
Maximum200
Range200
Interquartile range (IQR)129

Descriptive statistics

Standard deviation63.527196
Coefficient of variation (CV)0.79230726
Kurtosis-1.4087382
Mean80.18
Median Absolute Deviation (MAD)68.5
Skewness0.18419742
Sum8018
Variance4035.7046
MonotonicityNot monotonic
2023-12-10T20:24:23.465760image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=45)
ValueCountFrequency (%)
140 8
 
8.0%
160 6
 
6.0%
10 5
 
5.0%
100 4
 
4.0%
0 4
 
4.0%
12 4
 
4.0%
130 4
 
4.0%
170 4
 
4.0%
180 4
 
4.0%
11 3
 
3.0%
Other values (35) 54
54.0%
ValueCountFrequency (%)
0 4
4.0%
3 1
 
1.0%
4 3
3.0%
5 2
 
2.0%
6 2
 
2.0%
7 1
 
1.0%
8 3
3.0%
9 2
 
2.0%
10 5
5.0%
11 3
3.0%
ValueCountFrequency (%)
200 1
 
1.0%
190 2
 
2.0%
180 4
4.0%
170 4
4.0%
160 6
6.0%
150 3
 
3.0%
140 8
8.0%
130 4
4.0%
120 3
 
3.0%
110 2
 
2.0%

방류량(㎥d)
Real number (ℝ)

Distinct97
Distinct (%)97.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2635.75
Minimum268
Maximum6965
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T20:24:23.858828image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum268
5-th percentile410.4
Q1520.75
median1156
Q36373.5
95-th percentile6869.65
Maximum6965
Range6697
Interquartile range (IQR)5852.75

Descriptive statistics

Standard deviation2616.9097
Coefficient of variation (CV)0.99285202
Kurtosis-1.20957
Mean2635.75
Median Absolute Deviation (MAD)692.5
Skewness0.82113824
Sum263575
Variance6848216.4
MonotonicityNot monotonic
2023-12-10T20:24:24.142452image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
6893 2
 
2.0%
464 2
 
2.0%
6797 2
 
2.0%
6258 1
 
1.0%
6691 1
 
1.0%
1159 1
 
1.0%
1033 1
 
1.0%
1234 1
 
1.0%
1153 1
 
1.0%
1289 1
 
1.0%
Other values (87) 87
87.0%
ValueCountFrequency (%)
268 1
1.0%
301 1
1.0%
328 1
1.0%
343 1
1.0%
380 1
1.0%
412 1
1.0%
420 1
1.0%
427 1
1.0%
431 1
1.0%
446 1
1.0%
ValueCountFrequency (%)
6965 1
1.0%
6908 1
1.0%
6893 2
2.0%
6882 1
1.0%
6869 1
1.0%
6866 1
1.0%
6797 2
2.0%
6760 1
1.0%
6691 1
1.0%
6664 1
1.0%

Sample

권역본부코드사업장코드수질등록일자관리단코드기온강수량(mm)수온유입수BOD(mgL)유입수COD(mgL)유입수SS(mgL)유입수TN(mgL)유입수TP유입수대장균수(개ml)유량(ms)방류수BOD(mgl)방류수COD(mgL)방류수SS방류수TN(mgL)방류수TP방류수대장균수(개ml)방류량(㎥d)
0905000320190425000050013.20.014.7150.0108.615032.614.26840004953.47.82.09.1080.13488380
190500032019040200005008.00.013.3155.4128.616635.073.282990008143.38.64.211.4480.07652490
2905000320190417000050017.20.016.7155.7120.013834.653.192990006513.27.01.29.3720.46689517
3905000320190424000050018.10.017.2145.8116.718634.084.6441310004673.07.03.810.3080.19799462
4905000320190409000050013.00.014.9137.7125.714834.413.192970005782.37.21.05.8920.06660420
590500032019040300005009.00.013.4172.2116.721835.673.33900007884.07.81.213.4280.0780464
6905000320190413000050011.80.013.1132.3126.714033.423.216950006343.06.80.86.180.06670427
7905000320190416000050014.60.016.4136.8114.313030.963.294910006222.76.83.67.020.06183451
8905000320190420000050014.00.014.6130.2137.112033.784.266900008712.27.41.03.690.21290480
9905000320190423000050023.10.017.9149.4136.729033.875.244850005242.77.61.07.3080.31966412
권역본부코드사업장코드수질등록일자관리단코드기온강수량(mm)수온유입수BOD(mgL)유입수COD(mgL)유입수SS(mgL)유입수TN(mgL)유입수TP유입수대장균수(개ml)유량(ms)방류수BOD(mgl)방류수COD(mgL)방류수SS방류수TN(mgL)방류수TP방류수대장균수(개ml)방류량(㎥d)
90914000120190430000040015.50.017.9319.8164.123584.4369.6748100024152.28.63.68.6310.09792043
91914000120190415000040011.60.016.1304.8165.28824571.039.1521100023611.397.6242.248.5150.06801900
92914000120190429000040013.06.017.9312.6175.37630574.65710.3927100024992.678.1673.69.7550.10462094
93914000120190428000040012.90.017.7285.6132.30822072.6785.6221800023652.527.8963.68.2470.08941962
9491400012019041400004009.61.715.8284.4146.27632543.9196.56520200020951.457.8762.167.4180.05901675
95914000120190407000040012.60.015.7217.2117.88818073.257.2169500022001.327.2381.69.8160.05401776
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