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

Categorical4
Numeric17

Alerts

권역본부코드 is highly imbalanced (63.4%)Imbalance
관리단코드 is highly imbalanced (63.4%)Imbalance
강수량(mm) is highly imbalanced (89.8%)Imbalance
방류수대장균수(개ml) has 3 (3.0%) zerosZeros

Reproduction

Analysis started2023-12-10 11:24:25.339111
Analysis finished2023-12-10 11:24:25.530762
Duration0.19 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
93 
91
 
7

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 93
93.0%
91 7
 
7.0%

Length

2023-12-10T20:24:25.644525image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T20:24:25.807199image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
90 93
93.0%
91 7
 
7.0%

사업장코드
Categorical

Distinct4
Distinct (%)4.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
50003
31 
50001
31 
50002
31 
40001

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 31
31.0%
50001 31
31.0%
50002 31
31.0%
40001 7
 
7.0%

Length

2023-12-10T20:24:26.030515image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T20:24:26.218222image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
50003 31
31.0%
50001 31
31.0%
50002 31
31.0%
40001 7
 
7.0%

수질등록일자
Real number (ℝ)

Distinct31
Distinct (%)31.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.0190316 × 1011
Minimum2.0190301 × 1011
Maximum2.0190331 × 1011
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T20:24:26.502081image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2.0190301 × 1011
5-th percentile2.0190302 × 1011
Q12.0190309 × 1011
median2.0190316 × 1011
Q32.0190324 × 1011
95-th percentile2.019033 × 1011
Maximum2.0190331 × 1011
Range300000
Interquartile range (IQR)155000

Descriptive statistics

Standard deviation91244.814
Coefficient of variation (CV)4.5192365 × 10-7
Kurtosis-1.2229256
Mean2.0190316 × 1011
Median Absolute Deviation (MAD)80000
Skewness-0.014745406
Sum2.0190316 × 1013
Variance8.3256162 × 109
MonotonicityNot monotonic
2023-12-10T20:24:26.724480image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=31)
ValueCountFrequency (%)
201903070000 4
 
4.0%
201903140000 4
 
4.0%
201903290000 4
 
4.0%
201903310000 4
 
4.0%
201903300000 4
 
4.0%
201903150000 4
 
4.0%
201903280000 4
 
4.0%
201903220000 3
 
3.0%
201903180000 3
 
3.0%
201903190000 3
 
3.0%
Other values (21) 63
63.0%
ValueCountFrequency (%)
201903010000 3
3.0%
201903020000 3
3.0%
201903030000 3
3.0%
201903040000 3
3.0%
201903050000 3
3.0%
201903060000 3
3.0%
201903070000 4
4.0%
201903080000 3
3.0%
201903090000 3
3.0%
201903100000 3
3.0%
ValueCountFrequency (%)
201903310000 4
4.0%
201903300000 4
4.0%
201903290000 4
4.0%
201903280000 4
4.0%
201903270000 3
3.0%
201903260000 3
3.0%
201903250000 3
3.0%
201903240000 3
3.0%
201903230000 3
3.0%
201903220000 3
3.0%

관리단코드
Categorical

IMBALANCE 

Distinct2
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
500
93 
400
 
7

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 93
93.0%
400 7
 
7.0%

Length

2023-12-10T20:24:26.976705image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T20:24:27.149343image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
500 93
93.0%
400 7
 
7.0%

기온
Real number (ℝ)

Distinct17
Distinct (%)17.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.632
Minimum1
Maximum11
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T20:24:27.317709image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q14
median5
Q38
95-th percentile10
Maximum11
Range10
Interquartile range (IQR)4

Descriptive statistics

Standard deviation2.6101155
Coefficient of variation (CV)0.46344381
Kurtosis-0.71822629
Mean5.632
Median Absolute Deviation (MAD)1
Skewness0.38418575
Sum563.2
Variance6.812703
MonotonicityNot monotonic
2023-12-10T20:24:27.516452image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=17)
ValueCountFrequency (%)
4.0 18
18.0%
5.0 16
16.0%
8.0 12
12.0%
6.0 12
12.0%
10.0 9
9.0%
2.0 9
9.0%
3.0 6
 
6.0%
9.0 3
 
3.0%
4.5 3
 
3.0%
11.0 3
 
3.0%
Other values (7) 9
9.0%
ValueCountFrequency (%)
1.0 3
 
3.0%
2.0 9
9.0%
3.0 6
 
6.0%
4.0 18
18.0%
4.4 1
 
1.0%
4.5 3
 
3.0%
5.0 16
16.0%
5.2 1
 
1.0%
5.5 1
 
1.0%
6.0 12
12.0%
ValueCountFrequency (%)
11.0 3
 
3.0%
10.0 9
9.0%
9.4 1
 
1.0%
9.2 1
 
1.0%
9.0 3
 
3.0%
8.0 12
12.0%
7.0 1
 
1.0%
6.0 12
12.0%
5.5 1
 
1.0%
5.2 1
 
1.0%

강수량(mm)
Categorical

IMBALANCE 

Distinct3
Distinct (%)3.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
0
98 
3
 
1
1
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique2 ?
Unique (%)2.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 98
98.0%
3 1
 
1.0%
1 1
 
1.0%

Length

2023-12-10T20:24:27.725322image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T20:24:27.897848image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 98
98.0%
3 1
 
1.0%
1 1
 
1.0%

수온
Real number (ℝ)

Distinct14
Distinct (%)14.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean12.73
Minimum12.3
Maximum15.3
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T20:24:28.085499image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum12.3
5-th percentile12.4
Q112.5
median12.6
Q312.7
95-th percentile13.91
Maximum15.3
Range3
Interquartile range (IQR)0.2

Descriptive statistics

Standard deviation0.54504193
Coefficient of variation (CV)0.042815548
Kurtosis12.352466
Mean12.73
Median Absolute Deviation (MAD)0.1
Skewness3.4536947
Sum1273
Variance0.29707071
MonotonicityNot monotonic
2023-12-10T20:24:28.359817image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
12.6 21
21.0%
12.5 20
20.0%
12.7 18
18.0%
12.4 16
16.0%
12.8 9
9.0%
12.9 4
 
4.0%
12.3 3
 
3.0%
13.0 2
 
2.0%
15.3 2
 
2.0%
14.7 1
 
1.0%
Other values (4) 4
 
4.0%
ValueCountFrequency (%)
12.3 3
 
3.0%
12.4 16
16.0%
12.5 20
20.0%
12.6 21
21.0%
12.7 18
18.0%
12.8 9
9.0%
12.9 4
 
4.0%
13.0 2
 
2.0%
13.6 1
 
1.0%
13.9 1
 
1.0%
ValueCountFrequency (%)
15.3 2
 
2.0%
14.8 1
 
1.0%
14.7 1
 
1.0%
14.1 1
 
1.0%
13.9 1
 
1.0%
13.6 1
 
1.0%
13.0 2
 
2.0%
12.9 4
 
4.0%
12.8 9
9.0%
12.7 18
18.0%

유입수BOD(mgL)
Real number (ℝ)

Distinct90
Distinct (%)90.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean147.708
Minimum95.4
Maximum339
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T20:24:28.606623image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum95.4
5-th percentile101.475
Q1120.875
median133.35
Q3158.475
95-th percentile297.6
Maximum339
Range243.6
Interquartile range (IQR)37.6

Descriptive statistics

Standard deviation51.80193
Coefficient of variation (CV)0.35070497
Kurtosis5.6419492
Mean147.708
Median Absolute Deviation (MAD)18.75
Skewness2.3626243
Sum14770.8
Variance2683.4399
MonotonicityNot monotonic
2023-12-10T20:24:29.321968image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
169.2 2
 
2.0%
130.8 2
 
2.0%
107.5 2
 
2.0%
122.4 2
 
2.0%
121.5 2
 
2.0%
108.0 2
 
2.0%
126.6 2
 
2.0%
110.5 2
 
2.0%
132.6 2
 
2.0%
297.6 2
 
2.0%
Other values (80) 80
80.0%
ValueCountFrequency (%)
95.4 1
1.0%
95.8 1
1.0%
99.4 1
1.0%
100.4 1
1.0%
101.0 1
1.0%
101.5 1
1.0%
102.3 1
1.0%
102.6 1
1.0%
103.3 1
1.0%
104.5 1
1.0%
ValueCountFrequency (%)
339.0 1
1.0%
334.8 1
1.0%
325.8 1
1.0%
315.0 1
1.0%
297.6 2
2.0%
288.6 1
1.0%
200.4 1
1.0%
190.4 1
1.0%
188.4 1
1.0%
185.2 1
1.0%

유입수COD(mgL)
Real number (ℝ)

Distinct48
Distinct (%)48.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean119.4618
Minimum90.1
Maximum180.864
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T20:24:29.582339image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum90.1
5-th percentile95.485
Q1102.575
median120
Q3128.7
95-th percentile152.16
Maximum180.864
Range90.764
Interquartile range (IQR)26.125

Descriptive statistics

Standard deviation18.161585
Coefficient of variation (CV)0.15202839
Kurtosis1.4785944
Mean119.4618
Median Absolute Deviation (MAD)11.4
Skewness0.83336443
Sum11946.18
Variance329.84316
MonotonicityNot monotonic
2023-12-10T20:24:29.820557image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=48)
ValueCountFrequency (%)
131.4 7
 
7.0%
125.7 6
 
6.0%
120.0 6
 
6.0%
117.5 5
 
5.0%
122.9 5
 
5.0%
95.6 5
 
5.0%
123.0 4
 
4.0%
100.0 4
 
4.0%
97.8 4
 
4.0%
102.2 4
 
4.0%
Other values (38) 50
50.0%
ValueCountFrequency (%)
90.1 1
 
1.0%
91.1 1
 
1.0%
91.2 1
 
1.0%
93.3 2
 
2.0%
95.6 5
5.0%
95.7 1
 
1.0%
97.8 4
4.0%
100.0 4
4.0%
100.1 1
 
1.0%
102.2 4
4.0%
ValueCountFrequency (%)
180.864 1
1.0%
175.872 1
1.0%
173.184 1
1.0%
156.8 1
1.0%
153.984 1
1.0%
152.064 1
1.0%
150.912 1
1.0%
143.3 1
1.0%
140.0 1
1.0%
136.7 2
2.0%

유입수SS(mgL)
Real number (ℝ)

Distinct57
Distinct (%)57.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean167.13
Minimum60
Maximum600
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T20:24:30.036445image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum60
5-th percentile110
Q1132
median151
Q3176.5
95-th percentile266.2
Maximum600
Range540
Interquartile range (IQR)44.5

Descriptive statistics

Standard deviation70.415743
Coefficient of variation (CV)0.42132318
Kurtosis16.542901
Mean167.13
Median Absolute Deviation (MAD)20
Skewness3.5209011
Sum16713
Variance4958.3769
MonotonicityNot monotonic
2023-12-10T20:24:30.283327image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
154 5
 
5.0%
140 5
 
5.0%
144 5
 
5.0%
138 5
 
5.0%
122 4
 
4.0%
128 4
 
4.0%
166 4
 
4.0%
132 3
 
3.0%
110 3
 
3.0%
180 3
 
3.0%
Other values (47) 59
59.0%
ValueCountFrequency (%)
60 1
 
1.0%
104 1
 
1.0%
108 1
 
1.0%
110 3
3.0%
112 1
 
1.0%
114 1
 
1.0%
116 1
 
1.0%
120 2
2.0%
122 4
4.0%
124 1
 
1.0%
ValueCountFrequency (%)
600 1
1.0%
440 1
1.0%
385 1
1.0%
360 1
1.0%
270 1
1.0%
266 1
1.0%
260 1
1.0%
254 1
1.0%
246 1
1.0%
228 1
1.0%

유입수TN(mgL)
Real number (ℝ)

Distinct94
Distinct (%)94.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean40.86286
Minimum29.58
Maximum96.056
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T20:24:30.526319image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum29.58
5-th percentile30.051
Q133.4425
median36.885
Q343.91625
95-th percentile64.6042
Maximum96.056
Range66.476
Interquartile range (IQR)10.47375

Descriptive statistics

Standard deviation11.875686
Coefficient of variation (CV)0.29062298
Kurtosis6.7359146
Mean40.86286
Median Absolute Deviation (MAD)4.155
Skewness2.3521624
Sum4086.286
Variance141.03192
MonotonicityNot monotonic
2023-12-10T20:24:30.778459image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
33.36 2
 
2.0%
30.75 2
 
2.0%
36.42 2
 
2.0%
37.62 2
 
2.0%
38.31 2
 
2.0%
31.98 2
 
2.0%
34.89 1
 
1.0%
34.41 1
 
1.0%
29.73 1
 
1.0%
30.99 1
 
1.0%
Other values (84) 84
84.0%
ValueCountFrequency (%)
29.58 1
1.0%
29.73 1
1.0%
29.76 1
1.0%
29.82 1
1.0%
29.88 1
1.0%
30.06 1
1.0%
30.33 1
1.0%
30.69 1
1.0%
30.75 2
2.0%
30.99 1
1.0%
ValueCountFrequency (%)
96.056 1
1.0%
85.176 1
1.0%
79.712 1
1.0%
73.219 1
1.0%
72.056 1
1.0%
64.212 1
1.0%
57.51 1
1.0%
54.03 1
1.0%
52.38 1
1.0%
51.42 1
1.0%

유입수TP
Real number (ℝ)

Distinct73
Distinct (%)73.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.05192
Minimum3.126
Maximum11.325
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T20:24:31.028474image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3.126
5-th percentile3.2154
Q13.474
median3.678
Q33.882
95-th percentile7.6227
Maximum11.325
Range8.199
Interquartile range (IQR)0.408

Descriptive statistics

Standard deviation1.463019
Coefficient of variation (CV)0.36106808
Kurtosis13.618707
Mean4.05192
Median Absolute Deviation (MAD)0.204
Skewness3.6520819
Sum405.192
Variance2.1404246
MonotonicityNot monotonic
2023-12-10T20:24:31.251268image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
3.594 4
 
4.0%
3.396 4
 
4.0%
3.264 3
 
3.0%
3.576 3
 
3.0%
3.522 2
 
2.0%
3.678 2
 
2.0%
3.804 2
 
2.0%
3.132 2
 
2.0%
3.864 2
 
2.0%
3.786 2
 
2.0%
Other values (63) 74
74.0%
ValueCountFrequency (%)
3.126 1
 
1.0%
3.132 2
2.0%
3.156 1
 
1.0%
3.204 1
 
1.0%
3.216 1
 
1.0%
3.24 1
 
1.0%
3.264 3
3.0%
3.282 1
 
1.0%
3.294 2
2.0%
3.306 1
 
1.0%
ValueCountFrequency (%)
11.325 1
1.0%
11.162 1
1.0%
9.333 1
1.0%
9.004 1
1.0%
7.883 1
1.0%
7.609 1
1.0%
5.892 1
1.0%
5.382 1
1.0%
4.794 1
1.0%
4.782 1
1.0%
Distinct56
Distinct (%)56.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean88530
Minimum42000
Maximum500000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T20:24:31.495008image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum42000
5-th percentile46950
Q153750
median66500
Q391000
95-th percentile190800
Maximum500000
Range458000
Interquartile range (IQR)37250

Descriptive statistics

Standard deviation72727.554
Coefficient of variation (CV)0.82150179
Kurtosis18.713256
Mean88530
Median Absolute Deviation (MAD)18000
Skewness4.0457542
Sum8853000
Variance5.2892971 × 109
MonotonicityNot monotonic
2023-12-10T20:24:31.699150image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
47000 5
 
5.0%
55000 5
 
5.0%
72000 4
 
4.0%
89000 4
 
4.0%
49000 4
 
4.0%
52000 4
 
4.0%
59000 4
 
4.0%
58000 3
 
3.0%
54000 3
 
3.0%
50000 3
 
3.0%
Other values (46) 61
61.0%
ValueCountFrequency (%)
42000 1
 
1.0%
44000 2
 
2.0%
45000 1
 
1.0%
46000 1
 
1.0%
47000 5
5.0%
48000 1
 
1.0%
49000 4
4.0%
50000 3
3.0%
51000 2
 
2.0%
52000 4
4.0%
ValueCountFrequency (%)
500000 1
1.0%
470000 1
1.0%
370000 1
1.0%
218000 1
1.0%
206000 1
1.0%
190000 1
1.0%
150000 1
1.0%
148500 1
1.0%
146500 1
1.0%
140000 2
2.0%

유량(ms)
Real number (ℝ)

Distinct97
Distinct (%)97.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2753.86
Minimum340
Maximum7501
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T20:24:31.908453image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum340
5-th percentile396.75
Q1578.5
median1211.5
Q36432.75
95-th percentile6838
Maximum7501
Range7161
Interquartile range (IQR)5854.25

Descriptive statistics

Standard deviation2690.3639
Coefficient of variation (CV)0.97694289
Kurtosis-1.3302469
Mean2753.86
Median Absolute Deviation (MAD)749.5
Skewness0.7569452
Sum275386
Variance7238058.1
MonotonicityNot monotonic
2023-12-10T20:24:32.101282image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
6838 2
 
2.0%
548 2
 
2.0%
1149 2
 
2.0%
1175 1
 
1.0%
1134 1
 
1.0%
1124 1
 
1.0%
1119 1
 
1.0%
1146 1
 
1.0%
1185 1
 
1.0%
1152 1
 
1.0%
Other values (87) 87
87.0%
ValueCountFrequency (%)
340 1
1.0%
365 1
1.0%
371 1
1.0%
379 1
1.0%
392 1
1.0%
397 1
1.0%
402 1
1.0%
426 1
1.0%
432 1
1.0%
435 1
1.0%
ValueCountFrequency (%)
7501 1
1.0%
7304 1
1.0%
7024 1
1.0%
6907 1
1.0%
6838 2
2.0%
6826 1
1.0%
6800 1
1.0%
6783 1
1.0%
6767 1
1.0%
6725 1
1.0%

방류수BOD(mgl)
Real number (ℝ)

Distinct39
Distinct (%)39.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.9393
Minimum0.8
Maximum7.5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T20:24:32.275736image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0.8
5-th percentile1.095
Q11.3
median2.9
Q34.325
95-th percentile5.62
Maximum7.5
Range6.7
Interquartile range (IQR)3.025

Descriptive statistics

Standard deviation1.6041136
Coefficient of variation (CV)0.5457468
Kurtosis-0.56639223
Mean2.9393
Median Absolute Deviation (MAD)1.53
Skewness0.52106125
Sum293.93
Variance2.5731803
MonotonicityNot monotonic
2023-12-10T20:24:32.491558image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=39)
ValueCountFrequency (%)
1.2 8
 
8.0%
1.3 8
 
8.0%
1.1 6
 
6.0%
2.9 6
 
6.0%
3.3 5
 
5.0%
1.4 5
 
5.0%
2.7 5
 
5.0%
4.7 5
 
5.0%
3.1 4
 
4.0%
1.0 4
 
4.0%
Other values (29) 44
44.0%
ValueCountFrequency (%)
0.8 1
 
1.0%
1.0 4
4.0%
1.1 6
6.0%
1.2 8
8.0%
1.3 8
8.0%
1.34 1
 
1.0%
1.4 5
5.0%
1.5 1
 
1.0%
1.63 1
 
1.0%
1.66 1
 
1.0%
ValueCountFrequency (%)
7.5 1
 
1.0%
6.8 1
 
1.0%
6.1 1
 
1.0%
6.0 2
 
2.0%
5.6 2
 
2.0%
5.1 2
 
2.0%
4.9 2
 
2.0%
4.8 3
3.0%
4.7 5
5.0%
4.6 1
 
1.0%

방류수COD(mgL)
Real number (ℝ)

Distinct40
Distinct (%)40.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9.15752
Minimum5.2
Maximum14.2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T20:24:32.686322image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum5.2
5-th percentile6.19
Q17.2
median8.2
Q312
95-th percentile13
Maximum14.2
Range9
Interquartile range (IQR)4.8

Descriptive statistics

Standard deviation2.4184779
Coefficient of variation (CV)0.26409747
Kurtosis-1.2128157
Mean9.15752
Median Absolute Deviation (MAD)1.2
Skewness0.48925185
Sum915.752
Variance5.8490354
MonotonicityNot monotonic
2023-12-10T20:24:32.878151image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=40)
ValueCountFrequency (%)
12.3 10
 
10.0%
7.0 8
 
8.0%
8.2 7
 
7.0%
7.8 7
 
7.0%
12.0 6
 
6.0%
8.0 6
 
6.0%
7.2 6
 
6.0%
7.4 4
 
4.0%
7.6 3
 
3.0%
6.8 3
 
3.0%
Other values (30) 40
40.0%
ValueCountFrequency (%)
5.2 1
 
1.0%
5.4 1
 
1.0%
5.8 2
 
2.0%
6.0 1
 
1.0%
6.2 1
 
1.0%
6.4 2
 
2.0%
6.6 2
 
2.0%
6.8 3
 
3.0%
7.0 8
8.0%
7.2 6
6.0%
ValueCountFrequency (%)
14.2 1
 
1.0%
13.8 1
 
1.0%
13.2 2
 
2.0%
13.0 2
 
2.0%
12.9 1
 
1.0%
12.7 2
 
2.0%
12.6 2
 
2.0%
12.5 1
 
1.0%
12.3 10
10.0%
12.0 6
6.0%

방류수SS
Real number (ℝ)

Distinct28
Distinct (%)28.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.5602
Minimum0.2
Maximum5.8
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T20:24:33.040045image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0.2
5-th percentile1
Q11.4
median2.45
Q33.6
95-th percentile4.4
Maximum5.8
Range5.6
Interquartile range (IQR)2.2

Descriptive statistics

Standard deviation1.2489753
Coefficient of variation (CV)0.48784287
Kurtosis-0.87239701
Mean2.5602
Median Absolute Deviation (MAD)1.05
Skewness0.32161771
Sum256.02
Variance1.5599394
MonotonicityNot monotonic
2023-12-10T20:24:33.228495image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=28)
ValueCountFrequency (%)
3.2 13
13.0%
1.4 11
 
11.0%
1.2 10
 
10.0%
4.4 6
 
6.0%
1.6 6
 
6.0%
4.0 6
 
6.0%
1.0 5
 
5.0%
3.6 5
 
5.0%
3.0 4
 
4.0%
2.0 4
 
4.0%
Other values (18) 30
30.0%
ValueCountFrequency (%)
0.2 1
 
1.0%
0.8 3
 
3.0%
1.0 5
5.0%
1.2 10
10.0%
1.4 11
11.0%
1.6 6
6.0%
1.8 4
 
4.0%
1.92 1
 
1.0%
2.0 4
 
4.0%
2.2 1
 
1.0%
ValueCountFrequency (%)
5.8 1
 
1.0%
5.5 1
 
1.0%
4.8 1
 
1.0%
4.6 1
 
1.0%
4.4 6
6.0%
4.2 2
 
2.0%
4.0 6
6.0%
3.8 3
3.0%
3.6 5
5.0%
3.5 1
 
1.0%

방류수TN(mgL)
Real number (ℝ)

Distinct92
Distinct (%)92.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean12.74289
Minimum4.944
Maximum23.94
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T20:24:33.473695image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum4.944
5-th percentile6.825
Q17.9245
median9.153
Q321.021
95-th percentile23.2398
Maximum23.94
Range18.996
Interquartile range (IQR)13.0965

Descriptive statistics

Standard deviation6.5003485
Coefficient of variation (CV)0.51011572
Kurtosis-1.2552417
Mean12.74289
Median Absolute Deviation (MAD)1.497
Skewness0.77505668
Sum1274.289
Variance42.25453
MonotonicityNot monotonic
2023-12-10T20:24:33.748643image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
8.016 3
 
3.0%
7.728 3
 
3.0%
7.8 2
 
2.0%
7.572 2
 
2.0%
22.536 2
 
2.0%
9.288 2
 
2.0%
12.804 1
 
1.0%
8.124 1
 
1.0%
8.784 1
 
1.0%
8.424 1
 
1.0%
Other values (82) 82
82.0%
ValueCountFrequency (%)
4.944 1
1.0%
6.168 1
1.0%
6.192 1
1.0%
6.624 1
1.0%
6.768 1
1.0%
6.828 1
1.0%
6.84 1
1.0%
6.96 1
1.0%
7.008 1
1.0%
7.104 1
1.0%
ValueCountFrequency (%)
23.94 1
1.0%
23.928 1
1.0%
23.784 1
1.0%
23.724 1
1.0%
23.616 1
1.0%
23.22 1
1.0%
23.196 1
1.0%
23.04 1
1.0%
22.884 1
1.0%
22.86 1
1.0%

방류수TP
Real number (ℝ)

Distinct56
Distinct (%)56.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.0616
Minimum0.017
Maximum0.132
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T20:24:34.124034image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0.017
5-th percentile0.023
Q10.03075
median0.0665
Q30.082
95-th percentile0.1002
Maximum0.132
Range0.115
Interquartile range (IQR)0.05125

Descriptive statistics

Standard deviation0.027138627
Coefficient of variation (CV)0.44056212
Kurtosis-0.94187722
Mean0.0616
Median Absolute Deviation (MAD)0.018
Skewness-0.031731889
Sum6.16
Variance0.00073650505
MonotonicityNot monotonic
2023-12-10T20:24:34.392142image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.03 5
 
5.0%
0.072 5
 
5.0%
0.082 4
 
4.0%
0.084 4
 
4.0%
0.023 4
 
4.0%
0.079 4
 
4.0%
0.026 3
 
3.0%
0.096 3
 
3.0%
0.07 3
 
3.0%
0.067 3
 
3.0%
Other values (46) 62
62.0%
ValueCountFrequency (%)
0.017 1
 
1.0%
0.019 1
 
1.0%
0.02 1
 
1.0%
0.022 1
 
1.0%
0.023 4
4.0%
0.024 3
3.0%
0.025 2
2.0%
0.026 3
3.0%
0.028 2
2.0%
0.029 2
2.0%
ValueCountFrequency (%)
0.132 1
 
1.0%
0.113 1
 
1.0%
0.106 1
 
1.0%
0.104 2
2.0%
0.1 1
 
1.0%
0.098 1
 
1.0%
0.097 1
 
1.0%
0.096 3
3.0%
0.095 1
 
1.0%
0.092 2
2.0%

방류수대장균수(개ml)
Real number (ℝ)

ZEROS 

Distinct53
Distinct (%)53.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean68.9
Minimum0
Maximum320
Zeros3
Zeros (%)3.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T20:24:34.642154image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2
Q110
median40
Q371.75
95-th percentile290
Maximum320
Range320
Interquartile range (IQR)61.75

Descriptive statistics

Standard deviation88.241347
Coefficient of variation (CV)1.2807162
Kurtosis1.8142919
Mean68.9
Median Absolute Deviation (MAD)30
Skewness1.7407408
Sum6890
Variance7786.5354
MonotonicityNot monotonic
2023-12-10T20:24:34.879983image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
8 6
 
6.0%
10 6
 
6.0%
55 4
 
4.0%
50 4
 
4.0%
7 3
 
3.0%
300 3
 
3.0%
12 3
 
3.0%
290 3
 
3.0%
40 3
 
3.0%
2 3
 
3.0%
Other values (43) 62
62.0%
ValueCountFrequency (%)
0 3
3.0%
1 1
 
1.0%
2 3
3.0%
3 3
3.0%
4 1
 
1.0%
5 1
 
1.0%
6 1
 
1.0%
7 3
3.0%
8 6
6.0%
9 2
 
2.0%
ValueCountFrequency (%)
320 1
 
1.0%
300 3
3.0%
290 3
3.0%
270 3
3.0%
250 1
 
1.0%
240 1
 
1.0%
190 2
2.0%
180 1
 
1.0%
120 1
 
1.0%
110 1
 
1.0%

방류량(㎥d)
Real number (ℝ)

Distinct97
Distinct (%)97.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2524.53
Minimum327
Maximum6835
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T20:24:35.126301image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum327
5-th percentile390.95
Q1521.25
median1121
Q35828.75
95-th percentile6609.25
Maximum6835
Range6508
Interquartile range (IQR)5307.5

Descriptive statistics

Standard deviation2501.1121
Coefficient of variation (CV)0.99072384
Kurtosis-1.2707398
Mean2524.53
Median Absolute Deviation (MAD)680
Skewness0.79141795
Sum252453
Variance6255561.5
MonotonicityNot monotonic
2023-12-10T20:24:35.367792image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
439 2
 
2.0%
1125 2
 
2.0%
1121 2
 
2.0%
443 1
 
1.0%
1078 1
 
1.0%
1011 1
 
1.0%
1039 1
 
1.0%
1105 1
 
1.0%
1064 1
 
1.0%
1031 1
 
1.0%
Other values (87) 87
87.0%
ValueCountFrequency (%)
327 1
1.0%
363 1
1.0%
376 1
1.0%
380 1
1.0%
390 1
1.0%
391 1
1.0%
392 1
1.0%
393 1
1.0%
403 1
1.0%
409 1
1.0%
ValueCountFrequency (%)
6835 1
1.0%
6818 1
1.0%
6790 1
1.0%
6738 1
1.0%
6652 1
1.0%
6607 1
1.0%
6556 1
1.0%
6530 1
1.0%
6504 1
1.0%
6457 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)
090500032019032200005004.0012.6169.2131.613234.893.672720003652.58.20.86.7680.104190443
190500032019030200005004.0012.5133.5120.013439.93.624520004262.75.82.29.1380.05361391
290500032019031400005002.0012.5141.3131.418433.363.81590003923.39.65.88.0160.07963526
390500032019032100005008.0012.7185.2136.714634.353.72880003712.78.03.06.6240.09680479
4905000320190329000050010.0012.9171.2123.020843.414.794910005622.75.82.07.5720.08250542
590500032019030300005006.0012.6158.1115.014036.183.54570005102.95.22.69.6840.05970380
690500032019031000005004.0012.5129.9128.616634.653.594520006092.96.82.68.0160.05468464
790500032019031300005001.0012.4127.8122.926636.423.906540004352.88.04.812.5760.09556469
890500032019031700005003.0012.4155.1125.716037.623.282660005063.57.83.28.070.07280454
9905000320190320000050010.0012.9190.4131.444033.63.666470004692.98.84.46.1680.106110393
권역본부코드사업장코드수질등록일자관리단코드기온강수량(mm)수온유입수BOD(mgL)유입수COD(mgL)유입수SS(mgL)유입수TN(mgL)유입수TP유입수대장균수(개ml)유량(ms)방류수BOD(mgl)방류수COD(mgL)방류수SS방류수TN(mgL)방류수TP방류수대장균수(개ml)방류량(㎥d)
9090500022019033000005006.0012.6132.6100.013033.513.7868400012241.27.81.88.0280.02691125
9190500022019033100005005.0012.6122.1102.613436.033.7447200012441.37.41.47.7640.03101135
9290500032019030100005004.0012.5140.4123.012842.183.798550004683.05.41.68.670.04980392
9391400012019033100004004.4014.7288.6129.019543.8155.38211300021291.28.22.510.9770.06331700
9491400012019033000004005.2314.8297.6175.87238573.2199.33311300023010.88.3712.38.8480.06301911
9591400012019031500004005.5114.1334.8152.06418064.2127.60913100022921.668.3143.28.8720.07631839
9691400012019032900004009.2015.3325.8173.18427085.17611.16212400023181.348.392.310.310.06431878
9791400012019032800004009.4015.3315.0150.91216572.0567.88320600023061.948.2561.9210.1420.05521900
9891400012019031400004005.0013.9297.6153.98426079.7129.00414850022221.638.7743.88.9210.09811752
9991400012019030700004007.0013.6339.0180.86436096.05611.32514650020431.968.9473.58.9170.13201624