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 (53.1%)Imbalance
관리단코드 is highly imbalanced (53.1%)Imbalance
강수량(mm) is highly imbalanced (87.9%)Imbalance
방류수대장균수(개ml) has 2 (2.0%) zerosZeros

Reproduction

Analysis started2023-12-10 11:23:49.687097
Analysis finished2023-12-10 11:23:49.981278
Duration0.29 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

2023-12-10T20:23:50.159429image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T20:23:50.334200image/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

2023-12-10T20:23:50.515873image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T20:23:50.698497image/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%
Mean2.0190616 × 1011
Minimum2.0190601 × 1011
Maximum2.019063 × 1011
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T20:23:50.899648image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2.0190601 × 1011
5-th percentile2.0190602 × 1011
Q12.0190609 × 1011
median2.0190616 × 1011
Q32.0190624 × 1011
95-th percentile2.0190629 × 1011
Maximum2.019063 × 1011
Range290000
Interquartile range (IQR)152500

Descriptive statistics

Standard deviation88020.831
Coefficient of variation (CV)4.3594921 × 10-7
Kurtosis-1.2258706
Mean2.0190616 × 1011
Median Absolute Deviation (MAD)80000
Skewness-0.048849142
Sum2.0190616 × 1013
Variance7.7476667 × 109
MonotonicityNot monotonic
2023-12-10T20:23:51.134818image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%)
201906250000 4
 
4.0%
201906300000 4
 
4.0%
201906260000 4
 
4.0%
201906280000 4
 
4.0%
201906270000 4
 
4.0%
201906150000 4
 
4.0%
201906290000 4
 
4.0%
201906130000 4
 
4.0%
201906070000 4
 
4.0%
201906140000 4
 
4.0%
Other values (20) 60
60.0%
ValueCountFrequency (%)
201906010000 3
3.0%
201906020000 3
3.0%
201906030000 3
3.0%
201906040000 3
3.0%
201906050000 3
3.0%
201906060000 3
3.0%
201906070000 4
4.0%
201906080000 3
3.0%
201906090000 3
3.0%
201906100000 3
3.0%
ValueCountFrequency (%)
201906300000 4
4.0%
201906290000 4
4.0%
201906280000 4
4.0%
201906270000 4
4.0%
201906260000 4
4.0%
201906250000 4
4.0%
201906240000 3
3.0%
201906230000 3
3.0%
201906220000 3
3.0%
201906210000 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

2023-12-10T20:23:51.374575image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T20:23:51.543762image/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%
Mean23.329
Minimum18.7
Maximum28.1
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T20:23:51.775652image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum18.7
5-th percentile18.9
Q122.2
median23.85
Q324.5
95-th percentile26.6
Maximum28.1
Range9.4
Interquartile range (IQR)2.3

Descriptive statistics

Standard deviation2.2045543
Coefficient of variation (CV)0.094498448
Kurtosis-0.079656353
Mean23.329
Median Absolute Deviation (MAD)0.95
Skewness-0.46494859
Sum2332.9
Variance4.8600596
MonotonicityNot monotonic
2023-12-10T20:23:52.015874image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%)
24.5 9
 
9.0%
24.1 9
 
9.0%
22.2 6
 
6.0%
21.5 6
 
6.0%
23.0 5
 
5.0%
23.1 4
 
4.0%
26.0 3
 
3.0%
24.9 3
 
3.0%
18.9 3
 
3.0%
18.7 3
 
3.0%
Other values (20) 49
49.0%
ValueCountFrequency (%)
18.7 3
3.0%
18.9 3
3.0%
19.5 3
3.0%
19.6 3
3.0%
19.9 3
3.0%
20.0 1
 
1.0%
21.5 6
6.0%
21.9 1
 
1.0%
22.2 6
6.0%
23.0 5
5.0%
ValueCountFrequency (%)
28.1 3
 
3.0%
26.6 3
 
3.0%
26.0 3
 
3.0%
25.6 1
 
1.0%
25.5 2
 
2.0%
25.4 3
 
3.0%
25.1 3
 
3.0%
24.9 3
 
3.0%
24.7 1
 
1.0%
24.5 9
9.0%

강수량(mm)
Categorical

IMBALANCE 

Distinct4
Distinct (%)4.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
0
97 
11
 
1
33
 
1
1
 
1

Length

Max length2
Median length1
Mean length1.02
Min length1

Unique

Unique3 ?
Unique (%)3.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 97
97.0%
11 1
 
1.0%
33 1
 
1.0%
1 1
 
1.0%

Length

2023-12-10T20:23:52.276553image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T20:23:52.458730image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 97
97.0%
11 1
 
1.0%
33 1
 
1.0%
1 1
 
1.0%

수온
Real number (ℝ)

Distinct46
Distinct (%)46.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean21.129
Minimum16.9
Maximum24.3
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T20:23:52.682577image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum16.9
5-th percentile18.38
Q120.275
median21.4
Q322
95-th percentile23.805
Maximum24.3
Range7.4
Interquartile range (IQR)1.725

Descriptive statistics

Standard deviation1.5367745
Coefficient of variation (CV)0.072732948
Kurtosis-0.0063407774
Mean21.129
Median Absolute Deviation (MAD)1
Skewness-0.29939882
Sum2112.9
Variance2.3616758
MonotonicityNot monotonic
2023-12-10T20:23:53.270710image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=46)
ValueCountFrequency (%)
22.0 9
 
9.0%
21.5 6
 
6.0%
22.6 6
 
6.0%
21.6 5
 
5.0%
20.4 4
 
4.0%
20.3 4
 
4.0%
20.8 4
 
4.0%
21.4 3
 
3.0%
21.0 3
 
3.0%
19.0 3
 
3.0%
Other values (36) 53
53.0%
ValueCountFrequency (%)
16.9 1
 
1.0%
17.8 1
 
1.0%
17.9 1
 
1.0%
18.0 2
2.0%
18.4 2
2.0%
18.8 1
 
1.0%
18.9 1
 
1.0%
19.0 3
3.0%
19.3 1
 
1.0%
19.5 2
2.0%
ValueCountFrequency (%)
24.3 1
 
1.0%
24.1 2
2.0%
24.0 1
 
1.0%
23.9 1
 
1.0%
23.8 1
 
1.0%
23.6 1
 
1.0%
23.5 1
 
1.0%
22.9 1
 
1.0%
22.8 1
 
1.0%
22.7 3
3.0%

유입수BOD(mgL)
Real number (ℝ)

Distinct84
Distinct (%)84.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean152.2275
Minimum90.4
Maximum388
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T20:23:53.494941image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum90.4
5-th percentile95.17
Q1117.175
median137.05
Q3151.725
95-th percentile346.3125
Maximum388
Range297.6
Interquartile range (IQR)34.55

Descriptive statistics

Standard deviation67.30499
Coefficient of variation (CV)0.44213424
Kurtosis5.1290306
Mean152.2275
Median Absolute Deviation (MAD)17.1
Skewness2.3714474
Sum15222.75
Variance4529.9617
MonotonicityNot monotonic
2023-12-10T20:23:53.755100image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
138.9 4
 
4.0%
129.0 3
 
3.0%
144.3 2
 
2.0%
131.7 2
 
2.0%
121.5 2
 
2.0%
99.0 2
 
2.0%
150.0 2
 
2.0%
146.4 2
 
2.0%
126.6 2
 
2.0%
143.4 2
 
2.0%
Other values (74) 77
77.0%
ValueCountFrequency (%)
90.4 1
1.0%
91.4 1
1.0%
92.2 1
1.0%
93.4 1
1.0%
94.6 1
1.0%
95.2 1
1.0%
95.4 1
1.0%
96.8 1
1.0%
98.0 1
1.0%
99.0 2
2.0%
ValueCountFrequency (%)
388.0 1
1.0%
387.0 1
1.0%
383.0 1
1.0%
358.5 1
1.0%
357.0 1
1.0%
345.75 1
1.0%
315.0 1
1.0%
300.0 1
1.0%
285.0 1
1.0%
252.0 1
1.0%

유입수COD(mgL)
Real number (ℝ)

Distinct46
Distinct (%)46.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean107.64412
Minimum72.5
Maximum181.5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T20:23:54.023855image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum72.5
5-th percentile80
Q194.3
median101.25
Q3115.525
95-th percentile158.41705
Maximum181.5
Range109
Interquartile range (IQR)21.225

Descriptive statistics

Standard deviation22.506792
Coefficient of variation (CV)0.2090852
Kurtosis1.9738055
Mean107.64412
Median Absolute Deviation (MAD)11.25
Skewness1.3521462
Sum10764.412
Variance506.55568
MonotonicityNot monotonic
2023-12-10T20:23:54.268452image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=46)
ValueCountFrequency (%)
97.5 8
 
8.0%
95.0 6
 
6.0%
114.3 5
 
5.0%
100.0 5
 
5.0%
120.0 4
 
4.0%
94.3 4
 
4.0%
91.4 4
 
4.0%
92.5 4
 
4.0%
115.0 3
 
3.0%
80.0 3
 
3.0%
Other values (36) 54
54.0%
ValueCountFrequency (%)
72.5 1
 
1.0%
75.0 1
 
1.0%
77.5 1
 
1.0%
77.8 1
 
1.0%
80.0 3
3.0%
82.5 2
2.0%
85.0 1
 
1.0%
85.5 1
 
1.0%
85.7 2
2.0%
87.5 2
2.0%
ValueCountFrequency (%)
181.5 1
1.0%
178.343 1
1.0%
171.988 1
1.0%
164.838 1
1.0%
164.441 1
1.0%
158.1 1
1.0%
155.702 1
1.0%
147.0 1
1.0%
146.7 1
1.0%
141.8 1
1.0%

유입수SS(mgL)
Real number (ℝ)

Distinct55
Distinct (%)55.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean154.09
Minimum70
Maximum386
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T20:23:54.462408image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum70
5-th percentile91.9
Q1120
median144
Q3181.25
95-th percentile241
Maximum386
Range316
Interquartile range (IQR)61.25

Descriptive statistics

Standard deviation51.589306
Coefficient of variation (CV)0.33479983
Kurtosis3.343547
Mean154.09
Median Absolute Deviation (MAD)27
Skewness1.3724655
Sum15409
Variance2661.4565
MonotonicityNot monotonic
2023-12-10T20:23:54.675848image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
130 5
 
5.0%
148 4
 
4.0%
140 4
 
4.0%
144 4
 
4.0%
128 4
 
4.0%
98 3
 
3.0%
108 3
 
3.0%
118 3
 
3.0%
110 3
 
3.0%
120 3
 
3.0%
Other values (45) 64
64.0%
ValueCountFrequency (%)
70 1
 
1.0%
72 1
 
1.0%
74 1
 
1.0%
86 1
 
1.0%
90 1
 
1.0%
92 2
2.0%
98 3
3.0%
100 1
 
1.0%
106 1
 
1.0%
108 3
3.0%
ValueCountFrequency (%)
386 1
1.0%
290 1
1.0%
265 1
1.0%
260 2
2.0%
240 2
2.0%
235 1
1.0%
232 1
1.0%
228 1
1.0%
225 2
2.0%
210 1
1.0%

유입수TN(mgL)
Real number (ℝ)

Distinct85
Distinct (%)85.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean36.9704
Minimum26.01
Maximum82.372
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T20:23:54.915620image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum26.01
5-th percentile27.42
Q129.91
median34.035
Q340.0575
95-th percentile67.03515
Maximum82.372
Range56.362
Interquartile range (IQR)10.1475

Descriptive statistics

Standard deviation10.794474
Coefficient of variation (CV)0.29197611
Kurtosis5.5412327
Mean36.9704
Median Absolute Deviation (MAD)4.185
Skewness2.2672065
Sum3697.04
Variance116.52066
MonotonicityNot monotonic
2023-12-10T20:23:55.181528image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
30.33 3
 
3.0%
35.88 3
 
3.0%
29.82 3
 
3.0%
32.64 2
 
2.0%
28.92 2
 
2.0%
40.08 2
 
2.0%
30.36 2
 
2.0%
29.91 2
 
2.0%
43.23 2
 
2.0%
27.42 2
 
2.0%
Other values (75) 77
77.0%
ValueCountFrequency (%)
26.01 1
1.0%
26.46 1
1.0%
26.97 1
1.0%
27.39 1
1.0%
27.42 2
2.0%
27.45 1
1.0%
27.81 1
1.0%
28.41 1
1.0%
28.77 1
1.0%
28.92 2
2.0%
ValueCountFrequency (%)
82.372 1
1.0%
75.48 1
1.0%
70.196 1
1.0%
68.724 1
1.0%
68.482 1
1.0%
66.959 1
1.0%
57.286 1
1.0%
52.442 1
1.0%
48.48 1
1.0%
47.19 1
1.0%

유입수TP
Real number (ℝ)

Distinct74
Distinct (%)74.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.13164
Minimum2.922
Maximum11.116
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T20:23:55.446852image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2.922
5-th percentile3.2097
Q13.498
median3.711
Q34.0215
95-th percentile8.46955
Maximum11.116
Range8.194
Interquartile range (IQR)0.5235

Descriptive statistics

Standard deviation1.4508934
Coefficient of variation (CV)0.35116645
Kurtosis9.1840814
Mean4.13164
Median Absolute Deviation (MAD)0.249
Skewness3.0623778
Sum413.164
Variance2.1050916
MonotonicityNot monotonic
2023-12-10T20:23:55.679225image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
3.786 5
 
5.0%
3.528 4
 
4.0%
3.66 3
 
3.0%
3.414 3
 
3.0%
3.558 3
 
3.0%
3.99 2
 
2.0%
3.678 2
 
2.0%
2.994 2
 
2.0%
3.888 2
 
2.0%
3.342 2
 
2.0%
Other values (64) 72
72.0%
ValueCountFrequency (%)
2.922 1
1.0%
2.994 2
2.0%
3.084 1
1.0%
3.204 1
1.0%
3.21 1
1.0%
3.234 1
1.0%
3.24 1
1.0%
3.294 1
1.0%
3.324 2
2.0%
3.342 2
2.0%
ValueCountFrequency (%)
11.116 1
1.0%
9.311 1
1.0%
8.793 1
1.0%
8.707 1
1.0%
8.632 1
1.0%
8.461 1
1.0%
8.037 1
1.0%
6.764 1
1.0%
4.86 1
1.0%
4.796 1
1.0%

유입수대장균수(개ml)
Real number (ℝ)

Distinct30
Distinct (%)30.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean113410
Minimum87000
Maximum281000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T20:23:56.019510image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum87000
5-th percentile89000
Q196000
median99000
Q3110000
95-th percentile191700
Maximum281000
Range194000
Interquartile range (IQR)14000

Descriptive statistics

Standard deviation37569.893
Coefficient of variation (CV)0.33127496
Kurtosis8.2468302
Mean113410
Median Absolute Deviation (MAD)6000
Skewness2.8608726
Sum11341000
Variance1.4114969 × 109
MonotonicityNot monotonic
2023-12-10T20:23:56.281415image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%)
110000 12
 
12.0%
99000 11
 
11.0%
100000 10
 
10.0%
98000 8
 
8.0%
120000 6
 
6.0%
96000 6
 
6.0%
97000 5
 
5.0%
92000 4
 
4.0%
95000 4
 
4.0%
94000 4
 
4.0%
Other values (20) 30
30.0%
ValueCountFrequency (%)
87000 2
 
2.0%
89000 4
4.0%
91000 3
 
3.0%
92000 4
4.0%
93000 3
 
3.0%
94000 4
4.0%
95000 4
4.0%
96000 6
6.0%
97000 5
5.0%
98000 8
8.0%
ValueCountFrequency (%)
281000 1
1.0%
272000 1
1.0%
235000 1
1.0%
232000 1
1.0%
224000 1
1.0%
190000 2
2.0%
183000 1
1.0%
174000 1
1.0%
151000 1
1.0%
148000 1
1.0%

유량(ms)
Real number (ℝ)

Distinct97
Distinct (%)97.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3098.22
Minimum363
Maximum10279
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T20:23:56.562592image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum363
5-th percentile461.5
Q1663
median1240.5
Q37274.5
95-th percentile7955.4
Maximum10279
Range9916
Interquartile range (IQR)6611.5

Descriptive statistics

Standard deviation3098.4452
Coefficient of variation (CV)1.0000727
Kurtosis-1.1301993
Mean3098.22
Median Absolute Deviation (MAD)725
Skewness0.83090083
Sum309822
Variance9600362.7
MonotonicityNot monotonic
2023-12-10T20:23:56.856558image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1184 3
 
3.0%
7497 2
 
2.0%
520 1
 
1.0%
1211 1
 
1.0%
1222 1
 
1.0%
1322 1
 
1.0%
1343 1
 
1.0%
1357 1
 
1.0%
1323 1
 
1.0%
1223 1
 
1.0%
Other values (87) 87
87.0%
ValueCountFrequency (%)
363 1
1.0%
381 1
1.0%
405 1
1.0%
437 1
1.0%
452 1
1.0%
462 1
1.0%
488 1
1.0%
490 1
1.0%
500 1
1.0%
511 1
1.0%
ValueCountFrequency (%)
10279 1
1.0%
8555 1
1.0%
8404 1
1.0%
8292 1
1.0%
8039 1
1.0%
7951 1
1.0%
7796 1
1.0%
7765 1
1.0%
7732 1
1.0%
7723 1
1.0%

방류수BOD(mgl)
Real number (ℝ)

Distinct45
Distinct (%)45.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.6807
Minimum0.63
Maximum6.5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T20:23:57.105469image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0.63
5-th percentile1
Q11.4
median2.45
Q33.75
95-th percentile5.2
Maximum6.5
Range5.87
Interquartile range (IQR)2.35

Descriptive statistics

Standard deviation1.4394171
Coefficient of variation (CV)0.5369557
Kurtosis-0.7452927
Mean2.6807
Median Absolute Deviation (MAD)1.05
Skewness0.58870496
Sum268.07
Variance2.0719217
MonotonicityNot monotonic
2023-12-10T20:23:57.348173image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=45)
ValueCountFrequency (%)
1.4 7
 
7.0%
1.2 6
 
6.0%
1.3 5
 
5.0%
1.1 4
 
4.0%
1.5 4
 
4.0%
4.4 4
 
4.0%
3.3 4
 
4.0%
4.5 3
 
3.0%
1.7 3
 
3.0%
2.7 3
 
3.0%
Other values (35) 57
57.0%
ValueCountFrequency (%)
0.63 1
 
1.0%
0.8 1
 
1.0%
0.87 1
 
1.0%
0.9 1
 
1.0%
1.0 2
 
2.0%
1.01 1
 
1.0%
1.1 4
4.0%
1.2 6
6.0%
1.3 5
5.0%
1.4 7
7.0%
ValueCountFrequency (%)
6.5 1
 
1.0%
5.7 2
2.0%
5.5 1
 
1.0%
5.2 2
2.0%
5.0 1
 
1.0%
4.9 1
 
1.0%
4.8 2
2.0%
4.7 3
3.0%
4.5 3
3.0%
4.4 4
4.0%

방류수COD(mgL)
Real number (ℝ)

Distinct40
Distinct (%)40.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.94193
Minimum4
Maximum12.7
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T20:23:57.588616image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum4
5-th percentile4.79
Q15.95
median7.075
Q311.1
95-th percentile11.7
Maximum12.7
Range8.7
Interquartile range (IQR)5.15

Descriptive statistics

Standard deviation2.5612581
Coefficient of variation (CV)0.32249819
Kurtosis-1.3040445
Mean7.94193
Median Absolute Deviation (MAD)1.7
Skewness0.43465383
Sum794.193
Variance6.5600429
MonotonicityNot monotonic
2023-12-10T20:23:57.820040image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=40)
ValueCountFrequency (%)
11.7 9
 
9.0%
5.2 6
 
6.0%
11.4 6
 
6.0%
11.1 5
 
5.0%
7.2 4
 
4.0%
7.4 4
 
4.0%
7.0 4
 
4.0%
5.4 4
 
4.0%
6.0 4
 
4.0%
6.2 4
 
4.0%
Other values (30) 50
50.0%
ValueCountFrequency (%)
4.0 1
 
1.0%
4.4 2
 
2.0%
4.6 2
 
2.0%
4.8 2
 
2.0%
5.0 3
3.0%
5.2 6
6.0%
5.4 4
4.0%
5.6 3
3.0%
5.8 2
 
2.0%
6.0 4
4.0%
ValueCountFrequency (%)
12.7 1
 
1.0%
12.3 1
 
1.0%
12.0 2
 
2.0%
11.7 9
9.0%
11.4 6
6.0%
11.3 3
 
3.0%
11.1 5
5.0%
11.0 1
 
1.0%
10.8 2
 
2.0%
9.4 1
 
1.0%

방류수SS
Real number (ℝ)

Distinct28
Distinct (%)28.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.2785
Minimum0.2
Maximum9.2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T20:23:58.066585image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0.2
5-th percentile0.4
Q11
median1.325
Q34
95-th percentile5.62
Maximum9.2
Range9
Interquartile range (IQR)3

Descriptive statistics

Standard deviation1.9733868
Coefficient of variation (CV)0.8660903
Kurtosis0.73969593
Mean2.2785
Median Absolute Deviation (MAD)0.525
Skewness1.2307759
Sum227.85
Variance3.8942553
MonotonicityNot monotonic
2023-12-10T20:23:58.266846image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=28)
ValueCountFrequency (%)
1.0 12
 
12.0%
1.2 11
 
11.0%
0.8 8
 
8.0%
1.4 8
 
8.0%
0.4 6
 
6.0%
4.8 6
 
6.0%
5.2 5
 
5.0%
0.2 4
 
4.0%
4.0 4
 
4.0%
2.0 3
 
3.0%
Other values (18) 33
33.0%
ValueCountFrequency (%)
0.2 4
 
4.0%
0.4 6
6.0%
0.6 2
 
2.0%
0.8 8
8.0%
0.85 1
 
1.0%
0.9 3
 
3.0%
1.0 12
12.0%
1.1 1
 
1.0%
1.15 1
 
1.0%
1.2 11
11.0%
ValueCountFrequency (%)
9.2 1
 
1.0%
7.6 1
 
1.0%
7.2 1
 
1.0%
6.0 2
 
2.0%
5.6 3
3.0%
5.2 5
5.0%
4.8 6
6.0%
4.4 3
3.0%
4.0 4
4.0%
3.6 1
 
1.0%

방류수TN(mgL)
Real number (ℝ)

Distinct99
Distinct (%)99.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean10.0801
Minimum0.996
Maximum19.524
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T20:23:58.474027image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0.996
5-th percentile3.2313
Q16.99075
median9.894
Q312.414
95-th percentile17.5212
Maximum19.524
Range18.528
Interquartile range (IQR)5.42325

Descriptive statistics

Standard deviation4.3627961
Coefficient of variation (CV)0.43281278
Kurtosis-0.51025131
Mean10.0801
Median Absolute Deviation (MAD)2.8435
Skewness0.30138594
Sum1008.01
Variance19.03399
MonotonicityNot monotonic
2023-12-10T20:23:58.728558image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
11.988 2
 
2.0%
10.332 1
 
1.0%
13.596 1
 
1.0%
12.396 1
 
1.0%
13.368 1
 
1.0%
12.3 1
 
1.0%
12.264 1
 
1.0%
13.056 1
 
1.0%
8.808 1
 
1.0%
10.224 1
 
1.0%
Other values (89) 89
89.0%
ValueCountFrequency (%)
0.996 1
1.0%
2.796 1
1.0%
2.94 1
1.0%
3.024 1
1.0%
3.066 1
1.0%
3.24 1
1.0%
3.324 1
1.0%
3.528 1
1.0%
4.506 1
1.0%
4.614 1
1.0%
ValueCountFrequency (%)
19.524 1
1.0%
19.152 1
1.0%
19.092 1
1.0%
19.068 1
1.0%
18.684 1
1.0%
17.46 1
1.0%
17.424 1
1.0%
17.292 1
1.0%
17.112 1
1.0%
16.824 1
1.0%

방류수TP
Real number (ℝ)

Distinct67
Distinct (%)67.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.09848
Minimum0.026
Maximum0.392
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T20:23:59.054810image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0.026
5-th percentile0.03195
Q10.066
median0.079
Q30.10825
95-th percentile0.222
Maximum0.392
Range0.366
Interquartile range (IQR)0.04225

Descriptive statistics

Standard deviation0.065240577
Coefficient of variation (CV)0.6624754
Kurtosis7.177611
Mean0.09848
Median Absolute Deviation (MAD)0.0205
Skewness2.3832713
Sum9.848
Variance0.0042563329
MonotonicityNot monotonic
2023-12-10T20:23:59.367022image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.084 4
 
4.0%
0.079 4
 
4.0%
0.074 4
 
4.0%
0.07 3
 
3.0%
0.072 3
 
3.0%
0.037 3
 
3.0%
0.094 2
 
2.0%
0.043 2
 
2.0%
0.101 2
 
2.0%
0.119 2
 
2.0%
Other values (57) 71
71.0%
ValueCountFrequency (%)
0.026 1
 
1.0%
0.028 1
 
1.0%
0.029 1
 
1.0%
0.03 1
 
1.0%
0.031 1
 
1.0%
0.032 1
 
1.0%
0.036 1
 
1.0%
0.037 3
3.0%
0.04 1
 
1.0%
0.041 1
 
1.0%
ValueCountFrequency (%)
0.392 1
1.0%
0.382 1
1.0%
0.296 1
1.0%
0.259 1
1.0%
0.222 2
2.0%
0.212 1
1.0%
0.208 1
1.0%
0.188 1
1.0%
0.181 1
1.0%
0.174 1
1.0%

방류수대장균수(개ml)
Real number (ℝ)

ZEROS 

Distinct52
Distinct (%)52.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean92.08
Minimum0
Maximum210
Zeros2
Zeros (%)2.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T20:23:59.630623image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile10
Q144
median88
Q3140
95-th percentile180
Maximum210
Range210
Interquartile range (IQR)96

Descriptive statistics

Standard deviation54.752645
Coefficient of variation (CV)0.59462038
Kurtosis-1.0598352
Mean92.08
Median Absolute Deviation (MAD)46.5
Skewness0.26241661
Sum9208
Variance2997.8521
MonotonicityNot monotonic
2023-12-10T20:23:59.884008image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
170 5
 
5.0%
140 5
 
5.0%
130 5
 
5.0%
110 4
 
4.0%
180 4
 
4.0%
150 4
 
4.0%
160 4
 
4.0%
33 3
 
3.0%
190 3
 
3.0%
41 3
 
3.0%
Other values (42) 60
60.0%
ValueCountFrequency (%)
0 2
2.0%
1 1
1.0%
5 1
1.0%
10 2
2.0%
26 1
1.0%
27 1
1.0%
28 2
2.0%
29 1
1.0%
31 1
1.0%
32 1
1.0%
ValueCountFrequency (%)
210 1
 
1.0%
190 3
3.0%
180 4
4.0%
170 5
5.0%
165 1
 
1.0%
160 4
4.0%
150 4
4.0%
140 5
5.0%
130 5
5.0%
120 2
 
2.0%

방류량(㎥d)
Real number (ℝ)

Distinct89
Distinct (%)89.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2736.68
Minimum250
Maximum7434
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T20:24:00.554273image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum250
5-th percentile411.65
Q1524.75
median1116.5
Q36388.25
95-th percentile7298.45
Maximum7434
Range7184
Interquartile range (IQR)5863.5

Descriptive statistics

Standard deviation2779.4687
Coefficient of variation (CV)1.0156352
Kurtosis-1.1548456
Mean2736.68
Median Absolute Deviation (MAD)681
Skewness0.8411057
Sum273668
Variance7725446.1
MonotonicityNot monotonic
2023-12-10T20:24:00.791690image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
464 2
 
2.0%
2128 2
 
2.0%
479 2
 
2.0%
1096 2
 
2.0%
1062 2
 
2.0%
7252 2
 
2.0%
550 2
 
2.0%
2046 2
 
2.0%
7434 2
 
2.0%
491 2
 
2.0%
Other values (79) 80
80.0%
ValueCountFrequency (%)
250 1
1.0%
313 1
1.0%
333 1
1.0%
370 1
1.0%
405 1
1.0%
412 1
1.0%
425 2
2.0%
430 1
1.0%
433 1
1.0%
438 1
1.0%
ValueCountFrequency (%)
7434 2
2.0%
7366 1
1.0%
7344 1
1.0%
7326 1
1.0%
7297 1
1.0%
7292 1
1.0%
7281 1
1.0%
7261 1
1.0%
7252 2
2.0%
7247 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)
0905000320190625000050026.0022.5129.9115.014833.513.99990005203.36.01.23.0240.07710464
1905000320190602000050023.6019.7129.0108.615430.333.786970004522.55.41.08.7960.092160479
2905000320190617000050023.1022.0155.1111.416833.574.512950005693.35.00.45.4420.259170491
3905000320190624000050025.1022.3125.7112.519030.363.961000005582.76.22.03.240.0730475
4905000320190609000050024.5021.5137.1111.411629.913.4621300004373.04.41.63.5280.126190425
5905000320190603000050023.8019.9135.9146.738630.993.3241200004052.15.20.27.1760.126180370
6905000320190613000050024.4021.5184.5114.322827.393.4141400006731.75.20.25.1120.208170438
7905000320190616000050022.2022.0163.2114.319035.6463.528980005603.14.61.66.0180.122190433
8905000320190620000050023.0018.4133.2128.617834.083.954950003813.66.02.22.7960.037150250
9905000320190623000050024.2022.6129.0117.512836.093.4741900004883.16.42.211.1840.108180412
권역본부코드사업장코드수질등록일자관리단코드기온강수량(mm)수온유입수BOD(mgL)유입수COD(mgL)유입수SS(mgL)유입수TN(mgL)유입수TP유입수대장균수(개ml)유량(ms)방류수BOD(mgl)방류수COD(mgL)방류수SS방류수TN(mgL)방류수TP방류수대장균수(개ml)방류량(㎥d)
90914000120190630000040023.9024.0315.0147.022544.5484.57517400024130.87.40.95.40.076611904
91914000120190615000040021.9022.6383.0155.70229052.4426.76413600024780.876.8521.06.5960.062282046
92914000120190629000040023.11124.1357.0164.83823575.4811.11627200025810.636.8720.855.6670.07322128
93914000120190628000040024.7024.3300.0158.126568.4828.63228100025131.47.20.95.030.0741031991
94914000120190614000040023.0022.7388.0181.522582.3729.31111700020501.56.90.87.0450.066282046
95914000120190607000040020.03322.0252.0114.418533.7754.79622400032191.77.11.18.2720.075352791
96914000120190627000040025.5024.1387.0171.98824066.9598.70714800024371.66.8721.156.1630.088891963
97914000120190626000040025.5123.9358.5178.34326070.1968.46118300025691.016.7920.95.1560.0741652128
98914000120190613000040023.0022.6345.75141.824068.7248.79323500025481.47.051.256.7180.072412149
99914000120190625000040025.6023.8285.0164.44126057.2868.03715100024711.966.4551.05.0610.076642011