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

강수량(mm) has constant value ""Constant
유입수TN(mgL) has unique valuesUnique
방류수대장균수(개ml) has 20 (20.0%) zerosZeros

Reproduction

Analysis started2023-12-10 11:24:47.200985
Analysis finished2023-12-10 11:24:47.438028
Duration0.24 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

권역본부코드
Categorical

Distinct2
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
90
69 
91
31 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row91
2nd row91
3rd row91
4th row91
5th row91

Common Values

ValueCountFrequency (%)
90 69
69.0%
91 31
31.0%

Length

2023-12-10T20:24:47.519602image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T20:24:47.645060image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
90 69
69.0%
91 31
31.0%

사업장코드
Categorical

Distinct4
Distinct (%)4.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
40001
31 
50001
31 
50002
31 
50003
7 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row40001
2nd row40001
3rd row40001
4th row40001
5th row40001

Common Values

ValueCountFrequency (%)
40001 31
31.0%
50001 31
31.0%
50002 31
31.0%
50003 7
 
7.0%

Length

2023-12-10T20:24:47.788467image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T20:24:47.936317image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
40001 31
31.0%
50001 31
31.0%
50002 31
31.0%
50003 7
 
7.0%

수질등록일자
Real number (ℝ)

Distinct32
Distinct (%)32.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.0190115 × 1011
Minimum2.0190101 × 1011
Maximum2.0190131 × 1011
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T20:24:48.093971image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2.0190101 × 1011
5-th percentile2.0190102 × 1011
Q12.0190107 × 1011
median2.0190115 × 1011
Q32.0190123 × 1011
95-th percentile2.019013 × 1011
Maximum2.0190131 × 1011
Range300000
Interquartile range (IQR)160000

Descriptive statistics

Standard deviation92138.553
Coefficient of variation (CV)4.5635477 × 10-7
Kurtosis-1.2599367
Mean2.0190115 × 1011
Median Absolute Deviation (MAD)80000
Skewness0.10695502
Sum2.0190115 × 1013
Variance8.489513 × 109
MonotonicityNot monotonic
2023-12-10T20:24:48.292142image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=32)
ValueCountFrequency (%)
201901010000 4
 
4.0%
201901030000 4
 
4.0%
201901040000 4
 
4.0%
201901050000 4
 
4.0%
201901060000 4
 
4.0%
201901070000 4
 
4.0%
201901020000 4
 
4.0%
201901260000 3
 
3.0%
201901220000 3
 
3.0%
201901230000 3
 
3.0%
Other values (22) 63
63.0%
ValueCountFrequency (%)
201901010000 4
4.0%
201901020000 4
4.0%
201901030000 4
4.0%
201901040000 4
4.0%
201901050000 4
4.0%
201901060000 4
4.0%
201901070000 4
4.0%
201901080000 3
3.0%
201901090000 3
3.0%
201901100000 3
3.0%
ValueCountFrequency (%)
201901310000 3
3.0%
201901300000 3
3.0%
201901290000 3
3.0%
201901280000 3
3.0%
201901270000 3
3.0%
201901260000 3
3.0%
201901250000 3
3.0%
201901240000 3
3.0%
201901230000 3
3.0%
201901220000 3
3.0%

관리단코드
Categorical

Distinct2
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
500
69 
400
31 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row400
2nd row400
3rd row400
4th row400
5th row400

Common Values

ValueCountFrequency (%)
500 69
69.0%
400 31
31.0%

Length

2023-12-10T20:24:48.484768image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T20:24:48.629419image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
500 69
69.0%
400 31
31.0%

기온
Real number (ℝ)

Distinct35
Distinct (%)35.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-3.999
Minimum-12
Maximum3.6
Zeros0
Zeros (%)0.0%
Negative89
Negative (%)89.0%
Memory size1.0 KiB
2023-12-10T20:24:48.766285image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-12
5-th percentile-10
Q1-6
median-4
Q3-2
95-th percentile1.705
Maximum3.6
Range15.6
Interquartile range (IQR)4

Descriptive statistics

Standard deviation3.3133185
Coefficient of variation (CV)-0.82853677
Kurtosis-0.10479003
Mean-3.999
Median Absolute Deviation (MAD)2
Skewness-0.1043843
Sum-399.9
Variance10.97808
MonotonicityNot monotonic
2023-12-10T20:24:48.945767image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=35)
ValueCountFrequency (%)
-4.0 17
17.0%
-6.0 10
 
10.0%
-2.0 9
 
9.0%
-5.0 8
 
8.0%
-8.0 8
 
8.0%
-10.0 6
 
6.0%
-3.0 5
 
5.0%
-7.0 4
 
4.0%
-1.0 2
 
2.0%
-12.0 2
 
2.0%
Other values (25) 29
29.0%
ValueCountFrequency (%)
-12.0 2
 
2.0%
-10.0 6
 
6.0%
-8.0 8
8.0%
-7.0 4
 
4.0%
-6.0 10
10.0%
-5.2 1
 
1.0%
-5.0 8
8.0%
-4.9 1
 
1.0%
-4.7 1
 
1.0%
-4.0 17
17.0%
ValueCountFrequency (%)
3.6 1
1.0%
2.8 1
1.0%
2.4 1
1.0%
2.0 1
1.0%
1.8 1
1.0%
1.7 1
1.0%
1.4 1
1.0%
1.2 2
2.0%
0.6 1
1.0%
0.1 1
1.0%

강수량(mm)
Categorical

CONSTANT 

Distinct1
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
0
100 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 100
100.0%

Length

2023-12-10T20:24:49.176950image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T20:24:49.294595image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 100
100.0%

수온
Real number (ℝ)

Distinct25
Distinct (%)25.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean10.733
Minimum9
Maximum12.8
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T20:24:49.435183image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum9
5-th percentile9.3
Q110
median10.2
Q312.225
95-th percentile12.8
Maximum12.8
Range3.8
Interquartile range (IQR)2.225

Descriptive statistics

Standard deviation1.2026952
Coefficient of variation (CV)0.11205583
Kurtosis-1.2053738
Mean10.733
Median Absolute Deviation (MAD)0.4
Skewness0.60557438
Sum1073.3
Variance1.4464758
MonotonicityNot monotonic
2023-12-10T20:24:49.688789image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%)
10.2 12
 
12.0%
10.0 11
 
11.0%
12.3 7
 
7.0%
10.3 7
 
7.0%
10.1 6
 
6.0%
12.8 6
 
6.0%
12.5 6
 
6.0%
9.8 4
 
4.0%
12.1 4
 
4.0%
9.3 4
 
4.0%
Other values (15) 33
33.0%
ValueCountFrequency (%)
9.0 2
 
2.0%
9.2 2
 
2.0%
9.3 4
 
4.0%
9.4 4
 
4.0%
9.5 2
 
2.0%
9.6 1
 
1.0%
9.7 2
 
2.0%
9.8 4
 
4.0%
9.9 3
 
3.0%
10.0 11
11.0%
ValueCountFrequency (%)
12.8 6
6.0%
12.6 3
3.0%
12.5 6
6.0%
12.4 3
3.0%
12.3 7
7.0%
12.2 1
 
1.0%
12.1 4
4.0%
12.0 1
 
1.0%
10.7 1
 
1.0%
10.6 2
 
2.0%

유입수BOD(mgL)
Real number (ℝ)

Distinct81
Distinct (%)81.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean156.91
Minimum87.8
Maximum271.8
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T20:24:49.934752image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum87.8
5-th percentile94.8
Q1120.225
median132.3
Q3212.4
95-th percentile262.35
Maximum271.8
Range184
Interquartile range (IQR)92.175

Descriptive statistics

Standard deviation54.938775
Coefficient of variation (CV)0.35012921
Kurtosis-0.67613221
Mean156.91
Median Absolute Deviation (MAD)17.85
Skewness0.89242247
Sum15691
Variance3018.269
MonotonicityNot monotonic
2023-12-10T20:24:50.163323image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
129.0 5
 
5.0%
262.2 3
 
3.0%
130.5 3
 
3.0%
265.2 2
 
2.0%
94.8 2
 
2.0%
120.3 2
 
2.0%
141.3 2
 
2.0%
112.2 2
 
2.0%
135.6 2
 
2.0%
117.9 2
 
2.0%
Other values (71) 75
75.0%
ValueCountFrequency (%)
87.8 1
1.0%
91.4 1
1.0%
92.8 1
1.0%
94.6 1
1.0%
94.8 2
2.0%
95.8 1
1.0%
96.6 1
1.0%
99.4 1
1.0%
101.2 1
1.0%
102.2 1
1.0%
ValueCountFrequency (%)
271.8 1
 
1.0%
269.4 1
 
1.0%
267.6 1
 
1.0%
265.2 2
2.0%
262.2 3
3.0%
256.2 1
 
1.0%
255.6 1
 
1.0%
251.4 1
 
1.0%
243.0 1
 
1.0%
240.6 1
 
1.0%

유입수COD(mgL)
Real number (ℝ)

Distinct71
Distinct (%)71.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean110.66912
Minimum78
Maximum167.886
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T20:24:50.414408image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum78
5-th percentile87.9425
Q197.48325
median110
Q3120.025
95-th percentile139.84515
Maximum167.886
Range89.886
Interquartile range (IQR)22.54175

Descriptive statistics

Standard deviation17.556104
Coefficient of variation (CV)0.15863598
Kurtosis0.3638395
Mean110.66912
Median Absolute Deviation (MAD)12.15
Skewness0.64511605
Sum11066.912
Variance308.2168
MonotonicityNot monotonic
2023-12-10T20:24:50.608376image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
110.0 6
 
6.0%
90.0 5
 
5.0%
120.0 3
 
3.0%
105.0 3
 
3.0%
117.5 3
 
3.0%
97.9 3
 
3.0%
88.0 3
 
3.0%
105.1 2
 
2.0%
120.1 2
 
2.0%
117.6 2
 
2.0%
Other values (61) 68
68.0%
ValueCountFrequency (%)
78.0 1
 
1.0%
84.1 1
 
1.0%
86.0 1
 
1.0%
86.1 1
 
1.0%
86.85 1
 
1.0%
88.0 3
3.0%
88.9 1
 
1.0%
90.0 5
5.0%
90.1 1
 
1.0%
90.6 1
 
1.0%
ValueCountFrequency (%)
167.886 1
1.0%
161.5 1
1.0%
143.689 1
1.0%
140.194 1
1.0%
140.0 1
1.0%
139.837 1
1.0%
139.024 1
1.0%
138.641 1
1.0%
138.618 1
1.0%
134.4 1
1.0%

유입수SS(mgL)
Real number (ℝ)

Distinct56
Distinct (%)56.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean128.893
Minimum74
Maximum295
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T20:24:50.792393image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum74
5-th percentile82
Q198
median112
Q3145.75
95-th percentile231
Maximum295
Range221
Interquartile range (IQR)47.75

Descriptive statistics

Standard deviation46.841916
Coefficient of variation (CV)0.36341707
Kurtosis2.0963041
Mean128.893
Median Absolute Deviation (MAD)19
Skewness1.5383076
Sum12889.3
Variance2194.1651
MonotonicityNot monotonic
2023-12-10T20:24:51.011626image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
100.0 5
 
5.0%
108.0 4
 
4.0%
98.0 4
 
4.0%
106.0 3
 
3.0%
82.0 3
 
3.0%
114.0 3
 
3.0%
195.0 3
 
3.0%
118.0 3
 
3.0%
170.0 3
 
3.0%
86.0 3
 
3.0%
Other values (46) 66
66.0%
ValueCountFrequency (%)
74.0 2
2.0%
80.0 2
2.0%
82.0 3
3.0%
83.3 1
 
1.0%
84.0 1
 
1.0%
86.0 3
3.0%
88.0 2
2.0%
90.0 1
 
1.0%
92.0 2
2.0%
94.0 2
2.0%
ValueCountFrequency (%)
295.0 1
 
1.0%
270.0 1
 
1.0%
260.0 1
 
1.0%
256.0 1
 
1.0%
250.0 1
 
1.0%
230.0 1
 
1.0%
215.0 1
 
1.0%
200.0 1
 
1.0%
195.0 3
3.0%
190.0 2
2.0%

유입수TN(mgL)
Real number (ℝ)

UNIQUE 

Distinct100
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean47.59733
Minimum24.27
Maximum87.312
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T20:24:51.203458image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum24.27
5-th percentile26.4525
Q131.6125
median49.005
Q358.6515
95-th percentile78.3904
Maximum87.312
Range63.042
Interquartile range (IQR)27.039

Descriptive statistics

Standard deviation16.921814
Coefficient of variation (CV)0.35552024
Kurtosis-0.70280097
Mean47.59733
Median Absolute Deviation (MAD)14.7435
Skewness0.47082928
Sum4759.733
Variance286.34779
MonotonicityNot monotonic
2023-12-10T20:24:51.419783image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
78.358 1
 
1.0%
26.46 1
 
1.0%
27.45 1
 
1.0%
30.99 1
 
1.0%
41.85 1
 
1.0%
29.94 1
 
1.0%
32.58 1
 
1.0%
26.64 1
 
1.0%
27.782 1
 
1.0%
25.98 1
 
1.0%
Other values (90) 90
90.0%
ValueCountFrequency (%)
24.27 1
1.0%
24.3 1
1.0%
25.35 1
1.0%
25.98 1
1.0%
26.31 1
1.0%
26.46 1
1.0%
26.61 1
1.0%
26.64 1
1.0%
26.88 1
1.0%
26.97 1
1.0%
ValueCountFrequency (%)
87.312 1
1.0%
86.45 1
1.0%
83.278 1
1.0%
80.323 1
1.0%
79.006 1
1.0%
78.358 1
1.0%
76.051 1
1.0%
74.482 1
1.0%
74.212 1
1.0%
73.908 1
1.0%

유입수TP
Real number (ℝ)

Distinct94
Distinct (%)94.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.21946
Minimum2.394
Maximum8.891
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T20:24:51.932411image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2.394
5-th percentile2.5047
Q12.925
median3.333
Q35.1755
95-th percentile8.071
Maximum8.891
Range6.497
Interquartile range (IQR)2.2505

Descriptive statistics

Standard deviation1.849501
Coefficient of variation (CV)0.43832647
Kurtosis-0.015716437
Mean4.21946
Median Absolute Deviation (MAD)0.645
Skewness1.1561245
Sum421.946
Variance3.4206539
MonotonicityNot monotonic
2023-12-10T20:24:52.141204image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2.862 2
 
2.0%
3.03 2
 
2.0%
3.306 2
 
2.0%
3.444 2
 
2.0%
2.682 2
 
2.0%
2.994 2
 
2.0%
2.43 1
 
1.0%
2.688 1
 
1.0%
2.55 1
 
1.0%
2.7 1
 
1.0%
Other values (84) 84
84.0%
ValueCountFrequency (%)
2.394 1
1.0%
2.406 1
1.0%
2.424 1
1.0%
2.43 1
1.0%
2.442 1
1.0%
2.508 1
1.0%
2.514 1
1.0%
2.532 1
1.0%
2.55 1
1.0%
2.556 1
1.0%
ValueCountFrequency (%)
8.891 1
1.0%
8.598 1
1.0%
8.37 1
1.0%
8.263 1
1.0%
8.223 1
1.0%
8.063 1
1.0%
7.875 1
1.0%
7.858 1
1.0%
7.774 1
1.0%
7.636 1
1.0%

유입수대장균수(개ml)
Real number (ℝ)

Distinct48
Distinct (%)48.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean68245
Minimum41000
Maximum206000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T20:24:52.408753image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum41000
5-th percentile44950
Q149000
median55500
Q388250
95-th percentile109625
Maximum206000
Range165000
Interquartile range (IQR)39250

Descriptive statistics

Standard deviation29747.124
Coefficient of variation (CV)0.43588723
Kurtosis6.4485975
Mean68245
Median Absolute Deviation (MAD)7500
Skewness2.1754134
Sum6824500
Variance8.8489139 × 108
MonotonicityNot monotonic
2023-12-10T20:24:52.668473image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=48)
ValueCountFrequency (%)
53000 7
 
7.0%
49000 7
 
7.0%
48000 6
 
6.0%
55000 5
 
5.0%
57000 5
 
5.0%
51000 5
 
5.0%
45000 5
 
5.0%
60000 5
 
5.0%
50000 5
 
5.0%
58000 4
 
4.0%
Other values (38) 46
46.0%
ValueCountFrequency (%)
41000 1
 
1.0%
43000 2
 
2.0%
44000 2
 
2.0%
45000 5
5.0%
46000 3
3.0%
47000 1
 
1.0%
48000 6
6.0%
49000 7
7.0%
50000 5
5.0%
51000 5
5.0%
ValueCountFrequency (%)
206000 1
 
1.0%
198000 1
 
1.0%
116000 1
 
1.0%
115500 1
 
1.0%
112000 1
 
1.0%
109500 1
 
1.0%
108000 1
 
1.0%
107000 1
 
1.0%
106500 1
 
1.0%
105500 3
3.0%

유량(ms)
Real number (ℝ)

Distinct95
Distinct (%)95.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3027.21
Minimum419
Maximum7408
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T20:24:52.859262image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum419
5-th percentile530
Q11214
median2156.5
Q35944.25
95-th percentile6710.25
Maximum7408
Range6989
Interquartile range (IQR)4730.25

Descriptive statistics

Standard deviation2311.1602
Coefficient of variation (CV)0.76346213
Kurtosis-1.236228
Mean3027.21
Median Absolute Deviation (MAD)1061
Skewness0.70668319
Sum302721
Variance5341461.4
MonotonicityNot monotonic
2023-12-10T20:24:53.066983image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
6525 3
 
3.0%
2227 2
 
2.0%
1340 2
 
2.0%
1214 2
 
2.0%
2144 1
 
1.0%
800 1
 
1.0%
927 1
 
1.0%
961 1
 
1.0%
1293 1
 
1.0%
744 1
 
1.0%
Other values (85) 85
85.0%
ValueCountFrequency (%)
419 1
1.0%
430 1
1.0%
443 1
1.0%
454 1
1.0%
511 1
1.0%
531 1
1.0%
535 1
1.0%
744 1
1.0%
800 1
1.0%
851 1
1.0%
ValueCountFrequency (%)
7408 1
1.0%
7065 1
1.0%
6873 1
1.0%
6755 1
1.0%
6734 1
1.0%
6709 1
1.0%
6682 1
1.0%
6650 1
1.0%
6641 1
1.0%
6630 1
1.0%

방류수BOD(mgl)
Real number (ℝ)

Distinct54
Distinct (%)54.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.3779
Minimum0.25
Maximum6.8
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T20:24:53.301281image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0.25
5-th percentile0.45
Q10.6275
median1.2
Q34.6
95-th percentile6.3
Maximum6.8
Range6.55
Interquartile range (IQR)3.9725

Descriptive statistics

Standard deviation2.0834055
Coefficient of variation (CV)0.87615353
Kurtosis-1.0137537
Mean2.3779
Median Absolute Deviation (MAD)0.695
Skewness0.78586677
Sum237.79
Variance4.3405784
MonotonicityNot monotonic
2023-12-10T20:24:53.518108image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1.2 10
 
10.0%
1.3 6
 
6.0%
1.1 6
 
6.0%
1.4 5
 
5.0%
4.9 4
 
4.0%
0.45 3
 
3.0%
1.0 3
 
3.0%
0.55 3
 
3.0%
5.1 3
 
3.0%
4.5 2
 
2.0%
Other values (44) 55
55.0%
ValueCountFrequency (%)
0.25 1
 
1.0%
0.4 1
 
1.0%
0.41 1
 
1.0%
0.45 3
3.0%
0.46 1
 
1.0%
0.47 2
2.0%
0.49 1
 
1.0%
0.5 2
2.0%
0.51 1
 
1.0%
0.53 1
 
1.0%
ValueCountFrequency (%)
6.8 1
1.0%
6.6 1
1.0%
6.5 2
2.0%
6.3 2
2.0%
6.0 2
2.0%
5.9 1
1.0%
5.7 1
1.0%
5.5 1
1.0%
5.3 1
1.0%
5.2 2
2.0%

방류수COD(mgL)
Real number (ℝ)

Distinct59
Distinct (%)59.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8.55626
Minimum5.4
Maximum14.7
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T20:24:53.723976image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum5.4
5-th percentile6
Q16.5795
median7
Q311.775
95-th percentile13.505
Maximum14.7
Range9.3
Interquartile range (IQR)5.1955

Descriptive statistics

Standard deviation2.7720578
Coefficient of variation (CV)0.32398008
Kurtosis-0.93997648
Mean8.55626
Median Absolute Deviation (MAD)0.633
Skewness0.88643139
Sum855.626
Variance7.6843046
MonotonicityNot monotonic
2023-12-10T20:24:53.932350image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
6.8 8
 
8.0%
12.3 5
 
5.0%
6.4 5
 
5.0%
7.0 5
 
5.0%
7.4 4
 
4.0%
7.2 4
 
4.0%
12.9 3
 
3.0%
12.0 3
 
3.0%
7.8 3
 
3.0%
6.0 3
 
3.0%
Other values (49) 57
57.0%
ValueCountFrequency (%)
5.4 1
 
1.0%
5.8 1
 
1.0%
5.982 1
 
1.0%
6.0 3
3.0%
6.097 1
 
1.0%
6.11 1
 
1.0%
6.147 1
 
1.0%
6.155 1
 
1.0%
6.24 1
 
1.0%
6.341 1
 
1.0%
ValueCountFrequency (%)
14.7 1
 
1.0%
14.0 1
 
1.0%
13.9 2
2.0%
13.6 1
 
1.0%
13.5 2
2.0%
13.2 1
 
1.0%
13.1 1
 
1.0%
12.9 3
3.0%
12.8 1
 
1.0%
12.7 1
 
1.0%

방류수SS
Real number (ℝ)

Distinct29
Distinct (%)29.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.869
Minimum0.3
Maximum9.2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T20:24:54.139799image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0.3
5-th percentile0.8
Q11.2
median1.6
Q32.325
95-th percentile3.715
Maximum9.2
Range8.9
Interquartile range (IQR)1.125

Descriptive statistics

Standard deviation1.1175094
Coefficient of variation (CV)0.59791836
Kurtosis17.914608
Mean1.869
Median Absolute Deviation (MAD)0.4
Skewness3.255656
Sum186.9
Variance1.2488273
MonotonicityNot monotonic
2023-12-10T20:24:54.349772image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=29)
ValueCountFrequency (%)
1.2 14
14.0%
1.0 10
 
10.0%
1.8 9
 
9.0%
1.6 9
 
9.0%
1.4 7
 
7.0%
2.0 6
 
6.0%
0.8 6
 
6.0%
2.4 5
 
5.0%
2.8 4
 
4.0%
1.7 3
 
3.0%
Other values (19) 27
27.0%
ValueCountFrequency (%)
0.3 1
 
1.0%
0.8 6
6.0%
0.9 1
 
1.0%
1.0 10
10.0%
1.1 2
 
2.0%
1.2 14
14.0%
1.3 2
 
2.0%
1.4 7
7.0%
1.5 1
 
1.0%
1.6 9
9.0%
ValueCountFrequency (%)
9.2 1
 
1.0%
4.4 1
 
1.0%
4.0 3
3.0%
3.7 1
 
1.0%
3.6 1
 
1.0%
3.2 2
2.0%
3.1 1
 
1.0%
3.0 2
2.0%
2.8 4
4.0%
2.7 2
2.0%

방류수TN(mgL)
Real number (ℝ)

Distinct97
Distinct (%)97.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean12.23798
Minimum4.458
Maximum23.22
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T20:24:54.514341image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum4.458
5-th percentile6.6501
Q18.1825
median9.3225
Q318.174
95-th percentile22.0962
Maximum23.22
Range18.762
Interquartile range (IQR)9.9915

Descriptive statistics

Standard deviation5.5714927
Coefficient of variation (CV)0.45526244
Kurtosis-1.1584462
Mean12.23798
Median Absolute Deviation (MAD)1.888
Skewness0.66954193
Sum1223.798
Variance31.041531
MonotonicityNot monotonic
2023-12-10T20:24:54.704928image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
9.354 2
 
2.0%
8.196 2
 
2.0%
19.032 2
 
2.0%
13.129 1
 
1.0%
8.352 1
 
1.0%
9.528 1
 
1.0%
8.55 1
 
1.0%
9.558 1
 
1.0%
6.702 1
 
1.0%
7.398 1
 
1.0%
Other values (87) 87
87.0%
ValueCountFrequency (%)
4.458 1
1.0%
4.746 1
1.0%
4.788 1
1.0%
5.286 1
1.0%
5.664 1
1.0%
6.702 1
1.0%
6.942 1
1.0%
7.269 1
1.0%
7.277 1
1.0%
7.303 1
1.0%
ValueCountFrequency (%)
23.22 1
1.0%
22.464 1
1.0%
22.296 1
1.0%
22.26 1
1.0%
22.176 1
1.0%
22.092 1
1.0%
21.772 1
1.0%
21.456 1
1.0%
21.348 1
1.0%
21.108 1
1.0%

방류수TP
Real number (ℝ)

Distinct53
Distinct (%)53.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.06189
Minimum0.014
Maximum0.274
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T20:24:54.910666image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0.014
5-th percentile0.02495
Q10.036
median0.047
Q30.0885
95-th percentile0.109
Maximum0.274
Range0.26
Interquartile range (IQR)0.0525

Descriptive statistics

Standard deviation0.040126038
Coefficient of variation (CV)0.64834444
Kurtosis9.2244588
Mean0.06189
Median Absolute Deviation (MAD)0.0175
Skewness2.4266883
Sum6.189
Variance0.0016100989
MonotonicityNot monotonic
2023-12-10T20:24:55.110883image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.036 7
 
7.0%
0.04 5
 
5.0%
0.09 5
 
5.0%
0.037 4
 
4.0%
0.028 4
 
4.0%
0.035 4
 
4.0%
0.049 3
 
3.0%
0.047 3
 
3.0%
0.041 3
 
3.0%
0.034 3
 
3.0%
Other values (43) 59
59.0%
ValueCountFrequency (%)
0.014 1
 
1.0%
0.02 1
 
1.0%
0.024 3
3.0%
0.025 1
 
1.0%
0.026 2
2.0%
0.028 4
4.0%
0.029 1
 
1.0%
0.03 2
2.0%
0.031 1
 
1.0%
0.034 3
3.0%
ValueCountFrequency (%)
0.274 1
1.0%
0.226 1
1.0%
0.17 1
1.0%
0.114 1
1.0%
0.109 2
2.0%
0.106 1
1.0%
0.105 1
1.0%
0.102 1
1.0%
0.099 2
2.0%
0.098 2
2.0%

방류수대장균수(개ml)
Real number (ℝ)

ZEROS 

Distinct39
Distinct (%)39.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean18.15
Minimum0
Maximum75
Zeros20
Zeros (%)20.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T20:24:55.281937image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median15
Q328.25
95-th percentile55.15
Maximum75
Range75
Interquartile range (IQR)27.25

Descriptive statistics

Standard deviation18.108748
Coefficient of variation (CV)0.99772718
Kurtosis0.85206118
Mean18.15
Median Absolute Deviation (MAD)14
Skewness1.1105108
Sum1815
Variance327.92677
MonotonicityNot monotonic
2023-12-10T20:24:55.467961image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=39)
ValueCountFrequency (%)
0 20
20.0%
1 10
 
10.0%
10 5
 
5.0%
15 4
 
4.0%
21 4
 
4.0%
25 4
 
4.0%
30 3
 
3.0%
16 3
 
3.0%
20 3
 
3.0%
13 3
 
3.0%
Other values (29) 41
41.0%
ValueCountFrequency (%)
0 20
20.0%
1 10
10.0%
3 1
 
1.0%
5 2
 
2.0%
7 1
 
1.0%
8 2
 
2.0%
10 5
 
5.0%
11 2
 
2.0%
12 1
 
1.0%
13 3
 
3.0%
ValueCountFrequency (%)
75 1
1.0%
68 2
2.0%
65 1
1.0%
58 1
1.0%
55 1
1.0%
50 1
1.0%
48 1
1.0%
45 1
1.0%
44 1
1.0%
41 1
1.0%

방류량(㎥d)
Real number (ℝ)

Distinct94
Distinct (%)94.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2618.56
Minimum482
Maximum6259
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T20:24:55.622066image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum482
5-th percentile530.1
Q11093.75
median1780.5
Q35266
95-th percentile5812.25
Maximum6259
Range5777
Interquartile range (IQR)4172.25

Descriptive statistics

Standard deviation2006.6991
Coefficient of variation (CV)0.76633686
Kurtosis-1.2787974
Mean2618.56
Median Absolute Deviation (MAD)793.5
Skewness0.7285469
Sum261856
Variance4026841.1
MonotonicityNot monotonic
2023-12-10T20:24:55.797455image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1847 2
 
2.0%
1799 2
 
2.0%
5573 2
 
2.0%
811 2
 
2.0%
1156 2
 
2.0%
5266 2
 
2.0%
1789 1
 
1.0%
1085 1
 
1.0%
983 1
 
1.0%
700 1
 
1.0%
Other values (84) 84
84.0%
ValueCountFrequency (%)
482 1
1.0%
495 1
1.0%
511 1
1.0%
512 1
1.0%
513 1
1.0%
531 1
1.0%
537 1
1.0%
573 1
1.0%
700 1
1.0%
721 1
1.0%
ValueCountFrequency (%)
6259 1
1.0%
6033 1
1.0%
5986 1
1.0%
5878 1
1.0%
5874 1
1.0%
5809 1
1.0%
5770 1
1.0%
5758 1
1.0%
5702 1
1.0%
5676 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)
09140001201901010000400-5.0012.8271.8113.415140.078.3587.39819800021440.476.241.013.1290.09801789
19140001201901020000400-4.9012.8269.4128.862190.072.2577.87520600021510.566.3410.914.2910.10501777
29140001201901030000400-3.5012.8262.2115.041145.057.9433.99510700022550.416.7281.013.920.10901847
39140001201901040000400-1.1012.8202.2167.886295.074.2128.26311600022350.556.851.511.1740.10901898
49140001201901050000400-2.8012.8216.0139.837185.071.3257.85810100020370.556.8091.010.2870.10601672
59140001201901060000400-2.8012.6214.2138.618180.065.3377.6366300020460.536.5651.19.5890.09301669
69140001201901070000400-1.9012.5214.8139.024170.061.1456.9469750020830.257.3581.211.6510.08401691
79140001201901080000400-3.5012.5219.0114.6165.058.4926.54410400021060.66.01.110.320.0911759
89140001201901090000400-4.7012.6203.4143.689250.074.4828.89110800020780.56.0971.29.0290.09901701
99140001201901100000400-0.6012.5234.6138.641260.076.0518.3710200021620.466.1551.09.3610.09611784
권역본부코드사업장코드수질등록일자관리단코드기온강수량(mm)수온유입수BOD(mgL)유입수COD(mgL)유입수SS(mgL)유입수TN(mgL)유입수TP유입수대장균수(개ml)유량(ms)방류수BOD(mgl)방류수COD(mgL)방류수SS방류수TN(mgL)방류수TP방류수대장균수(개ml)방류량(㎥d)
909050002201901290000500-5.0010.2117.990.094.031.982.772550008511.17.21.66.9420.02416721
919050002201901300000500-2.0010.1115.697.9156.034.412.8625100011721.26.81.48.190.026141052
929050002201901310000500-2.009.9111.4115.1166.031.413.5945500011381.38.01.68.6760.036211024
939050003201901010000500-4.0010.3141.3117.6112.027.32.682550004543.07.61.84.7880.03768513
949050003201901020000500-3.0010.4136.2120.1106.028.442.814600005352.87.83.65.6640.0458537
959050003201901030000500-10.009.3129.0128.698.028.982.88660004193.17.02.48.5560.05875495
969050003201901040000500-10.009.4141.3134.4102.030.632.934580004432.66.42.616.1760.02865512
979050003201901050000500-6.0010.3120.3122.9114.026.972.796490004302.26.02.04.4580.03855531
989050003201901060000500-6.0010.2124.5120.098.027.153.006500005312.56.41.84.7460.04325482
999050003201901070000500-5.0010.0117.9131.486.024.272.514570005112.75.80.35.2860.04768511