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
기온 has 6 (6.0%) zerosZeros
방류수대장균수(개ml) has 10 (10.0%) zerosZeros

Reproduction

Analysis started2023-12-10 11:24:36.605849
Analysis finished2023-12-10 11:24:36.857456
Duration0.25 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
84 
91
16 

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 84
84.0%
91 16
 
16.0%

Length

2023-12-10T20:24:36.974893image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T20:24:37.143240image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
90 84
84.0%
91 16
 
16.0%

사업장코드
Categorical

Distinct4
Distinct (%)4.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
50003
28 
50001
28 
50002
28 
40001
16 

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 28
28.0%
50001 28
28.0%
50002 28
28.0%
40001 16
16.0%

Length

2023-12-10T20:24:37.315528image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T20:24:37.500348image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
50003 28
28.0%
50001 28
28.0%
50002 28
28.0%
40001 16
16.0%

수질등록일자
Real number (ℝ)

Distinct28
Distinct (%)28.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.0190215 × 1011
Minimum2.0190201 × 1011
Maximum2.0190228 × 1011
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T20:24:37.682792image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2.0190201 × 1011
5-th percentile2.0190202 × 1011
Q12.0190208 × 1011
median2.0190215 × 1011
Q32.0190222 × 1011
95-th percentile2.0190227 × 1011
Maximum2.0190228 × 1011
Range270000
Interquartile range (IQR)140000

Descriptive statistics

Standard deviation81555.273
Coefficient of variation (CV)4.0393465 × 10-7
Kurtosis-1.2242447
Mean2.0190215 × 1011
Median Absolute Deviation (MAD)70000
Skewness-0.042891087
Sum2.0190215 × 1013
Variance6.6512626 × 109
MonotonicityNot monotonic
2023-12-10T20:24:37.906945image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=28)
ValueCountFrequency (%)
201902140000 4
 
4.0%
201902250000 4
 
4.0%
201902210000 4
 
4.0%
201902270000 4
 
4.0%
201902280000 4
 
4.0%
201902130000 4
 
4.0%
201902120000 4
 
4.0%
201902110000 4
 
4.0%
201902060000 4
 
4.0%
201902260000 4
 
4.0%
Other values (18) 60
60.0%
ValueCountFrequency (%)
201902010000 3
3.0%
201902020000 3
3.0%
201902030000 4
4.0%
201902040000 3
3.0%
201902050000 3
3.0%
201902060000 4
4.0%
201902070000 4
4.0%
201902080000 3
3.0%
201902090000 3
3.0%
201902100000 3
3.0%
ValueCountFrequency (%)
201902280000 4
4.0%
201902270000 4
4.0%
201902260000 4
4.0%
201902250000 4
4.0%
201902240000 4
4.0%
201902230000 4
4.0%
201902220000 4
4.0%
201902210000 4
4.0%
201902200000 3
3.0%
201902190000 3
3.0%

관리단코드
Categorical

Distinct2
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
500
84 
400
16 

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 84
84.0%
400 16
 
16.0%

Length

2023-12-10T20:24:38.123230image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T20:24:38.288821image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
500 84
84.0%
400 16
 
16.0%

기온
Real number (ℝ)

ZEROS 

Distinct25
Distinct (%)25.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.571
Minimum-6
Maximum9
Zeros6
Zeros (%)6.0%
Negative27
Negative (%)27.0%
Memory size1.0 KiB
2023-12-10T20:24:38.440933image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-6
5-th percentile-3
Q1-0.65
median1
Q34
95-th percentile6.61
Maximum9
Range15
Interquartile range (IQR)4.65

Descriptive statistics

Standard deviation3.0918366
Coefficient of variation (CV)1.9680691
Kurtosis0.23821115
Mean1.571
Median Absolute Deviation (MAD)2
Skewness0.090303252
Sum157.1
Variance9.5594535
MonotonicityNot monotonic
2023-12-10T20:24:38.625342image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%)
1.0 21
21.0%
4.0 10
10.0%
2.0 9
9.0%
-1.0 9
9.0%
3.0 9
9.0%
-2.0 6
 
6.0%
0.0 6
 
6.0%
-3.0 4
 
4.0%
-6.0 3
 
3.0%
6.0 3
 
3.0%
Other values (15) 20
20.0%
ValueCountFrequency (%)
-6.0 3
 
3.0%
-3.0 4
 
4.0%
-2.1 2
 
2.0%
-2.0 6
 
6.0%
-1.0 9
9.0%
-0.8 1
 
1.0%
-0.6 1
 
1.0%
-0.5 1
 
1.0%
0.0 6
 
6.0%
1.0 21
21.0%
ValueCountFrequency (%)
9.0 3
3.0%
7.8 1
 
1.0%
6.8 1
 
1.0%
6.6 1
 
1.0%
6.3 1
 
1.0%
6.0 3
3.0%
5.2 1
 
1.0%
5.1 1
 
1.0%
5.0 3
3.0%
4.7 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

2023-12-10T20:24:38.816794image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T20:24:38.975842image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 100
100.0%

수온
Real number (ℝ)

Distinct16
Distinct (%)16.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean11.869
Minimum10.9
Maximum12.5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T20:24:39.119365image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum10.9
5-th percentile11.095
Q111.6
median11.9
Q312.1
95-th percentile12.5
Maximum12.5
Range1.6
Interquartile range (IQR)0.5

Descriptive statistics

Standard deviation0.38341765
Coefficient of variation (CV)0.032304124
Kurtosis-0.044537389
Mean11.869
Median Absolute Deviation (MAD)0.3
Skewness-0.41811448
Sum1186.9
Variance0.14700909
MonotonicityNot monotonic
2023-12-10T20:24:39.358130image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
12.0 19
19.0%
11.5 10
10.0%
11.8 10
10.0%
11.9 9
9.0%
11.6 9
9.0%
12.2 7
 
7.0%
12.5 7
 
7.0%
12.4 5
 
5.0%
12.3 5
 
5.0%
12.1 4
 
4.0%
Other values (6) 15
15.0%
ValueCountFrequency (%)
10.9 2
 
2.0%
11.0 3
 
3.0%
11.1 1
 
1.0%
11.3 1
 
1.0%
11.4 4
 
4.0%
11.5 10
10.0%
11.6 9
9.0%
11.7 4
 
4.0%
11.8 10
10.0%
11.9 9
9.0%
ValueCountFrequency (%)
12.5 7
 
7.0%
12.4 5
 
5.0%
12.3 5
 
5.0%
12.2 7
 
7.0%
12.1 4
 
4.0%
12.0 19
19.0%
11.9 9
9.0%
11.8 10
10.0%
11.7 4
 
4.0%
11.6 9
9.0%

유입수BOD(mgL)
Real number (ℝ)

Distinct86
Distinct (%)86.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean144.094
Minimum100.3
Maximum288.6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T20:24:39.609871image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum100.3
5-th percentile103.54
Q1117.95
median131.1
Q3149.85
95-th percentile232.38
Maximum288.6
Range188.3
Interquartile range (IQR)31.9

Descriptive statistics

Standard deviation39.788468
Coefficient of variation (CV)0.27612855
Kurtosis2.50218
Mean144.094
Median Absolute Deviation (MAD)16.3
Skewness1.674955
Sum14409.4
Variance1583.1222
MonotonicityNot monotonic
2023-12-10T20:24:39.872791image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
130.5 3
 
3.0%
117.8 2
 
2.0%
101.5 2
 
2.0%
134.4 2
 
2.0%
147.9 2
 
2.0%
115.5 2
 
2.0%
130.8 2
 
2.0%
131.4 2
 
2.0%
121.3 2
 
2.0%
113.5 2
 
2.0%
Other values (76) 79
79.0%
ValueCountFrequency (%)
100.3 1
1.0%
101.5 2
2.0%
102.3 1
1.0%
102.4 1
1.0%
103.6 1
1.0%
106.5 1
1.0%
107.8 1
1.0%
108.0 1
1.0%
109.5 1
1.0%
110.0 1
1.0%
ValueCountFrequency (%)
288.6 1
1.0%
273.0 1
1.0%
258.0 1
1.0%
236.4 1
1.0%
235.8 1
1.0%
232.2 1
1.0%
226.2 1
1.0%
224.0 1
1.0%
216.0 1
1.0%
211.8 1
1.0%

유입수COD(mgL)
Real number (ℝ)

Distinct68
Distinct (%)68.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean109.51366
Minimum77.04
Maximum145.9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T20:24:40.137357image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum77.04
5-th percentile86.47
Q197.8
median108.8915
Q3120.1
95-th percentile134.305
Maximum145.9
Range68.86
Interquartile range (IQR)22.3

Descriptive statistics

Standard deviation15.292569
Coefficient of variation (CV)0.13964075
Kurtosis-0.50128613
Mean109.51366
Median Absolute Deviation (MAD)11.1585
Skewness0.15072966
Sum10951.366
Variance233.86268
MonotonicityNot monotonic
2023-12-10T20:24:40.416044image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
117.5 6
 
6.0%
100.1 4
 
4.0%
128.6 3
 
3.0%
93.3 3
 
3.0%
120.1 3
 
3.0%
122.9 3
 
3.0%
105.0 3
 
3.0%
100.0 3
 
3.0%
107.5 3
 
3.0%
110.1 3
 
3.0%
Other values (58) 66
66.0%
ValueCountFrequency (%)
77.04 1
1.0%
80.0 1
1.0%
80.914 1
1.0%
82.1 1
1.0%
84.0 1
1.0%
86.6 1
1.0%
88.0 1
1.0%
88.6 1
1.0%
90.0 2
2.0%
91.1 1
1.0%
ValueCountFrequency (%)
145.9 1
 
1.0%
144.0 1
 
1.0%
142.4 1
 
1.0%
140.0 1
 
1.0%
134.4 1
 
1.0%
134.3 1
 
1.0%
131.6 1
 
1.0%
131.4 1
 
1.0%
128.7 2
2.0%
128.6 3
3.0%

유입수SS(mgL)
Real number (ℝ)

Distinct56
Distinct (%)56.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean142.303
Minimum66
Maximum310
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T20:24:40.618898image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum66
5-th percentile93.16635
Q1111.5
median132
Q3164.5
95-th percentile220.4
Maximum310
Range244
Interquartile range (IQR)53

Descriptive statistics

Standard deviation44.102798
Coefficient of variation (CV)0.30992177
Kurtosis1.4548728
Mean142.303
Median Absolute Deviation (MAD)24
Skewness1.1339499
Sum14230.3
Variance1945.0568
MonotonicityNot monotonic
2023-12-10T20:24:40.837981image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
132.0 4
 
4.0%
144.0 4
 
4.0%
94.0 4
 
4.0%
118.0 4
 
4.0%
112.0 4
 
4.0%
130.0 4
 
4.0%
150.0 3
 
3.0%
140.0 3
 
3.0%
106.0 3
 
3.0%
180.0 3
 
3.0%
Other values (46) 64
64.0%
ValueCountFrequency (%)
66.0 1
 
1.0%
78.0 1
 
1.0%
86.667 1
 
1.0%
90.0 2
2.0%
93.333 1
 
1.0%
94.0 4
4.0%
96.0 2
2.0%
98.0 1
 
1.0%
100.0 2
2.0%
103.3 1
 
1.0%
ValueCountFrequency (%)
310.0 1
1.0%
265.0 1
1.0%
240.0 1
1.0%
230.0 1
1.0%
228.0 1
1.0%
220.0 2
2.0%
218.0 1
1.0%
216.0 1
1.0%
210.0 1
1.0%
206.0 1
1.0%

유입수TN(mgL)
Real number (ℝ)

Distinct97
Distinct (%)97.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean41.13371
Minimum28.35
Maximum79.691
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T20:24:41.060695image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum28.35
5-th percentile29.778
Q132.895
median37.53
Q345.93
95-th percentile59.2078
Maximum79.691
Range51.341
Interquartile range (IQR)13.035

Descriptive statistics

Standard deviation11.00912
Coefficient of variation (CV)0.26764229
Kurtosis1.6571277
Mean41.13371
Median Absolute Deviation (MAD)6.63
Skewness1.2892041
Sum4113.371
Variance121.20073
MonotonicityNot monotonic
2023-12-10T20:24:41.304855image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
33.42 2
 
2.0%
30.99 2
 
2.0%
29.94 2
 
2.0%
43.38 1
 
1.0%
46.11 1
 
1.0%
47.49 1
 
1.0%
36.66 1
 
1.0%
44.16 1
 
1.0%
29.52 1
 
1.0%
29.79 1
 
1.0%
Other values (87) 87
87.0%
ValueCountFrequency (%)
28.35 1
1.0%
28.98 1
1.0%
29.37 1
1.0%
29.52 1
1.0%
29.55 1
1.0%
29.79 1
1.0%
29.82 1
1.0%
29.88 1
1.0%
29.91 1
1.0%
29.94 2
2.0%
ValueCountFrequency (%)
79.691 1
1.0%
75.138 1
1.0%
72.522 1
1.0%
70.249 1
1.0%
64.98 1
1.0%
58.904 1
1.0%
57.79 1
1.0%
56.954 1
1.0%
56.25 1
1.0%
55.71 1
1.0%

유입수TP
Real number (ℝ)

Distinct86
Distinct (%)86.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.03461
Minimum2.574
Maximum8.909
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T20:24:41.542481image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2.574
5-th percentile2.934
Q13.231
median3.789
Q34.0995
95-th percentile6.9352
Maximum8.909
Range6.335
Interquartile range (IQR)0.8685

Descriptive statistics

Standard deviation1.2375996
Coefficient of variation (CV)0.30674579
Kurtosis4.620488
Mean4.03461
Median Absolute Deviation (MAD)0.48
Skewness2.1018462
Sum403.461
Variance1.5316529
MonotonicityNot monotonic
2023-12-10T20:24:41.780891image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
3.99 3
 
3.0%
3.786 2
 
2.0%
3.948 2
 
2.0%
3.348 2
 
2.0%
3.216 2
 
2.0%
3.198 2
 
2.0%
3.15 2
 
2.0%
3.09 2
 
2.0%
4.068 2
 
2.0%
3.072 2
 
2.0%
Other values (76) 79
79.0%
ValueCountFrequency (%)
2.574 1
1.0%
2.61 1
1.0%
2.892 1
1.0%
2.928 1
1.0%
2.934 2
2.0%
2.964 1
1.0%
2.97 1
1.0%
3.048 1
1.0%
3.066 1
1.0%
3.072 2
2.0%
ValueCountFrequency (%)
8.909 1
1.0%
8.879 1
1.0%
7.424 1
1.0%
7.264 1
1.0%
6.977 1
1.0%
6.933 1
1.0%
6.915 1
1.0%
6.49 1
1.0%
5.994 1
1.0%
5.92 1
1.0%

유입수대장균수(개ml)
Real number (ℝ)

Distinct33
Distinct (%)33.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean57420
Minimum11500
Maximum159500
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T20:24:42.006794image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum11500
5-th percentile45000
Q149000
median51000
Q355000
95-th percentile104700
Maximum159500
Range148000
Interquartile range (IQR)6000

Descriptive statistics

Standard deviation22908.218
Coefficient of variation (CV)0.39895887
Kurtosis9.1610404
Mean57420
Median Absolute Deviation (MAD)3000
Skewness2.8969112
Sum5742000
Variance5.2478646 × 108
MonotonicityNot monotonic
2023-12-10T20:24:42.245860image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=33)
ValueCountFrequency (%)
52000 12
12.0%
50000 11
 
11.0%
49000 11
 
11.0%
55000 7
 
7.0%
51000 7
 
7.0%
47000 6
 
6.0%
48000 6
 
6.0%
54000 4
 
4.0%
46000 4
 
4.0%
57000 3
 
3.0%
Other values (23) 29
29.0%
ValueCountFrequency (%)
11500 1
 
1.0%
26000 1
 
1.0%
43000 1
 
1.0%
44000 1
 
1.0%
45000 3
 
3.0%
46000 4
 
4.0%
47000 6
6.0%
48000 6
6.0%
49000 11
11.0%
50000 11
11.0%
ValueCountFrequency (%)
159500 1
1.0%
151000 1
1.0%
147000 1
1.0%
136000 1
1.0%
108500 1
1.0%
104500 1
1.0%
101500 1
1.0%
97500 1
1.0%
97000 1
1.0%
78500 1
1.0%

유량(ms)
Real number (ℝ)

Distinct98
Distinct (%)98.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2785.75
Minimum345
Maximum8658
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T20:24:42.486386image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum345
5-th percentile419.4
Q1547.75
median1188.5
Q36515.25
95-th percentile7392.8
Maximum8658
Range8313
Interquartile range (IQR)5967.5

Descriptive statistics

Standard deviation2785.8792
Coefficient of variation (CV)1.0000464
Kurtosis-0.99357488
Mean2785.75
Median Absolute Deviation (MAD)765.5
Skewness0.89346549
Sum278575
Variance7761122.8
MonotonicityNot monotonic
2023-12-10T20:24:42.727816image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
449 2
 
2.0%
505 2
 
2.0%
6818 1
 
1.0%
964 1
 
1.0%
1220 1
 
1.0%
979 1
 
1.0%
1066 1
 
1.0%
838 1
 
1.0%
1138 1
 
1.0%
1104 1
 
1.0%
Other values (88) 88
88.0%
ValueCountFrequency (%)
345 1
1.0%
352 1
1.0%
396 1
1.0%
407 1
1.0%
408 1
1.0%
420 1
1.0%
426 1
1.0%
428 1
1.0%
429 1
1.0%
449 2
2.0%
ValueCountFrequency (%)
8658 1
1.0%
8174 1
1.0%
7814 1
1.0%
7772 1
1.0%
7408 1
1.0%
7392 1
1.0%
7360 1
1.0%
7342 1
1.0%
7331 1
1.0%
7185 1
1.0%

방류수BOD(mgl)
Real number (ℝ)

Distinct54
Distinct (%)54.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.9753
Minimum1
Maximum9.3
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T20:24:42.991226image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1.1
Q11.3075
median2.465
Q33.6
95-th percentile7.41
Maximum9.3
Range8.3
Interquartile range (IQR)2.2925

Descriptive statistics

Standard deviation1.996741
Coefficient of variation (CV)0.67110577
Kurtosis1.235852
Mean2.9753
Median Absolute Deviation (MAD)1.135
Skewness1.3542316
Sum297.53
Variance3.9869747
MonotonicityNot monotonic
2023-12-10T20:24:43.241370image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1.1 9
 
9.0%
1.3 7
 
7.0%
1.2 6
 
6.0%
2.9 4
 
4.0%
1.4 4
 
4.0%
3.6 4
 
4.0%
3.3 3
 
3.0%
3.2 3
 
3.0%
3.0 3
 
3.0%
2.5 3
 
3.0%
Other values (44) 54
54.0%
ValueCountFrequency (%)
1.0 2
 
2.0%
1.01 1
 
1.0%
1.1 9
9.0%
1.2 6
6.0%
1.3 7
7.0%
1.31 1
 
1.0%
1.4 4
4.0%
1.45 1
 
1.0%
1.5 1
 
1.0%
1.55 1
 
1.0%
ValueCountFrequency (%)
9.3 1
1.0%
8.8 1
1.0%
8.1 1
1.0%
7.9 1
1.0%
7.6 1
1.0%
7.4 1
1.0%
7.2 1
1.0%
7.0 2
2.0%
6.2 1
1.0%
5.8 1
1.0%

방류수COD(mgL)
Real number (ℝ)

Distinct52
Distinct (%)52.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9.04881
Minimum5.2
Maximum18.8
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T20:24:43.476550image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum5.2
5-th percentile5.8
Q17.2
median8
Q311.4
95-th percentile14.525
Maximum18.8
Range13.6
Interquartile range (IQR)4.2

Descriptive statistics

Standard deviation2.8477295
Coefficient of variation (CV)0.31470763
Kurtosis0.62807838
Mean9.04881
Median Absolute Deviation (MAD)1.2
Skewness1.0982594
Sum904.881
Variance8.1095634
MonotonicityNot monotonic
2023-12-10T20:24:43.728014image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
7.8 7
 
7.0%
7.4 6
 
6.0%
8.0 5
 
5.0%
6.8 5
 
5.0%
11.7 4
 
4.0%
7.0 4
 
4.0%
12.0 4
 
4.0%
6.2 4
 
4.0%
5.2 3
 
3.0%
5.8 3
 
3.0%
Other values (42) 55
55.0%
ValueCountFrequency (%)
5.2 3
3.0%
5.4 1
 
1.0%
5.8 3
3.0%
6.0 1
 
1.0%
6.2 4
4.0%
6.6 3
3.0%
6.8 5
5.0%
7.0 4
4.0%
7.2 2
 
2.0%
7.258 1
 
1.0%
ValueCountFrequency (%)
18.8 1
1.0%
16.4 1
1.0%
15.3 1
1.0%
15.0 2
2.0%
14.5 1
1.0%
14.3 1
1.0%
14.0 1
1.0%
13.7 1
1.0%
13.5 1
1.0%
13.2 1
1.0%

방류수SS
Real number (ℝ)

Distinct29
Distinct (%)29.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.49545
Minimum0.2
Maximum8.4
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T20:24:44.263387image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0.2
5-th percentile1.2
Q11.8
median2.4
Q33
95-th percentile3.8
Maximum8.4
Range8.2
Interquartile range (IQR)1.2

Descriptive statistics

Standard deviation1.0606194
Coefficient of variation (CV)0.42502131
Kurtosis8.6997296
Mean2.49545
Median Absolute Deviation (MAD)0.6
Skewness1.8428013
Sum249.545
Variance1.1249136
MonotonicityNot monotonic
2023-12-10T20:24:44.450609image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=29)
ValueCountFrequency (%)
2.4 11
11.0%
2.2 10
 
10.0%
1.8 10
 
10.0%
2.0 10
 
10.0%
1.2 6
 
6.0%
2.6 6
 
6.0%
2.8 6
 
6.0%
1.4 5
 
5.0%
3.0 5
 
5.0%
3.2 4
 
4.0%
Other values (19) 27
27.0%
ValueCountFrequency (%)
0.2 1
 
1.0%
0.8 1
 
1.0%
1.0 2
 
2.0%
1.2 6
6.0%
1.4 5
5.0%
1.6 2
 
2.0%
1.8 10
10.0%
2.0 10
10.0%
2.2 10
10.0%
2.4 11
11.0%
ValueCountFrequency (%)
8.4 1
 
1.0%
5.0 1
 
1.0%
4.6 1
 
1.0%
4.4 1
 
1.0%
3.8 3
3.0%
3.75 1
 
1.0%
3.733 1
 
1.0%
3.714 2
2.0%
3.667 2
2.0%
3.6 2
2.0%

방류수TN(mgL)
Real number (ℝ)

Distinct97
Distinct (%)97.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean11.87887
Minimum3.624
Maximum33.12
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T20:24:44.660937image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3.624
5-th percentile5.11725
Q18.03775
median8.9295
Q319.164
95-th percentile22.446
Maximum33.12
Range29.496
Interquartile range (IQR)11.12625

Descriptive statistics

Standard deviation6.303853
Coefficient of variation (CV)0.53067784
Kurtosis0.033330859
Mean11.87887
Median Absolute Deviation (MAD)1.3835
Skewness1.0405331
Sum1187.887
Variance39.738563
MonotonicityNot monotonic
2023-12-10T20:24:44.876640image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
9.528 2
 
2.0%
7.824 2
 
2.0%
9.534 2
 
2.0%
9.054 1
 
1.0%
8.694 1
 
1.0%
8.022 1
 
1.0%
7.776 1
 
1.0%
8.922 1
 
1.0%
9.444 1
 
1.0%
8.807 1
 
1.0%
Other values (87) 87
87.0%
ValueCountFrequency (%)
3.624 1
1.0%
4.278 1
1.0%
4.446 1
1.0%
4.86 1
1.0%
4.875 1
1.0%
5.13 1
1.0%
5.514 1
1.0%
5.664 1
1.0%
5.922 1
1.0%
5.934 1
1.0%
ValueCountFrequency (%)
33.12 1
1.0%
25.392 1
1.0%
24.864 1
1.0%
23.304 1
1.0%
22.56 1
1.0%
22.44 1
1.0%
22.32 1
1.0%
21.84 1
1.0%
21.72 1
1.0%
21.612 1
1.0%

방류수TP
Real number (ℝ)

Distinct66
Distinct (%)66.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.06654
Minimum0.011
Maximum0.167
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T20:24:45.136730image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0.011
5-th percentile0.02185
Q10.043
median0.06
Q30.083
95-th percentile0.13705
Maximum0.167
Range0.156
Interquartile range (IQR)0.04

Descriptive statistics

Standard deviation0.034430847
Coefficient of variation (CV)0.51744585
Kurtosis0.39004245
Mean0.06654
Median Absolute Deviation (MAD)0.0205
Skewness0.8728609
Sum6.654
Variance0.0011854832
MonotonicityNot monotonic
2023-12-10T20:24:45.372123image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.053 4
 
4.0%
0.06 4
 
4.0%
0.056 4
 
4.0%
0.066 3
 
3.0%
0.042 3
 
3.0%
0.028 3
 
3.0%
0.083 3
 
3.0%
0.065 3
 
3.0%
0.048 2
 
2.0%
0.043 2
 
2.0%
Other values (56) 69
69.0%
ValueCountFrequency (%)
0.011 1
 
1.0%
0.018 2
2.0%
0.019 2
2.0%
0.022 1
 
1.0%
0.023 1
 
1.0%
0.024 2
2.0%
0.025 1
 
1.0%
0.026 2
2.0%
0.028 3
3.0%
0.031 1
 
1.0%
ValueCountFrequency (%)
0.167 1
1.0%
0.155 1
1.0%
0.146 1
1.0%
0.144 1
1.0%
0.138 1
1.0%
0.137 1
1.0%
0.136 1
1.0%
0.132 1
1.0%
0.13 1
1.0%
0.129 1
1.0%

방류수대장균수(개ml)
Real number (ℝ)

ZEROS 

Distinct57
Distinct (%)57.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean77.65
Minimum0
Maximum290
Zeros10
Zeros (%)10.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T20:24:45.588770image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q18
median44.5
Q3152.5
95-th percentile250
Maximum290
Range290
Interquartile range (IQR)144.5

Descriptive statistics

Standard deviation88.367046
Coefficient of variation (CV)1.1380173
Kurtosis-0.52686963
Mean77.65
Median Absolute Deviation (MAD)39.5
Skewness0.98260222
Sum7765
Variance7808.7348
MonotonicityNot monotonic
2023-12-10T20:24:45.807949image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 10
 
10.0%
220 4
 
4.0%
10 4
 
4.0%
3 4
 
4.0%
8 4
 
4.0%
170 3
 
3.0%
1 3
 
3.0%
230 3
 
3.0%
11 3
 
3.0%
16 3
 
3.0%
Other values (47) 59
59.0%
ValueCountFrequency (%)
0 10
10.0%
1 3
 
3.0%
2 1
 
1.0%
3 4
 
4.0%
4 1
 
1.0%
5 2
 
2.0%
6 1
 
1.0%
7 1
 
1.0%
8 4
 
4.0%
9 2
 
2.0%
ValueCountFrequency (%)
290 1
 
1.0%
270 1
 
1.0%
260 2
2.0%
250 2
2.0%
240 2
2.0%
230 3
3.0%
220 4
4.0%
210 1
 
1.0%
200 1
 
1.0%
190 2
2.0%

방류량(㎥d)
Real number (ℝ)

Distinct95
Distinct (%)95.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2270.1
Minimum228
Maximum6230
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T20:24:46.031120image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum228
5-th percentile358.85
Q1469.5
median1091.5
Q35349.5
95-th percentile6083.05
Maximum6230
Range6002
Interquartile range (IQR)4880

Descriptive statistics

Standard deviation2218.8022
Coefficient of variation (CV)0.97740286
Kurtosis-1.0486887
Mean2270.1
Median Absolute Deviation (MAD)691
Skewness0.8785899
Sum227010
Variance4923083.3
MonotonicityNot monotonic
2023-12-10T20:24:46.276002image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
853 2
 
2.0%
359 2
 
2.0%
1713 2
 
2.0%
385 2
 
2.0%
987 2
 
2.0%
915 1
 
1.0%
877 1
 
1.0%
937 1
 
1.0%
1018 1
 
1.0%
999 1
 
1.0%
Other values (85) 85
85.0%
ValueCountFrequency (%)
228 1
1.0%
303 1
1.0%
306 1
1.0%
353 1
1.0%
356 1
1.0%
359 2
2.0%
365 1
1.0%
369 1
1.0%
376 1
1.0%
379 1
1.0%
ValueCountFrequency (%)
6230 1
1.0%
6166 1
1.0%
6148 1
1.0%
6141 1
1.0%
6122 1
1.0%
6081 1
1.0%
6039 1
1.0%
6028 1
1.0%
5974 1
1.0%
5888 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)
090500032019021400005006.0012.4224.0128.6240.041.194.278470004492.35.21.24.860.044220356
19050003201902020000500-3.0011.0130.5122.9144.033.423.072510005243.36.81.05.130.08270435
290500032019022300005001.0012.0135.3102.3130.037.083.924500004692.59.02.27.8240.06180402
390500032019021500005009.0012.5184.5144.0126.041.313.93480003522.69.02.85.5140.106160306
490500032019020700005001.0011.5129.9120.1230.034.263.33550004293.17.88.48.3880.155220365
590500032019020300005002.0011.5133.8128.7130.030.963.12530004573.67.42.46.1320.096220471
690500032019021900005000.0011.9141.6125.8144.029.913.144540005943.08.02.08.0040.084240465
79050003201902220000500-1.0012.0129.088.666.033.514.068520004203.010.34.48.5680.07170408
890500032019022600005003.0012.3149.7131.4206.036.033.99550003453.65.22.49.0720.06290228
990500032019021600005005.0012.5158.7134.4134.037.983.81550004762.98.22.05.6640.084130369
권역본부코드사업장코드수질등록일자관리단코드기온강수량(mm)수온유입수BOD(mgL)유입수COD(mgL)유입수SS(mgL)유입수TN(mgL)유입수TP유입수대장균수(개ml)유량(ms)방류수BOD(mgl)방류수COD(mgL)방류수SS방류수TN(mgL)방류수TP방류수대장균수(개ml)방류량(㎥d)
909140001201902130000400-2.1011.6131.492.4103.344.8854.9679700022281.87.93.68.0430.11411770
9191400012019022500004004.7012.0211.8127.817265.079.6917.26413600021722.438.3523.6678.470.13201674
9291400012019022400004006.3011.8258.0125.074210.056.9546.97714700022122.228.5253.7147.670.13611739
939140001201902120000400-0.6011.5197.4109.98993.33345.5974.6431150021471.458.4673.0678.0520.08701713
9491400012019020600004005.1011.7181.877.0486.66747.3224.3046650023281.557.2963.33312.4290.08101835
9591400012019020300004003.3011.8190.8100.693146.66734.8533.597850025161.17.4173.55.9730.08202035
9691400012019022300004006.8011.9226.2123.977175.053.0256.91515100022842.078.6023.7147.4360.16721784
9791400012019022200004004.0011.8232.2111.634205.055.6365.9210850022562.328.6213.68.6140.14601797
989140001201902110000400-3.0011.6210.6107.794133.33358.9045.1672600021831.318.2182.9339.1690.10501761
9991400012019022100004002.4011.6235.8104.777150.043.6986.4910150021632.528.4863.6678.9250.13801713