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
권역본부코드 is highly imbalanced (63.4%)Imbalance
관리단코드 is highly imbalanced (63.4%)Imbalance

Reproduction

Analysis started2023-12-10 11:24:01.829219
Analysis finished2023-12-10 11:24:02.062387
Duration0.23 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

2023-12-10T20:24:02.170357image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T20:24:02.337366image/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
7 

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

2023-12-10T20:24:02.534566image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T20:24:02.727171image/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)

Distinct32
Distinct (%)32.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.0190516 × 1011
Minimum2.0190501 × 1011
Maximum2.0190531 × 1011
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T20:24:02.924854image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2.0190501 × 1011
5-th percentile2.0190502 × 1011
Q12.0190509 × 1011
median2.0190516 × 1011
Q32.0190524 × 1011
95-th percentile2.019053 × 1011
Maximum2.0190531 × 1011
Range300000
Interquartile range (IQR)155000

Descriptive statistics

Standard deviation91252.96
Coefficient of variation (CV)4.5195951 × 10-7
Kurtosis-1.2235178
Mean2.0190516 × 1011
Median Absolute Deviation (MAD)80000
Skewness-0.015302147
Sum2.0190516 × 1013
Variance8.3271026 × 109
MonotonicityNot monotonic
2023-12-10T20:24:03.183051image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=32)
ValueCountFrequency (%)
201905070000 4
 
4.0%
201905140000 4
 
4.0%
201905290000 4
 
4.0%
201905310000 4
 
4.0%
201905300000 4
 
4.0%
201905150000 4
 
4.0%
201905280000 4
 
4.0%
201905220000 3
 
3.0%
201905180000 3
 
3.0%
201905190000 3
 
3.0%
Other values (22) 63
63.0%
ValueCountFrequency (%)
201905010000 3
3.0%
201905020000 3
3.0%
201905030000 3
3.0%
201905040000 3
3.0%
201905050000 3
3.0%
201905060000 3
3.0%
201905070000 4
4.0%
201905080000 3
3.0%
201905090000 3
3.0%
201905100000 3
3.0%
ValueCountFrequency (%)
201905310000 4
4.0%
201905300000 4
4.0%
201905290000 4
4.0%
201905280000 4
4.0%
201905270000 3
3.0%
201905260000 3
3.0%
201905250000 3
3.0%
201905240000 3
3.0%
201905230000 3
3.0%
201905220000 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

2023-12-10T20:24:03.392279image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T20:24:03.537031image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
500 93
93.0%
400 7
 
7.0%

기온
Real number (ℝ)

Distinct31
Distinct (%)31.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean19.843
Minimum15
Maximum25
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T20:24:03.713281image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum15
5-th percentile15.8
Q117.675
median20.05
Q322
95-th percentile24.4
Maximum25
Range10
Interquartile range (IQR)4.325

Descriptive statistics

Standard deviation2.6995793
Coefficient of variation (CV)0.13604693
Kurtosis-0.97700769
Mean19.843
Median Absolute Deviation (MAD)2.25
Skewness0.021654709
Sum1984.3
Variance7.2877283
MonotonicityNot monotonic
2023-12-10T20:24:03.943883image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=31)
ValueCountFrequency (%)
20.2 6
 
6.0%
17.7 6
 
6.0%
23.2 6
 
6.0%
15.8 6
 
6.0%
21.2 6
 
6.0%
19.6 5
 
5.0%
19.9 3
 
3.0%
23.5 3
 
3.0%
18.8 3
 
3.0%
16.0 3
 
3.0%
Other values (21) 53
53.0%
ValueCountFrequency (%)
15.0 1
 
1.0%
15.1 3
3.0%
15.8 6
6.0%
16.0 3
3.0%
17.0 3
3.0%
17.2 3
3.0%
17.5 3
3.0%
17.6 3
3.0%
17.7 6
6.0%
17.8 3
3.0%
ValueCountFrequency (%)
25.0 3
3.0%
24.4 3
3.0%
23.5 3
3.0%
23.3 3
3.0%
23.2 6
6.0%
22.3 3
3.0%
22.1 3
3.0%
22.0 3
3.0%
21.3 3
3.0%
21.2 6
6.0%

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

2023-12-10T20:24:04.148583image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T20:24:04.286668image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 100
100.0%

수온
Real number (ℝ)

Distinct41
Distinct (%)41.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean17
Minimum14.4
Maximum21.8
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T20:24:04.464613image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum14.4
5-th percentile14.895
Q115.4
median17.25
Q318
95-th percentile19.805
Maximum21.8
Range7.4
Interquartile range (IQR)2.6

Descriptive statistics

Standard deviation1.6419993
Coefficient of variation (CV)0.096588193
Kurtosis0.66467432
Mean17
Median Absolute Deviation (MAD)0.95
Skewness0.62491153
Sum1700
Variance2.6961616
MonotonicityNot monotonic
2023-12-10T20:24:04.669716image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=41)
ValueCountFrequency (%)
18.0 7
 
7.0%
15.0 7
 
7.0%
17.9 5
 
5.0%
17.8 5
 
5.0%
15.2 5
 
5.0%
16.9 4
 
4.0%
15.4 4
 
4.0%
17.6 4
 
4.0%
15.3 3
 
3.0%
17.3 3
 
3.0%
Other values (31) 53
53.0%
ValueCountFrequency (%)
14.4 1
 
1.0%
14.5 1
 
1.0%
14.6 1
 
1.0%
14.8 2
 
2.0%
14.9 2
 
2.0%
15.0 7
7.0%
15.1 2
 
2.0%
15.2 5
5.0%
15.3 3
3.0%
15.4 4
4.0%
ValueCountFrequency (%)
21.8 1
1.0%
21.7 1
1.0%
21.6 1
1.0%
21.5 1
1.0%
19.9 1
1.0%
19.8 1
1.0%
18.7 1
1.0%
18.6 2
2.0%
18.5 2
2.0%
18.4 2
2.0%

유입수BOD(mgL)
Real number (ℝ)

Distinct78
Distinct (%)78.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean137.783
Minimum84.4
Maximum368.4
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T20:24:04.898775image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum84.4
5-th percentile92.58
Q1115.25
median129.9
Q3138.15
95-th percentile300.99
Maximum368.4
Range284
Interquartile range (IQR)22.9

Descriptive statistics

Standard deviation54.76176
Coefficient of variation (CV)0.39744932
Kurtosis9.4561544
Mean137.783
Median Absolute Deviation (MAD)10.75
Skewness3.0888174
Sum13778.3
Variance2998.8503
MonotonicityNot monotonic
2023-12-10T20:24:05.119847image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
131.7 3
 
3.0%
119.0 3
 
3.0%
126.0 2
 
2.0%
103.5 2
 
2.0%
104.5 2
 
2.0%
134.7 2
 
2.0%
141.6 2
 
2.0%
136.2 2
 
2.0%
144.9 2
 
2.0%
133.2 2
 
2.0%
Other values (68) 78
78.0%
ValueCountFrequency (%)
84.4 1
1.0%
88.8 1
1.0%
90.6 1
1.0%
92.0 1
1.0%
92.2 1
1.0%
92.6 1
1.0%
93.0 1
1.0%
93.8 1
1.0%
95.0 1
1.0%
95.2 1
1.0%
ValueCountFrequency (%)
368.4 1
1.0%
367.0 1
1.0%
346.0 1
1.0%
326.0 1
1.0%
308.4 1
1.0%
300.6 1
1.0%
253.0 1
1.0%
151.2 1
1.0%
146.7 1
1.0%
144.9 2
2.0%

유입수COD(mgL)
Real number (ℝ)

Distinct32
Distinct (%)32.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean103.70704
Minimum85.7
Maximum171.59
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T20:24:05.338760image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum85.7
5-th percentile91.4
Q195
median97.5
Q3105.7
95-th percentile150.7544
Maximum171.59
Range85.89
Interquartile range (IQR)10.7

Descriptive statistics

Standard deviation16.334085
Coefficient of variation (CV)0.15750218
Kurtosis6.5386666
Mean103.70704
Median Absolute Deviation (MAD)4.1
Skewness2.5689561
Sum10370.704
Variance266.80234
MonotonicityNot monotonic
2023-12-10T20:24:05.539503image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=32)
ValueCountFrequency (%)
100.0 12
12.0%
97.5 10
 
10.0%
97.1 10
 
10.0%
94.3 8
 
8.0%
95.0 8
 
8.0%
102.9 6
 
6.0%
92.5 6
 
6.0%
91.4 4
 
4.0%
108.6 4
 
4.0%
105.7 4
 
4.0%
Other values (22) 28
28.0%
ValueCountFrequency (%)
85.7 1
 
1.0%
88.6 1
 
1.0%
90.0 2
 
2.0%
91.4 4
 
4.0%
92.5 6
6.0%
94.3 8
8.0%
95.0 8
8.0%
95.6 1
 
1.0%
96.7 1
 
1.0%
97.1 10
10.0%
ValueCountFrequency (%)
171.59 1
 
1.0%
159.468 1
 
1.0%
159.08 1
 
1.0%
156.894 1
 
1.0%
155.588 1
 
1.0%
150.5 1
 
1.0%
144.184 1
 
1.0%
120.0 3
3.0%
117.1 1
 
1.0%
114.3 2
2.0%

유입수SS(mgL)
Real number (ℝ)

Distinct56
Distinct (%)56.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean162.05
Minimum92
Maximum420
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T20:24:05.876789image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum92
5-th percentile102
Q1127.5
median143
Q3176.5
95-th percentile290.5
Maximum420
Range328
Interquartile range (IQR)49

Descriptive statistics

Standard deviation59.838398
Coefficient of variation (CV)0.36925886
Kurtosis3.3100016
Mean162.05
Median Absolute Deviation (MAD)23
Skewness1.7288793
Sum16205
Variance3580.6338
MonotonicityNot monotonic
2023-12-10T20:24:06.072730image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
132 6
 
6.0%
144 5
 
5.0%
136 4
 
4.0%
130 4
 
4.0%
138 3
 
3.0%
150 3
 
3.0%
114 3
 
3.0%
140 3
 
3.0%
154 3
 
3.0%
120 3
 
3.0%
Other values (46) 63
63.0%
ValueCountFrequency (%)
92 1
1.0%
94 1
1.0%
96 1
1.0%
98 1
1.0%
102 2
2.0%
104 1
1.0%
106 2
2.0%
108 2
2.0%
110 1
1.0%
112 2
2.0%
ValueCountFrequency (%)
420 1
 
1.0%
330 1
 
1.0%
305 1
 
1.0%
304 1
 
1.0%
300 1
 
1.0%
290 1
 
1.0%
272 1
 
1.0%
265 2
2.0%
260 1
 
1.0%
250 3
3.0%

유입수TN(mgL)
Real number (ℝ)

Distinct91
Distinct (%)91.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean36.67805
Minimum22.11
Maximum87.565
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T20:24:06.307023image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum22.11
5-th percentile26.8185
Q130.9375
median33.75
Q337.095
95-th percentile71.7018
Maximum87.565
Range65.455
Interquartile range (IQR)6.1575

Descriptive statistics

Standard deviation12.255417
Coefficient of variation (CV)0.33413491
Kurtosis8.3578001
Mean36.67805
Median Absolute Deviation (MAD)3.21
Skewness2.8845198
Sum3667.805
Variance150.19524
MonotonicityNot monotonic
2023-12-10T20:24:06.543560image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
33.42 5
 
5.0%
33.15 2
 
2.0%
36.0 2
 
2.0%
35.01 2
 
2.0%
31.08 2
 
2.0%
33.39 2
 
2.0%
34.23 1
 
1.0%
22.11 1
 
1.0%
27.15 1
 
1.0%
26.07 1
 
1.0%
Other values (81) 81
81.0%
ValueCountFrequency (%)
22.11 1
1.0%
23.97 1
1.0%
25.44 1
1.0%
26.07 1
1.0%
26.79 1
1.0%
26.82 1
1.0%
27.15 1
1.0%
27.45 1
1.0%
27.99 1
1.0%
28.44 1
1.0%
ValueCountFrequency (%)
87.565 1
1.0%
83.971 1
1.0%
83.725 1
1.0%
79.514 1
1.0%
73.18 1
1.0%
71.624 1
1.0%
64.806 1
1.0%
44.19 1
1.0%
43.44 1
1.0%
42.48 1
1.0%

유입수TP
Real number (ℝ)

Distinct77
Distinct (%)77.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.02336
Minimum2.55
Maximum11.036
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T20:24:06.854055image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2.55
5-th percentile3.0831
Q13.384
median3.645
Q33.855
95-th percentile8.85125
Maximum11.036
Range8.486
Interquartile range (IQR)0.471

Descriptive statistics

Standard deviation1.6189208
Coefficient of variation (CV)0.40238031
Kurtosis9.7969383
Mean4.02336
Median Absolute Deviation (MAD)0.252
Skewness3.2628389
Sum402.336
Variance2.6209047
MonotonicityNot monotonic
2023-12-10T20:24:07.120166image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
3.684 4
 
4.0%
3.528 4
 
4.0%
3.972 3
 
3.0%
3.732 3
 
3.0%
3.666 3
 
3.0%
3.618 3
 
3.0%
3.66 2
 
2.0%
3.384 2
 
2.0%
3.726 2
 
2.0%
3.588 2
 
2.0%
Other values (67) 72
72.0%
ValueCountFrequency (%)
2.55 1
1.0%
2.796 1
1.0%
2.91 1
1.0%
2.994 1
1.0%
3.066 1
1.0%
3.084 1
1.0%
3.09 1
1.0%
3.12 1
1.0%
3.132 1
1.0%
3.168 1
1.0%
ValueCountFrequency (%)
11.036 1
1.0%
10.566 1
1.0%
10.0 1
1.0%
9.62 1
1.0%
9.16 1
1.0%
8.835 1
1.0%
8.727 1
1.0%
4.83 1
1.0%
4.428 1
1.0%
4.278 1
1.0%

유입수대장균수(개ml)
Real number (ℝ)

Distinct25
Distinct (%)25.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean108430
Minimum85000
Maximum297000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T20:24:07.322252image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum85000
5-th percentile87000
Q193000
median99000
Q3110000
95-th percentile156700
Maximum297000
Range212000
Interquartile range (IQR)17000

Descriptive statistics

Standard deviation35771.795
Coefficient of variation (CV)0.32990681
Kurtosis16.210295
Mean108430
Median Absolute Deviation (MAD)8000
Skewness3.8922129
Sum10843000
Variance1.2796213 × 109
MonotonicityNot monotonic
2023-12-10T20:24:07.554132image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%)
110000 17
17.0%
100000 12
12.0%
99000 8
 
8.0%
120000 7
 
7.0%
89000 6
 
6.0%
98000 6
 
6.0%
94000 6
 
6.0%
91000 4
 
4.0%
87000 4
 
4.0%
96000 4
 
4.0%
Other values (15) 26
26.0%
ValueCountFrequency (%)
85000 1
 
1.0%
86000 2
 
2.0%
87000 4
4.0%
89000 6
6.0%
90000 3
3.0%
91000 4
4.0%
92000 4
4.0%
93000 3
3.0%
94000 6
6.0%
95000 3
3.0%
ValueCountFrequency (%)
297000 1
 
1.0%
284000 1
 
1.0%
264000 1
 
1.0%
206000 1
 
1.0%
189000 1
 
1.0%
155000 1
 
1.0%
148000 1
 
1.0%
130000 2
 
2.0%
120000 7
7.0%
110000 17
17.0%

유량(ms)
Real number (ℝ)

Distinct94
Distinct (%)94.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3034.69
Minimum347
Maximum9081
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T20:24:07.791365image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum347
5-th percentile403.9
Q1564.75
median1273
Q37132.25
95-th percentile7630.75
Maximum9081
Range8734
Interquartile range (IQR)6567.5

Descriptive statistics

Standard deviation3043.896
Coefficient of variation (CV)1.0030336
Kurtosis-1.3018652
Mean3034.69
Median Absolute Deviation (MAD)789
Skewness0.76711119
Sum303469
Variance9265302.9
MonotonicityNot monotonic
2023-12-10T20:24:08.035510image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1273 2
 
2.0%
1239 2
 
2.0%
7624 2
 
2.0%
347 2
 
2.0%
1278 2
 
2.0%
1272 2
 
2.0%
7544 1
 
1.0%
7128 1
 
1.0%
7504 1
 
1.0%
7483 1
 
1.0%
Other values (84) 84
84.0%
ValueCountFrequency (%)
347 2
2.0%
365 1
1.0%
376 1
1.0%
383 1
1.0%
405 1
1.0%
408 1
1.0%
427 1
1.0%
433 1
1.0%
435 1
1.0%
474 1
1.0%
ValueCountFrequency (%)
9081 1
1.0%
7975 1
1.0%
7904 1
1.0%
7853 1
1.0%
7664 1
1.0%
7629 1
1.0%
7624 2
2.0%
7605 1
1.0%
7573 1
1.0%
7544 1
1.0%

방류수BOD(mgl)
Real number (ℝ)

Distinct40
Distinct (%)40.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.9305
Minimum0.9
Maximum6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T20:24:08.308117image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0.9
5-th percentile1
Q11.275
median2.65
Q34.325
95-th percentile5.405
Maximum6
Range5.1
Interquartile range (IQR)3.05

Descriptive statistics

Standard deviation1.5508514
Coefficient of variation (CV)0.52921052
Kurtosis-1.3965324
Mean2.9305
Median Absolute Deviation (MAD)1.45
Skewness0.18515582
Sum293.05
Variance2.4051402
MonotonicityNot monotonic
2023-12-10T20:24:08.558378image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=40)
ValueCountFrequency (%)
1.1 9
 
9.0%
1.2 7
 
7.0%
1.0 6
 
6.0%
4.3 6
 
6.0%
4.0 6
 
6.0%
4.4 4
 
4.0%
4.6 4
 
4.0%
2.6 3
 
3.0%
2.7 3
 
3.0%
1.3 3
 
3.0%
Other values (30) 49
49.0%
ValueCountFrequency (%)
0.9 3
 
3.0%
1.0 6
6.0%
1.1 9
9.0%
1.2 7
7.0%
1.3 3
 
3.0%
1.4 2
 
2.0%
1.51 1
 
1.0%
1.6 1
 
1.0%
1.7 1
 
1.0%
1.86 1
 
1.0%
ValueCountFrequency (%)
6.0 1
 
1.0%
5.7 1
 
1.0%
5.5 3
3.0%
5.4 1
 
1.0%
5.2 2
2.0%
5.1 1
 
1.0%
5.0 1
 
1.0%
4.9 2
2.0%
4.8 3
3.0%
4.6 4
4.0%

방류수COD(mgL)
Real number (ℝ)

Distinct30
Distinct (%)30.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8.52992
Minimum5
Maximum13.2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T20:24:08.794187image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum5
5-th percentile5.4
Q17.2
median7.504
Q311.3
95-th percentile12.3
Maximum13.2
Range8.2
Interquartile range (IQR)4.1

Descriptive statistics

Standard deviation2.2915102
Coefficient of variation (CV)0.26864381
Kurtosis-1.0576666
Mean8.52992
Median Absolute Deviation (MAD)0.699
Skewness0.57248479
Sum852.992
Variance5.2510191
MonotonicityNot monotonic
2023-12-10T20:24:09.020407image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%)
7.4 14
14.0%
7.2 11
 
11.0%
7.6 7
 
7.0%
11.7 7
 
7.0%
7.0 7
 
7.0%
11.4 5
 
5.0%
12.0 5
 
5.0%
7.8 5
 
5.0%
6.8 4
 
4.0%
5.4 3
 
3.0%
Other values (20) 32
32.0%
ValueCountFrequency (%)
5.0 3
 
3.0%
5.4 3
 
3.0%
5.6 2
 
2.0%
5.8 3
 
3.0%
6.0 1
 
1.0%
6.8 4
 
4.0%
7.0 7
7.0%
7.169 1
 
1.0%
7.2 11
11.0%
7.4 14
14.0%
ValueCountFrequency (%)
13.2 1
 
1.0%
13.0 1
 
1.0%
12.9 1
 
1.0%
12.3 3
3.0%
12.0 5
5.0%
11.7 7
7.0%
11.4 5
5.0%
11.3 3
3.0%
11.1 2
 
2.0%
11.0 2
 
2.0%

방류수SS
Real number (ℝ)

Distinct24
Distinct (%)24.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.211
Minimum0.2
Maximum8.2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T20:24:09.625600image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0.2
5-th percentile0.4
Q11
median1.8
Q33.2
95-th percentile4.8
Maximum8.2
Range8
Interquartile range (IQR)2.2

Descriptive statistics

Standard deviation1.5320743
Coefficient of variation (CV)0.69293272
Kurtosis0.95412706
Mean2.211
Median Absolute Deviation (MAD)1
Skewness0.91536998
Sum221.1
Variance2.3472515
MonotonicityNot monotonic
2023-12-10T20:24:09.951342image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=24)
ValueCountFrequency (%)
1.0 13
13.0%
3.2 9
 
9.0%
1.2 9
 
9.0%
1.4 9
 
9.0%
3.6 8
 
8.0%
2.8 6
 
6.0%
0.4 6
 
6.0%
4.4 5
 
5.0%
0.2 4
 
4.0%
2.0 4
 
4.0%
Other values (14) 27
27.0%
ValueCountFrequency (%)
0.2 4
 
4.0%
0.4 6
6.0%
0.5 1
 
1.0%
0.6 3
 
3.0%
0.8 3
 
3.0%
1.0 13
13.0%
1.2 9
9.0%
1.4 9
9.0%
1.6 1
 
1.0%
1.8 3
 
3.0%
ValueCountFrequency (%)
8.2 1
 
1.0%
5.6 1
 
1.0%
5.2 2
 
2.0%
4.8 2
 
2.0%
4.4 5
5.0%
4.0 4
4.0%
3.6 8
8.0%
3.4 1
 
1.0%
3.2 9
9.0%
3.0 2
 
2.0%

방류수TN(mgL)
Real number (ℝ)

Distinct97
Distinct (%)97.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean11.5776
Minimum2.412
Maximum20.568
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T20:24:10.222021image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2.412
5-th percentile5.1216
Q19.17175
median10.902
Q314.442
95-th percentile19.1802
Maximum20.568
Range18.156
Interquartile range (IQR)5.27025

Descriptive statistics

Standard deviation4.2302847
Coefficient of variation (CV)0.36538529
Kurtosis-0.53274155
Mean11.5776
Median Absolute Deviation (MAD)2.64
Skewness0.19410849
Sum1157.76
Variance17.895309
MonotonicityNot monotonic
2023-12-10T20:24:10.487564image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
5.82 2
 
2.0%
10.02 2
 
2.0%
11.928 2
 
2.0%
7.164 1
 
1.0%
9.132 1
 
1.0%
10.764 1
 
1.0%
10.932 1
 
1.0%
10.608 1
 
1.0%
11.592 1
 
1.0%
15.372 1
 
1.0%
Other values (87) 87
87.0%
ValueCountFrequency (%)
2.412 1
1.0%
3.408 1
1.0%
3.974 1
1.0%
4.134 1
1.0%
4.62 1
1.0%
5.148 1
1.0%
5.376 1
1.0%
5.82 2
2.0%
5.84 1
1.0%
5.952 1
1.0%
ValueCountFrequency (%)
20.568 1
1.0%
19.908 1
1.0%
19.332 1
1.0%
19.32 1
1.0%
19.26 1
1.0%
19.176 1
1.0%
18.72 1
1.0%
18.564 1
1.0%
18.552 1
1.0%
18.3 1
1.0%

방류수TP
Real number (ℝ)

Distinct59
Distinct (%)59.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.07705
Minimum0.026
Maximum0.241
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T20:24:10.821263image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0.026
5-th percentile0.02995
Q10.04075
median0.071
Q30.104
95-th percentile0.1578
Maximum0.241
Range0.215
Interquartile range (IQR)0.06325

Descriptive statistics

Standard deviation0.041998407
Coefficient of variation (CV)0.5450799
Kurtosis1.7467989
Mean0.07705
Median Absolute Deviation (MAD)0.031
Skewness1.1985794
Sum7.705
Variance0.0017638662
MonotonicityNot monotonic
2023-12-10T20:24:11.097687image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.061 6
 
6.0%
0.036 4
 
4.0%
0.104 4
 
4.0%
0.034 4
 
4.0%
0.072 3
 
3.0%
0.071 3
 
3.0%
0.041 3
 
3.0%
0.04 2
 
2.0%
0.028 2
 
2.0%
0.031 2
 
2.0%
Other values (49) 67
67.0%
ValueCountFrequency (%)
0.026 1
 
1.0%
0.028 2
2.0%
0.029 2
2.0%
0.03 1
 
1.0%
0.031 2
2.0%
0.032 2
2.0%
0.034 4
4.0%
0.035 2
2.0%
0.036 4
4.0%
0.037 1
 
1.0%
ValueCountFrequency (%)
0.241 1
1.0%
0.185 1
1.0%
0.181 1
1.0%
0.173 2
2.0%
0.157 1
1.0%
0.146 1
1.0%
0.145 1
1.0%
0.143 1
1.0%
0.138 1
1.0%
0.131 1
1.0%

방류수대장균수(개ml)
Real number (ℝ)

Distinct53
Distinct (%)53.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean84.72
Minimum0
Maximum180
Zeros1
Zeros (%)1.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T20:24:11.353906image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile22
Q146.75
median80
Q3120
95-th percentile160
Maximum180
Range180
Interquartile range (IQR)73.25

Descriptive statistics

Standard deviation44.911379
Coefficient of variation (CV)0.53011542
Kurtosis-1.0434928
Mean84.72
Median Absolute Deviation (MAD)38.5
Skewness0.18624811
Sum8472
Variance2017.0319
MonotonicityNot monotonic
2023-12-10T20:24:11.635429image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
130 7
 
7.0%
140 6
 
6.0%
150 5
 
5.0%
100 5
 
5.0%
120 5
 
5.0%
110 5
 
5.0%
80 3
 
3.0%
160 3
 
3.0%
33 3
 
3.0%
89 3
 
3.0%
Other values (43) 55
55.0%
ValueCountFrequency (%)
0 1
 
1.0%
5 1
 
1.0%
15 1
 
1.0%
20 1
 
1.0%
22 2
2.0%
26 1
 
1.0%
27 2
2.0%
30 2
2.0%
31 2
2.0%
33 3
3.0%
ValueCountFrequency (%)
180 1
 
1.0%
170 2
 
2.0%
160 3
3.0%
150 5
5.0%
140 6
6.0%
130 7
7.0%
120 5
5.0%
110 5
5.0%
101 1
 
1.0%
100 5
5.0%

방류량(㎥d)
Real number (ℝ)

Distinct94
Distinct (%)94.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2812.94
Minimum262
Maximum7773
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T20:24:11.911171image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum262
5-th percentile326.55
Q1454.25
median1124
Q36845
95-th percentile7362.75
Maximum7773
Range7511
Interquartile range (IQR)6390.75

Descriptive statistics

Standard deviation2937.4057
Coefficient of variation (CV)1.0442476
Kurtosis-1.3127056
Mean2812.94
Median Absolute Deviation (MAD)772
Skewness0.77947739
Sum281294
Variance8628352.4
MonotonicityNot monotonic
2023-12-10T20:24:12.186925image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1109 2
 
2.0%
350 2
 
2.0%
1082 2
 
2.0%
1068 2
 
2.0%
1059 2
 
2.0%
394 2
 
2.0%
1133 1
 
1.0%
1083 1
 
1.0%
1106 1
 
1.0%
1085 1
 
1.0%
Other values (84) 84
84.0%
ValueCountFrequency (%)
262 1
1.0%
284 1
1.0%
316 1
1.0%
317 1
1.0%
318 1
1.0%
327 1
1.0%
329 1
1.0%
335 1
1.0%
344 1
1.0%
350 2
2.0%
ValueCountFrequency (%)
7773 1
1.0%
7749 1
1.0%
7474 1
1.0%
7417 1
1.0%
7377 1
1.0%
7362 1
1.0%
7339 1
1.0%
7333 1
1.0%
7305 1
1.0%
7292 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)
0905000320190522000050019.9017.9140.497.524431.023.498870005712.67.40.47.1640.06131391
1905000320190502000050017.0015.2151.2105.715435.673.5341100004903.67.23.411.7240.11272344
2905000320190514000050020.2017.4125.594.315227.453.7261000005723.95.00.213.5360.059150444
3905000320190521000050017.8016.9137.894.330430.333.2041200005172.57.82.45.820.104150446
4905000320190529000050020.2017.9137.1120.025034.683.552920005132.25.00.52.4120.18175350
5905000320190503000050018.7015.4138.9108.620434.263.9241000003763.37.80.613.2120.14330383
6905000320190510000050017.7015.5134.4114.314433.424.261100004274.87.80.217.6280.14580284
7905000320190513000050020.9017.4122.397.119428.863.91200005574.35.02.016.0920.055160455
8905000320190517000050024.4018.0132.3100.018633.424.164990005654.05.60.414.5320.07130470
9905000320190520000050017.2016.8122.5100.011627.993.391000005582.38.28.24.620.131130394
권역본부코드사업장코드수질등록일자관리단코드기온강수량(mm)수온유입수BOD(mgL)유입수COD(mgL)유입수SS(mgL)유입수TN(mgL)유입수TP유입수대장균수(개ml)유량(ms)방류수BOD(mgl)방류수COD(mgL)방류수SS방류수TN(mgL)방류수TP방류수대장균수(개ml)방류량(㎥d)
90905000220190530000050021.2017.6105.395.017831.083.7329100012571.16.81.09.5880.042401109
91905000220190531000050021.1018.0104.592.514033.063.61811000012491.37.41.210.020.044381102
92905000320190501000050015.8015.0138.0108.614837.323.666990004053.17.43.611.4960.106110317
93914000120190531000040019.1021.8253.0150.525064.8068.83518900025131.77.41.97.0010.083332042
94914000120190530000040019.6021.7326.0144.18425071.6248.72715500025522.327.4081.45.840.079272040
95914000120190515000040020.7019.8308.4159.0830579.51410.56629700025741.868.9242.89.4380.0802074
96914000120190529000040020.3021.6346.0156.89426583.72511.03628400026131.517.1691.95.820.082492107
97914000120190528000040018.1021.5367.0171.5929073.189.6214800024062.188.0041.87.6020.086311944
98914000120190514000040019.6019.9300.6159.46830087.5659.1620600023612.358.2063.27.2680.088221913
99914000120190507000040015.0018.7368.4155.58826583.97110.026400024231.938.3813.69.1850.10451992