Overview

Dataset statistics

Number of variables73
Number of observations365
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory233.2 KiB
Average record size in memory654.4 B

Variable types

DateTime1
Categorical10
Numeric61
Text1

Alerts

유입수_용존산소량 has constant value ""Constant
유입수_화학적산소요구량 has constant value ""Constant
분배조_수온 has constant value ""Constant
분배조_수소농도 has constant value ""Constant
분배조_용존산소량 has constant value ""Constant
분배조_화학적산소요구량 has constant value ""Constant
최초침전지_COD has constant value ""Constant
최초침전지_대장균군 has constant value ""Constant
방류수_용존산소량 has constant value ""Constant
일자 has unique valuesUnique
분배조_생물화학적산소요구량 has 275 (75.3%) zerosZeros
분배조_부유물질 has 274 (75.1%) zerosZeros
분배조_총질소량 has 274 (75.1%) zerosZeros
분배조_총인량 has 274 (75.1%) zerosZeros
최초침전지_BOD has 276 (75.6%) zerosZeros
최초침전지_부유물질 has 275 (75.3%) zerosZeros
최초침전지_총질소량 has 275 (75.3%) zerosZeros
최초침전지_총인량 has 275 (75.3%) zerosZeros
수질1계열_수온 has 282 (77.3%) zerosZeros
수질3계열_수온 has 282 (77.3%) zerosZeros
수질4계열_수온 has 282 (77.3%) zerosZeros
방류수_화학적산소요구량 has 286 (78.4%) zerosZeros
방류수_대장균군 has 139 (38.1%) zerosZeros
포기조1계열_슬러지부피 has 267 (73.2%) zerosZeros
포기조1계열_활성슬러지농도 has 271 (74.2%) zerosZeros
포기조1계열_슬러지용적지수 has 271 (74.2%) zerosZeros
포기조2계열_슬러지부피 has 273 (74.8%) zerosZeros
포기조2계열_활성슬러지농도 has 278 (76.2%) zerosZeros
포기조2계열_슬러지용적지수 has 278 (76.2%) zerosZeros
포기조3계열_슬러지부피 has 267 (73.2%) zerosZeros
포기조3계열_활성슬러지농도 has 271 (74.2%) zerosZeros
포기조3계열_슬러지용적지수 has 271 (74.2%) zerosZeros
포기조4계열_슬러지부피 has 269 (73.7%) zerosZeros
포기조4계열_활성슬러지농도 has 271 (74.2%) zerosZeros
포기조4계열_슬러지용적지수 has 271 (74.2%) zerosZeros
생슬러지1계열_총고형물 has 324 (88.8%) zerosZeros
생슬러지2계열_총고형물 has 324 (88.8%) zerosZeros
생슬러지3계열_총고형물 has 324 (88.8%) zerosZeros
생슬러지4계열_총고형물 has 324 (88.8%) zerosZeros
잉여슬러지1계열_총고형물 has 324 (88.8%) zerosZeros
잉여슬러지1계열_총고형물_1 has 326 (89.3%) zerosZeros
잉여슬러지1계열_총고형물_2 has 324 (88.8%) zerosZeros
잉여슬러지1계열_총고형물_3 has 323 (88.5%) zerosZeros
생슬러지1계열_강열감량 has 324 (88.8%) zerosZeros
생슬러지2계열_강열감량 has 324 (88.8%) zerosZeros
생슬러지3계열_강열감량 has 324 (88.8%) zerosZeros
생슬러지4계열_강열감량 has 324 (88.8%) zerosZeros
잉여슬러지1계열_강열감량 has 324 (88.8%) zerosZeros
잉여슬러지2계열_강열감량 has 326 (89.3%) zerosZeros
잉여슬러지3계열_강열감량 has 324 (88.8%) zerosZeros
잉여슬러지4계열_강열감량 has 323 (88.5%) zerosZeros
탈수케익_함수율 has 322 (88.2%) zerosZeros

Reproduction

Analysis started2024-03-18 02:43:48.934705
Analysis finished2024-03-18 02:43:49.449630
Duration0.51 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

일자
Date

UNIQUE 

Distinct365
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size3.0 KiB
Minimum2022-01-01 00:00:00
Maximum2022-12-31 00:00:00
2024-03-18T11:43:49.512789image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-18T11:43:49.620119image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

날씨
Categorical

Distinct4
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Memory size3.0 KiB
맑음
229 
67 
흐림
51 
 
18

Length

Max length2
Median length2
Mean length1.7671233
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row맑음
2nd row
3rd row
4th row맑음
5th row맑음

Common Values

ValueCountFrequency (%)
맑음 229
62.7%
67
 
18.4%
흐림 51
 
14.0%
18
 
4.9%

Length

2024-03-18T11:43:49.718071image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-18T11:43:49.801549image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
맑음 229
62.7%
67
 
18.4%
흐림 51
 
14.0%
18
 
4.9%

유입량
Real number (ℝ)

Distinct363
Distinct (%)99.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean224121.38
Minimum188047
Maximum400786
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.3 KiB
2024-03-18T11:43:49.907494image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum188047
5-th percentile196650
Q1205654
median210623
Q3225509
95-th percentile314788
Maximum400786
Range212739
Interquartile range (IQR)19855

Descriptive statistics

Standard deviation35682.517
Coefficient of variation (CV)0.15921067
Kurtosis5.8331753
Mean224121.38
Median Absolute Deviation (MAD)7176
Skewness2.3762438
Sum81804305
Variance1.273242 × 109
MonotonicityNot monotonic
2024-03-18T11:43:50.016686image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
196210 2
 
0.5%
200656 2
 
0.5%
207143 1
 
0.3%
255418 1
 
0.3%
291641 1
 
0.3%
318212 1
 
0.3%
400786 1
 
0.3%
367099 1
 
0.3%
246874 1
 
0.3%
211803 1
 
0.3%
Other values (353) 353
96.7%
ValueCountFrequency (%)
188047 1
0.3%
188369 1
0.3%
190214 1
0.3%
191206 1
0.3%
191349 1
0.3%
191733 1
0.3%
193361 1
0.3%
194144 1
0.3%
194349 1
0.3%
194471 1
0.3%
ValueCountFrequency (%)
400786 1
0.3%
395442 1
0.3%
386951 1
0.3%
367099 1
0.3%
342840 1
0.3%
335113 1
0.3%
331793 1
0.3%
331215 1
0.3%
330398 1
0.3%
328345 1
0.3%

방류량
Real number (ℝ)

Distinct328
Distinct (%)89.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean210002.23
Minimum142520
Maximum394907
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.3 KiB
2024-03-18T11:43:50.125624image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum142520
5-th percentile180890
Q1192765
median197794
Q3209480
95-th percentile305121.8
Maximum394907
Range252387
Interquartile range (IQR)16715

Descriptive statistics

Standard deviation35650.219
Coefficient of variation (CV)0.16976115
Kurtosis6.2566179
Mean210002.23
Median Absolute Deviation (MAD)7166
Skewness2.3871713
Sum76650813
Variance1.2709381 × 109
MonotonicityNot monotonic
2024-03-18T11:43:50.239893image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
197794 29
 
7.9%
195643 9
 
2.5%
180890 2
 
0.5%
211959 1
 
0.3%
195104 1
 
0.3%
207687 1
 
0.3%
243368 1
 
0.3%
212848 1
 
0.3%
210541 1
 
0.3%
221378 1
 
0.3%
Other values (318) 318
87.1%
ValueCountFrequency (%)
142520 1
0.3%
155068 1
0.3%
155518 1
0.3%
163986 1
0.3%
167685 1
0.3%
171424 1
0.3%
174347 1
0.3%
175691 1
0.3%
176507 1
0.3%
178018 1
0.3%
ValueCountFrequency (%)
394907 1
0.3%
383790 1
0.3%
365353 1
0.3%
341319 1
0.3%
324334 1
0.3%
324137 1
0.3%
324075 1
0.3%
320256 1
0.3%
318681 1
0.3%
317431 1
0.3%

내부반송율
Real number (ℝ)

Distinct80
Distinct (%)21.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean105.69589
Minimum32
Maximum208
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.3 KiB
2024-03-18T11:43:50.568340image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum32
5-th percentile74
Q188
median95
Q3104
95-th percentile200
Maximum208
Range176
Interquartile range (IQR)16

Descriptive statistics

Standard deviation36.601929
Coefficient of variation (CV)0.34629472
Kurtosis2.3314986
Mean105.69589
Median Absolute Deviation (MAD)8
Skewness1.8394817
Sum38579
Variance1339.7012
MonotonicityNot monotonic
2024-03-18T11:43:50.677303image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
94 23
 
6.3%
91 17
 
4.7%
97 16
 
4.4%
99 15
 
4.1%
96 14
 
3.8%
95 12
 
3.3%
93 12
 
3.3%
88 11
 
3.0%
104 10
 
2.7%
100 10
 
2.7%
Other values (70) 225
61.6%
ValueCountFrequency (%)
32 1
 
0.3%
34 1
 
0.3%
64 1
 
0.3%
65 1
 
0.3%
66 1
 
0.3%
67 1
 
0.3%
69 1
 
0.3%
70 2
 
0.5%
71 5
1.4%
72 1
 
0.3%
ValueCountFrequency (%)
208 1
 
0.3%
207 1
 
0.3%
206 2
 
0.5%
205 2
 
0.5%
204 2
 
0.5%
203 4
1.1%
202 1
 
0.3%
201 3
0.8%
200 5
1.4%
199 2
 
0.5%

외부반송율
Real number (ℝ)

Distinct39
Distinct (%)10.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean38.586301
Minimum19
Maximum95
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.3 KiB
2024-03-18T11:43:50.783125image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19
5-th percentile22.2
Q131
median41
Q346
95-th percentile51.8
Maximum95
Range76
Interquartile range (IQR)15

Descriptive statistics

Standard deviation9.8391642
Coefficient of variation (CV)0.25499112
Kurtosis1.7857347
Mean38.586301
Median Absolute Deviation (MAD)8
Skewness0.30825328
Sum14084
Variance96.809152
MonotonicityNot monotonic
2024-03-18T11:43:50.891408image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=39)
ValueCountFrequency (%)
43 19
 
5.2%
47 19
 
5.2%
44 19
 
5.2%
50 18
 
4.9%
29 18
 
4.9%
45 17
 
4.7%
41 16
 
4.4%
49 15
 
4.1%
31 15
 
4.1%
32 13
 
3.6%
Other values (29) 196
53.7%
ValueCountFrequency (%)
19 1
 
0.3%
20 5
1.4%
21 8
2.2%
22 5
1.4%
23 9
2.5%
24 4
 
1.1%
25 8
2.2%
26 6
1.6%
27 5
1.4%
28 10
2.7%
ValueCountFrequency (%)
95 1
 
0.3%
69 1
 
0.3%
55 1
 
0.3%
54 2
 
0.5%
53 8
2.2%
52 6
 
1.6%
51 5
 
1.4%
50 18
4.9%
49 15
4.1%
48 13
3.6%

유입수_수온
Real number (ℝ)

Distinct127
Distinct (%)34.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean19.352329
Minimum10.6
Maximum27
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.3 KiB
2024-03-18T11:43:51.060518image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum10.6
5-th percentile12
Q114.4
median20.2
Q324.2
95-th percentile25.7
Maximum27
Range16.4
Interquartile range (IQR)9.8

Descriptive statistics

Standard deviation4.9671256
Coefficient of variation (CV)0.25666811
Kurtosis-1.416191
Mean19.352329
Median Absolute Deviation (MAD)4.5
Skewness-0.23848238
Sum7063.6
Variance24.672337
MonotonicityNot monotonic
2024-03-18T11:43:51.189724image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
12.5 12
 
3.3%
12.0 11
 
3.0%
25.0 10
 
2.7%
12.6 9
 
2.5%
11.9 8
 
2.2%
25.1 7
 
1.9%
24.3 7
 
1.9%
25.7 6
 
1.6%
25.4 6
 
1.6%
24.2 6
 
1.6%
Other values (117) 283
77.5%
ValueCountFrequency (%)
10.6 1
 
0.3%
11.4 1
 
0.3%
11.7 1
 
0.3%
11.8 4
 
1.1%
11.9 8
2.2%
12.0 11
3.0%
12.1 3
 
0.8%
12.2 5
1.4%
12.3 5
1.4%
12.4 5
1.4%
ValueCountFrequency (%)
27.0 3
0.8%
26.8 1
 
0.3%
26.7 1
 
0.3%
26.2 1
 
0.3%
26.0 5
1.4%
25.9 4
1.1%
25.8 2
 
0.5%
25.7 6
1.6%
25.6 3
0.8%
25.5 4
1.1%

유입수_수소농도
Real number (ℝ)

Distinct10
Distinct (%)2.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.7852055
Minimum6
Maximum7.2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.3 KiB
2024-03-18T11:43:51.284470image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum6
5-th percentile6.5
Q16.7
median6.8
Q36.9
95-th percentile7
Maximum7.2
Range1.2
Interquartile range (IQR)0.2

Descriptive statistics

Standard deviation0.13424708
Coefficient of variation (CV)0.019785264
Kurtosis3.3236623
Mean6.7852055
Median Absolute Deviation (MAD)0.1
Skewness-0.83080102
Sum2476.6
Variance0.018022279
MonotonicityNot monotonic
2024-03-18T11:43:51.371445image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
6.8 135
37.0%
6.7 86
23.6%
6.9 77
21.1%
7.0 24
 
6.6%
6.5 21
 
5.8%
6.6 13
 
3.6%
7.1 4
 
1.1%
6.4 3
 
0.8%
7.2 1
 
0.3%
6.0 1
 
0.3%
ValueCountFrequency (%)
6.0 1
 
0.3%
6.4 3
 
0.8%
6.5 21
 
5.8%
6.6 13
 
3.6%
6.7 86
23.6%
6.8 135
37.0%
6.9 77
21.1%
7.0 24
 
6.6%
7.1 4
 
1.1%
7.2 1
 
0.3%
ValueCountFrequency (%)
7.2 1
 
0.3%
7.1 4
 
1.1%
7.0 24
 
6.6%
6.9 77
21.1%
6.8 135
37.0%
6.7 86
23.6%
6.6 13
 
3.6%
6.5 21
 
5.8%
6.4 3
 
0.8%
6.0 1
 
0.3%

유입수_용존산소량
Categorical

CONSTANT 

Distinct1
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size3.0 KiB
0
365 

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 (%)
0 365
100.0%

Length

2024-03-18T11:43:51.484310image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-18T11:43:51.589401image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 365
100.0%
Distinct301
Distinct (%)82.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean202.43616
Minimum73.8
Maximum629
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.3 KiB
2024-03-18T11:43:51.699918image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum73.8
5-th percentile122.88
Q1157.9
median189.4
Q3228
95-th percentile318
Maximum629
Range555.2
Interquartile range (IQR)70.1

Descriptive statistics

Standard deviation66.455482
Coefficient of variation (CV)0.32827871
Kurtosis5.6238586
Mean202.43616
Median Absolute Deviation (MAD)33
Skewness1.6656215
Sum73889.2
Variance4416.3311
MonotonicityNot monotonic
2024-03-18T11:43:51.812937image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
213.0 4
 
1.1%
180.4 3
 
0.8%
185.6 3
 
0.8%
189.3 3
 
0.8%
126.3 2
 
0.5%
216.0 2
 
0.5%
188.6 2
 
0.5%
136.3 2
 
0.5%
297.0 2
 
0.5%
171.8 2
 
0.5%
Other values (291) 340
93.2%
ValueCountFrequency (%)
73.8 1
0.3%
77.4 1
0.3%
91.5 1
0.3%
92.8 1
0.3%
93.5 1
0.3%
94.3 1
0.3%
95.0 1
0.3%
95.8 1
0.3%
105.0 1
0.3%
105.5 1
0.3%
ValueCountFrequency (%)
629.0 1
0.3%
462.8 1
0.3%
450.0 1
0.3%
414.0 1
0.3%
404.0 1
0.3%
402.8 1
0.3%
393.0 1
0.3%
392.8 1
0.3%
381.0 1
0.3%
375.8 1
0.3%
Distinct1
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size3.0 KiB
0
365 

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 (%)
0 365
100.0%

Length

2024-03-18T11:43:51.911720image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-18T11:43:51.987351image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 365
100.0%

유입수_부유물질
Real number (ℝ)

Distinct87
Distinct (%)23.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean164.87644
Minimum62
Maximum3700
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.3 KiB
2024-03-18T11:43:52.073174image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum62
5-th percentile90
Q1116.7
median135
Q3160
95-th percentile226.36
Maximum3700
Range3638
Interquartile range (IQR)43.3

Descriptive statistics

Standard deviation231.35221
Coefficient of variation (CV)1.4031854
Kurtosis160.10629
Mean164.87644
Median Absolute Deviation (MAD)20
Skewness11.646663
Sum60179.9
Variance53523.844
MonotonicityNot monotonic
2024-03-18T11:43:52.192227image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
150.0 26
 
7.1%
130.0 17
 
4.7%
126.7 15
 
4.1%
140.0 14
 
3.8%
120.0 14
 
3.8%
160.0 13
 
3.6%
135.0 13
 
3.6%
170.0 12
 
3.3%
143.3 11
 
3.0%
110.0 11
 
3.0%
Other values (77) 219
60.0%
ValueCountFrequency (%)
62.0 1
0.3%
70.0 2
0.5%
72.5 1
0.3%
73.3 2
0.5%
76.0 1
0.3%
77.5 1
0.3%
78.3 1
0.3%
80.0 2
0.5%
82.5 1
0.3%
83.3 1
0.3%
ValueCountFrequency (%)
3700.0 1
0.3%
1790.0 1
0.3%
1450.0 1
0.3%
1130.0 1
0.3%
1020.0 1
0.3%
600.0 1
0.3%
455.0 1
0.3%
336.7 1
0.3%
325.0 1
0.3%
290.0 1
0.3%

유입수_총질소량
Real number (ℝ)

Distinct361
Distinct (%)98.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean31.782337
Minimum9.226
Maximum56.621
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.3 KiB
2024-03-18T11:43:52.308997image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum9.226
5-th percentile18.513
Q129.084
median32.084
Q335.343
95-th percentile41.3304
Maximum56.621
Range47.395
Interquartile range (IQR)6.259

Descriptive statistics

Standard deviation6.8909626
Coefficient of variation (CV)0.21681737
Kurtosis1.8331206
Mean31.782337
Median Absolute Deviation (MAD)3.218
Skewness-0.25758332
Sum11600.553
Variance47.485366
MonotonicityNot monotonic
2024-03-18T11:43:52.414328image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
24.464 2
 
0.5%
35.608 2
 
0.5%
33.625 2
 
0.5%
40.26 2
 
0.5%
29.84 1
 
0.3%
28.094 1
 
0.3%
25.102 1
 
0.3%
21.356 1
 
0.3%
18.499 1
 
0.3%
15.709 1
 
0.3%
Other values (351) 351
96.2%
ValueCountFrequency (%)
9.226 1
0.3%
9.259 1
0.3%
10.395 1
0.3%
11.051 1
0.3%
12.068 1
0.3%
12.56 1
0.3%
13.774 1
0.3%
14.175 1
0.3%
15.709 1
0.3%
15.913 1
0.3%
ValueCountFrequency (%)
56.621 1
0.3%
55.012 1
0.3%
51.407 1
0.3%
49.86 1
0.3%
49.102 1
0.3%
48.952 1
0.3%
48.53 1
0.3%
48.055 1
0.3%
47.799 1
0.3%
47.206 1
0.3%

유입수_총인량
Real number (ℝ)

Distinct335
Distinct (%)91.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.2117151
Minimum0.342
Maximum6.624
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.3 KiB
2024-03-18T11:43:52.515140image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0.342
5-th percentile1.7012
Q12.849
median3.261
Q33.626
95-th percentile4.3676
Maximum6.624
Range6.282
Interquartile range (IQR)0.777

Descriptive statistics

Standard deviation0.77482472
Coefficient of variation (CV)0.24124952
Kurtosis2.498487
Mean3.2117151
Median Absolute Deviation (MAD)0.387
Skewness0.097483865
Sum1172.276
Variance0.60035334
MonotonicityNot monotonic
2024-03-18T11:43:52.613831image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
3.831 3
 
0.8%
3.51 3
 
0.8%
3.577 2
 
0.5%
3.178 2
 
0.5%
3.428 2
 
0.5%
3.215 2
 
0.5%
3.221 2
 
0.5%
3.325 2
 
0.5%
2.934 2
 
0.5%
2.92 2
 
0.5%
Other values (325) 343
94.0%
ValueCountFrequency (%)
0.342 1
0.3%
0.949 1
0.3%
0.962 1
0.3%
1.148 1
0.3%
1.317 1
0.3%
1.391 1
0.3%
1.52 1
0.3%
1.565 1
0.3%
1.59 1
0.3%
1.596 1
0.3%
ValueCountFrequency (%)
6.624 1
0.3%
6.024 1
0.3%
6.021 1
0.3%
5.776 1
0.3%
5.68 1
0.3%
5.04 1
0.3%
4.923 1
0.3%
4.9 1
0.3%
4.699 1
0.3%
4.681 1
0.3%

유입수_대장균군
Real number (ℝ)

Distinct117
Distinct (%)32.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean172764.66
Minimum0
Maximum1300000
Zeros2
Zeros (%)0.5%
Negative0
Negative (%)0.0%
Memory size3.3 KiB
2024-03-18T11:43:52.727964image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile23200
Q163000
median130000
Q3210000
95-th percentile516000
Maximum1300000
Range1300000
Interquartile range (IQR)147000

Descriptive statistics

Standard deviation166791.42
Coefficient of variation (CV)0.9654256
Kurtosis10.866747
Mean172764.66
Median Absolute Deviation (MAD)70000
Skewness2.6954357
Sum63059100
Variance2.7819379 × 1010
MonotonicityNot monotonic
2024-03-18T11:43:52.840044image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
130000 21
 
5.8%
170000 18
 
4.9%
150000 15
 
4.1%
140000 14
 
3.8%
110000 14
 
3.8%
160000 12
 
3.3%
120000 12
 
3.3%
180000 10
 
2.7%
190000 8
 
2.2%
100000 8
 
2.2%
Other values (107) 233
63.8%
ValueCountFrequency (%)
0 2
0.5%
3100 1
 
0.3%
11000 1
 
0.3%
13000 2
0.5%
15000 4
1.1%
18000 2
0.5%
19000 2
0.5%
20000 2
0.5%
21000 1
 
0.3%
22000 1
 
0.3%
ValueCountFrequency (%)
1300000 1
0.3%
1200000 1
0.3%
890000 1
0.3%
720000 1
0.3%
710000 1
0.3%
700000 1
0.3%
690000 1
0.3%
680000 1
0.3%
640000 1
0.3%
630000 1
0.3%

분배조_수온
Categorical

CONSTANT 

Distinct1
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size3.0 KiB
0
365 

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 (%)
0 365
100.0%

Length

2024-03-18T11:43:52.953529image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-18T11:43:53.031558image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 365
100.0%

분배조_수소농도
Categorical

CONSTANT 

Distinct1
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size3.0 KiB
0
365 

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 (%)
0 365
100.0%

Length

2024-03-18T11:43:53.116975image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-18T11:43:53.213906image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 365
100.0%

분배조_용존산소량
Categorical

CONSTANT 

Distinct1
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size3.0 KiB
0
365 

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 (%)
0 365
100.0%

Length

2024-03-18T11:43:53.320744image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-18T11:43:53.393333image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 365
100.0%
Distinct91
Distinct (%)24.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean82.784384
Minimum0
Maximum648
Zeros275
Zeros (%)75.3%
Negative0
Negative (%)0.0%
Memory size3.3 KiB
2024-03-18T11:43:53.477960image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile462.6
Maximum648
Range648
Interquartile range (IQR)0

Descriptive statistics

Standard deviation160.23055
Coefficient of variation (CV)1.9355167
Kurtosis2.0453346
Mean82.784384
Median Absolute Deviation (MAD)0
Skewness1.798251
Sum30216.3
Variance25673.831
MonotonicityNot monotonic
2024-03-18T11:43:53.590668image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 275
75.3%
333.0 1
 
0.3%
116.3 1
 
0.3%
207.4 1
 
0.3%
235.1 1
 
0.3%
474.8 1
 
0.3%
282.0 1
 
0.3%
320.3 1
 
0.3%
240.8 1
 
0.3%
182.6 1
 
0.3%
Other values (81) 81
 
22.2%
ValueCountFrequency (%)
0.0 275
75.3%
97.7 1
 
0.3%
105.8 1
 
0.3%
116.3 1
 
0.3%
134.6 1
 
0.3%
142.4 1
 
0.3%
145.0 1
 
0.3%
151.5 1
 
0.3%
156.8 1
 
0.3%
158.1 1
 
0.3%
ValueCountFrequency (%)
648.0 1
0.3%
642.0 1
0.3%
619.5 1
0.3%
612.0 1
0.3%
601.5 1
0.3%
570.0 1
0.3%
568.5 1
0.3%
565.5 1
0.3%
529.0 1
0.3%
528.0 1
0.3%
Distinct1
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size3.0 KiB
0
365 

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 (%)
0 365
100.0%

Length

2024-03-18T11:43:53.712238image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-18T11:43:53.815533image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 365
100.0%

분배조_부유물질
Real number (ℝ)

ZEROS 

Distinct64
Distinct (%)17.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean101.87233
Minimum0
Maximum860
Zeros274
Zeros (%)75.1%
Negative0
Negative (%)0.0%
Memory size3.3 KiB
2024-03-18T11:43:53.922181image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile618
Maximum860
Range860
Interquartile range (IQR)0

Descriptive statistics

Standard deviation202.52059
Coefficient of variation (CV)1.9879843
Kurtosis2.5895122
Mean101.87233
Median Absolute Deviation (MAD)0
Skewness1.9375548
Sum37183.4
Variance41014.588
MonotonicityNot monotonic
2024-03-18T11:43:54.026864image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 274
75.1%
720.0 4
 
1.1%
650.0 3
 
0.8%
180.0 3
 
0.8%
230.0 3
 
0.8%
245.0 3
 
0.8%
460.0 3
 
0.8%
620.0 2
 
0.5%
340.0 2
 
0.5%
190.0 2
 
0.5%
Other values (54) 66
 
18.1%
ValueCountFrequency (%)
0.0 274
75.1%
130.0 1
 
0.3%
133.3 1
 
0.3%
140.0 1
 
0.3%
145.0 1
 
0.3%
146.7 1
 
0.3%
170.0 1
 
0.3%
175.0 1
 
0.3%
176.7 1
 
0.3%
180.0 3
 
0.8%
ValueCountFrequency (%)
860.0 1
 
0.3%
780.0 1
 
0.3%
770.0 1
 
0.3%
730.0 2
0.5%
720.0 4
1.1%
690.0 1
 
0.3%
680.0 2
0.5%
650.0 3
0.8%
640.0 2
0.5%
620.0 2
0.5%

분배조_총질소량
Real number (ℝ)

ZEROS 

Distinct92
Distinct (%)25.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8.4469808
Minimum0
Maximum82.88
Zeros274
Zeros (%)75.1%
Negative0
Negative (%)0.0%
Memory size3.3 KiB
2024-03-18T11:43:54.136744image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile37.7716
Maximum82.88
Range82.88
Interquartile range (IQR)0

Descriptive statistics

Standard deviation15.785153
Coefficient of variation (CV)1.8687331
Kurtosis2.7274055
Mean8.4469808
Median Absolute Deviation (MAD)0
Skewness1.7794093
Sum3083.148
Variance249.17104
MonotonicityNot monotonic
2024-03-18T11:43:54.486208image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 274
75.1%
24.3 1
 
0.3%
21.432 1
 
0.3%
29.282 1
 
0.3%
32.316 1
 
0.3%
38.257 1
 
0.3%
33.684 1
 
0.3%
28.199 1
 
0.3%
30.222 1
 
0.3%
18.79 1
 
0.3%
Other values (82) 82
 
22.5%
ValueCountFrequency (%)
0.0 274
75.1%
12.18 1
 
0.3%
12.227 1
 
0.3%
13.956 1
 
0.3%
15.437 1
 
0.3%
17.359 1
 
0.3%
18.79 1
 
0.3%
20.98 1
 
0.3%
21.092 1
 
0.3%
21.432 1
 
0.3%
ValueCountFrequency (%)
82.88 1
0.3%
74.4 1
0.3%
69.48 1
0.3%
68.8 1
0.3%
66.72 1
0.3%
50.793 1
0.3%
46.473 1
0.3%
45.208 1
0.3%
42.217 1
0.3%
42.163 1
0.3%

분배조_총인량
Real number (ℝ)

ZEROS 

Distinct92
Distinct (%)25.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.6009123
Minimum0
Maximum22.912
Zeros274
Zeros (%)75.1%
Negative0
Negative (%)0.0%
Memory size3.3 KiB
2024-03-18T11:43:54.592843image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile8.3398
Maximum22.912
Range22.912
Interquartile range (IQR)0

Descriptive statistics

Standard deviation3.3133434
Coefficient of variation (CV)2.0696595
Kurtosis9.8681481
Mean1.6009123
Median Absolute Deviation (MAD)0
Skewness2.7384829
Sum584.333
Variance10.978245
MonotonicityNot monotonic
2024-03-18T11:43:54.697109image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 274
75.1%
4.155 1
 
0.3%
2.818 1
 
0.3%
4.888 1
 
0.3%
4.989 1
 
0.3%
6.216 1
 
0.3%
4.966 1
 
0.3%
3.888 1
 
0.3%
4.077 1
 
0.3%
2.83 1
 
0.3%
Other values (82) 82
 
22.5%
ValueCountFrequency (%)
0.0 274
75.1%
1.645 1
 
0.3%
2.08 1
 
0.3%
2.213 1
 
0.3%
2.722 1
 
0.3%
2.792 1
 
0.3%
2.818 1
 
0.3%
2.83 1
 
0.3%
2.862 1
 
0.3%
2.947 1
 
0.3%
ValueCountFrequency (%)
22.912 1
0.3%
19.128 1
0.3%
18.78 1
0.3%
18.084 1
0.3%
14.131 1
0.3%
10.631 1
0.3%
10.194 1
0.3%
10.132 1
0.3%
9.25 1
0.3%
9.165 1
0.3%

최초침전지_BOD
Real number (ℝ)

ZEROS 

Distinct88
Distinct (%)24.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean45.943562
Minimum0
Maximum613.5
Zeros276
Zeros (%)75.6%
Negative0
Negative (%)0.0%
Memory size3.3 KiB
2024-03-18T11:43:54.802482image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile232.5
Maximum613.5
Range613.5
Interquartile range (IQR)0

Descriptive statistics

Standard deviation91.185913
Coefficient of variation (CV)1.9847376
Kurtosis5.9925088
Mean45.943562
Median Absolute Deviation (MAD)0
Skewness2.2446939
Sum16769.4
Variance8314.8708
MonotonicityNot monotonic
2024-03-18T11:43:54.904699image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 276
75.6%
182.4 2
 
0.5%
176.6 2
 
0.5%
155.9 1
 
0.3%
172.0 1
 
0.3%
206.6 1
 
0.3%
96.0 1
 
0.3%
197.6 1
 
0.3%
196.9 1
 
0.3%
220.1 1
 
0.3%
Other values (78) 78
 
21.4%
ValueCountFrequency (%)
0.0 276
75.6%
80.6 1
 
0.3%
83.2 1
 
0.3%
91.0 1
 
0.3%
92.3 1
 
0.3%
96.0 1
 
0.3%
100.0 1
 
0.3%
100.5 1
 
0.3%
101.8 1
 
0.3%
102.8 1
 
0.3%
ValueCountFrequency (%)
613.5 1
0.3%
453.8 1
0.3%
369.0 1
0.3%
364.5 1
0.3%
363.0 1
0.3%
340.5 1
0.3%
339.0 1
0.3%
300.0 1
0.3%
291.2 1
0.3%
289.8 1
0.3%

최초침전지_COD
Categorical

CONSTANT 

Distinct1
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size3.0 KiB
0
365 

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 (%)
0 365
100.0%

Length

2024-03-18T11:43:55.002273image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-18T11:43:55.079672image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 365
100.0%

최초침전지_부유물질
Real number (ℝ)

ZEROS 

Distinct54
Distinct (%)14.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean43.386301
Minimum0
Maximum780
Zeros275
Zeros (%)75.3%
Negative0
Negative (%)0.0%
Memory size3.3 KiB
2024-03-18T11:43:55.179808image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile216
Maximum780
Range780
Interquartile range (IQR)0

Descriptive statistics

Standard deviation100.40065
Coefficient of variation (CV)2.3141094
Kurtosis17.067094
Mean43.386301
Median Absolute Deviation (MAD)0
Skewness3.6028495
Sum15836
Variance10080.29
MonotonicityNot monotonic
2024-03-18T11:43:55.296312image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 275
75.3%
120.0 5
 
1.4%
165.0 5
 
1.4%
96.7 4
 
1.1%
110.0 4
 
1.1%
116.7 4
 
1.1%
83.3 3
 
0.8%
86.7 3
 
0.8%
135.0 3
 
0.8%
185.0 3
 
0.8%
Other values (44) 56
 
15.3%
ValueCountFrequency (%)
0.0 275
75.3%
43.3 1
 
0.3%
57.5 1
 
0.3%
65.0 1
 
0.3%
73.3 1
 
0.3%
75.0 1
 
0.3%
76.7 1
 
0.3%
80.0 2
 
0.5%
83.3 3
 
0.8%
85.0 1
 
0.3%
ValueCountFrequency (%)
780.0 1
0.3%
690.0 1
0.3%
640.0 1
0.3%
410.0 1
0.3%
400.0 1
0.3%
395.0 1
0.3%
390.0 1
0.3%
370.0 1
0.3%
360.0 1
0.3%
350.0 1
0.3%

최초침전지_총질소량
Real number (ℝ)

ZEROS 

Distinct91
Distinct (%)24.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8.1313041
Minimum0
Maximum79.84
Zeros275
Zeros (%)75.3%
Negative0
Negative (%)0.0%
Memory size3.3 KiB
2024-03-18T11:43:55.447996image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile36.9888
Maximum79.84
Range79.84
Interquartile range (IQR)0

Descriptive statistics

Standard deviation14.792717
Coefficient of variation (CV)1.8192305
Kurtosis1.1044391
Mean8.1313041
Median Absolute Deviation (MAD)0
Skewness1.4960641
Sum2967.926
Variance218.82447
MonotonicityNot monotonic
2024-03-18T11:43:55.574947image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 275
75.3%
19.709 1
 
0.3%
20.654 1
 
0.3%
31.352 1
 
0.3%
34.791 1
 
0.3%
31.773 1
 
0.3%
32.078 1
 
0.3%
29.693 1
 
0.3%
29.34 1
 
0.3%
18.634 1
 
0.3%
Other values (81) 81
 
22.2%
ValueCountFrequency (%)
0.0 275
75.3%
13.026 1
 
0.3%
15.649 1
 
0.3%
16.261 1
 
0.3%
18.634 1
 
0.3%
19.614 1
 
0.3%
19.709 1
 
0.3%
20.654 1
 
0.3%
21.073 1
 
0.3%
21.604 1
 
0.3%
ValueCountFrequency (%)
79.84 1
0.3%
48.96 1
0.3%
43.483 1
0.3%
43.366 1
0.3%
41.946 1
0.3%
40.94 1
0.3%
40.428 1
0.3%
40.231 1
0.3%
40.067 1
0.3%
39.644 1
0.3%

최초침전지_총인량
Real number (ℝ)

ZEROS 

Distinct90
Distinct (%)24.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.5309945
Minimum0
Maximum23.872
Zeros275
Zeros (%)75.3%
Negative0
Negative (%)0.0%
Memory size3.3 KiB
2024-03-18T11:43:55.694176image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile7.6782
Maximum23.872
Range23.872
Interquartile range (IQR)0

Descriptive statistics

Standard deviation3.0199029
Coefficient of variation (CV)1.9725106
Kurtosis8.721351
Mean1.5309945
Median Absolute Deviation (MAD)0
Skewness2.4059394
Sum558.813
Variance9.1198136
MonotonicityNot monotonic
2024-03-18T11:43:55.812021image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 275
75.3%
5.039 2
 
0.5%
3.069 1
 
0.3%
5.757 1
 
0.3%
5.596 1
 
0.3%
5.368 1
 
0.3%
4.906 1
 
0.3%
4.239 1
 
0.3%
4.55 1
 
0.3%
3.025 1
 
0.3%
Other values (80) 80
 
21.9%
ValueCountFrequency (%)
0.0 275
75.3%
2.595 1
 
0.3%
2.769 1
 
0.3%
2.863 1
 
0.3%
2.948 1
 
0.3%
3.025 1
 
0.3%
3.045 1
 
0.3%
3.069 1
 
0.3%
3.077 1
 
0.3%
3.385 1
 
0.3%
ValueCountFrequency (%)
23.872 1
0.3%
13.091 1
0.3%
11.297 1
0.3%
10.15 1
0.3%
9.966 1
0.3%
9.828 1
0.3%
9.772 1
0.3%
9.595 1
0.3%
9.312 1
0.3%
8.911 1
0.3%

최초침전지_대장균군
Categorical

CONSTANT 

Distinct1
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size3.0 KiB
0
365 

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 (%)
0 365
100.0%

Length

2024-03-18T11:43:55.929228image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-18T11:43:56.034594image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 365
100.0%

수질1계열_수온
Real number (ℝ)

ZEROS 

Distinct66
Distinct (%)18.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.469589
Minimum0
Maximum27.2
Zeros282
Zeros (%)77.3%
Negative0
Negative (%)0.0%
Memory size3.3 KiB
2024-03-18T11:43:56.129302image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile24.68
Maximum27.2
Range27.2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation8.5692416
Coefficient of variation (CV)1.9172326
Kurtosis0.71594539
Mean4.469589
Median Absolute Deviation (MAD)0
Skewness1.5501305
Sum1631.4
Variance73.431902
MonotonicityNot monotonic
2024-03-18T11:43:56.249439image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 282
77.3%
13.1 3
 
0.8%
18.3 2
 
0.5%
26.9 2
 
0.5%
26.4 2
 
0.5%
25.2 2
 
0.5%
25.0 2
 
0.5%
25.1 2
 
0.5%
21.2 2
 
0.5%
21.1 2
 
0.5%
Other values (56) 64
 
17.5%
ValueCountFrequency (%)
0.0 282
77.3%
11.8 1
 
0.3%
12.0 2
 
0.5%
12.1 1
 
0.3%
12.4 1
 
0.3%
12.5 2
 
0.5%
12.7 1
 
0.3%
12.8 1
 
0.3%
12.9 1
 
0.3%
13.0 1
 
0.3%
ValueCountFrequency (%)
27.2 1
0.3%
26.9 2
0.5%
26.6 1
0.3%
26.5 1
0.3%
26.4 2
0.5%
26.3 2
0.5%
26.2 1
0.3%
25.4 1
0.3%
25.2 2
0.5%
25.1 2
0.5%
Distinct57
Distinct (%)15.6%
Missing0
Missing (%)0.0%
Memory size3.0 KiB
2024-03-18T11:43:56.402242image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length4
Median length1
Mean length1.569863
Min length1

Characters and Unicode

Total characters573
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique35 ?
Unique (%)9.6%

Sample

1st row0
2nd row0
3rd row13.1
4th row0
5th row0
ValueCountFrequency (%)
0 283
77.5%
6
 
1.6%
13.1 3
 
0.8%
12.4 2
 
0.5%
25.2 2
 
0.5%
25.1 2
 
0.5%
25 2
 
0.5%
26.5 2
 
0.5%
22 2
 
0.5%
18.3 2
 
0.5%
Other values (47) 59
 
16.2%
2024-03-18T11:43:56.666209image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 287
50.1%
. 66
 
11.5%
1 61
 
10.6%
2 52
 
9.1%
3 22
 
3.8%
6 19
 
3.3%
9 18
 
3.1%
5 17
 
3.0%
8 11
 
1.9%
4 10
 
1.7%
Other values (2) 10
 
1.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 501
87.4%
Other Punctuation 66
 
11.5%
Dash Punctuation 6
 
1.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 287
57.3%
1 61
 
12.2%
2 52
 
10.4%
3 22
 
4.4%
6 19
 
3.8%
9 18
 
3.6%
5 17
 
3.4%
8 11
 
2.2%
4 10
 
2.0%
7 4
 
0.8%
Other Punctuation
ValueCountFrequency (%)
. 66
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 6
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 573
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 287
50.1%
. 66
 
11.5%
1 61
 
10.6%
2 52
 
9.1%
3 22
 
3.8%
6 19
 
3.3%
9 18
 
3.1%
5 17
 
3.0%
8 11
 
1.9%
4 10
 
1.7%
Other values (2) 10
 
1.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 573
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 287
50.1%
. 66
 
11.5%
1 61
 
10.6%
2 52
 
9.1%
3 22
 
3.8%
6 19
 
3.3%
9 18
 
3.1%
5 17
 
3.0%
8 11
 
1.9%
4 10
 
1.7%
Other values (2) 10
 
1.7%

수질3계열_수온
Real number (ℝ)

ZEROS 

Distinct66
Distinct (%)18.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.4589041
Minimum0
Maximum27.3
Zeros282
Zeros (%)77.3%
Negative0
Negative (%)0.0%
Memory size3.3 KiB
2024-03-18T11:43:56.782209image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile24.76
Maximum27.3
Range27.3
Interquartile range (IQR)0

Descriptive statistics

Standard deviation8.5533818
Coefficient of variation (CV)1.9182699
Kurtosis0.72895642
Mean4.4589041
Median Absolute Deviation (MAD)0
Skewness1.5532684
Sum1627.5
Variance73.160339
MonotonicityNot monotonic
2024-03-18T11:43:56.891872image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 282
77.3%
19.8 2
 
0.5%
26.6 2
 
0.5%
24.9 2
 
0.5%
25.2 2
 
0.5%
25.1 2
 
0.5%
26.3 2
 
0.5%
22.9 2
 
0.5%
22.5 2
 
0.5%
24.8 2
 
0.5%
Other values (56) 65
 
17.8%
ValueCountFrequency (%)
0.0 282
77.3%
11.9 2
 
0.5%
12.0 2
 
0.5%
12.3 1
 
0.3%
12.4 2
 
0.5%
12.5 1
 
0.3%
12.7 1
 
0.3%
12.8 1
 
0.3%
12.9 2
 
0.5%
13.0 1
 
0.3%
ValueCountFrequency (%)
27.3 1
0.3%
27.0 1
0.3%
26.8 1
0.3%
26.6 2
0.5%
26.5 1
0.3%
26.4 1
0.3%
26.3 2
0.5%
26.0 1
0.3%
25.2 2
0.5%
25.1 2
0.5%

수질4계열_수온
Real number (ℝ)

ZEROS 

Distinct60
Distinct (%)16.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.4679452
Minimum0
Maximum27.2
Zeros282
Zeros (%)77.3%
Negative0
Negative (%)0.0%
Memory size3.3 KiB
2024-03-18T11:43:57.001811image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile24.72
Maximum27.2
Range27.2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation8.5530495
Coefficient of variation (CV)1.9143139
Kurtosis0.67505896
Mean4.4679452
Median Absolute Deviation (MAD)0
Skewness1.5406094
Sum1630.8
Variance73.154656
MonotonicityNot monotonic
2024-03-18T11:43:57.117120image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 282
77.3%
20.0 4
 
1.1%
25.0 3
 
0.8%
21.4 3
 
0.8%
21.5 3
 
0.8%
22.0 3
 
0.8%
24.8 3
 
0.8%
13.3 3
 
0.8%
26.4 2
 
0.5%
15.2 2
 
0.5%
Other values (50) 57
 
15.6%
ValueCountFrequency (%)
0.0 282
77.3%
11.7 1
 
0.3%
12.1 1
 
0.3%
12.2 2
 
0.5%
12.7 2
 
0.5%
12.8 1
 
0.3%
12.9 2
 
0.5%
13.0 1
 
0.3%
13.1 2
 
0.5%
13.2 1
 
0.3%
ValueCountFrequency (%)
27.2 1
0.3%
27.0 1
0.3%
26.5 1
0.3%
26.4 2
0.5%
26.2 1
0.3%
26.1 1
0.3%
26.0 1
0.3%
25.9 1
0.3%
25.8 1
0.3%
25.2 2
0.5%

방류수_수온
Real number (ℝ)

Distinct137
Distinct (%)37.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean19.554247
Minimum9.9
Maximum27.2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.3 KiB
2024-03-18T11:43:57.237038image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum9.9
5-th percentile11.9
Q114.3
median20.3
Q324.6
95-th percentile26.5
Maximum27.2
Range17.3
Interquartile range (IQR)10.3

Descriptive statistics

Standard deviation5.2215598
Coefficient of variation (CV)0.26702945
Kurtosis-1.404666
Mean19.554247
Median Absolute Deviation (MAD)4.7
Skewness-0.21409002
Sum7137.3
Variance27.264687
MonotonicityNot monotonic
2024-03-18T11:43:57.345460image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
12.5 9
 
2.5%
25.0 9
 
2.5%
11.9 9
 
2.5%
20.0 8
 
2.2%
12.0 8
 
2.2%
16.0 7
 
1.9%
12.7 7
 
1.9%
24.8 6
 
1.6%
21.0 6
 
1.6%
26.5 6
 
1.6%
Other values (127) 290
79.5%
ValueCountFrequency (%)
9.9 1
 
0.3%
10.7 1
 
0.3%
10.8 1
 
0.3%
10.9 1
 
0.3%
11.0 1
 
0.3%
11.1 1
 
0.3%
11.5 2
 
0.5%
11.7 4
1.1%
11.8 2
 
0.5%
11.9 9
2.5%
ValueCountFrequency (%)
27.2 2
 
0.5%
27.1 2
 
0.5%
27.0 3
0.8%
26.9 1
 
0.3%
26.8 1
 
0.3%
26.7 3
0.8%
26.6 2
 
0.5%
26.5 6
1.6%
26.4 4
1.1%
26.3 1
 
0.3%

방류수_수소농도
Real number (ℝ)

Distinct10
Distinct (%)2.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.6364384
Minimum6.2
Maximum7.1
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.3 KiB
2024-03-18T11:43:57.450585image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum6.2
5-th percentile6.4
Q16.5
median6.6
Q36.8
95-th percentile6.9
Maximum7.1
Range0.9
Interquartile range (IQR)0.3

Descriptive statistics

Standard deviation0.17794129
Coefficient of variation (CV)0.02681277
Kurtosis-0.07684919
Mean6.6364384
Median Absolute Deviation (MAD)0.1
Skewness0.34783471
Sum2422.3
Variance0.031663104
MonotonicityNot monotonic
2024-03-18T11:43:57.570379image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
6.6 84
23.0%
6.5 74
20.3%
6.7 62
17.0%
6.8 53
14.5%
6.4 34
9.3%
6.9 29
 
7.9%
6.3 14
 
3.8%
7.1 10
 
2.7%
7.0 4
 
1.1%
6.2 1
 
0.3%
ValueCountFrequency (%)
6.2 1
 
0.3%
6.3 14
 
3.8%
6.4 34
9.3%
6.5 74
20.3%
6.6 84
23.0%
6.7 62
17.0%
6.8 53
14.5%
6.9 29
 
7.9%
7.0 4
 
1.1%
7.1 10
 
2.7%
ValueCountFrequency (%)
7.1 10
 
2.7%
7.0 4
 
1.1%
6.9 29
 
7.9%
6.8 53
14.5%
6.7 62
17.0%
6.6 84
23.0%
6.5 74
20.3%
6.4 34
9.3%
6.3 14
 
3.8%
6.2 1
 
0.3%

방류수_용존산소량
Categorical

CONSTANT 

Distinct1
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size3.0 KiB
0
365 

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 (%)
0 365
100.0%

Length

2024-03-18T11:43:57.710631image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-18T11:43:57.830688image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 365
100.0%
Distinct219
Distinct (%)60.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean16.815342
Minimum1.1
Maximum69.4
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.3 KiB
2024-03-18T11:43:57.941803image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1.1
5-th percentile4.62
Q19.2
median14.3
Q321.4
95-th percentile35.88
Maximum69.4
Range68.3
Interquartile range (IQR)12.2

Descriptive statistics

Standard deviation10.638771
Coefficient of variation (CV)0.63268238
Kurtosis3.4065047
Mean16.815342
Median Absolute Deviation (MAD)5.5
Skewness1.5398356
Sum6137.6
Variance113.18345
MonotonicityNot monotonic
2024-03-18T11:43:58.069450image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
11.2 6
 
1.6%
8.0 5
 
1.4%
18.5 5
 
1.4%
11.3 5
 
1.4%
8.9 5
 
1.4%
9.1 4
 
1.1%
15.2 4
 
1.1%
17.3 4
 
1.1%
14.0 4
 
1.1%
13.4 4
 
1.1%
Other values (209) 319
87.4%
ValueCountFrequency (%)
1.1 1
0.3%
1.3 1
0.3%
1.4 1
0.3%
2.0 1
0.3%
2.2 1
0.3%
2.4 2
0.5%
2.6 1
0.3%
2.7 1
0.3%
2.9 1
0.3%
3.0 1
0.3%
ValueCountFrequency (%)
69.4 1
0.3%
61.8 1
0.3%
56.8 1
0.3%
56.6 1
0.3%
55.1 1
0.3%
54.2 1
0.3%
49.6 1
0.3%
48.4 1
0.3%
45.1 1
0.3%
41.9 1
0.3%

방류수_화학적산소요구량
Real number (ℝ)

ZEROS 

Distinct56
Distinct (%)15.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.1216438
Minimum0
Maximum36.7
Zeros286
Zeros (%)78.4%
Negative0
Negative (%)0.0%
Memory size3.3 KiB
2024-03-18T11:43:58.206460image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile10.88
Maximum36.7
Range36.7
Interquartile range (IQR)0

Descriptive statistics

Standard deviation4.445296
Coefficient of variation (CV)2.0952131
Kurtosis10.455077
Mean2.1216438
Median Absolute Deviation (MAD)0
Skewness2.5825933
Sum774.4
Variance19.760657
MonotonicityNot monotonic
2024-03-18T11:43:58.603253image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 286
78.4%
8.4 4
 
1.1%
11.3 3
 
0.8%
8.1 3
 
0.8%
7.2 3
 
0.8%
9.8 3
 
0.8%
10.6 3
 
0.8%
6.0 2
 
0.5%
9.1 2
 
0.5%
15.3 2
 
0.5%
Other values (46) 54
 
14.8%
ValueCountFrequency (%)
0.0 286
78.4%
5.6 1
 
0.3%
5.8 1
 
0.3%
5.9 2
 
0.5%
6.0 2
 
0.5%
6.2 2
 
0.5%
6.6 2
 
0.5%
6.8 1
 
0.3%
6.9 1
 
0.3%
7.0 1
 
0.3%
ValueCountFrequency (%)
36.7 1
0.3%
17.7 1
0.3%
17.4 1
0.3%
16.4 1
0.3%
15.3 2
0.5%
13.8 1
0.3%
12.3 1
0.3%
11.9 1
0.3%
11.7 1
0.3%
11.6 1
0.3%

방류수_부유물질
Real number (ℝ)

Distinct107
Distinct (%)29.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9.1142466
Minimum2.3
Maximum47.1
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.3 KiB
2024-03-18T11:43:58.722932image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2.3
5-th percentile4.4
Q16
median7.7
Q310
95-th percentile19.3
Maximum47.1
Range44.8
Interquartile range (IQR)4

Descriptive statistics

Standard deviation5.7915735
Coefficient of variation (CV)0.63544183
Kurtosis14.080094
Mean9.1142466
Median Absolute Deviation (MAD)2
Skewness3.2714756
Sum3326.7
Variance33.542324
MonotonicityNot monotonic
2024-03-18T11:43:58.830683image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
8.0 18
 
4.9%
6.8 14
 
3.8%
7.7 12
 
3.3%
8.3 12
 
3.3%
10.0 11
 
3.0%
6.0 9
 
2.5%
9.6 8
 
2.2%
8.7 8
 
2.2%
7.0 8
 
2.2%
4.4 8
 
2.2%
Other values (97) 257
70.4%
ValueCountFrequency (%)
2.3 1
 
0.3%
3.4 1
 
0.3%
3.5 1
 
0.3%
3.7 1
 
0.3%
4.0 1
 
0.3%
4.1 3
 
0.8%
4.2 5
1.4%
4.3 3
 
0.8%
4.4 8
2.2%
4.5 3
 
0.8%
ValueCountFrequency (%)
47.1 1
0.3%
43.3 1
0.3%
40.0 1
0.3%
38.7 1
0.3%
37.8 1
0.3%
31.3 1
0.3%
30.0 1
0.3%
27.3 2
0.5%
26.0 1
0.3%
25.0 2
0.5%

방류수_총질소량
Real number (ℝ)

Distinct361
Distinct (%)98.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean12.328121
Minimum3.714
Maximum26.726
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.3 KiB
2024-03-18T11:43:58.937027image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3.714
5-th percentile6.9148
Q19.988
median12.074
Q314.321
95-th percentile18.6066
Maximum26.726
Range23.012
Interquartile range (IQR)4.333

Descriptive statistics

Standard deviation3.4555009
Coefficient of variation (CV)0.28029422
Kurtosis0.48134034
Mean12.328121
Median Absolute Deviation (MAD)2.125
Skewness0.44131102
Sum4499.764
Variance11.940486
MonotonicityNot monotonic
2024-03-18T11:43:59.042211image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
10.447 2
 
0.5%
12.468 2
 
0.5%
10.239 2
 
0.5%
11.075 2
 
0.5%
10.03 1
 
0.3%
9.019 1
 
0.3%
8.697 1
 
0.3%
8.8 1
 
0.3%
7.11 1
 
0.3%
5.668 1
 
0.3%
Other values (351) 351
96.2%
ValueCountFrequency (%)
3.714 1
0.3%
4.539 1
0.3%
4.939 1
0.3%
5.01 1
0.3%
5.338 1
0.3%
5.415 1
0.3%
5.668 1
0.3%
5.894 1
0.3%
6.076 1
0.3%
6.206 1
0.3%
ValueCountFrequency (%)
26.726 1
0.3%
22.14 1
0.3%
20.872 1
0.3%
20.187 1
0.3%
20.173 1
0.3%
20.167 1
0.3%
20.149 1
0.3%
20.107 1
0.3%
19.806 1
0.3%
19.755 1
0.3%

방류수_총인량
Real number (ℝ)

Distinct301
Distinct (%)82.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.68937808
Minimum0.128
Maximum5.087
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.3 KiB
2024-03-18T11:43:59.150083image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0.128
5-th percentile0.2414
Q10.424
median0.588
Q30.787
95-th percentile1.4858
Maximum5.087
Range4.959
Interquartile range (IQR)0.363

Descriptive statistics

Standard deviation0.47926643
Coefficient of variation (CV)0.69521564
Kurtosis24.994174
Mean0.68937808
Median Absolute Deviation (MAD)0.179
Skewness3.7905638
Sum251.623
Variance0.22969631
MonotonicityNot monotonic
2024-03-18T11:43:59.276250image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.472 3
 
0.8%
0.582 3
 
0.8%
0.297 3
 
0.8%
0.365 3
 
0.8%
0.557 3
 
0.8%
0.649 3
 
0.8%
0.535 3
 
0.8%
0.622 2
 
0.5%
0.608 2
 
0.5%
1.214 2
 
0.5%
Other values (291) 338
92.6%
ValueCountFrequency (%)
0.128 1
0.3%
0.144 1
0.3%
0.149 1
0.3%
0.152 1
0.3%
0.17 1
0.3%
0.174 1
0.3%
0.178 1
0.3%
0.186 1
0.3%
0.189 1
0.3%
0.194 1
0.3%
ValueCountFrequency (%)
5.087 1
0.3%
3.791 1
0.3%
2.762 1
0.3%
2.477 1
0.3%
2.377 1
0.3%
2.219 1
0.3%
1.954 1
0.3%
1.805 1
0.3%
1.798 1
0.3%
1.773 1
0.3%

방류수_대장균군
Real number (ℝ)

ZEROS 

Distinct115
Distinct (%)31.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean980.79452
Minimum0
Maximum28000
Zeros139
Zeros (%)38.1%
Negative0
Negative (%)0.0%
Memory size3.3 KiB
2024-03-18T11:43:59.381102image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median5
Q3990
95-th percentile4880
Maximum28000
Range28000
Interquartile range (IQR)990

Descriptive statistics

Standard deviation2650.6542
Coefficient of variation (CV)2.7025581
Kurtosis55.810576
Mean980.79452
Median Absolute Deviation (MAD)5
Skewness6.4134897
Sum357990
Variance7025967.6
MonotonicityNot monotonic
2024-03-18T11:43:59.484233image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 139
38.1%
1 23
 
6.3%
2 9
 
2.5%
1100 7
 
1.9%
3 7
 
1.9%
3000 6
 
1.6%
1500 6
 
1.6%
1700 5
 
1.4%
5 5
 
1.4%
7 4
 
1.1%
Other values (105) 154
42.2%
ValueCountFrequency (%)
0 139
38.1%
1 23
 
6.3%
2 9
 
2.5%
3 7
 
1.9%
4 3
 
0.8%
5 5
 
1.4%
6 1
 
0.3%
7 4
 
1.1%
9 1
 
0.3%
10 1
 
0.3%
ValueCountFrequency (%)
28000 1
0.3%
27000 1
0.3%
12000 1
0.3%
11000 1
0.3%
9100 1
0.3%
8900 1
0.3%
8300 1
0.3%
8100 1
0.3%
7500 1
0.3%
7100 1
0.3%

포기조1계열_슬러지부피
Real number (ℝ)

ZEROS 

Distinct37
Distinct (%)10.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean10.852055
Minimum0
Maximum65
Zeros267
Zeros (%)73.2%
Negative0
Negative (%)0.0%
Memory size3.3 KiB
2024-03-18T11:43:59.588622image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q329
95-th percentile50
Maximum65
Range65
Interquartile range (IQR)29

Descriptive statistics

Standard deviation18.658882
Coefficient of variation (CV)1.719387
Kurtosis0.11763134
Mean10.852055
Median Absolute Deviation (MAD)0
Skewness1.3111094
Sum3961
Variance348.15388
MonotonicityNot monotonic
2024-03-18T11:43:59.686791image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=37)
ValueCountFrequency (%)
0 267
73.2%
38 8
 
2.2%
33 6
 
1.6%
41 6
 
1.6%
40 5
 
1.4%
32 5
 
1.4%
43 5
 
1.4%
34 5
 
1.4%
60 4
 
1.1%
39 4
 
1.1%
Other values (27) 50
 
13.7%
ValueCountFrequency (%)
0 267
73.2%
16 1
 
0.3%
19 1
 
0.3%
23 2
 
0.5%
25 1
 
0.3%
28 1
 
0.3%
29 3
 
0.8%
30 2
 
0.5%
31 3
 
0.8%
32 5
 
1.4%
ValueCountFrequency (%)
65 1
 
0.3%
62 1
 
0.3%
60 4
1.1%
59 2
0.5%
58 1
 
0.3%
57 1
 
0.3%
55 2
0.5%
53 1
 
0.3%
52 2
0.5%
51 3
0.8%
Distinct70
Distinct (%)19.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean926.9863
Minimum0
Maximum4940
Zeros271
Zeros (%)74.2%
Negative0
Negative (%)0.0%
Memory size3.3 KiB
2024-03-18T11:43:59.842413image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q32180
95-th percentile4276
Maximum4940
Range4940
Interquartile range (IQR)2180

Descriptive statistics

Standard deviation1613.3198
Coefficient of variation (CV)1.7403923
Kurtosis-0.23897481
Mean926.9863
Median Absolute Deviation (MAD)0
Skewness1.2569858
Sum338350
Variance2602800.8
MonotonicityNot monotonic
2024-03-18T11:43:59.970397image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 271
74.2%
3320 3
 
0.8%
3220 3
 
0.8%
4000 3
 
0.8%
3720 2
 
0.5%
2860 2
 
0.5%
3340 2
 
0.5%
3000 2
 
0.5%
2920 2
 
0.5%
4080 2
 
0.5%
Other values (60) 73
 
20.0%
ValueCountFrequency (%)
0 271
74.2%
1660 1
 
0.3%
1740 1
 
0.3%
2180 2
 
0.5%
2200 1
 
0.3%
2340 1
 
0.3%
2700 1
 
0.3%
2760 1
 
0.3%
2820 1
 
0.3%
2860 2
 
0.5%
ValueCountFrequency (%)
4940 1
0.3%
4680 2
0.5%
4660 1
0.3%
4600 1
0.3%
4540 1
0.3%
4500 1
0.3%
4460 2
0.5%
4420 1
0.3%
4400 1
0.3%
4380 1
0.3%
Distinct47
Distinct (%)12.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean28.821918
Minimum0
Maximum146
Zeros271
Zeros (%)74.2%
Negative0
Negative (%)0.0%
Memory size3.3 KiB
2024-03-18T11:44:00.080995image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q390
95-th percentile124.8
Maximum146
Range146
Interquartile range (IQR)90

Descriptive statistics

Standard deviation49.752227
Coefficient of variation (CV)1.7261942
Kurtosis-0.46902322
Mean28.821918
Median Absolute Deviation (MAD)0
Skewness1.1955877
Sum10520
Variance2475.2841
MonotonicityNot monotonic
2024-03-18T11:44:00.190194image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=47)
ValueCountFrequency (%)
0 271
74.2%
120 5
 
1.4%
112 5
 
1.4%
127 4
 
1.1%
102 4
 
1.1%
114 4
 
1.1%
119 4
 
1.1%
105 4
 
1.1%
99 4
 
1.1%
108 4
 
1.1%
Other values (37) 56
 
15.3%
ValueCountFrequency (%)
0 271
74.2%
13 1
 
0.3%
83 1
 
0.3%
90 2
 
0.5%
93 2
 
0.5%
94 2
 
0.5%
95 1
 
0.3%
96 2
 
0.5%
97 1
 
0.3%
98 1
 
0.3%
ValueCountFrequency (%)
146 1
0.3%
141 1
0.3%
139 2
0.5%
138 2
0.5%
137 1
0.3%
136 1
0.3%
135 1
0.3%
133 1
0.3%
132 1
0.3%
131 1
0.3%

포기조2계열_슬러지부피
Real number (ℝ)

ZEROS 

Distinct43
Distinct (%)11.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean10.515068
Minimum0
Maximum72
Zeros273
Zeros (%)74.8%
Negative0
Negative (%)0.0%
Memory size3.3 KiB
2024-03-18T11:44:00.358031image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q316
95-th percentile50.8
Maximum72
Range72
Interquartile range (IQR)16

Descriptive statistics

Standard deviation19.083331
Coefficient of variation (CV)1.8148556
Kurtosis0.71294659
Mean10.515068
Median Absolute Deviation (MAD)0
Skewness1.4847345
Sum3838
Variance364.17354
MonotonicityNot monotonic
2024-03-18T11:44:00.484148image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=43)
ValueCountFrequency (%)
0 273
74.8%
50 5
 
1.4%
36 5
 
1.4%
45 4
 
1.1%
58 4
 
1.1%
29 4
 
1.1%
42 4
 
1.1%
43 4
 
1.1%
34 4
 
1.1%
37 3
 
0.8%
Other values (33) 55
 
15.1%
ValueCountFrequency (%)
0 273
74.8%
16 1
 
0.3%
22 2
 
0.5%
24 1
 
0.3%
25 1
 
0.3%
26 3
 
0.8%
27 1
 
0.3%
28 3
 
0.8%
29 4
 
1.1%
30 3
 
0.8%
ValueCountFrequency (%)
72 1
 
0.3%
68 1
 
0.3%
67 2
0.5%
64 1
 
0.3%
63 1
 
0.3%
60 1
 
0.3%
59 1
 
0.3%
58 4
1.1%
56 2
0.5%
55 1
 
0.3%
Distinct60
Distinct (%)16.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean886.9863
Minimum0
Maximum5040
Zeros278
Zeros (%)76.2%
Negative0
Negative (%)0.0%
Memory size3.3 KiB
2024-03-18T11:44:00.603775image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile4216
Maximum5040
Range5040
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1623.3657
Coefficient of variation (CV)1.8302038
Kurtosis0.07126524
Mean886.9863
Median Absolute Deviation (MAD)0
Skewness1.3734774
Sum323750
Variance2635316.2
MonotonicityNot monotonic
2024-03-18T11:44:00.724764image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 278
76.2%
3800 4
 
1.1%
4060 4
 
1.1%
3020 3
 
0.8%
3620 3
 
0.8%
3920 3
 
0.8%
3220 2
 
0.5%
4880 2
 
0.5%
3480 2
 
0.5%
3540 2
 
0.5%
Other values (50) 62
 
17.0%
ValueCountFrequency (%)
0 278
76.2%
1800 2
 
0.5%
2220 1
 
0.3%
2260 1
 
0.3%
2460 1
 
0.3%
2520 1
 
0.3%
2620 1
 
0.3%
2880 1
 
0.3%
2900 1
 
0.3%
2960 1
 
0.3%
ValueCountFrequency (%)
5040 1
0.3%
4880 2
0.5%
4840 1
0.3%
4820 1
0.3%
4760 1
0.3%
4720 1
0.3%
4660 1
0.3%
4640 1
0.3%
4580 1
0.3%
4550 1
0.3%
Distinct48
Distinct (%)13.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean26.90137
Minimum0
Maximum161
Zeros278
Zeros (%)76.2%
Negative0
Negative (%)0.0%
Memory size3.3 KiB
2024-03-18T11:44:00.830324image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile126.8
Maximum161
Range161
Interquartile range (IQR)0

Descriptive statistics

Standard deviation48.896461
Coefficient of variation (CV)1.8176197
Kurtosis-0.014611507
Mean26.90137
Median Absolute Deviation (MAD)0
Skewness1.3431366
Sum9819
Variance2390.8639
MonotonicityNot monotonic
2024-03-18T11:44:00.955532image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=48)
ValueCountFrequency (%)
0 278
76.2%
103 6
 
1.6%
100 4
 
1.1%
113 4
 
1.1%
106 4
 
1.1%
89 3
 
0.8%
104 3
 
0.8%
135 3
 
0.8%
99 3
 
0.8%
116 3
 
0.8%
Other values (38) 54
 
14.8%
ValueCountFrequency (%)
0 278
76.2%
81 2
 
0.5%
83 1
 
0.3%
85 1
 
0.3%
87 1
 
0.3%
88 1
 
0.3%
89 3
 
0.8%
93 1
 
0.3%
94 1
 
0.3%
95 1
 
0.3%
ValueCountFrequency (%)
161 2
0.5%
149 1
 
0.3%
144 1
 
0.3%
141 1
 
0.3%
140 1
 
0.3%
139 1
 
0.3%
137 2
0.5%
136 1
 
0.3%
135 3
0.8%
133 1
 
0.3%

포기조3계열_슬러지부피
Real number (ℝ)

ZEROS 

Distinct37
Distinct (%)10.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8.2438356
Minimum0
Maximum56
Zeros267
Zeros (%)73.2%
Negative0
Negative (%)0.0%
Memory size3.3 KiB
2024-03-18T11:44:01.064973image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q319
95-th percentile40
Maximum56
Range56
Interquartile range (IQR)19

Descriptive statistics

Standard deviation14.475187
Coefficient of variation (CV)1.7558801
Kurtosis0.74907033
Mean8.2438356
Median Absolute Deviation (MAD)0
Skewness1.4565757
Sum3009
Variance209.53104
MonotonicityNot monotonic
2024-03-18T11:44:01.164754image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=37)
ValueCountFrequency (%)
0 267
73.2%
22 9
 
2.5%
25 7
 
1.9%
29 6
 
1.6%
24 4
 
1.1%
28 4
 
1.1%
27 4
 
1.1%
32 4
 
1.1%
26 4
 
1.1%
42 4
 
1.1%
Other values (27) 52
 
14.2%
ValueCountFrequency (%)
0 267
73.2%
13 1
 
0.3%
16 1
 
0.3%
17 1
 
0.3%
18 2
 
0.5%
19 2
 
0.5%
20 3
 
0.8%
21 3
 
0.8%
22 9
 
2.5%
23 3
 
0.8%
ValueCountFrequency (%)
56 1
 
0.3%
54 1
 
0.3%
52 1
 
0.3%
50 2
0.5%
47 1
 
0.3%
46 4
1.1%
45 1
 
0.3%
44 1
 
0.3%
42 4
1.1%
41 1
 
0.3%
Distinct73
Distinct (%)20.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean790.9589
Minimum0
Maximum4380
Zeros271
Zeros (%)74.2%
Negative0
Negative (%)0.0%
Memory size3.3 KiB
2024-03-18T11:44:01.274817image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31840
95-th percentile3740
Maximum4380
Range4380
Interquartile range (IQR)1840

Descriptive statistics

Standard deviation1387.7187
Coefficient of variation (CV)1.7544763
Kurtosis-0.012290638
Mean790.9589
Median Absolute Deviation (MAD)0
Skewness1.3129269
Sum288700
Variance1925763.1
MonotonicityNot monotonic
2024-03-18T11:44:01.392889image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 271
74.2%
3240 3
 
0.8%
2240 3
 
0.8%
3220 3
 
0.8%
3840 2
 
0.5%
2700 2
 
0.5%
2460 2
 
0.5%
2740 2
 
0.5%
2160 2
 
0.5%
2220 2
 
0.5%
Other values (63) 73
 
20.0%
ValueCountFrequency (%)
0 271
74.2%
1500 1
 
0.3%
1700 1
 
0.3%
1840 1
 
0.3%
1980 2
 
0.5%
2040 1
 
0.3%
2160 2
 
0.5%
2200 1
 
0.3%
2220 2
 
0.5%
2240 3
 
0.8%
ValueCountFrequency (%)
4380 1
0.3%
4280 1
0.3%
4240 1
0.3%
4200 1
0.3%
4140 1
0.3%
4100 1
0.3%
4060 1
0.3%
3980 1
0.3%
3960 1
0.3%
3940 2
0.5%
Distinct41
Distinct (%)11.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean25.706849
Minimum0
Maximum135
Zeros271
Zeros (%)74.2%
Negative0
Negative (%)0.0%
Memory size3.3 KiB
2024-03-18T11:44:01.718118image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q382
95-th percentile109.6
Maximum135
Range135
Interquartile range (IQR)82

Descriptive statistics

Standard deviation44.130103
Coefficient of variation (CV)1.7166671
Kurtosis-0.48594279
Mean25.706849
Median Absolute Deviation (MAD)0
Skewness1.1829187
Sum9383
Variance1947.466
MonotonicityNot monotonic
2024-03-18T11:44:01.848208image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=41)
ValueCountFrequency (%)
0 271
74.2%
91 7
 
1.9%
92 6
 
1.6%
89 6
 
1.6%
98 5
 
1.4%
99 5
 
1.4%
95 4
 
1.1%
94 4
 
1.1%
103 4
 
1.1%
97 4
 
1.1%
Other values (31) 49
 
13.4%
ValueCountFrequency (%)
0 271
74.2%
77 1
 
0.3%
79 1
 
0.3%
82 3
 
0.8%
86 1
 
0.3%
87 1
 
0.3%
88 2
 
0.5%
89 6
 
1.6%
90 1
 
0.3%
91 7
 
1.9%
ValueCountFrequency (%)
135 1
0.3%
132 1
0.3%
127 2
0.5%
126 1
0.3%
123 1
0.3%
121 1
0.3%
120 2
0.5%
118 2
0.5%
117 1
0.3%
115 1
0.3%

포기조4계열_슬러지부피
Real number (ℝ)

ZEROS 

Distinct40
Distinct (%)11.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8.8493151
Minimum0
Maximum73
Zeros269
Zeros (%)73.7%
Negative0
Negative (%)0.0%
Memory size3.3 KiB
2024-03-18T11:44:01.972286image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q318
95-th percentile43.8
Maximum73
Range73
Interquartile range (IQR)18

Descriptive statistics

Standard deviation15.886679
Coefficient of variation (CV)1.7952439
Kurtosis1.178081
Mean8.8493151
Median Absolute Deviation (MAD)0
Skewness1.5477224
Sum3230
Variance252.38657
MonotonicityNot monotonic
2024-03-18T11:44:02.117537image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=40)
ValueCountFrequency (%)
0 269
73.7%
28 8
 
2.2%
46 6
 
1.6%
25 6
 
1.6%
30 5
 
1.4%
31 5
 
1.4%
32 4
 
1.1%
40 4
 
1.1%
38 4
 
1.1%
35 3
 
0.8%
Other values (30) 51
 
14.0%
ValueCountFrequency (%)
0 269
73.7%
13 1
 
0.3%
14 1
 
0.3%
16 1
 
0.3%
18 3
 
0.8%
19 3
 
0.8%
20 1
 
0.3%
21 1
 
0.3%
22 3
 
0.8%
23 1
 
0.3%
ValueCountFrequency (%)
73 1
 
0.3%
60 1
 
0.3%
58 1
 
0.3%
54 3
0.8%
53 1
 
0.3%
51 1
 
0.3%
48 1
 
0.3%
47 1
 
0.3%
46 6
1.6%
45 1
 
0.3%
Distinct69
Distinct (%)18.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean826.52055
Minimum0
Maximum4960
Zeros271
Zeros (%)74.2%
Negative0
Negative (%)0.0%
Memory size3.3 KiB
2024-03-18T11:44:02.226415image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31700
95-th percentile3836
Maximum4960
Range4960
Interquartile range (IQR)1700

Descriptive statistics

Standard deviation1457.4152
Coefficient of variation (CV)1.7633139
Kurtosis0.14202401
Mean826.52055
Median Absolute Deviation (MAD)0
Skewness1.3471059
Sum301680
Variance2124059
MonotonicityNot monotonic
2024-03-18T11:44:02.332199image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 271
74.2%
2800 3
 
0.8%
2680 3
 
0.8%
2600 3
 
0.8%
3260 3
 
0.8%
4220 3
 
0.8%
2120 2
 
0.5%
2840 2
 
0.5%
3660 2
 
0.5%
3100 2
 
0.5%
Other values (59) 71
 
19.5%
ValueCountFrequency (%)
0 271
74.2%
1340 1
 
0.3%
1680 1
 
0.3%
1700 1
 
0.3%
1880 2
 
0.5%
2080 1
 
0.3%
2120 2
 
0.5%
2160 1
 
0.3%
2200 1
 
0.3%
2260 1
 
0.3%
ValueCountFrequency (%)
4960 1
 
0.3%
4760 1
 
0.3%
4720 1
 
0.3%
4680 1
 
0.3%
4540 1
 
0.3%
4520 1
 
0.3%
4510 1
 
0.3%
4400 1
 
0.3%
4220 3
0.8%
4140 2
0.5%
Distinct44
Distinct (%)12.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean26.326027
Minimum0
Maximum147
Zeros271
Zeros (%)74.2%
Negative0
Negative (%)0.0%
Memory size3.3 KiB
2024-03-18T11:44:02.456868image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q383
95-th percentile112.8
Maximum147
Range147
Interquartile range (IQR)83

Descriptive statistics

Standard deviation45.29313
Coefficient of variation (CV)1.7204696
Kurtosis-0.41693214
Mean26.326027
Median Absolute Deviation (MAD)0
Skewness1.1993456
Sum9609
Variance2051.4676
MonotonicityNot monotonic
2024-03-18T11:44:02.594959image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=44)
ValueCountFrequency (%)
0 271
74.2%
103 6
 
1.6%
99 5
 
1.4%
96 5
 
1.4%
95 5
 
1.4%
93 5
 
1.4%
104 4
 
1.1%
111 4
 
1.1%
97 4
 
1.1%
92 4
 
1.1%
Other values (34) 52
 
14.2%
ValueCountFrequency (%)
0 271
74.2%
80 1
 
0.3%
83 2
 
0.5%
85 3
 
0.8%
86 3
 
0.8%
87 1
 
0.3%
88 3
 
0.8%
89 3
 
0.8%
90 1
 
0.3%
91 1
 
0.3%
ValueCountFrequency (%)
147 1
0.3%
137 1
0.3%
133 1
0.3%
131 2
0.5%
130 1
0.3%
126 1
0.3%
123 1
0.3%
122 2
0.5%
121 1
0.3%
120 2
0.5%

생슬러지1계열_총고형물
Real number (ℝ)

ZEROS 

Distinct40
Distinct (%)11.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.27561644
Minimum0
Maximum3.89
Zeros324
Zeros (%)88.8%
Negative0
Negative (%)0.0%
Memory size3.3 KiB
2024-03-18T11:44:02.711230image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile2.708
Maximum3.89
Range3.89
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.81675649
Coefficient of variation (CV)2.9633809
Kurtosis6.5887327
Mean0.27561644
Median Absolute Deviation (MAD)0
Skewness2.8343996
Sum100.6
Variance0.66709117
MonotonicityNot monotonic
2024-03-18T11:44:02.839819image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=40)
ValueCountFrequency (%)
0.0 324
88.8%
2.7 2
 
0.5%
2.82 2
 
0.5%
2.71 1
 
0.3%
2.5 1
 
0.3%
1.75 1
 
0.3%
2.93 1
 
0.3%
2.79 1
 
0.3%
3.59 1
 
0.3%
2.76 1
 
0.3%
Other values (30) 30
 
8.2%
ValueCountFrequency (%)
0.0 324
88.8%
0.52 1
 
0.3%
0.62 1
 
0.3%
1.06 1
 
0.3%
1.13 1
 
0.3%
1.64 1
 
0.3%
1.66 1
 
0.3%
1.67 1
 
0.3%
1.71 1
 
0.3%
1.75 1
 
0.3%
ValueCountFrequency (%)
3.89 1
0.3%
3.59 1
0.3%
3.42 1
0.3%
3.36 1
0.3%
3.35 1
0.3%
3.2 1
0.3%
3.18 1
0.3%
3.01 1
0.3%
3.0 1
0.3%
2.93 1
0.3%

생슬러지2계열_총고형물
Real number (ℝ)

ZEROS 

Distinct39
Distinct (%)10.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.26824658
Minimum0
Maximum3.63
Zeros324
Zeros (%)88.8%
Negative0
Negative (%)0.0%
Memory size3.3 KiB
2024-03-18T11:44:02.978047image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile2.636
Maximum3.63
Range3.63
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.79593244
Coefficient of variation (CV)2.9671672
Kurtosis6.6693278
Mean0.26824658
Median Absolute Deviation (MAD)0
Skewness2.8438965
Sum97.91
Variance0.63350846
MonotonicityNot monotonic
2024-03-18T11:44:03.098305image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=39)
ValueCountFrequency (%)
0.0 324
88.8%
2.25 3
 
0.8%
2.65 2
 
0.5%
2.9 1
 
0.3%
2.22 1
 
0.3%
1.47 1
 
0.3%
2.16 1
 
0.3%
2.78 1
 
0.3%
3.57 1
 
0.3%
2.09 1
 
0.3%
Other values (29) 29
 
7.9%
ValueCountFrequency (%)
0.0 324
88.8%
0.22 1
 
0.3%
1.03 1
 
0.3%
1.06 1
 
0.3%
1.11 1
 
0.3%
1.47 1
 
0.3%
1.52 1
 
0.3%
1.53 1
 
0.3%
1.72 1
 
0.3%
1.77 1
 
0.3%
ValueCountFrequency (%)
3.63 1
0.3%
3.57 1
0.3%
3.42 1
0.3%
3.33 1
0.3%
3.23 1
0.3%
3.17 1
0.3%
3.14 1
0.3%
3.09 1
0.3%
2.99 1
0.3%
2.96 1
0.3%

생슬러지3계열_총고형물
Real number (ℝ)

ZEROS 

Distinct36
Distinct (%)9.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.2350411
Minimum0
Maximum4.14
Zeros324
Zeros (%)88.8%
Negative0
Negative (%)0.0%
Memory size3.3 KiB
2024-03-18T11:44:03.228920image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile2.428
Maximum4.14
Range4.14
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.75262895
Coefficient of variation (CV)3.2021164
Kurtosis9.6729728
Mean0.2350411
Median Absolute Deviation (MAD)0
Skewness3.2747282
Sum85.79
Variance0.56645034
MonotonicityNot monotonic
2024-03-18T11:44:03.331663image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=36)
ValueCountFrequency (%)
0.0 324
88.8%
0.44 2
 
0.5%
1.47 2
 
0.5%
1.83 2
 
0.5%
3.14 2
 
0.5%
2.21 2
 
0.5%
1.0 2
 
0.5%
3.3 1
 
0.3%
2.66 1
 
0.3%
2.43 1
 
0.3%
Other values (26) 26
 
7.1%
ValueCountFrequency (%)
0.0 324
88.8%
0.01 1
 
0.3%
0.32 1
 
0.3%
0.37 1
 
0.3%
0.44 2
 
0.5%
0.66 1
 
0.3%
0.69 1
 
0.3%
0.88 1
 
0.3%
1.0 2
 
0.5%
1.09 1
 
0.3%
ValueCountFrequency (%)
4.14 1
0.3%
3.47 1
0.3%
3.46 1
0.3%
3.41 1
0.3%
3.3 1
0.3%
3.27 1
0.3%
3.15 1
0.3%
3.14 2
0.5%
3.08 1
0.3%
2.96 1
0.3%

생슬러지4계열_총고형물
Real number (ℝ)

ZEROS 

Distinct37
Distinct (%)10.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.13265753
Minimum0
Maximum4.57
Zeros324
Zeros (%)88.8%
Negative0
Negative (%)0.0%
Memory size3.3 KiB
2024-03-18T11:44:03.430770image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0.984
Maximum4.57
Range4.57
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.50648629
Coefficient of variation (CV)3.8179986
Kurtosis29.057804
Mean0.13265753
Median Absolute Deviation (MAD)0
Skewness5.005627
Sum48.42
Variance0.25652836
MonotonicityNot monotonic
2024-03-18T11:44:03.538914image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=37)
ValueCountFrequency (%)
0.0 324
88.8%
1.24 2
 
0.5%
0.17 2
 
0.5%
0.23 2
 
0.5%
0.34 2
 
0.5%
0.84 2
 
0.5%
2.98 1
 
0.3%
2.03 1
 
0.3%
0.61 1
 
0.3%
0.28 1
 
0.3%
Other values (27) 27
 
7.4%
ValueCountFrequency (%)
0.0 324
88.8%
0.12 1
 
0.3%
0.17 2
 
0.5%
0.21 1
 
0.3%
0.23 2
 
0.5%
0.24 1
 
0.3%
0.28 1
 
0.3%
0.29 1
 
0.3%
0.32 1
 
0.3%
0.33 1
 
0.3%
ValueCountFrequency (%)
4.57 1
0.3%
3.48 1
0.3%
2.98 1
0.3%
2.83 1
0.3%
2.48 1
0.3%
2.34 1
0.3%
2.05 1
0.3%
2.03 1
0.3%
1.78 1
0.3%
1.71 1
0.3%

잉여슬러지1계열_총고형물
Real number (ℝ)

ZEROS 

Distinct37
Distinct (%)10.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1570137
Minimum0
Maximum2.58
Zeros324
Zeros (%)88.8%
Negative0
Negative (%)0.0%
Memory size3.3 KiB
2024-03-18T11:44:03.640631image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1.426
Maximum2.58
Range2.58
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.4594073
Coefficient of variation (CV)2.9259059
Kurtosis7.5443962
Mean0.1570137
Median Absolute Deviation (MAD)0
Skewness2.8834243
Sum57.31
Variance0.21105507
MonotonicityNot monotonic
2024-03-18T11:44:03.749904image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=37)
ValueCountFrequency (%)
0.0 324
88.8%
1.39 2
 
0.5%
1.46 2
 
0.5%
1.65 2
 
0.5%
1.09 2
 
0.5%
0.96 2
 
0.5%
0.95 1
 
0.3%
1.24 1
 
0.3%
1.31 1
 
0.3%
1.04 1
 
0.3%
Other values (27) 27
 
7.4%
ValueCountFrequency (%)
0.0 324
88.8%
0.93 1
 
0.3%
0.95 1
 
0.3%
0.96 2
 
0.5%
1.03 1
 
0.3%
1.04 1
 
0.3%
1.06 1
 
0.3%
1.07 1
 
0.3%
1.08 1
 
0.3%
1.09 2
 
0.5%
ValueCountFrequency (%)
2.58 1
0.3%
2.55 1
0.3%
1.95 1
0.3%
1.8 1
0.3%
1.79 1
0.3%
1.74 1
0.3%
1.65 2
0.5%
1.64 1
0.3%
1.62 1
0.3%
1.55 1
0.3%

잉여슬러지1계열_총고형물_1
Real number (ℝ)

ZEROS 

Distinct34
Distinct (%)9.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.14131507
Minimum0
Maximum2.14
Zeros326
Zeros (%)89.3%
Negative0
Negative (%)0.0%
Memory size3.3 KiB
2024-03-18T11:44:03.880767image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1.318
Maximum2.14
Range2.14
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.42215098
Coefficient of variation (CV)2.9873034
Kurtosis6.7017892
Mean0.14131507
Median Absolute Deviation (MAD)0
Skewness2.8400517
Sum51.58
Variance0.17821145
MonotonicityNot monotonic
2024-03-18T11:44:03.991851image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=34)
ValueCountFrequency (%)
0.0 326
89.3%
1.32 3
 
0.8%
1.08 2
 
0.5%
1.66 2
 
0.5%
1.54 2
 
0.5%
1.1 2
 
0.5%
1.37 1
 
0.3%
1.04 1
 
0.3%
0.73 1
 
0.3%
0.89 1
 
0.3%
Other values (24) 24
 
6.6%
ValueCountFrequency (%)
0.0 326
89.3%
0.47 1
 
0.3%
0.73 1
 
0.3%
0.89 1
 
0.3%
0.92 1
 
0.3%
1.04 1
 
0.3%
1.07 1
 
0.3%
1.08 2
 
0.5%
1.1 2
 
0.5%
1.11 1
 
0.3%
ValueCountFrequency (%)
2.14 1
0.3%
1.94 1
0.3%
1.77 1
0.3%
1.75 1
0.3%
1.66 2
0.5%
1.6 1
0.3%
1.58 1
0.3%
1.56 1
0.3%
1.54 2
0.5%
1.49 1
0.3%

잉여슬러지1계열_총고형물_2
Real number (ℝ)

ZEROS 

Distinct36
Distinct (%)9.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.14564384
Minimum0
Maximum2.63
Zeros324
Zeros (%)88.8%
Negative0
Negative (%)0.0%
Memory size3.3 KiB
2024-03-18T11:44:04.125288image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1.36
Maximum2.63
Range2.63
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.43620798
Coefficient of variation (CV)2.9950322
Kurtosis9.2123804
Mean0.14564384
Median Absolute Deviation (MAD)0
Skewness3.0916549
Sum53.16
Variance0.1902774
MonotonicityNot monotonic
2024-03-18T11:44:04.262830image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=36)
ValueCountFrequency (%)
0.0 324
88.8%
0.84 3
 
0.8%
1.42 2
 
0.5%
1.39 2
 
0.5%
1.68 2
 
0.5%
1.09 2
 
0.5%
1.17 1
 
0.3%
1.04 1
 
0.3%
1.07 1
 
0.3%
0.71 1
 
0.3%
Other values (26) 26
 
7.1%
ValueCountFrequency (%)
0.0 324
88.8%
0.67 1
 
0.3%
0.71 1
 
0.3%
0.75 1
 
0.3%
0.77 1
 
0.3%
0.84 3
 
0.8%
0.85 1
 
0.3%
0.88 1
 
0.3%
0.9 1
 
0.3%
0.99 1
 
0.3%
ValueCountFrequency (%)
2.63 1
0.3%
2.47 1
0.3%
2.0 1
0.3%
1.84 1
0.3%
1.81 1
0.3%
1.68 2
0.5%
1.67 1
0.3%
1.63 1
0.3%
1.62 1
0.3%
1.52 1
0.3%

잉여슬러지1계열_총고형물_3
Real number (ℝ)

ZEROS 

Distinct36
Distinct (%)9.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.14115068
Minimum0
Maximum2.46
Zeros323
Zeros (%)88.5%
Negative0
Negative (%)0.0%
Memory size3.3 KiB
2024-03-18T11:44:04.360524image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1.26
Maximum2.46
Range2.46
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.40766865
Coefficient of variation (CV)2.8881805
Kurtosis7.1229151
Mean0.14115068
Median Absolute Deviation (MAD)0
Skewness2.8219325
Sum51.52
Variance0.16619373
MonotonicityNot monotonic
2024-03-18T11:44:04.463455image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=36)
ValueCountFrequency (%)
0.0 323
88.5%
1.26 3
 
0.8%
1.14 2
 
0.5%
0.98 2
 
0.5%
1.24 2
 
0.5%
1.07 2
 
0.5%
1.01 2
 
0.5%
1.09 1
 
0.3%
1.16 1
 
0.3%
1.17 1
 
0.3%
Other values (26) 26
 
7.1%
ValueCountFrequency (%)
0.0 323
88.5%
0.53 1
 
0.3%
0.68 1
 
0.3%
0.69 1
 
0.3%
0.86 1
 
0.3%
0.9 1
 
0.3%
0.92 1
 
0.3%
0.94 1
 
0.3%
0.98 2
 
0.5%
1.01 2
 
0.5%
ValueCountFrequency (%)
2.46 1
0.3%
1.77 1
0.3%
1.76 1
0.3%
1.61 1
0.3%
1.59 1
0.3%
1.57 1
0.3%
1.48 1
0.3%
1.44 1
0.3%
1.43 1
0.3%
1.39 1
0.3%

생슬러지1계열_강열감량
Real number (ℝ)

ZEROS 

Distinct40
Distinct (%)11.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.27561644
Minimum0
Maximum3.89
Zeros324
Zeros (%)88.8%
Negative0
Negative (%)0.0%
Memory size3.3 KiB
2024-03-18T11:44:04.577886image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile2.708
Maximum3.89
Range3.89
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.81675649
Coefficient of variation (CV)2.9633809
Kurtosis6.5887327
Mean0.27561644
Median Absolute Deviation (MAD)0
Skewness2.8343996
Sum100.6
Variance0.66709117
MonotonicityNot monotonic
2024-03-18T11:44:04.718662image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=40)
ValueCountFrequency (%)
0.0 324
88.8%
2.7 2
 
0.5%
2.82 2
 
0.5%
2.71 1
 
0.3%
2.5 1
 
0.3%
1.75 1
 
0.3%
2.93 1
 
0.3%
2.79 1
 
0.3%
3.59 1
 
0.3%
2.76 1
 
0.3%
Other values (30) 30
 
8.2%
ValueCountFrequency (%)
0.0 324
88.8%
0.52 1
 
0.3%
0.62 1
 
0.3%
1.06 1
 
0.3%
1.13 1
 
0.3%
1.64 1
 
0.3%
1.66 1
 
0.3%
1.67 1
 
0.3%
1.71 1
 
0.3%
1.75 1
 
0.3%
ValueCountFrequency (%)
3.89 1
0.3%
3.59 1
0.3%
3.42 1
0.3%
3.36 1
0.3%
3.35 1
0.3%
3.2 1
0.3%
3.18 1
0.3%
3.01 1
0.3%
3.0 1
0.3%
2.93 1
0.3%

생슬러지2계열_강열감량
Real number (ℝ)

ZEROS 

Distinct39
Distinct (%)10.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.26824658
Minimum0
Maximum3.63
Zeros324
Zeros (%)88.8%
Negative0
Negative (%)0.0%
Memory size3.3 KiB
2024-03-18T11:44:04.834833image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile2.636
Maximum3.63
Range3.63
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.79593244
Coefficient of variation (CV)2.9671672
Kurtosis6.6693278
Mean0.26824658
Median Absolute Deviation (MAD)0
Skewness2.8438965
Sum97.91
Variance0.63350846
MonotonicityNot monotonic
2024-03-18T11:44:04.961889image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=39)
ValueCountFrequency (%)
0.0 324
88.8%
2.25 3
 
0.8%
2.65 2
 
0.5%
2.9 1
 
0.3%
2.22 1
 
0.3%
1.47 1
 
0.3%
2.16 1
 
0.3%
2.78 1
 
0.3%
3.57 1
 
0.3%
2.09 1
 
0.3%
Other values (29) 29
 
7.9%
ValueCountFrequency (%)
0.0 324
88.8%
0.22 1
 
0.3%
1.03 1
 
0.3%
1.06 1
 
0.3%
1.11 1
 
0.3%
1.47 1
 
0.3%
1.52 1
 
0.3%
1.53 1
 
0.3%
1.72 1
 
0.3%
1.77 1
 
0.3%
ValueCountFrequency (%)
3.63 1
0.3%
3.57 1
0.3%
3.42 1
0.3%
3.33 1
0.3%
3.23 1
0.3%
3.17 1
0.3%
3.14 1
0.3%
3.09 1
0.3%
2.99 1
0.3%
2.96 1
0.3%

생슬러지3계열_강열감량
Real number (ℝ)

ZEROS 

Distinct36
Distinct (%)9.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.2350411
Minimum0
Maximum4.14
Zeros324
Zeros (%)88.8%
Negative0
Negative (%)0.0%
Memory size3.3 KiB
2024-03-18T11:44:05.074960image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile2.428
Maximum4.14
Range4.14
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.75262895
Coefficient of variation (CV)3.2021164
Kurtosis9.6729728
Mean0.2350411
Median Absolute Deviation (MAD)0
Skewness3.2747282
Sum85.79
Variance0.56645034
MonotonicityNot monotonic
2024-03-18T11:44:05.184929image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=36)
ValueCountFrequency (%)
0.0 324
88.8%
0.44 2
 
0.5%
1.47 2
 
0.5%
1.83 2
 
0.5%
3.14 2
 
0.5%
2.21 2
 
0.5%
1.0 2
 
0.5%
3.3 1
 
0.3%
2.66 1
 
0.3%
2.43 1
 
0.3%
Other values (26) 26
 
7.1%
ValueCountFrequency (%)
0.0 324
88.8%
0.01 1
 
0.3%
0.32 1
 
0.3%
0.37 1
 
0.3%
0.44 2
 
0.5%
0.66 1
 
0.3%
0.69 1
 
0.3%
0.88 1
 
0.3%
1.0 2
 
0.5%
1.09 1
 
0.3%
ValueCountFrequency (%)
4.14 1
0.3%
3.47 1
0.3%
3.46 1
0.3%
3.41 1
0.3%
3.3 1
0.3%
3.27 1
0.3%
3.15 1
0.3%
3.14 2
0.5%
3.08 1
0.3%
2.96 1
0.3%

생슬러지4계열_강열감량
Real number (ℝ)

ZEROS 

Distinct37
Distinct (%)10.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.13265753
Minimum0
Maximum4.57
Zeros324
Zeros (%)88.8%
Negative0
Negative (%)0.0%
Memory size3.3 KiB
2024-03-18T11:44:05.292167image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0.984
Maximum4.57
Range4.57
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.50648629
Coefficient of variation (CV)3.8179986
Kurtosis29.057804
Mean0.13265753
Median Absolute Deviation (MAD)0
Skewness5.005627
Sum48.42
Variance0.25652836
MonotonicityNot monotonic
2024-03-18T11:44:05.626768image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=37)
ValueCountFrequency (%)
0.0 324
88.8%
1.24 2
 
0.5%
0.17 2
 
0.5%
0.23 2
 
0.5%
0.34 2
 
0.5%
0.84 2
 
0.5%
2.98 1
 
0.3%
2.03 1
 
0.3%
0.61 1
 
0.3%
0.28 1
 
0.3%
Other values (27) 27
 
7.4%
ValueCountFrequency (%)
0.0 324
88.8%
0.12 1
 
0.3%
0.17 2
 
0.5%
0.21 1
 
0.3%
0.23 2
 
0.5%
0.24 1
 
0.3%
0.28 1
 
0.3%
0.29 1
 
0.3%
0.32 1
 
0.3%
0.33 1
 
0.3%
ValueCountFrequency (%)
4.57 1
0.3%
3.48 1
0.3%
2.98 1
0.3%
2.83 1
0.3%
2.48 1
0.3%
2.34 1
0.3%
2.05 1
0.3%
2.03 1
0.3%
1.78 1
0.3%
1.71 1
0.3%

잉여슬러지1계열_강열감량
Real number (ℝ)

ZEROS 

Distinct37
Distinct (%)10.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1570137
Minimum0
Maximum2.58
Zeros324
Zeros (%)88.8%
Negative0
Negative (%)0.0%
Memory size3.3 KiB
2024-03-18T11:44:05.734438image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1.426
Maximum2.58
Range2.58
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.4594073
Coefficient of variation (CV)2.9259059
Kurtosis7.5443962
Mean0.1570137
Median Absolute Deviation (MAD)0
Skewness2.8834243
Sum57.31
Variance0.21105507
MonotonicityNot monotonic
2024-03-18T11:44:05.838071image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=37)
ValueCountFrequency (%)
0.0 324
88.8%
1.39 2
 
0.5%
1.46 2
 
0.5%
1.65 2
 
0.5%
1.09 2
 
0.5%
0.96 2
 
0.5%
0.95 1
 
0.3%
1.24 1
 
0.3%
1.31 1
 
0.3%
1.04 1
 
0.3%
Other values (27) 27
 
7.4%
ValueCountFrequency (%)
0.0 324
88.8%
0.93 1
 
0.3%
0.95 1
 
0.3%
0.96 2
 
0.5%
1.03 1
 
0.3%
1.04 1
 
0.3%
1.06 1
 
0.3%
1.07 1
 
0.3%
1.08 1
 
0.3%
1.09 2
 
0.5%
ValueCountFrequency (%)
2.58 1
0.3%
2.55 1
0.3%
1.95 1
0.3%
1.8 1
0.3%
1.79 1
0.3%
1.74 1
0.3%
1.65 2
0.5%
1.64 1
0.3%
1.62 1
0.3%
1.55 1
0.3%

잉여슬러지2계열_강열감량
Real number (ℝ)

ZEROS 

Distinct34
Distinct (%)9.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.14131507
Minimum0
Maximum2.14
Zeros326
Zeros (%)89.3%
Negative0
Negative (%)0.0%
Memory size3.3 KiB
2024-03-18T11:44:05.939416image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1.318
Maximum2.14
Range2.14
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.42215098
Coefficient of variation (CV)2.9873034
Kurtosis6.7017892
Mean0.14131507
Median Absolute Deviation (MAD)0
Skewness2.8400517
Sum51.58
Variance0.17821145
MonotonicityNot monotonic
2024-03-18T11:44:06.034702image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=34)
ValueCountFrequency (%)
0.0 326
89.3%
1.32 3
 
0.8%
1.08 2
 
0.5%
1.66 2
 
0.5%
1.54 2
 
0.5%
1.1 2
 
0.5%
1.37 1
 
0.3%
1.04 1
 
0.3%
0.73 1
 
0.3%
0.89 1
 
0.3%
Other values (24) 24
 
6.6%
ValueCountFrequency (%)
0.0 326
89.3%
0.47 1
 
0.3%
0.73 1
 
0.3%
0.89 1
 
0.3%
0.92 1
 
0.3%
1.04 1
 
0.3%
1.07 1
 
0.3%
1.08 2
 
0.5%
1.1 2
 
0.5%
1.11 1
 
0.3%
ValueCountFrequency (%)
2.14 1
0.3%
1.94 1
0.3%
1.77 1
0.3%
1.75 1
0.3%
1.66 2
0.5%
1.6 1
0.3%
1.58 1
0.3%
1.56 1
0.3%
1.54 2
0.5%
1.49 1
0.3%

잉여슬러지3계열_강열감량
Real number (ℝ)

ZEROS 

Distinct36
Distinct (%)9.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.14564384
Minimum0
Maximum2.63
Zeros324
Zeros (%)88.8%
Negative0
Negative (%)0.0%
Memory size3.3 KiB
2024-03-18T11:44:06.129301image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1.36
Maximum2.63
Range2.63
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.43620798
Coefficient of variation (CV)2.9950322
Kurtosis9.2123804
Mean0.14564384
Median Absolute Deviation (MAD)0
Skewness3.0916549
Sum53.16
Variance0.1902774
MonotonicityNot monotonic
2024-03-18T11:44:06.237140image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=36)
ValueCountFrequency (%)
0.0 324
88.8%
0.84 3
 
0.8%
1.42 2
 
0.5%
1.39 2
 
0.5%
1.68 2
 
0.5%
1.09 2
 
0.5%
1.17 1
 
0.3%
1.04 1
 
0.3%
1.07 1
 
0.3%
0.71 1
 
0.3%
Other values (26) 26
 
7.1%
ValueCountFrequency (%)
0.0 324
88.8%
0.67 1
 
0.3%
0.71 1
 
0.3%
0.75 1
 
0.3%
0.77 1
 
0.3%
0.84 3
 
0.8%
0.85 1
 
0.3%
0.88 1
 
0.3%
0.9 1
 
0.3%
0.99 1
 
0.3%
ValueCountFrequency (%)
2.63 1
0.3%
2.47 1
0.3%
2.0 1
0.3%
1.84 1
0.3%
1.81 1
0.3%
1.68 2
0.5%
1.67 1
0.3%
1.63 1
0.3%
1.62 1
0.3%
1.52 1
0.3%

잉여슬러지4계열_강열감량
Real number (ℝ)

ZEROS 

Distinct36
Distinct (%)9.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.14115068
Minimum0
Maximum2.46
Zeros323
Zeros (%)88.5%
Negative0
Negative (%)0.0%
Memory size3.3 KiB
2024-03-18T11:44:06.367087image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1.26
Maximum2.46
Range2.46
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.40766865
Coefficient of variation (CV)2.8881805
Kurtosis7.1229151
Mean0.14115068
Median Absolute Deviation (MAD)0
Skewness2.8219325
Sum51.52
Variance0.16619373
MonotonicityNot monotonic
2024-03-18T11:44:06.496043image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=36)
ValueCountFrequency (%)
0.0 323
88.5%
1.26 3
 
0.8%
1.14 2
 
0.5%
0.98 2
 
0.5%
1.24 2
 
0.5%
1.07 2
 
0.5%
1.01 2
 
0.5%
1.09 1
 
0.3%
1.16 1
 
0.3%
1.17 1
 
0.3%
Other values (26) 26
 
7.1%
ValueCountFrequency (%)
0.0 323
88.5%
0.53 1
 
0.3%
0.68 1
 
0.3%
0.69 1
 
0.3%
0.86 1
 
0.3%
0.9 1
 
0.3%
0.92 1
 
0.3%
0.94 1
 
0.3%
0.98 2
 
0.5%
1.01 2
 
0.5%
ValueCountFrequency (%)
2.46 1
0.3%
1.77 1
0.3%
1.76 1
0.3%
1.61 1
0.3%
1.59 1
0.3%
1.57 1
0.3%
1.48 1
0.3%
1.44 1
0.3%
1.43 1
0.3%
1.39 1
0.3%

탈수케익_함수율
Real number (ℝ)

ZEROS 

Distinct41
Distinct (%)11.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9.376411
Minimum0
Maximum85.52
Zeros322
Zeros (%)88.2%
Negative0
Negative (%)0.0%
Memory size3.3 KiB
2024-03-18T11:44:06.610332image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile79.552
Maximum85.52
Range85.52
Interquartile range (IQR)0

Descriptive statistics

Standard deviation25.703763
Coefficient of variation (CV)2.7413221
Kurtosis3.7140903
Mean9.376411
Median Absolute Deviation (MAD)0
Skewness2.3845406
Sum3422.39
Variance660.68343
MonotonicityNot monotonic
2024-03-18T11:44:06.708933image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=41)
ValueCountFrequency (%)
0.0 322
88.2%
77.98 2
 
0.5%
79.39 2
 
0.5%
79.46 2
 
0.5%
78.88 1
 
0.3%
76.45 1
 
0.3%
75.17 1
 
0.3%
76.59 1
 
0.3%
77.08 1
 
0.3%
78.03 1
 
0.3%
Other values (31) 31
 
8.5%
ValueCountFrequency (%)
0.0 322
88.2%
75.17 1
 
0.3%
75.33 1
 
0.3%
76.45 1
 
0.3%
76.59 1
 
0.3%
76.74 1
 
0.3%
77.08 1
 
0.3%
77.98 2
 
0.5%
78.03 1
 
0.3%
78.1 1
 
0.3%
ValueCountFrequency (%)
85.52 1
0.3%
83.2 1
0.3%
82.99 1
0.3%
82.79 1
0.3%
82.38 1
0.3%
82.04 1
0.3%
81.96 1
0.3%
81.79 1
0.3%
81.51 1
0.3%
81.47 1
0.3%

탈수케익_발생량
Real number (ℝ)

Distinct353
Distinct (%)96.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean102.80258
Minimum0
Maximum198.42
Zeros1
Zeros (%)0.3%
Negative0
Negative (%)0.0%
Memory size3.3 KiB
2024-03-18T11:44:06.836670image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile49.71
Q179.91
median100.87
Q3122.79
95-th percentile149.524
Maximum198.42
Range198.42
Interquartile range (IQR)42.88

Descriptive statistics

Standard deviation30.836326
Coefficient of variation (CV)0.29995675
Kurtosis0.56446827
Mean102.80258
Median Absolute Deviation (MAD)21.68
Skewness-0.18731832
Sum37522.94
Variance950.87903
MonotonicityNot monotonic
2024-03-18T11:44:06.975204image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
124.02 2
 
0.5%
71.75 2
 
0.5%
71.33 2
 
0.5%
121.31 2
 
0.5%
98.82 2
 
0.5%
169.97 2
 
0.5%
143.89 2
 
0.5%
146.98 2
 
0.5%
100.25 2
 
0.5%
97.48 2
 
0.5%
Other values (343) 345
94.5%
ValueCountFrequency (%)
0.0 1
0.3%
12.17 1
0.3%
16.28 1
0.3%
16.88 1
0.3%
17.9 1
0.3%
25.51 1
0.3%
26.24 1
0.3%
27.74 1
0.3%
41.38 1
0.3%
46.11 1
0.3%
ValueCountFrequency (%)
198.42 1
0.3%
195.88 1
0.3%
171.52 1
0.3%
170.81 1
0.3%
170.26 1
0.3%
169.97 2
0.5%
168.37 1
0.3%
167.07 1
0.3%
164.91 1
0.3%
163.84 1
0.3%

탈수케익_처리량
Real number (ℝ)

Distinct353
Distinct (%)96.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean102.80258
Minimum0
Maximum198.42
Zeros1
Zeros (%)0.3%
Negative0
Negative (%)0.0%
Memory size3.3 KiB
2024-03-18T11:44:07.091514image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile49.71
Q179.91
median100.87
Q3122.79
95-th percentile149.524
Maximum198.42
Range198.42
Interquartile range (IQR)42.88

Descriptive statistics

Standard deviation30.836326
Coefficient of variation (CV)0.29995675
Kurtosis0.56446827
Mean102.80258
Median Absolute Deviation (MAD)21.68
Skewness-0.18731832
Sum37522.94
Variance950.87903
MonotonicityNot monotonic
2024-03-18T11:44:07.205295image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
124.02 2
 
0.5%
71.75 2
 
0.5%
71.33 2
 
0.5%
121.31 2
 
0.5%
98.82 2
 
0.5%
169.97 2
 
0.5%
143.89 2
 
0.5%
146.98 2
 
0.5%
100.25 2
 
0.5%
97.48 2
 
0.5%
Other values (343) 345
94.5%
ValueCountFrequency (%)
0.0 1
0.3%
12.17 1
0.3%
16.28 1
0.3%
16.88 1
0.3%
17.9 1
0.3%
25.51 1
0.3%
26.24 1
0.3%
27.74 1
0.3%
41.38 1
0.3%
46.11 1
0.3%
ValueCountFrequency (%)
198.42 1
0.3%
195.88 1
0.3%
171.52 1
0.3%
170.81 1
0.3%
170.26 1
0.3%
169.97 2
0.5%
168.37 1
0.3%
167.07 1
0.3%
164.91 1
0.3%
163.84 1
0.3%

Sample

일자날씨유입량방류량내부반송율외부반송율유입수_수온유입수_수소농도유입수_용존산소량유입수_생물화학적산소요구량유입수_화학적산소요구량유입수_부유물질유입수_총질소량유입수_총인량유입수_대장균군분배조_수온분배조_수소농도분배조_용존산소량분배조_생물화학적산소요구량분배조_화학적산소요구량분배조_부유물질분배조_총질소량분배조_총인량최초침전지_BOD최초침전지_COD최초침전지_부유물질최초침전지_총질소량최초침전지_총인량최초침전지_대장균군수질1계열_수온수질2계열_수온수질3계열_수온수질4계열_수온방류수_수온방류수_수소농도방류수_용존산소량방류수_생물화학적산소요구량방류수_화학적산소요구량방류수_부유물질방류수_총질소량방류수_총인량방류수_대장균군포기조1계열_슬러지부피포기조1계열_활성슬러지농도포기조1계열_슬러지용적지수포기조2계열_슬러지부피포기조2계열_활성슬러지농도포기조2계열_슬러지용적지수포기조3계열_슬러지부피포기조3계열_활성슬러지농도포기조3계열_슬러지용적지수포기조4계열_슬러지부피포기조4계열_활성슬러지농도포기조4계열_슬러지용적지수생슬러지1계열_총고형물생슬러지2계열_총고형물생슬러지3계열_총고형물생슬러지4계열_총고형물잉여슬러지1계열_총고형물잉여슬러지1계열_총고형물_1잉여슬러지1계열_총고형물_2잉여슬러지1계열_총고형물_3생슬러지1계열_강열감량생슬러지2계열_강열감량생슬러지3계열_강열감량생슬러지4계열_강열감량잉여슬러지1계열_강열감량잉여슬러지2계열_강열감량잉여슬러지3계열_강열감량잉여슬러지4계열_강열감량탈수케익_함수율탈수케익_발생량탈수케익_처리량
02022-01-01맑음207143190940945112.57.2094.3097.529.842.615370000000.000.00.00.00.000.00.00.000.000.00.012.46.605.49.67.510.030.61800000000000000.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.095.4895.48
12022-01-022104441911501134411.96.80115.50136.729.9382.4531700000000.000.00.00.00.000.00.00.000.000.00.013.06.608.99.17.610.3390.63700000000000000.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.097.7697.76
22022-01-032130021944201284212.66.80170.10150.033.6293.18382000000288.00390.029.1824.971142.30110.031.1735.129013.113.113.013.312.66.608.50.06.516.6780.44205540801356748801374737001273331001060.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.0140.53140.53
32022-01-04맑음2140751977502014912.56.70108.50126.732.023.535410000000.000.00.00.00.000.00.00.000.000.00.012.56.608.90.08.012.4680.43150000000000000.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.0114.72114.72
42022-01-05맑음2090241947002064912.76.70136.20110.031.5193.04137000000361.00450.031.8926.095121.50120.031.9725.72800.000.00.012.66.6013.30.07.512.9250.41905141001245848801193835601072929001000.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.0117.45117.45
52022-01-06맑음2125681954002025212.56.80124.8096.738.8334.489640000000.000.00.00.00.000.00.00.000.000.00.012.56.604.20.08.212.5640.47500000000000000.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.0117.15117.15
62022-01-07맑음2128991959702004812.56.70162.80150.033.6253.15490000000.000.00.00.00.000.00.00.000.000.00.012.56.607.90.06.812.0890.44210000000000000.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.0167.07167.07
72022-01-08흐림2072931906502055012.56.80119.30116.729.6842.806720000000.000.00.00.00.000.00.00.000.000.00.012.56.501.39.78.112.8070.42600000000000000.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.0116.75116.75
82022-01-09맑음2058951886502075113.36.90117.00143.333.6463.278130000000.000.00.00.00.000.00.00.000.000.00.012.76.605.410.07.311.2870.38400000000000000.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.096.696.6
92022-01-102120481945102005012.76.70146.70136.749.1023.26232000000395.00410.036.8966.371161.40110.035.1396.307013.213.213.113.312.76.5016.60.08.011.4120.29706042501416045501324034001184235501180.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.0163.84163.84
일자날씨유입량방류량내부반송율외부반송율유입수_수온유입수_수소농도유입수_용존산소량유입수_생물화학적산소요구량유입수_화학적산소요구량유입수_부유물질유입수_총질소량유입수_총인량유입수_대장균군분배조_수온분배조_수소농도분배조_용존산소량분배조_생물화학적산소요구량분배조_화학적산소요구량분배조_부유물질분배조_총질소량분배조_총인량최초침전지_BOD최초침전지_COD최초침전지_부유물질최초침전지_총질소량최초침전지_총인량최초침전지_대장균군수질1계열_수온수질2계열_수온수질3계열_수온수질4계열_수온방류수_수온방류수_수소농도방류수_용존산소량방류수_생물화학적산소요구량방류수_화학적산소요구량방류수_부유물질방류수_총질소량방류수_총인량방류수_대장균군포기조1계열_슬러지부피포기조1계열_활성슬러지농도포기조1계열_슬러지용적지수포기조2계열_슬러지부피포기조2계열_활성슬러지농도포기조2계열_슬러지용적지수포기조3계열_슬러지부피포기조3계열_활성슬러지농도포기조3계열_슬러지용적지수포기조4계열_슬러지부피포기조4계열_활성슬러지농도포기조4계열_슬러지용적지수생슬러지1계열_총고형물생슬러지2계열_총고형물생슬러지3계열_총고형물생슬러지4계열_총고형물잉여슬러지1계열_총고형물잉여슬러지1계열_총고형물_1잉여슬러지1계열_총고형물_2잉여슬러지1계열_총고형물_3생슬러지1계열_강열감량생슬러지2계열_강열감량생슬러지3계열_강열감량생슬러지4계열_강열감량잉여슬러지1계열_강열감량잉여슬러지2계열_강열감량잉여슬러지3계열_강열감량잉여슬러지4계열_강열감량탈수케익_함수율탈수케익_발생량탈수케익_처리량
3552022-12-22맑음212937184054915312.56.90297.00120.031.7493.466690000000.000.00.00.00.000.00.00.000.000.00.012.66.8017.20.010.013.9630.76700000000000000.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.0100.25100.25
3562022-12-23맑음208438187145945312.37.00173.30116.739.1983.69520000000.000.00.00.00.000.00.00.000.000.00.012.26.802.70.06.810.680.4320000000000000.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.041.3841.38
3572022-12-24맑음209949199146944612.06.90199.70116.732.5523.4766800000000.000.00.00.00.000.00.00.000.000.00.012.76.8011.30.04.012.7870.6900000000000000.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.089.3889.38
3582022-12-25맑음206481198380964912.66.90138.80123.332.4713.209520000000.000.00.00.00.000.00.00.000.000.00.012.56.809.40.04.113.590.66700000000000000.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.046.1146.11
3592022-12-26맑음207462198181975111.97.10167.00130.031.4113.45330000000.000.00.00.00.000.00.00.0012.812.812.712.912.66.703.00.08.013.2920.55704539201154539001153632401112524201030.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.089.4589.45
3602022-12-27맑음213697206487945212.27.00171.00110.035.5723.059600000000.000.00.00.00.000.00.00.000.000.00.012.36.702.90.06.013.5740.48300000000000000.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.065.8765.87
3612022-12-28208416194534965212.46.90402.80116.730.1433.232650000000.000.00.00.00.000.00.00.000.000.00.012.36.802.40.05.412.0740.49100000000000000.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.0122.55122.55
3622022-12-29209646198632955012.57.00227.60133.337.8244.039390000000.000.00.00.00.000.00.00.000.000.00.012.16.703.20.09.612.2870.69100000000000000.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.095.4795.47
3632022-12-30209548195899955012.37.00183.20110.034.5493.4771300000000.000.00.00.00.000.00.00.000.000.00.012.56.805.00.07.313.460.67800000000000000.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.098.8298.82
3642022-12-31맑음207329196820974612.66.90187.90106.731.1613.169970000000.000.00.00.00.000.00.00.000.000.00.012.76.802.60.03.512.8620.477130000000000000.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.066.9266.92