Overview

Dataset statistics

Number of variables21
Number of observations365
Missing cells1290
Missing cells (%)16.8%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory66.4 KiB
Average record size in memory186.4 B

Variable types

DateTime1
Numeric18
Text2

Dataset

Description인천환경공단 가좌사업소 위생분야 연도별 운영데이터로 음폐수, 위생관련 약품, 수질 농도 등의 정보가 포함되어 있으며 1년 주기로 업데이트됩니다.
Author공공데이터포털
URLhttps://www.data.go.kr/data/15042281/fileData.do

Alerts

유입수_COD has 12 (3.3%) missing valuesMissing
연계처리_기존_BOD has 128 (35.1%) missing valuesMissing
연계처리_기존_COD has 132 (36.2%) missing valuesMissing
연계처리_기존_SS has 128 (35.1%) missing valuesMissing
연계처리_기존_TN has 128 (35.1%) missing valuesMissing
연계처리_기존_TP has 128 (35.1%) missing valuesMissing
유입수_증설_COD has 12 (3.3%) missing valuesMissing
연계처리_증설_BOD has 122 (33.4%) missing valuesMissing
연계처리_증설_COD has 126 (34.5%) missing valuesMissing
연계처리_증설_SS has 122 (33.4%) missing valuesMissing
연계처리_증설_TN has 122 (33.4%) missing valuesMissing
연계처리_증설_TP has 122 (33.4%) missing valuesMissing
일자 has unique valuesUnique
연계처리_기존_BOD has 133 (36.4%) zerosZeros
연계처리_기존_COD has 133 (36.4%) zerosZeros
연계처리_기존_SS has 133 (36.4%) zerosZeros
연계처리_기존_TN has 133 (36.4%) zerosZeros
연계처리_기존_TP has 133 (36.4%) zerosZeros
연계처리_증설_BOD has 139 (38.1%) zerosZeros
연계처리_증설_COD has 139 (38.1%) zerosZeros
연계처리_증설_SS has 139 (38.1%) zerosZeros
연계처리_증설_TN has 139 (38.1%) zerosZeros
연계처리_증설_TP has 139 (38.1%) zerosZeros

Reproduction

Analysis started2024-04-17 21:26:22.458321
Analysis finished2024-04-17 21:26:22.681589
Duration0.22 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
2024-04-18T06:26:22.734953image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-18T06:26:22.839676image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

유입수_BOD
Real number (ℝ)

Distinct305
Distinct (%)83.8%
Missing1
Missing (%)0.3%
Infinite0
Infinite (%)0.0%
Mean3276.0516
Minimum0
Maximum14130
Zeros1
Zeros (%)0.3%
Negative0
Negative (%)0.0%
Memory size3.3 KiB
2024-04-18T06:26:22.945448image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1274.8
Q12007.5
median3029.4
Q34121.25
95-th percentile5815.5
Maximum14130
Range14130
Interquartile range (IQR)2113.75

Descriptive statistics

Standard deviation1670.2884
Coefficient of variation (CV)0.509848
Kurtosis7.3591992
Mean3276.0516
Median Absolute Deviation (MAD)1039.55
Skewness1.9167156
Sum1192482.8
Variance2789863.3
MonotonicityNot monotonic
2024-04-18T06:26:23.044748image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1915.0 4
 
1.1%
1865.0 3
 
0.8%
2785.0 3
 
0.8%
1860.0 3
 
0.8%
4597.5 3
 
0.8%
1920.0 3
 
0.8%
4170.0 3
 
0.8%
3285.0 3
 
0.8%
3292.5 2
 
0.5%
1950.0 2
 
0.5%
Other values (295) 335
91.8%
ValueCountFrequency (%)
0.0 1
0.3%
20.3 1
0.3%
808.0 1
0.3%
900.0 1
0.3%
905.0 1
0.3%
1123.3 1
0.3%
1170.0 1
0.3%
1206.7 1
0.3%
1223.3 2
0.5%
1226.7 1
0.3%
ValueCountFrequency (%)
14130.0 1
0.3%
11610.0 1
0.3%
9495.0 2
0.5%
9285.0 1
0.3%
8880.0 1
0.3%
8595.0 1
0.3%
8535.0 1
0.3%
8295.0 1
0.3%
7335.0 1
0.3%
6825.0 1
0.3%

유입수_COD
Real number (ℝ)

MISSING 

Distinct288
Distinct (%)81.6%
Missing12
Missing (%)3.3%
Infinite0
Infinite (%)0.0%
Mean2669.3793
Minimum0
Maximum8750
Zeros1
Zeros (%)0.3%
Negative0
Negative (%)0.0%
Memory size3.3 KiB
2024-04-18T06:26:23.152680image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile775.5
Q11942.3
median2723.3
Q33259.9
95-th percentile4453.34
Maximum8750
Range8750
Interquartile range (IQR)1317.6

Descriptive statistics

Standard deviation1162.7161
Coefficient of variation (CV)0.43557544
Kurtosis2.2982876
Mean2669.3793
Median Absolute Deviation (MAD)667.5
Skewness0.63461298
Sum942290.9
Variance1351908.7
MonotonicityNot monotonic
2024-04-18T06:26:23.258014image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
4465.4 4
 
1.1%
2418.9 4
 
1.1%
2803.4 3
 
0.8%
3283.9 3
 
0.8%
4084.9 3
 
0.8%
3033.6 3
 
0.8%
3864.6 3
 
0.8%
3153.8 3
 
0.8%
1942.3 3
 
0.8%
3444.1 3
 
0.8%
Other values (278) 321
87.9%
(Missing) 12
 
3.3%
ValueCountFrequency (%)
0.0 1
0.3%
267.9 1
0.3%
292.4 1
0.3%
460.6 1
0.3%
520.6 1
0.3%
602.7 1
0.3%
607.4 1
0.3%
622.7 1
0.3%
670.8 1
0.3%
673.3 1
0.3%
ValueCountFrequency (%)
8750.0 1
0.3%
7068.5 1
0.3%
6407.7 1
0.3%
6140.7 1
0.3%
5726.9 2
0.5%
5673.5 1
0.3%
5219.6 1
0.3%
5206.2 1
0.3%
5019.3 1
0.3%
4665.6 1
0.3%

유입수_SS
Real number (ℝ)

Distinct185
Distinct (%)50.8%
Missing1
Missing (%)0.3%
Infinite0
Infinite (%)0.0%
Mean5954.5871
Minimum0
Maximum44700
Zeros2
Zeros (%)0.5%
Negative0
Negative (%)0.0%
Memory size3.3 KiB
2024-04-18T06:26:23.382783image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1024.5
Q13200
median5500
Q37300
95-th percentile12800
Maximum44700
Range44700
Interquartile range (IQR)4100

Descriptive statistics

Standard deviation4554.4948
Coefficient of variation (CV)0.76487164
Kurtosis21.183888
Mean5954.5871
Median Absolute Deviation (MAD)2050
Skewness3.3717839
Sum2167469.7
Variance20743423
MonotonicityNot monotonic
2024-04-18T06:26:23.512064image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
5300.0 6
 
1.6%
7300.0 6
 
1.6%
4500.0 6
 
1.6%
5900.0 6
 
1.6%
2550.0 5
 
1.4%
6600.0 5
 
1.4%
6800.0 5
 
1.4%
5700.0 5
 
1.4%
6100.0 5
 
1.4%
6900.0 4
 
1.1%
Other values (175) 311
85.2%
ValueCountFrequency (%)
0.0 2
0.5%
360.0 1
0.3%
380.0 1
0.3%
480.0 1
0.3%
520.0 2
0.5%
548.7 1
0.3%
600.0 1
0.3%
625.0 1
0.3%
650.0 1
0.3%
725.0 1
0.3%
ValueCountFrequency (%)
44700.0 1
0.3%
37000.0 1
0.3%
28100.0 1
0.3%
20000.0 2
0.5%
19700.0 1
0.3%
19400.0 1
0.3%
18400.0 2
0.5%
15700.0 1
0.3%
15600.0 1
0.3%
14600.0 1
0.3%

유입수_TN
Real number (ℝ)

Distinct319
Distinct (%)87.6%
Missing1
Missing (%)0.3%
Infinite0
Infinite (%)0.0%
Mean418.04769
Minimum0
Maximum1826.4
Zeros1
Zeros (%)0.3%
Negative0
Negative (%)0.0%
Memory size3.3 KiB
2024-04-18T06:26:23.629909image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile177.234
Q1297
median400.1
Q3512.7
95-th percentile698.82
Maximum1826.4
Range1826.4
Interquartile range (IQR)215.7

Descriptive statistics

Standard deviation190.54204
Coefficient of variation (CV)0.45579019
Kurtosis11.117629
Mean418.04769
Median Absolute Deviation (MAD)105.8
Skewness2.1665966
Sum152169.36
Variance36306.268
MonotonicityNot monotonic
2024-04-18T06:26:23.746825image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
514.8 4
 
1.1%
525.6 3
 
0.8%
488.4 3
 
0.8%
317.4 3
 
0.8%
408.6 3
 
0.8%
433.2 3
 
0.8%
404.4 2
 
0.5%
494.4 2
 
0.5%
544.8 2
 
0.5%
481.2 2
 
0.5%
Other values (309) 337
92.3%
ValueCountFrequency (%)
0.0 1
0.3%
101.215 1
0.3%
112.651 1
0.3%
112.971 1
0.3%
113.233 1
0.3%
137.278 1
0.3%
152.0 1
0.3%
156.24 1
0.3%
157.183 1
0.3%
160.12 1
0.3%
ValueCountFrequency (%)
1826.4 1
0.3%
1435.2 1
0.3%
1312.8 1
0.3%
1042.8 1
0.3%
996.0 1
0.3%
988.8 1
0.3%
964.8 1
0.3%
909.6 1
0.3%
879.6 1
0.3%
865.2 1
0.3%

유입수_TP
Real number (ℝ)

Distinct342
Distinct (%)94.0%
Missing1
Missing (%)0.3%
Infinite0
Infinite (%)0.0%
Mean50.642
Minimum0
Maximum358.2
Zeros1
Zeros (%)0.3%
Negative0
Negative (%)0.0%
Memory size3.3 KiB
2024-04-18T06:26:23.872753image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile19.7918
Q135.232
median47.1
Q361.24275
95-th percentile81.85905
Maximum358.2
Range358.2
Interquartile range (IQR)26.01075

Descriptive statistics

Standard deviation29.42897
Coefficient of variation (CV)0.58111785
Kurtosis39.379472
Mean50.642
Median Absolute Deviation (MAD)12.78
Skewness4.7080888
Sum18433.688
Variance866.06429
MonotonicityNot monotonic
2024-04-18T06:26:23.982999image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
46.32 3
 
0.8%
44.64 2
 
0.5%
61.2 2
 
0.5%
56.64 2
 
0.5%
39.2 2
 
0.5%
74.4 2
 
0.5%
56.4 2
 
0.5%
61.8 2
 
0.5%
36.6 2
 
0.5%
33.9 2
 
0.5%
Other values (332) 343
94.0%
ValueCountFrequency (%)
0.0 1
0.3%
8.974 1
0.3%
9.774 1
0.3%
10.117 1
0.3%
13.16 1
0.3%
14.808 1
0.3%
15.06 1
0.3%
16.52 1
0.3%
16.648 1
0.3%
17.031 1
0.3%
ValueCountFrequency (%)
358.2 1
0.3%
223.56 1
0.3%
223.2 1
0.3%
191.04 1
0.3%
137.52 1
0.3%
130.74 1
0.3%
117.792 1
0.3%
108.24 1
0.3%
108.0 1
0.3%
101.58 1
0.3%

연계처리_기존_BOD
Real number (ℝ)

MISSING  ZEROS 

Distinct85
Distinct (%)35.9%
Missing128
Missing (%)35.1%
Infinite0
Infinite (%)0.0%
Mean5.7991561
Minimum0
Maximum47.2
Zeros133
Zeros (%)36.4%
Negative0
Negative (%)0.0%
Memory size3.3 KiB
2024-04-18T06:26:24.098954image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q38.7
95-th percentile27.64
Maximum47.2
Range47.2
Interquartile range (IQR)8.7

Descriptive statistics

Standard deviation9.824856
Coefficient of variation (CV)1.6941872
Kurtosis3.0600467
Mean5.7991561
Median Absolute Deviation (MAD)0
Skewness1.900722
Sum1374.4
Variance96.527796
MonotonicityNot monotonic
2024-04-18T06:26:24.206073image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 133
36.4%
0.5 2
 
0.5%
9.6 2
 
0.5%
25.0 2
 
0.5%
7.4 2
 
0.5%
9.3 2
 
0.5%
25.2 2
 
0.5%
1.4 2
 
0.5%
4.7 2
 
0.5%
1.7 2
 
0.5%
Other values (75) 86
23.6%
(Missing) 128
35.1%
ValueCountFrequency (%)
0.0 133
36.4%
0.5 2
 
0.5%
0.6 1
 
0.3%
0.8 1
 
0.3%
1.0 1
 
0.3%
1.1 1
 
0.3%
1.3 2
 
0.5%
1.4 2
 
0.5%
1.5 2
 
0.5%
1.6 2
 
0.5%
ValueCountFrequency (%)
47.2 1
0.3%
44.3 1
0.3%
40.5 1
0.3%
36.9 1
0.3%
35.4 1
0.3%
33.0 1
0.3%
31.0 1
0.3%
30.8 1
0.3%
30.4 1
0.3%
28.7 1
0.3%

연계처리_기존_COD
Real number (ℝ)

MISSING  ZEROS 

Distinct91
Distinct (%)39.1%
Missing132
Missing (%)36.2%
Infinite0
Infinite (%)0.0%
Mean18.773391
Minimum0
Maximum99.1
Zeros133
Zeros (%)36.4%
Negative0
Negative (%)0.0%
Memory size3.3 KiB
2024-04-18T06:26:24.319184image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q338.6
95-th percentile60.88
Maximum99.1
Range99.1
Interquartile range (IQR)38.6

Descriptive statistics

Standard deviation23.415556
Coefficient of variation (CV)1.2472737
Kurtosis-0.48582805
Mean18.773391
Median Absolute Deviation (MAD)0
Skewness0.79151595
Sum4374.2
Variance548.28825
MonotonicityNot monotonic
2024-04-18T06:26:24.434985image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 133
36.4%
33.5 3
 
0.8%
53.6 3
 
0.8%
37.6 2
 
0.5%
35.5 2
 
0.5%
41.9 2
 
0.5%
36.7 2
 
0.5%
45.4 2
 
0.5%
42.3 2
 
0.5%
42.8 1
 
0.3%
Other values (81) 81
22.2%
(Missing) 132
36.2%
ValueCountFrequency (%)
0.0 133
36.4%
9.7 1
 
0.3%
23.5 1
 
0.3%
28.4 1
 
0.3%
28.5 1
 
0.3%
29.2 1
 
0.3%
29.4 1
 
0.3%
29.6 1
 
0.3%
30.0 1
 
0.3%
30.2 1
 
0.3%
ValueCountFrequency (%)
99.1 1
0.3%
91.0 1
0.3%
72.6 1
0.3%
71.1 1
0.3%
67.3 1
0.3%
66.8 1
0.3%
66.6 1
0.3%
66.1 1
0.3%
63.1 1
0.3%
62.7 1
0.3%

연계처리_기존_SS
Real number (ℝ)

MISSING  ZEROS 

Distinct80
Distinct (%)33.8%
Missing128
Missing (%)35.1%
Infinite0
Infinite (%)0.0%
Mean13.696624
Minimum0
Maximum160
Zeros133
Zeros (%)36.4%
Negative0
Negative (%)0.0%
Memory size3.3 KiB
2024-04-18T06:26:24.541008image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q321.5
95-th percentile54.7
Maximum160
Range160
Interquartile range (IQR)21.5

Descriptive statistics

Standard deviation23.692928
Coefficient of variation (CV)1.729837
Kurtosis10.01033
Mean13.696624
Median Absolute Deviation (MAD)0
Skewness2.7400136
Sum3246.1
Variance561.35482
MonotonicityNot monotonic
2024-04-18T06:26:24.678061image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 133
36.4%
10.0 5
 
1.4%
12.0 4
 
1.1%
20.0 4
 
1.1%
41.0 3
 
0.8%
30.0 3
 
0.8%
88.0 2
 
0.5%
29.0 2
 
0.5%
18.0 2
 
0.5%
36.0 2
 
0.5%
Other values (70) 77
21.1%
(Missing) 128
35.1%
ValueCountFrequency (%)
0.0 133
36.4%
2.6 1
 
0.3%
3.0 1
 
0.3%
4.0 1
 
0.3%
4.3 1
 
0.3%
4.6 1
 
0.3%
4.8 2
 
0.5%
5.0 1
 
0.3%
5.2 1
 
0.3%
5.6 1
 
0.3%
ValueCountFrequency (%)
160.0 1
0.3%
136.7 1
0.3%
100.0 1
0.3%
93.3 1
0.3%
88.0 2
0.5%
84.0 1
0.3%
77.5 2
0.5%
72.0 1
0.3%
61.0 1
0.3%
57.5 1
0.3%

연계처리_기존_TN
Real number (ℝ)

MISSING  ZEROS 

Distinct103
Distinct (%)43.5%
Missing128
Missing (%)35.1%
Infinite0
Infinite (%)0.0%
Mean22.17503
Minimum0
Maximum166.898
Zeros133
Zeros (%)36.4%
Negative0
Negative (%)0.0%
Memory size3.3 KiB
2024-04-18T06:26:24.797029image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q346.454
95-th percentile78.0536
Maximum166.898
Range166.898
Interquartile range (IQR)46.454

Descriptive statistics

Standard deviation31.882613
Coefficient of variation (CV)1.437771
Kurtosis2.2897495
Mean22.17503
Median Absolute Deviation (MAD)0
Skewness1.5354724
Sum5255.482
Variance1016.501
MonotonicityNot monotonic
2024-04-18T06:26:24.940580image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 133
36.4%
33.145 2
 
0.5%
75.892 2
 
0.5%
8.581 1
 
0.3%
46.454 1
 
0.3%
50.587 1
 
0.3%
54.761 1
 
0.3%
55.68 1
 
0.3%
62.1 1
 
0.3%
78.944 1
 
0.3%
Other values (93) 93
25.5%
(Missing) 128
35.1%
ValueCountFrequency (%)
0.0 133
36.4%
5.315 1
 
0.3%
5.86 1
 
0.3%
8.388 1
 
0.3%
8.581 1
 
0.3%
8.793 1
 
0.3%
10.317 1
 
0.3%
11.249 1
 
0.3%
12.229 1
 
0.3%
12.382 1
 
0.3%
ValueCountFrequency (%)
166.898 1
0.3%
131.242 1
0.3%
123.089 1
0.3%
121.571 1
0.3%
118.273 1
0.3%
112.855 1
0.3%
106.559 1
0.3%
103.192 1
0.3%
102.844 1
0.3%
96.726 1
0.3%

연계처리_기존_TP
Real number (ℝ)

MISSING  ZEROS 

Distinct104
Distinct (%)43.9%
Missing128
Missing (%)35.1%
Infinite0
Infinite (%)0.0%
Mean6.7368819
Minimum0
Maximum30.551
Zeros133
Zeros (%)36.4%
Negative0
Negative (%)0.0%
Memory size3.3 KiB
2024-04-18T06:26:25.448219image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q314.467
95-th percentile20.4962
Maximum30.551
Range30.551
Interquartile range (IQR)14.467

Descriptive statistics

Standard deviation8.2623723
Coefficient of variation (CV)1.2264387
Kurtosis-1.155856
Mean6.7368819
Median Absolute Deviation (MAD)0
Skewness0.62559961
Sum1596.641
Variance68.266796
MonotonicityNot monotonic
2024-04-18T06:26:25.555826image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 133
36.4%
15.212 2
 
0.5%
11.157 1
 
0.3%
14.227 1
 
0.3%
13.365 1
 
0.3%
12.8 1
 
0.3%
12.215 1
 
0.3%
15.473 1
 
0.3%
14.783 1
 
0.3%
14.921 1
 
0.3%
Other values (94) 94
25.8%
(Missing) 128
35.1%
ValueCountFrequency (%)
0.0 133
36.4%
1.177 1
 
0.3%
1.19 1
 
0.3%
1.235 1
 
0.3%
1.287 1
 
0.3%
7.804 1
 
0.3%
8.554 1
 
0.3%
9.61 1
 
0.3%
10.241 1
 
0.3%
10.387 1
 
0.3%
ValueCountFrequency (%)
30.551 1
0.3%
25.038 1
0.3%
24.903 1
0.3%
23.572 1
0.3%
23.116 1
0.3%
22.882 1
0.3%
22.428 1
0.3%
22.411 1
0.3%
21.081 1
0.3%
20.762 1
0.3%

유입수_증설_BOD
Text

Distinct302
Distinct (%)83.0%
Missing1
Missing (%)0.3%
Memory size3.0 KiB
2024-04-18T06:26:25.854420image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length8
Median length4
Mean length4.7802198
Min length1

Characters and Unicode

Total characters1740
Distinct characters12
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique252 ?
Unique (%)69.2%

Sample

1st row1481.3
2nd row1845
3rd row1760
4th row3682.5
5th row3412.5
ValueCountFrequency (%)
3997.5 4
 
1.1%
5565 4
 
1.1%
5730 3
 
0.8%
1845 3
 
0.8%
4792.5 3
 
0.8%
4027.5 3
 
0.8%
4732.5 3
 
0.8%
1865 3
 
0.8%
4410 3
 
0.8%
1263.3 3
 
0.8%
Other values (292) 332
91.2%
2024-04-18T06:26:26.260262image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5 314
18.0%
0 212
12.2%
3 190
10.9%
2 165
9.5%
7 146
8.4%
4 140
8.0%
1 134
7.7%
. 133
7.6%
8 111
 
6.4%
6 102
 
5.9%
Other values (2) 93
 
5.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1596
91.7%
Other Punctuation 144
 
8.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 314
19.7%
0 212
13.3%
3 190
11.9%
2 165
10.3%
7 146
9.1%
4 140
8.8%
1 134
8.4%
8 111
 
7.0%
6 102
 
6.4%
9 82
 
5.1%
Other Punctuation
ValueCountFrequency (%)
. 133
92.4%
, 11
 
7.6%

Most occurring scripts

ValueCountFrequency (%)
Common 1740
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
5 314
18.0%
0 212
12.2%
3 190
10.9%
2 165
9.5%
7 146
8.4%
4 140
8.0%
1 134
7.7%
. 133
7.6%
8 111
 
6.4%
6 102
 
5.9%
Other values (2) 93
 
5.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1740
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5 314
18.0%
0 212
12.2%
3 190
10.9%
2 165
9.5%
7 146
8.4%
4 140
8.0%
1 134
7.7%
. 133
7.6%
8 111
 
6.4%
6 102
 
5.9%
Other values (2) 93
 
5.3%

유입수_증설_COD
Real number (ℝ)

MISSING 

Distinct307
Distinct (%)87.0%
Missing12
Missing (%)3.3%
Infinite0
Infinite (%)0.0%
Mean3887.6513
Minimum0
Maximum17861.4
Zeros1
Zeros (%)0.3%
Negative0
Negative (%)0.0%
Memory size3.3 KiB
2024-04-18T06:26:26.379123image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1295.52
Q12643.2
median3534.2
Q34575.5
95-th percentile8333.98
Maximum17861.4
Range17861.4
Interquartile range (IQR)1932.3

Descriptive statistics

Standard deviation2304.9124
Coefficient of variation (CV)0.59288044
Kurtosis7.8936837
Mean3887.6513
Median Absolute Deviation (MAD)961.2
Skewness2.190824
Sum1372340.9
Variance5312621.2
MonotonicityNot monotonic
2024-04-18T06:26:26.488423image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
3714.5 4
 
1.1%
2843.4 4
 
1.1%
4094.9 3
 
0.8%
4205.0 3
 
0.8%
4114.9 2
 
0.5%
3213.9 2
 
0.5%
3684.4 2
 
0.5%
4155.0 2
 
0.5%
5032.7 2
 
0.5%
6527.8 2
 
0.5%
Other values (297) 327
89.6%
(Missing) 12
 
3.3%
ValueCountFrequency (%)
0.0 1
0.3%
526.6 1
0.3%
600.7 1
0.3%
610.7 1
0.3%
643.3 1
0.3%
644.8 1
0.3%
676.4 1
0.3%
703.3 1
0.3%
748.9 1
0.3%
780.9 1
0.3%
ValueCountFrequency (%)
17861.4 1
0.3%
15578.7 1
0.3%
15298.3 1
0.3%
12935.5 1
0.3%
12054.4 1
0.3%
11647.3 1
0.3%
11346.9 1
0.3%
10069.2 1
0.3%
9600.0 1
0.3%
9471.4 1
0.3%

유입수_증설_SS
Text

Distinct232
Distinct (%)63.7%
Missing1
Missing (%)0.3%
Memory size3.0 KiB
2024-04-18T06:26:26.786984image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length9
Median length4
Mean length4.4093407
Min length1

Characters and Unicode

Total characters1605
Distinct characters12
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique154 ?
Unique (%)42.3%

Sample

1st row2750
2nd row1400
3rd row3850
4th row7950
5th row7950
ValueCountFrequency (%)
7700 7
 
1.9%
5200 7
 
1.9%
4300 6
 
1.6%
6100 5
 
1.4%
8300 5
 
1.4%
5600 4
 
1.1%
5400 4
 
1.1%
6800 4
 
1.1%
6200 4
 
1.1%
8400 4
 
1.1%
Other values (222) 314
86.3%
2024-04-18T06:26:27.193680image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 684
42.6%
5 189
 
11.8%
1 152
 
9.5%
2 95
 
5.9%
7 90
 
5.6%
8 82
 
5.1%
4 81
 
5.0%
6 77
 
4.8%
3 69
 
4.3%
9 61
 
3.8%
Other values (2) 25
 
1.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1580
98.4%
Other Punctuation 25
 
1.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 684
43.3%
5 189
 
12.0%
1 152
 
9.6%
2 95
 
6.0%
7 90
 
5.7%
8 82
 
5.2%
4 81
 
5.1%
6 77
 
4.9%
3 69
 
4.4%
9 61
 
3.9%
Other Punctuation
ValueCountFrequency (%)
. 14
56.0%
, 11
44.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1605
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 684
42.6%
5 189
 
11.8%
1 152
 
9.5%
2 95
 
5.9%
7 90
 
5.6%
8 82
 
5.1%
4 81
 
5.0%
6 77
 
4.8%
3 69
 
4.3%
9 61
 
3.8%
Other values (2) 25
 
1.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1605
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 684
42.6%
5 189
 
11.8%
1 152
 
9.5%
2 95
 
5.9%
7 90
 
5.6%
8 82
 
5.1%
4 81
 
5.0%
6 77
 
4.8%
3 69
 
4.3%
9 61
 
3.8%
Other values (2) 25
 
1.6%

유입수_증설_TN
Real number (ℝ)

Distinct321
Distinct (%)88.2%
Missing1
Missing (%)0.3%
Infinite0
Infinite (%)0.0%
Mean529.13809
Minimum0
Maximum2976
Zeros1
Zeros (%)0.3%
Negative0
Negative (%)0.0%
Memory size3.3 KiB
2024-04-18T06:26:27.331849image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile199.57095
Q1341.7
median472.4
Q3612.3
95-th percentile1090.92
Maximum2976
Range2976
Interquartile range (IQR)270.6

Descriptive statistics

Standard deviation299.10338
Coefficient of variation (CV)0.56526526
Kurtosis13.67103
Mean529.13809
Median Absolute Deviation (MAD)136.8
Skewness2.5908766
Sum192606.26
Variance89462.831
MonotonicityNot monotonic
2024-04-18T06:26:27.463459image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
600.0 4
 
1.1%
388.8 3
 
0.8%
535.2 3
 
0.8%
562.8 3
 
0.8%
519.6 2
 
0.5%
726.0 2
 
0.5%
366.0 2
 
0.5%
450.0 2
 
0.5%
448.8 2
 
0.5%
463.2 2
 
0.5%
Other values (311) 339
92.9%
ValueCountFrequency (%)
0.0 1
0.3%
34.36 1
0.3%
57.12 1
0.3%
96.729 1
0.3%
96.935 1
0.3%
100.217 1
0.3%
142.2 1
0.3%
163.68 1
0.3%
174.863 1
0.3%
175.851 1
0.3%
ValueCountFrequency (%)
2976.0 1
0.3%
1790.4 1
0.3%
1749.6 1
0.3%
1447.2 1
0.3%
1382.4 1
0.3%
1368.0 2
0.5%
1363.2 1
0.3%
1344.0 1
0.3%
1329.6 1
0.3%
1296.0 1
0.3%

유입수_증설_TP
Real number (ℝ)

Distinct339
Distinct (%)93.1%
Missing1
Missing (%)0.3%
Infinite0
Infinite (%)0.0%
Mean443.06026
Minimum0
Maximum96000
Zeros1
Zeros (%)0.3%
Negative0
Negative (%)0.0%
Memory size3.3 KiB
2024-04-18T06:26:27.588867image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile24.71155
Q140.18
median52.95
Q370.08
95-th percentile119.568
Maximum96000
Range96000
Interquartile range (IQR)29.9

Descriptive statistics

Standard deviation5525.3421
Coefficient of variation (CV)12.470859
Kurtosis258.33506
Mean443.06026
Median Absolute Deviation (MAD)13.6445
Skewness15.684982
Sum161273.93
Variance30529406
MonotonicityNot monotonic
2024-04-18T06:26:27.733740image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
73.62 3
 
0.8%
57.72 3
 
0.8%
58.68 2
 
0.5%
48.528 2
 
0.5%
41.2 2
 
0.5%
56.64 2
 
0.5%
70.08 2
 
0.5%
48.0 2
 
0.5%
50.4 2
 
0.5%
52.8 2
 
0.5%
Other values (329) 342
93.7%
ValueCountFrequency (%)
0.0 1
0.3%
9.306 1
0.3%
9.658 1
0.3%
9.857 1
0.3%
16.48 1
0.3%
16.64 1
0.3%
17.299 1
0.3%
17.828 1
0.3%
17.916 1
0.3%
18.937 1
0.3%
ValueCountFrequency (%)
96000.0 1
0.3%
44000.0 1
0.3%
303.12 1
0.3%
270.36 1
0.3%
207.96 1
0.3%
190.56 1
0.3%
167.88 1
0.3%
154.56 1
0.3%
137.88 1
0.3%
135.36 1
0.3%

연계처리_증설_BOD
Real number (ℝ)

MISSING  ZEROS 

Distinct84
Distinct (%)34.6%
Missing122
Missing (%)33.4%
Infinite0
Infinite (%)0.0%
Mean6.0995885
Minimum0
Maximum60.5
Zeros139
Zeros (%)38.1%
Negative0
Negative (%)0.0%
Memory size3.3 KiB
2024-04-18T06:26:27.839855image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q37.45
95-th percentile30.17
Maximum60.5
Range60.5
Interquartile range (IQR)7.45

Descriptive statistics

Standard deviation11.067623
Coefficient of variation (CV)1.8144868
Kurtosis4.5348627
Mean6.0995885
Median Absolute Deviation (MAD)0
Skewness2.1574056
Sum1482.2
Variance122.49227
MonotonicityNot monotonic
2024-04-18T06:26:27.957545image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 139
38.1%
1.7 3
 
0.8%
1.1 3
 
0.8%
2.0 3
 
0.8%
2.1 2
 
0.5%
16.9 2
 
0.5%
29.9 2
 
0.5%
14.8 2
 
0.5%
2.9 2
 
0.5%
1.9 2
 
0.5%
Other values (74) 83
22.7%
(Missing) 122
33.4%
ValueCountFrequency (%)
0.0 139
38.1%
0.4 1
 
0.3%
0.5 1
 
0.3%
0.7 2
 
0.5%
1.1 3
 
0.8%
1.2 1
 
0.3%
1.5 2
 
0.5%
1.6 1
 
0.3%
1.7 3
 
0.8%
1.9 2
 
0.5%
ValueCountFrequency (%)
60.5 1
0.3%
50.1 1
0.3%
46.3 1
0.3%
44.2 1
0.3%
40.5 1
0.3%
37.7 1
0.3%
37.3 1
0.3%
36.2 1
0.3%
34.1 1
0.3%
32.4 1
0.3%

연계처리_증설_COD
Real number (ℝ)

MISSING  ZEROS 

Distinct86
Distinct (%)36.0%
Missing126
Missing (%)34.5%
Infinite0
Infinite (%)0.0%
Mean18.776151
Minimum0
Maximum97.6
Zeros139
Zeros (%)38.1%
Negative0
Negative (%)0.0%
Memory size3.3 KiB
2024-04-18T06:26:28.110363image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q339.3
95-th percentile60.64
Maximum97.6
Range97.6
Interquartile range (IQR)39.3

Descriptive statistics

Standard deviation23.800347
Coefficient of variation (CV)1.267584
Kurtosis-0.75287209
Mean18.776151
Median Absolute Deviation (MAD)0
Skewness0.76499909
Sum4487.5
Variance566.45653
MonotonicityNot monotonic
2024-04-18T06:26:28.225638image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 139
38.1%
35.6 3
 
0.8%
34.4 3
 
0.8%
60.5 2
 
0.5%
29.5 2
 
0.5%
65.1 2
 
0.5%
58.6 2
 
0.5%
37.1 2
 
0.5%
50.4 2
 
0.5%
48.1 2
 
0.5%
Other values (76) 80
21.9%
(Missing) 126
34.5%
ValueCountFrequency (%)
0.0 139
38.1%
8.4 1
 
0.3%
25.2 1
 
0.3%
27.1 1
 
0.3%
27.6 1
 
0.3%
28.6 1
 
0.3%
29.3 1
 
0.3%
29.5 2
 
0.5%
29.6 1
 
0.3%
29.7 1
 
0.3%
ValueCountFrequency (%)
97.6 1
0.3%
73.6 1
0.3%
72.9 1
0.3%
72.1 1
0.3%
69.9 1
0.3%
66.7 1
0.3%
65.3 1
0.3%
65.1 2
0.5%
64.4 1
0.3%
62.7 1
0.3%

연계처리_증설_SS
Real number (ℝ)

MISSING  ZEROS 

Distinct83
Distinct (%)34.2%
Missing122
Missing (%)33.4%
Infinite0
Infinite (%)0.0%
Mean15.507531
Minimum0
Maximum146.7
Zeros139
Zeros (%)38.1%
Negative0
Negative (%)0.0%
Memory size3.3 KiB
2024-04-18T06:26:28.363865image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q325.5
95-th percentile66.87
Maximum146.7
Range146.7
Interquartile range (IQR)25.5

Descriptive statistics

Standard deviation24.518305
Coefficient of variation (CV)1.581058
Kurtosis4.3417035
Mean15.507531
Median Absolute Deviation (MAD)0
Skewness1.9624474
Sum3768.33
Variance601.1473
MonotonicityNot monotonic
2024-04-18T06:26:28.482896image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 139
38.1%
22.0 3
 
0.8%
17.0 3
 
0.8%
12.0 3
 
0.8%
60.0 3
 
0.8%
32.0 2
 
0.5%
16.0 2
 
0.5%
67.0 2
 
0.5%
18.0 2
 
0.5%
34.0 2
 
0.5%
Other values (73) 82
22.5%
(Missing) 122
33.4%
ValueCountFrequency (%)
0.0 139
38.1%
4.3 1
 
0.3%
5.0 1
 
0.3%
6.7 1
 
0.3%
7.0 2
 
0.5%
8.0 1
 
0.3%
8.7 1
 
0.3%
9.0 1
 
0.3%
9.2 1
 
0.3%
9.5 1
 
0.3%
ValueCountFrequency (%)
146.7 1
0.3%
102.5 1
0.3%
90.0 2
0.5%
88.0 1
0.3%
86.0 1
0.3%
84.0 1
0.3%
80.0 2
0.5%
79.0 1
0.3%
72.0 1
0.3%
67.0 2
0.5%

연계처리_증설_TN
Real number (ℝ)

MISSING  ZEROS 

Distinct104
Distinct (%)42.8%
Missing122
Missing (%)33.4%
Infinite0
Infinite (%)0.0%
Mean26.780082
Minimum0
Maximum128.401
Zeros139
Zeros (%)38.1%
Negative0
Negative (%)0.0%
Memory size3.3 KiB
2024-04-18T06:26:28.605910image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q356.518
95-th percentile81.9144
Maximum128.401
Range128.401
Interquartile range (IQR)56.518

Descriptive statistics

Standard deviation32.637351
Coefficient of variation (CV)1.2187173
Kurtosis-1.0960243
Mean26.780082
Median Absolute Deviation (MAD)0
Skewness0.61845528
Sum6507.56
Variance1065.1966
MonotonicityNot monotonic
2024-04-18T06:26:28.733730image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 139
38.1%
84.399 2
 
0.5%
51.644 1
 
0.3%
69.938 1
 
0.3%
45.132 1
 
0.3%
48.63 1
 
0.3%
50.17 1
 
0.3%
57.296 1
 
0.3%
57.31 1
 
0.3%
67.696 1
 
0.3%
Other values (94) 94
25.8%
(Missing) 122
33.4%
ValueCountFrequency (%)
0.0 139
38.1%
23.734 1
 
0.3%
38.459 1
 
0.3%
40.216 1
 
0.3%
42.019 1
 
0.3%
43.536 1
 
0.3%
43.965 1
 
0.3%
45.014 1
 
0.3%
45.132 1
 
0.3%
45.696 1
 
0.3%
ValueCountFrequency (%)
128.401 1
0.3%
100.609 1
0.3%
98.461 1
0.3%
91.503 1
0.3%
89.614 1
0.3%
87.94 1
0.3%
87.707 1
0.3%
86.147 1
0.3%
84.399 2
0.5%
82.211 1
0.3%

연계처리_증설_TP
Real number (ℝ)

MISSING  ZEROS 

Distinct104
Distinct (%)42.8%
Missing122
Missing (%)33.4%
Infinite0
Infinite (%)0.0%
Mean6.1768683
Minimum0
Maximum29.561
Zeros139
Zeros (%)38.1%
Negative0
Negative (%)0.0%
Memory size3.3 KiB
2024-04-18T06:26:28.861456image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q312.5115
95-th percentile19.8667
Maximum29.561
Range29.561
Interquartile range (IQR)12.5115

Descriptive statistics

Standard deviation7.8739937
Coefficient of variation (CV)1.274755
Kurtosis-0.73237966
Mean6.1768683
Median Absolute Deviation (MAD)0
Skewness0.81392498
Sum1500.979
Variance61.999777
MonotonicityNot monotonic
2024-04-18T06:26:28.973766image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 139
38.1%
17.374 2
 
0.5%
8.463 1
 
0.3%
17.216 1
 
0.3%
12.683 1
 
0.3%
13.01 1
 
0.3%
12.184 1
 
0.3%
15.297 1
 
0.3%
15.079 1
 
0.3%
15.357 1
 
0.3%
Other values (94) 94
25.8%
(Missing) 122
33.4%
ValueCountFrequency (%)
0.0 139
38.1%
5.723 1
 
0.3%
5.743 1
 
0.3%
6.523 1
 
0.3%
6.766 1
 
0.3%
7.101 1
 
0.3%
7.254 1
 
0.3%
7.436 1
 
0.3%
7.663 1
 
0.3%
7.752 1
 
0.3%
ValueCountFrequency (%)
29.561 1
0.3%
26.94 1
0.3%
24.62 1
0.3%
23.886 1
0.3%
23.488 1
0.3%
23.003 1
0.3%
21.935 1
0.3%
21.733 1
0.3%
21.452 1
0.3%
20.857 1
0.3%

Sample

일자유입수_BOD유입수_COD유입수_SS유입수_TN유입수_TP연계처리_기존_BOD연계처리_기존_COD연계처리_기존_SS연계처리_기존_TN연계처리_기존_TP유입수_증설_BOD유입수_증설_COD유입수_증설_SS유입수_증설_TN유입수_증설_TP연계처리_증설_BOD연계처리_증설_COD연계처리_증설_SS연계처리_증설_TN연계처리_증설_TP
02022-01-011885.01486.84550.0344.74136.651<NA><NA><NA><NA><NA>1481.31411.72750183.7919.68<NA><NA><NA><NA><NA>
12022-01-021920.01141.43050.0181.36918.884<NA><NA><NA><NA><NA>18451007.41400177.96117.916<NA><NA><NA><NA><NA>
22022-01-031170.01157.81500.0181.63323.179<NA><NA><NA><NA><NA>17601807.23850174.86317.828<NA><NA><NA><NA><NA>
32022-01-041123.31197.4880.0196.1826.037<NA><NA><NA><NA><NA>3682.53394.17950184.32424.514<NA><NA><NA><NA><NA>
42022-01-051560.02496.34750.0245.00636.7141.023.59.537.897.8043412.53534.27950244.50333.3082.025.27.056.26517.286
52022-01-062785.02669.96700.0222.28730.4325.636.015.065.14316.6913217.53364.010250270.27136.9161.131.726.038.4597.855
62022-01-072765.03003.66850.0645.4561.237<NA><NA><NA><NA><NA>16852643.27150333.44236.549<NA><NA><NA><NA><NA>
72022-01-088535.02483.05500.0297.96438.131<NA><NA><NA><NA><NA>88352322.85200201.67325.686<NA><NA><NA><NA><NA>
82022-01-092110.02072.54250.0295.90131.101<NA><NA><NA><NA><NA>1426.71634.02100251.0431.838<NA><NA><NA><NA><NA>
92022-01-101541.31982.43250.0219.92222.59<NA><NA><NA><NA><NA>1536.71706.01750262.64734.18<NA><NA><NA><NA><NA>
일자유입수_BOD유입수_COD유입수_SS유입수_TN유입수_TP연계처리_기존_BOD연계처리_기존_COD연계처리_기존_SS연계처리_기존_TN연계처리_기존_TP유입수_증설_BOD유입수_증설_COD유입수_증설_SS유입수_증설_TN유입수_증설_TP연계처리_증설_BOD연계처리_증설_COD연계처리_증설_SS연계처리_증설_TN연계처리_증설_TP
3552022-12-221865.02523.03800.0488.4137.5210.039.422.08.58114.6493877.53788.58500727.2167.881.937.917.248.2069.095
3562022-12-232635.02896.87400.0529.890.36<NA><NA><NA><NA><NA>25402723.35700490.280.820.00.00.00.00.0
3572022-12-242840.02699.24900.0482.450.64<NA><NA><NA><NA><NA>24452987.65800441.654.840.00.00.00.00.0
3582022-12-25808.0745.91100.0237.023.0<NA><NA><NA><NA><NA>750780.91000142.216.640.00.00.00.00.0
3592022-12-261860.01153.41200.0222.623.68<NA><NA><NA><NA><NA>3272.54057.011800612.072.720.00.00.00.00.0
3602022-12-273592.51411.74050.0388.836.18<NA><NA><NA><NA><NA>33153744.58500814.876.32<NA><NA><NA><NA><NA>
3612022-12-281226.7693.3520.0259.218.45.438.122.35.31511.1571293.3703.3780263.436.22.646.834.551.6448.463
3622022-12-293030.03131.86400.0528.057.723.130.05.68.79310.3873098.83444.17700465.652.561.634.418.851.7517.663
3632022-12-304717.52549.78000.0596.461.86<NA><NA><NA><NA><NA>3222.52875.46300366.039.96<NA><NA><NA><NA><NA>
3642022-12-313735.05219.612000.0494.489.1<NA><NA><NA><NA><NA>57304739.017800520.888.32<NA><NA><NA><NA><NA>