Overview

Dataset statistics

Number of variables51
Number of observations10000
Missing cells5343
Missing cells (%)1.0%
Duplicate rows57
Duplicate rows (%)0.6%
Total size in memory4.4 MiB
Average record size in memory457.0 B

Variable types

Text2
Numeric41
DateTime8

Dataset

Description충청남도 아산시 상하수도 월별(2022.01~2022.10) 요금부과자료로서 사용량, 사용료, 검침일 등을 포함합니다.
Author충청남도
URLhttps://alldam.chungnam.go.kr/index.chungnam?menuCd=DOM_000000201001001001&st=&cds=&orgCd=&apiType=&isOpen=Y&pageIndex=311&beforeMenuCd=DOM_000000201001001000&publicdatapk=15093731

Alerts

Dataset has 57 (0.6%) duplicate rowsDuplicates
2022년01월지침 has 210 (2.1%) missing valuesMissing
2022년01월사용량 has 210 (2.1%) missing valuesMissing
2022년01월사용료 has 210 (2.1%) missing valuesMissing
2022년02월검침일 has 179 (1.8%) missing valuesMissing
2022년02월지침 has 179 (1.8%) missing valuesMissing
2022년02월사용량 has 179 (1.8%) missing valuesMissing
2022년02월사용료 has 179 (1.8%) missing valuesMissing
2022년03월검침일 has 167 (1.7%) missing valuesMissing
2022년03월지침 has 167 (1.7%) missing valuesMissing
2022년03월사용량 has 167 (1.7%) missing valuesMissing
2022년03월사용료 has 167 (1.7%) missing valuesMissing
2022년04월검침일 has 162 (1.6%) missing valuesMissing
2022년04월지침 has 162 (1.6%) missing valuesMissing
2022년04월사용량 has 162 (1.6%) missing valuesMissing
2022년04월사용료 has 162 (1.6%) missing valuesMissing
2022년05월검침일 has 142 (1.4%) missing valuesMissing
2022년05월지침 has 142 (1.4%) missing valuesMissing
2022년05월사용량 has 142 (1.4%) missing valuesMissing
2022년05월사용료 has 142 (1.4%) missing valuesMissing
2022년06월검침일 has 118 (1.2%) missing valuesMissing
2022년06월지침 has 118 (1.2%) missing valuesMissing
2022년06월사용량 has 118 (1.2%) missing valuesMissing
2022년06월사용료 has 118 (1.2%) missing valuesMissing
2022년01월물부담금 has 210 (2.1%) missing valuesMissing
2022년02월물부담금 has 179 (1.8%) missing valuesMissing
2022년03월물부담금 has 167 (1.7%) missing valuesMissing
2022년04월물부담금 has 162 (1.6%) missing valuesMissing
2022년05월물부담금 has 142 (1.4%) missing valuesMissing
2022년06월물부담금 has 118 (1.2%) missing valuesMissing
2022년01월지침 is highly skewed (γ1 = 29.61870626)Skewed
2022년01월사용량 is highly skewed (γ1 = 49.5546081)Skewed
2022년01월사용료 is highly skewed (γ1 = 45.61480295)Skewed
2022년02월지침 is highly skewed (γ1 = 29.25597525)Skewed
2022년02월사용량 is highly skewed (γ1 = 48.73080338)Skewed
2022년02월사용료 is highly skewed (γ1 = 44.67624518)Skewed
2022년03월지침 is highly skewed (γ1 = 30.17235969)Skewed
2022년03월사용량 is highly skewed (γ1 = 45.63059127)Skewed
2022년03월사용료 is highly skewed (γ1 = 41.00223574)Skewed
2022년04월지침 is highly skewed (γ1 = 29.70679438)Skewed
2022년04월사용량 is highly skewed (γ1 = 52.94534761)Skewed
2022년04월사용료 is highly skewed (γ1 = 49.39334324)Skewed
2022년05월지침 is highly skewed (γ1 = 30.33736309)Skewed
2022년05월사용량 is highly skewed (γ1 = 46.83502744)Skewed
2022년05월사용료 is highly skewed (γ1 = 42.50906469)Skewed
2022년06월지침 is highly skewed (γ1 = 30.73329068)Skewed
2022년06월사용량 is highly skewed (γ1 = 48.95050352)Skewed
2022년06월사용료 is highly skewed (γ1 = 44.51619517)Skewed
2022년07월지침 is highly skewed (γ1 = 30.41855649)Skewed
2022년07월사용량 is highly skewed (γ1 = 47.28484553)Skewed
2022년07월사용료 is highly skewed (γ1 = 42.26419096)Skewed
2022년08월지침 is highly skewed (γ1 = 30.09755284)Skewed
2022년08월사용량 is highly skewed (γ1 = 48.22733534)Skewed
2022년08월사용료 is highly skewed (γ1 = 45.60664071)Skewed
2022년09월지침 is highly skewed (γ1 = 29.87441995)Skewed
2022년09월사용량 is highly skewed (γ1 = 47.19495805)Skewed
2022년09월사용료 is highly skewed (γ1 = 43.86027323)Skewed
2022년10월지침 is highly skewed (γ1 = 99.66712111)Skewed
2022년10월사용량 is highly skewed (γ1 = 99.26567238)Skewed
2022년10월사용료 is highly skewed (γ1 = 98.40397562)Skewed
사용료합계 is highly skewed (γ1 = 49.62356473)Skewed
2022년01월물부담금 is highly skewed (γ1 = 49.61592768)Skewed
2022년02월물부담금 is highly skewed (γ1 = 48.74379152)Skewed
2022년03월물부담금 is highly skewed (γ1 = 45.63435075)Skewed
2022년04월물부담금 is highly skewed (γ1 = 52.98512158)Skewed
2022년05월물부담금 is highly skewed (γ1 = 46.84489033)Skewed
2022년06월물부담금 is highly skewed (γ1 = 48.9580331)Skewed
2022년07월물부담금 is highly skewed (γ1 = 47.29148276)Skewed
2022년08월물부담금 is highly skewed (γ1 = 49.09530222)Skewed
2022년09월물부담금 is highly skewed (γ1 = 47.71219307)Skewed
2022년10월물부담금 is highly skewed (γ1 = 98.86832884)Skewed
2022년01월지침 has 324 (3.2%) zerosZeros
2022년01월사용량 has 1652 (16.5%) zerosZeros
2022년01월사용료 has 647 (6.5%) zerosZeros
2022년02월지침 has 322 (3.2%) zerosZeros
2022년02월사용량 has 1718 (17.2%) zerosZeros
2022년02월사용료 has 646 (6.5%) zerosZeros
2022년03월지침 has 322 (3.2%) zerosZeros
2022년03월사용량 has 1743 (17.4%) zerosZeros
2022년03월사용료 has 672 (6.7%) zerosZeros
2022년04월지침 has 322 (3.2%) zerosZeros
2022년04월사용량 has 1729 (17.3%) zerosZeros
2022년04월사용료 has 687 (6.9%) zerosZeros
2022년05월지침 has 320 (3.2%) zerosZeros
2022년05월사용량 has 1616 (16.2%) zerosZeros
2022년05월사용료 has 690 (6.9%) zerosZeros
2022년06월지침 has 321 (3.2%) zerosZeros
2022년06월사용량 has 1538 (15.4%) zerosZeros
2022년06월사용료 has 698 (7.0%) zerosZeros
2022년07월지침 has 319 (3.2%) zerosZeros
2022년07월사용량 has 1517 (15.2%) zerosZeros
2022년07월사용료 has 697 (7.0%) zerosZeros
2022년08월지침 has 318 (3.2%) zerosZeros
2022년08월사용량 has 1564 (15.6%) zerosZeros
2022년08월사용료 has 712 (7.1%) zerosZeros
2022년09월지침 has 320 (3.2%) zerosZeros
2022년09월사용량 has 1609 (16.1%) zerosZeros
2022년09월사용료 has 712 (7.1%) zerosZeros
2022년10월지침 has 316 (3.2%) zerosZeros
2022년10월사용량 has 1646 (16.5%) zerosZeros
2022년10월사용료 has 720 (7.2%) zerosZeros
사용료합계 has 596 (6.0%) zerosZeros
2022년01월물부담금 has 1617 (16.2%) zerosZeros
2022년02월물부담금 has 1700 (17.0%) zerosZeros
2022년03월물부담금 has 1722 (17.2%) zerosZeros
2022년04월물부담금 has 1697 (17.0%) zerosZeros
2022년05월물부담금 has 1591 (15.9%) zerosZeros
2022년06월물부담금 has 1523 (15.2%) zerosZeros
2022년07월물부담금 has 1497 (15.0%) zerosZeros
2022년08월물부담금 has 1539 (15.4%) zerosZeros
2022년09월물부담금 has 1585 (15.8%) zerosZeros
2022년10월물부담금 has 1610 (16.1%) zerosZeros

Reproduction

Analysis started2024-01-09 21:34:05.109830
Analysis finished2024-01-09 21:34:06.242986
Duration1.13 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

주소
Text

Distinct249
Distinct (%)2.5%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2024-01-10T06:34:06.455901image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length10
Mean length10.2416
Min length10

Characters and Unicode

Total characters102416
Distinct characters123
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique73 ?
Unique (%)0.7%

Sample

1st row충남 아산시 탕정면
2nd row충남 아산시 온천1동
3rd row충남 아산시 온양역길
4th row충남 아산시 온주길4
5th row충남 아산시 용화로1
ValueCountFrequency (%)
아산시 10013
33.4%
충남 10000
33.3%
배방읍 1412
 
4.7%
둔포면 1235
 
4.1%
영인면 790
 
2.6%
탕정면 731
 
2.4%
신창면 608
 
2.0%
염치읍 582
 
1.9%
인주면 515
 
1.7%
도고면 395
 
1.3%
Other values (222) 3728
 
12.4%
2024-01-10T06:34:06.847492image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
20215
19.7%
시 10455
10.2%
산 10244
10.0%
남 10194
10.0%
충 10130
9.9%
아 10092
9.9%
면 4448
 
4.3%
로 2840
 
2.8%
읍 2014
 
2.0%
방 1511
 
1.5%
Other values (113) 20273
19.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 80814
78.9%
Space Separator 20215
 
19.7%
Decimal Number 1377
 
1.3%
Other Punctuation 9
 
< 0.1%
Open Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
시 10455
12.9%
산 10244
12.7%
남 10194
12.6%
충 10130
12.5%
아 10092
12.5%
면 4448
 
5.5%
로 2840
 
3.5%
읍 2014
 
2.5%
방 1511
 
1.9%
배 1467
 
1.8%
Other values (101) 17419
21.6%
Decimal Number
ValueCountFrequency (%)
1 419
30.4%
2 300
21.8%
4 194
14.1%
3 134
 
9.7%
8 113
 
8.2%
9 68
 
4.9%
6 54
 
3.9%
7 48
 
3.5%
5 47
 
3.4%
Space Separator
ValueCountFrequency (%)
20215
100.0%
Other Punctuation
ValueCountFrequency (%)
* 9
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 80814
78.9%
Common 21602
 
21.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
시 10455
12.9%
산 10244
12.7%
남 10194
12.6%
충 10130
12.5%
아 10092
12.5%
면 4448
 
5.5%
로 2840
 
3.5%
읍 2014
 
2.5%
방 1511
 
1.9%
배 1467
 
1.8%
Other values (101) 17419
21.6%
Common
ValueCountFrequency (%)
20215
93.6%
1 419
 
1.9%
2 300
 
1.4%
4 194
 
0.9%
3 134
 
0.6%
8 113
 
0.5%
9 68
 
0.3%
6 54
 
0.2%
7 48
 
0.2%
5 47
 
0.2%
Other values (2) 10
 
< 0.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 80814
78.9%
ASCII 21602
 
21.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
20215
93.6%
1 419
 
1.9%
2 300
 
1.4%
4 194
 
0.9%
3 134
 
0.6%
8 113
 
0.5%
9 68
 
0.3%
6 54
 
0.2%
7 48
 
0.2%
5 47
 
0.2%
Other values (2) 10
 
< 0.1%
Hangul
ValueCountFrequency (%)
시 10455
12.9%
산 10244
12.7%
남 10194
12.6%
충 10130
12.5%
아 10092
12.5%
면 4448
 
5.5%
로 2840
 
3.5%
읍 2014
 
2.5%
방 1511
 
1.9%
배 1467
 
1.8%
Other values (101) 17419
21.6%

2022년01월지침
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct3474
Distinct (%)35.5%
Missing210
Missing (%)2.1%
Infinite0
Infinite (%)0.0%
Mean3012.7178
Minimum0
Maximum1410830
Zeros324
Zeros (%)3.2%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-01-10T06:34:06.959512image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q1146
median561.5
Q31566.75
95-th percentile8147.55
Maximum1410830
Range1410830
Interquartile range (IQR)1420.75

Descriptive statistics

Standard deviation28352.951
Coefficient of variation (CV)9.4110875
Kurtosis1066.5598
Mean3012.7178
Median Absolute Deviation (MAD)499.5
Skewness29.618706
Sum29494507
Variance8.0388981 × 108
MonotonicityNot monotonic
2024-01-10T06:34:07.077463image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 324
 
3.2%
1 184
 
1.8%
2 103
 
1.0%
4 36
 
0.4%
3 33
 
0.3%
5 30
 
0.3%
11 29
 
0.3%
7 24
 
0.2%
6 24
 
0.2%
56 22
 
0.2%
Other values (3464) 8981
89.8%
(Missing) 210
 
2.1%
ValueCountFrequency (%)
0 324
3.2%
1 184
1.8%
2 103
 
1.0%
3 33
 
0.3%
4 36
 
0.4%
5 30
 
0.3%
6 24
 
0.2%
7 24
 
0.2%
8 19
 
0.2%
9 17
 
0.2%
ValueCountFrequency (%)
1410830 1
< 0.1%
911319 1
< 0.1%
878642 1
< 0.1%
850837 1
< 0.1%
740585 1
< 0.1%
732374 1
< 0.1%
592841 1
< 0.1%
551671 1
< 0.1%
532680 1
< 0.1%
502467 1
< 0.1%

2022년01월사용량
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct417
Distinct (%)4.3%
Missing210
Missing (%)2.1%
Infinite0
Infinite (%)0.0%
Mean85.932584
Minimum0
Maximum85511
Zeros1652
Zeros (%)16.5%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-01-10T06:34:07.185977image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q13
median13
Q330
95-th percentile146
Maximum85511
Range85511
Interquartile range (IQR)27

Descriptive statistics

Standard deviation1134.7267
Coefficient of variation (CV)13.204847
Kurtosis3383.2482
Mean85.932584
Median Absolute Deviation (MAD)12
Skewness49.554608
Sum841280
Variance1287604.6
MonotonicityNot monotonic
2024-01-10T06:34:07.286444image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1652
 
16.5%
1 329
 
3.3%
3 262
 
2.6%
11 261
 
2.6%
4 260
 
2.6%
10 260
 
2.6%
8 259
 
2.6%
13 250
 
2.5%
6 247
 
2.5%
5 239
 
2.4%
Other values (407) 5771
57.7%
ValueCountFrequency (%)
0 1652
16.5%
1 329
 
3.3%
2 225
 
2.2%
3 262
 
2.6%
4 260
 
2.6%
5 239
 
2.4%
6 247
 
2.5%
7 233
 
2.3%
8 259
 
2.6%
9 234
 
2.3%
ValueCountFrequency (%)
85511 1
< 0.1%
28968 1
< 0.1%
20285 1
< 0.1%
20238 1
< 0.1%
20113 1
< 0.1%
18590 1
< 0.1%
17608 1
< 0.1%
14415 1
< 0.1%
13936 1
< 0.1%
13057 1
< 0.1%

2022년01월사용료
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct2510
Distinct (%)25.6%
Missing210
Missing (%)2.1%
Infinite0
Infinite (%)0.0%
Mean74974.187
Minimum-500
Maximum59133110
Zeros647
Zeros (%)6.5%
Negative2
Negative (%)< 0.1%
Memory size166.0 KiB
2024-01-10T06:34:07.386650image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-500
5-th percentile0
Q13750
median10695
Q327900
95-th percentile147798
Maximum59133110
Range59133610
Interquartile range (IQR)24150

Descriptive statistics

Standard deviation810466.95
Coefficient of variation (CV)10.809947
Kurtosis2976.9446
Mean74974.187
Median Absolute Deviation (MAD)8945
Skewness45.614803
Sum7.3399729 × 108
Variance6.5685668 × 1011
MonotonicityNot monotonic
2024-01-10T06:34:07.492045image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
990 659
 
6.6%
0 647
 
6.5%
1000 192
 
1.9%
9960 170
 
1.7%
8580 170
 
1.7%
7890 169
 
1.7%
5130 166
 
1.7%
6510 165
 
1.7%
3750 148
 
1.5%
9270 146
 
1.5%
Other values (2500) 7158
71.6%
(Missing) 210
 
2.1%
ValueCountFrequency (%)
-500 1
 
< 0.1%
-10 1
 
< 0.1%
0 647
6.5%
10 2
 
< 0.1%
150 1
 
< 0.1%
250 1
 
< 0.1%
370 10
 
0.1%
490 10
 
0.1%
840 1
 
< 0.1%
990 659
6.6%
ValueCountFrequency (%)
59133110 1
< 0.1%
19263610 1
< 0.1%
14298990 2
< 0.1%
13756160 1
< 0.1%
13642380 1
< 0.1%
12516000 1
< 0.1%
12037230 1
< 0.1%
11906400 1
< 0.1%
9738060 1
< 0.1%
9472970 1
< 0.1%

2022년02월검침일
Date

MISSING 

Distinct48
Distinct (%)0.5%
Missing179
Missing (%)1.8%
Memory size156.2 KiB
Minimum2021-01-16 00:00:00
Maximum2022-03-02 00:00:00
2024-01-10T06:34:07.599650image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T06:34:07.709266image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=48)

2022년02월지침
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct3515
Distinct (%)35.8%
Missing179
Missing (%)1.8%
Infinite0
Infinite (%)0.0%
Mean3088.0278
Minimum0
Maximum1424748
Zeros322
Zeros (%)3.2%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-01-10T06:34:07.851393image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q1156
median578
Q31591
95-th percentile8287
Maximum1424748
Range1424748
Interquartile range (IQR)1435

Descriptive statistics

Standard deviation28877.781
Coefficient of variation (CV)9.3515289
Kurtosis1040.7752
Mean3088.0278
Median Absolute Deviation (MAD)510
Skewness29.255975
Sum30327521
Variance8.3392625 × 108
MonotonicityNot monotonic
2024-01-10T06:34:07.990519image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 322
 
3.2%
1 193
 
1.9%
2 103
 
1.0%
5 34
 
0.3%
3 34
 
0.3%
4 28
 
0.3%
6 24
 
0.2%
46 24
 
0.2%
13 22
 
0.2%
11 22
 
0.2%
Other values (3505) 9015
90.1%
(Missing) 179
 
1.8%
ValueCountFrequency (%)
0 322
3.2%
1 193
1.9%
2 103
 
1.0%
3 34
 
0.3%
4 28
 
0.3%
5 34
 
0.3%
6 24
 
0.2%
7 21
 
0.2%
8 17
 
0.2%
9 15
 
0.1%
ValueCountFrequency (%)
1424748 1
< 0.1%
916482 1
< 0.1%
899679 1
< 0.1%
865846 1
< 0.1%
751554 1
< 0.1%
750826 1
< 0.1%
605992 1
< 0.1%
556193 1
< 0.1%
540797 1
< 0.1%
514232 1
< 0.1%

2022년02월사용량
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct417
Distinct (%)4.2%
Missing179
Missing (%)1.8%
Infinite0
Infinite (%)0.0%
Mean85.903676
Minimum0
Maximum84462
Zeros1718
Zeros (%)17.2%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-01-10T06:34:08.126807image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q13
median13
Q330
95-th percentile145
Maximum84462
Range84462
Interquartile range (IQR)27

Descriptive statistics

Standard deviation1128.2387
Coefficient of variation (CV)13.133766
Kurtosis3288.7011
Mean85.903676
Median Absolute Deviation (MAD)12
Skewness48.730803
Sum843660
Variance1272922.7
MonotonicityNot monotonic
2024-01-10T06:34:08.230382image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1718
 
17.2%
10 292
 
2.9%
4 280
 
2.8%
3 260
 
2.6%
6 260
 
2.6%
8 259
 
2.6%
1 257
 
2.6%
11 254
 
2.5%
13 238
 
2.4%
9 235
 
2.4%
Other values (407) 5768
57.7%
ValueCountFrequency (%)
0 1718
17.2%
1 257
 
2.6%
2 225
 
2.2%
3 260
 
2.6%
4 280
 
2.8%
5 230
 
2.3%
6 260
 
2.6%
7 231
 
2.3%
8 259
 
2.6%
9 235
 
2.4%
ValueCountFrequency (%)
84462 1
< 0.1%
27956 1
< 0.1%
21037 1
< 0.1%
20022 1
< 0.1%
19926 1
< 0.1%
19485 1
< 0.1%
18452 1
< 0.1%
15009 1
< 0.1%
13918 1
< 0.1%
13151 1
< 0.1%

2022년02월사용료
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct2463
Distinct (%)25.1%
Missing179
Missing (%)1.8%
Infinite0
Infinite (%)0.0%
Mean74819.511
Minimum0
Maximum58179050
Zeros646
Zeros (%)6.5%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-01-10T06:34:08.329051image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q13750
median10650
Q328130
95-th percentile147950
Maximum58179050
Range58179050
Interquartile range (IQR)24380

Descriptive statistics

Standard deviation804922.63
Coefficient of variation (CV)10.758192
Kurtosis2866.8508
Mean74819.511
Median Absolute Deviation (MAD)8950
Skewness44.676245
Sum7.3480242 × 108
Variance6.4790044 × 1011
MonotonicityNot monotonic
2024-01-10T06:34:08.435575image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
990 701
 
7.0%
0 646
 
6.5%
1000 198
 
2.0%
7890 185
 
1.8%
8580 172
 
1.7%
3750 170
 
1.7%
5130 168
 
1.7%
6510 164
 
1.6%
11340 148
 
1.5%
4440 148
 
1.5%
Other values (2453) 7121
71.2%
(Missing) 179
 
1.8%
ValueCountFrequency (%)
0 646
6.5%
40 1
 
< 0.1%
130 1
 
< 0.1%
250 1
 
< 0.1%
370 8
 
0.1%
490 12
 
0.1%
560 1
 
< 0.1%
840 2
 
< 0.1%
860 1
 
< 0.1%
990 701
7.0%
ValueCountFrequency (%)
58179050 1
< 0.1%
18579290 1
< 0.1%
15395190 1
< 0.1%
14258660 1
< 0.1%
14126560 1
< 0.1%
13498320 1
< 0.1%
13119200 1
< 0.1%
12632290 1
< 0.1%
12397250 1
< 0.1%
10137720 1
< 0.1%

2022년03월검침일
Date

MISSING 

Distinct50
Distinct (%)0.5%
Missing167
Missing (%)1.7%
Memory size156.2 KiB
Minimum2021-12-04 00:00:00
Maximum2022-04-02 00:00:00
2024-01-10T06:34:08.541712image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T06:34:08.681549image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

2022년03월지침
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct3547
Distinct (%)36.1%
Missing167
Missing (%)1.7%
Infinite0
Infinite (%)0.0%
Mean3070.4327
Minimum0
Maximum1437483
Zeros322
Zeros (%)3.2%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-01-10T06:34:08.793866image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q1167
median595
Q31620
95-th percentile8434
Maximum1437483
Range1437483
Interquartile range (IQR)1453

Descriptive statistics

Standard deviation27929.223
Coefficient of variation (CV)9.0961847
Kurtosis1131.2393
Mean3070.4327
Median Absolute Deviation (MAD)520
Skewness30.17236
Sum30191565
Variance7.8004151 × 108
MonotonicityNot monotonic
2024-01-10T06:34:08.909935image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 322
 
3.2%
1 192
 
1.9%
2 102
 
1.0%
3 31
 
0.3%
5 31
 
0.3%
6 28
 
0.3%
11 26
 
0.3%
4 26
 
0.3%
72 23
 
0.2%
7 21
 
0.2%
Other values (3537) 9031
90.3%
(Missing) 167
 
1.7%
ValueCountFrequency (%)
0 322
3.2%
1 192
1.9%
2 102
 
1.0%
3 31
 
0.3%
4 26
 
0.3%
5 31
 
0.3%
6 28
 
0.3%
7 21
 
0.2%
8 16
 
0.2%
9 12
 
0.1%
ValueCountFrequency (%)
1437483 1
< 0.1%
920157 1
< 0.1%
880589 1
< 0.1%
769338 1
< 0.1%
762474 1
< 0.1%
618665 1
< 0.1%
560516 1
< 0.1%
548753 1
< 0.1%
524766 1
< 0.1%
439862 1
< 0.1%

2022년03월사용량
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct398
Distinct (%)4.0%
Missing167
Missing (%)1.7%
Infinite0
Infinite (%)0.0%
Mean81.807282
Minimum0
Maximum75675
Zeros1743
Zeros (%)17.4%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-01-10T06:34:09.038355image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q13
median14
Q330
95-th percentile135
Maximum75675
Range75675
Interquartile range (IQR)27

Descriptive statistics

Standard deviation1040.7414
Coefficient of variation (CV)12.721868
Kurtosis2942.7188
Mean81.807282
Median Absolute Deviation (MAD)12
Skewness45.630591
Sum804411
Variance1083142.8
MonotonicityNot monotonic
2024-01-10T06:34:09.160254image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1743
 
17.4%
10 291
 
2.9%
6 262
 
2.6%
12 260
 
2.6%
1 258
 
2.6%
15 253
 
2.5%
5 249
 
2.5%
4 240
 
2.4%
7 240
 
2.4%
2 235
 
2.4%
Other values (388) 5802
58.0%
ValueCountFrequency (%)
0 1743
17.4%
1 258
 
2.6%
2 235
 
2.4%
3 230
 
2.3%
4 240
 
2.4%
5 249
 
2.5%
6 262
 
2.6%
7 240
 
2.4%
8 223
 
2.2%
9 210
 
2.1%
ValueCountFrequency (%)
75675 1
< 0.1%
25719 1
< 0.1%
20478 1
< 0.1%
18512 1
< 0.1%
18408 1
< 0.1%
18237 1
< 0.1%
17818 1
< 0.1%
14743 1
< 0.1%
13307 1
< 0.1%
12735 1
< 0.1%

2022년03월사용료
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct2483
Distinct (%)25.3%
Missing167
Missing (%)1.7%
Infinite0
Infinite (%)0.0%
Mean70748.037
Minimum-10
Maximum50966730
Zeros672
Zeros (%)6.7%
Negative2
Negative (%)< 0.1%
Memory size166.0 KiB
2024-01-10T06:34:09.268557image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-10
5-th percentile0
Q13750
median10720
Q327600
95-th percentile136494
Maximum50966730
Range50966740
Interquartile range (IQR)23850

Descriptive statistics

Standard deviation733883.05
Coefficient of variation (CV)10.373193
Kurtosis2467.8417
Mean70748.037
Median Absolute Deviation (MAD)9030
Skewness41.002236
Sum6.9566545 × 108
Variance5.3858434 × 1011
MonotonicityNot monotonic
2024-01-10T06:34:09.375424image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
990 708
 
7.1%
0 672
 
6.7%
1000 201
 
2.0%
7890 192
 
1.9%
9270 172
 
1.7%
11340 160
 
1.6%
8580 155
 
1.6%
5130 155
 
1.6%
5820 150
 
1.5%
4440 150
 
1.5%
Other values (2473) 7118
71.2%
(Missing) 167
 
1.7%
ValueCountFrequency (%)
-10 2
 
< 0.1%
0 672
6.7%
250 1
 
< 0.1%
370 12
 
0.1%
490 10
 
0.1%
500 1
 
< 0.1%
830 1
 
< 0.1%
840 1
 
< 0.1%
990 708
7.1%
1000 201
 
2.0%
ValueCountFrequency (%)
50966730 1
< 0.1%
17060630 1
< 0.1%
15189870 1
< 0.1%
13878670 1
< 0.1%
12741060 1
< 0.1%
12688970 1
< 0.1%
12271300 1
< 0.1%
12017980 1
< 0.1%
9959850 1
< 0.1%
9677630 1
< 0.1%

2022년04월검침일
Date

MISSING 

Distinct47
Distinct (%)0.5%
Missing162
Missing (%)1.6%
Memory size156.2 KiB
Minimum2022-01-04 00:00:00
Maximum2022-05-04 00:00:00
2024-01-10T06:34:09.478704image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T06:34:09.582027image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=47)

2022년04월지침
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct3573
Distinct (%)36.3%
Missing162
Missing (%)1.6%
Infinite0
Infinite (%)0.0%
Mean3152.1645
Minimum0
Maximum1451424
Zeros322
Zeros (%)3.2%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-01-10T06:34:09.683312image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q1176
median610
Q31647.5
95-th percentile8532.15
Maximum1451424
Range1451424
Interquartile range (IQR)1471.5

Descriptive statistics

Standard deviation28548.133
Coefficient of variation (CV)9.0566763
Kurtosis1094.8485
Mean3152.1645
Median Absolute Deviation (MAD)529
Skewness29.706794
Sum31010994
Variance8.149959 × 108
MonotonicityNot monotonic
2024-01-10T06:34:10.018753image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 322
 
3.2%
1 187
 
1.9%
2 99
 
1.0%
5 29
 
0.3%
4 29
 
0.3%
3 26
 
0.3%
6 24
 
0.2%
40 21
 
0.2%
7 20
 
0.2%
19 19
 
0.2%
Other values (3563) 9062
90.6%
(Missing) 162
 
1.6%
ValueCountFrequency (%)
0 322
3.2%
1 187
1.9%
2 99
 
1.0%
3 26
 
0.3%
4 29
 
0.3%
5 29
 
0.3%
6 24
 
0.2%
7 20
 
0.2%
8 18
 
0.2%
9 11
 
0.1%
ValueCountFrequency (%)
1451424 1
< 0.1%
938966 1
< 0.1%
894297 1
< 0.1%
785983 1
< 0.1%
772274 1
< 0.1%
631875 1
< 0.1%
566757 1
< 0.1%
555850 1
< 0.1%
536569 1
< 0.1%
502049 1
< 0.1%

2022년04월사용량
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct379
Distinct (%)3.9%
Missing162
Missing (%)1.6%
Infinite0
Infinite (%)0.0%
Mean80.101647
Minimum0
Maximum87221
Zeros1729
Zeros (%)17.3%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-01-10T06:34:10.149701image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q13
median12
Q326
95-th percentile128
Maximum87221
Range87221
Interquartile range (IQR)23

Descriptive statistics

Standard deviation1118.7835
Coefficient of variation (CV)13.967048
Kurtosis3815.1876
Mean80.101647
Median Absolute Deviation (MAD)10
Skewness52.945348
Sum788040
Variance1251676.6
MonotonicityNot monotonic
2024-01-10T06:34:10.284863image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1729
 
17.3%
3 313
 
3.1%
5 296
 
3.0%
1 296
 
3.0%
8 295
 
2.9%
4 291
 
2.9%
13 288
 
2.9%
2 280
 
2.8%
7 280
 
2.8%
10 274
 
2.7%
Other values (369) 5496
55.0%
ValueCountFrequency (%)
0 1729
17.3%
1 296
 
3.0%
2 280
 
2.8%
3 313
 
3.1%
4 291
 
2.9%
5 296
 
3.0%
6 265
 
2.6%
7 280
 
2.8%
8 295
 
2.9%
9 274
 
2.7%
ValueCountFrequency (%)
87221 1
< 0.1%
24701 1
< 0.1%
19810 1
< 0.1%
19388 1
< 0.1%
18809 1
< 0.1%
16645 1
< 0.1%
13941 1
< 0.1%
13708 1
< 0.1%
13210 1
< 0.1%
13195 1
< 0.1%

2022년04월사용료
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct2441
Distinct (%)24.8%
Missing162
Missing (%)1.6%
Infinite0
Infinite (%)0.0%
Mean68636.466
Minimum-130
Maximum60689600
Zeros687
Zeros (%)6.9%
Negative2
Negative (%)< 0.1%
Memory size166.0 KiB
2024-01-10T06:34:10.421200image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-130
5-th percentile0
Q13350
median9960
Q324090
95-th percentile128310
Maximum60689600
Range60689730
Interquartile range (IQR)20740

Descriptive statistics

Standard deviation799630.96
Coefficient of variation (CV)11.650235
Kurtosis3430.3855
Mean68636.466
Median Absolute Deviation (MAD)7790
Skewness49.393343
Sum6.7524555 × 108
Variance6.3940968 × 1011
MonotonicityNot monotonic
2024-01-10T06:34:10.566672image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
990 696
 
7.0%
0 687
 
6.9%
1000 202
 
2.0%
6510 191
 
1.9%
9960 184
 
1.8%
7200 183
 
1.8%
5820 182
 
1.8%
7890 178
 
1.8%
3750 175
 
1.8%
3060 173
 
1.7%
Other values (2431) 6987
69.9%
ValueCountFrequency (%)
-130 1
 
< 0.1%
-10 1
 
< 0.1%
0 687
6.9%
140 1
 
< 0.1%
170 1
 
< 0.1%
250 1
 
< 0.1%
370 15
 
0.1%
490 10
 
0.1%
500 2
 
< 0.1%
840 1
 
< 0.1%
ValueCountFrequency (%)
60689600 1
< 0.1%
16372260 1
< 0.1%
14016840 1
< 0.1%
13785690 1
< 0.1%
13075610 1
< 0.1%
12756090 1
< 0.1%
11386050 1
< 0.1%
9992570 1
< 0.1%
9466350 1
< 0.1%
9296400 1
< 0.1%

2022년05월검침일
Date

MISSING 

Distinct52
Distinct (%)0.5%
Missing142
Missing (%)1.4%
Memory size156.2 KiB
Minimum2022-02-04 00:00:00
Maximum2022-06-02 00:00:00
2024-01-10T06:34:10.686841image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T06:34:10.796838image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

2022년05월지침
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct3604
Distinct (%)36.6%
Missing142
Missing (%)1.4%
Infinite0
Infinite (%)0.0%
Mean3163.2885
Minimum0
Maximum1465537
Zeros320
Zeros (%)3.2%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-01-10T06:34:10.909394image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q1185
median626
Q31681.75
95-th percentile8623.3
Maximum1465537
Range1465537
Interquartile range (IQR)1496.75

Descriptive statistics

Standard deviation28587.127
Coefficient of variation (CV)9.0371546
Kurtosis1137.0673
Mean3163.2885
Median Absolute Deviation (MAD)538
Skewness30.337363
Sum31183698
Variance8.1722383 × 108
MonotonicityNot monotonic
2024-01-10T06:34:11.034577image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 320
 
3.2%
1 184
 
1.8%
2 100
 
1.0%
3 32
 
0.3%
5 26
 
0.3%
6 25
 
0.2%
7 23
 
0.2%
4 23
 
0.2%
25 20
 
0.2%
40 19
 
0.2%
Other values (3594) 9086
90.9%
(Missing) 142
 
1.4%
ValueCountFrequency (%)
0 320
3.2%
1 184
1.8%
2 100
 
1.0%
3 32
 
0.3%
4 23
 
0.2%
5 26
 
0.3%
6 25
 
0.2%
7 23
 
0.2%
8 16
 
0.2%
9 15
 
0.1%
ValueCountFrequency (%)
1465537 1
< 0.1%
960369 1
< 0.1%
908784 1
< 0.1%
804483 1
< 0.1%
783080 1
< 0.1%
644056 1
< 0.1%
583819 1
< 0.1%
563988 1
< 0.1%
548202 1
< 0.1%
462135 1
< 0.1%

2022년05월사용량
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct413
Distinct (%)4.2%
Missing142
Missing (%)1.4%
Infinite0
Infinite (%)0.0%
Mean85.879895
Minimum0
Maximum81770
Zeros1616
Zeros (%)16.2%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-01-10T06:34:11.153218image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q14
median13
Q329
95-th percentile144
Maximum81770
Range81770
Interquartile range (IQR)25

Descriptive statistics

Standard deviation1110.2552
Coefficient of variation (CV)12.928
Kurtosis3083.5407
Mean85.879895
Median Absolute Deviation (MAD)11
Skewness46.835027
Sum846604
Variance1232666.7
MonotonicityNot monotonic
2024-01-10T06:34:11.301186image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1616
 
16.2%
1 296
 
3.0%
5 288
 
2.9%
2 281
 
2.8%
10 267
 
2.7%
12 266
 
2.7%
11 261
 
2.6%
8 258
 
2.6%
4 256
 
2.6%
9 253
 
2.5%
Other values (403) 5816
58.2%
ValueCountFrequency (%)
0 1616
16.2%
1 296
 
3.0%
2 281
 
2.8%
3 247
 
2.5%
4 256
 
2.6%
5 288
 
2.9%
6 252
 
2.5%
7 242
 
2.4%
8 258
 
2.6%
9 253
 
2.5%
ValueCountFrequency (%)
81770 1
< 0.1%
29290 1
< 0.1%
21403 1
< 0.1%
19076 1
< 0.1%
18999 1
< 0.1%
18500 1
< 0.1%
15691 1
< 0.1%
14487 1
< 0.1%
14113 1
< 0.1%
13939 1
< 0.1%

2022년05월사용료
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct2465
Distinct (%)25.0%
Missing142
Missing (%)1.4%
Infinite0
Infinite (%)0.0%
Mean74327.632
Minimum-10
Maximum55715560
Zeros690
Zeros (%)6.9%
Negative1
Negative (%)< 0.1%
Memory size166.0 KiB
2024-01-10T06:34:11.446343image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-10
5-th percentile0
Q13750
median10650
Q326972.5
95-th percentile140803
Maximum55715560
Range55715570
Interquartile range (IQR)23222.5

Descriptive statistics

Standard deviation787084.83
Coefficient of variation (CV)10.589397
Kurtosis2642.0632
Mean74327.632
Median Absolute Deviation (MAD)8480
Skewness42.509065
Sum7.327218 × 108
Variance6.1950253 × 1011
MonotonicityNot monotonic
2024-01-10T06:34:11.581997image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 690
 
6.9%
990 626
 
6.3%
7890 181
 
1.8%
4440 180
 
1.8%
8580 172
 
1.7%
1000 171
 
1.7%
9270 167
 
1.7%
6510 165
 
1.7%
7200 157
 
1.6%
5130 151
 
1.5%
Other values (2455) 7198
72.0%
ValueCountFrequency (%)
-10 1
 
< 0.1%
0 690
6.9%
10 1
 
< 0.1%
250 1
 
< 0.1%
370 15
 
0.1%
490 7
 
0.1%
500 1
 
< 0.1%
560 1
 
< 0.1%
840 1
 
< 0.1%
990 626
6.3%
ValueCountFrequency (%)
55715560 1
< 0.1%
19471340 1
< 0.1%
15384750 1
< 0.1%
14512150 1
< 0.1%
13277690 1
< 0.1%
12862640 1
< 0.1%
12678040 1
< 0.1%
10551700 1
< 0.1%
9786740 1
< 0.1%
9596100 1
< 0.1%

2022년06월검침일
Date

MISSING 

Distinct48
Distinct (%)0.5%
Missing118
Missing (%)1.2%
Memory size156.2 KiB
Minimum2022-03-04 00:00:00
Maximum2022-07-02 00:00:00
2024-01-10T06:34:11.719535image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T06:34:11.852766image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=48)

2022년06월지침
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct3632
Distinct (%)36.8%
Missing118
Missing (%)1.2%
Infinite0
Infinite (%)0.0%
Mean3188.2351
Minimum0
Maximum1479480
Zeros321
Zeros (%)3.2%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-01-10T06:34:11.953687image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1.05
Q1191
median640
Q31713.75
95-th percentile8714.95
Maximum1479480
Range1479480
Interquartile range (IQR)1522.75

Descriptive statistics

Standard deviation28842.71
Coefficient of variation (CV)9.046607
Kurtosis1157.1185
Mean3188.2351
Median Absolute Deviation (MAD)547
Skewness30.733291
Sum31506139
Variance8.319019 × 108
MonotonicityNot monotonic
2024-01-10T06:34:12.062278image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 321
 
3.2%
1 174
 
1.7%
2 100
 
1.0%
3 38
 
0.4%
4 26
 
0.3%
5 23
 
0.2%
6 23
 
0.2%
7 23
 
0.2%
8 19
 
0.2%
78 18
 
0.2%
Other values (3622) 9117
91.2%
(Missing) 118
 
1.2%
ValueCountFrequency (%)
0 321
3.2%
1 174
1.7%
2 100
 
1.0%
3 38
 
0.4%
4 26
 
0.3%
5 23
 
0.2%
6 23
 
0.2%
7 23
 
0.2%
8 19
 
0.2%
9 17
 
0.2%
ValueCountFrequency (%)
1479480 1
< 0.1%
980548 1
< 0.1%
923347 1
< 0.1%
822439 1
< 0.1%
793530 1
< 0.1%
668606 1
< 0.1%
657057 1
< 0.1%
571718 1
< 0.1%
559740 1
< 0.1%
422222 1
< 0.1%

2022년06월사용량
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct413
Distinct (%)4.2%
Missing118
Missing (%)1.2%
Infinite0
Infinite (%)0.0%
Mean87.448998
Minimum0
Maximum84787
Zeros1538
Zeros (%)15.4%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-01-10T06:34:12.181587image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q14
median14
Q331
95-th percentile145
Maximum84787
Range84787
Interquartile range (IQR)27

Descriptive statistics

Standard deviation1125.8947
Coefficient of variation (CV)12.874872
Kurtosis3337.6704
Mean87.448998
Median Absolute Deviation (MAD)12
Skewness48.950504
Sum864171
Variance1267638.8
MonotonicityNot monotonic
2024-01-10T06:34:12.283538image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1538
 
15.4%
1 272
 
2.7%
9 264
 
2.6%
5 257
 
2.6%
10 256
 
2.6%
4 254
 
2.5%
6 251
 
2.5%
13 251
 
2.5%
3 250
 
2.5%
11 249
 
2.5%
Other values (403) 6040
60.4%
ValueCountFrequency (%)
0 1538
15.4%
1 272
 
2.7%
2 244
 
2.4%
3 250
 
2.5%
4 254
 
2.5%
5 257
 
2.6%
6 251
 
2.5%
7 233
 
2.3%
8 241
 
2.4%
9 264
 
2.6%
ValueCountFrequency (%)
84787 1
< 0.1%
27932 1
< 0.1%
20384 1
< 0.1%
20179 1
< 0.1%
18761 1
< 0.1%
17956 1
< 0.1%
17604 1
< 0.1%
14563 1
< 0.1%
13943 1
< 0.1%
13001 1
< 0.1%

2022년06월사용료
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct2502
Distinct (%)25.3%
Missing118
Missing (%)1.2%
Infinite0
Infinite (%)0.0%
Mean76634.439
Minimum-10
Maximum58449370
Zeros698
Zeros (%)7.0%
Negative1
Negative (%)< 0.1%
Memory size166.0 KiB
2024-01-10T06:34:12.384258image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-10
5-th percentile0
Q14440
median11410
Q328770
95-th percentile147210
Maximum58449370
Range58449380
Interquartile range (IQR)24330

Descriptive statistics

Standard deviation805969.93
Coefficient of variation (CV)10.517072
Kurtosis2878.0447
Mean76634.439
Median Absolute Deviation (MAD)9155
Skewness44.516195
Sum7.5730153 × 108
Variance6.4958753 × 1011
MonotonicityNot monotonic
2024-01-10T06:34:12.489541image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 698
 
7.0%
990 588
 
5.9%
7890 167
 
1.7%
9270 163
 
1.6%
8580 163
 
1.6%
5820 162
 
1.6%
9960 157
 
1.6%
5130 155
 
1.6%
1000 155
 
1.6%
4440 155
 
1.6%
Other values (2492) 7319
73.2%
ValueCountFrequency (%)
-10 1
 
< 0.1%
0 698
7.0%
10 1
 
< 0.1%
100 1
 
< 0.1%
250 1
 
< 0.1%
370 12
 
0.1%
490 13
 
0.1%
500 1
 
< 0.1%
560 1
 
< 0.1%
680 1
 
< 0.1%
ValueCountFrequency (%)
58449370 1
< 0.1%
18547060 1
< 0.1%
14979330 1
< 0.1%
14541980 1
< 0.1%
13682480 1
< 0.1%
12645630 1
< 0.1%
12268550 1
< 0.1%
11841270 1
< 0.1%
11414150 1
< 0.1%
9838140 1
< 0.1%

2022년07월검침일
Date

Distinct51
Distinct (%)0.5%
Missing74
Missing (%)0.7%
Memory size156.2 KiB
Minimum2022-04-04 00:00:00
Maximum2022-08-02 00:00:00
2024-01-10T06:34:12.595043image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T06:34:12.694623image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

2022년07월지침
Real number (ℝ)

SKEWED  ZEROS 

Distinct3651
Distinct (%)36.8%
Missing74
Missing (%)0.7%
Infinite0
Infinite (%)0.0%
Mean3248.3342
Minimum0
Maximum1493173
Zeros319
Zeros (%)3.2%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-01-10T06:34:12.801767image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2
Q1199
median651
Q31741.5
95-th percentile8802
Maximum1493173
Range1493173
Interquartile range (IQR)1542.5

Descriptive statistics

Standard deviation29464.172
Coefficient of variation (CV)9.0705483
Kurtosis1128.0651
Mean3248.3342
Median Absolute Deviation (MAD)553
Skewness30.418556
Sum32242965
Variance8.6813743 × 108
MonotonicityNot monotonic
2024-01-10T06:34:12.937306image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 319
 
3.2%
1 175
 
1.8%
2 96
 
1.0%
3 37
 
0.4%
4 28
 
0.3%
5 27
 
0.3%
6 24
 
0.2%
169 19
 
0.2%
8 18
 
0.2%
19 17
 
0.2%
Other values (3641) 9166
91.7%
(Missing) 74
 
0.7%
ValueCountFrequency (%)
0 319
3.2%
1 175
1.8%
2 96
 
1.0%
3 37
 
0.4%
4 28
 
0.3%
5 27
 
0.3%
6 24
 
0.2%
7 16
 
0.2%
8 18
 
0.2%
9 17
 
0.2%
ValueCountFrequency (%)
1493173 1
< 0.1%
1002285 1
< 0.1%
937979 1
< 0.1%
840030 1
< 0.1%
804346 1
< 0.1%
751140 1
< 0.1%
670816 1
< 0.1%
579334 1
< 0.1%
570827 1
< 0.1%
427378 1
< 0.1%

2022년07월사용량
Real number (ℝ)

SKEWED  ZEROS 

Distinct430
Distinct (%)4.3%
Missing74
Missing (%)0.7%
Infinite0
Infinite (%)0.0%
Mean90.715092
Minimum0
Maximum82534
Zeros1517
Zeros (%)15.2%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-01-10T06:34:13.091941image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q15
median16
Q335
95-th percentile151
Maximum82534
Range82534
Interquartile range (IQR)30

Descriptive statistics

Standard deviation1110.2773
Coefficient of variation (CV)12.239169
Kurtosis3158.8265
Mean90.715092
Median Absolute Deviation (MAD)13
Skewness47.284846
Sum900438
Variance1232715.8
MonotonicityNot monotonic
2024-01-10T06:34:13.192221image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1517
 
15.2%
4 240
 
2.4%
14 238
 
2.4%
8 237
 
2.4%
1 232
 
2.3%
13 232
 
2.3%
7 230
 
2.3%
12 227
 
2.3%
5 224
 
2.2%
10 222
 
2.2%
Other values (420) 6327
63.3%
ValueCountFrequency (%)
0 1517
15.2%
1 232
 
2.3%
2 206
 
2.1%
3 196
 
2.0%
4 240
 
2.4%
5 224
 
2.2%
6 221
 
2.2%
7 230
 
2.3%
8 237
 
2.4%
9 218
 
2.2%
ValueCountFrequency (%)
82534 1
< 0.1%
25163 1
< 0.1%
21737 1
< 0.1%
20748 1
< 0.1%
19555 1
< 0.1%
18516 1
< 0.1%
17591 1
< 0.1%
14632 1
< 0.1%
14166 1
< 0.1%
13759 1
< 0.1%

2022년07월사용료
Real number (ℝ)

SKEWED  ZEROS 

Distinct2602
Distinct (%)26.2%
Missing74
Missing (%)0.7%
Infinite0
Infinite (%)0.0%
Mean80358.423
Minimum-10
Maximum56404290
Zeros697
Zeros (%)7.0%
Negative1
Negative (%)< 0.1%
Memory size166.0 KiB
2024-01-10T06:34:13.534580image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-10
5-th percentile0
Q14610
median12720
Q333087.5
95-th percentile157345
Maximum56404290
Range56404300
Interquartile range (IQR)28477.5

Descriptive statistics

Standard deviation794036.61
Coefficient of variation (CV)9.881187
Kurtosis2645.6537
Mean80358.423
Median Absolute Deviation (MAD)10440
Skewness42.264191
Sum7.9763771 × 108
Variance6.3049414 × 1011
MonotonicityNot monotonic
2024-01-10T06:34:13.637539image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 697
 
7.0%
990 545
 
5.5%
6510 161
 
1.6%
1000 155
 
1.6%
9960 153
 
1.5%
7890 150
 
1.5%
10650 150
 
1.5%
7200 142
 
1.4%
9270 141
 
1.4%
3750 137
 
1.4%
Other values (2592) 7495
75.0%
ValueCountFrequency (%)
-10 1
 
< 0.1%
0 697
7.0%
250 1
 
< 0.1%
370 9
 
0.1%
380 1
 
< 0.1%
490 6
 
0.1%
500 2
 
< 0.1%
560 1
 
< 0.1%
990 545
5.5%
1000 155
 
1.6%
ValueCountFrequency (%)
56404290 1
< 0.1%
16672670 1
< 0.1%
15597030 1
< 0.1%
14736000 1
< 0.1%
13987240 1
< 0.1%
13786430 1
< 0.1%
12455960 1
< 0.1%
12021740 1
< 0.1%
9886790 1
< 0.1%
9752730 1
< 0.1%

2022년08월검침일
Date

Distinct49
Distinct (%)0.5%
Missing40
Missing (%)0.4%
Memory size156.2 KiB
Minimum2022-05-04 00:00:00
Maximum2022-09-02 00:00:00
2024-01-10T06:34:13.744948image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T06:34:13.852130image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=49)

2022년08월지침
Real number (ℝ)

SKEWED  ZEROS 

Distinct3728
Distinct (%)37.4%
Missing37
Missing (%)0.4%
Infinite0
Infinite (%)0.0%
Mean3320.7427
Minimum0
Maximum1507742
Zeros318
Zeros (%)3.2%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-01-10T06:34:13.955901image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1.1
Q1205
median662
Q31758
95-th percentile8932.9
Maximum1507742
Range1507742
Interquartile range (IQR)1553

Descriptive statistics

Standard deviation30149.557
Coefficient of variation (CV)9.0791605
Kurtosis1099.4305
Mean3320.7427
Median Absolute Deviation (MAD)559
Skewness30.097553
Sum33084560
Variance9.0899576 × 108
MonotonicityNot monotonic
2024-01-10T06:34:14.064939image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 318
 
3.2%
1 181
 
1.8%
2 96
 
1.0%
4 35
 
0.4%
3 34
 
0.3%
5 32
 
0.3%
6 24
 
0.2%
8 24
 
0.2%
17 20
 
0.2%
72 18
 
0.2%
Other values (3718) 9181
91.8%
(Missing) 37
 
0.4%
ValueCountFrequency (%)
0 318
3.2%
1 181
1.8%
2 96
 
1.0%
3 34
 
0.3%
4 35
 
0.4%
5 32
 
0.3%
6 24
 
0.2%
7 15
 
0.1%
8 24
 
0.2%
9 10
 
0.1%
ValueCountFrequency (%)
1507742 1
< 0.1%
1022551 1
< 0.1%
953418 1
< 0.1%
858908 1
< 0.1%
837715 1
< 0.1%
815408 1
< 0.1%
684012 1
< 0.1%
587469 1
< 0.1%
583160 1
< 0.1%
432370 1
< 0.1%

2022년08월사용량
Real number (ℝ)

SKEWED  ZEROS 

Distinct422
Distinct (%)4.2%
Missing37
Missing (%)0.4%
Infinite0
Infinite (%)0.0%
Mean89.163103
Minimum0
Maximum86575
Zeros1564
Zeros (%)15.6%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-01-10T06:34:14.204218image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q14
median14
Q331
95-th percentile145
Maximum86575
Range86575
Interquartile range (IQR)27

Descriptive statistics

Standard deviation1157.777
Coefficient of variation (CV)12.984934
Kurtosis3236.8359
Mean89.163103
Median Absolute Deviation (MAD)12
Skewness48.227335
Sum888332
Variance1340447.5
MonotonicityNot monotonic
2024-01-10T06:34:14.337836image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1564
 
15.6%
7 271
 
2.7%
13 266
 
2.7%
10 265
 
2.6%
5 263
 
2.6%
1 260
 
2.6%
2 260
 
2.6%
6 257
 
2.6%
8 250
 
2.5%
3 247
 
2.5%
Other values (412) 6060
60.6%
ValueCountFrequency (%)
0 1564
15.6%
1 260
 
2.6%
2 260
 
2.6%
3 247
 
2.5%
4 236
 
2.4%
5 263
 
2.6%
6 257
 
2.6%
7 271
 
2.7%
8 250
 
2.5%
9 235
 
2.4%
ValueCountFrequency (%)
86575 1
< 0.1%
30061 1
< 0.1%
21562 1
< 0.1%
21175 1
< 0.1%
20266 1
< 0.1%
20074 1
< 0.1%
18878 1
< 0.1%
15439 1
< 0.1%
14569 1
< 0.1%
14557 1
< 0.1%

2022년08월사용료
Real number (ℝ)

SKEWED  ZEROS 

Distinct2540
Distinct (%)25.5%
Missing37
Missing (%)0.4%
Infinite0
Infinite (%)0.0%
Mean78546.615
Minimum-130
Maximum61251810
Zeros712
Zeros (%)7.1%
Negative3
Negative (%)< 0.1%
Memory size166.0 KiB
2024-01-10T06:34:14.477407image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-130
5-th percentile0
Q14440
median11340
Q329180
95-th percentile147950
Maximum61251810
Range61251940
Interquartile range (IQR)24740

Descriptive statistics

Standard deviation833524.76
Coefficient of variation (CV)10.611848
Kurtosis3004.8198
Mean78546.615
Median Absolute Deviation (MAD)9050
Skewness45.606641
Sum7.8255993 × 108
Variance6.9476353 × 1011
MonotonicityNot monotonic
2024-01-10T06:34:14.620747image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 712
 
7.1%
990 580
 
5.8%
8580 170
 
1.7%
5820 165
 
1.7%
9960 164
 
1.6%
5130 163
 
1.6%
7890 161
 
1.6%
9270 158
 
1.6%
6510 155
 
1.6%
1000 152
 
1.5%
Other values (2530) 7383
73.8%
ValueCountFrequency (%)
-130 1
 
< 0.1%
-10 2
 
< 0.1%
0 712
7.1%
20 1
 
< 0.1%
250 1
 
< 0.1%
370 10
 
0.1%
390 1
 
< 0.1%
490 11
 
0.1%
500 2
 
< 0.1%
720 1
 
< 0.1%
ValueCountFrequency (%)
61251810 1
< 0.1%
19984690 1
< 0.1%
15262900 1
< 0.1%
14535670 1
< 0.1%
13741310 1
< 0.1%
13505480 1
< 0.1%
13018550 1
< 0.1%
10498110 1
< 0.1%
10022520 1
< 0.1%
10016850 1
< 0.1%

2022년09월검침일
Date

Distinct55
Distinct (%)0.6%
Missing19
Missing (%)0.2%
Memory size156.2 KiB
Minimum1970-01-01 00:00:00
Maximum2022-10-05 00:00:00
2024-01-10T06:34:14.757839image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T06:34:14.899675image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

2022년09월지침
Real number (ℝ)

SKEWED  ZEROS 

Distinct3709
Distinct (%)37.2%
Missing19
Missing (%)0.2%
Infinite0
Infinite (%)0.0%
Mean3367.505
Minimum0
Maximum1521888
Zeros320
Zeros (%)3.2%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-01-10T06:34:15.041873image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q1208
median668
Q31763
95-th percentile9002
Maximum1521888
Range1521888
Interquartile range (IQR)1555

Descriptive statistics

Standard deviation30848.379
Coefficient of variation (CV)9.1606037
Kurtosis1076.8386
Mean3367.505
Median Absolute Deviation (MAD)568
Skewness29.87442
Sum33611067
Variance9.5162246 × 108
MonotonicityNot monotonic
2024-01-10T06:34:15.172418image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 320
 
3.2%
1 200
 
2.0%
2 104
 
1.0%
5 38
 
0.4%
3 37
 
0.4%
4 36
 
0.4%
6 28
 
0.3%
7 25
 
0.2%
29 17
 
0.2%
9 17
 
0.2%
Other values (3699) 9159
91.6%
(Missing) 19
 
0.2%
ValueCountFrequency (%)
0 320
3.2%
1 200
2.0%
2 104
 
1.0%
3 37
 
0.4%
4 36
 
0.4%
5 38
 
0.4%
6 28
 
0.3%
7 25
 
0.2%
8 17
 
0.2%
9 17
 
0.2%
ValueCountFrequency (%)
1521888 1
< 0.1%
1043673 1
< 0.1%
967484 1
< 0.1%
922326 1
< 0.1%
877444 1
< 0.1%
826744 1
< 0.1%
697671 1
< 0.1%
595221 1
< 0.1%
595110 1
< 0.1%
440898 1
< 0.1%

2022년09월사용량
Real number (ℝ)

SKEWED  ZEROS 

Distinct442
Distinct (%)4.4%
Missing19
Missing (%)0.2%
Infinite0
Infinite (%)0.0%
Mean92.295061
Minimum0
Maximum84611
Zeros1609
Zeros (%)16.1%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-01-10T06:34:15.281446image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q15
median16
Q335
95-th percentile156
Maximum84611
Range84611
Interquartile range (IQR)30

Descriptive statistics

Standard deviation1140.4499
Coefficient of variation (CV)12.356564
Kurtosis3132.438
Mean92.295061
Median Absolute Deviation (MAD)13
Skewness47.194958
Sum921197
Variance1300625.9
MonotonicityNot monotonic
2024-01-10T06:34:15.382056image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1609
 
16.1%
5 261
 
2.6%
13 249
 
2.5%
6 242
 
2.4%
14 239
 
2.4%
7 234
 
2.3%
1 227
 
2.3%
9 222
 
2.2%
3 220
 
2.2%
10 217
 
2.2%
Other values (432) 6261
62.6%
ValueCountFrequency (%)
0 1609
16.1%
1 227
 
2.3%
2 198
 
2.0%
3 220
 
2.2%
4 201
 
2.0%
5 261
 
2.6%
6 242
 
2.4%
7 234
 
2.3%
8 199
 
2.0%
9 222
 
2.2%
ValueCountFrequency (%)
84611 1
< 0.1%
29393 1
< 0.1%
21122 1
< 0.1%
20917 1
< 0.1%
19904 1
< 0.1%
19752 1
< 0.1%
18536 1
< 0.1%
14689 1
< 0.1%
14146 1
< 0.1%
14066 1
< 0.1%

2022년09월사용료
Real number (ℝ)

SKEWED  ZEROS 

Distinct2611
Distinct (%)26.2%
Missing19
Missing (%)0.2%
Infinite0
Infinite (%)0.0%
Mean81195.411
Minimum-10
Maximum58894240
Zeros712
Zeros (%)7.1%
Negative1
Negative (%)< 0.1%
Memory size166.0 KiB
2024-01-10T06:34:15.483576image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-10
5-th percentile0
Q14440
median12720
Q332970
95-th percentile162080
Maximum58894240
Range58894250
Interquartile range (IQR)28530

Descriptive statistics

Standard deviation814163.79
Coefficient of variation (CV)10.027214
Kurtosis2822.4091
Mean81195.411
Median Absolute Deviation (MAD)10470
Skewness43.860273
Sum8.104114 × 108
Variance6.6286268 × 1011
MonotonicityNot monotonic
2024-01-10T06:34:15.595767image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 712
 
7.1%
990 621
 
6.2%
9960 155
 
1.6%
10650 150
 
1.5%
4440 146
 
1.5%
1000 145
 
1.5%
7890 145
 
1.5%
5820 143
 
1.4%
14790 143
 
1.4%
5130 141
 
1.4%
Other values (2601) 7480
74.8%
ValueCountFrequency (%)
-10 1
 
< 0.1%
0 712
7.1%
10 1
 
< 0.1%
100 1
 
< 0.1%
250 1
 
< 0.1%
370 5
 
0.1%
430 1
 
< 0.1%
490 8
 
0.1%
500 2
 
< 0.1%
560 1
 
< 0.1%
ValueCountFrequency (%)
58894240 1
< 0.1%
19532990 1
< 0.1%
14316140 1
< 0.1%
14105520 1
< 0.1%
13965980 1
< 0.1%
13386530 1
< 0.1%
12708850 1
< 0.1%
10152570 1
< 0.1%
10132960 1
< 0.1%
9980220 1
< 0.1%

2022년10월검침일
Text

Distinct58
Distinct (%)0.6%
Missing2
Missing (%)< 0.1%
Memory size156.2 KiB
2024-01-10T06:34:15.734262image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length10
Median length10
Mean length9.9999
Min length9

Characters and Unicode

Total characters99979
Distinct characters11
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

Unique20 ?
Unique (%)0.2%

Sample

1st row2022-09-17
2nd row2022-09-20
3rd row2022-09-20
4th row2022-09-11
5th row2022-09-15
ValueCountFrequency (%)
2022-09-13 1207
12.1%
2022-09-15 1136
11.4%
2022-09-20 1027
10.3%
2022-09-16 960
9.6%
2022-09-12 911
9.1%
2022-09-09 764
7.6%
2022-09-14 761
7.6%
2022-09-11 684
6.8%
2022-09-08 588
5.9%
2022-09-17 583
5.8%
Other values (48) 1377
13.8%
2024-01-10T06:34:15.963126image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 32467
32.5%
0 22607
22.6%
- 19996
20.0%
9 11120
 
11.1%
1 7885
 
7.9%
3 1373
 
1.4%
5 1157
 
1.2%
6 977
 
1.0%
4 866
 
0.9%
8 850
 
0.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 79983
80.0%
Dash Punctuation 19996
 
20.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 32467
40.6%
0 22607
28.3%
9 11120
 
13.9%
1 7885
 
9.9%
3 1373
 
1.7%
5 1157
 
1.4%
6 977
 
1.2%
4 866
 
1.1%
8 850
 
1.1%
7 681
 
0.9%
Dash Punctuation
ValueCountFrequency (%)
- 19996
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 99979
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
2 32467
32.5%
0 22607
22.6%
- 19996
20.0%
9 11120
 
11.1%
1 7885
 
7.9%
3 1373
 
1.4%
5 1157
 
1.2%
6 977
 
1.0%
4 866
 
0.9%
8 850
 
0.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 99979
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 32467
32.5%
0 22607
22.6%
- 19996
20.0%
9 11120
 
11.1%
1 7885
 
7.9%
3 1373
 
1.4%
5 1157
 
1.2%
6 977
 
1.0%
4 866
 
0.9%
8 850
 
0.9%

2022년10월지침
Real number (ℝ)

SKEWED  ZEROS 

Distinct3537
Distinct (%)35.4%
Missing2
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean10027.851
Minimum0
Maximum67640777
Zeros316
Zeros (%)3.2%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-01-10T06:34:16.072334image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q1157
median583
Q31566.75
95-th percentile8253.75
Maximum67640777
Range67640777
Interquartile range (IQR)1409.75

Descriptive statistics

Standard deviation677179.13
Coefficient of variation (CV)67.529836
Kurtosis9954.5771
Mean10027.851
Median Absolute Deviation (MAD)528
Skewness99.667121
Sum1.0025845 × 108
Variance4.5857157 × 1011
MonotonicityNot monotonic
2024-01-10T06:34:16.180529image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 316
 
3.2%
1 231
 
2.3%
2 141
 
1.4%
3 55
 
0.5%
6 53
 
0.5%
4 50
 
0.5%
5 47
 
0.5%
7 38
 
0.4%
9 32
 
0.3%
8 32
 
0.3%
Other values (3527) 9003
90.0%
ValueCountFrequency (%)
0 316
3.2%
1 231
2.3%
2 141
1.4%
3 55
 
0.5%
4 50
 
0.5%
5 47
 
0.5%
6 53
 
0.5%
7 38
 
0.4%
8 32
 
0.3%
9 32
 
0.3%
ValueCountFrequency (%)
67640777 1
< 0.1%
1535530 1
< 0.1%
1065263 1
< 0.1%
1003821 1
< 0.1%
982472 1
< 0.1%
896292 1
< 0.1%
837805 1
< 0.1%
711143 1
< 0.1%
606230 1
< 0.1%
603003 1
< 0.1%

2022년10월사용량
Real number (ℝ)

SKEWED  ZEROS 

Distinct426
Distinct (%)4.3%
Missing2
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean247.83937
Minimum0
Maximum1582583
Zeros1646
Zeros (%)16.5%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-01-10T06:34:16.289686image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q14
median15
Q332
95-th percentile150
Maximum1582583
Range1582583
Interquartile range (IQR)28

Descriptive statistics

Standard deviation15865.758
Coefficient of variation (CV)64.016294
Kurtosis9899.4963
Mean247.83937
Median Absolute Deviation (MAD)13
Skewness99.265672
Sum2477898
Variance2.5172227 × 108
MonotonicityNot monotonic
2024-01-10T06:34:16.398329image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1646
 
16.5%
8 274
 
2.7%
5 256
 
2.6%
1 250
 
2.5%
13 245
 
2.5%
10 242
 
2.4%
15 240
 
2.4%
2 238
 
2.4%
16 232
 
2.3%
4 231
 
2.3%
Other values (416) 6144
61.4%
ValueCountFrequency (%)
0 1646
16.5%
1 250
 
2.5%
2 238
 
2.4%
3 218
 
2.2%
4 231
 
2.3%
5 256
 
2.6%
6 228
 
2.3%
7 228
 
2.3%
8 274
 
2.7%
9 191
 
1.9%
ValueCountFrequency (%)
1582583 1
< 0.1%
81495 1
< 0.1%
30093 1
< 0.1%
21590 1
< 0.1%
20023 1
< 0.1%
19369 1
< 0.1%
19205 1
< 0.1%
18848 1
< 0.1%
15566 1
< 0.1%
14988 1
< 0.1%

2022년10월사용료
Real number (ℝ)

SKEWED  ZEROS 

Distinct2553
Distinct (%)25.5%
Missing2
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean152922.18
Minimum-130
Maximum7.4732104 × 108
Zeros720
Zeros (%)7.2%
Negative3
Negative (%)< 0.1%
Memory size166.0 KiB
2024-01-10T06:34:16.511325image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-130
5-th percentile0
Q14440
median12030
Q330490
95-th percentile155221.5
Maximum7.4732104 × 108
Range7.4732117 × 108
Interquartile range (IQR)26050

Descriptive statistics

Standard deviation7514317.9
Coefficient of variation (CV)49.138184
Kurtosis9781.0709
Mean152922.18
Median Absolute Deviation (MAD)9780
Skewness98.403976
Sum1.5289159 × 109
Variance5.6464974 × 1013
MonotonicityNot monotonic
2024-01-10T06:34:16.625699image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 720
 
7.2%
990 628
 
6.3%
7890 168
 
1.7%
6510 160
 
1.6%
9960 157
 
1.6%
11340 156
 
1.6%
1000 154
 
1.5%
5820 148
 
1.5%
4440 141
 
1.4%
12030 139
 
1.4%
Other values (2543) 7427
74.3%
ValueCountFrequency (%)
-130 1
 
< 0.1%
-10 2
 
< 0.1%
0 720
7.2%
10 1
 
< 0.1%
30 1
 
< 0.1%
250 1
 
< 0.1%
370 7
 
0.1%
490 10
 
0.1%
500 1
 
< 0.1%
990 628
6.3%
ValueCountFrequency (%)
747321040 1
< 0.1%
55454930 1
< 0.1%
20008330 1
< 0.1%
14634600 1
< 0.1%
13614910 1
< 0.1%
13507000 1
< 0.1%
12995200 1
< 0.1%
12911870 1
< 0.1%
10948570 1
< 0.1%
10223910 1
< 0.1%

사용료합계
Real number (ℝ)

SKEWED  ZEROS 

Distinct6691
Distinct (%)66.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean824925.9
Minimum0
Maximum7.4732104 × 108
Zeros596
Zeros (%)6.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-01-10T06:34:16.983620image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q147690
median118775
Q3286657.5
95-th percentile1429992.5
Maximum7.4732104 × 108
Range7.4732104 × 108
Interquartile range (IQR)238967.5

Descriptive statistics

Standard deviation10860658
Coefficient of variation (CV)13.165616
Kurtosis3039.9987
Mean824925.9
Median Absolute Deviation (MAD)89215
Skewness49.623565
Sum8.249259 × 109
Variance1.1795389 × 1014
MonotonicityNot monotonic
2024-01-10T06:34:17.094143image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 596
 
6.0%
9900 219
 
2.2%
9910 32
 
0.3%
10000 25
 
0.2%
94080 20
 
0.2%
10590 19
 
0.2%
2000 17
 
0.2%
82350 17
 
0.2%
70620 17
 
0.2%
59580 16
 
0.2%
Other values (6681) 9022
90.2%
ValueCountFrequency (%)
0 596
6.0%
370 1
 
< 0.1%
740 1
 
< 0.1%
990 4
 
< 0.1%
1000 2
 
< 0.1%
1850 1
 
< 0.1%
1980 7
 
0.1%
2000 17
 
0.2%
2020 1
 
< 0.1%
2250 3
 
< 0.1%
ValueCountFrequency (%)
747321040 1
< 0.1%
575138690 1
< 0.1%
185492870 1
< 0.1%
140272260 1
< 0.1%
139633340 1
< 0.1%
135024180 1
< 0.1%
133877990 1
< 0.1%
124435470 1
< 0.1%
121425210 1
< 0.1%
98740970 1
< 0.1%

2022년01월물부담금
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct947
Distinct (%)9.7%
Missing210
Missing (%)2.1%
Infinite0
Infinite (%)0.0%
Mean14525.569
Minimum0
Maximum14536870
Zeros1617
Zeros (%)16.2%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-01-10T06:34:17.235209image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q1520
median2210
Q35100
95-th percentile24650
Maximum14536870
Range14536870
Interquartile range (IQR)4580

Descriptive statistics

Standard deviation192822.84
Coefficient of variation (CV)13.274718
Kurtosis3388.9996
Mean14525.569
Median Absolute Deviation (MAD)2040
Skewness49.615928
Sum1.4220532 × 108
Variance3.7180646 × 1010
MonotonicityNot monotonic
2024-01-10T06:34:17.381693image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1617
 
16.2%
170 321
 
3.2%
510 238
 
2.4%
1700 237
 
2.4%
680 236
 
2.4%
1870 232
 
2.3%
2210 231
 
2.3%
1360 226
 
2.3%
1020 224
 
2.2%
340 212
 
2.1%
Other values (937) 6016
60.2%
ValueCountFrequency (%)
0 1617
16.2%
10 11
 
0.1%
20 6
 
0.1%
30 3
 
< 0.1%
40 6
 
0.1%
50 1
 
< 0.1%
70 1
 
< 0.1%
80 2
 
< 0.1%
90 2
 
< 0.1%
120 1
 
< 0.1%
ValueCountFrequency (%)
14536870 1
< 0.1%
4924560 1
< 0.1%
3448450 1
< 0.1%
3440460 1
< 0.1%
3419210 1
< 0.1%
3160300 1
< 0.1%
2993360 1
< 0.1%
2450550 1
< 0.1%
2369120 1
< 0.1%
2219690 1
< 0.1%

2022년02월물부담금
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct914
Distinct (%)9.3%
Missing179
Missing (%)1.8%
Infinite0
Infinite (%)0.0%
Mean14498.612
Minimum0
Maximum14358540
Zeros1700
Zeros (%)17.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-01-10T06:34:17.505553image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q1520
median2210
Q35100
95-th percentile24310
Maximum14358540
Range14358540
Interquartile range (IQR)4580

Descriptive statistics

Standard deviation191785.6
Coefficient of variation (CV)13.227859
Kurtosis3289.8372
Mean14498.612
Median Absolute Deviation (MAD)2040
Skewness48.743792
Sum1.4239087 × 108
Variance3.6781715 × 1010
MonotonicityNot monotonic
2024-01-10T06:34:17.613662image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1700
 
17.0%
680 262
 
2.6%
1700 258
 
2.6%
170 250
 
2.5%
510 241
 
2.4%
1360 236
 
2.4%
1020 233
 
2.3%
1870 230
 
2.3%
1530 218
 
2.2%
1190 217
 
2.2%
Other values (904) 5976
59.8%
ValueCountFrequency (%)
0 1700
17.0%
10 8
 
0.1%
20 2
 
< 0.1%
30 3
 
< 0.1%
40 1
 
< 0.1%
50 1
 
< 0.1%
60 1
 
< 0.1%
80 1
 
< 0.1%
90 1
 
< 0.1%
100 1
 
< 0.1%
ValueCountFrequency (%)
14358540 1
< 0.1%
4752520 1
< 0.1%
3576290 1
< 0.1%
3403740 1
< 0.1%
3387420 1
< 0.1%
3312450 1
< 0.1%
3136840 1
< 0.1%
2551530 1
< 0.1%
2366060 1
< 0.1%
2235670 1
< 0.1%

2022년03월물부담금
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct901
Distinct (%)9.2%
Missing167
Missing (%)1.7%
Infinite0
Infinite (%)0.0%
Mean13852.501
Minimum0
Maximum12864750
Zeros1722
Zeros (%)17.2%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-01-10T06:34:17.727320image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q1520
median2250
Q34930
95-th percentile22780
Maximum12864750
Range12864750
Interquartile range (IQR)4410

Descriptive statistics

Standard deviation176922.62
Coefficient of variation (CV)12.77189
Kurtosis2943.0046
Mean13852.501
Median Absolute Deviation (MAD)2000
Skewness45.634351
Sum1.3621164 × 108
Variance3.1301614 × 1010
MonotonicityNot monotonic
2024-01-10T06:34:17.844787image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1722
 
17.2%
1700 271
 
2.7%
1020 242
 
2.4%
170 242
 
2.4%
2040 233
 
2.3%
2550 233
 
2.3%
1190 223
 
2.2%
340 221
 
2.2%
850 220
 
2.2%
510 215
 
2.1%
Other values (891) 6011
60.1%
ValueCountFrequency (%)
0 1722
17.2%
10 11
 
0.1%
20 4
 
< 0.1%
30 3
 
< 0.1%
50 1
 
< 0.1%
60 1
 
< 0.1%
90 1
 
< 0.1%
160 1
 
< 0.1%
170 242
 
2.4%
180 4
 
< 0.1%
ValueCountFrequency (%)
12864750 1
< 0.1%
4372230 1
< 0.1%
3481260 1
< 0.1%
3147040 1
< 0.1%
3129360 1
< 0.1%
3100290 1
< 0.1%
3029060 1
< 0.1%
2506310 1
< 0.1%
2262190 1
< 0.1%
2164950 1
< 0.1%

2022년04월물부담금
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct905
Distinct (%)9.2%
Missing162
Missing (%)1.6%
Infinite0
Infinite (%)0.0%
Mean13577.019
Minimum0
Maximum14827570
Zeros1697
Zeros (%)17.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-01-10T06:34:17.983167image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q1510
median2040
Q34490
95-th percentile21760
Maximum14827570
Range14827570
Interquartile range (IQR)3980

Descriptive statistics

Standard deviation190144.85
Coefficient of variation (CV)14.004905
Kurtosis3819.1143
Mean13577.019
Median Absolute Deviation (MAD)1700
Skewness52.985122
Sum1.3357071 × 108
Variance3.6155066 × 1010
MonotonicityNot monotonic
2024-01-10T06:34:18.129192image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1697
 
17.0%
510 287
 
2.9%
170 284
 
2.8%
850 267
 
2.7%
1360 265
 
2.6%
680 264
 
2.6%
340 258
 
2.6%
2210 251
 
2.5%
1190 250
 
2.5%
1530 249
 
2.5%
Other values (895) 5766
57.7%
ValueCountFrequency (%)
0 1697
17.0%
10 12
 
0.1%
20 1
 
< 0.1%
30 4
 
< 0.1%
40 2
 
< 0.1%
50 3
 
< 0.1%
60 2
 
< 0.1%
80 2
 
< 0.1%
90 1
 
< 0.1%
110 1
 
< 0.1%
ValueCountFrequency (%)
14827570 1
< 0.1%
4199170 1
< 0.1%
3367700 1
< 0.1%
3295960 1
< 0.1%
3197530 1
< 0.1%
2829650 1
< 0.1%
2369970 1
< 0.1%
2330360 1
< 0.1%
2245700 1
< 0.1%
2243150 1
< 0.1%

2022년05월물부담금
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct923
Distinct (%)9.4%
Missing142
Missing (%)1.4%
Infinite0
Infinite (%)0.0%
Mean14571.537
Minimum0
Maximum13900900
Zeros1591
Zeros (%)15.9%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-01-10T06:34:18.255398image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q1680
median2210
Q34930
95-th percentile24480
Maximum13900900
Range13900900
Interquartile range (IQR)4250

Descriptive statistics

Standard deviation188730.58
Coefficient of variation (CV)12.952002
Kurtosis3084.4068
Mean14571.537
Median Absolute Deviation (MAD)1870
Skewness46.84489
Sum1.4364621 × 108
Variance3.561923 × 1010
MonotonicityNot monotonic
2024-01-10T06:34:18.360994image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1591
 
15.9%
170 285
 
2.9%
340 268
 
2.7%
850 262
 
2.6%
1700 247
 
2.5%
2040 239
 
2.4%
510 236
 
2.4%
1870 234
 
2.3%
1360 233
 
2.3%
1530 224
 
2.2%
Other values (913) 6039
60.4%
ValueCountFrequency (%)
0 1591
15.9%
10 5
 
0.1%
20 5
 
0.1%
30 2
 
< 0.1%
40 2
 
< 0.1%
50 3
 
< 0.1%
80 2
 
< 0.1%
100 2
 
< 0.1%
110 1
 
< 0.1%
170 285
 
2.9%
ValueCountFrequency (%)
13900900 1
< 0.1%
4979300 1
< 0.1%
3638510 1
< 0.1%
3242920 1
< 0.1%
3229830 1
< 0.1%
3145000 1
< 0.1%
2667470 1
< 0.1%
2462790 1
< 0.1%
2399210 1
< 0.1%
2369630 1
< 0.1%

2022년06월물부담금
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct907
Distinct (%)9.2%
Missing118
Missing (%)1.2%
Infinite0
Infinite (%)0.0%
Mean14840.767
Minimum0
Maximum14413830
Zeros1523
Zeros (%)15.2%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-01-10T06:34:18.471652image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q1680
median2380
Q35270
95-th percentile24480
Maximum14413830
Range14413830
Interquartile range (IQR)4590

Descriptive statistics

Standard deviation191393.14
Coefficient of variation (CV)12.896445
Kurtosis3338.3577
Mean14840.767
Median Absolute Deviation (MAD)2040
Skewness48.958033
Sum1.4665646 × 108
Variance3.6631334 × 1010
MonotonicityNot monotonic
2024-01-10T06:34:18.579871image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1523
 
15.2%
170 263
 
2.6%
1530 239
 
2.4%
680 235
 
2.4%
510 235
 
2.4%
340 234
 
2.3%
850 232
 
2.3%
2210 228
 
2.3%
1020 228
 
2.3%
1870 225
 
2.2%
Other values (897) 6240
62.4%
ValueCountFrequency (%)
0 1523
15.2%
10 11
 
0.1%
20 3
 
< 0.1%
100 1
 
< 0.1%
170 263
 
2.6%
180 3
 
< 0.1%
200 2
 
< 0.1%
210 2
 
< 0.1%
240 1
 
< 0.1%
250 1
 
< 0.1%
ValueCountFrequency (%)
14413830 1
< 0.1%
4748440 1
< 0.1%
3465280 1
< 0.1%
3430430 1
< 0.1%
3189370 1
< 0.1%
3052520 1
< 0.1%
2992680 1
< 0.1%
2475710 1
< 0.1%
2370310 1
< 0.1%
2210170 1
< 0.1%

2022년07월물부담금
Real number (ℝ)

SKEWED  ZEROS 

Distinct996
Distinct (%)10.0%
Missing74
Missing (%)0.7%
Infinite0
Infinite (%)0.0%
Mean15406.128
Minimum0
Maximum14030920
Zeros1497
Zeros (%)15.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-01-10T06:34:18.686954image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q1850
median2720
Q35950
95-th percentile25670
Maximum14030920
Range14030920
Interquartile range (IQR)5100

Descriptive statistics

Standard deviation188740.13
Coefficient of variation (CV)12.250977
Kurtosis3159.4346
Mean15406.128
Median Absolute Deviation (MAD)2210
Skewness47.291483
Sum1.5292123 × 108
Variance3.5622836 × 1010
MonotonicityNot monotonic
2024-01-10T06:34:18.792785image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1497
 
15.0%
680 225
 
2.2%
1360 218
 
2.2%
170 217
 
2.2%
2380 216
 
2.2%
2210 213
 
2.1%
1700 205
 
2.1%
2040 200
 
2.0%
1870 200
 
2.0%
1020 200
 
2.0%
Other values (986) 6535
65.3%
ValueCountFrequency (%)
0 1497
15.0%
10 8
 
0.1%
20 3
 
< 0.1%
30 1
 
< 0.1%
40 2
 
< 0.1%
50 2
 
< 0.1%
70 2
 
< 0.1%
90 1
 
< 0.1%
140 1
 
< 0.1%
170 217
 
2.2%
ValueCountFrequency (%)
14030920 1
< 0.1%
4277710 1
< 0.1%
3695290 1
< 0.1%
3527160 1
< 0.1%
3324350 1
< 0.1%
3147720 1
< 0.1%
2990470 1
< 0.1%
2487440 1
< 0.1%
2408220 1
< 0.1%
2339030 1
< 0.1%

2022년08월물부담금
Real number (ℝ)

SKEWED  ZEROS 

Distinct946
Distinct (%)9.5%
Missing37
Missing (%)0.4%
Infinite0
Infinite (%)0.0%
Mean15176.71
Minimum0
Maximum15006020
Zeros1539
Zeros (%)15.4%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-01-10T06:34:18.905284image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q1680
median2380
Q35270
95-th percentile24650
Maximum15006020
Range15006020
Interquartile range (IQR)4590

Descriptive statistics

Standard deviation198992.28
Coefficient of variation (CV)13.111688
Kurtosis3339.5264
Mean15176.71
Median Absolute Deviation (MAD)2040
Skewness49.095302
Sum1.5120556 × 108
Variance3.9597929 × 1010
MonotonicityNot monotonic
2024-01-10T06:34:19.026776image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1539
 
15.4%
170 247
 
2.5%
1190 244
 
2.4%
340 242
 
2.4%
2210 238
 
2.4%
1700 237
 
2.4%
850 236
 
2.4%
1020 233
 
2.3%
510 231
 
2.3%
1360 231
 
2.3%
Other values (936) 6285
62.8%
ValueCountFrequency (%)
0 1539
15.4%
10 14
 
0.1%
20 3
 
< 0.1%
30 3
 
< 0.1%
40 2
 
< 0.1%
50 1
 
< 0.1%
160 1
 
< 0.1%
170 247
 
2.5%
180 6
 
0.1%
190 5
 
0.1%
ValueCountFrequency (%)
15006020 1
< 0.1%
5110370 1
< 0.1%
3665540 1
< 0.1%
3599750 1
< 0.1%
3445220 1
< 0.1%
3412580 1
< 0.1%
3209260 1
< 0.1%
2624630 1
< 0.1%
2476730 1
< 0.1%
2474690 1
< 0.1%

2022년09월물부담금
Real number (ℝ)

SKEWED  ZEROS 

Distinct986
Distinct (%)9.9%
Missing19
Missing (%)0.2%
Infinite0
Infinite (%)0.0%
Mean15616.906
Minimum0
Maximum14531480
Zeros1585
Zeros (%)15.8%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-01-10T06:34:19.138862image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q1850
median2720
Q35780
95-th percentile26180
Maximum14531480
Range14531480
Interquartile range (IQR)4930

Descriptive statistics

Standard deviation194888.99
Coefficient of variation (CV)12.47936
Kurtosis3191.458
Mean15616.906
Median Absolute Deviation (MAD)2210
Skewness47.712193
Sum1.5587234 × 108
Variance3.7981718 × 1010
MonotonicityNot monotonic
2024-01-10T06:34:19.248527image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1585
 
15.8%
850 237
 
2.4%
2210 224
 
2.2%
1020 217
 
2.2%
170 215
 
2.1%
2380 215
 
2.1%
1190 205
 
2.1%
510 202
 
2.0%
1700 201
 
2.0%
3400 199
 
2.0%
Other values (976) 6481
64.8%
ValueCountFrequency (%)
0 1585
15.8%
10 10
 
0.1%
20 10
 
0.1%
30 1
 
< 0.1%
40 1
 
< 0.1%
50 1
 
< 0.1%
60 1
 
< 0.1%
130 1
 
< 0.1%
140 1
 
< 0.1%
150 1
 
< 0.1%
ValueCountFrequency (%)
14531480 1
< 0.1%
4996810 1
< 0.1%
3590740 1
< 0.1%
3555890 1
< 0.1%
3383680 1
< 0.1%
3357840 1
< 0.1%
3151120 1
< 0.1%
2497130 1
< 0.1%
2404820 1
< 0.1%
2391220 1
< 0.1%

2022년10월물부담금
Real number (ℝ)

SKEWED  ZEROS 

Distinct925
Distinct (%)9.3%
Missing2
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean36709.612
Minimum0
Maximum2.1523129 × 108
Zeros1610
Zeros (%)16.1%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-01-10T06:34:19.362549image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q1680
median2550
Q35440
95-th percentile25330
Maximum2.1523129 × 108
Range2.1523129 × 108
Interquartile range (IQR)4760

Descriptive statistics

Standard deviation2160709.1
Coefficient of variation (CV)58.85949
Kurtosis9844.7899
Mean36709.612
Median Absolute Deviation (MAD)2210
Skewness98.868329
Sum3.670227 × 108
Variance4.6686636 × 1012
MonotonicityNot monotonic
2024-01-10T06:34:19.467263image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1610
 
16.1%
170 243
 
2.4%
1360 237
 
2.4%
850 229
 
2.3%
1700 223
 
2.2%
2210 219
 
2.2%
340 217
 
2.2%
2550 214
 
2.1%
2720 210
 
2.1%
680 207
 
2.1%
Other values (915) 6389
63.9%
ValueCountFrequency (%)
0 1610
16.1%
10 13
 
0.1%
20 8
 
0.1%
30 3
 
< 0.1%
40 1
 
< 0.1%
60 2
 
< 0.1%
70 1
 
< 0.1%
90 2
 
< 0.1%
140 2
 
< 0.1%
170 243
 
2.4%
ValueCountFrequency (%)
215231290 1
< 0.1%
13854150 1
< 0.1%
5115810 1
< 0.1%
3670300 1
< 0.1%
3403910 1
< 0.1%
3292730 1
< 0.1%
3264850 1
< 0.1%
3204160 1
< 0.1%
2646220 1
< 0.1%
2547960 1
< 0.1%

Sample

주소2022년01월지침2022년01월사용량2022년01월사용료2022년02월검침일2022년02월지침2022년02월사용량2022년02월사용료2022년03월검침일2022년03월지침2022년03월사용량2022년03월사용료2022년04월검침일2022년04월지침2022년04월사용량2022년04월사용료2022년05월검침일2022년05월지침2022년05월사용량2022년05월사용료2022년06월검침일2022년06월지침2022년06월사용량2022년06월사용료2022년07월검침일2022년07월지침2022년07월사용량2022년07월사용료2022년08월검침일2022년08월지침2022년08월사용량2022년08월사용료2022년09월검침일2022년09월지침2022년09월사용량2022년09월사용료2022년10월검침일2022년10월지침2022년10월사용량2022년10월사용료사용료합계2022년01월물부담금2022년02월물부담금2022년03월물부담금2022년04월물부담금2022년05월물부담금2022년06월물부담금2022년07월물부담금2022년08월물부담금2022년09월물부담금2022년10월물부담금
19440충남 아산시 탕정면435051374402022-01-17440858427402022-02-1245961881319702022-03-14465054401402022-04-16472373526202022-05-13477249360602022-06-15485078560702022-07-18492272525102022-08-15501088629702022-09-17509888629705754908670997031960932012410833013260123701496014960
981충남 아산시 온천1동0002022-01-200002022-02-200002022-03-200002022-04-200002022-05-200002022-06-200002022-07-200002022-08-200002022-09-2000000000000000
3076충남 아산시 온양역길1015524402022-01-141020524402022-02-201026631302022-03-111032631302022-04-161040845102022-05-171048845102022-06-211053524402022-07-171058524402022-08-151064631302022-09-201069524403061085085010201020136013608508501020850
11350충남 아산시 온주길4186544402022-01-14191544402022-02-13197651302022-03-12202544402022-04-12206437502022-05-12212651302022-06-11217544402022-07-11221437502022-08-12227651302022-09-112325444045090850850102085068010208506801020850
10491충남 아산시 용화로190125304902022-01-1591514175102022-02-159249116102022-03-159328104302022-04-1594715186902022-05-1596922269502022-06-1599425304902022-07-15101723281302022-08-15104124293102022-09-15106423281302317404250238015301360255037404250391040803910
6384충남 아산시 신리길162021157202022-01-13164929231602022-02-13167425194402022-03-12169723175802022-04-11172427213002022-05-11175228222302022-06-11178230240902022-07-10181432264302022-08-12184834287702022-09-11187931252602239803570493042503910459047605100544057805270
14087충남 아산시 염치읍33820160502022-01-1435618146702022-02-1137216132902022-03-1139220160502022-04-1241422179102022-05-1343319153602022-06-1045421169802022-07-1147622179102022-08-1249822179102022-09-1151820160501621803400306027203400374032303570374037403400
14134충남 아산시 염치읍3129402022-01-145236302022-02-117236302022-03-1113663902022-04-1221877702022-05-133312105302022-06-104815126002022-07-1156877702022-08-127317139802022-09-117966390756301703403401020136020402550136028901020
23364충남 아산시 둔포면11230240902022-01-1314432264302022-02-1317733276002022-03-1421033276002022-04-1324434287702022-05-1427430240902022-06-1430531252602022-07-1333934287702022-08-1537738334502022-09-1641336311102771705100544056105610578051005270578064606120
8541충남 아산시 어의정로293624185102022-01-12296024185102022-02-14298424185102022-03-13300521157202022-04-11302520147902022-05-13305530240902022-06-12308025194402022-07-12311030240902022-08-11313727213002022-09-121625194401944004080408040803570340051004250510045904250
주소2022년01월지침2022년01월사용량2022년01월사용료2022년02월검침일2022년02월지침2022년02월사용량2022년02월사용료2022년03월검침일2022년03월지침2022년03월사용량2022년03월사용료2022년04월검침일2022년04월지침2022년04월사용량2022년04월사용료2022년05월검침일2022년05월지침2022년05월사용량2022년05월사용료2022년06월검침일2022년06월지침2022년06월사용량2022년06월사용료2022년07월검침일2022년07월지침2022년07월사용량2022년07월사용료2022년08월검침일2022년08월지침2022년08월사용량2022년08월사용료2022년09월검침일2022년09월지침2022년09월사용량2022년09월사용료2022년10월검침일2022년10월지침2022년10월사용량2022년10월사용료사용료합계2022년01월물부담금2022년02월물부담금2022년03월물부담금2022년04월물부담금2022년05월물부담금2022년06월물부담금2022년07월물부담금2022년08월물부담금2022년09월물부담금2022년10월물부담금
15636충남 아산시 배방읍13409902022-01-10135121702022-02-10137233502022-03-10138121702022-04-09141345302022-05-10143233502022-06-10144121702022-07-09145121702022-08-11146121702022-09-0914712170252400170340170510340170170170170
22235충남 아산시 둔포면225309902022-01-172257457102022-02-112261457102022-03-112265457102022-04-1122749116102022-05-112281792502022-06-1322909116102022-07-12230111139702022-08-13231110127902022-09-146911610889600680680680153011901530187017001530
195충남 아산시 시장남길213242473247102022-01-10215912673561102022-02-11218232323064802022-03-10220181952430702022-04-09222292112681902022-05-10224512222854602022-06-10226812302980202022-07-09228962152744702022-08-10231482523325602022-09-0823381233302730299180041990453904013033150358703774039100365504284039610
18486충남 아산시 배방읍1512933262902022-01-171515122191702022-02-171517221182402022-03-181522452394002022-04-191527854411302022-05-171532547367302022-06-191539368507802022-07-151541926214602022-08-181545132256002022-09-19266146030324830561038403620884092508160116304420544010450
29673충남 아산시 인주면369758802022-01-17376758402022-02-11379330902022-03-11384544402022-04-113941078902022-05-114041079402022-06-134141078902022-07-11423972402022-08-1743714106502022-09-144481185806944012001190510850170017101700154023801870
2489충남 아산시 남산로73159401502022-01-1179261415002022-02-1185563428602022-03-1191358394702022-04-0997461415002022-05-12104369469102022-06-11110966448802022-07-09117869469102022-08-12126587570802022-09-11133974482904495501003010370107109860103701173011220117301479012580
17523충남 아산시 배방읍101917360502022-01-14102910277902022-02-15104617360502022-03-15105913313302022-04-15110142655502022-05-14114746702702022-06-15118942655502022-07-14123344679102022-08-15127845690902022-09-16131537596505292402890170028902210714078207140748076506290
18986충남 아산시 배방읍86924143331802022-01-1689262341861802022-02-14895630336902022-03-1291411851477202022-04-1195153742997802022-05-1198763612889302022-06-12103224463599002022-07-11107013793039602022-08-13109772762191502022-09-121128230524217024146607038039780510031450635806137075820644304692051850
176충남 아산시 온궁로629121702022-01-1069465399302022-02-112121702022-03-103121702022-04-09309902022-05-104121702022-06-105121702022-07-096121702022-08-107121702022-09-08812170582801701701701700170170170170170
25967충남 아산시 영인면2022502022-01-162912894289802022-02-12291022502022-03-12291022502022-04-12291022502022-05-12291022502022-06-13291022902022-07-09291022502022-08-13291022502022-09-192910225044927004913000000000

Duplicate rows

Most frequently occurring

주소2022년01월지침2022년01월사용량2022년01월사용료2022년02월검침일2022년02월지침2022년02월사용량2022년02월사용료2022년03월검침일2022년03월지침2022년03월사용량2022년03월사용료2022년04월검침일2022년04월지침2022년04월사용량2022년04월사용료2022년05월검침일2022년05월지침2022년05월사용량2022년05월사용료2022년06월검침일2022년06월지침2022년06월사용량2022년06월사용료2022년07월검침일2022년07월지침2022년07월사용량2022년07월사용료2022년08월검침일2022년08월지침2022년08월사용량2022년08월사용료2022년09월검침일2022년09월지침2022년09월사용량2022년09월사용료2022년10월검침일2022년10월지침2022년10월사용량2022년10월사용료사용료합계2022년01월물부담금2022년02월물부담금2022년03월물부담금2022년04월물부담금2022년05월물부담금2022년06월물부담금2022년07월물부담금2022년08월물부담금2022년09월물부담금2022년10월물부담금# duplicates
18충남 아산시 배방읍0002022-01-200002022-02-200002022-03-200002022-04-200002022-05-200002022-06-200002022-07-200002022-08-200002022-09-200000000000000037
41충남 아산시 온천1동0002022-01-200002022-02-200002022-03-200002022-04-200002022-05-200002022-06-200002022-07-200002022-08-200002022-09-200000000000000034
42충남 아산시 온천2동0002022-01-200002022-02-200002022-03-200002022-04-200002022-05-200002022-06-200002022-07-200002022-08-200002022-09-200000000000000031
11충남 아산시 둔포면0002022-01-200002022-02-200002022-03-200002022-04-200002022-05-200002022-06-200002022-07-200002022-08-200002022-09-200000000000000014
33충남 아산시 실옥동0002022-01-200002022-02-200002022-03-200002022-04-200002022-05-200002022-06-200002022-07-200002022-08-200002022-09-200000000000000012
44충남 아산시 용화동0002022-01-200002022-02-200002022-03-200002022-04-200002022-05-200002022-06-200002022-07-200002022-08-200002022-09-200000000000000011
26충남 아산시 신창면0002022-01-200002022-02-200002022-03-200002022-04-200002022-05-200002022-06-200002022-07-200002022-08-200002022-09-200000000000000010
34충남 아산시 염치읍0002022-01-200002022-02-200002022-03-200002022-04-200002022-05-200002022-06-200002022-07-200002022-08-200002022-09-200000000000000010
5충남 아산시 도고면0002022-01-200002022-02-200002022-03-200002022-04-200002022-05-200002022-06-200002022-07-200002022-08-200002022-09-20000000000000009
16충남 아산시 방축동0002022-01-200002022-02-200002022-03-200002022-04-200002022-05-200002022-06-200002022-07-200002022-08-200002022-09-20000000000000008