Overview

Dataset statistics

Number of variables24
Number of observations355
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory69.5 KiB
Average record size in memory200.4 B

Variable types

DateTime8
Numeric2
Text1
Categorical13

Dataset

Description오산시 지방세 ARS카드납부시스템의 주정차과태료에 대한 데이터로 적발일자, 위반장소, 고지금액 등의 항목을 제공합니다.
URLhttps://www.data.go.kr/data/15081649/fileData.do

Alerts

중가산금 has constant value ""Constant
가산금 has constant value ""Constant
납기후금액 has constant value ""Constant
처리상태코드 has constant value ""Constant
처리기관구분 has constant value ""Constant
고지구분 has constant value ""Constant
고지차수 has constant value ""Constant
압류여부 has constant value ""Constant
수납은행 has constant value ""Constant
고지금액 is highly imbalanced (82.9%)Imbalance
수납금액 is highly imbalanced (82.9%)Imbalance

Reproduction

Analysis started2023-12-12 22:13:27.622888
Analysis finished2023-12-12 22:13:27.989139
Duration0.37 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

등록일자
Date

Distinct175
Distinct (%)49.3%
Missing0
Missing (%)0.0%
Memory size2.9 KiB
Minimum2022-01-03 00:00:00
Maximum2022-12-31 00:00:00
2023-12-13T07:13:28.049641image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T07:13:28.162357image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

적발일자
Date

Distinct230
Distinct (%)64.8%
Missing0
Missing (%)0.0%
Memory size2.9 KiB
Minimum2021-11-12 00:00:00
Maximum2022-12-26 00:00:00
2023-12-13T07:13:28.280833image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T07:13:28.415093image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

위반시간
Real number (ℝ)

Distinct272
Distinct (%)76.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1433.4197
Minimum3
Maximum2244
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.2 KiB
2023-12-13T07:13:28.568379image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3
5-th percentile719
Q11037.5
median1507
Q31750
95-th percentile2023
Maximum2244
Range2241
Interquartile range (IQR)712.5

Descriptive statistics

Standard deviation425.70249
Coefficient of variation (CV)0.29698384
Kurtosis-0.37337428
Mean1433.4197
Median Absolute Deviation (MAD)348
Skewness-0.48237317
Sum508864
Variance181222.61
MonotonicityNot monotonic
2023-12-13T07:13:28.704418image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
716 5
 
1.4%
717 4
 
1.1%
1414 4
 
1.1%
1453 4
 
1.1%
1441 4
 
1.1%
1055 3
 
0.8%
1543 3
 
0.8%
1005 3
 
0.8%
1615 2
 
0.6%
1442 2
 
0.6%
Other values (262) 321
90.4%
ValueCountFrequency (%)
3 1
 
0.3%
33 1
 
0.3%
49 1
 
0.3%
713 2
 
0.6%
714 1
 
0.3%
716 5
1.4%
717 4
1.1%
718 2
 
0.6%
719 2
 
0.6%
720 2
 
0.6%
ValueCountFrequency (%)
2244 1
0.3%
2214 1
0.3%
2147 1
0.3%
2118 1
0.3%
2103 1
0.3%
2056 1
0.3%
2051 1
0.3%
2047 1
0.3%
2046 1
0.3%
2043 1
0.3%

위반장소
Text

Distinct134
Distinct (%)37.7%
Missing0
Missing (%)0.0%
Memory size2.9 KiB
2023-12-13T07:13:28.917178image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length25
Median length22
Mean length11.847887
Min length3

Characters and Unicode

Total characters4206
Distinct characters230
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique76 ?
Unique (%)21.4%

Sample

1st row오산동 오산로 부근
2nd row센트하임 앞
3rd row궐동 양평해장국 사거리
4th row한라아파트정문
5th row중앙동 세명프라자
ValueCountFrequency (%)
부근 71
 
7.8%
운암4단지후문 37
 
4.1%
초심앞 37
 
4.1%
원동 36
 
4.0%
궐동 35
 
3.8%
앞 34
 
3.7%
오산대역 25
 
2.7%
후문 25
 
2.7%
사거리 25
 
2.7%
수청동 19
 
2.1%
Other values (186) 566
62.2%
2023-12-13T07:13:29.272202image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
560
 
13.3%
동 202
 
4.8%
부 101
 
2.4%
앞 96
 
2.3%
근 95
 
2.3%
오 86
 
2.0%
산 86
 
2.0%
리 83
 
2.0%
로 74
 
1.8%
문 73
 
1.7%
Other values (220) 2750
65.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3219
76.5%
Space Separator 560
 
13.3%
Decimal Number 292
 
6.9%
Uppercase Letter 46
 
1.1%
Close Punctuation 42
 
1.0%
Other Punctuation 39
 
0.9%
Dash Punctuation 5
 
0.1%
Open Punctuation 3
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 202
 
6.3%
부 101
 
3.1%
앞 96
 
3.0%
근 95
 
3.0%
오 86
 
2.7%
산 86
 
2.7%
리 83
 
2.6%
로 74
 
2.3%
문 73
 
2.3%
후 67
 
2.1%
Other values (197) 2256
70.1%
Decimal Number
ValueCountFrequency (%)
1 63
21.6%
4 47
16.1%
2 44
15.1%
5 27
9.2%
9 25
 
8.6%
7 24
 
8.2%
3 18
 
6.2%
8 16
 
5.5%
0 16
 
5.5%
6 12
 
4.1%
Uppercase Letter
ValueCountFrequency (%)
G 19
41.3%
S 17
37.0%
A 2
 
4.3%
C 2
 
4.3%
K 2
 
4.3%
V 2
 
4.3%
P 1
 
2.2%
T 1
 
2.2%
Space Separator
ValueCountFrequency (%)
560
100.0%
Close Punctuation
ValueCountFrequency (%)
) 42
100.0%
Other Punctuation
ValueCountFrequency (%)
/ 39
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 5
100.0%
Open Punctuation
ValueCountFrequency (%)
( 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3219
76.5%
Common 941
 
22.4%
Latin 46
 
1.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 202
 
6.3%
부 101
 
3.1%
앞 96
 
3.0%
근 95
 
3.0%
오 86
 
2.7%
산 86
 
2.7%
리 83
 
2.6%
로 74
 
2.3%
문 73
 
2.3%
후 67
 
2.1%
Other values (197) 2256
70.1%
Common
ValueCountFrequency (%)
560
59.5%
1 63
 
6.7%
4 47
 
5.0%
2 44
 
4.7%
) 42
 
4.5%
/ 39
 
4.1%
5 27
 
2.9%
9 25
 
2.7%
7 24
 
2.6%
3 18
 
1.9%
Other values (5) 52
 
5.5%
Latin
ValueCountFrequency (%)
G 19
41.3%
S 17
37.0%
A 2
 
4.3%
C 2
 
4.3%
K 2
 
4.3%
V 2
 
4.3%
P 1
 
2.2%
T 1
 
2.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3219
76.5%
ASCII 987
 
23.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
560
56.7%
1 63
 
6.4%
4 47
 
4.8%
2 44
 
4.5%
) 42
 
4.3%
/ 39
 
4.0%
5 27
 
2.7%
9 25
 
2.5%
7 24
 
2.4%
G 19
 
1.9%
Other values (13) 97
 
9.8%
Hangul
ValueCountFrequency (%)
동 202
 
6.3%
부 101
 
3.1%
앞 96
 
3.0%
근 95
 
3.0%
오 86
 
2.7%
산 86
 
2.7%
리 83
 
2.6%
로 74
 
2.3%
문 73
 
2.3%
후 67
 
2.1%
Other values (197) 2256
70.1%

고지일자
Date

Distinct184
Distinct (%)51.8%
Missing0
Missing (%)0.0%
Memory size2.9 KiB
Minimum2021-12-20 00:00:00
Maximum2022-12-28 00:00:00
2023-12-13T07:13:29.403013image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T07:13:29.525019image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

고지금액
Categorical

IMBALANCE 

Distinct4
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Memory size2.9 KiB
32000
336 
96000
 
16
40000
 
2
104000
 
1

Length

Max length6
Median length5
Mean length5.0028169
Min length5

Unique

Unique1 ?
Unique (%)0.3%

Sample

1st row32000
2nd row32000
3rd row32000
4th row32000
5th row32000

Common Values

ValueCountFrequency (%)
32000 336
94.6%
96000 16
 
4.5%
40000 2
 
0.6%
104000 1
 
0.3%

Length

2023-12-13T07:13:29.664751image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T07:13:29.768548image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
32000 336
94.6%
96000 16
 
4.5%
40000 2
 
0.6%
104000 1
 
0.3%

중가산금
Categorical

CONSTANT 

Distinct1
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size2.9 KiB
0
355 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 355
100.0%

Length

2023-12-13T07:13:29.865048image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T07:13:29.949176image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 355
100.0%

가산금
Categorical

CONSTANT 

Distinct1
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size2.9 KiB
0
355 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 355
100.0%

Length

2023-12-13T07:13:30.048393image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T07:13:30.141247image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 355
100.0%

납기후금액
Categorical

CONSTANT 

Distinct1
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size2.9 KiB
0
355 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 355
100.0%

Length

2023-12-13T07:13:30.246479image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T07:13:30.367529image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 355
100.0%

처리상태코드
Categorical

CONSTANT 

Distinct1
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size2.9 KiB
고지
355 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row고지
2nd row고지
3rd row고지
4th row고지
5th row고지

Common Values

ValueCountFrequency (%)
고지 355
100.0%

Length

2023-12-13T07:13:30.487220image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T07:13:30.593260image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
고지 355
100.0%

처리기관구분
Categorical

CONSTANT 

Distinct1
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size2.9 KiB
관할지자체
355 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row관할지자체
2nd row관할지자체
3rd row관할지자체
4th row관할지자체
5th row관할지자체

Common Values

ValueCountFrequency (%)
관할지자체 355
100.0%

Length

2023-12-13T07:13:30.699358image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T07:13:30.820949image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
관할지자체 355
100.0%

최종수정일시
Date

Distinct212
Distinct (%)59.7%
Missing0
Missing (%)0.0%
Memory size2.9 KiB
Minimum1930-06-22 00:00:00
Maximum2029-07-22 00:00:00
2023-12-13T07:13:30.957656image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T07:13:31.123290image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

부과일자
Date

Distinct184
Distinct (%)51.8%
Missing0
Missing (%)0.0%
Memory size2.9 KiB
Minimum2021-12-20 00:00:00
Maximum2022-12-28 00:00:00
2023-12-13T07:13:31.285220image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T07:13:31.443711image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

납부기한일자
Date

Distinct147
Distinct (%)41.4%
Missing0
Missing (%)0.0%
Memory size2.9 KiB
Minimum2022-01-07 00:00:00
Maximum2023-01-19 00:00:00
2023-12-13T07:13:31.598977image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T07:13:32.099228image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

고지구분
Categorical

CONSTANT 

Distinct1
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size2.9 KiB
수시부과
355 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row수시부과
2nd row수시부과
3rd row수시부과
4th row수시부과
5th row수시부과

Common Values

ValueCountFrequency (%)
수시부과 355
100.0%

Length

2023-12-13T07:13:32.270397image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T07:13:32.385522image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
수시부과 355
100.0%

고지차수
Categorical

CONSTANT 

Distinct1
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size2.9 KiB
1
355 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1
2nd row1
3rd row1
4th row1
5th row1

Common Values

ValueCountFrequency (%)
1 355
100.0%

Length

2023-12-13T07:13:32.495076image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T07:13:32.610433image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 355
100.0%

압류여부
Categorical

CONSTANT 

Distinct1
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size2.9 KiB
미압류
355 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row미압류
2nd row미압류
3rd row미압류
4th row미압류
5th row미압류

Common Values

ValueCountFrequency (%)
미압류 355
100.0%

Length

2023-12-13T07:13:32.704312image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T07:13:32.805493image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
미압류 355
100.0%

우편번호
Real number (ℝ)

Distinct114
Distinct (%)32.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean18465.29
Minimum1045
Maximum63585
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.2 KiB
2023-12-13T07:13:32.915537image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1045
5-th percentile8312
Q118102
median18121
Q318145
95-th percentile28124
Maximum63585
Range62540
Interquartile range (IQR)43

Descriptive statistics

Standard deviation7615.5095
Coefficient of variation (CV)0.41242296
Kurtosis17.520589
Mean18465.29
Median Absolute Deviation (MAD)20
Skewness3.530061
Sum6555178
Variance57995986
MonotonicityNot monotonic
2023-12-13T07:13:33.061982image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
18121 15
 
4.2%
18151 15
 
4.2%
18123 14
 
3.9%
18148 14
 
3.9%
18102 13
 
3.7%
18110 11
 
3.1%
18113 11
 
3.1%
18109 11
 
3.1%
18132 11
 
3.1%
18127 10
 
2.8%
Other values (104) 230
64.8%
ValueCountFrequency (%)
1045 1
 
0.3%
1436 1
 
0.3%
4212 3
 
0.8%
4908 5
1.4%
5605 1
 
0.3%
5815 1
 
0.3%
6323 1
 
0.3%
8312 8
2.3%
10068 1
 
0.3%
10071 1
 
0.3%
ValueCountFrequency (%)
63585 1
 
0.3%
61087 2
0.6%
57926 3
0.8%
54405 1
 
0.3%
54039 2
0.6%
35052 1
 
0.3%
34705 4
1.1%
34337 1
 
0.3%
31998 1
 
0.3%
31404 1
 
0.3%

위반년월
Categorical

Distinct14
Distinct (%)3.9%
Missing0
Missing (%)0.0%
Memory size2.9 KiB
2022-06
51 
2022-07
41 
2022-03
34 
2022-08
32 
2022-01
31 
Other values (9)
166 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2021-12
2nd row2021-12
3rd row2021-11
4th row2021-12
5th row2021-12

Common Values

ValueCountFrequency (%)
2022-06 51
14.4%
2022-07 41
11.5%
2022-03 34
9.6%
2022-08 32
9.0%
2022-01 31
8.7%
2022-11 27
7.6%
2022-10 26
7.3%
2022-05 24
6.8%
2021-12 18
 
5.1%
2022-02 18
 
5.1%
Other values (4) 53
14.9%

Length

2023-12-13T07:13:33.202885image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
2022-06 51
14.4%
2022-07 41
11.5%
2022-03 34
9.6%
2022-08 32
9.0%
2022-01 31
8.7%
2022-11 27
7.6%
2022-10 26
7.3%
2022-05 24
6.8%
2021-12 18
 
5.1%
2022-02 18
 
5.1%
Other values (4) 53
14.9%

수납일자
Date

Distinct175
Distinct (%)49.3%
Missing0
Missing (%)0.0%
Memory size2.9 KiB
Minimum2022-01-03 00:00:00
Maximum2022-12-31 00:00:00
2023-12-13T07:13:33.324836image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T07:13:33.464432image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

수납은행
Categorical

CONSTANT 

Distinct1
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size2.9 KiB
농협
355 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row농협
2nd row농협
3rd row농협
4th row농협
5th row농협

Common Values

ValueCountFrequency (%)
농협 355
100.0%

Length

2023-12-13T07:13:33.604251image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T07:13:33.711160image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
농협 355
100.0%

수납이체일자
Categorical

Distinct17
Distinct (%)4.8%
Missing0
Missing (%)0.0%
Memory size2.9 KiB
2022-08-16
47 
2022-07-13
42 
2022-02-14
40 
2022-09-13
35 
2022-12-13
31 
Other values (12)
160 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique1 ?
Unique (%)0.3%

Sample

1st row2022-02-14
2nd row2022-02-14
3rd row2022-02-14
4th row2022-02-14
5th row2022-02-14

Common Values

ValueCountFrequency (%)
2022-08-16 47
13.2%
2022-07-13 42
11.8%
2022-02-14 40
11.3%
2022-09-13 35
9.9%
2022-12-13 31
8.7%
2023-01-13 27
7.6%
2022-05-13 23
6.5%
2022-10-13 23
6.5%
2022-04-13 22
6.2%
2022-11-14 21
5.9%
Other values (7) 44
12.4%

Length

2023-12-13T07:13:33.806799image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
2022-08-16 47
13.2%
2022-07-13 42
11.8%
2022-02-14 40
11.3%
2022-09-13 35
9.9%
2022-12-13 31
8.7%
2023-01-13 27
7.6%
2022-05-13 23
6.5%
2022-10-13 23
6.5%
2022-04-13 22
6.2%
2022-11-14 21
5.9%
Other values (7) 44
12.4%

수납회계일자
Date

Distinct160
Distinct (%)45.1%
Missing0
Missing (%)0.0%
Memory size2.9 KiB
Minimum2022-01-03 00:00:00
Maximum2023-01-02 00:00:00
2023-12-13T07:13:33.918451image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T07:13:34.089396image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

수납금액
Categorical

IMBALANCE 

Distinct4
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Memory size2.9 KiB
32000
336 
96000
 
16
40000
 
2
104000
 
1

Length

Max length6
Median length5
Mean length5.0028169
Min length5

Unique

Unique1 ?
Unique (%)0.3%

Sample

1st row32000
2nd row32000
3rd row32000
4th row32000
5th row32000

Common Values

ValueCountFrequency (%)
32000 336
94.6%
96000 16
 
4.5%
40000 2
 
0.6%
104000 1
 
0.3%

Length

2023-12-13T07:13:34.249065image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T07:13:34.353434image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
32000 336
94.6%
96000 16
 
4.5%
40000 2
 
0.6%
104000 1
 
0.3%

Sample

등록일자적발일자위반시간위반장소고지일자고지금액중가산금가산금납기후금액처리상태코드처리기관구분최종수정일시부과일자납부기한일자고지구분고지차수압류여부우편번호위반년월수납일자수납은행수납이체일자수납회계일자수납금액
02022-01-032021-12-201430오산동 오산로 부근2021-12-2232000000고지관할지자체2021-12-232021-12-222022-01-10수시부과1미압류177182021-122022-01-03농협2022-02-142022-01-0332000
12022-01-042021-12-222027센트하임 앞2021-12-2432000000고지관할지자체2021-12-242021-12-242022-01-11수시부과1미압류162702021-122022-01-04농협2022-02-142022-01-0432000
22022-01-042021-11-261748궐동 양평해장국 사거리2021-12-2332000000고지관할지자체2021-12-232021-12-232022-01-07수시부과1미압류181252021-112022-01-04농협2022-02-142022-01-0432000
32022-01-052021-12-24858한라아파트정문2021-12-2832000000고지관할지자체2021-12-282021-12-282022-01-17수시부과1미압류165352021-122022-01-05농협2022-02-142022-01-0532000
42022-01-062021-12-20821중앙동 세명프라자2021-12-2232000000고지관할지자체2021-12-232021-12-222022-01-10수시부과1미압류181482021-122022-01-06농협2022-02-142022-01-0632000
52022-01-062021-12-161037원동 오산로226번길 부근2021-12-2032000000고지관할지자체2021-12-312021-12-202022-01-07수시부과1미압류181482021-122022-01-06농협2022-02-142022-01-0632000
62022-01-072021-12-261623시청후문2021-12-3032000000고지관할지자체2021-12-272021-12-302022-01-17수시부과1미압류181452021-122022-01-07농협2022-02-142022-01-0732000
72022-01-072021-11-301106오산대역 더샵 후문2021-12-2332000000고지관할지자체2022-01-052021-12-232022-01-07수시부과1미압류181502021-112022-01-07농협2022-02-142022-01-0732000
82022-01-072021-12-221556센트하임 앞2021-12-2432000000고지관할지자체2021-12-292021-12-242022-01-11수시부과1미압류181212021-122022-01-07농협2022-02-142022-01-0732000
92022-01-122021-12-251031원동 현대연립 앞2021-12-2832000000고지관할지자체2022-01-102021-12-282022-01-17수시부과1미압류181092021-122022-01-12농협2022-02-142022-01-1232000
등록일자적발일자위반시간위반장소고지일자고지금액중가산금가산금납기후금액처리상태코드처리기관구분최종수정일시부과일자납부기한일자고지구분고지차수압류여부우편번호위반년월수납일자수납은행수납이체일자수납회계일자수납금액
3452022-12-272022-12-201625운암4단지후문 초심앞2022-12-2232000000고지관할지자체2022-12-222022-12-222023-01-09수시부과1미압류181392022-122022-12-27농협2023-01-132022-12-2732000
3462022-12-272022-12-202046오산대역 2번출입구2022-12-2232000000고지관할지자체2022-12-222022-12-222023-01-09수시부과1미압류181132022-122022-12-27농협2023-01-132022-12-2732000
3472022-12-282022-12-15859앱)누읍동 이림아파트부근 인도/1분이상2022-12-1532000000고지관할지자체2015-12-222022-12-152023-01-02수시부과1미압류181252022-122022-12-28농협2023-01-132022-12-2832000
3482022-12-292022-12-06758(앱)가장동 와이즐부근횡단보도/1분이상)2022-12-1132000000고지관할지자체2011-12-222022-12-112022-12-29수시부과1미압류181212022-122022-12-29농협2023-01-132022-12-2932000
3492022-12-292022-12-221800앱) 원동 말달리자부근 황색선/10분이상2022-12-2332000000고지관할지자체2023-12-222022-12-232023-01-10수시부과1미압류170272022-122022-12-29농협2023-01-132022-12-2932000
3502022-12-302022-11-201521어울림 복개천사거리2022-12-1532000000고지관할지자체2022-12-152022-12-152022-12-30수시부과1미압류181012022-112022-12-30농협2023-01-132022-12-3032000
3512022-12-302022-12-262039고래등 포차앞2022-12-2832000000고지관할지자체2022-12-282022-12-282023-01-16수시부과1미압류181182022-122022-12-30농협2023-01-132022-12-3032000
3522022-12-302022-12-161851법원앞2022-12-1932000000고지관할지자체2022-12-192022-12-192023-01-06수시부과1미압류181492022-122022-12-30농협2023-01-132022-12-3032000
3532022-12-302022-12-191853법원앞2022-12-2132000000고지관할지자체2022-12-212022-12-212023-01-09수시부과1미압류181492022-122022-12-30농협2023-01-132022-12-3032000
3542022-12-312022-12-161026오산동 오산로 268 부근2022-12-1932000000고지관할지자체2022-12-192022-12-192023-01-06수시부과1미압류181252022-122022-12-31농협2023-01-132023-01-0232000