Overview

Dataset statistics

Number of variables10
Number of observations204
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory16.5 KiB
Average record size in memory82.6 B

Variable types

Categorical7
Boolean1
Text2

Dataset

Description신용카드,가상계좌 등 지방세 납부매체별 납부현황. 전자송달 시장규모 및 편익 분석 수수료 산정 시 기초 자료로 활용하는 데이터를 제공합니다.
Author경상북도 성주군
URLhttps://www.data.go.kr/data/15078619/fileData.do

Alerts

시도명 has constant value ""Constant
시군구명 has constant value ""Constant
자치단체코드 has constant value ""Constant
납부매체전자고지여부 is highly overall correlated with 납부매체High correlation
납부매체 is highly overall correlated with 납부매체전자고지여부High correlation
납부금액 has unique valuesUnique

Reproduction

Analysis started2023-12-12 01:55:57.819117
Analysis finished2023-12-12 01:55:58.604026
Duration0.78 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

시도명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
경상북도
204 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
경상북도 204
100.0%

Length

2023-12-12T10:55:58.696901image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T10:55:58.812751image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
경상북도 204
100.0%

시군구명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
성주군
204 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
성주군 204
100.0%

Length

2023-12-12T10:55:58.931265image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T10:55:59.057761image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
성주군 204
100.0%

자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
47840
204 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row47840
2nd row47840
3rd row47840
4th row47840
5th row47840

Common Values

ValueCountFrequency (%)
47840 204
100.0%

Length

2023-12-12T10:55:59.183380image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T10:55:59.304327image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
47840 204
100.0%

납부년도
Categorical

Distinct3
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
2019
72 
2017
68 
2018
64 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2017
2nd row2017
3rd row2017
4th row2017
5th row2017

Common Values

ValueCountFrequency (%)
2019 72
35.3%
2017 68
33.3%
2018 64
31.4%

Length

2023-12-12T10:55:59.450979image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T10:55:59.592867image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2019 72
35.3%
2017 68
33.3%
2018 64
31.4%

세목명
Categorical

Distinct12
Distinct (%)5.9%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
자동차세
28 
재산세
28 
주민세
28 
등록면허세
27 
지방소득세
24 
Other values (7)
69 

Length

Max length7
Median length5
Mean length3.9754902
Min length3

Unique

Unique1 ?
Unique (%)0.5%

Sample

1st row등록면허세
2nd row자동차세
3rd row재산세
4th row주민세
5th row지방소득세

Common Values

ValueCountFrequency (%)
자동차세 28
13.7%
재산세 28
13.7%
주민세 28
13.7%
등록면허세 27
13.2%
지방소득세 24
11.8%
취득세 24
11.8%
등록세 16
7.8%
지역자원시설세 11
 
5.4%
담배소비세 7
 
3.4%
면허세 5
 
2.5%
Other values (2) 6
 
2.9%

Length

2023-12-12T10:56:00.083550image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
자동차세 28
13.7%
재산세 28
13.7%
주민세 28
13.7%
등록면허세 27
13.2%
지방소득세 24
11.8%
취득세 24
11.8%
등록세 16
7.8%
지역자원시설세 11
 
5.4%
담배소비세 7
 
3.4%
면허세 5
 
2.5%
Other values (2) 6
 
2.9%

납부매체
Categorical

HIGH CORRELATION 

Distinct10
Distinct (%)4.9%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
은행창구
32 
가상계좌
29 
자동화기기
25 
기타
24 
위택스
23 
Other values (5)
71 

Length

Max length5
Median length4
Mean length3.8872549
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
은행창구 32
15.7%
가상계좌 29
14.2%
자동화기기 25
12.3%
기타 24
11.8%
위택스 23
11.3%
인터넷지로 20
9.8%
ARS 18
8.8%
지자체방문 18
8.8%
자동이체 12
 
5.9%
페이사납부 3
 
1.5%

Length

2023-12-12T10:56:00.259444image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T10:56:00.476893image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
은행창구 32
15.7%
가상계좌 29
14.2%
자동화기기 25
12.3%
기타 24
11.8%
위택스 23
11.3%
인터넷지로 20
9.8%
ars 18
8.8%
지자체방문 18
8.8%
자동이체 12
 
5.9%
페이사납부 3
 
1.5%

납부매체전자고지여부
Boolean

HIGH CORRELATION 

Distinct2
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size336.0 B
False
117 
True
87 
ValueCountFrequency (%)
False 117
57.4%
True 87
42.6%
2023-12-12T10:56:00.668812image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

납부건수
Text

Distinct156
Distinct (%)76.5%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
2023-12-12T10:56:01.092633image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length8
Median length7
Mean length5.245098
Min length3

Characters and Unicode

Total characters1070
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique136 ?
Unique (%)66.7%

Sample

1st row 8
2nd row 142
3rd row 128
4th row 8
5th row 3
ValueCountFrequency (%)
1 10
 
4.9%
3 8
 
3.9%
2 6
 
2.9%
6 5
 
2.5%
8 3
 
1.5%
60 3
 
1.5%
4 3
 
1.5%
7 3
 
1.5%
15 3
 
1.5%
30 3
 
1.5%
Other values (146) 157
77.0%
2023-12-12T10:56:01.696182image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
408
38.1%
1 103
 
9.6%
, 77
 
7.2%
2 75
 
7.0%
7 66
 
6.2%
3 64
 
6.0%
4 54
 
5.0%
8 49
 
4.6%
6 47
 
4.4%
5 47
 
4.4%
Other values (2) 80
 
7.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 585
54.7%
Space Separator 408
38.1%
Other Punctuation 77
 
7.2%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 103
17.6%
2 75
12.8%
7 66
11.3%
3 64
10.9%
4 54
9.2%
8 49
8.4%
6 47
8.0%
5 47
8.0%
0 40
 
6.8%
9 40
 
6.8%
Space Separator
ValueCountFrequency (%)
408
100.0%
Other Punctuation
ValueCountFrequency (%)
, 77
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1070
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
408
38.1%
1 103
 
9.6%
, 77
 
7.2%
2 75
 
7.0%
7 66
 
6.2%
3 64
 
6.0%
4 54
 
5.0%
8 49
 
4.6%
6 47
 
4.4%
5 47
 
4.4%
Other values (2) 80
 
7.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1070
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
408
38.1%
1 103
 
9.6%
, 77
 
7.2%
2 75
 
7.0%
7 66
 
6.2%
3 64
 
6.0%
4 54
 
5.0%
8 49
 
4.6%
6 47
 
4.4%
5 47
 
4.4%
Other values (2) 80
 
7.5%

납부금액
Text

UNIQUE 

Distinct204
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
2023-12-12T10:56:02.103559image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length16
Median length13
Mean length12.078431
Min length7

Characters and Unicode

Total characters2464
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique204 ?
Unique (%)100.0%

Sample

1st row 77,580
2nd row 27,824,470
3rd row 9,098,440
4th row 79,120
5th row 534,570
ValueCountFrequency (%)
77,580 1
 
0.5%
126,078,980 1
 
0.5%
196,860 1
 
0.5%
261,340 1
 
0.5%
15,994,920 1
 
0.5%
198,810 1
 
0.5%
40,095,780 1
 
0.5%
23,133,020 1
 
0.5%
312,290 1
 
0.5%
1,419,640 1
 
0.5%
Other values (194) 194
95.1%
2023-12-12T10:56:02.687196image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
, 414
16.8%
408
16.6%
0 342
13.9%
1 195
7.9%
3 153
 
6.2%
8 145
 
5.9%
4 145
 
5.9%
6 145
 
5.9%
2 141
 
5.7%
5 137
 
5.6%
Other values (2) 239
9.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1642
66.6%
Other Punctuation 414
 
16.8%
Space Separator 408
 
16.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 342
20.8%
1 195
11.9%
3 153
9.3%
8 145
8.8%
4 145
8.8%
6 145
8.8%
2 141
8.6%
5 137
8.3%
9 123
 
7.5%
7 116
 
7.1%
Other Punctuation
ValueCountFrequency (%)
, 414
100.0%
Space Separator
ValueCountFrequency (%)
408
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 2464
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
, 414
16.8%
408
16.6%
0 342
13.9%
1 195
7.9%
3 153
 
6.2%
8 145
 
5.9%
4 145
 
5.9%
6 145
 
5.9%
2 141
 
5.7%
5 137
 
5.6%
Other values (2) 239
9.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2464
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
, 414
16.8%
408
16.6%
0 342
13.9%
1 195
7.9%
3 153
 
6.2%
8 145
 
5.9%
4 145
 
5.9%
6 145
 
5.9%
2 141
 
5.7%
5 137
 
5.6%
Other values (2) 239
9.7%

납부매체비율
Categorical

Distinct50
Distinct (%)24.5%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
0
45 
1
13 
3
13 
2
 
11
8
 
8
Other values (45)
114 

Length

Max length4
Median length3
Mean length3.4460784
Min length3

Unique

Unique20 ?
Unique (%)9.8%

Sample

1st row 3
2nd row 49
3rd row 44
4th row 3
5th row 1

Common Values

ValueCountFrequency (%)
0 45
22.1%
1 13
 
6.4%
3 13
 
6.4%
2 11
 
5.4%
8 8
 
3.9%
14 7
 
3.4%
9 6
 
2.9%
15 5
 
2.5%
10 5
 
2.5%
28 5
 
2.5%
Other values (40) 86
42.2%

Length

2023-12-12T10:56:02.891353image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
0 45
22.1%
3 13
 
6.4%
1 13
 
6.4%
2 11
 
5.4%
8 8
 
3.9%
14 7
 
3.4%
9 6
 
2.9%
15 5
 
2.5%
10 5
 
2.5%
28 5
 
2.5%
Other values (40) 86
42.2%

Correlations

2023-12-12T10:56:02.998532image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
납부년도세목명납부매체납부매체전자고지여부납부매체비율
납부년도1.0000.0000.0000.0000.000
세목명0.0001.0000.0000.0000.675
납부매체0.0000.0001.0001.0000.839
납부매체전자고지여부0.0000.0001.0001.0000.472
납부매체비율0.0000.6750.8390.4721.000
2023-12-12T10:56:03.112175image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
세목명납부매체전자고지여부납부매체비율납부년도납부매체
세목명1.0000.0000.2470.0000.000
납부매체전자고지여부0.0001.0000.3280.0000.980
납부매체비율0.2470.3281.0000.0000.395
납부년도0.0000.0000.0001.0000.000
납부매체0.0000.9800.3950.0001.000
2023-12-12T10:56:03.218131image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
납부년도세목명납부매체납부매체전자고지여부납부매체비율
납부년도1.0000.0000.0000.0000.000
세목명0.0001.0000.0000.0000.247
납부매체0.0000.0001.0000.9800.395
납부매체전자고지여부0.0000.0000.9801.0000.328
납부매체비율0.0000.2470.3950.3281.000

Missing values

2023-12-12T10:55:58.341490image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T10:55:58.529343image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

Sample

시도명시군구명자치단체코드납부년도세목명납부매체납부매체전자고지여부납부건수납부금액납부매체비율
0경상북도성주군478402017등록면허세ARSN877,5803
1경상북도성주군478402017자동차세ARSN14227,824,47049
2경상북도성주군478402017재산세ARSN1289,098,44044
3경상북도성주군478402017주민세ARSN879,1203
4경상북도성주군478402017지방소득세ARSN3534,5701
5경상북도성주군478402017취득세ARSN139,4400
6경상북도성주군478402017등록면허세가상계좌Y4,00768,214,6309
7경상북도성주군478402017등록세가상계좌Y4541,9500
8경상북도성주군478402017면허세가상계좌Y324,7200
9경상북도성주군478402017자동차세가상계좌Y13,8191,868,581,64030
시도명시군구명자치단체코드납부년도세목명납부매체납부매체전자고지여부납부건수납부금액납부매체비율
194경상북도성주군478402019취득세자동화기기N3,9505,877,322,10013
195경상북도성주군478402019등록면허세지자체방문N46661,80031
196경상북도성주군478402019자동차세지자체방문N61,248,7104
197경상북도성주군478402019재산세지자체방문N685,286,84045
198경상북도성주군478402019주민세지자체방문N156,6501
199경상북도성주군478402019지방소득세지자체방문N3242,7902
200경상북도성주군478402019취득세지자체방문N26246,673,23017
201경상북도성주군478402019자동차세페이사납부Y527,743,39019
202경상북도성주군478402019재산세페이사납부Y1756,534,67066
203경상북도성주군478402019주민세페이사납부Y40690,65015