Overview

Dataset statistics

Number of variables7
Number of observations24
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.5 KiB
Average record size in memory64.5 B

Variable types

Categorical4
Text2
Numeric1

Dataset

Description신용카드, 가상계좌 등 지방세 납부 매체별 납부 현황을 제공합니다.-제공내용 : 납부년도, 세목명, 납부매체, 납부건수, 납부금액, 납부매체비율
Author전라남도 순천시
URLhttps://www.data.go.kr/data/15080008/fileData.do

Alerts

시도명 has constant value ""Constant
시군구명 has constant value ""Constant
자치단체코드 has constant value ""Constant
납부년도 has constant value ""Constant
납부매체 has unique valuesUnique
납부금액 has unique valuesUnique

Reproduction

Analysis started2024-04-21 01:53:13.169150
Analysis finished2024-04-21 01:53:14.917775
Duration1.75 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

시도명
Categorical

CONSTANT 

Distinct1
Distinct (%)4.2%
Missing0
Missing (%)0.0%
Memory size324.0 B
전라남도
24 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
전라남도 24
100.0%

Length

2024-04-21T10:53:14.988363image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T10:53:15.084645image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
전라남도 24
100.0%

시군구명
Categorical

CONSTANT 

Distinct1
Distinct (%)4.2%
Missing0
Missing (%)0.0%
Memory size324.0 B
순천시
24 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
순천시 24
100.0%

Length

2024-04-21T10:53:15.180192image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T10:53:15.271216image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
순천시 24
100.0%

자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)4.2%
Missing0
Missing (%)0.0%
Memory size324.0 B
46150
24 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row46150
2nd row46150
3rd row46150
4th row46150
5th row46150

Common Values

ValueCountFrequency (%)
46150 24
100.0%

Length

2024-04-21T10:53:15.371813image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T10:53:15.460891image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
46150 24
100.0%

납부년도
Categorical

CONSTANT 

Distinct1
Distinct (%)4.2%
Missing0
Missing (%)0.0%
Memory size324.0 B
2023
24 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2023
2nd row2023
3rd row2023
4th row2023
5th row2023

Common Values

ValueCountFrequency (%)
2023 24
100.0%

Length

2024-04-21T10:53:15.560368image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T10:53:15.644552image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2023 24
100.0%

납부매체
Text

UNIQUE 

Distinct24
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size324.0 B
2024-04-21T10:53:15.813770image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length9.5
Mean length7.375
Min length3

Characters and Unicode

Total characters177
Distinct characters79
Distinct categories6 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique24 ?
Unique (%)100.0%

Sample

1st row인터넷지로시스템
2nd row인터넷지로신용카드
3rd row링크납부
4th row링크납부신용카드
5th row자치단체 카드로택스납부
ValueCountFrequency (%)
인터넷지로시스템 1
 
3.7%
공과금수납기 1
 
3.7%
변제금수납 1
 
3.7%
추심금수납 1
 
3.7%
공매배당금수납 1
 
3.7%
경매배당금수납 1
 
3.7%
충당수납 1
 
3.7%
수기수납(신고납입 1
 
3.7%
전화기반결제(ars 1
 
3.7%
가상계좌 1
 
3.7%
Other values (17) 17
63.0%
2024-04-21T10:53:16.147946image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
납 15
 
8.5%
수 11
 
6.2%
카 5
 
2.8%
금 5
 
2.8%
부 5
 
2.8%
드 5
 
2.8%
신 5
 
2.8%
) 4
 
2.3%
( 4
 
2.3%
인 4
 
2.3%
Other values (69) 114
64.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 157
88.7%
Uppercase Letter 8
 
4.5%
Close Punctuation 4
 
2.3%
Open Punctuation 4
 
2.3%
Space Separator 3
 
1.7%
Other Punctuation 1
 
0.6%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
납 15
 
9.6%
수 11
 
7.0%
카 5
 
3.2%
금 5
 
3.2%
부 5
 
3.2%
드 5
 
3.2%
신 5
 
3.2%
인 4
 
2.5%
용 4
 
2.5%
동 3
 
1.9%
Other values (58) 95
60.5%
Uppercase Letter
ValueCountFrequency (%)
A 2
25.0%
R 1
12.5%
S 1
12.5%
C 1
12.5%
D 1
12.5%
T 1
12.5%
M 1
12.5%
Close Punctuation
ValueCountFrequency (%)
) 4
100.0%
Open Punctuation
ValueCountFrequency (%)
( 4
100.0%
Space Separator
ValueCountFrequency (%)
3
100.0%
Other Punctuation
ValueCountFrequency (%)
/ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 157
88.7%
Common 12
 
6.8%
Latin 8
 
4.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
납 15
 
9.6%
수 11
 
7.0%
카 5
 
3.2%
금 5
 
3.2%
부 5
 
3.2%
드 5
 
3.2%
신 5
 
3.2%
인 4
 
2.5%
용 4
 
2.5%
동 3
 
1.9%
Other values (58) 95
60.5%
Latin
ValueCountFrequency (%)
A 2
25.0%
R 1
12.5%
S 1
12.5%
C 1
12.5%
D 1
12.5%
T 1
12.5%
M 1
12.5%
Common
ValueCountFrequency (%)
) 4
33.3%
( 4
33.3%
3
25.0%
/ 1
 
8.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 157
88.7%
ASCII 20
 
11.3%

Most frequent character per block

Hangul
ValueCountFrequency (%)
납 15
 
9.6%
수 11
 
7.0%
카 5
 
3.2%
금 5
 
3.2%
부 5
 
3.2%
드 5
 
3.2%
신 5
 
3.2%
인 4
 
2.5%
용 4
 
2.5%
동 3
 
1.9%
Other values (58) 95
60.5%
ASCII
ValueCountFrequency (%)
) 4
20.0%
( 4
20.0%
3
15.0%
A 2
10.0%
R 1
 
5.0%
S 1
 
5.0%
C 1
 
5.0%
D 1
 
5.0%
/ 1
 
5.0%
T 1
 
5.0%

납부건수
Real number (ℝ)

Distinct23
Distinct (%)95.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean33445.333
Minimum43
Maximum357481
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size348.0 B
2024-04-21T10:53:16.275711image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum43
5-th percentile236.05
Q11042
median6417
Q340840.5
95-th percentile79971.25
Maximum357481
Range357438
Interquartile range (IQR)39798.5

Descriptive statistics

Standard deviation73753.782
Coefficient of variation (CV)2.205204
Kurtosis17.648194
Mean33445.333
Median Absolute Deviation (MAD)6147
Skewness3.9958211
Sum802688
Variance5.4396204 × 109
MonotonicityNot monotonic
2024-04-21T10:53:16.391701image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=23)
ValueCountFrequency (%)
1275 2
 
8.3%
9392 1
 
4.2%
22049 1
 
4.2%
343 1
 
4.2%
259 1
 
4.2%
232 1
 
4.2%
281 1
 
4.2%
3888 1
 
4.2%
2525 1
 
4.2%
40414 1
 
4.2%
Other values (13) 13
54.2%
ValueCountFrequency (%)
43 1
4.2%
232 1
4.2%
259 1
4.2%
281 1
4.2%
307 1
4.2%
343 1
4.2%
1275 2
8.3%
1936 1
4.2%
2522 1
4.2%
2525 1
4.2%
ValueCountFrequency (%)
357481 1
4.2%
81400 1
4.2%
71875 1
4.2%
69583 1
4.2%
53664 1
4.2%
42120 1
4.2%
40414 1
4.2%
22049 1
4.2%
21660 1
4.2%
9392 1
4.2%

납부금액
Text

UNIQUE 

Distinct24
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size324.0 B
2024-04-21T10:53:16.583136image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length15
Median length11
Mean length9.875
Min length7

Characters and Unicode

Total characters237
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

Unique24 ?
Unique (%)100.0%

Sample

1st row 4,040,845,940
2nd row5085879030
3rd row32634891550
4th row84948273220
5th row746047080
ValueCountFrequency (%)
4,040,845,940 1
 
4.2%
5085879030 1
 
4.2%
53546640 1
 
4.2%
111088900 1
 
4.2%
94635200 1
 
4.2%
169848830 1
 
4.2%
103868130 1
 
4.2%
7250458770 1
 
4.2%
6962276360 1
 
4.2%
59244435600 1
 
4.2%
Other values (14) 14
58.3%
2024-04-21T10:53:16.932760image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 41
17.3%
4 28
11.8%
6 24
10.1%
9 23
9.7%
3 22
9.3%
2 22
9.3%
8 21
8.9%
7 18
7.6%
5 17
7.2%
1 16
 
6.8%
Other values (2) 5
 
2.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 232
97.9%
Other Punctuation 3
 
1.3%
Space Separator 2
 
0.8%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 41
17.7%
4 28
12.1%
6 24
10.3%
9 23
9.9%
3 22
9.5%
2 22
9.5%
8 21
9.1%
7 18
7.8%
5 17
7.3%
1 16
 
6.9%
Other Punctuation
ValueCountFrequency (%)
, 3
100.0%
Space Separator
ValueCountFrequency (%)
2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 237
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 41
17.3%
4 28
11.8%
6 24
10.1%
9 23
9.7%
3 22
9.3%
2 22
9.3%
8 21
8.9%
7 18
7.6%
5 17
7.2%
1 16
 
6.8%
Other values (2) 5
 
2.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 237
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 41
17.3%
4 28
11.8%
6 24
10.1%
9 23
9.7%
3 22
9.3%
2 22
9.3%
8 21
8.9%
7 18
7.6%
5 17
7.2%
1 16
 
6.8%
Other values (2) 5
 
2.1%

Interactions

2024-04-21T10:53:14.565209image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-04-21T10:53:17.038974image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
납부매체납부건수납부금액
납부매체1.0001.0001.000
납부건수1.0001.0001.000
납부금액1.0001.0001.000

Missing values

2024-04-21T10:53:14.754204image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-04-21T10:53:14.863305image/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

시도명시군구명자치단체코드납부년도납부매체납부건수납부금액
0전라남도순천시461502023인터넷지로시스템93924,040,845,940
1전라남도순천시461502023인터넷지로신용카드92185085879030
2전라남도순천시461502023링크납부4212032634891550
3전라남도순천시461502023링크납부신용카드7187584948273220
4전라남도순천시461502023자치단체 카드로택스납부1275746047080
5전라남도순천시461502023계좌자동납부216602346973620
6전라남도순천시461502023신용카드자동납부1936278292060
7전라남도순천시461502023인터넷뱅킹5366422589263070
8전라남도순천시461502023폰뱅킹2522134564460
9전라남도순천시461502023모바일뱅킹89461627413600
시도명시군구명자치단체코드납부년도납부매체납부건수납부금액
14전라남도순천시461502023국가재정정보(디브레인)433934690
15전라남도순천시461502023가상계좌35748159244435600
16전라남도순천시461502023전화기반결제(ARS)404146962276360
17전라남도순천시461502023수기수납(신고납입)25257250458770
18전라남도순천시461502023충당수납3888103868130
19전라남도순천시461502023경매배당금수납281169848830
20전라남도순천시461502023공매배당금수납23294635200
21전라남도순천시461502023추심금수납1275111088900
22전라남도순천시461502023변제금수납25953546640
23전라남도순천시461502023수작업수납34318991361170