Overview

Dataset statistics

Number of variables4
Number of observations285
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory9.3 KiB
Average record size in memory33.4 B

Variable types

Numeric1
Text2
DateTime1

Dataset

Description국세청 누리집을 통해 제공되는 연간 세무일정입니다.국세기본법 제5조(기한의특례) 규정에 따라 신고·납부 기한일이 공휴일·토요일 또는 근로자의 날 에 해당하는 때에는 공휴일·토요일 또는 근로자의 날의 다음날을 기한으로 합니다.
Author국세청
URLhttps://www.data.go.kr/data/15101035/fileData.do

Alerts

순번 has unique valuesUnique

Reproduction

Analysis started2024-03-14 21:25:31.740540
Analysis finished2024-03-14 21:25:32.536207
Duration0.8 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

순번
Real number (ℝ)

UNIQUE 

Distinct285
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean143
Minimum1
Maximum285
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.6 KiB
2024-03-15T06:25:32.769876image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile15.2
Q172
median143
Q3214
95-th percentile270.8
Maximum285
Range284
Interquartile range (IQR)142

Descriptive statistics

Standard deviation82.416625
Coefficient of variation (CV)0.57634003
Kurtosis-1.2
Mean143
Median Absolute Deviation (MAD)71
Skewness0
Sum40755
Variance6792.5
MonotonicityStrictly increasing
2024-03-15T06:25:33.194365image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.4%
189 1
 
0.4%
195 1
 
0.4%
194 1
 
0.4%
193 1
 
0.4%
192 1
 
0.4%
191 1
 
0.4%
190 1
 
0.4%
188 1
 
0.4%
197 1
 
0.4%
Other values (275) 275
96.5%
ValueCountFrequency (%)
1 1
0.4%
2 1
0.4%
3 1
0.4%
4 1
0.4%
5 1
0.4%
6 1
0.4%
7 1
0.4%
8 1
0.4%
9 1
0.4%
10 1
0.4%
ValueCountFrequency (%)
285 1
0.4%
284 1
0.4%
283 1
0.4%
282 1
0.4%
281 1
0.4%
280 1
0.4%
279 1
0.4%
278 1
0.4%
277 1
0.4%
276 1
0.4%

세무내용
Text

Distinct142
Distinct (%)49.8%
Missing0
Missing (%)0.0%
Memory size2.4 KiB
2024-03-15T06:25:34.349999image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length44
Median length30
Mean length21.042105
Min length7

Characters and Unicode

Total characters5997
Distinct characters150
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique119 ?
Unique (%)41.8%

Sample

1st row일용근로소득지급명세서 제출기한
2nd row간이지급명세서(거주자의 사업소득) 제출기한
3rd row용역제공자에 관한 과세자료 제출기한
4th row원천세 반기별 납부 신청기한
5th row개별소비세(석유류ㆍ담배) 교통ㆍ에너지ㆍ환경세 신고 납부
ValueCountFrequency (%)
납부 90
 
7.9%
신고 89
 
7.8%
결산법인 72
 
6.3%
제출기한 58
 
5.1%
중간예납 49
 
4.3%
및 33
 
2.9%
간이지급명세서(거주자의 26
 
2.3%
법인세 26
 
2.3%
양도소득세 20
 
1.7%
예정신고 19
 
1.7%
Other values (129) 661
57.8%
2024-03-15T06:25:36.092357image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
869
 
14.5%
세 317
 
5.3%
납 205
 
3.4%
부 155
 
2.6%
신 147
 
2.5%
인 145
 
2.4%
고 144
 
2.4%
제 139
 
2.3%
법 136
 
2.3%
기 129
 
2.2%
Other values (140) 3611
60.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 4630
77.2%
Space Separator 869
 
14.5%
Decimal Number 231
 
3.9%
Close Punctuation 127
 
2.1%
Open Punctuation 127
 
2.1%
Other Punctuation 13
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
세 317
 
6.8%
납 205
 
4.4%
부 155
 
3.3%
신 147
 
3.2%
인 145
 
3.1%
고 144
 
3.1%
제 139
 
3.0%
법 136
 
2.9%
기 129
 
2.8%
소 112
 
2.4%
Other values (125) 3001
64.8%
Decimal Number
ValueCountFrequency (%)
2 72
31.2%
1 67
29.0%
3 37
16.0%
0 13
 
5.6%
4 10
 
4.3%
6 7
 
3.0%
5 7
 
3.0%
9 6
 
2.6%
7 6
 
2.6%
8 6
 
2.6%
Other Punctuation
ValueCountFrequency (%)
· 8
61.5%
. 5
38.5%
Space Separator
ValueCountFrequency (%)
869
100.0%
Close Punctuation
ValueCountFrequency (%)
) 127
100.0%
Open Punctuation
ValueCountFrequency (%)
( 127
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 4630
77.2%
Common 1367
 
22.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
세 317
 
6.8%
납 205
 
4.4%
부 155
 
3.3%
신 147
 
3.2%
인 145
 
3.1%
고 144
 
3.1%
제 139
 
3.0%
법 136
 
2.9%
기 129
 
2.8%
소 112
 
2.4%
Other values (125) 3001
64.8%
Common
ValueCountFrequency (%)
869
63.6%
) 127
 
9.3%
( 127
 
9.3%
2 72
 
5.3%
1 67
 
4.9%
3 37
 
2.7%
0 13
 
1.0%
4 10
 
0.7%
· 8
 
0.6%
6 7
 
0.5%
Other values (5) 30
 
2.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 4527
75.5%
ASCII 1359
 
22.7%
Compat Jamo 103
 
1.7%
None 8
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
869
63.9%
) 127
 
9.3%
( 127
 
9.3%
2 72
 
5.3%
1 67
 
4.9%
3 37
 
2.7%
0 13
 
1.0%
4 10
 
0.7%
6 7
 
0.5%
5 7
 
0.5%
Other values (4) 23
 
1.7%
Hangul
ValueCountFrequency (%)
세 317
 
7.0%
납 205
 
4.5%
부 155
 
3.4%
신 147
 
3.2%
인 145
 
3.2%
고 144
 
3.2%
제 139
 
3.1%
법 136
 
3.0%
기 129
 
2.8%
소 112
 
2.5%
Other values (124) 2898
64.0%
Compat Jamo
ValueCountFrequency (%)
ㆍ 103
100.0%
None
ValueCountFrequency (%)
· 8
100.0%

비고
Text

Distinct173
Distinct (%)60.7%
Missing0
Missing (%)0.0%
Memory size2.4 KiB
2024-03-15T06:25:37.004593image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length32
Median length21
Mean length12.831579
Min length7

Characters and Unicode

Total characters3657
Distinct characters71
Distinct categories8 ?
Distinct scripts2 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique118 ?
Unique (%)41.4%

Sample

1st row2023년 11월 지급분
2nd row2023년 11월 지급분
3rd row2023년 11월 소득 발생분
4th row2024.상반기분
5th row2023.11월분
ValueCountFrequency (%)
2024년 61
 
11.7%
지급분 43
 
8.3%
2023년 20
 
3.8%
양도분 18
 
3.5%
소득 14
 
2.7%
발생분 14
 
2.7%
상속 12
 
2.3%
작성분 12
 
2.3%
2023.1~12월분 9
 
1.7%
2023.3~2024.2월분 8
 
1.5%
Other values (150) 310
59.5%
2024-03-15T06:25:38.354704image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 779
21.3%
0 378
10.3%
. 338
9.2%
월 271
 
7.4%
분 254
 
6.9%
4 241
 
6.6%
236
 
6.5%
1 206
 
5.6%
3 173
 
4.7%
년 84
 
2.3%
Other values (61) 697
19.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1926
52.7%
Other Letter 1028
28.1%
Other Punctuation 338
 
9.2%
Space Separator 236
 
6.5%
Math Symbol 72
 
2.0%
Dash Punctuation 49
 
1.3%
Close Punctuation 4
 
0.1%
Open Punctuation 4
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
월 271
26.4%
분 254
24.7%
년 84
 
8.2%
지 51
 
5.0%
급 43
 
4.2%
도 29
 
2.8%
양 22
 
2.1%
속 20
 
1.9%
상 19
 
1.8%
생 16
 
1.6%
Other values (45) 219
21.3%
Decimal Number
ValueCountFrequency (%)
2 779
40.4%
0 378
19.6%
4 241
 
12.5%
1 206
 
10.7%
3 173
 
9.0%
7 34
 
1.8%
6 34
 
1.8%
9 29
 
1.5%
5 28
 
1.5%
8 24
 
1.2%
Other Punctuation
ValueCountFrequency (%)
. 338
100.0%
Space Separator
ValueCountFrequency (%)
236
100.0%
Math Symbol
ValueCountFrequency (%)
~ 72
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 49
100.0%
Close Punctuation
ValueCountFrequency (%)
) 4
100.0%
Open Punctuation
ValueCountFrequency (%)
( 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 2629
71.9%
Hangul 1028
 
28.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
월 271
26.4%
분 254
24.7%
년 84
 
8.2%
지 51
 
5.0%
급 43
 
4.2%
도 29
 
2.8%
양 22
 
2.1%
속 20
 
1.9%
상 19
 
1.8%
생 16
 
1.6%
Other values (45) 219
21.3%
Common
ValueCountFrequency (%)
2 779
29.6%
0 378
14.4%
. 338
12.9%
4 241
 
9.2%
236
 
9.0%
1 206
 
7.8%
3 173
 
6.6%
~ 72
 
2.7%
- 49
 
1.9%
7 34
 
1.3%
Other values (6) 123
 
4.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2629
71.9%
Hangul 1013
 
27.7%
Compat Jamo 15
 
0.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 779
29.6%
0 378
14.4%
. 338
12.9%
4 241
 
9.2%
236
 
9.0%
1 206
 
7.8%
3 173
 
6.6%
~ 72
 
2.7%
- 49
 
1.9%
7 34
 
1.3%
Other values (6) 123
 
4.7%
Hangul
ValueCountFrequency (%)
월 271
26.8%
분 254
25.1%
년 84
 
8.3%
지 51
 
5.0%
급 43
 
4.2%
도 29
 
2.9%
양 22
 
2.2%
속 20
 
2.0%
상 19
 
1.9%
생 16
 
1.6%
Other values (44) 204
20.1%
Compat Jamo
ValueCountFrequency (%)
ㆍ 15
100.0%

세무일정
Date

Distinct44
Distinct (%)15.4%
Missing0
Missing (%)0.0%
Memory size2.4 KiB
Minimum2024-01-02 00:00:00
Maximum2025-01-31 00:00:00
2024-03-15T06:25:38.652793image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T06:25:39.019527image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=44)

Interactions

2024-03-15T06:25:32.031897image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-03-15T06:25:39.276813image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순번세무일정
순번1.0000.986
세무일정0.9861.000

Missing values

2024-03-15T06:25:32.291250image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-15T06:25:32.454433image/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

순번세무내용비고세무일정
01일용근로소득지급명세서 제출기한2023년 11월 지급분2024-01-02
12간이지급명세서(거주자의 사업소득) 제출기한2023년 11월 지급분2024-01-02
23용역제공자에 관한 과세자료 제출기한2023년 11월 소득 발생분2024-01-02
34원천세 반기별 납부 신청기한2024.상반기분2024-01-02
45개별소비세(석유류ㆍ담배) 교통ㆍ에너지ㆍ환경세 신고 납부2023.11월분2024-01-02
569월말 결산법인 법인세 신고 납부2022.10~2023.9월분2024-01-02
674월말 결산법인 법인세 중간예납2023.5~10월분2024-01-02
78양도소득세 예정신고 및 납부2023.10월 양도분2024-01-02
89원천세(반기납 포함) 신고 납부기한2023.12월분(2023.7~12월분)2024-01-10
910인지세 현금납부2023.12월 작성분2024-01-10
순번세무내용비고세무일정
2752761월말 결산법인 교육세(금융ㆍ보험)3차 중간예납2024.8.-10월분2024-12-31
2762777월말 결산법인 교육세(금융ㆍ보험)1차 중간예납2024.8.-10월분2024-12-31
277278상속세ㆍ증여세 신고 납부2024.9월 증여ㆍ2024.6월 상속2024-12-31
278279양도소득세 예정신고 및 납부2024.10월 양도분2024-12-31
2792802024.2기 부가가치세 확정신고 납부2024.10~12월분2025-01-27
280281일용근로소득지급명세서 제출기한2024년 12월 지급분2025-01-31
281282간이지급명세서(거주자의 사업소득) 제출기한2024년 12월 지급분2025-01-31
282283용역제공자에 관한 과세자료 제출기한2024년 12월 소득 발생분2025-01-31
283284간이지급명세서(거주자의 기타소득) 제출기한2024년 12월 지급분2025-01-31
284285간이지급명세서(근로소득) 제출기한2024년 7월~12월 지급분2025-01-31