Overview

Dataset statistics

Number of variables7
Number of observations139
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory7.9 KiB
Average record size in memory57.9 B

Variable types

Numeric1
Text4
DateTime2

Dataset

Description인천광역시 옹진군 담배소매인 현황 내용 (연번, 소매인구분, 업소명, 소재지지번주소, 소재지도로명주소, 지정일자, 데이터기준일자)
URLhttps://www.data.go.kr/data/15021298/fileData.do

Alerts

데이터기준일자 has constant value ""Constant
연번 has unique valuesUnique
지정번호 has unique valuesUnique

Reproduction

Analysis started2023-12-12 06:50:23.747361
Analysis finished2023-12-12 06:50:24.427347
Duration0.68 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

UNIQUE 

Distinct139
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean70
Minimum1
Maximum139
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 KiB
2023-12-12T15:50:24.526693image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile7.9
Q135.5
median70
Q3104.5
95-th percentile132.1
Maximum139
Range138
Interquartile range (IQR)69

Descriptive statistics

Standard deviation40.269923
Coefficient of variation (CV)0.57528461
Kurtosis-1.2
Mean70
Median Absolute Deviation (MAD)35
Skewness0
Sum9730
Variance1621.6667
MonotonicityStrictly increasing
2023-12-12T15:50:24.716297image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.7%
97 1
 
0.7%
91 1
 
0.7%
92 1
 
0.7%
93 1
 
0.7%
94 1
 
0.7%
95 1
 
0.7%
96 1
 
0.7%
98 1
 
0.7%
89 1
 
0.7%
Other values (129) 129
92.8%
ValueCountFrequency (%)
1 1
0.7%
2 1
0.7%
3 1
0.7%
4 1
0.7%
5 1
0.7%
6 1
0.7%
7 1
0.7%
8 1
0.7%
9 1
0.7%
10 1
0.7%
ValueCountFrequency (%)
139 1
0.7%
138 1
0.7%
137 1
0.7%
136 1
0.7%
135 1
0.7%
134 1
0.7%
133 1
0.7%
132 1
0.7%
131 1
0.7%
130 1
0.7%

지정번호
Text

UNIQUE 

Distinct139
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
2023-12-12T15:50:25.021338image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length23
Median length23
Mean length23
Min length23

Characters and Unicode

Total characters3197
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

Unique139 ?
Unique (%)100.0%

Sample

1st row2023-3580148-05-6-00003
2nd row2023-3580148-05-6-00002
3rd row2023-3580148-05-6-00001
4th row2022-3580148-05-6-00003
5th row2022-3580148-05-6-00002
ValueCountFrequency (%)
2023-3580148-05-6-00003 1
 
0.7%
2005-3580007-05-6-00006 1
 
0.7%
2005-3580007-05-6-00022 1
 
0.7%
2006-3580007-05-6-00001 1
 
0.7%
2006-3580007-05-6-00002 1
 
0.7%
2006-3580007-05-6-00010 1
 
0.7%
2007-3580038-05-6-00008 1
 
0.7%
2007-3580038-05-6-00017 1
 
0.7%
2009-3580038-05-6-00009 1
 
0.7%
2015-3580038-05-6-00002 1
 
0.7%
Other values (129) 129
92.8%
2023-12-12T15:50:25.790212image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 1144
35.8%
- 556
17.4%
5 303
 
9.5%
3 237
 
7.4%
8 229
 
7.2%
2 223
 
7.0%
1 217
 
6.8%
6 183
 
5.7%
7 47
 
1.5%
4 32
 
1.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2641
82.6%
Dash Punctuation 556
 
17.4%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 1144
43.3%
5 303
 
11.5%
3 237
 
9.0%
8 229
 
8.7%
2 223
 
8.4%
1 217
 
8.2%
6 183
 
6.9%
7 47
 
1.8%
4 32
 
1.2%
9 26
 
1.0%
Dash Punctuation
ValueCountFrequency (%)
- 556
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 3197
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 1144
35.8%
- 556
17.4%
5 303
 
9.5%
3 237
 
7.4%
8 229
 
7.2%
2 223
 
7.0%
1 217
 
6.8%
6 183
 
5.7%
7 47
 
1.5%
4 32
 
1.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3197
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 1144
35.8%
- 556
17.4%
5 303
 
9.5%
3 237
 
7.4%
8 229
 
7.2%
2 223
 
7.0%
1 217
 
6.8%
6 183
 
5.7%
7 47
 
1.5%
4 32
 
1.0%

대표자명
Text

Distinct133
Distinct (%)95.7%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
2023-12-12T15:50:26.144563image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length19
Median length3
Mean length3.323741
Min length2

Characters and Unicode

Total characters462
Distinct characters143
Distinct categories5 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique130 ?
Unique (%)93.5%

Sample

1st row김은자
2nd row최경주
3rd row서양원
4th row단춘하
5th row최종열
ValueCountFrequency (%)
박창준 5
 
3.6%
유미경 2
 
1.4%
박금숙 2
 
1.4%
김준순 1
 
0.7%
김만섭 1
 
0.7%
김환대 1
 
0.7%
김유숙 1
 
0.7%
주)지에스리테일gs25n해병연봉점 1
 
0.7%
주)지에스리테일gs25n연평점 1
 
0.7%
이정애 1
 
0.7%
Other values (123) 123
88.5%
2023-12-12T15:50:26.643720image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
김 32
 
6.9%
이 19
 
4.1%
박 15
 
3.2%
순 13
 
2.8%
영 10
 
2.2%
정 10
 
2.2%
경 9
 
1.9%
희 8
 
1.7%
최 8
 
1.7%
강 8
 
1.7%
Other values (133) 330
71.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 438
94.8%
Uppercase Letter 16
 
3.5%
Decimal Number 4
 
0.9%
Close Punctuation 2
 
0.4%
Open Punctuation 2
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
김 32
 
7.3%
이 19
 
4.3%
박 15
 
3.4%
순 13
 
3.0%
영 10
 
2.3%
정 10
 
2.3%
경 9
 
2.1%
희 8
 
1.8%
최 8
 
1.8%
강 8
 
1.8%
Other values (120) 306
69.9%
Uppercase Letter
ValueCountFrequency (%)
N 5
31.2%
G 3
18.8%
S 2
 
12.5%
A 1
 
6.2%
F 1
 
6.2%
O 1
 
6.2%
D 1
 
6.2%
I 1
 
6.2%
J 1
 
6.2%
Decimal Number
ValueCountFrequency (%)
5 2
50.0%
2 2
50.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 438
94.8%
Latin 16
 
3.5%
Common 8
 
1.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
김 32
 
7.3%
이 19
 
4.3%
박 15
 
3.4%
순 13
 
3.0%
영 10
 
2.3%
정 10
 
2.3%
경 9
 
2.1%
희 8
 
1.8%
최 8
 
1.8%
강 8
 
1.8%
Other values (120) 306
69.9%
Latin
ValueCountFrequency (%)
N 5
31.2%
G 3
18.8%
S 2
 
12.5%
A 1
 
6.2%
F 1
 
6.2%
O 1
 
6.2%
D 1
 
6.2%
I 1
 
6.2%
J 1
 
6.2%
Common
ValueCountFrequency (%)
5 2
25.0%
) 2
25.0%
2 2
25.0%
( 2
25.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 438
94.8%
ASCII 24
 
5.2%

Most frequent character per block

Hangul
ValueCountFrequency (%)
김 32
 
7.3%
이 19
 
4.3%
박 15
 
3.4%
순 13
 
3.0%
영 10
 
2.3%
정 10
 
2.3%
경 9
 
2.1%
희 8
 
1.8%
최 8
 
1.8%
강 8
 
1.8%
Other values (120) 306
69.9%
ASCII
ValueCountFrequency (%)
N 5
20.8%
G 3
12.5%
S 2
 
8.3%
5 2
 
8.3%
) 2
 
8.3%
2 2
 
8.3%
( 2
 
8.3%
A 1
 
4.2%
F 1
 
4.2%
O 1
 
4.2%
Other values (3) 3
12.5%

업소명
Text

Distinct127
Distinct (%)91.4%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
2023-12-12T15:50:26.940536image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length19
Median length15
Mean length7.0935252
Min length2

Characters and Unicode

Total characters986
Distinct characters219
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique125 ?
Unique (%)89.9%

Sample

1st row이마트24 십리포 해수욕장점
2nd row세븐일레븐 인천영흥내리점
3rd row덕인슈퍼
4th row연평바다살리기영어조합법인
5th row소사나무매점
ValueCountFrequency (%)
데이터미집계 12
 
6.4%
씨유 8
 
4.3%
세븐일레븐 8
 
4.3%
인천옹진농업협동조합 5
 
2.7%
이마트24 5
 
2.7%
지에스(gs)25 3
 
1.6%
슈퍼 3
 
1.6%
gs25 2
 
1.1%
선재도점 2
 
1.1%
영흥도점 2
 
1.1%
Other values (134) 138
73.4%
2023-12-12T15:50:27.362976image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
49
 
5.0%
점 45
 
4.6%
슈 30
 
3.0%
퍼 30
 
3.0%
마 26
 
2.6%
이 25
 
2.5%
영 22
 
2.2%
트 21
 
2.1%
흥 19
 
1.9%
인 17
 
1.7%
Other values (209) 702
71.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 869
88.1%
Space Separator 49
 
5.0%
Decimal Number 28
 
2.8%
Uppercase Letter 25
 
2.5%
Close Punctuation 7
 
0.7%
Open Punctuation 7
 
0.7%
Other Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
점 45
 
5.2%
슈 30
 
3.5%
퍼 30
 
3.5%
마 26
 
3.0%
이 25
 
2.9%
영 22
 
2.5%
트 21
 
2.4%
흥 19
 
2.2%
인 17
 
2.0%
도 17
 
2.0%
Other values (194) 617
71.0%
Uppercase Letter
ValueCountFrequency (%)
G 9
36.0%
S 8
32.0%
N 2
 
8.0%
R 2
 
8.0%
U 1
 
4.0%
C 1
 
4.0%
A 1
 
4.0%
I 1
 
4.0%
Decimal Number
ValueCountFrequency (%)
2 15
53.6%
5 8
28.6%
4 5
 
17.9%
Space Separator
ValueCountFrequency (%)
49
100.0%
Close Punctuation
ValueCountFrequency (%)
) 7
100.0%
Open Punctuation
ValueCountFrequency (%)
( 7
100.0%
Other Punctuation
ValueCountFrequency (%)
& 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 869
88.1%
Common 92
 
9.3%
Latin 25
 
2.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
점 45
 
5.2%
슈 30
 
3.5%
퍼 30
 
3.5%
마 26
 
3.0%
이 25
 
2.9%
영 22
 
2.5%
트 21
 
2.4%
흥 19
 
2.2%
인 17
 
2.0%
도 17
 
2.0%
Other values (194) 617
71.0%
Latin
ValueCountFrequency (%)
G 9
36.0%
S 8
32.0%
N 2
 
8.0%
R 2
 
8.0%
U 1
 
4.0%
C 1
 
4.0%
A 1
 
4.0%
I 1
 
4.0%
Common
ValueCountFrequency (%)
49
53.3%
2 15
 
16.3%
5 8
 
8.7%
) 7
 
7.6%
( 7
 
7.6%
4 5
 
5.4%
& 1
 
1.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 868
88.0%
ASCII 117
 
11.9%
Compat Jamo 1
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
49
41.9%
2 15
 
12.8%
G 9
 
7.7%
5 8
 
6.8%
S 8
 
6.8%
) 7
 
6.0%
( 7
 
6.0%
4 5
 
4.3%
N 2
 
1.7%
R 2
 
1.7%
Other values (5) 5
 
4.3%
Hangul
ValueCountFrequency (%)
점 45
 
5.2%
슈 30
 
3.5%
퍼 30
 
3.5%
마 26
 
3.0%
이 25
 
2.9%
영 22
 
2.5%
트 21
 
2.4%
흥 19
 
2.2%
인 17
 
2.0%
도 17
 
2.0%
Other values (193) 616
71.0%
Compat Jamo
ValueCountFrequency (%)
ㆍ 1
100.0%

업소지번주소
Text

Distinct126
Distinct (%)90.6%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
2023-12-12T15:50:27.630044image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length38
Median length32
Mean length24.100719
Min length9

Characters and Unicode

Total characters3350
Distinct characters118
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

Unique125 ?
Unique (%)89.9%

Sample

1st row인천광역시 옹진군 영흥면 내리 724-137 대우부동산
2nd row인천광역시 옹진군 영흥면 내리 182-34
3rd row인천광역시 옹진군 덕적면 진리 6-1 부두수퍼
4th row인천광역시 옹진군 연평면 연평리 산 16-1 연평바다역매점
5th row인천광역시 옹진군 영흥면 내리 724-154 가동1
ValueCountFrequency (%)
인천광역시 139
18.7%
옹진군 139
18.7%
영흥면 63
 
8.5%
내리 33
 
4.4%
선재리 16
 
2.2%
자월면 15
 
2.0%
북도면 15
 
2.0%
백령면 13
 
1.7%
호 10
 
1.3%
외리 10
 
1.3%
Other values (198) 290
39.0%
2023-12-12T15:50:28.055767image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
702
21.0%
진 151
 
4.5%
시 142
 
4.2%
인 140
 
4.2%
역 140
 
4.2%
옹 140
 
4.2%
광 139
 
4.1%
군 139
 
4.1%
천 139
 
4.1%
면 125
 
3.7%
Other values (108) 1393
41.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2137
63.8%
Space Separator 702
 
21.0%
Decimal Number 483
 
14.4%
Dash Punctuation 27
 
0.8%
Other Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
진 151
 
7.1%
시 142
 
6.6%
인 140
 
6.6%
역 140
 
6.6%
옹 140
 
6.6%
광 139
 
6.5%
군 139
 
6.5%
천 139
 
6.5%
면 125
 
5.8%
리 117
 
5.5%
Other values (95) 765
35.8%
Decimal Number
ValueCountFrequency (%)
1 97
20.1%
2 68
14.1%
3 60
12.4%
6 47
9.7%
7 45
9.3%
5 42
8.7%
4 39
8.1%
8 36
 
7.5%
0 25
 
5.2%
9 24
 
5.0%
Space Separator
ValueCountFrequency (%)
702
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 27
100.0%
Other Punctuation
ValueCountFrequency (%)
/ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2137
63.8%
Common 1213
36.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
진 151
 
7.1%
시 142
 
6.6%
인 140
 
6.6%
역 140
 
6.6%
옹 140
 
6.6%
광 139
 
6.5%
군 139
 
6.5%
천 139
 
6.5%
면 125
 
5.8%
리 117
 
5.5%
Other values (95) 765
35.8%
Common
ValueCountFrequency (%)
702
57.9%
1 97
 
8.0%
2 68
 
5.6%
3 60
 
4.9%
6 47
 
3.9%
7 45
 
3.7%
5 42
 
3.5%
4 39
 
3.2%
8 36
 
3.0%
- 27
 
2.2%
Other values (3) 50
 
4.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2137
63.8%
ASCII 1213
36.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
702
57.9%
1 97
 
8.0%
2 68
 
5.6%
3 60
 
4.9%
6 47
 
3.9%
7 45
 
3.7%
5 42
 
3.5%
4 39
 
3.2%
8 36
 
3.0%
- 27
 
2.2%
Other values (3) 50
 
4.1%
Hangul
ValueCountFrequency (%)
진 151
 
7.1%
시 142
 
6.6%
인 140
 
6.6%
역 140
 
6.6%
옹 140
 
6.6%
광 139
 
6.5%
군 139
 
6.5%
천 139
 
6.5%
면 125
 
5.8%
리 117
 
5.5%
Other values (95) 765
35.8%

지정일자
Date

Distinct113
Distinct (%)81.3%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
Minimum1996-01-03 00:00:00
Maximum2023-06-21 00:00:00
2023-12-12T15:50:28.223232image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T15:50:28.412178image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

데이터기준일자
Date

CONSTANT 

Distinct1
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
Minimum2023-08-16 00:00:00
Maximum2023-08-16 00:00:00
2023-12-12T15:50:28.513852image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T15:50:28.612801image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Interactions

2023-12-12T15:50:24.086765image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Missing values

2023-12-12T15:50:24.233843image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T15:50:24.378940image/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

연번지정번호대표자명업소명업소지번주소지정일자데이터기준일자
012023-3580148-05-6-00003김은자이마트24 십리포 해수욕장점인천광역시 옹진군 영흥면 내리 724-137 대우부동산2023-06-212023-08-16
122023-3580148-05-6-00002최경주세븐일레븐 인천영흥내리점인천광역시 옹진군 영흥면 내리 182-342023-04-072023-08-16
232023-3580148-05-6-00001서양원덕인슈퍼인천광역시 옹진군 덕적면 진리 6-1 부두수퍼2023-01-182023-08-16
342022-3580148-05-6-00003단춘하연평바다살리기영어조합법인인천광역시 옹진군 연평면 연평리 산 16-1 연평바다역매점2022-12-152023-08-16
452022-3580148-05-6-00002최종열소사나무매점인천광역시 옹진군 영흥면 내리 724-154 가동12022-12-122023-08-16
562022-3580148-05-6-00001박용일세븐일레븐 선재도 목섬점인천광역시 옹진군 영흥면 선재리 108-32 세븐일레븐 선재도 목섬점2022-12-122023-08-16
672022-3580116-05-6-00002임다윤지에스(GS)25 영흥로점인천광역시 옹진군 영흥면 내리 270-22022-06-082023-08-16
782022-3580116-05-6-00001강송병겐버니 카페 편의점인천광역시 옹진군 자월면 이작리 5322022-04-262023-08-16
892021-3580116-05-6-00010김태우해림마트인천광역시 옹진군 영흥면 선재리 521-332021-10-292023-08-16
9102021-3580116-05-6-00008강창완GS25 영흥발전본부점인천광역시 옹진군 영흥면 외리 13442021-07-282023-08-16
연번지정번호대표자명업소명업소지번주소지정일자데이터기준일자
1291302000-3580021-05-6-00017송영호데이터미집계인천광역시 옹진군 덕적면 진리 45호1996-01-032023-08-16
1301312000-3580021-05-6-00015고봉덕데이터미집계인천광역시 옹진군 덕적면 백아리 산30호1996-01-032023-08-16
1311322000-3580020-05-6-00012심용화데이터미집계인천광역시 옹진군 대청면 대청리 793번지 1 호1996-01-032023-08-16
1321332000-3580020-05-6-00011이명산데이터미집계인천광역시 옹진군 대청면 대청리 1292호1996-01-032023-08-16
1331342000-3580020-05-6-00002김윤옥데이터미집계인천광역시 옹진군 대청면 대청리 383호1996-01-032023-08-16
1341352000-3580020-05-6-00001강금산데이터미집계인천광역시 옹진군 대청면 대청리 382호1996-01-032023-08-16
1351362000-3580019-05-6-00020한선여데이터미집계인천광역시 옹진군 백령면 진촌리 413-28호 용기포항 대합실내1996-01-032023-08-16
1361372000-3580019-05-6-00002김만섭진촌담배인천광역시 옹진군 백령면 진촌리 703번지1996-01-032023-08-16
1371382000-3580019-05-6-00001박충희GS25백령도점인천광역시 옹진군 백령면 진촌리 729번지 3 호1996-01-032023-08-16
1381392000-3580017-05-6-00013박창준인천옹진농업협동조합 시도지점인천광역시 옹진군 북도면 시도리 472번지 7호 옹진농협시도지점1996-01-032023-08-16