Overview

Dataset statistics

Number of variables6
Number of observations184
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory8.9 KiB
Average record size in memory49.7 B

Variable types

Numeric1
Text2
DateTime1
Categorical2

Dataset

Description경남 남해군 담배소매인지정 현황에 대한 데이터이며 업소명, 업소주소, 지정일자, 법인구분, 영엽구분 등의 현황 정보를 제공합니다.
URLhttps://www.data.go.kr/data/15035405/fileData.do

Alerts

영업구분 has constant value ""Constant
NO has unique valuesUnique

Reproduction

Analysis started2023-12-13 00:01:11.287454
Analysis finished2023-12-13 00:01:11.771063
Duration0.48 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

NO
Real number (ℝ)

UNIQUE 

Distinct184
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean92.5
Minimum1
Maximum184
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.7 KiB
2023-12-13T09:01:11.827720image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile10.15
Q146.75
median92.5
Q3138.25
95-th percentile174.85
Maximum184
Range183
Interquartile range (IQR)91.5

Descriptive statistics

Standard deviation53.260367
Coefficient of variation (CV)0.57578775
Kurtosis-1.2
Mean92.5
Median Absolute Deviation (MAD)46
Skewness0
Sum17020
Variance2836.6667
MonotonicityStrictly increasing
2023-12-13T09:01:12.211811image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.5%
128 1
 
0.5%
119 1
 
0.5%
120 1
 
0.5%
121 1
 
0.5%
122 1
 
0.5%
123 1
 
0.5%
124 1
 
0.5%
125 1
 
0.5%
126 1
 
0.5%
Other values (174) 174
94.6%
ValueCountFrequency (%)
1 1
0.5%
2 1
0.5%
3 1
0.5%
4 1
0.5%
5 1
0.5%
6 1
0.5%
7 1
0.5%
8 1
0.5%
9 1
0.5%
10 1
0.5%
ValueCountFrequency (%)
184 1
0.5%
183 1
0.5%
182 1
0.5%
181 1
0.5%
180 1
0.5%
179 1
0.5%
178 1
0.5%
177 1
0.5%
176 1
0.5%
175 1
0.5%

업소명
Text

Distinct182
Distinct (%)98.9%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
2023-12-13T09:01:12.426730image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length19
Median length15
Mean length7.8586957
Min length2

Characters and Unicode

Total characters1446
Distinct characters263
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique181 ?
Unique (%)98.4%

Sample

1st row지에스(GS)25 남해송정점
2nd row세븐일레븐 남해아난티점
3rd row씨유남해남면점
4th row두모구판장
5th row씨유 남해 수정점
ValueCountFrequency (%)
씨유 16
 
6.4%
세븐일레븐 11
 
4.4%
남해점 5
 
2.0%
gs25 4
 
1.6%
이마트24 4
 
1.6%
남해독일마을점 4
 
1.6%
지에스25 4
 
1.6%
상호없음 3
 
1.2%
지에스(gs)25 3
 
1.2%
새남해농협 2
 
0.8%
Other values (189) 195
77.7%
2023-12-13T09:01:12.742192image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
남 94
 
6.5%
해 88
 
6.1%
점 84
 
5.8%
67
 
4.6%
마 43
 
3.0%
동 30
 
2.1%
트 29
 
2.0%
2 27
 
1.9%
유 26
 
1.8%
븐 23
 
1.6%
Other values (253) 935
64.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1255
86.8%
Space Separator 67
 
4.6%
Decimal Number 63
 
4.4%
Uppercase Letter 35
 
2.4%
Open Punctuation 9
 
0.6%
Close Punctuation 9
 
0.6%
Lowercase Letter 3
 
0.2%
Dash Punctuation 2
 
0.1%
Other Punctuation 2
 
0.1%
Math Symbol 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
남 94
 
7.5%
해 88
 
7.0%
점 84
 
6.7%
마 43
 
3.4%
동 30
 
2.4%
트 29
 
2.3%
유 26
 
2.1%
븐 23
 
1.8%
상 22
 
1.8%
지 20
 
1.6%
Other values (231) 796
63.4%
Uppercase Letter
ValueCountFrequency (%)
S 14
40.0%
G 13
37.1%
A 2
 
5.7%
R 2
 
5.7%
L 1
 
2.9%
U 1
 
2.9%
C 1
 
2.9%
P 1
 
2.9%
Decimal Number
ValueCountFrequency (%)
2 27
42.9%
5 20
31.7%
4 8
 
12.7%
1 5
 
7.9%
8 3
 
4.8%
Lowercase Letter
ValueCountFrequency (%)
s 1
33.3%
u 1
33.3%
l 1
33.3%
Space Separator
ValueCountFrequency (%)
67
100.0%
Open Punctuation
ValueCountFrequency (%)
( 9
100.0%
Close Punctuation
ValueCountFrequency (%)
) 9
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%
Other Punctuation
ValueCountFrequency (%)
. 2
100.0%
Math Symbol
ValueCountFrequency (%)
+ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1255
86.8%
Common 153
 
10.6%
Latin 38
 
2.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
남 94
 
7.5%
해 88
 
7.0%
점 84
 
6.7%
마 43
 
3.4%
동 30
 
2.4%
트 29
 
2.3%
유 26
 
2.1%
븐 23
 
1.8%
상 22
 
1.8%
지 20
 
1.6%
Other values (231) 796
63.4%
Common
ValueCountFrequency (%)
67
43.8%
2 27
17.6%
5 20
 
13.1%
( 9
 
5.9%
) 9
 
5.9%
4 8
 
5.2%
1 5
 
3.3%
8 3
 
2.0%
- 2
 
1.3%
. 2
 
1.3%
Latin
ValueCountFrequency (%)
S 14
36.8%
G 13
34.2%
A 2
 
5.3%
R 2
 
5.3%
L 1
 
2.6%
U 1
 
2.6%
C 1
 
2.6%
s 1
 
2.6%
u 1
 
2.6%
l 1
 
2.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1255
86.8%
ASCII 191
 
13.2%

Most frequent character per block

Hangul
ValueCountFrequency (%)
남 94
 
7.5%
해 88
 
7.0%
점 84
 
6.7%
마 43
 
3.4%
동 30
 
2.4%
트 29
 
2.3%
유 26
 
2.1%
븐 23
 
1.8%
상 22
 
1.8%
지 20
 
1.6%
Other values (231) 796
63.4%
ASCII
ValueCountFrequency (%)
67
35.1%
2 27
14.1%
5 20
 
10.5%
S 14
 
7.3%
G 13
 
6.8%
( 9
 
4.7%
) 9
 
4.7%
4 8
 
4.2%
1 5
 
2.6%
8 3
 
1.6%
Other values (12) 16
 
8.4%

업소도로명주소
Text

Distinct182
Distinct (%)98.9%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
2023-12-13T09:01:13.047917image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length41
Median length34
Mean length23.103261
Min length18

Characters and Unicode

Total characters4251
Distinct characters131
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique180 ?
Unique (%)97.8%

Sample

1st row경상남도 남해군 미조면 동부대로 2
2nd row경상남도 남해군 남면 남서대로1179번길 59
3rd row경상남도 남해군 남면 남서대로 761
4th row경상남도 남해군 상주면 양아로540번길 25
5th row경상남도 남해군 남해읍 화전로 75-3
ValueCountFrequency (%)
경상남도 184
18.9%
남해군 184
18.9%
남해읍 46
 
4.7%
삼동면 23
 
2.4%
남면 21
 
2.2%
미조면 20
 
2.0%
남해대로 19
 
1.9%
동부대로 18
 
1.8%
이동면 17
 
1.7%
창선면 17
 
1.7%
Other values (266) 427
43.8%
2023-12-13T09:01:13.454172image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
803
18.9%
남 496
 
11.7%
해 259
 
6.1%
상 198
 
4.7%
도 187
 
4.4%
경 185
 
4.4%
군 184
 
4.3%
로 161
 
3.8%
면 148
 
3.5%
1 144
 
3.4%
Other values (121) 1486
35.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2674
62.9%
Space Separator 803
 
18.9%
Decimal Number 684
 
16.1%
Dash Punctuation 44
 
1.0%
Other Punctuation 24
 
0.6%
Close Punctuation 11
 
0.3%
Open Punctuation 11
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
남 496
18.5%
해 259
 
9.7%
상 198
 
7.4%
도 187
 
7.0%
경 185
 
6.9%
군 184
 
6.9%
로 161
 
6.0%
면 148
 
5.5%
동 71
 
2.7%
대 67
 
2.5%
Other values (106) 718
26.9%
Decimal Number
ValueCountFrequency (%)
1 144
21.1%
2 79
11.5%
7 69
10.1%
3 64
9.4%
9 58
8.5%
8 57
 
8.3%
6 55
 
8.0%
4 55
 
8.0%
5 52
 
7.6%
0 51
 
7.5%
Space Separator
ValueCountFrequency (%)
803
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 44
100.0%
Other Punctuation
ValueCountFrequency (%)
. 24
100.0%
Close Punctuation
ValueCountFrequency (%)
) 11
100.0%
Open Punctuation
ValueCountFrequency (%)
( 11
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2674
62.9%
Common 1577
37.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
남 496
18.5%
해 259
 
9.7%
상 198
 
7.4%
도 187
 
7.0%
경 185
 
6.9%
군 184
 
6.9%
로 161
 
6.0%
면 148
 
5.5%
동 71
 
2.7%
대 67
 
2.5%
Other values (106) 718
26.9%
Common
ValueCountFrequency (%)
803
50.9%
1 144
 
9.1%
2 79
 
5.0%
7 69
 
4.4%
3 64
 
4.1%
9 58
 
3.7%
8 57
 
3.6%
6 55
 
3.5%
4 55
 
3.5%
5 52
 
3.3%
Other values (5) 141
 
8.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2674
62.9%
ASCII 1577
37.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
803
50.9%
1 144
 
9.1%
2 79
 
5.0%
7 69
 
4.4%
3 64
 
4.1%
9 58
 
3.7%
8 57
 
3.6%
6 55
 
3.5%
4 55
 
3.5%
5 52
 
3.3%
Other values (5) 141
 
8.9%
Hangul
ValueCountFrequency (%)
남 496
18.5%
해 259
 
9.7%
상 198
 
7.4%
도 187
 
7.0%
경 185
 
6.9%
군 184
 
6.9%
로 161
 
6.0%
면 148
 
5.5%
동 71
 
2.7%
대 67
 
2.5%
Other values (106) 718
26.9%

지정일자
Date

Distinct165
Distinct (%)89.7%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
Minimum1963-07-01 00:00:00
Maximum2023-05-18 00:00:00
2023-12-13T09:01:13.562132image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T09:01:13.671268image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

법인구분
Categorical

Distinct2
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
개인
156 
법인
28 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
개인 156
84.8%
법인 28
 
15.2%

Length

2023-12-13T09:01:13.777015image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T09:01:13.857460image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
개인 156
84.8%
법인 28
 
15.2%

영업구분
Categorical

CONSTANT 

Distinct1
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
정상영업
184 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
정상영업 184
100.0%

Length

2023-12-13T09:01:13.939863image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T09:01:14.019506image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
정상영업 184
100.0%

Interactions

2023-12-13T09:01:11.524088image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-13T09:01:14.074152image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
NO법인구분
NO1.0000.547
법인구분0.5471.000
2023-12-13T09:01:14.184756image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
NO법인구분
NO1.0000.412
법인구분0.4121.000

Missing values

2023-12-13T09:01:11.627979image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T09:01:11.732221image/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

NO업소명업소도로명주소지정일자법인구분영업구분
01지에스(GS)25 남해송정점경상남도 남해군 미조면 동부대로 22023-05-18개인정상영업
12세븐일레븐 남해아난티점경상남도 남해군 남면 남서대로1179번길 592023-05-12개인정상영업
23씨유남해남면점경상남도 남해군 남면 남서대로 7612023-04-25개인정상영업
34두모구판장경상남도 남해군 상주면 양아로540번길 252023-04-13개인정상영업
45씨유 남해 수정점경상남도 남해군 남해읍 화전로 75-32023-02-08개인정상영업
56세븐일레븐 남해스타점. 디디커피경상남도 남해군 남해읍 망운로10번길 28. 1층 3호 (스타펠레스)2022-12-20개인정상영업
67눈냇골쉼터경상남도 남해군 설천면 설천로 6392022-12-13개인정상영업
78동정호경상남도 남해군 상주면 노도길 292022-11-30개인정상영업
89남해8일장경상남도 남해군 삼동면 동부대로 12542022-09-26개인정상영업
910세븐일레븐 남해미국마을점경상남도 남해군 이동면 남서대로 3062022-09-16개인정상영업
NO업소명업소도로명주소지정일자법인구분영업구분
174175원천슈퍼경상남도 남해군 이동면 남해대로 1539-31988-04-14개인정상영업
175176한려24편의점경상남도 남해군 남해읍 화전로 1191982-11-12개인정상영업
176177상호없음경상남도 남해군 설천면 설천로 2751982-02-22개인정상영업
177178석교슈퍼경상남도 남해군 남면 남면로 106. 담배가게1982-05-11개인정상영업
178179적량마을경상남도 남해군 창선면 진동리 989번지 1 호1981-11-13개인정상영업
179180싼마트경상남도 남해군 설천면 노량로195번길 31981-05-13개인정상영업
180181성남슈퍼경상남도 남해군 이동면 남서대로 1911981-12-08개인정상영업
181182삼성슈퍼경상남도 남해군 창선면 창선로 1061980-12-22개인정상영업
182183동부유류마트경상남도 남해군 창선면 흥선로 15021980-12-22개인정상영업
183184상호없음경상남도 남해군 창선면 서부로1058번길 291963-07-01개인정상영업