Overview

Dataset statistics

Number of variables5
Number of observations36
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.6 KiB
Average record size in memory44.7 B

Variable types

Numeric1
Text2
Categorical2

Dataset

Description인천광역시 남동구 전자담배판매소 현황에 대한 데이터로 연번, 업체명, 업종, 주소지(도로명), 데이터기준일자 항목을 제공합니다.
Author인천광역시 남동구
URLhttps://www.data.go.kr/data/15091357/fileData.do

Alerts

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

Reproduction

Analysis started2023-12-12 19:10:05.821231
Analysis finished2023-12-12 19:10:06.432067
Duration0.61 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

UNIQUE 

Distinct36
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean18.916667
Minimum1
Maximum37
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size456.0 B
2023-12-13T04:10:06.522663image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2.75
Q19.75
median18.5
Q328.25
95-th percentile35.25
Maximum37
Range36
Interquartile range (IQR)18.5

Descriptive statistics

Standard deviation10.965856
Coefficient of variation (CV)0.57969283
Kurtosis-1.2468943
Mean18.916667
Median Absolute Deviation (MAD)9.5
Skewness0.023520147
Sum681
Variance120.25
MonotonicityStrictly increasing
2023-12-13T04:10:06.708416image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=36)
ValueCountFrequency (%)
1 1
 
2.8%
20 1
 
2.8%
23 1
 
2.8%
24 1
 
2.8%
25 1
 
2.8%
26 1
 
2.8%
27 1
 
2.8%
28 1
 
2.8%
29 1
 
2.8%
30 1
 
2.8%
Other values (26) 26
72.2%
ValueCountFrequency (%)
1 1
2.8%
2 1
2.8%
3 1
2.8%
4 1
2.8%
5 1
2.8%
6 1
2.8%
7 1
2.8%
8 1
2.8%
9 1
2.8%
10 1
2.8%
ValueCountFrequency (%)
37 1
2.8%
36 1
2.8%
35 1
2.8%
34 1
2.8%
33 1
2.8%
32 1
2.8%
31 1
2.8%
30 1
2.8%
29 1
2.8%
28 1
2.8%

업체명
Text

Distinct34
Distinct (%)94.4%
Missing0
Missing (%)0.0%
Memory size420.0 B
2023-12-13T04:10:07.014238image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length17
Median length13
Mean length10.5
Min length4

Characters and Unicode

Total characters378
Distinct characters91
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

Unique32 ?
Unique (%)88.9%

Sample

1st row스누스맨 남동구 구월동점
2nd row아이코스스토어 간석홈마트
3rd row아이다전자담배 인천구월점
4th rowNGT SHOP
5th row전자담배닷컴 인천직영점
ValueCountFrequency (%)
전자담배 5
 
7.4%
ngt 3
 
4.4%
뉴턴전자담배 3
 
4.4%
인천논현점 2
 
2.9%
하카전자담배 2
 
2.9%
인천구월점 2
 
2.9%
간석점 2
 
2.9%
홀릭전자담배 2
 
2.9%
인천직영점 2
 
2.9%
래빗전자담배 2
 
2.9%
Other values (41) 43
63.2%
2023-12-13T04:10:07.860152image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
32
 
8.5%
배 28
 
7.4%
담 28
 
7.4%
전 27
 
7.1%
자 27
 
7.1%
점 19
 
5.0%
인 14
 
3.7%
천 14
 
3.7%
구 11
 
2.9%
이 10
 
2.6%
Other values (81) 168
44.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 326
86.2%
Space Separator 32
 
8.5%
Uppercase Letter 16
 
4.2%
Decimal Number 3
 
0.8%
Other Punctuation 1
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
배 28
 
8.6%
담 28
 
8.6%
전 27
 
8.3%
자 27
 
8.3%
점 19
 
5.8%
인 14
 
4.3%
천 14
 
4.3%
구 11
 
3.4%
이 10
 
3.1%
월 8
 
2.5%
Other values (69) 140
42.9%
Uppercase Letter
ValueCountFrequency (%)
T 4
25.0%
G 3
18.8%
N 3
18.8%
P 2
12.5%
O 2
12.5%
S 1
 
6.2%
H 1
 
6.2%
Decimal Number
ValueCountFrequency (%)
3 1
33.3%
6 1
33.3%
5 1
33.3%
Space Separator
ValueCountFrequency (%)
32
100.0%
Other Punctuation
ValueCountFrequency (%)
& 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 326
86.2%
Common 36
 
9.5%
Latin 16
 
4.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
배 28
 
8.6%
담 28
 
8.6%
전 27
 
8.3%
자 27
 
8.3%
점 19
 
5.8%
인 14
 
4.3%
천 14
 
4.3%
구 11
 
3.4%
이 10
 
3.1%
월 8
 
2.5%
Other values (69) 140
42.9%
Latin
ValueCountFrequency (%)
T 4
25.0%
G 3
18.8%
N 3
18.8%
P 2
12.5%
O 2
12.5%
S 1
 
6.2%
H 1
 
6.2%
Common
ValueCountFrequency (%)
32
88.9%
3 1
 
2.8%
6 1
 
2.8%
5 1
 
2.8%
& 1
 
2.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 326
86.2%
ASCII 52
 
13.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
32
61.5%
T 4
 
7.7%
G 3
 
5.8%
N 3
 
5.8%
P 2
 
3.8%
O 2
 
3.8%
3 1
 
1.9%
6 1
 
1.9%
5 1
 
1.9%
& 1
 
1.9%
Other values (2) 2
 
3.8%
Hangul
ValueCountFrequency (%)
배 28
 
8.6%
담 28
 
8.6%
전 27
 
8.3%
자 27
 
8.3%
점 19
 
5.8%
인 14
 
4.3%
천 14
 
4.3%
구 11
 
3.4%
이 10
 
3.1%
월 8
 
2.5%
Other values (69) 140
42.9%

업종
Categorical

CONSTANT 

Distinct1
Distinct (%)2.8%
Missing0
Missing (%)0.0%
Memory size420.0 B
전자담배판매업
36 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
전자담배판매업 36
100.0%

Length

2023-12-13T04:10:08.021016image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T04:10:08.151854image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
전자담배판매업 36
100.0%

주소지(도로명)
Text

Distinct35
Distinct (%)97.2%
Missing0
Missing (%)0.0%
Memory size420.0 B
2023-12-13T04:10:08.454582image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length45
Median length30.5
Mean length23.722222
Min length14

Characters and Unicode

Total characters854
Distinct characters115
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

Unique34 ?
Unique (%)94.4%

Sample

1st row인천 남동구 호구포로 780
2nd row인천 남동구 남동대로915번길 3
3rd row인천 남동구 인주대로604번길 83
4th row인천 남동구 선수촌공원로 1 구월테크노밸리 D동 805호
5th row인천 남동구 구월로 326-1
ValueCountFrequency (%)
인천 36
 
17.7%
남동구 36
 
17.7%
구월로 6
 
3.0%
1층 6
 
3.0%
103호 3
 
1.5%
101호 3
 
1.5%
구월남로 3
 
1.5%
호구포로 2
 
1.0%
355 2
 
1.0%
108호 2
 
1.0%
Other values (96) 104
51.2%
2023-12-13T04:10:09.024807image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
167
19.6%
1 56
 
6.6%
구 50
 
5.9%
동 47
 
5.5%
남 45
 
5.3%
인 37
 
4.3%
로 36
 
4.2%
천 36
 
4.2%
0 30
 
3.5%
호 24
 
2.8%
Other values (105) 326
38.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 478
56.0%
Decimal Number 198
23.2%
Space Separator 167
 
19.6%
Uppercase Letter 7
 
0.8%
Dash Punctuation 4
 
0.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 50
 
10.5%
동 47
 
9.8%
남 45
 
9.4%
인 37
 
7.7%
로 36
 
7.5%
천 36
 
7.5%
호 24
 
5.0%
월 11
 
2.3%
층 8
 
1.7%
길 7
 
1.5%
Other values (87) 177
37.0%
Decimal Number
ValueCountFrequency (%)
1 56
28.3%
0 30
15.2%
2 23
11.6%
3 17
 
8.6%
5 17
 
8.6%
7 16
 
8.1%
6 15
 
7.6%
9 9
 
4.5%
8 8
 
4.0%
4 7
 
3.5%
Uppercase Letter
ValueCountFrequency (%)
A 2
28.6%
V 1
14.3%
F 1
14.3%
G 1
14.3%
C 1
14.3%
D 1
14.3%
Space Separator
ValueCountFrequency (%)
167
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 478
56.0%
Common 369
43.2%
Latin 7
 
0.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 50
 
10.5%
동 47
 
9.8%
남 45
 
9.4%
인 37
 
7.7%
로 36
 
7.5%
천 36
 
7.5%
호 24
 
5.0%
월 11
 
2.3%
층 8
 
1.7%
길 7
 
1.5%
Other values (87) 177
37.0%
Common
ValueCountFrequency (%)
167
45.3%
1 56
 
15.2%
0 30
 
8.1%
2 23
 
6.2%
3 17
 
4.6%
5 17
 
4.6%
7 16
 
4.3%
6 15
 
4.1%
9 9
 
2.4%
8 8
 
2.2%
Other values (2) 11
 
3.0%
Latin
ValueCountFrequency (%)
A 2
28.6%
V 1
14.3%
F 1
14.3%
G 1
14.3%
C 1
14.3%
D 1
14.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 478
56.0%
ASCII 376
44.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
167
44.4%
1 56
 
14.9%
0 30
 
8.0%
2 23
 
6.1%
3 17
 
4.5%
5 17
 
4.5%
7 16
 
4.3%
6 15
 
4.0%
9 9
 
2.4%
8 8
 
2.1%
Other values (8) 18
 
4.8%
Hangul
ValueCountFrequency (%)
구 50
 
10.5%
동 47
 
9.8%
남 45
 
9.4%
인 37
 
7.7%
로 36
 
7.5%
천 36
 
7.5%
호 24
 
5.0%
월 11
 
2.3%
층 8
 
1.7%
길 7
 
1.5%
Other values (87) 177
37.0%

데이터기준일자
Categorical

CONSTANT 

Distinct1
Distinct (%)2.8%
Missing0
Missing (%)0.0%
Memory size420.0 B
2023-09-11
36 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2023-09-11
2nd row2023-09-11
3rd row2023-09-11
4th row2023-09-11
5th row2023-09-11

Common Values

ValueCountFrequency (%)
2023-09-11 36
100.0%

Length

2023-12-13T04:10:09.215080image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T04:10:09.353768image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2023-09-11 36
100.0%

Interactions

2023-12-13T04:10:06.077106image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-13T04:10:09.446252image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번업체명주소지(도로명)
연번1.0000.8290.926
업체명0.8291.0001.000
주소지(도로명)0.9261.0001.000

Missing values

2023-12-13T04:10:06.249745image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T04:10:06.386244image/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

연번업체명업종주소지(도로명)데이터기준일자
01스누스맨 남동구 구월동점전자담배판매업인천 남동구 호구포로 7802023-09-11
12아이코스스토어 간석홈마트전자담배판매업인천 남동구 남동대로915번길 32023-09-11
23아이다전자담배 인천구월점전자담배판매업인천 남동구 인주대로604번길 832023-09-11
34NGT SHOP전자담배판매업인천 남동구 선수촌공원로 1 구월테크노밸리 D동 805호2023-09-11
45전자담배닷컴 인천직영점전자담배판매업인천 남동구 구월로 326-12023-09-11
56킨베이프전자담배판매업인천 남동구 구월로 192 1401동 1706호2023-09-11
67케이전자담배전자담배판매업인천 남동구 구월로 273 103호 케이전자담배2023-09-11
78오링전자담배전자담배판매업인천 남동구 선수촌공원로17번길 1 A동 109호 오링전자담배2023-09-11
89NGT 전자담배전자담배판매업인천 남동구 선수촌공원로 26 두플라스 1층 106호2023-09-11
910마샤 인천만수동점전자담배판매업인천 남동구 만수6동 1080-1092023-09-11
연번업체명업종주소지(도로명)데이터기준일자
2628전자담배 인천 논현동 호구포역점전자담배판매업인천 남동구 논현로 40 더클라스플라자 302호2023-09-11
2729뉴턴전자담배 구월직영점전자담배판매업인천 남동구 구월남로 174 그랜드프라자 1층 108호2023-09-11
2830만수동 만수르전자담배판매업인천 남동구 담방로 77-12023-09-11
2931365전자담배아울렛 인천논현점전자담배판매업인천 남동구 논고개로 872023-09-11
3032뉴턴전자담배 인천논현점전자담배판매업인천 남동구 논고개로123번길 17 아이플렉스 1F 126호2023-09-11
3133베이프렌드 전자담배 인천서창점전자담배판매업인천 남동구 서창남순환로 2232023-09-11
3234탑전자담배전자담배판매업인천 남동구 구월로 306 힐센트리움 107호2023-09-11
3335뉴턴전자담배 구월동로데오점전자담배판매업인천 남동구 예술로 126 링크126 2층 211호 뉴턴 전자담배 구월동 로데오점2023-09-11
3436하카전자담배 인천구월직영점전자담배판매업인천 남동구 구월남로 116 하늘지움2차 108호2023-09-11
3537전자담배멀티샵 인천구월점전자담배판매업인천 남동구 예술로 198 CGV 홈플러스 1층 55호2023-09-11