Overview

Dataset statistics

Number of variables3
Number of observations869
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory21.3 KiB
Average record size in memory25.2 B

Variable types

Numeric1
Text2

Dataset

Description인천광역시 미추홀구에서 정상 영업 중인 담배소매인 지정업소 데이터로 연번, 상호명, 도로명주소 등의 정보를 제공합니다.
Author인천광역시 미추홀구
URLhttps://data.incheon.go.kr/findData/publicDataDetail?dataId=15051599&srcSe=7661IVAWM27C61E190

Alerts

연번 has unique valuesUnique

Reproduction

Analysis started2024-01-28 14:19:49.166266
Analysis finished2024-01-28 14:19:49.725336
Duration0.56 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

UNIQUE 

Distinct869
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean435
Minimum1
Maximum869
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size7.8 KiB
2024-01-28T23:19:49.791159image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile44.4
Q1218
median435
Q3652
95-th percentile825.6
Maximum869
Range868
Interquartile range (IQR)434

Descriptive statistics

Standard deviation251.00299
Coefficient of variation (CV)0.57701836
Kurtosis-1.2
Mean435
Median Absolute Deviation (MAD)217
Skewness0
Sum378015
Variance63002.5
MonotonicityStrictly increasing
2024-01-28T23:19:49.910531image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.1%
585 1
 
0.1%
574 1
 
0.1%
575 1
 
0.1%
576 1
 
0.1%
577 1
 
0.1%
578 1
 
0.1%
579 1
 
0.1%
580 1
 
0.1%
581 1
 
0.1%
Other values (859) 859
98.8%
ValueCountFrequency (%)
1 1
0.1%
2 1
0.1%
3 1
0.1%
4 1
0.1%
5 1
0.1%
6 1
0.1%
7 1
0.1%
8 1
0.1%
9 1
0.1%
10 1
0.1%
ValueCountFrequency (%)
869 1
0.1%
868 1
0.1%
867 1
0.1%
866 1
0.1%
865 1
0.1%
864 1
0.1%
863 1
0.1%
862 1
0.1%
861 1
0.1%
860 1
0.1%

상호명
Text

Distinct845
Distinct (%)97.2%
Missing0
Missing (%)0.0%
Memory size6.9 KiB
2024-01-28T23:19:50.164046image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length24
Median length18
Mean length8.2336018
Min length2

Characters and Unicode

Total characters7155
Distinct characters431
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique824 ?
Unique (%)94.8%

Sample

1st row씨유 인하1호관점
2nd row로얄할인마트
3rd row지에스(GS)25 도화IC
4th row씨유 인천터미널역점
5th row씨유 숭의저스트점
ValueCountFrequency (%)
씨유 73
 
5.9%
세븐일레븐 59
 
4.8%
지에스25 36
 
2.9%
이마트24 32
 
2.6%
주)코리아세븐 24
 
1.9%
gs25 19
 
1.5%
지에스(gs)25 13
 
1.1%
전자담배 9
 
0.7%
주식회사 7
 
0.6%
홈마트 5
 
0.4%
Other values (878) 961
77.6%
2024-01-28T23:19:50.536084image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
점 419
 
5.9%
373
 
5.2%
마 246
 
3.4%
트 236
 
3.3%
주 217
 
3.0%
2 202
 
2.8%
스 173
 
2.4%
인 165
 
2.3%
안 157
 
2.2%
븐 154
 
2.2%
Other values (421) 4813
67.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 5949
83.1%
Decimal Number 429
 
6.0%
Space Separator 373
 
5.2%
Uppercase Letter 192
 
2.7%
Close Punctuation 87
 
1.2%
Open Punctuation 87
 
1.2%
Lowercase Letter 33
 
0.5%
Other Punctuation 4
 
0.1%
Dash Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
점 419
 
7.0%
마 246
 
4.1%
트 236
 
4.0%
주 217
 
3.6%
스 173
 
2.9%
인 165
 
2.8%
안 157
 
2.6%
븐 154
 
2.6%
유 136
 
2.3%
이 125
 
2.1%
Other values (373) 3921
65.9%
Uppercase Letter
ValueCountFrequency (%)
S 57
29.7%
G 53
27.6%
C 18
 
9.4%
U 15
 
7.8%
R 11
 
5.7%
O 7
 
3.6%
K 7
 
3.6%
D 5
 
2.6%
M 4
 
2.1%
J 3
 
1.6%
Other values (8) 12
 
6.2%
Lowercase Letter
ValueCountFrequency (%)
r 5
15.2%
a 4
12.1%
e 4
12.1%
i 4
12.1%
n 3
9.1%
t 3
9.1%
m 3
9.1%
k 2
 
6.1%
y 1
 
3.0%
l 1
 
3.0%
Other values (3) 3
9.1%
Decimal Number
ValueCountFrequency (%)
2 202
47.1%
5 132
30.8%
4 68
 
15.9%
1 12
 
2.8%
3 3
 
0.7%
6 3
 
0.7%
8 3
 
0.7%
9 3
 
0.7%
7 2
 
0.5%
0 1
 
0.2%
Other Punctuation
ValueCountFrequency (%)
. 2
50.0%
: 1
25.0%
& 1
25.0%
Space Separator
ValueCountFrequency (%)
373
100.0%
Close Punctuation
ValueCountFrequency (%)
) 87
100.0%
Open Punctuation
ValueCountFrequency (%)
( 87
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 5949
83.1%
Common 981
 
13.7%
Latin 225
 
3.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
점 419
 
7.0%
마 246
 
4.1%
트 236
 
4.0%
주 217
 
3.6%
스 173
 
2.9%
인 165
 
2.8%
안 157
 
2.6%
븐 154
 
2.6%
유 136
 
2.3%
이 125
 
2.1%
Other values (373) 3921
65.9%
Latin
ValueCountFrequency (%)
S 57
25.3%
G 53
23.6%
C 18
 
8.0%
U 15
 
6.7%
R 11
 
4.9%
O 7
 
3.1%
K 7
 
3.1%
D 5
 
2.2%
r 5
 
2.2%
M 4
 
1.8%
Other values (21) 43
19.1%
Common
ValueCountFrequency (%)
373
38.0%
2 202
20.6%
5 132
 
13.5%
) 87
 
8.9%
( 87
 
8.9%
4 68
 
6.9%
1 12
 
1.2%
3 3
 
0.3%
6 3
 
0.3%
8 3
 
0.3%
Other values (7) 11
 
1.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 5949
83.1%
ASCII 1206
 
16.9%

Most frequent character per block

Hangul
ValueCountFrequency (%)
점 419
 
7.0%
마 246
 
4.1%
트 236
 
4.0%
주 217
 
3.6%
스 173
 
2.9%
인 165
 
2.8%
안 157
 
2.6%
븐 154
 
2.6%
유 136
 
2.3%
이 125
 
2.1%
Other values (373) 3921
65.9%
ASCII
ValueCountFrequency (%)
373
30.9%
2 202
16.7%
5 132
 
10.9%
) 87
 
7.2%
( 87
 
7.2%
4 68
 
5.6%
S 57
 
4.7%
G 53
 
4.4%
C 18
 
1.5%
U 15
 
1.2%
Other values (38) 114
 
9.5%

도로명주소
Text

Distinct865
Distinct (%)99.5%
Missing0
Missing (%)0.0%
Memory size6.9 KiB
2024-01-28T23:19:50.797315image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length68
Median length57
Mean length32.416571
Min length1

Characters and Unicode

Total characters28170
Distinct characters307
Distinct categories11 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique864 ?
Unique (%)99.4%

Sample

1st row인천광역시 미추홀구 인하로 100. 1호관 1층 (용현동)
2nd row인천광역시 미추홀구 소성로294번길 17-32. 로얄캐슬 101동 비101호 (문학동)
3rd row인천광역시 미추홀구 경인로268번길 4. 101호 (도화동. 해든빌)
4th row인천광역시 미추홀구 예술로 지하 85. B1층 (관교동)
5th row인천광역시 미추홀구 석정로 21. 107호 (숭의동)
ValueCountFrequency (%)
인천광역시 864
 
16.3%
미추홀구 864
 
16.3%
주안동 323
 
6.1%
1층 310
 
5.9%
용현동 168
 
3.2%
도화동 111
 
2.1%
숭의동 102
 
1.9%
학익동 64
 
1.2%
101호 49
 
0.9%
경인로 42
 
0.8%
Other values (1113) 2399
45.3%
2024-01-28T23:19:51.203749image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
4582
 
16.3%
1 1344
 
4.8%
인 1106
 
3.9%
동 952
 
3.4%
홀 945
 
3.4%
미 934
 
3.3%
추 925
 
3.3%
천 897
 
3.2%
역 877
 
3.1%
시 877
 
3.1%
Other values (297) 14731
52.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 16428
58.3%
Space Separator 4582
 
16.3%
Decimal Number 4490
 
15.9%
Open Punctuation 859
 
3.0%
Close Punctuation 857
 
3.0%
Other Punctuation 744
 
2.6%
Dash Punctuation 136
 
0.5%
Uppercase Letter 55
 
0.2%
Lowercase Letter 16
 
0.1%
Math Symbol 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
인 1106
 
6.7%
동 952
 
5.8%
홀 945
 
5.8%
미 934
 
5.7%
추 925
 
5.6%
천 897
 
5.5%
역 877
 
5.3%
시 877
 
5.3%
구 872
 
5.3%
광 870
 
5.3%
Other values (266) 7173
43.7%
Decimal Number
ValueCountFrequency (%)
1 1344
29.9%
2 522
 
11.6%
3 498
 
11.1%
0 464
 
10.3%
4 375
 
8.4%
5 337
 
7.5%
6 275
 
6.1%
8 258
 
5.7%
7 215
 
4.8%
9 202
 
4.5%
Uppercase Letter
ValueCountFrequency (%)
B 11
20.0%
S 10
18.2%
K 6
10.9%
V 5
9.1%
I 5
9.1%
E 5
9.1%
W 5
9.1%
A 4
 
7.3%
C 3
 
5.5%
T 1
 
1.8%
Lowercase Letter
ValueCountFrequency (%)
k 5
31.2%
e 5
31.2%
y 5
31.2%
h 1
 
6.2%
Space Separator
ValueCountFrequency (%)
4582
100.0%
Open Punctuation
ValueCountFrequency (%)
( 859
100.0%
Close Punctuation
ValueCountFrequency (%)
) 857
100.0%
Other Punctuation
ValueCountFrequency (%)
. 744
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 136
100.0%
Math Symbol
ValueCountFrequency (%)
~ 2
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 16429
58.3%
Common 11670
41.4%
Latin 71
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
인 1106
 
6.7%
동 952
 
5.8%
홀 945
 
5.8%
미 934
 
5.7%
추 925
 
5.6%
천 897
 
5.5%
역 877
 
5.3%
시 877
 
5.3%
구 872
 
5.3%
광 870
 
5.3%
Other values (267) 7174
43.7%
Common
ValueCountFrequency (%)
4582
39.3%
1 1344
 
11.5%
( 859
 
7.4%
) 857
 
7.3%
. 744
 
6.4%
2 522
 
4.5%
3 498
 
4.3%
0 464
 
4.0%
4 375
 
3.2%
5 337
 
2.9%
Other values (6) 1088
 
9.3%
Latin
ValueCountFrequency (%)
B 11
15.5%
S 10
14.1%
K 6
8.5%
k 5
7.0%
V 5
7.0%
e 5
7.0%
I 5
7.0%
E 5
7.0%
W 5
7.0%
y 5
7.0%
Other values (4) 9
12.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 16428
58.3%
ASCII 11741
41.7%
None 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
4582
39.0%
1 1344
 
11.4%
( 859
 
7.3%
) 857
 
7.3%
. 744
 
6.3%
2 522
 
4.4%
3 498
 
4.2%
0 464
 
4.0%
4 375
 
3.2%
5 337
 
2.9%
Other values (20) 1159
 
9.9%
Hangul
ValueCountFrequency (%)
인 1106
 
6.7%
동 952
 
5.8%
홀 945
 
5.8%
미 934
 
5.7%
추 925
 
5.6%
천 897
 
5.5%
역 877
 
5.3%
시 877
 
5.3%
구 872
 
5.3%
광 870
 
5.3%
Other values (266) 7173
43.7%
None
ValueCountFrequency (%)
㈜ 1
100.0%

Interactions

2024-01-28T23:19:49.543225image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Missing values

2024-01-28T23:19:49.633311image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-01-28T23:19:49.698269image/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

연번상호명도로명주소
01씨유 인하1호관점인천광역시 미추홀구 인하로 100. 1호관 1층 (용현동)
12로얄할인마트인천광역시 미추홀구 소성로294번길 17-32. 로얄캐슬 101동 비101호 (문학동)
23지에스(GS)25 도화IC인천광역시 미추홀구 경인로268번길 4. 101호 (도화동. 해든빌)
34씨유 인천터미널역점인천광역시 미추홀구 예술로 지하 85. B1층 (관교동)
45씨유 숭의저스트점인천광역시 미추홀구 석정로 21. 107호 (숭의동)
56지에스25 주안자이점인천광역시 미추홀구 인하로222번길 34. 109.110.111호 (주안동)
67별난할인마켓주안점인천광역시 미추홀구 경인로438번길 11. 1층 (주안동)
78쎄븐일레븐 주안석바위점인천광역시 미추홀구 경인로435번길 35. 변호사황세현사무소 1층 (주안동)
89지에스25 학익트루엘점인천광역시 미추홀구 학익소로9번길 24. 108호.109호 (학익동. 미추홀트루엘파크)
910지에스25용현에스케이뷰인천광역시 미추홀구 용정공원로 33. A-4동 107호 (용현동. 인천 SK Sky VIEW)
연번상호명도로명주소
859860인천문구교복인천광역시 미추홀구 한나루로 551 (주안동)
860861주안식품인천광역시 미추홀구 경인로 329-1 (주안동)
861862경북슈퍼인천광역시 미추홀구 염전로128번길 38 (도화동. 신창연립)
862863수봉상회인천광역시 미추홀구 석정로 283. 1층 (도화동)
863864가정슈퍼인천광역시 미추홀구 숙골로43번길 158-19 (도화동)
864865그린마트인천광역시 미추홀구 숙골로8번길 40-4 (도화동)
865866백조문구인천광역시 미추홀구 매소홀로 473 (학익동)
866867승일지업사인천광역시 미추홀구 인주대로174번길 25 (용현동)
867868마마트 인하점인천광역시 미추홀구 인하로147번길 16 (용현동)
868869남포상회인천광역시 미추홀구 인주대로11번길 35 (숭의동)