Overview

Dataset statistics

Number of variables4
Number of observations1392
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory43.6 KiB
Average record size in memory32.1 B

Variable types

Categorical1
Text3

Dataset

Description인천광역시 연수구의 공중위생업소 현황의 데이터로서 숙박업 미용업 등의 (업소명, 도로명 주소, 전화번호)의 항목을 제공함
Author인천광역시 연수구
URLhttps://data.incheon.go.kr/findData/publicDataDetail?dataId=15086985&srcSe=7661IVAWM27C61E190

Reproduction

Analysis started2024-04-14 03:10:18.934020
Analysis finished2024-04-14 03:10:19.432563
Duration0.5 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

업종명
Categorical

Distinct22
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Memory size11.0 KiB
일반미용업
450 
피부미용업
164 
미용업
140 
세탁업
127 
네일미용업
90 
Other values (17)
421 

Length

Max length23
Median length5
Mean length5.9288793
Min length3

Unique

Unique1 ?
Unique (%)0.1%

Sample

1st row숙박업(일반)
2nd row숙박업(일반)
3rd row숙박업(일반)
4th row숙박업(일반)
5th row숙박업(일반)

Common Values

ValueCountFrequency (%)
일반미용업 450
32.3%
피부미용업 164
 
11.8%
미용업 140
 
10.1%
세탁업 127
 
9.1%
네일미용업 90
 
6.5%
숙박업(일반) 64
 
4.6%
이용업 64
 
4.6%
건물위생관리업 51
 
3.7%
종합미용업 42
 
3.0%
네일미용업, 화장ㆍ분장 미용업 33
 
2.4%
Other values (12) 167
 
12.0%

Length

2024-04-14T12:10:19.499870image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
일반미용업 496
29.3%
미용업 266
15.7%
피부미용업 243
14.4%
네일미용업 183
 
10.8%
세탁업 127
 
7.5%
화장ㆍ분장 126
 
7.4%
숙박업(일반 64
 
3.8%
이용업 64
 
3.8%
건물위생관리업 51
 
3.0%
종합미용업 42
 
2.5%
Other values (2) 31
 
1.8%

업소명
Text

Distinct1349
Distinct (%)96.9%
Missing0
Missing (%)0.0%
Memory size11.0 KiB
2024-04-14T12:10:19.766791image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length44
Median length30
Mean length7.4813218
Min length1

Characters and Unicode

Total characters10414
Distinct characters595
Distinct categories11 ?
Distinct scripts4 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1311 ?
Unique (%)94.2%

Sample

1st row둥지모텔
2nd row삼미장여관
3rd row호텔뷰(VIEW)
4th row라마다송도호텔(주)
5th row여우비
ValueCountFrequency (%)
헤어 42
 
2.1%
미용실 30
 
1.5%
hair 24
 
1.2%
이발관 19
 
0.9%
송도점 17
 
0.8%
네일 16
 
0.8%
세탁 13
 
0.6%
더 12
 
0.6%
세탁소 10
 
0.5%
리안헤어 10
 
0.5%
Other values (1589) 1846
90.5%
2024-04-14T12:10:20.143264image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
647
 
6.2%
어 437
 
4.2%
헤 417
 
4.0%
스 243
 
2.3%
( 236
 
2.3%
이 236
 
2.3%
) 236
 
2.3%
리 153
 
1.5%
일 149
 
1.4%
네 142
 
1.4%
Other values (585) 7518
72.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 7579
72.8%
Lowercase Letter 822
 
7.9%
Uppercase Letter 719
 
6.9%
Space Separator 647
 
6.2%
Open Punctuation 236
 
2.3%
Close Punctuation 236
 
2.3%
Other Punctuation 88
 
0.8%
Decimal Number 76
 
0.7%
Dash Punctuation 5
 
< 0.1%
Connector Punctuation 4
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
어 437
 
5.8%
헤 417
 
5.5%
스 243
 
3.2%
이 236
 
3.1%
리 153
 
2.0%
일 149
 
2.0%
네 142
 
1.9%
미 129
 
1.7%
세 117
 
1.5%
아 111
 
1.5%
Other values (507) 5445
71.8%
Uppercase Letter
ValueCountFrequency (%)
A 73
 
10.2%
N 57
 
7.9%
L 53
 
7.4%
E 53
 
7.4%
O 53
 
7.4%
I 50
 
7.0%
H 44
 
6.1%
B 40
 
5.6%
S 37
 
5.1%
M 36
 
5.0%
Other values (16) 223
31.0%
Lowercase Letter
ValueCountFrequency (%)
a 115
14.0%
e 95
11.6%
i 77
9.4%
o 71
8.6%
l 68
 
8.3%
n 64
 
7.8%
r 56
 
6.8%
s 36
 
4.4%
h 34
 
4.1%
u 30
 
3.6%
Other values (14) 176
21.4%
Other Punctuation
ValueCountFrequency (%)
. 23
26.1%
& 15
17.0%
# 14
15.9%
, 13
14.8%
' 9
 
10.2%
: 7
 
8.0%
＃ 2
 
2.3%
/ 2
 
2.3%
： 1
 
1.1%
; 1
 
1.1%
Decimal Number
ValueCountFrequency (%)
2 20
26.3%
1 15
19.7%
3 11
14.5%
5 7
 
9.2%
6 6
 
7.9%
4 6
 
7.9%
0 5
 
6.6%
9 3
 
3.9%
8 2
 
2.6%
7 1
 
1.3%
Math Symbol
ValueCountFrequency (%)
+ 1
50.0%
~ 1
50.0%
Space Separator
ValueCountFrequency (%)
647
100.0%
Open Punctuation
ValueCountFrequency (%)
( 236
100.0%
Close Punctuation
ValueCountFrequency (%)
) 236
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 5
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 7576
72.7%
Latin 1541
 
14.8%
Common 1294
 
12.4%
Han 3
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
어 437
 
5.8%
헤 417
 
5.5%
스 243
 
3.2%
이 236
 
3.1%
리 153
 
2.0%
일 149
 
2.0%
네 142
 
1.9%
미 129
 
1.7%
세 117
 
1.5%
아 111
 
1.5%
Other values (504) 5442
71.8%
Latin
ValueCountFrequency (%)
a 115
 
7.5%
e 95
 
6.2%
i 77
 
5.0%
A 73
 
4.7%
o 71
 
4.6%
l 68
 
4.4%
n 64
 
4.2%
N 57
 
3.7%
r 56
 
3.6%
L 53
 
3.4%
Other values (40) 812
52.7%
Common
ValueCountFrequency (%)
647
50.0%
( 236
 
18.2%
) 236
 
18.2%
. 23
 
1.8%
2 20
 
1.5%
1 15
 
1.2%
& 15
 
1.2%
# 14
 
1.1%
, 13
 
1.0%
3 11
 
0.9%
Other values (18) 64
 
4.9%
Han
ValueCountFrequency (%)
美 1
33.3%
休 1
33.3%
秀 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 7576
72.7%
ASCII 2831
 
27.2%
None 4
 
< 0.1%
CJK 3
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
647
22.9%
( 236
 
8.3%
) 236
 
8.3%
a 115
 
4.1%
e 95
 
3.4%
i 77
 
2.7%
A 73
 
2.6%
o 71
 
2.5%
l 68
 
2.4%
n 64
 
2.3%
Other values (65) 1149
40.6%
Hangul
ValueCountFrequency (%)
어 437
 
5.8%
헤 417
 
5.5%
스 243
 
3.2%
이 236
 
3.1%
리 153
 
2.0%
일 149
 
2.0%
네 142
 
1.9%
미 129
 
1.7%
세 117
 
1.5%
아 111
 
1.5%
Other values (504) 5442
71.8%
None
ValueCountFrequency (%)
＃ 2
50.0%
： 1
25.0%
· 1
25.0%
CJK
ValueCountFrequency (%)
美 1
33.3%
休 1
33.3%
秀 1
33.3%

영업소 주소(도로명)
Text

Distinct1377
Distinct (%)98.9%
Missing0
Missing (%)0.0%
Memory size11.0 KiB
2024-04-14T12:10:20.377681image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length87
Median length57
Mean length41.413075
Min length21

Characters and Unicode

Total characters57647
Distinct characters349
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

Unique1362 ?
Unique (%)97.8%

Sample

1st row인천광역시 연수구 능허대로 175 (옥련동)
2nd row인천광역시 연수구 능허대로167번길 6 (옥련동)
3rd row인천광역시 연수구 대암로 8 (옥련동)
4th row인천광역시 연수구 능허대로267번길 29 (동춘동)
5th row인천광역시 연수구 능허대로191번길 11 (옥련동)
ValueCountFrequency (%)
인천광역시 1392
 
13.2%
연수구 1392
 
13.2%
송도동 540
 
5.1%
1층 287
 
2.7%
연수동 233
 
2.2%
2층 161
 
1.5%
옥련동 154
 
1.5%
동춘동 147
 
1.4%
상가동 131
 
1.2%
송도 105
 
1.0%
Other values (1678) 6026
57.0%
2024-04-14T12:10:20.739022image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
9180
 
15.9%
1 2786
 
4.8%
동 2122
 
3.7%
, 1950
 
3.4%
연 1723
 
3.0%
수 1721
 
3.0%
2 1701
 
3.0%
시 1579
 
2.7%
인 1578
 
2.7%
) 1506
 
2.6%
Other values (339) 31801
55.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 33156
57.5%
Decimal Number 9640
 
16.7%
Space Separator 9180
 
15.9%
Other Punctuation 1989
 
3.5%
Close Punctuation 1506
 
2.6%
Open Punctuation 1506
 
2.6%
Uppercase Letter 383
 
0.7%
Dash Punctuation 210
 
0.4%
Math Symbol 45
 
0.1%
Lowercase Letter 29
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 2122
 
6.4%
연 1723
 
5.2%
수 1721
 
5.2%
시 1579
 
4.8%
인 1578
 
4.8%
천 1460
 
4.4%
로 1459
 
4.4%
광 1399
 
4.2%
구 1397
 
4.2%
역 1392
 
4.2%
Other values (288) 17326
52.3%
Uppercase Letter
ValueCountFrequency (%)
A 84
21.9%
B 57
14.9%
D 35
9.1%
C 34
8.9%
S 20
 
5.2%
E 19
 
5.0%
T 15
 
3.9%
M 15
 
3.9%
U 15
 
3.9%
G 12
 
3.1%
Other values (13) 77
20.1%
Decimal Number
ValueCountFrequency (%)
1 2786
28.9%
2 1701
17.6%
0 1208
12.5%
3 834
 
8.7%
4 634
 
6.6%
5 602
 
6.2%
8 552
 
5.7%
6 504
 
5.2%
7 453
 
4.7%
9 366
 
3.8%
Lowercase Letter
ValueCountFrequency (%)
e 9
31.0%
s 8
27.6%
t 7
24.1%
a 3
 
10.3%
m 1
 
3.4%
i 1
 
3.4%
Other Punctuation
ValueCountFrequency (%)
, 1950
98.0%
@ 32
 
1.6%
& 3
 
0.2%
. 3
 
0.2%
/ 1
 
0.1%
Letter Number
ValueCountFrequency (%)
Ⅲ 2
66.7%
Ⅰ 1
33.3%
Space Separator
ValueCountFrequency (%)
9180
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1506
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1506
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 210
100.0%
Math Symbol
ValueCountFrequency (%)
~ 45
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 33156
57.5%
Common 24076
41.8%
Latin 415
 
0.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 2122
 
6.4%
연 1723
 
5.2%
수 1721
 
5.2%
시 1579
 
4.8%
인 1578
 
4.8%
천 1460
 
4.4%
로 1459
 
4.4%
광 1399
 
4.2%
구 1397
 
4.2%
역 1392
 
4.2%
Other values (288) 17326
52.3%
Latin
ValueCountFrequency (%)
A 84
20.2%
B 57
13.7%
D 35
 
8.4%
C 34
 
8.2%
S 20
 
4.8%
E 19
 
4.6%
T 15
 
3.6%
M 15
 
3.6%
U 15
 
3.6%
G 12
 
2.9%
Other values (21) 109
26.3%
Common
ValueCountFrequency (%)
9180
38.1%
1 2786
 
11.6%
, 1950
 
8.1%
2 1701
 
7.1%
) 1506
 
6.3%
( 1506
 
6.3%
0 1208
 
5.0%
3 834
 
3.5%
4 634
 
2.6%
5 602
 
2.5%
Other values (10) 2169
 
9.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 33156
57.5%
ASCII 24488
42.5%
Number Forms 3
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
9180
37.5%
1 2786
 
11.4%
, 1950
 
8.0%
2 1701
 
6.9%
) 1506
 
6.1%
( 1506
 
6.1%
0 1208
 
4.9%
3 834
 
3.4%
4 634
 
2.6%
5 602
 
2.5%
Other values (39) 2581
 
10.5%
Hangul
ValueCountFrequency (%)
동 2122
 
6.4%
연 1723
 
5.2%
수 1721
 
5.2%
시 1579
 
4.8%
인 1578
 
4.8%
천 1460
 
4.4%
로 1459
 
4.4%
광 1399
 
4.2%
구 1397
 
4.2%
역 1392
 
4.2%
Other values (288) 17326
52.3%
Number Forms
ValueCountFrequency (%)
Ⅲ 2
66.7%
Ⅰ 1
33.3%

소재지전화
Text

Distinct869
Distinct (%)62.4%
Missing0
Missing (%)0.0%
Memory size11.0 KiB
2024-04-14T12:10:21.011836image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length14
Mean length9.5251437
Min length2

Characters and Unicode

Total characters13259
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique861 ?
Unique (%)61.9%

Sample

1st row 032- 833-6222
2nd row 032- 832-1525
3rd row032 -832 -1500
4th row 032- 832-1311
5th row032 -832 -9700
ValueCountFrequency (%)
032 809
29.4%
534
19.4%
831 47
 
1.7%
833 44
 
1.6%
811 36
 
1.3%
070 35
 
1.3%
822 33
 
1.2%
834 25
 
0.9%
818 24
 
0.9%
832 24
 
0.9%
Other values (930) 1144
41.5%
2024-04-14T12:10:21.413605image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 2784
21.0%
1705
12.9%
3 1587
12.0%
2 1476
11.1%
0 1404
10.6%
8 1193
9.0%
1 956
 
7.2%
5 497
 
3.7%
7 496
 
3.7%
4 400
 
3.0%
Other values (2) 761
 
5.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 8770
66.1%
Dash Punctuation 2784
 
21.0%
Space Separator 1705
 
12.9%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
3 1587
18.1%
2 1476
16.8%
0 1404
16.0%
8 1193
13.6%
1 956
10.9%
5 497
 
5.7%
7 496
 
5.7%
4 400
 
4.6%
6 390
 
4.4%
9 371
 
4.2%
Dash Punctuation
ValueCountFrequency (%)
- 2784
100.0%
Space Separator
ValueCountFrequency (%)
1705
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 13259
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 2784
21.0%
1705
12.9%
3 1587
12.0%
2 1476
11.1%
0 1404
10.6%
8 1193
9.0%
1 956
 
7.2%
5 497
 
3.7%
7 496
 
3.7%
4 400
 
3.0%
Other values (2) 761
 
5.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 13259
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 2784
21.0%
1705
12.9%
3 1587
12.0%
2 1476
11.1%
0 1404
10.6%
8 1193
9.0%
1 956
 
7.2%
5 497
 
3.7%
7 496
 
3.7%
4 400
 
3.0%
Other values (2) 761
 
5.7%

Missing values

2024-04-14T12:10:19.330773image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-04-14T12:10:19.397712image/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

업종명업소명영업소 주소(도로명)소재지전화
0숙박업(일반)둥지모텔인천광역시 연수구 능허대로 175 (옥련동)032- 833-6222
1숙박업(일반)삼미장여관인천광역시 연수구 능허대로167번길 6 (옥련동)032- 832-1525
2숙박업(일반)호텔뷰(VIEW)인천광역시 연수구 대암로 8 (옥련동)032 -832 -1500
3숙박업(일반)라마다송도호텔(주)인천광역시 연수구 능허대로267번길 29 (동춘동)032- 832-1311
4숙박업(일반)여우비인천광역시 연수구 능허대로191번길 11 (옥련동)032 -832 -9700
5숙박업(일반)필드모텔인천광역시 연수구 대암로 4 (옥련동)032-0832-1239
6숙박업(일반)가빈인천광역시 연수구 인권로 17 (옥련동)032- 832-3561
7숙박업(일반)호텔메이인천광역시 연수구 인권로9번길 10 (옥련동)032 -834 -5505
8숙박업(일반)큐(Q)모텔인천광역시 연수구 대암로8번길 14 (옥련동)032- 831-9488
9숙박업(일반)노리터모텔인천광역시 연수구 인권로 15 (옥련동)032 -858 -8664
업종명업소명영업소 주소(도로명)소재지전화
1382피부미용업, 네일미용업, 화장ㆍ분장 미용업아이라이크인천광역시 연수구 새말로 27, 동남아파트내운동,구매,생활시설 1층 109일부호 (연수동)--
1383피부미용업, 네일미용업, 화장ㆍ분장 미용업더 예뻐질, 네일인천광역시 연수구 인천타워대로 257, 아트포레 푸르지오시티 A동 203호 (송도동)--
1384피부미용업, 네일미용업, 화장ㆍ분장 미용업네일 민(Nail Min)인천광역시 연수구 컨벤시아대로 116, 1층 125호 (송도동, 푸르지오월드마크)--
1385피부미용업, 네일미용업, 화장ㆍ분장 미용업네일은 예쁘게인천광역시 연수구 컨벤시아대로 50, 1층 118호 (송도동, 푸르지오월드마크)--
1386피부미용업, 네일미용업, 화장ㆍ분장 미용업네일해피(nail happy)인천광역시 연수구 신송로6번길 7, 상가동 201호 (송도동, 송도 성지리벨루스)--
1387피부미용업, 네일미용업, 화장ㆍ분장 미용업바닐라뷰티크인천광역시 연수구 하모니로 158, 송도타임스페이스 C동 215호 (송도동)--
1388피부미용업, 네일미용업, 화장ㆍ분장 미용업소담살롱인천광역시 연수구 하모니로 158, 송도타임스페이스 D동 2층 222호 (송도동)--
1389피부미용업, 네일미용업, 화장ㆍ분장 미용업365왁싱인천광역시 연수구 앵고개로 260, 맘모스빌딩 2층 208호 (동춘동)--
1390피부미용업, 네일미용업, 화장ㆍ분장 미용업네일을 부탁해인천광역시 연수구 계림로112번길 9, 삼성주택 1층 일부호 (청학동)032- 819-7715
1391피부미용업, 네일미용업, 화장ㆍ분장 미용업나다운네일인천광역시 연수구 하모니로178번길 22, 3층 315일부호 (송도동)--