Overview

Dataset statistics

Number of variables4
Number of observations946
Missing cells437
Missing cells (%)11.5%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory29.7 KiB
Average record size in memory32.1 B

Variable types

Categorical1
Text3

Dataset

Description충청남도 아산시 미용업소 현황으로 업소명, 업종명, 주소, 업소현황 등의 정보를 제공합니다.------------------------------
URLhttps://www.data.go.kr/data/15055144/fileData.do

Alerts

소재지전화 has 437 (46.2%) missing valuesMissing

Reproduction

Analysis started2023-12-12 22:22:04.212469
Analysis finished2023-12-12 22:22:04.738086
Duration0.53 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

업종명
Categorical

Distinct16
Distinct (%)1.7%
Missing0
Missing (%)0.0%
Memory size7.5 KiB
일반미용업
408 
미용업
179 
피부미용업
101 
네일미용업
86 
종합미용업
62 
Other values (11)
110 

Length

Max length23
Median length5
Mean length5.8403805
Min length3

Unique

Unique1 ?
Unique (%)0.1%

Sample

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

Common Values

ValueCountFrequency (%)
일반미용업 408
43.1%
미용업 179
18.9%
피부미용업 101
 
10.7%
네일미용업 86
 
9.1%
종합미용업 62
 
6.6%
피부미용업, 네일미용업 19
 
2.0%
일반미용업, 화장ㆍ분장 미용업 19
 
2.0%
피부미용업, 화장ㆍ분장 미용업 13
 
1.4%
네일미용업, 화장ㆍ분장 미용업 13
 
1.4%
일반미용업, 피부미용업 10
 
1.1%
Other values (6) 36
 
3.8%

Length

2023-12-13T07:22:05.104926image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
일반미용업 456
39.9%
미용업 252
22.1%
피부미용업 157
 
13.7%
네일미용업 142
 
12.4%
화장ㆍ분장 73
 
6.4%
종합미용업 62
 
5.4%

업소명
Text

Distinct934
Distinct (%)98.7%
Missing0
Missing (%)0.0%
Memory size7.5 KiB
2023-12-13T07:22:05.675478image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length38
Median length28
Mean length6.3742072
Min length2

Characters and Unicode

Total characters6030
Distinct characters529
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique922 ?
Unique (%)97.5%

Sample

1st row정희미장원
2nd row쎈추리미장원
3rd row가림미용실
4th row제일미장원
5th row고향미장원
ValueCountFrequency (%)
헤어샵 12
 
1.1%
헤어 11
 
1.0%
hair 9
 
0.8%
아산점 8
 
0.7%
nail 7
 
0.6%
아산터미널점 6
 
0.5%
salon 6
 
0.5%
남성컷트전문점 4
 
0.4%
the 4
 
0.4%
에스테틱 4
 
0.4%
Other values (995) 1044
93.6%
2023-12-13T07:22:06.735848image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
어 435
 
7.2%
헤 421
 
7.0%
225
 
3.7%
미 188
 
3.1%
스 120
 
2.0%
리 116
 
1.9%
일 114
 
1.9%
네 109
 
1.8%
이 105
 
1.7%
아 105
 
1.7%
Other values (519) 4092
67.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 5002
83.0%
Lowercase Letter 258
 
4.3%
Uppercase Letter 250
 
4.1%
Space Separator 225
 
3.7%
Open Punctuation 93
 
1.5%
Close Punctuation 93
 
1.5%
Decimal Number 57
 
0.9%
Other Punctuation 50
 
0.8%
Dash Punctuation 1
 
< 0.1%
Math Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
어 435
 
8.7%
헤 421
 
8.4%
미 188
 
3.8%
스 120
 
2.4%
리 116
 
2.3%
일 114
 
2.3%
네 109
 
2.2%
이 105
 
2.1%
아 105
 
2.1%
실 99
 
2.0%
Other values (449) 3190
63.8%
Lowercase Letter
ValueCountFrequency (%)
a 47
18.2%
i 30
11.6%
l 22
8.5%
e 20
7.8%
o 20
7.8%
n 17
 
6.6%
r 17
 
6.6%
u 15
 
5.8%
h 13
 
5.0%
y 12
 
4.7%
Other values (14) 45
17.4%
Uppercase Letter
ValueCountFrequency (%)
A 23
 
9.2%
N 23
 
9.2%
H 22
 
8.8%
O 20
 
8.0%
S 18
 
7.2%
I 17
 
6.8%
B 16
 
6.4%
M 15
 
6.0%
J 14
 
5.6%
L 14
 
5.6%
Other values (13) 68
27.2%
Decimal Number
ValueCountFrequency (%)
2 10
17.5%
7 8
14.0%
4 7
12.3%
1 7
12.3%
0 6
10.5%
3 6
10.5%
6 4
 
7.0%
9 4
 
7.0%
5 3
 
5.3%
8 2
 
3.5%
Other Punctuation
ValueCountFrequency (%)
& 13
26.0%
, 11
22.0%
. 10
20.0%
# 4
 
8.0%
: 4
 
8.0%
' 4
 
8.0%
/ 2
 
4.0%
? 2
 
4.0%
Space Separator
ValueCountFrequency (%)
225
100.0%
Open Punctuation
ValueCountFrequency (%)
( 93
100.0%
Close Punctuation
ValueCountFrequency (%)
) 93
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%
Math Symbol
ValueCountFrequency (%)
+ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 5002
83.0%
Common 520
 
8.6%
Latin 508
 
8.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
어 435
 
8.7%
헤 421
 
8.4%
미 188
 
3.8%
스 120
 
2.4%
리 116
 
2.3%
일 114
 
2.3%
네 109
 
2.2%
이 105
 
2.1%
아 105
 
2.1%
실 99
 
2.0%
Other values (449) 3190
63.8%
Latin
ValueCountFrequency (%)
a 47
 
9.3%
i 30
 
5.9%
A 23
 
4.5%
N 23
 
4.5%
l 22
 
4.3%
H 22
 
4.3%
O 20
 
3.9%
e 20
 
3.9%
o 20
 
3.9%
S 18
 
3.5%
Other values (37) 263
51.8%
Common
ValueCountFrequency (%)
225
43.3%
( 93
17.9%
) 93
17.9%
& 13
 
2.5%
, 11
 
2.1%
. 10
 
1.9%
2 10
 
1.9%
7 8
 
1.5%
4 7
 
1.3%
1 7
 
1.3%
Other values (13) 43
 
8.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 5001
82.9%
ASCII 1028
 
17.0%
Compat Jamo 1
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
어 435
 
8.7%
헤 421
 
8.4%
미 188
 
3.8%
스 120
 
2.4%
리 116
 
2.3%
일 114
 
2.3%
네 109
 
2.2%
이 105
 
2.1%
아 105
 
2.1%
실 99
 
2.0%
Other values (448) 3189
63.8%
ASCII
ValueCountFrequency (%)
225
21.9%
( 93
 
9.0%
) 93
 
9.0%
a 47
 
4.6%
i 30
 
2.9%
A 23
 
2.2%
N 23
 
2.2%
l 22
 
2.1%
H 22
 
2.1%
O 20
 
1.9%
Other values (60) 430
41.8%
Compat Jamo
ValueCountFrequency (%)
ㅔ 1
100.0%

영업소 주소(도로명)
Text

Distinct920
Distinct (%)97.3%
Missing0
Missing (%)0.0%
Memory size7.5 KiB
2023-12-13T07:22:07.008223image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length81
Median length59
Mean length33.65222
Min length17

Characters and Unicode

Total characters31835
Distinct characters281
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

Unique894 ?
Unique (%)94.5%

Sample

1st row충청남도 아산시 온천대로 1511 (온천동)
2nd row충청남도 아산시 온화로65번길 17 (온천동)
3rd row충청남도 아산시 시장길 8, 2층 (온천동)
4th row충청남도 아산시 시장길 11-4 (온천동)
5th row충청남도 아산시 신창면 서부북로 596
ValueCountFrequency (%)
아산시 946
 
14.7%
충청남도 942
 
14.6%
1층 525
 
8.1%
배방읍 245
 
3.8%
온천동 133
 
2.1%
2층 133
 
2.1%
용화동 100
 
1.6%
모종동 93
 
1.4%
둔포면 68
 
1.1%
탕정면 67
 
1.0%
Other values (1112) 3190
49.5%
2023-12-13T07:22:07.478985image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5501
 
17.3%
1 1974
 
6.2%
아 1236
 
3.9%
산 1142
 
3.6%
시 1102
 
3.5%
남 1003
 
3.2%
도 1002
 
3.1%
2 989
 
3.1%
청 970
 
3.0%
충 962
 
3.0%
Other values (271) 15954
50.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 17682
55.5%
Decimal Number 5879
 
18.5%
Space Separator 5501
 
17.3%
Other Punctuation 900
 
2.8%
Open Punctuation 705
 
2.2%
Close Punctuation 705
 
2.2%
Dash Punctuation 342
 
1.1%
Uppercase Letter 112
 
0.4%
Lowercase Letter 7
 
< 0.1%
Math Symbol 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
아 1236
 
7.0%
산 1142
 
6.5%
시 1102
 
6.2%
남 1003
 
5.7%
도 1002
 
5.7%
청 970
 
5.5%
충 962
 
5.4%
로 833
 
4.7%
동 766
 
4.3%
층 747
 
4.2%
Other values (232) 7919
44.8%
Uppercase Letter
ValueCountFrequency (%)
B 39
34.8%
A 14
 
12.5%
D 9
 
8.0%
G 8
 
7.1%
E 7
 
6.2%
C 7
 
6.2%
H 5
 
4.5%
L 4
 
3.6%
T 3
 
2.7%
S 3
 
2.7%
Other values (8) 13
 
11.6%
Decimal Number
ValueCountFrequency (%)
1 1974
33.6%
2 989
16.8%
0 629
 
10.7%
3 488
 
8.3%
4 368
 
6.3%
5 341
 
5.8%
6 330
 
5.6%
7 302
 
5.1%
8 279
 
4.7%
9 179
 
3.0%
Other Punctuation
ValueCountFrequency (%)
, 892
99.1%
@ 7
 
0.8%
. 1
 
0.1%
Lowercase Letter
ValueCountFrequency (%)
e 3
42.9%
t 2
28.6%
h 2
28.6%
Space Separator
ValueCountFrequency (%)
5501
100.0%
Open Punctuation
ValueCountFrequency (%)
( 705
100.0%
Close Punctuation
ValueCountFrequency (%)
) 705
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 342
100.0%
Math Symbol
ValueCountFrequency (%)
~ 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 17682
55.5%
Common 14034
44.1%
Latin 119
 
0.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
아 1236
 
7.0%
산 1142
 
6.5%
시 1102
 
6.2%
남 1003
 
5.7%
도 1002
 
5.7%
청 970
 
5.5%
충 962
 
5.4%
로 833
 
4.7%
동 766
 
4.3%
층 747
 
4.2%
Other values (232) 7919
44.8%
Latin
ValueCountFrequency (%)
B 39
32.8%
A 14
 
11.8%
D 9
 
7.6%
G 8
 
6.7%
E 7
 
5.9%
C 7
 
5.9%
H 5
 
4.2%
L 4
 
3.4%
e 3
 
2.5%
T 3
 
2.5%
Other values (11) 20
16.8%
Common
ValueCountFrequency (%)
5501
39.2%
1 1974
 
14.1%
2 989
 
7.0%
, 892
 
6.4%
( 705
 
5.0%
) 705
 
5.0%
0 629
 
4.5%
3 488
 
3.5%
4 368
 
2.6%
- 342
 
2.4%
Other values (8) 1441
 
10.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 17682
55.5%
ASCII 14153
44.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5501
38.9%
1 1974
 
13.9%
2 989
 
7.0%
, 892
 
6.3%
( 705
 
5.0%
) 705
 
5.0%
0 629
 
4.4%
3 488
 
3.4%
4 368
 
2.6%
- 342
 
2.4%
Other values (29) 1560
 
11.0%
Hangul
ValueCountFrequency (%)
아 1236
 
7.0%
산 1142
 
6.5%
시 1102
 
6.2%
남 1003
 
5.7%
도 1002
 
5.7%
청 970
 
5.5%
충 962
 
5.4%
로 833
 
4.7%
동 766
 
4.3%
층 747
 
4.2%
Other values (232) 7919
44.8%

소재지전화
Text

MISSING 

Distinct497
Distinct (%)97.6%
Missing437
Missing (%)46.2%
Memory size7.5 KiB
2023-12-13T07:22:07.760406image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length12.023576
Min length11

Characters and Unicode

Total characters6120
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

Unique485 ?
Unique (%)95.3%

Sample

1st row041-545-6387
2nd row041-542-1528
3rd row041-545-3264
4th row041-545-6624
5th row041-542-1140
ValueCountFrequency (%)
041-541-8838 2
 
0.4%
041-534-9996 2
 
0.4%
041-542-5552 2
 
0.4%
041-532-4104 2
 
0.4%
070-4300-8090 2
 
0.4%
041-911-0815 2
 
0.4%
041-544-0142 2
 
0.4%
041-542-3934 2
 
0.4%
041-544-1688 2
 
0.4%
041-543-3369 2
 
0.4%
Other values (487) 489
96.1%
2023-12-13T07:22:08.187594image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
4 1040
17.0%
- 1018
16.6%
1 808
13.2%
0 764
12.5%
5 757
12.4%
3 470
7.7%
2 301
 
4.9%
7 262
 
4.3%
8 241
 
3.9%
9 233
 
3.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 5102
83.4%
Dash Punctuation 1018
 
16.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
4 1040
20.4%
1 808
15.8%
0 764
15.0%
5 757
14.8%
3 470
9.2%
2 301
 
5.9%
7 262
 
5.1%
8 241
 
4.7%
9 233
 
4.6%
6 226
 
4.4%
Dash Punctuation
ValueCountFrequency (%)
- 1018
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 6120
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
4 1040
17.0%
- 1018
16.6%
1 808
13.2%
0 764
12.5%
5 757
12.4%
3 470
7.7%
2 301
 
4.9%
7 262
 
4.3%
8 241
 
3.9%
9 233
 
3.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 6120
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
4 1040
17.0%
- 1018
16.6%
1 808
13.2%
0 764
12.5%
5 757
12.4%
3 470
7.7%
2 301
 
4.9%
7 262
 
4.3%
8 241
 
3.9%
9 233
 
3.8%

Missing values

2023-12-13T07:22:04.626119image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T07:22:04.701889image/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
0미용업정희미장원충청남도 아산시 온천대로 1511 (온천동)041-545-6387
1미용업쎈추리미장원충청남도 아산시 온화로65번길 17 (온천동)041-542-1528
2미용업가림미용실충청남도 아산시 시장길 8, 2층 (온천동)041-545-3264
3미용업제일미장원충청남도 아산시 시장길 11-4 (온천동)041-545-6624
4미용업고향미장원충청남도 아산시 신창면 서부북로 596041-542-1140
5미용업아카데미미장원충청남도 아산시 삼동로16번길 39-6 (모종동)041-545-2650
6미용업유신미장원충청남도 아산시 시민로393번길 6-10 (온천동)041-545-4068
7미용업은희미장원충청남도 아산시 배방읍 북수로39번길 38-8041-548-1637
8미용업가고파미장원충청남도 아산시 배방읍 모산로 169041-548-7387
9미용업뉴진희미용실충청남도 아산시 남산로 57-9 (온천동,(1층))041-545-7621
업종명업소명영업소 주소(도로명)소재지전화
936일반미용업, 네일미용업, 화장ㆍ분장 미용업소유헤어살롱충청남도 아산시 어의정로 119, 2층 203호 (온천동)<NA>
937피부미용업, 네일미용업, 화장ㆍ분장 미용업눈썹퀸충청남도 아산시 둔포면 아산밸리중앙로 67, 411(상가)동 지하1층 B112호 (아산테크노밸리 EG the1 4단지아파트)041-546-0486
938피부미용업, 네일미용업, 화장ㆍ분장 미용업더네일(The Nail)충청남도 아산시 번영로69번길 32-2, 1층 (온천동)<NA>
939피부미용업, 네일미용업, 화장ㆍ분장 미용업모나네일충청남도 아산시 순천향로 624-11, 1층 (장존동)041-531-4141
940피부미용업, 네일미용업, 화장ㆍ분장 미용업네일온충청남도 아산시 용화로12번길 7-3, 1층 102호 (용화동)<NA>
941피부미용업, 네일미용업, 화장ㆍ분장 미용업카틀레아충청남도 아산시 온양역길 142, 1층 102호 (용화동)041-533-0412
942피부미용업, 네일미용업, 화장ㆍ분장 미용업프롬뷰티충청남도 아산시 용화로12번길 7-4, 1층 (용화동)<NA>
943피부미용업, 네일미용업, 화장ㆍ분장 미용업뷰티,풀문충청남도 아산시 둔포면 아산밸리북로 48, 512동 B1층 B102호 (아산테크노밸리 이지더원 5단지아파트)<NA>
944피부미용업, 네일미용업, 화장ㆍ분장 미용업베러뷰티충청남도 아산시 둔포면 둔포중앙로161번길 22-1, 1층041-544-9964
945피부미용업, 네일미용업, 화장ㆍ분장 미용업네일,봄충청남도 아산시 용화로9번길 3-6, 1층 101호 (용화동)<NA>