Overview

Dataset statistics

Number of variables5
Number of observations357
Missing cells157
Missing cells (%)8.8%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory14.1 KiB
Average record size in memory40.4 B

Variable types

Text4
DateTime1

Dataset

Description전라북도 정읍시 에서 제공하는 미용업 현황중( 업소명, 영업소도로명주소, 영업소지번주소, 소재지전화)등의 정보를 제공합니다.
Author전라북도 정읍시
URLhttps://www.data.go.kr/data/15047945/fileData.do

Alerts

데이터기준일자 has constant value ""Constant
소재지전화 has 157 (44.0%) missing valuesMissing

Reproduction

Analysis started2023-12-16 15:52:46.677222
Analysis finished2023-12-16 15:52:50.166896
Duration3.49 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

업소명
Text

Distinct355
Distinct (%)99.4%
Missing0
Missing (%)0.0%
Memory size2.9 KiB
2023-12-16T15:52:50.765325image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length17
Median length16
Mean length5.7563025
Min length1

Characters and Unicode

Total characters2055
Distinct characters340
Distinct categories8 ?
Distinct scripts4 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique353 ?
Unique (%)98.9%

Sample

1st row유진미용원
2nd row호수미용실
3rd row세련헤어
4th row주연희헤어라인
5th row희미용실
ValueCountFrequency (%)
헤어 13
 
2.9%
네일 6
 
1.3%
헤어샵 5
 
1.1%
미용실 5
 
1.1%
에스테틱 4
 
0.9%
정읍점 3
 
0.7%
더 2
 
0.4%
머리방 2
 
0.4%
2
 
0.4%
봄 2
 
0.4%
Other values (392) 401
90.1%
2023-12-16T15:52:53.076167image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
어 146
 
7.1%
헤 138
 
6.7%
미 111
 
5.4%
89
 
4.3%
용 79
 
3.8%
실 78
 
3.8%
리 46
 
2.2%
스 42
 
2.0%
샵 40
 
1.9%
이 33
 
1.6%
Other values (330) 1253
61.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1880
91.5%
Space Separator 89
 
4.3%
Uppercase Letter 31
 
1.5%
Lowercase Letter 17
 
0.8%
Other Punctuation 14
 
0.7%
Close Punctuation 9
 
0.4%
Open Punctuation 9
 
0.4%
Decimal Number 6
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
어 146
 
7.8%
헤 138
 
7.3%
미 111
 
5.9%
용 79
 
4.2%
실 78
 
4.1%
리 46
 
2.4%
스 42
 
2.2%
샵 40
 
2.1%
이 33
 
1.8%
일 32
 
1.7%
Other values (294) 1135
60.4%
Uppercase Letter
ValueCountFrequency (%)
S 5
16.1%
H 3
9.7%
A 3
9.7%
L 3
9.7%
O 3
9.7%
N 3
9.7%
T 2
 
6.5%
G 2
 
6.5%
C 2
 
6.5%
W 1
 
3.2%
Other values (4) 4
12.9%
Lowercase Letter
ValueCountFrequency (%)
r 3
17.6%
o 3
17.6%
n 2
11.8%
b 2
11.8%
e 2
11.8%
w 1
 
5.9%
a 1
 
5.9%
s 1
 
5.9%
h 1
 
5.9%
y 1
 
5.9%
Other Punctuation
ValueCountFrequency (%)
& 5
35.7%
' 3
21.4%
# 2
 
14.3%
, 2
 
14.3%
! 1
 
7.1%
. 1
 
7.1%
Decimal Number
ValueCountFrequency (%)
2 2
33.3%
9 2
33.3%
3 2
33.3%
Space Separator
ValueCountFrequency (%)
89
100.0%
Close Punctuation
ValueCountFrequency (%)
) 9
100.0%
Open Punctuation
ValueCountFrequency (%)
( 9
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1879
91.4%
Common 127
 
6.2%
Latin 48
 
2.3%
Han 1
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
어 146
 
7.8%
헤 138
 
7.3%
미 111
 
5.9%
용 79
 
4.2%
실 78
 
4.2%
리 46
 
2.4%
스 42
 
2.2%
샵 40
 
2.1%
이 33
 
1.8%
일 32
 
1.7%
Other values (293) 1134
60.4%
Latin
ValueCountFrequency (%)
S 5
 
10.4%
H 3
 
6.2%
r 3
 
6.2%
A 3
 
6.2%
L 3
 
6.2%
O 3
 
6.2%
N 3
 
6.2%
o 3
 
6.2%
n 2
 
4.2%
b 2
 
4.2%
Other values (14) 18
37.5%
Common
ValueCountFrequency (%)
89
70.1%
) 9
 
7.1%
( 9
 
7.1%
& 5
 
3.9%
' 3
 
2.4%
2 2
 
1.6%
9 2
 
1.6%
3 2
 
1.6%
# 2
 
1.6%
, 2
 
1.6%
Other values (2) 2
 
1.6%
Han
ValueCountFrequency (%)
美 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1879
91.4%
ASCII 175
 
8.5%
CJK 1
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
어 146
 
7.8%
헤 138
 
7.3%
미 111
 
5.9%
용 79
 
4.2%
실 78
 
4.2%
리 46
 
2.4%
스 42
 
2.2%
샵 40
 
2.1%
이 33
 
1.8%
일 32
 
1.7%
Other values (293) 1134
60.4%
ASCII
ValueCountFrequency (%)
89
50.9%
) 9
 
5.1%
( 9
 
5.1%
S 5
 
2.9%
& 5
 
2.9%
H 3
 
1.7%
r 3
 
1.7%
A 3
 
1.7%
L 3
 
1.7%
' 3
 
1.7%
Other values (26) 43
24.6%
CJK
ValueCountFrequency (%)
美 1
100.0%

영업소 주소(도로명)
Text

Distinct347
Distinct (%)97.2%
Missing0
Missing (%)0.0%
Memory size2.9 KiB
2023-12-16T15:52:54.000070image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length47
Median length44
Mean length24.212885
Min length9

Characters and Unicode

Total characters8644
Distinct characters171
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

Unique337 ?
Unique (%)94.4%

Sample

1st row전라북도 정읍시 수성2로 29 (수성동)
2nd row전라북도 정읍시 태평5길 34 (시기동)
3rd row전라북도 정읍시 명덕로 44-1 (연지동)
4th row전라북도 정읍시 조곡천1길 60-7 (시기동)
5th row전라북도 정읍시 중앙2길 34 (수성동)
ValueCountFrequency (%)
전라북도 355
18.5%
정읍시 355
18.5%
수성동 100
 
5.2%
상동 95
 
4.9%
시기동 69
 
3.6%
1층 61
 
3.2%
중앙로 32
 
1.7%
연지동 29
 
1.5%
학산로 29
 
1.5%
충정로 23
 
1.2%
Other values (390) 776
40.3%
2023-12-16T15:52:56.117599image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1567
18.1%
시 435
 
5.0%
정 407
 
4.7%
읍 388
 
4.5%
북 364
 
4.2%
전 356
 
4.1%
도 356
 
4.1%
라 355
 
4.1%
1 334
 
3.9%
동 330
 
3.8%
Other values (161) 3752
43.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 4961
57.4%
Space Separator 1567
 
18.1%
Decimal Number 1229
 
14.2%
Open Punctuation 316
 
3.7%
Close Punctuation 316
 
3.7%
Dash Punctuation 117
 
1.4%
Other Punctuation 117
 
1.4%
Uppercase Letter 15
 
0.2%
Math Symbol 5
 
0.1%
Lowercase Letter 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
시 435
 
8.8%
정 407
 
8.2%
읍 388
 
7.8%
북 364
 
7.3%
전 356
 
7.2%
도 356
 
7.2%
라 355
 
7.2%
동 330
 
6.7%
로 230
 
4.6%
수 164
 
3.3%
Other values (134) 1576
31.8%
Decimal Number
ValueCountFrequency (%)
1 334
27.2%
2 183
14.9%
3 127
 
10.3%
4 111
 
9.0%
7 97
 
7.9%
5 91
 
7.4%
0 84
 
6.8%
6 77
 
6.3%
9 70
 
5.7%
8 55
 
4.5%
Uppercase Letter
ValueCountFrequency (%)
E 4
26.7%
L 2
13.3%
R 2
13.3%
P 2
13.3%
A 2
13.3%
C 2
13.3%
M 1
 
6.7%
Math Symbol
ValueCountFrequency (%)
> 2
40.0%
< 2
40.0%
~ 1
20.0%
Other Punctuation
ValueCountFrequency (%)
, 116
99.1%
. 1
 
0.9%
Space Separator
ValueCountFrequency (%)
1567
100.0%
Open Punctuation
ValueCountFrequency (%)
( 316
100.0%
Close Punctuation
ValueCountFrequency (%)
) 316
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 117
100.0%
Lowercase Letter
ValueCountFrequency (%)
r 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 4961
57.4%
Common 3667
42.4%
Latin 16
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
시 435
 
8.8%
정 407
 
8.2%
읍 388
 
7.8%
북 364
 
7.3%
전 356
 
7.2%
도 356
 
7.2%
라 355
 
7.2%
동 330
 
6.7%
로 230
 
4.6%
수 164
 
3.3%
Other values (134) 1576
31.8%
Common
ValueCountFrequency (%)
1567
42.7%
1 334
 
9.1%
( 316
 
8.6%
) 316
 
8.6%
2 183
 
5.0%
3 127
 
3.5%
- 117
 
3.2%
, 116
 
3.2%
4 111
 
3.0%
7 97
 
2.6%
Other values (9) 383
 
10.4%
Latin
ValueCountFrequency (%)
E 4
25.0%
L 2
12.5%
R 2
12.5%
P 2
12.5%
A 2
12.5%
C 2
12.5%
M 1
 
6.2%
r 1
 
6.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 4961
57.4%
ASCII 3683
42.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1567
42.5%
1 334
 
9.1%
( 316
 
8.6%
) 316
 
8.6%
2 183
 
5.0%
3 127
 
3.4%
- 117
 
3.2%
, 116
 
3.1%
4 111
 
3.0%
7 97
 
2.6%
Other values (17) 399
 
10.8%
Hangul
ValueCountFrequency (%)
시 435
 
8.8%
정 407
 
8.2%
읍 388
 
7.8%
북 364
 
7.3%
전 356
 
7.2%
도 356
 
7.2%
라 355
 
7.2%
동 330
 
6.7%
로 230
 
4.6%
수 164
 
3.3%
Other values (134) 1576
31.8%

영업소 주소(지번)
Text

Distinct341
Distinct (%)95.5%
Missing0
Missing (%)0.0%
Memory size2.9 KiB
2023-12-16T15:52:57.249776image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length38
Median length36
Mean length21.081232
Min length15

Characters and Unicode

Total characters7526
Distinct characters162
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

Unique325 ?
Unique (%)91.0%

Sample

1st row전라북도 정읍시 수성동 919-7
2nd row전라북도 정읍시 시기동 283-21
3rd row전라북도 정읍시 연지동 316-14
4th row전라북도 정읍시 시기동 194-11
5th row전라북도 정읍시 수성동 710-1
ValueCountFrequency (%)
전라북도 357
22.5%
정읍시 357
22.5%
수성동 102
 
6.4%
상동 97
 
6.1%
시기동 73
 
4.6%
연지동 29
 
1.8%
신태인읍 20
 
1.3%
신태인리 19
 
1.2%
1층일부 12
 
0.8%
1층 10
 
0.6%
Other values (436) 511
32.2%
2023-12-16T15:52:59.015934image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1574
20.9%
시 437
 
5.8%
읍 379
 
5.0%
정 362
 
4.8%
북 360
 
4.8%
전 358
 
4.8%
라 358
 
4.8%
도 357
 
4.7%
1 341
 
4.5%
동 329
 
4.4%
Other values (152) 2671
35.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3997
53.1%
Decimal Number 1609
21.4%
Space Separator 1574
 
20.9%
Dash Punctuation 317
 
4.2%
Open Punctuation 7
 
0.1%
Close Punctuation 7
 
0.1%
Other Punctuation 6
 
0.1%
Uppercase Letter 5
 
0.1%
Lowercase Letter 3
 
< 0.1%
Math Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
시 437
10.9%
읍 379
9.5%
정 362
9.1%
북 360
9.0%
전 358
9.0%
라 358
9.0%
도 357
8.9%
동 329
 
8.2%
상 115
 
2.9%
성 112
 
2.8%
Other values (128) 830
20.8%
Decimal Number
ValueCountFrequency (%)
1 341
21.2%
2 209
13.0%
3 184
11.4%
4 176
10.9%
5 156
9.7%
6 134
 
8.3%
0 118
 
7.3%
9 114
 
7.1%
8 93
 
5.8%
7 84
 
5.2%
Uppercase Letter
ValueCountFrequency (%)
M 2
40.0%
A 1
20.0%
P 1
20.0%
T 1
20.0%
Other Punctuation
ValueCountFrequency (%)
. 3
50.0%
, 2
33.3%
@ 1
 
16.7%
Lowercase Letter
ValueCountFrequency (%)
r 2
66.7%
a 1
33.3%
Space Separator
ValueCountFrequency (%)
1574
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 317
100.0%
Open Punctuation
ValueCountFrequency (%)
( 7
100.0%
Close Punctuation
ValueCountFrequency (%)
) 7
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3997
53.1%
Common 3521
46.8%
Latin 8
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
시 437
10.9%
읍 379
9.5%
정 362
9.1%
북 360
9.0%
전 358
9.0%
라 358
9.0%
도 357
8.9%
동 329
 
8.2%
상 115
 
2.9%
성 112
 
2.8%
Other values (128) 830
20.8%
Common
ValueCountFrequency (%)
1574
44.7%
1 341
 
9.7%
- 317
 
9.0%
2 209
 
5.9%
3 184
 
5.2%
4 176
 
5.0%
5 156
 
4.4%
6 134
 
3.8%
0 118
 
3.4%
9 114
 
3.2%
Other values (8) 198
 
5.6%
Latin
ValueCountFrequency (%)
M 2
25.0%
r 2
25.0%
A 1
12.5%
P 1
12.5%
T 1
12.5%
a 1
12.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3997
53.1%
ASCII 3529
46.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1574
44.6%
1 341
 
9.7%
- 317
 
9.0%
2 209
 
5.9%
3 184
 
5.2%
4 176
 
5.0%
5 156
 
4.4%
6 134
 
3.8%
0 118
 
3.3%
9 114
 
3.2%
Other values (14) 206
 
5.8%
Hangul
ValueCountFrequency (%)
시 437
10.9%
읍 379
9.5%
정 362
9.1%
북 360
9.0%
전 358
9.0%
라 358
9.0%
도 357
8.9%
동 329
 
8.2%
상 115
 
2.9%
성 112
 
2.8%
Other values (128) 830
20.8%

소재지전화
Text

MISSING 

Distinct200
Distinct (%)100.0%
Missing157
Missing (%)44.0%
Memory size2.9 KiB
2023-12-16T15:53:00.190085image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length12.005
Min length12

Characters and Unicode

Total characters2401
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

Unique200 ?
Unique (%)100.0%

Sample

1st row063-531-7347
2nd row063-535-3398
3rd row063-535-3294
4th row063-531-6338
5th row063-535-3596
ValueCountFrequency (%)
063-535-3853 1
 
0.5%
063-532-0335 1
 
0.5%
063-538-8788 1
 
0.5%
063-571-0134 1
 
0.5%
063-531-8486 1
 
0.5%
063-535-9728 1
 
0.5%
063-537-0383 1
 
0.5%
063-531-9868 1
 
0.5%
063-538-5720 1
 
0.5%
063-534-6006 1
 
0.5%
Other values (190) 190
95.0%
2023-12-16T15:53:02.237840image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3 530
22.1%
- 400
16.7%
5 314
13.1%
0 279
11.6%
6 278
11.6%
1 122
 
5.1%
8 120
 
5.0%
7 105
 
4.4%
2 104
 
4.3%
9 76
 
3.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2001
83.3%
Dash Punctuation 400
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
3 530
26.5%
5 314
15.7%
0 279
13.9%
6 278
13.9%
1 122
 
6.1%
8 120
 
6.0%
7 105
 
5.2%
2 104
 
5.2%
9 76
 
3.8%
4 73
 
3.6%
Dash Punctuation
ValueCountFrequency (%)
- 400
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 2401
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
3 530
22.1%
- 400
16.7%
5 314
13.1%
0 279
11.6%
6 278
11.6%
1 122
 
5.1%
8 120
 
5.0%
7 105
 
4.4%
2 104
 
4.3%
9 76
 
3.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2401
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3 530
22.1%
- 400
16.7%
5 314
13.1%
0 279
11.6%
6 278
11.6%
1 122
 
5.1%
8 120
 
5.0%
7 105
 
4.4%
2 104
 
4.3%
9 76
 
3.2%

데이터기준일자
Date

CONSTANT 

Distinct1
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size2.9 KiB
Minimum2023-12-13 00:00:00
Maximum2023-12-13 00:00:00
2023-12-16T15:53:03.279501image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-16T15:53:03.905369image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Missing values

2023-12-16T15:52:49.012537image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-16T15:52:50.048584image/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

업소명영업소 주소(도로명)영업소 주소(지번)소재지전화데이터기준일자
0유진미용원전라북도 정읍시 수성2로 29 (수성동)전라북도 정읍시 수성동 919-7063-531-73472023-12-13
1호수미용실전라북도 정읍시 태평5길 34 (시기동)전라북도 정읍시 시기동 283-21063-535-33982023-12-13
2세련헤어전라북도 정읍시 명덕로 44-1 (연지동)전라북도 정읍시 연지동 316-14063-535-32942023-12-13
3주연희헤어라인전라북도 정읍시 조곡천1길 60-7 (시기동)전라북도 정읍시 시기동 194-11063-531-63382023-12-13
4희미용실전라북도 정읍시 중앙2길 34 (수성동)전라북도 정읍시 수성동 710-1063-535-35962023-12-13
5현헤어전라북도 정읍시 우암로 53-1 (수성동)전라북도 정읍시 수성동 666-8063-535-58382023-12-13
6공주미장원전라북도 정읍시 명덕1길 14-1 (연지동)전라북도 정읍시 연지동 19-3063-535-35802023-12-13
7샛별미장원전라북도 정읍시 태평4길 33 (시기동)전라북도 정읍시 시기동 350-6063-532-34012023-12-13
8신신미용실전라북도 정읍시 우암로 20-12 (시기동)전라북도 정읍시 시기동 327-1063-535-44822023-12-13
9크로바 미용실전라북도 정읍시 우암로 48 (수성동)전라북도 정읍시 수성동 681-5063-533-67572023-12-13
업소명영업소 주소(도로명)영업소 주소(지번)소재지전화데이터기준일자
347미프로네일전라북도 정읍시 수성5로 21 (수성동)전라북도 정읍시 수성동 1009-6<NA>2023-12-13
348라성님 헤어샵전라북도 정읍시 중앙로 236 (상동)전라북도 정읍시 상동 660-9<NA>2023-12-13
349썸네일&속눈썹전라북도 정읍시 중앙로 258, 1층 (상동)전라북도 정읍시 상동 342-5<NA>2023-12-13
350서울 미용실전라북도 정읍시 중앙로 50 (연지동)전라북도 정읍시 연지동 47-5<NA>2023-12-13
351더담헤어전라북도 정읍시 학산로 103-14 (상동)전라북도 정읍시 상동 247-13063-535-88852023-12-13
352헤어코디전라북도 정읍시 관통로 10 (장명동)전라북도 정읍시 장명동 163<NA>2023-12-13
353네일오후전라북도 정읍시 명륜길 31, 솔로몬상가 1층 107호 (연지동)전라북도 정읍시 연지동 58-2 금융추어탕<NA>2023-12-13
354매일예쁨전라북도 정읍시 수성택지1길 53 (수성동)전라북도 정읍시 수성동 967-5<NA>2023-12-13
355레버리전라북도 정읍시 수성로 23, 101호전라북도 정읍시 수성동 944-10<NA>2023-12-13
356럭스제이헤어샵전라북도 정읍시 태경1길 2전라북도 정읍시 시기동 544-19063-538-26262023-12-13