Overview

Dataset statistics

Number of variables8
Number of observations587
Missing cells248
Missing cells (%)5.3%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory36.8 KiB
Average record size in memory64.2 B

Variable types

Categorical2
DateTime2
Text4

Dataset

Description광주광역시 동구에 등록 영업중인 미용업체의 업소명, 업소 주소 등을에 관한 정보를 지역 주민들에게 제공하고자 합니다.
Author광주광역시 동구
URLhttps://www.data.go.kr/data/15006931/fileData.do

Alerts

데이터 기준일자 has constant value ""Constant
비고 is highly overall correlated with 업종명High correlation
업종명 is highly overall correlated with 비고High correlation
소재지전화 has 248 (42.2%) missing valuesMissing

Reproduction

Analysis started2023-12-12 11:34:34.431018
Analysis finished2023-12-12 11:34:35.718912
Duration1.29 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

업종명
Categorical

HIGH CORRELATION 

Distinct13
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Memory size4.7 KiB
일반미용업
361 
피부미용업
61 
이용업
52 
네일미용업
37 
화장ㆍ분장 미용업
 
22
Other values (8)
54 

Length

Max length23
Median length5
Mean length5.8177172
Min length3

Unique

Unique1 ?
Unique (%)0.2%

Sample

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

Common Values

ValueCountFrequency (%)
일반미용업 361
61.5%
피부미용업 61
 
10.4%
이용업 52
 
8.9%
네일미용업 37
 
6.3%
화장ㆍ분장 미용업 22
 
3.7%
종합미용업 12
 
2.0%
일반미용업, 화장ㆍ분장 미용업 11
 
1.9%
피부미용업, 네일미용업, 화장ㆍ분장 미용업 10
 
1.7%
피부미용업, 화장ㆍ분장 미용업 6
 
1.0%
네일미용업, 화장ㆍ분장 미용업 6
 
1.0%
Other values (3) 9
 
1.5%

Length

2023-12-12T20:34:35.858690image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
일반미용업 378
54.5%
피부미용업 85
 
12.2%
네일미용업 57
 
8.2%
화장ㆍ분장 55
 
7.9%
미용업 55
 
7.9%
이용업 52
 
7.5%
종합미용업 12
 
1.7%

신고일자
Date

Distinct536
Distinct (%)91.3%
Missing0
Missing (%)0.0%
Memory size4.7 KiB
Minimum1963-07-05 00:00:00
Maximum2022-09-30 00:00:00
2023-12-12T20:34:36.116769image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T20:34:36.962934image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업소명
Text

Distinct581
Distinct (%)99.0%
Missing0
Missing (%)0.0%
Memory size4.7 KiB
2023-12-12T20:34:37.473594image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length37
Median length27
Mean length6.4463373
Min length1

Characters and Unicode

Total characters3784
Distinct characters468
Distinct categories10 ?
Distinct scripts5 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique576 ?
Unique (%)98.1%

Sample

1st row관동
2nd row동아
3rd row대흥
4th row서석이용원
5th row태양
ValueCountFrequency (%)
헤어 13
 
1.7%
미용실 10
 
1.3%
헤어샵 10
 
1.3%
헤어12.5 7
 
0.9%
nail 7
 
0.9%
hair 7
 
0.9%
더 6
 
0.8%
뷰티 4
 
0.5%
네일 4
 
0.5%
beauty 4
 
0.5%
Other values (682) 711
90.8%
2023-12-12T20:34:38.286846image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
어 209
 
5.5%
헤 199
 
5.3%
196
 
5.2%
이 91
 
2.4%
미 76
 
2.0%
스 70
 
1.8%
용 64
 
1.7%
) 61
 
1.6%
( 61
 
1.6%
리 61
 
1.6%
Other values (458) 2696
71.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2821
74.6%
Lowercase Letter 278
 
7.3%
Uppercase Letter 263
 
7.0%
Space Separator 196
 
5.2%
Close Punctuation 61
 
1.6%
Open Punctuation 61
 
1.6%
Decimal Number 56
 
1.5%
Other Punctuation 43
 
1.1%
Connector Punctuation 4
 
0.1%
Dash Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
어 209
 
7.4%
헤 199
 
7.1%
이 91
 
3.2%
미 76
 
2.7%
스 70
 
2.5%
용 64
 
2.3%
리 61
 
2.2%
일 49
 
1.7%
네 48
 
1.7%
실 48
 
1.7%
Other values (389) 1906
67.6%
Uppercase Letter
ValueCountFrequency (%)
A 25
 
9.5%
N 21
 
8.0%
R 21
 
8.0%
O 19
 
7.2%
I 18
 
6.8%
B 18
 
6.8%
E 17
 
6.5%
L 15
 
5.7%
M 15
 
5.7%
T 15
 
5.7%
Other values (16) 79
30.0%
Lowercase Letter
ValueCountFrequency (%)
a 35
12.6%
i 32
11.5%
e 26
 
9.4%
o 22
 
7.9%
r 17
 
6.1%
n 17
 
6.1%
l 17
 
6.1%
h 16
 
5.8%
y 16
 
5.8%
t 14
 
5.0%
Other values (14) 66
23.7%
Other Punctuation
ValueCountFrequency (%)
. 17
39.5%
# 7
16.3%
& 7
16.3%
, 5
 
11.6%
: 4
 
9.3%
' 2
 
4.7%
; 1
 
2.3%
Decimal Number
ValueCountFrequency (%)
1 17
30.4%
2 13
23.2%
5 11
19.6%
0 5
 
8.9%
3 4
 
7.1%
6 4
 
7.1%
4 2
 
3.6%
Space Separator
ValueCountFrequency (%)
196
100.0%
Close Punctuation
ValueCountFrequency (%)
) 61
100.0%
Open Punctuation
ValueCountFrequency (%)
( 61
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 4
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2819
74.5%
Latin 540
 
14.3%
Common 422
 
11.2%
Han 2
 
0.1%
Cyrillic 1
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
어 209
 
7.4%
헤 199
 
7.1%
이 91
 
3.2%
미 76
 
2.7%
스 70
 
2.5%
용 64
 
2.3%
리 61
 
2.2%
일 49
 
1.7%
네 48
 
1.7%
실 48
 
1.7%
Other values (387) 1904
67.5%
Latin
ValueCountFrequency (%)
a 35
 
6.5%
i 32
 
5.9%
e 26
 
4.8%
A 25
 
4.6%
o 22
 
4.1%
N 21
 
3.9%
R 21
 
3.9%
O 19
 
3.5%
I 18
 
3.3%
B 18
 
3.3%
Other values (39) 303
56.1%
Common
ValueCountFrequency (%)
196
46.4%
) 61
 
14.5%
( 61
 
14.5%
. 17
 
4.0%
1 17
 
4.0%
2 13
 
3.1%
5 11
 
2.6%
# 7
 
1.7%
& 7
 
1.7%
, 5
 
1.2%
Other values (9) 27
 
6.4%
Han
ValueCountFrequency (%)
人 1
50.0%
美 1
50.0%
Cyrillic
ValueCountFrequency (%)
Ъ 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2819
74.5%
ASCII 962
 
25.4%
CJK 2
 
0.1%
Cyrillic 1
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
어 209
 
7.4%
헤 199
 
7.1%
이 91
 
3.2%
미 76
 
2.7%
스 70
 
2.5%
용 64
 
2.3%
리 61
 
2.2%
일 49
 
1.7%
네 48
 
1.7%
실 48
 
1.7%
Other values (387) 1904
67.5%
ASCII
ValueCountFrequency (%)
196
20.4%
) 61
 
6.3%
( 61
 
6.3%
a 35
 
3.6%
i 32
 
3.3%
e 26
 
2.7%
A 25
 
2.6%
o 22
 
2.3%
N 21
 
2.2%
R 21
 
2.2%
Other values (58) 462
48.0%
CJK
ValueCountFrequency (%)
人 1
50.0%
美 1
50.0%
Cyrillic
ValueCountFrequency (%)
Ъ 1
100.0%

영업소 주소(도로명)
Text

Distinct572
Distinct (%)97.4%
Missing0
Missing (%)0.0%
Memory size4.7 KiB
2023-12-12T20:34:38.841698image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length57
Median length50
Mean length29.72402
Min length20

Characters and Unicode

Total characters17448
Distinct characters195
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

Unique558 ?
Unique (%)95.1%

Sample

1st row광주광역시 동구 지호로 5 (동명동)
2nd row광주광역시 동구 경양로259번길 24 (계림동,(1층))
3rd row광주광역시 동구 백서로 122 (학동,(1층))
4th row광주광역시 동구 제봉로82번길 9 (서석동,(1층))
5th row광주광역시 동구 동계로12번길 2 (동명동)
ValueCountFrequency (%)
광주광역시 587
 
16.4%
동구 587
 
16.4%
1층 223
 
6.2%
2층 107
 
3.0%
계림동 74
 
2.1%
산수동 72
 
2.0%
학동 66
 
1.8%
지산동 42
 
1.2%
동명동 39
 
1.1%
3층 35
 
1.0%
Other values (714) 1751
48.9%
2023-12-12T20:34:39.714394image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2996
17.2%
동 1265
 
7.3%
광 1193
 
6.8%
1 892
 
5.1%
로 667
 
3.8%
) 651
 
3.7%
( 651
 
3.7%
구 604
 
3.5%
주 601
 
3.4%
시 593
 
3.4%
Other values (185) 7335
42.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 9400
53.9%
Space Separator 2996
 
17.2%
Decimal Number 2976
 
17.1%
Close Punctuation 651
 
3.7%
Open Punctuation 651
 
3.7%
Other Punctuation 543
 
3.1%
Dash Punctuation 215
 
1.2%
Uppercase Letter 12
 
0.1%
Math Symbol 4
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 1265
13.5%
광 1193
 
12.7%
로 667
 
7.1%
구 604
 
6.4%
주 601
 
6.4%
시 593
 
6.3%
역 587
 
6.2%
층 463
 
4.9%
길 231
 
2.5%
번 201
 
2.1%
Other values (162) 2995
31.9%
Decimal Number
ValueCountFrequency (%)
1 892
30.0%
2 511
17.2%
3 334
 
11.2%
4 230
 
7.7%
0 204
 
6.9%
6 197
 
6.6%
5 195
 
6.6%
7 180
 
6.0%
8 119
 
4.0%
9 114
 
3.8%
Uppercase Letter
ValueCountFrequency (%)
A 3
25.0%
B 2
16.7%
S 2
16.7%
K 2
16.7%
J 1
 
8.3%
C 1
 
8.3%
F 1
 
8.3%
Space Separator
ValueCountFrequency (%)
2996
100.0%
Close Punctuation
ValueCountFrequency (%)
) 651
100.0%
Open Punctuation
ValueCountFrequency (%)
( 651
100.0%
Other Punctuation
ValueCountFrequency (%)
, 543
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 215
100.0%
Math Symbol
ValueCountFrequency (%)
~ 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 9400
53.9%
Common 8036
46.1%
Latin 12
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 1265
13.5%
광 1193
 
12.7%
로 667
 
7.1%
구 604
 
6.4%
주 601
 
6.4%
시 593
 
6.3%
역 587
 
6.2%
층 463
 
4.9%
길 231
 
2.5%
번 201
 
2.1%
Other values (162) 2995
31.9%
Common
ValueCountFrequency (%)
2996
37.3%
1 892
 
11.1%
) 651
 
8.1%
( 651
 
8.1%
, 543
 
6.8%
2 511
 
6.4%
3 334
 
4.2%
4 230
 
2.9%
- 215
 
2.7%
0 204
 
2.5%
Other values (6) 809
 
10.1%
Latin
ValueCountFrequency (%)
A 3
25.0%
B 2
16.7%
S 2
16.7%
K 2
16.7%
J 1
 
8.3%
C 1
 
8.3%
F 1
 
8.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 9400
53.9%
ASCII 8048
46.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2996
37.2%
1 892
 
11.1%
) 651
 
8.1%
( 651
 
8.1%
, 543
 
6.7%
2 511
 
6.3%
3 334
 
4.2%
4 230
 
2.9%
- 215
 
2.7%
0 204
 
2.5%
Other values (13) 821
 
10.2%
Hangul
ValueCountFrequency (%)
동 1265
13.5%
광 1193
 
12.7%
로 667
 
7.1%
구 604
 
6.4%
주 601
 
6.4%
시 593
 
6.3%
역 587
 
6.2%
층 463
 
4.9%
길 231
 
2.5%
번 201
 
2.1%
Other values (162) 2995
31.9%

영업소 주소(지번)
Text

Distinct579
Distinct (%)98.6%
Missing0
Missing (%)0.0%
Memory size4.7 KiB
2023-12-12T20:34:40.107774image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length47
Median length41
Mean length23.521295
Min length15

Characters and Unicode

Total characters13807
Distinct characters193
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

Unique571 ?
Unique (%)97.3%

Sample

1st row광주광역시 동구 동명동 108
2nd row광주광역시 동구 계림동 284-29 (1층)
3rd row광주광역시 동구 학동 142 (1층)
4th row광주광역시 동구 서석동 43-8 (1층)
5th row광주광역시 동구 동명동 207-83
ValueCountFrequency (%)
광주광역시 587
19.6%
동구 587
19.6%
1층 202
 
6.7%
2층 87
 
2.9%
계림동 84
 
2.8%
산수동 81
 
2.7%
학동 73
 
2.4%
지산동 51
 
1.7%
동명동 41
 
1.4%
황금동 29
 
1.0%
Other values (703) 1177
39.2%
2023-12-12T20:34:40.813329image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2948
21.4%
동 1194
 
8.6%
광 1192
 
8.6%
1 781
 
5.7%
주 600
 
4.3%
시 591
 
4.3%
구 590
 
4.3%
역 587
 
4.3%
- 474
 
3.4%
2 448
 
3.2%
Other values (183) 4402
31.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 7065
51.2%
Decimal Number 3000
21.7%
Space Separator 2948
21.4%
Dash Punctuation 474
 
3.4%
Close Punctuation 112
 
0.8%
Open Punctuation 111
 
0.8%
Other Punctuation 85
 
0.6%
Uppercase Letter 9
 
0.1%
Math Symbol 3
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 1194
16.9%
광 1192
16.9%
주 600
 
8.5%
시 591
 
8.4%
구 590
 
8.4%
역 587
 
8.3%
층 358
 
5.1%
산 169
 
2.4%
로 101
 
1.4%
림 100
 
1.4%
Other values (159) 1583
22.4%
Decimal Number
ValueCountFrequency (%)
1 781
26.0%
2 448
14.9%
3 313
10.4%
5 311
 
10.4%
0 226
 
7.5%
6 217
 
7.2%
7 211
 
7.0%
4 187
 
6.2%
8 165
 
5.5%
9 141
 
4.7%
Uppercase Letter
ValueCountFrequency (%)
S 2
22.2%
K 2
22.2%
J 1
11.1%
C 1
11.1%
A 1
11.1%
B 1
11.1%
F 1
11.1%
Other Punctuation
ValueCountFrequency (%)
, 84
98.8%
/ 1
 
1.2%
Space Separator
ValueCountFrequency (%)
2948
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 474
100.0%
Close Punctuation
ValueCountFrequency (%)
) 112
100.0%
Open Punctuation
ValueCountFrequency (%)
( 111
100.0%
Math Symbol
ValueCountFrequency (%)
~ 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 7065
51.2%
Common 6733
48.8%
Latin 9
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 1194
16.9%
광 1192
16.9%
주 600
 
8.5%
시 591
 
8.4%
구 590
 
8.4%
역 587
 
8.3%
층 358
 
5.1%
산 169
 
2.4%
로 101
 
1.4%
림 100
 
1.4%
Other values (159) 1583
22.4%
Common
ValueCountFrequency (%)
2948
43.8%
1 781
 
11.6%
- 474
 
7.0%
2 448
 
6.7%
3 313
 
4.6%
5 311
 
4.6%
0 226
 
3.4%
6 217
 
3.2%
7 211
 
3.1%
4 187
 
2.8%
Other values (7) 617
 
9.2%
Latin
ValueCountFrequency (%)
S 2
22.2%
K 2
22.2%
J 1
11.1%
C 1
11.1%
A 1
11.1%
B 1
11.1%
F 1
11.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 7065
51.2%
ASCII 6742
48.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2948
43.7%
1 781
 
11.6%
- 474
 
7.0%
2 448
 
6.6%
3 313
 
4.6%
5 311
 
4.6%
0 226
 
3.4%
6 217
 
3.2%
7 211
 
3.1%
4 187
 
2.8%
Other values (14) 626
 
9.3%
Hangul
ValueCountFrequency (%)
동 1194
16.9%
광 1192
16.9%
주 600
 
8.5%
시 591
 
8.4%
구 590
 
8.4%
역 587
 
8.3%
층 358
 
5.1%
산 169
 
2.4%
로 101
 
1.4%
림 100
 
1.4%
Other values (159) 1583
22.4%

소재지전화
Text

MISSING 

Distinct333
Distinct (%)98.2%
Missing248
Missing (%)42.2%
Memory size4.7 KiB
2023-12-12T20:34:41.264199image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length12.014749
Min length12

Characters and Unicode

Total characters4073
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

Unique331 ?
Unique (%)97.6%

Sample

1st row062-223-6493
2nd row062-223-9691
3rd row062-223-4107
4th row062-225-3138
5th row062-227-8787
ValueCountFrequency (%)
062-228-9988 5
 
1.5%
062-228-0011 3
 
0.9%
062-470-8843 1
 
0.3%
062-268-1888 1
 
0.3%
062-223-9491 1
 
0.3%
062-225-4121 1
 
0.3%
062-222-4410 1
 
0.3%
062-228-8347 1
 
0.3%
062-234-6929 1
 
0.3%
062-471-4232 1
 
0.3%
Other values (323) 323
95.3%
2023-12-12T20:34:41.978737image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 1079
26.5%
- 678
16.6%
6 543
13.3%
0 521
12.8%
3 265
 
6.5%
5 195
 
4.8%
4 192
 
4.7%
1 186
 
4.6%
8 159
 
3.9%
7 146
 
3.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 3395
83.4%
Dash Punctuation 678
 
16.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 1079
31.8%
6 543
16.0%
0 521
15.3%
3 265
 
7.8%
5 195
 
5.7%
4 192
 
5.7%
1 186
 
5.5%
8 159
 
4.7%
7 146
 
4.3%
9 109
 
3.2%
Dash Punctuation
ValueCountFrequency (%)
- 678
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 4073
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
2 1079
26.5%
- 678
16.6%
6 543
13.3%
0 521
12.8%
3 265
 
6.5%
5 195
 
4.8%
4 192
 
4.7%
1 186
 
4.6%
8 159
 
3.9%
7 146
 
3.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 4073
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 1079
26.5%
- 678
16.6%
6 543
13.3%
0 521
12.8%
3 265
 
6.5%
5 195
 
4.8%
4 192
 
4.7%
1 186
 
4.6%
8 159
 
3.9%
7 146
 
3.6%

비고
Categorical

HIGH CORRELATION 

Distinct2
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size4.7 KiB
<NA>
339 
연락처 데이터 미집계
248 

Length

Max length11
Median length4
Mean length6.9574106
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row연락처 데이터 미집계

Common Values

ValueCountFrequency (%)
<NA> 339
57.8%
연락처 데이터 미집계 248
42.2%

Length

2023-12-12T20:34:42.268587image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T20:34:42.478613image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 339
31.3%
연락처 248
22.9%
데이터 248
22.9%
미집계 248
22.9%

데이터 기준일자
Date

CONSTANT 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size4.7 KiB
Minimum2023-10-27 00:00:00
Maximum2023-10-27 00:00:00
2023-12-12T20:34:42.632987image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T20:34:42.827276image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Correlations

2023-12-12T20:34:42.972866image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
업종명
업종명1.000
2023-12-12T20:34:43.125112image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
비고업종명
비고1.0001.000
업종명1.0001.000
2023-12-12T20:34:43.282200image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
업종명비고
업종명1.0001.000
비고1.0001.000

Missing values

2023-12-12T20:34:35.397156image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T20:34:35.619724image/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

업종명신고일자업소명영업소 주소(도로명)영업소 주소(지번)소재지전화비고데이터 기준일자
0이용업1963-09-02관동광주광역시 동구 지호로 5 (동명동)광주광역시 동구 동명동 108062-223-6493<NA>2023-10-27
1이용업1963-07-05동아광주광역시 동구 경양로259번길 24 (계림동,(1층))광주광역시 동구 계림동 284-29 (1층)062-223-9691<NA>2023-10-27
2이용업1964-10-16대흥광주광역시 동구 백서로 122 (학동,(1층))광주광역시 동구 학동 142 (1층)062-223-4107<NA>2023-10-27
3이용업1969-02-26서석이용원광주광역시 동구 제봉로82번길 9 (서석동,(1층))광주광역시 동구 서석동 43-8 (1층)062-225-3138<NA>2023-10-27
4이용업1971-02-10태양광주광역시 동구 동계로12번길 2 (동명동)광주광역시 동구 동명동 207-83<NA>연락처 데이터 미집계2023-10-27
5이용업1971-09-27수정광주광역시 동구 남문로 762 (학동)광주광역시 동구 학동 38-12062-227-8787<NA>2023-10-27
6이용업1973-01-18만수이용원광주광역시 동구 제봉로200번길 7 (대인동,(2층))광주광역시 동구 대인동 311-12 (2층)062-222-5383<NA>2023-10-27
7이용업1974-08-26산장광주광역시 동구 무등로 483-4 (산수동,(1층))광주광역시 동구 산수동 526-58 (1층)062-261-9211<NA>2023-10-27
8이용업1976-01-13중앙초등교구내이발관광주광역시 동구 제봉로 167 (궁동)광주광역시 동구 궁동 6-2<NA>연락처 데이터 미집계2023-10-27
9이용업1976-02-05장수광주광역시 동구 필문대로187번길 17 (산수동)광주광역시 동구 산수동 525-16062-234-8324<NA>2023-10-27
업종명신고일자업소명영업소 주소(도로명)영업소 주소(지번)소재지전화비고데이터 기준일자
577피부미용업, 네일미용업, 화장ㆍ분장 미용업2012-05-11메이수뷰티광주광역시 동구 금남로 161-42, 2층 (금남로5가)광주광역시 동구 금남로5가 74-5062-222-4142<NA>2023-10-27
578피부미용업, 네일미용업, 화장ㆍ분장 미용업2017-03-06다옴토탈뷰티광주광역시 동구 서석로 51, 2층 (금남로1가)광주광역시 동구 금남로1가 15-11 2층<NA>연락처 데이터 미집계2023-10-27
579피부미용업, 네일미용업, 화장ㆍ분장 미용업2017-02-15우앤리광주광역시 동구 경양로 234, 119동 2층 815호 (계림동, 광주 그랜드센트럴)광주광역시 동구 계림동 591-9 광주 그랜드센트럴 2층 119동 815호062-956-8212<NA>2023-10-27
580피부미용업, 네일미용업, 화장ㆍ분장 미용업2018-05-02카라네일샵광주광역시 동구 필문대로 172, 1층 (산수동)광주광역시 동구 산수동 540-16062-512-4104<NA>2023-10-27
581피부미용업, 네일미용업, 화장ㆍ분장 미용업2018-11-02어썸네일 뷰티클래스광주광역시 동구 충장로 77-7, 3층 (충장로3가)광주광역시 동구 충장로3가 14-2 3층<NA>연락처 데이터 미집계2023-10-27
582피부미용업, 네일미용업, 화장ㆍ분장 미용업2019-03-20어도러블광주광역시 동구 문화전당로35번길 35-1, 1층 (금동)광주광역시 동구 금동 47-7 1층<NA>연락처 데이터 미집계2023-10-27
583피부미용업, 네일미용업, 화장ㆍ분장 미용업2020-09-23NB네일&뷰티광주광역시 동구 밤실로90번길 2, 1층 (산수동)광주광역시 동구 산수동 49-14 1층 우측점포062-716-8283<NA>2023-10-27
584피부미용업, 네일미용업, 화장ㆍ분장 미용업2020-11-05네일슈(NAIL CHOU)광주광역시 동구 경양로 234, 108동 2층 423호 (계림동, 광주 그랜드센트럴)광주광역시 동구 계림동 591-9 광주 그랜드센트럴 2층 108동 423호<NA>연락처 데이터 미집계2023-10-27
585피부미용업, 네일미용업, 화장ㆍ분장 미용업2021-09-02쏘뷰티광주광역시 동구 제봉로 74, 1층 (서석동)광주광역시 동구 서석동 89-1 ,지상 1층<NA>연락처 데이터 미집계2023-10-27
586피부미용업, 네일미용업, 화장ㆍ분장 미용업2022-06-08킴스광주광역시 동구 충장로안길 9, 3층 (충장로3가)광주광역시 동구 충장로3가 38-6 ,3층<NA>연락처 데이터 미집계2023-10-27