Overview

Dataset statistics

Number of variables44
Number of observations543
Missing cells6021
Missing cells (%)25.2%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory200.0 KiB
Average record size in memory377.2 B

Variable types

Categorical19
Text7
DateTime4
Unsupported9
Numeric4
Boolean1

Dataset

Description개방자치단체코드,관리번호,인허가일자,인허가취소일자,영업상태코드,영업상태명,상세영업상태코드,상세영업상태명,폐업일자,휴업시작일자,휴업종료일자,재개업일자,전화번호,소재지면적,소재지우편번호,지번주소,도로명주소,도로명우편번호,사업장명,최종수정일자,데이터갱신구분,데이터갱신일자,업태구분명,좌표정보(X),좌표정보(Y),위생업태명,남성종사자수,여성종사자수,영업장주변구분명,등급구분명,급수시설구분명,총인원,본사종업원수,공장사무직종업원수,공장판매직종업원수,공장생산직종업원수,건물소유구분명,보증액,월세액,다중이용업소여부,시설총규모,전통업소지정번호,전통업소주된음식,홈페이지
Author송파구
URLhttps://data.seoul.go.kr/dataList/OA-18075/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
업태구분명 has constant value ""Constant
다중이용업소여부 has constant value ""Constant
남성종사자수 is highly imbalanced (64.1%)Imbalance
여성종사자수 is highly imbalanced (64.1%)Imbalance
급수시설구분명 is highly imbalanced (88.9%)Imbalance
총인원 is highly imbalanced (69.9%)Imbalance
본사종업원수 is highly imbalanced (70.9%)Imbalance
공장사무직종업원수 is highly imbalanced (70.9%)Imbalance
공장판매직종업원수 is highly imbalanced (71.4%)Imbalance
보증액 is highly imbalanced (68.9%)Imbalance
월세액 is highly imbalanced (61.9%)Imbalance
인허가취소일자 has 543 (100.0%) missing valuesMissing
폐업일자 has 256 (47.1%) missing valuesMissing
휴업시작일자 has 543 (100.0%) missing valuesMissing
휴업종료일자 has 543 (100.0%) missing valuesMissing
재개업일자 has 543 (100.0%) missing valuesMissing
전화번호 has 279 (51.4%) missing valuesMissing
소재지면적 has 93 (17.1%) missing valuesMissing
도로명주소 has 43 (7.9%) missing valuesMissing
도로명우편번호 has 45 (8.3%) missing valuesMissing
좌표정보(X) has 40 (7.4%) missing valuesMissing
좌표정보(Y) has 40 (7.4%) missing valuesMissing
영업장주변구분명 has 543 (100.0%) missing valuesMissing
등급구분명 has 543 (100.0%) missing valuesMissing
다중이용업소여부 has 169 (31.1%) missing valuesMissing
시설총규모 has 169 (31.1%) missing valuesMissing
전통업소지정번호 has 543 (100.0%) missing valuesMissing
전통업소주된음식 has 543 (100.0%) missing valuesMissing
홈페이지 has 543 (100.0%) missing valuesMissing
관리번호 has unique valuesUnique
인허가취소일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
휴업시작일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
휴업종료일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
재개업일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
영업장주변구분명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
등급구분명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
전통업소지정번호 is an unsupported type, check if it needs cleaning or further analysisUnsupported
전통업소주된음식 is an unsupported type, check if it needs cleaning or further analysisUnsupported
홈페이지 is an unsupported type, check if it needs cleaning or further analysisUnsupported
시설총규모 has 367 (67.6%) zerosZeros

Reproduction

Analysis started2024-04-29 19:35:14.965927
Analysis finished2024-04-29 19:35:16.049095
Duration1.08 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size4.4 KiB
3230000
543 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3230000
2nd row3230000
3rd row3230000
4th row3230000
5th row3230000

Common Values

ValueCountFrequency (%)
3230000 543
100.0%

Length

2024-04-30T04:35:16.113722image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:35:16.185149image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3230000 543
100.0%

관리번호
Text

UNIQUE 

Distinct543
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size4.4 KiB
2024-04-30T04:35:16.325471image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length22
Median length22
Mean length22
Min length22

Characters and Unicode

Total characters11946
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

Unique543 ?
Unique (%)100.0%

Sample

1st row3230000-135-2004-00001
2nd row3230000-135-2004-00002
3rd row3230000-135-2004-00003
4th row3230000-135-2004-00004
5th row3230000-135-2004-00005
ValueCountFrequency (%)
3230000-135-2004-00001 1
 
0.2%
3230000-135-2020-00008 1
 
0.2%
3230000-135-2020-00005 1
 
0.2%
3230000-135-2020-00004 1
 
0.2%
3230000-135-2020-00003 1
 
0.2%
3230000-135-2020-00002 1
 
0.2%
3230000-135-2020-00001 1
 
0.2%
3230000-135-2019-00038 1
 
0.2%
3230000-135-2019-00037 1
 
0.2%
3230000-135-2019-00036 1
 
0.2%
Other values (533) 533
98.2%
2024-04-30T04:35:16.599322image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 4724
39.5%
3 1819
 
15.2%
- 1629
 
13.6%
2 1494
 
12.5%
1 1105
 
9.2%
5 649
 
5.4%
4 141
 
1.2%
8 102
 
0.9%
9 99
 
0.8%
6 96
 
0.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 10317
86.4%
Dash Punctuation 1629
 
13.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 4724
45.8%
3 1819
 
17.6%
2 1494
 
14.5%
1 1105
 
10.7%
5 649
 
6.3%
4 141
 
1.4%
8 102
 
1.0%
9 99
 
1.0%
6 96
 
0.9%
7 88
 
0.9%
Dash Punctuation
ValueCountFrequency (%)
- 1629
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 11946
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 4724
39.5%
3 1819
 
15.2%
- 1629
 
13.6%
2 1494
 
12.5%
1 1105
 
9.2%
5 649
 
5.4%
4 141
 
1.2%
8 102
 
0.9%
9 99
 
0.8%
6 96
 
0.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 11946
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 4724
39.5%
3 1819
 
15.2%
- 1629
 
13.6%
2 1494
 
12.5%
1 1105
 
9.2%
5 649
 
5.4%
4 141
 
1.2%
8 102
 
0.9%
9 99
 
0.8%
6 96
 
0.8%
Distinct497
Distinct (%)91.5%
Missing0
Missing (%)0.0%
Memory size4.4 KiB
Minimum2004-04-08 00:00:00
Maximum2024-04-12 00:00:00
2024-04-30T04:35:16.715699image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T04:35:16.834513image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing543
Missing (%)100.0%
Memory size4.9 KiB
Distinct2
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size4.4 KiB
3
287 
1
256 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3
2nd row3
3rd row3
4th row3
5th row3

Common Values

ValueCountFrequency (%)
3 287
52.9%
1 256
47.1%

Length

2024-04-30T04:35:16.940212image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:35:17.020802image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 287
52.9%
1 256
47.1%

영업상태명
Categorical

Distinct2
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size4.4 KiB
폐업
287 
영업/정상
256 

Length

Max length5
Median length2
Mean length3.4143646
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 287
52.9%
영업/정상 256
47.1%

Length

2024-04-30T04:35:17.111531image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:35:17.193555image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 287
52.9%
영업/정상 256
47.1%
Distinct2
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size4.4 KiB
2
287 
1
256 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2
2nd row2
3rd row2
4th row2
5th row2

Common Values

ValueCountFrequency (%)
2 287
52.9%
1 256
47.1%

Length

2024-04-30T04:35:17.276915image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:35:17.350453image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2 287
52.9%
1 256
47.1%
Distinct2
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size4.4 KiB
폐업
287 
영업
256 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 287
52.9%
영업 256
47.1%

Length

2024-04-30T04:35:17.428600image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:35:17.501111image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 287
52.9%
영업 256
47.1%

폐업일자
Date

MISSING 

Distinct220
Distinct (%)76.7%
Missing256
Missing (%)47.1%
Memory size4.4 KiB
Minimum2005-01-14 00:00:00
Maximum2024-04-25 00:00:00
2024-04-30T04:35:17.579786image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T04:35:17.711516image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing543
Missing (%)100.0%
Memory size4.9 KiB

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing543
Missing (%)100.0%
Memory size4.9 KiB

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing543
Missing (%)100.0%
Memory size4.9 KiB

전화번호
Text

MISSING 

Distinct249
Distinct (%)94.3%
Missing279
Missing (%)51.4%
Memory size4.4 KiB
2024-04-30T04:35:17.954367image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length11.484848
Min length7

Characters and Unicode

Total characters3032
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

Unique237 ?
Unique (%)89.8%

Sample

1st row02 4010083
2nd row64152002
3rd row02 4155005
4th row02415 3101
5th row02424 3377
ValueCountFrequency (%)
02 181
30.5%
070 40
 
6.7%
412 5
 
0.8%
3339 4
 
0.7%
543 4
 
0.7%
031 4
 
0.7%
430 4
 
0.7%
416 3
 
0.5%
418 3
 
0.5%
419 3
 
0.5%
Other values (311) 343
57.7%
2024-04-30T04:35:18.353031image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 572
18.9%
480
15.8%
2 436
14.4%
4 277
9.1%
1 219
 
7.2%
7 206
 
6.8%
3 199
 
6.6%
5 188
 
6.2%
8 175
 
5.8%
6 165
 
5.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2552
84.2%
Space Separator 480
 
15.8%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 572
22.4%
2 436
17.1%
4 277
10.9%
1 219
 
8.6%
7 206
 
8.1%
3 199
 
7.8%
5 188
 
7.4%
8 175
 
6.9%
6 165
 
6.5%
9 115
 
4.5%
Space Separator
ValueCountFrequency (%)
480
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 3032
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 572
18.9%
480
15.8%
2 436
14.4%
4 277
9.1%
1 219
 
7.2%
7 206
 
6.8%
3 199
 
6.6%
5 188
 
6.2%
8 175
 
5.8%
6 165
 
5.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3032
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 572
18.9%
480
15.8%
2 436
14.4%
4 277
9.1%
1 219
 
7.2%
7 206
 
6.8%
3 199
 
6.6%
5 188
 
6.2%
8 175
 
5.8%
6 165
 
5.4%

소재지면적
Text

MISSING 

Distinct295
Distinct (%)65.6%
Missing93
Missing (%)17.1%
Memory size4.4 KiB
2024-04-30T04:35:18.625369image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length10
Median length5
Mean length5.0288889
Min length3

Characters and Unicode

Total characters2263
Distinct characters12
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

Unique244 ?
Unique (%)54.2%

Sample

1st row72.00
2nd row120.00
3rd row22.20
4th row197.28
5th row450.00
ValueCountFrequency (%)
3.30 34
 
7.6%
33.00 14
 
3.1%
15.00 10
 
2.2%
10.00 8
 
1.8%
00 8
 
1.8%
20.00 7
 
1.6%
30.00 6
 
1.3%
50.00 6
 
1.3%
6.60 5
 
1.1%
2.00 5
 
1.1%
Other values (285) 347
77.1%
2024-04-30T04:35:18.989774image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 547
24.2%
. 450
19.9%
3 243
10.7%
2 190
 
8.4%
1 182
 
8.0%
6 145
 
6.4%
5 123
 
5.4%
4 105
 
4.6%
8 102
 
4.5%
9 100
 
4.4%
Other values (2) 76
 
3.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1810
80.0%
Other Punctuation 453
 
20.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 547
30.2%
3 243
13.4%
2 190
 
10.5%
1 182
 
10.1%
6 145
 
8.0%
5 123
 
6.8%
4 105
 
5.8%
8 102
 
5.6%
9 100
 
5.5%
7 73
 
4.0%
Other Punctuation
ValueCountFrequency (%)
. 450
99.3%
, 3
 
0.7%

Most occurring scripts

ValueCountFrequency (%)
Common 2263
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 547
24.2%
. 450
19.9%
3 243
10.7%
2 190
 
8.4%
1 182
 
8.0%
6 145
 
6.4%
5 123
 
5.4%
4 105
 
4.6%
8 102
 
4.5%
9 100
 
4.4%
Other values (2) 76
 
3.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2263
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 547
24.2%
. 450
19.9%
3 243
10.7%
2 190
 
8.4%
1 182
 
8.0%
6 145
 
6.4%
5 123
 
5.4%
4 105
 
4.6%
8 102
 
4.5%
9 100
 
4.4%
Other values (2) 76
 
3.4%
Distinct129
Distinct (%)23.8%
Missing0
Missing (%)0.0%
Memory size4.4 KiB
2024-04-30T04:35:19.208104image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length6
Mean length6.213628
Min length6

Characters and Unicode

Total characters3374
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

Unique50 ?
Unique (%)9.2%

Sample

1st row138200
2nd row138715
3rd row138837
4th row138934
5th row138834
ValueCountFrequency (%)
138888 64
 
11.8%
138-888 21
 
3.9%
138960 20
 
3.7%
138934 17
 
3.1%
138861 15
 
2.8%
138827 14
 
2.6%
138200 13
 
2.4%
138828 13
 
2.4%
138803 12
 
2.2%
138-960 11
 
2.0%
Other values (119) 343
63.2%
2024-04-30T04:35:19.557126image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
8 1172
34.7%
3 653
19.4%
1 631
18.7%
0 183
 
5.4%
- 116
 
3.4%
2 116
 
3.4%
4 113
 
3.3%
6 111
 
3.3%
9 105
 
3.1%
7 92
 
2.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 3258
96.6%
Dash Punctuation 116
 
3.4%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
8 1172
36.0%
3 653
20.0%
1 631
19.4%
0 183
 
5.6%
2 116
 
3.6%
4 113
 
3.5%
6 111
 
3.4%
9 105
 
3.2%
7 92
 
2.8%
5 82
 
2.5%
Dash Punctuation
ValueCountFrequency (%)
- 116
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 3374
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
8 1172
34.7%
3 653
19.4%
1 631
18.7%
0 183
 
5.4%
- 116
 
3.4%
2 116
 
3.4%
4 113
 
3.3%
6 111
 
3.3%
9 105
 
3.1%
7 92
 
2.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3374
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
8 1172
34.7%
3 653
19.4%
1 631
18.7%
0 183
 
5.4%
- 116
 
3.4%
2 116
 
3.4%
4 113
 
3.3%
6 111
 
3.3%
9 105
 
3.1%
7 92
 
2.7%
Distinct398
Distinct (%)73.3%
Missing0
Missing (%)0.0%
Memory size4.4 KiB
2024-04-30T04:35:19.746681image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length43
Median length36
Mean length26.524862
Min length16

Characters and Unicode

Total characters14403
Distinct characters253
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique319 ?
Unique (%)58.7%

Sample

1st row서울특별시 송파구 문정동 ***-*번지 이주빌딩 ***호
2nd row서울특별시 송파구 가락동 **-*번지 제일오피스텔 ***호
3rd row서울특별시 송파구 삼전동 **-*번지
4th row서울특별시 송파구 신천동 *-**번지 현대타워 ***호
5th row서울특별시 송파구 방이동 ***-*번지 대양 코리아나빌딩 *층
ValueCountFrequency (%)
서울특별시 543
19.5%
송파구 542
19.5%
번지 282
10.1%
266
9.6%
문정동 153
 
5.5%
가락동 117
 
4.2%
방이동 80
 
2.9%
69
 
2.5%
잠실동 59
 
2.1%
56
 
2.0%
Other values (256) 612
22.0%
2024-04-30T04:35:20.062899image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2570
17.8%
* 2262
15.7%
676
 
4.7%
609
 
4.2%
573
 
4.0%
567
 
3.9%
546
 
3.8%
544
 
3.8%
543
 
3.8%
543
 
3.8%
Other values (243) 4970
34.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 9062
62.9%
Space Separator 2570
 
17.8%
Other Punctuation 2275
 
15.8%
Dash Punctuation 403
 
2.8%
Uppercase Letter 70
 
0.5%
Decimal Number 19
 
0.1%
Open Punctuation 2
 
< 0.1%
Close Punctuation 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
676
 
7.5%
609
 
6.7%
573
 
6.3%
567
 
6.3%
546
 
6.0%
544
 
6.0%
543
 
6.0%
543
 
6.0%
543
 
6.0%
356
 
3.9%
Other values (212) 3562
39.3%
Uppercase Letter
ValueCountFrequency (%)
C 10
14.3%
A 7
10.0%
T 6
 
8.6%
B 6
 
8.6%
J 5
 
7.1%
K 5
 
7.1%
E 4
 
5.7%
L 4
 
5.7%
Y 3
 
4.3%
O 3
 
4.3%
Other values (8) 17
24.3%
Decimal Number
ValueCountFrequency (%)
2 5
26.3%
1 4
21.1%
6 4
21.1%
3 2
 
10.5%
4 2
 
10.5%
8 2
 
10.5%
Other Punctuation
ValueCountFrequency (%)
* 2262
99.4%
, 12
 
0.5%
/ 1
 
< 0.1%
Space Separator
ValueCountFrequency (%)
2570
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 403
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 9062
62.9%
Common 5271
36.6%
Latin 70
 
0.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
676
 
7.5%
609
 
6.7%
573
 
6.3%
567
 
6.3%
546
 
6.0%
544
 
6.0%
543
 
6.0%
543
 
6.0%
543
 
6.0%
356
 
3.9%
Other values (212) 3562
39.3%
Latin
ValueCountFrequency (%)
C 10
14.3%
A 7
10.0%
T 6
 
8.6%
B 6
 
8.6%
J 5
 
7.1%
K 5
 
7.1%
E 4
 
5.7%
L 4
 
5.7%
Y 3
 
4.3%
O 3
 
4.3%
Other values (8) 17
24.3%
Common
ValueCountFrequency (%)
2570
48.8%
* 2262
42.9%
- 403
 
7.6%
, 12
 
0.2%
2 5
 
0.1%
1 4
 
0.1%
6 4
 
0.1%
3 2
 
< 0.1%
4 2
 
< 0.1%
8 2
 
< 0.1%
Other values (3) 5
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 9062
62.9%
ASCII 5341
37.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2570
48.1%
* 2262
42.4%
- 403
 
7.5%
, 12
 
0.2%
C 10
 
0.2%
A 7
 
0.1%
T 6
 
0.1%
B 6
 
0.1%
2 5
 
0.1%
J 5
 
0.1%
Other values (21) 55
 
1.0%
Hangul
ValueCountFrequency (%)
676
 
7.5%
609
 
6.7%
573
 
6.3%
567
 
6.3%
546
 
6.0%
544
 
6.0%
543
 
6.0%
543
 
6.0%
543
 
6.0%
356
 
3.9%
Other values (212) 3562
39.3%

도로명주소
Text

MISSING 

Distinct446
Distinct (%)89.2%
Missing43
Missing (%)7.9%
Memory size4.4 KiB
2024-04-30T04:35:20.266784image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length62
Median length51
Mean length38.056
Min length25

Characters and Unicode

Total characters19028
Distinct characters270
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

Unique398 ?
Unique (%)79.6%

Sample

1st row서울특별시 송파구 새말로 *** (문정동,이주빌딩 ***호)
2nd row서울특별시 송파구 올림픽로**길 *-** (방이동,지역사회 교육회관 *층)
3rd row서울특별시 송파구 백제고분로*길 ** (잠실동,태원빌딩 ***호)
4th row서울특별시 송파구 백제고분로 *** (방이동)
5th row서울특별시 송파구 백제고분로**길 ** (송파동,미석빌딩 ***호)
ValueCountFrequency (%)
501
13.9%
서울특별시 500
13.9%
송파구 499
13.8%
249
 
6.9%
243
 
6.7%
문정동 144
 
4.0%
가락동 100
 
2.8%
방이동 61
 
1.7%
잠실동 49
 
1.4%
충민로 47
 
1.3%
Other values (377) 1212
33.6%
2024-04-30T04:35:20.618386image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
* 3154
 
16.6%
3108
 
16.3%
705
 
3.7%
649
 
3.4%
, 643
 
3.4%
604
 
3.2%
521
 
2.7%
510
 
2.7%
504
 
2.6%
) 501
 
2.6%
Other values (260) 8129
42.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 10779
56.6%
Other Punctuation 3798
 
20.0%
Space Separator 3108
 
16.3%
Close Punctuation 501
 
2.6%
Open Punctuation 501
 
2.6%
Uppercase Letter 176
 
0.9%
Dash Punctuation 115
 
0.6%
Decimal Number 43
 
0.2%
Lowercase Letter 6
 
< 0.1%
Math Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
705
 
6.5%
649
 
6.0%
604
 
5.6%
521
 
4.8%
510
 
4.7%
504
 
4.7%
500
 
4.6%
500
 
4.6%
500
 
4.6%
500
 
4.6%
Other values (217) 5286
49.0%
Uppercase Letter
ValueCountFrequency (%)
A 32
18.2%
B 27
15.3%
C 23
13.1%
L 16
9.1%
T 14
8.0%
S 10
 
5.7%
G 10
 
5.7%
F 6
 
3.4%
K 5
 
2.8%
E 5
 
2.8%
Other values (11) 28
15.9%
Decimal Number
ValueCountFrequency (%)
1 10
23.3%
2 9
20.9%
0 6
14.0%
5 5
11.6%
8 4
 
9.3%
4 3
 
7.0%
6 2
 
4.7%
7 2
 
4.7%
3 1
 
2.3%
9 1
 
2.3%
Lowercase Letter
ValueCountFrequency (%)
a 2
33.3%
o 2
33.3%
r 1
16.7%
m 1
16.7%
Other Punctuation
ValueCountFrequency (%)
* 3154
83.0%
, 643
 
16.9%
/ 1
 
< 0.1%
Space Separator
ValueCountFrequency (%)
3108
100.0%
Close Punctuation
ValueCountFrequency (%)
) 501
100.0%
Open Punctuation
ValueCountFrequency (%)
( 501
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 115
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 10779
56.6%
Common 8067
42.4%
Latin 182
 
1.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
705
 
6.5%
649
 
6.0%
604
 
5.6%
521
 
4.8%
510
 
4.7%
504
 
4.7%
500
 
4.6%
500
 
4.6%
500
 
4.6%
500
 
4.6%
Other values (217) 5286
49.0%
Latin
ValueCountFrequency (%)
A 32
17.6%
B 27
14.8%
C 23
12.6%
L 16
8.8%
T 14
7.7%
S 10
 
5.5%
G 10
 
5.5%
F 6
 
3.3%
K 5
 
2.7%
E 5
 
2.7%
Other values (15) 34
18.7%
Common
ValueCountFrequency (%)
* 3154
39.1%
3108
38.5%
, 643
 
8.0%
) 501
 
6.2%
( 501
 
6.2%
- 115
 
1.4%
1 10
 
0.1%
2 9
 
0.1%
0 6
 
0.1%
5 5
 
0.1%
Other values (8) 15
 
0.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 10779
56.6%
ASCII 8249
43.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
* 3154
38.2%
3108
37.7%
, 643
 
7.8%
) 501
 
6.1%
( 501
 
6.1%
- 115
 
1.4%
A 32
 
0.4%
B 27
 
0.3%
C 23
 
0.3%
L 16
 
0.2%
Other values (33) 129
 
1.6%
Hangul
ValueCountFrequency (%)
705
 
6.5%
649
 
6.0%
604
 
5.6%
521
 
4.8%
510
 
4.7%
504
 
4.7%
500
 
4.6%
500
 
4.6%
500
 
4.6%
500
 
4.6%
Other values (217) 5286
49.0%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct147
Distinct (%)29.5%
Missing45
Missing (%)8.3%
Infinite0
Infinite (%)0.0%
Mean5701.8876
Minimum5504
Maximum6141
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.9 KiB
2024-04-30T04:35:20.748870image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum5504
5-th percentile5518.5
Q15580.25
median5707.5
Q35834.5
95-th percentile5854
Maximum6141
Range637
Interquartile range (IQR)254.25

Descriptive statistics

Standard deviation118.88213
Coefficient of variation (CV)0.02084961
Kurtosis-1.1271525
Mean5701.8876
Median Absolute Deviation (MAD)127.5
Skewness-0.025428066
Sum2839540
Variance14132.961
MonotonicityNot monotonic
2024-04-30T04:35:20.862351image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
5838 35
 
6.4%
5854 27
 
5.0%
5719 26
 
4.8%
5510 24
 
4.4%
5855 19
 
3.5%
5836 13
 
2.4%
5556 13
 
2.4%
5545 11
 
2.0%
5835 9
 
1.7%
5544 9
 
1.7%
Other values (137) 312
57.5%
(Missing) 45
 
8.3%
ValueCountFrequency (%)
5504 1
 
0.2%
5510 24
4.4%
5520 1
 
0.2%
5526 1
 
0.2%
5537 1
 
0.2%
5542 7
 
1.3%
5543 4
 
0.7%
5544 9
 
1.7%
5545 11
2.0%
5548 7
 
1.3%
ValueCountFrequency (%)
6141 1
 
0.2%
5855 19
3.5%
5854 27
5.0%
5852 1
 
0.2%
5848 1
 
0.2%
5842 1
 
0.2%
5841 9
 
1.7%
5840 5
 
0.9%
5838 35
6.4%
5837 4
 
0.7%
Distinct536
Distinct (%)98.7%
Missing0
Missing (%)0.0%
Memory size4.4 KiB
2024-04-30T04:35:21.040741image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length22
Median length19
Mean length8.2762431
Min length2

Characters and Unicode

Total characters4494
Distinct characters439
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

Unique529 ?
Unique (%)97.4%

Sample

1st row(주)라이코레드코리아
2nd row(주)헤모헬스
3rd row(주)메디넥스
4th row(주)하나팜리드
5th row(주)유니젠
ValueCountFrequency (%)
주식회사 100
 
14.3%
4
 
0.6%
바이오 3
 
0.4%
컴퍼니 3
 
0.4%
미즈코리아 2
 
0.3%
주)휴어스에스 2
 
0.3%
생활건강 2
 
0.3%
헬스케어 2
 
0.3%
잠실점 2
 
0.3%
비오랩 2
 
0.3%
Other values (571) 575
82.5%
2024-04-30T04:35:21.362240image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
386
 
8.6%
) 300
 
6.7%
( 296
 
6.6%
203
 
4.5%
155
 
3.4%
145
 
3.2%
119
 
2.6%
109
 
2.4%
108
 
2.4%
95
 
2.1%
Other values (429) 2578
57.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3576
79.6%
Close Punctuation 300
 
6.7%
Open Punctuation 296
 
6.6%
Space Separator 155
 
3.4%
Uppercase Letter 75
 
1.7%
Lowercase Letter 74
 
1.6%
Decimal Number 13
 
0.3%
Other Punctuation 4
 
0.1%
Dash Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
386
 
10.8%
203
 
5.7%
145
 
4.1%
119
 
3.3%
109
 
3.0%
108
 
3.0%
95
 
2.7%
77
 
2.2%
67
 
1.9%
63
 
1.8%
Other values (374) 2204
61.6%
Uppercase Letter
ValueCountFrequency (%)
T 7
 
9.3%
S 7
 
9.3%
I 5
 
6.7%
G 5
 
6.7%
B 5
 
6.7%
N 4
 
5.3%
D 4
 
5.3%
M 4
 
5.3%
C 3
 
4.0%
O 3
 
4.0%
Other values (15) 28
37.3%
Lowercase Letter
ValueCountFrequency (%)
e 10
13.5%
a 9
12.2%
n 7
 
9.5%
i 6
 
8.1%
c 5
 
6.8%
o 5
 
6.8%
m 4
 
5.4%
l 4
 
5.4%
r 3
 
4.1%
y 3
 
4.1%
Other values (9) 18
24.3%
Decimal Number
ValueCountFrequency (%)
1 5
38.5%
0 4
30.8%
3 2
 
15.4%
2 1
 
7.7%
5 1
 
7.7%
Other Punctuation
ValueCountFrequency (%)
. 2
50.0%
& 2
50.0%
Close Punctuation
ValueCountFrequency (%)
) 300
100.0%
Open Punctuation
ValueCountFrequency (%)
( 296
100.0%
Space Separator
ValueCountFrequency (%)
155
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3576
79.6%
Common 769
 
17.1%
Latin 149
 
3.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
386
 
10.8%
203
 
5.7%
145
 
4.1%
119
 
3.3%
109
 
3.0%
108
 
3.0%
95
 
2.7%
77
 
2.2%
67
 
1.9%
63
 
1.8%
Other values (374) 2204
61.6%
Latin
ValueCountFrequency (%)
e 10
 
6.7%
a 9
 
6.0%
T 7
 
4.7%
S 7
 
4.7%
n 7
 
4.7%
i 6
 
4.0%
c 5
 
3.4%
I 5
 
3.4%
G 5
 
3.4%
B 5
 
3.4%
Other values (34) 83
55.7%
Common
ValueCountFrequency (%)
) 300
39.0%
( 296
38.5%
155
20.2%
1 5
 
0.7%
0 4
 
0.5%
3 2
 
0.3%
. 2
 
0.3%
& 2
 
0.3%
2 1
 
0.1%
- 1
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3576
79.6%
ASCII 918
 
20.4%

Most frequent character per block

Hangul
ValueCountFrequency (%)
386
 
10.8%
203
 
5.7%
145
 
4.1%
119
 
3.3%
109
 
3.0%
108
 
3.0%
95
 
2.7%
77
 
2.2%
67
 
1.9%
63
 
1.8%
Other values (374) 2204
61.6%
ASCII
ValueCountFrequency (%)
) 300
32.7%
( 296
32.2%
155
16.9%
e 10
 
1.1%
a 9
 
1.0%
T 7
 
0.8%
S 7
 
0.8%
n 7
 
0.8%
i 6
 
0.7%
c 5
 
0.5%
Other values (45) 116
 
12.6%
Distinct542
Distinct (%)99.8%
Missing0
Missing (%)0.0%
Memory size4.4 KiB
Minimum2004-06-28 00:00:00
Maximum2024-04-25 16:01:45
2024-04-30T04:35:21.478311image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T04:35:21.771021image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
Distinct2
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size4.4 KiB
I
335 
U
208 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
I 335
61.7%
U 208
38.3%

Length

2024-04-30T04:35:21.877355image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:35:21.965209image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 335
61.7%
u 208
38.3%
Distinct294
Distinct (%)54.1%
Missing0
Missing (%)0.0%
Memory size4.4 KiB
Minimum2018-08-31 23:59:59
Maximum2023-12-04 00:07:00
2024-04-30T04:35:22.051910image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T04:35:22.158444image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업태구분명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size4.4 KiB
건강기능식품유통전문판매업
543 

Length

Max length13
Median length13
Mean length13
Min length13

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
건강기능식품유통전문판매업 543
100.0%

Length

2024-04-30T04:35:22.258657image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:35:22.329512image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
건강기능식품유통전문판매업 543
100.0%

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct294
Distinct (%)58.4%
Missing40
Missing (%)7.4%
Infinite0
Infinite (%)0.0%
Mean210009.64
Minimum203325.74
Maximum213712.18
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.9 KiB
2024-04-30T04:35:22.411844image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum203325.74
5-th percentile207045.61
Q1209289.31
median210398
Q3210951.65
95-th percentile211998.58
Maximum213712.18
Range10386.438
Interquartile range (IQR)1662.3485

Descriptive statistics

Standard deviation1402.4641
Coefficient of variation (CV)0.0066780938
Kurtosis1.1257168
Mean210009.64
Median Absolute Deviation (MAD)672.18469
Skewness-0.58647828
Sum1.0563485 × 108
Variance1966905.5
MonotonicityNot monotonic
2024-04-30T04:35:22.519586image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
210986.460698452 33
 
6.1%
210431.832858016 19
 
3.5%
210627.0 9
 
1.7%
209140.885315651 8
 
1.5%
209790.959909032 7
 
1.3%
210516.191915095 6
 
1.1%
209427.410217251 6
 
1.1%
210480.282018702 5
 
0.9%
209035.875632195 5
 
0.9%
210558.0 5
 
0.9%
Other values (284) 400
73.7%
(Missing) 40
 
7.4%
ValueCountFrequency (%)
203325.738052218 1
 
0.2%
206707.093888179 1
 
0.2%
206802.873762097 1
 
0.2%
206908.348523164 4
0.7%
206916.75835 3
0.6%
206932.357872339 1
 
0.2%
206941.757489986 3
0.6%
206946.479745429 3
0.6%
206990.437277713 3
0.6%
206990.685929503 1
 
0.2%
ValueCountFrequency (%)
213712.175713909 2
0.4%
213607.036557078 1
0.2%
213468.096258992 1
0.2%
213296.311829204 1
0.2%
213247.196130934 1
0.2%
213230.07687298 1
0.2%
213199.012090172 1
0.2%
213163.179133873 1
0.2%
212981.012010611 1
0.2%
212947.518523685 2
0.4%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct294
Distinct (%)58.4%
Missing40
Missing (%)7.4%
Infinite0
Infinite (%)0.0%
Mean444210.39
Minimum441406.98
Maximum448112.53
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.9 KiB
2024-04-30T04:35:22.631086image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum441406.98
5-th percentile441725.29
Q1443374.68
median444307.53
Q3445429.47
95-th percentile446042.59
Maximum448112.53
Range6705.5504
Interquartile range (IQR)2054.7867

Descriptive statistics

Standard deviation1386.5552
Coefficient of variation (CV)0.0031213929
Kurtosis-0.83780153
Mean444210.39
Median Absolute Deviation (MAD)1085.8029
Skewness-0.23797387
Sum2.2343783 × 108
Variance1922535.2
MonotonicityNot monotonic
2024-04-30T04:35:22.754285image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
441725.293491662 33
 
6.1%
443465.4592322 19
 
3.5%
442875.0 9
 
1.7%
446042.592367722 8
 
1.5%
443481.212174317 7
 
1.3%
441996.227705236 6
 
1.1%
445829.725943441 6
 
1.1%
441833.16323518 5
 
0.9%
445898.643365404 5
 
0.9%
442587.0 5
 
0.9%
Other values (284) 400
73.7%
(Missing) 40
 
7.4%
ValueCountFrequency (%)
441406.981434166 1
 
0.2%
441446.0 1
 
0.2%
441725.293491662 33
6.1%
441833.16323518 5
 
0.9%
441898.492187301 1
 
0.2%
441971.271264751 2
 
0.4%
441996.227705236 6
 
1.1%
442015.231257754 1
 
0.2%
442026.988783 2
 
0.4%
442053.227933005 4
 
0.7%
ValueCountFrequency (%)
448112.531784759 1
 
0.2%
447923.921905555 1
 
0.2%
447808.901703515 1
 
0.2%
447214.905374231 1
 
0.2%
446299.352775446 1
 
0.2%
446201.867636819 2
0.4%
446156.529775445 2
0.4%
446087.944327019 1
 
0.2%
446085.121305444 3
0.6%
446083.728440268 3
0.6%

위생업태명
Categorical

Distinct2
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size4.4 KiB
건강기능식품유통전문판매업
374 
<NA>
169 

Length

Max length13
Median length13
Mean length10.198895
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
건강기능식품유통전문판매업 374
68.9%
<NA> 169
31.1%

Length

2024-04-30T04:35:22.879867image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:35:22.961622image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
건강기능식품유통전문판매업 374
68.9%
na 169
31.1%

남성종사자수
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size4.4 KiB
<NA>
506 
0
 
37

Length

Max length4
Median length4
Mean length3.7955801
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row0
5th row0

Common Values

ValueCountFrequency (%)
<NA> 506
93.2%
0 37
 
6.8%

Length

2024-04-30T04:35:23.067515image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:35:23.163568image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 506
93.2%
0 37
 
6.8%

여성종사자수
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size4.4 KiB
<NA>
506 
0
 
37

Length

Max length4
Median length4
Mean length3.7955801
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row0
5th row0

Common Values

ValueCountFrequency (%)
<NA> 506
93.2%
0 37
 
6.8%

Length

2024-04-30T04:35:23.247605image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:35:23.330403image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 506
93.2%
0 37
 
6.8%

영업장주변구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing543
Missing (%)100.0%
Memory size4.9 KiB

등급구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing543
Missing (%)100.0%
Memory size4.9 KiB

급수시설구분명
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size4.4 KiB
<NA>
535 
상수도전용
 
8

Length

Max length5
Median length4
Mean length4.014733
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 535
98.5%
상수도전용 8
 
1.5%

Length

2024-04-30T04:35:23.422205image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:35:23.495016image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 535
98.5%
상수도전용 8
 
1.5%

총인원
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size4.4 KiB
<NA>
514 
0
 
29

Length

Max length4
Median length4
Mean length3.839779
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 514
94.7%
0 29
 
5.3%

Length

2024-04-30T04:35:23.576976image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:35:23.652583image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 514
94.7%
0 29
 
5.3%

본사종업원수
Categorical

IMBALANCE 

Distinct6
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Memory size4.4 KiB
<NA>
445 
0
93 
3
 
2
2
 
1
5
 
1

Length

Max length4
Median length4
Mean length3.4604052
Min length1

Unique

Unique3 ?
Unique (%)0.6%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
<NA> 445
82.0%
0 93
 
17.1%
3 2
 
0.4%
2 1
 
0.2%
5 1
 
0.2%
10 1
 
0.2%

Length

2024-04-30T04:35:23.734392image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:35:23.833014image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 445
82.0%
0 93
 
17.1%
3 2
 
0.4%
2 1
 
0.2%
5 1
 
0.2%
10 1
 
0.2%

공장사무직종업원수
Categorical

IMBALANCE 

Distinct6
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Memory size4.4 KiB
<NA>
445 
0
93 
1
 
2
5
 
1
3
 
1

Length

Max length4
Median length4
Mean length3.4585635
Min length1

Unique

Unique3 ?
Unique (%)0.6%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
<NA> 445
82.0%
0 93
 
17.1%
1 2
 
0.4%
5 1
 
0.2%
3 1
 
0.2%
2 1
 
0.2%

Length

2024-04-30T04:35:23.929297image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:35:24.037168image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 445
82.0%
0 93
 
17.1%
1 2
 
0.4%
5 1
 
0.2%
3 1
 
0.2%
2 1
 
0.2%

공장판매직종업원수
Categorical

IMBALANCE 

Distinct6
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Memory size4.4 KiB
<NA>
448 
0
90 
6
 
2
10
 
1
2
 
1

Length

Max length4
Median length4
Mean length3.4769797
Min length1

Unique

Unique3 ?
Unique (%)0.6%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
<NA> 448
82.5%
0 90
 
16.6%
6 2
 
0.4%
10 1
 
0.2%
2 1
 
0.2%
1 1
 
0.2%

Length

2024-04-30T04:35:24.143521image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:35:24.232489image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 448
82.5%
0 90
 
16.6%
6 2
 
0.4%
10 1
 
0.2%
2 1
 
0.2%
1 1
 
0.2%
Distinct2
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size4.4 KiB
<NA>
449 
0
94 

Length

Max length4
Median length4
Mean length3.480663
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
<NA> 449
82.7%
0 94
 
17.3%

Length

2024-04-30T04:35:24.334632image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:35:24.412076image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 449
82.7%
0 94
 
17.3%
Distinct3
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size4.4 KiB
<NA>
260 
임대
154 
자가
129 

Length

Max length4
Median length2
Mean length2.9576427
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row<NA>
2nd row자가
3rd row자가
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 260
47.9%
임대 154
28.4%
자가 129
23.8%

Length

2024-04-30T04:35:24.498457image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:35:24.584650image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 260
47.9%
임대 154
28.4%
자가 129
23.8%

보증액
Categorical

IMBALANCE 

Distinct4
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size4.4 KiB
<NA>
465 
0
76 
4000000
 
1
30000000
 
1

Length

Max length8
Median length4
Mean length3.5930018
Min length1

Unique

Unique2 ?
Unique (%)0.4%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 465
85.6%
0 76
 
14.0%
4000000 1
 
0.2%
30000000 1
 
0.2%

Length

2024-04-30T04:35:24.673743image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:35:24.761237image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 465
85.6%
0 76
 
14.0%
4000000 1
 
0.2%
30000000 1
 
0.2%

월세액
Categorical

IMBALANCE 

Distinct3
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size4.4 KiB
<NA>
466 
0
76 
200000
 
1

Length

Max length6
Median length4
Mean length3.5837937
Min length1

Unique

Unique1 ?
Unique (%)0.2%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 466
85.8%
0 76
 
14.0%
200000 1
 
0.2%

Length

2024-04-30T04:35:24.843505image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:35:24.923040image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 466
85.8%
0 76
 
14.0%
200000 1
 
0.2%

다중이용업소여부
Boolean

CONSTANT  MISSING 

Distinct1
Distinct (%)0.3%
Missing169
Missing (%)31.1%
Memory size1.2 KiB
False
374 
(Missing)
169 
ValueCountFrequency (%)
False 374
68.9%
(Missing) 169
31.1%
2024-04-30T04:35:24.987612image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

시설총규모
Real number (ℝ)

MISSING  ZEROS 

Distinct8
Distinct (%)2.1%
Missing169
Missing (%)31.1%
Infinite0
Infinite (%)0.0%
Mean2.1493316
Minimum0
Maximum475.97
Zeros367
Zeros (%)67.6%
Negative0
Negative (%)0.0%
Memory size4.9 KiB
2024-04-30T04:35:25.048732image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum475.97
Range475.97
Interquartile range (IQR)0

Descriptive statistics

Standard deviation26.162457
Coefficient of variation (CV)12.172369
Kurtosis292.37856
Mean2.1493316
Median Absolute Deviation (MAD)0
Skewness16.499257
Sum803.85
Variance684.47416
MonotonicityNot monotonic
2024-04-30T04:35:25.132607image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
0.0 367
67.6%
23.4 1
 
0.2%
138.18 1
 
0.2%
3.0 1
 
0.2%
82.5 1
 
0.2%
60.0 1
 
0.2%
475.97 1
 
0.2%
20.8 1
 
0.2%
(Missing) 169
31.1%
ValueCountFrequency (%)
0.0 367
67.6%
3.0 1
 
0.2%
20.8 1
 
0.2%
23.4 1
 
0.2%
60.0 1
 
0.2%
82.5 1
 
0.2%
138.18 1
 
0.2%
475.97 1
 
0.2%
ValueCountFrequency (%)
475.97 1
 
0.2%
138.18 1
 
0.2%
82.5 1
 
0.2%
60.0 1
 
0.2%
23.4 1
 
0.2%
20.8 1
 
0.2%
3.0 1
 
0.2%
0.0 367
67.6%

전통업소지정번호
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing543
Missing (%)100.0%
Memory size4.9 KiB

전통업소주된음식
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing543
Missing (%)100.0%
Memory size4.9 KiB

홈페이지
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing543
Missing (%)100.0%
Memory size4.9 KiB

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)위생업태명남성종사자수여성종사자수영업장주변구분명등급구분명급수시설구분명총인원본사종업원수공장사무직종업원수공장판매직종업원수공장생산직종업원수건물소유구분명보증액월세액다중이용업소여부시설총규모전통업소지정번호전통업소주된음식홈페이지
032300003230000-135-2004-0000120040408<NA>3폐업2폐업20170607<NA><NA><NA>02 401008372.00138200서울특별시 송파구 문정동 ***-*번지 이주빌딩 ***호서울특별시 송파구 새말로 *** (문정동,이주빌딩 ***호)5801(주)라이코레드코리아2017-06-07 09:55:42I2018-08-31 23:59:59.0건강기능식품유통전문판매업211544.923593442594.5808건강기능식품유통전문판매업<NA><NA><NA><NA><NA><NA>0000<NA><NA><NA>N0.0<NA><NA><NA>
132300003230000-135-2004-0000220040430<NA>3폐업2폐업20120116<NA><NA><NA><NA>120.00138715서울특별시 송파구 가락동 **-*번지 제일오피스텔 ***호<NA><NA>(주)헤모헬스2012-02-20 16:15:48I2018-08-31 23:59:59.0건강기능식품유통전문판매업210431.832858443465.459232건강기능식품유통전문판매업<NA><NA><NA><NA><NA><NA>0000자가<NA><NA>N0.0<NA><NA><NA>
232300003230000-135-2004-0000320040602<NA>3폐업2폐업20050225<NA><NA><NA><NA>22.20138837서울특별시 송파구 삼전동 **-*번지<NA><NA>(주)메디넥스2004-12-21 00:00:00I2018-08-31 23:59:59.0건강기능식품유통전문판매업208168.056327444967.444845건강기능식품유통전문판매업<NA><NA><NA><NA><NA><NA>0000자가<NA><NA>N0.0<NA><NA><NA>
332300003230000-135-2004-0000420040608<NA>3폐업2폐업20111230<NA><NA><NA>64152002<NA>138934서울특별시 송파구 신천동 *-**번지 현대타워 ***호<NA><NA>(주)하나팜리드2012-02-20 16:35:32I2018-08-31 23:59:59.0건강기능식품유통전문판매업208992.217213445885.719952건강기능식품유통전문판매업00<NA><NA><NA><NA>0000<NA><NA><NA>N0.0<NA><NA><NA>
432300003230000-135-2004-0000520040617<NA>3폐업2폐업20060203<NA><NA><NA>02 4155005197.28138834서울특별시 송파구 방이동 ***-*번지 대양 코리아나빌딩 *층<NA><NA>(주)유니젠2006-02-03 00:00:00I2018-08-31 23:59:59.0건강기능식품유통전문판매업210906.964989445637.158326건강기능식품유통전문판매업00<NA><NA><NA><NA>0000<NA><NA><NA>N0.0<NA><NA><NA>
532300003230000-135-2004-0000620040624<NA>3폐업2폐업20170607<NA><NA><NA>02415 3101450.00138827서울특별시 송파구 방이동 **-*번지 지역사회 교육회관 *층서울특별시 송파구 올림픽로**길 *-** (방이동,지역사회 교육회관 *층)5544(주)지와이인텍2017-06-07 13:53:17I2018-08-31 23:59:59.0건강기능식품유통전문판매업209839.061124446046.238584건강기능식품유통전문판매업<NA><NA><NA><NA><NA><NA>0000자가<NA><NA>N0.0<NA><NA><NA>
632300003230000-135-2004-0000720040628<NA>3폐업2폐업20141031<NA><NA><NA>02424 337730.00138862서울특별시 송파구 잠실동 ***-*번지 태원빌딩 ***호서울특별시 송파구 백제고분로*길 ** (잠실동,태원빌딩 ***호)5561(주)동충하초2004-06-28 00:00:00I2018-08-31 23:59:59.0건강기능식품유통전문판매업207041.476517445344.568937건강기능식품유통전문판매업<NA><NA><NA><NA><NA><NA>0000자가<NA><NA>N0.0<NA><NA><NA>
732300003230000-135-2004-0000820040702<NA>3폐업2폐업20120116<NA><NA><NA>02 4123133325.00138840서울특별시 송파구 삼전동 ***-*번지 인터불고빌딩*층<NA><NA>게놈시스(주)2012-02-20 16:19:09I2018-08-31 23:59:59.0건강기능식품유통전문판매업208507.506303444876.425571건강기능식품유통전문판매업<NA><NA><NA><NA><NA><NA>0000자가00N0.0<NA><NA><NA>
832300003230000-135-2004-0001020040705<NA>3폐업2폐업20170607<NA><NA><NA>02 4152409115.70138830서울특별시 송파구 방이동 ***-*번지서울특별시 송파구 백제고분로 *** (방이동)5641(주)이레플랙스2017-06-07 13:55:27I2018-08-31 23:59:59.0건강기능식품유통전문판매업209907.169703445400.882484건강기능식품유통전문판매업<NA><NA><NA><NA><NA><NA>0000자가00N0.0<NA><NA><NA>
932300003230000-135-2004-0001120040705<NA>3폐업2폐업20120116<NA><NA><NA><NA>315.48138934서울특별시 송파구 신천동 *-**번지 향군회관 별관*층<NA><NA>(주)아미가코리아2012-02-20 16:22:36I2018-08-31 23:59:59.0건강기능식품유통전문판매업208808.460095446014.471916건강기능식품유통전문판매업<NA><NA><NA><NA><NA><NA>0000<NA><NA><NA>N0.0<NA><NA><NA>
개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)위생업태명남성종사자수여성종사자수영업장주변구분명등급구분명급수시설구분명총인원본사종업원수공장사무직종업원수공장판매직종업원수공장생산직종업원수건물소유구분명보증액월세액다중이용업소여부시설총규모전통업소지정번호전통업소주된음식홈페이지
53332300003230000-135-2023-000312023-12-19<NA>1영업/정상1영업<NA><NA><NA><NA><NA><NA>138-839서울특별시 송파구 삼전동 **-*서울특별시 송파구 백제고분로**길 **-*, *층 ***호 (삼전동)5605어스2023-12-19 11:02:21I2022-11-01 22:01:00.0건강기능식품유통전문판매업208149.83727444730.731079<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
53432300003230000-135-2023-000322023-12-22<NA>1영업/정상1영업<NA><NA><NA><NA><NA>107.17138-828서울특별시 송파구 방이동 **-* 세기빌딩서울특별시 송파구 오금로 ***, 세기빌딩 ***호 (방이동)5548소울드림 주식회사2023-12-22 17:23:54I2022-11-01 22:04:00.0건강기능식품유통전문판매업209496.859211445600.046916<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
53532300003230000-135-2023-000332023-12-28<NA>1영업/정상1영업<NA><NA><NA><NA>02 573 7900<NA>138-827서울특별시 송파구 방이동 **-* 에스-타워서울특별시 송파구 위례성대로 **, 에스-타워 *층 (방이동)5544뷰카 (Vuca)2023-12-28 16:09:51I2022-11-01 21:00:00.0건강기능식품유통전문판매업209966.124551446059.613892<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
53632300003230000-135-2023-000342023-02-28<NA>1영업/정상1영업<NA><NA><NA><NA><NA>2.20138-827서울특별시 송파구 방이동 **-* 혜성빌딩서울특별시 송파구 올림픽로**길 **, 혜성빌딩 *층 V**호 (방이동)5543닥터블릿헬스케어 주식회사2024-04-19 11:04:43I2023-12-03 22:01:00.0건강기능식품유통전문판매업209586.717063445879.674157<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
53732300003230000-135-2024-000012024-01-08<NA>1영업/정상1영업<NA><NA><NA><NA><NA><NA>138-819서울특별시 송파구 마천동 ***-*서울특별시 송파구 마천로**길 **, **호 (마천동)5752주식회사 솔비타2024-01-08 15:23:13I2023-11-30 23:00:00.0건강기능식품유통전문판매업213247.196131444020.568495<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
53832300003230000-135-2024-000022024-01-12<NA>1영업/정상1영업<NA><NA><NA><NA><NA><NA>138-800서울특별시 송파구 가락동 **-* 대명빌딩서울특별시 송파구 중대로 ***, 대명빌딩 *층 ***호 엠***호 (가락동)5702주식회사 마스터맨션2024-01-12 16:36:17I2023-11-30 23:04:00.0건강기능식품유통전문판매업211108.961742444263.057029<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
53932300003230000-135-2024-000032024-01-30<NA>1영업/정상1영업<NA><NA><NA><NA><NA>83.52138-888서울특별시 송파구 문정동 *** 에이치비지니스파크서울특별시 송파구 법원로**길 **, 에이치비지니스파크 *층 A***호 (문정동)5836주식회사 비경옵티멈2024-01-30 15:47:25I2023-12-02 00:01:00.0건강기능식품유통전문판매업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
54032300003230000-135-2024-000042024-02-05<NA>1영업/정상1영업<NA><NA><NA><NA><NA><NA>138-846서울특별시 송파구 석촌동 ***-* 석촌꽃마을빌딩서울특별시 송파구 가락로 ***, 석촌꽃마을빌딩 ***-*호 (석촌동)5696친정아빠건강식품2024-02-05 10:24:37I2023-12-02 00:07:00.0건강기능식품유통전문판매업209416.462513444307.531174<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
54132300003230000-135-2024-000052024-03-07<NA>1영업/정상1영업<NA><NA><NA><NA><NA><NA>138-858서울특별시 송파구 오금동 ***서울특별시 송파구 마천로 ***, *층 (오금동)5730주식회사 푸드앤픽2024-03-07 11:21:43I2023-12-03 00:09:00.0건강기능식품유통전문판매업212227.561847444581.610975<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
54232300003230000-135-2024-000062024-04-12<NA>1영업/정상1영업<NA><NA><NA><NA><NA>37.63138-888서울특별시 송파구 문정동 ***-** 파트너스*서울특별시 송파구 법원로 **, 파트너스* ***호 (문정동)5855주식회사 이너뷰티원2024-04-12 11:41:12I2023-12-03 23:04:00.0건강기능식품유통전문판매업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>