Overview

Dataset statistics

Number of variables44
Number of observations2436
Missing cells21846
Missing cells (%)20.4%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory894.6 KiB
Average record size in memory376.1 B

Variable types

Categorical21
Text6
DateTime4
Unsupported7
Numeric5
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
Author용산구
URLhttps://data.seoul.go.kr/dataList/OA-18429/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
업태구분명 is highly imbalanced (75.5%)Imbalance
남성종사자수 is highly imbalanced (76.5%)Imbalance
여성종사자수 is highly imbalanced (76.4%)Imbalance
영업장주변구분명 is highly imbalanced (84.5%)Imbalance
등급구분명 is highly imbalanced (80.7%)Imbalance
총인원 is highly imbalanced (67.1%)Imbalance
공장판매직종업원수 is highly imbalanced (60.9%)Imbalance
공장생산직종업원수 is highly imbalanced (67.1%)Imbalance
보증액 is highly imbalanced (52.1%)Imbalance
월세액 is highly imbalanced (52.1%)Imbalance
다중이용업소여부 is highly imbalanced (99.3%)Imbalance
인허가취소일자 has 2436 (100.0%) missing valuesMissing
폐업일자 has 478 (19.6%) missing valuesMissing
휴업시작일자 has 2436 (100.0%) missing valuesMissing
휴업종료일자 has 2436 (100.0%) missing valuesMissing
재개업일자 has 2436 (100.0%) missing valuesMissing
전화번호 has 1472 (60.4%) missing valuesMissing
소재지면적 has 765 (31.4%) missing valuesMissing
도로명주소 has 360 (14.8%) missing valuesMissing
도로명우편번호 has 373 (15.3%) missing valuesMissing
좌표정보(X) has 25 (1.0%) missing valuesMissing
좌표정보(Y) has 25 (1.0%) missing valuesMissing
다중이용업소여부 has 642 (26.4%) missing valuesMissing
시설총규모 has 642 (26.4%) missing valuesMissing
전통업소지정번호 has 2436 (100.0%) missing valuesMissing
전통업소주된음식 has 2436 (100.0%) missing valuesMissing
홈페이지 has 2436 (100.0%) missing valuesMissing
도로명우편번호 is highly skewed (γ1 = 45.36802922)Skewed
좌표정보(X) is highly skewed (γ1 = 42.21520937)Skewed
좌표정보(Y) is highly skewed (γ1 = -47.58677832)Skewed
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
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
소재지면적 has 426 (17.5%) zerosZeros
시설총규모 has 1726 (70.9%) zerosZeros

Reproduction

Analysis started2024-04-29 19:43:07.675973
Analysis finished2024-04-29 19:43:08.999540
Duration1.32 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size19.2 KiB
3020000
2436 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3020000
2nd row3020000
3rd row3020000
4th row3020000
5th row3020000

Common Values

ValueCountFrequency (%)
3020000 2436
100.0%

Length

2024-04-30T04:43:09.070269image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:43:09.158467image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3020000 2436
100.0%

관리번호
Text

UNIQUE 

Distinct2436
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size19.2 KiB
2024-04-30T04:43:09.299309image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length22
Median length22
Mean length22
Min length22

Characters and Unicode

Total characters53592
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

Unique2436 ?
Unique (%)100.0%

Sample

1st row3020000-107-1972-00155
2nd row3020000-107-1972-00261
3rd row3020000-107-1975-00375
4th row3020000-107-1975-00376
5th row3020000-107-1981-00001
ValueCountFrequency (%)
3020000-107-1972-00155 1
 
< 0.1%
3020000-107-2020-00247 1
 
< 0.1%
3020000-107-2020-00256 1
 
< 0.1%
3020000-107-2020-00241 1
 
< 0.1%
3020000-107-2020-00242 1
 
< 0.1%
3020000-107-2020-00243 1
 
< 0.1%
3020000-107-2020-00244 1
 
< 0.1%
3020000-107-2020-00245 1
 
< 0.1%
3020000-107-2020-00246 1
 
< 0.1%
3020000-107-2020-00249 1
 
< 0.1%
Other values (2426) 2426
99.6%
2024-04-30T04:43:09.607447image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 24471
45.7%
- 7308
 
13.6%
2 6861
 
12.8%
1 5170
 
9.6%
3 3325
 
6.2%
7 3077
 
5.7%
9 907
 
1.7%
6 663
 
1.2%
4 656
 
1.2%
8 638
 
1.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 46284
86.4%
Dash Punctuation 7308
 
13.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 24471
52.9%
2 6861
 
14.8%
1 5170
 
11.2%
3 3325
 
7.2%
7 3077
 
6.6%
9 907
 
2.0%
6 663
 
1.4%
4 656
 
1.4%
8 638
 
1.4%
5 516
 
1.1%
Dash Punctuation
ValueCountFrequency (%)
- 7308
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 53592
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 24471
45.7%
- 7308
 
13.6%
2 6861
 
12.8%
1 5170
 
9.6%
3 3325
 
6.2%
7 3077
 
5.7%
9 907
 
1.7%
6 663
 
1.2%
4 656
 
1.2%
8 638
 
1.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 53592
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 24471
45.7%
- 7308
 
13.6%
2 6861
 
12.8%
1 5170
 
9.6%
3 3325
 
6.2%
7 3077
 
5.7%
9 907
 
1.7%
6 663
 
1.2%
4 656
 
1.2%
8 638
 
1.2%

인허가일자
Date

Distinct1737
Distinct (%)71.3%
Missing0
Missing (%)0.0%
Memory size19.2 KiB
Minimum1972-04-04 00:00:00
Maximum2024-04-23 00:00:00
2024-04-30T04:43:09.812802image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T04:43:10.028342image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2436
Missing (%)100.0%
Memory size21.5 KiB

영업상태코드
Categorical

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size19.2 KiB
3
1958 
1
478 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3
2nd row3
3rd row1
4th row1
5th row1

Common Values

ValueCountFrequency (%)
3 1958
80.4%
1 478
 
19.6%

Length

2024-04-30T04:43:10.234910image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:43:10.341654image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 1958
80.4%
1 478
 
19.6%

영업상태명
Categorical

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size19.2 KiB
폐업
1958 
영업/정상
478 

Length

Max length5
Median length2
Mean length2.58867
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row폐업
2nd row폐업
3rd row영업/정상
4th row영업/정상
5th row영업/정상

Common Values

ValueCountFrequency (%)
폐업 1958
80.4%
영업/정상 478
 
19.6%

Length

2024-04-30T04:43:10.426366image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:43:10.509414image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 1958
80.4%
영업/정상 478
 
19.6%

상세영업상태코드
Categorical

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size19.2 KiB
2
1958 
1
478 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2
2nd row2
3rd row1
4th row1
5th row1

Common Values

ValueCountFrequency (%)
2 1958
80.4%
1 478
 
19.6%

Length

2024-04-30T04:43:10.596569image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:43:10.668837image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2 1958
80.4%
1 478
 
19.6%

상세영업상태명
Categorical

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size19.2 KiB
폐업
1958 
영업
478 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 1958
80.4%
영업 478
 
19.6%

Length

2024-04-30T04:43:10.751319image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:43:10.824033image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 1958
80.4%
영업 478
 
19.6%

폐업일자
Date

MISSING 

Distinct1428
Distinct (%)72.9%
Missing478
Missing (%)19.6%
Memory size19.2 KiB
Minimum1996-10-21 00:00:00
Maximum2024-04-23 00:00:00
2024-04-30T04:43:10.920448image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T04:43:11.022479image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2436
Missing (%)100.0%
Memory size21.5 KiB

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2436
Missing (%)100.0%
Memory size21.5 KiB

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2436
Missing (%)100.0%
Memory size21.5 KiB

전화번호
Text

MISSING 

Distinct703
Distinct (%)72.9%
Missing1472
Missing (%)60.4%
Memory size19.2 KiB
2024-04-30T04:43:11.254906image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length11
Mean length10.495851
Min length2

Characters and Unicode

Total characters10118
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

Unique631 ?
Unique (%)65.5%

Sample

1st row02 7976374
2nd row02 7958986
3rd row0207936681
4th row02 7935181
5th row02 7955760
ValueCountFrequency (%)
02 553
28.8%
031 116
 
6.0%
062 38
 
2.0%
070 34
 
1.8%
055 30
 
1.6%
8581226 17
 
0.9%
0220121234 15
 
0.8%
529 11
 
0.6%
1741 11
 
0.6%
032 11
 
0.6%
Other values (793) 1087
56.5%
2024-04-30T04:43:11.614267image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 1766
17.5%
2 1512
14.9%
7 1132
11.2%
1116
11.0%
1 837
8.3%
3 750
7.4%
5 646
 
6.4%
8 644
 
6.4%
9 607
 
6.0%
4 601
 
5.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 9002
89.0%
Space Separator 1116
 
11.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 1766
19.6%
2 1512
16.8%
7 1132
12.6%
1 837
9.3%
3 750
8.3%
5 646
 
7.2%
8 644
 
7.2%
9 607
 
6.7%
4 601
 
6.7%
6 507
 
5.6%
Space Separator
ValueCountFrequency (%)
1116
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 10118
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 1766
17.5%
2 1512
14.9%
7 1132
11.2%
1116
11.0%
1 837
8.3%
3 750
7.4%
5 646
 
6.4%
8 644
 
6.4%
9 607
 
6.0%
4 601
 
5.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 10118
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 1766
17.5%
2 1512
14.9%
7 1132
11.2%
1116
11.0%
1 837
8.3%
3 750
7.4%
5 646
 
6.4%
8 644
 
6.4%
9 607
 
6.0%
4 601
 
5.9%

소재지면적
Real number (ℝ)

MISSING  ZEROS 

Distinct479
Distinct (%)28.7%
Missing765
Missing (%)31.4%
Infinite0
Infinite (%)0.0%
Mean15.035961
Minimum0
Maximum383.64
Zeros426
Zeros (%)17.5%
Negative0
Negative (%)0.0%
Memory size21.5 KiB
2024-04-30T04:43:11.754573image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median8.7
Q322.025
95-th percentile49.5
Maximum383.64
Range383.64
Interquartile range (IQR)22.025

Descriptive statistics

Standard deviation22.145486
Coefficient of variation (CV)1.4728348
Kurtosis63.326827
Mean15.035961
Median Absolute Deviation (MAD)8.7
Skewness5.5685315
Sum25125.09
Variance490.42256
MonotonicityNot monotonic
2024-04-30T04:43:11.874029image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 426
17.5%
3.3 85
 
3.5%
10.0 66
 
2.7%
6.6 61
 
2.5%
6.0 50
 
2.1%
3.0 40
 
1.6%
33.0 27
 
1.1%
9.9 24
 
1.0%
15.0 23
 
0.9%
9.0 22
 
0.9%
Other values (469) 847
34.8%
(Missing) 765
31.4%
ValueCountFrequency (%)
0.0 426
17.5%
1.0 2
 
0.1%
1.1 2
 
0.1%
1.33 2
 
0.1%
1.44 1
 
< 0.1%
1.6 1
 
< 0.1%
1.8 1
 
< 0.1%
2.0 8
 
0.3%
2.16 1
 
< 0.1%
2.24 1
 
< 0.1%
ValueCountFrequency (%)
383.64 1
< 0.1%
241.38 1
< 0.1%
237.5 1
< 0.1%
200.0 1
< 0.1%
140.0 1
< 0.1%
126.18 1
< 0.1%
125.54 1
< 0.1%
118.22 1
< 0.1%
110.0 1
< 0.1%
107.57 1
< 0.1%

소재지우편번호
Text

Distinct183
Distinct (%)7.5%
Missing6
Missing (%)0.2%
Memory size19.2 KiB
2024-04-30T04:43:12.108563image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length6
Mean length6.1806584
Min length6

Characters and Unicode

Total characters15019
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

Unique48 ?
Unique (%)2.0%

Sample

1st row140023
2nd row140160
3rd row140-889
4th row140852
5th row140810
ValueCountFrequency (%)
140780 755
31.1%
140873 206
 
8.5%
140-780 175
 
7.2%
140832 81
 
3.3%
140210 48
 
2.0%
140861 45
 
1.9%
140026 42
 
1.7%
140040 39
 
1.6%
140893 35
 
1.4%
140823 33
 
1.4%
Other values (173) 971
40.0%
2024-04-30T04:43:12.476988image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 3892
25.9%
1 2896
19.3%
4 2599
17.3%
8 2120
14.1%
7 1301
 
8.7%
3 626
 
4.2%
- 439
 
2.9%
2 431
 
2.9%
9 302
 
2.0%
6 275
 
1.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 14580
97.1%
Dash Punctuation 439
 
2.9%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 3892
26.7%
1 2896
19.9%
4 2599
17.8%
8 2120
14.5%
7 1301
 
8.9%
3 626
 
4.3%
2 431
 
3.0%
9 302
 
2.1%
6 275
 
1.9%
5 138
 
0.9%
Dash Punctuation
ValueCountFrequency (%)
- 439
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 15019
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 3892
25.9%
1 2896
19.3%
4 2599
17.3%
8 2120
14.1%
7 1301
 
8.7%
3 626
 
4.2%
- 439
 
2.9%
2 431
 
2.9%
9 302
 
2.0%
6 275
 
1.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 15019
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 3892
25.9%
1 2896
19.3%
4 2599
17.3%
8 2120
14.1%
7 1301
 
8.7%
3 626
 
4.2%
- 439
 
2.9%
2 431
 
2.9%
9 302
 
2.0%
6 275
 
1.8%

지번주소
Text

Distinct1217
Distinct (%)50.1%
Missing6
Missing (%)0.2%
Memory size19.2 KiB
2024-04-30T04:43:12.709589image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length50
Median length42
Mean length26.412346
Min length16

Characters and Unicode

Total characters64182
Distinct characters284
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

Unique1061 ?
Unique (%)43.7%

Sample

1st row서울특별시 용산구 용산동3가 1-66
2nd row서울특별시 용산구 남영동 28-1
3rd row서울특별시 용산구 한남동 107-10
4th row서울특별시 용산구 이촌동 300-10
5th row서울특별시 용산구 동빙고동 28-6
ValueCountFrequency (%)
서울특별시 2429
20.1%
용산구 2429
20.1%
한강로3가 978
 
8.1%
40-999 925
 
7.7%
용산역 457
 
3.8%
한강로2가 266
 
2.2%
15-19 213
 
1.8%
한남동 212
 
1.8%
이태원동 157
 
1.3%
이마트용산점 156
 
1.3%
Other values (1232) 3848
31.9%
2024-04-30T04:43:13.073536image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
11401
17.8%
산 3562
 
5.5%
용 3487
 
5.4%
9 3308
 
5.2%
서 2490
 
3.9%
시 2477
 
3.9%
울 2449
 
3.8%
구 2430
 
3.8%
별 2429
 
3.8%
특 2429
 
3.8%
Other values (274) 27720
43.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 37126
57.8%
Decimal Number 12935
 
20.2%
Space Separator 11401
 
17.8%
Dash Punctuation 2240
 
3.5%
Open Punctuation 195
 
0.3%
Close Punctuation 195
 
0.3%
Uppercase Letter 47
 
0.1%
Other Punctuation 33
 
0.1%
Lowercase Letter 7
 
< 0.1%
Math Symbol 3
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
산 3562
 
9.6%
용 3487
 
9.4%
서 2490
 
6.7%
시 2477
 
6.7%
울 2449
 
6.6%
구 2430
 
6.5%
별 2429
 
6.5%
특 2429
 
6.5%
가 1588
 
4.3%
한 1551
 
4.2%
Other values (237) 12234
33.0%
Uppercase Letter
ValueCountFrequency (%)
B 10
21.3%
C 8
17.0%
D 6
12.8%
H 5
10.6%
G 4
 
8.5%
L 3
 
6.4%
A 2
 
4.3%
K 2
 
4.3%
N 1
 
2.1%
V 1
 
2.1%
Other values (5) 5
10.6%
Decimal Number
ValueCountFrequency (%)
9 3308
25.6%
1 1761
13.6%
3 1674
12.9%
4 1481
11.4%
0 1409
10.9%
2 1374
10.6%
5 624
 
4.8%
6 583
 
4.5%
7 375
 
2.9%
8 346
 
2.7%
Lowercase Letter
ValueCountFrequency (%)
e 3
42.9%
a 2
28.6%
u 1
 
14.3%
m 1
 
14.3%
Other Punctuation
ValueCountFrequency (%)
, 30
90.9%
. 2
 
6.1%
@ 1
 
3.0%
Space Separator
ValueCountFrequency (%)
11401
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2240
100.0%
Open Punctuation
ValueCountFrequency (%)
( 195
100.0%
Close Punctuation
ValueCountFrequency (%)
) 195
100.0%
Math Symbol
ValueCountFrequency (%)
~ 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 37126
57.8%
Common 27002
42.1%
Latin 54
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
산 3562
 
9.6%
용 3487
 
9.4%
서 2490
 
6.7%
시 2477
 
6.7%
울 2449
 
6.6%
구 2430
 
6.5%
별 2429
 
6.5%
특 2429
 
6.5%
가 1588
 
4.3%
한 1551
 
4.2%
Other values (237) 12234
33.0%
Latin
ValueCountFrequency (%)
B 10
18.5%
C 8
14.8%
D 6
11.1%
H 5
9.3%
G 4
 
7.4%
L 3
 
5.6%
e 3
 
5.6%
A 2
 
3.7%
K 2
 
3.7%
a 2
 
3.7%
Other values (9) 9
16.7%
Common
ValueCountFrequency (%)
11401
42.2%
9 3308
 
12.3%
- 2240
 
8.3%
1 1761
 
6.5%
3 1674
 
6.2%
4 1481
 
5.5%
0 1409
 
5.2%
2 1374
 
5.1%
5 624
 
2.3%
6 583
 
2.2%
Other values (8) 1147
 
4.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 37126
57.8%
ASCII 27056
42.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
11401
42.1%
9 3308
 
12.2%
- 2240
 
8.3%
1 1761
 
6.5%
3 1674
 
6.2%
4 1481
 
5.5%
0 1409
 
5.2%
2 1374
 
5.1%
5 624
 
2.3%
6 583
 
2.2%
Other values (27) 1201
 
4.4%
Hangul
ValueCountFrequency (%)
산 3562
 
9.6%
용 3487
 
9.4%
서 2490
 
6.7%
시 2477
 
6.7%
울 2449
 
6.6%
구 2430
 
6.5%
별 2429
 
6.5%
특 2429
 
6.5%
가 1588
 
4.3%
한 1551
 
4.2%
Other values (237) 12234
33.0%

도로명주소
Text

MISSING 

Distinct1179
Distinct (%)56.8%
Missing360
Missing (%)14.8%
Memory size19.2 KiB
2024-04-30T04:43:13.318343image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length65
Median length53
Mean length36.54817
Min length22

Characters and Unicode

Total characters75874
Distinct characters327
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

Unique1028 ?
Unique (%)49.5%

Sample

1st row서울특별시 용산구 독서당로 29, 1층 (한남동)
2nd row서울특별시 용산구 이촌로 290 (이촌동)
3rd row서울특별시 용산구 서빙고로91나길 104 (동빙고동)
4th row서울특별시 용산구 효창원로 268 (서계동)
5th row서울특별시 용산구 만리재로 182-5 (서계동)
ValueCountFrequency (%)
서울특별시 2075
 
14.5%
용산구 2075
 
14.5%
한강로3가 909
 
6.3%
55 844
 
5.9%
한강대로23길 841
 
5.9%
1층 422
 
2.9%
용산역 255
 
1.8%
한강로2가 212
 
1.5%
지하2층 212
 
1.5%
청파로 195
 
1.4%
Other values (1089) 6306
44.0%
2024-04-30T04:43:13.706890image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
12278
 
16.2%
로 3394
 
4.5%
산 3131
 
4.1%
용 3066
 
4.0%
2 2642
 
3.5%
한 2480
 
3.3%
) 2236
 
2.9%
( 2236
 
2.9%
3 2227
 
2.9%
, 2215
 
2.9%
Other values (317) 39969
52.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 45409
59.8%
Space Separator 12278
 
16.2%
Decimal Number 11154
 
14.7%
Close Punctuation 2236
 
2.9%
Open Punctuation 2236
 
2.9%
Other Punctuation 2220
 
2.9%
Dash Punctuation 207
 
0.3%
Uppercase Letter 118
 
0.2%
Lowercase Letter 14
 
< 0.1%
Math Symbol 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
로 3394
 
7.5%
산 3131
 
6.9%
용 3066
 
6.8%
한 2480
 
5.5%
서 2180
 
4.8%
강 2145
 
4.7%
시 2126
 
4.7%
울 2096
 
4.6%
구 2076
 
4.6%
별 2075
 
4.6%
Other values (272) 20640
45.5%
Uppercase Letter
ValueCountFrequency (%)
B 44
37.3%
D 12
 
10.2%
C 11
 
9.3%
A 7
 
5.9%
I 6
 
5.1%
H 6
 
5.1%
L 6
 
5.1%
K 4
 
3.4%
T 4
 
3.4%
G 3
 
2.5%
Other values (8) 15
 
12.7%
Decimal Number
ValueCountFrequency (%)
2 2642
23.7%
3 2227
20.0%
5 2013
18.0%
1 1971
17.7%
4 636
 
5.7%
0 442
 
4.0%
6 399
 
3.6%
7 376
 
3.4%
9 274
 
2.5%
8 174
 
1.6%
Lowercase Letter
ValueCountFrequency (%)
e 3
21.4%
p 2
14.3%
i 2
14.3%
c 2
14.3%
k 2
14.3%
b 1
 
7.1%
m 1
 
7.1%
u 1
 
7.1%
Other Punctuation
ValueCountFrequency (%)
, 2215
99.8%
. 2
 
0.1%
& 2
 
0.1%
@ 1
 
< 0.1%
Space Separator
ValueCountFrequency (%)
12278
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2236
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2236
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 207
100.0%
Math Symbol
ValueCountFrequency (%)
~ 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 45409
59.8%
Common 30333
40.0%
Latin 132
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
로 3394
 
7.5%
산 3131
 
6.9%
용 3066
 
6.8%
한 2480
 
5.5%
서 2180
 
4.8%
강 2145
 
4.7%
시 2126
 
4.7%
울 2096
 
4.6%
구 2076
 
4.6%
별 2075
 
4.6%
Other values (272) 20640
45.5%
Latin
ValueCountFrequency (%)
B 44
33.3%
D 12
 
9.1%
C 11
 
8.3%
A 7
 
5.3%
I 6
 
4.5%
H 6
 
4.5%
L 6
 
4.5%
K 4
 
3.0%
T 4
 
3.0%
G 3
 
2.3%
Other values (16) 29
22.0%
Common
ValueCountFrequency (%)
12278
40.5%
2 2642
 
8.7%
) 2236
 
7.4%
( 2236
 
7.4%
3 2227
 
7.3%
, 2215
 
7.3%
5 2013
 
6.6%
1 1971
 
6.5%
4 636
 
2.1%
0 442
 
1.5%
Other values (9) 1437
 
4.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 45409
59.8%
ASCII 30465
40.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
12278
40.3%
2 2642
 
8.7%
) 2236
 
7.3%
( 2236
 
7.3%
3 2227
 
7.3%
, 2215
 
7.3%
5 2013
 
6.6%
1 1971
 
6.5%
4 636
 
2.1%
0 442
 
1.5%
Other values (35) 1569
 
5.2%
Hangul
ValueCountFrequency (%)
로 3394
 
7.5%
산 3131
 
6.9%
용 3066
 
6.8%
한 2480
 
5.5%
서 2180
 
4.8%
강 2145
 
4.7%
시 2126
 
4.7%
울 2096
 
4.6%
구 2076
 
4.6%
별 2075
 
4.6%
Other values (272) 20640
45.5%

도로명우편번호
Real number (ℝ)

MISSING  SKEWED 

Distinct117
Distinct (%)5.7%
Missing373
Missing (%)15.3%
Infinite0
Infinite (%)0.0%
Mean4392.0024
Minimum4300
Maximum47292
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size21.5 KiB
2024-04-30T04:43:13.834915image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum4300
5-th percentile4315
Q14363
median4377
Q34377
95-th percentile4415
Maximum47292
Range42992
Interquartile range (IQR)14

Descriptive statistics

Standard deviation945.33249
Coefficient of variation (CV)0.21523952
Kurtosis2059.8368
Mean4392.0024
Median Absolute Deviation (MAD)6
Skewness45.368029
Sum9060701
Variance893653.52
MonotonicityNot monotonic
2024-04-30T04:43:14.127267image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
4377 865
35.5%
4371 180
 
7.4%
4363 59
 
2.4%
4401 59
 
2.4%
4315 43
 
1.8%
4382 28
 
1.1%
4415 25
 
1.0%
4337 24
 
1.0%
4359 24
 
1.0%
4400 23
 
0.9%
Other values (107) 733
30.1%
(Missing) 373
15.3%
ValueCountFrequency (%)
4300 5
 
0.2%
4301 6
 
0.2%
4302 4
 
0.2%
4303 5
 
0.2%
4304 4
 
0.2%
4305 17
0.7%
4307 8
0.3%
4308 1
 
< 0.1%
4309 7
0.3%
4310 5
 
0.2%
ValueCountFrequency (%)
47292 1
 
< 0.1%
4428 21
0.9%
4427 13
0.5%
4426 10
0.4%
4425 6
 
0.2%
4424 1
 
< 0.1%
4423 13
0.5%
4420 5
 
0.2%
4419 18
0.7%
4417 2
 
0.1%

사업장명
Text

Distinct1589
Distinct (%)65.2%
Missing0
Missing (%)0.0%
Memory size19.2 KiB
2024-04-30T04:43:14.315902image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length45
Median length27
Mean length6.6403941
Min length1

Characters and Unicode

Total characters16176
Distinct characters712
Distinct categories9 ?
Distinct scripts4 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1338 ?
Unique (%)54.9%

Sample

1st row양지제유소
2nd row왕자방앗간
3rd row한남참기름집
4th row한강떡집
5th row진천제분
ValueCountFrequency (%)
주식회사 158
 
5.5%
아띠몽 40
 
1.4%
주)신세계푸드 28
 
1.0%
원미푸드 28
 
1.0%
남도장터(주 28
 
1.0%
수라원 27
 
0.9%
주)인네이처 26
 
0.9%
농촌사랑(주 24
 
0.8%
미래식품 19
 
0.7%
농촌사랑 19
 
0.7%
Other values (1742) 2502
86.3%
2024-04-30T04:43:14.638042image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 678
 
4.2%
) 620
 
3.8%
( 599
 
3.7%
464
 
2.9%
식 344
 
2.1%
사 337
 
2.1%
이 333
 
2.1%
드 320
 
2.0%
회 276
 
1.7%
원 242
 
1.5%
Other values (702) 11963
74.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 13329
82.4%
Lowercase Letter 623
 
3.9%
Close Punctuation 620
 
3.8%
Open Punctuation 599
 
3.7%
Space Separator 464
 
2.9%
Uppercase Letter 452
 
2.8%
Decimal Number 42
 
0.3%
Other Punctuation 40
 
0.2%
Dash Punctuation 7
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 678
 
5.1%
식 344
 
2.6%
사 337
 
2.5%
이 333
 
2.5%
드 320
 
2.4%
회 276
 
2.1%
원 242
 
1.8%
푸 229
 
1.7%
스 222
 
1.7%
리 181
 
1.4%
Other values (633) 10167
76.3%
Uppercase Letter
ValueCountFrequency (%)
A 51
 
11.3%
D 41
 
9.1%
E 41
 
9.1%
O 40
 
8.8%
M 32
 
7.1%
H 30
 
6.6%
L 26
 
5.8%
R 22
 
4.9%
T 20
 
4.4%
N 19
 
4.2%
Other values (15) 130
28.8%
Lowercase Letter
ValueCountFrequency (%)
e 63
 
10.1%
a 60
 
9.6%
o 58
 
9.3%
t 55
 
8.8%
i 45
 
7.2%
l 38
 
6.1%
n 36
 
5.8%
u 30
 
4.8%
r 29
 
4.7%
s 28
 
4.5%
Other values (14) 181
29.1%
Decimal Number
ValueCountFrequency (%)
1 10
23.8%
2 9
21.4%
3 5
11.9%
4 4
 
9.5%
7 4
 
9.5%
0 4
 
9.5%
5 3
 
7.1%
9 2
 
4.8%
8 1
 
2.4%
Other Punctuation
ValueCountFrequency (%)
& 25
62.5%
. 5
 
12.5%
! 4
 
10.0%
: 2
 
5.0%
, 2
 
5.0%
' 1
 
2.5%
? 1
 
2.5%
Close Punctuation
ValueCountFrequency (%)
) 620
100.0%
Open Punctuation
ValueCountFrequency (%)
( 599
100.0%
Space Separator
ValueCountFrequency (%)
464
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 7
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 13325
82.4%
Common 1772
 
11.0%
Latin 1075
 
6.6%
Han 4
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 678
 
5.1%
식 344
 
2.6%
사 337
 
2.5%
이 333
 
2.5%
드 320
 
2.4%
회 276
 
2.1%
원 242
 
1.8%
푸 229
 
1.7%
스 222
 
1.7%
리 181
 
1.4%
Other values (629) 10163
76.3%
Latin
ValueCountFrequency (%)
e 63
 
5.9%
a 60
 
5.6%
o 58
 
5.4%
t 55
 
5.1%
A 51
 
4.7%
i 45
 
4.2%
D 41
 
3.8%
E 41
 
3.8%
O 40
 
3.7%
l 38
 
3.5%
Other values (39) 583
54.2%
Common
ValueCountFrequency (%)
) 620
35.0%
( 599
33.8%
464
26.2%
& 25
 
1.4%
1 10
 
0.6%
2 9
 
0.5%
- 7
 
0.4%
. 5
 
0.3%
3 5
 
0.3%
4 4
 
0.2%
Other values (10) 24
 
1.4%
Han
ValueCountFrequency (%)
金 1
25.0%
衣 1
25.0%
公 1
25.0%
子 1
25.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 13325
82.4%
ASCII 2847
 
17.6%
CJK 3
 
< 0.1%
CJK Compat Ideographs 1
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 678
 
5.1%
식 344
 
2.6%
사 337
 
2.5%
이 333
 
2.5%
드 320
 
2.4%
회 276
 
2.1%
원 242
 
1.8%
푸 229
 
1.7%
스 222
 
1.7%
리 181
 
1.4%
Other values (629) 10163
76.3%
ASCII
ValueCountFrequency (%)
) 620
21.8%
( 599
21.0%
464
16.3%
e 63
 
2.2%
a 60
 
2.1%
o 58
 
2.0%
t 55
 
1.9%
A 51
 
1.8%
i 45
 
1.6%
D 41
 
1.4%
Other values (59) 791
27.8%
CJK Compat Ideographs
ValueCountFrequency (%)
金 1
100.0%
CJK
ValueCountFrequency (%)
衣 1
33.3%
公 1
33.3%
子 1
33.3%

최종수정일자
Date

Distinct2028
Distinct (%)83.3%
Missing0
Missing (%)0.0%
Memory size19.2 KiB
Minimum1999-02-10 00:00:00
Maximum2024-04-24 04:15:08
2024-04-30T04:43:14.764534image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T04:43:14.884255image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

데이터갱신구분
Categorical

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size19.2 KiB
I
1222 
U
1214 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
I 1222
50.2%
U 1214
49.8%

Length

2024-04-30T04:43:14.992379image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:43:15.065878image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 1222
50.2%
u 1214
49.8%

데이터갱신일자
Date

Distinct935
Distinct (%)38.4%
Missing0
Missing (%)0.0%
Memory size19.2 KiB
Minimum2018-08-31 23:59:59
Maximum2023-12-04 00:07:00
2024-04-30T04:43:15.157885image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T04:43:15.270880image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업태구분명
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size19.2 KiB
즉석판매제조가공업
2337 
<NA>
 
99

Length

Max length9
Median length9
Mean length8.796798
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
즉석판매제조가공업 2337
95.9%
<NA> 99
 
4.1%

Length

2024-04-30T04:43:15.384619image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:43:15.467657image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
즉석판매제조가공업 2337
95.9%
na 99
 
4.1%

좌표정보(X)
Real number (ℝ)

MISSING  SKEWED 

Distinct812
Distinct (%)33.7%
Missing25
Missing (%)1.0%
Infinite0
Infinite (%)0.0%
Mean197562.65
Minimum195544.61
Maximum387688.44
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size21.5 KiB
2024-04-30T04:43:15.557444image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum195544.61
5-th percentile196328.89
Q1196762.08
median196762.08
Q3198022.46
95-th percentile200226.15
Maximum387688.44
Range192143.84
Interquartile range (IQR)1260.3842

Descriptive statistics

Standard deviation4074.7641
Coefficient of variation (CV)0.020625174
Kurtosis1968.6216
Mean197562.65
Median Absolute Deviation (MAD)135.67404
Skewness42.215209
Sum4.7632354 × 108
Variance16603702
MonotonicityNot monotonic
2024-04-30T04:43:15.671096image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
196762.077394917 929
38.1%
196813.258497258 212
 
8.7%
198622.89264988 44
 
1.8%
200437.601967198 42
 
1.7%
197045.849468346 34
 
1.4%
195547.140326252 30
 
1.2%
197373.839856311 16
 
0.7%
197158.923647874 13
 
0.5%
200231.538140657 12
 
0.5%
197811.954980013 12
 
0.5%
Other values (802) 1067
43.8%
(Missing) 25
 
1.0%
ValueCountFrequency (%)
195544.606275448 2
 
0.1%
195547.140326252 30
1.2%
195556.853873045 1
 
< 0.1%
195614.53691722 1
 
< 0.1%
195626.865584206 1
 
< 0.1%
195653.553341643 1
 
< 0.1%
195709.974530031 1
 
< 0.1%
195727.009429551 1
 
< 0.1%
195758.260949987 1
 
< 0.1%
195766.891381353 1
 
< 0.1%
ValueCountFrequency (%)
387688.441613365 1
 
< 0.1%
200954.990156608 1
 
< 0.1%
200855.473260672 1
 
< 0.1%
200846.604536733 2
0.1%
200824.55933234 1
 
< 0.1%
200823.833430175 1
 
< 0.1%
200821.875716478 1
 
< 0.1%
200770.256534709 1
 
< 0.1%
200769.106350156 4
0.2%
200764.114249397 1
 
< 0.1%

좌표정보(Y)
Real number (ℝ)

MISSING  SKEWED 

Distinct812
Distinct (%)33.7%
Missing25
Missing (%)1.0%
Infinite0
Infinite (%)0.0%
Mean447774.44
Minimum185991.5
Maximum450272.71
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size21.5 KiB
2024-04-30T04:43:15.785645image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum185991.5
5-th percentile446859.86
Q1447480.04
median447522.75
Q3448267.96
95-th percentile449665.7
Maximum450272.71
Range264281.21
Interquartile range (IQR)787.92173

Descriptive statistics

Standard deviation5389.5118
Coefficient of variation (CV)0.01203622
Kurtosis2312.4294
Mean447774.44
Median Absolute Deviation (MAD)359.22374
Skewness-47.586778
Sum1.0795842 × 109
Variance29046837
MonotonicityNot monotonic
2024-04-30T04:43:15.919252image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
447480.039577359 929
38.1%
447881.970772064 212
 
8.7%
446114.155238838 44
 
1.8%
448269.566304924 42
 
1.7%
448447.558967085 34
 
1.4%
447976.775939762 30
 
1.2%
450014.537949042 16
 
0.7%
447399.964398158 13
 
0.5%
448226.481350525 12
 
0.5%
446248.255892098 12
 
0.5%
Other values (802) 1067
43.8%
(Missing) 25
 
1.0%
ValueCountFrequency (%)
185991.498403346 1
 
< 0.1%
446114.155238838 44
1.8%
446185.244544796 2
 
0.1%
446196.846273533 1
 
< 0.1%
446201.315141801 2
 
0.1%
446202.36502252 6
 
0.2%
446243.198701013 1
 
< 0.1%
446248.255892098 12
 
0.5%
446262.544080318 2
 
0.1%
446344.591216568 2
 
0.1%
ValueCountFrequency (%)
450272.711607398 1
< 0.1%
450267.741912848 1
< 0.1%
450214.931124581 1
< 0.1%
450204.639521259 1
< 0.1%
450188.082192466 1
< 0.1%
450179.216144299 1
< 0.1%
450169.310817969 1
< 0.1%
450139.846002725 1
< 0.1%
450126.951675139 1
< 0.1%
450119.426028378 2
0.1%

위생업태명
Categorical

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size19.2 KiB
즉석판매제조가공업
1697 
<NA>
739 

Length

Max length9
Median length9
Mean length7.4831691
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
즉석판매제조가공업 1697
69.7%
<NA> 739
30.3%

Length

2024-04-30T04:43:16.035111image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:43:16.118966image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
즉석판매제조가공업 1697
69.7%
na 739
30.3%

남성종사자수
Categorical

IMBALANCE 

Distinct4
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size19.2 KiB
<NA>
2208 
0
 
220
1
 
7
2
 
1

Length

Max length4
Median length4
Mean length3.7192118
Min length1

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

1st row1
2nd row1
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 2208
90.6%
0 220
 
9.0%
1 7
 
0.3%
2 1
 
< 0.1%

Length

2024-04-30T04:43:16.216614image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:43:16.299642image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 2208
90.6%
0 220
 
9.0%
1 7
 
0.3%
2 1
 
< 0.1%

여성종사자수
Categorical

IMBALANCE 

Distinct4
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size19.2 KiB
<NA>
2207 
0
221 
1
 
7
2
 
1

Length

Max length4
Median length4
Mean length3.7179803
Min length1

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 2207
90.6%
0 221
 
9.1%
1 7
 
0.3%
2 1
 
< 0.1%

Length

2024-04-30T04:43:16.383381image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:43:16.478353image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 2207
90.6%
0 221
 
9.1%
1 7
 
0.3%
2 1
 
< 0.1%

영업장주변구분명
Categorical

IMBALANCE 

Distinct5
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size19.2 KiB
<NA>
2306 
기타
 
86
주택가주변
 
40
아파트지역
 
3
유흥업소밀집지역
 
1

Length

Max length8
Median length4
Mean length3.9486864
Min length2

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 2306
94.7%
기타 86
 
3.5%
주택가주변 40
 
1.6%
아파트지역 3
 
0.1%
유흥업소밀집지역 1
 
< 0.1%

Length

2024-04-30T04:43:16.571724image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:43:16.657163image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 2306
94.7%
기타 86
 
3.5%
주택가주변 40
 
1.6%
아파트지역 3
 
0.1%
유흥업소밀집지역 1
 
< 0.1%

등급구분명
Categorical

IMBALANCE 

Distinct3
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size19.2 KiB
<NA>
2306 
기타
 
128
자율
 
2

Length

Max length4
Median length4
Mean length3.8932677
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 2306
94.7%
기타 128
 
5.3%
자율 2
 
0.1%

Length

2024-04-30T04:43:16.762982image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:43:16.847364image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 2306
94.7%
기타 128
 
5.3%
자율 2
 
0.1%

급수시설구분명
Categorical

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size19.2 KiB
<NA>
2149 
상수도전용
287 

Length

Max length5
Median length4
Mean length4.1178161
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 2149
88.2%
상수도전용 287
 
11.8%

Length

2024-04-30T04:43:16.927621image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:43:17.003873image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 2149
88.2%
상수도전용 287
 
11.8%

총인원
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size19.2 KiB
<NA>
2289 
0
 
147

Length

Max length4
Median length4
Mean length3.8189655
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> 2289
94.0%
0 147
 
6.0%

Length

2024-04-30T04:43:17.103938image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:43:17.191501image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 2289
94.0%
0 147
 
6.0%

본사종업원수
Categorical

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size19.2 KiB
<NA>
1926 
0
510 

Length

Max length4
Median length4
Mean length3.3719212
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 1926
79.1%
0 510
 
20.9%

Length

2024-04-30T04:43:17.271047image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:43:17.347404image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 1926
79.1%
0 510
 
20.9%

공장사무직종업원수
Categorical

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size19.2 KiB
<NA>
1926 
0
510 

Length

Max length4
Median length4
Mean length3.3719212
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 1926
79.1%
0 510
 
20.9%

Length

2024-04-30T04:43:17.425146image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:43:17.513046image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 1926
79.1%
0 510
 
20.9%

공장판매직종업원수
Categorical

IMBALANCE 

Distinct4
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size19.2 KiB
<NA>
1923 
0
501 
1
 
7
2
 
5

Length

Max length4
Median length4
Mean length3.3682266
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 1923
78.9%
0 501
 
20.6%
1 7
 
0.3%
2 5
 
0.2%

Length

2024-04-30T04:43:17.597353image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:43:17.676661image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 1923
78.9%
0 501
 
20.6%
1 7
 
0.3%
2 5
 
0.2%

공장생산직종업원수
Categorical

IMBALANCE 

Distinct5
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size19.2 KiB
<NA>
1923 
0
507 
1
 
4
4
 
1
2
 
1

Length

Max length4
Median length4
Mean length3.3682266
Min length1

Unique

Unique2 ?
Unique (%)0.1%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 1923
78.9%
0 507
 
20.8%
1 4
 
0.2%
4 1
 
< 0.1%
2 1
 
< 0.1%

Length

2024-04-30T04:43:17.780658image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:43:17.864023image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 1923
78.9%
0 507
 
20.8%
1 4
 
0.2%
4 1
 
< 0.1%
2 1
 
< 0.1%

건물소유구분명
Categorical

Distinct3
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size19.2 KiB
<NA>
1467 
자가
618 
임대
351 

Length

Max length4
Median length4
Mean length3.2044335
Min length2

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> 1467
60.2%
자가 618
25.4%
임대 351
 
14.4%

Length

2024-04-30T04:43:17.959320image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:43:18.051694image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 1467
60.2%
자가 618
25.4%
임대 351
 
14.4%

보증액
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size19.2 KiB
<NA>
2185 
0
251 

Length

Max length4
Median length4
Mean length3.6908867
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> 2185
89.7%
0 251
 
10.3%

Length

2024-04-30T04:43:18.137641image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:43:18.230445image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 2185
89.7%
0 251
 
10.3%

월세액
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size19.2 KiB
<NA>
2185 
0
251 

Length

Max length4
Median length4
Mean length3.6908867
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> 2185
89.7%
0 251
 
10.3%

Length

2024-04-30T04:43:18.317348image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:43:18.412714image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 2185
89.7%
0 251
 
10.3%

다중이용업소여부
Boolean

IMBALANCE  MISSING 

Distinct2
Distinct (%)0.1%
Missing642
Missing (%)26.4%
Memory size4.9 KiB
False
1793 
True
 
1
(Missing)
642 
ValueCountFrequency (%)
False 1793
73.6%
True 1
 
< 0.1%
(Missing) 642
 
26.4%
2024-04-30T04:43:18.493008image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

시설총규모
Real number (ℝ)

MISSING  ZEROS 

Distinct55
Distinct (%)3.1%
Missing642
Missing (%)26.4%
Infinite0
Infinite (%)0.0%
Mean0.81856187
Minimum0
Maximum101.37
Zeros1726
Zeros (%)70.9%
Negative0
Negative (%)0.0%
Memory size21.5 KiB
2024-04-30T04:43:18.583513image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum101.37
Range101.37
Interquartile range (IQR)0

Descriptive statistics

Standard deviation5.4431934
Coefficient of variation (CV)6.649703
Kurtosis127.62605
Mean0.81856187
Median Absolute Deviation (MAD)0
Skewness9.8878264
Sum1468.5
Variance29.628354
MonotonicityNot monotonic
2024-04-30T04:43:18.925725image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 1726
70.9%
10.0 4
 
0.2%
3.0 4
 
0.2%
9.9 3
 
0.1%
30.0 3
 
0.1%
3.3 2
 
0.1%
10.58 2
 
0.1%
35.0 2
 
0.1%
7.0 2
 
0.1%
10.82 1
 
< 0.1%
Other values (45) 45
 
1.8%
(Missing) 642
 
26.4%
ValueCountFrequency (%)
0.0 1726
70.9%
2.0 1
 
< 0.1%
3.0 4
 
0.2%
3.3 2
 
0.1%
3.75 1
 
< 0.1%
4.0 1
 
< 0.1%
5.0 1
 
< 0.1%
7.0 2
 
0.1%
8.0 1
 
< 0.1%
8.61 1
 
< 0.1%
ValueCountFrequency (%)
101.37 1
< 0.1%
80.94 1
< 0.1%
75.71 1
< 0.1%
45.99 1
< 0.1%
45.5 1
< 0.1%
40.0 1
< 0.1%
35.96 1
< 0.1%
35.0 2
0.1%
34.7 1
< 0.1%
34.0 1
< 0.1%

전통업소지정번호
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2436
Missing (%)100.0%
Memory size21.5 KiB

전통업소주된음식
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2436
Missing (%)100.0%
Memory size21.5 KiB

홈페이지
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2436
Missing (%)100.0%
Memory size21.5 KiB

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)위생업태명남성종사자수여성종사자수영업장주변구분명등급구분명급수시설구분명총인원본사종업원수공장사무직종업원수공장판매직종업원수공장생산직종업원수건물소유구분명보증액월세액다중이용업소여부시설총규모전통업소지정번호전통업소주된음식홈페이지
030200003020000-107-1972-0015519721031<NA>3폐업2폐업20081103<NA><NA><NA>02 797637415.5140023서울특별시 용산구 용산동3가 1-66<NA><NA>양지제유소2008-01-09 10:07:11I2018-08-31 23:59:59.0<NA>197685.483577448008.90941<NA>10주택가주변기타상수도전용<NA>0000<NA><NA><NA>N0.0<NA><NA><NA>
130200003020000-107-1972-0026119720715<NA>3폐업2폐업20051108<NA><NA><NA>02 79589860.0140160서울특별시 용산구 남영동 28-1<NA><NA>왕자방앗간2004-10-13 00:00:00I2018-08-31 23:59:59.0즉석판매제조가공업197527.946638449085.431238즉석판매제조가공업10주택가주변자율<NA><NA>0000<NA><NA><NA>N0.0<NA><NA><NA>
230200003020000-107-1975-003751975-08-28<NA>1영업/정상1영업<NA><NA><NA><NA>020793668150.0140-889서울특별시 용산구 한남동 107-10서울특별시 용산구 독서당로 29, 1층 (한남동)4410한남참기름집2023-04-26 15:01:32U2022-12-03 22:08:00.0즉석판매제조가공업200581.026843447647.256933<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
330200003020000-107-1975-0037619750825<NA>1영업/정상1영업<NA><NA><NA><NA>02 7935181<NA>140852서울특별시 용산구 이촌동 300-10서울특별시 용산구 이촌로 290 (이촌동)4425한강떡집2014-06-27 13:43:39I2018-08-31 23:59:59.0즉석판매제조가공업198047.573915446202.365023즉석판매제조가공업<NA><NA><NA><NA><NA><NA>0000<NA><NA><NA>N0.0<NA><NA><NA>
430200003020000-107-1981-0000119811118<NA>1영업/정상1영업<NA><NA><NA><NA>02 7955760<NA>140810서울특별시 용산구 동빙고동 28-6서울특별시 용산구 서빙고로91나길 104 (동빙고동)4395진천제분2014-01-15 11:15:40I2018-08-31 23:59:59.0즉석판매제조가공업199589.386273447000.610419즉석판매제조가공업<NA><NA><NA><NA><NA><NA>0000<NA><NA><NA>N0.0<NA><NA><NA>
530200003020000-107-1982-0000119820810<NA>3폐업2폐업20120530<NA><NA><NA>02 7955350<NA>140891서울특별시 용산구 한남동 684-90<NA><NA>제일제분2008-01-09 10:30:21I2018-08-31 23:59:59.0즉석판매제조가공업199997.235853447996.592356즉석판매제조가공업<NA><NA><NA><NA><NA><NA>0000<NA><NA><NA>N0.0<NA><NA><NA>
630200003020000-107-1983-0026219830129<NA>3폐업2폐업20091201<NA><NA><NA>02 793504133.0140160서울특별시 용산구 남영동 29-16<NA><NA>중앙기름집2009-01-16 14:37:05I2018-08-31 23:59:59.0즉석판매제조가공업197521.733183449092.938933즉석판매제조가공업11주택가주변자율<NA><NA>0000<NA><NA><NA>N0.0<NA><NA><NA>
730200003020000-107-1984-0000119840307<NA>1영업/정상1영업<NA><NA><NA><NA>02 7143417<NA>140830서울특별시 용산구 서계동 260-2서울특별시 용산구 효창원로 268 (서계동)4305경상도기름집2002-11-21 00:00:00I2018-08-31 23:59:59.0즉석판매제조가공업196727.447265449861.92399즉석판매제조가공업<NA><NA><NA><NA>상수도전용<NA>0000임대<NA><NA>N0.0<NA><NA><NA>
830200003020000-107-1984-0000219851202<NA>3폐업2폐업20151224<NA><NA><NA>02 7143328<NA>140830서울특별시 용산구 서계동 231-8서울특별시 용산구 만리재로 182-5 (서계동)4300수도상회2002-11-21 00:00:00I2018-08-31 23:59:59.0즉석판매제조가공업196983.604273450204.639521즉석판매제조가공업<NA><NA><NA><NA>상수도전용<NA>0000자가<NA><NA>N0.0<NA><NA><NA>
930200003020000-107-1984-0000319841130<NA>3폐업2폐업20030110<NA><NA><NA>02 7139627<NA>140832서울특별시 용산구 용문동 37-2<NA><NA>용문기름집2002-11-21 00:00:00I2018-08-31 23:59:59.0즉석판매제조가공업196292.428517448453.076611즉석판매제조가공업<NA><NA><NA><NA>상수도전용<NA>0000임대<NA><NA>N0.0<NA><NA><NA>
개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)위생업태명남성종사자수여성종사자수영업장주변구분명등급구분명급수시설구분명총인원본사종업원수공장사무직종업원수공장판매직종업원수공장생산직종업원수건물소유구분명보증액월세액다중이용업소여부시설총규모전통업소지정번호전통업소주된음식홈페이지
242630200003020000-107-2024-000722024-04-16<NA>3폐업2폐업2024-04-23<NA><NA><NA><NA>0.0140-111서울특별시 용산구 원효로1가 133-3 롯데슈퍼서울특별시 용산구 백범로 341, 지하 1층 일부호 (원효로1가, 리첸시아 용산)4315(주)티제이푸드2024-04-24 04:15:08U2023-12-03 22:06:00.0즉석판매제조가공업197045.849468448447.558967<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
242730200003020000-107-2024-000732024-04-16<NA>1영업/정상1영업<NA><NA><NA><NA><NA>0.0140-780서울특별시 용산구 한강로3가 40-999 용산역서울특별시 용산구 한강대로23길 55, 이마트 용산점 지하 2층 식품매장 행사장 일부호 (한강로3가)4377(주)신세계푸드2024-04-16 13:32:12I2023-12-03 23:08:00.0즉석판매제조가공업196762.077395447480.039577<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
242830200003020000-107-2024-000742024-04-17<NA>1영업/정상1영업<NA><NA><NA><NA><NA>0.0140-780서울특별시 용산구 한강로3가 40-999 용산역서울특별시 용산구 한강대로23길 55, 용산아이파크몰 3층 리빙파크 일부호 (한강로3가)4377씨케이브(SEA CAVE)2024-04-17 10:54:58I2023-12-03 23:09:00.0즉석판매제조가공업196762.077395447480.039577<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
242930200003020000-107-2024-000752024-04-17<NA>1영업/정상1영업<NA><NA><NA><NA><NA>0.0140-901서울특별시 용산구 후암동 244-11 현석빌딩서울특별시 용산구 후암로 32, 현석빌딩 3층 일부호 (후암동)4331(주)백두산천지인2024-04-17 11:58:19I2023-12-03 23:09:00.0즉석판매제조가공업197980.868341449605.434773<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
243030200003020000-107-2024-000762024-04-17<NA>1영업/정상1영업<NA><NA><NA><NA>070 880585654.9140-832서울특별시 용산구 용문동 5-124서울특별시 용산구 원효로71길 70, 1층 (용문동)4364용호야채곱창용문점2024-04-17 15:21:22I2023-12-03 23:09:00.0즉석판매제조가공업196512.930276448487.865677<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
243130200003020000-107-2024-000772024-04-18<NA>1영업/정상1영업<NA><NA><NA><NA><NA>0.0140-780서울특별시 용산구 한강로3가 40-999 용산역서울특별시 용산구 한강대로23길 55, 용산아이파크몰 7층 일부호 (한강로3가)4377대만 락 카스테라2024-04-18 14:47:19I2023-12-03 22:00:00.0즉석판매제조가공업196762.077395447480.039577<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
243230200003020000-107-2024-000782024-04-22<NA>1영업/정상1영업<NA><NA><NA><NA><NA>0.0140-780서울특별시 용산구 한강로3가 40-999 용산역서울특별시 용산구 한강대로23길 55, 용산아이파크몰 더센터동 4층 일부호 (한강로3가)4377메이프트 그로서리2024-04-22 14:15:36I2023-12-03 22:04:00.0즉석판매제조가공업196762.077395447480.039577<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
243330200003020000-107-2024-000792024-04-22<NA>1영업/정상1영업<NA><NA><NA><NA><NA>3.5140-804서울특별시 용산구 갈월동 53-21서울특별시 용산구 두텁바위로1길 26, 1층 (갈월동)4335가든한 마켓2024-04-22 16:14:15I2023-12-03 22:04:00.0즉석판매제조가공업197620.107588449267.006616<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
243430200003020000-107-2024-000802024-04-23<NA>1영업/정상1영업<NA><NA><NA><NA><NA>0.0140-780서울특별시 용산구 한강로3가 40-999 용산역서울특별시 용산구 한강대로23길 55, 용산아이파크몰 리빙파크동 3층 일부호 (한강로3가)4377제로햄2024-04-23 09:33:50I2023-12-03 22:05:00.0즉석판매제조가공업196762.077395447480.039577<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
243530200003020000-107-2024-000812024-04-23<NA>1영업/정상1영업<NA><NA><NA><NA><NA>0.0140-111서울특별시 용산구 원효로1가 133-3 리첸시아 용산서울특별시 용산구 백범로 341, 롯데슈퍼 원효로점1층 일부호 (원효로1가, 리첸시아 용산)4315(주)티제이푸드2024-04-23 13:13:21I2023-12-03 22:05:00.0즉석판매제조가공업197045.849468448447.558967<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>