Overview

Dataset statistics

Number of variables44
Number of observations1627
Missing cells15401
Missing cells (%)21.5%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory597.5 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
Author종로구
URLhttps://data.seoul.go.kr/dataList/OA-18427/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
업태구분명 has constant value ""Constant
다중이용업소여부 has constant value ""Constant
남성종사자수 is highly imbalanced (72.4%)Imbalance
여성종사자수 is highly imbalanced (67.0%)Imbalance
영업장주변구분명 is highly imbalanced (79.8%)Imbalance
등급구분명 is highly imbalanced (83.3%)Imbalance
급수시설구분명 is highly imbalanced (74.3%)Imbalance
총인원 is highly imbalanced (66.4%)Imbalance
본사종업원수 is highly imbalanced (56.8%)Imbalance
보증액 is highly imbalanced (77.4%)Imbalance
월세액 is highly imbalanced (73.8%)Imbalance
인허가취소일자 has 1627 (100.0%) missing valuesMissing
폐업일자 has 398 (24.5%) missing valuesMissing
휴업시작일자 has 1627 (100.0%) missing valuesMissing
휴업종료일자 has 1627 (100.0%) missing valuesMissing
재개업일자 has 1627 (100.0%) missing valuesMissing
전화번호 has 997 (61.3%) missing valuesMissing
소재지면적 has 747 (45.9%) missing valuesMissing
도로명주소 has 338 (20.8%) missing valuesMissing
도로명우편번호 has 350 (21.5%) missing valuesMissing
좌표정보(X) has 50 (3.1%) missing valuesMissing
좌표정보(Y) has 50 (3.1%) missing valuesMissing
다중이용업소여부 has 540 (33.2%) missing valuesMissing
시설총규모 has 540 (33.2%) missing valuesMissing
전통업소지정번호 has 1627 (100.0%) missing valuesMissing
전통업소주된음식 has 1627 (100.0%) missing valuesMissing
홈페이지 has 1627 (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
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 135 (8.3%) zerosZeros
시설총규모 has 1081 (66.4%) zerosZeros

Reproduction

Analysis started2024-04-29 19:42:51.655260
Analysis finished2024-04-29 19:42:52.979956
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 size12.8 KiB
3000000
1627 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3000000
2nd row3000000
3rd row3000000
4th row3000000
5th row3000000

Common Values

ValueCountFrequency (%)
3000000 1627
100.0%

Length

2024-04-30T04:42:53.038652image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:42:53.120037image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3000000 1627
100.0%

관리번호
Text

UNIQUE 

Distinct1627
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size12.8 KiB
2024-04-30T04:42:53.276809image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length22
Median length22
Mean length22
Min length22

Characters and Unicode

Total characters35794
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

Unique1627 ?
Unique (%)100.0%

Sample

1st row3000000-107-1977-00022
2nd row3000000-107-1977-00048
3rd row3000000-107-1994-00047
4th row3000000-107-1994-00051
5th row3000000-107-1994-00278
ValueCountFrequency (%)
3000000-107-1977-00022 1
 
0.1%
3000000-107-2020-00125 1
 
0.1%
3000000-107-2020-00135 1
 
0.1%
3000000-107-2020-00134 1
 
0.1%
3000000-107-2020-00133 1
 
0.1%
3000000-107-2020-00132 1
 
0.1%
3000000-107-2020-00131 1
 
0.1%
3000000-107-2020-00130 1
 
0.1%
3000000-107-2020-00129 1
 
0.1%
3000000-107-2020-00128 1
 
0.1%
Other values (1617) 1617
99.4%
2024-04-30T04:42:53.578792image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 18197
50.8%
- 4881
 
13.6%
1 3346
 
9.3%
2 2709
 
7.6%
3 2248
 
6.3%
7 2029
 
5.7%
9 811
 
2.3%
6 441
 
1.2%
4 402
 
1.1%
8 393
 
1.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 30913
86.4%
Dash Punctuation 4881
 
13.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 18197
58.9%
1 3346
 
10.8%
2 2709
 
8.8%
3 2248
 
7.3%
7 2029
 
6.6%
9 811
 
2.6%
6 441
 
1.4%
4 402
 
1.3%
8 393
 
1.3%
5 337
 
1.1%
Dash Punctuation
ValueCountFrequency (%)
- 4881
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 35794
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 18197
50.8%
- 4881
 
13.6%
1 3346
 
9.3%
2 2709
 
7.6%
3 2248
 
6.3%
7 2029
 
5.7%
9 811
 
2.3%
6 441
 
1.2%
4 402
 
1.1%
8 393
 
1.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 35794
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 18197
50.8%
- 4881
 
13.6%
1 3346
 
9.3%
2 2709
 
7.6%
3 2248
 
6.3%
7 2029
 
5.7%
9 811
 
2.3%
6 441
 
1.2%
4 402
 
1.1%
8 393
 
1.1%

인허가일자
Date

Distinct1205
Distinct (%)74.1%
Missing0
Missing (%)0.0%
Memory size12.8 KiB
Minimum1977-07-11 00:00:00
Maximum2024-04-23 00:00:00
2024-04-30T04:42:53.719289image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T04:42:53.838110image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1627
Missing (%)100.0%
Memory size14.4 KiB

영업상태코드
Categorical

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size12.8 KiB
3
1229 
1
398 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
3 1229
75.5%
1 398
 
24.5%

Length

2024-04-30T04:42:53.942324image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:42:54.035255image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 1229
75.5%
1 398
 
24.5%

영업상태명
Categorical

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size12.8 KiB
폐업
1229 
영업/정상
398 

Length

Max length5
Median length2
Mean length2.733866
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 1229
75.5%
영업/정상 398
 
24.5%

Length

2024-04-30T04:42:54.143613image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:42:54.243837image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 1229
75.5%
영업/정상 398
 
24.5%

상세영업상태코드
Categorical

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size12.8 KiB
2
1229 
1
398 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
2 1229
75.5%
1 398
 
24.5%

Length

2024-04-30T04:42:54.343755image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:42:54.442306image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2 1229
75.5%
1 398
 
24.5%

상세영업상태명
Categorical

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size12.8 KiB
폐업
1229 
영업
398 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 1229
75.5%
영업 398
 
24.5%

Length

2024-04-30T04:42:54.545962image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:42:54.647213image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 1229
75.5%
영업 398
 
24.5%

폐업일자
Date

MISSING 

Distinct925
Distinct (%)75.3%
Missing398
Missing (%)24.5%
Memory size12.8 KiB
Minimum1997-01-16 00:00:00
Maximum2024-04-21 00:00:00
2024-04-30T04:42:54.752048image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T04:42:54.872442image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1627
Missing (%)100.0%
Memory size14.4 KiB

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1627
Missing (%)100.0%
Memory size14.4 KiB

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1627
Missing (%)100.0%
Memory size14.4 KiB

전화번호
Text

MISSING 

Distinct559
Distinct (%)88.7%
Missing997
Missing (%)61.3%
Memory size12.8 KiB
2024-04-30T04:42:55.121255image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length11
Mean length10.955556
Min length6

Characters and Unicode

Total characters6902
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

Unique526 ?
Unique (%)83.5%

Sample

1st row02 7627051
2nd row02 7636116
3rd row02 7479844
4th row02 7421943
5th row02 1001000
ValueCountFrequency (%)
02 483
35.0%
070 39
 
2.8%
031 16
 
1.2%
722 11
 
0.8%
725 10
 
0.7%
766 9
 
0.7%
741 9
 
0.7%
4358 8
 
0.6%
470 8
 
0.6%
6551 8
 
0.6%
Other values (629) 780
56.5%
2024-04-30T04:42:55.500675image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 1110
16.1%
0 1099
15.9%
989
14.3%
7 801
11.6%
3 561
8.1%
6 476
6.9%
4 410
 
5.9%
5 403
 
5.8%
1 388
 
5.6%
8 343
 
5.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 5913
85.7%
Space Separator 989
 
14.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 1110
18.8%
0 1099
18.6%
7 801
13.5%
3 561
9.5%
6 476
8.1%
4 410
 
6.9%
5 403
 
6.8%
1 388
 
6.6%
8 343
 
5.8%
9 322
 
5.4%
Space Separator
ValueCountFrequency (%)
989
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 6902
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
2 1110
16.1%
0 1099
15.9%
989
14.3%
7 801
11.6%
3 561
8.1%
6 476
6.9%
4 410
 
5.9%
5 403
 
5.8%
1 388
 
5.6%
8 343
 
5.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 6902
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 1110
16.1%
0 1099
15.9%
989
14.3%
7 801
11.6%
3 561
8.1%
6 476
6.9%
4 410
 
5.9%
5 403
 
5.8%
1 388
 
5.6%
8 343
 
5.0%

소재지면적
Real number (ℝ)

MISSING  ZEROS 

Distinct248
Distinct (%)28.2%
Missing747
Missing (%)45.9%
Infinite0
Infinite (%)0.0%
Mean66.489398
Minimum0
Maximum247.59
Zeros135
Zeros (%)8.3%
Negative0
Negative (%)0.0%
Memory size14.4 KiB
2024-04-30T04:42:55.631436image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q13.3
median14.635
Q386.945
95-th percentile232.58
Maximum247.59
Range247.59
Interquartile range (IQR)83.645

Descriptive statistics

Standard deviation93.028898
Coefficient of variation (CV)1.3991539
Kurtosis-0.5430773
Mean66.489398
Median Absolute Deviation (MAD)14.635
Skewness1.1496451
Sum58510.67
Variance8654.3759
MonotonicityNot monotonic
2024-04-30T04:42:55.742892image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
232.58 200
 
12.3%
0.0 135
 
8.3%
3.3 48
 
3.0%
10.0 40
 
2.5%
3.0 30
 
1.8%
6.0 22
 
1.4%
5.0 12
 
0.7%
9.9 12
 
0.7%
12.0 11
 
0.7%
6.6 11
 
0.7%
Other values (238) 359
22.1%
(Missing) 747
45.9%
ValueCountFrequency (%)
0.0 135
8.3%
0.6 1
 
0.1%
1.0 2
 
0.1%
1.7 1
 
0.1%
2.3 1
 
0.1%
3.0 30
 
1.8%
3.03 1
 
0.1%
3.11 1
 
0.1%
3.21 1
 
0.1%
3.24 1
 
0.1%
ValueCountFrequency (%)
247.59 1
 
0.1%
232.58 200
12.3%
232.56 1
 
0.1%
140.56 1
 
0.1%
138.76 1
 
0.1%
138.0 1
 
0.1%
132.23 1
 
0.1%
131.97 1
 
0.1%
122.91 1
 
0.1%
119.9 1
 
0.1%

소재지우편번호
Text

Distinct220
Distinct (%)13.5%
Missing1
Missing (%)0.1%
Memory size12.8 KiB
2024-04-30T04:42:55.999984image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length6
Mean length6.2527675
Min length6

Characters and Unicode

Total characters10167
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

Unique52 ?
Unique (%)3.2%

Sample

1st row110845
2nd row110861
3rd row110800
4th row110320
5th row110035
ValueCountFrequency (%)
110054 243
 
14.9%
110-054 102
 
6.3%
110847 98
 
6.0%
110522 59
 
3.6%
110043 43
 
2.6%
110-821 28
 
1.7%
110320 27
 
1.7%
110827 27
 
1.7%
110837 26
 
1.6%
110840 23
 
1.4%
Other values (210) 950
58.4%
2024-04-30T04:42:56.354440image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 3623
35.6%
0 2735
26.9%
4 788
 
7.8%
5 621
 
6.1%
8 591
 
5.8%
2 513
 
5.0%
- 411
 
4.0%
3 366
 
3.6%
7 262
 
2.6%
6 180
 
1.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 9756
96.0%
Dash Punctuation 411
 
4.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 3623
37.1%
0 2735
28.0%
4 788
 
8.1%
5 621
 
6.4%
8 591
 
6.1%
2 513
 
5.3%
3 366
 
3.8%
7 262
 
2.7%
6 180
 
1.8%
9 77
 
0.8%
Dash Punctuation
ValueCountFrequency (%)
- 411
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 10167
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
1 3623
35.6%
0 2735
26.9%
4 788
 
7.8%
5 621
 
6.1%
8 591
 
5.8%
2 513
 
5.0%
- 411
 
4.0%
3 366
 
3.6%
7 262
 
2.6%
6 180
 
1.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 10167
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 3623
35.6%
0 2735
26.9%
4 788
 
7.8%
5 621
 
6.1%
8 591
 
5.8%
2 513
 
5.0%
- 411
 
4.0%
3 366
 
3.6%
7 262
 
2.6%
6 180
 
1.8%

지번주소
Text

Distinct1093
Distinct (%)67.2%
Missing1
Missing (%)0.1%
Memory size12.8 KiB
2024-04-30T04:42:56.675846image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length56
Median length47
Mean length22.847478
Min length15

Characters and Unicode

Total characters37150
Distinct characters294
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

Unique982 ?
Unique (%)60.4%

Sample

1st row서울특별시 종로구 충신동 135-0
2nd row서울특별시 종로구 창신동 17-13
3rd row서울특별시 종로구 계동 62-2
4th row서울특별시 종로구 낙원동 284-6
5th row서울특별시 종로구 옥인동 149-0
ValueCountFrequency (%)
종로구 1627
21.0%
서울특별시 1626
21.0%
사직동 345
 
4.4%
1층 213
 
2.7%
1-41 203
 
2.6%
9 126
 
1.6%
평창동 119
 
1.5%
창신동 114
 
1.5%
158-1 84
 
1.1%
숭인동 73
 
0.9%
Other values (1159) 3229
41.6%
2024-04-30T04:42:57.110572image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
7176
19.3%
1 2053
 
5.5%
로 1948
 
5.2%
종 1832
 
4.9%
서 1670
 
4.5%
구 1646
 
4.4%
울 1645
 
4.4%
시 1633
 
4.4%
특 1626
 
4.4%
별 1626
 
4.4%
Other values (284) 14295
38.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 22507
60.6%
Space Separator 7176
 
19.3%
Decimal Number 6132
 
16.5%
Dash Punctuation 1109
 
3.0%
Uppercase Letter 106
 
0.3%
Close Punctuation 44
 
0.1%
Open Punctuation 43
 
0.1%
Lowercase Letter 17
 
< 0.1%
Other Punctuation 16
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
로 1948
 
8.7%
종 1832
 
8.1%
서 1670
 
7.4%
구 1646
 
7.3%
울 1645
 
7.3%
시 1633
 
7.3%
특 1626
 
7.2%
별 1626
 
7.2%
동 1422
 
6.3%
사 387
 
1.7%
Other values (246) 7072
31.4%
Uppercase Letter
ValueCountFrequency (%)
S 28
26.4%
G 27
25.5%
B 26
24.5%
A 10
 
9.4%
D 3
 
2.8%
T 3
 
2.8%
L 2
 
1.9%
M 2
 
1.9%
R 1
 
0.9%
K 1
 
0.9%
Other values (3) 3
 
2.8%
Decimal Number
ValueCountFrequency (%)
1 2053
33.5%
2 758
 
12.4%
4 568
 
9.3%
3 515
 
8.4%
5 494
 
8.1%
8 402
 
6.6%
0 361
 
5.9%
9 353
 
5.8%
6 334
 
5.4%
7 294
 
4.8%
Lowercase Letter
ValueCountFrequency (%)
e 3
17.6%
w 2
11.8%
r 2
11.8%
g 2
11.8%
o 2
11.8%
s 2
11.8%
a 1
 
5.9%
i 1
 
5.9%
l 1
 
5.9%
t 1
 
5.9%
Space Separator
ValueCountFrequency (%)
7176
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1109
100.0%
Close Punctuation
ValueCountFrequency (%)
) 44
100.0%
Open Punctuation
ValueCountFrequency (%)
( 43
100.0%
Other Punctuation
ValueCountFrequency (%)
, 16
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 22507
60.6%
Common 14520
39.1%
Latin 123
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
로 1948
 
8.7%
종 1832
 
8.1%
서 1670
 
7.4%
구 1646
 
7.3%
울 1645
 
7.3%
시 1633
 
7.3%
특 1626
 
7.2%
별 1626
 
7.2%
동 1422
 
6.3%
사 387
 
1.7%
Other values (246) 7072
31.4%
Latin
ValueCountFrequency (%)
S 28
22.8%
G 27
22.0%
B 26
21.1%
A 10
 
8.1%
D 3
 
2.4%
e 3
 
2.4%
T 3
 
2.4%
L 2
 
1.6%
M 2
 
1.6%
w 2
 
1.6%
Other values (13) 17
13.8%
Common
ValueCountFrequency (%)
7176
49.4%
1 2053
 
14.1%
- 1109
 
7.6%
2 758
 
5.2%
4 568
 
3.9%
3 515
 
3.5%
5 494
 
3.4%
8 402
 
2.8%
0 361
 
2.5%
9 353
 
2.4%
Other values (5) 731
 
5.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 22507
60.6%
ASCII 14643
39.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
7176
49.0%
1 2053
 
14.0%
- 1109
 
7.6%
2 758
 
5.2%
4 568
 
3.9%
3 515
 
3.5%
5 494
 
3.4%
8 402
 
2.7%
0 361
 
2.5%
9 353
 
2.4%
Other values (28) 854
 
5.8%
Hangul
ValueCountFrequency (%)
로 1948
 
8.7%
종 1832
 
8.1%
서 1670
 
7.4%
구 1646
 
7.3%
울 1645
 
7.3%
시 1633
 
7.3%
특 1626
 
7.2%
별 1626
 
7.2%
동 1422
 
6.3%
사 387
 
1.7%
Other values (246) 7072
31.4%

도로명주소
Text

MISSING 

Distinct857
Distinct (%)66.5%
Missing338
Missing (%)20.8%
Memory size12.8 KiB
2024-04-30T04:42:57.321081image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length63
Median length50
Mean length31.962762
Min length21

Characters and Unicode

Total characters41200
Distinct characters312
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

Unique775 ?
Unique (%)60.1%

Sample

1st row서울특별시 종로구 율곡로20길 17 (충신동)
2nd row서울특별시 종로구 삼일대로 428 (낙원동)
3rd row서울특별시 종로구 이화장길 24 (이화동)
4th row서울특별시 종로구 창덕궁길 127 (원서동)
5th row서울특별시 종로구 종로35가길 22 (효제동)
ValueCountFrequency (%)
종로구 1290
 
15.3%
서울특별시 1289
 
15.3%
1층 574
 
6.8%
사직동 335
 
4.0%
5 247
 
2.9%
인왕산로 216
 
2.6%
지하1층 155
 
1.8%
4 134
 
1.6%
사직로8길 130
 
1.5%
평창동 99
 
1.2%
Other values (979) 3972
47.1%
2024-04-30T04:42:57.637599image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
7153
 
17.4%
로 2687
 
6.5%
종 1652
 
4.0%
1 1598
 
3.9%
서 1349
 
3.3%
울 1316
 
3.2%
) 1313
 
3.2%
( 1313
 
3.2%
구 1303
 
3.2%
시 1295
 
3.1%
Other values (302) 20221
49.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 24918
60.5%
Space Separator 7153
 
17.4%
Decimal Number 4857
 
11.8%
Close Punctuation 1313
 
3.2%
Open Punctuation 1313
 
3.2%
Other Punctuation 1253
 
3.0%
Dash Punctuation 191
 
0.5%
Uppercase Letter 167
 
0.4%
Lowercase Letter 34
 
0.1%
Math Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
로 2687
 
10.8%
종 1652
 
6.6%
서 1349
 
5.4%
울 1316
 
5.3%
구 1303
 
5.2%
시 1295
 
5.2%
특 1289
 
5.2%
별 1289
 
5.2%
동 1223
 
4.9%
층 908
 
3.6%
Other values (256) 10607
42.6%
Uppercase Letter
ValueCountFrequency (%)
S 46
27.5%
G 45
26.9%
B 39
23.4%
L 8
 
4.8%
A 7
 
4.2%
O 4
 
2.4%
D 3
 
1.8%
T 3
 
1.8%
C 2
 
1.2%
R 2
 
1.2%
Other values (7) 8
 
4.8%
Lowercase Letter
ValueCountFrequency (%)
g 7
20.6%
s 7
20.6%
e 4
11.8%
l 2
 
5.9%
i 2
 
5.9%
a 2
 
5.9%
t 2
 
5.9%
r 2
 
5.9%
o 2
 
5.9%
w 2
 
5.9%
Other values (2) 2
 
5.9%
Decimal Number
ValueCountFrequency (%)
1 1598
32.9%
5 608
 
12.5%
2 584
 
12.0%
3 473
 
9.7%
4 408
 
8.4%
8 315
 
6.5%
7 247
 
5.1%
0 242
 
5.0%
9 194
 
4.0%
6 188
 
3.9%
Other Punctuation
ValueCountFrequency (%)
, 1252
99.9%
& 1
 
0.1%
Space Separator
ValueCountFrequency (%)
7153
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1313
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1313
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 191
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 24918
60.5%
Common 16081
39.0%
Latin 201
 
0.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
로 2687
 
10.8%
종 1652
 
6.6%
서 1349
 
5.4%
울 1316
 
5.3%
구 1303
 
5.2%
시 1295
 
5.2%
특 1289
 
5.2%
별 1289
 
5.2%
동 1223
 
4.9%
층 908
 
3.6%
Other values (256) 10607
42.6%
Latin
ValueCountFrequency (%)
S 46
22.9%
G 45
22.4%
B 39
19.4%
L 8
 
4.0%
g 7
 
3.5%
s 7
 
3.5%
A 7
 
3.5%
O 4
 
2.0%
e 4
 
2.0%
D 3
 
1.5%
Other values (19) 31
15.4%
Common
ValueCountFrequency (%)
7153
44.5%
1 1598
 
9.9%
) 1313
 
8.2%
( 1313
 
8.2%
, 1252
 
7.8%
5 608
 
3.8%
2 584
 
3.6%
3 473
 
2.9%
4 408
 
2.5%
8 315
 
2.0%
Other values (7) 1064
 
6.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 24918
60.5%
ASCII 16282
39.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
7153
43.9%
1 1598
 
9.8%
) 1313
 
8.1%
( 1313
 
8.1%
, 1252
 
7.7%
5 608
 
3.7%
2 584
 
3.6%
3 473
 
2.9%
4 408
 
2.5%
8 315
 
1.9%
Other values (36) 1265
 
7.8%
Hangul
ValueCountFrequency (%)
로 2687
 
10.8%
종 1652
 
6.6%
서 1349
 
5.4%
울 1316
 
5.3%
구 1303
 
5.2%
시 1295
 
5.2%
특 1289
 
5.2%
별 1289
 
5.2%
동 1223
 
4.9%
층 908
 
3.6%
Other values (256) 10607
42.6%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct155
Distinct (%)12.1%
Missing350
Missing (%)21.5%
Infinite0
Infinite (%)0.0%
Mean3091.1308
Minimum3000
Maximum3198
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size14.4 KiB
2024-04-30T04:42:57.751408image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3000
5-th percentile3009
Q13028
median3079
Q33157
95-th percentile3182
Maximum3198
Range198
Interquartile range (IQR)129

Descriptive statistics

Standard deviation61.577659
Coefficient of variation (CV)0.019920755
Kurtosis-1.4687986
Mean3091.1308
Median Absolute Deviation (MAD)51
Skewness0.21351285
Sum3947374
Variance3791.8081
MonotonicityNot monotonic
2024-04-30T04:42:57.876979image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
3028 217
 
13.3%
3168 119
 
7.3%
3009 87
 
5.3%
3036 33
 
2.0%
3075 31
 
1.9%
3172 29
 
1.8%
3195 21
 
1.3%
3178 21
 
1.3%
3154 20
 
1.2%
3133 19
 
1.2%
Other values (145) 680
41.8%
(Missing) 350
21.5%
ValueCountFrequency (%)
3000 1
 
0.1%
3004 2
 
0.1%
3008 9
 
0.6%
3009 87
5.3%
3011 1
 
0.1%
3012 7
 
0.4%
3013 2
 
0.1%
3014 4
 
0.2%
3015 3
 
0.2%
3016 1
 
0.1%
ValueCountFrequency (%)
3198 2
 
0.1%
3197 8
 
0.5%
3196 2
 
0.1%
3195 21
1.3%
3194 2
 
0.1%
3193 1
 
0.1%
3192 2
 
0.1%
3191 4
 
0.2%
3190 1
 
0.1%
3189 10
0.6%

사업장명
Text

Distinct1350
Distinct (%)83.0%
Missing0
Missing (%)0.0%
Memory size12.8 KiB
2024-04-30T04:42:58.088960image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length42
Median length27
Mean length6.1321451
Min length1

Characters and Unicode

Total characters9977
Distinct characters691
Distinct categories10 ?
Distinct scripts4 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1239 ?
Unique (%)76.2%

Sample

1st row형제제유소
2nd row음성상회
3rd row동일상회
4th row일산농산
5th row실로암건강원
ValueCountFrequency (%)
주식회사 66
 
3.2%
주)성보수산 18
 
0.9%
씨엔 15
 
0.7%
서범권 14
 
0.7%
유농 14
 
0.7%
엠엔에이치(m&h 14
 
0.7%
성보수산 14
 
0.7%
그린f&b 11
 
0.5%
주)탐라엘에스유통 9
 
0.4%
마켓인 9
 
0.4%
Other values (1587) 1865
91.0%
2024-04-30T04:42:58.617079image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
422
 
4.2%
) 207
 
2.1%
주 207
 
2.1%
( 205
 
2.1%
이 198
 
2.0%
스 190
 
1.9%
점 136
 
1.4%
원 135
 
1.4%
사 127
 
1.3%
식 120
 
1.2%
Other values (681) 8030
80.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 8356
83.8%
Space Separator 422
 
4.2%
Lowercase Letter 343
 
3.4%
Uppercase Letter 288
 
2.9%
Close Punctuation 207
 
2.1%
Open Punctuation 205
 
2.1%
Decimal Number 90
 
0.9%
Other Punctuation 64
 
0.6%
Connector Punctuation 1
 
< 0.1%
Dash Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 207
 
2.5%
이 198
 
2.4%
스 190
 
2.3%
점 136
 
1.6%
원 135
 
1.6%
사 127
 
1.5%
식 120
 
1.4%
마 104
 
1.2%
산 101
 
1.2%
리 100
 
1.2%
Other values (610) 6938
83.0%
Uppercase Letter
ValueCountFrequency (%)
B 34
11.8%
F 27
 
9.4%
M 23
 
8.0%
E 22
 
7.6%
H 22
 
7.6%
S 20
 
6.9%
O 17
 
5.9%
R 15
 
5.2%
A 14
 
4.9%
T 13
 
4.5%
Other values (15) 81
28.1%
Lowercase Letter
ValueCountFrequency (%)
e 47
13.7%
i 31
 
9.0%
o 31
 
9.0%
a 30
 
8.7%
l 22
 
6.4%
t 20
 
5.8%
s 17
 
5.0%
n 17
 
5.0%
r 16
 
4.7%
c 15
 
4.4%
Other values (14) 97
28.3%
Decimal Number
ValueCountFrequency (%)
5 17
18.9%
1 16
17.8%
2 15
16.7%
3 11
12.2%
0 9
10.0%
4 6
 
6.7%
7 6
 
6.7%
6 4
 
4.4%
9 3
 
3.3%
8 3
 
3.3%
Other Punctuation
ValueCountFrequency (%)
& 40
62.5%
, 7
 
10.9%
. 7
 
10.9%
' 4
 
6.2%
? 3
 
4.7%
! 2
 
3.1%
/ 1
 
1.6%
Space Separator
ValueCountFrequency (%)
422
100.0%
Close Punctuation
ValueCountFrequency (%)
) 207
100.0%
Open Punctuation
ValueCountFrequency (%)
( 205
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 1
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 8355
83.7%
Common 990
 
9.9%
Latin 631
 
6.3%
Han 1
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 207
 
2.5%
이 198
 
2.4%
스 190
 
2.3%
점 136
 
1.6%
원 135
 
1.6%
사 127
 
1.5%
식 120
 
1.4%
마 104
 
1.2%
산 101
 
1.2%
리 100
 
1.2%
Other values (609) 6937
83.0%
Latin
ValueCountFrequency (%)
e 47
 
7.4%
B 34
 
5.4%
i 31
 
4.9%
o 31
 
4.9%
a 30
 
4.8%
F 27
 
4.3%
M 23
 
3.6%
E 22
 
3.5%
H 22
 
3.5%
l 22
 
3.5%
Other values (39) 342
54.2%
Common
ValueCountFrequency (%)
422
42.6%
) 207
20.9%
( 205
20.7%
& 40
 
4.0%
5 17
 
1.7%
1 16
 
1.6%
2 15
 
1.5%
3 11
 
1.1%
0 9
 
0.9%
, 7
 
0.7%
Other values (12) 41
 
4.1%
Han
ValueCountFrequency (%)
人 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 8352
83.7%
ASCII 1621
 
16.2%
Compat Jamo 3
 
< 0.1%
CJK 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
422
26.0%
) 207
 
12.8%
( 205
 
12.6%
e 47
 
2.9%
& 40
 
2.5%
B 34
 
2.1%
i 31
 
1.9%
o 31
 
1.9%
a 30
 
1.9%
F 27
 
1.7%
Other values (61) 547
33.7%
Hangul
ValueCountFrequency (%)
주 207
 
2.5%
이 198
 
2.4%
스 190
 
2.3%
점 136
 
1.6%
원 135
 
1.6%
사 127
 
1.5%
식 120
 
1.4%
마 104
 
1.2%
산 101
 
1.2%
리 100
 
1.2%
Other values (606) 6934
83.0%
Compat Jamo
ValueCountFrequency (%)
ㄹ 1
33.3%
ㅍ 1
33.3%
ㅊ 1
33.3%
CJK
ValueCountFrequency (%)
人 1
100.0%

최종수정일자
Date

Distinct1428
Distinct (%)87.8%
Missing0
Missing (%)0.0%
Memory size12.8 KiB
Minimum1999-03-12 00:00:00
Maximum2024-04-23 17:53:17
2024-04-30T04:42:58.745634image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T04:42:58.869097image/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 size12.8 KiB
I
829 
U
798 

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 829
51.0%
U 798
49.0%

Length

2024-04-30T04:42:58.994377image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:42:59.091784image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 829
51.0%
u 798
49.0%

데이터갱신일자
Date

Distinct676
Distinct (%)41.5%
Missing0
Missing (%)0.0%
Memory size12.8 KiB
Minimum2018-08-31 23:59:59
Maximum2023-12-04 00:09:00
2024-04-30T04:42:59.181108image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T04:42:59.293331image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업태구분명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size12.8 KiB
즉석판매제조가공업
1627 

Length

Max length9
Median length9
Mean length9
Min length9

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
즉석판매제조가공업 1627
100.0%

Length

2024-04-30T04:42:59.410763image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:42:59.502955image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
즉석판매제조가공업 1627
100.0%

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct781
Distinct (%)49.5%
Missing50
Missing (%)3.1%
Infinite0
Infinite (%)0.0%
Mean198427.21
Minimum195960.55
Maximum201890.64
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size14.4 KiB
2024-04-30T04:42:59.587439image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum195960.55
5-th percentile196745.7
Q1197179.33
median197802.71
Q3199894.45
95-th percentile201261.91
Maximum201890.64
Range5930.0903
Interquartile range (IQR)2715.1187

Descriptive statistics

Standard deviation1544.2768
Coefficient of variation (CV)0.0077825862
Kurtosis-1.0003062
Mean198427.21
Median Absolute Deviation (MAD)791.68273
Skewness0.59000289
Sum3.129197 × 108
Variance2384791
MonotonicityNot monotonic
2024-04-30T04:42:59.710823image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
197011.024973203 202
 
12.4%
197181.393301659 125
 
7.7%
197212.364862058 84
 
5.2%
197802.707703087 28
 
1.7%
199954.044722095 27
 
1.7%
197150.556560634 19
 
1.2%
197993.904628438 18
 
1.1%
197033.342782634 14
 
0.9%
198150.300374121 11
 
0.7%
201359.53353905 10
 
0.6%
Other values (771) 1039
63.9%
(Missing) 50
 
3.1%
ValueCountFrequency (%)
195960.546025512 1
0.1%
196048.515964041 1
0.1%
196112.95679095 1
0.1%
196116.651717549 2
0.1%
196168.301152027 1
0.1%
196182.175442793 1
0.1%
196188.676804345 1
0.1%
196218.667977951 1
0.1%
196236.595710431 1
0.1%
196236.984143988 2
0.1%
ValueCountFrequency (%)
201890.636280279 1
0.1%
201888.008721996 1
0.1%
201879.196380172 1
0.1%
201878.904978439 1
0.1%
201878.229258553 1
0.1%
201875.67290602 2
0.1%
201872.09144017 1
0.1%
201867.662550614 1
0.1%
201862.008296867 1
0.1%
201858.924974779 1
0.1%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct781
Distinct (%)49.5%
Missing50
Missing (%)3.1%
Infinite0
Infinite (%)0.0%
Mean452980.92
Minimum451678.79
Maximum456619.33
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size14.4 KiB
2024-04-30T04:42:59.828395image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum451678.79
5-th percentile451953.65
Q1452363.78
median452511.72
Q3453187.55
95-th percentile456055.21
Maximum456619.33
Range4940.5439
Interquartile range (IQR)823.76184

Descriptive statistics

Standard deviation1120.0412
Coefficient of variation (CV)0.0024726012
Kurtosis2.4107553
Mean452980.92
Median Absolute Deviation (MAD)331.18848
Skewness1.8209419
Sum7.1435091 × 108
Variance1254492.2
MonotonicityNot monotonic
2024-04-30T04:42:59.940857image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
452511.723704669 202
 
12.4%
452458.826651573 125
 
7.7%
456055.205802855 84
 
5.2%
452342.759828651 28
 
1.7%
453701.572334399 27
 
1.7%
451835.863444917 19
 
1.2%
452032.958591394 18
 
1.1%
452508.868972548 14
 
0.9%
452019.212642931 11
 
0.7%
452395.659064842 10
 
0.6%
Other values (771) 1039
63.9%
(Missing) 50
 
3.1%
ValueCountFrequency (%)
451678.787536538 1
 
0.1%
451749.506491834 1
 
0.1%
451805.0 1
 
0.1%
451813.489945391 2
 
0.1%
451814.424196043 1
 
0.1%
451824.57528566 1
 
0.1%
451827.179097237 1
 
0.1%
451834.553171381 1
 
0.1%
451835.863444917 19
1.2%
451838.986580618 2
 
0.1%
ValueCountFrequency (%)
456619.331399679 1
0.1%
456539.708373722 1
0.1%
456510.847272901 1
0.1%
456333.382551153 1
0.1%
456309.265884524 1
0.1%
456231.523051187 1
0.1%
456211.92274867 1
0.1%
456108.810250198 1
0.1%
456087.178940076 1
0.1%
456074.16742758 1
0.1%

위생업태명
Categorical

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size12.8 KiB
즉석판매제조가공업
1087 
<NA>
540 

Length

Max length9
Median length9
Mean length7.340504
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
즉석판매제조가공업 1087
66.8%
<NA> 540
33.2%

Length

2024-04-30T04:43:00.062031image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:43:00.153333image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
즉석판매제조가공업 1087
66.8%
na 540
33.2%

남성종사자수
Categorical

IMBALANCE 

Distinct4
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size12.8 KiB
<NA>
1450 
0
161 
1
 
12
2
 
4

Length

Max length4
Median length4
Mean length3.6736325
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row2
3rd row<NA>
4th row<NA>
5th row0

Common Values

ValueCountFrequency (%)
<NA> 1450
89.1%
0 161
 
9.9%
1 12
 
0.7%
2 4
 
0.2%

Length

2024-04-30T04:43:00.244059image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:43:00.346665image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 1450
89.1%
0 161
 
9.9%
1 12
 
0.7%
2 4
 
0.2%

여성종사자수
Categorical

IMBALANCE 

Distinct3
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size12.8 KiB
<NA>
1455 
0
161 
1
 
11

Length

Max length4
Median length4
Mean length3.6828519
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 1455
89.4%
0 161
 
9.9%
1 11
 
0.7%

Length

2024-04-30T04:43:00.462897image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:43:00.564015image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 1455
89.4%
0 161
 
9.9%
1 11
 
0.7%

영업장주변구분명
Categorical

IMBALANCE 

Distinct4
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size12.8 KiB
<NA>
1514 
기타
 
100
주택가주변
 
11
유흥업소밀집지역
 
2

Length

Max length8
Median length4
Mean length3.8887523
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 1514
93.1%
기타 100
 
6.1%
주택가주변 11
 
0.7%
유흥업소밀집지역 2
 
0.1%

Length

2024-04-30T04:43:00.677923image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:43:00.782804image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 1514
93.1%
기타 100
 
6.1%
주택가주변 11
 
0.7%
유흥업소밀집지역 2
 
0.1%

등급구분명
Categorical

IMBALANCE 

Distinct5
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size12.8 KiB
<NA>
1514 
기타
 
108
자율
 
2
우수
 
2
을
 
1

Length

Max length4
Median length4
Mean length3.8604794
Min length1

Unique

Unique1 ?
Unique (%)0.1%

Sample

1st row기타
2nd row자율
3rd row기타
4th row기타
5th row기타

Common Values

ValueCountFrequency (%)
<NA> 1514
93.1%
기타 108
 
6.6%
자율 2
 
0.1%
우수 2
 
0.1%
을 1
 
0.1%

Length

2024-04-30T04:43:00.883834image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:43:00.983516image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 1514
93.1%
기타 108
 
6.6%
자율 2
 
0.1%
우수 2
 
0.1%
을 1
 
0.1%

급수시설구분명
Categorical

IMBALANCE 

Distinct3
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size12.8 KiB
<NA>
1497 
상수도전용
 
129
지하수전용
 
1

Length

Max length5
Median length4
Mean length4.0799017
Min length4

Unique

Unique1 ?
Unique (%)0.1%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 1497
92.0%
상수도전용 129
 
7.9%
지하수전용 1
 
0.1%

Length

2024-04-30T04:43:01.089267image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:43:01.187263image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 1497
92.0%
상수도전용 129
 
7.9%
지하수전용 1
 
0.1%

총인원
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size12.8 KiB
<NA>
1526 
0
 
101

Length

Max length4
Median length4
Mean length3.8137677
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> 1526
93.8%
0 101
 
6.2%

Length

2024-04-30T04:43:01.291169image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:43:01.387347image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 1526
93.8%
0 101
 
6.2%

본사종업원수
Categorical

IMBALANCE 

Distinct4
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size12.8 KiB
<NA>
1221 
0
394 
1
 
9
2
 
3

Length

Max length4
Median length4
Mean length3.2513829
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 1221
75.0%
0 394
 
24.2%
1 9
 
0.6%
2 3
 
0.2%

Length

2024-04-30T04:43:01.498489image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:43:01.620396image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 1221
75.0%
0 394
 
24.2%
1 9
 
0.6%
2 3
 
0.2%

공장사무직종업원수
Categorical

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size12.8 KiB
<NA>
1230 
0
397 

Length

Max length4
Median length4
Mean length3.2679779
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 1230
75.6%
0 397
 
24.4%

Length

2024-04-30T04:43:01.739697image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:43:01.852922image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 1230
75.6%
0 397
 
24.4%

공장판매직종업원수
Categorical

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size12.8 KiB
<NA>
1230 
0
397 

Length

Max length4
Median length4
Mean length3.2679779
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 1230
75.6%
0 397
 
24.4%

Length

2024-04-30T04:43:01.956925image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:43:02.061854image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 1230
75.6%
0 397
 
24.4%

공장생산직종업원수
Categorical

Distinct3
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size12.8 KiB
<NA>
1229 
0
397 
1
 
1

Length

Max length4
Median length4
Mean length3.266134
Min length1

Unique

Unique1 ?
Unique (%)0.1%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 1229
75.5%
0 397
 
24.4%
1 1
 
0.1%

Length

2024-04-30T04:43:02.165256image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:43:02.256668image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 1229
75.5%
0 397
 
24.4%
1 1
 
0.1%

건물소유구분명
Categorical

Distinct3
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size12.8 KiB
<NA>
956 
임대
368 
자가
303 

Length

Max length4
Median length4
Mean length3.175169
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> 956
58.8%
임대 368
 
22.6%
자가 303
 
18.6%

Length

2024-04-30T04:43:02.363873image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:43:02.473777image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 956
58.8%
임대 368
 
22.6%
자가 303
 
18.6%

보증액
Categorical

IMBALANCE 

Distinct5
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size12.8 KiB
<NA>
1443 
0
181 
15000000
 
1
8000000
 
1
10000000
 
1

Length

Max length8
Median length4
Mean length3.6730178
Min length1

Unique

Unique3 ?
Unique (%)0.2%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 1443
88.7%
0 181
 
11.1%
15000000 1
 
0.1%
8000000 1
 
0.1%
10000000 1
 
0.1%

Length

2024-04-30T04:43:02.579259image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:43:02.686658image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 1443
88.7%
0 181
 
11.1%
15000000 1
 
0.1%
8000000 1
 
0.1%
10000000 1
 
0.1%

월세액
Categorical

IMBALANCE 

Distinct4
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size12.8 KiB
<NA>
1443 
0
181 
450000
 
2
500000
 
1

Length

Max length6
Median length4
Mean length3.6699447
Min length1

Unique

Unique1 ?
Unique (%)0.1%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 1443
88.7%
0 181
 
11.1%
450000 2
 
0.1%
500000 1
 
0.1%

Length

2024-04-30T04:43:02.803040image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:43:02.900478image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 1443
88.7%
0 181
 
11.1%
450000 2
 
0.1%
500000 1
 
0.1%

다중이용업소여부
Boolean

CONSTANT  MISSING 

Distinct1
Distinct (%)0.1%
Missing540
Missing (%)33.2%
Memory size3.3 KiB
False
1087 
(Missing)
540 
ValueCountFrequency (%)
False 1087
66.8%
(Missing) 540
33.2%
2024-04-30T04:43:02.977366image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

시설총규모
Real number (ℝ)

MISSING  ZEROS 

Distinct7
Distinct (%)0.6%
Missing540
Missing (%)33.2%
Infinite0
Infinite (%)0.0%
Mean0.038058878
Minimum0
Maximum13.82
Zeros1081
Zeros (%)66.4%
Negative0
Negative (%)0.0%
Memory size14.4 KiB
2024-04-30T04:43:03.045825image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum13.82
Range13.82
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.63339595
Coefficient of variation (CV)16.642528
Kurtosis390.93358
Mean0.038058878
Median Absolute Deviation (MAD)0
Skewness19.227896
Sum41.37
Variance0.40119043
MonotonicityNot monotonic
2024-04-30T04:43:03.318522image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
0.0 1081
66.4%
2.0 1
 
0.1%
0.77 1
 
0.1%
5.56 1
 
0.1%
6.0 1
 
0.1%
13.22 1
 
0.1%
13.82 1
 
0.1%
(Missing) 540
33.2%
ValueCountFrequency (%)
0.0 1081
66.4%
0.77 1
 
0.1%
2.0 1
 
0.1%
5.56 1
 
0.1%
6.0 1
 
0.1%
13.22 1
 
0.1%
13.82 1
 
0.1%
ValueCountFrequency (%)
13.82 1
 
0.1%
13.22 1
 
0.1%
6.0 1
 
0.1%
5.56 1
 
0.1%
2.0 1
 
0.1%
0.77 1
 
0.1%
0.0 1081
66.4%

전통업소지정번호
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1627
Missing (%)100.0%
Memory size14.4 KiB

전통업소주된음식
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1627
Missing (%)100.0%
Memory size14.4 KiB

홈페이지
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1627
Missing (%)100.0%
Memory size14.4 KiB

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)위생업태명남성종사자수여성종사자수영업장주변구분명등급구분명급수시설구분명총인원본사종업원수공장사무직종업원수공장판매직종업원수공장생산직종업원수건물소유구분명보증액월세액다중이용업소여부시설총규모전통업소지정번호전통업소주된음식홈페이지
030000003000000-107-1977-0002219770711<NA>3폐업2폐업20150414<NA><NA><NA>02 7627051<NA>110845서울특별시 종로구 충신동 135-0서울특별시 종로구 율곡로20길 17 (충신동)3123형제제유소2005-06-20 00:00:00I2018-08-31 23:59:59.0즉석판매제조가공업200324.490312452513.671524즉석판매제조가공업0<NA>기타기타상수도전용<NA>0000<NA><NA><NA>N0.0<NA><NA><NA>
130000003000000-107-1977-0004819770901<NA>3폐업2폐업19971103<NA><NA><NA>02 7636116<NA>110861서울특별시 종로구 창신동 17-13<NA><NA>음성상회2005-06-20 00:00:00I2018-08-31 23:59:59.0즉석판매제조가공업201259.540641452932.471254즉석판매제조가공업2<NA>기타자율상수도전용<NA><NA><NA><NA><NA><NA><NA><NA>N0.0<NA><NA><NA>
230000003000000-107-1994-0004719940813<NA>3폐업2폐업20060817<NA><NA><NA>02 7479844<NA>110800서울특별시 종로구 계동 62-2<NA><NA>동일상회2006-09-22 00:00:00I2018-08-31 23:59:59.0즉석판매제조가공업198755.967897453296.424485즉석판매제조가공업<NA><NA>기타기타상수도전용<NA>0000<NA><NA><NA>N0.0<NA><NA><NA>
330000003000000-107-1994-0005119940409<NA>1영업/정상1영업<NA><NA><NA><NA>02 7421943<NA>110320서울특별시 종로구 낙원동 284-6서울특별시 종로구 삼일대로 428 (낙원동)3140일산농산2018-05-23 09:49:21I2018-08-31 23:59:59.0즉석판매제조가공업198852.959717452253.942585즉석판매제조가공업<NA><NA>기타기타상수도전용<NA>0000<NA><NA><NA>N0.0<NA><NA><NA>
430000003000000-107-1994-0027819940615<NA>3폐업2폐업20010208<NA><NA><NA>02 1001000<NA>110035서울특별시 종로구 옥인동 149-0<NA><NA>실로암건강원2005-06-20 00:00:00I2018-08-31 23:59:59.0즉석판매제조가공업<NA><NA>즉석판매제조가공업00기타기타<NA><NA><NA><NA><NA><NA><NA><NA><NA>N0.0<NA><NA><NA>
530000003000000-107-1995-000011995-02-11<NA>1영업/정상1영업<NA><NA><NA><NA><NA><NA>110-500서울특별시 종로구 이화동 137-1서울특별시 종로구 이화장길 24 (이화동)3100온양방아간2023-10-23 10:48:41U2022-10-30 22:05:00.0즉석판매제조가공업200264.060232452716.197321<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
630000003000000-107-1996-0002319960723<NA>1영업/정상1영업<NA><NA><NA><NA>02 7631332<NA>110280서울특별시 종로구 원서동 76-53서울특별시 종로구 창덕궁길 127 (원서동)3057풍년식품2018-03-12 11:42:11I2018-08-31 23:59:59.0즉석판매제조가공업198947.8808453398.131706즉석판매제조가공업11주택가주변우수상수도전용<NA>0000<NA><NA><NA>N0.0<NA><NA><NA>
730000003000000-107-1996-0002519961029<NA>3폐업2폐업19970116<NA><NA><NA>02 0<NA>110102서울특별시 종로구 평동 13-65<NA><NA>진미도시락2005-06-20 00:00:00I2018-08-31 23:59:59.0즉석판매제조가공업196906.719666451749.506492즉석판매제조가공업<NA><NA>주택가주변을상수도전용<NA><NA><NA><NA><NA><NA><NA><NA>N0.0<NA><NA><NA>
830000003000000-107-1996-0003019961218<NA>1영업/정상1영업<NA><NA><NA><NA>02 7661505<NA>110850서울특별시 종로구 효제동 174-13서울특별시 종로구 종로35가길 22 (효제동)3126우진탕제원2018-04-26 10:49:42I2018-08-31 23:59:59.0즉석판매제조가공업200390.189311452173.162829즉석판매제조가공업1<NA>기타기타상수도전용<NA>0000<NA><NA><NA>N0.0<NA><NA><NA>
930000003000000-107-1996-0005319960807<NA>3폐업2폐업20030613<NA><NA><NA>0222343848<NA>110826서울특별시 종로구 숭인동 217-2<NA><NA>제일농산2005-06-20 00:00:00I2018-08-31 23:59:59.0즉석판매제조가공업201672.369577452336.359033즉석판매제조가공업00기타기타상수도전용<NA><NA><NA><NA><NA><NA><NA><NA>N0.0<NA><NA><NA>
개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)위생업태명남성종사자수여성종사자수영업장주변구분명등급구분명급수시설구분명총인원본사종업원수공장사무직종업원수공장판매직종업원수공장생산직종업원수건물소유구분명보증액월세액다중이용업소여부시설총규모전통업소지정번호전통업소주된음식홈페이지
161730000003000000-107-2024-000232024-03-29<NA>1영업/정상1영업<NA><NA><NA><NA><NA>3.3110-819서울특별시 종로구 부암동 342-11서울특별시 종로구 창의문로5다길 22-28, B1층 (부암동)3022뿌리온더플레이트2024-03-29 14:08:30I2023-12-02 21:01:00.0즉석판매제조가공업196636.499888454038.57014<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
161830000003000000-107-2024-000242024-04-01<NA>1영업/정상1영업<NA><NA><NA><NA><NA>16.5110-126서울특별시 종로구 종로6가 203-3서울특별시 종로구 율곡로29길 10, 1층 (종로6가)3099리틀선샤인2024-04-01 13:50:25I2023-12-04 00:03:00.0즉석판매제조가공업200584.538189452411.33549<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
161930000003000000-107-2024-000252024-04-02<NA>3폐업2폐업2024-04-06<NA><NA><NA><NA><NA>110-062서울특별시 종로구 신문로2가 170 국도빌딩서울특별시 종로구 송월길 14-3, 돈의문박물관마을 (신문로2가)3178요고해바2024-04-07 04:15:09U2023-12-04 00:09:00.0즉석판매제조가공업197150.556561451835.863445<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
162030000003000000-107-2024-000262024-04-02<NA>3폐업2폐업2024-04-06<NA><NA><NA><NA><NA>110-062서울특별시 종로구 신문로2가 170 돈의문박물관마을서울특별시 종로구 송월길 20-7, 돈의문박물관마을 (신문로2가)3178달까당2024-04-07 04:15:09U2023-12-04 00:09:00.0즉석판매제조가공업197153.202934451873.704906<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
162130000003000000-107-2024-000272024-04-03<NA>1영업/정상1영업<NA><NA><NA><NA><NA>39.6110-836서울특별시 종로구 종로5가 398-8서울특별시 종로구 종로32길 25-1, 2층 (종로5가)3195총각네 붕어빵2024-04-03 15:04:11I2023-12-04 00:05:00.0즉석판매제조가공업200062.179638451954.169394<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
162230000003000000-107-2024-000282024-04-03<NA>3폐업2폐업2024-04-06<NA><NA><NA><NA>0.0110-062서울특별시 종로구 신문로2가 170 국도빌딩서울특별시 종로구 송월길 14-3, 돈의문박물관 (신문로2가)3178선물같은하루2024-04-07 04:15:09U2023-12-04 00:09:00.0즉석판매제조가공업197150.556561451835.863445<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
162330000003000000-107-2024-000292024-04-19<NA>1영업/정상1영업<NA><NA><NA><NA><NA>3.0110-033서울특별시 종로구 효자동 54 효자빌딩서울특별시 종로구 자하문로 70, 효자빌딩 1층 (효자동)3042리셉션2024-04-19 10:57:35I2023-12-03 22:01:00.0즉석판매제조가공업197371.887813453324.664252<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
162430000003000000-107-2024-000302024-04-19<NA>3폐업2폐업2024-04-21<NA><NA><NA><NA>0.0110-062서울특별시 종로구 신문로2가 170 국도빌딩서울특별시 종로구 송월길 14-3, 돈의문박물관마을 (신문로2가)3178엘따뻬오2024-04-22 04:15:09U2023-12-03 22:04:00.0즉석판매제조가공업197150.556561451835.863445<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
162530000003000000-107-2024-000312024-04-19<NA>1영업/정상1영업<NA><NA><NA><NA><NA>8.75110-033서울특별시 종로구 효자동 30서울특별시 종로구 자하문로 66-1, 1층 (효자동)3042스튜디오 하경2024-04-19 17:27:07I2023-12-03 22:01:00.0즉석판매제조가공업197366.72271453296.763208<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
162630000003000000-107-2024-000322024-04-23<NA>1영업/정상1영업<NA><NA><NA><NA><NA>12.0110-340서울특별시 종로구 익선동 166-65서울특별시 종로구 수표로28길 17-16, 1층 (익선동)3133트리투바2024-04-23 17:53:17I2023-12-03 22:05:00.0즉석판매제조가공업199011.77395452326.214685<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>