Overview

Dataset statistics

Number of variables44
Number of observations5887
Missing cells57136
Missing cells (%)22.1%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory2.1 MiB
Average record size in memory376.0 B

Variable types

Categorical20
Text6
DateTime4
Unsupported7
Numeric6
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
Author중구
URLhttps://data.seoul.go.kr/dataList/OA-18428/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
다중이용업소여부 has constant value ""Constant
영업상태코드 is highly imbalanced (60.0%)Imbalance
영업상태명 is highly imbalanced (60.0%)Imbalance
상세영업상태코드 is highly imbalanced (60.0%)Imbalance
상세영업상태명 is highly imbalanced (60.0%)Imbalance
업태구분명 is highly imbalanced (98.9%)Imbalance
위생업태명 is highly imbalanced (64.7%)Imbalance
남성종사자수 is highly imbalanced (77.6%)Imbalance
여성종사자수 is highly imbalanced (80.7%)Imbalance
영업장주변구분명 is highly imbalanced (88.8%)Imbalance
등급구분명 is highly imbalanced (88.6%)Imbalance
급수시설구분명 is highly imbalanced (74.6%)Imbalance
총인원 is highly imbalanced (67.5%)Imbalance
본사종업원수 is highly imbalanced (73.3%)Imbalance
공장사무직종업원수 is highly imbalanced (73.5%)Imbalance
공장생산직종업원수 is highly imbalanced (69.7%)Imbalance
인허가취소일자 has 5887 (100.0%) missing valuesMissing
폐업일자 has 467 (7.9%) missing valuesMissing
휴업시작일자 has 5887 (100.0%) missing valuesMissing
휴업종료일자 has 5887 (100.0%) missing valuesMissing
재개업일자 has 5887 (100.0%) missing valuesMissing
전화번호 has 3838 (65.2%) missing valuesMissing
소재지면적 has 2200 (37.4%) missing valuesMissing
도로명주소 has 1155 (19.6%) missing valuesMissing
도로명우편번호 has 1163 (19.8%) missing valuesMissing
좌표정보(X) has 182 (3.1%) missing valuesMissing
좌표정보(Y) has 182 (3.1%) missing valuesMissing
공장판매직종업원수 has 4555 (77.4%) missing valuesMissing
다중이용업소여부 has 1086 (18.4%) missing valuesMissing
시설총규모 has 1086 (18.4%) missing valuesMissing
전통업소지정번호 has 5887 (100.0%) missing valuesMissing
전통업소주된음식 has 5887 (100.0%) missing valuesMissing
홈페이지 has 5887 (100.0%) missing valuesMissing
도로명우편번호 is highly skewed (γ1 = 65.60475452)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 548 (9.3%) zerosZeros
공장판매직종업원수 has 1015 (17.2%) zerosZeros
시설총규모 has 3950 (67.1%) zerosZeros

Reproduction

Analysis started2024-05-18 02:32:16.803630
Analysis finished2024-05-18 02:32:21.096213
Duration4.29 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size46.1 KiB
3010000
5887 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3010000
2nd row3010000
3rd row3010000
4th row3010000
5th row3010000

Common Values

ValueCountFrequency (%)
3010000 5887
100.0%

Length

2024-05-18T11:32:21.286214image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-18T11:32:21.566244image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3010000 5887
100.0%

관리번호
Text

UNIQUE 

Distinct5887
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size46.1 KiB
2024-05-18T11:32:22.081243image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length22
Median length22
Mean length22
Min length22

Characters and Unicode

Total characters129514
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

Unique5887 ?
Unique (%)100.0%

Sample

1st row3010000-107-1970-00162
2nd row3010000-107-1972-00001
3rd row3010000-107-1973-00156
4th row3010000-107-1980-00001
5th row3010000-107-1981-00157
ValueCountFrequency (%)
3010000-107-1970-00162 1
 
< 0.1%
3010000-107-2020-00041 1
 
< 0.1%
3010000-107-2020-00061 1
 
< 0.1%
3010000-107-2020-00060 1
 
< 0.1%
3010000-107-2020-00059 1
 
< 0.1%
3010000-107-2020-00058 1
 
< 0.1%
3010000-107-2020-00057 1
 
< 0.1%
3010000-107-2020-00056 1
 
< 0.1%
3010000-107-2020-00055 1
 
< 0.1%
3010000-107-2020-00054 1
 
< 0.1%
Other values (5877) 5877
99.8%
2024-05-18T11:32:23.062006image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 58002
44.8%
- 17661
 
13.6%
1 17600
 
13.6%
2 10343
 
8.0%
3 8470
 
6.5%
7 7720
 
6.0%
9 2331
 
1.8%
4 2092
 
1.6%
8 1847
 
1.4%
6 1735
 
1.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 111853
86.4%
Dash Punctuation 17661
 
13.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 58002
51.9%
1 17600
 
15.7%
2 10343
 
9.2%
3 8470
 
7.6%
7 7720
 
6.9%
9 2331
 
2.1%
4 2092
 
1.9%
8 1847
 
1.7%
6 1735
 
1.6%
5 1713
 
1.5%
Dash Punctuation
ValueCountFrequency (%)
- 17661
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 129514
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 58002
44.8%
- 17661
 
13.6%
1 17600
 
13.6%
2 10343
 
8.0%
3 8470
 
6.5%
7 7720
 
6.0%
9 2331
 
1.8%
4 2092
 
1.6%
8 1847
 
1.4%
6 1735
 
1.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 129514
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 58002
44.8%
- 17661
 
13.6%
1 17600
 
13.6%
2 10343
 
8.0%
3 8470
 
6.5%
7 7720
 
6.0%
9 2331
 
1.8%
4 2092
 
1.6%
8 1847
 
1.4%
6 1735
 
1.3%

인허가일자
Date

Distinct3011
Distinct (%)51.1%
Missing0
Missing (%)0.0%
Memory size46.1 KiB
Minimum1970-11-18 00:00:00
Maximum2024-05-16 00:00:00
2024-05-18T11:32:23.588100image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T11:32:24.196806image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing5887
Missing (%)100.0%
Memory size51.9 KiB

영업상태코드
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size46.1 KiB
3
5420 
1
 
467

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
3 5420
92.1%
1 467
 
7.9%

Length

2024-05-18T11:32:24.668174image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-18T11:32:25.009626image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 5420
92.1%
1 467
 
7.9%

영업상태명
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size46.1 KiB
폐업
5420 
영업/정상
 
467

Length

Max length5
Median length2
Mean length2.237982
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 5420
92.1%
영업/정상 467
 
7.9%

Length

2024-05-18T11:32:25.310686image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-18T11:32:25.735755image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 5420
92.1%
영업/정상 467
 
7.9%

상세영업상태코드
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size46.1 KiB
2
5420 
1
 
467

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
2 5420
92.1%
1 467
 
7.9%

Length

2024-05-18T11:32:26.044460image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-18T11:32:26.429983image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2 5420
92.1%
1 467
 
7.9%

상세영업상태명
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size46.1 KiB
폐업
5420 
영업
 
467

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 5420
92.1%
영업 467
 
7.9%

Length

2024-05-18T11:32:26.728302image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-18T11:32:27.071918image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 5420
92.1%
영업 467
 
7.9%

폐업일자
Date

MISSING 

Distinct2703
Distinct (%)49.9%
Missing467
Missing (%)7.9%
Memory size46.1 KiB
Minimum1996-03-18 00:00:00
Maximum2024-05-16 00:00:00
2024-05-18T11:32:27.411849image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T11:32:27.876554image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing5887
Missing (%)100.0%
Memory size51.9 KiB

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing5887
Missing (%)100.0%
Memory size51.9 KiB

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing5887
Missing (%)100.0%
Memory size51.9 KiB

전화번호
Text

MISSING 

Distinct1336
Distinct (%)65.2%
Missing3838
Missing (%)65.2%
Memory size46.1 KiB
2024-05-18T11:32:28.759807image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length11
Mean length10.876525
Min length2

Characters and Unicode

Total characters22286
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

Unique1115 ?
Unique (%)54.4%

Sample

1st row02 3125589
2nd row0222640864
3rd row02 2345461
4th row0222347621
5th row02 0
ValueCountFrequency (%)
02 878
 
21.3%
031 233
 
5.6%
032 76
 
1.8%
070 73
 
1.8%
042 44
 
1.1%
062 42
 
1.0%
7910 32
 
0.8%
22816340 32
 
0.8%
936 31
 
0.8%
473 26
 
0.6%
Other values (1531) 2658
64.4%
2024-05-18T11:32:30.483936image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 4142
18.6%
0 3710
16.6%
2655
11.9%
3 2229
10.0%
1 1705
7.7%
7 1504
 
6.7%
5 1489
 
6.7%
6 1342
 
6.0%
4 1295
 
5.8%
8 1188
 
5.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 19631
88.1%
Space Separator 2655
 
11.9%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 4142
21.1%
0 3710
18.9%
3 2229
11.4%
1 1705
8.7%
7 1504
 
7.7%
5 1489
 
7.6%
6 1342
 
6.8%
4 1295
 
6.6%
8 1188
 
6.1%
9 1027
 
5.2%
Space Separator
ValueCountFrequency (%)
2655
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 22286
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
2 4142
18.6%
0 3710
16.6%
2655
11.9%
3 2229
10.0%
1 1705
7.7%
7 1504
 
6.7%
5 1489
 
6.7%
6 1342
 
6.0%
4 1295
 
5.8%
8 1188
 
5.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 22286
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 4142
18.6%
0 3710
16.6%
2655
11.9%
3 2229
10.0%
1 1705
7.7%
7 1504
 
6.7%
5 1489
 
6.7%
6 1342
 
6.0%
4 1295
 
5.8%
8 1188
 
5.3%

소재지면적
Real number (ℝ)

MISSING  ZEROS 

Distinct573
Distinct (%)15.5%
Missing2200
Missing (%)37.4%
Infinite0
Infinite (%)0.0%
Mean11.025525
Minimum0
Maximum608
Zeros548
Zeros (%)9.3%
Negative0
Negative (%)0.0%
Memory size51.9 KiB
2024-05-18T11:32:31.123893image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q13.3
median6
Q312
95-th percentile39.761
Maximum608
Range608
Interquartile range (IQR)8.7

Descriptive statistics

Standard deviation20.423624
Coefficient of variation (CV)1.8523947
Kurtosis249.07352
Mean11.025525
Median Absolute Deviation (MAD)3.9
Skewness11.234299
Sum40651.11
Variance417.12441
MonotonicityNot monotonic
2024-05-18T11:32:31.694578image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
3.3 710
 
12.1%
0.0 548
 
9.3%
6.6 234
 
4.0%
9.9 115
 
2.0%
6.0 102
 
1.7%
3.0 98
 
1.7%
9.0 91
 
1.5%
10.0 85
 
1.4%
5.0 70
 
1.2%
4.0 61
 
1.0%
Other values (563) 1573
26.7%
(Missing) 2200
37.4%
ValueCountFrequency (%)
0.0 548
9.3%
0.1 1
 
< 0.1%
0.3 1
 
< 0.1%
0.5 1
 
< 0.1%
0.7 1
 
< 0.1%
0.75 1
 
< 0.1%
0.8 1
 
< 0.1%
0.87 1
 
< 0.1%
0.97 1
 
< 0.1%
1.0 10
 
0.2%
ValueCountFrequency (%)
608.0 1
< 0.1%
396.0 1
< 0.1%
277.0 1
< 0.1%
224.0 1
< 0.1%
175.0 1
< 0.1%
171.7 1
< 0.1%
150.0 2
< 0.1%
132.6 1
< 0.1%
132.0 1
< 0.1%
126.13 1
< 0.1%

소재지우편번호
Text

Distinct228
Distinct (%)3.9%
Missing7
Missing (%)0.1%
Memory size46.1 KiB
2024-05-18T11:32:32.552634image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length6
Mean length6.1215986
Min length6

Characters and Unicode

Total characters35995
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

Unique76 ?
Unique (%)1.3%

Sample

1st row100858
2nd row100310
3rd row100827
4th row100869
5th row100827
ValueCountFrequency (%)
100011 1268
21.6%
100070 1055
17.9%
100440 577
9.8%
100747 466
 
7.9%
100850 420
 
7.1%
100162 401
 
6.8%
100-747 163
 
2.8%
100-011 160
 
2.7%
100869 119
 
2.0%
100-070 89
 
1.5%
Other values (218) 1162
19.8%
2024-05-18T11:32:33.860221image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 16983
47.2%
1 9615
26.7%
7 2549
 
7.1%
4 2161
 
6.0%
8 1316
 
3.7%
- 715
 
2.0%
2 705
 
2.0%
6 700
 
1.9%
5 660
 
1.8%
9 335
 
0.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 35280
98.0%
Dash Punctuation 715
 
2.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 16983
48.1%
1 9615
27.3%
7 2549
 
7.2%
4 2161
 
6.1%
8 1316
 
3.7%
2 705
 
2.0%
6 700
 
2.0%
5 660
 
1.9%
9 335
 
0.9%
3 256
 
0.7%
Dash Punctuation
ValueCountFrequency (%)
- 715
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 35995
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 16983
47.2%
1 9615
26.7%
7 2549
 
7.1%
4 2161
 
6.0%
8 1316
 
3.7%
- 715
 
2.0%
2 705
 
2.0%
6 700
 
1.9%
5 660
 
1.8%
9 335
 
0.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 35995
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 16983
47.2%
1 9615
26.7%
7 2549
 
7.1%
4 2161
 
6.0%
8 1316
 
3.7%
- 715
 
2.0%
2 705
 
2.0%
6 700
 
1.9%
5 660
 
1.8%
9 335
 
0.9%

지번주소
Text

Distinct1532
Distinct (%)26.0%
Missing6
Missing (%)0.1%
Memory size46.1 KiB
2024-05-18T11:32:34.799210image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length50
Median length42
Mean length25.664173
Min length14

Characters and Unicode

Total characters150931
Distinct characters335
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

Unique1258 ?
Unique (%)21.4%

Sample

1st row서울특별시 중구 중림동 149-7
2nd row서울특별시 중구 오장동 69-18 1층
3rd row서울특별시 중구 신당동 367-8
4th row서울특별시 중구 황학동 730
5th row서울특별시 중구 신당동 367-6
ValueCountFrequency (%)
서울특별시 5880
18.9%
중구 5874
18.9%
충무로1가 2057
 
6.6%
52-5 1827
 
5.9%
지하1층 1274
 
4.1%
소공동 1146
 
3.7%
1 1112
 
3.6%
황학동 838
 
2.7%
신세계백화점 793
 
2.6%
롯데백화점 728
 
2.3%
Other values (1419) 9539
30.7%
2024-05-18T11:32:36.111551image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
29977
19.9%
1 7128
 
4.7%
시 6192
 
4.1%
울 6189
 
4.1%
서 6056
 
4.0%
중 5942
 
3.9%
구 5887
 
3.9%
특 5884
 
3.9%
별 5882
 
3.9%
2 5826
 
3.9%
Other values (325) 65968
43.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 93913
62.2%
Space Separator 29977
 
19.9%
Decimal Number 23318
 
15.4%
Dash Punctuation 3399
 
2.3%
Uppercase Letter 135
 
0.1%
Open Punctuation 61
 
< 0.1%
Close Punctuation 61
 
< 0.1%
Lowercase Letter 39
 
< 0.1%
Other Punctuation 24
 
< 0.1%
Math Symbol 4
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
시 6192
 
6.6%
울 6189
 
6.6%
서 6056
 
6.4%
중 5942
 
6.3%
구 5887
 
6.3%
특 5884
 
6.3%
별 5882
 
6.3%
가 3354
 
3.6%
동 3352
 
3.6%
점 3336
 
3.6%
Other values (270) 41839
44.6%
Uppercase Letter
ValueCountFrequency (%)
B 21
15.6%
S 20
14.8%
G 19
14.1%
A 13
9.6%
E 8
 
5.9%
R 7
 
5.2%
F 7
 
5.2%
D 6
 
4.4%
C 6
 
4.4%
P 4
 
3.0%
Other values (11) 24
17.8%
Lowercase Letter
ValueCountFrequency (%)
e 7
17.9%
g 5
12.8%
s 5
12.8%
n 3
7.7%
r 3
7.7%
c 3
7.7%
a 3
7.7%
o 2
 
5.1%
t 2
 
5.1%
l 2
 
5.1%
Other values (4) 4
10.3%
Decimal Number
ValueCountFrequency (%)
1 7128
30.6%
2 5826
25.0%
5 5529
23.7%
4 1370
 
5.9%
6 836
 
3.6%
7 796
 
3.4%
3 677
 
2.9%
0 518
 
2.2%
8 338
 
1.4%
9 300
 
1.3%
Other Punctuation
ValueCountFrequency (%)
, 16
66.7%
. 5
 
20.8%
/ 1
 
4.2%
* 1
 
4.2%
@ 1
 
4.2%
Space Separator
ValueCountFrequency (%)
29977
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 3399
100.0%
Open Punctuation
ValueCountFrequency (%)
( 61
100.0%
Close Punctuation
ValueCountFrequency (%)
) 61
100.0%
Math Symbol
ValueCountFrequency (%)
~ 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 93913
62.2%
Common 56844
37.7%
Latin 174
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
시 6192
 
6.6%
울 6189
 
6.6%
서 6056
 
6.4%
중 5942
 
6.3%
구 5887
 
6.3%
특 5884
 
6.3%
별 5882
 
6.3%
가 3354
 
3.6%
동 3352
 
3.6%
점 3336
 
3.6%
Other values (270) 41839
44.6%
Latin
ValueCountFrequency (%)
B 21
 
12.1%
S 20
 
11.5%
G 19
 
10.9%
A 13
 
7.5%
E 8
 
4.6%
e 7
 
4.0%
R 7
 
4.0%
F 7
 
4.0%
D 6
 
3.4%
C 6
 
3.4%
Other values (25) 60
34.5%
Common
ValueCountFrequency (%)
29977
52.7%
1 7128
 
12.5%
2 5826
 
10.2%
5 5529
 
9.7%
- 3399
 
6.0%
4 1370
 
2.4%
6 836
 
1.5%
7 796
 
1.4%
3 677
 
1.2%
0 518
 
0.9%
Other values (10) 788
 
1.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 93913
62.2%
ASCII 57018
37.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
29977
52.6%
1 7128
 
12.5%
2 5826
 
10.2%
5 5529
 
9.7%
- 3399
 
6.0%
4 1370
 
2.4%
6 836
 
1.5%
7 796
 
1.4%
3 677
 
1.2%
0 518
 
0.9%
Other values (45) 962
 
1.7%
Hangul
ValueCountFrequency (%)
시 6192
 
6.6%
울 6189
 
6.6%
서 6056
 
6.4%
중 5942
 
6.3%
구 5887
 
6.3%
특 5884
 
6.3%
별 5882
 
6.3%
가 3354
 
3.6%
동 3352
 
3.6%
점 3336
 
3.6%
Other values (270) 41839
44.6%

도로명주소
Text

MISSING 

Distinct1253
Distinct (%)26.5%
Missing1155
Missing (%)19.6%
Memory size46.1 KiB
2024-05-18T11:32:36.579687image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length58
Median length52
Mean length34.755706
Min length20

Characters and Unicode

Total characters164464
Distinct characters336
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

Unique1045 ?
Unique (%)22.1%

Sample

1st row서울특별시 중구 을지로32길 36-11, 1층 (오장동)
2nd row서울특별시 중구 퇴계로 429 (황학동)
3rd row서울특별시 중구 퇴계로58길 8 (쌍림동)
4th row서울특별시 중구 마장로9길 17 (황학동)
5th row서울특별시 중구 을지로32길 35-5 (오장동)
ValueCountFrequency (%)
서울특별시 4731
 
14.6%
중구 4725
 
14.6%
지하1층 2380
 
7.3%
충무로1가 1780
 
5.5%
소공로 1659
 
5.1%
63 1654
 
5.1%
소공동 775
 
2.4%
지하2층 772
 
2.4%
남대문로 747
 
2.3%
81 736
 
2.3%
Other values (1100) 12508
38.5%
2024-05-18T11:32:37.532434image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
27759
 
16.9%
로 7103
 
4.3%
1 6878
 
4.2%
, 5086
 
3.1%
시 5065
 
3.1%
울 5036
 
3.1%
서 4915
 
3.0%
중 4788
 
2.9%
( 4767
 
2.9%
) 4766
 
2.9%
Other values (326) 88301
53.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 101503
61.7%
Space Separator 27759
 
16.9%
Decimal Number 20128
 
12.2%
Other Punctuation 5092
 
3.1%
Open Punctuation 4767
 
2.9%
Close Punctuation 4766
 
2.9%
Dash Punctuation 210
 
0.1%
Uppercase Letter 204
 
0.1%
Lowercase Letter 32
 
< 0.1%
Math Symbol 3
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
로 7103
 
7.0%
시 5065
 
5.0%
울 5036
 
5.0%
서 4915
 
4.8%
중 4788
 
4.7%
구 4753
 
4.7%
특 4737
 
4.7%
별 4733
 
4.7%
층 4280
 
4.2%
지 4114
 
4.1%
Other values (270) 51979
51.2%
Uppercase Letter
ValueCountFrequency (%)
B 65
31.9%
S 23
 
11.3%
G 22
 
10.8%
D 17
 
8.3%
A 12
 
5.9%
F 10
 
4.9%
E 8
 
3.9%
P 8
 
3.9%
L 8
 
3.9%
R 7
 
3.4%
Other values (11) 24
 
11.8%
Lowercase Letter
ValueCountFrequency (%)
s 5
15.6%
g 5
15.6%
e 5
15.6%
a 2
 
6.2%
o 2
 
6.2%
n 2
 
6.2%
r 2
 
6.2%
c 2
 
6.2%
b 2
 
6.2%
j 1
 
3.1%
Other values (4) 4
12.5%
Decimal Number
ValueCountFrequency (%)
1 6878
34.2%
3 2655
 
13.2%
2 2604
 
12.9%
6 2463
 
12.2%
0 2089
 
10.4%
4 1221
 
6.1%
8 1034
 
5.1%
7 585
 
2.9%
5 447
 
2.2%
9 152
 
0.8%
Other Punctuation
ValueCountFrequency (%)
, 5086
99.9%
? 2
 
< 0.1%
/ 1
 
< 0.1%
. 1
 
< 0.1%
: 1
 
< 0.1%
* 1
 
< 0.1%
Space Separator
ValueCountFrequency (%)
27759
100.0%
Open Punctuation
ValueCountFrequency (%)
( 4767
100.0%
Close Punctuation
ValueCountFrequency (%)
) 4766
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 210
100.0%
Math Symbol
ValueCountFrequency (%)
~ 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 101503
61.7%
Common 62725
38.1%
Latin 236
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
로 7103
 
7.0%
시 5065
 
5.0%
울 5036
 
5.0%
서 4915
 
4.8%
중 4788
 
4.7%
구 4753
 
4.7%
특 4737
 
4.7%
별 4733
 
4.7%
층 4280
 
4.2%
지 4114
 
4.1%
Other values (270) 51979
51.2%
Latin
ValueCountFrequency (%)
B 65
27.5%
S 23
 
9.7%
G 22
 
9.3%
D 17
 
7.2%
A 12
 
5.1%
F 10
 
4.2%
E 8
 
3.4%
P 8
 
3.4%
L 8
 
3.4%
R 7
 
3.0%
Other values (25) 56
23.7%
Common
ValueCountFrequency (%)
27759
44.3%
1 6878
 
11.0%
, 5086
 
8.1%
( 4767
 
7.6%
) 4766
 
7.6%
3 2655
 
4.2%
2 2604
 
4.2%
6 2463
 
3.9%
0 2089
 
3.3%
4 1221
 
1.9%
Other values (11) 2437
 
3.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 101503
61.7%
ASCII 62961
38.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
27759
44.1%
1 6878
 
10.9%
, 5086
 
8.1%
( 4767
 
7.6%
) 4766
 
7.6%
3 2655
 
4.2%
2 2604
 
4.1%
6 2463
 
3.9%
0 2089
 
3.3%
4 1221
 
1.9%
Other values (46) 2673
 
4.2%
Hangul
ValueCountFrequency (%)
로 7103
 
7.0%
시 5065
 
5.0%
울 5036
 
5.0%
서 4915
 
4.8%
중 4788
 
4.7%
구 4753
 
4.7%
특 4737
 
4.7%
별 4733
 
4.7%
층 4280
 
4.2%
지 4114
 
4.1%
Other values (270) 51979
51.2%

도로명우편번호
Real number (ℝ)

MISSING  SKEWED 

Distinct122
Distinct (%)2.6%
Missing1163
Missing (%)19.8%
Infinite0
Infinite (%)0.0%
Mean4545.8459
Minimum4320
Maximum14593
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size51.9 KiB
2024-05-18T11:32:37.952007image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum4320
5-th percentile4509
Q14530
median4533
Q34563
95-th percentile4592.7
Maximum14593
Range10273
Interquartile range (IQR)33

Descriptive statistics

Standard deviation148.49713
Coefficient of variation (CV)0.032666556
Kurtosis4439.5727
Mean4545.8459
Median Absolute Deviation (MAD)3
Skewness65.604755
Sum21474576
Variance22051.397
MonotonicityNot monotonic
2024-05-18T11:32:38.404725image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
4530 1795
30.5%
4533 774
13.1%
4572 579
 
9.8%
4563 422
 
7.2%
4509 297
 
5.0%
4576 112
 
1.9%
4517 39
 
0.7%
4547 38
 
0.6%
4595 36
 
0.6%
4597 31
 
0.5%
Other values (112) 601
 
10.2%
(Missing) 1163
19.8%
ValueCountFrequency (%)
4320 6
 
0.1%
4500 8
 
0.1%
4501 3
 
0.1%
4502 7
 
0.1%
4503 3
 
0.1%
4505 8
 
0.1%
4506 8
 
0.1%
4507 5
 
0.1%
4508 4
 
0.1%
4509 297
5.0%
ValueCountFrequency (%)
14593 1
 
< 0.1%
4637 4
0.1%
4635 4
0.1%
4634 4
0.1%
4633 1
 
< 0.1%
4632 1
 
< 0.1%
4631 6
0.1%
4630 2
 
< 0.1%
4629 4
0.1%
4627 6
0.1%

사업장명
Text

Distinct2600
Distinct (%)44.2%
Missing0
Missing (%)0.0%
Memory size46.1 KiB
2024-05-18T11:32:38.916026image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length33
Median length26
Mean length6.3726856
Min length1

Characters and Unicode

Total characters37516
Distinct characters764
Distinct categories10 ?
Distinct scripts4 ?
Distinct blocks5 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1980 ?
Unique (%)33.6%

Sample

1st row삼남방앗간
2nd row삼두농산
3rd row큰떡집
4th row중앙기름집
5th row서천방아간
ValueCountFrequency (%)
주식회사 413
 
5.9%
아띠몽 98
 
1.4%
태양식품 69
 
1.0%
감동푸드 63
 
0.9%
필푸드 60
 
0.9%
주)인네이처 57
 
0.8%
주)해가원 52
 
0.7%
더프리미엄 49
 
0.7%
농촌사랑(주 48
 
0.7%
주)햇살드림 48
 
0.7%
Other values (2858) 6071
86.4%
2024-05-18T11:32:39.873549image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 1996
 
5.3%
) 1677
 
4.5%
( 1620
 
4.3%
1141
 
3.0%
식 926
 
2.5%
드 842
 
2.2%
사 762
 
2.0%
푸 697
 
1.9%
이 682
 
1.8%
회 659
 
1.8%
Other values (754) 26514
70.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 32043
85.4%
Close Punctuation 1677
 
4.5%
Open Punctuation 1620
 
4.3%
Space Separator 1141
 
3.0%
Lowercase Letter 454
 
1.2%
Uppercase Letter 375
 
1.0%
Decimal Number 125
 
0.3%
Other Punctuation 69
 
0.2%
Dash Punctuation 11
 
< 0.1%
Connector Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 1996
 
6.2%
식 926
 
2.9%
드 842
 
2.6%
사 762
 
2.4%
푸 697
 
2.2%
이 682
 
2.1%
회 659
 
2.1%
리 504
 
1.6%
스 480
 
1.5%
프 479
 
1.5%
Other values (684) 24016
74.9%
Uppercase Letter
ValueCountFrequency (%)
B 32
 
8.5%
S 32
 
8.5%
E 32
 
8.5%
F 30
 
8.0%
O 24
 
6.4%
M 21
 
5.6%
I 20
 
5.3%
C 19
 
5.1%
L 18
 
4.8%
H 15
 
4.0%
Other values (16) 132
35.2%
Lowercase Letter
ValueCountFrequency (%)
e 81
17.8%
a 40
 
8.8%
o 38
 
8.4%
t 29
 
6.4%
i 28
 
6.2%
s 27
 
5.9%
l 25
 
5.5%
n 22
 
4.8%
h 20
 
4.4%
u 19
 
4.2%
Other values (12) 125
27.5%
Decimal Number
ValueCountFrequency (%)
2 45
36.0%
8 16
 
12.8%
9 11
 
8.8%
5 10
 
8.0%
1 9
 
7.2%
4 9
 
7.2%
0 8
 
6.4%
7 8
 
6.4%
3 5
 
4.0%
6 4
 
3.2%
Other Punctuation
ValueCountFrequency (%)
& 41
59.4%
, 10
 
14.5%
. 9
 
13.0%
? 5
 
7.2%
' 2
 
2.9%
＠ 1
 
1.4%
! 1
 
1.4%
Close Punctuation
ValueCountFrequency (%)
) 1677
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1620
100.0%
Space Separator
ValueCountFrequency (%)
1141
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 11
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 32040
85.4%
Common 4644
 
12.4%
Latin 829
 
2.2%
Han 3
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 1996
 
6.2%
식 926
 
2.9%
드 842
 
2.6%
사 762
 
2.4%
푸 697
 
2.2%
이 682
 
2.1%
회 659
 
2.1%
리 504
 
1.6%
스 480
 
1.5%
프 479
 
1.5%
Other values (681) 24013
74.9%
Latin
ValueCountFrequency (%)
e 81
 
9.8%
a 40
 
4.8%
o 38
 
4.6%
B 32
 
3.9%
S 32
 
3.9%
E 32
 
3.9%
F 30
 
3.6%
t 29
 
3.5%
i 28
 
3.4%
s 27
 
3.3%
Other values (38) 460
55.5%
Common
ValueCountFrequency (%)
) 1677
36.1%
( 1620
34.9%
1141
24.6%
2 45
 
1.0%
& 41
 
0.9%
8 16
 
0.3%
- 11
 
0.2%
9 11
 
0.2%
, 10
 
0.2%
5 10
 
0.2%
Other values (12) 62
 
1.3%
Han
ValueCountFrequency (%)
心 1
33.3%
逼 1
33.3%
箝 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 32038
85.4%
ASCII 5472
 
14.6%
CJK 3
 
< 0.1%
Compat Jamo 2
 
< 0.1%
None 1
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 1996
 
6.2%
식 926
 
2.9%
드 842
 
2.6%
사 762
 
2.4%
푸 697
 
2.2%
이 682
 
2.1%
회 659
 
2.1%
리 504
 
1.6%
스 480
 
1.5%
프 479
 
1.5%
Other values (680) 24011
74.9%
ASCII
ValueCountFrequency (%)
) 1677
30.6%
( 1620
29.6%
1141
20.9%
e 81
 
1.5%
2 45
 
0.8%
& 41
 
0.7%
a 40
 
0.7%
o 38
 
0.7%
B 32
 
0.6%
S 32
 
0.6%
Other values (59) 725
13.2%
Compat Jamo
ValueCountFrequency (%)
ㅊ 2
100.0%
CJK
ValueCountFrequency (%)
心 1
33.3%
逼 1
33.3%
箝 1
33.3%
None
ValueCountFrequency (%)
＠ 1
100.0%

최종수정일자
Date

Distinct3552
Distinct (%)60.3%
Missing0
Missing (%)0.0%
Memory size46.1 KiB
Minimum1999-06-24 00:00:00
Maximum2024-05-16 15:08:24
2024-05-18T11:32:40.244445image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T11:32:40.663923image/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 size46.1 KiB
U
2963 
I
2924 

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 (%)
U 2963
50.3%
I 2924
49.7%

Length

2024-05-18T11:32:41.095677image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-18T11:32:41.268274image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
u 2963
50.3%
i 2924
49.7%

데이터갱신일자
Date

Distinct1236
Distinct (%)21.0%
Missing0
Missing (%)0.0%
Memory size46.1 KiB
Minimum2018-08-31 23:59:59
Maximum2023-12-05 00:09:00
2024-05-18T11:32:41.578331image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T11:32:42.245705image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업태구분명
Categorical

IMBALANCE 

Distinct3
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size46.1 KiB
즉석판매제조가공업
5878 
기타
 
8
한식
 
1

Length

Max length9
Median length9
Mean length8.9892985
Min length2

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

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

Common Values

ValueCountFrequency (%)
즉석판매제조가공업 5878
99.8%
기타 8
 
0.1%
한식 1
 
< 0.1%

Length

2024-05-18T11:32:42.613001image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-18T11:32:43.022526image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
즉석판매제조가공업 5878
99.8%
기타 8
 
0.1%
한식 1
 
< 0.1%

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct745
Distinct (%)13.1%
Missing182
Missing (%)3.1%
Infinite0
Infinite (%)0.0%
Mean199087.39
Minimum177211.67
Maximum202275.27
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size51.9 KiB
2024-05-18T11:32:43.556412image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum177211.67
5-th percentile197230.21
Q1198259.65
median198263.91
Q3200613.51
95-th percentile201823.91
Maximum202275.27
Range25063.603
Interquartile range (IQR)2353.8567

Descriptive statistics

Standard deviation1541.5391
Coefficient of variation (CV)0.0077430275
Kurtosis6.085719
Mean199087.39
Median Absolute Deviation (MAD)4.2548145
Skewness0.2539504
Sum1.1357935 × 109
Variance2376342.8
MonotonicityNot monotonic
2024-05-18T11:32:44.510911image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
198263.90839194 1803
30.6%
198259.65357739 1134
19.3%
201823.908977364 616
 
10.5%
200613.510297669 422
 
7.2%
197243.215346366 218
 
3.7%
197230.206089772 167
 
2.8%
198253.896034899 150
 
2.5%
197229.761422932 53
 
0.9%
200750.455125653 46
 
0.8%
197063.020822371 37
 
0.6%
Other values (735) 1059
18.0%
(Missing) 182
 
3.1%
ValueCountFrequency (%)
177211.671836419 1
 
< 0.1%
196629.529289096 1
 
< 0.1%
196697.116895888 4
0.1%
196700.055871163 1
 
< 0.1%
196722.521964636 1
 
< 0.1%
196724.41370067 1
 
< 0.1%
196727.901837981 1
 
< 0.1%
196743.854095597 2
< 0.1%
196746.506418769 1
 
< 0.1%
196756.456139632 1
 
< 0.1%
ValueCountFrequency (%)
202275.274635685 1
< 0.1%
202081.929309726 1
< 0.1%
202011.800096 2
< 0.1%
201985.988170577 1
< 0.1%
201962.76537651 1
< 0.1%
201961.944800437 1
< 0.1%
201958.204672457 1
< 0.1%
201948.099920747 1
< 0.1%
201947.084297972 1
< 0.1%
201906.868766258 1
< 0.1%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct744
Distinct (%)13.0%
Missing182
Missing (%)3.1%
Infinite0
Infinite (%)0.0%
Mean451216.59
Minimum443241.15
Maximum452413.41
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size51.9 KiB
2024-05-18T11:32:45.748517image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum443241.15
5-th percentile450446.68
Q1450960.76
median451057.8
Q3451436.36
95-th percentile452076.82
Maximum452413.41
Range9172.2644
Interquartile range (IQR)475.5969

Descriptive statistics

Standard deviation513.69263
Coefficient of variation (CV)0.0011384613
Kurtosis10.083725
Mean451216.59
Median Absolute Deviation (MAD)334.40197
Skewness-0.79053245
Sum2.5741907 × 109
Variance263880.12
MonotonicityNot monotonic
2024-05-18T11:32:46.672117image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
450960.762964932 1803
30.6%
451392.198218657 1134
19.3%
452076.818664092 616
 
10.5%
451817.515366883 422
 
7.2%
450655.104239931 220
 
3.7%
450446.684395506 167
 
2.8%
450905.28446798 150
 
2.5%
450418.159244379 53
 
0.9%
449638.824308081 46
 
0.8%
451508.836853669 37
 
0.6%
Other values (734) 1057
18.0%
(Missing) 182
 
3.1%
ValueCountFrequency (%)
443241.148461242 1
 
< 0.1%
449582.535532427 1
 
< 0.1%
449636.902522046 1
 
< 0.1%
449638.824308081 46
0.8%
449687.143213423 12
 
0.2%
449765.205566976 1
 
< 0.1%
449902.521645762 1
 
< 0.1%
449947.401377686 1
 
< 0.1%
449952.210667538 1
 
< 0.1%
449959.457055602 1
 
< 0.1%
ValueCountFrequency (%)
452413.412894 2
 
< 0.1%
452183.455758 1
 
< 0.1%
452076.818664092 616
10.5%
452009.399759421 1
 
< 0.1%
451995.163058 13
 
0.2%
451985.926395452 3
 
0.1%
451962.881475784 1
 
< 0.1%
451949.101114147 1
 
< 0.1%
451919.349435294 1
 
< 0.1%
451886.574198533 1
 
< 0.1%

위생업태명
Categorical

IMBALANCE 

Distinct4
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size46.1 KiB
즉석판매제조가공업
4792 
<NA>
1086 
기타
 
8
한식
 
1

Length

Max length9
Median length9
Mean length8.0669271
Min length2

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

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

Common Values

ValueCountFrequency (%)
즉석판매제조가공업 4792
81.4%
<NA> 1086
 
18.4%
기타 8
 
0.1%
한식 1
 
< 0.1%

Length

2024-05-18T11:32:47.336318image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-18T11:32:47.858803image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
즉석판매제조가공업 4792
81.4%
na 1086
 
18.4%
기타 8
 
0.1%
한식 1
 
< 0.1%

남성종사자수
Categorical

IMBALANCE 

Distinct4
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size46.1 KiB
<NA>
5395 
0
 
461
1
 
24
2
 
7

Length

Max length4
Median length4
Mean length3.7492781
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> 5395
91.6%
0 461
 
7.8%
1 24
 
0.4%
2 7
 
0.1%

Length

2024-05-18T11:32:48.448699image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-18T11:32:48.907591image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 5395
91.6%
0 461
 
7.8%
1 24
 
0.4%
2 7
 
0.1%

여성종사자수
Categorical

IMBALANCE 

Distinct5
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size46.1 KiB
<NA>
5394 
0
 
462
1
 
23
2
 
6
3
 
2

Length

Max length4
Median length4
Mean length3.7487685
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> 5394
91.6%
0 462
 
7.8%
1 23
 
0.4%
2 6
 
0.1%
3 2
 
< 0.1%

Length

2024-05-18T11:32:49.409776image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-18T11:32:49.752939image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 5394
91.6%
0 462
 
7.8%
1 23
 
0.4%
2 6
 
0.1%
3 2
 
< 0.1%

영업장주변구분명
Categorical

IMBALANCE 

Distinct5
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size46.1 KiB
<NA>
5647 
기타
 
227
주택가주변
 
11
유흥업소밀집지역
 
1
아파트지역
 
1

Length

Max length8
Median length4
Mean length3.9255988
Min length2

Unique

Unique2 ?
Unique (%)< 0.1%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 5647
95.9%
기타 227
 
3.9%
주택가주변 11
 
0.2%
유흥업소밀집지역 1
 
< 0.1%
아파트지역 1
 
< 0.1%

Length

2024-05-18T11:32:50.336733image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-18T11:32:50.809450image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 5647
95.9%
기타 227
 
3.9%
주택가주변 11
 
0.2%
유흥업소밀집지역 1
 
< 0.1%
아파트지역 1
 
< 0.1%

등급구분명
Categorical

IMBALANCE 

Distinct5
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size46.1 KiB
<NA>
5647 
기타
 
222
자율
 
13
을
 
3
갑
 
2

Length

Max length4
Median length4
Mean length3.9176151
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 5647
95.9%
기타 222
 
3.8%
자율 13
 
0.2%
을 3
 
0.1%
갑 2
 
< 0.1%

Length

2024-05-18T11:32:51.349950image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-18T11:32:51.708705image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 5647
95.9%
기타 222
 
3.8%
자율 13
 
0.2%
을 3
 
0.1%
갑 2
 
< 0.1%

급수시설구분명
Categorical

IMBALANCE 

Distinct3
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size46.1 KiB
<NA>
5423 
상수도전용
 
461
상수도(음용)지하수(주방용)겸용
 
3

Length

Max length17
Median length4
Mean length4.0849329
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 5423
92.1%
상수도전용 461
 
7.8%
상수도(음용)지하수(주방용)겸용 3
 
0.1%

Length

2024-05-18T11:32:52.209215image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-18T11:32:52.630584image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 5423
92.1%
상수도전용 461
 
7.8%
상수도(음용)지하수(주방용)겸용 3
 
0.1%

총인원
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size46.1 KiB
<NA>
5538 
0
 
349

Length

Max length4
Median length4
Mean length3.8221505
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> 5538
94.1%
0 349
 
5.9%

Length

2024-05-18T11:32:53.026236image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-18T11:32:53.429778image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 5538
94.1%
0 349
 
5.9%

본사종업원수
Categorical

IMBALANCE 

Distinct6
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size46.1 KiB
<NA>
4846 
0
1031 
2
 
7
5
 
1
4
 
1

Length

Max length4
Median length4
Mean length3.4695091
Min length1

Unique

Unique3 ?
Unique (%)0.1%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 4846
82.3%
0 1031
 
17.5%
2 7
 
0.1%
5 1
 
< 0.1%
4 1
 
< 0.1%
1 1
 
< 0.1%

Length

2024-05-18T11:32:53.966975image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-18T11:32:54.564010image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 4846
82.3%
0 1031
 
17.5%
2 7
 
0.1%
5 1
 
< 0.1%
4 1
 
< 0.1%
1 1
 
< 0.1%

공장사무직종업원수
Categorical

IMBALANCE 

Distinct6
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size46.1 KiB
<NA>
4849 
0
1030 
2
 
4
1
 
2
6
 
1

Length

Max length4
Median length4
Mean length3.4710379
Min length1

Unique

Unique2 ?
Unique (%)< 0.1%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 4849
82.4%
0 1030
 
17.5%
2 4
 
0.1%
1 2
 
< 0.1%
6 1
 
< 0.1%
5 1
 
< 0.1%

Length

2024-05-18T11:32:55.081442image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-18T11:32:55.444091image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 4849
82.4%
0 1030
 
17.5%
2 4
 
0.1%
1 2
 
< 0.1%
6 1
 
< 0.1%
5 1
 
< 0.1%

공장판매직종업원수
Real number (ℝ)

MISSING  ZEROS 

Distinct16
Distinct (%)1.2%
Missing4555
Missing (%)77.4%
Infinite0
Infinite (%)0.0%
Mean0.68168168
Minimum0
Maximum20
Zeros1015
Zeros (%)17.2%
Negative0
Negative (%)0.0%
Memory size51.9 KiB
2024-05-18T11:32:55.892239image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile3
Maximum20
Range20
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.7281496
Coefficient of variation (CV)2.535127
Kurtosis34.759757
Mean0.68168168
Median Absolute Deviation (MAD)0
Skewness4.9284535
Sum908
Variance2.9865012
MonotonicityNot monotonic
2024-05-18T11:32:56.488036image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
0 1015
 
17.2%
2 150
 
2.5%
3 57
 
1.0%
1 53
 
0.9%
4 23
 
0.4%
5 11
 
0.2%
8 4
 
0.1%
6 4
 
0.1%
15 4
 
0.1%
7 3
 
0.1%
Other values (6) 8
 
0.1%
(Missing) 4555
77.4%
ValueCountFrequency (%)
0 1015
17.2%
1 53
 
0.9%
2 150
 
2.5%
3 57
 
1.0%
4 23
 
0.4%
5 11
 
0.2%
6 4
 
0.1%
7 3
 
0.1%
8 4
 
0.1%
9 1
 
< 0.1%
ValueCountFrequency (%)
20 1
 
< 0.1%
15 4
0.1%
14 2
< 0.1%
12 1
 
< 0.1%
11 1
 
< 0.1%
10 2
< 0.1%
9 1
 
< 0.1%
8 4
0.1%
7 3
0.1%
6 4
0.1%

공장생산직종업원수
Categorical

IMBALANCE 

Distinct5
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size46.1 KiB
<NA>
4838 
0
1030 
1
 
13
2
 
5
3
 
1

Length

Max length4
Median length4
Mean length3.4654323
Min length1

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 4838
82.2%
0 1030
 
17.5%
1 13
 
0.2%
2 5
 
0.1%
3 1
 
< 0.1%

Length

2024-05-18T11:32:56.997370image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-18T11:32:57.432374image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 4838
82.2%
0 1030
 
17.5%
1 13
 
0.2%
2 5
 
0.1%
3 1
 
< 0.1%

건물소유구분명
Categorical

Distinct3
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size46.1 KiB
<NA>
3728 
임대
1127 
자가
1032 

Length

Max length4
Median length4
Mean length3.2665194
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> 3728
63.3%
임대 1127
 
19.1%
자가 1032
 
17.5%

Length

2024-05-18T11:32:57.934175image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-18T11:32:58.341183image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 3728
63.3%
임대 1127
 
19.1%
자가 1032
 
17.5%

보증액
Categorical

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size46.1 KiB
<NA>
5147 
0
740 

Length

Max length4
Median length4
Mean length3.6228979
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> 5147
87.4%
0 740
 
12.6%

Length

2024-05-18T11:32:58.867038image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-18T11:32:59.335639image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 5147
87.4%
0 740
 
12.6%

월세액
Categorical

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size46.1 KiB
<NA>
5147 
0
740 

Length

Max length4
Median length4
Mean length3.6228979
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> 5147
87.4%
0 740
 
12.6%

Length

2024-05-18T11:32:59.827290image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-18T11:33:00.205555image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 5147
87.4%
0 740
 
12.6%

다중이용업소여부
Boolean

CONSTANT  MISSING 

Distinct1
Distinct (%)< 0.1%
Missing1086
Missing (%)18.4%
Memory size11.6 KiB
False
4801 
(Missing)
1086 
ValueCountFrequency (%)
False 4801
81.6%
(Missing) 1086
 
18.4%
2024-05-18T11:33:00.526139image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

시설총규모
Real number (ℝ)

MISSING  ZEROS 

Distinct186
Distinct (%)3.9%
Missing1086
Missing (%)18.4%
Infinite0
Infinite (%)0.0%
Mean2.0433431
Minimum0
Maximum396
Zeros3950
Zeros (%)67.1%
Negative0
Negative (%)0.0%
Memory size51.9 KiB
2024-05-18T11:33:00.913766image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile9.9
Maximum396
Range396
Interquartile range (IQR)0

Descriptive statistics

Standard deviation9.865132
Coefficient of variation (CV)4.8279372
Kurtosis562.41231
Mean2.0433431
Median Absolute Deviation (MAD)0
Skewness17.411859
Sum9810.09
Variance97.320829
MonotonicityNot monotonic
2024-05-18T11:33:01.408575image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 3950
67.1%
3.3 471
 
8.0%
6.6 31
 
0.5%
10.0 23
 
0.4%
9.9 16
 
0.3%
9.0 14
 
0.2%
15.0 11
 
0.2%
13.2 10
 
0.2%
33.0 10
 
0.2%
6.0 10
 
0.2%
Other values (176) 255
 
4.3%
(Missing) 1086
 
18.4%
ValueCountFrequency (%)
0.0 3950
67.1%
0.87 1
 
< 0.1%
1.0 1
 
< 0.1%
1.24 1
 
< 0.1%
1.5 1
 
< 0.1%
1.9 1
 
< 0.1%
2.0 2
 
< 0.1%
2.2 1
 
< 0.1%
2.7 1
 
< 0.1%
3.0 6
 
0.1%
ValueCountFrequency (%)
396.0 1
< 0.1%
132.0 1
< 0.1%
126.13 1
< 0.1%
120.0 1
< 0.1%
96.92 1
< 0.1%
96.49 1
< 0.1%
96.45 1
< 0.1%
92.34 1
< 0.1%
90.0 1
< 0.1%
85.5 1
< 0.1%

전통업소지정번호
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing5887
Missing (%)100.0%
Memory size51.9 KiB

전통업소주된음식
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing5887
Missing (%)100.0%
Memory size51.9 KiB

홈페이지
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing5887
Missing (%)100.0%
Memory size51.9 KiB

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)위생업태명남성종사자수여성종사자수영업장주변구분명등급구분명급수시설구분명총인원본사종업원수공장사무직종업원수공장판매직종업원수공장생산직종업원수건물소유구분명보증액월세액다중이용업소여부시설총규모전통업소지정번호전통업소주된음식홈페이지
030100003010000-107-1970-0016219701118<NA>1영업/정상1영업<NA><NA><NA><NA>02 31255890.0100858서울특별시 중구 중림동 149-7<NA><NA>삼남방앗간2013-07-10 15:34:38I2018-08-31 23:59:59.0즉석판매제조가공업<NA><NA>즉석판매제조가공업<NA><NA>기타기타상수도전용<NA><NA><NA><NA><NA><NA><NA><NA>N0.0<NA><NA><NA>
130100003010000-107-1972-0000119721118<NA>1영업/정상1영업<NA><NA><NA><NA>022264086424.1100310서울특별시 중구 오장동 69-18 1층서울특별시 중구 을지로32길 36-11, 1층 (오장동)4547삼두농산2014-05-13 17:24:02I2018-08-31 23:59:59.0즉석판매제조가공업199908.904546451393.146272즉석판매제조가공업<NA><NA><NA><NA><NA><NA>0000<NA><NA><NA>N0.0<NA><NA><NA>
230100003010000-107-1973-0015619730701<NA>3폐업2폐업20090422<NA><NA><NA>02 23454610.0100827서울특별시 중구 신당동 367-8<NA><NA>큰떡집2000-07-14 00:00:00I2018-08-31 23:59:59.0즉석판매제조가공업200867.201843450113.003571즉석판매제조가공업<NA><NA>기타기타상수도전용<NA><NA><NA><NA><NA><NA><NA><NA>N0.0<NA><NA><NA>
330100003010000-107-1980-0000119800401<NA>1영업/정상1영업<NA><NA><NA><NA>0222347621<NA>100869서울특별시 중구 황학동 730서울특별시 중구 퇴계로 429 (황학동)4576중앙기름집2002-03-25 00:00:00I2018-08-31 23:59:59.0즉석판매제조가공업201641.949472451512.743351즉석판매제조가공업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>N0.0<NA><NA><NA>
430100003010000-107-1981-0015719811229<NA>3폐업2폐업20000330<NA><NA><NA>02 00.0100827서울특별시 중구 신당동 367-6<NA><NA>서천방아간2000-06-22 00:00:00I2018-08-31 23:59:59.0즉석판매제조가공업200878.880725450116.058949즉석판매제조가공업00기타기타상수도전용<NA><NA><NA><NA><NA><NA><NA><NA>N0.0<NA><NA><NA>
530100003010000-107-1982-0014119820309<NA>3폐업2폐업20120918<NA><NA><NA>02 27575410.0100400서울특별시 중구 쌍림동 289서울특별시 중구 퇴계로58길 8 (쌍림동)4615장충방아간2001-12-06 00:00:00I2018-08-31 23:59:59.0즉석판매제조가공업200496.279391451271.888768즉석판매제조가공업<NA><NA>기타기타상수도전용<NA><NA><NA><NA><NA><NA><NA><NA>N0.0<NA><NA><NA>
630100003010000-107-1983-0000119830519<NA>3폐업2폐업20080401<NA><NA><NA>0222319455<NA>100868서울특별시 중구 황학동 269<NA><NA>경기상회2001-11-29 00:00:00I2018-08-31 23:59:59.0즉석판매제조가공업201652.527658451756.858911즉석판매제조가공업<NA><NA><NA><NA><NA><NA>0000<NA><NA><NA>N0.0<NA><NA><NA>
730100003010000-107-1985-0014219850725<NA>3폐업2폐업20130417<NA><NA><NA>02223898730.0100870서울특별시 중구 황학동 1254-0서울특별시 중구 마장로9길 17 (황학동)4571대화방앗간2010-05-11 13:50:29I2018-08-31 23:59:59.0즉석판매제조가공업201717.163681452183.455758즉석판매제조가공업<NA><NA>기타기타<NA><NA>0000<NA><NA><NA>N0.0<NA><NA><NA>
830100003010000-107-1985-0014519850801<NA>3폐업2폐업20190403<NA><NA><NA>02 27360910.0100310서울특별시 중구 오장동 145-23서울특별시 중구 을지로32길 35-5 (오장동)4547신촌떡방아간2019-04-08 13:29:25U2019-04-10 02:40:00.0즉석판매제조가공업199991.744334451417.933247즉석판매제조가공업<NA><NA>기타을상수도전용<NA><NA><NA><NA><NA><NA><NA><NA>N0.0<NA><NA><NA>
930100003010000-107-1985-0014619850425<NA>3폐업2폐업20171025<NA><NA><NA>0222799054<NA>100310서울특별시 중구 오장동 148-2서울특별시 중구 을지로32길 35-26 (오장동)4547수원상회2017-10-25 15:21:07I2018-08-31 23:59:59.0즉석판매제조가공업200040.886688451404.849531즉석판매제조가공업<NA><NA><NA><NA><NA><NA>0000<NA><NA><NA>N0.0<NA><NA><NA>
개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)위생업태명남성종사자수여성종사자수영업장주변구분명등급구분명급수시설구분명총인원본사종업원수공장사무직종업원수공장판매직종업원수공장생산직종업원수건물소유구분명보증액월세액다중이용업소여부시설총규모전통업소지정번호전통업소주된음식홈페이지
587730100003010000-107-2024-001492024-05-13<NA>1영업/정상1영업<NA><NA><NA><NA>02 63547222<NA>100-170서울특별시 중구 무교동 1서울특별시 중구 무교로 32, 청계광장~청계천 일원 (무교동)45212024 서울세계도시문화축제2024-05-13 09:16:21I2023-12-04 23:05:00.0즉석판매제조가공업198126.501925451827.973207<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
587830100003010000-107-2024-001502024-05-13<NA>1영업/정상1영업<NA><NA><NA><NA>02 891 79109.0100-747서울특별시 중구 충무로1가 52-5 신세계백화점건물서울특별시 중구 소공로 63, 신세계백화점건물 지하1층 (충무로1가)4530킹스푸드 주식회사2024-05-13 16:32:10I2023-12-04 23:05:00.0즉석판매제조가공업198263.908392450960.762965<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
587930100003010000-107-2024-001512024-05-14<NA>1영업/정상1영업<NA><NA><NA><NA><NA>6.6100-070서울특별시 중구 소공동 1 롯데백화점 본점서울특별시 중구 남대문로 81, 롯데백화점 본점 지1층 (소공동)4533추박사자취생김밥2024-05-14 09:34:03I2023-12-04 23:06:00.0즉석판매제조가공업198259.653577451392.198219<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
588030100003010000-107-2024-001522024-05-14<NA>1영업/정상1영업<NA><NA><NA><NA><NA>3.3100-747서울특별시 중구 충무로1가 52-5 신세계백화점건물서울특별시 중구 소공로 63, 신세계백화점건물 지1층 (충무로1가)4530주바른2024-05-14 10:21:49I2023-12-04 23:06:00.0즉석판매제조가공업198263.908392450960.762965<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
588130100003010000-107-2024-001532024-05-14<NA>1영업/정상1영업<NA><NA><NA><NA><NA>12.0100-162서울특별시 중구 봉래동2가 122-11 경부고속철도서울민자역사서울특별시 중구 한강대로 405, 롯데마트 1층 (봉래동2가)4509주식회사 현승에프앤디2024-05-14 13:44:34I2023-12-04 23:06:00.0즉석판매제조가공업197229.761423450418.159244<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
588230100003010000-107-2024-001542024-05-16<NA>1영업/정상1영업<NA><NA><NA><NA><NA>3.3100-837서울특별시 중구 신당동 773 맥스타일서울특별시 중구 마장로 3, 맥스타일 5층 107호 (신당동)4567진삼영농조합2024-05-16 09:40:41I2023-12-04 23:08:00.0즉석판매제조가공업200863.594131451837.481624<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
588330100003010000-107-2024-001552024-05-16<NA>1영업/정상1영업<NA><NA><NA><NA><NA>3.3100-747서울특별시 중구 충무로1가 52-5 신세계백화점건물서울특별시 중구 소공로 63, 신세계백화점건물 지1층 (충무로1가)4530빛고을명가2024-05-16 09:46:29I2023-12-04 23:08:00.0즉석판매제조가공업198263.908392450960.762965<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
588430100003010000-107-2024-001562024-05-16<NA>1영업/정상1영업<NA><NA><NA><NA><NA>3.3100-747서울특별시 중구 충무로1가 52-5 신세계백화점건물서울특별시 중구 소공로 63, 신세계백화점건물 지1층 (충무로1가)4530(주)케이프라이드2024-05-16 10:55:52I2023-12-04 23:08:00.0즉석판매제조가공업198263.908392450960.762965<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
588530100003010000-107-2024-001572024-05-16<NA>1영업/정상1영업<NA><NA><NA><NA><NA>4.5100-747서울특별시 중구 충무로1가 54 신세계백화점서울특별시 중구 퇴계로 77, 신세계백화점 지1층 (충무로1가)4530스윗티클스2024-05-16 11:10:44I2023-12-04 23:08:00.0즉석판매제조가공업198253.896035450905.284468<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
588630100003010000-107-2024-001582024-05-16<NA>1영업/정상1영업<NA><NA><NA><NA><NA>3.3100-720서울특별시 중구 을지로2가 9-10 하나은행별관빌딩서울특별시 중구 을지로 55, 하나은행별관빌딩 4층 (을지로2가)4539더오오(더오프닝오브)2024-05-16 13:15:52I2023-12-04 23:08:00.0즉석판매제조가공업198519.736198451570.324242<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>