Overview

Dataset statistics

Number of variables44
Number of observations3415
Missing cells33750
Missing cells (%)22.5%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.2 MiB
Average record size in memory376.0 B

Variable types

Categorical20
Text6
DateTime4
Unsupported6
Numeric7
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
Author서대문구
URLhttps://data.seoul.go.kr/dataList/OA-18439/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
다중이용업소여부 has constant value ""Constant
업태구분명 is highly imbalanced (99.3%)Imbalance
남성종사자수 is highly imbalanced (74.7%)Imbalance
여성종사자수 is highly imbalanced (66.8%)Imbalance
영업장주변구분명 is highly imbalanced (80.8%)Imbalance
등급구분명 is highly imbalanced (77.2%)Imbalance
총인원 is highly imbalanced (66.6%)Imbalance
본사종업원수 is highly imbalanced (50.9%)Imbalance
공장판매직종업원수 is highly imbalanced (56.9%)Imbalance
공장생산직종업원수 is highly imbalanced (58.5%)Imbalance
홈페이지 is highly imbalanced (99.6%)Imbalance
인허가취소일자 has 3415 (100.0%) missing valuesMissing
폐업일자 has 415 (12.2%) missing valuesMissing
휴업시작일자 has 3415 (100.0%) missing valuesMissing
휴업종료일자 has 3415 (100.0%) missing valuesMissing
재개업일자 has 3415 (100.0%) missing valuesMissing
전화번호 has 1898 (55.6%) missing valuesMissing
소재지면적 has 1556 (45.6%) missing valuesMissing
도로명주소 has 691 (20.2%) missing valuesMissing
도로명우편번호 has 701 (20.5%) missing valuesMissing
좌표정보(X) has 142 (4.2%) missing valuesMissing
좌표정보(Y) has 142 (4.2%) missing valuesMissing
보증액 has 3028 (88.7%) missing valuesMissing
월세액 has 3027 (88.6%) missing valuesMissing
다중이용업소여부 has 829 (24.3%) missing valuesMissing
시설총규모 has 829 (24.3%) missing valuesMissing
전통업소지정번호 has 3415 (100.0%) missing valuesMissing
전통업소주된음식 has 3415 (100.0%) missing valuesMissing
도로명우편번호 is highly skewed (γ1 = 37.2646789)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
소재지면적 has 494 (14.5%) zerosZeros
보증액 has 377 (11.0%) zerosZeros
월세액 has 377 (11.0%) zerosZeros
시설총규모 has 2494 (73.0%) zerosZeros

Reproduction

Analysis started2024-04-29 19:43:23.915503
Analysis finished2024-04-29 19:43:25.305241
Duration1.39 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size26.8 KiB
3120000
3415 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3120000
2nd row3120000
3rd row3120000
4th row3120000
5th row3120000

Common Values

ValueCountFrequency (%)
3120000 3415
100.0%

Length

2024-04-30T04:43:25.372231image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:43:25.447706image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3120000 3415
100.0%

관리번호
Text

UNIQUE 

Distinct3415
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size26.8 KiB
2024-04-30T04:43:25.594736image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length22
Median length22
Mean length22
Min length22

Characters and Unicode

Total characters75130
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

Unique3415 ?
Unique (%)100.0%

Sample

1st row3120000-107-1966-00094
2nd row3120000-107-1966-00095
3rd row3120000-107-1966-00096
4th row3120000-107-1966-00106
5th row3120000-107-1968-00108
ValueCountFrequency (%)
3120000-107-1966-00094 1
 
< 0.1%
3120000-107-2020-00053 1
 
< 0.1%
3120000-107-2020-00081 1
 
< 0.1%
3120000-107-2020-00082 1
 
< 0.1%
3120000-107-2020-00083 1
 
< 0.1%
3120000-107-2020-00084 1
 
< 0.1%
3120000-107-2020-00085 1
 
< 0.1%
3120000-107-2020-00086 1
 
< 0.1%
3120000-107-2020-00087 1
 
< 0.1%
3120000-107-2020-00088 1
 
< 0.1%
Other values (3405) 3405
99.7%
2024-04-30T04:43:25.866032image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 30408
40.5%
1 10551
 
14.0%
- 10245
 
13.6%
2 9757
 
13.0%
3 4532
 
6.0%
7 4462
 
5.9%
9 1377
 
1.8%
8 1057
 
1.4%
6 984
 
1.3%
4 939
 
1.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 64885
86.4%
Dash Punctuation 10245
 
13.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 30408
46.9%
1 10551
 
16.3%
2 9757
 
15.0%
3 4532
 
7.0%
7 4462
 
6.9%
9 1377
 
2.1%
8 1057
 
1.6%
6 984
 
1.5%
4 939
 
1.4%
5 818
 
1.3%
Dash Punctuation
ValueCountFrequency (%)
- 10245
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 75130
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 30408
40.5%
1 10551
 
14.0%
- 10245
 
13.6%
2 9757
 
13.0%
3 4532
 
6.0%
7 4462
 
5.9%
9 1377
 
1.8%
8 1057
 
1.4%
6 984
 
1.3%
4 939
 
1.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 75130
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 30408
40.5%
1 10551
 
14.0%
- 10245
 
13.6%
2 9757
 
13.0%
3 4532
 
6.0%
7 4462
 
5.9%
9 1377
 
1.8%
8 1057
 
1.4%
6 984
 
1.3%
4 939
 
1.2%
Distinct2316
Distinct (%)67.8%
Missing0
Missing (%)0.0%
Memory size26.8 KiB
Minimum1966-10-26 00:00:00
Maximum2024-04-25 00:00:00
2024-04-30T04:43:26.002347image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T04:43:26.137498image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing3415
Missing (%)100.0%
Memory size30.1 KiB
Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size26.8 KiB
3
3000 
1
415 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
3 3000
87.8%
1 415
 
12.2%

Length

2024-04-30T04:43:26.264910image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:43:26.347380image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 3000
87.8%
1 415
 
12.2%

영업상태명
Categorical

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size26.8 KiB
폐업
3000 
영업/정상
415 

Length

Max length5
Median length2
Mean length2.3645681
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 3000
87.8%
영업/정상 415
 
12.2%

Length

2024-04-30T04:43:26.436738image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:43:26.522885image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 3000
87.8%
영업/정상 415
 
12.2%
Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size26.8 KiB
2
3000 
1
415 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
2 3000
87.8%
1 415
 
12.2%

Length

2024-04-30T04:43:26.605154image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:43:26.681045image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2 3000
87.8%
1 415
 
12.2%
Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size26.8 KiB
폐업
3000 
영업
415 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 3000
87.8%
영업 415
 
12.2%

Length

2024-04-30T04:43:26.814846image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:43:26.903355image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 3000
87.8%
영업 415
 
12.2%

폐업일자
Date

MISSING 

Distinct1885
Distinct (%)62.8%
Missing415
Missing (%)12.2%
Memory size26.8 KiB
Minimum1999-04-12 00:00:00
Maximum2024-04-24 00:00:00
2024-04-30T04:43:26.990150image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T04:43:27.102962image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing3415
Missing (%)100.0%
Memory size30.1 KiB

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing3415
Missing (%)100.0%
Memory size30.1 KiB

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing3415
Missing (%)100.0%
Memory size30.1 KiB

전화번호
Text

MISSING 

Distinct1023
Distinct (%)67.4%
Missing1898
Missing (%)55.6%
Memory size26.8 KiB
2024-04-30T04:43:27.380376image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length10
Mean length10.415953
Min length2

Characters and Unicode

Total characters15801
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

Unique897 ?
Unique (%)59.1%

Sample

1st row0203637134
2nd row02 3646622
3rd row02 3625618
4th row02 7357928
5th row0207382481
ValueCountFrequency (%)
02 783
28.6%
031 172
 
6.3%
032 69
 
2.5%
03180210642 40
 
1.5%
8454358 35
 
1.3%
4266949 28
 
1.0%
5171599 26
 
0.9%
7925521 23
 
0.8%
07088155581 20
 
0.7%
0226757529 19
 
0.7%
Other values (1092) 1526
55.7%
2024-04-30T04:43:27.759683image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 2671
16.9%
2 2441
15.4%
3 2106
13.3%
1360
8.6%
1 1241
7.9%
5 1160
7.3%
4 1040
 
6.6%
7 1006
 
6.4%
6 961
 
6.1%
9 957
 
6.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 14441
91.4%
Space Separator 1360
 
8.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 2671
18.5%
2 2441
16.9%
3 2106
14.6%
1 1241
8.6%
5 1160
8.0%
4 1040
 
7.2%
7 1006
 
7.0%
6 961
 
6.7%
9 957
 
6.6%
8 858
 
5.9%
Space Separator
ValueCountFrequency (%)
1360
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 15801
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 2671
16.9%
2 2441
15.4%
3 2106
13.3%
1360
8.6%
1 1241
7.9%
5 1160
7.3%
4 1040
 
6.6%
7 1006
 
6.4%
6 961
 
6.1%
9 957
 
6.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 15801
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 2671
16.9%
2 2441
15.4%
3 2106
13.3%
1360
8.6%
1 1241
7.9%
5 1160
7.3%
4 1040
 
6.6%
7 1006
 
6.4%
6 961
 
6.1%
9 957
 
6.1%

소재지면적
Real number (ℝ)

MISSING  ZEROS 

Distinct590
Distinct (%)31.7%
Missing1556
Missing (%)45.6%
Infinite0
Infinite (%)0.0%
Mean17.025223
Minimum0
Maximum373
Zeros494
Zeros (%)14.5%
Negative0
Negative (%)0.0%
Memory size30.1 KiB
2024-04-30T04:43:27.878452image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median9
Q324
95-th percentile60.726
Maximum373
Range373
Interquartile range (IQR)24

Descriptive statistics

Standard deviation25.085604
Coefficient of variation (CV)1.4734376
Kurtosis33.264865
Mean17.025223
Median Absolute Deviation (MAD)9
Skewness4.1833572
Sum31649.89
Variance629.28754
MonotonicityNot monotonic
2024-04-30T04:43:27.996981image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 494
 
14.5%
3.3 64
 
1.9%
6.6 54
 
1.6%
3.0 40
 
1.2%
5.0 40
 
1.2%
10.0 40
 
1.2%
6.0 35
 
1.0%
20.0 30
 
0.9%
12.0 28
 
0.8%
2.0 24
 
0.7%
Other values (580) 1010
29.6%
(Missing) 1556
45.6%
ValueCountFrequency (%)
0.0 494
14.5%
0.54 1
 
< 0.1%
0.56 1
 
< 0.1%
0.58 1
 
< 0.1%
0.6 1
 
< 0.1%
0.67 1
 
< 0.1%
0.72 2
 
0.1%
0.75 1
 
< 0.1%
0.96 1
 
< 0.1%
1.0 6
 
0.2%
ValueCountFrequency (%)
373.0 1
< 0.1%
221.48 1
< 0.1%
200.57 1
< 0.1%
193.33 1
< 0.1%
189.25 1
< 0.1%
177.72 1
< 0.1%
162.78 1
< 0.1%
158.28 1
< 0.1%
154.23 1
< 0.1%
153.12 1
< 0.1%
Distinct150
Distinct (%)4.4%
Missing1
Missing (%)< 0.1%
Memory size26.8 KiB
2024-04-30T04:43:28.240762image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length6
Mean length6.1350322
Min length6

Characters and Unicode

Total characters20945
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

Unique29 ?
Unique (%)0.8%

Sample

1st row120080
2nd row120819
3rd row120190
4th row120854
5th row120853
ValueCountFrequency (%)
120706 1075
31.5%
120834 312
 
9.1%
120857 212
 
6.2%
120-706 144
 
4.2%
120813 121
 
3.5%
120805 114
 
3.3%
120090 79
 
2.3%
120825 69
 
2.0%
120100 66
 
1.9%
120070 56
 
1.6%
Other values (140) 1166
34.2%
2024-04-30T04:43:28.579214image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 5739
27.4%
1 3983
19.0%
2 3770
18.0%
8 1891
 
9.0%
7 1688
 
8.1%
6 1391
 
6.6%
3 638
 
3.0%
5 625
 
3.0%
4 554
 
2.6%
- 461
 
2.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 20484
97.8%
Dash Punctuation 461
 
2.2%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 5739
28.0%
1 3983
19.4%
2 3770
18.4%
8 1891
 
9.2%
7 1688
 
8.2%
6 1391
 
6.8%
3 638
 
3.1%
5 625
 
3.1%
4 554
 
2.7%
9 205
 
1.0%
Dash Punctuation
ValueCountFrequency (%)
- 461
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 20945
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 5739
27.4%
1 3983
19.0%
2 3770
18.0%
8 1891
 
9.0%
7 1688
 
8.1%
6 1391
 
6.6%
3 638
 
3.0%
5 625
 
3.0%
4 554
 
2.6%
- 461
 
2.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 20945
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 5739
27.4%
1 3983
19.0%
2 3770
18.0%
8 1891
 
9.0%
7 1688
 
8.1%
6 1391
 
6.6%
3 638
 
3.0%
5 625
 
3.0%
4 554
 
2.6%
- 461
 
2.2%
Distinct1599
Distinct (%)46.8%
Missing1
Missing (%)< 0.1%
Memory size26.8 KiB
2024-04-30T04:43:28.937579image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length65
Median length49
Mean length29.762156
Min length17

Characters and Unicode

Total characters101608
Distinct characters336
Distinct categories11 ?
Distinct scripts4 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1415 ?
Unique (%)41.4%

Sample

1st row서울특별시 서대문구 현저동 779-0
2nd row서울특별시 서대문구 북아현동 125-46
3rd row서울특별시 서대문구 북아현동 118-84
4th row서울특별시 서대문구 홍제동 139-16
5th row서울특별시 서대문구 홍제동 96-5
ValueCountFrequency (%)
서울특별시 3413
18.5%
서대문구 3413
18.5%
창천동 1593
 
8.7%
30-33 1513
 
8.2%
현대백화점신촌점 1046
 
5.7%
지하1층 861
 
4.7%
홍제동 471
 
2.6%
남가좌동 360
 
2.0%
현대백화점 357
 
1.9%
1층 313
 
1.7%
Other values (1542) 5073
27.6%
2024-04-30T04:43:29.407014image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
17529
 
17.3%
6903
 
6.8%
3 5625
 
5.5%
4985
 
4.9%
3479
 
3.4%
3454
 
3.4%
3420
 
3.4%
3418
 
3.4%
3416
 
3.4%
3416
 
3.4%
Other values (326) 45963
45.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 63140
62.1%
Space Separator 17529
 
17.3%
Decimal Number 16296
 
16.0%
Dash Punctuation 3171
 
3.1%
Close Punctuation 365
 
0.4%
Open Punctuation 364
 
0.4%
Other Punctuation 348
 
0.3%
Uppercase Letter 336
 
0.3%
Lowercase Letter 57
 
0.1%
Math Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
6903
 
10.9%
4985
 
7.9%
3479
 
5.5%
3454
 
5.5%
3420
 
5.4%
3418
 
5.4%
3416
 
5.4%
3416
 
5.4%
3413
 
5.4%
2819
 
4.5%
Other values (285) 24417
38.7%
Uppercase Letter
ValueCountFrequency (%)
G 61
18.2%
D 58
17.3%
C 57
17.0%
M 56
16.7%
S 47
14.0%
B 32
9.5%
A 11
 
3.3%
T 4
 
1.2%
E 2
 
0.6%
P 2
 
0.6%
Other values (6) 6
 
1.8%
Decimal Number
ValueCountFrequency (%)
3 5625
34.5%
1 2947
18.1%
0 2240
 
13.7%
2 1251
 
7.7%
4 1071
 
6.6%
6 764
 
4.7%
9 750
 
4.6%
8 583
 
3.6%
5 561
 
3.4%
7 504
 
3.1%
Lowercase Letter
ValueCountFrequency (%)
g 43
75.4%
s 9
 
15.8%
e 3
 
5.3%
b 1
 
1.8%
a 1
 
1.8%
Other Punctuation
ValueCountFrequency (%)
, 343
98.6%
/ 2
 
0.6%
@ 2
 
0.6%
& 1
 
0.3%
Space Separator
ValueCountFrequency (%)
17529
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 3171
100.0%
Close Punctuation
ValueCountFrequency (%)
) 365
100.0%
Open Punctuation
ValueCountFrequency (%)
( 364
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%
Letter Number
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 63128
62.1%
Common 38074
37.5%
Latin 394
 
0.4%
Han 12
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
6903
 
10.9%
4985
 
7.9%
3479
 
5.5%
3454
 
5.5%
3420
 
5.4%
3418
 
5.4%
3416
 
5.4%
3416
 
5.4%
3413
 
5.4%
2819
 
4.5%
Other values (284) 24405
38.7%
Latin
ValueCountFrequency (%)
G 61
15.5%
D 58
14.7%
C 57
14.5%
M 56
14.2%
S 47
11.9%
g 43
10.9%
B 32
8.1%
A 11
 
2.8%
s 9
 
2.3%
T 4
 
1.0%
Other values (12) 16
 
4.1%
Common
ValueCountFrequency (%)
17529
46.0%
3 5625
 
14.8%
- 3171
 
8.3%
1 2947
 
7.7%
0 2240
 
5.9%
2 1251
 
3.3%
4 1071
 
2.8%
6 764
 
2.0%
9 750
 
2.0%
8 583
 
1.5%
Other values (9) 2143
 
5.6%
Han
ValueCountFrequency (%)
12
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 63128
62.1%
ASCII 38467
37.9%
CJK 12
 
< 0.1%
Number Forms 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
17529
45.6%
3 5625
 
14.6%
- 3171
 
8.2%
1 2947
 
7.7%
0 2240
 
5.8%
2 1251
 
3.3%
4 1071
 
2.8%
6 764
 
2.0%
9 750
 
1.9%
8 583
 
1.5%
Other values (30) 2536
 
6.6%
Hangul
ValueCountFrequency (%)
6903
 
10.9%
4985
 
7.9%
3479
 
5.5%
3454
 
5.5%
3420
 
5.4%
3418
 
5.4%
3416
 
5.4%
3416
 
5.4%
3413
 
5.4%
2819
 
4.5%
Other values (284) 24405
38.7%
CJK
ValueCountFrequency (%)
12
100.0%
Number Forms
ValueCountFrequency (%)
1
100.0%

도로명주소
Text

MISSING 

Distinct1203
Distinct (%)44.2%
Missing691
Missing (%)20.2%
Memory size26.8 KiB
2024-04-30T04:43:29.700183image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length62
Median length59
Mean length37.084802
Min length23

Characters and Unicode

Total characters101019
Distinct characters338
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

Unique1051 ?
Unique (%)38.6%

Sample

1st row서울특별시 서대문구 북아현로4길 14 (북아현동)
2nd row서울특별시 서대문구 북아현로 50-8 (북아현동)
3rd row서울특별시 서대문구 연희로11길 26 (연희동,(1층))
4th row서울특별시 서대문구 증가로 219 (북가좌동)
5th row서울특별시 서대문구 수색로2길 47 (남가좌동)
ValueCountFrequency (%)
서울특별시 2723
14.2%
서대문구 2723
14.2%
창천동 1420
 
7.4%
신촌로 1411
 
7.4%
지하1층 1403
 
7.3%
83 1391
 
7.3%
현대백화점신촌점 1022
 
5.3%
1층 618
 
3.2%
홍제동 344
 
1.8%
현대백화점 292
 
1.5%
Other values (1128) 5800
30.3%
2024-04-30T04:43:30.285512image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
16427
 
16.3%
5535
 
5.5%
4275
 
4.2%
, 3217
 
3.2%
1 3103
 
3.1%
) 2850
 
2.8%
( 2850
 
2.8%
2803
 
2.8%
2801
 
2.8%
2795
 
2.8%
Other values (328) 54363
53.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 65185
64.5%
Space Separator 16427
 
16.3%
Decimal Number 9807
 
9.7%
Other Punctuation 3223
 
3.2%
Close Punctuation 2850
 
2.8%
Open Punctuation 2850
 
2.8%
Uppercase Letter 377
 
0.4%
Dash Punctuation 234
 
0.2%
Lowercase Letter 65
 
0.1%
Letter Number 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
5535
 
8.5%
4275
 
6.6%
2803
 
4.3%
2801
 
4.3%
2795
 
4.3%
2765
 
4.2%
2763
 
4.2%
2727
 
4.2%
2725
 
4.2%
2723
 
4.2%
Other values (288) 33273
51.0%
Uppercase Letter
ValueCountFrequency (%)
G 74
19.6%
C 66
17.5%
S 64
17.0%
M 60
15.9%
D 57
15.1%
B 36
9.5%
A 10
 
2.7%
T 3
 
0.8%
V 1
 
0.3%
K 1
 
0.3%
Other values (5) 5
 
1.3%
Decimal Number
ValueCountFrequency (%)
1 3103
31.6%
3 1920
19.6%
8 1777
18.1%
4 767
 
7.8%
2 718
 
7.3%
0 390
 
4.0%
5 363
 
3.7%
7 277
 
2.8%
9 256
 
2.6%
6 236
 
2.4%
Other Punctuation
ValueCountFrequency (%)
, 3217
99.8%
? 2
 
0.1%
/ 2
 
0.1%
& 1
 
< 0.1%
@ 1
 
< 0.1%
Lowercase Letter
ValueCountFrequency (%)
g 46
70.8%
s 14
 
21.5%
e 3
 
4.6%
b 1
 
1.5%
a 1
 
1.5%
Space Separator
ValueCountFrequency (%)
16427
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2850
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2850
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 234
100.0%
Letter Number
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 65183
64.5%
Common 35391
35.0%
Latin 443
 
0.4%
Han 2
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
5535
 
8.5%
4275
 
6.6%
2803
 
4.3%
2801
 
4.3%
2795
 
4.3%
2765
 
4.2%
2763
 
4.2%
2727
 
4.2%
2725
 
4.2%
2723
 
4.2%
Other values (286) 33271
51.0%
Latin
ValueCountFrequency (%)
G 74
16.7%
C 66
14.9%
S 64
14.4%
M 60
13.5%
D 57
12.9%
g 46
10.4%
B 36
8.1%
s 14
 
3.2%
A 10
 
2.3%
T 3
 
0.7%
Other values (11) 13
 
2.9%
Common
ValueCountFrequency (%)
16427
46.4%
, 3217
 
9.1%
1 3103
 
8.8%
) 2850
 
8.1%
( 2850
 
8.1%
3 1920
 
5.4%
8 1777
 
5.0%
4 767
 
2.2%
2 718
 
2.0%
0 390
 
1.1%
Other values (9) 1372
 
3.9%
Han
ValueCountFrequency (%)
1
50.0%
1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 65182
64.5%
ASCII 35833
35.5%
CJK 2
 
< 0.1%
Compat Jamo 1
 
< 0.1%
Number Forms 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
16427
45.8%
, 3217
 
9.0%
1 3103
 
8.7%
) 2850
 
8.0%
( 2850
 
8.0%
3 1920
 
5.4%
8 1777
 
5.0%
4 767
 
2.1%
2 718
 
2.0%
0 390
 
1.1%
Other values (29) 1814
 
5.1%
Hangul
ValueCountFrequency (%)
5535
 
8.5%
4275
 
6.6%
2803
 
4.3%
2801
 
4.3%
2795
 
4.3%
2765
 
4.2%
2763
 
4.2%
2727
 
4.2%
2725
 
4.2%
2723
 
4.2%
Other values (285) 33270
51.0%
CJK
ValueCountFrequency (%)
1
50.0%
1
50.0%
Compat Jamo
ValueCountFrequency (%)
1
100.0%
Number Forms
ValueCountFrequency (%)
1
100.0%

도로명우편번호
Real number (ℝ)

MISSING  SKEWED 

Distinct165
Distinct (%)6.1%
Missing701
Missing (%)20.5%
Infinite0
Infinite (%)0.0%
Mean3742.7008
Minimum3600
Maximum10125
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size30.1 KiB
2024-04-30T04:43:30.403588image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3600
5-th percentile3628
Q13691.25
median3789
Q33789
95-th percentile3789
Maximum10125
Range6525
Interquartile range (IQR)97.75

Descriptive statistics

Standard deviation136.93127
Coefficient of variation (CV)0.036586219
Kurtosis1740.5391
Mean3742.7008
Median Absolute Deviation (MAD)0
Skewness37.264679
Sum10157690
Variance18750.173
MonotonicityNot monotonic
2024-04-30T04:43:30.519842image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
3789 1396
40.9%
3628 162
 
4.7%
3691 100
 
2.9%
3730 76
 
2.2%
3712 71
 
2.1%
3734 47
 
1.4%
3674 36
 
1.1%
3766 31
 
0.9%
3707 31
 
0.9%
3703 24
 
0.7%
Other values (155) 740
21.7%
(Missing) 701
20.5%
ValueCountFrequency (%)
3600 2
 
0.1%
3601 1
 
< 0.1%
3602 7
 
0.2%
3604 21
0.6%
3605 22
0.6%
3606 5
 
0.1%
3607 1
 
< 0.1%
3611 6
 
0.2%
3612 3
 
0.1%
3613 2
 
0.1%
ValueCountFrequency (%)
10125 1
 
< 0.1%
3790 1
 
< 0.1%
3789 1396
40.9%
3788 7
 
0.2%
3787 11
 
0.3%
3786 5
 
0.1%
3785 8
 
0.2%
3784 5
 
0.1%
3783 4
 
0.1%
3781 6
 
0.2%
Distinct1836
Distinct (%)53.8%
Missing0
Missing (%)0.0%
Memory size26.8 KiB
2024-04-30T04:43:30.736403image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length32
Median length24
Mean length6.5443631
Min length1

Characters and Unicode

Total characters22349
Distinct characters710
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

Unique1522 ?
Unique (%)44.6%

Sample

1st row왕자방아간
2nd row후생방아간
3rd row이천방아간
4th row해태방아간
5th row형제방아간
ValueCountFrequency (%)
주식회사 199
 
5.1%
주)참살이유통 115
 
2.9%
주)햇살드림 57
 
1.4%
엠엔에이치(m&h 57
 
1.4%
진현에프앤디 51
 
1.3%
월드푸드 49
 
1.2%
주)행복생활건강 46
 
1.2%
토담 43
 
1.1%
주)토담 41
 
1.0%
온누리농특산 32
 
0.8%
Other values (2001) 3250
82.5%
2024-04-30T04:43:31.115512image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1046
 
4.7%
) 997
 
4.5%
( 993
 
4.4%
558
 
2.5%
525
 
2.3%
507
 
2.3%
343
 
1.5%
321
 
1.4%
318
 
1.4%
315
 
1.4%
Other values (700) 16426
73.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 18603
83.2%
Close Punctuation 997
 
4.5%
Open Punctuation 993
 
4.4%
Space Separator 525
 
2.3%
Uppercase Letter 524
 
2.3%
Lowercase Letter 493
 
2.2%
Other Punctuation 151
 
0.7%
Decimal Number 58
 
0.3%
Dash Punctuation 4
 
< 0.1%
Connector Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
1046
 
5.6%
558
 
3.0%
507
 
2.7%
343
 
1.8%
321
 
1.7%
318
 
1.7%
315
 
1.7%
290
 
1.6%
265
 
1.4%
263
 
1.4%
Other values (630) 14377
77.3%
Lowercase Letter
ValueCountFrequency (%)
e 51
 
10.3%
a 48
 
9.7%
o 47
 
9.5%
l 34
 
6.9%
u 34
 
6.9%
r 30
 
6.1%
i 30
 
6.1%
n 29
 
5.9%
t 29
 
5.9%
m 25
 
5.1%
Other values (15) 136
27.6%
Uppercase Letter
ValueCountFrequency (%)
M 76
14.5%
H 68
13.0%
F 49
 
9.4%
B 42
 
8.0%
E 38
 
7.3%
A 36
 
6.9%
O 25
 
4.8%
S 23
 
4.4%
D 21
 
4.0%
L 19
 
3.6%
Other values (13) 127
24.2%
Decimal Number
ValueCountFrequency (%)
1 11
19.0%
9 9
15.5%
2 8
13.8%
0 6
10.3%
3 6
10.3%
4 5
8.6%
8 5
8.6%
7 3
 
5.2%
5 3
 
5.2%
6 2
 
3.4%
Other Punctuation
ValueCountFrequency (%)
& 116
76.8%
? 12
 
7.9%
. 11
 
7.3%
, 6
 
4.0%
3
 
2.0%
' 2
 
1.3%
! 1
 
0.7%
Close Punctuation
ValueCountFrequency (%)
) 997
100.0%
Open Punctuation
ValueCountFrequency (%)
( 993
100.0%
Space Separator
ValueCountFrequency (%)
525
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 4
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 18592
83.2%
Common 2729
 
12.2%
Latin 1017
 
4.6%
Han 11
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
1046
 
5.6%
558
 
3.0%
507
 
2.7%
343
 
1.8%
321
 
1.7%
318
 
1.7%
315
 
1.7%
290
 
1.6%
265
 
1.4%
263
 
1.4%
Other values (624) 14366
77.3%
Latin
ValueCountFrequency (%)
M 76
 
7.5%
H 68
 
6.7%
e 51
 
5.0%
F 49
 
4.8%
a 48
 
4.7%
o 47
 
4.6%
B 42
 
4.1%
E 38
 
3.7%
A 36
 
3.5%
l 34
 
3.3%
Other values (38) 528
51.9%
Common
ValueCountFrequency (%)
) 997
36.5%
( 993
36.4%
525
19.2%
& 116
 
4.3%
? 12
 
0.4%
1 11
 
0.4%
. 11
 
0.4%
9 9
 
0.3%
2 8
 
0.3%
, 6
 
0.2%
Other values (12) 41
 
1.5%
Han
ValueCountFrequency (%)
3
27.3%
3
27.3%
2
18.2%
1
 
9.1%
1
 
9.1%
1
 
9.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 18592
83.2%
ASCII 3743
 
16.7%
CJK 11
 
< 0.1%
None 3
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
1046
 
5.6%
558
 
3.0%
507
 
2.7%
343
 
1.8%
321
 
1.7%
318
 
1.7%
315
 
1.7%
290
 
1.6%
265
 
1.4%
263
 
1.4%
Other values (624) 14366
77.3%
ASCII
ValueCountFrequency (%)
) 997
26.6%
( 993
26.5%
525
14.0%
& 116
 
3.1%
M 76
 
2.0%
H 68
 
1.8%
e 51
 
1.4%
F 49
 
1.3%
a 48
 
1.3%
o 47
 
1.3%
Other values (59) 773
20.7%
CJK
ValueCountFrequency (%)
3
27.3%
3
27.3%
2
18.2%
1
 
9.1%
1
 
9.1%
1
 
9.1%
None
ValueCountFrequency (%)
3
100.0%
Distinct2468
Distinct (%)72.3%
Missing0
Missing (%)0.0%
Memory size26.8 KiB
Minimum1999-04-21 00:00:00
Maximum2024-04-25 13:18:32
2024-04-30T04:43:31.234262image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T04:43:31.351549image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size26.8 KiB
I
1804 
U
1611 

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 1804
52.8%
U 1611
47.2%

Length

2024-04-30T04:43:31.464473image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:43:31.542490image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 1804
52.8%
u 1611
47.2%
Distinct952
Distinct (%)27.9%
Missing0
Missing (%)0.0%
Memory size26.8 KiB
Minimum2018-08-31 23:59:59
Maximum2023-12-04 00:07:00
2024-04-30T04:43:31.626774image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T04:43:31.750250image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업태구분명
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size26.8 KiB
즉석판매제조가공업
3413 
기타
 
2

Length

Max length9
Median length9
Mean length8.9959004
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
즉석판매제조가공업 3413
99.9%
기타 2
 
0.1%

Length

2024-04-30T04:43:31.869952image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:43:31.964614image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
즉석판매제조가공업 3413
99.9%
기타 2
 
0.1%

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct873
Distinct (%)26.7%
Missing142
Missing (%)4.2%
Infinite0
Infinite (%)0.0%
Mean194238.21
Minimum179692.81
Maximum197144.02
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size30.1 KiB
2024-04-30T04:43:32.073265image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum179692.81
5-th percentile192079.33
Q1194265.07
median194265.07
Q3194850.36
95-th percentile195987.89
Maximum197144.02
Range17451.202
Interquartile range (IQR)585.29339

Descriptive statistics

Standard deviation1033.0009
Coefficient of variation (CV)0.0053182166
Kurtosis12.265004
Mean194238.21
Median Absolute Deviation (MAD)319.05636
Skewness-1.113377
Sum6.3574168 × 108
Variance1067090.9
MonotonicityNot monotonic
2024-04-30T04:43:32.303130image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
194265.067639805 1512
44.3%
194850.361025035 135
 
4.0%
192000.945942229 115
 
3.4%
195281.395461663 77
 
2.3%
193139.52394401 36
 
1.1%
192482.416512858 26
 
0.8%
195280.710219904 19
 
0.6%
194976.3838965 17
 
0.5%
193716.339877929 17
 
0.5%
194920.532436667 17
 
0.5%
Other values (863) 1302
38.1%
(Missing) 142
 
4.2%
ValueCountFrequency (%)
179692.813148852 1
< 0.1%
191518.681259249 1
< 0.1%
191552.612967645 1
< 0.1%
191559.918118738 1
< 0.1%
191572.384552653 2
0.1%
191624.443466756 1
< 0.1%
191664.261439483 1
< 0.1%
191721.080450239 1
< 0.1%
191775.454608314 1
< 0.1%
191779.070485342 1
< 0.1%
ValueCountFrequency (%)
197144.015440398 1
 
< 0.1%
197040.207721042 1
 
< 0.1%
196961.574307652 1
 
< 0.1%
196947.249719346 1
 
< 0.1%
196912.713362244 1
 
< 0.1%
196879.068565528 1
 
< 0.1%
196846.549299052 1
 
< 0.1%
196838.683015277 3
0.1%
196818.541279535 1
 
< 0.1%
196803.993746595 1
 
< 0.1%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct873
Distinct (%)26.7%
Missing142
Missing (%)4.2%
Infinite0
Infinite (%)0.0%
Mean451743
Minimum450371.79
Maximum455710.43
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size30.1 KiB
2024-04-30T04:43:32.450120image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum450371.79
5-th percentile450433.69
Q1450433.69
median450697.12
Q3452877.39
95-th percentile454477.71
Maximum455710.43
Range5338.6398
Interquartile range (IQR)2443.695

Descriptive statistics

Standard deviation1550.2672
Coefficient of variation (CV)0.0034317458
Kurtosis-0.8834011
Mean451743
Median Absolute Deviation (MAD)263.42578
Skewness0.7459903
Sum1.4785549 × 109
Variance2403328.3
MonotonicityNot monotonic
2024-04-30T04:43:32.575348image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
450433.691021245 1512
44.3%
454344.432517428 135
 
4.0%
452848.009128439 115
 
3.4%
453657.534811024 77
 
2.3%
453106.002592232 36
 
1.1%
452143.491541077 26
 
0.8%
455193.014698844 19
 
0.6%
454477.712168964 17
 
0.5%
451653.563671802 17
 
0.5%
454188.343575118 17
 
0.5%
Other values (863) 1302
38.1%
(Missing) 142
 
4.2%
ValueCountFrequency (%)
450371.790065047 1
 
< 0.1%
450422.374151297 1
 
< 0.1%
450433.691021245 1512
44.3%
450450.682916715 1
 
< 0.1%
450469.610782261 1
 
< 0.1%
450476.244209584 3
 
0.1%
450478.352188795 1
 
< 0.1%
450484.124763157 1
 
< 0.1%
450488.150258872 2
 
0.1%
450501.1688616 4
 
0.1%
ValueCountFrequency (%)
455710.429910779 1
 
< 0.1%
455689.567479919 2
0.1%
455587.928436911 2
0.1%
455521.138091877 1
 
< 0.1%
455471.069198831 1
 
< 0.1%
455381.480302685 3
0.1%
455355.645454924 1
 
< 0.1%
455348.388427014 1
 
< 0.1%
455311.309907943 1
 
< 0.1%
455305.162186539 1
 
< 0.1%

위생업태명
Categorical

Distinct3
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size26.8 KiB
즉석판매제조가공업
2584 
<NA>
829 
기타
 
2

Length

Max length9
Median length9
Mean length7.7821376
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
즉석판매제조가공업 2584
75.7%
<NA> 829
 
24.3%
기타 2
 
0.1%

Length

2024-04-30T04:43:32.689021image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:43:32.772300image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
즉석판매제조가공업 2584
75.7%
na 829
 
24.3%
기타 2
 
0.1%

남성종사자수
Categorical

IMBALANCE 

Distinct5
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size26.8 KiB
<NA>
3057 
0
 
267
1
 
80
2
 
8
3
 
3

Length

Max length4
Median length4
Mean length3.6855051
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 3057
89.5%
0 267
 
7.8%
1 80
 
2.3%
2 8
 
0.2%
3 3
 
0.1%

Length

2024-04-30T04:43:32.860994image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:43:32.946278image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 3057
89.5%
0 267
 
7.8%
1 80
 
2.3%
2 8
 
0.2%
3 3
 
0.1%

여성종사자수
Categorical

IMBALANCE 

Distinct3
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size26.8 KiB
<NA>
3080 
0
 
281
1
 
54

Length

Max length4
Median length4
Mean length3.7057101
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 3080
90.2%
0 281
 
8.2%
1 54
 
1.6%

Length

2024-04-30T04:43:33.048986image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:43:33.135140image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 3080
90.2%
0 281
 
8.2%
1 54
 
1.6%

영업장주변구분명
Categorical

IMBALANCE 

Distinct7
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size26.8 KiB
<NA>
3117 
기타
 
170
주택가주변
 
113
아파트지역
 
8
유흥업소밀집지역
 
5
Other values (2)
 
2

Length

Max length8
Median length4
Mean length3.9437775
Min length2

Unique

Unique2 ?
Unique (%)0.1%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 3117
91.3%
기타 170
 
5.0%
주택가주변 113
 
3.3%
아파트지역 8
 
0.2%
유흥업소밀집지역 5
 
0.1%
학교정화(절대) 1
 
< 0.1%
결혼예식장주변 1
 
< 0.1%

Length

2024-04-30T04:43:33.227884image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:43:33.328681image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 3117
91.3%
기타 170
 
5.0%
주택가주변 113
 
3.3%
아파트지역 8
 
0.2%
유흥업소밀집지역 5
 
0.1%
학교정화(절대 1
 
< 0.1%
결혼예식장주변 1
 
< 0.1%

등급구분명
Categorical

IMBALANCE 

Distinct5
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size26.8 KiB
<NA>
3117 
기타
 
225
자율
 
32
우수
 
29
 
12

Length

Max length4
Median length4
Mean length3.8219619
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 3117
91.3%
기타 225
 
6.6%
자율 32
 
0.9%
우수 29
 
0.8%
12
 
0.4%

Length

2024-04-30T04:43:33.450521image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:43:33.554922image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 3117
91.3%
기타 225
 
6.6%
자율 32
 
0.9%
우수 29
 
0.8%
12
 
0.4%
Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size26.8 KiB
<NA>
2964 
상수도전용
451 

Length

Max length5
Median length4
Mean length4.1320644
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 2964
86.8%
상수도전용 451
 
13.2%

Length

2024-04-30T04:43:33.644996image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:43:33.726670image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 2964
86.8%
상수도전용 451
 
13.2%

총인원
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size26.8 KiB
<NA>
3204 
0
 
211

Length

Max length4
Median length4
Mean length3.8146413
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> 3204
93.8%
0 211
 
6.2%

Length

2024-04-30T04:43:33.868067image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:43:34.013155image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 3204
93.8%
0 211
 
6.2%

본사종업원수
Categorical

IMBALANCE 

Distinct3
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size26.8 KiB
<NA>
2634 
0
780 
1
 
1

Length

Max length4
Median length4
Mean length3.3139092
Min length1

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 2634
77.1%
0 780
 
22.8%
1 1
 
< 0.1%

Length

2024-04-30T04:43:34.166813image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:43:34.332947image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 2634
77.1%
0 780
 
22.8%
1 1
 
< 0.1%
Distinct3
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size26.8 KiB
<NA>
2632 
0
776 
1
 
7

Length

Max length4
Median length4
Mean length3.3121523
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 2632
77.1%
0 776
 
22.7%
1 7
 
0.2%

Length

2024-04-30T04:43:34.466601image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:43:34.557353image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 2632
77.1%
0 776
 
22.7%
1 7
 
0.2%

공장판매직종업원수
Categorical

IMBALANCE 

Distinct4
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size26.8 KiB
<NA>
2607 
0
768 
1
 
35
2
 
5

Length

Max length4
Median length4
Mean length3.2901903
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 2607
76.3%
0 768
 
22.5%
1 35
 
1.0%
2 5
 
0.1%

Length

2024-04-30T04:43:34.650245image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:43:34.738847image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 2607
76.3%
0 768
 
22.5%
1 35
 
1.0%
2 5
 
0.1%

공장생산직종업원수
Categorical

IMBALANCE 

Distinct5
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size26.8 KiB
<NA>
2593 
0
719 
1
 
62
2
 
36
3
 
5

Length

Max length4
Median length4
Mean length3.2778917
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 2593
75.9%
0 719
 
21.1%
1 62
 
1.8%
2 36
 
1.1%
3 5
 
0.1%

Length

2024-04-30T04:43:34.841877image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:43:34.947577image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 2593
75.9%
0 719
 
21.1%
1 62
 
1.8%
2 36
 
1.1%
3 5
 
0.1%
Distinct3
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size26.8 KiB
<NA>
2347 
임대
790 
자가
278 

Length

Max length4
Median length4
Mean length3.3745242
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> 2347
68.7%
임대 790
 
23.1%
자가 278
 
8.1%

Length

2024-04-30T04:43:35.255238image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:43:35.362754image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 2347
68.7%
임대 790
 
23.1%
자가 278
 
8.1%

보증액
Real number (ℝ)

MISSING  ZEROS 

Distinct7
Distinct (%)1.8%
Missing3028
Missing (%)88.7%
Infinite0
Infinite (%)0.0%
Mean354005.17
Minimum0
Maximum30000000
Zeros377
Zeros (%)11.0%
Negative0
Negative (%)0.0%
Memory size30.1 KiB
2024-04-30T04:43:35.470503image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum30000000
Range30000000
Interquartile range (IQR)0

Descriptive statistics

Standard deviation2509309.8
Coefficient of variation (CV)7.0883422
Kurtosis75.876108
Mean354005.17
Median Absolute Deviation (MAD)0
Skewness8.2877208
Sum1.37 × 108
Variance6.2966355 × 1012
MonotonicityNot monotonic
2024-04-30T04:43:35.588304image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
0 377
 
11.0%
10000000 3
 
0.1%
15000000 2
 
0.1%
20000000 2
 
0.1%
5000000 1
 
< 0.1%
2000000 1
 
< 0.1%
30000000 1
 
< 0.1%
(Missing) 3028
88.7%
ValueCountFrequency (%)
0 377
11.0%
2000000 1
 
< 0.1%
5000000 1
 
< 0.1%
10000000 3
 
0.1%
15000000 2
 
0.1%
20000000 2
 
0.1%
30000000 1
 
< 0.1%
ValueCountFrequency (%)
30000000 1
 
< 0.1%
20000000 2
 
0.1%
15000000 2
 
0.1%
10000000 3
 
0.1%
5000000 1
 
< 0.1%
2000000 1
 
< 0.1%
0 377
11.0%

월세액
Real number (ℝ)

MISSING  ZEROS 

Distinct12
Distinct (%)3.1%
Missing3027
Missing (%)88.6%
Infinite0
Infinite (%)0.0%
Mean27577.32
Minimum0
Maximum2500000
Zeros377
Zeros (%)11.0%
Negative0
Negative (%)0.0%
Memory size30.1 KiB
2024-04-30T04:43:35.698600image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum2500000
Range2500000
Interquartile range (IQR)0

Descriptive statistics

Standard deviation198865.79
Coefficient of variation (CV)7.2112082
Kurtosis94.908385
Mean27577.32
Median Absolute Deviation (MAD)0
Skewness9.2036783
Sum10700000
Variance3.9547604 × 1010
MonotonicityNot monotonic
2024-04-30T04:43:35.817745image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
0 377
 
11.0%
500000 1
 
< 0.1%
1000000 1
 
< 0.1%
450000 1
 
< 0.1%
850000 1
 
< 0.1%
250000 1
 
< 0.1%
2000000 1
 
< 0.1%
400000 1
 
< 0.1%
600000 1
 
< 0.1%
700000 1
 
< 0.1%
Other values (2) 2
 
0.1%
(Missing) 3027
88.6%
ValueCountFrequency (%)
0 377
11.0%
250000 1
 
< 0.1%
400000 1
 
< 0.1%
450000 1
 
< 0.1%
500000 1
 
< 0.1%
600000 1
 
< 0.1%
700000 1
 
< 0.1%
850000 1
 
< 0.1%
1000000 1
 
< 0.1%
1450000 1
 
< 0.1%
ValueCountFrequency (%)
2500000 1
< 0.1%
2000000 1
< 0.1%
1450000 1
< 0.1%
1000000 1
< 0.1%
850000 1
< 0.1%
700000 1
< 0.1%
600000 1
< 0.1%
500000 1
< 0.1%
450000 1
< 0.1%
400000 1
< 0.1%

다중이용업소여부
Boolean

CONSTANT  MISSING 

Distinct1
Distinct (%)< 0.1%
Missing829
Missing (%)24.3%
Memory size6.8 KiB
False
2586 
(Missing)
829 
ValueCountFrequency (%)
False 2586
75.7%
(Missing) 829
 
24.3%
2024-04-30T04:43:35.902676image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

시설총규모
Real number (ℝ)

MISSING  ZEROS 

Distinct50
Distinct (%)1.9%
Missing829
Missing (%)24.3%
Infinite0
Infinite (%)0.0%
Mean0.48838747
Minimum0
Maximum118.75
Zeros2494
Zeros (%)73.0%
Negative0
Negative (%)0.0%
Memory size30.1 KiB
2024-04-30T04:43:35.988044image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum118.75
Range118.75
Interquartile range (IQR)0

Descriptive statistics

Standard deviation4.1376369
Coefficient of variation (CV)8.4720374
Kurtosis343.45235
Mean0.48838747
Median Absolute Deviation (MAD)0
Skewness15.892668
Sum1262.97
Variance17.120039
MonotonicityNot monotonic
2024-04-30T04:43:36.102519image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 2494
73.0%
6.0 9
 
0.3%
6.6 8
 
0.2%
4.0 6
 
0.2%
3.0 6
 
0.2%
3.3 6
 
0.2%
15.0 5
 
0.1%
20.0 4
 
0.1%
5.0 3
 
0.1%
2.0 2
 
0.1%
Other values (40) 43
 
1.3%
(Missing) 829
 
24.3%
ValueCountFrequency (%)
0.0 2494
73.0%
1.8 1
 
< 0.1%
2.0 2
 
0.1%
2.31 1
 
< 0.1%
2.91 1
 
< 0.1%
3.0 6
 
0.2%
3.02 1
 
< 0.1%
3.28 1
 
< 0.1%
3.3 6
 
0.2%
3.4 1
 
< 0.1%
ValueCountFrequency (%)
118.75 1
< 0.1%
73.33 1
< 0.1%
60.97 1
< 0.1%
51.67 1
< 0.1%
50.7 1
< 0.1%
47.84 1
< 0.1%
30.0 1
< 0.1%
29.75 1
< 0.1%
29.44 1
< 0.1%
26.4 1
< 0.1%

전통업소지정번호
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing3415
Missing (%)100.0%
Memory size30.1 KiB

전통업소주된음식
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing3415
Missing (%)100.0%
Memory size30.1 KiB

홈페이지
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size26.8 KiB
<NA>
3414 
2
 
1

Length

Max length4
Median length4
Mean length3.9991215
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> 3414
> 99.9%
2 1
 
< 0.1%

Length

2024-04-30T04:43:36.226367image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:43:36.325609image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 3414
> 99.9%
2 1
 
< 0.1%

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)위생업태명남성종사자수여성종사자수영업장주변구분명등급구분명급수시설구분명총인원본사종업원수공장사무직종업원수공장판매직종업원수공장생산직종업원수건물소유구분명보증액월세액다중이용업소여부시설총규모전통업소지정번호전통업소주된음식홈페이지
031200003120000-107-1966-0009419661110<NA>3폐업2폐업20090114<NA><NA><NA>020363713439.65120080서울특별시 서대문구 현저동 779-0<NA><NA>왕자방아간2002-03-06 00:00:00I2018-08-31 23:59:59.0즉석판매제조가공업<NA><NA>즉석판매제조가공업<NA><NA>주택가주변자율<NA><NA><NA><NA><NA><NA><NA><NA><NA>N0.0<NA><NA><NA>
131200003120000-107-1966-0009519661110<NA>1영업/정상1영업<NA><NA><NA><NA>02 364662222.0120819서울특별시 서대문구 북아현동 125-46서울특별시 서대문구 북아현로4길 14 (북아현동)3757후생방아간2012-01-25 17:46:37I2018-08-31 23:59:59.0즉석판매제조가공업196176.888434450765.490767즉석판매제조가공업<NA><NA>기타기타<NA><NA>0000<NA><NA><NA>N0.0<NA><NA><NA>
231200003120000-107-1966-0009619661230<NA>1영업/정상1영업<NA><NA><NA><NA>02 362561842.14120190서울특별시 서대문구 북아현동 118-84서울특별시 서대문구 북아현로 50-8 (북아현동)3755이천방아간2013-11-27 13:44:53I2018-08-31 23:59:59.0즉석판매제조가공업196053.26509451057.389404즉석판매제조가공업<NA><NA>주택가주변기타<NA><NA>0000<NA><NA><NA>N0.0<NA><NA><NA>
331200003120000-107-1966-0010619661026<NA>3폐업2폐업20080514<NA><NA><NA>02 735792830.8120854서울특별시 서대문구 홍제동 139-16<NA><NA>해태방아간2003-08-27 00:00:00I2018-08-31 23:59:59.0즉석판매제조가공업195283.821419453800.982371즉석판매제조가공업00주택가주변기타<NA><NA>0000<NA><NA><NA>N0.0<NA><NA><NA>
431200003120000-107-1968-0010819681231<NA>3폐업2폐업20031020<NA><NA><NA>020738248130.15120853서울특별시 서대문구 홍제동 96-5<NA><NA>형제방아간2002-03-06 00:00:00I2018-08-31 23:59:59.0즉석판매제조가공업195352.248984453595.476575즉석판매제조가공업<NA><NA>주택가주변기타<NA><NA><NA><NA><NA><NA><NA><NA><NA>N0.0<NA><NA><NA>
531200003120000-107-1969-0009919691111<NA>3폐업2폐업20030714<NA><NA><NA>020324379816.32120835서울특별시 서대문구 창천동 111-22<NA><NA>연백방아간2002-03-06 00:00:00I2018-08-31 23:59:59.0즉석판매제조가공업194001.547146450587.137239즉석판매제조가공업<NA><NA>학교정화(절대)기타상수도전용<NA><NA><NA><NA><NA><NA><NA><NA>N0.0<NA><NA><NA>
631200003120000-107-1970-0010019701223<NA>3폐업2폐업20030428<NA><NA><NA>020333167743.2120825서울특별시 서대문구 연희동 132-39<NA><NA>덕창제분소2002-03-06 00:00:00I2018-08-31 23:59:59.0즉석판매제조가공업193721.989582451743.43633즉석판매제조가공업<NA><NA>주택가주변기타<NA><NA><NA><NA><NA><NA><NA><NA><NA>N0.0<NA><NA><NA>
731200003120000-107-1971-0010119710309<NA>1영업/정상1영업<NA><NA><NA><NA>02 324291334.85120825서울특별시 서대문구 연희동 132-25 (1층)서울특별시 서대문구 연희로11길 26 (연희동,(1층))3703대구떡집2012-09-19 21:34:46I2018-08-31 23:59:59.0즉석판매제조가공업193743.274945451718.47514즉석판매제조가공업00주택가주변기타상수도전용<NA>0000<NA><NA><NA>N0.0<NA><NA><NA>
831200003120000-107-1971-0010519711222<NA>3폐업2폐업20080627<NA><NA><NA>020334851427.5120823서울특별시 서대문구 연희동 1-32<NA><NA>영남방아간2005-05-20 00:00:00I2018-08-31 23:59:59.0즉석판매제조가공업194449.589141453405.968969즉석판매제조가공업<NA><NA>주택가주변기타<NA><NA>0000<NA><NA><NA>N0.0<NA><NA><NA>
931200003120000-107-1972-0011019720928<NA>3폐업2폐업20060519<NA><NA><NA>020394212518.0120857서울특별시 서대문구 홍제동 298-9 21,22,23호<NA><NA>제일방아간2002-03-06 00:00:00I2018-08-31 23:59:59.0즉석판매제조가공업194890.229728454280.276432즉석판매제조가공업<NA><NA>기타기타<NA><NA><NA><NA><NA><NA><NA><NA><NA>N0.0<NA><NA><NA>
개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)위생업태명남성종사자수여성종사자수영업장주변구분명등급구분명급수시설구분명총인원본사종업원수공장사무직종업원수공장판매직종업원수공장생산직종업원수건물소유구분명보증액월세액다중이용업소여부시설총규모전통업소지정번호전통업소주된음식홈페이지
340531200003120000-107-2024-000762024-04-15<NA>3폐업2폐업2024-04-24<NA><NA><NA><NA>0.0120-857서울특별시 서대문구 홍제동 294-46 유진상가, 유진아파트,공유캠퍼스서울특별시 서대문구 통일로 484, 1층 롯데슈퍼호 (홍제동)3628월드푸드2024-04-25 04:15:09U2023-12-03 22:07:00.0즉석판매제조가공업194850.361025454344.432517<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
340631200003120000-107-2024-000772024-04-15<NA>1영업/정상1영업<NA><NA><NA><NA><NA>13.3120-834서울특별시 서대문구 창천동 53-29 준빌딩서울특별시 서대문구 연세로7안길 47, 준빌딩 1층 (창천동)3787골드라팡에프앤비2024-04-15 11:22:35I2023-12-03 23:07:00.0즉석판매제조가공업194111.736743450670.230234<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
340731200003120000-107-2024-000782024-04-15<NA>1영업/정상1영업<NA><NA><NA><NA><NA>0.0120-706서울특별시 서대문구 창천동 30-33 현대백화점신촌점서울특별시 서대문구 신촌로 83, 현대백화점신촌점 지하1층 (창천동)3789(주)햇살드림2024-04-15 13:25:29I2023-12-03 23:07:00.0즉석판매제조가공업194265.06764450433.691021<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
340831200003120000-107-2024-000792024-04-16<NA>1영업/정상1영업<NA><NA><NA><NA><NA>0.0120-706서울특별시 서대문구 창천동 30-33 현대백화점신촌점서울특별시 서대문구 신촌로 83, 현대백화점신촌점 지하1층 (창천동)3789(주)케이프라이드2024-04-16 11:42:53I2023-12-03 23:08:00.0즉석판매제조가공업194265.06764450433.691021<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
340931200003120000-107-2024-000802024-04-16<NA>3폐업2폐업2024-04-24<NA><NA><NA><NA><NA>120-801서울특별시 서대문구 남가좌동 50-3 명지대학교서울특별시 서대문구 거북골로 34, 명지대학교 상가동 이마트에브리데이 일부호 (남가좌동)3674봉크레프트2024-04-25 04:15:09U2023-12-03 22:07:00.0즉석판매제조가공업193139.523944453106.002592<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
341031200003120000-107-2024-000812024-04-17<NA>3폐업2폐업2024-04-24<NA><NA><NA><NA>0.0120-120서울특별시 서대문구 남가좌동 396 DMC금호리첸시아서울특별시 서대문구 수색로2길 39, 아마트에브리데이 남가좌동 (남가좌동, DMC금호리첸시아)3712더원씨푸드(주)2024-04-25 04:15:09U2023-12-03 22:07:00.0즉석판매제조가공업192482.416513452143.491541<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
341131200003120000-107-2024-000822024-04-22<NA>1영업/정상1영업<NA><NA><NA><NA><NA>0.0120-120서울특별시 서대문구 남가좌동 396 DMC금호리첸시아서울특별시 서대문구 수색로2길 39, 지하1층 이마트에브리데이남가좌점호 (남가좌동, DMC금호리첸시아)3712주식회사 해원그룹2024-04-22 13:07:02I2023-12-03 22:04:00.0즉석판매제조가공업192482.416513452143.491541<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
341231200003120000-107-2024-000832024-04-23<NA>1영업/정상1영업<NA><NA><NA><NA><NA>0.0120-857서울특별시 서대문구 홍제동 294-46 유진상가, 유진아파트,공유캠퍼스서울특별시 서대문구 통일로 484, 롯데슈퍼 1층 (홍제동)3628주식회사 메르시푸드2024-04-23 13:05:19I2023-12-03 22:05:00.0즉석판매제조가공업194850.361025454344.432517<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
341331200003120000-107-2024-000842024-04-24<NA>1영업/정상1영업<NA><NA><NA><NA><NA>0.0120-090서울특별시 서대문구 홍제동 469 인왕산 한신휴플러스서울특별시 서대문구 통일로 397, 롯데슈퍼홍제2점 1층 (홍제동, 인왕산 한신휴플러스)3730(주)티제이푸드2024-04-25 09:11:08I2023-12-03 22:07:00.0즉석판매제조가공업195281.395462453657.534811<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
341431200003120000-107-2024-000852024-04-25<NA>1영업/정상1영업<NA><NA><NA><NA><NA>0.0120-706서울특별시 서대문구 창천동 30-33 현대백화점신촌점서울특별시 서대문구 신촌로 83, 현대백화점신촌점 지하1층 (창천동)3789(주)지오에프앤씨2024-04-25 13:18:32I2023-12-03 22:07:00.0즉석판매제조가공업194265.06764450433.691021<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>