Overview

Dataset statistics

Number of variables30
Number of observations288
Missing cells2789
Missing cells (%)32.3%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory72.7 KiB
Average record size in memory258.5 B

Variable types

Categorical9
Numeric5
Unsupported9
Text5
DateTime2

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),업소구분명,소재지,지정일자,신청일자,항목값1
Author서초구
URLhttps://data.seoul.go.kr/dataList/OA-19473/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
영업상태코드 has constant value ""Constant
영업상태명 has constant value ""Constant
상세영업상태코드 has constant value ""Constant
상세영업상태명 has constant value ""Constant
데이터갱신구분 has constant value ""Constant
데이터갱신일자 has constant value ""Constant
항목값1 has constant value ""Constant
인허가일자 is highly imbalanced (72.5%)Imbalance
업소구분명 is highly imbalanced (94.1%)Imbalance
인허가취소일자 has 288 (100.0%) missing valuesMissing
폐업일자 has 288 (100.0%) missing valuesMissing
휴업시작일자 has 288 (100.0%) missing valuesMissing
휴업종료일자 has 288 (100.0%) missing valuesMissing
재개업일자 has 288 (100.0%) missing valuesMissing
전화번호 has 36 (12.5%) missing valuesMissing
소재지면적 has 288 (100.0%) missing valuesMissing
도로명주소 has 65 (22.6%) missing valuesMissing
도로명우편번호 has 288 (100.0%) missing valuesMissing
업태구분명 has 288 (100.0%) missing valuesMissing
좌표정보(X) has 44 (15.3%) missing valuesMissing
좌표정보(Y) has 44 (15.3%) missing valuesMissing
지정일자 has 288 (100.0%) missing valuesMissing
신청일자 has 4 (1.4%) missing valuesMissing
관리번호 has unique valuesUnique
인허가취소일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
폐업일자 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
소재지면적 is an unsupported type, check if it needs cleaning or further analysisUnsupported
도로명우편번호 is an unsupported type, check if it needs cleaning or further analysisUnsupported
업태구분명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
지정일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported

Reproduction

Analysis started2024-05-11 06:17:23.203740
Analysis finished2024-05-11 06:17:24.342450
Duration1.14 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size2.4 KiB
3210000
288 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3210000
2nd row3210000
3rd row3210000
4th row3210000
5th row3210000

Common Values

ValueCountFrequency (%)
3210000 288
100.0%

Length

2024-05-11T06:17:24.713074image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T06:17:25.134983image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3210000 288
100.0%

관리번호
Real number (ℝ)

UNIQUE 

Distinct288
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.2100001 × 1017
Minimum3.2100001 × 1017
Maximum3.2100001 × 1017
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.7 KiB
2024-05-11T06:17:25.452168image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3.2100001 × 1017
5-th percentile3.2100001 × 1017
Q13.2100001 × 1017
median3.2100001 × 1017
Q33.2100001 × 1017
95-th percentile3.2100001 × 1017
Maximum3.2100001 × 1017
Range600002
Interquartile range (IQR)128

Descriptive statistics

Standard deviation160272.55
Coefficient of variation (CV)4.9929142 × 10-13
Kurtosis3.8966716
Mean3.2100001 × 1017
Median Absolute Deviation (MAD)64
Skewness-2.4109088
Sum2.1428372 × 1017
Variance2.5687292 × 1010
MonotonicityStrictly increasing
2024-05-11T06:17:25.989595image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
321000014199400001 1
 
0.3%
321000014199900114 1
 
0.3%
321000014199900166 1
 
0.3%
321000014199900165 1
 
0.3%
321000014199900164 1
 
0.3%
321000014199900163 1
 
0.3%
321000014199900162 1
 
0.3%
321000014199900161 1
 
0.3%
321000014199900160 1
 
0.3%
321000014199900159 1
 
0.3%
Other values (278) 278
96.5%
ValueCountFrequency (%)
321000014199400001 1
0.3%
321000014199400002 1
0.3%
321000014199400003 1
0.3%
321000014199400004 1
0.3%
321000014199400005 1
0.3%
321000014199400006 1
0.3%
321000014199400007 1
0.3%
321000014199400008 1
0.3%
321000014199400009 1
0.3%
321000014199400010 1
0.3%
ValueCountFrequency (%)
321000014200000003 1
0.3%
321000014200000002 1
0.3%
321000014200000001 1
0.3%
321000014199900254 1
0.3%
321000014199900253 1
0.3%
321000014199900252 1
0.3%
321000014199900251 1
0.3%
321000014199900250 1
0.3%
321000014199900249 1
0.3%
321000014199900248 1
0.3%

인허가일자
Categorical

IMBALANCE 

Distinct5
Distinct (%)1.7%
Missing0
Missing (%)0.0%
Memory size2.4 KiB
19991030
251 
19941206
33 
20000218
 
2
19990105
 
1
20000211
 
1

Length

Max length8
Median length8
Mean length8
Min length8

Unique

Unique2 ?
Unique (%)0.7%

Sample

1st row19941206
2nd row19941206
3rd row19941206
4th row19941206
5th row19941206

Common Values

ValueCountFrequency (%)
19991030 251
87.2%
19941206 33
 
11.5%
20000218 2
 
0.7%
19990105 1
 
0.3%
20000211 1
 
0.3%

Length

2024-05-11T06:17:26.585678image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T06:17:27.044275image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
19991030 251
87.2%
19941206 33
 
11.5%
20000218 2
 
0.7%
19990105 1
 
0.3%
20000211 1
 
0.3%

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing288
Missing (%)100.0%
Memory size2.7 KiB

영업상태코드
Categorical

CONSTANT 

Distinct1
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size2.4 KiB
1
288 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
1 288
100.0%

Length

2024-05-11T06:17:27.565502image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T06:17:28.145761image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 288
100.0%

영업상태명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size2.4 KiB
영업/정상
288 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업/정상 288
100.0%

Length

2024-05-11T06:17:28.712800image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T06:17:29.318724image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 288
100.0%

상세영업상태코드
Categorical

CONSTANT 

Distinct1
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size2.4 KiB
11
288 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row11
2nd row11
3rd row11
4th row11
5th row11

Common Values

ValueCountFrequency (%)
11 288
100.0%

Length

2024-05-11T06:17:29.936075image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T06:17:30.596935image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
11 288
100.0%

상세영업상태명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size2.4 KiB
영업
288 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업 288
100.0%

Length

2024-05-11T06:17:31.261242image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T06:17:31.947107image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업 288
100.0%

폐업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing288
Missing (%)100.0%
Memory size2.7 KiB

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing288
Missing (%)100.0%
Memory size2.7 KiB

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing288
Missing (%)100.0%
Memory size2.7 KiB

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing288
Missing (%)100.0%
Memory size2.7 KiB

전화번호
Text

MISSING 

Distinct248
Distinct (%)98.4%
Missing36
Missing (%)12.5%
Memory size2.4 KiB
2024-05-11T06:17:32.854528image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length10
Mean length10.65873
Min length7

Characters and Unicode

Total characters2686
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

Unique244 ?
Unique (%)96.8%

Sample

1st row02 5870709
2nd row5877373
3rd row5828817
4th row0002 5888778
5th row0002 5238883
ValueCountFrequency (%)
02 144
31.6%
0002 50
 
11.0%
002 6
 
1.3%
5731022 2
 
0.4%
000234816054 2
 
0.4%
000234737726 2
 
0.4%
5728219 2
 
0.4%
5996727 2
 
0.4%
5710705 1
 
0.2%
025789959 1
 
0.2%
Other values (244) 244
53.5%
2024-05-11T06:17:34.084686image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 545
20.3%
2 432
16.1%
5 333
12.4%
7 213
 
7.9%
210
 
7.8%
8 196
 
7.3%
3 164
 
6.1%
4 161
 
6.0%
1 160
 
6.0%
9 145
 
5.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2476
92.2%
Space Separator 210
 
7.8%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 545
22.0%
2 432
17.4%
5 333
13.4%
7 213
 
8.6%
8 196
 
7.9%
3 164
 
6.6%
4 161
 
6.5%
1 160
 
6.5%
9 145
 
5.9%
6 127
 
5.1%
Space Separator
ValueCountFrequency (%)
210
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 2686
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 545
20.3%
2 432
16.1%
5 333
12.4%
7 213
 
7.9%
210
 
7.8%
8 196
 
7.3%
3 164
 
6.1%
4 161
 
6.0%
1 160
 
6.0%
9 145
 
5.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2686
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 545
20.3%
2 432
16.1%
5 333
12.4%
7 213
 
7.9%
210
 
7.8%
8 196
 
7.3%
3 164
 
6.1%
4 161
 
6.0%
1 160
 
6.0%
9 145
 
5.4%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing288
Missing (%)100.0%
Memory size2.7 KiB

소재지우편번호
Real number (ℝ)

Distinct20
Distinct (%)7.0%
Missing2
Missing (%)0.7%
Infinite0
Infinite (%)0.0%
Mean137092.97
Minimum137041
Maximum137793
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.7 KiB
2024-05-11T06:17:34.461302image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum137041
5-th percentile137041
Q1137062
median137071
Q3137131
95-th percentile137140
Maximum137793
Range752
Interquartile range (IQR)69

Descriptive statistics

Standard deviation87.561783
Coefficient of variation (CV)0.00063870366
Kurtosis47.85373
Mean137092.97
Median Absolute Deviation (MAD)10
Skewness6.4630183
Sum39208590
Variance7667.0659
MonotonicityNot monotonic
2024-05-11T06:17:34.689071image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=20)
ValueCountFrequency (%)
137132 41
14.2%
137071 39
13.5%
137041 33
11.5%
137131 28
9.7%
137063 27
9.4%
137062 26
9.0%
137074 26
9.0%
137072 24
8.3%
137140 13
 
4.5%
137049 11
 
3.8%
Other values (10) 18
6.2%
ValueCountFrequency (%)
137041 33
11.5%
137042 1
 
0.3%
137044 8
 
2.8%
137049 11
 
3.8%
137060 1
 
0.3%
137062 26
9.0%
137063 27
9.4%
137071 39
13.5%
137072 24
8.3%
137073 1
 
0.3%
ValueCountFrequency (%)
137793 1
 
0.3%
137786 1
 
0.3%
137772 1
 
0.3%
137716 1
 
0.3%
137160 2
 
0.7%
137150 1
 
0.3%
137140 13
 
4.5%
137132 41
14.2%
137131 28
9.7%
137074 26
9.0%

지번주소
Text

Distinct271
Distinct (%)94.1%
Missing0
Missing (%)0.0%
Memory size2.4 KiB
2024-05-11T06:17:35.334690image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length26
Median length25
Mean length22.232639
Min length18

Characters and Unicode

Total characters6403
Distinct characters39
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique255 ?
Unique (%)88.5%

Sample

1st row서울특별시 서초구 서초동 1435-6번지
2nd row서울특별시 서초구 서초동 1432-24번지
3rd row서울특별시 서초구 서초동 1604-18번지
4th row서울특별시 서초구 서초동 1617-32번지
5th row서울특별시 서초구 서초동 1621-15번지
ValueCountFrequency (%)
서울특별시 288
24.9%
서초구 288
24.9%
서초동 93
 
8.1%
양재동 70
 
6.1%
방배동 55
 
4.8%
반포동 54
 
4.7%
우면동 13
 
1.1%
1309-9번지 3
 
0.3%
20-1번지 2
 
0.2%
2525번지 2
 
0.2%
Other values (271) 287
24.8%
2024-05-11T06:17:36.520077image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1155
18.0%
서 669
 
10.4%
초 381
 
6.0%
지 290
 
4.5%
1 289
 
4.5%
번 288
 
4.5%
특 288
 
4.5%
별 288
 
4.5%
시 288
 
4.5%
구 288
 
4.5%
Other values (29) 2179
34.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3753
58.6%
Decimal Number 1260
 
19.7%
Space Separator 1155
 
18.0%
Dash Punctuation 235
 
3.7%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
서 669
17.8%
초 381
10.2%
지 290
7.7%
번 288
7.7%
특 288
7.7%
별 288
7.7%
시 288
7.7%
구 288
7.7%
동 288
7.7%
울 288
7.7%
Other values (17) 397
10.6%
Decimal Number
ValueCountFrequency (%)
1 289
22.9%
3 170
13.5%
2 136
10.8%
6 111
 
8.8%
4 106
 
8.4%
5 95
 
7.5%
7 92
 
7.3%
9 89
 
7.1%
0 88
 
7.0%
8 84
 
6.7%
Space Separator
ValueCountFrequency (%)
1155
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 235
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3753
58.6%
Common 2650
41.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
서 669
17.8%
초 381
10.2%
지 290
7.7%
번 288
7.7%
특 288
7.7%
별 288
7.7%
시 288
7.7%
구 288
7.7%
동 288
7.7%
울 288
7.7%
Other values (17) 397
10.6%
Common
ValueCountFrequency (%)
1155
43.6%
1 289
 
10.9%
- 235
 
8.9%
3 170
 
6.4%
2 136
 
5.1%
6 111
 
4.2%
4 106
 
4.0%
5 95
 
3.6%
7 92
 
3.5%
9 89
 
3.4%
Other values (2) 172
 
6.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3753
58.6%
ASCII 2650
41.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1155
43.6%
1 289
 
10.9%
- 235
 
8.9%
3 170
 
6.4%
2 136
 
5.1%
6 111
 
4.2%
4 106
 
4.0%
5 95
 
3.6%
7 92
 
3.5%
9 89
 
3.4%
Other values (2) 172
 
6.5%
Hangul
ValueCountFrequency (%)
서 669
17.8%
초 381
10.2%
지 290
7.7%
번 288
7.7%
특 288
7.7%
별 288
7.7%
시 288
7.7%
구 288
7.7%
동 288
7.7%
울 288
7.7%
Other values (17) 397
10.6%

도로명주소
Text

MISSING 

Distinct209
Distinct (%)93.7%
Missing65
Missing (%)22.6%
Memory size2.4 KiB
2024-05-11T06:17:37.126154image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length31
Median length29
Mean length26.165919
Min length22

Characters and Unicode

Total characters5835
Distinct characters77
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique196 ?
Unique (%)87.9%

Sample

1st row서울특별시 서초구 효령로70길 36-25 (서초동)
2nd row서울특별시 서초구 남부순환로339길 25 (서초동)
3rd row서울특별시 서초구 서리풀길 1 (서초동)
4th row서울특별시 서초구 서리풀2길 30 (서초동)
5th row서울특별시 서초구 서초중앙로6길 31 (서초동)
ValueCountFrequency (%)
서울특별시 223
20.0%
서초구 223
20.0%
서초동 69
 
6.2%
양재동 65
 
5.8%
반포동 45
 
4.0%
방배동 38
 
3.4%
강남대로 8
 
0.7%
효령로 8
 
0.7%
사임당로 7
 
0.6%
18 7
 
0.6%
Other values (261) 422
37.8%
2024-05-11T06:17:38.357064image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1114
19.1%
서 550
 
9.4%
초 319
 
5.5%
동 233
 
4.0%
구 225
 
3.9%
울 223
 
3.8%
) 223
 
3.8%
( 223
 
3.8%
시 223
 
3.8%
별 223
 
3.8%
Other values (67) 2279
39.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3448
59.1%
Space Separator 1114
 
19.1%
Decimal Number 784
 
13.4%
Close Punctuation 223
 
3.8%
Open Punctuation 223
 
3.8%
Dash Punctuation 43
 
0.7%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
서 550
16.0%
초 319
 
9.3%
동 233
 
6.8%
구 225
 
6.5%
울 223
 
6.5%
시 223
 
6.5%
별 223
 
6.5%
특 223
 
6.5%
로 195
 
5.7%
길 165
 
4.8%
Other values (53) 869
25.2%
Decimal Number
ValueCountFrequency (%)
1 164
20.9%
3 111
14.2%
2 108
13.8%
4 72
9.2%
5 67
8.5%
6 64
 
8.2%
7 64
 
8.2%
8 56
 
7.1%
0 40
 
5.1%
9 38
 
4.8%
Space Separator
ValueCountFrequency (%)
1114
100.0%
Close Punctuation
ValueCountFrequency (%)
) 223
100.0%
Open Punctuation
ValueCountFrequency (%)
( 223
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 43
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3448
59.1%
Common 2387
40.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
서 550
16.0%
초 319
 
9.3%
동 233
 
6.8%
구 225
 
6.5%
울 223
 
6.5%
시 223
 
6.5%
별 223
 
6.5%
특 223
 
6.5%
로 195
 
5.7%
길 165
 
4.8%
Other values (53) 869
25.2%
Common
ValueCountFrequency (%)
1114
46.7%
) 223
 
9.3%
( 223
 
9.3%
1 164
 
6.9%
3 111
 
4.7%
2 108
 
4.5%
4 72
 
3.0%
5 67
 
2.8%
6 64
 
2.7%
7 64
 
2.7%
Other values (4) 177
 
7.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3448
59.1%
ASCII 2387
40.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1114
46.7%
) 223
 
9.3%
( 223
 
9.3%
1 164
 
6.9%
3 111
 
4.7%
2 108
 
4.5%
4 72
 
3.0%
5 67
 
2.8%
6 64
 
2.7%
7 64
 
2.7%
Other values (4) 177
 
7.4%
Hangul
ValueCountFrequency (%)
서 550
16.0%
초 319
 
9.3%
동 233
 
6.8%
구 225
 
6.5%
울 223
 
6.5%
시 223
 
6.5%
별 223
 
6.5%
특 223
 
6.5%
로 195
 
5.7%
길 165
 
4.8%
Other values (53) 869
25.2%

도로명우편번호
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing288
Missing (%)100.0%
Memory size2.7 KiB

사업장명
Text

Distinct250
Distinct (%)86.8%
Missing0
Missing (%)0.0%
Memory size2.4 KiB
2024-05-11T06:17:39.035347image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length4
Mean length4.6006944
Min length2

Characters and Unicode

Total characters1325
Distinct characters223
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique234 ?
Unique (%)81.2%

Sample

1st row성일상회
2nd row풍년슈퍼
3rd row수원상회
4th row다정식품
5th row서초슈퍼
ValueCountFrequency (%)
코리아세븐 8
 
2.8%
lg25 7
 
2.4%
훼미리마트 6
 
2.1%
동양마트 5
 
1.7%
럭키수퍼 4
 
1.4%
엘지25 4
 
1.4%
코끼리수퍼 3
 
1.0%
현대마트 3
 
1.0%
현대식품 3
 
1.0%
우리수퍼 2
 
0.7%
Other values (239) 245
84.5%
2024-05-11T06:17:40.101745image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
퍼 117
 
8.8%
수 79
 
6.0%
마 46
 
3.5%
슈 44
 
3.3%
트 40
 
3.0%
식 34
 
2.6%
리 34
 
2.6%
품 33
 
2.5%
동 27
 
2.0%
미 26
 
2.0%
Other values (213) 845
63.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1223
92.3%
Decimal Number 53
 
4.0%
Uppercase Letter 32
 
2.4%
Lowercase Letter 5
 
0.4%
Open Punctuation 3
 
0.2%
Close Punctuation 3
 
0.2%
Other Punctuation 3
 
0.2%
Space Separator 2
 
0.2%
Dash Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
퍼 117
 
9.6%
수 79
 
6.5%
마 46
 
3.8%
슈 44
 
3.6%
트 40
 
3.3%
식 34
 
2.8%
리 34
 
2.8%
품 33
 
2.7%
동 27
 
2.2%
미 26
 
2.1%
Other values (190) 743
60.8%
Decimal Number
ValueCountFrequency (%)
2 21
39.6%
5 21
39.6%
1 4
 
7.5%
3 3
 
5.7%
4 2
 
3.8%
7 1
 
1.9%
6 1
 
1.9%
Uppercase Letter
ValueCountFrequency (%)
L 13
40.6%
G 12
37.5%
S 2
 
6.2%
T 2
 
6.2%
O 1
 
3.1%
M 1
 
3.1%
D 1
 
3.1%
Lowercase Letter
ValueCountFrequency (%)
g 2
40.0%
l 2
40.0%
c 1
20.0%
Other Punctuation
ValueCountFrequency (%)
. 2
66.7%
? 1
33.3%
Open Punctuation
ValueCountFrequency (%)
( 3
100.0%
Close Punctuation
ValueCountFrequency (%)
) 3
100.0%
Space Separator
ValueCountFrequency (%)
2
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1223
92.3%
Common 65
 
4.9%
Latin 37
 
2.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
퍼 117
 
9.6%
수 79
 
6.5%
마 46
 
3.8%
슈 44
 
3.6%
트 40
 
3.3%
식 34
 
2.8%
리 34
 
2.8%
품 33
 
2.7%
동 27
 
2.2%
미 26
 
2.1%
Other values (190) 743
60.8%
Common
ValueCountFrequency (%)
2 21
32.3%
5 21
32.3%
1 4
 
6.2%
( 3
 
4.6%
) 3
 
4.6%
3 3
 
4.6%
4 2
 
3.1%
. 2
 
3.1%
2
 
3.1%
- 1
 
1.5%
Other values (3) 3
 
4.6%
Latin
ValueCountFrequency (%)
L 13
35.1%
G 12
32.4%
g 2
 
5.4%
l 2
 
5.4%
S 2
 
5.4%
T 2
 
5.4%
c 1
 
2.7%
O 1
 
2.7%
M 1
 
2.7%
D 1
 
2.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1223
92.3%
ASCII 102
 
7.7%

Most frequent character per block

Hangul
ValueCountFrequency (%)
퍼 117
 
9.6%
수 79
 
6.5%
마 46
 
3.8%
슈 44
 
3.6%
트 40
 
3.3%
식 34
 
2.8%
리 34
 
2.8%
품 33
 
2.7%
동 27
 
2.2%
미 26
 
2.1%
Other values (190) 743
60.8%
ASCII
ValueCountFrequency (%)
2 21
20.6%
5 21
20.6%
L 13
12.7%
G 12
11.8%
1 4
 
3.9%
( 3
 
2.9%
) 3
 
2.9%
3 3
 
2.9%
g 2
 
2.0%
l 2
 
2.0%
Other values (13) 18
17.6%

최종수정일자
Date

Distinct4
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Memory size2.4 KiB
Minimum2007-07-14 11:58:12
Maximum2016-05-18 18:05:37
2024-05-11T06:17:40.448562image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T06:17:40.748167image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)

데이터갱신구분
Categorical

CONSTANT 

Distinct1
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size2.4 KiB
I
288 

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 288
100.0%

Length

2024-05-11T06:17:41.136852image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T06:17:41.458896image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 288
100.0%

데이터갱신일자
Date

CONSTANT 

Distinct1
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size2.4 KiB
Minimum2018-08-31 23:59:59
Maximum2018-08-31 23:59:59
2024-05-11T06:17:41.698566image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T06:17:42.027830image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing288
Missing (%)100.0%
Memory size2.7 KiB

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct230
Distinct (%)94.3%
Missing44
Missing (%)15.3%
Infinite0
Infinite (%)0.0%
Mean201695.53
Minimum198344.76
Maximum204408.88
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.7 KiB
2024-05-11T06:17:42.411021image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum198344.76
5-th percentile198720.63
Q1200914.39
median201832.08
Q3203101.07
95-th percentile203939.95
Maximum204408.88
Range6064.1224
Interquartile range (IQR)2186.6807

Descriptive statistics

Standard deviation1675.5778
Coefficient of variation (CV)0.0083074613
Kurtosis-0.74797976
Mean201695.53
Median Absolute Deviation (MAD)1030.0314
Skewness-0.48596847
Sum49213710
Variance2807561.1
MonotonicityNot monotonic
2024-05-11T06:17:42.846866image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
202111.924804655 3
 
1.0%
201679.288007001 2
 
0.7%
201343.798737649 2
 
0.7%
198389.022273532 2
 
0.7%
202676.289360432 2
 
0.7%
203902.377425675 2
 
0.7%
203269.264903784 2
 
0.7%
203625.951348067 2
 
0.7%
202455.439591918 2
 
0.7%
203576.712764186 2
 
0.7%
Other values (220) 223
77.4%
(Missing) 44
 
15.3%
ValueCountFrequency (%)
198344.761390706 1
0.3%
198389.022273532 2
0.7%
198463.984448209 1
0.3%
198490.65999772 1
0.3%
198505.112337527 1
0.3%
198520.208416444 1
0.3%
198534.504045953 1
0.3%
198535.50743075 1
0.3%
198627.722272467 1
0.3%
198678.901934477 1
0.3%
ValueCountFrequency (%)
204408.883783458 1
0.3%
204256.069226149 1
0.3%
204155.485085719 1
0.3%
204146.358317703 1
0.3%
204142.151524554 1
0.3%
204132.69760486 1
0.3%
204052.450645256 1
0.3%
204035.293228756 1
0.3%
204021.6 1
0.3%
204012.672488694 1
0.3%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct230
Distinct (%)94.3%
Missing44
Missing (%)15.3%
Infinite0
Infinite (%)0.0%
Mean442717.66
Minimum439123.41
Maximum445368.28
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.7 KiB
2024-05-11T06:17:43.427270image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum439123.41
5-th percentile440760.84
Q1441596.52
median442532.92
Q3443891.12
95-th percentile445069.3
Maximum445368.28
Range6244.8746
Interquartile range (IQR)2294.6004

Descriptive statistics

Standard deviation1417.0854
Coefficient of variation (CV)0.0032008784
Kurtosis-0.91668928
Mean442717.66
Median Absolute Deviation (MAD)1075.9218
Skewness0.17670578
Sum1.0802311 × 108
Variance2008131
MonotonicityNot monotonic
2024-05-11T06:17:43.885616image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
444427.636068272 3
 
1.0%
445167.636111493 2
 
0.7%
442938.460990116 2
 
0.7%
441358.650490197 2
 
0.7%
442753.591338365 2
 
0.7%
441535.523048613 2
 
0.7%
442433.477520972 2
 
0.7%
440627.71005447 2
 
0.7%
443399.493506372 2
 
0.7%
442468.206087384 2
 
0.7%
Other values (220) 223
77.4%
(Missing) 44
 
15.3%
ValueCountFrequency (%)
439123.409737111 1
0.3%
439524.792743725 1
0.3%
439583.348149956 1
0.3%
440125.988508969 1
0.3%
440281.405998565 1
0.3%
440425.82329747 1
0.3%
440471.199973164 1
0.3%
440627.71005447 2
0.7%
440677.953810791 1
0.3%
440751.051547738 1
0.3%
ValueCountFrequency (%)
445368.284306742 1
0.3%
445297.248426503 1
0.3%
445281.757823715 1
0.3%
445278.561747862 1
0.3%
445273.9867526 1
0.3%
445210.992123074 1
0.3%
445195.091466362 1
0.3%
445167.636111493 2
0.7%
445162.999820417 1
0.3%
445143.221393513 1
0.3%

업소구분명
Categorical

IMBALANCE 

Distinct3
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size2.4 KiB
지정
285 
종료
 
2
<NA>
 
1

Length

Max length4
Median length2
Mean length2.0069444
Min length2

Unique

Unique1 ?
Unique (%)0.3%

Sample

1st row종료
2nd row지정
3rd row지정
4th row지정
5th row지정

Common Values

ValueCountFrequency (%)
지정 285
99.0%
종료 2
 
0.7%
<NA> 1
 
0.3%

Length

2024-05-11T06:17:44.388344image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T06:17:44.784807image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
지정 285
99.0%
종료 2
 
0.7%
na 1
 
0.3%

소재지
Text

Distinct262
Distinct (%)91.6%
Missing2
Missing (%)0.7%
Memory size2.4 KiB
2024-05-11T06:17:45.703531image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length29
Median length27
Mean length24.975524
Min length14

Characters and Unicode

Total characters7143
Distinct characters46
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique241 ?
Unique (%)84.3%

Sample

1st row서울특별시 서초구 서초제1동1435-6
2nd row서울특별시 서초구 서초동 1432번지 24호
3rd row서울특별시 서초구 서초동 1604번지 18호
4th row서울특별시 서초구 서초동 1617번지 32 호
5th row서울특별시 서초구 서초동 1621번지 15 호
ValueCountFrequency (%)
서울특별시 285
17.8%
서초구 285
17.8%
호 221
13.8%
서초동 93
 
5.8%
양재동 71
 
4.4%
방배동 54
 
3.4%
반포동 53
 
3.3%
1 37
 
2.3%
3 12
 
0.8%
4 12
 
0.8%
Other values (280) 475
29.7%
2024-05-11T06:17:47.498015image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1931
27.0%
서 664
 
9.3%
초 380
 
5.3%
구 286
 
4.0%
동 286
 
4.0%
지 285
 
4.0%
특 285
 
4.0%
별 285
 
4.0%
시 285
 
4.0%
1 285
 
4.0%
Other values (36) 2171
30.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3956
55.4%
Space Separator 1931
27.0%
Decimal Number 1251
 
17.5%
Dash Punctuation 3
 
< 0.1%
Other Punctuation 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
서 664
16.8%
초 380
9.6%
구 286
7.2%
동 286
7.2%
지 285
7.2%
특 285
7.2%
별 285
7.2%
시 285
7.2%
울 285
7.2%
번 283
7.2%
Other values (23) 632
16.0%
Decimal Number
ValueCountFrequency (%)
1 285
22.8%
3 171
13.7%
2 138
11.0%
6 110
 
8.8%
4 101
 
8.1%
5 97
 
7.8%
9 90
 
7.2%
7 90
 
7.2%
0 87
 
7.0%
8 82
 
6.6%
Space Separator
ValueCountFrequency (%)
1931
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 3
100.0%
Other Punctuation
ValueCountFrequency (%)
? 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3956
55.4%
Common 3187
44.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
서 664
16.8%
초 380
9.6%
구 286
7.2%
동 286
7.2%
지 285
7.2%
특 285
7.2%
별 285
7.2%
시 285
7.2%
울 285
7.2%
번 283
7.2%
Other values (23) 632
16.0%
Common
ValueCountFrequency (%)
1931
60.6%
1 285
 
8.9%
3 171
 
5.4%
2 138
 
4.3%
6 110
 
3.5%
4 101
 
3.2%
5 97
 
3.0%
9 90
 
2.8%
7 90
 
2.8%
0 87
 
2.7%
Other values (3) 87
 
2.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3956
55.4%
ASCII 3187
44.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1931
60.6%
1 285
 
8.9%
3 171
 
5.4%
2 138
 
4.3%
6 110
 
3.5%
4 101
 
3.2%
5 97
 
3.0%
9 90
 
2.8%
7 90
 
2.8%
0 87
 
2.7%
Other values (3) 87
 
2.7%
Hangul
ValueCountFrequency (%)
서 664
16.8%
초 380
9.6%
구 286
7.2%
동 286
7.2%
지 285
7.2%
특 285
7.2%
별 285
7.2%
시 285
7.2%
울 285
7.2%
번 283
7.2%
Other values (23) 632
16.0%

지정일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing288
Missing (%)100.0%
Memory size2.7 KiB

신청일자
Real number (ℝ)

MISSING 

Distinct7
Distinct (%)2.5%
Missing4
Missing (%)1.4%
Infinite0
Infinite (%)0.0%
Mean19957341
Minimum11941206
Maximum20000218
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.7 KiB
2024-05-11T06:17:47.993316image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum11941206
5-th percentile19941206
Q119991030
median19991030
Q319991030
95-th percentile19991030
Maximum20000218
Range8059012
Interquartile range (IQR)0

Descriptive statistics

Standard deviation477606.47
Coefficient of variation (CV)0.023931368
Kurtosis283.38613
Mean19957341
Median Absolute Deviation (MAD)0
Skewness-16.825156
Sum5.6678848 × 109
Variance2.2810794 × 1011
MonotonicityNot monotonic
2024-05-11T06:17:48.537673image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
19991030 248
86.1%
19941206 28
 
9.7%
19941203 3
 
1.0%
20000218 2
 
0.7%
11941206 1
 
0.3%
19990105 1
 
0.3%
20000211 1
 
0.3%
(Missing) 4
 
1.4%
ValueCountFrequency (%)
11941206 1
 
0.3%
19941203 3
 
1.0%
19941206 28
 
9.7%
19990105 1
 
0.3%
19991030 248
86.1%
20000211 1
 
0.3%
20000218 2
 
0.7%
ValueCountFrequency (%)
20000218 2
 
0.7%
20000211 1
 
0.3%
19991030 248
86.1%
19990105 1
 
0.3%
19941206 28
 
9.7%
19941203 3
 
1.0%
11941206 1
 
0.3%

항목값1
Categorical

CONSTANT 

Distinct1
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size2.4 KiB
관급봉투
288 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
관급봉투 288
100.0%

Length

2024-05-11T06:17:49.211565image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T06:17:49.704743image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
관급봉투 288
100.0%

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)업소구분명소재지지정일자신청일자항목값1
0321000032100001419940000119941206<NA>1영업/정상11영업<NA><NA><NA><NA><NA><NA>137071서울특별시 서초구 서초동 1435-6번지서울특별시 서초구 효령로70길 36-25 (서초동)<NA>성일상회2013-12-20 14:01:29I2018-08-31 23:59:59.0<NA>202048.95199442526.323111종료서울특별시 서초구 서초제1동1435-6<NA>19941206관급봉투
1321000032100001419940000219941206<NA>1영업/정상11영업<NA><NA><NA><NA><NA><NA>137071서울특별시 서초구 서초동 1432-24번지서울특별시 서초구 남부순환로339길 25 (서초동)<NA>풍년슈퍼2007-07-14 11:58:12I2018-08-31 23:59:59.0<NA>201896.795436442443.044169지정서울특별시 서초구 서초동 1432번지 24호<NA>19941206관급봉투
2321000032100001419940000319941206<NA>1영업/정상11영업<NA><NA><NA><NA><NA><NA>137071서울특별시 서초구 서초동 1604-18번지서울특별시 서초구 서리풀길 1 (서초동)<NA>수원상회2007-07-14 11:58:12I2018-08-31 23:59:59.0<NA>201782.91882442702.148758지정서울특별시 서초구 서초동 1604번지 18호<NA>19941206관급봉투
3321000032100001419940000419941206<NA>1영업/정상11영업<NA><NA><NA><NA><NA><NA>137071서울특별시 서초구 서초동 1617-32번지서울특별시 서초구 서리풀2길 30 (서초동)<NA>다정식품2007-07-14 11:58:12I2018-08-31 23:59:59.0<NA>201927.321095442821.767609지정서울특별시 서초구 서초동 1617번지 32 호<NA>19941203관급봉투
4321000032100001419940000519941206<NA>1영업/정상11영업<NA><NA><NA><NA>02 5870709<NA>137071서울특별시 서초구 서초동 1621-15번지서울특별시 서초구 서초중앙로6길 31 (서초동)<NA>서초슈퍼2007-07-14 11:58:12I2018-08-31 23:59:59.0<NA>201446.48332442736.127358지정서울특별시 서초구 서초동 1621번지 15 호<NA>19941206관급봉투
5321000032100001419940000619941206<NA>1영업/정상11영업<NA><NA><NA><NA>5877373<NA><NA>서울특별시 서초구 서초동 1622-1번지서울특별시 서초구 서초중앙로12길 14 (서초동)<NA>나나식품2016-05-18 18:05:37I2018-08-31 23:59:59.0<NA>201319.962494442817.816692지정서울특별시 서초구 서초동 1622번지 1 호<NA>19941206관급봉투
6321000032100001419940000719941206<NA>1영업/정상11영업<NA><NA><NA><NA>5828817<NA>137071서울특별시 서초구 서초동 1671-5번지서울특별시 서초구 서초중앙로22길 25 (서초동)<NA>신흥슈퍼2007-07-14 11:58:12I2018-08-31 23:59:59.0<NA>201295.700038443474.524865지정서울특별시 서초구 서초동 1671번지 5 호<NA>19941203관급봉투
7321000032100001419940000819941206<NA>1영업/정상11영업<NA><NA><NA><NA><NA><NA>137071서울특별시 서초구 서초동 1629-3번지서울특별시 서초구 사임당로 86 (서초동)<NA>진영식품2007-07-14 11:58:12I2018-08-31 23:59:59.0<NA>201649.878333443042.834209지정서울특별시 서초구 서초동 1629번지 3 호<NA>19941206관급봉투
8321000032100001419940000919941206<NA>1영업/정상11영업<NA><NA><NA><NA>0002 5888778<NA>137071서울특별시 서초구 서초동 1610-3번지<NA><NA>무궁화식품2007-07-14 11:58:12I2018-08-31 23:59:59.0<NA><NA><NA>지정서울특별시 서초구 서초동 1610번지 3 호<NA>19941206관급봉투
9321000032100001419940001019941206<NA>1영업/정상11영업<NA><NA><NA><NA>0002 5238883<NA>137071서울특별시 서초구 서초동 1609-8번지<NA><NA>로약슈퍼2007-07-14 11:58:12I2018-08-31 23:59:59.0<NA><NA><NA>지정서울특별시 서초구 서초동 1609번지 8 호<NA>19941206관급봉투
개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)업소구분명소재지지정일자신청일자항목값1
278321000032100001419990024819991030<NA>1영업/정상11영업<NA><NA><NA><NA>02 5167441<NA>137041서울특별시 서초구 반포동 715-19번지서울특별시 서초구 주흥11길 27 (반포동)<NA>영빈상회2007-07-14 11:58:12I2018-08-31 23:59:59.0<NA>201558.081254445021.574455지정서울특별시 서초구 반포동 715번지 19 호<NA>19991030관급봉투
279321000032100001419990024919991030<NA>1영업/정상11영업<NA><NA><NA><NA>02 5154797<NA>137041서울특별시 서초구 반포동 718-9번지서울특별시 서초구 사평대로53길 103 (반포동)<NA>반포제일lg25시2007-07-14 11:58:12I2018-08-31 23:59:59.0<NA>201679.288007445167.636111지정서울특별시 서초구 반포동 718번지 9 호<NA>19991030관급봉투
280321000032100001419990025019991030<NA>1영업/정상11영업<NA><NA><NA><NA>02 5152056<NA>137041서울특별시 서초구 반포동 746번지서울특별시 서초구 강남대로79길 31 (반포동)<NA>훼미리마트3호점2007-07-14 11:58:12I2018-08-31 23:59:59.0<NA>201922.120751444692.849303지정서울특별시 서초구 반포동 746번지<NA>19991030관급봉투
281321000032100001419990025119991030<NA>1영업/정상11영업<NA><NA><NA><NA>02 5142466<NA>137041서울특별시 서초구 반포동 704-18번지서울특별시 서초구 신반포로 326-16 (반포동)<NA>영동훼미리마트2007-07-14 11:58:12I2018-08-31 23:59:59.0<NA>201660.629905445278.561748지정서울특별시 서초구 반포동 704번지 18 호<NA>19991030관급봉투
282321000032100001419990025219991030<NA>1영업/정상11영업<NA><NA><NA><NA>02 5466656<NA>137041서울특별시 서초구 반포동 735-26번지<NA><NA>임마뉴엘2007-07-14 11:58:12I2018-08-31 23:59:59.0<NA>201910.335805444922.607371지정서울특별시 서초구 반포동 735번지 26 호<NA>19991030관급봉투
283321000032100001419990025319991030<NA>1영업/정상11영업<NA><NA><NA><NA>02 5946545<NA>137041서울특별시 서초구 반포동 32-13번지서울특별시 서초구 고무래로 34 (반포동)<NA>유진유통2007-07-14 11:58:12I2018-08-31 23:59:59.0<NA>201030.766407444475.342156지정서울특별시 서초구 반포동 32번지 13 호<NA>19991030관급봉투
284321000032100001419990025419991030<NA>1영업/정상11영업<NA><NA><NA><NA>02 5482422<NA><NA>서울특별시 서초구 반포동 703-7번지서울특별시 서초구 주흥길 82 (반포동)<NA>반포마트2007-07-14 11:58:12I2018-08-31 23:59:59.0<NA>201546.351172445273.986753지정서울특별시 서초구 반포동 703번지 7 호<NA>19991030관급봉투
285321000032100001420000000120000211<NA>1영업/정상11영업<NA><NA><NA><NA>5996727<NA>137074서울특별시 서초구 서초동 1309-9번지서울특별시 서초구 서초대로77길 55 (서초동)<NA>LG25 강남중앙점2007-07-14 11:58:12I2018-08-31 23:59:59.0<NA>202111.924805444427.636068지정서울특별시 서초구 서초동 1309번지 9 호<NA>20000211관급봉투
286321000032100001420000000220000218<NA>1영업/정상11영업<NA><NA><NA><NA>582 1120<NA>137041서울특별시 서초구 반포동 718-9번지서울특별시 서초구 사평대로53길 103 (반포동)<NA>LG25 반포제일점2007-07-14 11:58:12I2018-08-31 23:59:59.0<NA>201679.288007445167.636111지정서울특별시 서초구 반포동 718번지 9 호<NA>20000218관급봉투
287321000032100001420000000320000218<NA>1영업/정상11영업<NA><NA><NA><NA><NA><NA>137073서울특별시 서초구 서초동 1539-10번지서울특별시 서초구 반포대로 93 (서초동)<NA>동신슈퍼2007-07-14 11:58:12I2018-08-31 23:59:59.0<NA>200708.194896442920.529042지정서울특별시 서초구 서초동 1539번지 10호<NA>20000218관급봉투