Overview

Dataset statistics

Number of variables44
Number of observations3271
Missing cells36228
Missing cells (%)25.2%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.2 MiB
Average record size in memory376.0 B

Variable types

Categorical20
Text7
DateTime4
Unsupported7
Numeric5
Boolean1

Dataset

Description개방자치단체코드,관리번호,인허가일자,인허가취소일자,영업상태코드,영업상태명,상세영업상태코드,상세영업상태명,폐업일자,휴업시작일자,휴업종료일자,재개업일자,전화번호,소재지면적,소재지우편번호,지번주소,도로명주소,도로명우편번호,사업장명,최종수정일자,데이터갱신구분,데이터갱신일자,업태구분명,좌표정보(X),좌표정보(Y),위생업태명,남성종사자수,여성종사자수,영업장주변구분명,등급구분명,급수시설구분명,총인원,본사종업원수,공장사무직종업원수,공장판매직종업원수,공장생산직종업원수,건물소유구분명,보증액,월세액,다중이용업소여부,시설총규모,전통업소지정번호,전통업소주된음식,홈페이지
Author서초구
URLhttps://data.seoul.go.kr/dataList/OA-18248/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
업태구분명 has constant value ""Constant
급수시설구분명 has constant value ""Constant
영업상태코드 is highly imbalanced (62.9%)Imbalance
영업상태명 is highly imbalanced (62.9%)Imbalance
상세영업상태코드 is highly imbalanced (62.9%)Imbalance
상세영업상태명 is highly imbalanced (62.9%)Imbalance
데이터갱신구분 is highly imbalanced (67.2%)Imbalance
위생업태명 is highly imbalanced (77.0%)Imbalance
영업장주변구분명 is highly imbalanced (63.6%)Imbalance
총인원 is highly imbalanced (93.3%)Imbalance
다중이용업소여부 is highly imbalanced (97.2%)Imbalance
인허가취소일자 has 3271 (100.0%) missing valuesMissing
폐업일자 has 233 (7.1%) missing valuesMissing
휴업시작일자 has 3271 (100.0%) missing valuesMissing
휴업종료일자 has 3271 (100.0%) missing valuesMissing
재개업일자 has 3271 (100.0%) missing valuesMissing
전화번호 has 478 (14.6%) missing valuesMissing
소재지면적 has 2790 (85.3%) missing valuesMissing
도로명주소 has 2727 (83.4%) missing valuesMissing
도로명우편번호 has 2737 (83.7%) missing valuesMissing
좌표정보(X) has 426 (13.0%) missing valuesMissing
좌표정보(Y) has 426 (13.0%) missing valuesMissing
급수시설구분명 has 3270 (> 99.9%) missing valuesMissing
다중이용업소여부 has 122 (3.7%) missing valuesMissing
시설총규모 has 122 (3.7%) missing valuesMissing
전통업소지정번호 has 3271 (100.0%) missing valuesMissing
전통업소주된음식 has 3271 (100.0%) missing valuesMissing
홈페이지 has 3271 (100.0%) missing valuesMissing
관리번호 has unique valuesUnique
인허가취소일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
휴업시작일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
휴업종료일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
재개업일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
전통업소지정번호 is an unsupported type, check if it needs cleaning or further analysisUnsupported
전통업소주된음식 is an unsupported type, check if it needs cleaning or further analysisUnsupported
홈페이지 is an unsupported type, check if it needs cleaning or further analysisUnsupported
소재지면적 has 165 (5.0%) zerosZeros
시설총규모 has 3008 (92.0%) zerosZeros

Reproduction

Analysis started2024-05-11 03:23:34.973714
Analysis finished2024-05-11 03:23:38.270299
Duration3.3 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size25.7 KiB
3210000
3271 

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 3271
100.0%

Length

2024-05-11T03:23:38.593055image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T03:23:39.041056image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3210000 3271
100.0%

관리번호
Text

UNIQUE 

Distinct3271
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size25.7 KiB
2024-05-11T03:23:39.523615image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length22
Median length22
Mean length22
Min length22

Characters and Unicode

Total characters71962
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

Unique3271 ?
Unique (%)100.0%

Sample

1st row3210000-112-0986-00870
2nd row3210000-112-0988-00652
3rd row3210000-112-0994-01879
4th row3210000-112-1981-00003
5th row3210000-112-1981-00004
ValueCountFrequency (%)
3210000-112-0986-00870 1
 
< 0.1%
3210000-112-2001-02219 1
 
< 0.1%
3210000-112-2001-02232 1
 
< 0.1%
3210000-112-2001-02210 1
 
< 0.1%
3210000-112-2001-02211 1
 
< 0.1%
3210000-112-2001-02212 1
 
< 0.1%
3210000-112-2001-02213 1
 
< 0.1%
3210000-112-2001-02214 1
 
< 0.1%
3210000-112-2001-02215 1
 
< 0.1%
3210000-112-2001-02216 1
 
< 0.1%
Other values (3261) 3261
99.7%
2024-05-11T03:23:40.559102image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 22998
32.0%
1 14700
20.4%
2 9891
13.7%
- 9813
13.6%
9 5018
 
7.0%
3 4523
 
6.3%
8 1143
 
1.6%
4 1026
 
1.4%
5 971
 
1.3%
6 947
 
1.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 62149
86.4%
Dash Punctuation 9813
 
13.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 22998
37.0%
1 14700
23.7%
2 9891
15.9%
9 5018
 
8.1%
3 4523
 
7.3%
8 1143
 
1.8%
4 1026
 
1.7%
5 971
 
1.6%
6 947
 
1.5%
7 932
 
1.5%
Dash Punctuation
ValueCountFrequency (%)
- 9813
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 71962
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 22998
32.0%
1 14700
20.4%
2 9891
13.7%
- 9813
13.6%
9 5018
 
7.0%
3 4523
 
6.3%
8 1143
 
1.6%
4 1026
 
1.4%
5 971
 
1.3%
6 947
 
1.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 71962
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 22998
32.0%
1 14700
20.4%
2 9891
13.7%
- 9813
13.6%
9 5018
 
7.0%
3 4523
 
6.3%
8 1143
 
1.6%
4 1026
 
1.4%
5 971
 
1.3%
6 947
 
1.3%

인허가일자
Date

Distinct1355
Distinct (%)41.4%
Missing0
Missing (%)0.0%
Memory size25.7 KiB
Minimum1981-09-29 00:00:00
Maximum2024-05-08 00:00:00
2024-05-11T03:23:40.996246image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T03:23:41.481153image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing3271
Missing (%)100.0%
Memory size28.9 KiB

영업상태코드
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size25.7 KiB
3
3038 
1
 
233

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
3 3038
92.9%
1 233
 
7.1%

Length

2024-05-11T03:23:41.863777image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T03:23:42.208896image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 3038
92.9%
1 233
 
7.1%

영업상태명
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size25.7 KiB
폐업
3038 
영업/정상
 
233

Length

Max length5
Median length2
Mean length2.2136961
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 3038
92.9%
영업/정상 233
 
7.1%

Length

2024-05-11T03:23:42.618667image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T03:23:42.933044image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 3038
92.9%
영업/정상 233
 
7.1%

상세영업상태코드
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size25.7 KiB
2
3038 
1
 
233

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
2 3038
92.9%
1 233
 
7.1%

Length

2024-05-11T03:23:43.237677image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T03:23:43.549758image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2 3038
92.9%
1 233
 
7.1%

상세영업상태명
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size25.7 KiB
폐업
3038 
영업
 
233

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 3038
92.9%
영업 233
 
7.1%

Length

2024-05-11T03:23:43.946575image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T03:23:44.303292image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 3038
92.9%
영업 233
 
7.1%

폐업일자
Date

MISSING 

Distinct1418
Distinct (%)46.7%
Missing233
Missing (%)7.1%
Memory size25.7 KiB
Minimum1984-12-19 00:00:00
Maximum2024-05-02 00:00:00
2024-05-11T03:23:44.684518image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T03:23:45.237546image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing3271
Missing (%)100.0%
Memory size28.9 KiB

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing3271
Missing (%)100.0%
Memory size28.9 KiB

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing3271
Missing (%)100.0%
Memory size28.9 KiB

전화번호
Text

MISSING 

Distinct1375
Distinct (%)49.2%
Missing478
Missing (%)14.6%
Memory size25.7 KiB
2024-05-11T03:23:46.038806image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length10
Mean length8.1331901
Min length2

Characters and Unicode

Total characters22716
Distinct characters13
Distinct categories4 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1227 ?
Unique (%)43.9%

Sample

1st row02
2nd row02
3rd row0222038154
4th row0205912467
5th row0200000000
ValueCountFrequency (%)
02 2062
48.3%
0200000000 293
 
6.9%
5293326 44
 
1.0%
028015 30
 
0.7%
502 30
 
0.7%
5111762 24
 
0.6%
5301194 22
 
0.5%
5902121 18
 
0.4%
0234981167 17
 
0.4%
0234154444 12
 
0.3%
Other values (1398) 1720
40.3%
2024-05-11T03:23:47.375954image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 6165
27.1%
2 4146
18.3%
5 2216
 
9.8%
3 1607
 
7.1%
1585
 
7.0%
1 1322
 
5.8%
4 1272
 
5.6%
8 1201
 
5.3%
7 1127
 
5.0%
9 1100
 
4.8%
Other values (3) 975
 
4.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 21129
93.0%
Space Separator 1585
 
7.0%
Close Punctuation 1
 
< 0.1%
Dash Punctuation 1
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 6165
29.2%
2 4146
19.6%
5 2216
 
10.5%
3 1607
 
7.6%
1 1322
 
6.3%
4 1272
 
6.0%
8 1201
 
5.7%
7 1127
 
5.3%
9 1100
 
5.2%
6 973
 
4.6%
Space Separator
ValueCountFrequency (%)
1585
100.0%
Close Punctuation
ValueCountFrequency (%)
] 1
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 22716
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 6165
27.1%
2 4146
18.3%
5 2216
 
9.8%
3 1607
 
7.1%
1585
 
7.0%
1 1322
 
5.8%
4 1272
 
5.6%
8 1201
 
5.3%
7 1127
 
5.0%
9 1100
 
4.8%
Other values (3) 975
 
4.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 22716
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 6165
27.1%
2 4146
18.3%
5 2216
 
9.8%
3 1607
 
7.1%
1585
 
7.0%
1 1322
 
5.8%
4 1272
 
5.6%
8 1201
 
5.3%
7 1127
 
5.0%
9 1100
 
4.8%
Other values (3) 975
 
4.3%

소재지면적
Real number (ℝ)

MISSING  ZEROS 

Distinct60
Distinct (%)12.5%
Missing2790
Missing (%)85.3%
Infinite0
Infinite (%)0.0%
Mean4.0709979
Minimum0
Maximum190
Zeros165
Zeros (%)5.0%
Negative0
Negative (%)0.0%
Memory size28.9 KiB
2024-05-11T03:23:48.010039image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median2.2
Q33.3
95-th percentile18
Maximum190
Range190
Interquartile range (IQR)3.3

Descriptive statistics

Standard deviation11.369355
Coefficient of variation (CV)2.7927685
Kurtosis153.8519
Mean4.0709979
Median Absolute Deviation (MAD)1.8
Skewness10.509127
Sum1958.15
Variance129.26223
MonotonicityNot monotonic
2024-05-11T03:23:48.562990image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 165
 
5.0%
3.3 108
 
3.3%
1.0 59
 
1.8%
3.0 25
 
0.8%
3.6 13
 
0.4%
6.0 11
 
0.3%
4.0 11
 
0.3%
6.6 10
 
0.3%
2.0 7
 
0.2%
5.0 5
 
0.2%
Other values (50) 67
 
2.0%
(Missing) 2790
85.3%
ValueCountFrequency (%)
0.0 165
5.0%
0.2 1
 
< 0.1%
0.3 1
 
< 0.1%
0.6 1
 
< 0.1%
0.8 1
 
< 0.1%
1.0 59
 
1.8%
1.5 2
 
0.1%
1.65 2
 
0.1%
1.7 1
 
< 0.1%
2.0 7
 
0.2%
ValueCountFrequency (%)
190.0 1
< 0.1%
74.2 1
< 0.1%
53.0 1
< 0.1%
49.25 1
< 0.1%
45.0 1
< 0.1%
44.35 1
< 0.1%
39.22 1
< 0.1%
39.0 1
< 0.1%
37.7 1
< 0.1%
35.0 1
< 0.1%

소재지우편번호
Text

Distinct195
Distinct (%)6.0%
Missing0
Missing (%)0.0%
Memory size25.7 KiB
2024-05-11T03:23:49.444302image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length6
Mean length6.0223173
Min length6

Characters and Unicode

Total characters19699
Distinct characters11
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique48 ?
Unique (%)1.5%

Sample

1st row137713
2nd row137070
3rd row137070
4th row137040
5th row137070
ValueCountFrequency (%)
137070 197
 
6.0%
137713 173
 
5.3%
137040 171
 
5.2%
137867 74
 
2.3%
137855 71
 
2.2%
137881 59
 
1.8%
137856 57
 
1.7%
137810 52
 
1.6%
137858 51
 
1.6%
137807 50
 
1.5%
Other values (185) 2316
70.8%
2024-05-11T03:23:50.870431image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
7 4272
21.7%
1 4002
20.3%
3 3958
20.1%
8 2770
14.1%
0 1750
8.9%
9 750
 
3.8%
5 603
 
3.1%
6 578
 
2.9%
4 528
 
2.7%
2 415
 
2.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 19626
99.6%
Dash Punctuation 73
 
0.4%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
7 4272
21.8%
1 4002
20.4%
3 3958
20.2%
8 2770
14.1%
0 1750
8.9%
9 750
 
3.8%
5 603
 
3.1%
6 578
 
2.9%
4 528
 
2.7%
2 415
 
2.1%
Dash Punctuation
ValueCountFrequency (%)
- 73
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 19699
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
7 4272
21.7%
1 4002
20.3%
3 3958
20.1%
8 2770
14.1%
0 1750
8.9%
9 750
 
3.8%
5 603
 
3.1%
6 578
 
2.9%
4 528
 
2.7%
2 415
 
2.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 19699
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
7 4272
21.7%
1 4002
20.3%
3 3958
20.1%
8 2770
14.1%
0 1750
8.9%
9 750
 
3.8%
5 603
 
3.1%
6 578
 
2.9%
4 528
 
2.7%
2 415
 
2.1%

지번주소
Text

Distinct2650
Distinct (%)81.0%
Missing0
Missing (%)0.0%
Memory size25.7 KiB
2024-05-11T03:23:52.055149image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length51
Median length45
Mean length24.952002
Min length17

Characters and Unicode

Total characters81618
Distinct characters423
Distinct categories11 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2388 ?
Unique (%)73.0%

Sample

1st row서울특별시 서초구 반포동 19-4
2nd row서울특별시 서초구 서초동 19-4 지하철약국
3rd row서울특별시 서초구 서초동 산 920-1 (2호선)
4th row서울특별시 서초구 반포동 274-72
5th row서울특별시 서초구 서초동 산 19-1 삼호수퍼
ValueCountFrequency (%)
서울특별시 3271
20.5%
서초구 3271
20.5%
서초동 1202
 
7.5%
반포동 672
 
4.2%
방배동 664
 
4.2%
1층 575
 
3.6%
양재동 343
 
2.1%
잠원동 259
 
1.6%
19-4 97
 
0.6%
19-3 84
 
0.5%
Other values (2945) 5550
34.7%
2024-05-11T03:23:54.088240image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
15848
19.4%
서 7843
 
9.6%
초 4522
 
5.5%
1 4442
 
5.4%
동 3433
 
4.2%
구 3326
 
4.1%
시 3304
 
4.0%
울 3300
 
4.0%
별 3274
 
4.0%
특 3272
 
4.0%
Other values (413) 29054
35.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 44999
55.1%
Decimal Number 16264
 
19.9%
Space Separator 15848
 
19.4%
Dash Punctuation 3117
 
3.8%
Open Punctuation 571
 
0.7%
Close Punctuation 571
 
0.7%
Uppercase Letter 138
 
0.2%
Other Punctuation 94
 
0.1%
Lowercase Letter 11
 
< 0.1%
Math Symbol 4
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
서 7843
17.4%
초 4522
10.0%
동 3433
 
7.6%
구 3326
 
7.4%
시 3304
 
7.3%
울 3300
 
7.3%
별 3274
 
7.3%
특 3272
 
7.3%
층 1264
 
2.8%
포 747
 
1.7%
Other values (359) 10714
23.8%
Uppercase Letter
ValueCountFrequency (%)
B 21
15.2%
S 14
10.1%
A 12
 
8.7%
L 12
 
8.7%
G 11
 
8.0%
D 9
 
6.5%
C 9
 
6.5%
H 8
 
5.8%
P 6
 
4.3%
J 6
 
4.3%
Other values (11) 30
21.7%
Decimal Number
ValueCountFrequency (%)
1 4442
27.3%
3 1767
 
10.9%
2 1651
 
10.2%
0 1638
 
10.1%
4 1387
 
8.5%
5 1349
 
8.3%
7 1251
 
7.7%
6 1030
 
6.3%
9 954
 
5.9%
8 795
 
4.9%
Other Punctuation
ValueCountFrequency (%)
, 83
88.3%
@ 3
 
3.2%
& 2
 
2.1%
/ 2
 
2.1%
. 2
 
2.1%
: 1
 
1.1%
' 1
 
1.1%
Lowercase Letter
ValueCountFrequency (%)
e 3
27.3%
n 2
18.2%
i 2
18.2%
u 1
 
9.1%
q 1
 
9.1%
z 1
 
9.1%
b 1
 
9.1%
Open Punctuation
ValueCountFrequency (%)
( 569
99.6%
[ 2
 
0.4%
Close Punctuation
ValueCountFrequency (%)
) 569
99.6%
] 2
 
0.4%
Math Symbol
ValueCountFrequency (%)
~ 3
75.0%
+ 1
 
25.0%
Space Separator
ValueCountFrequency (%)
15848
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 3117
100.0%
Modifier Symbol
ValueCountFrequency (%)
` 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 44999
55.1%
Common 36470
44.7%
Latin 149
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
서 7843
17.4%
초 4522
10.0%
동 3433
 
7.6%
구 3326
 
7.4%
시 3304
 
7.3%
울 3300
 
7.3%
별 3274
 
7.3%
특 3272
 
7.3%
층 1264
 
2.8%
포 747
 
1.7%
Other values (359) 10714
23.8%
Latin
ValueCountFrequency (%)
B 21
14.1%
S 14
 
9.4%
A 12
 
8.1%
L 12
 
8.1%
G 11
 
7.4%
D 9
 
6.0%
C 9
 
6.0%
H 8
 
5.4%
P 6
 
4.0%
J 6
 
4.0%
Other values (18) 41
27.5%
Common
ValueCountFrequency (%)
15848
43.5%
1 4442
 
12.2%
- 3117
 
8.5%
3 1767
 
4.8%
2 1651
 
4.5%
0 1638
 
4.5%
4 1387
 
3.8%
5 1349
 
3.7%
7 1251
 
3.4%
6 1030
 
2.8%
Other values (16) 2990
 
8.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 44999
55.1%
ASCII 36619
44.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
15848
43.3%
1 4442
 
12.1%
- 3117
 
8.5%
3 1767
 
4.8%
2 1651
 
4.5%
0 1638
 
4.5%
4 1387
 
3.8%
5 1349
 
3.7%
7 1251
 
3.4%
6 1030
 
2.8%
Other values (44) 3139
 
8.6%
Hangul
ValueCountFrequency (%)
서 7843
17.4%
초 4522
10.0%
동 3433
 
7.6%
구 3326
 
7.4%
시 3304
 
7.3%
울 3300
 
7.3%
별 3274
 
7.3%
특 3272
 
7.3%
층 1264
 
2.8%
포 747
 
1.7%
Other values (359) 10714
23.8%

도로명주소
Text

MISSING 

Distinct508
Distinct (%)93.4%
Missing2727
Missing (%)83.4%
Memory size25.7 KiB
2024-05-11T03:23:54.792715image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length57
Median length44
Mean length33.540441
Min length21

Characters and Unicode

Total characters18246
Distinct characters328
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

Unique489 ?
Unique (%)89.9%

Sample

1st row서울특별시 서초구 강남대로 27 (양재동,농수산물유통공사화훼단지)
2nd row서울특별시 서초구 강남대로 27 (양재동)
3rd row서울특별시 서초구 강남대로 27 (양재동)
4th row서울특별시 서초구 강남대로 27 (양재동)
5th row서울특별시 서초구 신반포로23길 41 (잠원동)
ValueCountFrequency (%)
서울특별시 544
 
15.5%
서초구 544
 
15.5%
1층 195
 
5.5%
서초동 155
 
4.4%
방배동 88
 
2.5%
반포동 66
 
1.9%
신반포로 58
 
1.6%
양재동 48
 
1.4%
남부순환로 46
 
1.3%
지하 42
 
1.2%
Other values (813) 1733
49.2%
2024-05-11T03:23:56.071809image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2977
 
16.3%
서 1423
 
7.8%
초 854
 
4.7%
1 738
 
4.0%
동 600
 
3.3%
) 596
 
3.3%
( 596
 
3.3%
구 561
 
3.1%
, 556
 
3.0%
시 549
 
3.0%
Other values (318) 8796
48.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 10872
59.6%
Space Separator 2977
 
16.3%
Decimal Number 2531
 
13.9%
Close Punctuation 596
 
3.3%
Open Punctuation 596
 
3.3%
Other Punctuation 559
 
3.1%
Dash Punctuation 57
 
0.3%
Uppercase Letter 50
 
0.3%
Lowercase Letter 7
 
< 0.1%
Math Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
서 1423
 
13.1%
초 854
 
7.9%
동 600
 
5.5%
구 561
 
5.2%
시 549
 
5.0%
울 549
 
5.0%
별 546
 
5.0%
특 544
 
5.0%
로 539
 
5.0%
층 371
 
3.4%
Other values (279) 4336
39.9%
Uppercase Letter
ValueCountFrequency (%)
B 15
30.0%
C 6
 
12.0%
A 5
 
10.0%
R 3
 
6.0%
G 3
 
6.0%
U 3
 
6.0%
S 3
 
6.0%
D 2
 
4.0%
H 2
 
4.0%
L 2
 
4.0%
Other values (6) 6
 
12.0%
Decimal Number
ValueCountFrequency (%)
1 738
29.2%
2 388
15.3%
3 256
 
10.1%
4 229
 
9.0%
0 228
 
9.0%
7 173
 
6.8%
5 142
 
5.6%
6 139
 
5.5%
9 126
 
5.0%
8 112
 
4.4%
Lowercase Letter
ValueCountFrequency (%)
e 2
28.6%
n 2
28.6%
u 1
14.3%
q 1
14.3%
i 1
14.3%
Other Punctuation
ValueCountFrequency (%)
, 556
99.5%
& 2
 
0.4%
' 1
 
0.2%
Space Separator
ValueCountFrequency (%)
2977
100.0%
Close Punctuation
ValueCountFrequency (%)
) 596
100.0%
Open Punctuation
ValueCountFrequency (%)
( 596
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 57
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 10872
59.6%
Common 7317
40.1%
Latin 57
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
서 1423
 
13.1%
초 854
 
7.9%
동 600
 
5.5%
구 561
 
5.2%
시 549
 
5.0%
울 549
 
5.0%
별 546
 
5.0%
특 544
 
5.0%
로 539
 
5.0%
층 371
 
3.4%
Other values (279) 4336
39.9%
Latin
ValueCountFrequency (%)
B 15
26.3%
C 6
 
10.5%
A 5
 
8.8%
R 3
 
5.3%
G 3
 
5.3%
U 3
 
5.3%
S 3
 
5.3%
D 2
 
3.5%
e 2
 
3.5%
n 2
 
3.5%
Other values (11) 13
22.8%
Common
ValueCountFrequency (%)
2977
40.7%
1 738
 
10.1%
) 596
 
8.1%
( 596
 
8.1%
, 556
 
7.6%
2 388
 
5.3%
3 256
 
3.5%
4 229
 
3.1%
0 228
 
3.1%
7 173
 
2.4%
Other values (8) 580
 
7.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 10872
59.6%
ASCII 7374
40.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2977
40.4%
1 738
 
10.0%
) 596
 
8.1%
( 596
 
8.1%
, 556
 
7.5%
2 388
 
5.3%
3 256
 
3.5%
4 229
 
3.1%
0 228
 
3.1%
7 173
 
2.3%
Other values (29) 637
 
8.6%
Hangul
ValueCountFrequency (%)
서 1423
 
13.1%
초 854
 
7.9%
동 600
 
5.5%
구 561
 
5.2%
시 549
 
5.0%
울 549
 
5.0%
별 546
 
5.0%
특 544
 
5.0%
로 539
 
5.0%
층 371
 
3.4%
Other values (279) 4336
39.9%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct199
Distinct (%)37.3%
Missing2737
Missing (%)83.7%
Infinite0
Infinite (%)0.0%
Mean6652.2528
Minimum6500
Maximum6805
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size28.9 KiB
2024-05-11T03:23:56.695978image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum6500
5-th percentile6517.3
Q16572.25
median6643
Q36742
95-th percentile6792
Maximum6805
Range305
Interquartile range (IQR)169.75

Descriptive statistics

Standard deviation91.214804
Coefficient of variation (CV)0.013711867
Kurtosis-1.346216
Mean6652.2528
Median Absolute Deviation (MAD)89
Skewness0.052796828
Sum3552303
Variance8320.1405
MonotonicityNot monotonic
2024-05-11T03:23:57.430084image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
6545 37
 
1.1%
6757 24
 
0.7%
6634 12
 
0.4%
6593 11
 
0.3%
6596 11
 
0.3%
6677 9
 
0.3%
6735 8
 
0.2%
6546 8
 
0.2%
6774 8
 
0.2%
6779 7
 
0.2%
Other values (189) 399
 
12.2%
(Missing) 2737
83.7%
ValueCountFrequency (%)
6500 1
 
< 0.1%
6501 3
0.1%
6502 7
0.2%
6503 3
0.1%
6504 1
 
< 0.1%
6509 3
0.1%
6510 3
0.1%
6511 1
 
< 0.1%
6512 2
 
0.1%
6514 1
 
< 0.1%
ValueCountFrequency (%)
6805 1
 
< 0.1%
6803 5
0.2%
6802 4
0.1%
6801 1
 
< 0.1%
6800 5
0.2%
6797 5
0.2%
6794 2
 
0.1%
6793 1
 
< 0.1%
6792 4
0.1%
6791 1
 
< 0.1%

사업장명
Text

Distinct2493
Distinct (%)76.2%
Missing0
Missing (%)0.0%
Memory size25.7 KiB
2024-05-11T03:23:58.217594image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length44
Median length22
Mean length6.2350963
Min length1

Characters and Unicode

Total characters20395
Distinct characters643
Distinct categories10 ?
Distinct scripts4 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2229 ?
Unique (%)68.1%

Sample

1st row.
2nd row지하철약국
3rd row교대지하철역(1~2)
4th row이항섭
5th row자동판매기(3)
ValueCountFrequency (%)
91
 
2.5%
씨유 41
 
1.1%
무 32
 
0.9%
gs25 25
 
0.7%
서울법원종합청사 24
 
0.6%
페리칸벤딩(주 20
 
0.5%
페리칸벤딩 20
 
0.5%
자판기 20
 
0.5%
주)휘닉스벤딩서비스 19
 
0.5%
cu 19
 
0.5%
Other values (2580) 3384
91.6%
2024-05-11T03:23:59.474839image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
) 595
 
2.9%
( 594
 
2.9%
기 444
 
2.2%
429
 
2.1%
동 405
 
2.0%
자 398
 
2.0%
서 357
 
1.8%
점 310
 
1.5%
주 309
 
1.5%
판 293
 
1.4%
Other values (633) 16261
79.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 17044
83.6%
Decimal Number 1158
 
5.7%
Close Punctuation 596
 
2.9%
Open Punctuation 594
 
2.9%
Space Separator 429
 
2.1%
Uppercase Letter 394
 
1.9%
Other Punctuation 116
 
0.6%
Lowercase Letter 49
 
0.2%
Dash Punctuation 9
 
< 0.1%
Math Symbol 6
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
기 444
 
2.6%
동 405
 
2.4%
자 398
 
2.3%
서 357
 
2.1%
점 310
 
1.8%
주 309
 
1.8%
판 293
 
1.7%
딩 278
 
1.6%
이 265
 
1.6%
스 257
 
1.5%
Other values (567) 13728
80.5%
Uppercase Letter
ValueCountFrequency (%)
C 72
18.3%
S 66
16.8%
G 45
11.4%
U 34
8.6%
P 22
 
5.6%
A 20
 
5.1%
L 16
 
4.1%
B 13
 
3.3%
E 13
 
3.3%
M 12
 
3.0%
Other values (14) 81
20.6%
Lowercase Letter
ValueCountFrequency (%)
e 6
12.2%
s 5
10.2%
o 4
 
8.2%
a 4
 
8.2%
i 4
 
8.2%
t 4
 
8.2%
u 3
 
6.1%
n 3
 
6.1%
m 3
 
6.1%
c 2
 
4.1%
Other values (9) 11
22.4%
Decimal Number
ValueCountFrequency (%)
1 281
24.3%
2 213
18.4%
3 105
 
9.1%
5 104
 
9.0%
7 98
 
8.5%
0 89
 
7.7%
6 77
 
6.6%
4 75
 
6.5%
9 70
 
6.0%
8 46
 
4.0%
Other Punctuation
ValueCountFrequency (%)
. 104
89.7%
& 6
 
5.2%
, 2
 
1.7%
/ 2
 
1.7%
: 1
 
0.9%
? 1
 
0.9%
Close Punctuation
ValueCountFrequency (%)
) 595
99.8%
] 1
 
0.2%
Math Symbol
ValueCountFrequency (%)
~ 5
83.3%
+ 1
 
16.7%
Open Punctuation
ValueCountFrequency (%)
( 594
100.0%
Space Separator
ValueCountFrequency (%)
429
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 9
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 17043
83.6%
Common 2908
 
14.3%
Latin 443
 
2.2%
Han 1
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
기 444
 
2.6%
동 405
 
2.4%
자 398
 
2.3%
서 357
 
2.1%
점 310
 
1.8%
주 309
 
1.8%
판 293
 
1.7%
딩 278
 
1.6%
이 265
 
1.6%
스 257
 
1.5%
Other values (566) 13727
80.5%
Latin
ValueCountFrequency (%)
C 72
16.3%
S 66
14.9%
G 45
 
10.2%
U 34
 
7.7%
P 22
 
5.0%
A 20
 
4.5%
L 16
 
3.6%
B 13
 
2.9%
E 13
 
2.9%
M 12
 
2.7%
Other values (33) 130
29.3%
Common
ValueCountFrequency (%)
) 595
20.5%
( 594
20.4%
429
14.8%
1 281
9.7%
2 213
 
7.3%
3 105
 
3.6%
5 104
 
3.6%
. 104
 
3.6%
7 98
 
3.4%
0 89
 
3.1%
Other values (13) 296
10.2%
Han
ValueCountFrequency (%)
王 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 17043
83.6%
ASCII 3351
 
16.4%
CJK 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
) 595
17.8%
( 594
17.7%
429
12.8%
1 281
 
8.4%
2 213
 
6.4%
3 105
 
3.1%
5 104
 
3.1%
. 104
 
3.1%
7 98
 
2.9%
0 89
 
2.7%
Other values (56) 739
22.1%
Hangul
ValueCountFrequency (%)
기 444
 
2.6%
동 405
 
2.4%
자 398
 
2.3%
서 357
 
2.1%
점 310
 
1.8%
주 309
 
1.8%
판 293
 
1.7%
딩 278
 
1.6%
이 265
 
1.6%
스 257
 
1.5%
Other values (566) 13727
80.5%
CJK
ValueCountFrequency (%)
王 1
100.0%

최종수정일자
Date

Distinct1350
Distinct (%)41.3%
Missing0
Missing (%)0.0%
Memory size25.7 KiB
Minimum1999-01-23 00:00:00
Maximum2024-05-08 13:55:19
2024-05-11T03:23:59.955602image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T03:24:00.591648image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

데이터갱신구분
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size25.7 KiB
I
3074 
U
 
197

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 3074
94.0%
U 197
 
6.0%

Length

2024-05-11T03:24:01.051565image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T03:24:01.401277image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 3074
94.0%
u 197
 
6.0%

데이터갱신일자
Date

Distinct227
Distinct (%)6.9%
Missing0
Missing (%)0.0%
Memory size25.7 KiB
Minimum2018-08-31 23:59:59
Maximum2023-12-05 00:04:00
2024-05-11T03:24:01.792278image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T03:24:02.362834image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업태구분명
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size25.7 KiB
식품자동판매기영업
3271 

Length

Max length9
Median length9
Mean length9
Min length9

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
식품자동판매기영업 3271
100.0%

Length

2024-05-11T03:24:02.899458image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T03:24:03.387381image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
식품자동판매기영업 3271
100.0%

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct1518
Distinct (%)53.4%
Missing426
Missing (%)13.0%
Infinite0
Infinite (%)0.0%
Mean201070.14
Minimum198319.07
Maximum207367.09
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size28.9 KiB
2024-05-11T03:24:03.789847image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum198319.07
5-th percentile198594
Q1199990.13
median201058.39
Q3202141.1
95-th percentile203811.37
Maximum207367.09
Range9048.0206
Interquartile range (IQR)2150.9689

Descriptive statistics

Standard deviation1588.2925
Coefficient of variation (CV)0.0078991966
Kurtosis0.092889703
Mean201070.14
Median Absolute Deviation (MAD)1078.9385
Skewness0.32893194
Sum5.7204453 × 108
Variance2522673.1
MonotonicityNot monotonic
2024-05-11T03:24:04.332059image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
200554.74395758 96
 
2.9%
200250.447804795 78
 
2.4%
201278.647889967 36
 
1.1%
201310.167766645 34
 
1.0%
200394.225955905 30
 
0.9%
200576.608647619 30
 
0.9%
200939.262819649 25
 
0.8%
201080.794884292 24
 
0.7%
203811.366422118 18
 
0.6%
200534.721814449 18
 
0.6%
Other values (1508) 2456
75.1%
(Missing) 426
 
13.0%
ValueCountFrequency (%)
198319.068941623 1
< 0.1%
198344.345262038 1
< 0.1%
198344.761390706 1
< 0.1%
198349.158592224 1
< 0.1%
198351.121730412 2
0.1%
198355.846023337 1
< 0.1%
198356.006840205 1
< 0.1%
198358.536839066 2
0.1%
198361.128212687 1
< 0.1%
198363.705516537 1
< 0.1%
ValueCountFrequency (%)
207367.089538074 8
0.2%
207159.884711985 1
 
< 0.1%
207067.171171962 2
 
0.1%
206222.68463863 1
 
< 0.1%
206203.268522037 1
 
< 0.1%
206131.241466 1
 
< 0.1%
205525.422778498 1
 
< 0.1%
205486.670570148 1
 
< 0.1%
205347.397614459 1
 
< 0.1%
205262.049192951 2
 
0.1%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct1518
Distinct (%)53.4%
Missing426
Missing (%)13.0%
Infinite0
Infinite (%)0.0%
Mean443149.4
Minimum437907.05
Maximum446449.1
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size28.9 KiB
2024-05-11T03:24:04.912825image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum437907.05
5-th percentile440676.38
Q1442291.93
median443168.32
Q3444278.8
95-th percentile445301.28
Maximum446449.1
Range8542.0473
Interquartile range (IQR)1986.8641

Descriptive statistics

Standard deviation1431.3078
Coefficient of variation (CV)0.0032298538
Kurtosis0.094921942
Mean443149.4
Median Absolute Deviation (MAD)980.01214
Skewness-0.33590076
Sum1.26076 × 109
Variance2048642
MonotonicityNot monotonic
2024-05-11T03:24:05.423539image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
444811.364826199 96
 
2.9%
444683.220506107 78
 
2.4%
442099.753091778 36
 
1.1%
442438.500304691 34
 
1.0%
444207.694481581 30
 
0.9%
445241.8984183 30
 
0.9%
443867.172593905 25
 
0.8%
443508.521611982 24
 
0.7%
440070.727589935 18
 
0.6%
444547.277887195 18
 
0.6%
Other values (1508) 2456
75.1%
(Missing) 426
 
13.0%
ValueCountFrequency (%)
437907.054302796 1
 
< 0.1%
437956.758392089 1
 
< 0.1%
437979.919148409 1
 
< 0.1%
438092.114640553 1
 
< 0.1%
438140.645891284 1
 
< 0.1%
438247.940519369 1
 
< 0.1%
438349.0 1
 
< 0.1%
438483.387454937 1
 
< 0.1%
438815.248341543 8
0.2%
438901.271073047 1
 
< 0.1%
ValueCountFrequency (%)
446449.101590721 1
 
< 0.1%
446318.215190813 3
0.1%
446312.955196265 3
0.1%
446312.298040264 1
 
< 0.1%
446296.946482674 1
 
< 0.1%
446268.294338007 2
0.1%
446247.719636035 1
 
< 0.1%
446218.385912802 1
 
< 0.1%
446206.354902748 3
0.1%
446205.939573861 1
 
< 0.1%

위생업태명
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size25.7 KiB
식품자동판매기영업
3149 
<NA>
 
122

Length

Max length9
Median length9
Mean length8.8135127
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
식품자동판매기영업 3149
96.3%
<NA> 122
 
3.7%

Length

2024-05-11T03:24:05.863549image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T03:24:06.340115image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
식품자동판매기영업 3149
96.3%
na 122
 
3.7%

남성종사자수
Categorical

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size25.7 KiB
<NA>
1725 
0
1546 

Length

Max length4
Median length4
Mean length2.582085
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 1725
52.7%
0 1546
47.3%

Length

2024-05-11T03:24:06.680307image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T03:24:06.989864image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 1725
52.7%
0 1546
47.3%

여성종사자수
Categorical

Distinct4
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size25.7 KiB
<NA>
1725 
0
1544 
3
 
1
1
 
1

Length

Max length4
Median length4
Mean length2.582085
Min length1

Unique

Unique2 ?
Unique (%)0.1%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 1725
52.7%
0 1544
47.2%
3 1
 
< 0.1%
1 1
 
< 0.1%

Length

2024-05-11T03:24:07.426496image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T03:24:07.783675image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 1725
52.7%
0 1544
47.2%
3 1
 
< 0.1%
1 1
 
< 0.1%

영업장주변구분명
Categorical

IMBALANCE 

Distinct7
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size25.7 KiB
기타
2018 
<NA>
1231 
학교정화(상대)
 
7
유흥업소밀집지역
 
6
아파트지역
 
6
Other values (2)
 
3

Length

Max length8
Median length2
Mean length2.7859982
Min length2

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

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

Common Values

ValueCountFrequency (%)
기타 2018
61.7%
<NA> 1231
37.6%
학교정화(상대) 7
 
0.2%
유흥업소밀집지역 6
 
0.2%
아파트지역 6
 
0.2%
결혼예식장주변 2
 
0.1%
주택가주변 1
 
< 0.1%

Length

2024-05-11T03:24:08.226283image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T03:24:08.704057image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
기타 2018
61.7%
na 1231
37.6%
학교정화(상대 7
 
0.2%
유흥업소밀집지역 6
 
0.2%
아파트지역 6
 
0.2%
결혼예식장주변 2
 
0.1%
주택가주변 1
 
< 0.1%

등급구분명
Categorical

Distinct4
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size25.7 KiB
기타
1985 
<NA>
1231 
지도
 
54
관리
 
1

Length

Max length4
Median length2
Mean length2.752675
Min length2

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

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

Common Values

ValueCountFrequency (%)
기타 1985
60.7%
<NA> 1231
37.6%
지도 54
 
1.7%
관리 1
 
< 0.1%

Length

2024-05-11T03:24:09.144692image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T03:24:09.528453image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
기타 1985
60.7%
na 1231
37.6%
지도 54
 
1.7%
관리 1
 
< 0.1%

급수시설구분명
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing3270
Missing (%)> 99.9%
Memory size25.7 KiB
2024-05-11T03:24:09.827876image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length5
Median length5
Mean length5
Min length5

Characters and Unicode

Total characters5
Distinct characters5
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)100.0%

Sample

1st row상수도전용
ValueCountFrequency (%)
상수도전용 1
100.0%
2024-05-11T03:24:10.512788image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
상 1
20.0%
수 1
20.0%
도 1
20.0%
전 1
20.0%
용 1
20.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 5
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
상 1
20.0%
수 1
20.0%
도 1
20.0%
전 1
20.0%
용 1
20.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 5
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
상 1
20.0%
수 1
20.0%
도 1
20.0%
전 1
20.0%
용 1
20.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 5
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
상 1
20.0%
수 1
20.0%
도 1
20.0%
전 1
20.0%
용 1
20.0%

총인원
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size25.7 KiB
<NA>
3245 
0
 
26

Length

Max length4
Median length4
Mean length3.9761541
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> 3245
99.2%
0 26
 
0.8%

Length

2024-05-11T03:24:10.879062image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T03:24:11.095399image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 3245
99.2%
0 26
 
0.8%

본사종업원수
Categorical

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size25.7 KiB
<NA>
2412 
0
859 

Length

Max length4
Median length4
Mean length3.2121675
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 2412
73.7%
0 859
 
26.3%

Length

2024-05-11T03:24:11.377357image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T03:24:11.634104image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 2412
73.7%
0 859
 
26.3%

공장사무직종업원수
Categorical

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size25.7 KiB
<NA>
2412 
0
859 

Length

Max length4
Median length4
Mean length3.2121675
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 2412
73.7%
0 859
 
26.3%

Length

2024-05-11T03:24:11.887417image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T03:24:12.104739image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 2412
73.7%
0 859
 
26.3%

공장판매직종업원수
Categorical

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size25.7 KiB
<NA>
2412 
0
859 

Length

Max length4
Median length4
Mean length3.2121675
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 2412
73.7%
0 859
 
26.3%

Length

2024-05-11T03:24:12.461083image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T03:24:12.771707image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 2412
73.7%
0 859
 
26.3%

공장생산직종업원수
Categorical

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size25.7 KiB
<NA>
2412 
0
859 

Length

Max length4
Median length4
Mean length3.2121675
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 2412
73.7%
0 859
 
26.3%

Length

2024-05-11T03:24:13.156735image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T03:24:13.497051image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 2412
73.7%
0 859
 
26.3%

건물소유구분명
Categorical

Distinct3
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size25.7 KiB
<NA>
2421 
자가
722 
임대
 
128

Length

Max length4
Median length4
Mean length3.4802813
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> 2421
74.0%
자가 722
 
22.1%
임대 128
 
3.9%

Length

2024-05-11T03:24:13.780882image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T03:24:14.035197image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 2421
74.0%
자가 722
 
22.1%
임대 128
 
3.9%

보증액
Categorical

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size25.7 KiB
<NA>
2690 
0
581 

Length

Max length4
Median length4
Mean length3.4671354
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> 2690
82.2%
0 581
 
17.8%

Length

2024-05-11T03:24:14.287382image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T03:24:14.594190image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 2690
82.2%
0 581
 
17.8%

월세액
Categorical

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size25.7 KiB
<NA>
2690 
0
581 

Length

Max length4
Median length4
Mean length3.4671354
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> 2690
82.2%
0 581
 
17.8%

Length

2024-05-11T03:24:14.970947image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T03:24:15.351718image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 2690
82.2%
0 581
 
17.8%

다중이용업소여부
Boolean

IMBALANCE  MISSING 

Distinct2
Distinct (%)0.1%
Missing122
Missing (%)3.7%
Memory size6.5 KiB
False
3140 
True
 
9
(Missing)
 
122
ValueCountFrequency (%)
False 3140
96.0%
True 9
 
0.3%
(Missing) 122
 
3.7%
2024-05-11T03:24:15.597514image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

시설총규모
Real number (ℝ)

MISSING  ZEROS 

Distinct30
Distinct (%)1.0%
Missing122
Missing (%)3.7%
Infinite0
Infinite (%)0.0%
Mean0.17423309
Minimum0
Maximum35
Zeros3008
Zeros (%)92.0%
Negative0
Negative (%)0.0%
Memory size28.9 KiB
2024-05-11T03:24:15.922416image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum35
Range35
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.3170478
Coefficient of variation (CV)7.559114
Kurtosis285.24296
Mean0.17423309
Median Absolute Deviation (MAD)0
Skewness14.882315
Sum548.66
Variance1.7346149
MonotonicityNot monotonic
2024-05-11T03:24:16.520059image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%)
0.0 3008
92.0%
3.3 50
 
1.5%
1.0 38
 
1.2%
3.0 10
 
0.3%
6.0 4
 
0.1%
2.4 4
 
0.1%
2.21 3
 
0.1%
5.0 3
 
0.1%
4.0 3
 
0.1%
2.0 3
 
0.1%
Other values (20) 23
 
0.7%
(Missing) 122
 
3.7%
ValueCountFrequency (%)
0.0 3008
92.0%
0.2 1
 
< 0.1%
0.3 1
 
< 0.1%
0.8 1
 
< 0.1%
1.0 38
 
1.2%
1.65 1
 
< 0.1%
1.7 1
 
< 0.1%
2.0 3
 
0.1%
2.2 1
 
< 0.1%
2.21 3
 
0.1%
ValueCountFrequency (%)
35.0 1
< 0.1%
24.0 1
< 0.1%
23.54 1
< 0.1%
21.8 1
< 0.1%
18.0 2
0.1%
16.5 1
< 0.1%
16.1 1
< 0.1%
15.0 1
< 0.1%
9.9 1
< 0.1%
7.0 1
< 0.1%

전통업소지정번호
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing3271
Missing (%)100.0%
Memory size28.9 KiB

전통업소주된음식
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing3271
Missing (%)100.0%
Memory size28.9 KiB

홈페이지
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing3271
Missing (%)100.0%
Memory size28.9 KiB

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)위생업태명남성종사자수여성종사자수영업장주변구분명등급구분명급수시설구분명총인원본사종업원수공장사무직종업원수공장판매직종업원수공장생산직종업원수건물소유구분명보증액월세액다중이용업소여부시설총규모전통업소지정번호전통업소주된음식홈페이지
032100003210000-112-0986-0087019990409<NA>3폐업2폐업19990614<NA><NA><NA>02<NA>137713서울특별시 서초구 반포동 19-4<NA><NA>.2001-09-29 00:00:00I2018-08-31 23:59:59.0식품자동판매기영업200554.743958444811.364826식품자동판매기영업00기타기타<NA><NA><NA><NA><NA><NA><NA><NA><NA>N0.0<NA><NA><NA>
132100003210000-112-0988-0065219990407<NA>3폐업2폐업20050119<NA><NA><NA>02<NA>137070서울특별시 서초구 서초동 19-4 지하철약국<NA><NA>지하철약국2005-01-19 00:00:00I2018-08-31 23:59:59.0식품자동판매기영업<NA><NA>식품자동판매기영업<NA><NA>기타기타<NA><NA>0000<NA><NA><NA>N0.0<NA><NA><NA>
232100003210000-112-0994-0187919990409<NA>3폐업2폐업20021231<NA><NA><NA>0222038154<NA>137070서울특별시 서초구 서초동 산 920-1 (2호선)<NA><NA>교대지하철역(1~2)2000-02-10 00:00:00I2018-08-31 23:59:59.0식품자동판매기영업<NA><NA>식품자동판매기영업00기타기타<NA><NA><NA><NA><NA><NA><NA><NA><NA>N0.0<NA><NA><NA>
332100003210000-112-1981-0000319810929<NA>3폐업2폐업19971021<NA><NA><NA>0205912467<NA>137040서울특별시 서초구 반포동 274-72<NA><NA>이항섭2001-09-29 00:00:00I2018-08-31 23:59:59.0식품자동판매기영업<NA><NA>식품자동판매기영업00기타기타<NA><NA><NA><NA><NA><NA><NA><NA><NA>N0.0<NA><NA><NA>
432100003210000-112-1981-0000419810930<NA>3폐업2폐업19990430<NA><NA><NA>0200000000<NA>137070서울특별시 서초구 서초동 산 19-1 삼호수퍼<NA><NA>자동판매기(3)1999-06-03 00:00:00I2018-08-31 23:59:59.0식품자동판매기영업<NA><NA>식품자동판매기영업00기타기타<NA><NA><NA><NA><NA><NA><NA><NA><NA>N0.0<NA><NA><NA>
532100003210000-112-1981-0000519811002<NA>3폐업2폐업20030730<NA><NA><NA>0205916612<NA>137888서울특별시 서초구 양재동 17-8<NA><NA>홍준식2001-09-29 00:00:00I2018-08-31 23:59:59.0식품자동판매기영업203383.661919442107.054579식품자동판매기영업00기타기타<NA><NA><NA><NA><NA><NA><NA><NA><NA>N0.0<NA><NA><NA>
632100003210000-112-1981-0000619811002<NA>3폐업2폐업20030730<NA><NA><NA>0200000000<NA>137806서울특별시 서초구 반포동 92-1 3호호<NA><NA>홍준식2001-09-29 00:00:00I2018-08-31 23:59:59.0식품자동판매기영업199798.194419444116.167594식품자동판매기영업00기타기타<NA><NA><NA><NA><NA><NA><NA><NA><NA>N0.0<NA><NA><NA>
732100003210000-112-1981-0000719811002<NA>3폐업2폐업19990430<NA><NA><NA>0200000000<NA>137030서울특별시 서초구 잠원동 0-0 매일상가 1층동 1 7호<NA><NA>최용묵2001-09-29 00:00:00I2018-08-31 23:59:59.0식품자동판매기영업<NA><NA>식품자동판매기영업00기타기타<NA><NA><NA><NA><NA><NA><NA><NA><NA>N0.0<NA><NA><NA>
832100003210000-112-1981-0000819811002<NA>3폐업2폐업20061227<NA><NA><NA>02 5914568<NA>137040서울특별시 서초구 반포동 0-0 경남쇼핑1층44호<NA><NA>자판기(8호)1999-01-26 00:00:00I2018-08-31 23:59:59.0식품자동판매기영업<NA><NA>식품자동판매기영업00학교정화(상대)기타<NA><NA><NA><NA><NA><NA><NA><NA><NA>N0.0<NA><NA><NA>
932100003210000-112-1981-0000919811002<NA>3폐업2폐업19961219<NA><NA><NA>0200000000<NA>137070서울특별시 서초구 서초동 58-3<NA><NA>민동식2001-09-29 00:00:00I2018-08-31 23:59:59.0식품자동판매기영업<NA><NA>식품자동판매기영업00기타기타<NA><NA><NA><NA><NA><NA><NA><NA><NA>N0.0<NA><NA><NA>
개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)위생업태명남성종사자수여성종사자수영업장주변구분명등급구분명급수시설구분명총인원본사종업원수공장사무직종업원수공장판매직종업원수공장생산직종업원수건물소유구분명보증액월세액다중이용업소여부시설총규모전통업소지정번호전통업소주된음식홈페이지
326132100003210000-112-2024-000042024-01-19<NA>1영업/정상1영업<NA><NA><NA><NA>022606128239.22137-811서울특별시 서초구 반포동 1141 엘루체 1층 1013호서울특별시 서초구 신반포로 23, 엘루체 1층 1013호 (반포동)6502블렌딩나인커피2024-01-19 15:45:17I2023-11-30 22:01:00.0식품자동판매기영업198791.788015444392.672549<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
326232100003210000-112-2024-000052024-01-24<NA>1영업/정상1영업<NA><NA><NA><NA>070457141553.0137-040서울특별시 서초구 반포동 650 1층 로비서울특별시 서초구 올림픽대로 2085-14, 1층 로비 (반포동)6500케이와이매니지먼트2024-01-24 10:07:14I2023-11-30 22:06:00.0식품자동판매기영업199348.735824445528.873604<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
326332100003210000-112-2024-000062024-01-30<NA>1영업/정상1영업<NA><NA><NA><NA><NA>9.0137-718서울특별시 서초구 서초동 700 예술의전당 지하1층 1101 어린이라운지서울특별시 서초구 남부순환로 2406, 예술의전당 지하1층 1101 어린이라운지 (서초동)6757진앤준 예술의전당점2024-01-30 15:12:18I2023-12-02 00:01:00.0식품자동판매기영업201278.64789442099.753092<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
326432100003210000-112-2024-000072024-02-28<NA>1영업/정상1영업<NA><NA><NA><NA><NA>1.5137-829서울특별시 서초구 방배동 777-1 1층서울특별시 서초구 방배중앙로 166-1, 1층 (방배동)6557GS25 방배카페본점2024-02-28 14:48:45I2023-12-03 00:01:00.0식품자동판매기영업198726.064606443529.497431<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
326532100003210000-112-2024-000082024-03-05<NA>1영업/정상1영업<NA><NA><NA><NA>02 529949026.7137-893서울특별시 서초구 양재동 202 1층서울특별시 서초구 바우뫼로12길 70, 1층 (양재동)6769카페 만월경 갤럭시아골프클럽2024-03-05 10:24:32I2023-12-03 00:07:00.0식품자동판매기영업202833.261654440511.561175<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
326632100003210000-112-2024-000092024-03-08<NA>1영업/정상1영업<NA><NA><NA><NA>050654588043.3137-713서울특별시 서초구 반포동 19-3 하차장 지하1층 금호고속 정비소서울특별시 서초구 신반포로 176, 하차장 지하1층 금호고속 정비소 (반포동)6546금호고속노동조합2024-03-08 11:31:40I2023-12-02 23:00:00.0식품자동판매기영업200250.447805444683.220506<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
326732100003210000-112-2024-000102024-03-19<NA>1영업/정상1영업<NA><NA><NA><NA><NA>19.94137-180서울특별시 서초구 내곡동 337-1 1층서울특별시 서초구 헌릉로 177, 1층 (내곡동)6794MUKA2024-03-19 11:16:59I2023-12-02 22:01:00.0식품자동판매기영업205262.049193439469.176636<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
326832100003210000-112-2024-000112024-04-05<NA>1영업/정상1영업<NA><NA><NA><NA><NA>33.0137-803서울특별시 서초구 반포동 54-12 항교빌딩 지하1층서울특별시 서초구 고무래로8길 13, 항교빌딩 지하1층 (반포동)659324시무인카페 만월경 서초반포점2024-04-05 13:15:35I2023-12-04 00:07:00.0식품자동판매기영업200825.9909444401.558972<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
326932100003210000-112-2024-000122024-04-22<NA>1영업/정상1영업<NA><NA><NA><NA><NA>6.6137-814서울특별시 서초구 방배동 33-8 1층서울특별시 서초구 방배로42길 39, 1층 (방배동)6584컬렉터의 집2024-04-22 15:18:14I2023-12-03 22:04:00.0식품자동판매기영업199093.636525443575.236167<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
327032100003210000-112-2024-000132024-05-08<NA>1영업/정상1영업<NA><NA><NA><NA><NA>6.6137-070서울특별시 서초구 서초동 700 N스튜디오서울특별시 서초구 남부순환로 2406, N스튜디오 (서초동)6757국립예술단체연합회2024-05-08 13:55:19I2023-12-04 23:00:00.0식품자동판매기영업201278.64789442099.753092<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>