Overview

Dataset statistics

Number of variables44
Number of observations2173
Missing cells19653
Missing cells (%)20.6%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory798.0 KiB
Average record size in memory376.1 B

Variable types

Categorical22
Text6
DateTime4
Unsupported6
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
Author은평구
URLhttps://data.seoul.go.kr/dataList/OA-18238/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
업태구분명 has constant value ""Constant
다중이용업소여부 has constant value ""Constant
데이터갱신구분 is highly imbalanced (59.6%)Imbalance
위생업태명 is highly imbalanced (70.3%)Imbalance
급수시설구분명 is highly imbalanced (74.7%)Imbalance
총인원 is highly imbalanced (91.2%)Imbalance
홈페이지 is highly imbalanced (99.4%)Imbalance
인허가취소일자 has 2173 (100.0%) missing valuesMissing
폐업일자 has 242 (11.1%) missing valuesMissing
휴업시작일자 has 2173 (100.0%) missing valuesMissing
휴업종료일자 has 2173 (100.0%) missing valuesMissing
재개업일자 has 2173 (100.0%) missing valuesMissing
전화번호 has 420 (19.3%) missing valuesMissing
소재지면적 has 1856 (85.4%) missing valuesMissing
도로명주소 has 1668 (76.8%) missing valuesMissing
도로명우편번호 has 1677 (77.2%) missing valuesMissing
좌표정보(X) has 260 (12.0%) missing valuesMissing
좌표정보(Y) has 260 (12.0%) missing valuesMissing
다중이용업소여부 has 114 (5.2%) missing valuesMissing
시설총규모 has 114 (5.2%) missing valuesMissing
전통업소지정번호 has 2173 (100.0%) missing valuesMissing
전통업소주된음식 has 2173 (100.0%) missing valuesMissing
시설총규모 is highly skewed (γ1 = 41.57403995)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 111 (5.1%) zerosZeros
시설총규모 has 2052 (94.4%) zerosZeros

Reproduction

Analysis started2024-05-11 05:58:51.369052
Analysis finished2024-05-11 05:58:54.317599
Duration2.95 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size17.1 KiB
3110000
2173 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3110000
2nd row3110000
3rd row3110000
4th row3110000
5th row3110000

Common Values

ValueCountFrequency (%)
3110000 2173
100.0%

Length

2024-05-11T05:58:54.519849image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T05:58:54.848277image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3110000 2173
100.0%

관리번호
Text

UNIQUE 

Distinct2173
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size17.1 KiB
2024-05-11T05:58:55.328951image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length22
Median length22
Mean length22
Min length22

Characters and Unicode

Total characters47806
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

Unique2173 ?
Unique (%)100.0%

Sample

1st row3110000-112-1939-00117
2nd row3110000-112-1981-00458
3rd row3110000-112-1982-00847
4th row3110000-112-1983-00439
5th row3110000-112-1983-00440
ValueCountFrequency (%)
3110000-112-1939-00117 1
 
< 0.1%
3110000-112-2003-00127 1
 
< 0.1%
3110000-112-2003-00124 1
 
< 0.1%
3110000-112-2003-00123 1
 
< 0.1%
3110000-112-2003-00122 1
 
< 0.1%
3110000-112-2003-00121 1
 
< 0.1%
3110000-112-2003-00120 1
 
< 0.1%
3110000-112-2003-00119 1
 
< 0.1%
3110000-112-2003-00118 1
 
< 0.1%
3110000-112-2003-00117 1
 
< 0.1%
Other values (2163) 2163
99.5%
2024-05-11T05:58:56.290883image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 16631
34.8%
1 11370
23.8%
- 6519
 
13.6%
2 4591
 
9.6%
3 3081
 
6.4%
9 2638
 
5.5%
4 625
 
1.3%
8 606
 
1.3%
7 589
 
1.2%
5 578
 
1.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 41287
86.4%
Dash Punctuation 6519
 
13.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 16631
40.3%
1 11370
27.5%
2 4591
 
11.1%
3 3081
 
7.5%
9 2638
 
6.4%
4 625
 
1.5%
8 606
 
1.5%
7 589
 
1.4%
5 578
 
1.4%
6 578
 
1.4%
Dash Punctuation
ValueCountFrequency (%)
- 6519
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 47806
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 16631
34.8%
1 11370
23.8%
- 6519
 
13.6%
2 4591
 
9.6%
3 3081
 
6.4%
9 2638
 
5.5%
4 625
 
1.3%
8 606
 
1.3%
7 589
 
1.2%
5 578
 
1.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 47806
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 16631
34.8%
1 11370
23.8%
- 6519
 
13.6%
2 4591
 
9.6%
3 3081
 
6.4%
9 2638
 
5.5%
4 625
 
1.3%
8 606
 
1.3%
7 589
 
1.2%
5 578
 
1.2%

인허가일자
Date

Distinct1095
Distinct (%)50.4%
Missing0
Missing (%)0.0%
Memory size17.1 KiB
Minimum1939-03-27 00:00:00
Maximum2024-05-08 00:00:00
2024-05-11T05:58:56.928211image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T05:58:57.653054image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2173
Missing (%)100.0%
Memory size19.2 KiB

영업상태코드
Categorical

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size17.1 KiB
3
1931 
1
242 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
3 1931
88.9%
1 242
 
11.1%

Length

2024-05-11T05:58:58.120878image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T05:58:58.490040image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 1931
88.9%
1 242
 
11.1%

영업상태명
Categorical

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size17.1 KiB
폐업
1931 
영업/정상
242 

Length

Max length5
Median length2
Mean length2.3341003
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 1931
88.9%
영업/정상 242
 
11.1%

Length

2024-05-11T05:58:58.890898image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T05:58:59.464381image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 1931
88.9%
영업/정상 242
 
11.1%

상세영업상태코드
Categorical

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size17.1 KiB
2
1931 
1
242 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
2 1931
88.9%
1 242
 
11.1%

Length

2024-05-11T05:58:59.864497image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T05:59:00.233524image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2 1931
88.9%
1 242
 
11.1%

상세영업상태명
Categorical

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size17.1 KiB
폐업
1931 
영업
242 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 1931
88.9%
영업 242
 
11.1%

Length

2024-05-11T05:59:00.811869image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T05:59:01.188444image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 1931
88.9%
영업 242
 
11.1%

폐업일자
Date

MISSING 

Distinct1316
Distinct (%)68.2%
Missing242
Missing (%)11.1%
Memory size17.1 KiB
Minimum1989-11-20 00:00:00
Maximum2024-05-08 00:00:00
2024-05-11T05:59:01.656765image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T05:59:02.258292image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2173
Missing (%)100.0%
Memory size19.2 KiB

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2173
Missing (%)100.0%
Memory size19.2 KiB

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2173
Missing (%)100.0%
Memory size19.2 KiB

전화번호
Text

MISSING 

Distinct1297
Distinct (%)74.0%
Missing420
Missing (%)19.3%
Memory size17.1 KiB
2024-05-11T05:59:03.074989image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length10
Mean length9.3262978
Min length2

Characters and Unicode

Total characters16349
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

Unique1255 ?
Unique (%)71.6%

Sample

1st row0204160416
2nd row02
3rd row0204160416
4th row02 3872511
5th row02 3580224
ValueCountFrequency (%)
02 1381
45.3%
0204160416 247
 
8.1%
3860121 9
 
0.3%
388 6
 
0.2%
355 5
 
0.2%
070 5
 
0.2%
353 4
 
0.1%
3575446 3
 
0.1%
3832501 3
 
0.1%
356 3
 
0.1%
Other values (1327) 1382
45.3%
2024-05-11T05:59:04.550088image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 3161
19.3%
2 2450
15.0%
3 2055
12.6%
1359
8.3%
5 1219
 
7.5%
6 1214
 
7.4%
4 1201
 
7.3%
1 1178
 
7.2%
8 1118
 
6.8%
7 739
 
4.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 14990
91.7%
Space Separator 1359
 
8.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 3161
21.1%
2 2450
16.3%
3 2055
13.7%
5 1219
 
8.1%
6 1214
 
8.1%
4 1201
 
8.0%
1 1178
 
7.9%
8 1118
 
7.5%
7 739
 
4.9%
9 655
 
4.4%
Space Separator
ValueCountFrequency (%)
1359
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 16349
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 3161
19.3%
2 2450
15.0%
3 2055
12.6%
1359
8.3%
5 1219
 
7.5%
6 1214
 
7.4%
4 1201
 
7.3%
1 1178
 
7.2%
8 1118
 
6.8%
7 739
 
4.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 16349
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 3161
19.3%
2 2450
15.0%
3 2055
12.6%
1359
8.3%
5 1219
 
7.5%
6 1214
 
7.4%
4 1201
 
7.3%
1 1178
 
7.2%
8 1118
 
6.8%
7 739
 
4.5%

소재지면적
Real number (ℝ)

MISSING  ZEROS 

Distinct54
Distinct (%)17.0%
Missing1856
Missing (%)85.4%
Infinite0
Infinite (%)0.0%
Mean5.5459306
Minimum0
Maximum62.7
Zeros111
Zeros (%)5.1%
Negative0
Negative (%)0.0%
Memory size19.2 KiB
2024-05-11T05:59:05.167964image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median3.3
Q33.3
95-th percentile32.024
Maximum62.7
Range62.7
Interquartile range (IQR)3.3

Descriptive statistics

Standard deviation10.297227
Coefficient of variation (CV)1.8567176
Kurtosis7.5496257
Mean5.5459306
Median Absolute Deviation (MAD)2.3
Skewness2.7731003
Sum1758.06
Variance106.03288
MonotonicityNot monotonic
2024-05-11T05:59:05.676371image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
3.3 120
 
5.5%
0.0 111
 
5.1%
3.0 12
 
0.6%
1.0 9
 
0.4%
1.5 3
 
0.1%
5.0 3
 
0.1%
10.0 3
 
0.1%
2.4 3
 
0.1%
2.0 2
 
0.1%
5.05 2
 
0.1%
Other values (44) 49
 
2.3%
(Missing) 1856
85.4%
ValueCountFrequency (%)
0.0 111
5.1%
0.42 1
 
< 0.1%
1.0 9
 
0.4%
1.5 3
 
0.1%
2.0 2
 
0.1%
2.21 1
 
< 0.1%
2.4 3
 
0.1%
3.0 12
 
0.6%
3.3 120
5.5%
3.5 1
 
< 0.1%
ValueCountFrequency (%)
62.7 1
< 0.1%
55.0 1
< 0.1%
45.0 1
< 0.1%
43.62 1
< 0.1%
42.9 1
< 0.1%
41.0 1
< 0.1%
38.0 1
< 0.1%
36.3 1
< 0.1%
36.01 1
< 0.1%
35.64 2
0.1%

소재지우편번호
Text

Distinct197
Distinct (%)9.1%
Missing2
Missing (%)0.1%
Memory size17.1 KiB
2024-05-11T05:59:06.576966image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length6
Mean length6.03731
Min length6

Characters and Unicode

Total characters13107
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

Unique54 ?
Unique (%)2.5%

Sample

1st row122832
2nd row122924
3rd row122924
4th row122907
5th row122859
ValueCountFrequency (%)
122200 158
 
7.3%
122837 76
 
3.5%
122895 47
 
2.2%
122906 46
 
2.1%
122923 44
 
2.0%
122809 44
 
2.0%
122900 42
 
1.9%
122882 41
 
1.9%
122842 40
 
1.8%
122924 39
 
1.8%
Other values (187) 1594
73.4%
2024-05-11T05:59:08.508543image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 4998
38.1%
1 2624
20.0%
8 1564
 
11.9%
9 1086
 
8.3%
0 1017
 
7.8%
3 496
 
3.8%
5 356
 
2.7%
7 344
 
2.6%
4 328
 
2.5%
6 213
 
1.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 13026
99.4%
Dash Punctuation 81
 
0.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 4998
38.4%
1 2624
20.1%
8 1564
 
12.0%
9 1086
 
8.3%
0 1017
 
7.8%
3 496
 
3.8%
5 356
 
2.7%
7 344
 
2.6%
4 328
 
2.5%
6 213
 
1.6%
Dash Punctuation
ValueCountFrequency (%)
- 81
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 13107
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
2 4998
38.1%
1 2624
20.0%
8 1564
 
11.9%
9 1086
 
8.3%
0 1017
 
7.8%
3 496
 
3.8%
5 356
 
2.7%
7 344
 
2.6%
4 328
 
2.5%
6 213
 
1.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 13107
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 4998
38.1%
1 2624
20.0%
8 1564
 
11.9%
9 1086
 
8.3%
0 1017
 
7.8%
3 496
 
3.8%
5 356
 
2.7%
7 344
 
2.6%
4 328
 
2.5%
6 213
 
1.6%

지번주소
Text

Distinct2020
Distinct (%)93.0%
Missing2
Missing (%)0.1%
Memory size17.1 KiB
2024-05-11T05:59:09.785717image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length50
Median length43
Mean length23.553201
Min length16

Characters and Unicode

Total characters51134
Distinct characters399
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

Unique1898 ?
Unique (%)87.4%

Sample

1st row서울특별시 은평구 녹번동 134-15 미미분식 1층동
2nd row서울특별시 은평구 응암동 601-6
3rd row서울특별시 은평구 응암동 595-2 응암칼국수 1층동
4th row서울특별시 은평구 응암동 88-10 제일은행 1층동
5th row서울특별시 은평구 불광동 308-1
ValueCountFrequency (%)
은평구 2172
21.2%
서울특별시 2171
21.2%
응암동 438
 
4.3%
1층 336
 
3.3%
갈현동 258
 
2.5%
불광동 242
 
2.4%
1층동 238
 
2.3%
역촌동 216
 
2.1%
녹번동 195
 
1.9%
대조동 194
 
1.9%
Other values (2214) 3763
36.8%
2024-05-11T05:59:11.503812image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
10090
19.7%
1 2574
 
5.0%
동 2517
 
4.9%
구 2306
 
4.5%
은 2234
 
4.4%
평 2215
 
4.3%
서 2197
 
4.3%
시 2186
 
4.3%
울 2179
 
4.3%
별 2171
 
4.2%
Other values (389) 20465
40.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 28244
55.2%
Space Separator 10090
 
19.7%
Decimal Number 10012
 
19.6%
Dash Punctuation 2067
 
4.0%
Close Punctuation 312
 
0.6%
Open Punctuation 312
 
0.6%
Uppercase Letter 49
 
0.1%
Other Punctuation 40
 
0.1%
Lowercase Letter 5
 
< 0.1%
Math Symbol 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 2517
 
8.9%
구 2306
 
8.2%
은 2234
 
7.9%
평 2215
 
7.8%
서 2197
 
7.8%
시 2186
 
7.7%
울 2179
 
7.7%
별 2171
 
7.7%
특 2171
 
7.7%
층 826
 
2.9%
Other values (350) 7242
25.6%
Uppercase Letter
ValueCountFrequency (%)
B 13
26.5%
A 7
14.3%
C 5
 
10.2%
D 4
 
8.2%
M 3
 
6.1%
G 3
 
6.1%
I 3
 
6.1%
T 2
 
4.1%
Y 2
 
4.1%
S 2
 
4.1%
Other values (4) 5
 
10.2%
Decimal Number
ValueCountFrequency (%)
1 2574
25.7%
2 1341
13.4%
3 1116
11.1%
4 892
 
8.9%
5 823
 
8.2%
0 687
 
6.9%
6 686
 
6.9%
8 679
 
6.8%
9 631
 
6.3%
7 583
 
5.8%
Other Punctuation
ValueCountFrequency (%)
, 28
70.0%
. 6
 
15.0%
: 3
 
7.5%
/ 2
 
5.0%
@ 1
 
2.5%
Lowercase Letter
ValueCountFrequency (%)
e 2
40.0%
c 1
20.0%
p 1
20.0%
s 1
20.0%
Space Separator
ValueCountFrequency (%)
10090
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2067
100.0%
Close Punctuation
ValueCountFrequency (%)
) 312
100.0%
Open Punctuation
ValueCountFrequency (%)
( 312
100.0%
Math Symbol
ValueCountFrequency (%)
~ 2
100.0%
Modifier Symbol
ValueCountFrequency (%)
` 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 28244
55.2%
Common 22836
44.7%
Latin 54
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 2517
 
8.9%
구 2306
 
8.2%
은 2234
 
7.9%
평 2215
 
7.8%
서 2197
 
7.8%
시 2186
 
7.7%
울 2179
 
7.7%
별 2171
 
7.7%
특 2171
 
7.7%
층 826
 
2.9%
Other values (350) 7242
25.6%
Common
ValueCountFrequency (%)
10090
44.2%
1 2574
 
11.3%
- 2067
 
9.1%
2 1341
 
5.9%
3 1116
 
4.9%
4 892
 
3.9%
5 823
 
3.6%
0 687
 
3.0%
6 686
 
3.0%
8 679
 
3.0%
Other values (11) 1881
 
8.2%
Latin
ValueCountFrequency (%)
B 13
24.1%
A 7
13.0%
C 5
 
9.3%
D 4
 
7.4%
M 3
 
5.6%
G 3
 
5.6%
I 3
 
5.6%
T 2
 
3.7%
Y 2
 
3.7%
S 2
 
3.7%
Other values (8) 10
18.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 28244
55.2%
ASCII 22890
44.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
10090
44.1%
1 2574
 
11.2%
- 2067
 
9.0%
2 1341
 
5.9%
3 1116
 
4.9%
4 892
 
3.9%
5 823
 
3.6%
0 687
 
3.0%
6 686
 
3.0%
8 679
 
3.0%
Other values (29) 1935
 
8.5%
Hangul
ValueCountFrequency (%)
동 2517
 
8.9%
구 2306
 
8.2%
은 2234
 
7.9%
평 2215
 
7.8%
서 2197
 
7.8%
시 2186
 
7.7%
울 2179
 
7.7%
별 2171
 
7.7%
특 2171
 
7.7%
층 826
 
2.9%
Other values (350) 7242
25.6%

도로명주소
Text

MISSING 

Distinct485
Distinct (%)96.0%
Missing1668
Missing (%)76.8%
Memory size17.1 KiB
2024-05-11T05:59:12.417912image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length58
Median length50
Mean length31.144554
Min length21

Characters and Unicode

Total characters15728
Distinct characters260
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

Unique467 ?
Unique (%)92.5%

Sample

1st row서울특별시 은평구 통일로 842 (불광동)
2nd row서울특별시 은평구 은평로 195, 본관3층 (녹번동)
3rd row서울특별시 은평구 은평로 195 (녹번동,구의회)
4th row서울특별시 은평구 서오릉로 216, 1층동 (갈현동,종점슈퍼)
5th row서울특별시 은평구 통일로 757, 1층동 (대조동,대양문구사)
ValueCountFrequency (%)
은평구 506
 
16.2%
서울특별시 505
 
16.2%
1층 168
 
5.4%
응암동 80
 
2.6%
통일로 57
 
1.8%
진관동 52
 
1.7%
갈현동 49
 
1.6%
녹번동 48
 
1.5%
지하 45
 
1.4%
역촌동 42
 
1.3%
Other values (670) 1568
50.3%
2024-05-11T05:59:14.424508image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2615
 
16.6%
1 757
 
4.8%
서 623
 
4.0%
은 594
 
3.8%
평 594
 
3.8%
( 562
 
3.6%
) 562
 
3.6%
구 550
 
3.5%
동 542
 
3.4%
시 513
 
3.3%
Other values (250) 7816
49.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 9083
57.8%
Space Separator 2615
 
16.6%
Decimal Number 2333
 
14.8%
Open Punctuation 562
 
3.6%
Close Punctuation 562
 
3.6%
Other Punctuation 451
 
2.9%
Dash Punctuation 87
 
0.6%
Uppercase Letter 32
 
0.2%
Lowercase Letter 2
 
< 0.1%
Math Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
서 623
 
6.9%
은 594
 
6.5%
평 594
 
6.5%
구 550
 
6.1%
동 542
 
6.0%
시 513
 
5.6%
울 510
 
5.6%
별 505
 
5.6%
특 505
 
5.6%
로 495
 
5.4%
Other values (218) 3652
40.2%
Uppercase Letter
ValueCountFrequency (%)
B 12
37.5%
A 4
 
12.5%
C 3
 
9.4%
M 2
 
6.2%
S 2
 
6.2%
D 2
 
6.2%
T 2
 
6.2%
I 1
 
3.1%
N 1
 
3.1%
Y 1
 
3.1%
Other values (2) 2
 
6.2%
Decimal Number
ValueCountFrequency (%)
1 757
32.4%
2 320
13.7%
0 218
 
9.3%
3 209
 
9.0%
4 157
 
6.7%
6 156
 
6.7%
7 145
 
6.2%
5 139
 
6.0%
8 118
 
5.1%
9 114
 
4.9%
Other Punctuation
ValueCountFrequency (%)
, 446
98.9%
. 3
 
0.7%
: 1
 
0.2%
/ 1
 
0.2%
Space Separator
ValueCountFrequency (%)
2615
100.0%
Open Punctuation
ValueCountFrequency (%)
( 562
100.0%
Close Punctuation
ValueCountFrequency (%)
) 562
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 87
100.0%
Lowercase Letter
ValueCountFrequency (%)
e 2
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 9083
57.8%
Common 6611
42.0%
Latin 34
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
서 623
 
6.9%
은 594
 
6.5%
평 594
 
6.5%
구 550
 
6.1%
동 542
 
6.0%
시 513
 
5.6%
울 510
 
5.6%
별 505
 
5.6%
특 505
 
5.6%
로 495
 
5.4%
Other values (218) 3652
40.2%
Common
ValueCountFrequency (%)
2615
39.6%
1 757
 
11.5%
( 562
 
8.5%
) 562
 
8.5%
, 446
 
6.7%
2 320
 
4.8%
0 218
 
3.3%
3 209
 
3.2%
4 157
 
2.4%
6 156
 
2.4%
Other values (9) 609
 
9.2%
Latin
ValueCountFrequency (%)
B 12
35.3%
A 4
 
11.8%
C 3
 
8.8%
M 2
 
5.9%
S 2
 
5.9%
D 2
 
5.9%
T 2
 
5.9%
e 2
 
5.9%
I 1
 
2.9%
N 1
 
2.9%
Other values (3) 3
 
8.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 9083
57.8%
ASCII 6645
42.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2615
39.4%
1 757
 
11.4%
( 562
 
8.5%
) 562
 
8.5%
, 446
 
6.7%
2 320
 
4.8%
0 218
 
3.3%
3 209
 
3.1%
4 157
 
2.4%
6 156
 
2.3%
Other values (22) 643
 
9.7%
Hangul
ValueCountFrequency (%)
서 623
 
6.9%
은 594
 
6.5%
평 594
 
6.5%
구 550
 
6.1%
동 542
 
6.0%
시 513
 
5.6%
울 510
 
5.6%
별 505
 
5.6%
특 505
 
5.6%
로 495
 
5.4%
Other values (218) 3652
40.2%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct166
Distinct (%)33.5%
Missing1677
Missing (%)77.2%
Infinite0
Infinite (%)0.0%
Mean3400.2399
Minimum3300
Maximum3506
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size19.2 KiB
2024-05-11T05:59:15.146439image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3300
5-th percentile3306
Q13346
median3397
Q33454.25
95-th percentile3499
Maximum3506
Range206
Interquartile range (IQR)108.25

Descriptive statistics

Standard deviation60.745378
Coefficient of variation (CV)0.017865027
Kurtosis-1.1599608
Mean3400.2399
Median Absolute Deviation (MAD)54
Skewness-0.0072598979
Sum1686519
Variance3690.0009
MonotonicityNot monotonic
2024-05-11T05:59:15.793385image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
3306 23
 
1.1%
3330 18
 
0.8%
3397 16
 
0.7%
3499 10
 
0.5%
3384 9
 
0.4%
3504 9
 
0.4%
3378 8
 
0.4%
3385 8
 
0.4%
3421 8
 
0.4%
3476 7
 
0.3%
Other values (156) 380
 
17.5%
(Missing) 1677
77.2%
ValueCountFrequency (%)
3300 1
 
< 0.1%
3301 2
 
0.1%
3302 6
 
0.3%
3303 1
 
< 0.1%
3304 4
 
0.2%
3305 1
 
< 0.1%
3306 23
1.1%
3307 1
 
< 0.1%
3308 6
 
0.3%
3309 2
 
0.1%
ValueCountFrequency (%)
3506 2
 
0.1%
3505 3
 
0.1%
3504 9
0.4%
3502 2
 
0.1%
3500 3
 
0.1%
3499 10
0.5%
3498 1
 
< 0.1%
3497 2
 
0.1%
3489 1
 
< 0.1%
3488 2
 
0.1%

사업장명
Text

Distinct1636
Distinct (%)75.3%
Missing0
Missing (%)0.0%
Memory size17.1 KiB
2024-05-11T05:59:17.055730image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length25
Median length24
Mean length6.0257708
Min length1

Characters and Unicode

Total characters13094
Distinct characters622
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1550 ?
Unique (%)71.3%

Sample

1st row자동판매기
2nd row광장오락실
3rd row자동판매기
4th row제일은행응암지점
5th row범서기업
ValueCountFrequency (%)
자동판매기 356
 
14.2%
자판기 73
 
2.9%
gs25 49
 
1.9%
씨유 40
 
1.6%
6호선 15
 
0.6%
이마트24 15
 
0.6%
0 13
 
0.5%
3호선 9
 
0.4%
몰커피전문점자판기 9
 
0.4%
커피에 8
 
0.3%
Other values (1721) 1928
76.7%
2024-05-11T05:59:18.835957image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
자 611
 
4.7%
기 607
 
4.6%
판 566
 
4.3%
동 483
 
3.7%
매 380
 
2.9%
362
 
2.8%
점 267
 
2.0%
마 161
 
1.2%
은 155
 
1.2%
퍼 147
 
1.1%
Other values (612) 9355
71.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 11802
90.1%
Space Separator 362
 
2.8%
Decimal Number 347
 
2.7%
Uppercase Letter 347
 
2.7%
Open Punctuation 81
 
0.6%
Close Punctuation 81
 
0.6%
Lowercase Letter 53
 
0.4%
Other Punctuation 13
 
0.1%
Dash Punctuation 7
 
0.1%
Connector Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
자 611
 
5.2%
기 607
 
5.1%
판 566
 
4.8%
동 483
 
4.1%
매 380
 
3.2%
점 267
 
2.3%
마 161
 
1.4%
은 155
 
1.3%
퍼 147
 
1.2%
사 134
 
1.1%
Other values (554) 8291
70.3%
Uppercase Letter
ValueCountFrequency (%)
S 92
26.5%
G 68
19.6%
C 49
14.1%
U 23
 
6.6%
P 20
 
5.8%
M 14
 
4.0%
O 9
 
2.6%
D 9
 
2.6%
K 8
 
2.3%
B 8
 
2.3%
Other values (14) 47
13.5%
Lowercase Letter
ValueCountFrequency (%)
e 11
20.8%
c 8
15.1%
o 6
11.3%
a 6
11.3%
f 5
9.4%
d 3
 
5.7%
p 2
 
3.8%
l 2
 
3.8%
u 2
 
3.8%
g 2
 
3.8%
Other values (5) 6
11.3%
Decimal Number
ValueCountFrequency (%)
2 116
33.4%
5 73
21.0%
6 38
 
11.0%
4 31
 
8.9%
1 27
 
7.8%
0 25
 
7.2%
3 22
 
6.3%
9 9
 
2.6%
8 4
 
1.2%
7 2
 
0.6%
Other Punctuation
ValueCountFrequency (%)
. 7
53.8%
& 3
23.1%
? 2
 
15.4%
/ 1
 
7.7%
Space Separator
ValueCountFrequency (%)
362
100.0%
Open Punctuation
ValueCountFrequency (%)
( 81
100.0%
Close Punctuation
ValueCountFrequency (%)
) 81
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 7
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 11802
90.1%
Common 892
 
6.8%
Latin 400
 
3.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
자 611
 
5.2%
기 607
 
5.1%
판 566
 
4.8%
동 483
 
4.1%
매 380
 
3.2%
점 267
 
2.3%
마 161
 
1.4%
은 155
 
1.3%
퍼 147
 
1.2%
사 134
 
1.1%
Other values (554) 8291
70.3%
Latin
ValueCountFrequency (%)
S 92
23.0%
G 68
17.0%
C 49
12.2%
U 23
 
5.8%
P 20
 
5.0%
M 14
 
3.5%
e 11
 
2.8%
O 9
 
2.2%
D 9
 
2.2%
c 8
 
2.0%
Other values (29) 97
24.2%
Common
ValueCountFrequency (%)
362
40.6%
2 116
 
13.0%
( 81
 
9.1%
) 81
 
9.1%
5 73
 
8.2%
6 38
 
4.3%
4 31
 
3.5%
1 27
 
3.0%
0 25
 
2.8%
3 22
 
2.5%
Other values (9) 36
 
4.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 11801
90.1%
ASCII 1292
 
9.9%
Compat Jamo 1
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
자 611
 
5.2%
기 607
 
5.1%
판 566
 
4.8%
동 483
 
4.1%
매 380
 
3.2%
점 267
 
2.3%
마 161
 
1.4%
은 155
 
1.3%
퍼 147
 
1.2%
사 134
 
1.1%
Other values (553) 8290
70.2%
ASCII
ValueCountFrequency (%)
362
28.0%
2 116
 
9.0%
S 92
 
7.1%
( 81
 
6.3%
) 81
 
6.3%
5 73
 
5.7%
G 68
 
5.3%
C 49
 
3.8%
6 38
 
2.9%
4 31
 
2.4%
Other values (48) 301
23.3%
Compat Jamo
ValueCountFrequency (%)
ㄱ 1
100.0%

최종수정일자
Date

Distinct1255
Distinct (%)57.8%
Missing0
Missing (%)0.0%
Memory size17.1 KiB
Minimum1999-01-12 00:00:00
Maximum2024-05-08 14:21:02
2024-05-11T05:59:19.527568image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T05:59:20.184633image/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 size17.1 KiB
I
1998 
U
 
175

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 1998
91.9%
U 175
 
8.1%

Length

2024-05-11T05:59:20.815410image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T05:59:21.265250image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 1998
91.9%
u 175
 
8.1%

데이터갱신일자
Date

Distinct227
Distinct (%)10.4%
Missing0
Missing (%)0.0%
Memory size17.1 KiB
Minimum2018-08-31 23:59:59
Maximum2023-12-05 00:05:00
2024-05-11T05:59:21.818985image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T05:59:22.315109image/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 size17.1 KiB
식품자동판매기영업
2173 

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 2173
100.0%

Length

2024-05-11T05:59:22.908435image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T05:59:23.333449image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
식품자동판매기영업 2173
100.0%

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct1496
Distinct (%)78.2%
Missing260
Missing (%)12.0%
Infinite0
Infinite (%)0.0%
Mean192773.95
Minimum189667.93
Maximum195635.68
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size19.2 KiB
2024-05-11T05:59:23.927503image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum189667.93
5-th percentile191499.23
Q1192370.06
median192766.97
Q3193300.31
95-th percentile193999.62
Maximum195635.68
Range5967.7485
Interquartile range (IQR)930.25262

Descriptive statistics

Standard deviation788.81346
Coefficient of variation (CV)0.0040919091
Kurtosis0.76708076
Mean192773.95
Median Absolute Deviation (MAD)458.10573
Skewness-0.31736148
Sum3.6877656 × 108
Variance622226.68
MonotonicityNot monotonic
2024-05-11T05:59:24.475038image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
193687.83561561 11
 
0.5%
192942.942317446 11
 
0.5%
193674.822523911 9
 
0.4%
193649.944135845 8
 
0.4%
192271.91851628 8
 
0.4%
191925.872844866 8
 
0.4%
193604.709211526 6
 
0.3%
192453.775146373 5
 
0.2%
192741.236746194 5
 
0.2%
194257.26628503 5
 
0.2%
Other values (1486) 1837
84.5%
(Missing) 260
 
12.0%
ValueCountFrequency (%)
189667.934230977 2
0.1%
189809.444580946 1
< 0.1%
190083.674433147 1
< 0.1%
190148.389108835 1
< 0.1%
190349.390629372 1
< 0.1%
190369.813608742 1
< 0.1%
190373.380194267 1
< 0.1%
190381.330981139 1
< 0.1%
190417.251468601 1
< 0.1%
190568.046976573 1
< 0.1%
ValueCountFrequency (%)
195635.682684918 1
< 0.1%
195635.469951562 1
< 0.1%
195606.462692529 1
< 0.1%
195390.883734004 1
< 0.1%
195331.805930291 1
< 0.1%
195215.417977228 1
< 0.1%
194957.090541674 1
< 0.1%
194599.314851566 1
< 0.1%
194580.075277395 1
< 0.1%
194564.013745201 1
< 0.1%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct1496
Distinct (%)78.2%
Missing260
Missing (%)12.0%
Infinite0
Infinite (%)0.0%
Mean456044.1
Minimum452743.1
Maximum461552.38
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size19.2 KiB
2024-05-11T05:59:25.042324image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum452743.1
5-th percentile453487.09
Q1454986.69
median456004.58
Q3457198.59
95-th percentile458989.14
Maximum461552.38
Range8809.2796
Interquartile range (IQR)2211.8976

Descriptive statistics

Standard deviation1602.1503
Coefficient of variation (CV)0.0035131477
Kurtosis-0.0085879959
Mean456044.1
Median Absolute Deviation (MAD)1085.2837
Skewness0.32656264
Sum8.7241237 × 108
Variance2566885.6
MonotonicityNot monotonic
2024-05-11T05:59:25.777262image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
456469.658454439 11
 
0.5%
457402.138214991 11
 
0.5%
456608.161655167 9
 
0.4%
455596.742641336 8
 
0.4%
454320.240002891 8
 
0.4%
453487.089880529 8
 
0.4%
455734.902326677 6
 
0.3%
455222.314775578 5
 
0.2%
459471.990833913 5
 
0.2%
455418.588619044 5
 
0.2%
Other values (1486) 1837
84.5%
(Missing) 260
 
12.0%
ValueCountFrequency (%)
452743.104106677 1
 
< 0.1%
452799.599269845 4
0.2%
452828.203988479 1
 
< 0.1%
452864.704526364 1
 
< 0.1%
452890.003005512 1
 
< 0.1%
452910.079476527 1
 
< 0.1%
452924.117735363 2
0.1%
452935.810651021 1
 
< 0.1%
452953.227572091 1
 
< 0.1%
452979.040751407 1
 
< 0.1%
ValueCountFrequency (%)
461552.383659581 1
 
< 0.1%
461349.457083403 1
 
< 0.1%
461324.68362375 1
 
< 0.1%
461236.464040072 1
 
< 0.1%
461175.2097954 1
 
< 0.1%
461114.48586537 1
 
< 0.1%
461018.865534932 1
 
< 0.1%
460763.547867283 3
0.1%
460734.648208213 1
 
< 0.1%
460496.428060069 1
 
< 0.1%

위생업태명
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size17.1 KiB
식품자동판매기영업
2059 
<NA>
 
114

Length

Max length9
Median length9
Mean length8.7376898
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
식품자동판매기영업 2059
94.8%
<NA> 114
 
5.2%

Length

2024-05-11T05:59:26.288973image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T05:59:26.740908image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
식품자동판매기영업 2059
94.8%
na 114
 
5.2%

남성종사자수
Categorical

Distinct4
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size17.1 KiB
<NA>
1184 
0
742 
1
246 
2
 
1

Length

Max length4
Median length4
Mean length2.6346065
Min length1

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
<NA> 1184
54.5%
0 742
34.1%
1 246
 
11.3%
2 1
 
< 0.1%

Length

2024-05-11T05:59:27.285316image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T05:59:27.819833image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 1184
54.5%
0 742
34.1%
1 246
 
11.3%
2 1
 
< 0.1%

여성종사자수
Categorical

Distinct4
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size17.1 KiB
<NA>
1186 
0
806 
1
179 
2
 
2

Length

Max length4
Median length4
Mean length2.6373677
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row1
4th row0
5th row0

Common Values

ValueCountFrequency (%)
<NA> 1186
54.6%
0 806
37.1%
1 179
 
8.2%
2 2
 
0.1%

Length

2024-05-11T05:59:28.316215image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T05:59:28.768331image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 1186
54.6%
0 806
37.1%
1 179
 
8.2%
2 2
 
0.1%

영업장주변구분명
Categorical

Distinct8
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size17.1 KiB
<NA>
944 
기타
660 
주택가주변
543 
유흥업소밀집지역
 
11
학교정화(상대)
 
5
Other values (3)
 
10

Length

Max length8
Median length7
Mean length3.6820064
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 944
43.4%
기타 660
30.4%
주택가주변 543
25.0%
유흥업소밀집지역 11
 
0.5%
학교정화(상대) 5
 
0.2%
아파트지역 5
 
0.2%
결혼예식장주변 3
 
0.1%
학교정화(절대) 2
 
0.1%

Length

2024-05-11T05:59:29.202108image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T05:59:29.785619image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 944
43.4%
기타 660
30.4%
주택가주변 543
25.0%
유흥업소밀집지역 11
 
0.5%
학교정화(상대 5
 
0.2%
아파트지역 5
 
0.2%
결혼예식장주변 3
 
0.1%
학교정화(절대 2
 
0.1%

등급구분명
Categorical

Distinct5
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size17.1 KiB
<NA>
944 
기타
718 
자율
502 
우수
 
7
관리
 
2

Length

Max length4
Median length2
Mean length2.8688449
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 944
43.4%
기타 718
33.0%
자율 502
23.1%
우수 7
 
0.3%
관리 2
 
0.1%

Length

2024-05-11T05:59:30.238313image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T05:59:30.632308image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 944
43.4%
기타 718
33.0%
자율 502
23.1%
우수 7
 
0.3%
관리 2
 
0.1%

급수시설구분명
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size17.1 KiB
<NA>
2081 
상수도전용
 
92

Length

Max length5
Median length4
Mean length4.0423378
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> 2081
95.8%
상수도전용 92
 
4.2%

Length

2024-05-11T05:59:31.062231image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T05:59:31.391851image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 2081
95.8%
상수도전용 92
 
4.2%

총인원
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size17.1 KiB
<NA>
2149 
0
 
24

Length

Max length4
Median length4
Mean length3.9668661
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> 2149
98.9%
0 24
 
1.1%

Length

2024-05-11T05:59:31.763630image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T05:59:32.101069image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 2149
98.9%
0 24
 
1.1%

본사종업원수
Categorical

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size17.1 KiB
<NA>
1127 
0
1046 

Length

Max length4
Median length4
Mean length2.5559135
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 1127
51.9%
0 1046
48.1%

Length

2024-05-11T05:59:32.461517image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T05:59:32.740056image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 1127
51.9%
0 1046
48.1%

공장사무직종업원수
Categorical

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size17.1 KiB
<NA>
1127 
0
1046 

Length

Max length4
Median length4
Mean length2.5559135
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 1127
51.9%
0 1046
48.1%

Length

2024-05-11T05:59:33.008085image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T05:59:33.216399image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 1127
51.9%
0 1046
48.1%

공장판매직종업원수
Categorical

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size17.1 KiB
<NA>
1127 
0
1046 

Length

Max length4
Median length4
Mean length2.5559135
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 1127
51.9%
0 1046
48.1%

Length

2024-05-11T05:59:33.428770image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T05:59:33.788783image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 1127
51.9%
0 1046
48.1%

공장생산직종업원수
Categorical

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size17.1 KiB
<NA>
1127 
0
1046 

Length

Max length4
Median length4
Mean length2.5559135
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 1127
51.9%
0 1046
48.1%

Length

2024-05-11T05:59:34.170073image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T05:59:34.512590image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 1127
51.9%
0 1046
48.1%

건물소유구분명
Categorical

Distinct3
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size17.1 KiB
<NA>
1560 
자가
511 
임대
 
102

Length

Max length4
Median length4
Mean length3.435803
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> 1560
71.8%
자가 511
 
23.5%
임대 102
 
4.7%

Length

2024-05-11T05:59:34.914929image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T05:59:35.298927image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 1560
71.8%
자가 511
 
23.5%
임대 102
 
4.7%

보증액
Categorical

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size17.1 KiB
<NA>
1797 
0
376 

Length

Max length4
Median length4
Mean length3.480902
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> 1797
82.7%
0 376
 
17.3%

Length

2024-05-11T05:59:35.706857image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T05:59:36.091616image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 1797
82.7%
0 376
 
17.3%

월세액
Categorical

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size17.1 KiB
<NA>
1797 
0
376 

Length

Max length4
Median length4
Mean length3.480902
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> 1797
82.7%
0 376
 
17.3%

Length

2024-05-11T05:59:36.478711image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T05:59:36.822329image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 1797
82.7%
0 376
 
17.3%

다중이용업소여부
Boolean

CONSTANT  MISSING 

Distinct1
Distinct (%)< 0.1%
Missing114
Missing (%)5.2%
Memory size4.4 KiB
False
2059 
(Missing)
 
114
ValueCountFrequency (%)
False 2059
94.8%
(Missing) 114
 
5.2%
2024-05-11T05:59:37.101446image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

시설총규모
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct6
Distinct (%)0.3%
Missing114
Missing (%)5.2%
Infinite0
Infinite (%)0.0%
Mean0.042010685
Minimum0
Maximum55
Zeros2052
Zeros (%)94.4%
Negative0
Negative (%)0.0%
Memory size19.2 KiB
2024-05-11T05:59:37.374128image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum55
Range55
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.2513542
Coefficient of variation (CV)29.78657
Kurtosis1812.6105
Mean0.042010685
Median Absolute Deviation (MAD)0
Skewness41.57404
Sum86.5
Variance1.5658873
MonotonicityNot monotonic
2024-05-11T05:59:37.704463image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
0.0 2052
94.4%
3.3 3
 
0.1%
55.0 1
 
< 0.1%
10.0 1
 
< 0.1%
6.6 1
 
< 0.1%
5.0 1
 
< 0.1%
(Missing) 114
 
5.2%
ValueCountFrequency (%)
0.0 2052
94.4%
3.3 3
 
0.1%
5.0 1
 
< 0.1%
6.6 1
 
< 0.1%
10.0 1
 
< 0.1%
55.0 1
 
< 0.1%
ValueCountFrequency (%)
55.0 1
 
< 0.1%
10.0 1
 
< 0.1%
6.6 1
 
< 0.1%
5.0 1
 
< 0.1%
3.3 3
 
0.1%
0.0 2052
94.4%

전통업소지정번호
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2173
Missing (%)100.0%
Memory size19.2 KiB

전통업소주된음식
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2173
Missing (%)100.0%
Memory size19.2 KiB

홈페이지
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size17.1 KiB
<NA>
2172 
6
 
1

Length

Max length4
Median length4
Mean length3.9986194
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> 2172
> 99.9%
6 1
 
< 0.1%

Length

2024-05-11T05:59:38.106738image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T05:59:38.337046image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 2172
> 99.9%
6 1
 
< 0.1%

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)위생업태명남성종사자수여성종사자수영업장주변구분명등급구분명급수시설구분명총인원본사종업원수공장사무직종업원수공장판매직종업원수공장생산직종업원수건물소유구분명보증액월세액다중이용업소여부시설총규모전통업소지정번호전통업소주된음식홈페이지
031100003110000-112-1939-0011719390327<NA>3폐업2폐업19960702<NA><NA><NA>0204160416<NA>122832서울특별시 은평구 녹번동 134-15 미미분식 1층동<NA><NA>자동판매기2001-09-28 00:00:00I2018-08-31 23:59:59.0식품자동판매기영업193478.625247456089.700089식품자동판매기영업00주택가주변자율<NA><NA><NA><NA><NA><NA><NA><NA><NA>N0.0<NA><NA><NA>
131100003110000-112-1981-0045819810831<NA>3폐업2폐업19950404<NA><NA><NA>02<NA>122924서울특별시 은평구 응암동 601-6<NA><NA>광장오락실2001-03-13 00:00:00I2018-08-31 23:59:59.0식품자동판매기영업192681.205159454054.074453식품자동판매기영업00기타기타<NA><NA><NA><NA><NA><NA><NA><NA><NA>N0.0<NA><NA><NA>
231100003110000-112-1982-0084719820817<NA>3폐업2폐업19960930<NA><NA><NA>0204160416<NA>122924서울특별시 은평구 응암동 595-2 응암칼국수 1층동<NA><NA>자동판매기2001-09-28 00:00:00I2018-08-31 23:59:59.0식품자동판매기영업192517.413773453850.198336식품자동판매기영업01주택가주변기타<NA><NA><NA><NA><NA><NA><NA><NA><NA>N0.0<NA><NA><NA>
331100003110000-112-1983-0043919830728<NA>3폐업2폐업20011005<NA><NA><NA>02 3872511<NA>122907서울특별시 은평구 응암동 88-10 제일은행 1층동<NA><NA>제일은행응암지점2001-10-23 00:00:00I2018-08-31 23:59:59.0식품자동판매기영업193038.594137455369.443002식품자동판매기영업00기타기타<NA><NA><NA><NA><NA><NA><NA><NA><NA>N0.0<NA><NA><NA>
431100003110000-112-1983-0044019830930<NA>1영업/정상1영업<NA><NA><NA><NA>02 3580224<NA>122859서울특별시 은평구 불광동 308-1서울특별시 은평구 통일로 842 (불광동)3350범서기업2012-05-09 13:08:29I2018-08-31 23:59:59.0식품자동판매기영업193035.279146457365.911737식품자동판매기영업00기타기타<NA><NA>0000<NA><NA><NA>N0.0<NA><NA><NA>
531100003110000-112-1983-0044819830321<NA>3폐업2폐업19950617<NA><NA><NA>0204160416<NA>122859서울특별시 은평구 불광동 305-28<NA><NA>자동판매기2001-09-28 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>
631100003110000-112-1983-0044919830322<NA>3폐업2폐업19891120<NA><NA><NA>0204160416<NA>122860서울특별시 은평구 불광동 486-25 농협갈현지 1층동<NA><NA>자동판매기2001-09-28 00:00:00I2018-08-31 23:59:59.0식품자동판매기영업192954.456857457503.411988식품자동판매기영업00기타기타<NA><NA><NA><NA><NA><NA><NA><NA><NA>N0.0<NA><NA><NA>
731100003110000-112-1983-0045019830323<NA>3폐업2폐업20100621<NA><NA><NA>000203852445<NA>122879서울특별시 은평구 신사동 8-5 금성운수내 1층동<NA><NA>자동판매기2007-08-06 17:03:26I2018-08-31 23:59:59.0식품자동판매기영업192023.767867455324.346592식품자동판매기영업00기타기타<NA><NA>0000<NA><NA><NA>N0.0<NA><NA><NA>
831100003110000-112-1983-0045119830315<NA>3폐업2폐업19960930<NA><NA><NA>0204160416<NA>122882서울특별시 은평구 신사동 29-13 풍선기사식 1층동<NA><NA>자동판매기2001-09-28 00:00:00I2018-08-31 23:59:59.0식품자동판매기영업192032.7975455050.65513식품자동판매기영업00기타기타<NA><NA><NA><NA><NA><NA><NA><NA><NA>N0.0<NA><NA><NA>
931100003110000-112-1983-0045319830325<NA>3폐업2폐업20110825<NA><NA><NA>02 3595562<NA>122823서울특별시 은평구 구산동 202-1<NA><NA>예스마트2011-04-15 14:29:29I2018-08-31 23:59:59.0식품자동판매기영업192001.00517456858.731696식품자동판매기영업00기타기타<NA><NA>0000<NA><NA><NA>N0.0<NA><NA><NA>
개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)위생업태명남성종사자수여성종사자수영업장주변구분명등급구분명급수시설구분명총인원본사종업원수공장사무직종업원수공장판매직종업원수공장생산직종업원수건물소유구분명보증액월세액다중이용업소여부시설총규모전통업소지정번호전통업소주된음식홈페이지
216331100003110000-112-2023-000272023-12-20<NA>1영업/정상1영업<NA><NA><NA><NA><NA>3.3122-830서울특별시 은평구 녹번동 100-55 현대 아파트서울특별시 은평구 녹번로 40, 상가동 1층 (녹번동, 현대 아파트)3381GS25시 녹번파크점2023-12-20 15:50:41I2022-11-01 22:03:00.0식품자동판매기영업193677.448995455842.688366<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
216431100003110000-112-2024-000012024-01-09<NA>1영업/정상1영업<NA><NA><NA><NA><NA>3.3122-807서울특별시 은평구 구산동 382-4서울특별시 은평구 서오릉로21길 35, 1층 (구산동)3427사람없는 커피어때2024-01-09 09:46:20I2023-11-30 23:01:00.0식품자동판매기영업191680.388626456773.295289<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
216531100003110000-112-2024-000022024-02-23<NA>1영업/정상1영업<NA><NA><NA><NA><NA>34.32122-847서울특별시 은평구 불광동 631-1 대호프라자아파트서울특별시 은평구 불광로 90, 1층 130호 (불광동, 대호프라자아파트)3364커피에 반하다 불광대호점2024-02-23 14:14:33I2023-12-01 22:06:00.0식품자동판매기영업194002.701727456937.54251<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
216631100003110000-112-2024-000032024-02-26<NA>1영업/정상1영업<NA><NA><NA><NA><NA>31.44122-200서울특별시 은평구 진관동 19서울특별시 은평구 진관4로 17, 제1층 제상가103호 (진관동)3302카페제3공간2024-02-26 13:59:08I2023-12-01 22:08:00.0식품자동판매기영업193113.249411459913.076111<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
216731100003110000-112-2024-000042024-02-29<NA>1영업/정상1영업<NA><NA><NA><NA><NA>35.0122-842서울특별시 은평구 대조동 205-31서울특별시 은평구 통일로73길 22-1, 1층 (대조동)3386소울우드카페(Soulwoodcafe) 은평커피2024-04-22 16:16:58U2023-12-03 22:04:00.0식품자동판매기영업193047.20209456961.134339<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
216831100003110000-112-2024-000052024-03-20<NA>1영업/정상1영업<NA><NA><NA><NA><NA>3.3122-200서울특별시 은평구 진관동 산 25-2 삼천사서울특별시 은평구 연서로54길 127, 삼천사 (진관동)3308삼천사2024-03-20 14:35:54I2023-12-02 22:02:00.0식품자동판매기영업195635.469952459915.948212<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
216931100003110000-112-2024-000062024-03-21<NA>1영업/정상1영업<NA><NA><NA><NA><NA>3.3122-882서울특별시 은평구 신사동 22-15 6호선 응암역사무소서울특별시 은평구 증산로 지하 477, 6호선 응암역사무소 지하2층 2001호 (신사동)3449S6응암역점2024-03-21 12:18:21I2023-12-02 22:03:00.0식품자동판매기영업192413.092488455125.431092<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
217031100003110000-112-2024-000072024-03-29<NA>1영업/정상1영업<NA><NA><NA><NA><NA>43.62122-200서울특별시 은평구 진관동 88 은평뉴타운우물골서울특별시 은평구 진관2로 111-7, 214동 지하1층 상가비115호 (진관동, 은평뉴타운우물골)3306커피봇 우물골점2024-03-29 15:42:16I2023-12-02 21:01:00.0식품자동판매기영업193884.826419459328.813094<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
217131100003110000-112-2024-000082024-04-18<NA>3폐업2폐업2024-05-03<NA><NA><NA><NA>3.3122-871서울특별시 은평구 불광동 600-3서울특별시 은평구 불광로2길 10, 1층 (불광동)3368GS25 불광홈타운2024-05-03 10:34:14U2023-12-05 00:05:00.0식품자동판매기영업193994.748597456614.399801<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
217231100003110000-112-2024-000092024-05-08<NA>1영업/정상1영업<NA><NA><NA><NA><NA>3.3122-881서울특별시 은평구 신사동 19-117 홍익아파트서울특별시 은평구 가좌로 342, 1층 B호 (신사동, 홍익아파트)3437꿈꾸는 카페월아 신사점2024-05-08 14:21:02I2023-12-04 23:00:00.0식품자동판매기영업191814.410526455025.086909<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>