Overview

Dataset statistics

Number of variables44
Number of observations193
Missing cells1709
Missing cells (%)20.1%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory71.0 KiB
Average record size in memory376.7 B

Variable types

Categorical23
Text6
DateTime3
Unsupported7
Numeric4
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-18188/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
업태구분명 has constant value ""Constant
다중이용업소여부 has constant value ""Constant
데이터갱신구분 is highly imbalanced (55.5%)Imbalance
데이터갱신일자 is highly imbalanced (60.8%)Imbalance
남성종사자수 is highly imbalanced (53.0%)Imbalance
여성종사자수 is highly imbalanced (62.2%)Imbalance
영업장주변구분명 is highly imbalanced (60.1%)Imbalance
등급구분명 is highly imbalanced (61.7%)Imbalance
총인원 is highly imbalanced (82.7%)Imbalance
시설총규모 is highly imbalanced (70.1%)Imbalance
인허가취소일자 has 193 (100.0%) missing valuesMissing
폐업일자 has 36 (18.7%) missing valuesMissing
휴업시작일자 has 193 (100.0%) missing valuesMissing
휴업종료일자 has 193 (100.0%) missing valuesMissing
재개업일자 has 193 (100.0%) missing valuesMissing
전화번호 has 55 (28.5%) missing valuesMissing
소재지면적 has 15 (7.8%) missing valuesMissing
도로명주소 has 97 (50.3%) missing valuesMissing
도로명우편번호 has 100 (51.8%) missing valuesMissing
좌표정보(X) has 15 (7.8%) missing valuesMissing
좌표정보(Y) has 15 (7.8%) missing valuesMissing
다중이용업소여부 has 25 (13.0%) missing valuesMissing
전통업소지정번호 has 193 (100.0%) missing valuesMissing
전통업소주된음식 has 193 (100.0%) missing valuesMissing
홈페이지 has 193 (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 3 (1.6%) zerosZeros

Reproduction

Analysis started2024-04-29 19:38:26.104303
Analysis finished2024-04-29 19:38:27.018266
Duration0.91 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
3110000
193 

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 193
100.0%

Length

2024-04-30T04:38:27.080287image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:38:27.168174image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3110000 193
100.0%

관리번호
Text

UNIQUE 

Distinct193
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
2024-04-30T04:38:27.322736image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length22
Median length22
Mean length22
Min length22

Characters and Unicode

Total characters4246
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

Unique193 ?
Unique (%)100.0%

Sample

1st row3110000-109-1988-00143
2nd row3110000-109-1993-00144
3rd row3110000-109-1993-00145
4th row3110000-109-1994-00146
5th row3110000-109-1994-00147
ValueCountFrequency (%)
3110000-109-1988-00143 1
 
0.5%
3110000-109-2007-00004 1
 
0.5%
3110000-109-2013-00004 1
 
0.5%
3110000-109-2012-00001 1
 
0.5%
3110000-109-2012-00002 1
 
0.5%
3110000-109-2012-00003 1
 
0.5%
3110000-109-2012-00004 1
 
0.5%
3110000-109-2012-00005 1
 
0.5%
3110000-109-2012-00006 1
 
0.5%
3110000-109-2013-00001 1
 
0.5%
Other values (183) 183
94.8%
2024-04-30T04:38:27.602271image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 1928
45.4%
1 748
 
17.6%
- 579
 
13.6%
9 279
 
6.6%
3 251
 
5.9%
2 239
 
5.6%
4 57
 
1.3%
6 52
 
1.2%
5 46
 
1.1%
8 34
 
0.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 3667
86.4%
Dash Punctuation 579
 
13.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 1928
52.6%
1 748
 
20.4%
9 279
 
7.6%
3 251
 
6.8%
2 239
 
6.5%
4 57
 
1.6%
6 52
 
1.4%
5 46
 
1.3%
8 34
 
0.9%
7 33
 
0.9%
Dash Punctuation
ValueCountFrequency (%)
- 579
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 4246
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 1928
45.4%
1 748
 
17.6%
- 579
 
13.6%
9 279
 
6.6%
3 251
 
5.9%
2 239
 
5.6%
4 57
 
1.3%
6 52
 
1.2%
5 46
 
1.1%
8 34
 
0.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 4246
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 1928
45.4%
1 748
 
17.6%
- 579
 
13.6%
9 279
 
6.6%
3 251
 
5.9%
2 239
 
5.6%
4 57
 
1.3%
6 52
 
1.2%
5 46
 
1.1%
8 34
 
0.8%

인허가일자
Date

Distinct184
Distinct (%)95.3%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
Minimum1986-01-27 00:00:00
Maximum2024-03-25 00:00:00
2024-04-30T04:38:27.730357image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T04:38:27.871024image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing193
Missing (%)100.0%
Memory size1.8 KiB

영업상태코드
Categorical

Distinct2
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
3
157 
1
36 

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 (%)
3 157
81.3%
1 36
 
18.7%

Length

2024-04-30T04:38:27.981368image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:38:28.073061image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 157
81.3%
1 36
 
18.7%

영업상태명
Categorical

Distinct2
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
폐업
157 
영업/정상
36 

Length

Max length5
Median length2
Mean length2.5595855
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 157
81.3%
영업/정상 36
 
18.7%

Length

2024-04-30T04:38:28.175755image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:38:28.263221image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 157
81.3%
영업/정상 36
 
18.7%

상세영업상태코드
Categorical

Distinct2
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
2
157 
1
36 

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 (%)
2 157
81.3%
1 36
 
18.7%

Length

2024-04-30T04:38:28.347255image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:38:28.444500image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2 157
81.3%
1 36
 
18.7%

상세영업상태명
Categorical

Distinct2
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
폐업
157 
영업
36 

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 157
81.3%
영업 36
 
18.7%

Length

2024-04-30T04:38:28.523098image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:38:28.613238image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 157
81.3%
영업 36
 
18.7%

폐업일자
Date

MISSING 

Distinct143
Distinct (%)91.1%
Missing36
Missing (%)18.7%
Memory size1.6 KiB
Minimum1996-11-09 00:00:00
Maximum2024-03-08 00:00:00
2024-04-30T04:38:28.707919image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T04:38:28.815473image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing193
Missing (%)100.0%
Memory size1.8 KiB

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing193
Missing (%)100.0%
Memory size1.8 KiB

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing193
Missing (%)100.0%
Memory size1.8 KiB

전화번호
Text

MISSING 

Distinct131
Distinct (%)94.9%
Missing55
Missing (%)28.5%
Memory size1.6 KiB
2024-04-30T04:38:29.055833image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length10
Mean length10.021739
Min length2

Characters and Unicode

Total characters1383
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

Unique129 ?
Unique (%)93.5%

Sample

1st row02 397
2nd row0203898936
3rd row0203735383
4th row02 3897706
5th row02 3768100
ValueCountFrequency (%)
02 105
39.6%
070 5
 
1.9%
388 3
 
1.1%
383 2
 
0.8%
352 2
 
0.8%
356 2
 
0.8%
3522165 2
 
0.8%
3330 1
 
0.4%
7934 1
 
0.4%
358 1
 
0.4%
Other values (141) 141
53.2%
2024-04-30T04:38:29.400969image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 265
19.2%
2 205
14.8%
3 181
13.1%
147
10.6%
5 119
8.6%
8 112
8.1%
7 100
 
7.2%
6 78
 
5.6%
4 71
 
5.1%
1 53
 
3.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1236
89.4%
Space Separator 147
 
10.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 265
21.4%
2 205
16.6%
3 181
14.6%
5 119
9.6%
8 112
9.1%
7 100
 
8.1%
6 78
 
6.3%
4 71
 
5.7%
1 53
 
4.3%
9 52
 
4.2%
Space Separator
ValueCountFrequency (%)
147
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1383
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 265
19.2%
2 205
14.8%
3 181
13.1%
147
10.6%
5 119
8.6%
8 112
8.1%
7 100
 
7.2%
6 78
 
5.6%
4 71
 
5.1%
1 53
 
3.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1383
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 265
19.2%
2 205
14.8%
3 181
13.1%
147
10.6%
5 119
8.6%
8 112
8.1%
7 100
 
7.2%
6 78
 
5.6%
4 71
 
5.1%
1 53
 
3.8%

소재지면적
Real number (ℝ)

MISSING  ZEROS 

Distinct135
Distinct (%)75.8%
Missing15
Missing (%)7.8%
Infinite0
Infinite (%)0.0%
Mean34.701011
Minimum0
Maximum193.06
Zeros3
Zeros (%)1.6%
Negative0
Negative (%)0.0%
Memory size1.8 KiB
2024-04-30T04:38:29.532256image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile3.3
Q19.9
median21.745
Q342.4825
95-th percentile111.284
Maximum193.06
Range193.06
Interquartile range (IQR)32.5825

Descriptive statistics

Standard deviation36.687392
Coefficient of variation (CV)1.0572427
Kurtosis3.6172596
Mean34.701011
Median Absolute Deviation (MAD)15.145
Skewness1.8755116
Sum6176.78
Variance1345.9647
MonotonicityNot monotonic
2024-04-30T04:38:29.651531image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
6.6 10
 
5.2%
3.3 10
 
5.2%
9.9 6
 
3.1%
20.0 4
 
2.1%
6.0 3
 
1.6%
10.0 3
 
1.6%
30.0 3
 
1.6%
16.5 3
 
1.6%
9.0 3
 
1.6%
0.0 3
 
1.6%
Other values (125) 130
67.4%
(Missing) 15
 
7.8%
ValueCountFrequency (%)
0.0 3
 
1.6%
1.92 1
 
0.5%
3.0 1
 
0.5%
3.15 1
 
0.5%
3.3 10
5.2%
3.37 1
 
0.5%
4.8 1
 
0.5%
4.94 1
 
0.5%
5.0 2
 
1.0%
5.85 1
 
0.5%
ValueCountFrequency (%)
193.06 1
0.5%
171.51 1
0.5%
165.0 1
0.5%
152.47 1
0.5%
129.97 1
0.5%
128.37 1
0.5%
126.24 1
0.5%
121.98 1
0.5%
116.01 1
0.5%
110.45 1
0.5%

소재지우편번호
Text

Distinct92
Distinct (%)47.7%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
2024-04-30T04:38:29.883054image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length6
Mean length6.0673575
Min length6

Characters and Unicode

Total characters1171
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 (%)28.0%

Sample

1st row122826
2nd row122020
3rd row122915
4th row122899
5th row122952
ValueCountFrequency (%)
122837 10
 
5.2%
122859 9
 
4.7%
122906 8
 
4.1%
122200 7
 
3.6%
122900 6
 
3.1%
122882 6
 
3.1%
122935 6
 
3.1%
122819 6
 
3.1%
122952 5
 
2.6%
122847 5
 
2.6%
Other values (82) 125
64.8%
2024-04-30T04:38:30.243885image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 438
37.4%
1 234
20.0%
8 131
 
11.2%
9 104
 
8.9%
0 85
 
7.3%
5 44
 
3.8%
3 35
 
3.0%
7 30
 
2.6%
4 29
 
2.5%
6 28
 
2.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1158
98.9%
Dash Punctuation 13
 
1.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 438
37.8%
1 234
20.2%
8 131
 
11.3%
9 104
 
9.0%
0 85
 
7.3%
5 44
 
3.8%
3 35
 
3.0%
7 30
 
2.6%
4 29
 
2.5%
6 28
 
2.4%
Dash Punctuation
ValueCountFrequency (%)
- 13
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1171
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
2 438
37.4%
1 234
20.0%
8 131
 
11.2%
9 104
 
8.9%
0 85
 
7.3%
5 44
 
3.8%
3 35
 
3.0%
7 30
 
2.6%
4 29
 
2.5%
6 28
 
2.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1171
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 438
37.4%
1 234
20.0%
8 131
 
11.2%
9 104
 
8.9%
0 85
 
7.3%
5 44
 
3.8%
3 35
 
3.0%
7 30
 
2.6%
4 29
 
2.5%
6 28
 
2.4%

지번주소
Text

Distinct183
Distinct (%)94.8%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
2024-04-30T04:38:30.483884image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length54
Median length42
Mean length25.637306
Min length17

Characters and Unicode

Total characters4948
Distinct characters156
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique175 ?
Unique (%)90.7%

Sample

1st row서울특별시 은평구 녹번동 29-10
2nd row서울특별시 은평구 녹번동 산 119-4
3rd row서울특별시 은평구 응암동 244-224
4th row서울특별시 은평구 역촌동 36-39
5th row서울특별시 은평구 응암동 746-1
ValueCountFrequency (%)
서울특별시 193
20.0%
은평구 193
20.0%
응암동 39
 
4.0%
불광동 31
 
3.2%
1층 24
 
2.5%
역촌동 22
 
2.3%
대조동 19
 
2.0%
갈현동 19
 
2.0%
지상1층 17
 
1.8%
신사동 17
 
1.8%
Other values (268) 392
40.6%
2024-04-30T04:38:30.855714image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
935
18.9%
1 298
 
6.0%
구 206
 
4.2%
동 202
 
4.1%
은 196
 
4.0%
평 196
 
4.0%
서 196
 
4.0%
시 194
 
3.9%
울 194
 
3.9%
별 193
 
3.9%
Other values (146) 2138
43.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2712
54.8%
Decimal Number 1003
 
20.3%
Space Separator 935
 
18.9%
Dash Punctuation 181
 
3.7%
Close Punctuation 35
 
0.7%
Open Punctuation 35
 
0.7%
Uppercase Letter 30
 
0.6%
Other Punctuation 15
 
0.3%
Math Symbol 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 206
 
7.6%
동 202
 
7.4%
은 196
 
7.2%
평 196
 
7.2%
서 196
 
7.2%
시 194
 
7.2%
울 194
 
7.2%
별 193
 
7.1%
특 193
 
7.1%
층 89
 
3.3%
Other values (118) 853
31.5%
Uppercase Letter
ValueCountFrequency (%)
B 9
30.0%
C 6
20.0%
H 4
13.3%
A 3
 
10.0%
M 2
 
6.7%
V 1
 
3.3%
D 1
 
3.3%
G 1
 
3.3%
T 1
 
3.3%
R 1
 
3.3%
Decimal Number
ValueCountFrequency (%)
1 298
29.7%
2 130
13.0%
3 115
 
11.5%
0 99
 
9.9%
4 79
 
7.9%
5 72
 
7.2%
6 66
 
6.6%
7 51
 
5.1%
8 47
 
4.7%
9 46
 
4.6%
Other Punctuation
ValueCountFrequency (%)
, 13
86.7%
. 2
 
13.3%
Space Separator
ValueCountFrequency (%)
935
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 181
100.0%
Close Punctuation
ValueCountFrequency (%)
) 35
100.0%
Open Punctuation
ValueCountFrequency (%)
( 35
100.0%
Math Symbol
ValueCountFrequency (%)
~ 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2712
54.8%
Common 2206
44.6%
Latin 30
 
0.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 206
 
7.6%
동 202
 
7.4%
은 196
 
7.2%
평 196
 
7.2%
서 196
 
7.2%
시 194
 
7.2%
울 194
 
7.2%
별 193
 
7.1%
특 193
 
7.1%
층 89
 
3.3%
Other values (118) 853
31.5%
Common
ValueCountFrequency (%)
935
42.4%
1 298
 
13.5%
- 181
 
8.2%
2 130
 
5.9%
3 115
 
5.2%
0 99
 
4.5%
4 79
 
3.6%
5 72
 
3.3%
6 66
 
3.0%
7 51
 
2.3%
Other values (7) 180
 
8.2%
Latin
ValueCountFrequency (%)
B 9
30.0%
C 6
20.0%
H 4
13.3%
A 3
 
10.0%
M 2
 
6.7%
V 1
 
3.3%
D 1
 
3.3%
G 1
 
3.3%
T 1
 
3.3%
R 1
 
3.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2712
54.8%
ASCII 2236
45.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
935
41.8%
1 298
 
13.3%
- 181
 
8.1%
2 130
 
5.8%
3 115
 
5.1%
0 99
 
4.4%
4 79
 
3.5%
5 72
 
3.2%
6 66
 
3.0%
7 51
 
2.3%
Other values (18) 210
 
9.4%
Hangul
ValueCountFrequency (%)
구 206
 
7.6%
동 202
 
7.4%
은 196
 
7.2%
평 196
 
7.2%
서 196
 
7.2%
시 194
 
7.2%
울 194
 
7.2%
별 193
 
7.1%
특 193
 
7.1%
층 89
 
3.3%
Other values (118) 853
31.5%

도로명주소
Text

MISSING 

Distinct96
Distinct (%)100.0%
Missing97
Missing (%)50.3%
Memory size1.6 KiB
2024-04-30T04:38:31.105130image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length55
Median length46
Mean length32.34375
Min length22

Characters and Unicode

Total characters3105
Distinct characters129
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique96 ?
Unique (%)100.0%

Sample

1st row서울특별시 은평구 가좌로7길 9, 지상1층 가호 (응암동)
2nd row서울특별시 은평구 서오릉로 93, 1층 (역촌동)
3rd row서울특별시 은평구 증산로3길 12 (증산동,다10.11, 다12.13)
4th row서울특별시 은평구 연서로 285, 1층 (불광동)
5th row서울특별시 은평구 수색로 256 (수색동)
ValueCountFrequency (%)
서울특별시 96
 
15.8%
은평구 96
 
15.8%
1층 21
 
3.5%
응암동 20
 
3.3%
지상1층 17
 
2.8%
갈현동 11
 
1.8%
통일로 10
 
1.6%
대조동 9
 
1.5%
지하1층 9
 
1.5%
2층 8
 
1.3%
Other values (226) 311
51.2%
2024-04-30T04:38:31.488377image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
512
 
16.5%
1 166
 
5.3%
서 123
 
4.0%
은 107
 
3.4%
평 107
 
3.4%
동 106
 
3.4%
, 104
 
3.3%
( 103
 
3.3%
) 103
 
3.3%
구 101
 
3.3%
Other values (119) 1573
50.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1753
56.5%
Space Separator 512
 
16.5%
Decimal Number 486
 
15.7%
Other Punctuation 106
 
3.4%
Open Punctuation 103
 
3.3%
Close Punctuation 103
 
3.3%
Dash Punctuation 25
 
0.8%
Uppercase Letter 14
 
0.5%
Math Symbol 3
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
서 123
 
7.0%
은 107
 
6.1%
평 107
 
6.1%
동 106
 
6.0%
구 101
 
5.8%
특 96
 
5.5%
시 96
 
5.5%
울 96
 
5.5%
별 96
 
5.5%
로 93
 
5.3%
Other values (93) 732
41.8%
Decimal Number
ValueCountFrequency (%)
1 166
34.2%
2 86
17.7%
3 49
 
10.1%
0 38
 
7.8%
9 34
 
7.0%
7 31
 
6.4%
8 22
 
4.5%
5 21
 
4.3%
4 21
 
4.3%
6 18
 
3.7%
Uppercase Letter
ValueCountFrequency (%)
B 4
28.6%
M 2
14.3%
A 2
14.3%
C 1
 
7.1%
D 1
 
7.1%
L 1
 
7.1%
E 1
 
7.1%
R 1
 
7.1%
T 1
 
7.1%
Other Punctuation
ValueCountFrequency (%)
, 104
98.1%
. 2
 
1.9%
Space Separator
ValueCountFrequency (%)
512
100.0%
Open Punctuation
ValueCountFrequency (%)
( 103
100.0%
Close Punctuation
ValueCountFrequency (%)
) 103
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 25
100.0%
Math Symbol
ValueCountFrequency (%)
~ 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1753
56.5%
Common 1338
43.1%
Latin 14
 
0.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
서 123
 
7.0%
은 107
 
6.1%
평 107
 
6.1%
동 106
 
6.0%
구 101
 
5.8%
특 96
 
5.5%
시 96
 
5.5%
울 96
 
5.5%
별 96
 
5.5%
로 93
 
5.3%
Other values (93) 732
41.8%
Common
ValueCountFrequency (%)
512
38.3%
1 166
 
12.4%
, 104
 
7.8%
( 103
 
7.7%
) 103
 
7.7%
2 86
 
6.4%
3 49
 
3.7%
0 38
 
2.8%
9 34
 
2.5%
7 31
 
2.3%
Other values (7) 112
 
8.4%
Latin
ValueCountFrequency (%)
B 4
28.6%
M 2
14.3%
A 2
14.3%
C 1
 
7.1%
D 1
 
7.1%
L 1
 
7.1%
E 1
 
7.1%
R 1
 
7.1%
T 1
 
7.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1753
56.5%
ASCII 1352
43.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
512
37.9%
1 166
 
12.3%
, 104
 
7.7%
( 103
 
7.6%
) 103
 
7.6%
2 86
 
6.4%
3 49
 
3.6%
0 38
 
2.8%
9 34
 
2.5%
7 31
 
2.3%
Other values (16) 126
 
9.3%
Hangul
ValueCountFrequency (%)
서 123
 
7.0%
은 107
 
6.1%
평 107
 
6.1%
동 106
 
6.0%
구 101
 
5.8%
특 96
 
5.5%
시 96
 
5.5%
울 96
 
5.5%
별 96
 
5.5%
로 93
 
5.3%
Other values (93) 732
41.8%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct69
Distinct (%)74.2%
Missing100
Missing (%)51.8%
Infinite0
Infinite (%)0.0%
Mean3408.172
Minimum3301
Maximum3506
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.8 KiB
2024-04-30T04:38:31.633335image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3301
5-th percentile3309.4
Q13350
median3413
Q33463
95-th percentile3497
Maximum3506
Range205
Interquartile range (IQR)113

Descriptive statistics

Standard deviation62.820764
Coefficient of variation (CV)0.018432392
Kurtosis-1.2812781
Mean3408.172
Median Absolute Deviation (MAD)63
Skewness-0.13100712
Sum316960
Variance3946.4483
MonotonicityNot monotonic
2024-04-30T04:38:31.753323image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
3350 4
 
2.1%
3461 3
 
1.6%
3485 3
 
1.6%
3335 3
 
1.6%
3481 3
 
1.6%
3497 3
 
1.6%
3385 2
 
1.0%
3423 2
 
1.0%
3416 2
 
1.0%
3454 2
 
1.0%
Other values (59) 66
34.2%
(Missing) 100
51.8%
ValueCountFrequency (%)
3301 1
0.5%
3302 1
0.5%
3304 1
0.5%
3306 1
0.5%
3307 1
0.5%
3311 1
0.5%
3315 1
0.5%
3319 1
0.5%
3320 1
0.5%
3322 1
0.5%
ValueCountFrequency (%)
3506 1
 
0.5%
3505 1
 
0.5%
3502 1
 
0.5%
3500 1
 
0.5%
3497 3
1.6%
3495 1
 
0.5%
3493 1
 
0.5%
3485 3
1.6%
3481 3
1.6%
3480 2
1.0%

사업장명
Text

Distinct187
Distinct (%)96.9%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
2024-04-30T04:38:31.946442image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length18
Median length17
Mean length5.9222798
Min length2

Characters and Unicode

Total characters1143
Distinct characters285
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique182 ?
Unique (%)94.3%

Sample

1st row이화양봉원
2nd row유미식품
3rd row대성라이즈
4th row동로유통
5th row(주)원풍약품상사
ValueCountFrequency (%)
주식회사 5
 
2.2%
영우유통 3
 
1.3%
종로복떡방 2
 
0.9%
뻥튀기 2
 
0.9%
푸르네마트 2
 
0.9%
뻥튀기천국 2
 
0.9%
은평뉴타운점 2
 
0.9%
현대 2
 
0.9%
궁실식품(주 2
 
0.9%
대우농산 2
 
0.9%
Other values (203) 204
89.5%
2024-04-30T04:38:32.349245image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
36
 
3.1%
주 32
 
2.8%
식 29
 
2.5%
이 29
 
2.5%
) 29
 
2.5%
( 28
 
2.4%
마 27
 
2.4%
트 26
 
2.3%
품 24
 
2.1%
유 21
 
1.8%
Other values (275) 862
75.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1017
89.0%
Space Separator 36
 
3.1%
Close Punctuation 29
 
2.5%
Open Punctuation 28
 
2.4%
Lowercase Letter 14
 
1.2%
Uppercase Letter 14
 
1.2%
Decimal Number 4
 
0.3%
Other Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 32
 
3.1%
식 29
 
2.9%
이 29
 
2.9%
마 27
 
2.7%
트 26
 
2.6%
품 24
 
2.4%
유 21
 
2.1%
사 19
 
1.9%
통 17
 
1.7%
스 15
 
1.5%
Other values (249) 778
76.5%
Uppercase Letter
ValueCountFrequency (%)
S 3
21.4%
A 2
14.3%
G 2
14.3%
J 1
 
7.1%
I 1
 
7.1%
R 1
 
7.1%
T 1
 
7.1%
P 1
 
7.1%
D 1
 
7.1%
C 1
 
7.1%
Lowercase Letter
ValueCountFrequency (%)
t 4
28.6%
e 3
21.4%
a 2
14.3%
i 1
 
7.1%
b 1
 
7.1%
f 1
 
7.1%
c 1
 
7.1%
v 1
 
7.1%
Decimal Number
ValueCountFrequency (%)
5 1
25.0%
3 1
25.0%
6 1
25.0%
1 1
25.0%
Space Separator
ValueCountFrequency (%)
36
100.0%
Close Punctuation
ValueCountFrequency (%)
) 29
100.0%
Open Punctuation
ValueCountFrequency (%)
( 28
100.0%
Other Punctuation
ValueCountFrequency (%)
& 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1017
89.0%
Common 98
 
8.6%
Latin 28
 
2.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 32
 
3.1%
식 29
 
2.9%
이 29
 
2.9%
마 27
 
2.7%
트 26
 
2.6%
품 24
 
2.4%
유 21
 
2.1%
사 19
 
1.9%
통 17
 
1.7%
스 15
 
1.5%
Other values (249) 778
76.5%
Latin
ValueCountFrequency (%)
t 4
14.3%
S 3
 
10.7%
e 3
 
10.7%
a 2
 
7.1%
A 2
 
7.1%
G 2
 
7.1%
J 1
 
3.6%
i 1
 
3.6%
b 1
 
3.6%
f 1
 
3.6%
Other values (8) 8
28.6%
Common
ValueCountFrequency (%)
36
36.7%
) 29
29.6%
( 28
28.6%
5 1
 
1.0%
3 1
 
1.0%
6 1
 
1.0%
1 1
 
1.0%
& 1
 
1.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1017
89.0%
ASCII 126
 
11.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
36
28.6%
) 29
23.0%
( 28
22.2%
t 4
 
3.2%
S 3
 
2.4%
e 3
 
2.4%
a 2
 
1.6%
A 2
 
1.6%
G 2
 
1.6%
5 1
 
0.8%
Other values (16) 16
12.7%
Hangul
ValueCountFrequency (%)
주 32
 
3.1%
식 29
 
2.9%
이 29
 
2.9%
마 27
 
2.7%
트 26
 
2.6%
품 24
 
2.4%
유 21
 
2.1%
사 19
 
1.9%
통 17
 
1.7%
스 15
 
1.5%
Other values (249) 778
76.5%

최종수정일자
Date

Distinct163
Distinct (%)84.5%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
Minimum1999-11-27 00:00:00
Maximum2024-03-25 18:15:29
2024-04-30T04:38:32.512493image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T04:38:32.866491image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

데이터갱신구분
Categorical

IMBALANCE 

Distinct3
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
I
159 
U
33 
D
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)0.5%

Sample

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

Common Values

ValueCountFrequency (%)
I 159
82.4%
U 33
 
17.1%
D 1
 
0.5%

Length

2024-04-30T04:38:33.008940image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:38:33.110201image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 159
82.4%
u 33
 
17.1%
d 1
 
0.5%

데이터갱신일자
Categorical

IMBALANCE 

Distinct49
Distinct (%)25.4%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
2018-08-31 23:59:59.0
145 
2021-06-26 02:40:00.0
 
1
2019-12-15 02:40:00.0
 
1
2021-11-17 02:40:00.0
 
1
2020-10-17 02:40:00.0
 
1
Other values (44)
44 

Length

Max length21
Median length21
Mean length21
Min length21

Unique

Unique48 ?
Unique (%)24.9%

Sample

1st row2018-08-31 23:59:59.0
2nd row2018-08-31 23:59:59.0
3rd row2018-08-31 23:59:59.0
4th row2018-08-31 23:59:59.0
5th row2018-08-31 23:59:59.0

Common Values

ValueCountFrequency (%)
2018-08-31 23:59:59.0 145
75.1%
2021-06-26 02:40:00.0 1
 
0.5%
2019-12-15 02:40:00.0 1
 
0.5%
2021-11-17 02:40:00.0 1
 
0.5%
2020-10-17 02:40:00.0 1
 
0.5%
2022-12-04 22:00:00.0 1
 
0.5%
2022-11-01 22:08:00.0 1
 
0.5%
2019-04-14 02:40:00.0 1
 
0.5%
2022-11-30 23:03:00.0 1
 
0.5%
2019-12-11 02:40:00.0 1
 
0.5%
Other values (39) 39
 
20.2%

Length

2024-04-30T04:38:33.201042image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
2018-08-31 145
37.6%
23:59:59.0 145
37.6%
02:40:00.0 19
 
4.9%
2022-12-04 4
 
1.0%
2021-12-06 3
 
0.8%
23:03:00.0 2
 
0.5%
2021-11-02 2
 
0.5%
23:09:00.0 2
 
0.5%
2023-11-30 2
 
0.5%
23:01:00.0 2
 
0.5%
Other values (54) 60
15.5%

업태구분명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
식품소분업
193 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
식품소분업 193
100.0%

Length

2024-04-30T04:38:33.290147image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:38:33.369390image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
식품소분업 193
100.0%

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct147
Distinct (%)82.6%
Missing15
Missing (%)7.8%
Infinite0
Infinite (%)0.0%
Mean192697.04
Minimum190237.97
Maximum194591.87
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.8 KiB
2024-04-30T04:38:33.462064image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum190237.97
5-th percentile191571.02
Q1192215.07
median192720.97
Q3193082.77
95-th percentile193993.97
Maximum194591.87
Range4353.896
Interquartile range (IQR)867.69865

Descriptive statistics

Standard deviation755.45382
Coefficient of variation (CV)0.0039204225
Kurtosis0.74141318
Mean192697.04
Median Absolute Deviation (MAD)463.82493
Skewness-0.33689681
Sum34300074
Variance570710.47
MonotonicityNot monotonic
2024-04-30T04:38:33.575917image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
193035.279146132 9
 
4.7%
193661.732383169 7
 
3.6%
192998.202204135 4
 
2.1%
192882.837727443 4
 
2.1%
194002.701726955 4
 
2.1%
192923.135768384 3
 
1.6%
191839.900890624 2
 
1.0%
192110.579533257 2
 
1.0%
192773.974598512 2
 
1.0%
193768.054867217 2
 
1.0%
Other values (137) 139
72.0%
(Missing) 15
 
7.8%
ValueCountFrequency (%)
190237.973060776 1
0.5%
190375.107369455 1
0.5%
190377.298071187 1
0.5%
190741.823964705 1
0.5%
190977.850603548 1
0.5%
191246.781495245 1
0.5%
191337.27325892 1
0.5%
191467.750111243 1
0.5%
191545.050373675 1
0.5%
191575.605154532 1
0.5%
ValueCountFrequency (%)
194591.869074932 1
 
0.5%
194324.502180001 1
 
0.5%
194177.982854986 1
 
0.5%
194023.833742416 1
 
0.5%
194002.701726955 4
2.1%
194002.293383727 1
 
0.5%
193992.496948329 1
 
0.5%
193882.403283635 1
 
0.5%
193818.672759638 1
 
0.5%
193768.054867217 2
1.0%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct147
Distinct (%)82.6%
Missing15
Missing (%)7.8%
Infinite0
Infinite (%)0.0%
Mean455950.39
Minimum452935.81
Maximum461252.39
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.8 KiB
2024-04-30T04:38:33.701124image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum452935.81
5-th percentile453638.38
Q1454910.19
median455990.45
Q3457017.66
95-th percentile458059.52
Maximum461252.39
Range8316.5762
Interquartile range (IQR)2107.4654

Descriptive statistics

Standard deviation1543.6527
Coefficient of variation (CV)0.0033855717
Kurtosis0.26341285
Mean455950.39
Median Absolute Deviation (MAD)1052.9342
Skewness0.29346978
Sum81159169
Variance2382863.8
MonotonicityNot monotonic
2024-04-30T04:38:33.836456image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
457365.911737494 9
 
4.7%
456379.193899276 7
 
3.6%
457479.99522553 4
 
2.1%
455340.54056388 4
 
2.1%
456937.542510222 4
 
2.1%
454548.951047943 3
 
1.6%
455752.94619252 2
 
1.0%
455117.513947338 2
 
1.0%
455630.884111772 2
 
1.0%
455336.630225175 2
 
1.0%
Other values (137) 139
72.0%
(Missing) 15
 
7.8%
ValueCountFrequency (%)
452935.810651021 1
0.5%
453037.787995874 1
0.5%
453194.537663327 1
0.5%
453218.633734314 1
0.5%
453244.229758597 1
0.5%
453328.114670148 1
0.5%
453446.722064174 1
0.5%
453598.26379729 1
0.5%
453615.643755709 1
0.5%
453642.391604648 1
0.5%
ValueCountFrequency (%)
461252.386823916 1
0.5%
460496.428060069 1
0.5%
459986.856034813 1
0.5%
459572.198529282 1
0.5%
459540.593409197 1
0.5%
459204.649423461 1
0.5%
458428.353074887 1
0.5%
458207.566953064 1
0.5%
458124.269902037 1
0.5%
458048.091039525 1
0.5%

위생업태명
Categorical

Distinct2
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
식품소분업
168 
<NA>
25 

Length

Max length5
Median length5
Mean length4.8704663
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
식품소분업 168
87.0%
<NA> 25
 
13.0%

Length

2024-04-30T04:38:33.947900image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:38:34.032627image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
식품소분업 168
87.0%
na 25
 
13.0%

남성종사자수
Categorical

IMBALANCE 

Distinct4
Distinct (%)2.1%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
<NA>
159 
0
 
15
1
 
12
2
 
7

Length

Max length4
Median length4
Mean length3.4715026
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row1
4th row1
5th row2

Common Values

ValueCountFrequency (%)
<NA> 159
82.4%
0 15
 
7.8%
1 12
 
6.2%
2 7
 
3.6%

Length

2024-04-30T04:38:34.124152image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:38:34.232188image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 159
82.4%
0 15
 
7.8%
1 12
 
6.2%
2 7
 
3.6%

여성종사자수
Categorical

IMBALANCE 

Distinct5
Distinct (%)2.6%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
<NA>
161 
0
21 
1
 
6
2
 
4
3
 
1

Length

Max length4
Median length4
Mean length3.5025907
Min length1

Unique

Unique1 ?
Unique (%)0.5%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 161
83.4%
0 21
 
10.9%
1 6
 
3.1%
2 4
 
2.1%
3 1
 
0.5%

Length

2024-04-30T04:38:34.345563image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:38:34.452776image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 161
83.4%
0 21
 
10.9%
1 6
 
3.1%
2 4
 
2.1%
3 1
 
0.5%

영업장주변구분명
Categorical

IMBALANCE 

Distinct4
Distinct (%)2.1%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
<NA>
160 
주택가주변
27 
기타
 
5
아파트지역
 
1

Length

Max length5
Median length4
Mean length4.0932642
Min length2

Unique

Unique1 ?
Unique (%)0.5%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 160
82.9%
주택가주변 27
 
14.0%
기타 5
 
2.6%
아파트지역 1
 
0.5%

Length

2024-04-30T04:38:34.559427image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:38:34.671721image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 160
82.9%
주택가주변 27
 
14.0%
기타 5
 
2.6%
아파트지역 1
 
0.5%

등급구분명
Categorical

IMBALANCE 

Distinct5
Distinct (%)2.6%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
<NA>
160 
자율
23 
기타
 
5
을
 
3
우수
 
2

Length

Max length4
Median length4
Mean length3.642487
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 160
82.9%
자율 23
 
11.9%
기타 5
 
2.6%
을 3
 
1.6%
우수 2
 
1.0%

Length

2024-04-30T04:38:34.780416image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:38:34.896183image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 160
82.9%
자율 23
 
11.9%
기타 5
 
2.6%
을 3
 
1.6%
우수 2
 
1.0%

급수시설구분명
Categorical

Distinct2
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
<NA>
138 
상수도전용
55 

Length

Max length5
Median length4
Mean length4.2849741
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 138
71.5%
상수도전용 55
 
28.5%

Length

2024-04-30T04:38:35.004179image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:38:35.101678image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 138
71.5%
상수도전용 55
 
28.5%

총인원
Categorical

IMBALANCE 

Distinct2
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
<NA>
188 
0
 
5

Length

Max length4
Median length4
Mean length3.9222798
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> 188
97.4%
0 5
 
2.6%

Length

2024-04-30T04:38:35.212473image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:38:35.310242image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 188
97.4%
0 5
 
2.6%

본사종업원수
Categorical

Distinct2
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
<NA>
119 
0
74 

Length

Max length4
Median length4
Mean length2.8497409
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> 119
61.7%
0 74
38.3%

Length

2024-04-30T04:38:35.411561image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:38:35.495904image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 119
61.7%
0 74
38.3%

공장사무직종업원수
Categorical

Distinct3
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
<NA>
117 
0
73 
1
 
3

Length

Max length4
Median length4
Mean length2.8186528
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> 117
60.6%
0 73
37.8%
1 3
 
1.6%

Length

2024-04-30T04:38:35.582463image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:38:35.680654image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 117
60.6%
0 73
37.8%
1 3
 
1.6%

공장판매직종업원수
Categorical

Distinct4
Distinct (%)2.1%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
<NA>
116 
0
71 
1
 
4
2
 
2

Length

Max length4
Median length4
Mean length2.8031088
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> 116
60.1%
0 71
36.8%
1 4
 
2.1%
2 2
 
1.0%

Length

2024-04-30T04:38:35.778855image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:38:35.865495image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 116
60.1%
0 71
36.8%
1 4
 
2.1%
2 2
 
1.0%

공장생산직종업원수
Categorical

Distinct4
Distinct (%)2.1%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
<NA>
117 
0
68 
2
 
6
1
 
2

Length

Max length4
Median length4
Mean length2.8186528
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> 117
60.6%
0 68
35.2%
2 6
 
3.1%
1 2
 
1.0%

Length

2024-04-30T04:38:35.980273image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:38:36.088528image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 117
60.6%
0 68
35.2%
2 6
 
3.1%
1 2
 
1.0%

건물소유구분명
Categorical

Distinct3
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
<NA>
102 
임대
60 
자가
31 

Length

Max length4
Median length4
Mean length3.0569948
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> 102
52.8%
임대 60
31.1%
자가 31
 
16.1%

Length

2024-04-30T04:38:36.201039image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:38:36.306398image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 102
52.8%
임대 60
31.1%
자가 31
 
16.1%

보증액
Categorical

Distinct2
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
<NA>
171 
0
22 

Length

Max length4
Median length4
Mean length3.6580311
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> 171
88.6%
0 22
 
11.4%

Length

2024-04-30T04:38:36.400191image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:38:36.494382image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 171
88.6%
0 22
 
11.4%

월세액
Categorical

Distinct2
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
<NA>
171 
0
22 

Length

Max length4
Median length4
Mean length3.6580311
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> 171
88.6%
0 22
 
11.4%

Length

2024-04-30T04:38:36.602858image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:38:36.687878image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 171
88.6%
0 22
 
11.4%

다중이용업소여부
Boolean

CONSTANT  MISSING 

Distinct1
Distinct (%)0.6%
Missing25
Missing (%)13.0%
Memory size518.0 B
False
168 
(Missing)
25 
ValueCountFrequency (%)
False 168
87.0%
(Missing) 25
 
13.0%
2024-04-30T04:38:36.773791image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

시설총규모
Categorical

IMBALANCE 

Distinct5
Distinct (%)2.6%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
0.0
165 
<NA>
25 
23.0
 
1
9.52
 
1
0.9
 
1

Length

Max length4
Median length3
Mean length3.1398964
Min length3

Unique

Unique3 ?
Unique (%)1.6%

Sample

1st row0.0
2nd row0.0
3rd row0.0
4th row0.0
5th row0.0

Common Values

ValueCountFrequency (%)
0.0 165
85.5%
<NA> 25
 
13.0%
23.0 1
 
0.5%
9.52 1
 
0.5%
0.9 1
 
0.5%

Length

2024-04-30T04:38:36.858370image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:38:36.949412image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0.0 165
85.5%
na 25
 
13.0%
23.0 1
 
0.5%
9.52 1
 
0.5%
0.9 1
 
0.5%

전통업소지정번호
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing193
Missing (%)100.0%
Memory size1.8 KiB

전통업소주된음식
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing193
Missing (%)100.0%
Memory size1.8 KiB

홈페이지
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing193
Missing (%)100.0%
Memory size1.8 KiB

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)위생업태명남성종사자수여성종사자수영업장주변구분명등급구분명급수시설구분명총인원본사종업원수공장사무직종업원수공장판매직종업원수공장생산직종업원수건물소유구분명보증액월세액다중이용업소여부시설총규모전통업소지정번호전통업소주된음식홈페이지
031100003110000-109-1988-0014319880224<NA>3폐업2폐업20010709<NA><NA><NA>02 397110.45122826서울특별시 은평구 녹번동 29-10<NA><NA>이화양봉원2001-09-28 00:00:00I2018-08-31 23:59:59.0식품소분업194023.833742455911.263855식품소분업00주택가주변을상수도전용<NA><NA><NA><NA><NA><NA><NA><NA>N0.0<NA><NA><NA>
131100003110000-109-1993-0014419930201<NA>3폐업2폐업19970716<NA><NA><NA>02038989360.0122020서울특별시 은평구 녹번동 산 119-4<NA><NA>유미식품2001-09-28 00:00:00I2018-08-31 23:59:59.0식품소분업<NA><NA>식품소분업00주택가주변우수<NA><NA><NA><NA><NA><NA><NA><NA><NA>N0.0<NA><NA><NA>
231100003110000-109-1993-0014519931210<NA>3폐업2폐업19990710<NA><NA><NA>02037353830.0122915서울특별시 은평구 응암동 244-224<NA><NA>대성라이즈2001-09-28 00:00:00I2018-08-31 23:59:59.0식품소분업<NA><NA>식품소분업10주택가주변기타상수도전용<NA><NA><NA><NA><NA><NA><NA><NA>N0.0<NA><NA><NA>
331100003110000-109-1994-0014619940121<NA>3폐업2폐업19990710<NA><NA><NA>02 38977060.0122899서울특별시 은평구 역촌동 36-39<NA><NA>동로유통2001-09-28 00:00:00I2018-08-31 23:59:59.0식품소분업192535.197425455460.38945식품소분업10주택가주변기타<NA><NA><NA><NA><NA><NA><NA><NA><NA>N0.0<NA><NA><NA>
431100003110000-109-1994-0014719941201<NA>1영업/정상1영업<NA><NA><NA><NA>02 376810022.0122952서울특별시 은평구 응암동 746-1서울특별시 은평구 가좌로7길 9, 지상1층 가호 (응암동)3481(주)원풍약품상사2014-04-10 15:32:28I2018-08-31 23:59:59.0식품소분업192887.616424453804.182761식품소분업2<NA>주택가주변자율상수도전용<NA><NA><NA><NA><NA><NA><NA><NA>N0.0<NA><NA><NA>
531100003110000-109-1996-0013419960302<NA>3폐업2폐업19970519<NA><NA><NA>02 353279315.18122050서울특별시 은평구 갈현동 382 갈현A상가 지층동<NA><NA>청보식품2001-09-28 00:00:00I2018-08-31 23:59:59.0식품소분업<NA><NA>식품소분업2<NA>주택가주변기타상수도전용<NA><NA><NA><NA><NA><NA><NA><NA>N0.0<NA><NA><NA>
631100003110000-109-1996-0013519961109<NA>3폐업2폐업19961109<NA><NA><NA>02 359557449.4122906서울특별시 은평구 응암동 73-8<NA><NA>합동물산2001-09-28 00:00:00I2018-08-31 23:59:59.0식품소분업193768.054867455336.630225식품소분업<NA><NA>주택가주변자율상수도전용<NA><NA><NA><NA><NA><NA><NA><NA>N0.0<NA><NA><NA>
731100003110000-109-1996-0013619961113<NA>3폐업2폐업19990514<NA><NA><NA>02 916794841.28122906서울특별시 은평구 응암동 73-8<NA><NA>합동물산2001-09-28 00:00:00I2018-08-31 23:59:59.0식품소분업193768.054867455336.630225식품소분업12주택가주변자율상수도전용<NA><NA><NA><NA><NA><NA><NA><NA>N0.0<NA><NA><NA>
831100003110000-109-1996-0013719961231<NA>3폐업2폐업19991230<NA><NA><NA>0259.36122882서울특별시 은평구 신사동 23-7<NA><NA>대우농산2001-09-28 00:00:00I2018-08-31 23:59:59.0식품소분업192442.007269455089.00209식품소분업13주택가주변자율상수도전용<NA><NA><NA><NA><NA><NA><NA><NA>N0.0<NA><NA><NA>
931100003110000-109-1996-0014819961205<NA>3폐업2폐업19961205<NA><NA><NA>02 383064035.1122902서울특별시 은평구 역촌동 75-6<NA><NA>맥상사2001-09-28 00:00:00I2018-08-31 23:59:59.0식품소분업191839.900891455752.946193식품소분업22주택가주변우수상수도전용<NA><NA><NA><NA><NA><NA><NA><NA>N0.0<NA><NA><NA>
개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)위생업태명남성종사자수여성종사자수영업장주변구분명등급구분명급수시설구분명총인원본사종업원수공장사무직종업원수공장판매직종업원수공장생산직종업원수건물소유구분명보증액월세액다중이용업소여부시설총규모전통업소지정번호전통업소주된음식홈페이지
18331100003110000-109-2022-0000720220722<NA>1영업/정상1영업<NA><NA><NA><NA><NA>45.0122200서울특별시 은평구 진관동 81 은평뉴타운 우물골서울특별시 은평구 진관2로 57-7, 252동 지하1층 상가B101호 (진관동, 은평뉴타운 우물골)3306뻥튀기 공작소 은평뉴타운점2022-07-22 10:28:05I2021-12-06 22:04:00.0식품소분업193202.911899459204.649423<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
18431100003110000-109-2022-000082022-10-17<NA>3폐업2폐업2023-07-20<NA><NA><NA>02 304051231.95122-941서울특별시 은평구 증산동 213-20 DMC센트럴자이서울특별시 은평구 수색로 200, 4BL동 123호 (증산동, DMC센트럴자이)3505제주점빵2023-07-20 11:09:09U2022-12-06 22:02:00.0식품소분업191337.273259453194.537663<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
18531100003110000-109-2022-0000920221202<NA>1영업/정상1영업<NA><NA><NA><NA><NA>36.36122802서울특별시 은평구 갈현동 241-46서울특별시 은평구 갈현로29길 43, 1층 102호 (갈현동)3322서울 안주킹2022-12-02 11:16:12I2021-11-02 00:04:00.0식품소분업192142.807019457696.784215<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
18631100003110000-109-2022-000102022-12-16<NA>3폐업2폐업2023-05-09<NA><NA><NA><NA>6.0122-835서울특별시 은평구 녹번동 193서울특별시 은평구 은평로 193-2, 2층 (녹번동)3384우진2023-05-09 10:35:55U2022-12-04 23:01:00.0식품소분업193654.378126455534.538698<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
18731100003110000-109-2022-0001120221219<NA>1영업/정상1영업<NA><NA><NA><NA><NA>10.0122842서울특별시 은평구 대조동 187-46 지하1층,지상1층서울특별시 은평구 통일로 807, 지하1~지상1층 (대조동)3385cafe bitt 카페 빛2022-12-19 16:57:45I2021-11-01 22:01:00.0식품소분업193214.801148457068.215689<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
18831100003110000-109-2023-000012023-04-10<NA>3폐업2폐업2024-03-08<NA><NA><NA><NA>10.5122-801서울특별시 은평구 갈현동 110-11 대건빌딩서울특별시 은평구 연서로27길 25, 대건빌딩 4층 일부호 (갈현동)3332에스제이(SJ)2024-03-08 11:15:18U2023-12-02 23:00:00.0식품소분업192584.230076457338.884737<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
18931100003110000-109-2023-000022023-05-19<NA>1영업/정상1영업<NA><NA><NA><NA><NA>5.0122-891서울특별시 은평구 신사동 341-7서울특별시 은평구 증산로15가길 9, 1층 상가호 (신사동)3448한들2023-05-19 10:27:30I2022-12-04 22:01:00.0식품소분업192135.73309454166.689942<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
19031100003110000-109-2023-000042023-12-21<NA>1영업/정상1영업<NA><NA><NA><NA>0704571522920.7122-837서울특별시 은평구 대조동 6-9서울특별시 은평구 통일로 739, 207호 (대조동)3396온채마켓2024-03-04 15:15:39I2023-12-03 00:06:00.0식품소분업193630.612534456543.824997<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
19131100003110000-109-2024-000012024-02-08<NA>1영업/정상1영업<NA><NA><NA><NA><NA>50.0122-200서울특별시 은평구 진관동 301 1층 A호서울특별시 은평구 북한산로 268, 1층 A호 (진관동)3307하하2024-02-14 00:00:00D2023-12-01 23:06:00.0식품소분업194591.869075461252.386824<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
19231100003110000-109-2024-000022024-03-25<NA>1영업/정상1영업<NA><NA><NA><NA>02 303568435.0122-883서울특별시 은평구 신사동 40-2 세민하이파크 B01호서울특별시 은평구 가좌로 319, 세민하이파크 B01호 (신사동)3441정화푸드2024-03-25 18:15:29I2023-12-02 22:07:00.0식품소분업191934.753647454846.656373<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>