Overview

Dataset statistics

Number of variables44
Number of observations419
Missing cells4339
Missing cells (%)23.5%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory154.4 KiB
Average record size in memory377.3 B

Variable types

Categorical20
Text6
DateTime4
Unsupported8
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
Author광진구
URLhttps://data.seoul.go.kr/dataList/OA-18406/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
업태구분명 has constant value ""Constant
영업장주변구분명 is highly imbalanced (63.2%)Imbalance
등급구분명 is highly imbalanced (60.4%)Imbalance
총인원 is highly imbalanced (68.3%)Imbalance
본사종업원수 is highly imbalanced (68.3%)Imbalance
공장사무직종업원수 is highly imbalanced (68.3%)Imbalance
공장판매직종업원수 is highly imbalanced (68.3%)Imbalance
공장생산직종업원수 is highly imbalanced (68.3%)Imbalance
보증액 is highly imbalanced (68.3%)Imbalance
월세액 is highly imbalanced (68.3%)Imbalance
다중이용업소여부 is highly imbalanced (92.3%)Imbalance
인허가취소일자 has 419 (100.0%) missing valuesMissing
폐업일자 has 122 (29.1%) missing valuesMissing
휴업시작일자 has 419 (100.0%) missing valuesMissing
휴업종료일자 has 419 (100.0%) missing valuesMissing
재개업일자 has 419 (100.0%) missing valuesMissing
전화번호 has 216 (51.6%) missing valuesMissing
소재지면적 has 231 (55.1%) missing valuesMissing
도로명주소 has 100 (23.9%) missing valuesMissing
도로명우편번호 has 102 (24.3%) missing valuesMissing
좌표정보(X) has 5 (1.2%) missing valuesMissing
좌표정보(Y) has 5 (1.2%) missing valuesMissing
건물소유구분명 has 419 (100.0%) missing valuesMissing
다중이용업소여부 has 103 (24.6%) missing valuesMissing
시설총규모 has 103 (24.6%) missing valuesMissing
전통업소지정번호 has 419 (100.0%) missing valuesMissing
전통업소주된음식 has 419 (100.0%) missing valuesMissing
홈페이지 has 419 (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
건물소유구분명 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
시설총규모 has 5 (1.2%) zerosZeros

Reproduction

Analysis started2024-05-11 06:46:33.109534
Analysis finished2024-05-11 06:46:34.155118
Duration1.05 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size3.4 KiB
3040000
419 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3040000
2nd row3040000
3rd row3040000
4th row3040000
5th row3040000

Common Values

ValueCountFrequency (%)
3040000 419
100.0%

Length

2024-05-11T15:46:34.243656image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:46:34.374767image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3040000 419
100.0%

관리번호
Text

UNIQUE 

Distinct419
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size3.4 KiB
2024-05-11T15:46:34.599443image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length22
Median length22
Mean length22
Min length22

Characters and Unicode

Total characters9218
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

Unique419 ?
Unique (%)100.0%

Sample

1st row3040000-121-1978-07224
2nd row3040000-121-1978-07225
3rd row3040000-121-1978-07226
4th row3040000-121-1982-00001
5th row3040000-121-1982-00002
ValueCountFrequency (%)
3040000-121-1978-07224 1
 
0.2%
3040000-121-2011-00005 1
 
0.2%
3040000-121-2016-00013 1
 
0.2%
3040000-121-2016-00012 1
 
0.2%
3040000-121-2016-00011 1
 
0.2%
3040000-121-2016-00010 1
 
0.2%
3040000-121-2016-00009 1
 
0.2%
3040000-121-2016-00008 1
 
0.2%
3040000-121-2016-00007 1
 
0.2%
3040000-121-2016-00006 1
 
0.2%
Other values (409) 409
97.6%
2024-05-11T15:46:35.003060image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 4129
44.8%
1 1304
 
14.1%
- 1257
 
13.6%
2 988
 
10.7%
3 511
 
5.5%
4 508
 
5.5%
9 187
 
2.0%
8 100
 
1.1%
7 87
 
0.9%
6 77
 
0.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 7961
86.4%
Dash Punctuation 1257
 
13.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 4129
51.9%
1 1304
 
16.4%
2 988
 
12.4%
3 511
 
6.4%
4 508
 
6.4%
9 187
 
2.3%
8 100
 
1.3%
7 87
 
1.1%
6 77
 
1.0%
5 70
 
0.9%
Dash Punctuation
ValueCountFrequency (%)
- 1257
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 9218
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 4129
44.8%
1 1304
 
14.1%
- 1257
 
13.6%
2 988
 
10.7%
3 511
 
5.5%
4 508
 
5.5%
9 187
 
2.0%
8 100
 
1.1%
7 87
 
0.9%
6 77
 
0.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 9218
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 4129
44.8%
1 1304
 
14.1%
- 1257
 
13.6%
2 988
 
10.7%
3 511
 
5.5%
4 508
 
5.5%
9 187
 
2.0%
8 100
 
1.1%
7 87
 
0.9%
6 77
 
0.8%

인허가일자
Date

Distinct401
Distinct (%)95.7%
Missing0
Missing (%)0.0%
Memory size3.4 KiB
Minimum1978-05-26 00:00:00
Maximum2024-04-26 00:00:00
2024-05-11T15:46:35.222578image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T15:46:35.410930image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing419
Missing (%)100.0%
Memory size3.8 KiB

영업상태코드
Categorical

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size3.4 KiB
3
297 
1
122 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
3 297
70.9%
1 122
29.1%

Length

2024-05-11T15:46:35.614545image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:46:35.805037image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 297
70.9%
1 122
29.1%

영업상태명
Categorical

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size3.4 KiB
폐업
297 
영업/정상
122 

Length

Max length5
Median length2
Mean length2.8735084
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 297
70.9%
영업/정상 122
29.1%

Length

2024-05-11T15:46:36.007190image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:46:36.207514image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 297
70.9%
영업/정상 122
29.1%

상세영업상태코드
Categorical

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size3.4 KiB
2
297 
1
122 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
2 297
70.9%
1 122
29.1%

Length

2024-05-11T15:46:36.548371image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:46:36.812111image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2 297
70.9%
1 122
29.1%

상세영업상태명
Categorical

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size3.4 KiB
폐업
297 
영업
122 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 297
70.9%
영업 122
29.1%

Length

2024-05-11T15:46:37.007954image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:46:37.179068image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 297
70.9%
영업 122
29.1%

폐업일자
Date

MISSING 

Distinct269
Distinct (%)90.6%
Missing122
Missing (%)29.1%
Memory size3.4 KiB
Minimum2005-12-12 00:00:00
Maximum2024-05-01 00:00:00
2024-05-11T15:46:37.376760image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T15:46:37.599403image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing419
Missing (%)100.0%
Memory size3.8 KiB

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing419
Missing (%)100.0%
Memory size3.8 KiB

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing419
Missing (%)100.0%
Memory size3.8 KiB

전화번호
Text

MISSING 

Distinct199
Distinct (%)98.0%
Missing216
Missing (%)51.6%
Memory size3.4 KiB
2024-05-11T15:46:38.003675image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length10
Mean length10.20197
Min length8

Characters and Unicode

Total characters2071
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

Unique195 ?
Unique (%)96.1%

Sample

1st row02 4504425
2nd row02 4448484
3rd row02 4445911
4th row02 4670762
5th row02 4575349
ValueCountFrequency (%)
02 149
39.8%
5000 2
 
0.5%
4651519 2
 
0.5%
7286011 2
 
0.5%
4670751 2
 
0.5%
450 2
 
0.5%
455 2
 
0.5%
498 2
 
0.5%
444 2
 
0.5%
031 2
 
0.5%
Other values (207) 207
55.3%
2024-05-11T15:46:38.847239image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 363
17.5%
2 333
16.1%
4 309
14.9%
191
9.2%
5 188
9.1%
3 129
 
6.2%
1 126
 
6.1%
6 125
 
6.0%
7 122
 
5.9%
9 98
 
4.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1880
90.8%
Space Separator 191
 
9.2%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 363
19.3%
2 333
17.7%
4 309
16.4%
5 188
10.0%
3 129
 
6.9%
1 126
 
6.7%
6 125
 
6.6%
7 122
 
6.5%
9 98
 
5.2%
8 87
 
4.6%
Space Separator
ValueCountFrequency (%)
191
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 2071
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 363
17.5%
2 333
16.1%
4 309
14.9%
191
9.2%
5 188
9.1%
3 129
 
6.2%
1 126
 
6.1%
6 125
 
6.0%
7 122
 
5.9%
9 98
 
4.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2071
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 363
17.5%
2 333
16.1%
4 309
14.9%
191
9.2%
5 188
9.1%
3 129
 
6.2%
1 126
 
6.1%
6 125
 
6.0%
7 122
 
5.9%
9 98
 
4.7%

소재지면적
Real number (ℝ)

MISSING 

Distinct155
Distinct (%)82.4%
Missing231
Missing (%)55.1%
Infinite0
Infinite (%)0.0%
Mean53.747766
Minimum0
Maximum392.07
Zeros2
Zeros (%)0.5%
Negative0
Negative (%)0.0%
Memory size3.8 KiB
2024-05-11T15:46:39.110630image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile6.9535
Q123
median38.615
Q367.32
95-th percentile149.708
Maximum392.07
Range392.07
Interquartile range (IQR)44.32

Descriptive statistics

Standard deviation51.722232
Coefficient of variation (CV)0.96231407
Kurtosis12.328202
Mean53.747766
Median Absolute Deviation (MAD)18.67
Skewness2.9597918
Sum10104.58
Variance2675.1892
MonotonicityNot monotonic
2024-05-11T15:46:39.341832image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20.0 5
 
1.2%
24.0 4
 
1.0%
19.8 4
 
1.0%
18.0 3
 
0.7%
6.6 3
 
0.7%
26.0 3
 
0.7%
4.0 3
 
0.7%
66.0 2
 
0.5%
79.0 2
 
0.5%
51.07 2
 
0.5%
Other values (145) 157
37.5%
(Missing) 231
55.1%
ValueCountFrequency (%)
0.0 2
0.5%
1.12 1
 
0.2%
4.0 3
0.7%
6.0 1
 
0.2%
6.6 3
0.7%
7.61 1
 
0.2%
11.7 1
 
0.2%
12.0 1
 
0.2%
12.08 1
 
0.2%
15.0 1
 
0.2%
ValueCountFrequency (%)
392.07 1
0.2%
271.6 1
0.2%
231.0 1
0.2%
224.79 1
0.2%
219.96 1
0.2%
217.2 1
0.2%
192.66 1
0.2%
178.0 1
0.2%
151.8 1
0.2%
150.8 1
0.2%

소재지우편번호
Text

Distinct124
Distinct (%)29.6%
Missing0
Missing (%)0.0%
Memory size3.4 KiB
2024-05-11T15:46:39.876016image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length6
Mean length6.1622912
Min length6

Characters and Unicode

Total characters2582
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

Unique46 ?
Unique (%)11.0%

Sample

1st row143800
2nd row143824
3rd row143848
4th row143901
5th row143865
ValueCountFrequency (%)
143758 26
 
6.2%
143914 25
 
6.0%
143888 11
 
2.6%
143841 10
 
2.4%
143867 10
 
2.4%
143200 10
 
2.4%
143826 9
 
2.1%
143903 9
 
2.1%
143900 9
 
2.1%
143866 9
 
2.1%
Other values (114) 291
69.5%
2024-05-11T15:46:40.704074image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 546
21.1%
4 522
20.2%
3 464
18.0%
8 359
13.9%
9 139
 
5.4%
0 125
 
4.8%
2 109
 
4.2%
7 92
 
3.6%
5 85
 
3.3%
6 73
 
2.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2514
97.4%
Dash Punctuation 68
 
2.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 546
21.7%
4 522
20.8%
3 464
18.5%
8 359
14.3%
9 139
 
5.5%
0 125
 
5.0%
2 109
 
4.3%
7 92
 
3.7%
5 85
 
3.4%
6 73
 
2.9%
Dash Punctuation
ValueCountFrequency (%)
- 68
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 2582
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
1 546
21.1%
4 522
20.2%
3 464
18.0%
8 359
13.9%
9 139
 
5.4%
0 125
 
4.8%
2 109
 
4.2%
7 92
 
3.6%
5 85
 
3.3%
6 73
 
2.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2582
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 546
21.1%
4 522
20.2%
3 464
18.0%
8 359
13.9%
9 139
 
5.4%
0 125
 
4.8%
2 109
 
4.2%
7 92
 
3.6%
5 85
 
3.3%
6 73
 
2.8%

지번주소
Text

Distinct402
Distinct (%)95.9%
Missing0
Missing (%)0.0%
Memory size3.4 KiB
2024-05-11T15:46:41.131561image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length51
Median length42
Mean length26.004773
Min length17

Characters and Unicode

Total characters10896
Distinct characters183
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique389 ?
Unique (%)92.8%

Sample

1st row서울특별시 광진구 광장동 21
2nd row서울특별시 광진구 구의동 236-25번지
3rd row서울특별시 광진구 능동 236-1
4th row서울특별시 광진구 중곡동 193-52번지
5th row서울특별시 광진구 자양동 606-9번지
ValueCountFrequency (%)
서울특별시 419
20.4%
광진구 419
20.4%
자양동 127
 
6.2%
1층 113
 
5.5%
중곡동 90
 
4.4%
구의동 85
 
4.1%
화양동 51
 
2.5%
광장동 34
 
1.7%
군자동 22
 
1.1%
227-342 12
 
0.6%
Other values (508) 684
33.3%
2024-05-11T15:46:41.794963image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1951
17.9%
1 551
 
5.1%
구 513
 
4.7%
광 463
 
4.2%
동 445
 
4.1%
시 434
 
4.0%
진 422
 
3.9%
서 420
 
3.9%
울 420
 
3.9%
특 419
 
3.8%
Other values (173) 4858
44.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 6193
56.8%
Decimal Number 2198
 
20.2%
Space Separator 1951
 
17.9%
Dash Punctuation 379
 
3.5%
Open Punctuation 64
 
0.6%
Close Punctuation 64
 
0.6%
Uppercase Letter 30
 
0.3%
Other Punctuation 16
 
0.1%
Letter Number 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 513
 
8.3%
광 463
 
7.5%
동 445
 
7.2%
시 434
 
7.0%
진 422
 
6.8%
서 420
 
6.8%
울 420
 
6.8%
특 419
 
6.8%
별 419
 
6.8%
지 309
 
5.0%
Other values (144) 1929
31.1%
Uppercase Letter
ValueCountFrequency (%)
B 8
26.7%
A 5
16.7%
T 3
 
10.0%
P 3
 
10.0%
C 3
 
10.0%
K 2
 
6.7%
S 2
 
6.7%
L 1
 
3.3%
Z 1
 
3.3%
D 1
 
3.3%
Decimal Number
ValueCountFrequency (%)
1 551
25.1%
2 378
17.2%
3 206
 
9.4%
5 195
 
8.9%
4 191
 
8.7%
6 175
 
8.0%
0 165
 
7.5%
7 156
 
7.1%
8 99
 
4.5%
9 82
 
3.7%
Other Punctuation
ValueCountFrequency (%)
, 14
87.5%
? 1
 
6.2%
/ 1
 
6.2%
Space Separator
ValueCountFrequency (%)
1951
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 379
100.0%
Open Punctuation
ValueCountFrequency (%)
( 64
100.0%
Close Punctuation
ValueCountFrequency (%)
) 64
100.0%
Letter Number
ValueCountFrequency (%)
Ⅱ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 6193
56.8%
Common 4672
42.9%
Latin 31
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 513
 
8.3%
광 463
 
7.5%
동 445
 
7.2%
시 434
 
7.0%
진 422
 
6.8%
서 420
 
6.8%
울 420
 
6.8%
특 419
 
6.8%
별 419
 
6.8%
지 309
 
5.0%
Other values (144) 1929
31.1%
Common
ValueCountFrequency (%)
1951
41.8%
1 551
 
11.8%
- 379
 
8.1%
2 378
 
8.1%
3 206
 
4.4%
5 195
 
4.2%
4 191
 
4.1%
6 175
 
3.7%
0 165
 
3.5%
7 156
 
3.3%
Other values (7) 325
 
7.0%
Latin
ValueCountFrequency (%)
B 8
25.8%
A 5
16.1%
T 3
 
9.7%
P 3
 
9.7%
C 3
 
9.7%
K 2
 
6.5%
S 2
 
6.5%
L 1
 
3.2%
Z 1
 
3.2%
Ⅱ 1
 
3.2%
Other values (2) 2
 
6.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 6193
56.8%
ASCII 4702
43.2%
Number Forms 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1951
41.5%
1 551
 
11.7%
- 379
 
8.1%
2 378
 
8.0%
3 206
 
4.4%
5 195
 
4.1%
4 191
 
4.1%
6 175
 
3.7%
0 165
 
3.5%
7 156
 
3.3%
Other values (18) 355
 
7.5%
Hangul
ValueCountFrequency (%)
구 513
 
8.3%
광 463
 
7.5%
동 445
 
7.2%
시 434
 
7.0%
진 422
 
6.8%
서 420
 
6.8%
울 420
 
6.8%
특 419
 
6.8%
별 419
 
6.8%
지 309
 
5.0%
Other values (144) 1929
31.1%
Number Forms
ValueCountFrequency (%)
Ⅱ 1
100.0%

도로명주소
Text

MISSING 

Distinct299
Distinct (%)93.7%
Missing100
Missing (%)23.9%
Memory size3.4 KiB
2024-05-11T15:46:42.196443image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length55
Median length49
Mean length31.45768
Min length22

Characters and Unicode

Total characters10035
Distinct characters178
Distinct categories11 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique289 ?
Unique (%)90.6%

Sample

1st row서울특별시 광진구 워커힐로 177 (광장동)
2nd row서울특별시 광진구 천호대로 576 (능동)
3rd row서울특별시 광진구 면목로 132-1 (중곡동)
4th row서울특별시 광진구 능동로 338-1 (중곡동)
5th row서울특별시 광진구 자양로 49 (자양동)
ValueCountFrequency (%)
서울특별시 319
 
16.1%
광진구 319
 
16.1%
1층 140
 
7.0%
자양동 81
 
4.1%
능동로 57
 
2.9%
중곡동 51
 
2.6%
구의동 49
 
2.5%
화양동 40
 
2.0%
아차산로 38
 
1.9%
광장동 24
 
1.2%
Other values (445) 868
43.7%
2024-05-11T15:46:42.883955image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1676
 
16.7%
1 499
 
5.0%
동 439
 
4.4%
구 393
 
3.9%
광 389
 
3.9%
( 354
 
3.5%
) 354
 
3.5%
시 333
 
3.3%
서 321
 
3.2%
진 321
 
3.2%
Other values (168) 4956
49.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 5715
57.0%
Space Separator 1676
 
16.7%
Decimal Number 1579
 
15.7%
Open Punctuation 354
 
3.5%
Close Punctuation 354
 
3.5%
Other Punctuation 296
 
2.9%
Dash Punctuation 33
 
0.3%
Uppercase Letter 23
 
0.2%
Math Symbol 3
 
< 0.1%
Letter Number 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 439
 
7.7%
구 393
 
6.9%
광 389
 
6.8%
시 333
 
5.8%
서 321
 
5.6%
진 321
 
5.6%
울 320
 
5.6%
로 319
 
5.6%
별 319
 
5.6%
특 319
 
5.6%
Other values (140) 2242
39.2%
Decimal Number
ValueCountFrequency (%)
1 499
31.6%
2 207
13.1%
0 159
 
10.1%
3 134
 
8.5%
5 133
 
8.4%
7 116
 
7.3%
4 110
 
7.0%
6 92
 
5.8%
9 73
 
4.6%
8 56
 
3.5%
Uppercase Letter
ValueCountFrequency (%)
B 7
30.4%
A 5
21.7%
C 4
17.4%
S 2
 
8.7%
D 1
 
4.3%
P 1
 
4.3%
L 1
 
4.3%
Z 1
 
4.3%
K 1
 
4.3%
Other Punctuation
ValueCountFrequency (%)
, 295
99.7%
? 1
 
0.3%
Space Separator
ValueCountFrequency (%)
1676
100.0%
Open Punctuation
ValueCountFrequency (%)
( 354
100.0%
Close Punctuation
ValueCountFrequency (%)
) 354
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 33
100.0%
Math Symbol
ValueCountFrequency (%)
~ 3
100.0%
Letter Number
ValueCountFrequency (%)
Ⅱ 1
100.0%
Lowercase Letter
ValueCountFrequency (%)
b 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 5715
57.0%
Common 4295
42.8%
Latin 25
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 439
 
7.7%
구 393
 
6.9%
광 389
 
6.8%
시 333
 
5.8%
서 321
 
5.6%
진 321
 
5.6%
울 320
 
5.6%
로 319
 
5.6%
별 319
 
5.6%
특 319
 
5.6%
Other values (140) 2242
39.2%
Common
ValueCountFrequency (%)
1676
39.0%
1 499
 
11.6%
( 354
 
8.2%
) 354
 
8.2%
, 295
 
6.9%
2 207
 
4.8%
0 159
 
3.7%
3 134
 
3.1%
5 133
 
3.1%
7 116
 
2.7%
Other values (7) 368
 
8.6%
Latin
ValueCountFrequency (%)
B 7
28.0%
A 5
20.0%
C 4
16.0%
S 2
 
8.0%
D 1
 
4.0%
Ⅱ 1
 
4.0%
b 1
 
4.0%
P 1
 
4.0%
L 1
 
4.0%
Z 1
 
4.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 5715
57.0%
ASCII 4319
43.0%
Number Forms 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1676
38.8%
1 499
 
11.6%
( 354
 
8.2%
) 354
 
8.2%
, 295
 
6.8%
2 207
 
4.8%
0 159
 
3.7%
3 134
 
3.1%
5 133
 
3.1%
7 116
 
2.7%
Other values (17) 392
 
9.1%
Hangul
ValueCountFrequency (%)
동 439
 
7.7%
구 393
 
6.9%
광 389
 
6.8%
시 333
 
5.8%
서 321
 
5.6%
진 321
 
5.6%
울 320
 
5.6%
로 319
 
5.6%
별 319
 
5.6%
특 319
 
5.6%
Other values (140) 2242
39.2%
Number Forms
ValueCountFrequency (%)
Ⅱ 1
100.0%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct121
Distinct (%)38.2%
Missing102
Missing (%)24.3%
Infinite0
Infinite (%)0.0%
Mean5016.0599
Minimum4903
Maximum5119
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.8 KiB
2024-05-11T15:46:43.127433image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum4903
5-th percentile4909.8
Q14968
median5018
Q35065
95-th percentile5112.2
Maximum5119
Range216
Interquartile range (IQR)97

Descriptive statistics

Standard deviation59.293943
Coefficient of variation (CV)0.01182082
Kurtosis-0.96063331
Mean5016.0599
Median Absolute Deviation (MAD)47
Skewness-0.20195646
Sum1590091
Variance3515.7717
MonotonicityNot monotonic
2024-05-11T15:46:43.331571image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
5065 26
 
6.2%
4983 11
 
2.6%
5030 9
 
2.1%
5116 9
 
2.1%
4974 7
 
1.7%
5017 7
 
1.7%
5009 7
 
1.7%
4953 6
 
1.4%
4908 6
 
1.4%
4954 6
 
1.4%
Other values (111) 223
53.2%
(Missing) 102
24.3%
ValueCountFrequency (%)
4903 1
 
0.2%
4904 1
 
0.2%
4905 1
 
0.2%
4906 2
 
0.5%
4907 1
 
0.2%
4908 6
1.4%
4909 4
1.0%
4910 2
 
0.5%
4911 1
 
0.2%
4912 1
 
0.2%
ValueCountFrequency (%)
5119 2
 
0.5%
5118 1
 
0.2%
5117 3
 
0.7%
5116 9
2.1%
5113 1
 
0.2%
5112 1
 
0.2%
5103 1
 
0.2%
5101 3
 
0.7%
5100 1
 
0.2%
5099 3
 
0.7%

사업장명
Text

Distinct387
Distinct (%)92.4%
Missing0
Missing (%)0.0%
Memory size3.4 KiB
2024-05-11T15:46:43.720857image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length24
Median length20
Mean length7.9976134
Min length2

Characters and Unicode

Total characters3351
Distinct characters399
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

Unique364 ?
Unique (%)86.9%

Sample

1st row워커힐델리
2nd row아미띠에베이커리
3rd row백합베이커리
4th row상떼
5th row아도레과자점
ValueCountFrequency (%)
뚜레쥬르 12
 
2.3%
파리바게뜨 10
 
2.0%
브레댄코 6
 
1.2%
중곡점 4
 
0.8%
케익하우스 4
 
0.8%
건대입구역점 4
 
0.8%
주)신세계푸드베이커리(자양점 4
 
0.8%
광장점 3
 
0.6%
자양점 3
 
0.6%
데이앤데이 3
 
0.6%
Other values (418) 458
89.6%
2024-05-11T15:46:44.398673image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
점 152
 
4.5%
리 132
 
3.9%
이 107
 
3.2%
92
 
2.7%
) 89
 
2.7%
( 85
 
2.5%
레 73
 
2.2%
베 64
 
1.9%
커 58
 
1.7%
스 55
 
1.6%
Other values (389) 2444
72.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2755
82.2%
Lowercase Letter 222
 
6.6%
Space Separator 92
 
2.7%
Close Punctuation 89
 
2.7%
Open Punctuation 85
 
2.5%
Uppercase Letter 70
 
2.1%
Decimal Number 24
 
0.7%
Other Punctuation 13
 
0.4%
Dash Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
점 152
 
5.5%
리 132
 
4.8%
이 107
 
3.9%
레 73
 
2.6%
베 64
 
2.3%
커 58
 
2.1%
스 55
 
2.0%
르 52
 
1.9%
자 49
 
1.8%
빵 47
 
1.7%
Other values (330) 1966
71.4%
Uppercase Letter
ValueCountFrequency (%)
B 10
14.3%
S 7
 
10.0%
M 6
 
8.6%
G 4
 
5.7%
R 4
 
5.7%
P 4
 
5.7%
D 3
 
4.3%
O 3
 
4.3%
T 3
 
4.3%
C 3
 
4.3%
Other values (13) 23
32.9%
Lowercase Letter
ValueCountFrequency (%)
e 31
14.0%
a 26
11.7%
o 19
 
8.6%
r 18
 
8.1%
n 15
 
6.8%
b 14
 
6.3%
u 13
 
5.9%
k 11
 
5.0%
i 11
 
5.0%
h 10
 
4.5%
Other values (11) 54
24.3%
Decimal Number
ValueCountFrequency (%)
9 6
25.0%
2 6
25.0%
3 4
16.7%
5 3
12.5%
1 3
12.5%
0 2
 
8.3%
Other Punctuation
ValueCountFrequency (%)
. 5
38.5%
? 4
30.8%
& 2
 
15.4%
# 1
 
7.7%
, 1
 
7.7%
Space Separator
ValueCountFrequency (%)
92
100.0%
Close Punctuation
ValueCountFrequency (%)
) 89
100.0%
Open Punctuation
ValueCountFrequency (%)
( 85
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2755
82.2%
Common 304
 
9.1%
Latin 292
 
8.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
점 152
 
5.5%
리 132
 
4.8%
이 107
 
3.9%
레 73
 
2.6%
베 64
 
2.3%
커 58
 
2.1%
스 55
 
2.0%
르 52
 
1.9%
자 49
 
1.8%
빵 47
 
1.7%
Other values (330) 1966
71.4%
Latin
ValueCountFrequency (%)
e 31
 
10.6%
a 26
 
8.9%
o 19
 
6.5%
r 18
 
6.2%
n 15
 
5.1%
b 14
 
4.8%
u 13
 
4.5%
k 11
 
3.8%
i 11
 
3.8%
B 10
 
3.4%
Other values (34) 124
42.5%
Common
ValueCountFrequency (%)
92
30.3%
) 89
29.3%
( 85
28.0%
9 6
 
2.0%
2 6
 
2.0%
. 5
 
1.6%
? 4
 
1.3%
3 4
 
1.3%
5 3
 
1.0%
1 3
 
1.0%
Other values (5) 7
 
2.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2755
82.2%
ASCII 596
 
17.8%

Most frequent character per block

Hangul
ValueCountFrequency (%)
점 152
 
5.5%
리 132
 
4.8%
이 107
 
3.9%
레 73
 
2.6%
베 64
 
2.3%
커 58
 
2.1%
스 55
 
2.0%
르 52
 
1.9%
자 49
 
1.8%
빵 47
 
1.7%
Other values (330) 1966
71.4%
ASCII
ValueCountFrequency (%)
92
15.4%
) 89
14.9%
( 85
14.3%
e 31
 
5.2%
a 26
 
4.4%
o 19
 
3.2%
r 18
 
3.0%
n 15
 
2.5%
b 14
 
2.3%
u 13
 
2.2%
Other values (49) 194
32.6%

최종수정일자
Date

Distinct401
Distinct (%)95.7%
Missing0
Missing (%)0.0%
Memory size3.4 KiB
Minimum2002-07-23 00:00:00
Maximum2024-05-01 10:19:42
2024-05-11T15:46:44.642386image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T15:46:44.924525image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

데이터갱신구분
Categorical

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size3.4 KiB
I
267 
U
152 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
I 267
63.7%
U 152
36.3%

Length

2024-05-11T15:46:45.317308image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:46:45.830644image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 267
63.7%
u 152
36.3%

데이터갱신일자
Date

Distinct167
Distinct (%)39.9%
Missing0
Missing (%)0.0%
Memory size3.4 KiB
Minimum2018-08-31 23:59:59
Maximum2023-12-05 00:04:00
2024-05-11T15:46:45.998079image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T15:46:46.205486image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업태구분명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size3.4 KiB
제과점영업
419 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
제과점영업 419
100.0%

Length

2024-05-11T15:46:46.400049image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:46:46.524700image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
제과점영업 419
100.0%

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct303
Distinct (%)73.2%
Missing5
Missing (%)1.2%
Infinite0
Infinite (%)0.0%
Mean207146.81
Minimum205552.62
Maximum209766.97
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.8 KiB
2024-05-11T15:46:46.682438image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum205552.62
5-th percentile205843.86
Q1206241.82
median207160.19
Q3207796.49
95-th percentile208729.17
Maximum209766.97
Range4214.3534
Interquartile range (IQR)1554.6655

Descriptive statistics

Standard deviation937.98384
Coefficient of variation (CV)0.0045281114
Kurtosis-0.54434885
Mean207146.81
Median Absolute Deviation (MAD)810.51444
Skewness0.36789697
Sum85758781
Variance879813.69
MonotonicityNot monotonic
2024-05-11T15:46:46.861061image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
206217.434726027 19
 
4.5%
208394.416382167 13
 
3.1%
206349.675048285 12
 
2.9%
208729.170395929 7
 
1.7%
206241.82019349 7
 
1.7%
206031.196548172 5
 
1.2%
206107.775163579 5
 
1.2%
209766.973555533 4
 
1.0%
207587.346588142 3
 
0.7%
207642.731145365 3
 
0.7%
Other values (293) 336
80.2%
(Missing) 5
 
1.2%
ValueCountFrequency (%)
205552.620109015 1
0.2%
205552.853816588 1
0.2%
205568.680105199 1
0.2%
205576.958405084 1
0.2%
205632.848121685 1
0.2%
205642.888115746 1
0.2%
205652.085470948 1
0.2%
205663.081069121 1
0.2%
205695.74632433 1
0.2%
205700.879155221 1
0.2%
ValueCountFrequency (%)
209766.973555533 4
1.0%
209375.068351656 1
 
0.2%
209345.941766315 1
 
0.2%
209341.275690384 1
 
0.2%
209263.0943967 1
 
0.2%
209201.613111512 1
 
0.2%
209107.737007564 1
 
0.2%
209085.122726965 1
 
0.2%
209077.210112827 1
 
0.2%
209033.339549292 1
 
0.2%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct303
Distinct (%)73.2%
Missing5
Missing (%)1.2%
Infinite0
Infinite (%)0.0%
Mean449244.16
Minimum447492.76
Maximum451991.9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.8 KiB
2024-05-11T15:46:47.070521image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum447492.76
5-th percentile447814.93
Q1448398.05
median448901.12
Q3450199.61
95-th percentile451346.64
Maximum451991.9
Range4499.1435
Interquartile range (IQR)1801.5616

Descriptive statistics

Standard deviation1121.1685
Coefficient of variation (CV)0.0024956773
Kurtosis-0.67413416
Mean449244.16
Median Absolute Deviation (MAD)717.20873
Skewness0.66872141
Sum1.8598708 × 108
Variance1257018.7
MonotonicityNot monotonic
2024-05-11T15:46:47.253012image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
448506.218743834 19
 
4.5%
448165.279999905 13
 
3.1%
448396.939704285 12
 
2.9%
448995.808404463 7
 
1.7%
448715.06998929 7
 
1.7%
448731.099217371 5
 
1.2%
449029.342177779 5
 
1.2%
450385.000713887 4
 
1.0%
450767.411709965 3
 
0.7%
450592.689011536 3
 
0.7%
Other values (293) 336
80.2%
(Missing) 5
 
1.2%
ValueCountFrequency (%)
447492.756850723 2
0.5%
447629.625900298 1
 
0.2%
447676.098948209 1
 
0.2%
447698.605234605 1
 
0.2%
447705.917414825 1
 
0.2%
447707.434336975 1
 
0.2%
447716.245280942 2
0.5%
447740.595068393 1
 
0.2%
447745.557839831 1
 
0.2%
447746.148874413 3
0.7%
ValueCountFrequency (%)
451991.900378929 1
0.2%
451845.601747007 1
0.2%
451828.703363483 1
0.2%
451823.918998571 1
0.2%
451819.638034393 1
0.2%
451780.001328 1
0.2%
451745.020107406 1
0.2%
451712.525953126 1
0.2%
451669.375304565 1
0.2%
451594.137048836 1
0.2%

위생업태명
Categorical

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size3.4 KiB
제과점영업
316 
<NA>
103 

Length

Max length5
Median length5
Mean length4.7541766
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
제과점영업 316
75.4%
<NA> 103
 
24.6%

Length

2024-05-11T15:46:47.488130image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:46:47.646571image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
제과점영업 316
75.4%
na 103
 
24.6%

남성종사자수
Categorical

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size3.4 KiB
<NA>
296 
0
123 

Length

Max length4
Median length4
Mean length3.1193317
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 296
70.6%
0 123
29.4%

Length

2024-05-11T15:46:47.787356image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:46:47.933428image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 296
70.6%
0 123
29.4%

여성종사자수
Categorical

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size3.4 KiB
<NA>
304 
0
115 

Length

Max length4
Median length4
Mean length3.176611
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 304
72.6%
0 115
 
27.4%

Length

2024-05-11T15:46:48.102200image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:46:48.275379image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 304
72.6%
0 115
 
27.4%

영업장주변구분명
Categorical

IMBALANCE 

Distinct6
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Memory size3.4 KiB
<NA>
344 
주택가주변
42 
기타
 
22
아파트지역
 
9
유흥업소밀집지역
 
1

Length

Max length8
Median length4
Mean length4.0357995
Min length2

Unique

Unique2 ?
Unique (%)0.5%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 344
82.1%
주택가주변 42
 
10.0%
기타 22
 
5.3%
아파트지역 9
 
2.1%
유흥업소밀집지역 1
 
0.2%
학교정화(절대) 1
 
0.2%

Length

2024-05-11T15:46:48.458235image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:46:48.648830image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 344
82.1%
주택가주변 42
 
10.0%
기타 22
 
5.3%
아파트지역 9
 
2.1%
유흥업소밀집지역 1
 
0.2%
학교정화(절대 1
 
0.2%

등급구분명
Categorical

IMBALANCE 

Distinct4
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size3.4 KiB
<NA>
352 
기타
50 
을
 
14
갑
 
3

Length

Max length4
Median length4
Mean length3.6396181
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 352
84.0%
기타 50
 
11.9%
을 14
 
3.3%
갑 3
 
0.7%

Length

2024-05-11T15:46:48.888683image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:46:49.044791image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 352
84.0%
기타 50
 
11.9%
을 14
 
3.3%
갑 3
 
0.7%

급수시설구분명
Categorical

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size3.4 KiB
<NA>
267 
상수도전용
152 

Length

Max length5
Median length4
Mean length4.3627685
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 267
63.7%
상수도전용 152
36.3%

Length

2024-05-11T15:46:49.228524image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:46:49.389588image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 267
63.7%
상수도전용 152
36.3%

총인원
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size3.4 KiB
<NA>
395 
0
 
24

Length

Max length4
Median length4
Mean length3.8281623
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> 395
94.3%
0 24
 
5.7%

Length

2024-05-11T15:46:49.572799image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:46:49.786154image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 395
94.3%
0 24
 
5.7%

본사종업원수
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size3.4 KiB
<NA>
395 
0
 
24

Length

Max length4
Median length4
Mean length3.8281623
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> 395
94.3%
0 24
 
5.7%

Length

2024-05-11T15:46:50.001421image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:46:50.164716image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 395
94.3%
0 24
 
5.7%

공장사무직종업원수
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size3.4 KiB
<NA>
395 
0
 
24

Length

Max length4
Median length4
Mean length3.8281623
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> 395
94.3%
0 24
 
5.7%

Length

2024-05-11T15:46:50.327522image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:46:50.499933image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 395
94.3%
0 24
 
5.7%

공장판매직종업원수
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size3.4 KiB
<NA>
395 
0
 
24

Length

Max length4
Median length4
Mean length3.8281623
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> 395
94.3%
0 24
 
5.7%

Length

2024-05-11T15:46:50.676219image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:46:50.851823image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 395
94.3%
0 24
 
5.7%

공장생산직종업원수
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size3.4 KiB
<NA>
395 
0
 
24

Length

Max length4
Median length4
Mean length3.8281623
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> 395
94.3%
0 24
 
5.7%

Length

2024-05-11T15:46:51.049221image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:46:51.245078image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 395
94.3%
0 24
 
5.7%

건물소유구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing419
Missing (%)100.0%
Memory size3.8 KiB

보증액
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size3.4 KiB
<NA>
395 
0
 
24

Length

Max length4
Median length4
Mean length3.8281623
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> 395
94.3%
0 24
 
5.7%

Length

2024-05-11T15:46:51.446969image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:46:51.638984image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 395
94.3%
0 24
 
5.7%

월세액
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size3.4 KiB
<NA>
395 
0
 
24

Length

Max length4
Median length4
Mean length3.8281623
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> 395
94.3%
0 24
 
5.7%

Length

2024-05-11T15:46:51.845423image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:46:52.118692image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 395
94.3%
0 24
 
5.7%

다중이용업소여부
Boolean

IMBALANCE  MISSING 

Distinct2
Distinct (%)0.6%
Missing103
Missing (%)24.6%
Memory size970.0 B
False
313 
True
 
3
(Missing)
103 
ValueCountFrequency (%)
False 313
74.7%
True 3
 
0.7%
(Missing) 103
 
24.6%
2024-05-11T15:46:52.267451image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

시설총규모
Real number (ℝ)

MISSING  ZEROS 

Distinct260
Distinct (%)82.3%
Missing103
Missing (%)24.6%
Infinite0
Infinite (%)0.0%
Mean44.761203
Minimum0
Maximum271.6
Zeros5
Zeros (%)1.2%
Negative0
Negative (%)0.0%
Memory size3.8 KiB
2024-05-11T15:46:52.462826image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile7.32
Q122.9275
median33.61
Q356.05
95-th percentile106.55
Maximum271.6
Range271.6
Interquartile range (IQR)33.1225

Descriptive statistics

Standard deviation38.641834
Coefficient of variation (CV)0.86328856
Kurtosis9.5739148
Mean44.761203
Median Absolute Deviation (MAD)13.6
Skewness2.6938421
Sum14144.54
Variance1493.1913
MonotonicityNot monotonic
2024-05-11T15:46:52.679711image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20.0 7
 
1.7%
33.0 6
 
1.4%
0.0 5
 
1.2%
30.0 5
 
1.2%
39.6 5
 
1.2%
6.6 5
 
1.2%
36.3 4
 
1.0%
9.9 3
 
0.7%
29.1 3
 
0.7%
26.4 3
 
0.7%
Other values (250) 270
64.4%
(Missing) 103
 
24.6%
ValueCountFrequency (%)
0.0 5
1.2%
1.12 1
 
0.2%
1.82 1
 
0.2%
3.1 1
 
0.2%
4.0 1
 
0.2%
5.4 1
 
0.2%
6.0 1
 
0.2%
6.6 5
1.2%
7.56 1
 
0.2%
7.61 1
 
0.2%
ValueCountFrequency (%)
271.6 1
0.2%
231.0 1
0.2%
224.79 1
0.2%
212.0 1
0.2%
205.7 1
0.2%
201.0 1
0.2%
192.66 1
0.2%
178.0 1
0.2%
167.0 1
0.2%
158.08 1
0.2%

전통업소지정번호
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing419
Missing (%)100.0%
Memory size3.8 KiB

전통업소주된음식
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing419
Missing (%)100.0%
Memory size3.8 KiB

홈페이지
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing419
Missing (%)100.0%
Memory size3.8 KiB

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)위생업태명남성종사자수여성종사자수영업장주변구분명등급구분명급수시설구분명총인원본사종업원수공장사무직종업원수공장판매직종업원수공장생산직종업원수건물소유구분명보증액월세액다중이용업소여부시설총규모전통업소지정번호전통업소주된음식홈페이지
030400003040000-121-1978-0722419781018<NA>3폐업2폐업20201223<NA><NA><NA>02 4504425271.6143800서울특별시 광진구 광장동 21서울특별시 광진구 워커힐로 177 (광장동)4963워커힐델리2020-12-23 15:45:29U2020-12-25 02:40:00.0제과점영업209766.973556450385.000714제과점영업00기타기타상수도전용<NA><NA><NA><NA><NA><NA><NA><NA>N271.6<NA><NA><NA>
130400003040000-121-1978-0722519780526<NA>3폐업2폐업20090612<NA><NA><NA>02 4448484<NA>143824서울특별시 광진구 구의동 236-25번지<NA><NA>아미띠에베이커리2004-09-01 00:00:00I2018-08-31 23:59:59.0제과점영업207412.919254448968.677713제과점영업00주택가주변갑상수도전용<NA><NA><NA><NA><NA><NA><NA><NA>N47.72<NA><NA><NA>
230400003040000-121-1978-0722619781006<NA>3폐업2폐업20221004<NA><NA><NA>02 444591174.5143848서울특별시 광진구 능동 236-1서울특별시 광진구 천호대로 576 (능동)4986백합베이커리2022-10-04 12:01:13U2021-10-31 00:06:00.0제과점영업207160.189487450403.116877<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
330400003040000-121-1982-0000119821103<NA>1영업/정상1영업<NA><NA><NA><NA>02 4670762<NA>143901서울특별시 광진구 중곡동 193-52번지서울특별시 광진구 면목로 132-1 (중곡동)4908상떼2016-10-18 11:48:06I2018-08-31 23:59:59.0제과점영업207087.844873451428.393141제과점영업0<NA>주택가주변갑상수도전용<NA><NA><NA><NA><NA><NA><NA><NA>N19.2<NA><NA><NA>
430400003040000-121-1982-0000219820707<NA>3폐업2폐업20110126<NA><NA><NA>02 4575349<NA>143865서울특별시 광진구 자양동 606-9번지<NA><NA>아도레과자점2011-01-03 11:31:10I2018-08-31 23:59:59.0제과점영업206947.646753447745.55784제과점영업<NA><NA>주택가주변을상수도전용<NA><NA><NA><NA><NA><NA><NA><NA>N19.76<NA><NA><NA>
530400003040000-121-1983-0000119830304<NA>3폐업2폐업20090421<NA><NA><NA>02 4445458<NA>143890서울특별시 광진구 중곡동 116-6번지<NA><NA>프랑세즈과자점2006-10-20 00:00:00I2018-08-31 23:59:59.0제과점영업207731.485258450196.465106제과점영업00주택가주변갑상수도전용<NA><NA><NA><NA><NA><NA><NA><NA>N9.0<NA><NA><NA>
630400003040000-121-1984-0000119840827<NA>3폐업2폐업20061011<NA><NA><NA>02 4663550<NA>143840서울특별시 광진구 군자동 355-10번지<NA><NA>프랑스제과2002-10-25 00:00:00I2018-08-31 23:59:59.0제과점영업205932.977482449586.519434제과점영업<NA><NA>주택가주변을상수도전용<NA><NA><NA><NA><NA><NA><NA><NA>N37.53<NA><NA><NA>
730400003040000-121-1984-0000219841013<NA>3폐업2폐업20100331<NA><NA><NA>02 4972876<NA>143902서울특별시 광진구 중곡동 199-1번지<NA><NA>케익하우스몽마(Cake House 몽마)2007-06-14 00:00:00I2018-08-31 23:59:59.0제과점영업207302.075497451991.900379제과점영업0<NA>주택가주변을상수도전용<NA><NA><NA><NA><NA><NA><NA><NA>N18.88<NA><NA><NA>
830400003040000-121-1985-0000119850307<NA>3폐업2폐업20110622<NA><NA><NA>02 4670751<NA>143838서울특별시 광진구 군자동 184번지<NA><NA>세비앙과자점2002-10-25 00:00:00I2018-08-31 23:59:59.0제과점영업206309.590759450430.884671제과점영업00주택가주변을상수도전용<NA><NA><NA><NA><NA><NA><NA><NA>N24.12<NA><NA><NA>
930400003040000-121-1985-0000219850406<NA>3폐업2폐업20151228<NA><NA><NA>02 4465305<NA>143885서울특별시 광진구 중곡동 47-14번지서울특별시 광진구 능동로 338-1 (중곡동)4927오페라과자점2002-10-25 00:00:00I2018-08-31 23:59:59.0제과점영업207101.894342450825.164855제과점영업<NA><NA>주택가주변기타상수도전용<NA><NA><NA><NA><NA><NA><NA><NA>N61.1<NA><NA><NA>
개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)위생업태명남성종사자수여성종사자수영업장주변구분명등급구분명급수시설구분명총인원본사종업원수공장사무직종업원수공장판매직종업원수공장생산직종업원수건물소유구분명보증액월세액다중이용업소여부시설총규모전통업소지정번호전통업소주된음식홈페이지
40930400003040000-121-2023-000162023-11-02<NA>1영업/정상1영업<NA><NA><NA><NA><NA>15.09143-841서울특별시 광진구 자양동 6-58 1층서울특별시 광진구 아차산로30길 31, 1층 (자양동)5073쉬르메르(Sur mer)2023-11-02 14:03:24I2022-11-01 00:04:00.0제과점영업205884.40104448577.363439<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
41030400003040000-121-2023-000172023-11-09<NA>1영업/정상1영업<NA><NA><NA><NA><NA>60.0143-866서울특별시 광진구 자양동 612-60서울특별시 광진구 자양로15길 14, 1층 (자양동)5055자양빵공장2023-11-09 10:22:09I2022-10-31 23:01:00.0제과점영업207235.634628448183.913243<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
41130400003040000-121-2023-000182023-11-27<NA>3폐업2폐업2023-12-25<NA><NA><NA><NA>4.0143-758서울특별시 광진구 자양동 227-7 더샵스타시티서울특별시 광진구 아차산로 272, 더샵스타시티 이마트자양점 내 과자코너 지하1층 (자양동)5065주)신세계푸드베이커리(자양점)2023-12-26 04:15:08U2022-11-01 22:08:00.0제과점영업206349.675048448396.939704<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
41230400003040000-121-2023-000192023-12-01<NA>1영업/정상1영업<NA><NA><NA><NA><NA>392.07143-843서울특별시 광진구 자양동 44-2 노룬산시장서울특별시 광진구 뚝섬로 491, 노룬산시장 2층 (자양동)5080달콤제빵소2023-12-01 10:25:42I2022-11-02 00:03:00.0제과점영업205663.081069448250.363359<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
41330400003040000-121-2024-000012024-01-23<NA>1영업/정상1영업<NA><NA><NA><NA><NA>19.8143-823서울특별시 광진구 구의동 221-62서울특별시 광진구 아차산로57길 32, 1층 101호 (구의동)5041키킥 서울 구의2024-01-23 15:35:39I2023-11-30 22:05:00.0제과점영업207757.526379448628.889909<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
41430400003040000-121-2024-000022024-03-13<NA>1영업/정상1영업<NA><NA><NA><NA><NA>49.0143-819서울특별시 광진구 구의동 78-25서울특별시 광진구 자양로39길 14, 1층 (구의동)4992유영하다2024-03-13 15:12:41I2023-12-02 23:06:00.0제과점영업207752.888595449654.15498<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
41530400003040000-121-2024-000032024-03-18<NA>1영업/정상1영업<NA><NA><NA><NA><NA>217.2143-758서울특별시 광진구 자양동 227-342 더클래식500서울특별시 광진구 능동로 90, 더클래식500 에이동 107,107-1호 (자양동)5065더베이크델리2024-04-02 17:01:32U2023-12-04 00:04:00.0제과점영업206217.434726448506.218744<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
41630400003040000-121-2024-000042024-03-25<NA>3폐업2폐업2024-04-30<NA><NA><NA><NA>46.0143-758서울특별시 광진구 자양동 227-342 롯데백화점 지하1층서울특별시 광진구 능동로 92, 롯데백화점 B1층 (자양동)5065한나식빵2024-05-01 04:15:08U2023-12-05 00:04:00.0제과점영업206217.434726448506.218744<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
41730400003040000-121-2024-000052024-04-25<NA>1영업/정상1영업<NA><NA><NA><NA><NA>21.5143-858서울특별시 광진구 자양동 471서울특별시 광진구 뚝섬로40길 33, 105호 건물일부호 (자양동)5092이안코(Ianco)2024-04-25 13:33:57I2023-12-03 22:07:00.0제과점영업206349.267745447794.229281<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
41830400003040000-121-2024-000062024-04-26<NA>1영업/정상1영업<NA><NA><NA><NA><NA>17.0143-864서울특별시 광진구 자양동 584-1서울특별시 광진구 자양번영로3길 3, 1층 (자양동)5093콰상2024-04-26 15:45:54I2023-12-03 22:08:00.0제과점영업206539.104226447705.917415<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>