Overview

Dataset statistics

Number of variables44
Number of observations344
Missing cells3882
Missing cells (%)25.6%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory126.8 KiB
Average record size in memory377.4 B

Variable types

Categorical19
Text6
DateTime4
Unsupported8
Numeric6
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
Author종로구
URLhttps://data.seoul.go.kr/dataList/OA-18402/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
업태구분명 has constant value ""Constant
다중이용업소여부 has constant value ""Constant
총인원 is highly imbalanced (75.5%)Imbalance
본사종업원수 is highly imbalanced (75.5%)Imbalance
공장사무직종업원수 is highly imbalanced (75.5%)Imbalance
공장판매직종업원수 is highly imbalanced (75.5%)Imbalance
공장생산직종업원수 is highly imbalanced (75.5%)Imbalance
보증액 is highly imbalanced (75.5%)Imbalance
월세액 is highly imbalanced (75.5%)Imbalance
인허가취소일자 has 344 (100.0%) missing valuesMissing
폐업일자 has 132 (38.4%) missing valuesMissing
휴업시작일자 has 344 (100.0%) missing valuesMissing
휴업종료일자 has 344 (100.0%) missing valuesMissing
재개업일자 has 344 (100.0%) missing valuesMissing
전화번호 has 161 (46.8%) missing valuesMissing
소재지면적 has 218 (63.4%) missing valuesMissing
도로명주소 has 109 (31.7%) missing valuesMissing
도로명우편번호 has 112 (32.6%) missing valuesMissing
좌표정보(X) has 25 (7.3%) missing valuesMissing
좌표정보(Y) has 25 (7.3%) missing valuesMissing
여성종사자수 has 200 (58.1%) missing valuesMissing
건물소유구분명 has 344 (100.0%) missing valuesMissing
다중이용업소여부 has 74 (21.5%) missing valuesMissing
시설총규모 has 74 (21.5%) missing valuesMissing
전통업소지정번호 has 344 (100.0%) missing valuesMissing
전통업소주된음식 has 344 (100.0%) missing valuesMissing
홈페이지 has 344 (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
여성종사자수 has 98 (28.5%) zerosZeros

Reproduction

Analysis started2024-05-11 07:06:12.184644
Analysis finished2024-05-11 07:06:13.994950
Duration1.81 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size2.8 KiB
3000000
344 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3000000
2nd row3000000
3rd row3000000
4th row3000000
5th row3000000

Common Values

ValueCountFrequency (%)
3000000 344
100.0%

Length

2024-05-11T07:06:14.216837image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T07:06:14.571028image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3000000 344
100.0%

관리번호
Text

UNIQUE 

Distinct344
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size2.8 KiB
2024-05-11T07:06:15.052590image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length22
Median length22
Mean length22
Min length22

Characters and Unicode

Total characters7568
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

Unique344 ?
Unique (%)100.0%

Sample

1st row3000000-121-1969-00001
2nd row3000000-121-1972-00001
3rd row3000000-121-1978-00001
4th row3000000-121-1978-00002
5th row3000000-121-1980-00001
ValueCountFrequency (%)
3000000-121-1969-00001 1
 
0.3%
3000000-121-2015-00003 1
 
0.3%
3000000-121-2015-00011 1
 
0.3%
3000000-121-2015-00010 1
 
0.3%
3000000-121-2015-00009 1
 
0.3%
3000000-121-2015-00008 1
 
0.3%
3000000-121-2015-00007 1
 
0.3%
3000000-121-2015-00006 1
 
0.3%
3000000-121-2015-00005 1
 
0.3%
3000000-121-2015-00017 1
 
0.3%
Other values (334) 334
97.1%
2024-05-11T07:06:16.307108image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 3794
50.1%
1 1041
 
13.8%
- 1032
 
13.6%
2 759
 
10.0%
3 431
 
5.7%
9 196
 
2.6%
8 74
 
1.0%
4 67
 
0.9%
5 66
 
0.9%
7 61
 
0.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 6536
86.4%
Dash Punctuation 1032
 
13.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 3794
58.0%
1 1041
 
15.9%
2 759
 
11.6%
3 431
 
6.6%
9 196
 
3.0%
8 74
 
1.1%
4 67
 
1.0%
5 66
 
1.0%
7 61
 
0.9%
6 47
 
0.7%
Dash Punctuation
ValueCountFrequency (%)
- 1032
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 7568
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 3794
50.1%
1 1041
 
13.8%
- 1032
 
13.6%
2 759
 
10.0%
3 431
 
5.7%
9 196
 
2.6%
8 74
 
1.0%
4 67
 
0.9%
5 66
 
0.9%
7 61
 
0.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 7568
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 3794
50.1%
1 1041
 
13.8%
- 1032
 
13.6%
2 759
 
10.0%
3 431
 
5.7%
9 196
 
2.6%
8 74
 
1.0%
4 67
 
0.9%
5 66
 
0.9%
7 61
 
0.8%

인허가일자
Date

Distinct323
Distinct (%)93.9%
Missing0
Missing (%)0.0%
Memory size2.8 KiB
Minimum1969-08-19 00:00:00
Maximum2024-04-24 00:00:00
2024-05-11T07:06:16.997014image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T07:06:17.566740image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing344
Missing (%)100.0%
Memory size3.2 KiB

영업상태코드
Categorical

Distinct2
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size2.8 KiB
3
212 
1
132 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
3 212
61.6%
1 132
38.4%

Length

2024-05-11T07:06:18.031581image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T07:06:18.349980image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 212
61.6%
1 132
38.4%

영업상태명
Categorical

Distinct2
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size2.8 KiB
폐업
212 
영업/정상
132 

Length

Max length5
Median length2
Mean length3.1511628
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 212
61.6%
영업/정상 132
38.4%

Length

2024-05-11T07:06:18.729741image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T07:06:19.062157image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 212
61.6%
영업/정상 132
38.4%

상세영업상태코드
Categorical

Distinct2
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size2.8 KiB
2
212 
1
132 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
2 212
61.6%
1 132
38.4%

Length

2024-05-11T07:06:19.497360image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T07:06:19.839572image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2 212
61.6%
1 132
38.4%

상세영업상태명
Categorical

Distinct2
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size2.8 KiB
폐업
212 
영업
132 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 212
61.6%
영업 132
38.4%

Length

2024-05-11T07:06:20.294530image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T07:06:20.669932image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 212
61.6%
영업 132
38.4%

폐업일자
Date

MISSING 

Distinct199
Distinct (%)93.9%
Missing132
Missing (%)38.4%
Memory size2.8 KiB
Minimum2002-10-02 00:00:00
Maximum2024-04-29 00:00:00
2024-05-11T07:06:21.202035image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T07:06:21.740446image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing344
Missing (%)100.0%
Memory size3.2 KiB

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing344
Missing (%)100.0%
Memory size3.2 KiB

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing344
Missing (%)100.0%
Memory size3.2 KiB

전화번호
Text

MISSING 

Distinct175
Distinct (%)95.6%
Missing161
Missing (%)46.8%
Memory size2.8 KiB
2024-05-11T07:06:22.672166image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length10
Mean length10.42623
Min length6

Characters and Unicode

Total characters1908
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

Unique168 ?
Unique (%)91.8%

Sample

1st row02 2655883
2nd row02 2667462
3rd row0207348775
4th row02 7631368
5th row02 7356122
ValueCountFrequency (%)
02 126
35.9%
741 5
 
1.4%
070 3
 
0.9%
0200000000 3
 
0.9%
363 2
 
0.6%
747 2
 
0.6%
738 2
 
0.6%
762 2
 
0.6%
764 2
 
0.6%
8222 2
 
0.6%
Other values (192) 202
57.5%
2024-05-11T07:06:24.399435image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 355
18.6%
2 299
15.7%
7 232
12.2%
217
11.4%
3 161
8.4%
6 135
 
7.1%
4 126
 
6.6%
5 109
 
5.7%
1 98
 
5.1%
8 89
 
4.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1691
88.6%
Space Separator 217
 
11.4%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 355
21.0%
2 299
17.7%
7 232
13.7%
3 161
9.5%
6 135
 
8.0%
4 126
 
7.5%
5 109
 
6.4%
1 98
 
5.8%
8 89
 
5.3%
9 87
 
5.1%
Space Separator
ValueCountFrequency (%)
217
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1908
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 355
18.6%
2 299
15.7%
7 232
12.2%
217
11.4%
3 161
8.4%
6 135
 
7.1%
4 126
 
6.6%
5 109
 
5.7%
1 98
 
5.1%
8 89
 
4.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1908
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 355
18.6%
2 299
15.7%
7 232
12.2%
217
11.4%
3 161
8.4%
6 135
 
7.1%
4 126
 
6.6%
5 109
 
5.7%
1 98
 
5.1%
8 89
 
4.7%

소재지면적
Real number (ℝ)

MISSING 

Distinct117
Distinct (%)92.9%
Missing218
Missing (%)63.4%
Infinite0
Infinite (%)0.0%
Mean71.029683
Minimum0
Maximum822
Zeros3
Zeros (%)0.9%
Negative0
Negative (%)0.0%
Memory size3.2 KiB
2024-05-11T07:06:24.943758image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile10
Q125.82
median48.405
Q387.5175
95-th percentile189.085
Maximum822
Range822
Interquartile range (IQR)61.6975

Descriptive statistics

Standard deviation91.575359
Coefficient of variation (CV)1.2892548
Kurtosis37.172759
Mean71.029683
Median Absolute Deviation (MAD)25.64
Skewness5.1778361
Sum8949.74
Variance8386.0464
MonotonicityNot monotonic
2024-05-11T07:06:25.620152image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 3
 
0.9%
52.23 2
 
0.6%
30.0 2
 
0.6%
49.0 2
 
0.6%
42.0 2
 
0.6%
26.4 2
 
0.6%
26.0 2
 
0.6%
10.0 2
 
0.6%
58.0 1
 
0.3%
109.73 1
 
0.3%
Other values (107) 107
31.1%
(Missing) 218
63.4%
ValueCountFrequency (%)
0.0 3
0.9%
4.0 1
 
0.3%
8.0 1
 
0.3%
9.92 1
 
0.3%
10.0 2
0.6%
11.47 1
 
0.3%
12.0 1
 
0.3%
13.22 1
 
0.3%
13.25 1
 
0.3%
14.28 1
 
0.3%
ValueCountFrequency (%)
822.0 1
0.3%
391.4 1
0.3%
319.01 1
0.3%
310.06 1
0.3%
208.67 1
0.3%
191.04 1
0.3%
189.74 1
0.3%
187.12 1
0.3%
158.81 1
0.3%
157.15 1
0.3%

소재지우편번호
Text

Distinct127
Distinct (%)36.9%
Missing0
Missing (%)0.0%
Memory size2.8 KiB
2024-05-11T07:06:26.530309image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length6
Mean length6.1511628
Min length6

Characters and Unicode

Total characters2116
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 (%)15.7%

Sample

1st row110420
2nd row110430
3rd row110121
4th row110450
5th row110080
ValueCountFrequency (%)
110122 12
 
3.5%
110524 10
 
2.9%
110123 10
 
2.9%
110121 10
 
2.9%
110522 9
 
2.6%
110847 8
 
2.3%
110530 7
 
2.0%
110420 6
 
1.7%
110837 6
 
1.7%
110863 6
 
1.7%
Other values (117) 260
75.6%
2024-05-11T07:06:28.174642image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 823
38.9%
0 576
27.2%
2 146
 
6.9%
8 122
 
5.8%
3 109
 
5.2%
4 107
 
5.1%
5 71
 
3.4%
- 52
 
2.5%
7 50
 
2.4%
6 42
 
2.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2064
97.5%
Dash Punctuation 52
 
2.5%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 823
39.9%
0 576
27.9%
2 146
 
7.1%
8 122
 
5.9%
3 109
 
5.3%
4 107
 
5.2%
5 71
 
3.4%
7 50
 
2.4%
6 42
 
2.0%
9 18
 
0.9%
Dash Punctuation
ValueCountFrequency (%)
- 52
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 2116
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
1 823
38.9%
0 576
27.2%
2 146
 
6.9%
8 122
 
5.8%
3 109
 
5.2%
4 107
 
5.1%
5 71
 
3.4%
- 52
 
2.5%
7 50
 
2.4%
6 42
 
2.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2116
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 823
38.9%
0 576
27.2%
2 146
 
6.9%
8 122
 
5.8%
3 109
 
5.2%
4 107
 
5.1%
5 71
 
3.4%
- 52
 
2.5%
7 50
 
2.4%
6 42
 
2.0%

지번주소
Text

Distinct330
Distinct (%)95.9%
Missing0
Missing (%)0.0%
Memory size2.8 KiB
2024-05-11T07:06:29.232318image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length54
Median length44
Mean length24.587209
Min length15

Characters and Unicode

Total characters8458
Distinct characters202
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique318 ?
Unique (%)92.4%

Sample

1st row서울특별시 종로구 관수동 158-2번지
2nd row서울특별시 종로구 장사동 130-1번지
3rd row서울특별시 종로구 종로1가 32-0번지
4th row서울특별시 종로구 원남동 194번지
5th row서울특별시 종로구 무악동 42-2번지
ValueCountFrequency (%)
서울특별시 344
20.9%
종로구 344
20.9%
1층 42
 
2.6%
창신동 30
 
1.8%
지상1층 26
 
1.6%
지하1층 14
 
0.9%
숭인동 14
 
0.9%
종로1가 13
 
0.8%
동숭동 12
 
0.7%
종로2가 12
 
0.7%
Other values (504) 792
48.2%
2024-05-11T07:06:30.735195image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1560
18.4%
1 465
 
5.5%
로 414
 
4.9%
종 410
 
4.8%
서 353
 
4.2%
울 348
 
4.1%
구 347
 
4.1%
시 344
 
4.1%
별 344
 
4.1%
특 344
 
4.1%
Other values (192) 3529
41.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 5007
59.2%
Space Separator 1560
 
18.4%
Decimal Number 1535
 
18.1%
Dash Punctuation 250
 
3.0%
Open Punctuation 30
 
0.4%
Close Punctuation 30
 
0.4%
Other Punctuation 28
 
0.3%
Uppercase Letter 10
 
0.1%
Lowercase Letter 5
 
0.1%
Math Symbol 3
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
로 414
 
8.3%
종 410
 
8.2%
서 353
 
7.1%
울 348
 
7.0%
구 347
 
6.9%
시 344
 
6.9%
별 344
 
6.9%
특 344
 
6.9%
지 333
 
6.7%
동 294
 
5.9%
Other values (166) 1476
29.5%
Decimal Number
ValueCountFrequency (%)
1 465
30.3%
2 248
16.2%
3 148
 
9.6%
0 133
 
8.7%
4 117
 
7.6%
5 104
 
6.8%
8 89
 
5.8%
6 86
 
5.6%
7 84
 
5.5%
9 61
 
4.0%
Lowercase Letter
ValueCountFrequency (%)
o 1
20.0%
w 1
20.0%
e 1
20.0%
r 1
20.0%
b 1
20.0%
Uppercase Letter
ValueCountFrequency (%)
B 4
40.0%
D 3
30.0%
A 2
20.0%
T 1
 
10.0%
Other Punctuation
ValueCountFrequency (%)
, 22
78.6%
. 6
 
21.4%
Space Separator
ValueCountFrequency (%)
1560
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 250
100.0%
Open Punctuation
ValueCountFrequency (%)
( 30
100.0%
Close Punctuation
ValueCountFrequency (%)
) 30
100.0%
Math Symbol
ValueCountFrequency (%)
~ 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 5007
59.2%
Common 3436
40.6%
Latin 15
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
로 414
 
8.3%
종 410
 
8.2%
서 353
 
7.1%
울 348
 
7.0%
구 347
 
6.9%
시 344
 
6.9%
별 344
 
6.9%
특 344
 
6.9%
지 333
 
6.7%
동 294
 
5.9%
Other values (166) 1476
29.5%
Common
ValueCountFrequency (%)
1560
45.4%
1 465
 
13.5%
- 250
 
7.3%
2 248
 
7.2%
3 148
 
4.3%
0 133
 
3.9%
4 117
 
3.4%
5 104
 
3.0%
8 89
 
2.6%
6 86
 
2.5%
Other values (7) 236
 
6.9%
Latin
ValueCountFrequency (%)
B 4
26.7%
D 3
20.0%
A 2
13.3%
T 1
 
6.7%
o 1
 
6.7%
w 1
 
6.7%
e 1
 
6.7%
r 1
 
6.7%
b 1
 
6.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 5007
59.2%
ASCII 3451
40.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1560
45.2%
1 465
 
13.5%
- 250
 
7.2%
2 248
 
7.2%
3 148
 
4.3%
0 133
 
3.9%
4 117
 
3.4%
5 104
 
3.0%
8 89
 
2.6%
6 86
 
2.5%
Other values (16) 251
 
7.3%
Hangul
ValueCountFrequency (%)
로 414
 
8.3%
종 410
 
8.2%
서 353
 
7.1%
울 348
 
7.0%
구 347
 
6.9%
시 344
 
6.9%
별 344
 
6.9%
특 344
 
6.9%
지 333
 
6.7%
동 294
 
5.9%
Other values (166) 1476
29.5%

도로명주소
Text

MISSING 

Distinct229
Distinct (%)97.4%
Missing109
Missing (%)31.7%
Memory size2.8 KiB
2024-05-11T07:06:31.525985image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length56
Median length46
Mean length30.931915
Min length20

Characters and Unicode

Total characters7269
Distinct characters218
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique224 ?
Unique (%)95.3%

Sample

1st row서울특별시 종로구 창경궁로21길 17-6 (원남동)
2nd row서울특별시 종로구 인사동길 60 (관훈동)
3rd row서울특별시 종로구 지봉로 91-1, 1층 (창신동)
4th row서울특별시 종로구 통일로 182 (교북동)
5th row서울특별시 종로구 북촌로6길 1 (가회동)
ValueCountFrequency (%)
서울특별시 235
 
16.0%
종로구 235
 
16.0%
1층 89
 
6.1%
종로 36
 
2.5%
지하1층 18
 
1.2%
창신동 18
 
1.2%
대학로 17
 
1.2%
자하문로 14
 
1.0%
지하 11
 
0.7%
동숭동 10
 
0.7%
Other values (446) 784
53.4%
2024-05-11T07:06:33.252093image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1232
 
16.9%
로 474
 
6.5%
1 409
 
5.6%
종 335
 
4.6%
) 252
 
3.5%
( 252
 
3.5%
서 245
 
3.4%
울 239
 
3.3%
시 237
 
3.3%
구 237
 
3.3%
Other values (208) 3357
46.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 4161
57.2%
Space Separator 1232
 
16.9%
Decimal Number 1084
 
14.9%
Close Punctuation 252
 
3.5%
Open Punctuation 252
 
3.5%
Other Punctuation 220
 
3.0%
Dash Punctuation 52
 
0.7%
Uppercase Letter 8
 
0.1%
Math Symbol 4
 
0.1%
Lowercase Letter 4
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
로 474
 
11.4%
종 335
 
8.1%
서 245
 
5.9%
울 239
 
5.7%
시 237
 
5.7%
구 237
 
5.7%
특 235
 
5.6%
별 235
 
5.6%
동 223
 
5.4%
층 170
 
4.1%
Other values (183) 1531
36.8%
Decimal Number
ValueCountFrequency (%)
1 409
37.7%
2 147
 
13.6%
3 124
 
11.4%
5 80
 
7.4%
0 75
 
6.9%
4 59
 
5.4%
9 55
 
5.1%
7 52
 
4.8%
6 48
 
4.4%
8 35
 
3.2%
Uppercase Letter
ValueCountFrequency (%)
D 3
37.5%
B 3
37.5%
T 1
 
12.5%
A 1
 
12.5%
Lowercase Letter
ValueCountFrequency (%)
o 1
25.0%
w 1
25.0%
e 1
25.0%
r 1
25.0%
Other Punctuation
ValueCountFrequency (%)
, 214
97.3%
. 6
 
2.7%
Space Separator
ValueCountFrequency (%)
1232
100.0%
Close Punctuation
ValueCountFrequency (%)
) 252
100.0%
Open Punctuation
ValueCountFrequency (%)
( 252
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 52
100.0%
Math Symbol
ValueCountFrequency (%)
~ 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 4161
57.2%
Common 3096
42.6%
Latin 12
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
로 474
 
11.4%
종 335
 
8.1%
서 245
 
5.9%
울 239
 
5.7%
시 237
 
5.7%
구 237
 
5.7%
특 235
 
5.6%
별 235
 
5.6%
동 223
 
5.4%
층 170
 
4.1%
Other values (183) 1531
36.8%
Common
ValueCountFrequency (%)
1232
39.8%
1 409
 
13.2%
) 252
 
8.1%
( 252
 
8.1%
, 214
 
6.9%
2 147
 
4.7%
3 124
 
4.0%
5 80
 
2.6%
0 75
 
2.4%
4 59
 
1.9%
Other values (7) 252
 
8.1%
Latin
ValueCountFrequency (%)
D 3
25.0%
B 3
25.0%
o 1
 
8.3%
w 1
 
8.3%
e 1
 
8.3%
r 1
 
8.3%
T 1
 
8.3%
A 1
 
8.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 4161
57.2%
ASCII 3108
42.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1232
39.6%
1 409
 
13.2%
) 252
 
8.1%
( 252
 
8.1%
, 214
 
6.9%
2 147
 
4.7%
3 124
 
4.0%
5 80
 
2.6%
0 75
 
2.4%
4 59
 
1.9%
Other values (15) 264
 
8.5%
Hangul
ValueCountFrequency (%)
로 474
 
11.4%
종 335
 
8.1%
서 245
 
5.9%
울 239
 
5.7%
시 237
 
5.7%
구 237
 
5.7%
특 235
 
5.6%
별 235
 
5.6%
동 223
 
5.4%
층 170
 
4.1%
Other values (183) 1531
36.8%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct105
Distinct (%)45.3%
Missing112
Missing (%)32.6%
Infinite0
Infinite (%)0.0%
Mean3103.7543
Minimum3007
Maximum3198
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.2 KiB
2024-05-11T07:06:33.910455image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3007
5-th percentile3015.55
Q13057.75
median3102.5
Q33155
95-th percentile3188.45
Maximum3198
Range191
Interquartile range (IQR)97.25

Descriptive statistics

Standard deviation55.064268
Coefficient of variation (CV)0.017741181
Kurtosis-1.2266936
Mean3103.7543
Median Absolute Deviation (MAD)47.5
Skewness0.018506646
Sum720071
Variance3032.0736
MonotonicityNot monotonic
2024-05-11T07:06:34.661332image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
3059 9
 
2.6%
3139 7
 
2.0%
3036 6
 
1.7%
3172 5
 
1.5%
3106 5
 
1.5%
3085 5
 
1.5%
3161 5
 
1.5%
3155 5
 
1.5%
3195 5
 
1.5%
3041 4
 
1.2%
Other values (95) 176
51.2%
(Missing) 112
32.6%
ValueCountFrequency (%)
3007 1
 
0.3%
3008 1
 
0.3%
3009 4
1.2%
3012 1
 
0.3%
3014 4
1.2%
3015 1
 
0.3%
3016 1
 
0.3%
3017 1
 
0.3%
3021 3
0.9%
3022 1
 
0.3%
ValueCountFrequency (%)
3198 2
 
0.6%
3195 5
1.5%
3191 2
 
0.6%
3189 3
0.9%
3188 3
0.9%
3184 1
 
0.3%
3183 2
 
0.6%
3182 3
0.9%
3181 2
 
0.6%
3180 3
0.9%

사업장명
Text

Distinct318
Distinct (%)92.4%
Missing0
Missing (%)0.0%
Memory size2.8 KiB
2024-05-11T07:06:35.715786image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length35
Median length26
Mean length8.3953488
Min length2

Characters and Unicode

Total characters2888
Distinct characters401
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

Unique298 ?
Unique (%)86.6%

Sample

1st row홍콩
2nd row뉴보리수
3rd row독일빵집
4th row원남
5th row빵마을
ValueCountFrequency (%)
뚜레쥬르 11
 
2.0%
파리바게뜨 10
 
1.8%
베이커리 10
 
1.8%
대학로점 6
 
1.1%
던킨도너츠 6
 
1.1%
브레댄코 5
 
0.9%
카페 5
 
0.9%
비알코리아(주 5
 
0.9%
종로점 5
 
0.9%
파리바게트 5
 
0.9%
Other values (396) 474
87.5%
2024-05-11T07:06:37.279640image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
198
 
6.9%
점 117
 
4.1%
리 104
 
3.6%
이 65
 
2.3%
( 58
 
2.0%
) 58
 
2.0%
스 54
 
1.9%
레 53
 
1.8%
베 52
 
1.8%
로 51
 
1.8%
Other values (391) 2078
72.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2259
78.2%
Space Separator 198
 
6.9%
Lowercase Letter 149
 
5.2%
Uppercase Letter 131
 
4.5%
Open Punctuation 58
 
2.0%
Close Punctuation 58
 
2.0%
Decimal Number 26
 
0.9%
Other Punctuation 8
 
0.3%
Dash Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
점 117
 
5.2%
리 104
 
4.6%
이 65
 
2.9%
스 54
 
2.4%
레 53
 
2.3%
베 52
 
2.3%
로 51
 
2.3%
종 39
 
1.7%
파 35
 
1.5%
라 35
 
1.5%
Other values (333) 1654
73.2%
Lowercase Letter
ValueCountFrequency (%)
o 22
14.8%
e 21
14.1%
a 17
11.4%
n 17
11.4%
r 9
 
6.0%
i 8
 
5.4%
g 7
 
4.7%
l 6
 
4.0%
u 6
 
4.0%
c 5
 
3.4%
Other values (11) 31
20.8%
Uppercase Letter
ValueCountFrequency (%)
A 13
 
9.9%
E 13
 
9.9%
B 12
 
9.2%
M 11
 
8.4%
L 10
 
7.6%
C 9
 
6.9%
S 7
 
5.3%
T 7
 
5.3%
U 7
 
5.3%
N 6
 
4.6%
Other values (11) 36
27.5%
Decimal Number
ValueCountFrequency (%)
3 6
23.1%
2 5
19.2%
1 4
15.4%
0 3
11.5%
5 3
11.5%
4 2
 
7.7%
8 2
 
7.7%
9 1
 
3.8%
Other Punctuation
ValueCountFrequency (%)
? 3
37.5%
. 2
25.0%
& 2
25.0%
' 1
 
12.5%
Space Separator
ValueCountFrequency (%)
198
100.0%
Open Punctuation
ValueCountFrequency (%)
( 58
100.0%
Close Punctuation
ValueCountFrequency (%)
) 58
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2259
78.2%
Common 349
 
12.1%
Latin 280
 
9.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
점 117
 
5.2%
리 104
 
4.6%
이 65
 
2.9%
스 54
 
2.4%
레 53
 
2.3%
베 52
 
2.3%
로 51
 
2.3%
종 39
 
1.7%
파 35
 
1.5%
라 35
 
1.5%
Other values (333) 1654
73.2%
Latin
ValueCountFrequency (%)
o 22
 
7.9%
e 21
 
7.5%
a 17
 
6.1%
n 17
 
6.1%
A 13
 
4.6%
E 13
 
4.6%
B 12
 
4.3%
M 11
 
3.9%
L 10
 
3.6%
C 9
 
3.2%
Other values (32) 135
48.2%
Common
ValueCountFrequency (%)
198
56.7%
( 58
 
16.6%
) 58
 
16.6%
3 6
 
1.7%
2 5
 
1.4%
1 4
 
1.1%
? 3
 
0.9%
0 3
 
0.9%
5 3
 
0.9%
4 2
 
0.6%
Other values (6) 9
 
2.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2259
78.2%
ASCII 629
 
21.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
198
31.5%
( 58
 
9.2%
) 58
 
9.2%
o 22
 
3.5%
e 21
 
3.3%
a 17
 
2.7%
n 17
 
2.7%
A 13
 
2.1%
E 13
 
2.1%
B 12
 
1.9%
Other values (48) 200
31.8%
Hangul
ValueCountFrequency (%)
점 117
 
5.2%
리 104
 
4.6%
이 65
 
2.9%
스 54
 
2.4%
레 53
 
2.3%
베 52
 
2.3%
로 51
 
2.3%
종 39
 
1.7%
파 35
 
1.5%
라 35
 
1.5%
Other values (333) 1654
73.2%

최종수정일자
Date

Distinct315
Distinct (%)91.6%
Missing0
Missing (%)0.0%
Memory size2.8 KiB
Minimum1999-08-04 00:00:00
Maximum2024-05-02 16:58:51
2024-05-11T07:06:37.734981image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T07:06:38.456530image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

데이터갱신구분
Categorical

Distinct2
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size2.8 KiB
I
244 
U
100 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
I 244
70.9%
U 100
29.1%

Length

2024-05-11T07:06:39.035660image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T07:06:39.436191image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 244
70.9%
u 100
29.1%

데이터갱신일자
Date

Distinct119
Distinct (%)34.6%
Missing0
Missing (%)0.0%
Memory size2.8 KiB
Minimum2018-08-31 23:59:59
Maximum2023-12-05 00:04:00
2024-05-11T07:06:40.257442image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T07:06:41.103759image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업태구분명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size2.8 KiB
제과점영업
344 

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 344
100.0%

Length

2024-05-11T07:06:41.881458image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T07:06:42.538082image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
제과점영업 344
100.0%

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct264
Distinct (%)82.8%
Missing25
Missing (%)7.3%
Infinite0
Infinite (%)0.0%
Mean198833.76
Minimum195960.55
Maximum201919.67
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.2 KiB
2024-05-11T07:06:42.956809image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum195960.55
5-th percentile196500.66
Q1197545.01
median198725.98
Q3200054.14
95-th percentile201259.12
Maximum201919.67
Range5959.1242
Interquartile range (IQR)2509.1299

Descriptive statistics

Standard deviation1480.7201
Coefficient of variation (CV)0.0074470253
Kurtosis-0.91668065
Mean198833.76
Median Absolute Deviation (MAD)1260.7566
Skewness0.08337827
Sum63427971
Variance2192531.9
MonotonicityNot monotonic
2024-05-11T07:06:43.574664image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
198068.926781947 5
 
1.5%
197181.393301659 4
 
1.2%
200877.234383828 4
 
1.2%
199824.095974723 4
 
1.2%
197802.707703087 3
 
0.9%
198150.300374121 3
 
0.9%
197465.223921125 3
 
0.9%
196501.102535753 3
 
0.9%
198261.536982652 3
 
0.9%
198288.608626982 3
 
0.9%
Other values (254) 284
82.6%
(Missing) 25
 
7.3%
ValueCountFrequency (%)
195960.546025512 2
0.6%
196099.306839597 1
0.3%
196116.651717549 1
0.3%
196171.32627844 1
0.3%
196188.676804345 1
0.3%
196216.695084581 2
0.6%
196278.554670262 1
0.3%
196301.805814445 1
0.3%
196318.780749808 1
0.3%
196338.311205723 1
0.3%
ValueCountFrequency (%)
201919.67024298 1
0.3%
201910.038308535 1
0.3%
201876.354761613 1
0.3%
201858.060164055 1
0.3%
201781.066324584 1
0.3%
201715.52953444 1
0.3%
201669.503633082 1
0.3%
201653.470133556 1
0.3%
201407.429224476 1
0.3%
201359.53353905 2
0.6%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct264
Distinct (%)82.8%
Missing25
Missing (%)7.3%
Infinite0
Infinite (%)0.0%
Mean452835.24
Minimum451754.85
Maximum456478.44
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.2 KiB
2024-05-11T07:06:44.019608image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum451754.85
5-th percentile451917.5
Q1452120.27
median452471.59
Q3453156.89
95-th percentile455612.12
Maximum456478.44
Range4723.5909
Interquartile range (IQR)1036.6256

Descriptive statistics

Standard deviation1022.8438
Coefficient of variation (CV)0.0022587548
Kurtosis3.0280091
Mean452835.24
Median Absolute Deviation (MAD)449.08405
Skewness1.8267541
Sum1.4445444 × 108
Variance1046209.4
MonotonicityNot monotonic
2024-05-11T07:06:44.712039image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
452087.030190231 5
 
1.5%
452458.826651573 4
 
1.2%
452404.75158858 4
 
1.2%
452984.360451452 4
 
1.2%
452342.759828651 3
 
0.9%
452019.212642931 3
 
0.9%
452366.613899898 3
 
0.9%
455731.331093335 3
 
0.9%
451951.026373194 3
 
0.9%
451994.05947363 3
 
0.9%
Other values (254) 284
82.6%
(Missing) 25
 
7.3%
ValueCountFrequency (%)
451754.845934195 1
0.3%
451768.310660153 1
0.3%
451776.44366444 2
0.6%
451797.477709718 1
0.3%
451809.570431229 1
0.3%
451822.996762578 1
0.3%
451824.281125555 2
0.6%
451838.986580618 1
0.3%
451863.826336965 1
0.3%
451875.525714844 1
0.3%
ValueCountFrequency (%)
456478.436790904 1
0.3%
456211.92274867 1
0.3%
456095.541459457 1
0.3%
456055.205802855 1
0.3%
456053.759563793 1
0.3%
456038.650926234 2
0.6%
456003.295259389 1
0.3%
455981.012780814 2
0.6%
455976.172515929 1
0.3%
455959.285011749 1
0.3%

위생업태명
Categorical

Distinct2
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size2.8 KiB
제과점영업
270 
<NA>
74 

Length

Max length5
Median length5
Mean length4.7848837
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
제과점영업 270
78.5%
<NA> 74
 
21.5%

Length

2024-05-11T07:06:45.122786image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T07:06:45.428483image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
제과점영업 270
78.5%
na 74
 
21.5%

남성종사자수
Categorical

Distinct5
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Memory size2.8 KiB
<NA>
200 
0
110 
1
29 
2
 
4
3
 
1

Length

Max length4
Median length4
Mean length2.744186
Min length1

Unique

Unique1 ?
Unique (%)0.3%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 200
58.1%
0 110
32.0%
1 29
 
8.4%
2 4
 
1.2%
3 1
 
0.3%

Length

2024-05-11T07:06:45.799112image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T07:06:46.187768image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 200
58.1%
0 110
32.0%
1 29
 
8.4%
2 4
 
1.2%
3 1
 
0.3%

여성종사자수
Real number (ℝ)

MISSING  ZEROS 

Distinct6
Distinct (%)4.2%
Missing200
Missing (%)58.1%
Infinite0
Infinite (%)0.0%
Mean0.61111111
Minimum0
Maximum5
Zeros98
Zeros (%)28.5%
Negative0
Negative (%)0.0%
Memory size3.2 KiB
2024-05-11T07:06:46.517530image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile2
Maximum5
Range5
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.99727679
Coefficient of variation (CV)1.6319075
Kurtosis2.2626907
Mean0.61111111
Median Absolute Deviation (MAD)0
Skewness1.57577
Sum88
Variance0.99456099
MonotonicityNot monotonic
2024-05-11T07:06:46.879375image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
0 98
28.5%
2 29
 
8.4%
1 12
 
3.5%
3 3
 
0.9%
4 1
 
0.3%
5 1
 
0.3%
(Missing) 200
58.1%
ValueCountFrequency (%)
0 98
28.5%
1 12
 
3.5%
2 29
 
8.4%
3 3
 
0.9%
4 1
 
0.3%
5 1
 
0.3%
ValueCountFrequency (%)
5 1
 
0.3%
4 1
 
0.3%
3 3
 
0.9%
2 29
 
8.4%
1 12
 
3.5%
0 98
28.5%

영업장주변구분명
Categorical

Distinct5
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Memory size2.8 KiB
<NA>
225 
기타
92 
주택가주변
 
15
유흥업소밀집지역
 
11
아파트지역
 
1

Length

Max length8
Median length4
Mean length3.6395349
Min length2

Unique

Unique1 ?
Unique (%)0.3%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 225
65.4%
기타 92
26.7%
주택가주변 15
 
4.4%
유흥업소밀집지역 11
 
3.2%
아파트지역 1
 
0.3%

Length

2024-05-11T07:06:47.318592image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T07:06:47.650589image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 225
65.4%
기타 92
26.7%
주택가주변 15
 
4.4%
유흥업소밀집지역 11
 
3.2%
아파트지역 1
 
0.3%

등급구분명
Categorical

Distinct6
Distinct (%)1.7%
Missing0
Missing (%)0.0%
Memory size2.8 KiB
<NA>
240 
기타
52 
자율
42 
갑
 
7
우수
 
2

Length

Max length4
Median length4
Mean length3.372093
Min length1

Unique

Unique1 ?
Unique (%)0.3%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 240
69.8%
기타 52
 
15.1%
자율 42
 
12.2%
갑 7
 
2.0%
우수 2
 
0.6%
을 1
 
0.3%

Length

2024-05-11T07:06:48.033998image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T07:06:48.323615image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 240
69.8%
기타 52
 
15.1%
자율 42
 
12.2%
갑 7
 
2.0%
우수 2
 
0.6%
을 1
 
0.3%

급수시설구분명
Categorical

Distinct2
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size2.8 KiB
<NA>
202 
상수도전용
142 

Length

Max length5
Median length4
Mean length4.4127907
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 202
58.7%
상수도전용 142
41.3%

Length

2024-05-11T07:06:48.754179image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T07:06:49.094049image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 202
58.7%
상수도전용 142
41.3%

총인원
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size2.8 KiB
<NA>
330 
0
 
14

Length

Max length4
Median length4
Mean length3.877907
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> 330
95.9%
0 14
 
4.1%

Length

2024-05-11T07:06:49.467406image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T07:06:49.810583image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 330
95.9%
0 14
 
4.1%

본사종업원수
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size2.8 KiB
<NA>
330 
0
 
14

Length

Max length4
Median length4
Mean length3.877907
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> 330
95.9%
0 14
 
4.1%

Length

2024-05-11T07:06:50.169302image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T07:06:50.474386image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 330
95.9%
0 14
 
4.1%

공장사무직종업원수
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size2.8 KiB
<NA>
330 
0
 
14

Length

Max length4
Median length4
Mean length3.877907
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> 330
95.9%
0 14
 
4.1%

Length

2024-05-11T07:06:50.846879image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T07:06:51.179919image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 330
95.9%
0 14
 
4.1%

공장판매직종업원수
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size2.8 KiB
<NA>
330 
0
 
14

Length

Max length4
Median length4
Mean length3.877907
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> 330
95.9%
0 14
 
4.1%

Length

2024-05-11T07:06:51.518008image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T07:06:51.800559image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 330
95.9%
0 14
 
4.1%

공장생산직종업원수
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size2.8 KiB
<NA>
330 
0
 
14

Length

Max length4
Median length4
Mean length3.877907
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> 330
95.9%
0 14
 
4.1%

Length

2024-05-11T07:06:52.129778image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T07:06:52.415367image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 330
95.9%
0 14
 
4.1%

건물소유구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing344
Missing (%)100.0%
Memory size3.2 KiB

보증액
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size2.8 KiB
<NA>
330 
0
 
14

Length

Max length4
Median length4
Mean length3.877907
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> 330
95.9%
0 14
 
4.1%

Length

2024-05-11T07:06:52.725882image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T07:06:53.012825image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 330
95.9%
0 14
 
4.1%

월세액
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size2.8 KiB
<NA>
330 
0
 
14

Length

Max length4
Median length4
Mean length3.877907
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> 330
95.9%
0 14
 
4.1%

Length

2024-05-11T07:06:53.376456image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T07:06:53.784022image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 330
95.9%
0 14
 
4.1%

다중이용업소여부
Boolean

CONSTANT  MISSING 

Distinct1
Distinct (%)0.4%
Missing74
Missing (%)21.5%
Memory size820.0 B
False
270 
(Missing)
74 
ValueCountFrequency (%)
False 270
78.5%
(Missing) 74
 
21.5%
2024-05-11T07:06:54.018449image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

시설총규모
Real number (ℝ)

MISSING 

Distinct239
Distinct (%)88.5%
Missing74
Missing (%)21.5%
Infinite0
Infinite (%)0.0%
Mean55.838556
Minimum0
Maximum310.06
Zeros3
Zeros (%)0.9%
Negative0
Negative (%)0.0%
Memory size3.2 KiB
2024-05-11T07:06:54.315109image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile9.909
Q123
median37.545
Q366.615
95-th percentile164.142
Maximum310.06
Range310.06
Interquartile range (IQR)43.615

Descriptive statistics

Standard deviation52.793265
Coefficient of variation (CV)0.94546259
Kurtosis6.0195231
Mean55.838556
Median Absolute Deviation (MAD)20.115
Skewness2.2267957
Sum15076.41
Variance2787.1289
MonotonicityNot monotonic
2024-05-11T07:06:54.845469image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
35.3 3
 
0.9%
26.4 3
 
0.9%
15.0 3
 
0.9%
33.0 3
 
0.9%
0.0 3
 
0.9%
30.0 3
 
0.9%
45.0 2
 
0.6%
12.0 2
 
0.6%
65.14 2
 
0.6%
9.9 2
 
0.6%
Other values (229) 244
70.9%
(Missing) 74
 
21.5%
ValueCountFrequency (%)
0.0 3
0.9%
5.0 1
 
0.3%
5.25 1
 
0.3%
6.7 1
 
0.3%
7.8 1
 
0.3%
8.0 1
 
0.3%
8.1 1
 
0.3%
8.2 1
 
0.3%
8.25 1
 
0.3%
9.0 1
 
0.3%
ValueCountFrequency (%)
310.06 1
0.3%
303.45 1
0.3%
289.56 1
0.3%
287.47 1
0.3%
225.0 1
0.3%
204.9 1
0.3%
189.74 1
0.3%
188.82 1
0.3%
186.1 1
0.3%
185.12 1
0.3%

전통업소지정번호
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing344
Missing (%)100.0%
Memory size3.2 KiB

전통업소주된음식
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing344
Missing (%)100.0%
Memory size3.2 KiB

홈페이지
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing344
Missing (%)100.0%
Memory size3.2 KiB

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)위생업태명남성종사자수여성종사자수영업장주변구분명등급구분명급수시설구분명총인원본사종업원수공장사무직종업원수공장판매직종업원수공장생산직종업원수건물소유구분명보증액월세액다중이용업소여부시설총규모전통업소지정번호전통업소주된음식홈페이지
030000003000000-121-1969-0000119690819<NA>1영업/정상1영업<NA><NA><NA><NA>02 2655883<NA>110420서울특별시 종로구 관수동 158-2번지<NA><NA>홍콩2002-07-15 00:00:00I2018-08-31 23:59:59.0제과점영업198962.604679451875.525715제과점영업12유흥업소밀집지역자율상수도전용<NA><NA><NA><NA><NA><NA><NA><NA>N20.4<NA><NA><NA>
130000003000000-121-1972-0000119720620<NA>3폐업2폐업20090514<NA><NA><NA>02 2667462<NA>110430서울특별시 종로구 장사동 130-1번지<NA><NA>뉴보리수2001-12-27 00:00:00I2018-08-31 23:59:59.0제과점영업199461.872261451899.893544제과점영업01기타갑상수도전용<NA><NA><NA><NA><NA><NA><NA><NA>N0.0<NA><NA><NA>
230000003000000-121-1978-0000119780711<NA>1영업/정상1영업<NA><NA><NA><NA>0207348775<NA>110121서울특별시 종로구 종로1가 32-0번지<NA><NA>독일빵집2001-11-20 00:00:00I2018-08-31 23:59:59.0제과점영업<NA><NA>제과점영업12기타자율상수도전용<NA><NA><NA><NA><NA><NA><NA><NA>N84.82<NA><NA><NA>
330000003000000-121-1978-0000219780707<NA>1영업/정상1영업<NA><NA><NA><NA>02 7631368<NA>110450서울특별시 종로구 원남동 194번지서울특별시 종로구 창경궁로21길 17-6 (원남동)3136원남2001-12-27 00:00:00I2018-08-31 23:59:59.0제과점영업199605.495113452588.063131제과점영업02기타갑상수도전용<NA><NA><NA><NA><NA><NA><NA><NA>N98.55<NA><NA><NA>
430000003000000-121-1980-0000119801215<NA>3폐업2폐업20091029<NA><NA><NA>02 7356122<NA>110080서울특별시 종로구 무악동 42-2번지<NA><NA>빵마을2001-09-29 00:00:00I2018-08-31 23:59:59.0제과점영업196216.695085452495.36188제과점영업12기타자율상수도전용<NA><NA><NA><NA><NA><NA><NA><NA>N22.3<NA><NA><NA>
530000003000000-121-1980-0000219800618<NA>1영업/정상1영업<NA><NA><NA><NA>02 3792815<NA>110830서울특별시 종로구 신영동 119-1번지<NA><NA>퐁네트과자점2002-09-28 00:00:00I2018-08-31 23:59:59.0제과점영업196546.566347455540.988089제과점영업12기타자율상수도전용<NA><NA><NA><NA><NA><NA><NA><NA>N35.54<NA><NA><NA>
630000003000000-121-1981-0000119811012<NA>3폐업2폐업20211206<NA><NA><NA><NA>113.71110300서울특별시 종로구 관훈동 123-4서울특별시 종로구 인사동길 60 (관훈동)3146브레댄코 안국점2021-12-06 16:36:28U2021-12-08 02:40:00.0제과점영업198485.81706452554.331524제과점영업11기타자율상수도전용00000<NA>00N113.71<NA><NA><NA>
730000003000000-121-1981-0000219811224<NA>3폐업2폐업20051227<NA><NA><NA>0232175666<NA>110817서울특별시 종로구 부암동 274-1번지<NA><NA>퐁슬레제과점2001-09-27 00:00:00I2018-08-31 23:59:59.0제과점영업196791.150994454517.364203제과점영업12주택가주변자율상수도전용<NA><NA><NA><NA><NA><NA><NA><NA>N58.0<NA><NA><NA>
830000003000000-121-1982-0000119821211<NA>1영업/정상1영업<NA><NA><NA><NA>02 764563830.5110861서울특별시 종로구 창신동 17-12번지서울특별시 종로구 지봉로 91-1, 1층 (창신동)3094뚜레쥬르 창신점2020-04-02 15:23:51U2020-04-04 02:40:00.0제과점영업201268.660301452884.011294제과점영업12기타자율상수도전용<NA><NA><NA><NA><NA><NA><NA><NA>N30.5<NA><NA><NA>
930000003000000-121-1982-0000219820709<NA>3폐업2폐업20051230<NA><NA><NA>02 2876300<NA>110846서울특별시 종로구 평창동 108-2번지<NA><NA>셀란2005-04-28 00:00:00I2018-08-31 23:59:59.0제과점영업197949.002174456478.436791제과점영업12기타자율상수도전용<NA><NA><NA><NA><NA><NA><NA><NA>N55.5<NA><NA><NA>
개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)위생업태명남성종사자수여성종사자수영업장주변구분명등급구분명급수시설구분명총인원본사종업원수공장사무직종업원수공장판매직종업원수공장생산직종업원수건물소유구분명보증액월세액다중이용업소여부시설총규모전통업소지정번호전통업소주된음식홈페이지
33430000003000000-121-2023-000182023-12-13<NA>3폐업2폐업2024-01-21<NA><NA><NA><NA>0.0110-821서울특별시 종로구 세종로 80-1 세종로지하주차장서울특별시 종로구 세종대로 지하 189, 세종로지하주차장 지상 세종로공원 일대 (세종로)3172코너케이크스튜디오2024-01-22 04:15:09U2023-11-30 22:04:00.0제과점영업197802.707703452342.759829<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
33530000003000000-121-2023-000192023-12-13<NA>3폐업2폐업2023-12-31<NA><NA><NA><NA>0.0110-821서울특별시 종로구 세종로 80-1 세종로지하주차장서울특별시 종로구 세종대로 지하 189, 세종로지하주차장 지상 세종로공원 일대 (세종로)3172쿠키밍2024-01-01 04:15:08U2023-12-01 00:03:00.0제과점영업197802.707703452342.759829<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
33630000003000000-121-2023-000202023-12-13<NA>3폐업2폐업2024-01-21<NA><NA><NA><NA>0.0110-821서울특별시 종로구 세종로 80-1 세종로지하주차장서울특별시 종로구 세종대로 지하 189, 세종로지하주차장 지상 세종로공원 일대 (세종로)3172쿠키밍2024-01-22 04:15:09U2023-11-30 22:04:00.0제과점영업197802.707703452342.759829<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
33730000003000000-121-2023-000212023-12-28<NA>1영업/정상1영업<NA><NA><NA><NA>02 747 0625187.12110-250서울특별시 종로구 재동 107-1서울특별시 종로구 북촌로 3, 지상 1층 (재동)3060랜디스도넛 안국점2023-12-28 10:36:04I2022-11-01 21:00:00.0제과점영업198669.799884452764.298887<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
33830000003000000-121-2023-000222023-12-29<NA>1영업/정상1영업<NA><NA><NA><NA><NA>26.4110-240서울특별시 종로구 안국동 164서울특별시 종로구 율곡로 45, 2층 (안국동)3060주식회사 엘비엠2024-01-22 13:46:38U2023-11-30 22:04:00.0제과점영업198548.664191452679.314072<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
33930000003000000-121-2024-000012024-01-05<NA>1영업/정상1영업<NA><NA><NA><NA><NA>49.0110-044서울특별시 종로구 필운동 57-3서울특별시 종로구 필운대로1길 20, 1층 (필운동)3039샐리 컵케이크2024-01-05 11:40:53I2023-12-01 00:07:00.0제과점영업197141.693018452834.240222<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
34030000003000000-121-2024-000022024-02-22<NA>1영업/정상1영업<NA><NA><NA><NA><NA>4.0110-034서울특별시 종로구 창성동 131서울특별시 종로구 자하문로10길 7, 지상 1, 2층 (창성동)3043카페 포르트 (Cafe PORTE)2024-02-22 17:11:18I2023-12-01 22:04:00.0제과점영업197448.327811453036.432074<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
34130000003000000-121-2024-000032024-03-19<NA>1영업/정상1영업<NA><NA><NA><NA><NA>105.6110-130서울특별시 종로구 청진동 18서울특별시 종로구 종로5길 34, 1층 (청진동)3158뚜레쥬로 종로구청점2024-03-19 17:17:21I2023-12-02 22:01:00.0제과점영업198219.863096452170.272384<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
34230000003000000-121-2024-000042024-04-08<NA>1영업/정상1영업<NA><NA><NA><NA>02 741 6031102.84110-809서울특별시 종로구 동숭동 25-7서울특별시 종로구 동숭3길 33, 지상 1층 (동숭동)3085크림슨파더2024-04-08 13:32:58I2023-12-03 23:00:00.0제과점영업200329.599531453365.48287<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
34330000003000000-121-2024-000052024-04-24<NA>1영업/정상1영업<NA><NA><NA><NA><NA>17.39110-250서울특별시 종로구 재동 84-45서울특별시 종로구 계동길 19-8, 1층 (재동)3059도토리 가든2024-04-24 14:38:00I2023-12-03 22:06:00.0제과점영업198721.182921452866.196434<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>