Overview

Dataset statistics

Number of variables44
Number of observations60
Missing cells523
Missing cells (%)19.8%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory22.2 KiB
Average record size in memory378.2 B

Variable types

Categorical22
Text6
DateTime3
Unsupported7
Numeric5
Boolean1

Dataset

Description개방자치단체코드,관리번호,인허가일자,인허가취소일자,영업상태코드,영업상태명,상세영업상태코드,상세영업상태명,폐업일자,휴업시작일자,휴업종료일자,재개업일자,전화번호,소재지면적,소재지우편번호,지번주소,도로명주소,도로명우편번호,사업장명,최종수정일자,데이터갱신구분,데이터갱신일자,업태구분명,좌표정보(X),좌표정보(Y),위생업태명,남성종사자수,여성종사자수,영업장주변구분명,등급구분명,급수시설구분명,총인원,본사종업원수,공장사무직종업원수,공장판매직종업원수,공장생산직종업원수,건물소유구분명,보증액,월세액,다중이용업소여부,시설총규모,전통업소지정번호,전통업소주된음식,홈페이지
Author강남구
URLhttps://data.seoul.go.kr/dataList/OA-18224/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
업태구분명 has constant value ""Constant
다중이용업소여부 has constant value ""Constant
영업장주변구분명 is highly imbalanced (58.6%)Imbalance
등급구분명 is highly imbalanced (68.8%)Imbalance
총인원 is highly imbalanced (58.6%)Imbalance
인허가취소일자 has 60 (100.0%) missing valuesMissing
폐업일자 has 16 (26.7%) missing valuesMissing
휴업시작일자 has 60 (100.0%) missing valuesMissing
휴업종료일자 has 60 (100.0%) missing valuesMissing
재개업일자 has 60 (100.0%) missing valuesMissing
전화번호 has 15 (25.0%) missing valuesMissing
소재지면적 has 4 (6.7%) missing valuesMissing
도로명주소 has 22 (36.7%) missing valuesMissing
도로명우편번호 has 22 (36.7%) missing valuesMissing
다중이용업소여부 has 12 (20.0%) missing valuesMissing
시설총규모 has 12 (20.0%) missing valuesMissing
전통업소지정번호 has 60 (100.0%) missing valuesMissing
전통업소주된음식 has 60 (100.0%) missing valuesMissing
홈페이지 has 60 (100.0%) missing valuesMissing
관리번호 has unique valuesUnique
사업장명 has unique valuesUnique
인허가취소일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
휴업시작일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
휴업종료일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
재개업일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
전통업소지정번호 is an unsupported type, check if it needs cleaning or further analysisUnsupported
전통업소주된음식 is an unsupported type, check if it needs cleaning or further analysisUnsupported
홈페이지 is an unsupported type, check if it needs cleaning or further analysisUnsupported
소재지면적 has 1 (1.7%) zerosZeros
시설총규모 has 33 (55.0%) zerosZeros

Reproduction

Analysis started2024-04-29 19:39:44.885106
Analysis finished2024-04-29 19:39:45.648316
Duration0.76 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)1.7%
Missing0
Missing (%)0.0%
Memory size612.0 B
3220000
60 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3220000
2nd row3220000
3rd row3220000
4th row3220000
5th row3220000

Common Values

ValueCountFrequency (%)
3220000 60
100.0%

Length

2024-04-30T04:39:45.722188image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:39:45.812686image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3220000 60
100.0%

관리번호
Text

UNIQUE 

Distinct60
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size612.0 B
2024-04-30T04:39:45.955094image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length22
Median length22
Mean length22
Min length22

Characters and Unicode

Total characters1320
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

Unique60 ?
Unique (%)100.0%

Sample

1st row3220000-117-1982-00001
2nd row3220000-117-1992-00001
3rd row3220000-117-1998-00638
4th row3220000-117-1998-00639
5th row3220000-117-1998-00640
ValueCountFrequency (%)
3220000-117-1982-00001 1
 
1.7%
3220000-117-1992-00001 1
 
1.7%
3220000-117-2015-00002 1
 
1.7%
3220000-117-2009-00002 1
 
1.7%
3220000-117-2010-00001 1
 
1.7%
3220000-117-2011-00001 1
 
1.7%
3220000-117-2011-00002 1
 
1.7%
3220000-117-2011-00003 1
 
1.7%
3220000-117-2012-00001 1
 
1.7%
3220000-117-2012-00002 1
 
1.7%
Other values (50) 50
83.3%
2024-04-30T04:39:46.240406image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 557
42.2%
2 207
 
15.7%
- 180
 
13.6%
1 174
 
13.2%
3 77
 
5.8%
7 64
 
4.8%
9 19
 
1.4%
4 15
 
1.1%
6 10
 
0.8%
5 9
 
0.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1140
86.4%
Dash Punctuation 180
 
13.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 557
48.9%
2 207
 
18.2%
1 174
 
15.3%
3 77
 
6.8%
7 64
 
5.6%
9 19
 
1.7%
4 15
 
1.3%
6 10
 
0.9%
5 9
 
0.8%
8 8
 
0.7%
Dash Punctuation
ValueCountFrequency (%)
- 180
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1320
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 557
42.2%
2 207
 
15.7%
- 180
 
13.6%
1 174
 
13.2%
3 77
 
5.8%
7 64
 
4.8%
9 19
 
1.4%
4 15
 
1.1%
6 10
 
0.8%
5 9
 
0.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1320
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 557
42.2%
2 207
 
15.7%
- 180
 
13.6%
1 174
 
13.2%
3 77
 
5.8%
7 64
 
4.8%
9 19
 
1.4%
4 15
 
1.1%
6 10
 
0.8%
5 9
 
0.7%

인허가일자
Date

Distinct58
Distinct (%)96.7%
Missing0
Missing (%)0.0%
Memory size612.0 B
Minimum1982-08-26 00:00:00
Maximum2024-04-24 00:00:00
2024-04-30T04:39:46.368311image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T04:39:46.517636image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing60
Missing (%)100.0%
Memory size672.0 B

영업상태코드
Categorical

Distinct2
Distinct (%)3.3%
Missing0
Missing (%)0.0%
Memory size612.0 B
3
44 
1
16 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
3 44
73.3%
1 16
 
26.7%

Length

2024-04-30T04:39:46.636579image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:39:46.723952image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 44
73.3%
1 16
 
26.7%

영업상태명
Categorical

Distinct2
Distinct (%)3.3%
Missing0
Missing (%)0.0%
Memory size612.0 B
폐업
44 
영업/정상
16 

Length

Max length5
Median length2
Mean length2.8
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 44
73.3%
영업/정상 16
 
26.7%

Length

2024-04-30T04:39:46.819536image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:39:46.905478image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 44
73.3%
영업/정상 16
 
26.7%

상세영업상태코드
Categorical

Distinct2
Distinct (%)3.3%
Missing0
Missing (%)0.0%
Memory size612.0 B
2
44 
1
16 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
2 44
73.3%
1 16
 
26.7%

Length

2024-04-30T04:39:46.985214image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:39:47.060662image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2 44
73.3%
1 16
 
26.7%

상세영업상태명
Categorical

Distinct2
Distinct (%)3.3%
Missing0
Missing (%)0.0%
Memory size612.0 B
폐업
44 
영업
16 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 44
73.3%
영업 16
 
26.7%

Length

2024-04-30T04:39:47.150745image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:39:47.224549image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 44
73.3%
영업 16
 
26.7%

폐업일자
Date

MISSING 

Distinct39
Distinct (%)88.6%
Missing16
Missing (%)26.7%
Memory size612.0 B
Minimum1998-08-12 00:00:00
Maximum2024-01-18 00:00:00
2024-04-30T04:39:47.302196image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T04:39:47.418730image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=39)

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing60
Missing (%)100.0%
Memory size672.0 B

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing60
Missing (%)100.0%
Memory size672.0 B

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing60
Missing (%)100.0%
Memory size672.0 B

전화번호
Text

MISSING 

Distinct45
Distinct (%)100.0%
Missing15
Missing (%)25.0%
Memory size612.0 B
2024-04-30T04:39:47.592671image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length11
Mean length10.222222
Min length2

Characters and Unicode

Total characters460
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

Unique45 ?
Unique (%)100.0%

Sample

1st row02
2nd row02 5715585
3rd row02 0
4th row02 5660615
5th row02 5087075
ValueCountFrequency (%)
02 31
36.9%
60072028 1
 
1.2%
34974240 1
 
1.2%
20404143 1
 
1.2%
558 1
 
1.2%
7841 1
 
1.2%
574 1
 
1.2%
7472 1
 
1.2%
20511058 1
 
1.2%
34842662 1
 
1.2%
Other values (44) 44
52.4%
2024-04-30T04:39:47.867337image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 78
17.0%
2 67
14.6%
61
13.3%
5 54
11.7%
4 41
8.9%
1 31
 
6.7%
8 29
 
6.3%
6 27
 
5.9%
7 27
 
5.9%
3 25
 
5.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 399
86.7%
Space Separator 61
 
13.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 78
19.5%
2 67
16.8%
5 54
13.5%
4 41
10.3%
1 31
 
7.8%
8 29
 
7.3%
6 27
 
6.8%
7 27
 
6.8%
3 25
 
6.3%
9 20
 
5.0%
Space Separator
ValueCountFrequency (%)
61
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 460
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 78
17.0%
2 67
14.6%
61
13.3%
5 54
11.7%
4 41
8.9%
1 31
 
6.7%
8 29
 
6.3%
6 27
 
5.9%
7 27
 
5.9%
3 25
 
5.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 460
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 78
17.0%
2 67
14.6%
61
13.3%
5 54
11.7%
4 41
8.9%
1 31
 
6.7%
8 29
 
6.3%
6 27
 
5.9%
7 27
 
5.9%
3 25
 
5.4%

소재지면적
Real number (ℝ)

MISSING  ZEROS 

Distinct52
Distinct (%)92.9%
Missing4
Missing (%)6.7%
Infinite0
Infinite (%)0.0%
Mean117.32982
Minimum0
Maximum680
Zeros1
Zeros (%)1.7%
Negative0
Negative (%)0.0%
Memory size672.0 B
2024-04-30T04:39:47.997407image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile4.75
Q138.075
median85.075
Q3145.875
95-th percentile325.1675
Maximum680
Range680
Interquartile range (IQR)107.8

Descriptive statistics

Standard deviation120.4088
Coefficient of variation (CV)1.0262421
Kurtosis7.877225
Mean117.32982
Median Absolute Deviation (MAD)51.075
Skewness2.3624783
Sum6570.47
Variance14498.28
MonotonicityNot monotonic
2024-04-30T04:39:48.120248image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
99.17 2
 
3.3%
45.0 2
 
3.3%
33.0 2
 
3.3%
31.91 2
 
3.3%
128.7 1
 
1.7%
214.0 1
 
1.7%
148.5 1
 
1.7%
55.0 1
 
1.7%
212.73 1
 
1.7%
400.5 1
 
1.7%
Other values (42) 42
70.0%
(Missing) 4
 
6.7%
ValueCountFrequency (%)
0.0 1
1.7%
3.0 1
1.7%
4.0 1
1.7%
5.0 1
1.7%
9.91 1
1.7%
17.15 1
1.7%
23.14 1
1.7%
26.44 1
1.7%
30.0 1
1.7%
31.91 2
3.3%
ValueCountFrequency (%)
680.0 1
1.7%
400.5 1
1.7%
340.07 1
1.7%
320.2 1
1.7%
282.5 1
1.7%
266.2 1
1.7%
250.0 1
1.7%
247.48 1
1.7%
214.0 1
1.7%
212.73 1
1.7%

소재지우편번호
Text

Distinct42
Distinct (%)70.0%
Missing0
Missing (%)0.0%
Memory size612.0 B
2024-04-30T04:39:48.312614image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length6
Mean length6.15
Min length6

Characters and Unicode

Total characters369
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

Unique31 ?
Unique (%)51.7%

Sample

1st row135928
2nd row135994
3rd row135818
4th row135916
5th row135881
ValueCountFrequency (%)
135939 4
 
6.7%
135965 4
 
6.7%
135818 3
 
5.0%
135962 3
 
5.0%
135943 3
 
5.0%
135863 2
 
3.3%
135937 2
 
3.3%
135881 2
 
3.3%
135917 2
 
3.3%
135961 2
 
3.3%
Other values (32) 33
55.0%
2024-04-30T04:39:48.588624image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 84
22.8%
3 79
21.4%
5 71
19.2%
9 41
11.1%
8 34
9.2%
6 14
 
3.8%
7 12
 
3.3%
4 11
 
3.0%
2 9
 
2.4%
- 9
 
2.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 360
97.6%
Dash Punctuation 9
 
2.4%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 84
23.3%
3 79
21.9%
5 71
19.7%
9 41
11.4%
8 34
9.4%
6 14
 
3.9%
7 12
 
3.3%
4 11
 
3.1%
2 9
 
2.5%
0 5
 
1.4%
Dash Punctuation
ValueCountFrequency (%)
- 9
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 369
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
1 84
22.8%
3 79
21.4%
5 71
19.2%
9 41
11.1%
8 34
9.2%
6 14
 
3.8%
7 12
 
3.3%
4 11
 
3.0%
2 9
 
2.4%
- 9
 
2.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 369
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 84
22.8%
3 79
21.4%
5 71
19.2%
9 41
11.1%
8 34
9.2%
6 14
 
3.8%
7 12
 
3.3%
4 11
 
3.0%
2 9
 
2.4%
- 9
 
2.4%

지번주소
Text

Distinct52
Distinct (%)86.7%
Missing0
Missing (%)0.0%
Memory size612.0 B
2024-04-30T04:39:48.767767image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length38
Median length32
Mean length26.65
Min length18

Characters and Unicode

Total characters1599
Distinct characters93
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique45 ?
Unique (%)75.0%

Sample

1st row서울특별시 강남구 역삼동 ***-**번지
2nd row서울특별시 강남구 개포동 ***-** 소망빌딩
3rd row서울특별시 강남구 논현동 **-*번지
4th row서울특별시 강남구 역삼동 ***-**번지
5th row서울특별시 강남구 삼성동 ***-*번지 정오빌딩 *층
ValueCountFrequency (%)
서울특별시 60
20.6%
강남구 60
20.6%
번지 39
13.4%
23
 
7.9%
개포동 14
 
4.8%
논현동 12
 
4.1%
역삼동 11
 
3.8%
삼성동 9
 
3.1%
지상*층 7
 
2.4%
호 6
 
2.1%
Other values (36) 50
17.2%
2024-04-30T04:39:49.075863image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
* 335
21.0%
276
17.3%
서 64
 
4.0%
동 62
 
3.9%
시 61
 
3.8%
강 61
 
3.8%
남 61
 
3.8%
특 60
 
3.8%
별 60
 
3.8%
구 60
 
3.8%
Other values (83) 499
31.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 919
57.5%
Other Punctuation 335
 
21.0%
Space Separator 276
 
17.3%
Dash Punctuation 56
 
3.5%
Uppercase Letter 11
 
0.7%
Open Punctuation 1
 
0.1%
Close Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
서 64
 
7.0%
동 62
 
6.7%
시 61
 
6.6%
강 61
 
6.6%
남 61
 
6.6%
특 60
 
6.5%
별 60
 
6.5%
구 60
 
6.5%
울 60
 
6.5%
지 53
 
5.8%
Other values (69) 317
34.5%
Uppercase Letter
ValueCountFrequency (%)
T 2
18.2%
R 2
18.2%
S 1
9.1%
K 1
9.1%
O 1
9.1%
I 1
9.1%
F 1
9.1%
A 1
9.1%
N 1
9.1%
Other Punctuation
ValueCountFrequency (%)
* 335
100.0%
Space Separator
ValueCountFrequency (%)
276
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 56
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 919
57.5%
Common 669
41.8%
Latin 11
 
0.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
서 64
 
7.0%
동 62
 
6.7%
시 61
 
6.6%
강 61
 
6.6%
남 61
 
6.6%
특 60
 
6.5%
별 60
 
6.5%
구 60
 
6.5%
울 60
 
6.5%
지 53
 
5.8%
Other values (69) 317
34.5%
Latin
ValueCountFrequency (%)
T 2
18.2%
R 2
18.2%
S 1
9.1%
K 1
9.1%
O 1
9.1%
I 1
9.1%
F 1
9.1%
A 1
9.1%
N 1
9.1%
Common
ValueCountFrequency (%)
* 335
50.1%
276
41.3%
- 56
 
8.4%
( 1
 
0.1%
) 1
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 919
57.5%
ASCII 680
42.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
* 335
49.3%
276
40.6%
- 56
 
8.2%
T 2
 
0.3%
R 2
 
0.3%
S 1
 
0.1%
K 1
 
0.1%
O 1
 
0.1%
I 1
 
0.1%
F 1
 
0.1%
Other values (4) 4
 
0.6%
Hangul
ValueCountFrequency (%)
서 64
 
7.0%
동 62
 
6.7%
시 61
 
6.6%
강 61
 
6.6%
남 61
 
6.6%
특 60
 
6.5%
별 60
 
6.5%
구 60
 
6.5%
울 60
 
6.5%
지 53
 
5.8%
Other values (69) 317
34.5%

도로명주소
Text

MISSING 

Distinct38
Distinct (%)100.0%
Missing22
Missing (%)36.7%
Memory size612.0 B
2024-04-30T04:39:49.272583image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length52
Median length38
Mean length35.157895
Min length23

Characters and Unicode

Total characters1336
Distinct characters103
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique38 ?
Unique (%)100.0%

Sample

1st row서울특별시 강남구 개포로 ***, 소망빌딩 지하*층 ***호 (개포동)
2nd row서울특별시 강남구 압구정로**길 **, 청담동 빌딩 *층 (청담동)
3rd row서울특별시 강남구 학동로**길 * (삼성동,지상*층***호)
4th row서울특별시 강남구 개포로**길 **, 지상*층 ***호 (개포동)
5th row서울특별시 강남구 언주로 *** (논현동,지상*층 ***호)
ValueCountFrequency (%)
서울특별시 38
15.1%
38
15.1%
강남구 38
15.1%
호 13
 
5.2%
층 12
 
4.8%
지상*층 10
 
4.0%
논현동 7
 
2.8%
삼성동 5
 
2.0%
개포로 5
 
2.0%
개포동 4
 
1.6%
Other values (52) 81
32.3%
2024-04-30T04:39:49.565797image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
* 239
17.9%
213
 
15.9%
동 44
 
3.3%
, 42
 
3.1%
서 40
 
3.0%
강 40
 
3.0%
남 40
 
3.0%
구 40
 
3.0%
( 39
 
2.9%
로 39
 
2.9%
Other values (93) 560
41.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 745
55.8%
Other Punctuation 281
 
21.0%
Space Separator 213
 
15.9%
Open Punctuation 39
 
2.9%
Close Punctuation 39
 
2.9%
Uppercase Letter 11
 
0.8%
Dash Punctuation 8
 
0.6%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 44
 
5.9%
서 40
 
5.4%
강 40
 
5.4%
남 40
 
5.4%
구 40
 
5.4%
로 39
 
5.2%
시 39
 
5.2%
울 38
 
5.1%
별 38
 
5.1%
특 38
 
5.1%
Other values (78) 349
46.8%
Uppercase Letter
ValueCountFrequency (%)
R 2
18.2%
T 2
18.2%
K 1
9.1%
S 1
9.1%
I 1
9.1%
F 1
9.1%
A 1
9.1%
O 1
9.1%
N 1
9.1%
Other Punctuation
ValueCountFrequency (%)
* 239
85.1%
, 42
 
14.9%
Space Separator
ValueCountFrequency (%)
213
100.0%
Open Punctuation
ValueCountFrequency (%)
( 39
100.0%
Close Punctuation
ValueCountFrequency (%)
) 39
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 8
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 745
55.8%
Common 580
43.4%
Latin 11
 
0.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 44
 
5.9%
서 40
 
5.4%
강 40
 
5.4%
남 40
 
5.4%
구 40
 
5.4%
로 39
 
5.2%
시 39
 
5.2%
울 38
 
5.1%
별 38
 
5.1%
특 38
 
5.1%
Other values (78) 349
46.8%
Latin
ValueCountFrequency (%)
R 2
18.2%
T 2
18.2%
K 1
9.1%
S 1
9.1%
I 1
9.1%
F 1
9.1%
A 1
9.1%
O 1
9.1%
N 1
9.1%
Common
ValueCountFrequency (%)
* 239
41.2%
213
36.7%
, 42
 
7.2%
( 39
 
6.7%
) 39
 
6.7%
- 8
 
1.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 745
55.8%
ASCII 591
44.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
* 239
40.4%
213
36.0%
, 42
 
7.1%
( 39
 
6.6%
) 39
 
6.6%
- 8
 
1.4%
R 2
 
0.3%
T 2
 
0.3%
K 1
 
0.2%
S 1
 
0.2%
Other values (5) 5
 
0.8%
Hangul
ValueCountFrequency (%)
동 44
 
5.9%
서 40
 
5.4%
강 40
 
5.4%
남 40
 
5.4%
구 40
 
5.4%
로 39
 
5.2%
시 39
 
5.2%
울 38
 
5.1%
별 38
 
5.1%
특 38
 
5.1%
Other values (78) 349
46.8%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct32
Distinct (%)84.2%
Missing22
Missing (%)36.7%
Infinite0
Infinite (%)0.0%
Mean6190.1316
Minimum6015
Maximum6377
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size672.0 B
2024-04-30T04:39:49.674911image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum6015
5-th percentile6028.25
Q16098
median6187.5
Q36306.75
95-th percentile6340.5
Maximum6377
Range362
Interquartile range (IQR)208.75

Descriptive statistics

Standard deviation113.98344
Coefficient of variation (CV)0.018413735
Kurtosis-1.4081998
Mean6190.1316
Median Absolute Deviation (MAD)107.5
Skewness0.056393378
Sum235225
Variance12992.225
MonotonicityNot monotonic
2024-04-30T04:39:49.797915image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=32)
ValueCountFrequency (%)
6109 3
 
5.0%
6339 3
 
5.0%
6088 2
 
3.3%
6303 2
 
3.3%
6193 1
 
1.7%
6252 1
 
1.7%
6101 1
 
1.7%
6159 1
 
1.7%
6233 1
 
1.7%
6097 1
 
1.7%
Other values (22) 22
36.7%
(Missing) 22
36.7%
ValueCountFrequency (%)
6015 1
1.7%
6024 1
1.7%
6029 1
1.7%
6031 1
1.7%
6039 1
1.7%
6054 1
1.7%
6060 1
1.7%
6088 2
3.3%
6097 1
1.7%
6101 1
1.7%
ValueCountFrequency (%)
6377 1
 
1.7%
6349 1
 
1.7%
6339 3
5.0%
6336 1
 
1.7%
6329 1
 
1.7%
6314 1
 
1.7%
6309 1
 
1.7%
6308 1
 
1.7%
6303 2
3.3%
6259 1
 
1.7%

사업장명
Text

UNIQUE 

Distinct60
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size612.0 B
2024-04-30T04:39:50.014619image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length11
Mean length7.9
Min length2

Characters and Unicode

Total characters474
Distinct characters145
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique60 ?
Unique (%)100.0%

Sample

1st row원강냉동
2nd row(주)한국트라
3rd row학동냉동
4th row코리아협화
5th row(주)그릴랜드
ValueCountFrequency (%)
주식회사 7
 
10.1%
원강냉동 1
 
1.4%
주)충서물류 1
 
1.4%
거성물산 1
 
1.4%
주)엠로지텍 1
 
1.4%
복전푸드 1
 
1.4%
서비스 1
 
1.4%
주)우와식품 1
 
1.4%
주)동부익스프레스 1
 
1.4%
주)건영물류 1
 
1.4%
Other values (53) 53
76.8%
2024-04-30T04:39:50.344007image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 48
 
10.1%
( 40
 
8.4%
) 40
 
8.4%
스 27
 
5.7%
로 13
 
2.7%
물 11
 
2.3%
지 11
 
2.3%
사 9
 
1.9%
에 9
 
1.9%
9
 
1.9%
Other values (135) 257
54.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 385
81.2%
Open Punctuation 40
 
8.4%
Close Punctuation 40
 
8.4%
Space Separator 9
 
1.9%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 48
 
12.5%
스 27
 
7.0%
로 13
 
3.4%
물 11
 
2.9%
지 11
 
2.9%
사 9
 
2.3%
에 9
 
2.3%
류 9
 
2.3%
식 8
 
2.1%
트 7
 
1.8%
Other values (132) 233
60.5%
Open Punctuation
ValueCountFrequency (%)
( 40
100.0%
Close Punctuation
ValueCountFrequency (%)
) 40
100.0%
Space Separator
ValueCountFrequency (%)
9
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 385
81.2%
Common 89
 
18.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 48
 
12.5%
스 27
 
7.0%
로 13
 
3.4%
물 11
 
2.9%
지 11
 
2.9%
사 9
 
2.3%
에 9
 
2.3%
류 9
 
2.3%
식 8
 
2.1%
트 7
 
1.8%
Other values (132) 233
60.5%
Common
ValueCountFrequency (%)
( 40
44.9%
) 40
44.9%
9
 
10.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 385
81.2%
ASCII 89
 
18.8%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 48
 
12.5%
스 27
 
7.0%
로 13
 
3.4%
물 11
 
2.9%
지 11
 
2.9%
사 9
 
2.3%
에 9
 
2.3%
류 9
 
2.3%
식 8
 
2.1%
트 7
 
1.8%
Other values (132) 233
60.5%
ASCII
ValueCountFrequency (%)
( 40
44.9%
) 40
44.9%
9
 
10.1%

최종수정일자
Date

Distinct56
Distinct (%)93.3%
Missing0
Missing (%)0.0%
Memory size612.0 B
Minimum2001-09-26 00:00:00
Maximum2024-04-24 14:02:19
2024-04-30T04:39:50.464502image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T04:39:50.788948image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

데이터갱신구분
Categorical

Distinct2
Distinct (%)3.3%
Missing0
Missing (%)0.0%
Memory size612.0 B
I
38 
U
22 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
I 38
63.3%
U 22
36.7%

Length

2024-04-30T04:39:50.958289image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:39:51.043202image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 38
63.3%
u 22
36.7%

데이터갱신일자
Categorical

Distinct27
Distinct (%)45.0%
Missing0
Missing (%)0.0%
Memory size612.0 B
2018-08-31 23:59:59.0
32 
2019-11-16 02:40:00.0
 
2
2021-01-23 02:40:00.0
 
2
2022-10-31 23:06:00.0
 
1
2018-10-18 02:35:56.0
 
1
Other values (22)
22 

Length

Max length21
Median length21
Mean length21
Min length21

Unique

Unique24 ?
Unique (%)40.0%

Sample

1st row2018-08-31 23:59:59.0
2nd row2022-02-13 02:40:00.0
3rd row2018-08-31 23:59:59.0
4th row2018-08-31 23:59:59.0
5th row2018-08-31 23:59:59.0

Common Values

ValueCountFrequency (%)
2018-08-31 23:59:59.0 32
53.3%
2019-11-16 02:40:00.0 2
 
3.3%
2021-01-23 02:40:00.0 2
 
3.3%
2022-10-31 23:06:00.0 1
 
1.7%
2018-10-18 02:35:56.0 1
 
1.7%
2021-04-03 02:40:00.0 1
 
1.7%
2023-11-30 22:00:00.0 1
 
1.7%
2019-10-16 02:40:00.0 1
 
1.7%
2021-06-20 02:40:00.0 1
 
1.7%
2019-07-13 02:40:00.0 1
 
1.7%
Other values (17) 17
28.3%

Length

2024-04-30T04:39:51.133680image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
2018-08-31 32
26.7%
23:59:59.0 32
26.7%
02:40:00.0 14
11.7%
23:03:00.0 2
 
1.7%
2022-12-04 2
 
1.7%
2022-12-06 2
 
1.7%
22:00:00.0 2
 
1.7%
2022-10-31 2
 
1.7%
2021-01-23 2
 
1.7%
2019-11-16 2
 
1.7%
Other values (27) 28
23.3%

업태구분명
Categorical

CONSTANT 

Distinct1
Distinct (%)1.7%
Missing0
Missing (%)0.0%
Memory size612.0 B
식품운반업
60 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
식품운반업 60
100.0%

Length

2024-04-30T04:39:51.240582image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:39:51.322307image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
식품운반업 60
100.0%

좌표정보(X)
Real number (ℝ)

Distinct54
Distinct (%)90.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean204354.84
Minimum202046.81
Maximum209398.93
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size672.0 B
2024-04-30T04:39:51.407879image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum202046.81
5-th percentile202421.23
Q1203111.98
median204005.64
Q3204942.18
95-th percentile207474.83
Maximum209398.93
Range7352.1267
Interquartile range (IQR)1830.191

Descriptive statistics

Standard deviation1679.8673
Coefficient of variation (CV)0.0082203452
Kurtosis0.87682658
Mean204354.84
Median Absolute Deviation (MAD)906.0933
Skewness1.1342624
Sum12261290
Variance2821954.3
MonotonicityNot monotonic
2024-04-30T04:39:51.525718image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
206970.919291372 3
 
5.0%
202992.3 2
 
3.3%
204091.456582761 2
 
3.3%
203124.417767117 2
 
3.3%
203663.080890399 2
 
3.3%
203488.407295655 1
 
1.7%
202667.551184905 1
 
1.7%
202954.206679223 1
 
1.7%
204744.333113834 1
 
1.7%
203857.348183157 1
 
1.7%
Other values (44) 44
73.3%
ValueCountFrequency (%)
202046.807625089 1
1.7%
202094.476882717 1
1.7%
202335.680809309 1
1.7%
202425.73 1
1.7%
202603.676063723 1
1.7%
202667.551184905 1
1.7%
202679.692858693 1
1.7%
202791.408103498 1
1.7%
202801.183732794 1
1.7%
202803.137561335 1
1.7%
ValueCountFrequency (%)
209398.934372826 1
 
1.7%
208937.760652081 1
 
1.7%
207493.558095887 1
 
1.7%
207473.84132845 1
 
1.7%
207348.97 1
 
1.7%
206970.919291372 3
5.0%
206833.359682718 1
 
1.7%
205940.627824515 1
 
1.7%
205717.074108747 1
 
1.7%
205653.872996265 1
 
1.7%

좌표정보(Y)
Real number (ℝ)

Distinct54
Distinct (%)90.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean444312.61
Minimum440732.03
Maximum446932.18
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size672.0 B
2024-04-30T04:39:51.649174image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum440732.03
5-th percentile441351.59
Q1443294.83
median444787.35
Q3445515.15
95-th percentile446663.76
Maximum446932.18
Range6200.1491
Interquartile range (IQR)2220.322

Descriptive statistics

Standard deviation1623.2561
Coefficient of variation (CV)0.00365341
Kurtosis-0.74117683
Mean444312.61
Median Absolute Deviation (MAD)1212.94
Skewness-0.4097241
Sum26658757
Variance2634960.4
MonotonicityNot monotonic
2024-04-30T04:39:51.768207image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
443574.411625824 3
 
5.0%
445951.805 2
 
3.3%
444827.642011963 2
 
3.3%
445144.507439899 2
 
3.3%
446065.828095211 2
 
3.3%
443603.819630338 1
 
1.7%
443299.218136257 1
 
1.7%
443094.374639682 1
 
1.7%
444842.778930856 1
 
1.7%
445279.470660222 1
 
1.7%
Other values (44) 44
73.3%
ValueCountFrequency (%)
440732.028087332 1
1.7%
441301.238706233 1
1.7%
441305.008663866 1
1.7%
441354.036994165 1
1.7%
441735.088002182 1
1.7%
441876.248913056 1
1.7%
441892.101423039 1
1.7%
441921.148109459 1
1.7%
441927.748084201 1
1.7%
441931.419059088 1
1.7%
ValueCountFrequency (%)
446932.177168423 1
1.7%
446822.567815609 1
1.7%
446793.433827623 1
1.7%
446656.937041013 1
1.7%
446498.778907532 1
1.7%
446143.377985945 1
1.7%
446071.814521908 1
1.7%
446065.828095211 2
3.3%
446020.27334868 1
1.7%
445970.790826577 1
1.7%

위생업태명
Categorical

Distinct2
Distinct (%)3.3%
Missing0
Missing (%)0.0%
Memory size612.0 B
식품운반업
48 
<NA>
12 

Length

Max length5
Median length5
Mean length4.8
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
식품운반업 48
80.0%
<NA> 12
 
20.0%

Length

2024-04-30T04:39:51.897474image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:39:51.983393image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
식품운반업 48
80.0%
na 12
 
20.0%

남성종사자수
Categorical

Distinct2
Distinct (%)3.3%
Missing0
Missing (%)0.0%
Memory size612.0 B
<NA>
52 
0
8 

Length

Max length4
Median length4
Mean length3.6
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 52
86.7%
0 8
 
13.3%

Length

2024-04-30T04:39:52.086732image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:39:52.179971image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 52
86.7%
0 8
 
13.3%

여성종사자수
Categorical

Distinct2
Distinct (%)3.3%
Missing0
Missing (%)0.0%
Memory size612.0 B
<NA>
52 
0
8 

Length

Max length4
Median length4
Mean length3.6
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 52
86.7%
0 8
 
13.3%

Length

2024-04-30T04:39:52.298654image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:39:52.390402image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 52
86.7%
0 8
 
13.3%

영업장주변구분명
Categorical

IMBALANCE 

Distinct2
Distinct (%)3.3%
Missing0
Missing (%)0.0%
Memory size612.0 B
<NA>
55 
기타
 
5

Length

Max length4
Median length4
Mean length3.8333333
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 55
91.7%
기타 5
 
8.3%

Length

2024-04-30T04:39:52.478071image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:39:52.572617image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 55
91.7%
기타 5
 
8.3%

등급구분명
Categorical

IMBALANCE 

Distinct3
Distinct (%)5.0%
Missing0
Missing (%)0.0%
Memory size612.0 B
<NA>
55 
기타
 
3
자율
 
2

Length

Max length4
Median length4
Mean length3.8333333
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 55
91.7%
기타 3
 
5.0%
자율 2
 
3.3%

Length

2024-04-30T04:39:52.680219image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:39:52.783716image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 55
91.7%
기타 3
 
5.0%
자율 2
 
3.3%

급수시설구분명
Categorical

Distinct2
Distinct (%)3.3%
Missing0
Missing (%)0.0%
Memory size612.0 B
<NA>
48 
상수도전용
12 

Length

Max length5
Median length4
Mean length4.2
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 48
80.0%
상수도전용 12
 
20.0%

Length

2024-04-30T04:39:52.862898image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:39:52.942773image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 48
80.0%
상수도전용 12
 
20.0%

총인원
Categorical

IMBALANCE 

Distinct2
Distinct (%)3.3%
Missing0
Missing (%)0.0%
Memory size612.0 B
<NA>
55 
0
 
5

Length

Max length4
Median length4
Mean length3.75
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 55
91.7%
0 5
 
8.3%

Length

2024-04-30T04:39:53.044007image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:39:53.131235image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 55
91.7%
0 5
 
8.3%

본사종업원수
Categorical

Distinct2
Distinct (%)3.3%
Missing0
Missing (%)0.0%
Memory size612.0 B
<NA>
33 
0
27 

Length

Max length4
Median length4
Mean length2.65
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 33
55.0%
0 27
45.0%

Length

2024-04-30T04:39:53.216154image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:39:53.298163image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 33
55.0%
0 27
45.0%

공장사무직종업원수
Categorical

Distinct2
Distinct (%)3.3%
Missing0
Missing (%)0.0%
Memory size612.0 B
<NA>
33 
0
27 

Length

Max length4
Median length4
Mean length2.65
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 33
55.0%
0 27
45.0%

Length

2024-04-30T04:39:53.403942image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:39:53.510200image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 33
55.0%
0 27
45.0%

공장판매직종업원수
Categorical

Distinct3
Distinct (%)5.0%
Missing0
Missing (%)0.0%
Memory size612.0 B
<NA>
33 
0
26 
3
 
1

Length

Max length4
Median length4
Mean length2.65
Min length1

Unique

Unique1 ?
Unique (%)1.7%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 33
55.0%
0 26
43.3%
3 1
 
1.7%

Length

2024-04-30T04:39:53.616221image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:39:53.696655image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 33
55.0%
0 26
43.3%
3 1
 
1.7%

공장생산직종업원수
Categorical

Distinct2
Distinct (%)3.3%
Missing0
Missing (%)0.0%
Memory size612.0 B
<NA>
33 
0
27 

Length

Max length4
Median length4
Mean length2.65
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 33
55.0%
0 27
45.0%

Length

2024-04-30T04:39:53.788199image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:39:53.868136image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 33
55.0%
0 27
45.0%

건물소유구분명
Categorical

Distinct3
Distinct (%)5.0%
Missing0
Missing (%)0.0%
Memory size612.0 B
<NA>
24 
자가
22 
임대
14 

Length

Max length4
Median length2
Mean length2.8
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 24
40.0%
자가 22
36.7%
임대 14
23.3%

Length

2024-04-30T04:39:53.963808image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:39:54.059238image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 24
40.0%
자가 22
36.7%
임대 14
23.3%

보증액
Categorical

Distinct2
Distinct (%)3.3%
Missing0
Missing (%)0.0%
Memory size612.0 B
<NA>
35 
0
25 

Length

Max length4
Median length4
Mean length2.75
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 35
58.3%
0 25
41.7%

Length

2024-04-30T04:39:54.146948image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:39:54.230137image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 35
58.3%
0 25
41.7%

월세액
Categorical

Distinct2
Distinct (%)3.3%
Missing0
Missing (%)0.0%
Memory size612.0 B
<NA>
35 
0
25 

Length

Max length4
Median length4
Mean length2.75
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 35
58.3%
0 25
41.7%

Length

2024-04-30T04:39:54.316832image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:39:54.417555image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 35
58.3%
0 25
41.7%

다중이용업소여부
Boolean

CONSTANT  MISSING 

Distinct1
Distinct (%)2.1%
Missing12
Missing (%)20.0%
Memory size252.0 B
False
48 
(Missing)
12 
ValueCountFrequency (%)
False 48
80.0%
(Missing) 12
 
20.0%
2024-04-30T04:39:54.480493image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

시설총규모
Real number (ℝ)

MISSING  ZEROS 

Distinct16
Distinct (%)33.3%
Missing12
Missing (%)20.0%
Infinite0
Infinite (%)0.0%
Mean40.298125
Minimum0
Maximum400.5
Zeros33
Zeros (%)55.0%
Negative0
Negative (%)0.0%
Memory size672.0 B
2024-04-30T04:39:54.545698image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q313.525
95-th percentile213.5555
Maximum400.5
Range400.5
Interquartile range (IQR)13.525

Descriptive statistics

Standard deviation87.570667
Coefficient of variation (CV)2.1730705
Kurtosis6.1215564
Mean40.298125
Median Absolute Deviation (MAD)0
Skewness2.4874812
Sum1934.31
Variance7668.6217
MonotonicityNot monotonic
2024-04-30T04:39:54.665451image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
0.0 33
55.0%
5.0 1
 
1.7%
204.0 1
 
1.7%
194.7 1
 
1.7%
39.1 1
 
1.7%
128.7 1
 
1.7%
214.0 1
 
1.7%
4.0 1
 
1.7%
45.0 1
 
1.7%
400.5 1
 
1.7%
Other values (6) 6
 
10.0%
(Missing) 12
 
20.0%
ValueCountFrequency (%)
0.0 33
55.0%
3.0 1
 
1.7%
4.0 1
 
1.7%
5.0 1
 
1.7%
39.1 1
 
1.7%
45.0 1
 
1.7%
52.5 1
 
1.7%
79.2 1
 
1.7%
85.68 1
 
1.7%
128.7 1
 
1.7%
ValueCountFrequency (%)
400.5 1
1.7%
266.2 1
1.7%
214.0 1
1.7%
212.73 1
1.7%
204.0 1
1.7%
194.7 1
1.7%
128.7 1
1.7%
85.68 1
1.7%
79.2 1
1.7%
52.5 1
1.7%

전통업소지정번호
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing60
Missing (%)100.0%
Memory size672.0 B

전통업소주된음식
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing60
Missing (%)100.0%
Memory size672.0 B

홈페이지
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing60
Missing (%)100.0%
Memory size672.0 B

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)위생업태명남성종사자수여성종사자수영업장주변구분명등급구분명급수시설구분명총인원본사종업원수공장사무직종업원수공장판매직종업원수공장생산직종업원수건물소유구분명보증액월세액다중이용업소여부시설총규모전통업소지정번호전통업소주된음식홈페이지
032200003220000-117-1982-0000119820826<NA>3폐업2폐업20060817<NA><NA><NA>02<NA>135928서울특별시 강남구 역삼동 ***-**번지<NA><NA>원강냉동2001-09-26 00:00:00I2018-08-31 23:59:59.0식품운반업203488.407296443603.81963식품운반업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>N0.0<NA><NA><NA>
132200003220000-117-1992-0000119921117<NA>1영업/정상1영업<NA><NA><NA><NA>02 57155854.0135994서울특별시 강남구 개포동 ***-** 소망빌딩서울특별시 강남구 개포로 ***, 소망빌딩 지하*층 ***호 (개포동)6329(주)한국트라2022-02-11 09:08:08U2022-02-13 02:40:00.0식품운반업205940.627825443003.318633식품운반업00<NA><NA><NA>00000<NA>00N4.0<NA><NA><NA>
232200003220000-117-1998-0063819980328<NA>3폐업2폐업20040805<NA><NA><NA>02 017.15135818서울특별시 강남구 논현동 **-*번지<NA><NA>학동냉동2001-09-26 00:00:00I2018-08-31 23:59:59.0식품운반업202679.692859445970.790827식품운반업<NA><NA>기타기타상수도전용<NA><NA><NA><NA><NA><NA><NA><NA>N0.0<NA><NA><NA>
332200003220000-117-1998-0063919980526<NA>3폐업2폐업19980812<NA><NA><NA>02 56606150.0135916서울특별시 강남구 역삼동 ***-**번지<NA><NA>코리아협화2001-09-26 00:00:00I2018-08-31 23:59:59.0식품운반업203803.486353445225.305234식품운반업<NA><NA>기타자율상수도전용<NA><NA><NA><NA><NA><NA><NA><NA>N0.0<NA><NA><NA>
432200003220000-117-1998-0064019980702<NA>3폐업2폐업19990910<NA><NA><NA>02 508707590.22135881서울특별시 강남구 삼성동 ***-*번지 정오빌딩 *층<NA><NA>(주)그릴랜드2001-09-26 00:00:00I2018-08-31 23:59:59.0식품운반업205717.074109445683.727347식품운반업00기타자율상수도전용<NA><NA><NA><NA><NA><NA><NA><NA>N0.0<NA><NA><NA>
532200003220000-117-1999-0008919990628<NA>3폐업2폐업20000905<NA><NA><NA>0222267980132.2135939서울특별시 강남구 개포동 **-*번지 미씨***오피스텔 ***호<NA><NA>(주)진양로지스틱스2001-09-26 00:00:00I2018-08-31 23:59:59.0식품운반업206970.919291443574.411626식품운반업00기타기타상수도전용<NA><NA><NA><NA><NA><NA><NA><NA>N0.0<NA><NA><NA>
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832200003220000-117-2001-0000220011010<NA>3폐업2폐업20060222<NA><NA><NA><NA>59.5135818서울특별시 강남구 논현동 **-*번지 서림빌딩*층<NA><NA>(주)에이에프에스코퍼레이션2005-03-29 00:00:00I2018-08-31 23:59:59.0식품운반업202992.3445951.805식품운반업<NA><NA><NA><NA>상수도전용<NA>0000임대00N0.0<NA><NA><NA>
932200003220000-117-2003-0000120030320<NA>3폐업2폐업20060817<NA><NA><NA>577666166.11135965서울특별시 강남구 개포동 ****-**번지 두리빌딩*층<NA><NA>(주)류정교역2003-03-20 00:00:00I2018-08-31 23:59:59.0식품운반업203938.959338441892.101423식품운반업<NA><NA><NA><NA><NA><NA>0000임대00N0.0<NA><NA><NA>
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