Overview

Dataset statistics

Number of variables44
Number of observations88
Missing cells1058
Missing cells (%)27.3%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory32.6 KiB
Average record size in memory379.5 B

Variable types

Categorical19
Text6
DateTime4
Unsupported9
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
Author강북구
URLhttps://data.seoul.go.kr/dataList/OA-17985/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
업태구분명 has constant value ""Constant
영업장주변구분명 has constant value ""Constant
다중이용업소여부 has constant value ""Constant
총인원 is highly imbalanced (59.9%)Imbalance
본사종업원수 is highly imbalanced (59.9%)Imbalance
공장사무직종업원수 is highly imbalanced (59.9%)Imbalance
공장판매직종업원수 is highly imbalanced (59.9%)Imbalance
공장생산직종업원수 is highly imbalanced (59.9%)Imbalance
보증액 is highly imbalanced (59.9%)Imbalance
월세액 is highly imbalanced (59.9%)Imbalance
인허가취소일자 has 88 (100.0%) missing valuesMissing
폐업일자 has 21 (23.9%) missing valuesMissing
휴업시작일자 has 88 (100.0%) missing valuesMissing
휴업종료일자 has 88 (100.0%) missing valuesMissing
재개업일자 has 88 (100.0%) missing valuesMissing
전화번호 has 28 (31.8%) missing valuesMissing
소재지면적 has 38 (43.2%) missing valuesMissing
도로명주소 has 28 (31.8%) missing valuesMissing
도로명우편번호 has 28 (31.8%) missing valuesMissing
좌표정보(X) has 6 (6.8%) missing valuesMissing
좌표정보(Y) has 6 (6.8%) missing valuesMissing
영업장주변구분명 has 87 (98.9%) missing valuesMissing
등급구분명 has 88 (100.0%) missing valuesMissing
건물소유구분명 has 88 (100.0%) missing valuesMissing
다중이용업소여부 has 12 (13.6%) missing valuesMissing
시설총규모 has 12 (13.6%) missing valuesMissing
전통업소지정번호 has 88 (100.0%) missing valuesMissing
전통업소주된음식 has 88 (100.0%) missing valuesMissing
홈페이지 has 88 (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
등급구분명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
건물소유구분명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
전통업소지정번호 is an unsupported type, check if it needs cleaning or further analysisUnsupported
전통업소주된음식 is an unsupported type, check if it needs cleaning or further analysisUnsupported
홈페이지 is an unsupported type, check if it needs cleaning or further analysisUnsupported
시설총규모 has 36 (40.9%) zerosZeros

Reproduction

Analysis started2024-05-11 06:53:06.338454
Analysis finished2024-05-11 06:53:07.112566
Duration0.77 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Memory size836.0 B
3080000
88 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3080000
2nd row3080000
3rd row3080000
4th row3080000
5th row3080000

Common Values

ValueCountFrequency (%)
3080000 88
100.0%

Length

2024-05-11T15:53:07.199852image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:53:07.343564image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3080000 88
100.0%

관리번호
Text

UNIQUE 

Distinct88
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size836.0 B
2024-05-11T15:53:07.564957image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length22
Median length22
Mean length22
Min length22

Characters and Unicode

Total characters1936
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

Unique88 ?
Unique (%)100.0%

Sample

1st row3080000-120-2003-00001
2nd row3080000-120-2003-00002
3rd row3080000-120-2003-00003
4th row3080000-120-2003-00004
5th row3080000-120-2003-00005
ValueCountFrequency (%)
3080000-120-2003-00001 1
 
1.1%
3080000-120-2003-00002 1
 
1.1%
3080000-120-2019-00004 1
 
1.1%
3080000-120-2019-00003 1
 
1.1%
3080000-120-2019-00002 1
 
1.1%
3080000-120-2019-00001 1
 
1.1%
3080000-120-2018-00005 1
 
1.1%
3080000-120-2018-00004 1
 
1.1%
3080000-120-2018-00003 1
 
1.1%
3080000-120-2018-00002 1
 
1.1%
Other values (78) 78
88.6%
2024-05-11T15:53:07.995503image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 1006
52.0%
- 264
 
13.6%
2 222
 
11.5%
1 157
 
8.1%
3 128
 
6.6%
8 96
 
5.0%
6 17
 
0.9%
4 15
 
0.8%
5 14
 
0.7%
9 10
 
0.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1672
86.4%
Dash Punctuation 264
 
13.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 1006
60.2%
2 222
 
13.3%
1 157
 
9.4%
3 128
 
7.7%
8 96
 
5.7%
6 17
 
1.0%
4 15
 
0.9%
5 14
 
0.8%
9 10
 
0.6%
7 7
 
0.4%
Dash Punctuation
ValueCountFrequency (%)
- 264
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1936
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 1006
52.0%
- 264
 
13.6%
2 222
 
11.5%
1 157
 
8.1%
3 128
 
6.6%
8 96
 
5.0%
6 17
 
0.9%
4 15
 
0.8%
5 14
 
0.7%
9 10
 
0.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1936
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 1006
52.0%
- 264
 
13.6%
2 222
 
11.5%
1 157
 
8.1%
3 128
 
6.6%
8 96
 
5.0%
6 17
 
0.9%
4 15
 
0.8%
5 14
 
0.7%
9 10
 
0.5%

인허가일자
Date

Distinct71
Distinct (%)80.7%
Missing0
Missing (%)0.0%
Memory size836.0 B
Minimum2003-06-17 00:00:00
Maximum2024-03-04 00:00:00
2024-05-11T15:53:08.180724image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T15:53:08.366254image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing88
Missing (%)100.0%
Memory size924.0 B

영업상태코드
Categorical

Distinct2
Distinct (%)2.3%
Missing0
Missing (%)0.0%
Memory size836.0 B
3
67 
1
21 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
3 67
76.1%
1 21
 
23.9%

Length

2024-05-11T15:53:08.606951image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:53:08.778724image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 67
76.1%
1 21
 
23.9%

영업상태명
Categorical

Distinct2
Distinct (%)2.3%
Missing0
Missing (%)0.0%
Memory size836.0 B
폐업
67 
영업/정상
21 

Length

Max length5
Median length2
Mean length2.7159091
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 67
76.1%
영업/정상 21
 
23.9%

Length

2024-05-11T15:53:08.974071image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:53:09.136833image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 67
76.1%
영업/정상 21
 
23.9%

상세영업상태코드
Categorical

Distinct2
Distinct (%)2.3%
Missing0
Missing (%)0.0%
Memory size836.0 B
2
67 
1
21 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
2 67
76.1%
1 21
 
23.9%

Length

2024-05-11T15:53:09.302016image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:53:09.481111image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2 67
76.1%
1 21
 
23.9%

상세영업상태명
Categorical

Distinct2
Distinct (%)2.3%
Missing0
Missing (%)0.0%
Memory size836.0 B
폐업
67 
영업
21 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 67
76.1%
영업 21
 
23.9%

Length

2024-05-11T15:53:09.682618image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:53:09.856708image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 67
76.1%
영업 21
 
23.9%

폐업일자
Date

MISSING 

Distinct59
Distinct (%)88.1%
Missing21
Missing (%)23.9%
Memory size836.0 B
Minimum2004-04-01 00:00:00
Maximum2024-05-01 00:00:00
2024-05-11T15:53:10.010244image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T15:53:10.188311image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing88
Missing (%)100.0%
Memory size924.0 B

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing88
Missing (%)100.0%
Memory size924.0 B

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing88
Missing (%)100.0%
Memory size924.0 B

전화번호
Text

MISSING 

Distinct55
Distinct (%)91.7%
Missing28
Missing (%)31.8%
Memory size836.0 B
2024-05-11T15:53:10.461684image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length10
Mean length10.666667
Min length10

Characters and Unicode

Total characters640
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

Unique51 ?
Unique (%)85.0%

Sample

1st row02 9967823
2nd row02 9814364
3rd row02 9011517
4th row02 9017071
5th row02 9868158
ValueCountFrequency (%)
02 54
40.9%
9011517 3
 
2.3%
7691 3
 
2.3%
908 2
 
1.5%
4551 2
 
1.5%
9850948 2
 
1.5%
9800570 2
 
1.5%
901 2
 
1.5%
427 2
 
1.5%
573 1
 
0.8%
Other values (59) 59
44.7%
2024-05-11T15:53:11.015378image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 118
18.4%
91
14.2%
2 86
13.4%
9 75
11.7%
1 54
8.4%
5 46
 
7.2%
8 41
 
6.4%
7 36
 
5.6%
6 32
 
5.0%
4 31
 
4.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 549
85.8%
Space Separator 91
 
14.2%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 118
21.5%
2 86
15.7%
9 75
13.7%
1 54
9.8%
5 46
 
8.4%
8 41
 
7.5%
7 36
 
6.6%
6 32
 
5.8%
4 31
 
5.6%
3 30
 
5.5%
Space Separator
ValueCountFrequency (%)
91
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 640
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 118
18.4%
91
14.2%
2 86
13.4%
9 75
11.7%
1 54
8.4%
5 46
 
7.2%
8 41
 
6.4%
7 36
 
5.6%
6 32
 
5.0%
4 31
 
4.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 640
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 118
18.4%
91
14.2%
2 86
13.4%
9 75
11.7%
1 54
8.4%
5 46
 
7.2%
8 41
 
6.4%
7 36
 
5.6%
6 32
 
5.0%
4 31
 
4.8%

소재지면적
Real number (ℝ)

MISSING 

Distinct32
Distinct (%)64.0%
Missing38
Missing (%)43.2%
Infinite0
Infinite (%)0.0%
Mean355.649
Minimum16.8
Maximum954.3
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size924.0 B
2024-05-11T15:53:11.246197image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum16.8
5-th percentile62.505
Q1133.575
median255.15
Q3645.7325
95-th percentile726.76
Maximum954.3
Range937.5
Interquartile range (IQR)512.1575

Descriptive statistics

Standard deviation257.94727
Coefficient of variation (CV)0.72528607
Kurtosis-1.194112
Mean355.649
Median Absolute Deviation (MAD)180.7
Skewness0.46969861
Sum17782.45
Variance66536.792
MonotonicityNot monotonic
2024-05-11T15:53:11.424026image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=32)
ValueCountFrequency (%)
650.51 4
 
4.5%
667.8 4
 
4.5%
260.0 3
 
3.4%
656.4 2
 
2.3%
244.16 2
 
2.3%
138.0 2
 
2.3%
59.4 2
 
2.3%
350.0 2
 
2.3%
99.31 2
 
2.3%
68.4 2
 
2.3%
Other values (22) 25
28.4%
(Missing) 38
43.2%
ValueCountFrequency (%)
16.8 1
1.1%
59.4 2
2.3%
66.3 1
1.1%
68.4 2
2.3%
80.5 2
2.3%
99.31 2
2.3%
107.6 1
1.1%
118.8 1
1.1%
132.1 1
1.1%
138.0 2
2.3%
ValueCountFrequency (%)
954.3 1
 
1.1%
776.99 1
 
1.1%
775.0 1
 
1.1%
667.8 4
4.5%
656.4 2
2.3%
650.51 4
4.5%
631.4 1
 
1.1%
628.0 1
 
1.1%
625.0 1
 
1.1%
546.0 1
 
1.1%

소재지우편번호
Categorical

Distinct36
Distinct (%)40.9%
Missing0
Missing (%)0.0%
Memory size836.0 B
142886
11 
142815
7 
142884
7 
142100
6 
142808
6 
Other values (31)
51 

Length

Max length7
Median length6
Mean length6.1136364
Min length6

Unique

Unique18 ?
Unique (%)20.5%

Sample

1st row142-892
2nd row142886
3rd row142884
4th row142715
5th row142802

Common Values

ValueCountFrequency (%)
142886 11
 
12.5%
142815 7
 
8.0%
142884 7
 
8.0%
142100 6
 
6.8%
142808 6
 
6.8%
142871 5
 
5.7%
142715 3
 
3.4%
142805 3
 
3.4%
142803 3
 
3.4%
142-886 3
 
3.4%
Other values (26) 34
38.6%

Length

2024-05-11T15:53:11.579185image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
142886 11
 
12.5%
142884 7
 
8.0%
142815 7
 
8.0%
142100 6
 
6.8%
142808 6
 
6.8%
142871 5
 
5.7%
142715 3
 
3.4%
142805 3
 
3.4%
142803 3
 
3.4%
142-886 3
 
3.4%
Other values (26) 34
38.6%

지번주소
Text

Distinct71
Distinct (%)80.7%
Missing0
Missing (%)0.0%
Memory size836.0 B
2024-05-11T15:53:11.849046image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length37
Median length28.5
Mean length24.795455
Min length18

Characters and Unicode

Total characters2182
Distinct characters109
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique55 ?
Unique (%)62.5%

Sample

1st row서울특별시 강북구 우이동 103-9 서라벌중학교
2nd row서울특별시 강북구 수유동 468-43번지 혜화여자고등학교
3rd row서울특별시 강북구 수유동 520번지 국립재활원
4th row서울특별시 강북구 수유동 535-353번지 통일교육원
5th row서울특별시 강북구 미아동 8-16번지
ValueCountFrequency (%)
서울특별시 88
21.5%
강북구 88
21.5%
미아동 37
 
9.0%
수유동 31
 
7.6%
번동 11
 
2.7%
우이동 9
 
2.2%
혜화여자고등학교 7
 
1.7%
468-43 5
 
1.2%
520번지 5
 
1.2%
327-5번지 4
 
1.0%
Other values (87) 125
30.5%
2024-05-11T15:53:12.657995image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
398
18.2%
북 95
 
4.4%
동 95
 
4.4%
강 93
 
4.3%
서 91
 
4.2%
시 89
 
4.1%
구 89
 
4.1%
울 89
 
4.1%
특 88
 
4.0%
별 88
 
4.0%
Other values (99) 967
44.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1347
61.7%
Space Separator 398
 
18.2%
Decimal Number 353
 
16.2%
Dash Punctuation 62
 
2.8%
Close Punctuation 7
 
0.3%
Open Punctuation 7
 
0.3%
Other Punctuation 5
 
0.2%
Uppercase Letter 3
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
북 95
 
7.1%
동 95
 
7.1%
강 93
 
6.9%
서 91
 
6.8%
시 89
 
6.6%
구 89
 
6.6%
울 89
 
6.6%
특 88
 
6.5%
별 88
 
6.5%
번 70
 
5.2%
Other values (81) 460
34.1%
Decimal Number
ValueCountFrequency (%)
1 58
16.4%
3 50
14.2%
2 47
13.3%
4 41
11.6%
5 39
11.0%
7 37
10.5%
6 26
7.4%
0 21
 
5.9%
9 17
 
4.8%
8 17
 
4.8%
Uppercase Letter
ValueCountFrequency (%)
C 1
33.3%
K 1
33.3%
T 1
33.3%
Space Separator
ValueCountFrequency (%)
398
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 62
100.0%
Close Punctuation
ValueCountFrequency (%)
) 7
100.0%
Open Punctuation
ValueCountFrequency (%)
( 7
100.0%
Other Punctuation
ValueCountFrequency (%)
, 5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1347
61.7%
Common 832
38.1%
Latin 3
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
북 95
 
7.1%
동 95
 
7.1%
강 93
 
6.9%
서 91
 
6.8%
시 89
 
6.6%
구 89
 
6.6%
울 89
 
6.6%
특 88
 
6.5%
별 88
 
6.5%
번 70
 
5.2%
Other values (81) 460
34.1%
Common
ValueCountFrequency (%)
398
47.8%
- 62
 
7.5%
1 58
 
7.0%
3 50
 
6.0%
2 47
 
5.6%
4 41
 
4.9%
5 39
 
4.7%
7 37
 
4.4%
6 26
 
3.1%
0 21
 
2.5%
Other values (5) 53
 
6.4%
Latin
ValueCountFrequency (%)
C 1
33.3%
K 1
33.3%
T 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1347
61.7%
ASCII 835
38.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
398
47.7%
- 62
 
7.4%
1 58
 
6.9%
3 50
 
6.0%
2 47
 
5.6%
4 41
 
4.9%
5 39
 
4.7%
7 37
 
4.4%
6 26
 
3.1%
0 21
 
2.5%
Other values (8) 56
 
6.7%
Hangul
ValueCountFrequency (%)
북 95
 
7.1%
동 95
 
7.1%
강 93
 
6.9%
서 91
 
6.8%
시 89
 
6.6%
구 89
 
6.6%
울 89
 
6.6%
특 88
 
6.5%
별 88
 
6.5%
번 70
 
5.2%
Other values (81) 460
34.1%

도로명주소
Text

MISSING 

Distinct47
Distinct (%)78.3%
Missing28
Missing (%)31.8%
Memory size836.0 B
2024-05-11T15:53:13.008465image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length49
Median length39
Mean length31.25
Min length22

Characters and Unicode

Total characters1875
Distinct characters119
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique37 ?
Unique (%)61.7%

Sample

1st row서울특별시 강북구 삼양로155길 37-9, 서라벌중학교 (우이동)
2nd row서울특별시 강북구 4.19로 123 (수유동)
3rd row서울특별시 강북구 한천로109길 10 (번동)
4th row서울특별시 강북구 도봉로 117 (미아동,(지하1층))
5th row서울특별시 강북구 삼양로149가길 6 (우이동)
ValueCountFrequency (%)
서울특별시 60
 
16.3%
강북구 60
 
16.3%
미아동 23
 
6.3%
수유동 20
 
5.4%
인수봉로 10
 
2.7%
도봉로 10
 
2.7%
번동 7
 
1.9%
1층 7
 
1.9%
지하1층 7
 
1.9%
127 7
 
1.9%
Other values (78) 156
42.5%
2024-05-11T15:53:13.583014image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
307
 
16.4%
동 69
 
3.7%
1 69
 
3.7%
( 66
 
3.5%
) 66
 
3.5%
북 65
 
3.5%
강 63
 
3.4%
서 62
 
3.3%
시 61
 
3.3%
울 61
 
3.3%
Other values (109) 986
52.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1127
60.1%
Space Separator 307
 
16.4%
Decimal Number 255
 
13.6%
Open Punctuation 66
 
3.5%
Close Punctuation 66
 
3.5%
Other Punctuation 47
 
2.5%
Uppercase Letter 5
 
0.3%
Dash Punctuation 2
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 69
 
6.1%
북 65
 
5.8%
강 63
 
5.6%
서 62
 
5.5%
시 61
 
5.4%
울 61
 
5.4%
구 60
 
5.3%
로 60
 
5.3%
특 60
 
5.3%
별 60
 
5.3%
Other values (88) 506
44.9%
Decimal Number
ValueCountFrequency (%)
1 69
27.1%
5 27
 
10.6%
2 26
 
10.2%
3 25
 
9.8%
4 24
 
9.4%
9 23
 
9.0%
7 19
 
7.5%
6 16
 
6.3%
0 15
 
5.9%
8 11
 
4.3%
Uppercase Letter
ValueCountFrequency (%)
P 1
20.0%
C 1
20.0%
B 1
20.0%
K 1
20.0%
T 1
20.0%
Other Punctuation
ValueCountFrequency (%)
, 43
91.5%
. 4
 
8.5%
Space Separator
ValueCountFrequency (%)
307
100.0%
Open Punctuation
ValueCountFrequency (%)
( 66
100.0%
Close Punctuation
ValueCountFrequency (%)
) 66
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1127
60.1%
Common 743
39.6%
Latin 5
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 69
 
6.1%
북 65
 
5.8%
강 63
 
5.6%
서 62
 
5.5%
시 61
 
5.4%
울 61
 
5.4%
구 60
 
5.3%
로 60
 
5.3%
특 60
 
5.3%
별 60
 
5.3%
Other values (88) 506
44.9%
Common
ValueCountFrequency (%)
307
41.3%
1 69
 
9.3%
( 66
 
8.9%
) 66
 
8.9%
, 43
 
5.8%
5 27
 
3.6%
2 26
 
3.5%
3 25
 
3.4%
4 24
 
3.2%
9 23
 
3.1%
Other values (6) 67
 
9.0%
Latin
ValueCountFrequency (%)
P 1
20.0%
C 1
20.0%
B 1
20.0%
K 1
20.0%
T 1
20.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1127
60.1%
ASCII 748
39.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
307
41.0%
1 69
 
9.2%
( 66
 
8.8%
) 66
 
8.8%
, 43
 
5.7%
5 27
 
3.6%
2 26
 
3.5%
3 25
 
3.3%
4 24
 
3.2%
9 23
 
3.1%
Other values (11) 72
 
9.6%
Hangul
ValueCountFrequency (%)
동 69
 
6.1%
북 65
 
5.8%
강 63
 
5.6%
서 62
 
5.5%
시 61
 
5.4%
울 61
 
5.4%
구 60
 
5.3%
로 60
 
5.3%
특 60
 
5.3%
별 60
 
5.3%
Other values (88) 506
44.9%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct22
Distinct (%)36.7%
Missing28
Missing (%)31.8%
Infinite0
Infinite (%)0.0%
Mean1117.6667
Minimum1000
Maximum1237
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size924.0 B
2024-05-11T15:53:13.747669image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1000
5-th percentile1001
Q11076.75
median1132.5
Q31172.5
95-th percentile1225.3
Maximum1237
Range237
Interquartile range (IQR)95.75

Descriptive statistics

Standard deviation74.207146
Coefficient of variation (CV)0.066394703
Kurtosis-1.0599908
Mean1117.6667
Median Absolute Deviation (MAD)41.5
Skewness-0.18037783
Sum67060
Variance5506.7006
MonotonicityNot monotonic
2024-05-11T15:53:13.891471image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=22)
ValueCountFrequency (%)
1095 10
 
11.4%
1133 6
 
6.8%
1158 5
 
5.7%
1211 5
 
5.7%
1018 4
 
4.5%
1177 3
 
3.4%
1137 3
 
3.4%
1001 3
 
3.4%
1022 3
 
3.4%
1215 2
 
2.3%
Other values (12) 16
18.2%
(Missing) 28
31.8%
ValueCountFrequency (%)
1000 1
 
1.1%
1001 3
 
3.4%
1002 1
 
1.1%
1006 1
 
1.1%
1007 1
 
1.1%
1018 4
 
4.5%
1019 1
 
1.1%
1022 3
 
3.4%
1095 10
11.4%
1110 1
 
1.1%
ValueCountFrequency (%)
1237 1
 
1.1%
1231 2
 
2.3%
1225 2
 
2.3%
1215 2
 
2.3%
1211 5
5.7%
1177 3
3.4%
1171 1
 
1.1%
1158 5
5.7%
1137 3
3.4%
1133 6
6.8%

사업장명
Text

Distinct87
Distinct (%)98.9%
Missing0
Missing (%)0.0%
Memory size836.0 B
2024-05-11T15:53:14.164661image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length21
Median length16.5
Mean length13.511364
Min length3

Characters and Unicode

Total characters1189
Distinct characters179
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique86 ?
Unique (%)97.7%

Sample

1st row(주)세호푸드(서라벌중학교)
2nd row(주)화진케이터링(혜화여자고등학교)
3rd row국립재활원[(주)아라코]
4th row아라마크(주) 통일교육원지점
5th row(주)이씨엠디-창문여중고
ValueCountFrequency (%)
주식회사 8
 
5.6%
주)정오아카데미 5
 
3.5%
주)동원홈푸드 2
 
1.4%
금강푸드 2
 
1.4%
동아운수 2
 
1.4%
주)아워홈 2
 
1.4%
국립재활원 2
 
1.4%
삼다푸드 2
 
1.4%
한화호텔앤드리조트 2
 
1.4%
도봉세무서점 2
 
1.4%
Other values (110) 114
79.7%
2024-05-11T15:53:14.786701image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 64
 
5.4%
) 59
 
5.0%
( 59
 
5.0%
55
 
4.6%
점 34
 
2.9%
드 29
 
2.4%
푸 28
 
2.4%
식 24
 
2.0%
교 23
 
1.9%
아 23
 
1.9%
Other values (169) 791
66.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 989
83.2%
Close Punctuation 60
 
5.0%
Open Punctuation 60
 
5.0%
Space Separator 55
 
4.6%
Dash Punctuation 18
 
1.5%
Other Punctuation 3
 
0.3%
Decimal Number 2
 
0.2%
Uppercase Letter 2
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 64
 
6.5%
점 34
 
3.4%
드 29
 
2.9%
푸 28
 
2.8%
식 24
 
2.4%
교 23
 
2.3%
아 23
 
2.3%
스 21
 
2.1%
원 20
 
2.0%
고 20
 
2.0%
Other values (158) 703
71.1%
Close Punctuation
ValueCountFrequency (%)
) 59
98.3%
] 1
 
1.7%
Open Punctuation
ValueCountFrequency (%)
( 59
98.3%
[ 1
 
1.7%
Decimal Number
ValueCountFrequency (%)
1 1
50.0%
2 1
50.0%
Uppercase Letter
ValueCountFrequency (%)
K 1
50.0%
T 1
50.0%
Space Separator
ValueCountFrequency (%)
55
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 18
100.0%
Other Punctuation
ValueCountFrequency (%)
. 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 989
83.2%
Common 198
 
16.7%
Latin 2
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 64
 
6.5%
점 34
 
3.4%
드 29
 
2.9%
푸 28
 
2.8%
식 24
 
2.4%
교 23
 
2.3%
아 23
 
2.3%
스 21
 
2.1%
원 20
 
2.0%
고 20
 
2.0%
Other values (158) 703
71.1%
Common
ValueCountFrequency (%)
) 59
29.8%
( 59
29.8%
55
27.8%
- 18
 
9.1%
. 3
 
1.5%
1 1
 
0.5%
2 1
 
0.5%
] 1
 
0.5%
[ 1
 
0.5%
Latin
ValueCountFrequency (%)
K 1
50.0%
T 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 989
83.2%
ASCII 200
 
16.8%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 64
 
6.5%
점 34
 
3.4%
드 29
 
2.9%
푸 28
 
2.8%
식 24
 
2.4%
교 23
 
2.3%
아 23
 
2.3%
스 21
 
2.1%
원 20
 
2.0%
고 20
 
2.0%
Other values (158) 703
71.1%
ASCII
ValueCountFrequency (%)
) 59
29.5%
( 59
29.5%
55
27.5%
- 18
 
9.0%
. 3
 
1.5%
1 1
 
0.5%
2 1
 
0.5%
] 1
 
0.5%
[ 1
 
0.5%
K 1
 
0.5%

최종수정일자
Date

Distinct82
Distinct (%)93.2%
Missing0
Missing (%)0.0%
Memory size836.0 B
Minimum2003-06-17 00:00:00
Maximum2024-05-01 10:39:31
2024-05-11T15:53:15.001601image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T15:53:15.232543image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

데이터갱신구분
Categorical

Distinct2
Distinct (%)2.3%
Missing0
Missing (%)0.0%
Memory size836.0 B
I
55 
U
33 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
I 55
62.5%
U 33
37.5%

Length

2024-05-11T15:53:15.479752image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:53:15.665096image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 55
62.5%
u 33
37.5%

데이터갱신일자
Date

Distinct40
Distinct (%)45.5%
Missing0
Missing (%)0.0%
Memory size836.0 B
Minimum2018-08-31 23:59:59
Maximum2023-12-05 00:03:00
2024-05-11T15:53:15.822111image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T15:53:15.999981image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=40)

업태구분명
Categorical

CONSTANT 

Distinct1
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Memory size836.0 B
위탁급식영업
88 

Length

Max length6
Median length6
Mean length6
Min length6

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
위탁급식영업 88
100.0%

Length

2024-05-11T15:53:16.171704image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:53:16.301454image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
위탁급식영업 88
100.0%

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct37
Distinct (%)45.1%
Missing6
Missing (%)6.8%
Infinite0
Infinite (%)0.0%
Mean201855.69
Minimum200234.13
Maximum203895.66
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size924.0 B
2024-05-11T15:53:16.462035image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum200234.13
5-th percentile200640.56
Q1200996.88
median202132.41
Q3202430.29
95-th percentile203731.53
Maximum203895.66
Range3661.5279
Interquartile range (IQR)1433.4086

Descriptive statistics

Standard deviation970.21553
Coefficient of variation (CV)0.0048064809
Kurtosis-0.91756635
Mean201855.69
Median Absolute Deviation (MAD)1016.3696
Skewness0.22565814
Sum16552167
Variance941318.18
MonotonicityNot monotonic
2024-05-11T15:53:16.680132image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=37)
ValueCountFrequency (%)
201074.585799477 9
 
10.2%
200868.4734049 7
 
8.0%
202383.132104985 6
 
6.8%
202445.004649696 5
 
5.7%
200234.13213979 4
 
4.5%
202430.285665803 4
 
4.5%
202337.451900796 4
 
4.5%
203757.285284697 3
 
3.4%
201169.158224441 3
 
3.4%
203895.660018622 2
 
2.3%
Other values (27) 35
39.8%
(Missing) 6
 
6.8%
ValueCountFrequency (%)
200234.13213979 4
4.5%
200638.95596294 1
 
1.1%
200671.098692403 1
 
1.1%
200827.985680041 1
 
1.1%
200830.406849652 1
 
1.1%
200835.482278949 1
 
1.1%
200860.578094158 1
 
1.1%
200868.4734049 7
8.0%
200906.929256397 2
 
2.3%
200945.032991755 1
 
1.1%
ValueCountFrequency (%)
203895.660018622 2
 
2.3%
203757.285284697 3
3.4%
203242.188048418 1
 
1.1%
203171.456666055 2
 
2.3%
203145.917196221 2
 
2.3%
202952.818387015 2
 
2.3%
202843.143325836 1
 
1.1%
202625.646264572 2
 
2.3%
202445.004649696 5
5.7%
202430.285665803 4
4.5%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct37
Distinct (%)45.1%
Missing6
Missing (%)6.8%
Infinite0
Infinite (%)0.0%
Mean458843.45
Minimum456774.97
Maximum462330.16
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size924.0 B
2024-05-11T15:53:16.887359image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum456774.97
5-th percentile456824.74
Q1458021.25
median458734.18
Q3459614.35
95-th percentile462033.03
Maximum462330.16
Range5555.1893
Interquartile range (IQR)1593.1003

Descriptive statistics

Standard deviation1369.9248
Coefficient of variation (CV)0.002985604
Kurtosis0.54495618
Mean458843.45
Median Absolute Deviation (MAD)878.12212
Skewness0.7279235
Sum37625163
Variance1876694
MonotonicityNot monotonic
2024-05-11T15:53:17.062666image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=37)
ValueCountFrequency (%)
458734.181308336 9
 
10.2%
459614.353526648 7
 
8.0%
456824.739956011 6
 
6.8%
458021.25327625 5
 
5.7%
459923.973286241 4
 
4.5%
457469.572756955 4
 
4.5%
458844.213642725 4
 
4.5%
458490.883652834 3
 
3.4%
462056.904998381 3
 
3.4%
457580.999858684 2
 
2.3%
Other values (27) 35
39.8%
(Missing) 6
 
6.8%
ValueCountFrequency (%)
456774.967987942 2
 
2.3%
456824.739956011 6
6.8%
456875.973976242 2
 
2.3%
457469.572756955 4
4.5%
457580.999858684 2
 
2.3%
457584.368112559 1
 
1.1%
457612.340636633 1
 
1.1%
457806.819119783 1
 
1.1%
457929.030720023 1
 
1.1%
458021.25327625 5
5.7%
ValueCountFrequency (%)
462330.157309548 1
 
1.1%
462295.349317807 1
 
1.1%
462056.904998381 3
3.4%
461579.31092488 2
 
2.3%
461303.957843585 1
 
1.1%
460269.896914272 1
 
1.1%
460150.989996899 1
 
1.1%
459923.973286241 4
4.5%
459744.674161226 1
 
1.1%
459614.353526648 7
8.0%

위생업태명
Categorical

Distinct2
Distinct (%)2.3%
Missing0
Missing (%)0.0%
Memory size836.0 B
위탁급식영업
76 
<NA>
12 

Length

Max length6
Median length6
Mean length5.7272727
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
위탁급식영업 76
86.4%
<NA> 12
 
13.6%

Length

2024-05-11T15:53:17.273008image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:53:17.445379image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
위탁급식영업 76
86.4%
na 12
 
13.6%

남성종사자수
Categorical

Distinct2
Distinct (%)2.3%
Missing0
Missing (%)0.0%
Memory size836.0 B
<NA>
69 
0
19 

Length

Max length4
Median length4
Mean length3.3522727
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> 69
78.4%
0 19
 
21.6%

Length

2024-05-11T15:53:17.626004image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:53:17.827081image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 69
78.4%
0 19
 
21.6%

여성종사자수
Categorical

Distinct2
Distinct (%)2.3%
Missing0
Missing (%)0.0%
Memory size836.0 B
<NA>
69 
0
19 

Length

Max length4
Median length4
Mean length3.3522727
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> 69
78.4%
0 19
 
21.6%

Length

2024-05-11T15:53:18.017144image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:53:18.171252image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 69
78.4%
0 19
 
21.6%

영업장주변구분명
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing87
Missing (%)98.9%
Memory size836.0 B
2024-05-11T15:53:18.285836image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length2
Median length2
Mean length2
Min length2

Characters and Unicode

Total characters2
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)100.0%

Sample

1st row기타
ValueCountFrequency (%)
기타 1
100.0%
2024-05-11T15:53:18.564466image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
기 1
50.0%
타 1
50.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
기 1
50.0%
타 1
50.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
기 1
50.0%
타 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
기 1
50.0%
타 1
50.0%

등급구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing88
Missing (%)100.0%
Memory size924.0 B

급수시설구분명
Categorical

Distinct2
Distinct (%)2.3%
Missing0
Missing (%)0.0%
Memory size836.0 B
<NA>
70 
상수도전용
18 

Length

Max length5
Median length4
Mean length4.2045455
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 70
79.5%
상수도전용 18
 
20.5%

Length

2024-05-11T15:53:18.769757image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:53:18.928890image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 70
79.5%
상수도전용 18
 
20.5%

총인원
Categorical

IMBALANCE 

Distinct2
Distinct (%)2.3%
Missing0
Missing (%)0.0%
Memory size836.0 B
<NA>
81 
0
 
7

Length

Max length4
Median length4
Mean length3.7613636
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> 81
92.0%
0 7
 
8.0%

Length

2024-05-11T15:53:19.102485image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:53:19.265227image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 81
92.0%
0 7
 
8.0%

본사종업원수
Categorical

IMBALANCE 

Distinct2
Distinct (%)2.3%
Missing0
Missing (%)0.0%
Memory size836.0 B
<NA>
81 
0
 
7

Length

Max length4
Median length4
Mean length3.7613636
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> 81
92.0%
0 7
 
8.0%

Length

2024-05-11T15:53:19.442080image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:53:19.569213image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 81
92.0%
0 7
 
8.0%

공장사무직종업원수
Categorical

IMBALANCE 

Distinct2
Distinct (%)2.3%
Missing0
Missing (%)0.0%
Memory size836.0 B
<NA>
81 
0
 
7

Length

Max length4
Median length4
Mean length3.7613636
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> 81
92.0%
0 7
 
8.0%

Length

2024-05-11T15:53:19.715703image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:53:19.867121image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 81
92.0%
0 7
 
8.0%

공장판매직종업원수
Categorical

IMBALANCE 

Distinct2
Distinct (%)2.3%
Missing0
Missing (%)0.0%
Memory size836.0 B
<NA>
81 
0
 
7

Length

Max length4
Median length4
Mean length3.7613636
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> 81
92.0%
0 7
 
8.0%

Length

2024-05-11T15:53:20.041151image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:53:20.236559image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 81
92.0%
0 7
 
8.0%

공장생산직종업원수
Categorical

IMBALANCE 

Distinct2
Distinct (%)2.3%
Missing0
Missing (%)0.0%
Memory size836.0 B
<NA>
81 
0
 
7

Length

Max length4
Median length4
Mean length3.7613636
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> 81
92.0%
0 7
 
8.0%

Length

2024-05-11T15:53:20.387058image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:53:20.532515image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 81
92.0%
0 7
 
8.0%

건물소유구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing88
Missing (%)100.0%
Memory size924.0 B

보증액
Categorical

IMBALANCE 

Distinct2
Distinct (%)2.3%
Missing0
Missing (%)0.0%
Memory size836.0 B
<NA>
81 
0
 
7

Length

Max length4
Median length4
Mean length3.7613636
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> 81
92.0%
0 7
 
8.0%

Length

2024-05-11T15:53:20.684688image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:53:20.860722image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 81
92.0%
0 7
 
8.0%

월세액
Categorical

IMBALANCE 

Distinct2
Distinct (%)2.3%
Missing0
Missing (%)0.0%
Memory size836.0 B
<NA>
81 
0
 
7

Length

Max length4
Median length4
Mean length3.7613636
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> 81
92.0%
0 7
 
8.0%

Length

2024-05-11T15:53:21.028762image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:53:21.182559image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 81
92.0%
0 7
 
8.0%

다중이용업소여부
Boolean

CONSTANT  MISSING 

Distinct1
Distinct (%)1.3%
Missing12
Missing (%)13.6%
Memory size308.0 B
False
76 
(Missing)
12 
ValueCountFrequency (%)
False 76
86.4%
(Missing) 12
 
13.6%
2024-05-11T15:53:21.318195image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

시설총규모
Real number (ℝ)

MISSING  ZEROS 

Distinct29
Distinct (%)38.2%
Missing12
Missing (%)13.6%
Infinite0
Infinite (%)0.0%
Mean174.11461
Minimum0
Maximum954.3
Zeros36
Zeros (%)40.9%
Negative0
Negative (%)0.0%
Memory size924.0 B
2024-05-11T15:53:21.472841image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median59.4
Q3252.5
95-th percentile667.8
Maximum954.3
Range954.3
Interquartile range (IQR)252.5

Descriptive statistics

Standard deviation247.74766
Coefficient of variation (CV)1.4229
Kurtosis0.99219981
Mean174.11461
Median Absolute Deviation (MAD)59.4
Skewness1.4444359
Sum13232.71
Variance61378.905
MonotonicityNot monotonic
2024-05-11T15:53:21.669542image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=29)
ValueCountFrequency (%)
0.0 36
40.9%
260.0 3
 
3.4%
650.51 2
 
2.3%
250.0 2
 
2.3%
667.8 2
 
2.3%
99.31 2
 
2.3%
188.0 2
 
2.3%
244.16 2
 
2.3%
350.0 2
 
2.3%
59.4 2
 
2.3%
Other values (19) 21
23.9%
(Missing) 12
 
13.6%
ValueCountFrequency (%)
0.0 36
40.9%
16.8 1
 
1.1%
59.4 2
 
2.3%
68.4 2
 
2.3%
80.5 2
 
2.3%
99.31 2
 
2.3%
107.6 1
 
1.1%
118.8 1
 
1.1%
132.1 1
 
1.1%
138.0 1
 
1.1%
ValueCountFrequency (%)
954.3 1
1.1%
776.99 1
1.1%
775.0 1
1.1%
667.8 2
2.3%
656.4 1
1.1%
650.51 2
2.3%
631.4 1
1.1%
628.0 1
1.1%
546.0 1
1.1%
519.0 1
1.1%

전통업소지정번호
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing88
Missing (%)100.0%
Memory size924.0 B

전통업소주된음식
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing88
Missing (%)100.0%
Memory size924.0 B

홈페이지
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing88
Missing (%)100.0%
Memory size924.0 B

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)위생업태명남성종사자수여성종사자수영업장주변구분명등급구분명급수시설구분명총인원본사종업원수공장사무직종업원수공장판매직종업원수공장생산직종업원수건물소유구분명보증액월세액다중이용업소여부시설총규모전통업소지정번호전통업소주된음식홈페이지
030800003080000-120-2003-000012003-06-17<NA>3폐업2폐업2005-01-13<NA><NA><NA>02 9967823<NA>142-892서울특별시 강북구 우이동 103-9 서라벌중학교서울특별시 강북구 삼양로155길 37-9, 서라벌중학교 (우이동)1006(주)세호푸드(서라벌중학교)2024-03-30 12:29:18U2023-12-04 00:01:00.0위탁급식영업200906.929256461579.310925<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
130800003080000-120-2003-0000220030617<NA>3폐업2폐업20050214<NA><NA><NA>02 9814364<NA>142886서울특별시 강북구 수유동 468-43번지 혜화여자고등학교<NA><NA>(주)화진케이터링(혜화여자고등학교)2003-06-17 00:00:00I2018-08-31 23:59:59.0위탁급식영업201074.585799458734.181308위탁급식영업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>N0.0<NA><NA><NA>
230800003080000-120-2003-0000320030901<NA>3폐업2폐업20060214<NA><NA><NA>02 9011517<NA>142884서울특별시 강북구 수유동 520번지 국립재활원<NA><NA>국립재활원[(주)아라코]2004-03-19 00:00:00I2018-08-31 23:59:59.0위탁급식영업200868.473405459614.353527위탁급식영업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>N0.0<NA><NA><NA>
330800003080000-120-2003-0000420031002<NA>3폐업2폐업20151231<NA><NA><NA>02 9017071<NA>142715서울특별시 강북구 수유동 535-353번지 통일교육원서울특별시 강북구 4.19로 123 (수유동)1018아라마크(주) 통일교육원지점2014-07-29 16:08:07I2018-08-31 23:59:59.0위탁급식영업200234.13214459923.973286위탁급식영업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>N0.0<NA><NA><NA>
430800003080000-120-2003-0000520031009<NA>3폐업2폐업20110228<NA><NA><NA>02 9868158<NA>142802서울특별시 강북구 미아동 8-16번지<NA><NA>(주)이씨엠디-창문여중고2010-05-20 18:02:44I2018-08-31 23:59:59.0위탁급식영업203145.917196456774.967988위탁급식영업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>N0.0<NA><NA><NA>
530800003080000-120-2003-0000620031009<NA>3폐업2폐업20110809<NA><NA><NA>02 9855564<NA>142100서울특별시 강북구 미아동 산 13번지 (신일학교길 8)<NA><NA>(주)이씨엠디-신일중고2010-05-20 18:07:17I2018-08-31 23:59:59.0위탁급식영업<NA><NA>위탁급식영업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>N0.0<NA><NA><NA>
630800003080000-120-2003-0000720031015<NA>3폐업2폐업20060227<NA><NA><NA>02 9850948<NA>142815서울특별시 강북구 미아동 327번지<NA><NA>(주)이바돔-성암여자정보산업고교2003-10-15 00:00:00I2018-08-31 23:59:59.0위탁급식영업<NA><NA>위탁급식영업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>N0.0<NA><NA><NA>
730800003080000-120-2003-0000820031015<NA>3폐업2폐업20060227<NA><NA><NA>02 9850948<NA>142815서울특별시 강북구 미아동 327번지 성암여자중학교<NA><NA>(주)이바돔-성암여자중학교2003-10-15 00:00:00I2018-08-31 23:59:59.0위탁급식영업<NA><NA>위탁급식영업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>N0.0<NA><NA><NA>
830800003080000-120-2003-0000920031017<NA>3폐업2폐업20040401<NA><NA><NA>0221496257<NA>142702서울특별시 강북구 미아동 327-5번지 도봉세무서<NA><NA>씨제이푸드시스템(주) 도봉세무서점2003-10-17 00:00:00I2018-08-31 23:59:59.0위탁급식영업202430.285666457469.572757위탁급식영업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>N0.0<NA><NA><NA>
930800003080000-120-2003-0001020031021<NA>3폐업2폐업20110831<NA><NA><NA><NA><NA>142805서울특별시 강북구 미아동 471-2번지 영훈초,중,고<NA><NA>그린케터링-영훈초.중.고2003-10-21 00:00:00I2018-08-31 23:59:59.0위탁급식영업202383.132105456824.739956위탁급식영업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>N0.0<NA><NA><NA>
개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)위생업태명남성종사자수여성종사자수영업장주변구분명등급구분명급수시설구분명총인원본사종업원수공장사무직종업원수공장판매직종업원수공장생산직종업원수건물소유구분명보증액월세액다중이용업소여부시설총규모전통업소지정번호전통업소주된음식홈페이지
7830800003080000-120-2021-0000520210727<NA>1영업/정상1영업<NA><NA><NA><NA>02 33976000132.1142090서울특별시 강북구 우이동 346 파라스파라 서울서울특별시 강북구 삼양로 689, 파라스파라 서울 114동 지하1층 (우이동)1000(주)신세계푸드 파라스파라 서울2021-07-27 13:35:48I2021-07-29 00:22:51.0위탁급식영업<NA><NA>위탁급식영업00<NA><NA><NA>00000<NA>00N132.1<NA><NA><NA>
7930800003080000-120-2022-0000120220103<NA>1영업/정상1영업<NA><NA><NA><NA>02 9821414333.0142715서울특별시 강북구 수유동 535-353 통일교육원서울특별시 강북구 4.19로 123, 통일교육원 1층 (수유동)1018서울강북지역자활센터-통일교육원 구내식당2022-01-21 14:29:06U2022-01-23 02:40:00.0위탁급식영업200234.13214459923.973286위탁급식영업00<NA><NA><NA>00000<NA>00N333.0<NA><NA><NA>
8030800003080000-120-2022-000022022-02-28<NA>3폐업2폐업2023-02-23<NA><NA><NA>0220387739650.51142-709서울특별시 강북구 미아동 471-2 영훈학교서울특별시 강북구 도봉로13가길 19, 영훈학교 (미아동)1211(주)참푸드시스템 영훈고점2023-02-23 11:07:37U2022-12-01 22:05:00.0위탁급식영업202383.132105456824.739956<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
8130800003080000-120-2022-000032022-03-03<NA>3폐업2폐업2023-02-20<NA><NA><NA><NA>138.0142-886서울특별시 강북구 수유동 468-43 혜화여자고등학교서울특별시 강북구 인수봉로 127, 혜화여자고등학교 (수유동)1095혜화여자고등학교2023-02-20 13:52:32U2022-12-01 22:02:00.0위탁급식영업201074.585799458734.181308<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
8230800003080000-120-2022-0000420220314<NA>1영업/정상1영업<NA><NA><NA><NA><NA>625.0142100서울특별시 강북구 미아동 147 성신여자대학교운정그린캠퍼스서울특별시 강북구 도봉로76가길 55, 성신여자대학교운정그린캠퍼스 P동 10층 (미아동)1133주식회사 미담푸드2022-04-27 15:21:48U2021-12-03 22:09:00.0위탁급식영업202337.451901458844.213643<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
8330800003080000-120-2023-0000120230105<NA>1영업/정상1영업<NA><NA><NA><NA>02259 4279250.3142706서울특별시 강북구 번동 239 강북유니온빌딩 지하1층서울특별시 강북구 한천로109길 10, 강북유니온빌딩 B1층 (번동)1225삼다푸드 강북협동조합2023-01-05 13:44:22I2022-12-01 00:07:00.0위탁급식영업203757.285285458490.883653<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
8430800003080000-120-2023-000022023-02-27<NA>3폐업2폐업2024-02-28<NA><NA><NA>02 987 8341667.8142-886서울특별시 강북구 수유동 468-43 혜화여자고등학교서울특별시 강북구 인수봉로 127, 혜화여자고등학교 (수유동)1095참푸드시스템 혜화여고점2024-02-28 17:42:41U2023-12-03 00:02:00.0위탁급식영업201074.585799458734.181308<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
8530800003080000-120-2023-000032023-03-08<NA>1영업/정상1영업<NA><NA><NA><NA>02996 7691650.51142-805서울특별시 강북구 미아동 471-2 영훈고등학교 2, 3층서울특별시 강북구 도봉로13가길 19, 영훈고등학교 2,3층 (미아동)1211(주)정오아카데미 영훈고등학교점2023-03-08 10:39:11I2022-12-02 23:00:00.0위탁급식영업202383.132105456824.739956<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
8630800003080000-120-2023-000042023-06-01<NA>1영업/정상1영업<NA><NA><NA><NA>02 996151166.3142-815서울특별시 강북구 미아동 322-5 햇빛병원부설 산후조리원서울특별시 강북구 도봉로 131, 햇빛병원부설 산후조리원 지하1층 (미아동)1177햇빛산후조리원2023-06-01 16:38:39I2022-12-06 00:03:00.0위탁급식영업202407.49801457584.368113<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
8730800003080000-120-2024-000012024-03-04<NA>1영업/정상1영업<NA><NA><NA><NA><NA>667.8142-886서울특별시 강북구 수유동 468-43 지상1층, 혜화여자고등학교 내서울특별시 강북구 인수봉로 127, 혜화여자고등학교 1층 (수유동)1095(주)정오아카데미 혜화여자고등학교점2024-03-04 13:56:24I2023-12-03 00:06:00.0위탁급식영업201074.585799458734.181308<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>