Overview

Dataset statistics

Number of variables44
Number of observations204
Missing cells2220
Missing cells (%)24.7%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory75.2 KiB
Average record size in memory377.6 B

Variable types

Categorical19
Text7
DateTime4
Unsupported9
Numeric4
Boolean1

Dataset

Description개방자치단체코드,관리번호,인허가일자,인허가취소일자,영업상태코드,영업상태명,상세영업상태코드,상세영업상태명,폐업일자,휴업시작일자,휴업종료일자,재개업일자,전화번호,소재지면적,소재지우편번호,지번주소,도로명주소,도로명우편번호,사업장명,최종수정일자,데이터갱신구분,데이터갱신일자,업태구분명,좌표정보(X),좌표정보(Y),위생업태명,남성종사자수,여성종사자수,영업장주변구분명,등급구분명,급수시설구분명,총인원,본사종업원수,공장사무직종업원수,공장판매직종업원수,공장생산직종업원수,건물소유구분명,보증액,월세액,다중이용업소여부,시설총규모,전통업소지정번호,전통업소주된음식,홈페이지
Author구로구
URLhttps://data.seoul.go.kr/dataList/OA-17993/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
업태구분명 has constant value ""Constant
다중이용업소여부 has constant value ""Constant
여성종사자수 is highly imbalanced (65.2%)Imbalance
영업장주변구분명 is highly imbalanced (86.7%)Imbalance
총인원 is highly imbalanced (63.9%)Imbalance
본사종업원수 is highly imbalanced (63.9%)Imbalance
공장사무직종업원수 is highly imbalanced (63.9%)Imbalance
공장판매직종업원수 is highly imbalanced (63.9%)Imbalance
공장생산직종업원수 is highly imbalanced (63.9%)Imbalance
보증액 is highly imbalanced (63.9%)Imbalance
월세액 is highly imbalanced (63.9%)Imbalance
인허가취소일자 has 204 (100.0%) missing valuesMissing
폐업일자 has 38 (18.6%) missing valuesMissing
휴업시작일자 has 204 (100.0%) missing valuesMissing
휴업종료일자 has 204 (100.0%) missing valuesMissing
재개업일자 has 204 (100.0%) missing valuesMissing
전화번호 has 50 (24.5%) missing valuesMissing
소재지면적 has 78 (38.2%) missing valuesMissing
도로명주소 has 78 (38.2%) missing valuesMissing
도로명우편번호 has 78 (38.2%) missing valuesMissing
좌표정보(X) has 7 (3.4%) missing valuesMissing
좌표정보(Y) has 7 (3.4%) missing valuesMissing
등급구분명 has 204 (100.0%) missing valuesMissing
건물소유구분명 has 204 (100.0%) missing valuesMissing
다중이용업소여부 has 24 (11.8%) missing valuesMissing
시설총규모 has 24 (11.8%) missing valuesMissing
전통업소지정번호 has 204 (100.0%) missing valuesMissing
전통업소주된음식 has 204 (100.0%) missing valuesMissing
홈페이지 has 204 (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 74 (36.3%) zerosZeros

Reproduction

Analysis started2024-05-11 02:56:02.260972
Analysis finished2024-05-11 02:56:03.783708
Duration1.52 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
3160000
204 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3160000
2nd row3160000
3rd row3160000
4th row3160000
5th row3160000

Common Values

ValueCountFrequency (%)
3160000 204
100.0%

Length

2024-05-11T02:56:04.015785image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T02:56:04.392061image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3160000 204
100.0%

관리번호
Text

UNIQUE 

Distinct204
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
2024-05-11T02:56:04.878103image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length22
Median length22
Mean length22
Min length22

Characters and Unicode

Total characters4488
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

Unique204 ?
Unique (%)100.0%

Sample

1st row3160000-120-2003-00001
2nd row3160000-120-2003-00002
3rd row3160000-120-2003-00003
4th row3160000-120-2003-00004
5th row3160000-120-2003-00006
ValueCountFrequency (%)
3160000-120-2003-00001 1
 
0.5%
3160000-120-2016-00009 1
 
0.5%
3160000-120-2018-00002 1
 
0.5%
3160000-120-2015-00007 1
 
0.5%
3160000-120-2016-00001 1
 
0.5%
3160000-120-2016-00002 1
 
0.5%
3160000-120-2016-00003 1
 
0.5%
3160000-120-2016-00004 1
 
0.5%
3160000-120-2016-00005 1
 
0.5%
3160000-120-2016-00006 1
 
0.5%
Other values (194) 194
95.1%
2024-05-11T02:56:05.844409image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 2102
46.8%
- 612
 
13.6%
1 573
 
12.8%
2 488
 
10.9%
3 292
 
6.5%
6 240
 
5.3%
5 40
 
0.9%
4 40
 
0.9%
7 37
 
0.8%
8 37
 
0.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 3876
86.4%
Dash Punctuation 612
 
13.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 2102
54.2%
1 573
 
14.8%
2 488
 
12.6%
3 292
 
7.5%
6 240
 
6.2%
5 40
 
1.0%
4 40
 
1.0%
7 37
 
1.0%
8 37
 
1.0%
9 27
 
0.7%
Dash Punctuation
ValueCountFrequency (%)
- 612
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 4488
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 2102
46.8%
- 612
 
13.6%
1 573
 
12.8%
2 488
 
10.9%
3 292
 
6.5%
6 240
 
5.3%
5 40
 
0.9%
4 40
 
0.9%
7 37
 
0.8%
8 37
 
0.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 4488
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 2102
46.8%
- 612
 
13.6%
1 573
 
12.8%
2 488
 
10.9%
3 292
 
6.5%
6 240
 
5.3%
5 40
 
0.9%
4 40
 
0.9%
7 37
 
0.8%
8 37
 
0.8%

인허가일자
Date

Distinct165
Distinct (%)80.9%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
Minimum2003-05-23 00:00:00
Maximum2024-02-29 00:00:00
2024-05-11T02:56:06.252778image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T02:56:06.694793image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing204
Missing (%)100.0%
Memory size1.9 KiB

영업상태코드
Categorical

Distinct2
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
3
166 
1
38 

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 (%)
3 166
81.4%
1 38
 
18.6%

Length

2024-05-11T02:56:07.118801image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T02:56:07.450275image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 166
81.4%
1 38
 
18.6%

영업상태명
Categorical

Distinct2
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
폐업
166 
영업/정상
38 

Length

Max length5
Median length2
Mean length2.5588235
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 166
81.4%
영업/정상 38
 
18.6%

Length

2024-05-11T02:56:07.839932image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T02:56:08.192537image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 166
81.4%
영업/정상 38
 
18.6%

상세영업상태코드
Categorical

Distinct2
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
2
166 
1
38 

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 (%)
2 166
81.4%
1 38
 
18.6%

Length

2024-05-11T02:56:08.526996image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T02:56:08.831599image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2 166
81.4%
1 38
 
18.6%

상세영업상태명
Categorical

Distinct2
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
폐업
166 
영업
38 

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 166
81.4%
영업 38
 
18.6%

Length

2024-05-11T02:56:09.145501image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T02:56:09.467068image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 166
81.4%
영업 38
 
18.6%

폐업일자
Date

MISSING 

Distinct145
Distinct (%)87.3%
Missing38
Missing (%)18.6%
Memory size1.7 KiB
Minimum2004-01-10 00:00:00
Maximum2024-02-29 00:00:00
2024-05-11T02:56:09.809990image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T02:56:10.253512image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing204
Missing (%)100.0%
Memory size1.9 KiB

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing204
Missing (%)100.0%
Memory size1.9 KiB

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing204
Missing (%)100.0%
Memory size1.9 KiB

전화번호
Text

MISSING 

Distinct130
Distinct (%)84.4%
Missing50
Missing (%)24.5%
Memory size1.7 KiB
2024-05-11T02:56:10.983770image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length11
Mean length10.753247
Min length2

Characters and Unicode

Total characters1656
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

Unique113 ?
Unique (%)73.4%

Sample

1st row0226170599
2nd row02 8391197
3rd row02 8603860
4th row0221061094
5th row0226826180
ValueCountFrequency (%)
02 91
31.2%
33920455 7
 
2.4%
853 4
 
1.4%
573 4
 
1.4%
031 4
 
1.4%
818 3
 
1.0%
589 3
 
1.0%
8966 3
 
1.0%
469 3
 
1.0%
8512065 2
 
0.7%
Other values (145) 168
57.5%
2024-05-11T02:56:11.981414image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 305
18.4%
2 270
16.3%
208
12.6%
8 137
8.3%
5 134
8.1%
6 132
8.0%
1 117
 
7.1%
3 116
 
7.0%
9 86
 
5.2%
7 82
 
5.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1448
87.4%
Space Separator 208
 
12.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 305
21.1%
2 270
18.6%
8 137
9.5%
5 134
9.3%
6 132
9.1%
1 117
 
8.1%
3 116
 
8.0%
9 86
 
5.9%
7 82
 
5.7%
4 69
 
4.8%
Space Separator
ValueCountFrequency (%)
208
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1656
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 305
18.4%
2 270
16.3%
208
12.6%
8 137
8.3%
5 134
8.1%
6 132
8.0%
1 117
 
7.1%
3 116
 
7.0%
9 86
 
5.2%
7 82
 
5.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1656
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 305
18.4%
2 270
16.3%
208
12.6%
8 137
8.3%
5 134
8.1%
6 132
8.0%
1 117
 
7.1%
3 116
 
7.0%
9 86
 
5.2%
7 82
 
5.0%

소재지면적
Text

MISSING 

Distinct95
Distinct (%)75.4%
Missing78
Missing (%)38.2%
Memory size1.7 KiB
2024-05-11T02:56:12.645559image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length10
Median length6
Mean length5.8174603
Min length3

Characters and Unicode

Total characters733
Distinct characters12
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

Unique70 ?
Unique (%)55.6%

Sample

1st row936.00
2nd row510.50
3rd row1.00
4th row135.00
5th row49.50
ValueCountFrequency (%)
1,018.00 3
 
2.4%
251.00 3
 
2.4%
00 3
 
2.4%
99.00 3
 
2.4%
186.00 3
 
2.4%
148.86 3
 
2.4%
140.00 2
 
1.6%
801.19 2
 
1.6%
80.58 2
 
1.6%
767.00 2
 
1.6%
Other values (85) 100
79.4%
2024-05-11T02:56:13.673754image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 196
26.7%
. 126
17.2%
1 76
 
10.4%
2 52
 
7.1%
8 49
 
6.7%
6 48
 
6.5%
5 48
 
6.5%
3 39
 
5.3%
4 32
 
4.4%
9 31
 
4.2%
Other values (2) 36
 
4.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 602
82.1%
Other Punctuation 131
 
17.9%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 196
32.6%
1 76
 
12.6%
2 52
 
8.6%
8 49
 
8.1%
6 48
 
8.0%
5 48
 
8.0%
3 39
 
6.5%
4 32
 
5.3%
9 31
 
5.1%
7 31
 
5.1%
Other Punctuation
ValueCountFrequency (%)
. 126
96.2%
, 5
 
3.8%

Most occurring scripts

ValueCountFrequency (%)
Common 733
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 196
26.7%
. 126
17.2%
1 76
 
10.4%
2 52
 
7.1%
8 49
 
6.7%
6 48
 
6.5%
5 48
 
6.5%
3 39
 
5.3%
4 32
 
4.4%
9 31
 
4.2%
Other values (2) 36
 
4.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 733
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 196
26.7%
. 126
17.2%
1 76
 
10.4%
2 52
 
7.1%
8 49
 
6.7%
6 48
 
6.5%
5 48
 
6.5%
3 39
 
5.3%
4 32
 
4.4%
9 31
 
4.2%
Other values (2) 36
 
4.9%

소재지우편번호
Text

Distinct56
Distinct (%)27.5%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
2024-05-11T02:56:14.167947image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length6
Mean length6.1029412
Min length6

Characters and Unicode

Total characters1245
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

Unique23 ?
Unique (%)11.3%

Sample

1st row152883
2nd row152838
3rd row152848
4th row152848
5th row152899
ValueCountFrequency (%)
152848 24
 
11.8%
152826 18
 
8.8%
152842 16
 
7.8%
152883 15
 
7.4%
152868 10
 
4.9%
152862 9
 
4.4%
152832 7
 
3.4%
152838 7
 
3.4%
152887 5
 
2.5%
152812 5
 
2.5%
Other values (46) 88
43.1%
2024-05-11T02:56:15.092702image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 276
22.2%
8 258
20.7%
1 232
18.6%
5 224
18.0%
4 66
 
5.3%
6 60
 
4.8%
3 42
 
3.4%
0 31
 
2.5%
7 24
 
1.9%
- 21
 
1.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1224
98.3%
Dash Punctuation 21
 
1.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 276
22.5%
8 258
21.1%
1 232
19.0%
5 224
18.3%
4 66
 
5.4%
6 60
 
4.9%
3 42
 
3.4%
0 31
 
2.5%
7 24
 
2.0%
9 11
 
0.9%
Dash Punctuation
ValueCountFrequency (%)
- 21
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1245
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
2 276
22.2%
8 258
20.7%
1 232
18.6%
5 224
18.0%
4 66
 
5.3%
6 60
 
4.8%
3 42
 
3.4%
0 31
 
2.5%
7 24
 
1.9%
- 21
 
1.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1245
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 276
22.2%
8 258
20.7%
1 232
18.6%
5 224
18.0%
4 66
 
5.3%
6 60
 
4.8%
3 42
 
3.4%
0 31
 
2.5%
7 24
 
1.9%
- 21
 
1.7%

지번주소
Text

Distinct149
Distinct (%)73.0%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
2024-05-11T02:56:15.600770image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length44
Median length35
Mean length26.259804
Min length18

Characters and Unicode

Total characters5357
Distinct characters176
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

Unique114 ?
Unique (%)55.9%

Sample

1st row서울특별시 구로구 궁동 110-1번지 오류고등학교
2nd row서울특별시 구로구 구로동 46-5번지
3rd row서울특별시 구로구 구로동 222-3번지
4th row서울특별시 구로구 구로동 222-22번지 현주컴퓨터빌딩 7층
5th row서울특별시 구로구 오류동 199-1번지
ValueCountFrequency (%)
서울특별시 204
21.0%
구로구 204
21.0%
구로동 97
 
10.0%
고척동 41
 
4.2%
궁동 26
 
2.7%
신도림동 12
 
1.2%
개봉동 11
 
1.1%
지하1층 11
 
1.1%
구로고등학교 9
 
0.9%
경인고등학교 8
 
0.8%
Other values (191) 350
36.0%
2024-05-11T02:56:16.594843image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
949
17.7%
구 530
 
9.9%
로 321
 
6.0%
동 219
 
4.1%
서 218
 
4.1%
울 215
 
4.0%
시 213
 
4.0%
별 209
 
3.9%
특 205
 
3.8%
지 179
 
3.3%
Other values (166) 2099
39.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3375
63.0%
Space Separator 949
 
17.7%
Decimal Number 841
 
15.7%
Dash Punctuation 155
 
2.9%
Uppercase Letter 18
 
0.3%
Other Punctuation 7
 
0.1%
Open Punctuation 6
 
0.1%
Close Punctuation 6
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 530
15.7%
로 321
 
9.5%
동 219
 
6.5%
서 218
 
6.5%
울 215
 
6.4%
시 213
 
6.3%
별 209
 
6.2%
특 205
 
6.1%
지 179
 
5.3%
번 150
 
4.4%
Other values (142) 916
27.1%
Decimal Number
ValueCountFrequency (%)
1 174
20.7%
2 166
19.7%
6 94
11.2%
0 81
9.6%
3 76
9.0%
5 69
 
8.2%
8 57
 
6.8%
7 51
 
6.1%
4 40
 
4.8%
9 33
 
3.9%
Uppercase Letter
ValueCountFrequency (%)
K 5
27.8%
T 4
22.2%
G 2
 
11.1%
S 2
 
11.1%
I 2
 
11.1%
C 1
 
5.6%
N 1
 
5.6%
A 1
 
5.6%
Other Punctuation
ValueCountFrequency (%)
, 5
71.4%
. 2
 
28.6%
Space Separator
ValueCountFrequency (%)
949
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 155
100.0%
Open Punctuation
ValueCountFrequency (%)
( 6
100.0%
Close Punctuation
ValueCountFrequency (%)
) 6
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3375
63.0%
Common 1964
36.7%
Latin 18
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 530
15.7%
로 321
 
9.5%
동 219
 
6.5%
서 218
 
6.5%
울 215
 
6.4%
시 213
 
6.3%
별 209
 
6.2%
특 205
 
6.1%
지 179
 
5.3%
번 150
 
4.4%
Other values (142) 916
27.1%
Common
ValueCountFrequency (%)
949
48.3%
1 174
 
8.9%
2 166
 
8.5%
- 155
 
7.9%
6 94
 
4.8%
0 81
 
4.1%
3 76
 
3.9%
5 69
 
3.5%
8 57
 
2.9%
7 51
 
2.6%
Other values (6) 92
 
4.7%
Latin
ValueCountFrequency (%)
K 5
27.8%
T 4
22.2%
G 2
 
11.1%
S 2
 
11.1%
I 2
 
11.1%
C 1
 
5.6%
N 1
 
5.6%
A 1
 
5.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3375
63.0%
ASCII 1982
37.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
949
47.9%
1 174
 
8.8%
2 166
 
8.4%
- 155
 
7.8%
6 94
 
4.7%
0 81
 
4.1%
3 76
 
3.8%
5 69
 
3.5%
8 57
 
2.9%
7 51
 
2.6%
Other values (14) 110
 
5.5%
Hangul
ValueCountFrequency (%)
구 530
15.7%
로 321
 
9.5%
동 219
 
6.5%
서 218
 
6.5%
울 215
 
6.4%
시 213
 
6.3%
별 209
 
6.2%
특 205
 
6.1%
지 179
 
5.3%
번 150
 
4.4%
Other values (142) 916
27.1%

도로명주소
Text

MISSING 

Distinct102
Distinct (%)81.0%
Missing78
Missing (%)38.2%
Memory size1.7 KiB
2024-05-11T02:56:17.096512image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length49
Median length41
Mean length33.47619
Min length20

Characters and Unicode

Total characters4218
Distinct characters177
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

Unique87 ?
Unique (%)69.0%

Sample

1st row서울특별시 구로구 디지털로32길 43 (구로동)
2nd row서울특별시 구로구 연동로 320 (항동)
3rd row서울특별시 구로구 경인로 8 (항동)
4th row서울특별시 구로구 디지털로32길 42 (구로동)
5th row서울특별시 구로구 오리로 1355-10 (궁동)
ValueCountFrequency (%)
서울특별시 126
 
16.3%
구로구 126
 
16.3%
구로동 48
 
6.2%
고척동 24
 
3.1%
궁동 20
 
2.6%
경인로 19
 
2.5%
지하1층 10
 
1.3%
45 9
 
1.2%
가마산로27길 9
 
1.2%
오리로21길 9
 
1.2%
Other values (170) 375
48.4%
2024-05-11T02:56:18.126806image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
649
 
15.4%
구 342
 
8.1%
로 327
 
7.8%
동 142
 
3.4%
서 140
 
3.3%
울 136
 
3.2%
시 134
 
3.2%
별 131
 
3.1%
) 130
 
3.1%
( 130
 
3.1%
Other values (167) 1957
46.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2642
62.6%
Space Separator 649
 
15.4%
Decimal Number 520
 
12.3%
Close Punctuation 130
 
3.1%
Open Punctuation 130
 
3.1%
Other Punctuation 112
 
2.7%
Dash Punctuation 18
 
0.4%
Uppercase Letter 16
 
0.4%
Math Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 342
 
12.9%
로 327
 
12.4%
동 142
 
5.4%
서 140
 
5.3%
울 136
 
5.1%
시 134
 
5.1%
별 131
 
5.0%
특 127
 
4.8%
고 79
 
3.0%
학 64
 
2.4%
Other values (141) 1020
38.6%
Decimal Number
ValueCountFrequency (%)
1 116
22.3%
2 83
16.0%
5 59
11.3%
4 57
11.0%
3 50
9.6%
6 40
 
7.7%
7 38
 
7.3%
9 30
 
5.8%
0 28
 
5.4%
8 19
 
3.7%
Uppercase Letter
ValueCountFrequency (%)
K 5
31.2%
T 4
25.0%
N 1
 
6.2%
C 1
 
6.2%
B 1
 
6.2%
A 1
 
6.2%
S 1
 
6.2%
G 1
 
6.2%
I 1
 
6.2%
Other Punctuation
ValueCountFrequency (%)
, 110
98.2%
. 2
 
1.8%
Space Separator
ValueCountFrequency (%)
649
100.0%
Close Punctuation
ValueCountFrequency (%)
) 130
100.0%
Open Punctuation
ValueCountFrequency (%)
( 130
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 18
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2642
62.6%
Common 1560
37.0%
Latin 16
 
0.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 342
 
12.9%
로 327
 
12.4%
동 142
 
5.4%
서 140
 
5.3%
울 136
 
5.1%
시 134
 
5.1%
별 131
 
5.0%
특 127
 
4.8%
고 79
 
3.0%
학 64
 
2.4%
Other values (141) 1020
38.6%
Common
ValueCountFrequency (%)
649
41.6%
) 130
 
8.3%
( 130
 
8.3%
1 116
 
7.4%
, 110
 
7.1%
2 83
 
5.3%
5 59
 
3.8%
4 57
 
3.7%
3 50
 
3.2%
6 40
 
2.6%
Other values (7) 136
 
8.7%
Latin
ValueCountFrequency (%)
K 5
31.2%
T 4
25.0%
N 1
 
6.2%
C 1
 
6.2%
B 1
 
6.2%
A 1
 
6.2%
S 1
 
6.2%
G 1
 
6.2%
I 1
 
6.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2642
62.6%
ASCII 1576
37.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
649
41.2%
) 130
 
8.2%
( 130
 
8.2%
1 116
 
7.4%
, 110
 
7.0%
2 83
 
5.3%
5 59
 
3.7%
4 57
 
3.6%
3 50
 
3.2%
6 40
 
2.5%
Other values (16) 152
 
9.6%
Hangul
ValueCountFrequency (%)
구 342
 
12.9%
로 327
 
12.4%
동 142
 
5.4%
서 140
 
5.3%
울 136
 
5.1%
시 134
 
5.1%
별 131
 
5.0%
특 127
 
4.8%
고 79
 
3.0%
학 64
 
2.4%
Other values (141) 1020
38.6%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct45
Distinct (%)35.7%
Missing78
Missing (%)38.2%
Infinite0
Infinite (%)0.0%
Mean8286.5397
Minimum8200
Maximum8392
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2024-05-11T02:56:18.563964image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum8200
5-th percentile8209
Q18248
median8278.5
Q38324
95-th percentile8380.5
Maximum8392
Range192
Interquartile range (IQR)76

Descriptive statistics

Standard deviation55.302463
Coefficient of variation (CV)0.0066737704
Kurtosis-0.96211179
Mean8286.5397
Median Absolute Deviation (MAD)39.5
Skewness0.3464152
Sum1044104
Variance3058.3624
MonotonicityNot monotonic
2024-05-11T02:56:19.024300image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=45)
ValueCountFrequency (%)
8248 10
 
4.9%
8299 9
 
4.4%
8275 9
 
4.4%
8258 8
 
3.9%
8221 5
 
2.5%
8239 5
 
2.5%
8379 5
 
2.5%
8227 4
 
2.0%
8298 4
 
2.0%
8209 4
 
2.0%
Other values (35) 63
30.9%
(Missing) 78
38.2%
ValueCountFrequency (%)
8200 3
1.5%
8208 3
1.5%
8209 4
2.0%
8213 1
 
0.5%
8217 2
 
1.0%
8218 1
 
0.5%
8221 5
2.5%
8223 1
 
0.5%
8226 1
 
0.5%
8227 4
2.0%
ValueCountFrequency (%)
8392 1
 
0.5%
8390 2
 
1.0%
8389 1
 
0.5%
8385 1
 
0.5%
8381 2
 
1.0%
8379 5
2.5%
8378 1
 
0.5%
8375 1
 
0.5%
8365 3
1.5%
8360 4
2.0%

사업장명
Text

Distinct198
Distinct (%)97.1%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
2024-05-11T02:56:19.559020image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length24
Median length19
Mean length14.617647
Min length3

Characters and Unicode

Total characters2982
Distinct characters244
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

Unique193 ?
Unique (%)94.6%

Sample

1st row승보케터링(오류고등학교)
2nd row신세계푸드 한일합섬
3rd row중앙티앤에스
4th row현주구내식당
5th row덕일전자공업고등학교
ValueCountFrequency (%)
주)엘에스씨푸드 16
 
4.5%
주)아워홈 10
 
2.8%
주식회사 7
 
1.9%
가람푸드써비스(주 5
 
1.4%
구로점 5
 
1.4%
주)현대그린푸드 5
 
1.4%
주)웰스팜 5
 
1.4%
구로고등학교 4
 
1.1%
씨제이프레시웨이(주 4
 
1.1%
주)신세계푸드 4
 
1.1%
Other values (252) 294
81.9%
2024-05-11T02:56:20.483086image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 161
 
5.4%
155
 
5.2%
) 154
 
5.2%
( 151
 
5.1%
드 90
 
3.0%
스 89
 
3.0%
고 88
 
3.0%
푸 84
 
2.8%
학 70
 
2.3%
점 70
 
2.3%
Other values (234) 1870
62.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2487
83.4%
Space Separator 155
 
5.2%
Close Punctuation 154
 
5.2%
Open Punctuation 151
 
5.1%
Uppercase Letter 19
 
0.6%
Dash Punctuation 11
 
0.4%
Decimal Number 4
 
0.1%
Other Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 161
 
6.5%
드 90
 
3.6%
스 89
 
3.6%
고 88
 
3.5%
푸 84
 
3.4%
학 70
 
2.8%
점 70
 
2.8%
교 68
 
2.7%
에 64
 
2.6%
구 60
 
2.4%
Other values (219) 1643
66.1%
Uppercase Letter
ValueCountFrequency (%)
K 4
21.1%
G 4
21.1%
S 3
15.8%
I 3
15.8%
T 3
15.8%
L 1
 
5.3%
A 1
 
5.3%
Decimal Number
ValueCountFrequency (%)
0 2
50.0%
2 1
25.0%
1 1
25.0%
Space Separator
ValueCountFrequency (%)
155
100.0%
Close Punctuation
ValueCountFrequency (%)
) 154
100.0%
Open Punctuation
ValueCountFrequency (%)
( 151
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 11
100.0%
Other Punctuation
ValueCountFrequency (%)
, 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2487
83.4%
Common 476
 
16.0%
Latin 19
 
0.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 161
 
6.5%
드 90
 
3.6%
스 89
 
3.6%
고 88
 
3.5%
푸 84
 
3.4%
학 70
 
2.8%
점 70
 
2.8%
교 68
 
2.7%
에 64
 
2.6%
구 60
 
2.4%
Other values (219) 1643
66.1%
Common
ValueCountFrequency (%)
155
32.6%
) 154
32.4%
( 151
31.7%
- 11
 
2.3%
0 2
 
0.4%
2 1
 
0.2%
1 1
 
0.2%
, 1
 
0.2%
Latin
ValueCountFrequency (%)
K 4
21.1%
G 4
21.1%
S 3
15.8%
I 3
15.8%
T 3
15.8%
L 1
 
5.3%
A 1
 
5.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2487
83.4%
ASCII 495
 
16.6%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 161
 
6.5%
드 90
 
3.6%
스 89
 
3.6%
고 88
 
3.5%
푸 84
 
3.4%
학 70
 
2.8%
점 70
 
2.8%
교 68
 
2.7%
에 64
 
2.6%
구 60
 
2.4%
Other values (219) 1643
66.1%
ASCII
ValueCountFrequency (%)
155
31.3%
) 154
31.1%
( 151
30.5%
- 11
 
2.2%
K 4
 
0.8%
G 4
 
0.8%
S 3
 
0.6%
I 3
 
0.6%
T 3
 
0.6%
0 2
 
0.4%
Other values (5) 5
 
1.0%

최종수정일자
Date

Distinct183
Distinct (%)89.7%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
Minimum2003-05-30 00:00:00
Maximum2024-05-02 15:21:25
2024-05-11T02:56:21.010519image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T02:56:21.539562image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

데이터갱신구분
Categorical

Distinct2
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
I
139 
U
65 

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 139
68.1%
U 65
31.9%

Length

2024-05-11T02:56:21.950788image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T02:56:22.274325image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 139
68.1%
u 65
31.9%

데이터갱신일자
Date

Distinct71
Distinct (%)34.8%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
Minimum2018-08-31 23:59:59
Maximum2023-12-05 00:04:00
2024-05-11T02:56:22.654278image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T02:56:23.097402image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업태구분명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
위탁급식영업
204 

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 204
100.0%

Length

2024-05-11T02:56:23.518714image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T02:56:24.078269image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
위탁급식영업 204
100.0%

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct81
Distinct (%)41.1%
Missing7
Missing (%)3.4%
Infinite0
Infinite (%)0.0%
Mean188328.37
Minimum183560.8
Maximum191037.4
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2024-05-11T02:56:24.415537image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum183560.8
5-th percentile184664.09
Q1186784.25
median188783.34
Q3190260.22
95-th percentile190845.47
Maximum191037.4
Range7476.5955
Interquartile range (IQR)3475.9714

Descriptive statistics

Standard deviation2203.1812
Coefficient of variation (CV)0.011698615
Kurtosis-1.0601005
Mean188328.37
Median Absolute Deviation (MAD)1609.6175
Skewness-0.57260445
Sum37100689
Variance4854007.5
MonotonicityNot monotonic
2024-05-11T02:56:24.870503image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
190197.873287224 13
 
6.4%
188062.14527548 9
 
4.4%
184664.090902265 8
 
3.9%
188228.984069993 8
 
3.9%
188783.343273124 7
 
3.4%
190396.805730622 7
 
3.4%
186784.246057692 7
 
3.4%
184749.693049274 6
 
2.9%
184750.04360644 5
 
2.5%
190575.716483294 5
 
2.5%
Other values (71) 122
59.8%
(Missing) 7
 
3.4%
ValueCountFrequency (%)
183560.803834883 1
 
0.5%
184055.794590129 1
 
0.5%
184348.73581946 2
 
1.0%
184349.011284786 2
 
1.0%
184514.60245926 2
 
1.0%
184664.090902265 8
3.9%
184678.119469831 3
 
1.5%
184678.866621695 1
 
0.5%
184749.693049274 6
2.9%
184750.04360644 5
2.5%
ValueCountFrequency (%)
191037.399319209 1
 
0.5%
191020.264430044 1
 
0.5%
190901.977946718 2
1.0%
190887.117653337 2
1.0%
190847.613859557 3
1.5%
190845.465305019 2
1.0%
190822.851419439 2
1.0%
190779.824680954 3
1.5%
190752.675822684 2
1.0%
190745.562402189 2
1.0%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct81
Distinct (%)41.1%
Missing7
Missing (%)3.4%
Infinite0
Infinite (%)0.0%
Mean443759.36
Minimum442062.33
Maximum445745.59
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2024-05-11T02:56:25.307117image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum442062.33
5-th percentile442245.77
Q1443156.63
median443910.67
Q3444267.46
95-th percentile445187.36
Maximum445745.59
Range3683.2609
Interquartile range (IQR)1110.8363

Descriptive statistics

Standard deviation892.69096
Coefficient of variation (CV)0.0020116555
Kurtosis-0.58013017
Mean443759.36
Median Absolute Deviation (MAD)434.64591
Skewness-0.14358649
Sum87420593
Variance796897.15
MonotonicityNot monotonic
2024-05-11T02:56:25.950292image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
444041.000449912 13
 
6.4%
443811.274959591 9
 
4.4%
443642.084113544 8
 
3.9%
444267.464864162 8
 
3.9%
443531.354052714 7
 
3.4%
443910.670769521 7
 
3.4%
445187.358353536 7
 
3.4%
444189.73507293 6
 
2.9%
444626.10525858 5
 
2.5%
443476.024858459 5
 
2.5%
Other values (71) 122
59.8%
(Missing) 7
 
3.4%
ValueCountFrequency (%)
442062.331542356 2
1.0%
442129.776550006 1
 
0.5%
442131.0 1
 
0.5%
442131.515018128 2
1.0%
442154.992807483 1
 
0.5%
442164.590398914 2
1.0%
442216.317475069 1
 
0.5%
442253.132895893 2
1.0%
442301.849150765 3
1.5%
442305.230860115 1
 
0.5%
ValueCountFrequency (%)
445745.592395016 3
1.5%
445372.670602136 1
 
0.5%
445250.538868558 4
2.0%
445210.602519716 1
 
0.5%
445187.358353536 7
3.4%
445157.626366229 4
2.0%
445047.341776586 1
 
0.5%
444978.682746138 2
 
1.0%
444911.925277155 1
 
0.5%
444626.10525858 5
2.5%

위생업태명
Categorical

Distinct2
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
위탁급식영업
180 
<NA>
24 

Length

Max length6
Median length6
Mean length5.7647059
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
위탁급식영업 180
88.2%
<NA> 24
 
11.8%

Length

2024-05-11T02:56:26.706930image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T02:56:27.062667image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
위탁급식영업 180
88.2%
na 24
 
11.8%

남성종사자수
Categorical

Distinct2
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
<NA>
181 
0
23 

Length

Max length4
Median length4
Mean length3.6617647
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> 181
88.7%
0 23
 
11.3%

Length

2024-05-11T02:56:27.470265image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T02:56:27.910230image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 181
88.7%
0 23
 
11.3%

여성종사자수
Categorical

IMBALANCE 

Distinct3
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
<NA>
180 
0
23 
4
 
1

Length

Max length4
Median length4
Mean length3.6470588
Min length1

Unique

Unique1 ?
Unique (%)0.5%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 180
88.2%
0 23
 
11.3%
4 1
 
0.5%

Length

2024-05-11T02:56:28.458631image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T02:56:29.008220image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 180
88.2%
0 23
 
11.3%
4 1
 
0.5%

영업장주변구분명
Categorical

IMBALANCE 

Distinct3
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
<NA>
198 
기타
 
5
학교정화(상대)
 
1

Length

Max length8
Median length4
Mean length3.9705882
Min length2

Unique

Unique1 ?
Unique (%)0.5%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 198
97.1%
기타 5
 
2.5%
학교정화(상대) 1
 
0.5%

Length

2024-05-11T02:56:29.429963image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T02:56:29.822510image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 198
97.1%
기타 5
 
2.5%
학교정화(상대 1
 
0.5%

등급구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing204
Missing (%)100.0%
Memory size1.9 KiB

급수시설구분명
Categorical

Distinct3
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
<NA>
159 
상수도전용
44 
간이상수도
 
1

Length

Max length5
Median length4
Mean length4.2205882
Min length4

Unique

Unique1 ?
Unique (%)0.5%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 159
77.9%
상수도전용 44
 
21.6%
간이상수도 1
 
0.5%

Length

2024-05-11T02:56:30.183602image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T02:56:30.514118image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 159
77.9%
상수도전용 44
 
21.6%
간이상수도 1
 
0.5%

총인원
Categorical

IMBALANCE 

Distinct2
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
<NA>
190 
0
 
14

Length

Max length4
Median length4
Mean length3.7941176
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> 190
93.1%
0 14
 
6.9%

Length

2024-05-11T02:56:30.859946image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T02:56:31.331615image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 190
93.1%
0 14
 
6.9%

본사종업원수
Categorical

IMBALANCE 

Distinct2
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
<NA>
190 
0
 
14

Length

Max length4
Median length4
Mean length3.7941176
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> 190
93.1%
0 14
 
6.9%

Length

2024-05-11T02:56:31.742836image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T02:56:32.080842image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 190
93.1%
0 14
 
6.9%

공장사무직종업원수
Categorical

IMBALANCE 

Distinct2
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
<NA>
190 
0
 
14

Length

Max length4
Median length4
Mean length3.7941176
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> 190
93.1%
0 14
 
6.9%

Length

2024-05-11T02:56:32.471687image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T02:56:32.860233image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 190
93.1%
0 14
 
6.9%

공장판매직종업원수
Categorical

IMBALANCE 

Distinct2
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
<NA>
190 
0
 
14

Length

Max length4
Median length4
Mean length3.7941176
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> 190
93.1%
0 14
 
6.9%

Length

2024-05-11T02:56:33.198711image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T02:56:33.542212image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 190
93.1%
0 14
 
6.9%

공장생산직종업원수
Categorical

IMBALANCE 

Distinct2
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
<NA>
190 
0
 
14

Length

Max length4
Median length4
Mean length3.7941176
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> 190
93.1%
0 14
 
6.9%

Length

2024-05-11T02:56:33.883555image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T02:56:34.220164image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 190
93.1%
0 14
 
6.9%

건물소유구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing204
Missing (%)100.0%
Memory size1.9 KiB

보증액
Categorical

IMBALANCE 

Distinct2
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
<NA>
190 
0
 
14

Length

Max length4
Median length4
Mean length3.7941176
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> 190
93.1%
0 14
 
6.9%

Length

2024-05-11T02:56:34.560192image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T02:56:34.966912image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 190
93.1%
0 14
 
6.9%

월세액
Categorical

IMBALANCE 

Distinct2
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
<NA>
190 
0
 
14

Length

Max length4
Median length4
Mean length3.7941176
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> 190
93.1%
0 14
 
6.9%

Length

2024-05-11T02:56:35.315748image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T02:56:35.651605image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 190
93.1%
0 14
 
6.9%

다중이용업소여부
Boolean

CONSTANT  MISSING 

Distinct1
Distinct (%)0.6%
Missing24
Missing (%)11.8%
Memory size540.0 B
False
180 
(Missing)
24 
ValueCountFrequency (%)
False 180
88.2%
(Missing) 24
 
11.8%
2024-05-11T02:56:36.077774image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

시설총규모
Real number (ℝ)

MISSING  ZEROS 

Distinct85
Distinct (%)47.2%
Missing24
Missing (%)11.8%
Infinite0
Infinite (%)0.0%
Mean1938.7791
Minimum0
Maximum315000
Zeros74
Zeros (%)36.3%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2024-05-11T02:56:36.822724image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median80.58
Q3244.55
95-th percentile859.5
Maximum315000
Range315000
Interquartile range (IQR)244.55

Descriptive statistics

Standard deviation23466.143
Coefficient of variation (CV)12.103567
Kurtosis179.95077
Mean1938.7791
Median Absolute Deviation (MAD)80.58
Skewness13.413673
Sum348980.23
Variance5.5065985 × 108
MonotonicityNot monotonic
2024-05-11T02:56:37.490390image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 74
36.3%
148.86 3
 
1.5%
186.0 3
 
1.5%
251.0 3
 
1.5%
99.0 3
 
1.5%
350.0 2
 
1.0%
225.0 2
 
1.0%
859.0 2
 
1.0%
140.0 2
 
1.0%
394.81 2
 
1.0%
Other values (75) 84
41.2%
(Missing) 24
 
11.8%
ValueCountFrequency (%)
0.0 74
36.3%
1.0 1
 
0.5%
6.0 1
 
0.5%
6.6 1
 
0.5%
13.2 1
 
0.5%
15.0 2
 
1.0%
16.6 1
 
0.5%
20.0 1
 
0.5%
49.5 2
 
1.0%
52.8 1
 
0.5%
ValueCountFrequency (%)
315000.0 1
0.5%
1107.23 1
0.5%
1018.0 2
1.0%
983.0 1
0.5%
959.38 1
0.5%
936.0 1
0.5%
869.0 2
1.0%
859.0 2
1.0%
801.19 1
0.5%
767.0 2
1.0%

전통업소지정번호
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing204
Missing (%)100.0%
Memory size1.9 KiB

전통업소주된음식
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing204
Missing (%)100.0%
Memory size1.9 KiB

홈페이지
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing204
Missing (%)100.0%
Memory size1.9 KiB

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)위생업태명남성종사자수여성종사자수영업장주변구분명등급구분명급수시설구분명총인원본사종업원수공장사무직종업원수공장판매직종업원수공장생산직종업원수건물소유구분명보증액월세액다중이용업소여부시설총규모전통업소지정번호전통업소주된음식홈페이지
031600003160000-120-2003-0000120030523<NA>3폐업2폐업20070126<NA><NA><NA>0226170599<NA>152883서울특별시 구로구 궁동 110-1번지 오류고등학교<NA><NA>승보케터링(오류고등학교)2004-06-02 00:00:00I2018-08-31 23:59:59.0위탁급식영업184749.693049444189.735073위탁급식영업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>N0.0<NA><NA><NA>
131600003160000-120-2003-0000220030527<NA>3폐업2폐업20081229<NA><NA><NA>02 8391197<NA>152838서울특별시 구로구 구로동 46-5번지<NA><NA>신세계푸드 한일합섬2006-03-24 00:00:00I2018-08-31 23:59:59.0위탁급식영업190352.405596444253.918573위탁급식영업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>N0.0<NA><NA><NA>
231600003160000-120-2003-0000320030527<NA>3폐업2폐업20101115<NA><NA><NA>02 8603860<NA>152848서울특별시 구로구 구로동 222-3번지<NA><NA>중앙티앤에스2004-01-12 00:00:00I2018-08-31 23:59:59.0위탁급식영업190822.851419442253.132896위탁급식영업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>N0.0<NA><NA><NA>
331600003160000-120-2003-0000420030530<NA>3폐업2폐업20041220<NA><NA><NA>0221061094<NA>152848서울특별시 구로구 구로동 222-22번지 현주컴퓨터빌딩 7층<NA><NA>현주구내식당2003-05-30 00:00:00I2018-08-31 23:59:59.0위탁급식영업190745.562402442062.331542위탁급식영업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>N0.0<NA><NA><NA>
431600003160000-120-2003-0000620030530<NA>3폐업2폐업20051014<NA><NA><NA>0226826180<NA>152899서울특별시 구로구 오류동 199-1번지<NA><NA>덕일전자공업고등학교2004-01-12 00:00:00I2018-08-31 23:59:59.0위탁급식영업185544.681379443156.628581위탁급식영업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>N0.0<NA><NA><NA>
531600003160000-120-2003-0000720030603<NA>3폐업2폐업20040528<NA><NA><NA>02 8506731<NA>152848서울특별시 구로구 구로동 197-33번지<NA><NA>(주)한창2003-06-03 00:00:00I2018-08-31 23:59:59.0위탁급식영업190541.499138442708.14086위탁급식영업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>N0.0<NA><NA><NA>
631600003160000-120-2003-0000820030603<NA>3폐업2폐업20100223<NA><NA><NA>0226124973<NA>152832서울특별시 구로구 고척동 232번지<NA><NA>에렉스 에프앤비(주) 고척고2007-05-29 00:00:00I2018-08-31 23:59:59.0위탁급식영업186784.246058445187.358354위탁급식영업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>N0.0<NA><NA><NA>
731600003160000-120-2003-0000920030605<NA>3폐업2폐업20100713<NA><NA><NA>02 818 5971<NA>152862서울특별시 구로구 구로동 584-12번지<NA><NA>씨제이프레시웨이(주)쌍용자동차구로점2010-04-13 16:46:18I2018-08-31 23:59:59.0위탁급식영업189444.993703444254.666282위탁급식영업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>N0.0<NA><NA><NA>
831600003160000-120-2003-0001020030605<NA>3폐업2폐업20090917<NA><NA><NA>02 8509397<NA>152848서울특별시 구로구 구로동 197-21번지<NA><NA>씨제이프레시웨이(주)태평양물산점2008-03-28 10:01:53I2018-08-31 23:59:59.0위탁급식영업190648.446122442554.636222위탁급식영업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>N0.0<NA><NA><NA>
931600003160000-120-2003-0001120030605<NA>3폐업2폐업20080901<NA><NA><NA>0263007114<NA>152838서울특별시 구로구 구로동 45-13번지<NA><NA>씨제이프레시웨이(주) 한국SGI점2008-03-24 15:42:18I2018-08-31 23:59:59.0위탁급식영업190260.217437444426.421716위탁급식영업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>N0.0<NA><NA><NA>
개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)위생업태명남성종사자수여성종사자수영업장주변구분명등급구분명급수시설구분명총인원본사종업원수공장사무직종업원수공장판매직종업원수공장생산직종업원수건물소유구분명보증액월세액다중이용업소여부시설총규모전통업소지정번호전통업소주된음식홈페이지
19431600003160000-120-2023-0000120230113<NA>1영업/정상1영업<NA><NA><NA><NA><NA><NA>152896서울특별시 구로구 오류동 147 사회복지법인삼농복지재단서울특별시 구로구 오류로8길 84, 사회복지법인삼농복지재단 (오류동)8344(주)큰나무푸드(삼농실버마을)2023-01-16 17:48:27U2022-11-30 23:08:00.0위탁급식영업186200.421785443388.521024<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
19531600003160000-120-2023-000022023-01-25<NA>1영업/정상1영업<NA><NA><NA><NA><NA><NA>152-714서울특별시 구로구 고척동 62-160 동양미래대학교서울특별시 구로구 경인로 445, 동양미래대학교 지하1층 (고척동)8221서울구로지역자활센터(동양미래대학교)2024-04-12 11:24:47U2023-12-03 23:04:00.0위탁급식영업188228.989966444267.461512<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
19631600003160000-120-2023-000032023-02-27<NA>1영업/정상1영업<NA><NA><NA><NA><NA><NA>152-868서울특별시 구로구 구로동 685-194 구일고등학교서울특별시 구로구 구일로 90-51, 구일고등학교 (구로동)8324가람푸드써비스(주) 구일고2023-02-27 15:03:59I2022-12-03 00:01:00.0위탁급식영업188783.343273443531.354053<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
19731600003160000-120-2023-000042023-02-27<NA>3폐업2폐업2024-02-28<NA><NA><NA><NA><NA>152-842서울특별시 구로구 구로동 105-1 구로고등학교서울특별시 구로구 가마산로27길 45, 구로고등학교 (구로동)8299가람푸드써비스(주) 구로고2024-02-28 14:52:15U2023-12-03 00:01:00.0위탁급식영업190197.873287444041.00045<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
19831600003160000-120-2023-000052023-03-02<NA>3폐업2폐업2024-02-28<NA><NA><NA>0233920455<NA>152-883서울특별시 구로구 궁동 232 세종과학고등학교서울특별시 구로구 오리로21길 79, 세종과학고등학교 (궁동)8258(주)엘에스씨푸드 세종과학고등학교2024-02-28 14:15:37U2023-12-03 00:01:00.0위탁급식영업184678.11947443885.980888<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
19931600003160000-120-2023-000062023-03-03<NA>1영업/정상1영업<NA><NA><NA><NA><NA><NA>152-883서울특별시 구로구 궁동 230 우신고등학교,우신중학교서울특별시 구로구 부일로 917, 우신고등학교,우신중학교 (궁동)8258(주)이유에프에스 우신고등학교점2023-03-03 10:08:52I2022-12-03 00:05:00.0위탁급식영업184664.090902443642.084114<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
20031600003160000-120-2023-000072023-10-24<NA>1영업/정상1영업<NA><NA><NA><NA><NA>272.00152-845서울특별시 구로구 구로동 120-3 서울특별시지하철공사 대림별관서울특별시 구로구 도림천로 352, 서울특별시지하철공사 대림별관 지상7층 (구로동)8304본우리집밥 서울교통공사대림별관점2023-10-24 14:46:44I2022-10-30 22:06:00.0위탁급식영업190575.716483443476.024858<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
20131600003160000-120-2024-000012024-02-28<NA>1영업/정상1영업<NA><NA><NA><NA><NA><NA>152-883서울특별시 구로구 궁동 232 세종과학고등학교서울특별시 구로구 오리로21길 79, 세종과학고등학교 (궁동)8258가람푸드써비스(주) 세종과학고2024-02-28 15:01:39I2023-12-03 00:01:00.0위탁급식영업184678.11947443885.980888<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
20231600003160000-120-2024-000022024-02-29<NA>1영업/정상1영업<NA><NA><NA><NA><NA>126.00152-140서울특별시 구로구 항동 1-7 유한공업고등학교서울특별시 구로구 경인로 8, 유한공업고등학교 (항동)8360세종에프앤에스(주)-유한공고2024-02-29 13:25:02I2023-12-03 00:02:00.0위탁급식영업184348.735819442888.851979<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
20331600003160000-120-2024-000032024-02-29<NA>1영업/정상1영업<NA><NA><NA><NA>02 8512065686.00152-842서울특별시 구로구 구로동 105-1 구로고등학교서울특별시 구로구 가마산로27길 45, 구로고등학교 (구로동)8299(주)엘에스씨푸드 구로고등학교2024-02-29 15:57:12I2023-12-03 00:02:00.0위탁급식영업190197.873287444041.00045<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>