Overview

Dataset statistics

Number of variables44
Number of observations45
Missing cells455
Missing cells (%)23.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory16.8 KiB
Average record size in memory381.9 B

Variable types

Categorical21
Text5
DateTime3
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
Author동작구
URLhttps://data.seoul.go.kr/dataList/OA-18046/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
업태구분명 has constant value ""Constant
다중이용업소여부 has constant value ""Constant
남성종사자수 is highly imbalanced (73.8%)Imbalance
여성종사자수 is highly imbalanced (73.8%)Imbalance
총인원 is highly imbalanced (73.8%)Imbalance
공장사무직종업원수 is highly imbalanced (54.9%)Imbalance
보증액 is highly imbalanced (73.8%)Imbalance
월세액 is highly imbalanced (73.8%)Imbalance
시설총규모 is highly imbalanced (55.2%)Imbalance
인허가취소일자 has 45 (100.0%) missing valuesMissing
폐업일자 has 9 (20.0%) missing valuesMissing
휴업시작일자 has 45 (100.0%) missing valuesMissing
휴업종료일자 has 45 (100.0%) missing valuesMissing
재개업일자 has 45 (100.0%) missing valuesMissing
전화번호 has 10 (22.2%) missing valuesMissing
소재지면적 has 11 (24.4%) missing valuesMissing
도로명주소 has 7 (15.6%) missing valuesMissing
도로명우편번호 has 7 (15.6%) missing valuesMissing
영업장주변구분명 has 45 (100.0%) missing valuesMissing
등급구분명 has 45 (100.0%) missing valuesMissing
다중이용업소여부 has 6 (13.3%) missing valuesMissing
전통업소지정번호 has 45 (100.0%) missing valuesMissing
전통업소주된음식 has 45 (100.0%) missing valuesMissing
홈페이지 has 45 (100.0%) missing valuesMissing
관리번호 has unique valuesUnique
최종수정일자 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
영업장주변구분명 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
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

Reproduction

Analysis started2024-04-06 11:44:09.842404
Analysis finished2024-04-06 11:44:10.643249
Duration0.8 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Memory size492.0 B
3190000
45 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3190000
2nd row3190000
3rd row3190000
4th row3190000
5th row3190000

Common Values

ValueCountFrequency (%)
3190000 45
100.0%

Length

2024-04-06T20:44:10.737900image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T20:44:10.889054image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3190000 45
100.0%

관리번호
Text

UNIQUE 

Distinct45
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size492.0 B
2024-04-06T20:44:11.167874image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length22
Median length22
Mean length22
Min length22

Characters and Unicode

Total characters990
Distinct characters11
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique45 ?
Unique (%)100.0%

Sample

1st row3190000-122-2008-00001
2nd row3190000-122-2008-00002
3rd row3190000-122-2008-00003
4th row3190000-122-2008-00004
5th row3190000-122-2008-00005
ValueCountFrequency (%)
3190000-122-2008-00001 1
 
2.2%
3190000-122-2011-00004 1
 
2.2%
3190000-122-2012-00001 1
 
2.2%
3190000-122-2012-00002 1
 
2.2%
3190000-122-2012-00003 1
 
2.2%
3190000-122-2014-00001 1
 
2.2%
3190000-122-2014-00002 1
 
2.2%
3190000-122-2015-00001 1
 
2.2%
3190000-122-2016-00001 1
 
2.2%
3190000-122-2018-00001 1
 
2.2%
Other values (35) 35
77.8%
2024-04-06T20:44:11.656383image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 426
43.0%
2 155
 
15.7%
- 135
 
13.6%
1 134
 
13.5%
9 58
 
5.9%
3 53
 
5.4%
8 12
 
1.2%
4 7
 
0.7%
5 5
 
0.5%
6 3
 
0.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 855
86.4%
Dash Punctuation 135
 
13.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 426
49.8%
2 155
 
18.1%
1 134
 
15.7%
9 58
 
6.8%
3 53
 
6.2%
8 12
 
1.4%
4 7
 
0.8%
5 5
 
0.6%
6 3
 
0.4%
7 2
 
0.2%
Dash Punctuation
ValueCountFrequency (%)
- 135
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 990
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 426
43.0%
2 155
 
15.7%
- 135
 
13.6%
1 134
 
13.5%
9 58
 
5.9%
3 53
 
5.4%
8 12
 
1.2%
4 7
 
0.7%
5 5
 
0.5%
6 3
 
0.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 990
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 426
43.0%
2 155
 
15.7%
- 135
 
13.6%
1 134
 
13.5%
9 58
 
5.9%
3 53
 
5.4%
8 12
 
1.2%
4 7
 
0.7%
5 5
 
0.5%
6 3
 
0.3%

인허가일자
Date

Distinct41
Distinct (%)91.1%
Missing0
Missing (%)0.0%
Memory size492.0 B
Minimum2008-03-21 00:00:00
Maximum2023-12-12 00:00:00
2024-04-06T20:44:11.868394image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T20:44:12.122906image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=41)

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing45
Missing (%)100.0%
Memory size537.0 B

영업상태코드
Categorical

Distinct2
Distinct (%)4.4%
Missing0
Missing (%)0.0%
Memory size492.0 B
3
36 
1
9 

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 36
80.0%
1 9
 
20.0%

Length

2024-04-06T20:44:12.330974image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T20:44:12.492921image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 36
80.0%
1 9
 
20.0%

영업상태명
Categorical

Distinct2
Distinct (%)4.4%
Missing0
Missing (%)0.0%
Memory size492.0 B
폐업
36 
영업/정상
9 

Length

Max length5
Median length2
Mean length2.6
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 36
80.0%
영업/정상 9
 
20.0%

Length

2024-04-06T20:44:12.671962image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T20:44:12.806085image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 36
80.0%
영업/정상 9
 
20.0%

상세영업상태코드
Categorical

Distinct2
Distinct (%)4.4%
Missing0
Missing (%)0.0%
Memory size492.0 B
2
36 
1
9 

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 36
80.0%
1 9
 
20.0%

Length

2024-04-06T20:44:12.946017image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T20:44:13.105803image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2 36
80.0%
1 9
 
20.0%

상세영업상태명
Categorical

Distinct2
Distinct (%)4.4%
Missing0
Missing (%)0.0%
Memory size492.0 B
폐업
36 
영업
9 

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 36
80.0%
영업 9
 
20.0%

Length

2024-04-06T20:44:13.292873image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T20:44:13.433179image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 36
80.0%
영업 9
 
20.0%

폐업일자
Real number (ℝ)

MISSING 

Distinct34
Distinct (%)94.4%
Missing9
Missing (%)20.0%
Infinite0
Infinite (%)0.0%
Mean20150808
Minimum20090929
Maximum20230113
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size537.0 B
2024-04-06T20:44:13.608389image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20090929
5-th percentile20100630
Q120127884
median20145204
Q320180308
95-th percentile20213456
Maximum20230113
Range139184
Interquartile range (IQR)52424.75

Descriptive statistics

Standard deviation36876.822
Coefficient of variation (CV)0.0018300419
Kurtosis-0.70813027
Mean20150808
Median Absolute Deviation (MAD)24789.5
Skewness0.46629343
Sum7.2542907 × 108
Variance1.3599 × 109
MonotonicityNot monotonic
2024-04-06T20:44:13.794447image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=34)
ValueCountFrequency (%)
20150415 2
 
4.4%
20100630 2
 
4.4%
20180411 1
 
2.2%
20160219 1
 
2.2%
20130107 1
 
2.2%
20180122 1
 
2.2%
20150102 1
 
2.2%
20171214 1
 
2.2%
20180308 1
 
2.2%
20130204 1
 
2.2%
Other values (24) 24
53.3%
(Missing) 9
 
20.0%
ValueCountFrequency (%)
20090929 1
2.2%
20100630 2
4.4%
20100728 1
2.2%
20111102 1
2.2%
20120210 1
2.2%
20120618 1
2.2%
20120709 1
2.2%
20121213 1
2.2%
20130107 1
2.2%
20130204 1
2.2%
ValueCountFrequency (%)
20230113 1
2.2%
20220823 1
2.2%
20211001 1
2.2%
20201020 1
2.2%
20200924 1
2.2%
20200210 1
2.2%
20190322 1
2.2%
20180411 1
2.2%
20180309 1
2.2%
20180308 1
2.2%

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing45
Missing (%)100.0%
Memory size537.0 B

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing45
Missing (%)100.0%
Memory size537.0 B

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing45
Missing (%)100.0%
Memory size537.0 B

전화번호
Text

MISSING 

Distinct34
Distinct (%)97.1%
Missing10
Missing (%)22.2%
Memory size492.0 B
2024-04-06T20:44:14.052151image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length11.428571
Min length7

Characters and Unicode

Total characters400
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

Unique33 ?
Unique (%)94.3%

Sample

1st row02 817 8566
2nd row02 821 5924
3rd row02 8153773
4th row02 22547014
5th row02 821 6200
ValueCountFrequency (%)
02 28
34.6%
814 4
 
4.9%
2929 2
 
2.5%
824 2
 
2.5%
821 2
 
2.5%
813 2
 
2.5%
21024595 1
 
1.2%
0222547112 1
 
1.2%
07041093923 1
 
1.2%
6661 1
 
1.2%
Other values (37) 37
45.7%
2024-04-06T20:44:14.502716image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 74
18.5%
71
17.8%
0 56
14.0%
8 38
9.5%
1 32
8.0%
4 25
 
6.2%
3 25
 
6.2%
5 23
 
5.8%
7 20
 
5.0%
6 19
 
4.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 329
82.2%
Space Separator 71
 
17.8%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 74
22.5%
0 56
17.0%
8 38
11.6%
1 32
9.7%
4 25
 
7.6%
3 25
 
7.6%
5 23
 
7.0%
7 20
 
6.1%
6 19
 
5.8%
9 17
 
5.2%
Space Separator
ValueCountFrequency (%)
71
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 400
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
2 74
18.5%
71
17.8%
0 56
14.0%
8 38
9.5%
1 32
8.0%
4 25
 
6.2%
3 25
 
6.2%
5 23
 
5.8%
7 20
 
5.0%
6 19
 
4.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 400
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 74
18.5%
71
17.8%
0 56
14.0%
8 38
9.5%
1 32
8.0%
4 25
 
6.2%
3 25
 
6.2%
5 23
 
5.8%
7 20
 
5.0%
6 19
 
4.8%

소재지면적
Real number (ℝ)

MISSING 

Distinct33
Distinct (%)97.1%
Missing11
Missing (%)24.4%
Infinite0
Infinite (%)0.0%
Mean56.800588
Minimum3.3
Maximum250
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size537.0 B
2024-04-06T20:44:14.798961image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3.3
5-th percentile7.575
Q123.215
median39.44
Q366.75
95-th percentile193.414
Maximum250
Range246.7
Interquartile range (IQR)43.535

Descriptive statistics

Standard deviation57.471943
Coefficient of variation (CV)1.0118195
Kurtosis4.7343991
Mean56.800588
Median Absolute Deviation (MAD)21.53
Skewness2.1855728
Sum1931.22
Variance3303.0242
MonotonicityNot monotonic
2024-04-06T20:44:15.208514image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=33)
ValueCountFrequency (%)
66.0 2
 
4.4%
67.68 1
 
2.2%
23.1 1
 
2.2%
6.6 1
 
2.2%
8.1 1
 
2.2%
25.5 1
 
2.2%
250.0 1
 
2.2%
40.15 1
 
2.2%
33.82 1
 
2.2%
3.3 1
 
2.2%
Other values (23) 23
51.1%
(Missing) 11
24.4%
ValueCountFrequency (%)
3.3 1
2.2%
6.6 1
2.2%
8.1 1
2.2%
16.1 1
2.2%
16.34 1
2.2%
16.52 1
2.2%
19.3 1
2.2%
19.4 1
2.2%
23.1 1
2.2%
23.56 1
2.2%
ValueCountFrequency (%)
250.0 1
2.2%
222.04 1
2.2%
178.0 1
2.2%
118.0 1
2.2%
92.8 1
2.2%
82.5 1
2.2%
72.5 1
2.2%
67.68 1
2.2%
67.0 1
2.2%
66.0 2
4.4%

소재지우편번호
Categorical

Distinct22
Distinct (%)48.9%
Missing0
Missing (%)0.0%
Memory size492.0 B
156800
15 
156813
6 
156703
4 
156808
2 
156882
 
1
Other values (17)
17 

Length

Max length7
Median length6
Mean length6.0666667
Min length6

Unique

Unique18 ?
Unique (%)40.0%

Sample

1st row156848
2nd row156703
3rd row156800
4th row156800
5th row156800

Common Values

ValueCountFrequency (%)
156800 15
33.3%
156813 6
 
13.3%
156703 4
 
8.9%
156808 2
 
4.4%
156882 1
 
2.2%
156840 1
 
2.2%
156852 1
 
2.2%
156805 1
 
2.2%
156811 1
 
2.2%
156849 1
 
2.2%
Other values (12) 12
26.7%

Length

2024-04-06T20:44:15.792685image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
156800 15
33.3%
156813 6
 
13.3%
156703 4
 
8.9%
156808 2
 
4.4%
156704 1
 
2.2%
156848 1
 
2.2%
156827 1
 
2.2%
156-856 1
 
2.2%
156-804 1
 
2.2%
156823 1
 
2.2%
Other values (12) 12
26.7%

지번주소
Text

Distinct38
Distinct (%)84.4%
Missing0
Missing (%)0.0%
Memory size492.0 B
2024-04-06T20:44:16.214226image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length38
Median length35
Mean length25.088889
Min length16

Characters and Unicode

Total characters1129
Distinct characters79
Distinct categories5 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique34 ?
Unique (%)75.6%

Sample

1st row서울특별시 동작구 신대방동 362-43
2nd row서울특별시 동작구 노량진동 13-8 노량진수산시장 사동 228호
3rd row서울특별시 동작구 노량진동 13-8 1동 1층 1호
4th row서울특별시 동작구 노량진동 13-6 노량진수산물도매시장
5th row서울특별시 동작구 노량진동 13-8 지하1층
ValueCountFrequency (%)
서울특별시 45
19.9%
동작구 45
19.9%
노량진동 27
 
11.9%
13-8 9
 
4.0%
19-6 5
 
2.2%
신대방동 5
 
2.2%
사당동 4
 
1.8%
노량진수산물도매시장 3
 
1.3%
13-6 3
 
1.3%
노량진수산시장 3
 
1.3%
Other values (63) 77
34.1%
2024-04-06T20:44:16.776412image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
217
19.2%
동 99
 
8.8%
시 54
 
4.8%
서 46
 
4.1%
1 46
 
4.1%
특 45
 
4.0%
별 45
 
4.0%
작 45
 
4.0%
구 45
 
4.0%
울 45
 
4.0%
Other values (69) 442
39.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 687
60.9%
Space Separator 217
 
19.2%
Decimal Number 188
 
16.7%
Dash Punctuation 35
 
3.1%
Uppercase Letter 2
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 99
14.4%
시 54
 
7.9%
서 46
 
6.7%
특 45
 
6.6%
별 45
 
6.6%
작 45
 
6.6%
구 45
 
6.6%
울 45
 
6.6%
량 36
 
5.2%
진 36
 
5.2%
Other values (55) 191
27.8%
Decimal Number
ValueCountFrequency (%)
1 46
24.5%
3 37
19.7%
6 18
 
9.6%
2 17
 
9.0%
4 16
 
8.5%
5 15
 
8.0%
8 13
 
6.9%
0 11
 
5.9%
9 9
 
4.8%
7 6
 
3.2%
Uppercase Letter
ValueCountFrequency (%)
P 1
50.0%
C 1
50.0%
Space Separator
ValueCountFrequency (%)
217
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 35
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 687
60.9%
Common 440
39.0%
Latin 2
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 99
14.4%
시 54
 
7.9%
서 46
 
6.7%
특 45
 
6.6%
별 45
 
6.6%
작 45
 
6.6%
구 45
 
6.6%
울 45
 
6.6%
량 36
 
5.2%
진 36
 
5.2%
Other values (55) 191
27.8%
Common
ValueCountFrequency (%)
217
49.3%
1 46
 
10.5%
3 37
 
8.4%
- 35
 
8.0%
6 18
 
4.1%
2 17
 
3.9%
4 16
 
3.6%
5 15
 
3.4%
8 13
 
3.0%
0 11
 
2.5%
Other values (2) 15
 
3.4%
Latin
ValueCountFrequency (%)
P 1
50.0%
C 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 687
60.9%
ASCII 442
39.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
217
49.1%
1 46
 
10.4%
3 37
 
8.4%
- 35
 
7.9%
6 18
 
4.1%
2 17
 
3.8%
4 16
 
3.6%
5 15
 
3.4%
8 13
 
2.9%
0 11
 
2.5%
Other values (4) 17
 
3.8%
Hangul
ValueCountFrequency (%)
동 99
14.4%
시 54
 
7.9%
서 46
 
6.7%
특 45
 
6.6%
별 45
 
6.6%
작 45
 
6.6%
구 45
 
6.6%
울 45
 
6.6%
량 36
 
5.2%
진 36
 
5.2%
Other values (55) 191
27.8%

도로명주소
Text

MISSING 

Distinct37
Distinct (%)97.4%
Missing7
Missing (%)15.6%
Memory size492.0 B
2024-04-06T20:44:17.216084image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length51
Median length42
Mean length34.684211
Min length25

Characters and Unicode

Total characters1318
Distinct characters98
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

Unique36 ?
Unique (%)94.7%

Sample

1st row서울특별시 동작구 여의대방로24길 92 (신대방동)
2nd row서울특별시 동작구 노들로 688, 사동 228호 (노량진동,노량진수산시장)
3rd row서울특별시 동작구 노들로 674, 5층 549호 (노량진동)
4th row서울특별시 동작구 노들로 688 (노량진동,지하1층)
5th row서울특별시 동작구 만양로3길 20 (노량진동)
ValueCountFrequency (%)
서울특별시 38
 
14.9%
동작구 38
 
14.9%
노량진동 16
 
6.3%
노들로 11
 
4.3%
1층 8
 
3.1%
688 6
 
2.4%
674 5
 
2.0%
2층 5
 
2.0%
노들로2길 4
 
1.6%
신대방동 4
 
1.6%
Other values (99) 120
47.1%
2024-04-06T20:44:17.890908image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
217
 
16.5%
동 86
 
6.5%
노 48
 
3.6%
시 45
 
3.4%
서 40
 
3.0%
작 40
 
3.0%
( 38
 
2.9%
특 38
 
2.9%
별 38
 
2.9%
구 38
 
2.9%
Other values (88) 690
52.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 791
60.0%
Space Separator 217
 
16.5%
Decimal Number 195
 
14.8%
Open Punctuation 38
 
2.9%
Close Punctuation 38
 
2.9%
Other Punctuation 36
 
2.7%
Uppercase Letter 2
 
0.2%
Dash Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 86
 
10.9%
노 48
 
6.1%
시 45
 
5.7%
서 40
 
5.1%
작 40
 
5.1%
특 38
 
4.8%
별 38
 
4.8%
구 38
 
4.8%
울 38
 
4.8%
로 37
 
4.7%
Other values (71) 343
43.4%
Decimal Number
ValueCountFrequency (%)
2 38
19.5%
1 35
17.9%
4 25
12.8%
6 24
12.3%
8 19
9.7%
0 14
 
7.2%
3 13
 
6.7%
5 10
 
5.1%
7 9
 
4.6%
9 8
 
4.1%
Uppercase Letter
ValueCountFrequency (%)
P 1
50.0%
C 1
50.0%
Space Separator
ValueCountFrequency (%)
217
100.0%
Open Punctuation
ValueCountFrequency (%)
( 38
100.0%
Close Punctuation
ValueCountFrequency (%)
) 38
100.0%
Other Punctuation
ValueCountFrequency (%)
, 36
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 791
60.0%
Common 525
39.8%
Latin 2
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 86
 
10.9%
노 48
 
6.1%
시 45
 
5.7%
서 40
 
5.1%
작 40
 
5.1%
특 38
 
4.8%
별 38
 
4.8%
구 38
 
4.8%
울 38
 
4.8%
로 37
 
4.7%
Other values (71) 343
43.4%
Common
ValueCountFrequency (%)
217
41.3%
( 38
 
7.2%
) 38
 
7.2%
2 38
 
7.2%
, 36
 
6.9%
1 35
 
6.7%
4 25
 
4.8%
6 24
 
4.6%
8 19
 
3.6%
0 14
 
2.7%
Other values (5) 41
 
7.8%
Latin
ValueCountFrequency (%)
P 1
50.0%
C 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 791
60.0%
ASCII 527
40.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
217
41.2%
( 38
 
7.2%
) 38
 
7.2%
2 38
 
7.2%
, 36
 
6.8%
1 35
 
6.6%
4 25
 
4.7%
6 24
 
4.6%
8 19
 
3.6%
0 14
 
2.7%
Other values (7) 43
 
8.2%
Hangul
ValueCountFrequency (%)
동 86
 
10.9%
노 48
 
6.1%
시 45
 
5.7%
서 40
 
5.1%
작 40
 
5.1%
특 38
 
4.8%
별 38
 
4.8%
구 38
 
4.8%
울 38
 
4.8%
로 37
 
4.7%
Other values (71) 343
43.4%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct22
Distinct (%)57.9%
Missing7
Missing (%)15.6%
Infinite0
Infinite (%)0.0%
Mean6949
Minimum6900
Maximum7071
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size537.0 B
2024-04-06T20:44:18.154269image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum6900
5-th percentile6900
Q16900
median6918
Q37005.75
95-th percentile7065.45
Maximum7071
Range171
Interquartile range (IQR)105.75

Descriptive statistics

Standard deviation63.100092
Coefficient of variation (CV)0.0090804565
Kurtosis-0.74660742
Mean6949
Median Absolute Deviation (MAD)18
Skewness0.97475936
Sum264062
Variance3981.6216
MonotonicityNot monotonic
2024-04-06T20:44:18.387367image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=22)
ValueCountFrequency (%)
6900 15
33.3%
6926 2
 
4.4%
6931 2
 
4.4%
7027 1
 
2.2%
7030 1
 
2.2%
6904 1
 
2.2%
6930 1
 
2.2%
7011 1
 
2.2%
7062 1
 
2.2%
6906 1
 
2.2%
Other values (12) 12
26.7%
(Missing) 7
15.6%
ValueCountFrequency (%)
6900 15
33.3%
6904 1
 
2.2%
6906 1
 
2.2%
6912 1
 
2.2%
6916 1
 
2.2%
6920 1
 
2.2%
6926 2
 
4.4%
6930 1
 
2.2%
6931 2
 
4.4%
6941 1
 
2.2%
ValueCountFrequency (%)
7071 1
2.2%
7068 1
2.2%
7065 1
2.2%
7062 1
2.2%
7056 1
2.2%
7055 1
2.2%
7030 1
2.2%
7027 1
2.2%
7025 1
2.2%
7011 1
2.2%

사업장명
Text

Distinct42
Distinct (%)93.3%
Missing0
Missing (%)0.0%
Memory size492.0 B
2024-04-06T20:44:18.736046image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length23
Median length14
Mean length6.8888889
Min length4

Characters and Unicode

Total characters310
Distinct characters120
Distinct categories5 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique40 ?
Unique (%)88.9%

Sample

1st row삼원푸드뱅크
2nd row동임수산(주)
3rd row노량진수산물납세조합(대림수산)
4th row청해수산
5th row남광상회
ValueCountFrequency (%)
진남상회 3
 
5.5%
주식회사 2
 
3.6%
한냉 2
 
3.6%
프레시월드 2
 
3.6%
성이시돌목장제주우유 1
 
1.8%
동작구공공급식센터 1
 
1.8%
삼원푸드뱅크 1
 
1.8%
주)푸드앤에듀 1
 
1.8%
애플푸드(apple 1
 
1.8%
food 1
 
1.8%
Other values (40) 40
72.7%
2024-04-06T20:44:19.404880image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 16
 
5.2%
) 14
 
4.5%
( 14
 
4.5%
10
 
3.2%
드 9
 
2.9%
산 9
 
2.9%
회 8
 
2.6%
푸 8
 
2.6%
식 7
 
2.3%
이 7
 
2.3%
Other values (110) 208
67.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 258
83.2%
Close Punctuation 14
 
4.5%
Open Punctuation 14
 
4.5%
Uppercase Letter 14
 
4.5%
Space Separator 10
 
3.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 16
 
6.2%
드 9
 
3.5%
산 9
 
3.5%
회 8
 
3.1%
푸 8
 
3.1%
식 7
 
2.7%
이 7
 
2.7%
유 7
 
2.7%
남 6
 
2.3%
에 6
 
2.3%
Other values (97) 175
67.8%
Uppercase Letter
ValueCountFrequency (%)
P 3
21.4%
S 2
14.3%
O 2
14.3%
L 1
 
7.1%
A 1
 
7.1%
E 1
 
7.1%
F 1
 
7.1%
D 1
 
7.1%
K 1
 
7.1%
C 1
 
7.1%
Close Punctuation
ValueCountFrequency (%)
) 14
100.0%
Open Punctuation
ValueCountFrequency (%)
( 14
100.0%
Space Separator
ValueCountFrequency (%)
10
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 258
83.2%
Common 38
 
12.3%
Latin 14
 
4.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 16
 
6.2%
드 9
 
3.5%
산 9
 
3.5%
회 8
 
3.1%
푸 8
 
3.1%
식 7
 
2.7%
이 7
 
2.7%
유 7
 
2.7%
남 6
 
2.3%
에 6
 
2.3%
Other values (97) 175
67.8%
Latin
ValueCountFrequency (%)
P 3
21.4%
S 2
14.3%
O 2
14.3%
L 1
 
7.1%
A 1
 
7.1%
E 1
 
7.1%
F 1
 
7.1%
D 1
 
7.1%
K 1
 
7.1%
C 1
 
7.1%
Common
ValueCountFrequency (%)
) 14
36.8%
( 14
36.8%
10
26.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 258
83.2%
ASCII 52
 
16.8%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 16
 
6.2%
드 9
 
3.5%
산 9
 
3.5%
회 8
 
3.1%
푸 8
 
3.1%
식 7
 
2.7%
이 7
 
2.7%
유 7
 
2.7%
남 6
 
2.3%
에 6
 
2.3%
Other values (97) 175
67.8%
ASCII
ValueCountFrequency (%)
) 14
26.9%
( 14
26.9%
10
19.2%
P 3
 
5.8%
S 2
 
3.8%
O 2
 
3.8%
L 1
 
1.9%
A 1
 
1.9%
E 1
 
1.9%
F 1
 
1.9%
Other values (3) 3
 
5.8%

최종수정일자
Date

UNIQUE 

Distinct45
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size492.0 B
Minimum2008-04-15 09:54:02
Maximum2023-12-12 13:20:56
2024-04-06T20:44:19.599047image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T20:44:19.817320image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=45)

데이터갱신구분
Categorical

Distinct2
Distinct (%)4.4%
Missing0
Missing (%)0.0%
Memory size492.0 B
I
35 
U
10 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
I 35
77.8%
U 10
 
22.2%

Length

2024-04-06T20:44:20.003238image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T20:44:20.208682image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 35
77.8%
u 10
 
22.2%

데이터갱신일자
Date

Distinct17
Distinct (%)37.8%
Missing0
Missing (%)0.0%
Memory size492.0 B
Minimum2018-08-31 23:59:59
Maximum2022-12-07 23:00:00
2024-04-06T20:44:20.398544image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T20:44:20.624798image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=17)

업태구분명
Categorical

CONSTANT 

Distinct1
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Memory size492.0 B
집단급식소 식품판매업
45 

Length

Max length11
Median length11
Mean length11
Min length11

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row집단급식소 식품판매업
2nd row집단급식소 식품판매업
3rd row집단급식소 식품판매업
4th row집단급식소 식품판매업
5th row집단급식소 식품판매업

Common Values

ValueCountFrequency (%)
집단급식소 식품판매업 45
100.0%

Length

2024-04-06T20:44:20.821523image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T20:44:20.937588image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
집단급식소 45
50.0%
식품판매업 45
50.0%

좌표정보(X)
Real number (ℝ)

Distinct27
Distinct (%)60.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean194701.12
Minimum191942.62
Maximum198181.32
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size537.0 B
2024-04-06T20:44:21.091480image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum191942.62
5-th percentile192538.93
Q1194164.6
median194571.15
Q3195078.24
95-th percentile197590.25
Maximum198181.32
Range6238.6995
Interquartile range (IQR)913.63673

Descriptive statistics

Standard deviation1323.5122
Coefficient of variation (CV)0.0067976609
Kurtosis1.2385415
Mean194701.12
Median Absolute Deviation (MAD)406.55293
Skewness0.63287359
Sum8761550.5
Variance1751684.6
MonotonicityNot monotonic
2024-04-06T20:44:21.294817image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=27)
ValueCountFrequency (%)
194807.845295028 9
20.0%
194346.156670595 5
 
11.1%
194164.599446001 5
 
11.1%
195173.416930025 2
 
4.4%
194571.152376388 2
 
4.4%
193322.874700908 1
 
2.2%
196131.554256259 1
 
2.2%
196905.834743069 1
 
2.2%
196741.26526076 1
 
2.2%
194417.848085197 1
 
2.2%
Other values (17) 17
37.8%
ValueCountFrequency (%)
191942.624662357 1
 
2.2%
192113.200600983 1
 
2.2%
192351.009694927 1
 
2.2%
193290.611310257 1
 
2.2%
193300.832515956 1
 
2.2%
193322.874700908 1
 
2.2%
193378.832637382 1
 
2.2%
193630.830467519 1
 
2.2%
194164.599446001 5
11.1%
194246.186439295 1
 
2.2%
ValueCountFrequency (%)
198181.324162906 1
2.2%
197802.054854046 1
2.2%
197761.349022355 1
2.2%
196905.834743069 1
2.2%
196741.26526076 1
2.2%
196131.554256259 1
2.2%
195780.933993482 1
2.2%
195704.437160618 1
2.2%
195566.899413061 1
2.2%
195173.416930025 2
4.4%

좌표정보(Y)
Real number (ℝ)

Distinct27
Distinct (%)60.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean444981.5
Minimum441694.29
Maximum445901.41
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size537.0 B
2024-04-06T20:44:21.486619image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum441694.29
5-th percentile442848.5
Q1444109.4
median445556.44
Q3445823.5
95-th percentile445901.41
Maximum445901.41
Range4207.1193
Interquartile range (IQR)1714.1049

Descriptive statistics

Standard deviation1177.1991
Coefficient of variation (CV)0.0026455012
Kurtosis0.50261667
Mean444981.5
Median Absolute Deviation (MAD)344.97222
Skewness-1.2567047
Sum20024167
Variance1385797.7
MonotonicityNot monotonic
2024-04-06T20:44:21.656918image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=27)
ValueCountFrequency (%)
445901.413432497 9
20.0%
445823.500892497 5
 
11.1%
445820.883711428 5
 
11.1%
445112.842985141 2
 
4.4%
445790.549860682 2
 
4.4%
444058.673239527 1
 
2.2%
443637.33696639 1
 
2.2%
442798.255205166 1
 
2.2%
445278.523801278 1
 
2.2%
445457.328892191 1
 
2.2%
Other values (17) 17
37.8%
ValueCountFrequency (%)
441694.294131762 1
2.2%
442062.452808873 1
2.2%
442798.255205166 1
2.2%
443049.47147487 1
2.2%
443233.261740513 1
2.2%
443302.417672701 1
2.2%
443344.373525343 1
2.2%
443441.899958164 1
2.2%
443637.33696639 1
2.2%
444058.673239527 1
2.2%
ValueCountFrequency (%)
445901.413432497 9
20.0%
445823.500892497 5
11.1%
445820.883711428 5
11.1%
445790.549860682 2
 
4.4%
445563.103373003 1
 
2.2%
445556.441216407 1
 
2.2%
445459.837936966 1
 
2.2%
445457.328892191 1
 
2.2%
445408.157703429 1
 
2.2%
445351.333867028 1
 
2.2%

위생업태명
Categorical

Distinct2
Distinct (%)4.4%
Missing0
Missing (%)0.0%
Memory size492.0 B
집단급식소 식품판매업
39 
<NA>
6 

Length

Max length11
Median length11
Mean length10.066667
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row집단급식소 식품판매업
2nd row집단급식소 식품판매업
3rd row집단급식소 식품판매업
4th row집단급식소 식품판매업
5th row집단급식소 식품판매업

Common Values

ValueCountFrequency (%)
집단급식소 식품판매업 39
86.7%
<NA> 6
 
13.3%

Length

2024-04-06T20:44:21.819227image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T20:44:22.015258image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
집단급식소 39
46.4%
식품판매업 39
46.4%
na 6
 
7.1%

남성종사자수
Categorical

IMBALANCE 

Distinct2
Distinct (%)4.4%
Missing0
Missing (%)0.0%
Memory size492.0 B
<NA>
43 
0
 
2

Length

Max length4
Median length4
Mean length3.8666667
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> 43
95.6%
0 2
 
4.4%

Length

2024-04-06T20:44:22.224194image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T20:44:22.417772image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 43
95.6%
0 2
 
4.4%

여성종사자수
Categorical

IMBALANCE 

Distinct2
Distinct (%)4.4%
Missing0
Missing (%)0.0%
Memory size492.0 B
<NA>
43 
0
 
2

Length

Max length4
Median length4
Mean length3.8666667
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> 43
95.6%
0 2
 
4.4%

Length

2024-04-06T20:44:22.567312image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T20:44:22.748610image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 43
95.6%
0 2
 
4.4%

영업장주변구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing45
Missing (%)100.0%
Memory size537.0 B

등급구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing45
Missing (%)100.0%
Memory size537.0 B

급수시설구분명
Categorical

Distinct2
Distinct (%)4.4%
Missing0
Missing (%)0.0%
Memory size492.0 B
<NA>
40 
상수도전용
5 

Length

Max length5
Median length4
Mean length4.1111111
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 40
88.9%
상수도전용 5
 
11.1%

Length

2024-04-06T20:44:22.964701image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T20:44:23.188736image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 40
88.9%
상수도전용 5
 
11.1%

총인원
Categorical

IMBALANCE 

Distinct2
Distinct (%)4.4%
Missing0
Missing (%)0.0%
Memory size492.0 B
<NA>
43 
0
 
2

Length

Max length4
Median length4
Mean length3.8666667
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> 43
95.6%
0 2
 
4.4%

Length

2024-04-06T20:44:23.351947image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T20:44:23.514559image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 43
95.6%
0 2
 
4.4%

본사종업원수
Categorical

Distinct2
Distinct (%)4.4%
Missing0
Missing (%)0.0%
Memory size492.0 B
<NA>
38 
0
7 

Length

Max length4
Median length4
Mean length3.5333333
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 38
84.4%
0 7
 
15.6%

Length

2024-04-06T20:44:23.674222image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T20:44:23.817592image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 38
84.4%
0 7
 
15.6%

공장사무직종업원수
Categorical

IMBALANCE 

Distinct3
Distinct (%)6.7%
Missing0
Missing (%)0.0%
Memory size492.0 B
<NA>
38 
0
6 
1
 
1

Length

Max length4
Median length4
Mean length3.5333333
Min length1

Unique

Unique1 ?
Unique (%)2.2%

Sample

1st row0
2nd row<NA>
3rd row0
4th row1
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 38
84.4%
0 6
 
13.3%
1 1
 
2.2%

Length

2024-04-06T20:44:24.009627image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T20:44:24.227343image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 38
84.4%
0 6
 
13.3%
1 1
 
2.2%

공장판매직종업원수
Categorical

Distinct2
Distinct (%)4.4%
Missing0
Missing (%)0.0%
Memory size492.0 B
<NA>
38 
0
7 

Length

Max length4
Median length4
Mean length3.5333333
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 38
84.4%
0 7
 
15.6%

Length

2024-04-06T20:44:24.416761image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T20:44:24.658969image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 38
84.4%
0 7
 
15.6%

공장생산직종업원수
Categorical

Distinct2
Distinct (%)4.4%
Missing0
Missing (%)0.0%
Memory size492.0 B
<NA>
38 
0
7 

Length

Max length4
Median length4
Mean length3.5333333
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 38
84.4%
0 7
 
15.6%

Length

2024-04-06T20:44:25.080357image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T20:44:25.351218image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 38
84.4%
0 7
 
15.6%

건물소유구분명
Categorical

Distinct3
Distinct (%)6.7%
Missing0
Missing (%)0.0%
Memory size492.0 B
<NA>
30 
자가
8 
임대
7 

Length

Max length4
Median length4
Mean length3.3333333
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 30
66.7%
자가 8
 
17.8%
임대 7
 
15.6%

Length

2024-04-06T20:44:25.670156image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T20:44:25.864430image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 30
66.7%
자가 8
 
17.8%
임대 7
 
15.6%

보증액
Categorical

IMBALANCE 

Distinct3
Distinct (%)6.7%
Missing0
Missing (%)0.0%
Memory size492.0 B
<NA>
42 
0
 
2
11000000
 
1

Length

Max length8
Median length4
Mean length3.9555556
Min length1

Unique

Unique1 ?
Unique (%)2.2%

Sample

1st row<NA>
2nd row<NA>
3rd row11000000
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 42
93.3%
0 2
 
4.4%
11000000 1
 
2.2%

Length

2024-04-06T20:44:26.062940image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T20:44:26.233849image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 42
93.3%
0 2
 
4.4%
11000000 1
 
2.2%

월세액
Categorical

IMBALANCE 

Distinct3
Distinct (%)6.7%
Missing0
Missing (%)0.0%
Memory size492.0 B
<NA>
42 
0
 
2
924000
 
1

Length

Max length6
Median length4
Mean length3.9111111
Min length1

Unique

Unique1 ?
Unique (%)2.2%

Sample

1st row<NA>
2nd row<NA>
3rd row924000
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 42
93.3%
0 2
 
4.4%
924000 1
 
2.2%

Length

2024-04-06T20:44:26.395985image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T20:44:26.559870image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 42
93.3%
0 2
 
4.4%
924000 1
 
2.2%

다중이용업소여부
Boolean

CONSTANT  MISSING 

Distinct1
Distinct (%)2.6%
Missing6
Missing (%)13.3%
Memory size222.0 B
False
39 
(Missing)
6 
ValueCountFrequency (%)
False 39
86.7%
(Missing) 6
 
13.3%
2024-04-06T20:44:26.708627image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

시설총규모
Categorical

IMBALANCE 

Distinct6
Distinct (%)13.3%
Missing0
Missing (%)0.0%
Memory size492.0 B
0.0
35 
<NA>
6 
6.5
 
1
28.65
 
1
40.0
 
1

Length

Max length5
Median length3
Mean length3.2222222
Min length3

Unique

Unique4 ?
Unique (%)8.9%

Sample

1st row0.0
2nd row0.0
3rd row6.5
4th row0.0
5th row0.0

Common Values

ValueCountFrequency (%)
0.0 35
77.8%
<NA> 6
 
13.3%
6.5 1
 
2.2%
28.65 1
 
2.2%
40.0 1
 
2.2%
21.0 1
 
2.2%

Length

2024-04-06T20:44:26.922320image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T20:44:27.220303image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0.0 35
77.8%
na 6
 
13.3%
6.5 1
 
2.2%
28.65 1
 
2.2%
40.0 1
 
2.2%
21.0 1
 
2.2%

전통업소지정번호
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing45
Missing (%)100.0%
Memory size537.0 B

전통업소주된음식
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing45
Missing (%)100.0%
Memory size537.0 B

홈페이지
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing45
Missing (%)100.0%
Memory size537.0 B

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)위생업태명남성종사자수여성종사자수영업장주변구분명등급구분명급수시설구분명총인원본사종업원수공장사무직종업원수공장판매직종업원수공장생산직종업원수건물소유구분명보증액월세액다중이용업소여부시설총규모전통업소지정번호전통업소주된음식홈페이지
031900003190000-122-2008-0000120080321<NA>3폐업2폐업20121213<NA><NA><NA>02 817 8566222.04156848서울특별시 동작구 신대방동 362-43서울특별시 동작구 여의대방로24길 92 (신대방동)7056삼원푸드뱅크2008-04-15 09:54:02I2018-08-31 23:59:59.0집단급식소 식품판매업193322.874701444058.67324집단급식소 식품판매업<NA><NA><NA><NA>상수도전용<NA>0000<NA><NA><NA>N0.0<NA><NA><NA>
131900003190000-122-2008-0000220080506<NA>3폐업2폐업20130429<NA><NA><NA>02 821 5924<NA>156703서울특별시 동작구 노량진동 13-8 노량진수산시장 사동 228호서울특별시 동작구 노들로 688, 사동 228호 (노량진동,노량진수산시장)6900동임수산(주)2008-05-06 13:15:23I2018-08-31 23:59:59.0집단급식소 식품판매업194807.845295445901.413432집단급식소 식품판매업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>N0.0<NA><NA><NA>
231900003190000-122-2008-0000320080812<NA>3폐업2폐업20120210<NA><NA><NA>02 815377316.1156800서울특별시 동작구 노량진동 13-8 1동 1층 1호<NA><NA>노량진수산물납세조합(대림수산)2008-08-12 15:34:43I2018-08-31 23:59:59.0집단급식소 식품판매업194807.845295445901.413432집단급식소 식품판매업<NA><NA><NA><NA>상수도전용<NA>0000임대11000000924000N6.5<NA><NA><NA>
331900003190000-122-2008-0000420080812<NA>3폐업2폐업20200924<NA><NA><NA>02 2254701419.3156800서울특별시 동작구 노량진동 13-6 노량진수산물도매시장서울특별시 동작구 노들로 674, 5층 549호 (노량진동)6900청해수산2020-09-24 10:35:43U2020-09-26 02:40:00.0집단급식소 식품판매업194346.156671445823.500892집단급식소 식품판매업<NA><NA><NA><NA><NA><NA>0100<NA><NA><NA>N0.0<NA><NA><NA>
431900003190000-122-2008-0000520080812<NA>3폐업2폐업20150318<NA><NA><NA>02 821 620023.56156800서울특별시 동작구 노량진동 13-8 지하1층서울특별시 동작구 노들로 688 (노량진동,지하1층)6900남광상회2008-08-18 17:39:19I2018-08-31 23:59:59.0집단급식소 식품판매업194807.845295445901.413432집단급식소 식품판매업<NA><NA><NA><NA>상수도전용<NA><NA><NA><NA><NA>임대<NA><NA>N0.0<NA><NA><NA>
531900003190000-122-2008-0000620080821<NA>3폐업2폐업20120709<NA><NA><NA>02 824 292931.95156813서울특별시 동작구 노량진동 325-4서울특별시 동작구 만양로3길 20 (노량진동)6926농협쌀직판장2008-09-04 17:03:25I2018-08-31 23:59:59.0집단급식소 식품판매업195173.41693445112.842985집단급식소 식품판매업<NA><NA><NA><NA><NA><NA>0000<NA><NA><NA>N28.65<NA><NA><NA>
631900003190000-122-2008-0000720080924<NA>3폐업2폐업20090929<NA><NA><NA>0221024480<NA>156800서울특별시 동작구 노량진동 19-6<NA><NA>주식회사 한냉2009-03-12 17:37:22I2018-08-31 23:59:59.0집단급식소 식품판매업194164.599446445820.883711집단급식소 식품판매업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>N0.0<NA><NA><NA>
731900003190000-122-2008-0000820081013<NA>3폐업2폐업20100630<NA><NA><NA>02 816 7836<NA>156800서울특별시 동작구 노량진동 13-8<NA><NA>하동상회2008-10-13 17:20:26I2018-08-31 23:59:59.0집단급식소 식품판매업194807.845295445901.413432집단급식소 식품판매업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>N0.0<NA><NA><NA>
831900003190000-122-2008-0000920081017<NA>3폐업2폐업20100630<NA><NA><NA>826633649.0156808서울특별시 동작구 대방동 333-3<NA><NA>대성슈퍼2008-11-21 09:38:45I2018-08-31 23:59:59.0집단급식소 식품판매업193630.830468444104.439547집단급식소 식품판매업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>N40.0<NA><NA><NA>
931900003190000-122-2009-0000120090114<NA>3폐업2폐업20100728<NA><NA><NA>02 22030073<NA>156800서울특별시 동작구 노량진동 19-6<NA><NA>대건푸드2009-01-14 17:11:20I2018-08-31 23:59:59.0집단급식소 식품판매업194164.599446445820.883711집단급식소 식품판매업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>N0.0<NA><NA><NA>
개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)위생업태명남성종사자수여성종사자수영업장주변구분명등급구분명급수시설구분명총인원본사종업원수공장사무직종업원수공장판매직종업원수공장생산직종업원수건물소유구분명보증액월세액다중이용업소여부시설총규모전통업소지정번호전통업소주된음식홈페이지
3531900003190000-122-2019-0000220190529<NA>3폐업2폐업20201020<NA><NA><NA>022254711225.5156800서울특별시 동작구 노량진동 13-6 노량진수산물도매시장서울특별시 동작구 노들로 674, 노량진수산물도매시장 5층 519호 (노량진동)6900경남상회2020-10-20 11:54:16U2020-10-22 02:40:00.0집단급식소 식품판매업194346.156671445823.500892집단급식소 식품판매업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>N0.0<NA><NA><NA>
3631900003190000-122-2019-0000320191018<NA>3폐업2폐업20211001<NA><NA><NA>02 8155188250.0156060서울특별시 동작구 본동 150 한강쌍용아파트서울특별시 동작구 노량진로24길 2, 1층 112호 (본동, 한강쌍용아파트)6906애플마트 노들점2021-10-01 16:58:55U2021-10-03 02:40:00.0집단급식소 식품판매업195780.933993445556.441216집단급식소 식품판매업00<NA><NA><NA>00000<NA>00N0.0<NA><NA><NA>
3731900003190000-122-2019-0000420190307<NA>1영업/정상1영업<NA><NA><NA><NA>02 457298867.68156804서울특별시 동작구 노량진동 271-7서울특별시 동작구 노량진로6길 18, 2층 (노량진동)6931동작구공공급식센터2021-01-28 16:33:11I2021-01-30 00:23:03.0집단급식소 식품판매업194246.186439445563.103373집단급식소 식품판매업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>N0.0<NA><NA><NA>
3831900003190000-122-2019-0000520190129<NA>1영업/정상1영업<NA><NA><NA><NA><NA>40.15156850서울특별시 동작구 신대방동 474-6서울특별시 동작구 여의대방로10가길 13, 1층 (신대방동)7062프레시월드2022-04-07 10:43:54I2021-12-04 00:09:00.0집단급식소 식품판매업192351.009695443441.899958<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
3931900003190000-122-2020-0000120201124<NA>3폐업2폐업20230113<NA><NA><NA>02 633921023.3156823서울특별시 동작구 사당동 316-136서울특별시 동작구 사당로20길 54, 1층 (사당동)7011성이시돌목장제주우유2023-01-13 10:49:06U2022-11-30 23:05:00.0집단급식소 식품판매업197761.349022442062.452809<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
4031900003190000-122-2021-0000120210217<NA>1영업/정상1영업<NA><NA><NA><NA><NA>19.4156813서울특별시 동작구 노량진동 334 노량진 수산물 도매시장서울특별시 동작구 노들로 674, 노량진 수산물 도매시장 서관 684호 (노량진동)6900(주)이쿡스2021-02-17 16:54:01I2021-02-19 00:23:01.0집단급식소 식품판매업194346.156671445823.500892집단급식소 식품판매업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>임대<NA><NA>N0.0<NA><NA><NA>
4131900003190000-122-2021-0000220211012<NA>1영업/정상1영업<NA><NA><NA><NA>02 2254792933.92156813서울특별시 동작구 노량진동 334 노량진 수산물 도매시장서울특별시 동작구 노들로 674, 노량진 수산물 도매시장 2층 16호 (노량진동)6900진남상회2021-10-12 09:37:12I2021-10-14 00:22:46.0집단급식소 식품판매업194346.156671445823.500892집단급식소 식품판매업00<NA><NA><NA>00000<NA>00N0.0<NA><NA><NA>
4231900003190000-122-2022-000012022-02-08<NA>1영업/정상1영업<NA><NA><NA><NA><NA>47.6156-804서울특별시 동작구 노량진동 252-1서울특별시 동작구 노량진로10길 48, 1층 일부호 (노량진동)6930세미유통2023-07-24 14:05:15U2022-12-06 22:06:00.0집단급식소 식품판매업194417.848085445457.328892<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
4331900003190000-122-2023-000012023-07-31<NA>1영업/정상1영업<NA><NA><NA><NA>031 338031516.52156-856서울특별시 동작구 흑석동 1-3 원불교100년기념관 및 역사문화기념관서울특별시 동작구 현충로 75, 원불교100년기념관 및 역사문화기념관 2층 일부호 (흑석동)6904(주)그린온2023-08-08 11:12:18U2022-12-07 23:00:00.0집단급식소 식품판매업196741.265261445278.523801<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
4431900003190000-122-2023-000022023-12-12<NA>1영업/정상1영업<NA><NA><NA><NA><NA>46.66156-879서울특별시 동작구 사당동 204-7서울특별시 동작구 사당로2차길 25, 1층 좌측호 (사당동)7030건국우유사당보급소2023-12-12 13:20:56I2022-11-01 23:04:00.0집단급식소 식품판매업196905.834743442798.255205<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>