Overview

Dataset statistics

Number of variables44
Number of observations65
Missing cells759
Missing cells (%)26.5%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory24.2 KiB
Average record size in memory381.0 B

Variable types

Categorical18
Text7
DateTime3
Unsupported9
Numeric6
Boolean1

Dataset

Description개방자치단체코드,관리번호,인허가일자,인허가취소일자,영업상태코드,영업상태명,상세영업상태코드,상세영업상태명,폐업일자,휴업시작일자,휴업종료일자,재개업일자,전화번호,소재지면적,소재지우편번호,지번주소,도로명주소,도로명우편번호,사업장명,최종수정일자,데이터갱신구분,데이터갱신일자,업태구분명,좌표정보(X),좌표정보(Y),위생업태명,남성종사자수,여성종사자수,영업장주변구분명,등급구분명,급수시설구분명,총인원,본사종업원수,공장사무직종업원수,공장판매직종업원수,공장생산직종업원수,건물소유구분명,보증액,월세액,다중이용업소여부,시설총규모,전통업소지정번호,전통업소주된음식,홈페이지
Author서초구
URLhttps://data.seoul.go.kr/dataList/OA-18048/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
업태구분명 has constant value ""Constant
급수시설구분명 has constant value ""Constant
다중이용업소여부 has constant value ""Constant
남성종사자수 is highly imbalanced (80.2%)Imbalance
여성종사자수 is highly imbalanced (80.2%)Imbalance
총인원 is highly imbalanced (80.2%)Imbalance
보증액 is highly imbalanced (80.3%)Imbalance
월세액 is highly imbalanced (80.3%)Imbalance
인허가취소일자 has 65 (100.0%) missing valuesMissing
폐업일자 has 22 (33.8%) missing valuesMissing
휴업시작일자 has 65 (100.0%) missing valuesMissing
휴업종료일자 has 65 (100.0%) missing valuesMissing
재개업일자 has 65 (100.0%) missing valuesMissing
전화번호 has 33 (50.8%) missing valuesMissing
도로명주소 has 9 (13.8%) missing valuesMissing
도로명우편번호 has 9 (13.8%) missing valuesMissing
영업장주변구분명 has 65 (100.0%) missing valuesMissing
등급구분명 has 65 (100.0%) missing valuesMissing
급수시설구분명 has 63 (96.9%) missing valuesMissing
다중이용업소여부 has 19 (29.2%) missing valuesMissing
시설총규모 has 19 (29.2%) missing valuesMissing
전통업소지정번호 has 65 (100.0%) missing valuesMissing
전통업소주된음식 has 65 (100.0%) missing valuesMissing
홈페이지 has 65 (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
소재지면적 has 1 (1.5%) zerosZeros
시설총규모 has 34 (52.3%) zerosZeros

Reproduction

Analysis started2024-05-11 08:06:02.808397
Analysis finished2024-05-11 08:06:03.363777
Duration0.56 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Memory size652.0 B
3210000
65 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3210000
2nd row3210000
3rd row3210000
4th row3210000
5th row3210000

Common Values

ValueCountFrequency (%)
3210000 65
100.0%

Length

2024-05-11T17:06:03.458446image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T17:06:03.563533image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3210000 65
100.0%

관리번호
Text

UNIQUE 

Distinct65
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size652.0 B
2024-05-11T17:06:03.727164image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length22
Median length22
Mean length22
Min length22

Characters and Unicode

Total characters1430
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

Unique65 ?
Unique (%)100.0%

Sample

1st row3210000-122-2008-00001
2nd row3210000-122-2008-00002
3rd row3210000-122-2008-00003
4th row3210000-122-2008-00004
5th row3210000-122-2008-00005
ValueCountFrequency (%)
3210000-122-2008-00001 1
 
1.5%
3210000-122-2013-00004 1
 
1.5%
3210000-122-2014-00001 1
 
1.5%
3210000-122-2014-00002 1
 
1.5%
3210000-122-2014-00003 1
 
1.5%
3210000-122-2014-00004 1
 
1.5%
3210000-122-2015-00001 1
 
1.5%
3210000-122-2015-00002 1
 
1.5%
3210000-122-2016-00001 1
 
1.5%
3210000-122-2016-00002 1
 
1.5%
Other values (55) 55
84.6%
2024-05-11T17:06:04.065533image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 609
42.6%
2 290
20.3%
1 195
 
13.6%
- 195
 
13.6%
3 86
 
6.0%
8 20
 
1.4%
4 12
 
0.8%
9 7
 
0.5%
5 6
 
0.4%
7 6
 
0.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1235
86.4%
Dash Punctuation 195
 
13.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 609
49.3%
2 290
23.5%
1 195
 
15.8%
3 86
 
7.0%
8 20
 
1.6%
4 12
 
1.0%
9 7
 
0.6%
5 6
 
0.5%
7 6
 
0.5%
6 4
 
0.3%
Dash Punctuation
ValueCountFrequency (%)
- 195
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1430
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 609
42.6%
2 290
20.3%
1 195
 
13.6%
- 195
 
13.6%
3 86
 
6.0%
8 20
 
1.4%
4 12
 
0.8%
9 7
 
0.5%
5 6
 
0.4%
7 6
 
0.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1430
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 609
42.6%
2 290
20.3%
1 195
 
13.6%
- 195
 
13.6%
3 86
 
6.0%
8 20
 
1.4%
4 12
 
0.8%
9 7
 
0.5%
5 6
 
0.4%
7 6
 
0.4%

인허가일자
Date

Distinct63
Distinct (%)96.9%
Missing0
Missing (%)0.0%
Memory size652.0 B
Minimum2008-03-21 00:00:00
Maximum2024-01-11 00:00:00
2024-05-11T17:06:04.216703image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T17:06:04.375134image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing65
Missing (%)100.0%
Memory size717.0 B

영업상태코드
Categorical

Distinct2
Distinct (%)3.1%
Missing0
Missing (%)0.0%
Memory size652.0 B
3
43 
1
22 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
3 43
66.2%
1 22
33.8%

Length

2024-05-11T17:06:04.522677image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T17:06:04.641143image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 43
66.2%
1 22
33.8%

영업상태명
Categorical

Distinct2
Distinct (%)3.1%
Missing0
Missing (%)0.0%
Memory size652.0 B
폐업
43 
영업/정상
22 

Length

Max length5
Median length2
Mean length3.0153846
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 43
66.2%
영업/정상 22
33.8%

Length

2024-05-11T17:06:04.764445image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T17:06:04.874816image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 43
66.2%
영업/정상 22
33.8%

상세영업상태코드
Categorical

Distinct2
Distinct (%)3.1%
Missing0
Missing (%)0.0%
Memory size652.0 B
2
43 
1
22 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
2 43
66.2%
1 22
33.8%

Length

2024-05-11T17:06:04.973851image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T17:06:05.077205image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2 43
66.2%
1 22
33.8%

상세영업상태명
Categorical

Distinct2
Distinct (%)3.1%
Missing0
Missing (%)0.0%
Memory size652.0 B
폐업
43 
영업
22 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 43
66.2%
영업 22
33.8%

Length

2024-05-11T17:06:05.186535image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T17:06:05.283789image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 43
66.2%
영업 22
33.8%

폐업일자
Real number (ℝ)

MISSING 

Distinct37
Distinct (%)86.0%
Missing22
Missing (%)33.8%
Infinite0
Infinite (%)0.0%
Mean20159781
Minimum20091110
Maximum20230125
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size717.0 B
2024-05-11T17:06:05.391909image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20091110
5-th percentile20110413
Q120130904
median20160520
Q320180916
95-th percentile20221186
Maximum20230125
Range139015
Interquartile range (IQR)50012

Descriptive statistics

Standard deviation39062.117
Coefficient of variation (CV)0.001937626
Kurtosis-0.93496322
Mean20159781
Median Absolute Deviation (MAD)29614
Skewness0.28183526
Sum8.6687059 × 108
Variance1.525849 × 109
MonotonicityNot monotonic
2024-05-11T17:06:05.523674image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=37)
ValueCountFrequency (%)
20170928 5
 
7.7%
20131014 3
 
4.6%
20130219 1
 
1.5%
20180521 1
 
1.5%
20171010 1
 
1.5%
20230102 1
 
1.5%
20160520 1
 
1.5%
20141128 1
 
1.5%
20171114 1
 
1.5%
20230125 1
 
1.5%
Other values (27) 27
41.5%
(Missing) 22
33.8%
ValueCountFrequency (%)
20091110 1
1.5%
20101019 1
1.5%
20110413 1
1.5%
20110414 1
1.5%
20110718 1
1.5%
20111117 1
1.5%
20120113 1
1.5%
20120802 1
1.5%
20120914 1
1.5%
20130219 1
1.5%
ValueCountFrequency (%)
20230125 1
1.5%
20230102 1
1.5%
20221205 1
1.5%
20221018 1
1.5%
20220810 1
1.5%
20220502 1
1.5%
20220203 1
1.5%
20200327 1
1.5%
20200131 1
1.5%
20190507 1
1.5%

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing65
Missing (%)100.0%
Memory size717.0 B

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing65
Missing (%)100.0%
Memory size717.0 B

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing65
Missing (%)100.0%
Memory size717.0 B

전화번호
Text

MISSING 

Distinct30
Distinct (%)93.8%
Missing33
Missing (%)50.8%
Memory size652.0 B
2024-05-11T17:06:05.718469image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length11.59375
Min length10

Characters and Unicode

Total characters371
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

Unique28 ?
Unique (%)87.5%

Sample

1st row02 442 1816
2nd row02 573 7776
3rd row02 20574411
4th row02 578 0068
5th row02 34866004
ValueCountFrequency (%)
02 25
31.6%
0068 2
 
2.5%
573 2
 
2.5%
7776 2
 
2.5%
572 2
 
2.5%
578 2
 
2.5%
574 2
 
2.5%
6506 1
 
1.3%
64137175 1
 
1.3%
69491966 1
 
1.3%
Other values (39) 39
49.4%
2024-05-11T17:06:06.108450image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
70
18.9%
2 55
14.8%
0 51
13.7%
7 32
8.6%
5 30
8.1%
4 30
8.1%
8 27
 
7.3%
6 25
 
6.7%
3 24
 
6.5%
1 17
 
4.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 301
81.1%
Space Separator 70
 
18.9%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 55
18.3%
0 51
16.9%
7 32
10.6%
5 30
10.0%
4 30
10.0%
8 27
9.0%
6 25
8.3%
3 24
8.0%
1 17
 
5.6%
9 10
 
3.3%
Space Separator
ValueCountFrequency (%)
70
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 371
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
70
18.9%
2 55
14.8%
0 51
13.7%
7 32
8.6%
5 30
8.1%
4 30
8.1%
8 27
 
7.3%
6 25
 
6.7%
3 24
 
6.5%
1 17
 
4.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 371
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
70
18.9%
2 55
14.8%
0 51
13.7%
7 32
8.6%
5 30
8.1%
4 30
8.1%
8 27
 
7.3%
6 25
 
6.7%
3 24
 
6.5%
1 17
 
4.6%

소재지면적
Real number (ℝ)

ZEROS 

Distinct59
Distinct (%)90.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean93.978615
Minimum0
Maximum823.77
Zeros1
Zeros (%)1.5%
Negative0
Negative (%)0.0%
Memory size717.0 B
2024-05-11T17:06:06.267117image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile3.3
Q115.84
median49.45
Q3100
95-th percentile328.892
Maximum823.77
Range823.77
Interquartile range (IQR)84.16

Descriptive statistics

Standard deviation146.04899
Coefficient of variation (CV)1.5540662
Kurtosis11.881017
Mean93.978615
Median Absolute Deviation (MAD)35.92
Skewness3.2364051
Sum6108.61
Variance21330.307
MonotonicityNot monotonic
2024-05-11T17:06:06.414163image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
3.3 3
 
4.6%
8.04 2
 
3.1%
30.0 2
 
3.1%
33.0 2
 
3.1%
49.5 2
 
3.1%
125.4 1
 
1.5%
66.11 1
 
1.5%
6.6 1
 
1.5%
50.25 1
 
1.5%
20.3 1
 
1.5%
Other values (49) 49
75.4%
ValueCountFrequency (%)
0.0 1
 
1.5%
3.0 1
 
1.5%
3.3 3
4.6%
3.84 1
 
1.5%
4.0 1
 
1.5%
6.6 1
 
1.5%
8.04 2
3.1%
9.86 1
 
1.5%
10.15 1
 
1.5%
12.6 1
 
1.5%
ValueCountFrequency (%)
823.77 1
1.5%
600.0 1
1.5%
545.0 1
1.5%
330.0 1
1.5%
324.46 1
1.5%
215.0 1
1.5%
202.0 1
1.5%
198.0 1
1.5%
189.49 1
1.5%
170.0 1
1.5%

소재지우편번호
Text

Distinct42
Distinct (%)64.6%
Missing0
Missing (%)0.0%
Memory size652.0 B
2024-05-11T17:06:06.605127image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length6
Mean length6.2
Min length6

Characters and Unicode

Total characters403
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

Unique32 ?
Unique (%)49.2%

Sample

1st row137893
2nd row137893
3rd row137170
4th row137893
5th row137876
ValueCountFrequency (%)
137893 13
20.0%
137819 3
 
4.6%
137899 3
 
4.6%
137-901 2
 
3.1%
137170 2
 
3.1%
137862 2
 
3.1%
137895 2
 
3.1%
137902 2
 
3.1%
137842 2
 
3.1%
137953 2
 
3.1%
Other values (32) 32
49.2%
2024-05-11T17:06:06.936870image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3 88
21.8%
1 79
19.6%
7 75
18.6%
8 52
12.9%
9 45
11.2%
0 14
 
3.5%
- 13
 
3.2%
2 11
 
2.7%
4 10
 
2.5%
5 9
 
2.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 390
96.8%
Dash Punctuation 13
 
3.2%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
3 88
22.6%
1 79
20.3%
7 75
19.2%
8 52
13.3%
9 45
11.5%
0 14
 
3.6%
2 11
 
2.8%
4 10
 
2.6%
5 9
 
2.3%
6 7
 
1.8%
Dash Punctuation
ValueCountFrequency (%)
- 13
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 403
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
3 88
21.8%
1 79
19.6%
7 75
18.6%
8 52
12.9%
9 45
11.2%
0 14
 
3.5%
- 13
 
3.2%
2 11
 
2.7%
4 10
 
2.5%
5 9
 
2.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 403
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3 88
21.8%
1 79
19.6%
7 75
18.6%
8 52
12.9%
9 45
11.2%
0 14
 
3.5%
- 13
 
3.2%
2 11
 
2.7%
4 10
 
2.5%
5 9
 
2.2%

지번주소
Text

Distinct64
Distinct (%)98.5%
Missing0
Missing (%)0.0%
Memory size652.0 B
2024-05-11T17:06:07.226810image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length41
Median length32
Mean length27.169231
Min length17

Characters and Unicode

Total characters1766
Distinct characters94
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique63 ?
Unique (%)96.9%

Sample

1st row서울특별시 서초구 양재동 223 서울시양곡도매시장 301호
2nd row서울특별시 서초구 양재동 223 양곡도매시장 1층 039-1호
3rd row서울특별시 서초구 염곡동 107-5 (1층)
4th row서울특별시 서초구 양재동 222
5th row서울특별시 서초구 서초동 1589-14 신성빌딩 303호
ValueCountFrequency (%)
서울특별시 65
18.0%
서초구 65
18.0%
양재동 25
 
6.9%
1층 18
 
5.0%
방배동 16
 
4.4%
서초동 13
 
3.6%
223 12
 
3.3%
2층 8
 
2.2%
101호 4
 
1.1%
양곡도매시장 4
 
1.1%
Other values (114) 132
36.5%
2024-05-11T17:06:07.670571image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
333
18.9%
서 148
 
8.4%
1 103
 
5.8%
초 81
 
4.6%
시 77
 
4.4%
2 77
 
4.4%
울 66
 
3.7%
동 66
 
3.7%
특 65
 
3.7%
별 65
 
3.7%
Other values (84) 685
38.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 966
54.7%
Decimal Number 406
23.0%
Space Separator 333
 
18.9%
Dash Punctuation 52
 
2.9%
Open Punctuation 4
 
0.2%
Close Punctuation 4
 
0.2%
Uppercase Letter 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
서 148
15.3%
초 81
 
8.4%
시 77
 
8.0%
울 66
 
6.8%
동 66
 
6.8%
특 65
 
6.7%
별 65
 
6.7%
구 65
 
6.7%
층 42
 
4.3%
양 35
 
3.6%
Other values (69) 256
26.5%
Decimal Number
ValueCountFrequency (%)
1 103
25.4%
2 77
19.0%
3 47
11.6%
0 37
 
9.1%
7 31
 
7.6%
5 28
 
6.9%
4 24
 
5.9%
8 24
 
5.9%
9 20
 
4.9%
6 15
 
3.7%
Space Separator
ValueCountFrequency (%)
333
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 52
100.0%
Open Punctuation
ValueCountFrequency (%)
( 4
100.0%
Close Punctuation
ValueCountFrequency (%)
) 4
100.0%
Uppercase Letter
ValueCountFrequency (%)
B 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 966
54.7%
Common 799
45.2%
Latin 1
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
서 148
15.3%
초 81
 
8.4%
시 77
 
8.0%
울 66
 
6.8%
동 66
 
6.8%
특 65
 
6.7%
별 65
 
6.7%
구 65
 
6.7%
층 42
 
4.3%
양 35
 
3.6%
Other values (69) 256
26.5%
Common
ValueCountFrequency (%)
333
41.7%
1 103
 
12.9%
2 77
 
9.6%
- 52
 
6.5%
3 47
 
5.9%
0 37
 
4.6%
7 31
 
3.9%
5 28
 
3.5%
4 24
 
3.0%
8 24
 
3.0%
Other values (4) 43
 
5.4%
Latin
ValueCountFrequency (%)
B 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 966
54.7%
ASCII 800
45.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
333
41.6%
1 103
 
12.9%
2 77
 
9.6%
- 52
 
6.5%
3 47
 
5.9%
0 37
 
4.6%
7 31
 
3.9%
5 28
 
3.5%
4 24
 
3.0%
8 24
 
3.0%
Other values (5) 44
 
5.5%
Hangul
ValueCountFrequency (%)
서 148
15.3%
초 81
 
8.4%
시 77
 
8.0%
울 66
 
6.8%
동 66
 
6.8%
특 65
 
6.7%
별 65
 
6.7%
구 65
 
6.7%
층 42
 
4.3%
양 35
 
3.6%
Other values (69) 256
26.5%

도로명주소
Text

MISSING 

Distinct56
Distinct (%)100.0%
Missing9
Missing (%)13.8%
Memory size652.0 B
2024-05-11T17:06:07.978569image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length52
Median length39
Mean length34.410714
Min length22

Characters and Unicode

Total characters1927
Distinct characters118
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

Unique56 ?
Unique (%)100.0%

Sample

1st row서울특별시 서초구 양재대로12길 36 (양재동,서울시양곡도매시장 301호)
2nd row서울특별시 서초구 양재대로12길 36, 양곡도매시장 1층 039-1호 (양재동)
3rd row서울특별시 서초구 양재대로12길 18 (양재동)
4th row서울특별시 서초구 효령로53길 21 (서초동,신성빌딩 303호)
5th row서울특별시 서초구 반포대로 22, 서초평화빌딩 12층 (서초동)
ValueCountFrequency (%)
서울특별시 56
 
14.9%
서초구 56
 
14.9%
양재동 19
 
5.1%
1층 15
 
4.0%
방배동 15
 
4.0%
36 12
 
3.2%
양재대로12길 12
 
3.2%
2층 11
 
2.9%
서초동 9
 
2.4%
101호 6
 
1.6%
Other values (136) 164
43.7%
2024-05-11T17:06:08.438006image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
319
 
16.6%
서 134
 
7.0%
1 92
 
4.8%
초 74
 
3.8%
시 68
 
3.5%
, 64
 
3.3%
2 64
 
3.3%
동 59
 
3.1%
( 58
 
3.0%
) 58
 
3.0%
Other values (108) 937
48.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1100
57.1%
Space Separator 319
 
16.6%
Decimal Number 317
 
16.5%
Other Punctuation 64
 
3.3%
Open Punctuation 58
 
3.0%
Close Punctuation 58
 
3.0%
Dash Punctuation 9
 
0.5%
Uppercase Letter 2
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
서 134
 
12.2%
초 74
 
6.7%
시 68
 
6.2%
동 59
 
5.4%
울 57
 
5.2%
별 56
 
5.1%
특 56
 
5.1%
구 56
 
5.1%
로 52
 
4.7%
양 45
 
4.1%
Other values (92) 443
40.3%
Decimal Number
ValueCountFrequency (%)
1 92
29.0%
2 64
20.2%
3 37
11.7%
6 30
 
9.5%
0 29
 
9.1%
5 19
 
6.0%
8 14
 
4.4%
4 12
 
3.8%
7 11
 
3.5%
9 9
 
2.8%
Space Separator
ValueCountFrequency (%)
319
100.0%
Other Punctuation
ValueCountFrequency (%)
, 64
100.0%
Open Punctuation
ValueCountFrequency (%)
( 58
100.0%
Close Punctuation
ValueCountFrequency (%)
) 58
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 9
100.0%
Uppercase Letter
ValueCountFrequency (%)
B 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1100
57.1%
Common 825
42.8%
Latin 2
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
서 134
 
12.2%
초 74
 
6.7%
시 68
 
6.2%
동 59
 
5.4%
울 57
 
5.2%
별 56
 
5.1%
특 56
 
5.1%
구 56
 
5.1%
로 52
 
4.7%
양 45
 
4.1%
Other values (92) 443
40.3%
Common
ValueCountFrequency (%)
319
38.7%
1 92
 
11.2%
, 64
 
7.8%
2 64
 
7.8%
( 58
 
7.0%
) 58
 
7.0%
3 37
 
4.5%
6 30
 
3.6%
0 29
 
3.5%
5 19
 
2.3%
Other values (5) 55
 
6.7%
Latin
ValueCountFrequency (%)
B 2
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1100
57.1%
ASCII 827
42.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
319
38.6%
1 92
 
11.1%
, 64
 
7.7%
2 64
 
7.7%
( 58
 
7.0%
) 58
 
7.0%
3 37
 
4.5%
6 30
 
3.6%
0 29
 
3.5%
5 19
 
2.3%
Other values (6) 57
 
6.9%
Hangul
ValueCountFrequency (%)
서 134
 
12.2%
초 74
 
6.7%
시 68
 
6.2%
동 59
 
5.4%
울 57
 
5.2%
별 56
 
5.1%
특 56
 
5.1%
구 56
 
5.1%
로 52
 
4.7%
양 45
 
4.1%
Other values (92) 443
40.3%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct37
Distinct (%)66.1%
Missing9
Missing (%)13.8%
Infinite0
Infinite (%)0.0%
Mean6714.1071
Minimum6525
Maximum6804
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size717.0 B
2024-05-11T17:06:08.575915image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum6525
5-th percentile6540.25
Q16663.75
median6724
Q36787.25
95-th percentile6804
Maximum6804
Range279
Interquartile range (IQR)123.5

Descriptive statistics

Standard deviation85.298125
Coefficient of variation (CV)0.012704314
Kurtosis-0.36603872
Mean6714.1071
Median Absolute Deviation (MAD)61.5
Skewness-0.79179135
Sum375990
Variance7275.7701
MonotonicityNot monotonic
2024-05-11T17:06:08.704995image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=37)
ValueCountFrequency (%)
6804 12
18.5%
6716 3
 
4.6%
6704 2
 
3.1%
6654 2
 
3.1%
6766 2
 
3.1%
6775 2
 
3.1%
6732 2
 
3.1%
6783 2
 
3.1%
6543 1
 
1.5%
6532 1
 
1.5%
Other values (27) 27
41.5%
(Missing) 9
 
13.8%
ValueCountFrequency (%)
6525 1
1.5%
6527 1
1.5%
6532 1
1.5%
6543 1
1.5%
6559 1
1.5%
6564 1
1.5%
6572 1
1.5%
6603 1
1.5%
6609 1
1.5%
6650 1
1.5%
ValueCountFrequency (%)
6804 12
18.5%
6793 1
 
1.5%
6791 1
 
1.5%
6786 1
 
1.5%
6783 2
 
3.1%
6782 1
 
1.5%
6775 2
 
3.1%
6771 1
 
1.5%
6770 1
 
1.5%
6766 2
 
3.1%

사업장명
Text

Distinct63
Distinct (%)96.9%
Missing0
Missing (%)0.0%
Memory size652.0 B
2024-05-11T17:06:08.974797image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length23
Median length14
Mean length7.6769231
Min length3

Characters and Unicode

Total characters499
Distinct characters154
Distinct categories6 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique61 ?
Unique (%)93.8%

Sample

1st row(주)토지양재지점
2nd row샛강유통
3rd row(주)서부식자재물류시스템
4th row농협중앙회 양곡유통센터
5th row(주)씨에스푸드시스템
ValueCountFrequency (%)
주식회사 12
 
14.0%
서초강남키즈 2
 
2.3%
아이밀 2
 
2.3%
창대유통 2
 
2.3%
밥상 1
 
1.2%
알루마켓 1
 
1.2%
주)펭귄에프앤디 1
 
1.2%
용산키즈 1
 
1.2%
푸드와이즈 1
 
1.2%
우정농산 1
 
1.2%
Other values (62) 62
72.1%
2024-05-11T17:06:09.411629image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 31
 
6.2%
21
 
4.2%
) 20
 
4.0%
( 20
 
4.0%
식 19
 
3.8%
사 16
 
3.2%
회 15
 
3.0%
드 14
 
2.8%
이 14
 
2.8%
푸 14
 
2.8%
Other values (144) 315
63.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 428
85.8%
Space Separator 21
 
4.2%
Close Punctuation 20
 
4.0%
Open Punctuation 20
 
4.0%
Lowercase Letter 6
 
1.2%
Uppercase Letter 4
 
0.8%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 31
 
7.2%
식 19
 
4.4%
사 16
 
3.7%
회 15
 
3.5%
드 14
 
3.3%
이 14
 
3.3%
푸 14
 
3.3%
스 13
 
3.0%
에 12
 
2.8%
통 11
 
2.6%
Other values (131) 269
62.9%
Lowercase Letter
ValueCountFrequency (%)
u 1
16.7%
h 1
16.7%
t 1
16.7%
i 1
16.7%
w 1
16.7%
s 1
16.7%
Uppercase Letter
ValueCountFrequency (%)
K 1
25.0%
C 1
25.0%
P 1
25.0%
S 1
25.0%
Space Separator
ValueCountFrequency (%)
21
100.0%
Close Punctuation
ValueCountFrequency (%)
) 20
100.0%
Open Punctuation
ValueCountFrequency (%)
( 20
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 428
85.8%
Common 61
 
12.2%
Latin 10
 
2.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 31
 
7.2%
식 19
 
4.4%
사 16
 
3.7%
회 15
 
3.5%
드 14
 
3.3%
이 14
 
3.3%
푸 14
 
3.3%
스 13
 
3.0%
에 12
 
2.8%
통 11
 
2.6%
Other values (131) 269
62.9%
Latin
ValueCountFrequency (%)
K 1
10.0%
u 1
10.0%
h 1
10.0%
t 1
10.0%
i 1
10.0%
w 1
10.0%
C 1
10.0%
P 1
10.0%
S 1
10.0%
s 1
10.0%
Common
ValueCountFrequency (%)
21
34.4%
) 20
32.8%
( 20
32.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 428
85.8%
ASCII 71
 
14.2%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 31
 
7.2%
식 19
 
4.4%
사 16
 
3.7%
회 15
 
3.5%
드 14
 
3.3%
이 14
 
3.3%
푸 14
 
3.3%
스 13
 
3.0%
에 12
 
2.8%
통 11
 
2.6%
Other values (131) 269
62.9%
ASCII
ValueCountFrequency (%)
21
29.6%
) 20
28.2%
( 20
28.2%
K 1
 
1.4%
u 1
 
1.4%
h 1
 
1.4%
t 1
 
1.4%
i 1
 
1.4%
w 1
 
1.4%
C 1
 
1.4%
Other values (3) 3
 
4.2%

최종수정일자
Date

UNIQUE 

Distinct65
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size652.0 B
Minimum2008-08-20 13:24:49
Maximum2024-01-11 12:21:38
2024-05-11T17:06:09.549489image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T17:06:09.680434image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

데이터갱신구분
Categorical

Distinct2
Distinct (%)3.1%
Missing0
Missing (%)0.0%
Memory size652.0 B
I
44 
U
21 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
I 44
67.7%
U 21
32.3%

Length

2024-05-11T17:06:09.804884image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T17:06:09.897213image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 44
67.7%
u 21
32.3%

데이터갱신일자
Date

Distinct30
Distinct (%)46.2%
Missing0
Missing (%)0.0%
Memory size652.0 B
Minimum2018-08-31 23:59:59
Maximum2023-11-30 23:03:00
2024-05-11T17:06:09.993237image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T17:06:10.111915image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)

업태구분명
Categorical

CONSTANT 

Distinct1
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Memory size652.0 B
집단급식소 식품판매업
65 

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 65
100.0%

Length

2024-05-11T17:06:10.237423image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T17:06:10.348444image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
집단급식소 65
50.0%
식품판매업 65
50.0%

좌표정보(X)
Real number (ℝ)

Distinct47
Distinct (%)72.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean201869.84
Minimum198492.8
Maximum205637.42
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size717.0 B
2024-05-11T17:06:10.490208image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum198492.8
5-th percentile198732.64
Q1200483.13
median201856.63
Q3203171.97
95-th percentile204468.48
Maximum205637.42
Range7144.6193
Interquartile range (IQR)2688.8489

Descriptive statistics

Standard deviation1906.5462
Coefficient of variation (CV)0.0094444334
Kurtosis-1.018195
Mean201869.84
Median Absolute Deviation (MAD)1315.3494
Skewness-0.25416595
Sum13121539
Variance3634918.5
MonotonicityNot monotonic
2024-05-11T17:06:10.631187image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=47)
ValueCountFrequency (%)
203171.974508939 12
 
18.5%
204523.127887322 2
 
3.1%
201055.049081675 2
 
3.1%
200932.515123452 2
 
3.1%
202481.661169413 2
 
3.1%
201408.251599552 2
 
3.1%
204132.69760486 2
 
3.1%
204098.815 2
 
3.1%
202976.01119398 1
 
1.5%
201643.318591414 1
 
1.5%
Other values (37) 37
56.9%
ValueCountFrequency (%)
198492.797210723 1
1.5%
198505.744662737 1
1.5%
198623.600100283 1
1.5%
198716.117598179 1
1.5%
198798.718883674 1
1.5%
198824.369992673 1
1.5%
198832.265311216 1
1.5%
199012.471433694 1
1.5%
199197.79507181 1
1.5%
199203.217542184 1
1.5%
ValueCountFrequency (%)
205637.416515598 1
1.5%
204970.9477582 1
1.5%
204523.127887322 2
3.1%
204249.890471433 1
1.5%
204132.69760486 2
3.1%
204098.815 2
3.1%
203825.862435034 1
1.5%
203795.214997261 1
1.5%
203762.112124282 1
1.5%
203504.756909536 1
1.5%

좌표정보(Y)
Real number (ℝ)

Distinct47
Distinct (%)72.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean441714.87
Minimum438959.39
Maximum445912.75
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size717.0 B
2024-05-11T17:06:10.772400image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum438959.39
5-th percentile439613.12
Q1439715.76
median441911.44
Q3442619.92
95-th percentile445229.54
Maximum445912.75
Range6953.3635
Interquartile range (IQR)2904.1563

Descriptive statistics

Standard deviation1781.9841
Coefficient of variation (CV)0.0040342408
Kurtosis-0.23343193
Mean441714.87
Median Absolute Deviation (MAD)1125.9822
Skewness0.48284793
Sum28711466
Variance3175467.5
MonotonicityNot monotonic
2024-05-11T17:06:11.916700image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=47)
ValueCountFrequency (%)
439620.265870293 12
 
18.5%
440025.258933437 2
 
3.1%
442298.468220422 2
 
3.1%
439611.330612069 2
 
3.1%
442563.269271521 2
 
3.1%
445912.753033864 2
 
3.1%
441117.848492474 2
 
3.1%
441335.22 2
 
3.1%
440303.490253141 1
 
1.5%
443772.466475611 1
 
1.5%
Other values (37) 37
56.9%
ValueCountFrequency (%)
438959.389543484 1
 
1.5%
439291.776424486 1
 
1.5%
439611.330612069 2
 
3.1%
439620.265870293 12
18.5%
439715.760765925 1
 
1.5%
440025.258933437 2
 
3.1%
440215.751657504 1
 
1.5%
440303.490253141 1
 
1.5%
440785.456666923 1
 
1.5%
440954.10168633 1
 
1.5%
ValueCountFrequency (%)
445912.753033864 2
3.1%
445881.581774331 1
1.5%
445390.780583239 1
1.5%
444584.589362916 1
1.5%
444502.636699224 1
1.5%
443772.466475611 1
1.5%
443716.344781328 1
1.5%
443634.893159712 1
1.5%
443505.294496136 1
1.5%
443111.971545521 1
1.5%

위생업태명
Categorical

Distinct2
Distinct (%)3.1%
Missing0
Missing (%)0.0%
Memory size652.0 B
집단급식소 식품판매업
46 
<NA>
19 

Length

Max length11
Median length11
Mean length8.9538462
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 46
70.8%
<NA> 19
29.2%

Length

2024-05-11T17:06:12.071935image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T17:06:12.182616image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
집단급식소 46
41.4%
식품판매업 46
41.4%
na 19
17.1%

남성종사자수
Categorical

IMBALANCE 

Distinct2
Distinct (%)3.1%
Missing0
Missing (%)0.0%
Memory size652.0 B
<NA>
63 
0
 
2

Length

Max length4
Median length4
Mean length3.9076923
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> 63
96.9%
0 2
 
3.1%

Length

2024-05-11T17:06:12.305207image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T17:06:12.411730image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 63
96.9%
0 2
 
3.1%

여성종사자수
Categorical

IMBALANCE 

Distinct2
Distinct (%)3.1%
Missing0
Missing (%)0.0%
Memory size652.0 B
<NA>
63 
0
 
2

Length

Max length4
Median length4
Mean length3.9076923
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> 63
96.9%
0 2
 
3.1%

Length

2024-05-11T17:06:12.523126image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T17:06:12.620547image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 63
96.9%
0 2
 
3.1%

영업장주변구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing65
Missing (%)100.0%
Memory size717.0 B

등급구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing65
Missing (%)100.0%
Memory size717.0 B

급수시설구분명
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)50.0%
Missing63
Missing (%)96.9%
Memory size652.0 B
2024-05-11T17:06:12.716473image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length5
Median length5
Mean length5
Min length5

Characters and Unicode

Total characters10
Distinct characters5
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row상수도전용
2nd row상수도전용
ValueCountFrequency (%)
상수도전용 2
100.0%
2024-05-11T17:06:12.951844image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
상 2
20.0%
수 2
20.0%
도 2
20.0%
전 2
20.0%
용 2
20.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 10
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
상 2
20.0%
수 2
20.0%
도 2
20.0%
전 2
20.0%
용 2
20.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 10
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
상 2
20.0%
수 2
20.0%
도 2
20.0%
전 2
20.0%
용 2
20.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 10
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
상 2
20.0%
수 2
20.0%
도 2
20.0%
전 2
20.0%
용 2
20.0%

총인원
Categorical

IMBALANCE 

Distinct2
Distinct (%)3.1%
Missing0
Missing (%)0.0%
Memory size652.0 B
<NA>
63 
0
 
2

Length

Max length4
Median length4
Mean length3.9076923
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> 63
96.9%
0 2
 
3.1%

Length

2024-05-11T17:06:13.079993image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T17:06:13.212825image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 63
96.9%
0 2
 
3.1%

본사종업원수
Categorical

Distinct2
Distinct (%)3.1%
Missing0
Missing (%)0.0%
Memory size652.0 B
<NA>
56 
0
9 

Length

Max length4
Median length4
Mean length3.5846154
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 56
86.2%
0 9
 
13.8%

Length

2024-05-11T17:06:13.324051image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T17:06:13.418464image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 56
86.2%
0 9
 
13.8%

공장사무직종업원수
Categorical

Distinct2
Distinct (%)3.1%
Missing0
Missing (%)0.0%
Memory size652.0 B
<NA>
56 
0
9 

Length

Max length4
Median length4
Mean length3.5846154
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 56
86.2%
0 9
 
13.8%

Length

2024-05-11T17:06:13.535512image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T17:06:13.656533image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 56
86.2%
0 9
 
13.8%

공장판매직종업원수
Categorical

Distinct2
Distinct (%)3.1%
Missing0
Missing (%)0.0%
Memory size652.0 B
<NA>
56 
0
9 

Length

Max length4
Median length4
Mean length3.5846154
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 56
86.2%
0 9
 
13.8%

Length

2024-05-11T17:06:13.775968image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T17:06:13.892951image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 56
86.2%
0 9
 
13.8%

공장생산직종업원수
Categorical

Distinct2
Distinct (%)3.1%
Missing0
Missing (%)0.0%
Memory size652.0 B
<NA>
56 
0
9 

Length

Max length4
Median length4
Mean length3.5846154
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 56
86.2%
0 9
 
13.8%

Length

2024-05-11T17:06:13.996933image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T17:06:14.107842image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 56
86.2%
0 9
 
13.8%

건물소유구분명
Categorical

Distinct3
Distinct (%)4.6%
Missing0
Missing (%)0.0%
Memory size652.0 B
임대
32 
<NA>
28 
자가
5 

Length

Max length4
Median length2
Mean length2.8615385
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
임대 32
49.2%
<NA> 28
43.1%
자가 5
 
7.7%

Length

2024-05-11T17:06:14.227821image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T17:06:14.338125image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
임대 32
49.2%
na 28
43.1%
자가 5
 
7.7%

보증액
Categorical

IMBALANCE 

Distinct3
Distinct (%)4.6%
Missing0
Missing (%)0.0%
Memory size652.0 B
<NA>
62 
0
 
2
20000000
 
1

Length

Max length8
Median length4
Mean length3.9692308
Min length1

Unique

Unique1 ?
Unique (%)1.5%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 62
95.4%
0 2
 
3.1%
20000000 1
 
1.5%

Length

2024-05-11T17:06:14.451249image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T17:06:14.557929image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 62
95.4%
0 2
 
3.1%
20000000 1
 
1.5%

월세액
Categorical

IMBALANCE 

Distinct3
Distinct (%)4.6%
Missing0
Missing (%)0.0%
Memory size652.0 B
<NA>
62 
0
 
2
1750000
 
1

Length

Max length7
Median length4
Mean length3.9538462
Min length1

Unique

Unique1 ?
Unique (%)1.5%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 62
95.4%
0 2
 
3.1%
1750000 1
 
1.5%

Length

2024-05-11T17:06:14.703429image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T17:06:14.814331image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 62
95.4%
0 2
 
3.1%
1750000 1
 
1.5%

다중이용업소여부
Boolean

CONSTANT  MISSING 

Distinct1
Distinct (%)2.2%
Missing19
Missing (%)29.2%
Memory size262.0 B
False
46 
(Missing)
19 
ValueCountFrequency (%)
False 46
70.8%
(Missing) 19
29.2%
2024-05-11T17:06:14.899419image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

시설총규모
Real number (ℝ)

MISSING  ZEROS 

Distinct13
Distinct (%)28.3%
Missing19
Missing (%)29.2%
Infinite0
Infinite (%)0.0%
Mean15.472609
Minimum0
Maximum215
Zeros34
Zeros (%)52.3%
Negative0
Negative (%)0.0%
Memory size717.0 B
2024-05-11T17:06:14.988927image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q32.475
95-th percentile80.5275
Maximum215
Range215
Interquartile range (IQR)2.475

Descriptive statistics

Standard deviation40.374719
Coefficient of variation (CV)2.6094319
Kurtosis14.091611
Mean15.472609
Median Absolute Deviation (MAD)0
Skewness3.5460902
Sum711.74
Variance1630.1179
MonotonicityNot monotonic
2024-05-11T17:06:15.117610image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%)
0.0 34
52.3%
31.83 1
 
1.5%
132.23 1
 
1.5%
66.0 1
 
1.5%
49.5 1
 
1.5%
65.0 1
 
1.5%
85.37 1
 
1.5%
8.04 1
 
1.5%
215.0 1
 
1.5%
3.3 1
 
1.5%
Other values (3) 3
 
4.6%
(Missing) 19
29.2%
ValueCountFrequency (%)
0.0 34
52.3%
3.3 1
 
1.5%
8.04 1
 
1.5%
10.0 1
 
1.5%
15.11 1
 
1.5%
30.36 1
 
1.5%
31.83 1
 
1.5%
49.5 1
 
1.5%
65.0 1
 
1.5%
66.0 1
 
1.5%
ValueCountFrequency (%)
215.0 1
1.5%
132.23 1
1.5%
85.37 1
1.5%
66.0 1
1.5%
65.0 1
1.5%
49.5 1
1.5%
31.83 1
1.5%
30.36 1
1.5%
15.11 1
1.5%
10.0 1
1.5%

전통업소지정번호
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing65
Missing (%)100.0%
Memory size717.0 B

전통업소주된음식
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing65
Missing (%)100.0%
Memory size717.0 B

홈페이지
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing65
Missing (%)100.0%
Memory size717.0 B

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)위생업태명남성종사자수여성종사자수영업장주변구분명등급구분명급수시설구분명총인원본사종업원수공장사무직종업원수공장판매직종업원수공장생산직종업원수건물소유구분명보증액월세액다중이용업소여부시설총규모전통업소지정번호전통업소주된음식홈페이지
032100003210000-122-2008-0000120080321<NA>3폐업2폐업20140312<NA><NA><NA>02 442 1816189.49137893서울특별시 서초구 양재동 223 서울시양곡도매시장 301호서울특별시 서초구 양재대로12길 36 (양재동,서울시양곡도매시장 301호)6804(주)토지양재지점2009-07-15 11:31:01I2018-08-31 23:59:59.0집단급식소 식품판매업203171.974509439620.26587집단급식소 식품판매업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>임대<NA><NA>N0.0<NA><NA><NA>
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232100003210000-122-2008-0000320080404<NA>3폐업2폐업20120113<NA><NA><NA>02 205744113.84137170서울특별시 서초구 염곡동 107-5 (1층)<NA><NA>(주)서부식자재물류시스템2009-08-18 12:56:10I2018-08-31 23:59:59.0집단급식소 식품판매업204523.127887440025.258933집단급식소 식품판매업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>자가<NA><NA>N0.0<NA><NA><NA>
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532100003210000-122-2008-000062008-07-28<NA>1영업/정상1영업<NA><NA><NA><NA>02 2258 8533600.0137-927서울특별시 서초구 서초동 1451-34 서초평화빌딩 12층서울특별시 서초구 반포대로 22, 서초평화빌딩 12층 (서초동)6716(주)미셸푸드2023-03-16 11:34:14U2022-12-02 23:08:00.0집단급식소 식품판매업201055.049082442298.46822<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
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832100003210000-122-2008-0000920080826<NA>3폐업2폐업20140530<NA><NA><NA><NA>132.23137850서울특별시 서초구 방배동 1002-13 1층서울특별시 서초구 명달로 21, 1층 (방배동)6707무지개식품2014-05-30 14:01:21I2018-08-31 23:59:59.0집단급식소 식품판매업200441.352553441911.438911집단급식소 식품판매업<NA><NA><NA><NA><NA><NA>0000임대<NA><NA>N132.23<NA><NA><NA>
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개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)위생업태명남성종사자수여성종사자수영업장주변구분명등급구분명급수시설구분명총인원본사종업원수공장사무직종업원수공장판매직종업원수공장생산직종업원수건물소유구분명보증액월세액다중이용업소여부시설총규모전통업소지정번호전통업소주된음식홈페이지
5532100003210000-122-2020-0000120200129<NA>1영업/정상1영업<NA><NA><NA><NA><NA>80.0137899서울특별시 서초구 양재동 397 삼진빌딩서울특별시 서초구 논현로7길 35, 삼진빌딩 1층 101호 (양재동)6783농업회사법인강남푸드 주식회사2020-01-29 11:36:40I2020-01-31 00:23:24.0집단급식소 식품판매업204132.697605441117.848492집단급식소 식품판매업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>임대<NA><NA>N0.0<NA><NA><NA>
5632100003210000-122-2020-0000220200605<NA>3폐업2폐업20221018<NA><NA><NA>02340102263.0137837서울특별시 서초구 방배동 853-23 승인빌딩 2층서울특별시 서초구 방배로25길 20, 승인빌딩 2층 (방배동)6572우리들 주식회사2022-10-18 16:08:38U2021-10-30 22:00:00.0집단급식소 식품판매업199197.795072442929.854462<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
5732100003210000-122-2020-000032020-03-20<NA>1영업/정상1영업<NA><NA><NA><NA><NA>46.2137-820서울특별시 서초구 방배동 478-12 1층 101호서울특별시 서초구 남부순환로287길 19, 1층 101호 (방배동)6698브리다빗2023-06-05 14:37:18I2022-12-06 00:08:00.0집단급식소 식품판매업198832.265311441588.757317<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
5832100003210000-122-2021-0000120210617<NA>3폐업2폐업20220502<NA><NA><NA>02 69491966100.0137842서울특별시 서초구 방배동 909-7 2층서울특별시 서초구 효령로31길 6, 2층 (방배동)6686주식회사 슬기로운사람들2022-05-02 16:50:54U2021-12-05 00:04:00.0집단급식소 식품판매업199653.141485442156.659712<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
5932100003210000-122-2022-000012022-10-14<NA>1영업/정상1영업<NA><NA><NA><NA><NA>27.3137-888서울특별시 서초구 양재동 18-7 지하1층 101호서울특별시 서초구 강남대로30길 58, 지하1층 101호 (양재동)6745초록목장2023-12-21 14:15:49U2022-11-01 22:03:00.0집단급식소 식품판매업203504.75691442255.928456<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
6032100003210000-122-2023-000012023-01-31<NA>1영업/정상1영업<NA><NA><NA><NA><NA>49.45137-829서울특별시 서초구 방배동 781-2서울특별시 서초구 동광로1길 42, 1층 (방배동)6559모양방시스템2023-01-31 13:19:45I2022-12-02 00:02:00.0집단급식소 식품판매업198505.744663443505.294496<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
6132100003210000-122-2023-000022023-08-09<NA>1영업/정상1영업<NA><NA><NA><NA><NA>3.3137-849서울특별시 서초구 방배동 983-42 광찬빌딩서울특별시 서초구 방배로 60, 광찬빌딩 3층 302호 (방배동)6704위더스(with us)푸드2023-08-09 17:49:56I2022-12-07 23:01:00.0집단급식소 식품판매업199830.003088441996.985239<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
6232100003210000-122-2023-000032023-12-27<NA>1영업/정상1영업<NA><NA><NA><NA><NA>3.3137-874서울특별시 서초구 서초동 1567-8 현빌딩 4층 4260호서울특별시 서초구 서초대로46길 99, 현빌딩 4층 4260호 (서초동)6650동원이팜 서초강남2023-12-27 15:37:54I2022-11-01 22:09:00.0집단급식소 식품판매업201122.363486443111.971546<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
6332100003210000-122-2024-000012024-01-08<NA>1영업/정상1영업<NA><NA><NA><NA>02 587 5631202.0137-867서울특별시 서초구 서초동 1459-11 2층서울특별시 서초구 반포대로10길 7, 2층 (서초동)6716에스비트레이드 주식회사2024-01-08 15:18:43I2023-11-30 23:00:00.0집단급식소 식품판매업201013.146941442397.772337<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
6432100003210000-122-2024-000022024-01-11<NA>1영업/정상1영업<NA><NA><NA><NA>023477955033.0137-901서울특별시 서초구 우면동 604-1 1층서울특별시 서초구 식유촌길 79, 1층 (우면동)6766서초강남키즈2024-01-11 12:21:38I2023-11-30 23:03:00.0집단급식소 식품판매업200932.515123439611.330612<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>