Overview

Dataset statistics

Number of variables44
Number of observations161
Missing cells1702
Missing cells (%)24.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory59.6 KiB
Average record size in memory378.8 B

Variable types

Categorical19
Text6
DateTime4
Unsupported9
Numeric5
Boolean1

Dataset

Description개방자치단체코드,관리번호,인허가일자,인허가취소일자,영업상태코드,영업상태명,상세영업상태코드,상세영업상태명,폐업일자,휴업시작일자,휴업종료일자,재개업일자,전화번호,소재지면적,소재지우편번호,지번주소,도로명주소,도로명우편번호,사업장명,최종수정일자,데이터갱신구분,데이터갱신일자,업태구분명,좌표정보(X),좌표정보(Y),위생업태명,남성종사자수,여성종사자수,영업장주변구분명,등급구분명,급수시설구분명,총인원,본사종업원수,공장사무직종업원수,공장판매직종업원수,공장생산직종업원수,건물소유구분명,보증액,월세액,다중이용업소여부,시설총규모,전통업소지정번호,전통업소주된음식,홈페이지
Author강동구
URLhttps://data.seoul.go.kr/dataList/OA-18051/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
업태구분명 has constant value ""Constant
다중이용업소여부 has constant value ""Constant
남성종사자수 is highly imbalanced (71.5%)Imbalance
여성종사자수 is highly imbalanced (71.5%)Imbalance
급수시설구분명 is highly imbalanced (64.0%)Imbalance
총인원 is highly imbalanced (71.5%)Imbalance
보증액 is highly imbalanced (71.5%)Imbalance
월세액 is highly imbalanced (71.5%)Imbalance
인허가취소일자 has 161 (100.0%) missing valuesMissing
폐업일자 has 46 (28.6%) missing valuesMissing
휴업시작일자 has 161 (100.0%) missing valuesMissing
휴업종료일자 has 161 (100.0%) missing valuesMissing
재개업일자 has 161 (100.0%) missing valuesMissing
전화번호 has 86 (53.4%) missing valuesMissing
도로명주소 has 27 (16.8%) missing valuesMissing
도로명우편번호 has 29 (18.0%) missing valuesMissing
영업장주변구분명 has 161 (100.0%) missing valuesMissing
등급구분명 has 161 (100.0%) missing valuesMissing
다중이용업소여부 has 31 (19.3%) missing valuesMissing
시설총규모 has 31 (19.3%) missing valuesMissing
전통업소지정번호 has 161 (100.0%) missing valuesMissing
전통업소주된음식 has 161 (100.0%) missing valuesMissing
홈페이지 has 161 (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
시설총규모 has 60 (37.3%) zerosZeros

Reproduction

Analysis started2024-04-29 19:34:44.508484
Analysis finished2024-04-29 19:34:45.383758
Duration0.88 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
3240000
161 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3240000
2nd row3240000
3rd row3240000
4th row3240000
5th row3240000

Common Values

ValueCountFrequency (%)
3240000 161
100.0%

Length

2024-04-30T04:34:45.451748image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:34:45.550874image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3240000 161
100.0%

관리번호
Text

UNIQUE 

Distinct161
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
2024-04-30T04:34:45.702817image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length22
Median length22
Mean length22
Min length22

Characters and Unicode

Total characters3542
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

Unique161 ?
Unique (%)100.0%

Sample

1st row3240000-122-2008-00001
2nd row3240000-122-2008-00002
3rd row3240000-122-2008-00003
4th row3240000-122-2008-00004
5th row3240000-122-2008-00005
ValueCountFrequency (%)
3240000-122-2008-00001 1
 
0.6%
3240000-122-2014-00002 1
 
0.6%
3240000-122-2016-00004 1
 
0.6%
3240000-122-2015-00015 1
 
0.6%
3240000-122-2015-00016 1
 
0.6%
3240000-122-2015-00017 1
 
0.6%
3240000-122-2015-00018 1
 
0.6%
3240000-122-2016-00001 1
 
0.6%
3240000-122-2016-00002 1
 
0.6%
3240000-122-2016-00003 1
 
0.6%
Other values (151) 151
93.8%
2024-04-30T04:34:45.998094image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 1456
41.1%
2 720
20.3%
- 483
 
13.6%
1 358
 
10.1%
3 194
 
5.5%
4 192
 
5.4%
5 36
 
1.0%
8 32
 
0.9%
6 25
 
0.7%
7 23
 
0.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 3059
86.4%
Dash Punctuation 483
 
13.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 1456
47.6%
2 720
23.5%
1 358
 
11.7%
3 194
 
6.3%
4 192
 
6.3%
5 36
 
1.2%
8 32
 
1.0%
6 25
 
0.8%
7 23
 
0.8%
9 23
 
0.8%
Dash Punctuation
ValueCountFrequency (%)
- 483
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 3542
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 1456
41.1%
2 720
20.3%
- 483
 
13.6%
1 358
 
10.1%
3 194
 
5.5%
4 192
 
5.4%
5 36
 
1.0%
8 32
 
0.9%
6 25
 
0.7%
7 23
 
0.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3542
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 1456
41.1%
2 720
20.3%
- 483
 
13.6%
1 358
 
10.1%
3 194
 
5.5%
4 192
 
5.4%
5 36
 
1.0%
8 32
 
0.9%
6 25
 
0.7%
7 23
 
0.6%

인허가일자
Date

Distinct157
Distinct (%)97.5%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
Minimum2008-03-25 00:00:00
Maximum2024-04-01 00:00:00
2024-04-30T04:34:46.147890image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T04:34:46.288644image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing161
Missing (%)100.0%
Memory size1.5 KiB

영업상태코드
Categorical

Distinct2
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
3
115 
1
46 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
3 115
71.4%
1 46
 
28.6%

Length

2024-04-30T04:34:46.429196image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:34:46.523885image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 115
71.4%
1 46
 
28.6%

영업상태명
Categorical

Distinct2
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
폐업
115 
영업/정상
46 

Length

Max length5
Median length2
Mean length2.8571429
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 115
71.4%
영업/정상 46
 
28.6%

Length

2024-04-30T04:34:46.622413image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:34:46.713537image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 115
71.4%
영업/정상 46
 
28.6%

상세영업상태코드
Categorical

Distinct2
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
2
115 
1
46 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
2 115
71.4%
1 46
 
28.6%

Length

2024-04-30T04:34:46.817052image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:34:46.910090image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2 115
71.4%
1 46
 
28.6%

상세영업상태명
Categorical

Distinct2
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
폐업
115 
영업
46 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 115
71.4%
영업 46
 
28.6%

Length

2024-04-30T04:34:47.011759image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:34:47.121247image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 115
71.4%
영업 46
 
28.6%

폐업일자
Date

MISSING 

Distinct104
Distinct (%)90.4%
Missing46
Missing (%)28.6%
Memory size1.4 KiB
Minimum2009-02-16 00:00:00
Maximum2024-03-21 00:00:00
2024-04-30T04:34:47.225153image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T04:34:47.333031image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing161
Missing (%)100.0%
Memory size1.5 KiB

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing161
Missing (%)100.0%
Memory size1.5 KiB

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing161
Missing (%)100.0%
Memory size1.5 KiB

전화번호
Text

MISSING 

Distinct75
Distinct (%)100.0%
Missing86
Missing (%)53.4%
Memory size1.4 KiB
2024-04-30T04:34:47.539926image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length11.293333
Min length7

Characters and Unicode

Total characters847
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

Unique75 ?
Unique (%)100.0%

Sample

1st row02477 0490
2nd row02 482 1886
3rd row02 472 0228
4th row4861777
5th row02 442 2472
ValueCountFrequency (%)
02 45
25.3%
070 11
 
6.2%
441 4
 
2.2%
429 4
 
2.2%
442 3
 
1.7%
426 2
 
1.1%
8343 2
 
1.1%
487 2
 
1.1%
9977 2
 
1.1%
476 2
 
1.1%
Other values (96) 101
56.7%
2024-04-30T04:34:47.882058image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
146
17.2%
0 135
15.9%
4 108
12.8%
2 108
12.8%
7 75
8.9%
1 64
7.6%
3 45
 
5.3%
8 44
 
5.2%
9 44
 
5.2%
5 39
 
4.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 701
82.8%
Space Separator 146
 
17.2%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 135
19.3%
4 108
15.4%
2 108
15.4%
7 75
10.7%
1 64
9.1%
3 45
 
6.4%
8 44
 
6.3%
9 44
 
6.3%
5 39
 
5.6%
6 39
 
5.6%
Space Separator
ValueCountFrequency (%)
146
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 847
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
146
17.2%
0 135
15.9%
4 108
12.8%
2 108
12.8%
7 75
8.9%
1 64
7.6%
3 45
 
5.3%
8 44
 
5.2%
9 44
 
5.2%
5 39
 
4.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 847
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
146
17.2%
0 135
15.9%
4 108
12.8%
2 108
12.8%
7 75
8.9%
1 64
7.6%
3 45
 
5.3%
8 44
 
5.2%
9 44
 
5.2%
5 39
 
4.6%

소재지면적
Real number (ℝ)

Distinct115
Distinct (%)71.9%
Missing1
Missing (%)0.6%
Infinite0
Infinite (%)0.0%
Mean61.358312
Minimum0
Maximum503.4
Zeros1
Zeros (%)0.6%
Negative0
Negative (%)0.0%
Memory size1.5 KiB
2024-04-30T04:34:48.012055image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile8.1065
Q118
median33
Q366
95-th percentile248.48
Maximum503.4
Range503.4
Interquartile range (IQR)48

Descriptive statistics

Standard deviation83.631583
Coefficient of variation (CV)1.3630033
Kurtosis10.368284
Mean61.358312
Median Absolute Deviation (MAD)18
Skewness3.0552103
Sum9817.33
Variance6994.2417
MonotonicityNot monotonic
2024-04-30T04:34:48.133796image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
15.0 6
 
3.7%
33.0 6
 
3.7%
30.0 5
 
3.1%
66.0 5
 
3.1%
25.0 3
 
1.9%
23.0 3
 
1.9%
18.0 3
 
1.9%
16.5 3
 
1.9%
3.0 2
 
1.2%
10.0 2
 
1.2%
Other values (105) 122
75.8%
ValueCountFrequency (%)
0.0 1
0.6%
3.0 2
1.2%
5.0 2
1.2%
6.6 1
0.6%
7.0 1
0.6%
7.47 1
0.6%
8.14 1
0.6%
9.0 1
0.6%
9.2 1
0.6%
9.4 1
0.6%
ValueCountFrequency (%)
503.4 1
0.6%
473.82 1
0.6%
373.07 1
0.6%
347.22 1
0.6%
339.12 1
0.6%
320.0 1
0.6%
258.0 1
0.6%
250.0 1
0.6%
248.4 1
0.6%
235.7 1
0.6%

소재지우편번호
Text

Distinct67
Distinct (%)41.6%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
2024-04-30T04:34:48.360699image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length6
Mean length6.1428571
Min length6

Characters and Unicode

Total characters989
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

Unique34 ?
Unique (%)21.1%

Sample

1st row134848
2nd row134817
3rd row134857
4th row134845
5th row134856
ValueCountFrequency (%)
134838 10
 
6.2%
134861 9
 
5.6%
134817 8
 
5.0%
134841 8
 
5.0%
134810 6
 
3.7%
134866 6
 
3.7%
134811 6
 
3.7%
134826 5
 
3.1%
134853 4
 
2.5%
134851 4
 
2.5%
Other values (57) 95
59.0%
2024-04-30T04:34:48.666103image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 229
23.2%
4 194
19.6%
3 189
19.1%
8 179
18.1%
6 46
 
4.7%
5 38
 
3.8%
0 33
 
3.3%
7 30
 
3.0%
- 23
 
2.3%
2 17
 
1.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 966
97.7%
Dash Punctuation 23
 
2.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 229
23.7%
4 194
20.1%
3 189
19.6%
8 179
18.5%
6 46
 
4.8%
5 38
 
3.9%
0 33
 
3.4%
7 30
 
3.1%
2 17
 
1.8%
9 11
 
1.1%
Dash Punctuation
ValueCountFrequency (%)
- 23
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 989
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
1 229
23.2%
4 194
19.6%
3 189
19.1%
8 179
18.1%
6 46
 
4.7%
5 38
 
3.8%
0 33
 
3.3%
7 30
 
3.0%
- 23
 
2.3%
2 17
 
1.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 989
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 229
23.2%
4 194
19.6%
3 189
19.1%
8 179
18.1%
6 46
 
4.7%
5 38
 
3.8%
0 33
 
3.3%
7 30
 
3.0%
- 23
 
2.3%
2 17
 
1.7%

지번주소
Text

Distinct138
Distinct (%)85.7%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
2024-04-30T04:34:48.902660image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length36
Median length34
Mean length22.763975
Min length17

Characters and Unicode

Total characters3665
Distinct characters97
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

Unique118 ?
Unique (%)73.3%

Sample

1st row서울특별시 강동구 성내동 464-30
2nd row서울특별시 강동구 둔촌동 62-8
3rd row서울특별시 강동구 암사동 462-11
4th row서울특별시 강동구 성내동 419-12 1층
5th row서울특별시 강동구 암사동 486-71
ValueCountFrequency (%)
서울특별시 160
21.6%
강동구 160
21.6%
성내동 32
 
4.3%
천호동 31
 
4.2%
길동 29
 
3.9%
암사동 23
 
3.1%
상일동 15
 
2.0%
둔촌동 13
 
1.8%
1층 11
 
1.5%
명일동 8
 
1.1%
Other values (175) 259
35.0%
2024-04-30T04:34:49.253987image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
701
19.1%
동 331
 
9.0%
1 189
 
5.2%
구 164
 
4.5%
강 163
 
4.4%
시 162
 
4.4%
서 161
 
4.4%
울 161
 
4.4%
별 160
 
4.4%
특 160
 
4.4%
Other values (87) 1313
35.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2031
55.4%
Decimal Number 774
 
21.1%
Space Separator 701
 
19.1%
Dash Punctuation 145
 
4.0%
Open Punctuation 6
 
0.2%
Close Punctuation 6
 
0.2%
Uppercase Letter 2
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 331
16.3%
구 164
 
8.1%
강 163
 
8.0%
시 162
 
8.0%
서 161
 
7.9%
울 161
 
7.9%
별 160
 
7.9%
특 160
 
7.9%
호 61
 
3.0%
층 37
 
1.8%
Other values (72) 471
23.2%
Decimal Number
ValueCountFrequency (%)
1 189
24.4%
3 101
13.0%
4 95
12.3%
2 93
12.0%
5 74
 
9.6%
0 63
 
8.1%
8 51
 
6.6%
6 43
 
5.6%
7 41
 
5.3%
9 24
 
3.1%
Space Separator
ValueCountFrequency (%)
701
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 145
100.0%
Open Punctuation
ValueCountFrequency (%)
( 6
100.0%
Close Punctuation
ValueCountFrequency (%)
) 6
100.0%
Uppercase Letter
ValueCountFrequency (%)
B 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2031
55.4%
Common 1632
44.5%
Latin 2
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 331
16.3%
구 164
 
8.1%
강 163
 
8.0%
시 162
 
8.0%
서 161
 
7.9%
울 161
 
7.9%
별 160
 
7.9%
특 160
 
7.9%
호 61
 
3.0%
층 37
 
1.8%
Other values (72) 471
23.2%
Common
ValueCountFrequency (%)
701
43.0%
1 189
 
11.6%
- 145
 
8.9%
3 101
 
6.2%
4 95
 
5.8%
2 93
 
5.7%
5 74
 
4.5%
0 63
 
3.9%
8 51
 
3.1%
6 43
 
2.6%
Other values (4) 77
 
4.7%
Latin
ValueCountFrequency (%)
B 2
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2031
55.4%
ASCII 1634
44.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
701
42.9%
1 189
 
11.6%
- 145
 
8.9%
3 101
 
6.2%
4 95
 
5.8%
2 93
 
5.7%
5 74
 
4.5%
0 63
 
3.9%
8 51
 
3.1%
6 43
 
2.6%
Other values (5) 79
 
4.8%
Hangul
ValueCountFrequency (%)
동 331
16.3%
구 164
 
8.1%
강 163
 
8.0%
시 162
 
8.0%
서 161
 
7.9%
울 161
 
7.9%
별 160
 
7.9%
특 160
 
7.9%
호 61
 
3.0%
층 37
 
1.8%
Other values (72) 471
23.2%

도로명주소
Text

MISSING 

Distinct130
Distinct (%)97.0%
Missing27
Missing (%)16.8%
Memory size1.4 KiB
2024-04-30T04:34:49.512439image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length48
Median length39
Mean length32.059701
Min length22

Characters and Unicode

Total characters4296
Distinct characters117
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

Unique126 ?
Unique (%)94.0%

Sample

1st row서울특별시 강동구 성안로3길 69 (성내동)
2nd row서울특별시 강동구 상암로23길 41, 1층 103호 (암사동)
3rd row서울특별시 강동구 천중로32길 47 (천호동)
4th row서울특별시 강동구 상암로 413 (상일동)
5th row서울특별시 강동구 성안로 12 (성내동)
ValueCountFrequency (%)
서울특별시 133
 
15.4%
강동구 133
 
15.4%
1층 32
 
3.7%
성내동 26
 
3.0%
길동 26
 
3.0%
천호동 22
 
2.5%
암사동 18
 
2.1%
3층 15
 
1.7%
상일동 14
 
1.6%
양재대로 13
 
1.5%
Other values (236) 434
50.1%
2024-04-30T04:34:49.879282image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
732
 
17.0%
동 284
 
6.6%
1 204
 
4.7%
구 148
 
3.4%
강 137
 
3.2%
) 136
 
3.2%
( 136
 
3.2%
시 135
 
3.1%
서 134
 
3.1%
울 134
 
3.1%
Other values (107) 2116
49.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2367
55.1%
Decimal Number 774
 
18.0%
Space Separator 732
 
17.0%
Close Punctuation 136
 
3.2%
Open Punctuation 136
 
3.2%
Other Punctuation 125
 
2.9%
Dash Punctuation 18
 
0.4%
Uppercase Letter 8
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 284
 
12.0%
구 148
 
6.3%
강 137
 
5.8%
시 135
 
5.7%
서 134
 
5.7%
울 134
 
5.7%
특 133
 
5.6%
별 133
 
5.6%
로 133
 
5.6%
호 107
 
4.5%
Other values (90) 889
37.6%
Decimal Number
ValueCountFrequency (%)
1 204
26.4%
2 123
15.9%
3 87
11.2%
4 68
 
8.8%
0 66
 
8.5%
5 54
 
7.0%
7 53
 
6.8%
9 45
 
5.8%
6 43
 
5.6%
8 31
 
4.0%
Uppercase Letter
ValueCountFrequency (%)
B 7
87.5%
A 1
 
12.5%
Space Separator
ValueCountFrequency (%)
732
100.0%
Close Punctuation
ValueCountFrequency (%)
) 136
100.0%
Open Punctuation
ValueCountFrequency (%)
( 136
100.0%
Other Punctuation
ValueCountFrequency (%)
, 125
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 18
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2367
55.1%
Common 1921
44.7%
Latin 8
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 284
 
12.0%
구 148
 
6.3%
강 137
 
5.8%
시 135
 
5.7%
서 134
 
5.7%
울 134
 
5.7%
특 133
 
5.6%
별 133
 
5.6%
로 133
 
5.6%
호 107
 
4.5%
Other values (90) 889
37.6%
Common
ValueCountFrequency (%)
732
38.1%
1 204
 
10.6%
) 136
 
7.1%
( 136
 
7.1%
, 125
 
6.5%
2 123
 
6.4%
3 87
 
4.5%
4 68
 
3.5%
0 66
 
3.4%
5 54
 
2.8%
Other values (5) 190
 
9.9%
Latin
ValueCountFrequency (%)
B 7
87.5%
A 1
 
12.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2367
55.1%
ASCII 1929
44.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
732
37.9%
1 204
 
10.6%
) 136
 
7.1%
( 136
 
7.1%
, 125
 
6.5%
2 123
 
6.4%
3 87
 
4.5%
4 68
 
3.5%
0 66
 
3.4%
5 54
 
2.8%
Other values (7) 198
 
10.3%
Hangul
ValueCountFrequency (%)
동 284
 
12.0%
구 148
 
6.3%
강 137
 
5.8%
시 135
 
5.7%
서 134
 
5.7%
울 134
 
5.7%
특 133
 
5.6%
별 133
 
5.6%
로 133
 
5.6%
호 107
 
4.5%
Other values (90) 889
37.6%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct65
Distinct (%)49.2%
Missing29
Missing (%)18.0%
Infinite0
Infinite (%)0.0%
Mean5626.1439
Minimum5211
Maximum46219
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.5 KiB
2024-04-30T04:34:50.009484image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum5211
5-th percentile5231.95
Q15283
median5305
Q35365
95-th percentile5401.8
Maximum46219
Range41008
Interquartile range (IQR)82

Descriptive statistics

Standard deviation3560.5367
Coefficient of variation (CV)0.6328556
Kurtosis131.93759
Mean5626.1439
Median Absolute Deviation (MAD)46
Skewness11.485082
Sum742651
Variance12677422
MonotonicityNot monotonic
2024-04-30T04:34:50.115621image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
5385 8
 
5.0%
5284 6
 
3.7%
5303 6
 
3.7%
5283 5
 
3.1%
5356 5
 
3.1%
5302 5
 
3.1%
5310 5
 
3.1%
5392 4
 
2.5%
5238 4
 
2.5%
5364 4
 
2.5%
Other values (55) 80
49.7%
(Missing) 29
 
18.0%
ValueCountFrequency (%)
5211 1
 
0.6%
5221 1
 
0.6%
5222 1
 
0.6%
5224 1
 
0.6%
5225 2
1.2%
5227 1
 
0.6%
5236 3
1.9%
5238 4
2.5%
5242 1
 
0.6%
5244 1
 
0.6%
ValueCountFrequency (%)
46219 1
 
0.6%
5411 2
1.2%
5408 2
1.2%
5407 1
 
0.6%
5404 1
 
0.6%
5400 1
 
0.6%
5398 1
 
0.6%
5396 2
1.2%
5392 4
2.5%
5387 1
 
0.6%

사업장명
Text

Distinct156
Distinct (%)96.9%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
2024-04-30T04:34:50.316959image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length19
Median length17
Mean length6.6149068
Min length2

Characters and Unicode

Total characters1065
Distinct characters230
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

Unique152 ?
Unique (%)94.4%

Sample

1st row주식회사 남한강
2nd row승진유통
3rd row창대유통
4th row숙이네농산
5th row털보수산
ValueCountFrequency (%)
주식회사 23
 
11.2%
서울지점 4
 
2.0%
조은푸드 3
 
1.5%
주 2
 
1.0%
농업회사법인 2
 
1.0%
유통 2
 
1.0%
강남유통 2
 
1.0%
창대유통 2
 
1.0%
태산식품 2
 
1.0%
해왕에프앤비 1
 
0.5%
Other values (162) 162
79.0%
2024-04-30T04:34:50.612355image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 50
 
4.7%
드 47
 
4.4%
푸 46
 
4.3%
45
 
4.2%
식 35
 
3.3%
사 32
 
3.0%
회 28
 
2.6%
에 26
 
2.4%
) 26
 
2.4%
( 26
 
2.4%
Other values (220) 704
66.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 933
87.6%
Space Separator 45
 
4.2%
Close Punctuation 26
 
2.4%
Open Punctuation 26
 
2.4%
Uppercase Letter 16
 
1.5%
Lowercase Letter 15
 
1.4%
Other Punctuation 4
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 50
 
5.4%
드 47
 
5.0%
푸 46
 
4.9%
식 35
 
3.8%
사 32
 
3.4%
회 28
 
3.0%
에 26
 
2.8%
스 24
 
2.6%
유 19
 
2.0%
통 17
 
1.8%
Other values (196) 609
65.3%
Lowercase Letter
ValueCountFrequency (%)
o 3
20.0%
l 2
13.3%
f 1
 
6.7%
p 1
 
6.7%
s 1
 
6.7%
d 1
 
6.7%
n 1
 
6.7%
e 1
 
6.7%
i 1
 
6.7%
r 1
 
6.7%
Other values (2) 2
13.3%
Uppercase Letter
ValueCountFrequency (%)
S 6
37.5%
F 5
31.2%
C 2
 
12.5%
T 1
 
6.2%
G 1
 
6.2%
P 1
 
6.2%
Other Punctuation
ValueCountFrequency (%)
& 2
50.0%
. 1
25.0%
, 1
25.0%
Space Separator
ValueCountFrequency (%)
45
100.0%
Close Punctuation
ValueCountFrequency (%)
) 26
100.0%
Open Punctuation
ValueCountFrequency (%)
( 26
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 933
87.6%
Common 101
 
9.5%
Latin 31
 
2.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 50
 
5.4%
드 47
 
5.0%
푸 46
 
4.9%
식 35
 
3.8%
사 32
 
3.4%
회 28
 
3.0%
에 26
 
2.8%
스 24
 
2.6%
유 19
 
2.0%
통 17
 
1.8%
Other values (196) 609
65.3%
Latin
ValueCountFrequency (%)
S 6
19.4%
F 5
16.1%
o 3
 
9.7%
C 2
 
6.5%
l 2
 
6.5%
f 1
 
3.2%
p 1
 
3.2%
T 1
 
3.2%
s 1
 
3.2%
d 1
 
3.2%
Other values (8) 8
25.8%
Common
ValueCountFrequency (%)
45
44.6%
) 26
25.7%
( 26
25.7%
& 2
 
2.0%
. 1
 
1.0%
, 1
 
1.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 933
87.6%
ASCII 132
 
12.4%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 50
 
5.4%
드 47
 
5.0%
푸 46
 
4.9%
식 35
 
3.8%
사 32
 
3.4%
회 28
 
3.0%
에 26
 
2.8%
스 24
 
2.6%
유 19
 
2.0%
통 17
 
1.8%
Other values (196) 609
65.3%
ASCII
ValueCountFrequency (%)
45
34.1%
) 26
19.7%
( 26
19.7%
S 6
 
4.5%
F 5
 
3.8%
o 3
 
2.3%
C 2
 
1.5%
& 2
 
1.5%
l 2
 
1.5%
f 1
 
0.8%
Other values (14) 14
 
10.6%

최종수정일자
Date

UNIQUE 

Distinct161
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
Minimum2008-03-31 09:57:39
Maximum2024-04-01 14:25:10
2024-04-30T04:34:50.731404image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T04:34:51.007777image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

데이터갱신구분
Categorical

Distinct2
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
I
116 
U
45 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
I 116
72.0%
U 45
 
28.0%

Length

2024-04-30T04:34:51.108868image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:34:51.198091image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 116
72.0%
u 45
 
28.0%

데이터갱신일자
Date

Distinct61
Distinct (%)37.9%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
Minimum2018-08-31 23:59:59
Maximum2023-12-04 00:03:00
2024-04-30T04:34:51.286251image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T04:34:51.405517image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업태구분명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
집단급식소 식품판매업
161 

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 161
100.0%

Length

2024-04-30T04:34:51.529876image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:34:51.608407image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
집단급식소 161
50.0%
식품판매업 161
50.0%

좌표정보(X)
Real number (ℝ)

Distinct115
Distinct (%)71.9%
Missing1
Missing (%)0.6%
Infinite0
Infinite (%)0.0%
Mean213507.63
Minimum210621.95
Maximum390306.09
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.5 KiB
2024-04-30T04:34:51.715168image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum210621.95
5-th percentile210739.46
Q1211458.65
median212221.5
Q3212751.55
95-th percentile215173.35
Maximum390306.09
Range179684.14
Interquartile range (IQR)1292.897

Descriptive statistics

Standard deviation14118.988
Coefficient of variation (CV)0.066128728
Kurtosis157.52297
Mean213507.63
Median Absolute Deviation (MAD)565.55162
Skewness12.503481
Sum34161220
Variance1.9934582 × 108
MonotonicityNot monotonic
2024-04-30T04:34:51.838841image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
212502.24603683 5
 
3.1%
212453.914837248 4
 
2.5%
212563.671427756 4
 
2.5%
210692.588312686 4
 
2.5%
212588.317959994 4
 
2.5%
211458.648093395 4
 
2.5%
212128.748651197 4
 
2.5%
210769.690485765 3
 
1.9%
212452.082772559 3
 
1.9%
213356.751274107 3
 
1.9%
Other values (105) 122
75.8%
ValueCountFrequency (%)
210621.954868934 1
 
0.6%
210648.995783052 1
 
0.6%
210692.588312686 4
2.5%
210698.156669575 1
 
0.6%
210726.755874418 1
 
0.6%
210740.125210724 1
 
0.6%
210769.690485765 3
1.9%
210807.8125649 2
1.2%
210833.520397652 3
1.9%
210902.353907359 1
 
0.6%
ValueCountFrequency (%)
390306.091769163 1
0.6%
215277.575586465 1
0.6%
215230.899404859 2
1.2%
215211.539267961 1
0.6%
215202.379446722 1
0.6%
215195.884311721 2
1.2%
215172.159803867 1
0.6%
215082.338575095 1
0.6%
214965.85243249 1
0.6%
214958.621473538 1
0.6%

좌표정보(Y)
Real number (ℝ)

Distinct115
Distinct (%)71.9%
Missing1
Missing (%)0.6%
Infinite0
Infinite (%)0.0%
Mean447367.4
Minimum198567.48
Maximum451505.01
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.5 KiB
2024-04-30T04:34:51.979821image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum198567.48
5-th percentile447224.27
Q1447986.94
median449026.32
Q3449628.16
95-th percentile450639.21
Maximum451505.01
Range252937.53
Interquartile range (IQR)1641.2136

Descriptive statistics

Standard deviation19820.551
Coefficient of variation (CV)0.044304863
Kurtosis159.0976
Mean447367.4
Median Absolute Deviation (MAD)767.48699
Skewness-12.595915
Sum71578784
Variance3.9285425 × 108
MonotonicityNot monotonic
2024-04-30T04:34:52.099844image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
448079.413538087 5
 
3.1%
448811.888382662 4
 
2.5%
449605.732419203 4
 
2.5%
447609.209611359 4
 
2.5%
448994.865229729 4
 
2.5%
450316.255472825 4
 
2.5%
450405.144983099 4
 
2.5%
447948.75405661 3
 
1.9%
447623.458975769 3
 
1.9%
449342.545626103 3
 
1.9%
Other values (105) 122
75.8%
ValueCountFrequency (%)
198567.476085059 1
0.6%
446680.303498539 1
0.6%
446699.196101461 1
0.6%
446862.234226426 2
1.2%
446973.81658404 1
0.6%
447191.968639032 1
0.6%
447195.676766748 1
0.6%
447225.778131525 1
0.6%
447247.735508367 1
0.6%
447381.53172133 1
0.6%
ValueCountFrequency (%)
451505.007408289 1
 
0.6%
451107.739585903 1
 
0.6%
450941.879306689 1
 
0.6%
450906.710221539 1
 
0.6%
450822.657422925 1
 
0.6%
450763.023582457 1
 
0.6%
450664.192803888 1
 
0.6%
450663.137697461 1
 
0.6%
450637.954760292 1
 
0.6%
450405.144983099 4
2.5%

위생업태명
Categorical

Distinct2
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
집단급식소 식품판매업
130 
<NA>
31 

Length

Max length11
Median length11
Mean length9.6521739
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 130
80.7%
<NA> 31
 
19.3%

Length

2024-04-30T04:34:52.211440image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:34:52.318722image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
집단급식소 130
44.7%
식품판매업 130
44.7%
na 31
 
10.7%

남성종사자수
Categorical

IMBALANCE 

Distinct2
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
<NA>
153 
0
 
8

Length

Max length4
Median length4
Mean length3.8509317
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 153
95.0%
0 8
 
5.0%

Length

2024-04-30T04:34:52.439094image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:34:52.529468image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 153
95.0%
0 8
 
5.0%

여성종사자수
Categorical

IMBALANCE 

Distinct2
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
<NA>
153 
0
 
8

Length

Max length4
Median length4
Mean length3.8509317
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 153
95.0%
0 8
 
5.0%

Length

2024-04-30T04:34:52.615538image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:34:52.702690image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 153
95.0%
0 8
 
5.0%

영업장주변구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing161
Missing (%)100.0%
Memory size1.5 KiB

등급구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing161
Missing (%)100.0%
Memory size1.5 KiB

급수시설구분명
Categorical

IMBALANCE 

Distinct2
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
<NA>
150 
상수도전용
 
11

Length

Max length5
Median length4
Mean length4.068323
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 150
93.2%
상수도전용 11
 
6.8%

Length

2024-04-30T04:34:52.792026image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:34:52.876783image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 150
93.2%
상수도전용 11
 
6.8%

총인원
Categorical

IMBALANCE 

Distinct2
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
<NA>
153 
0
 
8

Length

Max length4
Median length4
Mean length3.8509317
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 153
95.0%
0 8
 
5.0%

Length

2024-04-30T04:34:52.964287image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:34:53.054531image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 153
95.0%
0 8
 
5.0%

본사종업원수
Categorical

Distinct5
Distinct (%)3.1%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
<NA>
79 
0
74 
1
 
5
2
 
2
3
 
1

Length

Max length4
Median length1
Mean length2.4720497
Min length1

Unique

Unique1 ?
Unique (%)0.6%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 79
49.1%
0 74
46.0%
1 5
 
3.1%
2 2
 
1.2%
3 1
 
0.6%

Length

2024-04-30T04:34:53.153547image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:34:53.251300image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 79
49.1%
0 74
46.0%
1 5
 
3.1%
2 2
 
1.2%
3 1
 
0.6%

공장사무직종업원수
Categorical

Distinct4
Distinct (%)2.5%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
<NA>
79 
0
77 
1
 
4
2
 
1

Length

Max length4
Median length1
Mean length2.4720497
Min length1

Unique

Unique1 ?
Unique (%)0.6%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 79
49.1%
0 77
47.8%
1 4
 
2.5%
2 1
 
0.6%

Length

2024-04-30T04:34:53.349109image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:34:53.448162image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 79
49.1%
0 77
47.8%
1 4
 
2.5%
2 1
 
0.6%

공장판매직종업원수
Categorical

Distinct2
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
0
82 
<NA>
79 

Length

Max length4
Median length1
Mean length2.4720497
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 82
50.9%
<NA> 79
49.1%

Length

2024-04-30T04:34:53.548613image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:34:53.641063image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 82
50.9%
na 79
49.1%

공장생산직종업원수
Categorical

Distinct3
Distinct (%)1.9%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
0
81 
<NA>
79 
17
 
1

Length

Max length4
Median length1
Mean length2.4782609
Min length1

Unique

Unique1 ?
Unique (%)0.6%

Sample

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

Common Values

ValueCountFrequency (%)
0 81
50.3%
<NA> 79
49.1%
17 1
 
0.6%

Length

2024-04-30T04:34:53.728901image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:34:53.814910image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 81
50.3%
na 79
49.1%
17 1
 
0.6%

건물소유구분명
Categorical

Distinct3
Distinct (%)1.9%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
<NA>
98 
자가
33 
임대
30 

Length

Max length4
Median length4
Mean length3.2173913
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 98
60.9%
자가 33
 
20.5%
임대 30
 
18.6%

Length

2024-04-30T04:34:53.910705image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:34:54.008981image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 98
60.9%
자가 33
 
20.5%
임대 30
 
18.6%

보증액
Categorical

IMBALANCE 

Distinct2
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
<NA>
153 
0
 
8

Length

Max length4
Median length4
Mean length3.8509317
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 153
95.0%
0 8
 
5.0%

Length

2024-04-30T04:34:54.108872image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:34:54.206887image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 153
95.0%
0 8
 
5.0%

월세액
Categorical

IMBALANCE 

Distinct2
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
<NA>
153 
0
 
8

Length

Max length4
Median length4
Mean length3.8509317
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 153
95.0%
0 8
 
5.0%

Length

2024-04-30T04:34:54.303207image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:34:54.393456image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 153
95.0%
0 8
 
5.0%

다중이용업소여부
Boolean

CONSTANT  MISSING 

Distinct1
Distinct (%)0.8%
Missing31
Missing (%)19.3%
Memory size454.0 B
False
130 
(Missing)
31 
ValueCountFrequency (%)
False 130
80.7%
(Missing) 31
 
19.3%
2024-04-30T04:34:54.465670image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

시설총규모
Real number (ℝ)

MISSING  ZEROS 

Distinct57
Distinct (%)43.8%
Missing31
Missing (%)19.3%
Infinite0
Infinite (%)0.0%
Mean23.122692
Minimum0
Maximum248.4
Zeros60
Zeros (%)37.3%
Negative0
Negative (%)0.0%
Memory size1.5 KiB
2024-04-30T04:34:54.566921image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median9.3
Q330
95-th percentile88.9975
Maximum248.4
Range248.4
Interquartile range (IQR)30

Descriptive statistics

Standard deviation39.90224
Coefficient of variation (CV)1.7256745
Kurtosis14.254049
Mean23.122692
Median Absolute Deviation (MAD)9.3
Skewness3.3732964
Sum3005.95
Variance1592.1887
MonotonicityNot monotonic
2024-04-30T04:34:54.698449image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 60
37.3%
30.0 5
 
3.1%
33.0 4
 
2.5%
15.0 4
 
2.5%
19.82 2
 
1.2%
62.98 2
 
1.2%
18.0 2
 
1.2%
24.06 2
 
1.2%
23.0 1
 
0.6%
53.64 1
 
0.6%
Other values (47) 47
29.2%
(Missing) 31
19.3%
ValueCountFrequency (%)
0.0 60
37.3%
3.0 1
 
0.6%
5.0 1
 
0.6%
7.0 1
 
0.6%
7.47 1
 
0.6%
9.2 1
 
0.6%
9.4 1
 
0.6%
9.9 1
 
0.6%
11.2 1
 
0.6%
14.09 1
 
0.6%
ValueCountFrequency (%)
248.4 1
0.6%
235.7 1
0.6%
167.64 1
0.6%
135.08 1
0.6%
116.89 1
0.6%
100.0 1
0.6%
95.23 1
0.6%
81.38 1
0.6%
71.53 1
0.6%
71.34 1
0.6%

전통업소지정번호
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing161
Missing (%)100.0%
Memory size1.5 KiB

전통업소주된음식
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing161
Missing (%)100.0%
Memory size1.5 KiB

홈페이지
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing161
Missing (%)100.0%
Memory size1.5 KiB

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)위생업태명남성종사자수여성종사자수영업장주변구분명등급구분명급수시설구분명총인원본사종업원수공장사무직종업원수공장판매직종업원수공장생산직종업원수건물소유구분명보증액월세액다중이용업소여부시설총규모전통업소지정번호전통업소주된음식홈페이지
032400003240000-122-2008-0000120080325<NA>1영업/정상1영업<NA><NA><NA><NA>02477 0490258.0134848서울특별시 강동구 성내동 464-30서울특별시 강동구 성안로3길 69 (성내동)5400주식회사 남한강2020-01-22 11:32:03U2020-01-24 02:40:00.0집단급식소 식품판매업211069.812258447191.968639집단급식소 식품판매업<NA><NA><NA><NA><NA><NA>0000자가<NA><NA>N0.0<NA><NA><NA>
132400003240000-122-2008-0000220080331<NA>3폐업2폐업20090318<NA><NA><NA>02 482 188690.0134817서울특별시 강동구 둔촌동 62-8<NA><NA>승진유통2008-03-31 09:57:39I2018-08-31 23:59:59.0집단급식소 식품판매업212409.077739447593.773078집단급식소 식품판매업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>자가<NA><NA>N0.0<NA><NA><NA>
232400003240000-122-2008-0000320080408<NA>3폐업2폐업20090216<NA><NA><NA><NA>33.0134857서울특별시 강동구 암사동 462-11<NA><NA>창대유통2008-04-08 17:48:17I2018-08-31 23:59:59.0집단급식소 식품판매업211409.860763450261.169175집단급식소 식품판매업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>자가<NA><NA>N0.0<NA><NA><NA>
332400003240000-122-2008-0000420080502<NA>3폐업2폐업20090417<NA><NA><NA>02 472 022860.0134845서울특별시 강동구 성내동 419-12 1층<NA><NA>숙이네농산2008-05-02 15:40:17I2018-08-31 23:59:59.0집단급식소 식품판매업211613.997669447409.628033집단급식소 식품판매업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>자가<NA><NA>N0.0<NA><NA><NA>
432400003240000-122-2008-0000520080801<NA>3폐업2폐업20210705<NA><NA><NA>486177724.5134856서울특별시 강동구 암사동 486-71서울특별시 강동구 상암로23길 41, 1층 103호 (암사동)5259털보수산2021-07-05 11:21:56U2021-07-07 02:40:00.0집단급식소 식품판매업211874.809829449643.284675집단급식소 식품판매업00<NA><NA><NA>00000자가00N24.5<NA><NA><NA>
532400003240000-122-2008-0000620080806<NA>3폐업2폐업20110818<NA><NA><NA>02 442 247216.0134801서울특별시 강동구 고덕동 183-0 (1층)<NA><NA>라이프테크2010-08-04 10:05:09I2018-08-31 23:59:59.0집단급식소 식품판매업214948.624143450822.657423집단급식소 식품판매업<NA><NA><NA><NA><NA><NA>0000자가<NA><NA>N0.0<NA><NA><NA>
632400003240000-122-2008-0000720080813<NA>3폐업2폐업20110819<NA><NA><NA><NA>66.0134841서울특별시 강동구 성내동 111-10<NA><NA>한은유통2010-08-04 10:05:44I2018-08-31 23:59:59.0집단급식소 식품판매업210769.690486447948.754057집단급식소 식품판매업<NA><NA><NA><NA><NA><NA>0000자가<NA><NA>N0.0<NA><NA><NA>
732400003240000-122-2008-0000820080814<NA>3폐업2폐업20110926<NA><NA><NA>4705217250.0134868서울특별시 강동구 천호동 337-52 청구빌딩 5층<NA><NA>(주)애니원푸드2010-10-19 14:17:46I2018-08-31 23:59:59.0집단급식소 식품판매업210621.954869449062.196021집단급식소 식품판매업<NA><NA><NA><NA><NA><NA>0000자가<NA><NA>N0.0<NA><NA><NA>
832400003240000-122-2008-0000920080821<NA>3폐업2폐업20110819<NA><NA><NA>429 713360.0134861서울특별시 강동구 천호동 30-1<NA><NA>원플러스원2010-06-10 14:32:22I2018-08-31 23:59:59.0집단급식소 식품판매업212563.671428449605.732419집단급식소 식품판매업<NA><NA><NA><NA><NA><NA>0000자가<NA><NA>N0.0<NA><NA><NA>
932400003240000-122-2008-0001020081010<NA>3폐업2폐업20090302<NA><NA><NA>02 441 857663.0134809서울특별시 강동구 길동 160 신동아(아)상가 지하11호<NA><NA>강남유통2008-10-10 15:58:42I2018-08-31 23:59:59.0집단급식소 식품판매업213070.495037448552.74791집단급식소 식품판매업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>자가<NA><NA>N0.0<NA><NA><NA>
개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)위생업태명남성종사자수여성종사자수영업장주변구분명등급구분명급수시설구분명총인원본사종업원수공장사무직종업원수공장판매직종업원수공장생산직종업원수건물소유구분명보증액월세액다중이용업소여부시설총규모전통업소지정번호전통업소주된음식홈페이지
15132400003240000-122-2022-0000420220516<NA>1영업/정상1영업<NA><NA><NA><NA><NA>9.0134810서울특별시 강동구 길동 331-7서울특별시 강동구 양재대로126길 54, 1층 B호 (길동)5301정원에코푸드2022-05-16 11:11:20I2021-12-04 23:08:00.0집단급식소 식품판매업212771.437032449016.608954<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
15232400003240000-122-2022-000052022-09-23<NA>1영업/정상1영업<NA><NA><NA><NA><NA>133.0134-859서울특별시 강동구 암사동 501-16서울특별시 강동구 상암로11길 29, 지층 B101호 (암사동)5264신진푸드 팩토리2023-12-27 16:59:10U2022-11-01 22:09:00.0집단급식소 식품판매업211317.640531449871.521385<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
15332400003240000-122-2022-0000620221109<NA>1영업/정상1영업<NA><NA><NA><NA><NA>347.22134864서울특별시 강동구 천호동 181-24서울특별시 강동구 성안로31길 29-40, 1층 101호 (천호동)5332(주)에코푸드코리아2022-11-09 11:41:20I2021-10-31 23:02:00.0집단급식소 식품판매업211859.416035448634.198139<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
15432400003240000-122-2022-0000720221219<NA>1영업/정상1영업<NA><NA><NA><NA><NA>24.0134810서울특별시 강동구 길동 331-7서울특별시 강동구 양재대로126길 54, 1층 B호 (길동)5301학교법인 연세대학교연세우유강동보급소2022-12-19 17:56:51I2021-11-01 22:01:00.0집단급식소 식품판매업212771.437032449016.608954<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
15532400003240000-122-2023-000012023-02-01<NA>3폐업2폐업2023-12-01<NA><NA><NA><NA>339.12134-811서울특별시 강동구 길동 347-12 동호빌딩서울특별시 강동구 양재대로 1522, 동호빌딩 301호 (길동)5303(주)청인2023-12-01 15:32:22U2022-11-02 00:03:00.0집단급식소 식품판매업212453.914837448811.888383<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
15632400003240000-122-2023-000022023-07-24<NA>1영업/정상1영업<NA><NA><NA><NA><NA>38.0134-815서울특별시 강동구 길동 229 이화빌딩서울특별시 강동구 진황도로49길 41, 이화빌딩 지층 103호 (길동)5356주식회사 리오에프앤비2023-07-24 13:03:44I2022-12-06 22:06:00.0집단급식소 식품판매업212502.246037448079.413538<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
15732400003240000-122-2023-000032023-11-13<NA>1영업/정상1영업<NA><NA><NA><NA><NA>123.0134-815서울특별시 강동구 길동 229 이화빌딩서울특별시 강동구 진황도로49길 41, 이화빌딩 3층 303호 (길동)5356동원 송파강동하남지점2023-11-13 11:49:06I2022-10-31 23:05:00.0집단급식소 식품판매업212502.246037448079.413538<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
15832400003240000-122-2024-000012024-01-10<NA>1영업/정상1영업<NA><NA><NA><NA><NA>320.0134-859서울특별시 강동구 암사동 501-2서울특별시 강동구 올림픽로 778, 1층 (암사동)5264뚜레쥬르 암사역점2024-01-10 10:53:54I2023-11-30 23:02:00.0집단급식소 식품판매업211234.491782449797.989971<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
15932400003240000-122-2024-000022024-01-31<NA>1영업/정상1영업<NA><NA><NA><NA><NA>181.76134-811서울특별시 강동구 길동 347-12 동호빌딩서울특별시 강동구 양재대로 1522, 동호빌딩 3층 301호 (길동)5303현성푸드2024-01-31 13:49:30I2023-12-02 00:02:00.0집단급식소 식품판매업212453.914837448811.888383<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
16032400003240000-122-2024-000032024-04-01<NA>1영업/정상1영업<NA><NA><NA><NA><NA>52.21134-880서울특별시 강동구 길동 401-8서울특별시 강동구 양재대로112길 87, 103호 (길동)5350파파2024-04-01 14:02:09I2023-12-04 00:03:00.0집단급식소 식품판매업212714.726866448193.392189<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>