Overview

Dataset statistics

Number of variables44
Number of observations2277
Missing cells34257
Missing cells (%)34.2%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory838.4 KiB
Average record size in memory377.1 B

Variable types

Numeric11
Text7
DateTime4
Unsupported9
Categorical12
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
Author서울특별시
URLhttps://data.seoul.go.kr/dataList/OA-16068/S/1/datasetView.do

Alerts

업태구분명 has constant value ""Constant
다중이용업소여부 has constant value ""Constant
남성종사자수 is highly imbalanced (52.0%)Imbalance
여성종사자수 is highly imbalanced (52.0%)Imbalance
급수시설구분명 is highly imbalanced (68.4%)Imbalance
총인원 is highly imbalanced (52.0%)Imbalance
인허가취소일자 has 2277 (100.0%) missing valuesMissing
폐업일자 has 819 (36.0%) missing valuesMissing
휴업시작일자 has 2277 (100.0%) missing valuesMissing
휴업종료일자 has 2277 (100.0%) missing valuesMissing
재개업일자 has 2277 (100.0%) missing valuesMissing
전화번호 has 898 (39.4%) missing valuesMissing
소재지면적 has 115 (5.1%) missing valuesMissing
도로명주소 has 299 (13.1%) missing valuesMissing
도로명우편번호 has 335 (14.7%) missing valuesMissing
영업장주변구분명 has 2277 (100.0%) missing valuesMissing
등급구분명 has 2277 (100.0%) missing valuesMissing
본사종업원수 has 1601 (70.3%) missing valuesMissing
공장사무직종업원수 has 1601 (70.3%) missing valuesMissing
공장판매직종업원수 has 1601 (70.3%) missing valuesMissing
공장생산직종업원수 has 1604 (70.4%) missing valuesMissing
보증액 has 2021 (88.8%) missing valuesMissing
월세액 has 2020 (88.7%) missing valuesMissing
다중이용업소여부 has 402 (17.7%) missing valuesMissing
시설총규모 has 402 (17.7%) missing valuesMissing
전통업소지정번호 has 2277 (100.0%) missing valuesMissing
전통업소주된음식 has 2277 (100.0%) missing valuesMissing
홈페이지 has 2277 (100.0%) missing valuesMissing
공장판매직종업원수 is highly skewed (γ1 = 23.24157334)Skewed
시설총규모 is highly skewed (γ1 = 20.33425058)Skewed
관리번호 has unique valuesUnique
인허가취소일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
휴업시작일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
휴업종료일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
재개업일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
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
본사종업원수 has 661 (29.0%) zerosZeros
공장사무직종업원수 has 649 (28.5%) zerosZeros
공장판매직종업원수 has 646 (28.4%) zerosZeros
공장생산직종업원수 has 655 (28.8%) zerosZeros
보증액 has 234 (10.3%) zerosZeros
월세액 has 235 (10.3%) zerosZeros
시설총규모 has 1594 (70.0%) zerosZeros

Reproduction

Analysis started2024-04-06 10:18:30.024093
Analysis finished2024-04-06 10:18:32.079878
Duration2.06 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Real number (ℝ)

Distinct25
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3158014.9
Minimum3000000
Maximum3240000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size20.1 KiB
2024-04-06T19:18:32.168429image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3000000
5-th percentile3030000
Q13100000
median3170000
Q33230000
95-th percentile3240000
Maximum3240000
Range240000
Interquartile range (IQR)130000

Descriptive statistics

Standard deviation72455.754
Coefficient of variation (CV)0.022943449
Kurtosis-1.1149505
Mean3158014.9
Median Absolute Deviation (MAD)60000
Skewness-0.50493705
Sum7.1908 × 109
Variance5.2498363 × 109
MonotonicityNot monotonic
2024-04-06T19:18:32.384588image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%)
3230000 595
26.1%
3150000 182
 
8.0%
3240000 161
 
7.1%
3060000 140
 
6.1%
3180000 131
 
5.8%
3220000 90
 
4.0%
3030000 80
 
3.5%
3110000 80
 
3.5%
3140000 72
 
3.2%
3100000 69
 
3.0%
Other values (15) 677
29.7%
ValueCountFrequency (%)
3000000 19
 
0.8%
3010000 26
 
1.1%
3020000 15
 
0.7%
3030000 80
3.5%
3040000 68
3.0%
3050000 67
2.9%
3060000 140
6.1%
3070000 43
 
1.9%
3080000 41
 
1.8%
3090000 46
 
2.0%
ValueCountFrequency (%)
3240000 161
 
7.1%
3230000 595
26.1%
3220000 90
 
4.0%
3210000 65
 
2.9%
3200000 45
 
2.0%
3190000 45
 
2.0%
3180000 131
 
5.8%
3170000 51
 
2.2%
3160000 54
 
2.4%
3150000 182
 
8.0%

관리번호
Text

UNIQUE 

Distinct2277
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size17.9 KiB
2024-04-06T19:18:32.819041image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length22
Median length22
Mean length22
Min length22

Characters and Unicode

Total characters50094
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

Unique2277 ?
Unique (%)100.0%

Sample

1st row3000000-122-2023-00001
2nd row3090000-122-2013-00003
3rd row3210000-122-2008-00013
4th row3230000-122-2023-00002
5th row3230000-122-2018-00014
ValueCountFrequency (%)
3000000-122-2023-00001 1
 
< 0.1%
3220000-122-2008-00002 1
 
< 0.1%
3220000-122-2008-00004 1
 
< 0.1%
3220000-122-2010-00007 1
 
< 0.1%
3220000-122-2010-00008 1
 
< 0.1%
3220000-122-2011-00001 1
 
< 0.1%
3220000-122-2011-00002 1
 
< 0.1%
3220000-122-2008-00001 1
 
< 0.1%
3220000-122-2010-00005 1
 
< 0.1%
3220000-122-2013-00004 1
 
< 0.1%
Other values (2267) 2267
99.6%
2024-04-06T19:18:33.388618image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 21372
42.7%
2 9056
18.1%
- 6831
 
13.6%
1 5773
 
11.5%
3 3586
 
7.2%
8 810
 
1.6%
4 763
 
1.5%
5 614
 
1.2%
6 470
 
0.9%
9 459
 
0.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 43263
86.4%
Dash Punctuation 6831
 
13.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 21372
49.4%
2 9056
20.9%
1 5773
 
13.3%
3 3586
 
8.3%
8 810
 
1.9%
4 763
 
1.8%
5 614
 
1.4%
6 470
 
1.1%
9 459
 
1.1%
7 360
 
0.8%
Dash Punctuation
ValueCountFrequency (%)
- 6831
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 50094
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 21372
42.7%
2 9056
18.1%
- 6831
 
13.6%
1 5773
 
11.5%
3 3586
 
7.2%
8 810
 
1.6%
4 763
 
1.5%
5 614
 
1.2%
6 470
 
0.9%
9 459
 
0.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 50094
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 21372
42.7%
2 9056
18.1%
- 6831
 
13.6%
1 5773
 
11.5%
3 3586
 
7.2%
8 810
 
1.6%
4 763
 
1.5%
5 614
 
1.2%
6 470
 
0.9%
9 459
 
0.9%
Distinct1418
Distinct (%)62.3%
Missing0
Missing (%)0.0%
Memory size17.9 KiB
Minimum2008-03-14 00:00:00
Maximum2024-04-01 00:00:00
2024-04-06T19:18:33.657693image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T19:18:33.884080image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2277
Missing (%)100.0%
Memory size20.1 KiB
Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size17.9 KiB
3
1458 
1
819 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
3 1458
64.0%
1 819
36.0%

Length

2024-04-06T19:18:34.086134image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T19:18:34.253536image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 1458
64.0%
1 819
36.0%

영업상태명
Categorical

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size17.9 KiB
폐업
1458 
영업/정상
819 

Length

Max length5
Median length2
Mean length3.0790514
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 1458
64.0%
영업/정상 819
36.0%

Length

2024-04-06T19:18:34.450479image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T19:18:34.630038image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 1458
64.0%
영업/정상 819
36.0%
Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size17.9 KiB
2
1458 
1
819 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
2 1458
64.0%
1 819
36.0%

Length

2024-04-06T19:18:34.802479image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T19:18:34.967785image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2 1458
64.0%
1 819
36.0%
Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size17.9 KiB
폐업
1458 
영업
819 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 1458
64.0%
영업 819
36.0%

Length

2024-04-06T19:18:35.165500image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T19:18:35.307796image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 1458
64.0%
영업 819
36.0%

폐업일자
Date

MISSING 

Distinct1079
Distinct (%)74.0%
Missing819
Missing (%)36.0%
Memory size17.9 KiB
Minimum2008-05-06 00:00:00
Maximum2024-04-03 00:00:00
2024-04-06T19:18:35.488099image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T19:18:36.080683image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2277
Missing (%)100.0%
Memory size20.1 KiB

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2277
Missing (%)100.0%
Memory size20.1 KiB

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2277
Missing (%)100.0%
Memory size20.1 KiB

전화번호
Text

MISSING 

Distinct1255
Distinct (%)91.0%
Missing898
Missing (%)39.4%
Memory size17.9 KiB
2024-04-06T19:18:36.648025image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length11.079768
Min length2

Characters and Unicode

Total characters15279
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

Unique1146 ?
Unique (%)83.1%

Sample

1st row02 578 0068
2nd row0226727541
3rd row26290114
4th row02 931 6222
5th row02 9565500
ValueCountFrequency (%)
02 891
30.6%
070 59
 
2.0%
031 41
 
1.4%
407 35
 
1.2%
402 13
 
0.4%
409 13
 
0.4%
431 12
 
0.4%
401 9
 
0.3%
488 9
 
0.3%
400 9
 
0.3%
Other values (1477) 1822
62.5%
2024-04-06T19:18:37.475096image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 2601
17.0%
2 2333
15.3%
2244
14.7%
4 1363
8.9%
3 1071
7.0%
7 1062
7.0%
6 1030
 
6.7%
1 953
 
6.2%
5 918
 
6.0%
8 904
 
5.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 13035
85.3%
Space Separator 2244
 
14.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 2601
20.0%
2 2333
17.9%
4 1363
10.5%
3 1071
8.2%
7 1062
8.1%
6 1030
 
7.9%
1 953
 
7.3%
5 918
 
7.0%
8 904
 
6.9%
9 800
 
6.1%
Space Separator
ValueCountFrequency (%)
2244
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 15279
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 2601
17.0%
2 2333
15.3%
2244
14.7%
4 1363
8.9%
3 1071
7.0%
7 1062
7.0%
6 1030
 
6.7%
1 953
 
6.2%
5 918
 
6.0%
8 904
 
5.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 15279
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 2601
17.0%
2 2333
15.3%
2244
14.7%
4 1363
8.9%
3 1071
7.0%
7 1062
7.0%
6 1030
 
6.7%
1 953
 
6.2%
5 918
 
6.0%
8 904
 
5.9%

소재지면적
Text

MISSING 

Distinct1000
Distinct (%)46.3%
Missing115
Missing (%)5.1%
Memory size17.9 KiB
2024-04-06T19:18:37.952210image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length8
Median length5
Mean length5.0707678
Min length3

Characters and Unicode

Total characters10963
Distinct characters12
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique777 ?
Unique (%)35.9%

Sample

1st row614.73
2nd row25.00
3rd row823.77
4th row29.61
5th row29.61
ValueCountFrequency (%)
33.00 99
 
4.6%
30.00 60
 
2.8%
66.00 50
 
2.3%
20.00 49
 
2.3%
10.00 36
 
1.7%
16.50 33
 
1.5%
15.00 31
 
1.4%
40.00 29
 
1.3%
25.00 27
 
1.2%
3.30 26
 
1.2%
Other values (990) 1722
79.6%
2024-04-06T19:18:38.805419image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 2958
27.0%
. 2162
19.7%
3 888
 
8.1%
1 870
 
7.9%
2 851
 
7.8%
6 667
 
6.1%
5 649
 
5.9%
4 633
 
5.8%
9 486
 
4.4%
8 434
 
4.0%
Other values (2) 365
 
3.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 8793
80.2%
Other Punctuation 2170
 
19.8%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 2958
33.6%
3 888
 
10.1%
1 870
 
9.9%
2 851
 
9.7%
6 667
 
7.6%
5 649
 
7.4%
4 633
 
7.2%
9 486
 
5.5%
8 434
 
4.9%
7 357
 
4.1%
Other Punctuation
ValueCountFrequency (%)
. 2162
99.6%
, 8
 
0.4%

Most occurring scripts

ValueCountFrequency (%)
Common 10963
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 2958
27.0%
. 2162
19.7%
3 888
 
8.1%
1 870
 
7.9%
2 851
 
7.8%
6 667
 
6.1%
5 649
 
5.9%
4 633
 
5.8%
9 486
 
4.4%
8 434
 
4.0%
Other values (2) 365
 
3.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 10963
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 2958
27.0%
. 2162
19.7%
3 888
 
8.1%
1 870
 
7.9%
2 851
 
7.8%
6 667
 
6.1%
5 649
 
5.9%
4 633
 
5.8%
9 486
 
4.4%
8 434
 
4.0%
Other values (2) 365
 
3.3%
Distinct996
Distinct (%)43.8%
Missing5
Missing (%)0.2%
Memory size17.9 KiB
2024-04-06T19:18:39.441109image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length6
Mean length6.1223592
Min length6

Characters and Unicode

Total characters13910
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

Unique611 ?
Unique (%)26.9%

Sample

1st row110-061
2nd row132-841
3rd row137-939
4th row138-820
5th row138-820
ValueCountFrequency (%)
138881 155
 
6.8%
157816 35
 
1.5%
138200 30
 
1.3%
157290 27
 
1.2%
138813 20
 
0.9%
138805 17
 
0.7%
156800 15
 
0.7%
138803 15
 
0.7%
133814 15
 
0.7%
131865 14
 
0.6%
Other values (986) 1929
84.9%
2024-04-06T19:18:40.260676image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 3309
23.8%
8 2904
20.9%
3 1986
14.3%
0 1139
 
8.2%
5 1095
 
7.9%
2 886
 
6.4%
4 714
 
5.1%
7 616
 
4.4%
9 500
 
3.6%
6 483
 
3.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 13632
98.0%
Dash Punctuation 278
 
2.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 3309
24.3%
8 2904
21.3%
3 1986
14.6%
0 1139
 
8.4%
5 1095
 
8.0%
2 886
 
6.5%
4 714
 
5.2%
7 616
 
4.5%
9 500
 
3.7%
6 483
 
3.5%
Dash Punctuation
ValueCountFrequency (%)
- 278
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 13910
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
1 3309
23.8%
8 2904
20.9%
3 1986
14.3%
0 1139
 
8.2%
5 1095
 
7.9%
2 886
 
6.4%
4 714
 
5.1%
7 616
 
4.4%
9 500
 
3.6%
6 483
 
3.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 13910
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 3309
23.8%
8 2904
20.9%
3 1986
14.3%
0 1139
 
8.2%
5 1095
 
7.9%
2 886
 
6.4%
4 714
 
5.1%
7 616
 
4.4%
9 500
 
3.6%
6 483
 
3.5%
Distinct2069
Distinct (%)91.1%
Missing5
Missing (%)0.2%
Memory size17.9 KiB
2024-04-06T19:18:40.940590image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length50
Median length45
Mean length25.018926
Min length14

Characters and Unicode

Total characters56843
Distinct characters438
Distinct categories11 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1943 ?
Unique (%)85.5%

Sample

1st row서울특별시 종로구 신문로1가 115 콘코디언(concordian)
2nd row서울특별시 도봉구 방학동 628
3rd row서울특별시 서초구 양재동 214 농협전산정보 1층
4th row서울특별시 송파구 마천동 279-10
5th row서울특별시 송파구 마천동 279-10
ValueCountFrequency (%)
서울특별시 2270
 
20.1%
송파구 594
 
5.3%
가락동 305
 
2.7%
1층 266
 
2.4%
강서구 182
 
1.6%
600 162
 
1.4%
강동구 160
 
1.4%
지상1층 160
 
1.4%
중랑구 140
 
1.2%
영등포구 131
 
1.2%
Other values (2784) 6932
61.3%
2024-04-06T19:18:41.948833image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
10692
18.8%
2844
 
5.0%
1 2812
 
4.9%
2647
 
4.7%
2452
 
4.3%
2375
 
4.2%
2287
 
4.0%
2271
 
4.0%
2271
 
4.0%
- 1871
 
3.3%
Other values (428) 24321
42.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 31986
56.3%
Decimal Number 11771
 
20.7%
Space Separator 10692
 
18.8%
Dash Punctuation 1871
 
3.3%
Open Punctuation 155
 
0.3%
Close Punctuation 154
 
0.3%
Uppercase Letter 123
 
0.2%
Other Punctuation 68
 
0.1%
Lowercase Letter 15
 
< 0.1%
Math Symbol 4
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
2844
 
8.9%
2647
 
8.3%
2452
 
7.7%
2375
 
7.4%
2287
 
7.2%
2271
 
7.1%
2271
 
7.1%
850
 
2.7%
720
 
2.3%
626
 
2.0%
Other values (371) 12643
39.5%
Uppercase Letter
ValueCountFrequency (%)
B 25
20.3%
A 16
13.0%
C 11
8.9%
K 9
 
7.3%
D 9
 
7.3%
S 8
 
6.5%
R 6
 
4.9%
T 6
 
4.9%
Y 4
 
3.3%
J 3
 
2.4%
Other values (12) 26
21.1%
Decimal Number
ValueCountFrequency (%)
1 2812
23.9%
2 1553
13.2%
3 1230
10.4%
0 1215
10.3%
4 1022
 
8.7%
6 941
 
8.0%
5 920
 
7.8%
7 779
 
6.6%
9 681
 
5.8%
8 618
 
5.3%
Lowercase Letter
ValueCountFrequency (%)
c 3
20.0%
o 2
13.3%
n 2
13.3%
d 2
13.3%
a 1
 
6.7%
i 1
 
6.7%
r 1
 
6.7%
m 1
 
6.7%
k 1
 
6.7%
s 1
 
6.7%
Other Punctuation
ValueCountFrequency (%)
, 53
77.9%
/ 8
 
11.8%
. 3
 
4.4%
@ 2
 
2.9%
? 1
 
1.5%
& 1
 
1.5%
Open Punctuation
ValueCountFrequency (%)
( 142
91.6%
[ 13
 
8.4%
Close Punctuation
ValueCountFrequency (%)
) 141
91.6%
] 13
 
8.4%
Letter Number
ValueCountFrequency (%)
3
75.0%
1
 
25.0%
Space Separator
ValueCountFrequency (%)
10692
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1871
100.0%
Math Symbol
ValueCountFrequency (%)
~ 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 31986
56.3%
Common 24715
43.5%
Latin 142
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
2844
 
8.9%
2647
 
8.3%
2452
 
7.7%
2375
 
7.4%
2287
 
7.2%
2271
 
7.1%
2271
 
7.1%
850
 
2.7%
720
 
2.3%
626
 
2.0%
Other values (371) 12643
39.5%
Latin
ValueCountFrequency (%)
B 25
17.6%
A 16
 
11.3%
C 11
 
7.7%
K 9
 
6.3%
D 9
 
6.3%
S 8
 
5.6%
R 6
 
4.2%
T 6
 
4.2%
Y 4
 
2.8%
J 3
 
2.1%
Other values (24) 45
31.7%
Common
ValueCountFrequency (%)
10692
43.3%
1 2812
 
11.4%
- 1871
 
7.6%
2 1553
 
6.3%
3 1230
 
5.0%
0 1215
 
4.9%
4 1022
 
4.1%
6 941
 
3.8%
5 920
 
3.7%
7 779
 
3.2%
Other values (13) 1680
 
6.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 31986
56.3%
ASCII 24853
43.7%
Number Forms 4
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
10692
43.0%
1 2812
 
11.3%
- 1871
 
7.5%
2 1553
 
6.2%
3 1230
 
4.9%
0 1215
 
4.9%
4 1022
 
4.1%
6 941
 
3.8%
5 920
 
3.7%
7 779
 
3.1%
Other values (45) 1818
 
7.3%
Hangul
ValueCountFrequency (%)
2844
 
8.9%
2647
 
8.3%
2452
 
7.7%
2375
 
7.4%
2287
 
7.2%
2271
 
7.1%
2271
 
7.1%
850
 
2.7%
720
 
2.3%
626
 
2.0%
Other values (371) 12643
39.5%
Number Forms
ValueCountFrequency (%)
3
75.0%
1
 
25.0%

도로명주소
Text

MISSING 

Distinct1900
Distinct (%)96.1%
Missing299
Missing (%)13.1%
Memory size17.9 KiB
2024-04-06T19:18:42.647898image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length77
Median length57
Mean length34.213347
Min length21

Characters and Unicode

Total characters67674
Distinct characters475
Distinct categories11 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1835 ?
Unique (%)92.8%

Sample

1st row서울특별시 종로구 새문안로 76, 콘코디언(concordian) 13층 (신문로1가)
2nd row서울특별시 도봉구 도당로15길 56, 1층 (방학동)
3rd row서울특별시 서초구 매헌로 24, 농협전산정보 1층 (양재동)
4th row서울특별시 송파구 성내천로 313, 1층 2호 (마천동)
5th row서울특별시 송파구 성내천로 313 (마천동)
ValueCountFrequency (%)
서울특별시 1976
 
15.3%
송파구 528
 
4.1%
1층 520
 
4.0%
가락동 217
 
1.7%
양재대로 161
 
1.2%
강서구 159
 
1.2%
932 147
 
1.1%
강동구 133
 
1.0%
지상1층 131
 
1.0%
중랑구 124
 
1.0%
Other values (3006) 8845
68.3%
2024-04-06T19:18:43.647014image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
10967
 
16.2%
1 3237
 
4.8%
2699
 
4.0%
2353
 
3.5%
2203
 
3.3%
2093
 
3.1%
, 2089
 
3.1%
2051
 
3.0%
) 2042
 
3.0%
( 2042
 
3.0%
Other values (465) 35898
53.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 38465
56.8%
Decimal Number 11372
 
16.8%
Space Separator 10967
 
16.2%
Other Punctuation 2101
 
3.1%
Close Punctuation 2046
 
3.0%
Open Punctuation 2046
 
3.0%
Dash Punctuation 497
 
0.7%
Uppercase Letter 159
 
0.2%
Lowercase Letter 12
 
< 0.1%
Math Symbol 5
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
2699
 
7.0%
2353
 
6.1%
2203
 
5.7%
2093
 
5.4%
2051
 
5.3%
1996
 
5.2%
1977
 
5.1%
1977
 
5.1%
1411
 
3.7%
1297
 
3.4%
Other values (409) 18408
47.9%
Uppercase Letter
ValueCountFrequency (%)
B 36
22.6%
A 29
18.2%
C 16
10.1%
D 11
 
6.9%
K 8
 
5.0%
T 8
 
5.0%
G 6
 
3.8%
R 5
 
3.1%
S 5
 
3.1%
E 5
 
3.1%
Other values (13) 30
18.9%
Decimal Number
ValueCountFrequency (%)
1 3237
28.5%
2 1706
15.0%
3 1332
11.7%
0 1026
 
9.0%
4 909
 
8.0%
6 733
 
6.4%
5 723
 
6.4%
9 598
 
5.3%
7 554
 
4.9%
8 554
 
4.9%
Lowercase Letter
ValueCountFrequency (%)
n 2
16.7%
o 2
16.7%
c 2
16.7%
a 1
8.3%
r 1
8.3%
i 1
8.3%
d 1
8.3%
s 1
8.3%
k 1
8.3%
Other Punctuation
ValueCountFrequency (%)
, 2089
99.4%
. 5
 
0.2%
/ 5
 
0.2%
& 1
 
< 0.1%
? 1
 
< 0.1%
Close Punctuation
ValueCountFrequency (%)
) 2042
99.8%
] 4
 
0.2%
Open Punctuation
ValueCountFrequency (%)
( 2042
99.8%
[ 4
 
0.2%
Letter Number
ValueCountFrequency (%)
3
75.0%
1
 
25.0%
Space Separator
ValueCountFrequency (%)
10967
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 497
100.0%
Math Symbol
ValueCountFrequency (%)
~ 5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 38465
56.8%
Common 29034
42.9%
Latin 175
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
2699
 
7.0%
2353
 
6.1%
2203
 
5.7%
2093
 
5.4%
2051
 
5.3%
1996
 
5.2%
1977
 
5.1%
1977
 
5.1%
1411
 
3.7%
1297
 
3.4%
Other values (409) 18408
47.9%
Latin
ValueCountFrequency (%)
B 36
20.6%
A 29
16.6%
C 16
 
9.1%
D 11
 
6.3%
K 8
 
4.6%
T 8
 
4.6%
G 6
 
3.4%
R 5
 
2.9%
S 5
 
2.9%
E 5
 
2.9%
Other values (24) 46
26.3%
Common
ValueCountFrequency (%)
10967
37.8%
1 3237
 
11.1%
, 2089
 
7.2%
) 2042
 
7.0%
( 2042
 
7.0%
2 1706
 
5.9%
3 1332
 
4.6%
0 1026
 
3.5%
4 909
 
3.1%
6 733
 
2.5%
Other values (12) 2951
 
10.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 38465
56.8%
ASCII 29205
43.2%
Number Forms 4
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
10967
37.6%
1 3237
 
11.1%
, 2089
 
7.2%
) 2042
 
7.0%
( 2042
 
7.0%
2 1706
 
5.8%
3 1332
 
4.6%
0 1026
 
3.5%
4 909
 
3.1%
6 733
 
2.5%
Other values (44) 3122
 
10.7%
Hangul
ValueCountFrequency (%)
2699
 
7.0%
2353
 
6.1%
2203
 
5.7%
2093
 
5.4%
2051
 
5.3%
1996
 
5.2%
1977
 
5.1%
1977
 
5.1%
1411
 
3.7%
1297
 
3.4%
Other values (409) 18408
47.9%
Number Forms
ValueCountFrequency (%)
3
75.0%
1
 
25.0%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct995
Distinct (%)51.2%
Missing335
Missing (%)14.7%
Infinite0
Infinite (%)0.0%
Mean5390.9706
Minimum1009
Maximum46219
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size20.1 KiB
2024-04-06T19:18:43.951311image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1009
5-th percentile1660.1
Q14032.25
median5699
Q36900
95-th percentile8332
Maximum46219
Range45210
Interquartile range (IQR)2867.75

Descriptive statistics

Standard deviation2213.1986
Coefficient of variation (CV)0.41053805
Kurtosis58.537444
Mean5390.9706
Median Absolute Deviation (MAD)1360
Skewness2.9152456
Sum10469265
Variance4898248
MonotonicityNot monotonic
2024-04-06T19:18:44.217761image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
5699 147
 
6.5%
7644 44
 
1.9%
7645 33
 
1.4%
5719 20
 
0.9%
6900 15
 
0.7%
6804 12
 
0.5%
7250 10
 
0.4%
4796 10
 
0.4%
7267 9
 
0.4%
4704 9
 
0.4%
Other values (985) 1633
71.7%
(Missing) 335
 
14.7%
ValueCountFrequency (%)
1009 1
 
< 0.1%
1015 1
 
< 0.1%
1035 2
0.1%
1041 3
0.1%
1042 1
 
< 0.1%
1047 1
 
< 0.1%
1048 1
 
< 0.1%
1051 1
 
< 0.1%
1060 1
 
< 0.1%
1070 1
 
< 0.1%
ValueCountFrequency (%)
46219 1
 
< 0.1%
13017 1
 
< 0.1%
8860 1
 
< 0.1%
8857 1
 
< 0.1%
8856 2
 
0.1%
8849 1
 
< 0.1%
8846 2
 
0.1%
8826 1
 
< 0.1%
8823 9
0.4%
8807 1
 
< 0.1%
Distinct2023
Distinct (%)88.8%
Missing0
Missing (%)0.0%
Memory size17.9 KiB
2024-04-06T19:18:44.610843image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length27
Median length23
Mean length6.7720685
Min length2

Characters and Unicode

Total characters15420
Distinct characters560
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1807 ?
Unique (%)79.4%

Sample

1st row(주) 빙그레
2nd row신영농산
3rd row농업회사법인농협양곡 주식회사
4th row마천유통
5th row마천유통
ValueCountFrequency (%)
주식회사 172
 
6.3%
농업회사법인 27
 
1.0%
서울지점 16
 
0.6%
서울지사 15
 
0.5%
13
 
0.5%
공공급식센터 12
 
0.4%
유한회사 9
 
0.3%
유통 9
 
0.3%
푸드 8
 
0.3%
food 7
 
0.3%
Other values (2136) 2459
89.5%
2024-04-06T19:18:45.267912image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
819
 
5.3%
) 681
 
4.4%
( 673
 
4.4%
566
 
3.7%
528
 
3.4%
472
 
3.1%
400
 
2.6%
373
 
2.4%
367
 
2.4%
315
 
2.0%
Other values (550) 10226
66.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 13229
85.8%
Close Punctuation 681
 
4.4%
Open Punctuation 673
 
4.4%
Space Separator 472
 
3.1%
Uppercase Letter 215
 
1.4%
Lowercase Letter 78
 
0.5%
Other Punctuation 38
 
0.2%
Decimal Number 31
 
0.2%
Dash Punctuation 3
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
819
 
6.2%
566
 
4.3%
528
 
4.0%
400
 
3.0%
373
 
2.8%
367
 
2.8%
315
 
2.4%
307
 
2.3%
285
 
2.2%
276
 
2.1%
Other values (489) 8993
68.0%
Uppercase Letter
ValueCountFrequency (%)
S 55
25.6%
F 47
21.9%
D 14
 
6.5%
O 14
 
6.5%
M 12
 
5.6%
T 12
 
5.6%
C 10
 
4.7%
H 8
 
3.7%
P 7
 
3.3%
K 7
 
3.3%
Other values (13) 29
13.5%
Lowercase Letter
ValueCountFrequency (%)
o 19
24.4%
d 10
12.8%
e 8
10.3%
a 5
 
6.4%
i 4
 
5.1%
s 4
 
5.1%
u 4
 
5.1%
n 4
 
5.1%
l 3
 
3.8%
f 3
 
3.8%
Other values (10) 14
17.9%
Decimal Number
ValueCountFrequency (%)
1 9
29.0%
3 4
12.9%
4 4
12.9%
2 3
 
9.7%
9 3
 
9.7%
6 3
 
9.7%
8 3
 
9.7%
0 1
 
3.2%
5 1
 
3.2%
Other Punctuation
ValueCountFrequency (%)
. 18
47.4%
& 16
42.1%
/ 2
 
5.3%
? 1
 
2.6%
, 1
 
2.6%
Close Punctuation
ValueCountFrequency (%)
) 681
100.0%
Open Punctuation
ValueCountFrequency (%)
( 673
100.0%
Space Separator
ValueCountFrequency (%)
472
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 13229
85.8%
Common 1898
 
12.3%
Latin 293
 
1.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
819
 
6.2%
566
 
4.3%
528
 
4.0%
400
 
3.0%
373
 
2.8%
367
 
2.8%
315
 
2.4%
307
 
2.3%
285
 
2.2%
276
 
2.1%
Other values (489) 8993
68.0%
Latin
ValueCountFrequency (%)
S 55
18.8%
F 47
16.0%
o 19
 
6.5%
D 14
 
4.8%
O 14
 
4.8%
M 12
 
4.1%
T 12
 
4.1%
d 10
 
3.4%
C 10
 
3.4%
H 8
 
2.7%
Other values (33) 92
31.4%
Common
ValueCountFrequency (%)
) 681
35.9%
( 673
35.5%
472
24.9%
. 18
 
0.9%
& 16
 
0.8%
1 9
 
0.5%
3 4
 
0.2%
4 4
 
0.2%
- 3
 
0.2%
2 3
 
0.2%
Other values (8) 15
 
0.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 13229
85.8%
ASCII 2191
 
14.2%

Most frequent character per block

Hangul
ValueCountFrequency (%)
819
 
6.2%
566
 
4.3%
528
 
4.0%
400
 
3.0%
373
 
2.8%
367
 
2.8%
315
 
2.4%
307
 
2.3%
285
 
2.2%
276
 
2.1%
Other values (489) 8993
68.0%
ASCII
ValueCountFrequency (%)
) 681
31.1%
( 673
30.7%
472
21.5%
S 55
 
2.5%
F 47
 
2.1%
o 19
 
0.9%
. 18
 
0.8%
& 16
 
0.7%
D 14
 
0.6%
O 14
 
0.6%
Other values (51) 182
 
8.3%
Distinct2276
Distinct (%)> 99.9%
Missing0
Missing (%)0.0%
Memory size17.9 KiB
Minimum2008-03-17 14:17:08
Maximum2024-04-04 16:03:09
2024-04-06T19:18:45.537440image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T19:18:45.832911image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size17.9 KiB
I
1621 
U
656 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
I 1621
71.2%
U 656
28.8%

Length

2024-04-06T19:18:46.034879image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T19:18:46.216938image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 1621
71.2%
u 656
28.8%
Distinct642
Distinct (%)28.2%
Missing0
Missing (%)0.0%
Memory size17.9 KiB
Minimum2018-08-31 23:59:59
Maximum2023-12-04 00:06:00
2024-04-06T19:18:46.403394image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T19:18:46.631138image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업태구분명
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size17.9 KiB
집단급식소 식품판매업
2277 

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 2277
100.0%

Length

2024-04-06T19:18:46.807226image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T19:18:46.952973image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
집단급식소 2277
50.0%
식품판매업 2277
50.0%

좌표정보(X)
Real number (ℝ)

Distinct1630
Distinct (%)72.2%
Missing18
Missing (%)0.8%
Infinite0
Infinite (%)0.0%
Mean201924.49
Minimum182418.86
Maximum390306.09
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size20.1 KiB
2024-04-06T19:18:47.112454image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum182418.86
5-th percentile184148.57
Q1192794.44
median204540.91
Q3209790.96
95-th percentile212597.8
Maximum390306.09
Range207887.23
Interquartile range (IQR)16996.524

Descriptive statistics

Standard deviation10175.619
Coefficient of variation (CV)0.05039319
Kurtosis50.563818
Mean201924.49
Median Absolute Deviation (MAD)6440.7313
Skewness2.3496227
Sum4.5614743 × 108
Variance1.0354323 × 108
MonotonicityNot monotonic
2024-04-06T19:18:47.378205image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
209790.959909032 162
 
7.1%
184148.571466974 36
 
1.6%
203171.974508939 12
 
0.5%
205398.955849813 10
 
0.4%
183914.938310002 10
 
0.4%
193910.163334801 9
 
0.4%
194807.845295028 9
 
0.4%
187691.18308347 8
 
0.4%
209486.793951821 7
 
0.3%
207247.771994435 6
 
0.3%
Other values (1620) 1990
87.4%
(Missing) 18
 
0.8%
ValueCountFrequency (%)
182418.857873799 1
< 0.1%
182929.561795629 1
< 0.1%
182964.153168769 1
< 0.1%
183013.81000202 1
< 0.1%
183017.743573303 1
< 0.1%
183040.616465943 1
< 0.1%
183307.197874057 1
< 0.1%
183315.556652953 1
< 0.1%
183350.907355596 1
< 0.1%
183355.066772749 1
< 0.1%
ValueCountFrequency (%)
390306.091769163 1
< 0.1%
217083.869212807 1
< 0.1%
215277.575586465 1
< 0.1%
215230.899404859 2
0.1%
215211.539267961 1
< 0.1%
215202.379446722 1
< 0.1%
215195.884311721 2
0.1%
215172.159803867 1
< 0.1%
215082.338575095 1
< 0.1%
214965.85243249 1
< 0.1%

좌표정보(Y)
Real number (ℝ)

Distinct1630
Distinct (%)72.2%
Missing18
Missing (%)0.8%
Infinite0
Infinite (%)0.0%
Mean448434.39
Minimum198567.48
Maximum464814.72
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size20.1 KiB
2024-04-06T19:18:47.645750image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum198567.48
5-th percentile441725.29
Q1443683.4
median447684.08
Q3451999.05
95-th percentile459042.24
Maximum464814.72
Range266247.24
Interquartile range (IQR)8315.6478

Descriptive statistics

Standard deviation7641.8252
Coefficient of variation (CV)0.017041122
Kurtosis505.3381
Mean448434.39
Median Absolute Deviation (MAD)4088.3242
Skewness-15.214957
Sum1.0130133 × 109
Variance58397492
MonotonicityNot monotonic
2024-04-06T19:18:47.940679image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
443481.212174317 162
 
7.1%
450166.360534543 36
 
1.6%
439620.265870293 12
 
0.5%
449377.925347971 10
 
0.4%
450085.01457343 10
 
0.4%
439858.509246791 9
 
0.4%
445901.413432497 9
 
0.4%
449648.124125697 8
 
0.4%
444895.395901482 7
 
0.3%
457282.566032636 6
 
0.3%
Other values (1620) 1990
87.4%
(Missing) 18
 
0.8%
ValueCountFrequency (%)
198567.476085059 1
< 0.1%
437914.06299827 2
0.1%
438307.022609784 1
< 0.1%
438307.423372216 1
< 0.1%
438421.820423834 1
< 0.1%
438471.448939669 1
< 0.1%
438489.808220268 1
< 0.1%
438641.919080275 1
< 0.1%
438652.881694606 1
< 0.1%
438675.156769292 1
< 0.1%
ValueCountFrequency (%)
464814.717432497 1
< 0.1%
464212.297931928 1
< 0.1%
464199.048415229 2
0.1%
463990.79883758 1
< 0.1%
463777.629639984 1
< 0.1%
463768.944060895 1
< 0.1%
463767.235264912 1
< 0.1%
463733.991468683 1
< 0.1%
463724.591075496 1
< 0.1%
463573.102150294 1
< 0.1%

위생업태명
Categorical

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size17.9 KiB
집단급식소 식품판매업
1875 
<NA>
402 

Length

Max length11
Median length11
Mean length9.7641634
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 (%)
집단급식소 식품판매업 1875
82.3%
<NA> 402
 
17.7%

Length

2024-04-06T19:18:48.193034image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T19:18:48.366016image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
집단급식소 1875
45.2%
식품판매업 1875
45.2%
na 402
 
9.7%

남성종사자수
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size17.9 KiB
<NA>
2041 
0
236 

Length

Max length4
Median length4
Mean length3.6890646
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> 2041
89.6%
0 236
 
10.4%

Length

2024-04-06T19:18:48.567532image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T19:18:48.754505image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 2041
89.6%
0 236
 
10.4%

여성종사자수
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size17.9 KiB
<NA>
2041 
0
236 

Length

Max length4
Median length4
Mean length3.6890646
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> 2041
89.6%
0 236
 
10.4%

Length

2024-04-06T19:18:48.924836image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T19:18:49.091738image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 2041
89.6%
0 236
 
10.4%

영업장주변구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2277
Missing (%)100.0%
Memory size20.1 KiB

등급구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2277
Missing (%)100.0%
Memory size20.1 KiB

급수시설구분명
Categorical

IMBALANCE 

Distinct3
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size17.9 KiB
<NA>
2029 
상수도전용
247 
상수도(음용)지하수(주방용)겸용
 
1

Length

Max length17
Median length4
Mean length4.1141853
Min length4

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 2029
89.1%
상수도전용 247
 
10.8%
상수도(음용)지하수(주방용)겸용 1
 
< 0.1%

Length

2024-04-06T19:18:49.280846image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T19:18:49.469433image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 2029
89.1%
상수도전용 247
 
10.8%
상수도(음용)지하수(주방용)겸용 1
 
< 0.1%

총인원
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size17.9 KiB
<NA>
2041 
0
236 

Length

Max length4
Median length4
Mean length3.6890646
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> 2041
89.6%
0 236
 
10.4%

Length

2024-04-06T19:18:49.668707image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T19:18:49.854840image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 2041
89.6%
0 236
 
10.4%

본사종업원수
Real number (ℝ)

MISSING  ZEROS 

Distinct8
Distinct (%)1.2%
Missing1601
Missing (%)70.3%
Infinite0
Infinite (%)0.0%
Mean0.084319527
Minimum0
Maximum20
Zeros661
Zeros (%)29.0%
Negative0
Negative (%)0.0%
Memory size20.1 KiB
2024-04-06T19:18:50.018086image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum20
Range20
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.91099765
Coefficient of variation (CV)10.804113
Kurtosis354.64367
Mean0.084319527
Median Absolute Deviation (MAD)0
Skewness17.485152
Sum57
Variance0.82991672
MonotonicityNot monotonic
2024-04-06T19:18:50.206433image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
0 661
29.0%
1 6
 
0.3%
2 3
 
0.1%
4 2
 
0.1%
20 1
 
< 0.1%
5 1
 
< 0.1%
9 1
 
< 0.1%
3 1
 
< 0.1%
(Missing) 1601
70.3%
ValueCountFrequency (%)
0 661
29.0%
1 6
 
0.3%
2 3
 
0.1%
3 1
 
< 0.1%
4 2
 
0.1%
5 1
 
< 0.1%
9 1
 
< 0.1%
20 1
 
< 0.1%
ValueCountFrequency (%)
20 1
 
< 0.1%
9 1
 
< 0.1%
5 1
 
< 0.1%
4 2
 
0.1%
3 1
 
< 0.1%
2 3
 
0.1%
1 6
 
0.3%
0 661
29.0%

공장사무직종업원수
Real number (ℝ)

MISSING  ZEROS 

Distinct8
Distinct (%)1.2%
Missing1601
Missing (%)70.3%
Infinite0
Infinite (%)0.0%
Mean0.1464497
Minimum0
Maximum30
Zeros649
Zeros (%)28.5%
Negative0
Negative (%)0.0%
Memory size20.1 KiB
2024-04-06T19:18:50.403605image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum30
Range30
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.4071255
Coefficient of variation (CV)9.6082509
Kurtosis317.24123
Mean0.1464497
Median Absolute Deviation (MAD)0
Skewness16.438761
Sum99
Variance1.9800022
MonotonicityNot monotonic
2024-04-06T19:18:51.067783image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
0 649
28.5%
1 16
 
0.7%
2 4
 
0.2%
3 2
 
0.1%
12 2
 
0.1%
30 1
 
< 0.1%
7 1
 
< 0.1%
8 1
 
< 0.1%
(Missing) 1601
70.3%
ValueCountFrequency (%)
0 649
28.5%
1 16
 
0.7%
2 4
 
0.2%
3 2
 
0.1%
7 1
 
< 0.1%
8 1
 
< 0.1%
12 2
 
0.1%
30 1
 
< 0.1%
ValueCountFrequency (%)
30 1
 
< 0.1%
12 2
 
0.1%
8 1
 
< 0.1%
7 1
 
< 0.1%
3 2
 
0.1%
2 4
 
0.2%
1 16
 
0.7%
0 649
28.5%

공장판매직종업원수
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct9
Distinct (%)1.3%
Missing1601
Missing (%)70.3%
Infinite0
Infinite (%)0.0%
Mean0.32988166
Minimum0
Maximum120
Zeros646
Zeros (%)28.4%
Negative0
Negative (%)0.0%
Memory size20.1 KiB
2024-04-06T19:18:51.257963image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum120
Range120
Interquartile range (IQR)0

Descriptive statistics

Standard deviation4.8131666
Coefficient of variation (CV)14.590586
Kurtosis570.50071
Mean0.32988166
Median Absolute Deviation (MAD)0
Skewness23.241573
Sum223
Variance23.166572
MonotonicityNot monotonic
2024-04-06T19:18:51.577964image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
0 646
28.4%
2 11
 
0.5%
1 9
 
0.4%
3 4
 
0.2%
5 2
 
0.1%
120 1
 
< 0.1%
30 1
 
< 0.1%
4 1
 
< 0.1%
16 1
 
< 0.1%
(Missing) 1601
70.3%
ValueCountFrequency (%)
0 646
28.4%
1 9
 
0.4%
2 11
 
0.5%
3 4
 
0.2%
4 1
 
< 0.1%
5 2
 
0.1%
16 1
 
< 0.1%
30 1
 
< 0.1%
120 1
 
< 0.1%
ValueCountFrequency (%)
120 1
 
< 0.1%
30 1
 
< 0.1%
16 1
 
< 0.1%
5 2
 
0.1%
4 1
 
< 0.1%
3 4
 
0.2%
2 11
 
0.5%
1 9
 
0.4%
0 646
28.4%

공장생산직종업원수
Real number (ℝ)

MISSING  ZEROS 

Distinct8
Distinct (%)1.2%
Missing1604
Missing (%)70.4%
Infinite0
Infinite (%)0.0%
Mean0.095096582
Minimum0
Maximum17
Zeros655
Zeros (%)28.8%
Negative0
Negative (%)0.0%
Memory size20.1 KiB
2024-04-06T19:18:51.787496image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum17
Range17
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.92896017
Coefficient of variation (CV)9.7685968
Kurtosis217.61965
Mean0.095096582
Median Absolute Deviation (MAD)0
Skewness13.963425
Sum64
Variance0.86296699
MonotonicityNot monotonic
2024-04-06T19:18:51.972573image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
0 655
28.8%
1 10
 
0.4%
3 2
 
0.1%
2 2
 
0.1%
12 1
 
< 0.1%
6 1
 
< 0.1%
9 1
 
< 0.1%
17 1
 
< 0.1%
(Missing) 1604
70.4%
ValueCountFrequency (%)
0 655
28.8%
1 10
 
0.4%
2 2
 
0.1%
3 2
 
0.1%
6 1
 
< 0.1%
9 1
 
< 0.1%
12 1
 
< 0.1%
17 1
 
< 0.1%
ValueCountFrequency (%)
17 1
 
< 0.1%
12 1
 
< 0.1%
9 1
 
< 0.1%
6 1
 
< 0.1%
3 2
 
0.1%
2 2
 
0.1%
1 10
 
0.4%
0 655
28.8%
Distinct3
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size17.9 KiB
<NA>
1194 
임대
688 
자가
395 

Length

Max length4
Median length4
Mean length3.0487484
Min length2

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> 1194
52.4%
임대 688
30.2%
자가 395
 
17.3%

Length

2024-04-06T19:18:52.239692image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T19:18:52.511828image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 1194
52.4%
임대 688
30.2%
자가 395
 
17.3%

보증액
Real number (ℝ)

MISSING  ZEROS 

Distinct12
Distinct (%)4.7%
Missing2021
Missing (%)88.8%
Infinite0
Infinite (%)0.0%
Mean1652343.8
Minimum0
Maximum1.5 × 108
Zeros234
Zeros (%)10.3%
Negative0
Negative (%)0.0%
Memory size20.1 KiB
2024-04-06T19:18:52.785369image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile10000000
Maximum1.5 × 108
Range1.5 × 108
Interquartile range (IQR)0

Descriptive statistics

Standard deviation10886952
Coefficient of variation (CV)6.5887935
Kurtosis143.90342
Mean1652343.8
Median Absolute Deviation (MAD)0
Skewness11.327905
Sum4.23 × 108
Variance1.1852572 × 1014
MonotonicityNot monotonic
2024-04-06T19:18:53.102955image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
0 234
 
10.3%
10000000 7
 
0.3%
5000000 6
 
0.3%
3000000 1
 
< 0.1%
30000000 1
 
< 0.1%
2000000 1
 
< 0.1%
150000000 1
 
< 0.1%
15000000 1
 
< 0.1%
17000000 1
 
< 0.1%
11000000 1
 
< 0.1%
Other values (2) 2
 
0.1%
(Missing) 2021
88.8%
ValueCountFrequency (%)
0 234
10.3%
2000000 1
 
< 0.1%
3000000 1
 
< 0.1%
5000000 6
 
0.3%
10000000 7
 
0.3%
11000000 1
 
< 0.1%
15000000 1
 
< 0.1%
17000000 1
 
< 0.1%
20000000 1
 
< 0.1%
30000000 1
 
< 0.1%
ValueCountFrequency (%)
150000000 1
 
< 0.1%
75000000 1
 
< 0.1%
30000000 1
 
< 0.1%
20000000 1
 
< 0.1%
17000000 1
 
< 0.1%
15000000 1
 
< 0.1%
11000000 1
 
< 0.1%
10000000 7
0.3%
5000000 6
0.3%
3000000 1
 
< 0.1%

월세액
Real number (ℝ)

MISSING  ZEROS 

Distinct20
Distinct (%)7.8%
Missing2020
Missing (%)88.7%
Infinite0
Infinite (%)0.0%
Mean342880.39
Minimum0
Maximum67766260
Zeros235
Zeros (%)10.3%
Negative0
Negative (%)0.0%
Memory size20.1 KiB
2024-04-06T19:18:53.314276image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile456000
Maximum67766260
Range67766260
Interquartile range (IQR)0

Descriptive statistics

Standard deviation4243903.2
Coefficient of variation (CV)12.377212
Kurtosis251.72679
Mean342880.39
Median Absolute Deviation (MAD)0
Skewness15.794088
Sum88120260
Variance1.8010715 × 1013
MonotonicityNot monotonic
2024-04-06T19:18:53.744302image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=20)
ValueCountFrequency (%)
0 235
 
10.3%
450000 2
 
0.1%
300000 2
 
0.1%
2000000 2
 
0.1%
480000 1
 
< 0.1%
600000 1
 
< 0.1%
1750000 1
 
< 0.1%
924000 1
 
< 0.1%
350000 1
 
< 0.1%
150000 1
 
< 0.1%
Other values (10) 10
 
0.4%
(Missing) 2020
88.7%
ValueCountFrequency (%)
0 235
10.3%
100000 1
 
< 0.1%
150000 1
 
< 0.1%
200000 1
 
< 0.1%
300000 2
 
0.1%
350000 1
 
< 0.1%
400000 1
 
< 0.1%
450000 2
 
0.1%
480000 1
 
< 0.1%
500000 1
 
< 0.1%
ValueCountFrequency (%)
67766260 1
< 0.1%
5550000 1
< 0.1%
2000000 2
0.1%
1750000 1
< 0.1%
1500000 1
< 0.1%
1000000 1
< 0.1%
924000 1
< 0.1%
800000 1
< 0.1%
600000 1
< 0.1%
550000 1
< 0.1%

다중이용업소여부
Boolean

CONSTANT  MISSING 

Distinct1
Distinct (%)0.1%
Missing402
Missing (%)17.7%
Memory size4.6 KiB
False
1875 
(Missing)
402 
ValueCountFrequency (%)
False 1875
82.3%
(Missing) 402
 
17.7%
2024-04-06T19:18:53.925125image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

시설총규모
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct193
Distinct (%)10.3%
Missing402
Missing (%)17.7%
Infinite0
Infinite (%)0.0%
Mean9.809008
Minimum0
Maximum1815.14
Zeros1594
Zeros (%)70.0%
Negative0
Negative (%)0.0%
Memory size20.1 KiB
2024-04-06T19:18:54.139784image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile52.1
Maximum1815.14
Range1815.14
Interquartile range (IQR)0

Descriptive statistics

Standard deviation56.363088
Coefficient of variation (CV)5.7460538
Kurtosis584.71677
Mean9.809008
Median Absolute Deviation (MAD)0
Skewness20.334251
Sum18391.89
Variance3176.7977
MonotonicityNot monotonic
2024-04-06T19:18:54.470629image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 1594
70.0%
33.0 14
 
0.6%
30.0 13
 
0.6%
66.0 8
 
0.4%
15.0 6
 
0.3%
40.0 5
 
0.2%
23.0 4
 
0.2%
56.0 4
 
0.2%
24.0 4
 
0.2%
45.0 3
 
0.1%
Other values (183) 220
 
9.7%
(Missing) 402
 
17.7%
ValueCountFrequency (%)
0.0 1594
70.0%
3.0 1
 
< 0.1%
3.3 2
 
0.1%
3.75 1
 
< 0.1%
4.0 2
 
0.1%
5.0 1
 
< 0.1%
6.0 1
 
< 0.1%
6.5 1
 
< 0.1%
6.54 1
 
< 0.1%
6.62 1
 
< 0.1%
ValueCountFrequency (%)
1815.14 1
< 0.1%
717.13 1
< 0.1%
471.84 1
< 0.1%
457.0 1
< 0.1%
421.39 1
< 0.1%
401.0 1
< 0.1%
400.5 1
< 0.1%
337.0 1
< 0.1%
295.0 1
< 0.1%
284.79 1
< 0.1%

전통업소지정번호
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2277
Missing (%)100.0%
Memory size20.1 KiB

전통업소주된음식
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2277
Missing (%)100.0%
Memory size20.1 KiB

홈페이지
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2277
Missing (%)100.0%
Memory size20.1 KiB

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)위생업태명남성종사자수여성종사자수영업장주변구분명등급구분명급수시설구분명총인원본사종업원수공장사무직종업원수공장판매직종업원수공장생산직종업원수건물소유구분명보증액월세액다중이용업소여부시설총규모전통업소지정번호전통업소주된음식홈페이지
030000003000000-122-2023-000012023-03-02<NA>1영업/정상1영업<NA><NA><NA><NA><NA>614.73110-061서울특별시 종로구 신문로1가 115 콘코디언(concordian)서울특별시 종로구 새문안로 76, 콘코디언(concordian) 13층 (신문로1가)3185(주) 빙그레2023-03-02 14:55:56I2022-12-03 00:04:00.0집단급식소 식품판매업197557.974849451938.11526<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
130900003090000-122-2013-000032013-01-25<NA>1영업/정상1영업<NA><NA><NA><NA><NA>25.00132-841서울특별시 도봉구 방학동 628서울특별시 도봉구 도당로15길 56, 1층 (방학동)1347신영농산2023-03-02 09:06:26U2022-12-03 00:04:00.0집단급식소 식품판매업203032.117712462810.857865<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
232100003210000-122-2008-000132008-06-20<NA>1영업/정상1영업<NA><NA><NA><NA>02 578 0068823.77137-939서울특별시 서초구 양재동 214 농협전산정보 1층서울특별시 서초구 매헌로 24, 농협전산정보 1층 (양재동)6771농업회사법인농협양곡 주식회사2023-03-02 14:33:09U2022-12-03 00:04:00.0집단급식소 식품판매업203150.723262440215.751658<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
332300003230000-122-2023-000022023-03-06<NA>1영업/정상1영업<NA><NA><NA><NA><NA>29.61138-820서울특별시 송파구 마천동 279-10서울특별시 송파구 성내천로 313, 1층 2호 (마천동)5761마천유통2023-03-06 15:35:17I2022-12-03 00:08:00.0집단급식소 식품판매업213756.046105443429.148747<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
432300003230000-122-2018-000142018-08-20<NA>3폐업2폐업2023-03-06<NA><NA><NA><NA>29.61138-820서울특별시 송파구 마천동 279-10서울특별시 송파구 성내천로 313 (마천동)5761마천유통2023-03-06 15:09:06U2022-12-03 00:08:00.0집단급식소 식품판매업213756.046105443429.148747<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
531800003180000-122-2011-000072011-10-20<NA>3폐업2폐업2023-03-02<NA><NA><NA>022672754131.72150-760서울특별시 영등포구 대림동 695 우성아파트 201동 107호서울특별시 영등포구 도림로47길 1, 201동 107호 (대림동,우성아파트)7410(주)착한사람들2023-03-06 10:10:37U2022-12-03 00:08:00.0집단급식소 식품판매업191088.099791443718.459773<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
631800003180000-122-2011-000062011-09-21<NA>3폐업2폐업2023-03-02<NA><NA><NA><NA>100.00150-869서울특별시 영등포구 여의도동 12-1 삼도오피스텔 803호서울특별시 영등포구 은행로 58 (여의도동,삼도오피스텔 803호)7241(주)재림씨오엠2023-03-06 10:09:20U2022-12-03 00:08:00.0집단급식소 식품판매업193289.310384447527.152621<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
731800003180000-122-2010-000092010-11-19<NA>3폐업2폐업2023-03-02<NA><NA><NA>26290114411.81150-102서울특별시 영등포구 양평동2가 12서울특별시 영등포구 영등포로6길 5, 지층 (양평동2가)7278롯데푸드(주)2023-03-06 10:09:01U2022-12-03 00:08:00.0집단급식소 식품판매업189710.922675446709.064142<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
831100003110000-122-2023-000012023-03-08<NA>1영업/정상1영업<NA><NA><NA><NA><NA>30.00122-952서울특별시 은평구 응암동 750-6 1층서울특별시 은평구 응암로4길 30-1, 지층 (응암동)3480보람푸드2023-03-08 10:59:55I2022-12-02 23:00:00.0집단급식소 식품판매업192665.011216453909.755021<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
932000003200000-122-2023-000012023-03-13<NA>1영업/정상1영업<NA><NA><NA><NA><NA>66.00151-913서울특별시 관악구 봉천동 952-28서울특별시 관악구 은천로5길 8-17, 1층 (봉천동)8717서울우유 봉천1.9동 고객센터2023-03-13 09:46:12I2022-12-02 23:05:00.0집단급식소 식품판매업194536.924474442715.263188<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)위생업태명남성종사자수여성종사자수영업장주변구분명등급구분명급수시설구분명총인원본사종업원수공장사무직종업원수공장판매직종업원수공장생산직종업원수건물소유구분명보증액월세액다중이용업소여부시설총규모전통업소지정번호전통업소주된음식홈페이지
226732300003230000-122-2020-0000820200220<NA>3폐업2폐업20220927<NA><NA><NA>02 423 0525171.08138834서울특별시 송파구 방이동 196-12 구정빌딩서울특별시 송파구 위례성대로12길 15-1, 구정빌딩 2층 (방이동)5637(주)팀프레시2022-09-27 17:16:52U2021-12-08 22:09:00.0집단급식소 식품판매업210748.374125445562.698202<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
226832200003220000-122-2020-0000320200220<NA>1영업/정상1영업<NA><NA><NA><NA>02 423 0525340.07135831서울특별시 강남구 논현동 236-14서울특별시 강남구 봉은사로37길 7-9, 지하4층 (논현동)6109(주)팀프레시2022-09-27 17:27:19I2021-12-08 22:09:00.0집단급식소 식품판매업203124.417767445144.50744<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
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