Overview

Dataset statistics

Number of variables30
Number of observations1704
Missing cells12603
Missing cells (%)24.7%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory419.5 KiB
Average record size in memory252.1 B

Variable types

Numeric5
DateTime7
Unsupported3
Categorical10
Text5

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),축산업무구분명,축산물가공업구분명,축산일련번호,권리주체일련번호,총인원
Author서울특별시
URLhttps://data.seoul.go.kr/dataList/OA-16073/S/1/datasetView.do

Alerts

인허가취소일자 has 1704 (100.0%) missing valuesMissing
폐업일자 has 737 (43.3%) missing valuesMissing
휴업시작일자 has 1684 (98.8%) missing valuesMissing
휴업종료일자 has 1691 (99.2%) missing valuesMissing
재개업일자 has 1697 (99.6%) missing valuesMissing
전화번호 has 874 (51.3%) missing valuesMissing
소재지우편번호 has 1704 (100.0%) missing valuesMissing
도로명주소 has 185 (10.9%) missing valuesMissing
도로명우편번호 has 576 (33.8%) missing valuesMissing
업태구분명 has 1704 (100.0%) missing valuesMissing
좌표정보(X) has 21 (1.2%) missing valuesMissing
좌표정보(Y) has 21 (1.2%) missing valuesMissing
소재지면적 is highly skewed (γ1 = 29.23288523)Skewed
관리번호 has unique valuesUnique
최종수정일자 has unique valuesUnique
인허가취소일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
소재지우편번호 is an unsupported type, check if it needs cleaning or further analysisUnsupported
업태구분명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
소재지면적 has 1401 (82.2%) zerosZeros

Reproduction

Analysis started2024-04-29 18:50:38.051854
Analysis finished2024-04-29 18:50:39.151289
Duration1.1 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Real number (ℝ)

Distinct25
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3091097.4
Minimum3000000
Maximum3240000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size15.1 KiB
2024-04-30T03:50:39.211442image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3000000
5-th percentile3030000
Q13030000
median3050000
Q33170000
95-th percentile3230000
Maximum3240000
Range240000
Interquartile range (IQR)140000

Descriptive statistics

Standard deviation75326.059
Coefficient of variation (CV)0.024368711
Kurtosis-0.95132896
Mean3091097.4
Median Absolute Deviation (MAD)20000
Skewness0.78018493
Sum5.26723 × 109
Variance5.6740152 × 109
MonotonicityNot monotonic
2024-04-30T03:50:39.321700image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%)
3030000 702
41.2%
3170000 127
 
7.5%
3230000 117
 
6.9%
3050000 107
 
6.3%
3060000 89
 
5.2%
3240000 66
 
3.9%
3150000 51
 
3.0%
3180000 47
 
2.8%
3090000 47
 
2.8%
3040000 36
 
2.1%
Other values (15) 315
18.5%
ValueCountFrequency (%)
3000000 7
 
0.4%
3010000 35
 
2.1%
3020000 12
 
0.7%
3030000 702
41.2%
3040000 36
 
2.1%
3050000 107
 
6.3%
3060000 89
 
5.2%
3070000 22
 
1.3%
3080000 22
 
1.3%
3090000 47
 
2.8%
ValueCountFrequency (%)
3240000 66
3.9%
3230000 117
6.9%
3220000 21
 
1.2%
3210000 26
 
1.5%
3200000 10
 
0.6%
3190000 18
 
1.1%
3180000 47
 
2.8%
3170000 127
7.5%
3160000 33
 
1.9%
3150000 51
3.0%

관리번호
Real number (ℝ)

UNIQUE 

Distinct1704
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.0910975 × 1017
Minimum3 × 1017
Maximum3.2400001 × 1017
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size15.1 KiB
2024-04-30T03:50:39.438070image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3 × 1017
5-th percentile3.03 × 1017
Q13.0300001 × 1017
median3.0500001 × 1017
Q33.17 × 1017
95-th percentile3.2300001 × 1017
Maximum3.2400001 × 1017
Range2.400001 × 1016
Interquartile range (IQR)1.399999 × 1016

Descriptive statistics

Standard deviation7.5326054 × 1015
Coefficient of variation (CV)0.024368709
Kurtosis-0.95132902
Mean3.0910975 × 1017
Median Absolute Deviation (MAD)2.00001 × 1015
Skewness0.78018489
Sum-8.2325672 × 1018
Variance5.6740144 × 1031
MonotonicityNot monotonic
2024-04-30T03:50:39.564402image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
315000010420190001 1
 
0.1%
313000010420160001 1
 
0.1%
313000010420140001 1
 
0.1%
313000010420120001 1
 
0.1%
312000010420120002 1
 
0.1%
312000010420120001 1
 
0.1%
312000000420090003 1
 
0.1%
312000000420090002 1
 
0.1%
312000000420070006 1
 
0.1%
312000000420070003 1
 
0.1%
Other values (1694) 1694
99.4%
ValueCountFrequency (%)
300000000420050001 1
0.1%
300000000420060001 1
0.1%
300000000420060003 1
0.1%
300000000420060006 1
0.1%
300000000420090001 1
0.1%
300000000420090002 1
0.1%
300000010420220001 1
0.1%
301000000420050002 1
0.1%
301000000420050003 1
0.1%
301000000420060001 1
0.1%
ValueCountFrequency (%)
324000010420220001 1
0.1%
324000010420200001 1
0.1%
324000010420190001 1
0.1%
324000010420180003 1
0.1%
324000010420180002 1
0.1%
324000010420180001 1
0.1%
324000010420170002 1
0.1%
324000010420170001 1
0.1%
324000010420160003 1
0.1%
324000010420160002 1
0.1%

인허가일자
Date

Distinct1305
Distinct (%)76.6%
Missing0
Missing (%)0.0%
Memory size13.4 KiB
Minimum1990-10-15 00:00:00
Maximum2024-04-23 00:00:00
2024-04-30T03:50:39.674234image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T03:50:39.783300image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1704
Missing (%)100.0%
Memory size15.1 KiB

영업상태코드
Categorical

Distinct4
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size13.4 KiB
3
931 
1
691 
4
 
62
2
 
20

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
3 931
54.6%
1 691
40.6%
4 62
 
3.6%
2 20
 
1.2%

Length

2024-04-30T03:50:39.893830image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T03:50:39.990749image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 931
54.6%
1 691
40.6%
4 62
 
3.6%
2 20
 
1.2%

영업상태명
Categorical

Distinct4
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size13.4 KiB
폐업
931 
영업/정상
691 
취소/말소/만료/정지/중지
 
62
휴업
 
20

Length

Max length14
Median length2
Mean length3.653169
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 931
54.6%
영업/정상 691
40.6%
취소/말소/만료/정지/중지 62
 
3.6%
휴업 20
 
1.2%

Length

2024-04-30T03:50:40.091741image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T03:50:40.189267image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 931
54.6%
영업/정상 691
40.6%
취소/말소/만료/정지/중지 62
 
3.6%
휴업 20
 
1.2%

상세영업상태코드
Categorical

Distinct5
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size13.4 KiB
2
931 
0
691 
4
 
48
1
 
20
3
 
14

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row2
3rd row2
4th row0
5th row0

Common Values

ValueCountFrequency (%)
2 931
54.6%
0 691
40.6%
4 48
 
2.8%
1 20
 
1.2%
3 14
 
0.8%

Length

2024-04-30T03:50:40.286706image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T03:50:40.374576image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2 931
54.6%
0 691
40.6%
4 48
 
2.8%
1 20
 
1.2%
3 14
 
0.8%

상세영업상태명
Categorical

Distinct5
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size13.4 KiB
폐업
931 
정상
691 
말소
 
48
휴업
 
20
행정처분
 
14

Length

Max length4
Median length2
Mean length2.0164319
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 931
54.6%
정상 691
40.6%
말소 48
 
2.8%
휴업 20
 
1.2%
행정처분 14
 
0.8%

Length

2024-04-30T03:50:40.474206image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T03:50:40.576412image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 931
54.6%
정상 691
40.6%
말소 48
 
2.8%
휴업 20
 
1.2%
행정처분 14
 
0.8%

폐업일자
Date

MISSING 

Distinct822
Distinct (%)85.0%
Missing737
Missing (%)43.3%
Memory size13.4 KiB
Minimum2004-11-19 00:00:00
Maximum2024-04-23 00:00:00
2024-04-30T03:50:40.671413image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T03:50:40.790386image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

휴업시작일자
Date

MISSING 

Distinct20
Distinct (%)100.0%
Missing1684
Missing (%)98.8%
Memory size13.4 KiB
Minimum2012-02-27 00:00:00
Maximum2024-03-29 00:00:00
2024-04-30T03:50:40.905526image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T03:50:41.011223image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=20)

휴업종료일자
Date

MISSING 

Distinct13
Distinct (%)100.0%
Missing1691
Missing (%)99.2%
Memory size13.4 KiB
Minimum2018-07-27 00:00:00
Maximum2030-03-29 00:00:00
2024-04-30T03:50:41.110436image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T03:50:41.208087image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=13)

재개업일자
Date

MISSING 

Distinct7
Distinct (%)100.0%
Missing1697
Missing (%)99.6%
Memory size13.4 KiB
Minimum2003-11-11 00:00:00
Maximum2022-07-25 00:00:00
2024-04-30T03:50:41.294625image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T03:50:41.371037image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)

전화번호
Text

MISSING 

Distinct793
Distinct (%)95.5%
Missing874
Missing (%)51.3%
Memory size13.4 KiB
2024-04-30T03:50:41.578824image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length22
Median length19
Mean length9.513253
Min length7

Characters and Unicode

Total characters7896
Distinct characters15
Distinct categories6 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique757 ?
Unique (%)91.2%

Sample

1st row2282-6176
2nd row2294-0354,2296-0744
3rd row02-941-1951
4th row3675-2580
5th row02-2081-5297
ValueCountFrequency (%)
02-3498-7855 3
 
0.4%
2644-4933 2
 
0.2%
965-1012 2
 
0.2%
2297-3800 2
 
0.2%
939-2155 2
 
0.2%
2654-9293 2
 
0.2%
832-2722 2
 
0.2%
02-2238-5542 2
 
0.2%
2238-5416 2
 
0.2%
02-6414-8251 2
 
0.2%
Other values (786) 813
97.5%
2024-04-30T03:50:41.942483image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 1300
16.5%
- 1076
13.6%
0 850
10.8%
9 724
9.2%
4 701
8.9%
3 622
7.9%
8 600
7.6%
6 548
6.9%
5 516
 
6.5%
1 479
 
6.1%
Other values (5) 480
 
6.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 6805
86.2%
Dash Punctuation 1076
 
13.6%
Other Punctuation 5
 
0.1%
Space Separator 4
 
0.1%
Math Symbol 3
 
< 0.1%
Close Punctuation 3
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 1300
19.1%
0 850
12.5%
9 724
10.6%
4 701
10.3%
3 622
9.1%
8 600
8.8%
6 548
8.1%
5 516
 
7.6%
1 479
 
7.0%
7 465
 
6.8%
Dash Punctuation
ValueCountFrequency (%)
- 1076
100.0%
Other Punctuation
ValueCountFrequency (%)
, 5
100.0%
Space Separator
ValueCountFrequency (%)
4
100.0%
Math Symbol
ValueCountFrequency (%)
~ 3
100.0%
Close Punctuation
ValueCountFrequency (%)
) 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 7896
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
2 1300
16.5%
- 1076
13.6%
0 850
10.8%
9 724
9.2%
4 701
8.9%
3 622
7.9%
8 600
7.6%
6 548
6.9%
5 516
 
6.5%
1 479
 
6.1%
Other values (5) 480
 
6.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 7896
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 1300
16.5%
- 1076
13.6%
0 850
10.8%
9 724
9.2%
4 701
8.9%
3 622
7.9%
8 600
7.6%
6 548
6.9%
5 516
 
6.5%
1 479
 
6.1%
Other values (5) 480
 
6.1%

소재지면적
Real number (ℝ)

SKEWED  ZEROS 

Distinct288
Distinct (%)16.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean36.946749
Minimum0
Maximum11236
Zeros1401
Zeros (%)82.2%
Negative0
Negative (%)0.0%
Memory size15.1 KiB
2024-04-30T03:50:42.084805image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile149.991
Maximum11236
Range11236
Interquartile range (IQR)0

Descriptive statistics

Standard deviation314.76714
Coefficient of variation (CV)8.5194814
Kurtosis983.26439
Mean36.946749
Median Absolute Deviation (MAD)0
Skewness29.232885
Sum62957.26
Variance99078.352
MonotonicityNot monotonic
2024-04-30T03:50:42.225908image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 1401
82.2%
50.4 3
 
0.2%
200.0 3
 
0.2%
60.0 3
 
0.2%
300.0 2
 
0.1%
56.0 2
 
0.1%
64.0 2
 
0.1%
76.0 2
 
0.1%
130.0 2
 
0.1%
104.0 2
 
0.1%
Other values (278) 282
 
16.5%
ValueCountFrequency (%)
0.0 1401
82.2%
13.5 1
 
0.1%
14.06 1
 
0.1%
15.0 1
 
0.1%
16.74 1
 
0.1%
19.38 1
 
0.1%
19.88 1
 
0.1%
20.25 1
 
0.1%
20.72 1
 
0.1%
27.0 1
 
0.1%
ValueCountFrequency (%)
11236.0 1
0.1%
5158.0 1
0.1%
1546.4 1
0.1%
1186.5 1
0.1%
1145.0 1
0.1%
1028.7 1
0.1%
962.0 1
0.1%
824.0 1
0.1%
793.5 1
0.1%
773.0 1
0.1%

소재지우편번호
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1704
Missing (%)100.0%
Memory size15.1 KiB

지번주소
Text

Distinct1597
Distinct (%)94.0%
Missing5
Missing (%)0.3%
Memory size13.4 KiB
2024-04-30T03:50:42.533241image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length55
Median length45
Mean length24.472042
Min length13

Characters and Unicode

Total characters41578
Distinct characters300
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1507 ?
Unique (%)88.7%

Sample

1st row서울특별시 강서구 화곡동 371-33 우성테마빌
2nd row서울특별시 성동구 마장동 781-9 1층
3rd row서울특별시 성동구 마장동 466-4 3층
4th row서울특별시 동대문구 제기동 892-94 1층
5th row서울특별시 성동구 마장동 466-4
ValueCountFrequency (%)
서울특별시 1704
21.1%
성동구 702
 
8.7%
마장동 637
 
7.9%
1층 365
 
4.5%
지하1층 155
 
1.9%
금천구 139
 
1.7%
송파구 117
 
1.4%
동대문구 107
 
1.3%
중랑구 89
 
1.1%
독산동 86
 
1.1%
Other values (1852) 3969
49.2%
2024-04-30T03:50:42.973806image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
7495
18.0%
동 2662
 
6.4%
1 2256
 
5.4%
서 1808
 
4.3%
구 1764
 
4.2%
시 1732
 
4.2%
울 1710
 
4.1%
특 1707
 
4.1%
별 1705
 
4.1%
- 1539
 
3.7%
Other values (290) 17200
41.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 23522
56.6%
Decimal Number 8694
 
20.9%
Space Separator 7495
 
18.0%
Dash Punctuation 1539
 
3.7%
Other Punctuation 170
 
0.4%
Uppercase Letter 55
 
0.1%
Open Punctuation 45
 
0.1%
Close Punctuation 45
 
0.1%
Lowercase Letter 9
 
< 0.1%
Math Symbol 4
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 2662
 
11.3%
서 1808
 
7.7%
구 1764
 
7.5%
시 1732
 
7.4%
울 1710
 
7.3%
특 1707
 
7.3%
별 1705
 
7.2%
지 1199
 
5.1%
번 855
 
3.6%
성 792
 
3.4%
Other values (253) 7588
32.3%
Decimal Number
ValueCountFrequency (%)
1 2256
25.9%
2 1043
12.0%
5 834
 
9.6%
3 792
 
9.1%
4 789
 
9.1%
0 712
 
8.2%
7 628
 
7.2%
6 598
 
6.9%
9 553
 
6.4%
8 489
 
5.6%
Uppercase Letter
ValueCountFrequency (%)
B 32
58.2%
A 7
 
12.7%
H 4
 
7.3%
N 4
 
7.3%
K 2
 
3.6%
S 2
 
3.6%
R 1
 
1.8%
C 1
 
1.8%
V 1
 
1.8%
M 1
 
1.8%
Lowercase Letter
ValueCountFrequency (%)
e 2
22.2%
h 1
11.1%
g 1
11.1%
b 1
11.1%
c 1
11.1%
n 1
11.1%
t 1
11.1%
r 1
11.1%
Other Punctuation
ValueCountFrequency (%)
, 166
97.6%
@ 2
 
1.2%
: 1
 
0.6%
. 1
 
0.6%
Space Separator
ValueCountFrequency (%)
7495
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1539
100.0%
Open Punctuation
ValueCountFrequency (%)
( 45
100.0%
Close Punctuation
ValueCountFrequency (%)
) 45
100.0%
Math Symbol
ValueCountFrequency (%)
~ 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 23522
56.6%
Common 17992
43.3%
Latin 64
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 2662
 
11.3%
서 1808
 
7.7%
구 1764
 
7.5%
시 1732
 
7.4%
울 1710
 
7.3%
특 1707
 
7.3%
별 1705
 
7.2%
지 1199
 
5.1%
번 855
 
3.6%
성 792
 
3.4%
Other values (253) 7588
32.3%
Common
ValueCountFrequency (%)
7495
41.7%
1 2256
 
12.5%
- 1539
 
8.6%
2 1043
 
5.8%
5 834
 
4.6%
3 792
 
4.4%
4 789
 
4.4%
0 712
 
4.0%
7 628
 
3.5%
6 598
 
3.3%
Other values (9) 1306
 
7.3%
Latin
ValueCountFrequency (%)
B 32
50.0%
A 7
 
10.9%
H 4
 
6.2%
N 4
 
6.2%
K 2
 
3.1%
e 2
 
3.1%
S 2
 
3.1%
h 1
 
1.6%
g 1
 
1.6%
R 1
 
1.6%
Other values (8) 8
 
12.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 23522
56.6%
ASCII 18056
43.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
7495
41.5%
1 2256
 
12.5%
- 1539
 
8.5%
2 1043
 
5.8%
5 834
 
4.6%
3 792
 
4.4%
4 789
 
4.4%
0 712
 
3.9%
7 628
 
3.5%
6 598
 
3.3%
Other values (27) 1370
 
7.6%
Hangul
ValueCountFrequency (%)
동 2662
 
11.3%
서 1808
 
7.7%
구 1764
 
7.5%
시 1732
 
7.4%
울 1710
 
7.3%
특 1707
 
7.3%
별 1705
 
7.2%
지 1199
 
5.1%
번 855
 
3.6%
성 792
 
3.4%
Other values (253) 7588
32.3%

도로명주소
Text

MISSING 

Distinct1390
Distinct (%)91.5%
Missing185
Missing (%)10.9%
Memory size13.4 KiB
2024-04-30T03:50:43.284887image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length74
Median length55
Mean length30.663594
Min length21

Characters and Unicode

Total characters46578
Distinct characters356
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1282 ?
Unique (%)84.4%

Sample

1st row서울특별시 강서구 가로공원로 196, 102호 (화곡동, 우성테마빌)
2nd row서울특별시 성동구 마장로44길 8-18, 1층 (마장동)
3rd row서울특별시 성동구 마장로29길 49, 3층 (마장동)
4th row서울특별시 동대문구 정릉천동로 120, 1층 (제기동)
5th row서울특별시 성동구 마장로29길 49, 3층 (마장동)
ValueCountFrequency (%)
서울특별시 1519
 
17.1%
성동구 661
 
7.4%
마장동 541
 
6.1%
1층 442
 
5.0%
지하1층 140
 
1.6%
금천구 126
 
1.4%
동대문구 104
 
1.2%
중랑구 85
 
1.0%
마장로31길 84
 
0.9%
독산동 73
 
0.8%
Other values (1683) 5120
57.6%
2024-04-30T03:50:43.889114image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
7380
 
15.8%
동 2458
 
5.3%
1 2389
 
5.1%
서 1643
 
3.5%
구 1591
 
3.4%
시 1590
 
3.4%
( 1549
 
3.3%
) 1549
 
3.3%
로 1547
 
3.3%
울 1533
 
3.3%
Other values (346) 23349
50.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 26798
57.5%
Decimal Number 7612
 
16.3%
Space Separator 7380
 
15.8%
Open Punctuation 1549
 
3.3%
Close Punctuation 1549
 
3.3%
Other Punctuation 1296
 
2.8%
Dash Punctuation 320
 
0.7%
Uppercase Letter 57
 
0.1%
Lowercase Letter 11
 
< 0.1%
Math Symbol 6
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 2458
 
9.2%
서 1643
 
6.1%
구 1591
 
5.9%
시 1590
 
5.9%
로 1547
 
5.8%
울 1533
 
5.7%
특 1525
 
5.7%
별 1523
 
5.7%
길 1202
 
4.5%
마 1025
 
3.8%
Other values (308) 11161
41.6%
Decimal Number
ValueCountFrequency (%)
1 2389
31.4%
2 1030
13.5%
3 958
12.6%
4 602
 
7.9%
5 561
 
7.4%
0 554
 
7.3%
6 410
 
5.4%
7 401
 
5.3%
9 377
 
5.0%
8 330
 
4.3%
Uppercase Letter
ValueCountFrequency (%)
B 34
59.6%
A 7
 
12.3%
H 4
 
7.0%
N 4
 
7.0%
K 2
 
3.5%
S 2
 
3.5%
M 1
 
1.8%
R 1
 
1.8%
D 1
 
1.8%
V 1
 
1.8%
Lowercase Letter
ValueCountFrequency (%)
e 2
18.2%
c 2
18.2%
r 2
18.2%
s 1
9.1%
k 1
9.1%
b 1
9.1%
t 1
9.1%
n 1
9.1%
Other Punctuation
ValueCountFrequency (%)
, 1289
99.5%
. 3
 
0.2%
@ 2
 
0.2%
/ 1
 
0.1%
: 1
 
0.1%
Space Separator
ValueCountFrequency (%)
7380
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1549
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1549
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 320
100.0%
Math Symbol
ValueCountFrequency (%)
~ 6
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 26798
57.5%
Common 19712
42.3%
Latin 68
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 2458
 
9.2%
서 1643
 
6.1%
구 1591
 
5.9%
시 1590
 
5.9%
로 1547
 
5.8%
울 1533
 
5.7%
특 1525
 
5.7%
별 1523
 
5.7%
길 1202
 
4.5%
마 1025
 
3.8%
Other values (308) 11161
41.6%
Common
ValueCountFrequency (%)
7380
37.4%
1 2389
 
12.1%
( 1549
 
7.9%
) 1549
 
7.9%
, 1289
 
6.5%
2 1030
 
5.2%
3 958
 
4.9%
4 602
 
3.1%
5 561
 
2.8%
0 554
 
2.8%
Other values (10) 1851
 
9.4%
Latin
ValueCountFrequency (%)
B 34
50.0%
A 7
 
10.3%
H 4
 
5.9%
N 4
 
5.9%
e 2
 
2.9%
c 2
 
2.9%
K 2
 
2.9%
S 2
 
2.9%
r 2
 
2.9%
s 1
 
1.5%
Other values (8) 8
 
11.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 26798
57.5%
ASCII 19780
42.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
7380
37.3%
1 2389
 
12.1%
( 1549
 
7.8%
) 1549
 
7.8%
, 1289
 
6.5%
2 1030
 
5.2%
3 958
 
4.8%
4 602
 
3.0%
5 561
 
2.8%
0 554
 
2.8%
Other values (28) 1919
 
9.7%
Hangul
ValueCountFrequency (%)
동 2458
 
9.2%
서 1643
 
6.1%
구 1591
 
5.9%
시 1590
 
5.9%
로 1547
 
5.8%
울 1533
 
5.7%
특 1525
 
5.7%
별 1523
 
5.7%
길 1202
 
4.5%
마 1025
 
3.8%
Other values (308) 11161
41.6%

도로명우편번호
Text

MISSING 

Distinct466
Distinct (%)41.3%
Missing576
Missing (%)33.8%
Memory size13.4 KiB
2024-04-30T03:50:44.069176image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length5
Mean length5.0070922
Min length5

Characters and Unicode

Total characters5648
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

Unique355 ?
Unique (%)31.5%

Sample

1st row07762
2nd row04757
3rd row04704
4th row02478
5th row04704
ValueCountFrequency (%)
04704 134
 
11.9%
04748 105
 
9.3%
04752 77
 
6.8%
04749 77
 
6.8%
04756 33
 
2.9%
04576 24
 
2.1%
08585 20
 
1.8%
04705 16
 
1.4%
04757 12
 
1.1%
04753 10
 
0.9%
Other values (456) 620
55.0%
2024-04-30T03:50:44.347456image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 1494
26.5%
4 1048
18.6%
7 799
14.1%
5 565
 
10.0%
2 402
 
7.1%
8 400
 
7.1%
6 268
 
4.7%
3 233
 
4.1%
1 222
 
3.9%
9 216
 
3.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 5647
> 99.9%
Dash Punctuation 1
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 1494
26.5%
4 1048
18.6%
7 799
14.1%
5 565
 
10.0%
2 402
 
7.1%
8 400
 
7.1%
6 268
 
4.7%
3 233
 
4.1%
1 222
 
3.9%
9 216
 
3.8%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 5648
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 1494
26.5%
4 1048
18.6%
7 799
14.1%
5 565
 
10.0%
2 402
 
7.1%
8 400
 
7.1%
6 268
 
4.7%
3 233
 
4.1%
1 222
 
3.9%
9 216
 
3.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 5648
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 1494
26.5%
4 1048
18.6%
7 799
14.1%
5 565
 
10.0%
2 402
 
7.1%
8 400
 
7.1%
6 268
 
4.7%
3 233
 
4.1%
1 222
 
3.9%
9 216
 
3.8%

사업장명
Text

Distinct1601
Distinct (%)94.0%
Missing0
Missing (%)0.0%
Memory size13.4 KiB
2024-04-30T03:50:44.562420image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length36
Median length18
Mean length6.7717136
Min length2

Characters and Unicode

Total characters11539
Distinct characters518
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1504 ?
Unique (%)88.3%

Sample

1st row(주)미트30
2nd row한우드림
3rd row(주)원광미트라인
4th row(주)동신축산
5th row(주)원광미트라인
ValueCountFrequency (%)
주식회사 155
 
7.8%
농업회사법인 30
 
1.5%
주 4
 
0.2%
food 3
 
0.2%
축산 3
 
0.2%
경란축산 3
 
0.2%
미트 3
 
0.2%
효창 3
 
0.2%
우하누 3
 
0.2%
주)태우그린푸드 3
 
0.2%
Other values (1634) 1766
89.4%
2024-04-30T03:50:44.912728image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 820
 
7.1%
( 635
 
5.5%
) 634
 
5.5%
산 389
 
3.4%
축 358
 
3.1%
드 297
 
2.6%
식 282
 
2.4%
272
 
2.4%
유 268
 
2.3%
푸 268
 
2.3%
Other values (508) 7316
63.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 9763
84.6%
Open Punctuation 635
 
5.5%
Close Punctuation 634
 
5.5%
Space Separator 272
 
2.4%
Uppercase Letter 135
 
1.2%
Decimal Number 37
 
0.3%
Lowercase Letter 33
 
0.3%
Other Punctuation 28
 
0.2%
Dash Punctuation 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 820
 
8.4%
산 389
 
4.0%
축 358
 
3.7%
드 297
 
3.0%
식 282
 
2.9%
유 268
 
2.7%
푸 268
 
2.7%
통 260
 
2.7%
우 251
 
2.6%
한 249
 
2.6%
Other values (456) 6321
64.7%
Uppercase Letter
ValueCountFrequency (%)
F 16
11.9%
C 13
9.6%
M 13
9.6%
B 13
9.6%
S 13
9.6%
K 12
8.9%
O 9
 
6.7%
P 8
 
5.9%
J 7
 
5.2%
A 5
 
3.7%
Other values (9) 26
19.3%
Lowercase Letter
ValueCountFrequency (%)
o 6
18.2%
e 5
15.2%
t 4
12.1%
d 3
9.1%
a 3
9.1%
n 2
 
6.1%
u 2
 
6.1%
r 1
 
3.0%
m 1
 
3.0%
p 1
 
3.0%
Other values (5) 5
15.2%
Decimal Number
ValueCountFrequency (%)
1 7
18.9%
8 6
16.2%
2 6
16.2%
3 6
16.2%
0 3
8.1%
6 2
 
5.4%
9 2
 
5.4%
7 2
 
5.4%
4 2
 
5.4%
5 1
 
2.7%
Other Punctuation
ValueCountFrequency (%)
& 15
53.6%
. 10
35.7%
? 2
 
7.1%
# 1
 
3.6%
Open Punctuation
ValueCountFrequency (%)
( 635
100.0%
Close Punctuation
ValueCountFrequency (%)
) 634
100.0%
Space Separator
ValueCountFrequency (%)
272
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 9763
84.6%
Common 1608
 
13.9%
Latin 168
 
1.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 820
 
8.4%
산 389
 
4.0%
축 358
 
3.7%
드 297
 
3.0%
식 282
 
2.9%
유 268
 
2.7%
푸 268
 
2.7%
통 260
 
2.7%
우 251
 
2.6%
한 249
 
2.6%
Other values (456) 6321
64.7%
Latin
ValueCountFrequency (%)
F 16
 
9.5%
C 13
 
7.7%
M 13
 
7.7%
B 13
 
7.7%
S 13
 
7.7%
K 12
 
7.1%
O 9
 
5.4%
P 8
 
4.8%
J 7
 
4.2%
o 6
 
3.6%
Other values (24) 58
34.5%
Common
ValueCountFrequency (%)
( 635
39.5%
) 634
39.4%
272
16.9%
& 15
 
0.9%
. 10
 
0.6%
1 7
 
0.4%
8 6
 
0.4%
2 6
 
0.4%
3 6
 
0.4%
0 3
 
0.2%
Other values (8) 14
 
0.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 9762
84.6%
ASCII 1776
 
15.4%
Compat Jamo 1
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 820
 
8.4%
산 389
 
4.0%
축 358
 
3.7%
드 297
 
3.0%
식 282
 
2.9%
유 268
 
2.7%
푸 268
 
2.7%
통 260
 
2.7%
우 251
 
2.6%
한 249
 
2.6%
Other values (455) 6320
64.7%
ASCII
ValueCountFrequency (%)
( 635
35.8%
) 634
35.7%
272
15.3%
F 16
 
0.9%
& 15
 
0.8%
C 13
 
0.7%
M 13
 
0.7%
B 13
 
0.7%
S 13
 
0.7%
K 12
 
0.7%
Other values (42) 140
 
7.9%
Compat Jamo
ValueCountFrequency (%)
ㆍ 1
100.0%

최종수정일자
Date

UNIQUE 

Distinct1704
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size13.4 KiB
Minimum2004-12-23 11:21:20
Maximum2024-04-25 17:52:37
2024-04-30T03:50:45.045567image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T03:50:45.151625image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

데이터갱신구분
Categorical

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size13.4 KiB
U
876 
I
828 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
U 876
51.4%
I 828
48.6%

Length

2024-04-30T03:50:45.255316image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T03:50:45.346160image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
u 876
51.4%
i 828
48.6%

데이터갱신일자
Date

Distinct542
Distinct (%)31.8%
Missing0
Missing (%)0.0%
Memory size13.4 KiB
Minimum2018-08-31 23:59:59
Maximum2023-12-04 00:05:00
2024-04-30T03:50:45.436830image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T03:50:45.554892image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1704
Missing (%)100.0%
Memory size15.1 KiB

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct1192
Distinct (%)70.8%
Missing21
Missing (%)1.2%
Infinite0
Infinite (%)0.0%
Mean201790.92
Minimum182830.37
Maximum215149.29
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size15.1 KiB
2024-04-30T03:50:45.682782image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum182830.37
5-th percentile189438.49
Q1201769.1
median203324.16
Q3204496.56
95-th percentile211572.23
Maximum215149.29
Range32318.918
Interquartile range (IQR)2727.466

Descriptive statistics

Standard deviation6731.5642
Coefficient of variation (CV)0.033359103
Kurtosis0.25072554
Mean201790.92
Median Absolute Deviation (MAD)1421.9907
Skewness-0.88712867
Sum3.3961412 × 108
Variance45313956
MonotonicityNot monotonic
2024-04-30T03:50:45.806418image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
203563.745183854 13
 
0.8%
203340.811443367 13
 
0.8%
203689.261216457 12
 
0.7%
203481.881882663 10
 
0.6%
203576.594691866 9
 
0.5%
203398.210134055 8
 
0.5%
203335.294724706 8
 
0.5%
203491.829329751 7
 
0.4%
203357.749238279 7
 
0.4%
203558.966603071 7
 
0.4%
Other values (1182) 1589
93.3%
(Missing) 21
 
1.2%
ValueCountFrequency (%)
182830.370717987 1
0.1%
182910.321027025 1
0.1%
182912.435007001 1
0.1%
183104.683616607 1
0.1%
183117.281621173 1
0.1%
183214.010884834 1
0.1%
183311.359819791 2
0.1%
183398.86411064 1
0.1%
183439.821678848 2
0.1%
183449.691708771 1
0.1%
ValueCountFrequency (%)
215149.288222193 1
0.1%
215137.810171285 1
0.1%
215129.842193761 1
0.1%
214973.32588151 1
0.1%
214888.465504117 1
0.1%
213751.225969745 1
0.1%
213735.767905031 1
0.1%
213702.581702681 1
0.1%
213660.978068863 1
0.1%
213582.043238143 2
0.1%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct1193
Distinct (%)70.9%
Missing21
Missing (%)1.2%
Infinite0
Infinite (%)0.0%
Mean450298.38
Minimum436946.36
Maximum464725.2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size15.1 KiB
2024-04-30T03:50:45.919900image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum436946.36
5-th percentile440970.32
Q1447761.13
median451820.97
Q3452063.13
95-th percentile458322.03
Maximum464725.2
Range27778.844
Interquartile range (IQR)4302.005

Descriptive statistics

Standard deviation4935.7077
Coefficient of variation (CV)0.010960971
Kurtosis0.30403857
Mean450298.38
Median Absolute Deviation (MAD)1292.8528
Skewness-0.26554482
Sum7.5785217 × 108
Variance24361210
MonotonicityNot monotonic
2024-04-30T03:50:46.042462image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
451839.483586888 13
 
0.8%
451999.051116446 13
 
0.8%
451908.86237999 12
 
0.7%
452082.819550985 10
 
0.6%
452041.559037331 9
 
0.5%
451982.297034715 8
 
0.5%
451972.103864063 8
 
0.5%
452016.32310438 7
 
0.4%
451987.097130954 7
 
0.4%
451823.651162763 7
 
0.4%
Other values (1183) 1589
93.3%
(Missing) 21
 
1.2%
ValueCountFrequency (%)
436946.358720615 1
 
0.1%
437151.964988874 2
0.1%
437201.219526812 1
 
0.1%
438390.455865698 1
 
0.1%
438693.72165701 1
 
0.1%
438701.205634976 3
0.2%
438704.249146072 1
 
0.1%
438709.562794345 1
 
0.1%
438737.634735345 1
 
0.1%
438764.469476098 1
 
0.1%
ValueCountFrequency (%)
464725.202550965 1
0.1%
464139.818411299 1
0.1%
464134.681988189 1
0.1%
463916.564720703 1
0.1%
463892.861101303 1
0.1%
463537.607226883 1
0.1%
463497.743108089 1
0.1%
463451.637795491 1
0.1%
463426.615582528 1
0.1%
463382.6488388 1
0.1%

축산업무구분명
Categorical

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size13.4 KiB
식육포장처리업
1180 
<NA>
524 

Length

Max length7
Median length7
Mean length6.0774648
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 (%)
식육포장처리업 1180
69.2%
<NA> 524
30.8%

Length

2024-04-30T03:50:46.152739image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T03:50:46.245732image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
식육포장처리업 1180
69.2%
na 524
30.8%

축산물가공업구분명
Categorical

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size13.4 KiB
식육포장처리업
1180 
<NA>
524 

Length

Max length7
Median length7
Mean length6.0774648
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 (%)
식육포장처리업 1180
69.2%
<NA> 524
30.8%

Length

2024-04-30T03:50:46.342975image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T03:50:46.430554image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
식육포장처리업 1180
69.2%
na 524
30.8%

축산일련번호
Categorical

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size13.4 KiB
<NA>
1424 
0
280 

Length

Max length4
Median length4
Mean length3.5070423
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> 1424
83.6%
0 280
 
16.4%

Length

2024-04-30T03:50:46.517333image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T03:50:46.608087image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 1424
83.6%
0 280
 
16.4%

권리주체일련번호
Categorical

Distinct4
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size13.4 KiB
000
667 
<NA>
525 
L00
511 
F00
 
1

Length

Max length4
Median length3
Mean length3.3080986
Min length3

Unique

Unique1 ?
Unique (%)0.1%

Sample

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

Common Values

ValueCountFrequency (%)
000 667
39.1%
<NA> 525
30.8%
L00 511
30.0%
F00 1
 
0.1%

Length

2024-04-30T03:50:46.700655image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T03:50:46.800910image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
000 667
39.1%
na 525
30.8%
l00 511
30.0%
f00 1
 
0.1%

총인원
Categorical

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size13.4 KiB
<NA>
1424 
0
280 

Length

Max length4
Median length4
Mean length3.5070423
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> 1424
83.6%
0 280
 
16.4%

Length

2024-04-30T03:50:46.912668image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T03:50:47.009941image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 1424
83.6%
0 280
 
16.4%

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)축산업무구분명축산물가공업구분명축산일련번호권리주체일련번호총인원
031500003150000104201900012019-05-23<NA>1영업/정상0정상<NA><NA><NA><NA><NA>0.0<NA>서울특별시 강서구 화곡동 371-33 우성테마빌서울특별시 강서구 가로공원로 196, 102호 (화곡동, 우성테마빌)07762(주)미트302023-03-02 10:47:00U2022-12-03 00:04:00.0<NA>185586.777988448312.700883<NA><NA><NA><NA><NA>
130300003030000104201500262015-06-05<NA>3폐업2폐업2023-02-28<NA><NA><NA><NA>0.0<NA>서울특별시 성동구 마장동 781-9 1층서울특별시 성동구 마장로44길 8-18, 1층 (마장동)04757한우드림2023-03-02 09:31:10U2022-12-03 00:04:00.0<NA>203920.469422451585.180294<NA><NA><NA><NA><NA>
230300003030000104201500162015-04-23<NA>3폐업2폐업2023-03-02<NA><NA><NA><NA>0.0<NA>서울특별시 성동구 마장동 466-4 3층서울특별시 성동구 마장로29길 49, 3층 (마장동)04704(주)원광미트라인2023-03-02 16:19:35U2022-12-03 00:04:00.0<NA>203185.350733452028.85045<NA><NA><NA><NA><NA>
330500003050000104202300012010-07-13<NA>1영업/정상0정상<NA><NA><NA><NA>2282-61760.0<NA>서울특별시 동대문구 제기동 892-94 1층서울특별시 동대문구 정릉천동로 120, 1층 (제기동)02478(주)동신축산2023-03-02 10:35:26I2022-12-03 00:04:00.0<NA>203132.892503453412.412821<NA><NA><NA><NA><NA>
430300003030000004200500412005-12-01<NA>1영업/정상0정상<NA><NA><NA><NA>2294-0354,2296-07440.0<NA>서울특별시 성동구 마장동 466-4서울특별시 성동구 마장로29길 49, 3층 (마장동)04704(주)원광미트라인2023-03-02 17:57:02U2022-12-03 00:04:00.0<NA>203185.350733452028.85045<NA><NA><NA><NA><NA>
530300003030000104202200082022-05-26<NA>1영업/정상0정상<NA><NA><NA><NA><NA>0.0<NA>서울특별시 성동구 마장동 465-27 1층서울특별시 성동구 청계천로10가길 64-3, 1층 (마장동)04704채음한우2023-04-11 13:33:15U2022-12-03 23:03:00.0<NA>203088.661191452108.522149<NA><NA><NA><NA><NA>
632400003240000004200700052007-05-15<NA>1영업/정상0정상<NA><NA><NA><NA><NA>0.0<NA>서울특별시 강동구 길동 339-3 지하1층 B102호서울특별시 강동구 양재대로124길 40(길동)05303대성식품2023-03-07 12:40:30U2022-12-03 00:09:00.0<NA>212674.543179448936.755394<NA><NA><NA><NA><NA>
730300003030000104201000202010-11-09<NA>3폐업2폐업2023-03-08<NA><NA><NA><NA>0.0<NA>서울특별시 성동구 마장동 513-37 1층서울특별시 성동구 마장로31길 22-1 (마장동,1층)<NA>(주)우성축산유통2023-03-08 17:26:28U2022-12-02 23:00:00.0<NA>203283.313393451781.653517<NA><NA><NA><NA><NA>
830000003000000004200900012009-03-23<NA>3폐업2폐업2023-10-17<NA><NA><NA><NA>33.0<NA>서울특별시 종로구 충신동 57-4 순흥빌딩서울특별시 종로구 율곡로 232, 102호 (충신동)03123강원미트2023-10-17 13:31:52U2022-10-30 23:09:00.0<NA>200314.703275452601.315134<NA><NA><NA><NA><NA>
930700003070000004200600052006-11-24<NA>1영업/정상0정상<NA><NA><NA><NA>02-941-1951178.88<NA>서울특별시 성북구 종암동 3-6서울특별시 성북구 월곡로10길 60(종암동)02795(주)한영디엔씨2023-03-09 16:51:05U2022-12-02 23:01:00.0<NA>203485.501233455006.991252<NA><NA><NA><NA><NA>
개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)축산업무구분명축산물가공업구분명축산일련번호권리주체일련번호총인원
1694317000031700000042006000820060322<NA>4취소/말소/만료/정지/중지4말소20220429<NA><NA><NA>02-804-69000.0<NA>서울특별시 금천구 독산동 292-14서울특별시 금천구 범안로21길 14 (독산동)<NA>(주)미락축산물센터2022-04-29 09:20:02U2021-12-05 00:03:00.0<NA>190792.621407440576.779296<NA><NA><NA><NA><NA>
1695303000030300001042014000720140226<NA>1영업/정상0정상<NA><NA><NA><NA><NA>0.0<NA>서울특별시 성동구 마장동 511-3 지하1층,1층서울특별시 성동구 고산자로22길 13-1, 지하1층,1층 (마장동)04748농가축산 주식회사2022-05-13 15:24:03U2021-12-04 23:05:00.0<NA>203368.925485451869.945616<NA><NA><NA><NA><NA>
1696321000032100001042012000120120102<NA>4취소/말소/만료/정지/중지4말소20220404<NA><NA><NA>512-96310.0<NA>서울특별시 서초구 잠원동서울특별시 서초구 강남대로101안길 32 (잠원동, 용신빌딩 B101호 )06525(주)피케이케이컴퍼니2022-05-13 16:56:45U2021-12-04 23:05:00.0<NA>201433.422472445988.430075<NA><NA><NA><NA><NA>
1697309000030900001042011000320110728<NA>1영업/정상0정상<NA><NA><NA><NA>995-55600.0<NA>서울특별시 도봉구 창동 593-2서울특별시 도봉구 도봉로104길 96 (창동)01463(주)하림(서울축산물센터)2022-05-13 15:17:38U2021-12-04 23:05:00.0<NA>203218.942374460135.037623<NA><NA><NA><NA><NA>
1698311000031100001042016000320161216<NA>1영업/정상0정상<NA><NA><NA>2022072502-387-77100.0<NA>서울특별시 은평구 신사동 39-3 1층 일부서울특별시 은평구 가좌로 299 (신사동)03441진성그린푸드2022-08-05 11:05:48U2021-12-08 00:07:00.0<NA>192087.715589454696.436368<NA><NA><NA><NA><NA>
1699303000030300001042018001920180912<NA>1영업/정상0정상<NA><NA><NA><NA><NA>0.0<NA>서울특별시 성동구 마장동 465-5 1층서울특별시 성동구 청계천로10가길 72-27, 1층 (마장동)04704(주)천하육가공2022-10-18 15:26:26U2021-10-30 22:00:00.0<NA>203155.587635452118.573751<NA><NA><NA><NA><NA>
1700303000030300000042006002020060412<NA>3폐업2폐업20221208<NA><NA><NA><NA>46.8<NA>서울특별시 성동구 마장동 481-32서울특별시 성동구 마장로35다길 12 (마장동)<NA>주식회사 영주축산2022-12-08 16:13:04U2021-11-01 23:00:00.0<NA>203511.269754451892.68959<NA><NA><NA><NA><NA>
170131800003180000104202100012021-10-21<NA>3폐업2폐업2023-11-08<NA><NA><NA>02-3488-405688.3<NA>서울특별시 영등포구 양평동3가 5-4 에이스 하이테크시티3 315호서울특별시 영등포구 선유로 130, 에이스 하이테크시티3 315호 (양평동3가)07255주식회사닥터송코리아2023-11-08 11:04:27U2022-10-31 23:00:00.0<NA>190325.849378447033.87348<NA><NA><NA><NA><NA>
170231900003190000104201500022015-11-05<NA>1영업/정상0정상<NA><NA><NA><NA>02-6339-77410.0<NA>서울특별시 동작구 사당동 309-3 1층서울특별시 동작구 사당로16길 71, 1층 (사당동)07017주식회사 돈코리아2023-07-28 17:22:45U2022-12-06 21:00:00.0<NA>197443.325177442045.629562<NA><NA><NA><NA><NA>
170330300003030000104201500252015-06-05<NA>1영업/정상0정상<NA><NA><NA><NA><NA>0.0<NA>서울특별시 성동구 마장동 510-36 지하1층서울특별시 성동구 마장로33길 41, 지하1층 (마장동)04748키다리유통2023-08-29 15:36:54U2022-12-07 21:01:00.0<NA>203403.873925451909.863026<NA><NA><NA><NA><NA>