Overview

Dataset statistics

Number of variables30
Number of observations1508
Missing cells9041
Missing cells (%)20.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory369.8 KiB
Average record size in memory251.1 B

Variable types

Numeric6
DateTime7
Unsupported2
Categorical11
Text4

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-16072/S/1/datasetView.do

Alerts

상세영업상태코드 is highly imbalanced (57.6%)Imbalance
상세영업상태명 is highly imbalanced (57.6%)Imbalance
업태구분명 is highly imbalanced (74.2%)Imbalance
인허가취소일자 has 1508 (100.0%) missing valuesMissing
폐업일자 has 325 (21.6%) missing valuesMissing
휴업시작일자 has 1488 (98.7%) missing valuesMissing
휴업종료일자 has 1495 (99.1%) missing valuesMissing
재개업일자 has 1108 (73.5%) missing valuesMissing
전화번호 has 556 (36.9%) missing valuesMissing
소재지우편번호 has 1508 (100.0%) missing valuesMissing
도로명주소 has 244 (16.2%) missing valuesMissing
도로명우편번호 has 747 (49.5%) missing valuesMissing
좌표정보(X) has 25 (1.7%) missing valuesMissing
좌표정보(Y) has 25 (1.7%) missing valuesMissing
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
소재지면적 has 1007 (66.8%) zerosZeros

Reproduction

Analysis started2024-04-29 18:50:24.035709
Analysis finished2024-04-29 18:50:25.244504
Duration1.21 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Real number (ℝ)

Distinct25
Distinct (%)1.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3118839.5
Minimum3000000
Maximum3240000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size13.4 KiB
2024-04-30T03:50:25.305375image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3000000
5-th percentile3010000
Q13040000
median3110000
Q33180000
95-th percentile3240000
Maximum3240000
Range240000
Interquartile range (IQR)140000

Descriptive statistics

Standard deviation77703.728
Coefficient of variation (CV)0.024914308
Kurtosis-1.4229669
Mean3118839.5
Median Absolute Deviation (MAD)70000
Skewness0.11723816
Sum4.70321 × 109
Variance6.0378694 × 109
MonotonicityNot monotonic
2024-04-30T03:50:25.405314image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%)
3030000 211
 
14.0%
3230000 137
 
9.1%
3170000 130
 
8.6%
3010000 97
 
6.4%
3240000 80
 
5.3%
3050000 71
 
4.7%
3060000 69
 
4.6%
3090000 65
 
4.3%
3180000 60
 
4.0%
3150000 53
 
3.5%
Other values (15) 535
35.5%
ValueCountFrequency (%)
3000000 15
 
1.0%
3010000 97
6.4%
3020000 27
 
1.8%
3030000 211
14.0%
3040000 39
 
2.6%
3050000 71
 
4.7%
3060000 69
 
4.6%
3070000 46
 
3.1%
3080000 45
 
3.0%
3090000 65
 
4.3%
ValueCountFrequency (%)
3240000 80
5.3%
3230000 137
9.1%
3220000 49
 
3.2%
3210000 41
 
2.7%
3200000 28
 
1.9%
3190000 28
 
1.9%
3180000 60
4.0%
3170000 130
8.6%
3160000 40
 
2.7%
3150000 53
 
3.5%

관리번호
Real number (ℝ)

UNIQUE 

Distinct1508
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.1188395 × 1017
Minimum3 × 1017
Maximum3.24 × 1017
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size13.4 KiB
2024-04-30T03:50:25.521073image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3 × 1017
5-th percentile3.01 × 1017
Q13.04 × 1017
median3.11 × 1017
Q33.18 × 1017
95-th percentile3.24 × 1017
Maximum3.24 × 1017
Range2.4 × 1016
Interquartile range (IQR)1.4 × 1016

Descriptive statistics

Standard deviation7.7703728 × 1015
Coefficient of variation (CV)0.024914308
Kurtosis-1.4229669
Mean3.1188395 × 1017
Median Absolute Deviation (MAD)7 × 1015
Skewness0.11723816
Sum9.1523988 × 1018
Variance6.0378694 × 1031
MonotonicityNot monotonic
2024-04-30T03:50:25.664571image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
321000000420210001 1
 
0.1%
317000000419980002 1
 
0.1%
317000000420060009 1
 
0.1%
317000000420070004 1
 
0.1%
317000000420060026 1
 
0.1%
317000000420060025 1
 
0.1%
317000000420060020 1
 
0.1%
317000000420010001 1
 
0.1%
317000000420000003 1
 
0.1%
317000000420000002 1
 
0.1%
Other values (1498) 1498
99.3%
ValueCountFrequency (%)
300000000420010001 1
0.1%
300000000420030001 1
0.1%
300000000420040001 1
0.1%
300000000420060002 1
0.1%
300000000420060004 1
0.1%
300000000420060005 1
0.1%
300000000420110001 1
0.1%
300000000420140001 1
0.1%
300000000420140002 1
0.1%
300000000420140003 1
0.1%
ValueCountFrequency (%)
324000000420210001 1
0.1%
324000000420200001 1
0.1%
324000000420190002 1
0.1%
324000000420190001 1
0.1%
324000000420180002 1
0.1%
324000000420180001 1
0.1%
324000000420170003 1
0.1%
324000000420170002 1
0.1%
324000000420170001 1
0.1%
324000000420160001 1
0.1%

인허가일자
Date

Distinct1222
Distinct (%)81.0%
Missing0
Missing (%)0.0%
Memory size11.9 KiB
Minimum1966-06-20 00:00:00
Maximum2024-03-26 00:00:00
2024-04-30T03:50:25.831122image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T03:50:25.976434image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1508
Missing (%)100.0%
Memory size13.4 KiB

영업상태코드
Categorical

Distinct4
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size11.9 KiB
3
1141 
1
269 
4
 
80
2
 
18

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
3 1141
75.7%
1 269
 
17.8%
4 80
 
5.3%
2 18
 
1.2%

Length

2024-04-30T03:50:26.106406image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T03:50:26.202638image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 1141
75.7%
1 269
 
17.8%
4 80
 
5.3%
2 18
 
1.2%

영업상태명
Categorical

Distinct4
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size11.9 KiB
폐업
1141 
영업/정상
269 
취소/말소/만료/정지/중지
 
80
휴업
 
18

Length

Max length14
Median length2
Mean length3.1717507
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 1141
75.7%
영업/정상 269
 
17.8%
취소/말소/만료/정지/중지 80
 
5.3%
휴업 18
 
1.2%

Length

2024-04-30T03:50:26.306894image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T03:50:26.412080image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 1141
75.7%
영업/정상 269
 
17.8%
취소/말소/만료/정지/중지 80
 
5.3%
휴업 18
 
1.2%

상세영업상태코드
Categorical

IMBALANCE 

Distinct6
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size11.9 KiB
0002
1141 
0000
268 
0004
 
63
0001
 
18
0003
 
17

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique1 ?
Unique (%)0.1%

Sample

1st row0000
2nd row0002
3rd row0000
4th row0000
5th row0000

Common Values

ValueCountFrequency (%)
0002 1141
75.7%
0000 268
 
17.8%
0004 63
 
4.2%
0001 18
 
1.2%
0003 17
 
1.1%
BBBB 1
 
0.1%

Length

2024-04-30T03:50:26.509613image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T03:50:26.600234image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0002 1141
75.7%
0000 268
 
17.8%
0004 63
 
4.2%
0001 18
 
1.2%
0003 17
 
1.1%
bbbb 1
 
0.1%

상세영업상태명
Categorical

IMBALANCE 

Distinct6
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size11.9 KiB
폐업
1141 
정상
268 
말소
 
63
휴업
 
18
행정처분
 
17

Length

Max length4
Median length2
Mean length2.0238727
Min length2

Unique

Unique1 ?
Unique (%)0.1%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 1141
75.7%
정상 268
 
17.8%
말소 63
 
4.2%
휴업 18
 
1.2%
행정처분 17
 
1.1%
<NA> 1
 
0.1%

Length

2024-04-30T03:50:26.713612image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T03:50:26.876184image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 1141
75.7%
정상 268
 
17.8%
말소 63
 
4.2%
휴업 18
 
1.2%
행정처분 17
 
1.1%
na 1
 
0.1%

폐업일자
Date

MISSING 

Distinct1010
Distinct (%)85.4%
Missing325
Missing (%)21.6%
Memory size11.9 KiB
Minimum1999-10-27 00:00:00
Maximum2024-04-25 00:00:00
2024-04-30T03:50:27.001544image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T03:50:27.117257image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

휴업시작일자
Date

MISSING 

Distinct20
Distinct (%)100.0%
Missing1488
Missing (%)98.7%
Memory size11.9 KiB
Minimum2005-01-01 00:00:00
Maximum2024-02-21 00:00:00
2024-04-30T03:50:27.235427image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T03:50:27.331244image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=20)

휴업종료일자
Date

MISSING 

Distinct13
Distinct (%)100.0%
Missing1495
Missing (%)99.1%
Memory size11.9 KiB
Minimum2005-06-30 00:00:00
Maximum2025-12-31 00:00:00
2024-04-30T03:50:27.422113image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T03:50:27.511967image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=13)

재개업일자
Date

MISSING 

Distinct340
Distinct (%)85.0%
Missing1108
Missing (%)73.5%
Memory size11.9 KiB
Minimum2010-08-12 00:00:00
Maximum2024-04-25 00:00:00
2024-04-30T03:50:27.617016image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T03:50:27.723637image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

전화번호
Text

MISSING 

Distinct913
Distinct (%)95.9%
Missing556
Missing (%)36.9%
Memory size11.9 KiB
2024-04-30T03:50:27.941701image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length19
Median length18
Mean length9.4789916
Min length7

Characters and Unicode

Total characters9024
Distinct characters16
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

Unique876 ?
Unique (%)92.0%

Sample

1st row02-941-1951
2nd row070-8801-3029
3rd row396-0239
4th row2670-6651
5th row02-6952-1582
ValueCountFrequency (%)
070-7522-4553 3
 
0.3%
832-2722 3
 
0.3%
937-5500 2
 
0.2%
401-1214 2
 
0.2%
02-997-8022 2
 
0.2%
305-9475 2
 
0.2%
426-7796 2
 
0.2%
2238-4476 2
 
0.2%
900-1119 2
 
0.2%
954-3352 2
 
0.2%
Other values (905) 934
97.7%
2024-04-30T03:50:28.309916image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 1323
14.7%
- 1247
13.8%
0 1000
11.1%
4 794
8.8%
3 779
8.6%
9 732
8.1%
6 675
7.5%
8 671
7.4%
1 608
6.7%
7 595
6.6%
Other values (6) 600
6.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 7753
85.9%
Dash Punctuation 1247
 
13.8%
Math Symbol 13
 
0.1%
Space Separator 4
 
< 0.1%
Other Punctuation 4
 
< 0.1%
Close Punctuation 3
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 1323
17.1%
0 1000
12.9%
4 794
10.2%
3 779
10.0%
9 732
9.4%
6 675
8.7%
8 671
8.7%
1 608
7.8%
7 595
7.7%
5 576
7.4%
Other Punctuation
ValueCountFrequency (%)
, 3
75.0%
/ 1
 
25.0%
Dash Punctuation
ValueCountFrequency (%)
- 1247
100.0%
Math Symbol
ValueCountFrequency (%)
~ 13
100.0%
Space Separator
ValueCountFrequency (%)
4
100.0%
Close Punctuation
ValueCountFrequency (%)
) 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 9024
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
2 1323
14.7%
- 1247
13.8%
0 1000
11.1%
4 794
8.8%
3 779
8.6%
9 732
8.1%
6 675
7.5%
8 671
7.4%
1 608
6.7%
7 595
6.6%
Other values (6) 600
6.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 9024
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 1323
14.7%
- 1247
13.8%
0 1000
11.1%
4 794
8.8%
3 779
8.6%
9 732
8.1%
6 675
7.5%
8 671
7.4%
1 608
6.7%
7 595
6.6%
Other values (6) 600
6.6%

소재지면적
Real number (ℝ)

ZEROS 

Distinct470
Distinct (%)31.2%
Missing2
Missing (%)0.1%
Infinite0
Infinite (%)0.0%
Mean62.949688
Minimum0
Maximum8503
Zeros1007
Zeros (%)66.8%
Negative0
Negative (%)0.0%
Memory size13.4 KiB
2024-04-30T03:50:28.430861image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q353.925
95-th percentile253.85
Maximum8503
Range8503
Interquartile range (IQR)53.925

Descriptive statistics

Standard deviation307.44439
Coefficient of variation (CV)4.8839701
Kurtosis442.04443
Mean62.949688
Median Absolute Deviation (MAD)0
Skewness18.571825
Sum94802.23
Variance94522.056
MonotonicityNot monotonic
2024-04-30T03:50:28.548341image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 1007
66.8%
36.0 3
 
0.2%
63.8 3
 
0.2%
83.3 3
 
0.2%
84.0 2
 
0.1%
47.12 2
 
0.1%
106.0 2
 
0.1%
138.0 2
 
0.1%
19.2 2
 
0.1%
138.8 2
 
0.1%
Other values (460) 478
31.7%
ValueCountFrequency (%)
0.0 1007
66.8%
5.0 1
 
0.1%
14.0 1
 
0.1%
14.06 1
 
0.1%
14.35 1
 
0.1%
17.34 1
 
0.1%
19.2 2
 
0.1%
21.22 1
 
0.1%
21.82 1
 
0.1%
22.44 1
 
0.1%
ValueCountFrequency (%)
8503.0 1
0.1%
5158.0 1
0.1%
3627.0 1
0.1%
2258.88 1
0.1%
1912.0 1
0.1%
1532.9 1
0.1%
1300.0 1
0.1%
1256.4 1
0.1%
1182.5 1
0.1%
1123.6 1
0.1%

소재지우편번호
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1508
Missing (%)100.0%
Memory size13.4 KiB

지번주소
Text

Distinct1433
Distinct (%)95.7%
Missing10
Missing (%)0.7%
Memory size11.9 KiB
2024-04-30T03:50:28.799495image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length66
Median length44
Mean length24.534045
Min length12

Characters and Unicode

Total characters36752
Distinct characters299
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

Unique1376 ?
Unique (%)91.9%

Sample

1st row서울특별시 서초구 반포동 94-14 성원빌딩
2nd row서울특별시 은평구 구산동 7-5 102호
3rd row서울특별시 성동구 마장동 511-4
4th row서울특별시 성북구 종암동 3-6
5th row서울특별시 동대문구 신설동 92-5
ValueCountFrequency (%)
서울특별시 1502
 
21.6%
성동구 211
 
3.0%
1층 178
 
2.6%
지하1층 169
 
2.4%
금천구 137
 
2.0%
송파구 137
 
2.0%
마장동 127
 
1.8%
중구 97
 
1.4%
황학동 82
 
1.2%
강동구 78
 
1.1%
Other values (1874) 4222
60.8%
2024-04-30T03:50:29.388661image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
6647
18.1%
동 1938
 
5.3%
1 1776
 
4.8%
서 1641
 
4.5%
구 1575
 
4.3%
시 1525
 
4.1%
울 1506
 
4.1%
특 1502
 
4.1%
별 1502
 
4.1%
지 1418
 
3.9%
Other values (289) 15722
42.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 21076
57.3%
Decimal Number 7522
 
20.5%
Space Separator 6647
 
18.1%
Dash Punctuation 1298
 
3.5%
Other Punctuation 84
 
0.2%
Close Punctuation 39
 
0.1%
Open Punctuation 39
 
0.1%
Uppercase Letter 34
 
0.1%
Lowercase Letter 10
 
< 0.1%
Math Symbol 3
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 1938
 
9.2%
서 1641
 
7.8%
구 1575
 
7.5%
시 1525
 
7.2%
울 1506
 
7.1%
특 1502
 
7.1%
별 1502
 
7.1%
지 1418
 
6.7%
번 1058
 
5.0%
층 572
 
2.7%
Other values (256) 6839
32.4%
Decimal Number
ValueCountFrequency (%)
1 1776
23.6%
2 966
12.8%
3 827
11.0%
0 705
 
9.4%
4 676
 
9.0%
5 629
 
8.4%
6 554
 
7.4%
7 485
 
6.4%
9 475
 
6.3%
8 429
 
5.7%
Uppercase Letter
ValueCountFrequency (%)
B 16
47.1%
A 6
 
17.6%
K 3
 
8.8%
S 3
 
8.8%
R 1
 
2.9%
H 1
 
2.9%
T 1
 
2.9%
P 1
 
2.9%
V 1
 
2.9%
C 1
 
2.9%
Lowercase Letter
ValueCountFrequency (%)
c 3
30.0%
e 2
20.0%
d 1
 
10.0%
n 1
 
10.0%
b 1
 
10.0%
r 1
 
10.0%
t 1
 
10.0%
Space Separator
ValueCountFrequency (%)
6647
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1298
100.0%
Other Punctuation
ValueCountFrequency (%)
, 84
100.0%
Close Punctuation
ValueCountFrequency (%)
) 39
100.0%
Open Punctuation
ValueCountFrequency (%)
( 39
100.0%
Math Symbol
ValueCountFrequency (%)
~ 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 21076
57.3%
Common 15632
42.5%
Latin 44
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 1938
 
9.2%
서 1641
 
7.8%
구 1575
 
7.5%
시 1525
 
7.2%
울 1506
 
7.1%
특 1502
 
7.1%
별 1502
 
7.1%
지 1418
 
6.7%
번 1058
 
5.0%
층 572
 
2.7%
Other values (256) 6839
32.4%
Latin
ValueCountFrequency (%)
B 16
36.4%
A 6
 
13.6%
K 3
 
6.8%
c 3
 
6.8%
S 3
 
6.8%
e 2
 
4.5%
R 1
 
2.3%
d 1
 
2.3%
n 1
 
2.3%
b 1
 
2.3%
Other values (7) 7
15.9%
Common
ValueCountFrequency (%)
6647
42.5%
1 1776
 
11.4%
- 1298
 
8.3%
2 966
 
6.2%
3 827
 
5.3%
0 705
 
4.5%
4 676
 
4.3%
5 629
 
4.0%
6 554
 
3.5%
7 485
 
3.1%
Other values (6) 1069
 
6.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 21076
57.3%
ASCII 15676
42.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
6647
42.4%
1 1776
 
11.3%
- 1298
 
8.3%
2 966
 
6.2%
3 827
 
5.3%
0 705
 
4.5%
4 676
 
4.3%
5 629
 
4.0%
6 554
 
3.5%
7 485
 
3.1%
Other values (23) 1113
 
7.1%
Hangul
ValueCountFrequency (%)
동 1938
 
9.2%
서 1641
 
7.8%
구 1575
 
7.5%
시 1525
 
7.2%
울 1506
 
7.1%
특 1502
 
7.1%
별 1502
 
7.1%
지 1418
 
6.7%
번 1058
 
5.0%
층 572
 
2.7%
Other values (256) 6839
32.4%

도로명주소
Text

MISSING 

Distinct1197
Distinct (%)94.7%
Missing244
Missing (%)16.2%
Memory size11.9 KiB
2024-04-30T03:50:29.674305image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length58
Median length53
Mean length29.638449
Min length21

Characters and Unicode

Total characters37463
Distinct characters384
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

Unique1140 ?
Unique (%)90.2%

Sample

1st row서울특별시 서초구 사평대로22길 5, 성원빌딩 지하1층 (반포동)
2nd row서울특별시 은평구 서오릉로11길 20-1, 102호 (구산동)
3rd row서울특별시 성동구 고산자로22길 13, 2층 (마장동)
4th row서울특별시 성북구 월곡로10길 60 (종암동)
5th row서울특별시 동대문구 하정로6길 14(신설동)
ValueCountFrequency (%)
서울특별시 1264
 
17.6%
1층 215
 
3.0%
성동구 184
 
2.6%
금천구 134
 
1.9%
지하1층 116
 
1.6%
마장동 94
 
1.3%
중구 92
 
1.3%
황학동 79
 
1.1%
퇴계로87길 79
 
1.1%
독산동 70
 
1.0%
Other values (1886) 4838
67.5%
2024-04-30T03:50:30.090541image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5905
 
15.8%
동 1686
 
4.5%
1 1637
 
4.4%
서 1435
 
3.8%
구 1354
 
3.6%
시 1334
 
3.6%
로 1302
 
3.5%
) 1293
 
3.5%
( 1293
 
3.5%
울 1279
 
3.4%
Other values (374) 18945
50.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 21903
58.5%
Space Separator 5905
 
15.8%
Decimal Number 5878
 
15.7%
Close Punctuation 1293
 
3.5%
Open Punctuation 1293
 
3.5%
Other Punctuation 863
 
2.3%
Dash Punctuation 257
 
0.7%
Uppercase Letter 53
 
0.1%
Lowercase Letter 13
 
< 0.1%
Math Symbol 5
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 1686
 
7.7%
서 1435
 
6.6%
구 1354
 
6.2%
시 1334
 
6.1%
로 1302
 
5.9%
울 1279
 
5.8%
특 1268
 
5.8%
별 1268
 
5.8%
길 949
 
4.3%
층 624
 
2.8%
Other values (335) 9404
42.9%
Uppercase Letter
ValueCountFrequency (%)
B 33
62.3%
A 4
 
7.5%
K 4
 
7.5%
S 3
 
5.7%
C 2
 
3.8%
H 1
 
1.9%
M 1
 
1.9%
D 1
 
1.9%
R 1
 
1.9%
V 1
 
1.9%
Other values (2) 2
 
3.8%
Decimal Number
ValueCountFrequency (%)
1 1637
27.8%
2 837
14.2%
3 643
 
10.9%
4 454
 
7.7%
5 441
 
7.5%
7 421
 
7.2%
6 419
 
7.1%
0 368
 
6.3%
8 344
 
5.9%
9 314
 
5.3%
Lowercase Letter
ValueCountFrequency (%)
c 4
30.8%
r 2
15.4%
e 2
15.4%
s 1
 
7.7%
k 1
 
7.7%
b 1
 
7.7%
n 1
 
7.7%
t 1
 
7.7%
Other Punctuation
ValueCountFrequency (%)
, 857
99.3%
. 4
 
0.5%
/ 1
 
0.1%
? 1
 
0.1%
Space Separator
ValueCountFrequency (%)
5905
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1293
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1293
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 257
100.0%
Math Symbol
ValueCountFrequency (%)
~ 5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 21903
58.5%
Common 15494
41.4%
Latin 66
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 1686
 
7.7%
서 1435
 
6.6%
구 1354
 
6.2%
시 1334
 
6.1%
로 1302
 
5.9%
울 1279
 
5.8%
특 1268
 
5.8%
별 1268
 
5.8%
길 949
 
4.3%
층 624
 
2.8%
Other values (335) 9404
42.9%
Latin
ValueCountFrequency (%)
B 33
50.0%
c 4
 
6.1%
A 4
 
6.1%
K 4
 
6.1%
S 3
 
4.5%
C 2
 
3.0%
r 2
 
3.0%
e 2
 
3.0%
H 1
 
1.5%
M 1
 
1.5%
Other values (10) 10
 
15.2%
Common
ValueCountFrequency (%)
5905
38.1%
1 1637
 
10.6%
) 1293
 
8.3%
( 1293
 
8.3%
, 857
 
5.5%
2 837
 
5.4%
3 643
 
4.1%
4 454
 
2.9%
5 441
 
2.8%
7 421
 
2.7%
Other values (9) 1713
 
11.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 21903
58.5%
ASCII 15560
41.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5905
37.9%
1 1637
 
10.5%
) 1293
 
8.3%
( 1293
 
8.3%
, 857
 
5.5%
2 837
 
5.4%
3 643
 
4.1%
4 454
 
2.9%
5 441
 
2.8%
7 421
 
2.7%
Other values (29) 1779
 
11.4%
Hangul
ValueCountFrequency (%)
동 1686
 
7.7%
서 1435
 
6.6%
구 1354
 
6.2%
시 1334
 
6.1%
로 1302
 
5.9%
울 1279
 
5.8%
특 1268
 
5.8%
별 1268
 
5.8%
길 949
 
4.3%
층 624
 
2.8%
Other values (335) 9404
42.9%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct500
Distinct (%)65.7%
Missing747
Missing (%)49.5%
Infinite0
Infinite (%)0.0%
Mean5538.1314
Minimum1004
Maximum134841
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size13.4 KiB
2024-04-30T03:50:30.210547image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1004
5-th percentile1452
Q13496
median4750
Q36688
95-th percentile8586
Maximum134841
Range133837
Interquartile range (IQR)3192

Descriptive statistics

Standard deviation8351.2708
Coefficient of variation (CV)1.5079582
Kurtosis217.0956
Mean5538.1314
Median Absolute Deviation (MAD)1436
Skewness14.26474
Sum4214518
Variance69743723
MonotonicityNot monotonic
2024-04-30T03:50:30.333535image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
4576 72
 
4.8%
4704 18
 
1.2%
4752 17
 
1.1%
4748 12
 
0.8%
8585 11
 
0.7%
4756 8
 
0.5%
4793 6
 
0.4%
8524 6
 
0.4%
8513 5
 
0.3%
8526 5
 
0.3%
Other values (490) 601
39.9%
(Missing) 747
49.5%
ValueCountFrequency (%)
1004 2
0.1%
1016 2
0.1%
1021 1
0.1%
1047 1
0.1%
1048 2
0.1%
1052 1
0.1%
1055 1
0.1%
1056 1
0.1%
1097 1
0.1%
1103 1
0.1%
ValueCountFrequency (%)
134841 1
0.1%
133050 1
0.1%
132928 1
0.1%
8865 1
0.1%
8852 1
0.1%
8744 1
0.1%
8727 1
0.1%
8719 1
0.1%
8706 1
0.1%
8654 1
0.1%

사업장명
Text

Distinct1413
Distinct (%)93.7%
Missing0
Missing (%)0.0%
Memory size11.9 KiB
2024-04-30T03:50:30.541417image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length36
Median length23
Mean length6.3965517
Min length2

Characters and Unicode

Total characters9646
Distinct characters594
Distinct categories9 ?
Distinct scripts4 ?
Distinct blocks5 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1326 ?
Unique (%)87.9%

Sample

1st row주식회사 오공삼
2nd row컨츄리유통
3rd row케이(top food)
4th row(주)한영디엔씨
5th row풍원
ValueCountFrequency (%)
주식회사 61
 
3.7%
농업회사법인 7
 
0.4%
푸드 6
 
0.4%
서울유통 4
 
0.2%
food 4
 
0.2%
피그뱅크 3
 
0.2%
대성푸드 3
 
0.2%
에이스뉴식품 3
 
0.2%
한국식품 3
 
0.2%
백운축산 3
 
0.2%
Other values (1473) 1568
94.2%
2024-04-30T03:50:30.858274image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 574
 
6.0%
) 505
 
5.2%
( 504
 
5.2%
드 333
 
3.5%
식 300
 
3.1%
푸 293
 
3.0%
품 209
 
2.2%
이 203
 
2.1%
스 183
 
1.9%
유 175
 
1.8%
Other values (584) 6367
66.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 8093
83.9%
Close Punctuation 505
 
5.2%
Open Punctuation 504
 
5.2%
Uppercase Letter 213
 
2.2%
Space Separator 158
 
1.6%
Lowercase Letter 118
 
1.2%
Other Punctuation 35
 
0.4%
Decimal Number 17
 
0.2%
Dash Punctuation 3
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 574
 
7.1%
드 333
 
4.1%
식 300
 
3.7%
푸 293
 
3.6%
품 209
 
2.6%
이 203
 
2.5%
스 183
 
2.3%
유 175
 
2.2%
통 161
 
2.0%
산 141
 
1.7%
Other values (524) 5521
68.2%
Uppercase Letter
ValueCountFrequency (%)
F 31
14.6%
C 18
 
8.5%
K 16
 
7.5%
S 16
 
7.5%
A 15
 
7.0%
B 14
 
6.6%
O 13
 
6.1%
J 12
 
5.6%
I 9
 
4.2%
P 8
 
3.8%
Other values (11) 61
28.6%
Lowercase Letter
ValueCountFrequency (%)
o 20
16.9%
a 15
12.7%
s 11
9.3%
e 10
 
8.5%
i 8
 
6.8%
d 7
 
5.9%
t 6
 
5.1%
r 5
 
4.2%
l 5
 
4.2%
p 5
 
4.2%
Other values (11) 26
22.0%
Other Punctuation
ValueCountFrequency (%)
& 19
54.3%
. 10
28.6%
; 2
 
5.7%
' 1
 
2.9%
？ 1
 
2.9%
/ 1
 
2.9%
? 1
 
2.9%
Decimal Number
ValueCountFrequency (%)
1 5
29.4%
0 3
17.6%
3 3
17.6%
2 2
 
11.8%
7 2
 
11.8%
9 1
 
5.9%
6 1
 
5.9%
Close Punctuation
ValueCountFrequency (%)
) 505
100.0%
Open Punctuation
ValueCountFrequency (%)
( 504
100.0%
Space Separator
ValueCountFrequency (%)
158
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 8092
83.9%
Common 1222
 
12.7%
Latin 331
 
3.4%
Han 1
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 574
 
7.1%
드 333
 
4.1%
식 300
 
3.7%
푸 293
 
3.6%
품 209
 
2.6%
이 203
 
2.5%
스 183
 
2.3%
유 175
 
2.2%
통 161
 
2.0%
산 141
 
1.7%
Other values (523) 5520
68.2%
Latin
ValueCountFrequency (%)
F 31
 
9.4%
o 20
 
6.0%
C 18
 
5.4%
K 16
 
4.8%
S 16
 
4.8%
A 15
 
4.5%
a 15
 
4.5%
B 14
 
4.2%
O 13
 
3.9%
J 12
 
3.6%
Other values (32) 161
48.6%
Common
ValueCountFrequency (%)
) 505
41.3%
( 504
41.2%
158
 
12.9%
& 19
 
1.6%
. 10
 
0.8%
1 5
 
0.4%
0 3
 
0.2%
- 3
 
0.2%
3 3
 
0.2%
; 2
 
0.2%
Other values (8) 10
 
0.8%
Han
ValueCountFrequency (%)
家 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 8091
83.9%
ASCII 1552
 
16.1%
None 1
 
< 0.1%
CJK 1
 
< 0.1%
Compat Jamo 1
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 574
 
7.1%
드 333
 
4.1%
식 300
 
3.7%
푸 293
 
3.6%
품 209
 
2.6%
이 203
 
2.5%
스 183
 
2.3%
유 175
 
2.2%
통 161
 
2.0%
산 141
 
1.7%
Other values (522) 5519
68.2%
ASCII
ValueCountFrequency (%)
) 505
32.5%
( 504
32.5%
158
 
10.2%
F 31
 
2.0%
o 20
 
1.3%
& 19
 
1.2%
C 18
 
1.2%
K 16
 
1.0%
S 16
 
1.0%
A 15
 
1.0%
Other values (49) 250
16.1%
None
ValueCountFrequency (%)
？ 1
100.0%
CJK
ValueCountFrequency (%)
家 1
100.0%
Compat Jamo
ValueCountFrequency (%)
ㆍ 1
100.0%

최종수정일자
Date

UNIQUE 

Distinct1508
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size11.9 KiB
Minimum2002-12-30 16:53:37
Maximum2024-04-25 17:46:09
2024-04-30T03:50:30.969398image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T03:50:31.082815image/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 size11.9 KiB
I
967 
U
541 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
I 967
64.1%
U 541
35.9%

Length

2024-04-30T03:50:31.196966image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T03:50:31.291539image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 967
64.1%
u 541
35.9%

데이터갱신일자
Date

Distinct413
Distinct (%)27.4%
Missing0
Missing (%)0.0%
Memory size11.9 KiB
Minimum2018-08-31 23:59:59
Maximum2023-12-03 22:07:00
2024-04-30T03:50:31.401156image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T03:50:31.539573image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업태구분명
Categorical

IMBALANCE 

Distinct3
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size11.9 KiB
식육가공업
1403 
유가공업
 
88
알가공업
 
17

Length

Max length5
Median length5
Mean length4.9303714
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
식육가공업 1403
93.0%
유가공업 88
 
5.8%
알가공업 17
 
1.1%

Length

2024-04-30T03:50:31.666421image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T03:50:31.767068image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
식육가공업 1403
93.0%
유가공업 88
 
5.8%
알가공업 17
 
1.1%

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct1274
Distinct (%)85.9%
Missing25
Missing (%)1.7%
Infinite0
Infinite (%)0.0%
Mean200682.58
Minimum182830.37
Maximum215174.68
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size13.4 KiB
2024-04-30T03:50:31.870693image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum182830.37
5-th percentile187080.07
Q1192995.54
median202965.7
Q3205853.42
95-th percentile211919.64
Maximum215174.68
Range32344.307
Interquartile range (IQR)12857.884

Descriptive statistics

Standard deviation7731.2317
Coefficient of variation (CV)0.038524679
Kurtosis-0.81697026
Mean200682.58
Median Absolute Deviation (MAD)4553.2187
Skewness-0.39836657
Sum2.9761226 × 108
Variance59771944
MonotonicityNot monotonic
2024-04-30T03:50:31.992153image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
203563.159730254 9
 
0.6%
205116.298634583 5
 
0.3%
191026.637157812 5
 
0.3%
190641.951025262 4
 
0.3%
194807.845295028 4
 
0.3%
187079.375126738 4
 
0.3%
210011.864651721 4
 
0.3%
203558.966603071 4
 
0.3%
190735.202947348 4
 
0.3%
189855.309927286 3
 
0.2%
Other values (1264) 1437
95.3%
(Missing) 25
 
1.7%
ValueCountFrequency (%)
182830.370717987 1
0.1%
182910.321027025 1
0.1%
182995.661327756 1
0.1%
183104.683616607 1
0.1%
183166.021987298 1
0.1%
183311.359819791 2
0.1%
183398.86411064 1
0.1%
183536.890888325 1
0.1%
183559.445629961 1
0.1%
183607.978934835 1
0.1%
ValueCountFrequency (%)
215174.677506758 1
0.1%
215137.810171285 1
0.1%
215129.842193761 1
0.1%
215077.214723678 1
0.1%
215073.592252889 1
0.1%
215033.880778399 1
0.1%
215018.445233962 1
0.1%
215005.468754114 1
0.1%
214990.052555942 1
0.1%
214973.32588151 1
0.1%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct1274
Distinct (%)85.9%
Missing25
Missing (%)1.7%
Infinite0
Infinite (%)0.0%
Mean449588.18
Minimum436946.36
Maximum464725.2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size13.4 KiB
2024-04-30T03:50:32.102735image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum436946.36
5-th percentile440872.16
Q1444574.99
median449871.52
Q3452221.26
95-th percentile460586.69
Maximum464725.2
Range27778.844
Interquartile range (IQR)7646.266

Descriptive statistics

Standard deviation5807.9402
Coefficient of variation (CV)0.012918356
Kurtosis-0.40273501
Mean449588.18
Median Absolute Deviation (MAD)4030.1438
Skewness0.31737402
Sum6.6673927 × 108
Variance33732169
MonotonicityNot monotonic
2024-04-30T03:50:32.219763image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
451952.656488398 9
 
0.6%
449289.354711172 5
 
0.3%
438701.205634976 5
 
0.3%
440592.30478192 4
 
0.3%
445901.413432497 4
 
0.3%
446116.629313272 4
 
0.3%
444115.896830881 4
 
0.3%
452063.134112732 4
 
0.3%
440588.586890064 4
 
0.3%
441540.894601732 3
 
0.2%
Other values (1264) 1437
95.3%
(Missing) 25
 
1.7%
ValueCountFrequency (%)
436946.358720615 2
 
0.1%
438356.170313032 1
 
0.1%
438390.455865698 1
 
0.1%
438501.776187315 1
 
0.1%
438693.72165701 1
 
0.1%
438701.205634976 5
0.3%
438878.890260179 1
 
0.1%
439017.110637925 2
 
0.1%
439029.823242263 2
 
0.1%
439155.134354676 1
 
0.1%
ValueCountFrequency (%)
464725.202550965 1
0.1%
464139.818411299 1
0.1%
464134.681988189 2
0.1%
464055.633691599 1
0.1%
463916.564720703 1
0.1%
463844.342415178 1
0.1%
463801.64757776 1
0.1%
463780.370456798 1
0.1%
463697.276459781 1
0.1%
463537.607226883 1
0.1%

축산업무구분명
Categorical

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size11.9 KiB
축산물가공업
1245 
<NA>
263 

Length

Max length6
Median length6
Mean length5.6511936
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 (%)
축산물가공업 1245
82.6%
<NA> 263
 
17.4%

Length

2024-04-30T03:50:32.336400image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T03:50:32.422762image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
축산물가공업 1245
82.6%
na 263
 
17.4%

축산물가공업구분명
Categorical

Distinct4
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size11.9 KiB
식육가공업
1157 
<NA>
263 
유가공업
 
72
알가공업
 
16

Length

Max length5
Median length5
Mean length4.7672414
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 (%)
식육가공업 1157
76.7%
<NA> 263
 
17.4%
유가공업 72
 
4.8%
알가공업 16
 
1.1%

Length

2024-04-30T03:50:32.509469image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T03:50:32.595716image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
식육가공업 1157
76.7%
na 263
 
17.4%
유가공업 72
 
4.8%
알가공업 16
 
1.1%

축산일련번호
Categorical

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size11.9 KiB
<NA>
1322 
0
186 

Length

Max length4
Median length4
Mean length3.6299735
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> 1322
87.7%
0 186
 
12.3%

Length

2024-04-30T03:50:32.706717image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T03:50:32.809220image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 1322
87.7%
0 186
 
12.3%

권리주체일련번호
Categorical

Distinct6
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size11.9 KiB
000
771 
L00
467 
<NA>
264 
F00
 
3
L01
 
2

Length

Max length4
Median length3
Mean length3.1750663
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 (%)
000 771
51.1%
L00 467
31.0%
<NA> 264
 
17.5%
F00 3
 
0.2%
L01 2
 
0.1%
L02 1
 
0.1%

Length

2024-04-30T03:50:32.917282image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T03:50:33.010161image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
000 771
51.1%
l00 467
31.0%
na 264
 
17.5%
f00 3
 
0.2%
l01 2
 
0.1%
l02 1
 
0.1%

총인원
Categorical

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size11.9 KiB
<NA>
1322 
0
186 

Length

Max length4
Median length4
Mean length3.6299735
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> 1322
87.7%
0 186
 
12.3%

Length

2024-04-30T03:50:33.127878image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T03:50:33.221001image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 1322
87.7%
0 186
 
12.3%

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)축산업무구분명축산물가공업구분명축산일련번호권리주체일련번호총인원
032100003210000004202100012021-01-20<NA>1영업/정상0000정상<NA><NA><NA><NA><NA>0.0<NA>서울특별시 서초구 반포동 94-14 성원빌딩서울특별시 서초구 사평대로22길 5, 성원빌딩 지하1층 (반포동)6576주식회사 오공삼2023-08-17 14:28:12U2022-12-07 23:09:00.0식육가공업199729.067692444127.496303<NA><NA><NA><NA><NA>
131100003110000004201300062013-08-05<NA>3폐업0002폐업2023-04-04<NA><NA>2023-04-04<NA>0.0<NA>서울특별시 은평구 구산동 7-5 102호서울특별시 은평구 서오릉로11길 20-1, 102호 (구산동)3411컨츄리유통2023-04-04 14:04:57U2022-12-04 00:06:00.0식육가공업192357.764421456494.299635<NA><NA><NA><NA><NA>
230300003030000004202300022023-12-04<NA>1영업/정상0000정상<NA><NA><NA><NA><NA>0.0<NA>서울특별시 성동구 마장동 511-4서울특별시 성동구 고산자로22길 13, 2층 (마장동)4748케이(top food)2023-12-04 15:59:31I2022-11-02 00:06:00.0식육가공업203356.252707451872.700665<NA><NA><NA><NA><NA>
330700003070000004200600032006-11-02<NA>1영업/정상0000정상<NA><NA><NA><NA>02-941-1951178.88<NA>서울특별시 성북구 종암동 3-6서울특별시 성북구 월곡로10길 60 (종암동)2795(주)한영디엔씨2023-03-09 16:48:31U2022-12-02 23:01:00.0식육가공업203485.501233455006.991252<NA><NA><NA><NA><NA>
430500003050000004202300012023-03-14<NA>1영업/정상0000정상<NA><NA><NA><NA><NA>0.0<NA>서울특별시 동대문구 신설동 92-5서울특별시 동대문구 하정로6길 14(신설동)2582풍원2023-03-14 09:32:37I2022-12-02 23:06:00.0식육가공업202321.748119452650.066305<NA><NA><NA><NA><NA>
530300003030000004201300082013-08-23<NA>1영업/정상0000정상<NA><NA><NA><NA><NA>0.0<NA>서울특별시 성동구 마장동 770-4 1층,2층서울특별시 성동구 마장로39길 16, 1층,2층 (마장동)4756(주)태산지앤엠2023-03-16 09:39:21U2022-12-02 23:08:00.0식육가공업203667.37896451598.967578<NA><NA><NA><NA><NA>
631500003150000004201500032015-05-06<NA>3폐업0002폐업2023-03-17<NA><NA>2023-03-17<NA>0.0<NA>서울특별시 강서구 등촌동 667-11 1층서울특별시 강서구 강서로54길 103, 1층 (등촌동)7591(주)둘레2023-03-17 09:55:23U2022-12-02 22:00:00.0식육가공업186184.759906450729.000208<NA><NA><NA><NA><NA>
731400003140000004202300012023-03-29<NA>1영업/정상0000정상<NA><NA><NA><NA>070-8801-30290.0<NA>서울특별시 양천구 목동 807-5 가인빌딩 제비02호서울특별시 양천구 등촌로 2, 가인빌딩 제비02호 (목동)7966주식회사 렌위치코리아 공장2023-03-29 19:00:44I2022-12-04 00:01:00.0식육가공업187943.072004447573.990028<NA><NA><NA><NA><NA>
830900003090000004201700012017-01-12<NA>3폐업0002폐업2023-03-29<NA><NA>2023-03-29<NA>0.0<NA>서울특별시 도봉구 창동 609-57 지1층서울특별시 도봉구 덕릉로63길 65, 지1층 (창동)1463제이제이미트2023-03-29 16:30:00U2022-12-04 00:01:00.0식육가공업203482.417062460217.962532<NA><NA><NA><NA><NA>
930000003000000004200100012001-07-09<NA>3폐업0002폐업2023-07-28<NA><NA>2023-07-28396-023963.0<NA>서울특별시 종로구 평창동 64-3 금강하이츠빌라상가 지하1층<NA><NA>가빈소시지2023-07-28 15:20:10U2022-12-06 21:00:00.0식육가공업197782.62285456220.012148<NA><NA><NA><NA><NA>
개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)축산업무구분명축산물가공업구분명축산일련번호권리주체일련번호총인원
1498317000031700000042006001620060619<NA>4취소/말소/만료/정지/중지0004말소20220429<NA><NA><NA>02-894-83530.0<NA>서울특별시 금천구 독산동 293-4서울특별시 금천구 범안로21길 19 (독산동)<NA>(주)신양축산유통2022-04-29 09:10:33U2021-12-05 00:03:00.0식육가공업190735.202947440588.58689<NA><NA><NA><NA><NA>
1499317000031700000042005000520050225<NA>4취소/말소/만료/정지/중지0004말소20220429<NA><NA><NA><NA>0.0<NA>서울특별시 금천구 독산동 284-10서울특별시 금천구 시흥대로128길 24 (독산동)<NA>강원 F2022-04-29 09:16:17U2021-12-05 00:03:00.0식육가공업191051.4156440890.81407<NA><NA><NA><NA><NA>
1500317000031700000042004000920040622<NA>4취소/말소/만료/정지/중지0004말소20220429<NA><NA><NA><NA>1182.5<NA>서울특별시 금천구 독산동 1035서울특별시 금천구 범안로 1242 (독산동)<NA>한마을유통2022-04-29 09:14:51U2021-12-05 00:03:00.0식육가공업191065.830732440462.341373<NA><NA><NA><NA><NA>
1501317000031700000042004000420040427<NA>4취소/말소/만료/정지/중지0004말소20220429<NA><NA><NA><NA>0.0<NA>서울특별시 금천구 독산동 293-5서울특별시 금천구 범안로 1209 (독산동)<NA>청일기업(주)2022-04-29 09:17:39U2021-12-05 00:03:00.0식육가공업190771.59559440515.669035<NA><NA><NA><NA><NA>
1502317000031700000042004000120040324<NA>4취소/말소/만료/정지/중지0004말소20220429<NA><NA><NA>855-7993975.52<NA>서울특별시 금천구 가산동 236-10서울특별시 금천구 가산로5길 66 (가산동)<NA>(주)한길지에프2022-04-29 09:11:52U2021-12-05 00:03:00.0식육가공업190287.265819441289.191202<NA><NA><NA><NA><NA>
1503317000031700000042003000120031103<NA>4취소/말소/만료/정지/중지0004말소20220429<NA><NA><NA>894-8353155.85<NA>서울특별시 금천구 독산동 293-4서울특별시 금천구 범안로21길 19 (독산동)<NA>(주)신양축산유통2022-04-29 09:09:23U2021-12-05 00:03:00.0식육가공업190735.202947440588.58689<NA><NA><NA><NA><NA>
1504317000031700000042002000320020930<NA>4취소/말소/만료/정지/중지0004말소20220429<NA><NA><NA>896-24220.0<NA>서울특별시 금천구 독산동 293-4서울특별시 금천구 범안로21길 19 (독산동)8585(주)대양유통2022-04-29 09:15:43U2021-12-05 00:03:00.0식육가공업190735.202947440588.58689<NA><NA><NA><NA><NA>
1505317000031700000042002000220020829<NA>4취소/말소/만료/정지/중지0004말소20220429<NA><NA><NA><NA>0.0<NA>서울특별시 금천구 가산동 151-36서울특별시 금천구 가산로 122 (가산동)8529대도물류(주)2022-04-29 09:14:25U2021-12-05 00:03:00.0식육가공업190457.772818441601.325701<NA><NA><NA><NA><NA>
1506317000031700000041998000119980529<NA>4취소/말소/만료/정지/중지0004말소20220429<NA><NA><NA>805-76440.0<NA>서울특별시 금천구 독산동 331-59서울특별시 금천구 범안로15길 14 (독산동)<NA>번영유통2022-04-29 09:11:06U2021-12-05 00:03:00.0식육가공업190489.654581440569.045196<NA><NA><NA><NA><NA>
1507321000032100000042012000320121221<NA>4취소/말소/만료/정지/중지0004말소20220404<NA><NA><NA>512-96310.0<NA>서울특별시 서초구 잠원동 10-41 B101호서울특별시 서초구 강남대로101안길 32, B101호 (잠원동)6525(주)피케이케이컴퍼니2022-05-13 16:51:57U2021-12-04 23:05:00.0식육가공업201433.422472445988.430075<NA><NA><NA><NA><NA>