Overview

Dataset statistics

Number of variables30
Number of observations2269
Missing cells15033
Missing cells (%)22.1%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory558.5 KiB
Average record size in memory252.1 B

Variable types

Numeric6
DateTime7
Unsupported1
Categorical12
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-16013/S/1/datasetView.do

Alerts

영업상태코드 is highly imbalanced (60.4%)Imbalance
영업상태명 is highly imbalanced (60.4%)Imbalance
상세영업상태코드 is highly imbalanced (60.4%)Imbalance
상세영업상태명 is highly imbalanced (60.4%)Imbalance
축산물가공업구분명 is highly imbalanced (62.8%)Imbalance
축산일련번호 is highly imbalanced (72.6%)Imbalance
총인원 is highly imbalanced (72.6%)Imbalance
인허가취소일자 has 2269 (100.0%) missing valuesMissing
폐업일자 has 1674 (73.8%) missing valuesMissing
휴업시작일자 has 2258 (99.5%) missing valuesMissing
휴업종료일자 has 2261 (99.6%) missing valuesMissing
재개업일자 has 2267 (99.9%) missing valuesMissing
전화번호 has 1199 (52.8%) missing valuesMissing
소재지우편번호 has 2002 (88.2%) missing valuesMissing
지번주소 has 24 (1.1%) missing valuesMissing
도로명우편번호 has 783 (34.5%) missing valuesMissing
좌표정보(X) has 142 (6.3%) missing valuesMissing
좌표정보(Y) has 142 (6.3%) missing valuesMissing
도로명우편번호 is highly skewed (γ1 = 22.33337865)Skewed
관리번호 has unique valuesUnique
최종수정일자 has unique valuesUnique
인허가취소일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported

Reproduction

Analysis started2024-05-11 01:31:03.351808
Analysis finished2024-05-11 01:31:05.843537
Duration2.49 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Real number (ℝ)

Distinct26
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5291485.2
Minimum3000000
Maximum6110000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size20.1 KiB
2024-05-11T01:31:06.106529image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3000000
5-th percentile3050000
Q13230000
median6110000
Q36110000
95-th percentile6110000
Maximum6110000
Range3110000
Interquartile range (IQR)2880000

Descriptive statistics

Standard deviation1331220.7
Coefficient of variation (CV)0.2515779
Kurtosis-0.97040164
Mean5291485.2
Median Absolute Deviation (MAD)0
Skewness-1.0133211
Sum1.200638 × 1010
Variance1.7721486 × 1012
MonotonicityNot monotonic
2024-05-11T01:31:06.536438image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=26)
ValueCountFrequency (%)
6110000 1646
72.5%
3130000 48
 
2.1%
3150000 46
 
2.0%
3230000 45
 
2.0%
3110000 36
 
1.6%
3210000 33
 
1.5%
3180000 33
 
1.5%
3040000 31
 
1.4%
3030000 30
 
1.3%
3170000 29
 
1.3%
Other values (16) 292
 
12.9%
ValueCountFrequency (%)
3000000 12
 
0.5%
3010000 6
 
0.3%
3020000 14
0.6%
3030000 30
1.3%
3040000 31
1.4%
3050000 26
1.1%
3060000 27
1.2%
3070000 26
1.1%
3080000 20
0.9%
3090000 23
1.0%
ValueCountFrequency (%)
6110000 1646
72.5%
3240000 19
 
0.8%
3230000 45
 
2.0%
3220000 19
 
0.8%
3210000 33
 
1.5%
3200000 23
 
1.0%
3190000 18
 
0.8%
3180000 33
 
1.5%
3170000 29
 
1.3%
3160000 10
 
0.4%

관리번호
Real number (ℝ)

UNIQUE 

Distinct2269
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.2914856 × 1017
Minimum3 × 1017
Maximum6.1100005 × 1017
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size20.1 KiB
2024-05-11T01:31:07.235715image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3 × 1017
5-th percentile3.05 × 1017
Q13.23 × 1017
median6.1100005 × 1017
Q36.1100005 × 1017
95-th percentile6.1100005 × 1017
Maximum6.1100005 × 1017
Range3.1100005 × 1017
Interquartile range (IQR)2.8800005 × 1017

Descriptive statistics

Standard deviation1.3312209 × 1017
Coefficient of variation (CV)0.25157792
Kurtosis-0.97040164
Mean5.2914856 × 1017
Median Absolute Deviation (MAD)70144
Skewness-1.0133211
Sum1.59972 × 1018
Variance1.7721492 × 1034
MonotonicityNot monotonic
2024-05-11T01:31:08.045642image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
314000003420210001 1
 
< 0.1%
611000050220070003 1
 
< 0.1%
611000050220170044 1
 
< 0.1%
611000050220170045 1
 
< 0.1%
611000050220170046 1
 
< 0.1%
611000050220170047 1
 
< 0.1%
611000050220170049 1
 
< 0.1%
611000050220070002 1
 
< 0.1%
611000050220070004 1
 
< 0.1%
611000050220170042 1
 
< 0.1%
Other values (2259) 2259
99.6%
ValueCountFrequency (%)
300000003420120001 1
< 0.1%
300000003420130001 1
< 0.1%
300000003420170001 1
< 0.1%
300000003420180001 1
< 0.1%
300000003420190001 1
< 0.1%
300000003420200001 1
< 0.1%
300000003420200002 1
< 0.1%
300000003420200003 1
< 0.1%
300000003420210001 1
< 0.1%
300000003420210002 1
< 0.1%
ValueCountFrequency (%)
611000050220240024 1
< 0.1%
611000050220240023 1
< 0.1%
611000050220240022 1
< 0.1%
611000050220240021 1
< 0.1%
611000050220240020 1
< 0.1%
611000050220240019 1
< 0.1%
611000050220240018 1
< 0.1%
611000050220240017 1
< 0.1%
611000050220240016 1
< 0.1%
611000050220240015 1
< 0.1%

인허가일자
Date

Distinct1571
Distinct (%)69.2%
Missing0
Missing (%)0.0%
Memory size17.9 KiB
Minimum1985-09-18 00:00:00
Maximum2024-05-09 00:00:00
2024-05-11T01:31:08.498569image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T01:31:09.070454image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2269
Missing (%)100.0%
Memory size20.1 KiB

영업상태코드
Categorical

IMBALANCE 

Distinct5
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size17.9 KiB
1
1648 
3
600 
5
 
8
2
 
7
4
 
6

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
1 1648
72.6%
3 600
 
26.4%
5 8
 
0.4%
2 7
 
0.3%
4 6
 
0.3%

Length

2024-05-11T01:31:09.722252image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T01:31:10.077628image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 1648
72.6%
3 600
 
26.4%
5 8
 
0.4%
2 7
 
0.3%
4 6
 
0.3%

영업상태명
Categorical

IMBALANCE 

Distinct5
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size17.9 KiB
영업/정상
1648 
폐업
600 
제외/삭제/전출
 
8
휴업
 
7
취소/말소/만료/정지/중지
 
6

Length

Max length14
Median length5
Mean length4.2318202
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업/정상 1648
72.6%
폐업 600
 
26.4%
제외/삭제/전출 8
 
0.4%
휴업 7
 
0.3%
취소/말소/만료/정지/중지 6
 
0.3%

Length

2024-05-11T01:31:10.835683image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T01:31:11.343705image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 1648
72.6%
폐업 600
 
26.4%
제외/삭제/전출 8
 
0.4%
휴업 7
 
0.3%
취소/말소/만료/정지/중지 6
 
0.3%

상세영업상태코드
Categorical

IMBALANCE 

Distinct5
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size17.9 KiB
0
1648 
2
600 
5
 
8
1
 
7
4
 
6

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 1648
72.6%
2 600
 
26.4%
5 8
 
0.4%
1 7
 
0.3%
4 6
 
0.3%

Length

2024-05-11T01:31:11.987821image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T01:31:12.462079image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 1648
72.6%
2 600
 
26.4%
5 8
 
0.4%
1 7
 
0.3%
4 6
 
0.3%

상세영업상태명
Categorical

IMBALANCE 

Distinct5
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size17.9 KiB
정상
1648 
폐업
600 
전출
 
8
휴업
 
7
말소
 
6

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
정상 1648
72.6%
폐업 600
 
26.4%
전출 8
 
0.4%
휴업 7
 
0.3%
말소 6
 
0.3%

Length

2024-05-11T01:31:13.306134image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T01:31:13.714248image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
정상 1648
72.6%
폐업 600
 
26.4%
전출 8
 
0.4%
휴업 7
 
0.3%
말소 6
 
0.3%

폐업일자
Date

MISSING 

Distinct383
Distinct (%)64.4%
Missing1674
Missing (%)73.8%
Memory size17.9 KiB
Minimum2005-11-01 00:00:00
Maximum2024-04-17 00:00:00
2024-05-11T01:31:14.217227image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T01:31:15.143432image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

휴업시작일자
Date

MISSING 

Distinct11
Distinct (%)100.0%
Missing2258
Missing (%)99.5%
Memory size17.9 KiB
Minimum2013-03-27 00:00:00
Maximum2024-04-19 00:00:00
2024-05-11T01:31:15.671800image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T01:31:16.191760image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=11)

휴업종료일자
Date

MISSING 

Distinct8
Distinct (%)100.0%
Missing2261
Missing (%)99.6%
Memory size17.9 KiB
Minimum2013-03-27 00:00:00
Maximum2028-12-31 00:00:00
2024-05-11T01:31:16.552806image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T01:31:17.044030image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)

재개업일자
Date

MISSING 

Distinct2
Distinct (%)100.0%
Missing2267
Missing (%)99.9%
Memory size17.9 KiB
Minimum2019-05-28 00:00:00
Maximum2023-06-19 00:00:00
2024-05-11T01:31:17.486973image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T01:31:17.936299image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=2)

전화번호
Text

MISSING 

Distinct992
Distinct (%)92.7%
Missing1199
Missing (%)52.8%
Memory size17.9 KiB
2024-05-11T01:31:19.007094image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length13
Mean length9.7869159
Min length1

Characters and Unicode

Total characters10472
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique924 ?
Unique (%)86.4%

Sample

1st row02-487-3424
2nd row02-473-5678
3rd row02-2209-7942
4th row02-2209-7942
5th row0226201100
ValueCountFrequency (%)
024438720 4
 
0.4%
0230127771 3
 
0.3%
027152122 3
 
0.3%
023593853 3
 
0.3%
024781440 3
 
0.3%
028997165 3
 
0.3%
02-3144-0509 3
 
0.3%
024430607 3
 
0.3%
07077171213 3
 
0.3%
027847836 2
 
0.2%
Other values (984) 1042
97.2%
2024-05-11T01:31:20.481025image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 2007
19.2%
2 1762
16.8%
7 982
9.4%
3 891
8.5%
5 855
8.2%
4 827
7.9%
8 823
7.9%
6 747
 
7.1%
1 735
 
7.0%
9 613
 
5.9%
Other values (2) 230
 
2.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 10242
97.8%
Dash Punctuation 228
 
2.2%
Space Separator 2
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 2007
19.6%
2 1762
17.2%
7 982
9.6%
3 891
8.7%
5 855
8.3%
4 827
8.1%
8 823
8.0%
6 747
 
7.3%
1 735
 
7.2%
9 613
 
6.0%
Dash Punctuation
ValueCountFrequency (%)
- 228
100.0%
Space Separator
ValueCountFrequency (%)
2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 10472
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 2007
19.2%
2 1762
16.8%
7 982
9.4%
3 891
8.5%
5 855
8.2%
4 827
7.9%
8 823
7.9%
6 747
 
7.1%
1 735
 
7.0%
9 613
 
5.9%
Other values (2) 230
 
2.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 10472
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 2007
19.2%
2 1762
16.8%
7 982
9.4%
3 891
8.5%
5 855
8.2%
4 827
7.9%
8 823
7.9%
6 747
 
7.1%
1 735
 
7.0%
9 613
 
5.9%
Other values (2) 230
 
2.2%

소재지면적
Categorical

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size17.9 KiB
<NA>
1675 
0
594 

Length

Max length4
Median length4
Mean length3.214632
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 1675
73.8%
0 594
 
26.2%

Length

2024-05-11T01:31:21.292433image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T01:31:21.965162image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 1675
73.8%
0 594
 
26.2%

소재지우편번호
Real number (ℝ)

MISSING 

Distinct198
Distinct (%)74.2%
Missing2002
Missing (%)88.2%
Infinite0
Infinite (%)0.0%
Mean137074.81
Minimum100032
Maximum158860
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size20.1 KiB
2024-05-11T01:31:22.520500image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum100032
5-th percentile110539.5
Q1134851
median137808
Q3140886
95-th percentile157163.9
Maximum158860
Range58828
Interquartile range (IQR)6035

Descriptive statistics

Standard deviation12313.75
Coefficient of variation (CV)0.089832334
Kurtosis1.240552
Mean137074.81
Median Absolute Deviation (MAD)2958
Skewness-0.72599923
Sum36598973
Variance1.5162843 × 108
MonotonicityNot monotonic
2024-05-11T01:31:23.515566image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
138160 12
 
0.5%
135080 6
 
0.3%
137070 5
 
0.2%
138200 5
 
0.2%
150010 4
 
0.2%
137130 4
 
0.2%
135090 4
 
0.2%
135220 3
 
0.1%
135280 3
 
0.1%
158050 3
 
0.1%
Other values (188) 218
 
9.6%
(Missing) 2002
88.2%
ValueCountFrequency (%)
100032 1
< 0.1%
100070 1
< 0.1%
100092 1
< 0.1%
100130 1
< 0.1%
100273 1
< 0.1%
100761 1
< 0.1%
100801 1
< 0.1%
100840 1
< 0.1%
110011 1
< 0.1%
110052 1
< 0.1%
ValueCountFrequency (%)
158860 1
 
< 0.1%
158772 1
 
< 0.1%
158727 1
 
< 0.1%
158074 1
 
< 0.1%
158050 3
0.1%
157928 1
 
< 0.1%
157852 2
0.1%
157816 1
 
< 0.1%
157806 1
 
< 0.1%
157805 1
 
< 0.1%

지번주소
Text

MISSING 

Distinct2043
Distinct (%)91.0%
Missing24
Missing (%)1.1%
Memory size17.9 KiB
2024-05-11T01:31:24.527301image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length52
Median length43
Mean length28.025835
Min length1

Characters and Unicode

Total characters62918
Distinct characters486
Distinct categories11 ?
Distinct scripts4 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1942 ?
Unique (%)86.5%

Sample

1st row서울특별시 양천구 신정동 872-20 1층
2nd row서울특별시 성북구 장위동 43-15
3rd row서울특별시 강남구 도곡동 963 역삼럭키아파트(지층) 103호
4th row서울특별시 강남구 삼성동 38-30 청림빌딩
5th row서울특별시 중랑구 중화동 307-63 한서빌딩
ValueCountFrequency (%)
서울특별시 2153
 
17.4%
강남구 232
 
1.9%
송파구 210
 
1.7%
서초구 193
 
1.6%
0호 187
 
1.5%
마포구 145
 
1.2%
1호 145
 
1.2%
영등포구 132
 
1.1%
강서구 128
 
1.0%
2호 96
 
0.8%
Other values (2975) 8730
70.7%
2024-05-11T01:31:26.363248image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
12632
20.1%
서 2668
 
4.2%
동 2646
 
4.2%
1 2482
 
3.9%
구 2269
 
3.6%
시 2216
 
3.5%
울 2170
 
3.4%
별 2155
 
3.4%
특 2154
 
3.4%
호 2107
 
3.3%
Other values (476) 29419
46.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 37572
59.7%
Space Separator 12632
 
20.1%
Decimal Number 11828
 
18.8%
Dash Punctuation 512
 
0.8%
Uppercase Letter 265
 
0.4%
Lowercase Letter 54
 
0.1%
Other Punctuation 18
 
< 0.1%
Open Punctuation 11
 
< 0.1%
Close Punctuation 11
 
< 0.1%
Math Symbol 9
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
서 2668
 
7.1%
동 2646
 
7.0%
구 2269
 
6.0%
시 2216
 
5.9%
울 2170
 
5.8%
별 2155
 
5.7%
특 2154
 
5.7%
호 2107
 
5.6%
지 1896
 
5.0%
번 1759
 
4.7%
Other values (417) 15532
41.3%
Uppercase Letter
ValueCountFrequency (%)
B 33
12.5%
A 28
 
10.6%
C 28
 
10.6%
T 20
 
7.5%
K 17
 
6.4%
S 17
 
6.4%
I 14
 
5.3%
E 13
 
4.9%
M 10
 
3.8%
G 10
 
3.8%
Other values (13) 75
28.3%
Lowercase Letter
ValueCountFrequency (%)
e 17
31.5%
r 7
13.0%
t 6
 
11.1%
n 5
 
9.3%
c 5
 
9.3%
s 5
 
9.3%
a 3
 
5.6%
i 2
 
3.7%
b 2
 
3.7%
f 1
 
1.9%
Decimal Number
ValueCountFrequency (%)
1 2482
21.0%
2 1506
12.7%
0 1435
12.1%
3 1239
10.5%
5 1009
8.5%
6 946
 
8.0%
4 941
 
8.0%
7 861
 
7.3%
9 745
 
6.3%
8 664
 
5.6%
Other Punctuation
ValueCountFrequency (%)
, 8
44.4%
/ 3
 
16.7%
. 2
 
11.1%
& 2
 
11.1%
' 1
 
5.6%
@ 1
 
5.6%
? 1
 
5.6%
Letter Number
ValueCountFrequency (%)
Ⅱ 4
66.7%
Ⅲ 1
 
16.7%
Ⅰ 1
 
16.7%
Space Separator
ValueCountFrequency (%)
12632
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 512
100.0%
Open Punctuation
ValueCountFrequency (%)
( 11
100.0%
Close Punctuation
ValueCountFrequency (%)
) 11
100.0%
Math Symbol
ValueCountFrequency (%)
~ 9
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 37571
59.7%
Common 25021
39.8%
Latin 325
 
0.5%
Han 1
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
서 2668
 
7.1%
동 2646
 
7.0%
구 2269
 
6.0%
시 2216
 
5.9%
울 2170
 
5.8%
별 2155
 
5.7%
특 2154
 
5.7%
호 2107
 
5.6%
지 1896
 
5.0%
번 1759
 
4.7%
Other values (416) 15531
41.3%
Latin
ValueCountFrequency (%)
B 33
 
10.2%
A 28
 
8.6%
C 28
 
8.6%
T 20
 
6.2%
e 17
 
5.2%
K 17
 
5.2%
S 17
 
5.2%
I 14
 
4.3%
E 13
 
4.0%
M 10
 
3.1%
Other values (27) 128
39.4%
Common
ValueCountFrequency (%)
12632
50.5%
1 2482
 
9.9%
2 1506
 
6.0%
0 1435
 
5.7%
3 1239
 
5.0%
5 1009
 
4.0%
6 946
 
3.8%
4 941
 
3.8%
7 861
 
3.4%
9 745
 
3.0%
Other values (12) 1225
 
4.9%
Han
ValueCountFrequency (%)
美 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 37571
59.7%
ASCII 25340
40.3%
Number Forms 6
 
< 0.1%
CJK 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
12632
49.9%
1 2482
 
9.8%
2 1506
 
5.9%
0 1435
 
5.7%
3 1239
 
4.9%
5 1009
 
4.0%
6 946
 
3.7%
4 941
 
3.7%
7 861
 
3.4%
9 745
 
2.9%
Other values (46) 1544
 
6.1%
Hangul
ValueCountFrequency (%)
서 2668
 
7.1%
동 2646
 
7.0%
구 2269
 
6.0%
시 2216
 
5.9%
울 2170
 
5.8%
별 2155
 
5.7%
특 2154
 
5.7%
호 2107
 
5.6%
지 1896
 
5.0%
번 1759
 
4.7%
Other values (416) 15531
41.3%
Number Forms
ValueCountFrequency (%)
Ⅱ 4
66.7%
Ⅲ 1
 
16.7%
Ⅰ 1
 
16.7%
CJK
ValueCountFrequency (%)
美 1
100.0%

도로명주소
Text

Distinct2010
Distinct (%)89.1%
Missing12
Missing (%)0.5%
Memory size17.9 KiB
2024-05-11T01:31:27.601123image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length66
Median length49
Mean length34.943731
Min length21

Characters and Unicode

Total characters78868
Distinct characters530
Distinct categories11 ?
Distinct scripts4 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1792 ?
Unique (%)79.4%

Sample

1st row서울특별시 양천구 신정중앙로 11, 1층 (신정동)
2nd row서울특별시 성북구 화랑로39길 20, 2층 (장위동)
3rd row서울특별시 강남구 논현로 213, 역삼럭키아파트 (도곡동, 역삼럭키아파트)
4th row서울특별시 강남구 봉은사로 415, 청림빌딩 지하1층 (삼성동)
5th row서울특별시 중랑구 중랑역로 122, 한서빌딩 3층 (중화동)
ValueCountFrequency (%)
서울특별시 2257
 
15.6%
1층 349
 
2.4%
강남구 249
 
1.7%
송파구 218
 
1.5%
서초구 204
 
1.4%
2층 157
 
1.1%
마포구 152
 
1.1%
영등포구 137
 
0.9%
강서구 129
 
0.9%
3층 108
 
0.7%
Other values (3705) 10510
72.6%
2024-05-11T01:31:29.433389image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
12216
 
15.5%
1 3398
 
4.3%
동 3074
 
3.9%
서 2930
 
3.7%
, 2719
 
3.4%
구 2405
 
3.0%
로 2374
 
3.0%
시 2340
 
3.0%
울 2284
 
2.9%
) 2269
 
2.9%
Other values (520) 42859
54.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 45471
57.7%
Decimal Number 13135
 
16.7%
Space Separator 12216
 
15.5%
Other Punctuation 2732
 
3.5%
Close Punctuation 2269
 
2.9%
Open Punctuation 2269
 
2.9%
Dash Punctuation 350
 
0.4%
Uppercase Letter 339
 
0.4%
Lowercase Letter 63
 
0.1%
Math Symbol 18
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 3074
 
6.8%
서 2930
 
6.4%
구 2405
 
5.3%
로 2374
 
5.2%
시 2340
 
5.1%
울 2284
 
5.0%
별 2259
 
5.0%
특 2258
 
5.0%
호 1323
 
2.9%
층 1113
 
2.4%
Other values (460) 23111
50.8%
Uppercase Letter
ValueCountFrequency (%)
B 67
19.8%
A 52
15.3%
C 40
11.8%
T 19
 
5.6%
S 17
 
5.0%
K 17
 
5.0%
I 14
 
4.1%
E 13
 
3.8%
G 12
 
3.5%
D 11
 
3.2%
Other values (14) 77
22.7%
Lowercase Letter
ValueCountFrequency (%)
e 17
27.0%
b 8
12.7%
r 7
11.1%
c 6
 
9.5%
t 6
 
9.5%
s 5
 
7.9%
a 5
 
7.9%
n 5
 
7.9%
i 2
 
3.2%
f 1
 
1.6%
Decimal Number
ValueCountFrequency (%)
1 3398
25.9%
2 2004
15.3%
0 1543
11.7%
3 1460
11.1%
4 1018
 
7.8%
5 932
 
7.1%
6 843
 
6.4%
8 666
 
5.1%
7 650
 
4.9%
9 621
 
4.7%
Other Punctuation
ValueCountFrequency (%)
, 2719
99.5%
. 5
 
0.2%
/ 3
 
0.1%
& 2
 
0.1%
' 1
 
< 0.1%
@ 1
 
< 0.1%
? 1
 
< 0.1%
Letter Number
ValueCountFrequency (%)
Ⅱ 4
66.7%
Ⅰ 1
 
16.7%
Ⅲ 1
 
16.7%
Space Separator
ValueCountFrequency (%)
12216
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2269
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2269
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 350
100.0%
Math Symbol
ValueCountFrequency (%)
~ 18
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 45470
57.7%
Common 32989
41.8%
Latin 408
 
0.5%
Han 1
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 3074
 
6.8%
서 2930
 
6.4%
구 2405
 
5.3%
로 2374
 
5.2%
시 2340
 
5.1%
울 2284
 
5.0%
별 2259
 
5.0%
특 2258
 
5.0%
호 1323
 
2.9%
층 1113
 
2.4%
Other values (459) 23110
50.8%
Latin
ValueCountFrequency (%)
B 67
16.4%
A 52
 
12.7%
C 40
 
9.8%
T 19
 
4.7%
e 17
 
4.2%
S 17
 
4.2%
K 17
 
4.2%
I 14
 
3.4%
E 13
 
3.2%
G 12
 
2.9%
Other values (28) 140
34.3%
Common
ValueCountFrequency (%)
12216
37.0%
1 3398
 
10.3%
, 2719
 
8.2%
) 2269
 
6.9%
( 2269
 
6.9%
2 2004
 
6.1%
0 1543
 
4.7%
3 1460
 
4.4%
4 1018
 
3.1%
5 932
 
2.8%
Other values (12) 3161
 
9.6%
Han
ValueCountFrequency (%)
美 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 45470
57.7%
ASCII 33391
42.3%
Number Forms 6
 
< 0.1%
CJK 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
12216
36.6%
1 3398
 
10.2%
, 2719
 
8.1%
) 2269
 
6.8%
( 2269
 
6.8%
2 2004
 
6.0%
0 1543
 
4.6%
3 1460
 
4.4%
4 1018
 
3.0%
5 932
 
2.8%
Other values (47) 3563
 
10.7%
Hangul
ValueCountFrequency (%)
동 3074
 
6.8%
서 2930
 
6.4%
구 2405
 
5.3%
로 2374
 
5.2%
시 2340
 
5.1%
울 2284
 
5.0%
별 2259
 
5.0%
특 2258
 
5.0%
호 1323
 
2.9%
층 1113
 
2.4%
Other values (459) 23110
50.8%
Number Forms
ValueCountFrequency (%)
Ⅱ 4
66.7%
Ⅰ 1
 
16.7%
Ⅲ 1
 
16.7%
CJK
ValueCountFrequency (%)
美 1
100.0%

도로명우편번호
Real number (ℝ)

MISSING  SKEWED 

Distinct932
Distinct (%)62.7%
Missing783
Missing (%)34.5%
Infinite0
Infinite (%)0.0%
Mean5558.2409
Minimum1006
Maximum157900
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size20.1 KiB
2024-05-11T01:31:30.194790image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1006
5-th percentile1663
Q13954
median5663.5
Q37009
95-th percentile8560.25
Maximum157900
Range156894
Interquartile range (IQR)3055

Descriptive statistics

Standard deviation5894.7807
Coefficient of variation (CV)1.0605479
Kurtosis568.87582
Mean5558.2409
Median Absolute Deviation (MAD)1582.5
Skewness22.333379
Sum8259546
Variance34748439
MonotonicityNot monotonic
2024-05-11T01:31:30.744113image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
5719 18
 
0.8%
7631 11
 
0.5%
6349 8
 
0.4%
6775 7
 
0.3%
7203 7
 
0.3%
5510 7
 
0.3%
7071 6
 
0.3%
8759 6
 
0.3%
8608 6
 
0.3%
6151 6
 
0.3%
Other values (922) 1404
61.9%
(Missing) 783
34.5%
ValueCountFrequency (%)
1006 3
0.1%
1011 1
 
< 0.1%
1035 1
 
< 0.1%
1044 2
0.1%
1080 1
 
< 0.1%
1081 2
0.1%
1090 2
0.1%
1097 1
 
< 0.1%
1112 4
0.2%
1124 1
 
< 0.1%
ValueCountFrequency (%)
157900 1
 
< 0.1%
153776 1
 
< 0.1%
8859 2
0.1%
8847 1
 
< 0.1%
8846 3
0.1%
8836 2
0.1%
8791 1
 
< 0.1%
8789 2
0.1%
8787 1
 
< 0.1%
8785 1
 
< 0.1%

사업장명
Text

Distinct1804
Distinct (%)79.5%
Missing0
Missing (%)0.0%
Memory size17.9 KiB
2024-05-11T01:31:31.696724image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length31
Median length25
Mean length7.4521816
Min length2

Characters and Unicode

Total characters16909
Distinct characters659
Distinct categories12 ?
Distinct scripts4 ?
Distinct blocks6 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1422 ?
Unique (%)62.7%

Sample

1st row(주)월드바이오
2nd rowDear fluffy(디어 플러피)
3rd row맘마로
4th row펫스튜어드
5th row마리앤독
ValueCountFrequency (%)
주식회사 231
 
8.0%
주 29
 
1.0%
수제간식 13
 
0.4%
pet 13
 
0.4%
코리아 8
 
0.3%
펫푸드 7
 
0.2%
피드미 6
 
0.2%
제이원피앤지 6
 
0.2%
해피팡팡 5
 
0.2%
인터내셔널 5
 
0.2%
Other values (1980) 2573
88.8%
2024-05-11T01:31:33.604399image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 925
 
5.5%
) 846
 
5.0%
( 846
 
5.0%
627
 
3.7%
이 623
 
3.7%
스 432
 
2.6%
사 344
 
2.0%
리 315
 
1.9%
식 311
 
1.8%
회 271
 
1.6%
Other values (649) 11369
67.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 12800
75.7%
Lowercase Letter 919
 
5.4%
Close Punctuation 848
 
5.0%
Open Punctuation 848
 
5.0%
Uppercase Letter 721
 
4.3%
Space Separator 627
 
3.7%
Other Punctuation 59
 
0.3%
Other Symbol 42
 
0.2%
Decimal Number 33
 
0.2%
Dash Punctuation 9
 
0.1%
Other values (2) 3
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 925
 
7.2%
이 623
 
4.9%
스 432
 
3.4%
사 344
 
2.7%
리 315
 
2.5%
식 311
 
2.4%
회 271
 
2.1%
아 242
 
1.9%
에 222
 
1.7%
코 220
 
1.7%
Other values (576) 8895
69.5%
Uppercase Letter
ValueCountFrequency (%)
A 63
 
8.7%
P 61
 
8.5%
T 53
 
7.4%
D 46
 
6.4%
E 45
 
6.2%
O 42
 
5.8%
L 36
 
5.0%
M 34
 
4.7%
S 33
 
4.6%
N 32
 
4.4%
Other values (15) 276
38.3%
Lowercase Letter
ValueCountFrequency (%)
e 139
15.1%
o 87
 
9.5%
t 86
 
9.4%
a 70
 
7.6%
i 60
 
6.5%
r 56
 
6.1%
n 52
 
5.7%
l 46
 
5.0%
s 44
 
4.8%
u 35
 
3.8%
Other values (13) 244
26.6%
Other Punctuation
ValueCountFrequency (%)
. 20
33.9%
& 12
20.3%
, 9
15.3%
' 9
15.3%
: 4
 
6.8%
? 2
 
3.4%
; 2
 
3.4%
! 1
 
1.7%
Decimal Number
ValueCountFrequency (%)
2 8
24.2%
1 6
18.2%
4 5
15.2%
5 4
12.1%
3 4
12.1%
6 2
 
6.1%
9 2
 
6.1%
8 2
 
6.1%
Close Punctuation
ValueCountFrequency (%)
) 846
99.8%
] 2
 
0.2%
Open Punctuation
ValueCountFrequency (%)
( 846
99.8%
[ 2
 
0.2%
Space Separator
ValueCountFrequency (%)
627
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 42
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 9
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 2
100.0%
Final Punctuation
ValueCountFrequency (%)
’ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 12834
75.9%
Common 2427
 
14.4%
Latin 1640
 
9.7%
Han 8
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 925
 
7.2%
이 623
 
4.9%
스 432
 
3.4%
사 344
 
2.7%
리 315
 
2.5%
식 311
 
2.4%
회 271
 
2.1%
아 242
 
1.9%
에 222
 
1.7%
코 220
 
1.7%
Other values (571) 8929
69.6%
Latin
ValueCountFrequency (%)
e 139
 
8.5%
o 87
 
5.3%
t 86
 
5.2%
a 70
 
4.3%
A 63
 
3.8%
P 61
 
3.7%
i 60
 
3.7%
r 56
 
3.4%
T 53
 
3.2%
n 52
 
3.2%
Other values (38) 913
55.7%
Common
ValueCountFrequency (%)
) 846
34.9%
( 846
34.9%
627
25.8%
. 20
 
0.8%
& 12
 
0.5%
, 9
 
0.4%
' 9
 
0.4%
- 9
 
0.4%
2 8
 
0.3%
1 6
 
0.2%
Other values (14) 35
 
1.4%
Han
ValueCountFrequency (%)
犬 2
25.0%
愛 2
25.0%
樂 1
12.5%
時 1
12.5%
樂 1
12.5%
鎔 1
12.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 12792
75.7%
ASCII 4066
 
24.0%
None 42
 
0.2%
CJK 7
 
< 0.1%
CJK Compat Ideographs 1
 
< 0.1%
Punctuation 1
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 925
 
7.2%
이 623
 
4.9%
스 432
 
3.4%
사 344
 
2.7%
리 315
 
2.5%
식 311
 
2.4%
회 271
 
2.1%
아 242
 
1.9%
에 222
 
1.7%
코 220
 
1.7%
Other values (570) 8887
69.5%
ASCII
ValueCountFrequency (%)
) 846
20.8%
( 846
20.8%
627
15.4%
e 139
 
3.4%
o 87
 
2.1%
t 86
 
2.1%
a 70
 
1.7%
A 63
 
1.5%
P 61
 
1.5%
i 60
 
1.5%
Other values (61) 1181
29.0%
None
ValueCountFrequency (%)
㈜ 42
100.0%
CJK
ValueCountFrequency (%)
犬 2
28.6%
愛 2
28.6%
時 1
14.3%
樂 1
14.3%
鎔 1
14.3%
CJK Compat Ideographs
ValueCountFrequency (%)
樂 1
100.0%
Punctuation
ValueCountFrequency (%)
’ 1
100.0%

최종수정일자
Date

UNIQUE 

Distinct2269
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size17.9 KiB
Minimum2007-03-19 14:46:51
Maximum2024-05-09 17:27:38
2024-05-11T01:31:34.337663image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T01:31:35.044500image/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 size17.9 KiB
I
1626 
U
643 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
I 1626
71.7%
U 643
 
28.3%

Length

2024-05-11T01:31:35.571630image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T01:31:35.894375image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 1626
71.7%
u 643
 
28.3%

데이터갱신일자
Date

Distinct668
Distinct (%)29.4%
Missing0
Missing (%)0.0%
Memory size17.9 KiB
Minimum2018-08-31 23:59:59
Maximum2023-12-04 23:01:00
2024-05-11T01:31:36.278532image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T01:31:36.825639image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업태구분명
Categorical

Distinct7
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size17.9 KiB
사료제조업(수입)
1090 
단미
535 
사료제조업(단미)
427 
사료제조업(배합)
112 
배합
 
67
Other values (2)
 
38

Length

Max length9
Median length9
Mean length7.0780079
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row배합
2nd row단미
3rd row단미
4th row단미
5th row배합

Common Values

ValueCountFrequency (%)
사료제조업(수입) 1090
48.0%
단미 535
23.6%
사료제조업(단미) 427
 
18.8%
사료제조업(배합) 112
 
4.9%
배합 67
 
3.0%
보조 21
 
0.9%
사료제조업(보조) 17
 
0.7%

Length

2024-05-11T01:31:37.299942image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T01:31:37.691786image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
사료제조업(수입 1090
48.0%
단미 535
23.6%
사료제조업(단미 427
 
18.8%
사료제조업(배합 112
 
4.9%
배합 67
 
3.0%
보조 21
 
0.9%
사료제조업(보조 17
 
0.7%

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct1510
Distinct (%)71.0%
Missing142
Missing (%)6.3%
Infinite0
Infinite (%)0.0%
Mean199887.79
Minimum182489
Maximum213867.16
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size20.1 KiB
2024-05-11T01:31:38.072644image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum182489
5-th percentile186798.73
Q1193140.05
median201580.24
Q3205340.63
95-th percentile211059.44
Maximum213867.16
Range31378.159
Interquartile range (IQR)12200.579

Descriptive statistics

Standard deviation7513.6022
Coefficient of variation (CV)0.0375891
Kurtosis-0.98338285
Mean199887.79
Median Absolute Deviation (MAD)6012.2312
Skewness-0.24366327
Sum4.2516134 × 108
Variance56454218
MonotonicityNot monotonic
2024-05-11T01:31:38.514125image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
209144.783150288 12
 
0.5%
190204.923593825 8
 
0.4%
202425.73 7
 
0.3%
194974.587674037 6
 
0.3%
201049.029062927 6
 
0.3%
211211.006492781 6
 
0.3%
208937.760652081 6
 
0.3%
189978.050925581 6
 
0.3%
206203.268522037 5
 
0.2%
202869.775808581 5
 
0.2%
Other values (1500) 2060
90.8%
(Missing) 142
 
6.3%
ValueCountFrequency (%)
182489.0 1
< 0.1%
182876.367858149 1
< 0.1%
183296.53695081 1
< 0.1%
183301.512115904 1
< 0.1%
183391.997692709 1
< 0.1%
183540.005774417 1
< 0.1%
183633.164760543 1
< 0.1%
183698.38214269 1
< 0.1%
183770.301914667 1
< 0.1%
183801.665424515 1
< 0.1%
ValueCountFrequency (%)
213867.159214424 2
0.1%
213640.409719271 1
< 0.1%
213627.574333297 2
0.1%
213371.152528482 1
< 0.1%
213051.909977437 2
0.1%
212996.76231763 2
0.1%
212951.223206807 1
< 0.1%
212899.822341752 1
< 0.1%
212867.495020789 1
< 0.1%
212828.976237144 1
< 0.1%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct1513
Distinct (%)71.1%
Missing142
Missing (%)6.3%
Infinite0
Infinite (%)0.0%
Mean448354.51
Minimum437914.06
Maximum465434.29
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size20.1 KiB
2024-05-11T01:31:38.915934image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum437914.06
5-th percentile441530.93
Q1443811.38
median447783.21
Q3451405.38
95-th percentile459279.35
Maximum465434.29
Range27520.225
Interquartile range (IQR)7594.0021

Descriptive statistics

Standard deviation5473.46
Coefficient of variation (CV)0.012207884
Kurtosis0.053002888
Mean448354.51
Median Absolute Deviation (MAD)3831.1744
Skewness0.75067622
Sum9.5365005 × 108
Variance29958765
MonotonicityNot monotonic
2024-05-11T01:31:39.356074image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
442922.611326787 12
 
0.5%
452434.679034834 8
 
0.4%
444852.88 7
 
0.3%
440363.954453659 6
 
0.3%
461366.546648147 6
 
0.3%
443131.604438054 6
 
0.3%
442873.588039887 6
 
0.3%
448229.063825491 6
 
0.3%
449963.043497672 5
 
0.2%
441260.716693233 5
 
0.2%
Other values (1503) 2060
90.8%
(Missing) 142
 
6.3%
ValueCountFrequency (%)
437914.06299827 1
 
< 0.1%
438697.682534517 1
 
< 0.1%
438765.406099377 2
 
0.1%
438891.691777748 2
 
0.1%
438991.18077425 1
 
< 0.1%
438995.521779219 2
 
0.1%
439029.823242263 1
 
< 0.1%
439291.033410558 1
 
< 0.1%
439505.461452997 5
0.2%
439569.401459017 2
 
0.1%
ValueCountFrequency (%)
465434.287606105 1
 
< 0.1%
464905.033086911 1
 
< 0.1%
464356.527197506 1
 
< 0.1%
464346.259785555 1
 
< 0.1%
464295.628375287 2
0.1%
464215.186872943 1
 
< 0.1%
464208.305428933 1
 
< 0.1%
464199.048415229 3
0.1%
464003.782684071 3
0.1%
463861.774994761 2
0.1%

축산업무구분명
Categorical

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size17.9 KiB
사료제조업
1437 
<NA>
832 

Length

Max length5
Median length5
Mean length4.6333186
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 (%)
사료제조업 1437
63.3%
<NA> 832
36.7%

Length

2024-05-11T01:31:39.791930image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T01:31:40.090490image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
사료제조업 1437
63.3%
na 832
36.7%

축산물가공업구분명
Categorical

IMBALANCE 

Distinct4
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size17.9 KiB
<NA>
1921 
단미
286 
배합
 
46
보조
 
16

Length

Max length4
Median length4
Mean length3.6932569
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> 1921
84.7%
단미 286
 
12.6%
배합 46
 
2.0%
보조 16
 
0.7%

Length

2024-05-11T01:31:40.441125image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T01:31:40.785708image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 1921
84.7%
단미 286
 
12.6%
배합 46
 
2.0%
보조 16
 
0.7%

축산일련번호
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size17.9 KiB
<NA>
2162 
0
 
107

Length

Max length4
Median length4
Mean length3.858528
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> 2162
95.3%
0 107
 
4.7%

Length

2024-05-11T01:31:41.157867image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T01:31:41.703847image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 2162
95.3%
0 107
 
4.7%

권리주체일련번호
Categorical

Distinct4
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size17.9 KiB
000
1011 
<NA>
832 
L00
425 
O00
 
1

Length

Max length4
Median length3
Mean length3.3666814
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 1011
44.6%
<NA> 832
36.7%
L00 425
18.7%
O00 1
 
< 0.1%

Length

2024-05-11T01:31:42.040447image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T01:31:42.379871image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
000 1011
44.6%
na 832
36.7%
l00 425
18.7%
o00 1
 
< 0.1%

총인원
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size17.9 KiB
<NA>
2162 
0
 
107

Length

Max length4
Median length4
Mean length3.858528
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> 2162
95.3%
0 107
 
4.7%

Length

2024-05-11T01:31:42.766868image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T01:31:43.012510image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 2162
95.3%
0 107
 
4.7%

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)축산업무구분명축산물가공업구분명축산일련번호권리주체일련번호총인원
031400003140000034202100012021-08-25<NA>3폐업2폐업2023-02-28<NA><NA><NA><NA>0<NA>서울특별시 양천구 신정동 872-20 1층서울특별시 양천구 신정중앙로 11, 1층 (신정동)7939(주)월드바이오2023-02-28 09:57:59U2022-12-03 00:03:00.0배합186954.825962447314.744403<NA><NA><NA><NA><NA>
130700003070000034201900012019-01-11<NA>3폐업2폐업2023-03-02<NA><NA><NA><NA>0<NA>서울특별시 성북구 장위동 43-15서울특별시 성북구 화랑로39길 20, 2층 (장위동)2775Dear fluffy(디어 플러피)2023-03-02 17:34:54U2022-12-03 00:04:00.0단미205190.056409456781.40172<NA><NA><NA><NA><NA>
232200003220000034202000032020-12-31<NA>3폐업2폐업2023-03-06<NA><NA><NA><NA>0<NA>서울특별시 강남구 도곡동 963 역삼럭키아파트(지층) 103호서울특별시 강남구 논현로 213, 역삼럭키아파트 (도곡동, 역삼럭키아파트)6262맘마로2023-03-06 11:08:24U2022-12-03 00:08:00.0단미203467.506369443139.661679<NA><NA><NA><NA><NA>
332200003220000034202000012020-06-09<NA>3폐업2폐업2023-03-06<NA><NA><NA><NA>0<NA>서울특별시 강남구 삼성동 38-30 청림빌딩서울특별시 강남구 봉은사로 415, 청림빌딩 지하1층 (삼성동)6097펫스튜어드2023-03-06 18:23:18U2022-12-03 00:08:00.0단미203961.288934445431.551362<NA><NA><NA><NA><NA>
430600003060000034202100022021-06-24<NA>3폐업2폐업2023-03-07<NA><NA><NA>02-487-34240<NA>서울특별시 중랑구 중화동 307-63 한서빌딩서울특별시 중랑구 중랑역로 122, 한서빌딩 3층 (중화동)2014마리앤독2023-03-07 15:59:45U2022-12-03 00:09:00.0배합206777.237167455769.214288<NA><NA><NA><NA><NA>
531700003170000034201800032018-08-17<NA>1영업/정상0정상<NA><NA><NA><NA><NA>0<NA>서울특별시 금천구 가산동 493-6 대륭테크노타운6차 805호서울특별시 금천구 서부샛길 648, 대륭테크노타운6차 805호 (가산동)8504주식회사 펫픽2023-03-08 09:31:42U2022-12-02 23:01:00.0배합188968.189711442119.780902<NA><NA><NA><NA><NA>
632400003240000034201900022004-10-21<NA>1영업/정상0정상<NA><NA><NA><NA>02-473-56780<NA>서울특별시 강동구 고덕동 360 강동구음식물재활용센터서울특별시 강동구 아리수로87가길 275, 강동구음식물재활용센터 (고덕동)5203강동구청2023-03-09 09:55:23U2022-12-02 23:01:00.0단미213867.159214451889.445079<NA><NA><NA><NA><NA>
730900003090000034202300012023-03-11<NA>1영업/정상0정상<NA><NA><NA><NA><NA>0<NA>서울특별시 도봉구 창동 581-1서울특별시 도봉구 덕릉로59길 9, 2층 (창동)1470주식회사 국개대표2023-03-11 17:40:57I2022-12-02 23:03:00.0단미203360.905368459773.380976<NA><NA><NA><NA><NA>
861100006110000502202201242022-12-15<NA>1영업/정상0정상<NA><NA><NA><NA><NA><NA><NA>서울특별시 마포구 합정동 441번지 1호서울특별시 마포구 동교로 24, 1층(합정동)4020댐잇2023-02-20 14:21:54I2022-12-01 22:02:00.0사료제조업(단미)<NA><NA><NA><NA><NA><NA><NA>
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226761100006110000502200300092003-01-30<NA>1영업/정상0정상<NA><NA><NA><NA>0234258771<NA><NA>서울특별시 강동구 고덕동 360번지 0호 강동구음식물재활용센터서울특별시 강동구 아리수로87가길 275, 강동구음식물재활용센터 (고덕동)<NA>강동구청2023-07-26 14:46:27U2022-12-06 22:08:00.0사료제조업(단미)213867.159214451889.445079<NA><NA><NA><NA><NA>
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