Overview

Dataset statistics

Number of variables30
Number of observations2117
Missing cells17799
Missing cells (%)28.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory525.2 KiB
Average record size in memory254.1 B

Variable types

Numeric5
DateTime6
Unsupported5
Categorical9
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-16007/S/1/datasetView.do

Alerts

재개업일자 is highly imbalanced (99.1%)Imbalance
총인원 is highly imbalanced (57.9%)Imbalance
인허가취소일자 has 2117 (100.0%) missing valuesMissing
폐업일자 has 968 (45.7%) missing valuesMissing
휴업시작일자 has 2110 (99.7%) missing valuesMissing
휴업종료일자 has 2111 (99.7%) missing valuesMissing
전화번호 has 188 (8.9%) missing valuesMissing
소재지면적 has 117 (5.5%) missing valuesMissing
소재지우편번호 has 2117 (100.0%) missing valuesMissing
지번주소 has 70 (3.3%) missing valuesMissing
도로명주소 has 393 (18.6%) missing valuesMissing
도로명우편번호 has 743 (35.1%) missing valuesMissing
업태구분명 has 2117 (100.0%) missing valuesMissing
좌표정보(X) has 257 (12.1%) missing valuesMissing
좌표정보(Y) has 257 (12.1%) missing valuesMissing
축산물가공업구분명 has 2117 (100.0%) missing valuesMissing
축산일련번호 has 2117 (100.0%) missing valuesMissing
소재지면적 is highly skewed (γ1 = 27.45623934)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
축산물가공업구분명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
축산일련번호 is an unsupported type, check if it needs cleaning or further analysisUnsupported
소재지면적 has 1029 (48.6%) zerosZeros

Reproduction

Analysis started2024-04-29 18:48:39.002357
Analysis finished2024-04-29 18:48:40.286194
Duration1.28 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Real number (ℝ)

Distinct25
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3146726.5
Minimum3000000
Maximum3240000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.7 KiB
2024-04-30T03:48:40.352711image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3000000
5-th percentile3020000
Q13090000
median3150000
Q33220000
95-th percentile3240000
Maximum3240000
Range240000
Interquartile range (IQR)130000

Descriptive statistics

Standard deviation72027.138
Coefficient of variation (CV)0.022889545
Kurtosis-1.1460729
Mean3146726.5
Median Absolute Deviation (MAD)70000
Skewness-0.37118183
Sum6.66162 × 109
Variance5.1879086 × 109
MonotonicityNot monotonic
2024-04-30T03:48:40.466053image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%)
3220000 256
 
12.1%
3230000 199
 
9.4%
3210000 130
 
6.1%
3240000 125
 
5.9%
3130000 108
 
5.1%
3150000 105
 
5.0%
3140000 104
 
4.9%
3110000 98
 
4.6%
3180000 84
 
4.0%
3040000 78
 
3.7%
Other values (15) 830
39.2%
ValueCountFrequency (%)
3000000 25
 
1.2%
3010000 33
1.6%
3020000 72
3.4%
3030000 64
3.0%
3040000 78
3.7%
3050000 51
2.4%
3060000 64
3.0%
3070000 67
3.2%
3080000 42
2.0%
3090000 61
2.9%
ValueCountFrequency (%)
3240000 125
5.9%
3230000 199
9.4%
3220000 256
12.1%
3210000 130
6.1%
3200000 71
 
3.4%
3190000 60
 
2.8%
3180000 84
 
4.0%
3170000 30
 
1.4%
3160000 56
 
2.6%
3150000 105
5.0%

관리번호
Real number (ℝ)

UNIQUE 

Distinct2117
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.1467265 × 1017
Minimum3 × 1017
Maximum3.24 × 1017
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.7 KiB
2024-04-30T03:48:40.605858image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3 × 1017
5-th percentile3.02 × 1017
Q13.09 × 1017
median3.15 × 1017
Q33.22 × 1017
95-th percentile3.24 × 1017
Maximum3.24 × 1017
Range2.4 × 1016
Interquartile range (IQR)1.3 × 1016

Descriptive statistics

Standard deviation7.2027138 × 1015
Coefficient of variation (CV)0.022889545
Kurtosis-1.1460729
Mean3.1467265 × 1017
Median Absolute Deviation (MAD)7 × 1015
Skewness-0.37118183
Sum2.0792155 × 1018
Variance5.1879086 × 1031
MonotonicityNot monotonic
2024-04-30T03:48:40.768799image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
315000001020200003 1
 
< 0.1%
318000001020030001 1
 
< 0.1%
319000001019990001 1
 
< 0.1%
319000001020090001 1
 
< 0.1%
319000001020170001 1
 
< 0.1%
318000001020150003 1
 
< 0.1%
318000001020150002 1
 
< 0.1%
318000001020150001 1
 
< 0.1%
318000001020140002 1
 
< 0.1%
318000001020130007 1
 
< 0.1%
Other values (2107) 2107
99.5%
ValueCountFrequency (%)
300000001019750001 1
< 0.1%
300000001019910001 1
< 0.1%
300000001019950001 1
< 0.1%
300000001019950002 1
< 0.1%
300000001019990001 1
< 0.1%
300000001020010001 1
< 0.1%
300000001020010002 1
< 0.1%
300000001020020001 1
< 0.1%
300000001020040001 1
< 0.1%
300000001020050001 1
< 0.1%
ValueCountFrequency (%)
324000001020240002 1
< 0.1%
324000001020240001 1
< 0.1%
324000001020230002 1
< 0.1%
324000001020230001 1
< 0.1%
324000001020220004 1
< 0.1%
324000001020220003 1
< 0.1%
324000001020220002 1
< 0.1%
324000001020220001 1
< 0.1%
324000001020210005 1
< 0.1%
324000001020210004 1
< 0.1%

인허가일자
Date

Distinct1732
Distinct (%)81.8%
Missing0
Missing (%)0.0%
Memory size16.7 KiB
Minimum1964-07-02 00:00:00
Maximum2024-04-15 00:00:00
2024-04-30T03:48:40.909102image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T03:48:41.045423image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2117
Missing (%)100.0%
Memory size18.7 KiB

영업상태코드
Categorical

Distinct4
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size16.7 KiB
3
1175 
1
929 
2
 
7
4
 
6

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
3 1175
55.5%
1 929
43.9%
2 7
 
0.3%
4 6
 
0.3%

Length

2024-04-30T03:48:41.159940image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T03:48:41.265506image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 1175
55.5%
1 929
43.9%
2 7
 
0.3%
4 6
 
0.3%

영업상태명
Categorical

Distinct4
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size16.7 KiB
폐업
1175 
영업/정상
929 
휴업
 
7
취소/말소/만료/정지/중지
 
6

Length

Max length14
Median length2
Mean length3.350496
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 1175
55.5%
영업/정상 929
43.9%
휴업 7
 
0.3%
취소/말소/만료/정지/중지 6
 
0.3%

Length

2024-04-30T03:48:41.387893image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T03:48:41.486010image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 1175
55.5%
영업/정상 929
43.9%
휴업 7
 
0.3%
취소/말소/만료/정지/중지 6
 
0.3%

상세영업상태코드
Categorical

Distinct4
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size16.7 KiB
2
1175 
0
929 
1
 
7
4
 
6

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
2 1175
55.5%
0 929
43.9%
1 7
 
0.3%
4 6
 
0.3%

Length

2024-04-30T03:48:41.655394image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T03:48:41.781707image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2 1175
55.5%
0 929
43.9%
1 7
 
0.3%
4 6
 
0.3%

상세영업상태명
Categorical

Distinct4
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size16.7 KiB
폐업
1175 
정상
929 
휴업
 
7
말소
 
6

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 1175
55.5%
정상 929
43.9%
휴업 7
 
0.3%
말소 6
 
0.3%

Length

2024-04-30T03:48:41.934654image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T03:48:42.083039image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 1175
55.5%
정상 929
43.9%
휴업 7
 
0.3%
말소 6
 
0.3%

폐업일자
Date

MISSING 

Distinct1009
Distinct (%)87.8%
Missing968
Missing (%)45.7%
Memory size16.7 KiB
Minimum2000-02-06 00:00:00
Maximum2024-04-01 00:00:00
2024-04-30T03:48:42.207025image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T03:48:42.333656image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

휴업시작일자
Date

MISSING 

Distinct7
Distinct (%)100.0%
Missing2110
Missing (%)99.7%
Memory size16.7 KiB
Minimum2009-04-20 00:00:00
Maximum2023-10-23 00:00:00
2024-04-30T03:48:42.435639image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T03:48:42.520097image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)

휴업종료일자
Date

MISSING 

Distinct6
Distinct (%)100.0%
Missing2111
Missing (%)99.7%
Memory size16.7 KiB
Minimum2010-04-20 00:00:00
Maximum2024-07-12 00:00:00
2024-04-30T03:48:42.600642image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T03:48:42.678859image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)

재개업일자
Categorical

IMBALANCE 

Distinct4
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size16.7 KiB
<NA>
2114 
20130523
 
1
20161110
 
1
20160907
 
1

Length

Max length8
Median length4
Mean length4.0056684
Min length4

Unique

Unique3 ?
Unique (%)0.1%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 2114
99.9%
20130523 1
 
< 0.1%
20161110 1
 
< 0.1%
20160907 1
 
< 0.1%

Length

2024-04-30T03:48:42.776689image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T03:48:42.870621image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 2114
99.9%
20130523 1
 
< 0.1%
20161110 1
 
< 0.1%
20160907 1
 
< 0.1%

전화번호
Text

MISSING 

Distinct1616
Distinct (%)83.8%
Missing188
Missing (%)8.9%
Memory size16.7 KiB
2024-04-30T03:48:43.075919image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length13
Mean length9.6241576
Min length7

Characters and Unicode

Total characters18565
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

Unique1388 ?
Unique (%)72.0%

Sample

1st row02-2235-1533
2nd row3665-5982
3rd row02-414-0075
4th row02-3427-6419
5th row02-358-1591
ValueCountFrequency (%)
3428-4036 11
 
0.6%
413-7119 5
 
0.3%
2208-7540 5
 
0.3%
02-501-8275 5
 
0.3%
2643-0283 5
 
0.3%
732-3827 5
 
0.3%
3662-8661 5
 
0.3%
2207-9181 4
 
0.2%
2060-0999 4
 
0.2%
426-1475 4
 
0.2%
Other values (1610) 1882
97.3%
2024-04-30T03:48:43.421571image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 2661
14.3%
2 2588
13.9%
5 2172
11.7%
0 2108
11.4%
7 1924
10.4%
8 1367
7.4%
3 1326
7.1%
4 1279
6.9%
6 1112
6.0%
9 1077
5.8%
Other values (5) 951
 
5.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 15887
85.6%
Dash Punctuation 2661
 
14.3%
Space Separator 6
 
< 0.1%
Math Symbol 5
 
< 0.1%
Close Punctuation 4
 
< 0.1%
Other Punctuation 2
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 2588
16.3%
5 2172
13.7%
0 2108
13.3%
7 1924
12.1%
8 1367
8.6%
3 1326
8.3%
4 1279
8.1%
6 1112
7.0%
9 1077
6.8%
1 934
 
5.9%
Dash Punctuation
ValueCountFrequency (%)
- 2661
100.0%
Space Separator
ValueCountFrequency (%)
6
100.0%
Math Symbol
ValueCountFrequency (%)
~ 5
100.0%
Close Punctuation
ValueCountFrequency (%)
) 4
100.0%
Other Punctuation
ValueCountFrequency (%)
, 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 18565
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 2661
14.3%
2 2588
13.9%
5 2172
11.7%
0 2108
11.4%
7 1924
10.4%
8 1367
7.4%
3 1326
7.1%
4 1279
6.9%
6 1112
6.0%
9 1077
5.8%
Other values (5) 951
 
5.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 18565
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 2661
14.3%
2 2588
13.9%
5 2172
11.7%
0 2108
11.4%
7 1924
10.4%
8 1367
7.4%
3 1326
7.1%
4 1279
6.9%
6 1112
6.0%
9 1077
5.8%
Other values (5) 951
 
5.1%

소재지면적
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct772
Distinct (%)38.6%
Missing117
Missing (%)5.5%
Infinite0
Infinite (%)0.0%
Mean240.42334
Minimum0
Maximum127232
Zeros1029
Zeros (%)48.6%
Negative0
Negative (%)0.0%
Memory size18.7 KiB
2024-04-30T03:48:43.544232image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q360
95-th percentile238.5
Maximum127232
Range127232
Interquartile range (IQR)60

Descriptive statistics

Standard deviation3869.106
Coefficient of variation (CV)16.092889
Kurtosis814.40099
Mean240.42334
Median Absolute Deviation (MAD)0
Skewness27.456239
Sum480846.67
Variance14969981
MonotonicityNot monotonic
2024-04-30T03:48:43.682990image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 1029
48.6%
60.0 9
 
0.4%
40.0 7
 
0.3%
66.0 7
 
0.3%
33.0 7
 
0.3%
1.0 7
 
0.3%
35.0 5
 
0.2%
80.0 5
 
0.2%
26.0 4
 
0.2%
63.0 4
 
0.2%
Other values (762) 916
43.3%
(Missing) 117
 
5.5%
ValueCountFrequency (%)
0.0 1029
48.6%
1.0 7
 
0.3%
7.45 1
 
< 0.1%
9.1 1
 
< 0.1%
11.5 3
 
0.1%
12.0 1
 
< 0.1%
12.1 2
 
0.1%
12.44 4
 
0.2%
12.5 1
 
< 0.1%
13.08 1
 
< 0.1%
ValueCountFrequency (%)
127232.0 1
< 0.1%
100364.0 1
< 0.1%
39800.57 1
< 0.1%
36862.0 1
< 0.1%
22437.0 1
< 0.1%
10829.64 1
< 0.1%
9053.0 1
< 0.1%
4717.94 1
< 0.1%
3859.24 1
< 0.1%
3760.0 1
< 0.1%

소재지우편번호
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2117
Missing (%)100.0%
Memory size18.7 KiB

지번주소
Text

MISSING 

Distinct1870
Distinct (%)91.4%
Missing70
Missing (%)3.3%
Memory size16.7 KiB
2024-04-30T03:48:43.959416image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length56
Median length46
Mean length25.911089
Min length14

Characters and Unicode

Total characters53040
Distinct characters419
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

Unique1739 ?
Unique (%)85.0%

Sample

1st row서울특별시 강서구 등촌동 680 한울빌딩
2nd row서울특별시 강서구 내발산동 655-12
3rd row서울특별시 송파구 방이동 124-8 남양빌딩
4th row서울특별시 강동구 고덕동 191-3
5th row서울특별시 은평구 갈현동 431-5
ValueCountFrequency (%)
서울특별시 2047
 
20.2%
강남구 256
 
2.5%
번지 216
 
2.1%
송파구 170
 
1.7%
1층 169
 
1.7%
서초구 130
 
1.3%
강서구 105
 
1.0%
양천구 104
 
1.0%
마포구 102
 
1.0%
강동구 101
 
1.0%
Other values (2906) 6745
66.5%
2024-04-30T03:48:44.549498image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
9815
18.5%
동 2470
 
4.7%
서 2407
 
4.5%
1 2387
 
4.5%
구 2152
 
4.1%
시 2089
 
3.9%
울 2062
 
3.9%
특 2047
 
3.9%
별 2047
 
3.9%
- 1690
 
3.2%
Other values (409) 23874
45.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 30706
57.9%
Decimal Number 10544
 
19.9%
Space Separator 9815
 
18.5%
Dash Punctuation 1690
 
3.2%
Uppercase Letter 144
 
0.3%
Other Punctuation 68
 
0.1%
Open Punctuation 32
 
0.1%
Close Punctuation 32
 
0.1%
Lowercase Letter 5
 
< 0.1%
Math Symbol 4
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 2470
 
8.0%
서 2407
 
7.8%
구 2152
 
7.0%
시 2089
 
6.8%
울 2062
 
6.7%
특 2047
 
6.7%
별 2047
 
6.7%
지 1466
 
4.8%
번 1336
 
4.4%
강 540
 
1.8%
Other values (364) 12090
39.4%
Uppercase Letter
ValueCountFrequency (%)
B 27
18.8%
A 17
11.8%
M 14
9.7%
C 13
9.0%
E 11
 
7.6%
S 9
 
6.2%
D 8
 
5.6%
J 5
 
3.5%
T 5
 
3.5%
P 4
 
2.8%
Other values (13) 31
21.5%
Decimal Number
ValueCountFrequency (%)
1 2387
22.6%
2 1487
14.1%
3 1145
10.9%
0 958
9.1%
4 946
 
9.0%
6 841
 
8.0%
5 837
 
7.9%
7 706
 
6.7%
9 653
 
6.2%
8 584
 
5.5%
Lowercase Letter
ValueCountFrequency (%)
e 2
40.0%
c 1
20.0%
k 1
20.0%
s 1
20.0%
Other Punctuation
ValueCountFrequency (%)
, 63
92.6%
/ 3
 
4.4%
. 2
 
2.9%
Space Separator
ValueCountFrequency (%)
9815
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1690
100.0%
Open Punctuation
ValueCountFrequency (%)
( 32
100.0%
Close Punctuation
ValueCountFrequency (%)
) 32
100.0%
Math Symbol
ValueCountFrequency (%)
~ 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 30706
57.9%
Common 22185
41.8%
Latin 149
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 2470
 
8.0%
서 2407
 
7.8%
구 2152
 
7.0%
시 2089
 
6.8%
울 2062
 
6.7%
특 2047
 
6.7%
별 2047
 
6.7%
지 1466
 
4.8%
번 1336
 
4.4%
강 540
 
1.8%
Other values (364) 12090
39.4%
Latin
ValueCountFrequency (%)
B 27
18.1%
A 17
11.4%
M 14
 
9.4%
C 13
 
8.7%
E 11
 
7.4%
S 9
 
6.0%
D 8
 
5.4%
J 5
 
3.4%
T 5
 
3.4%
P 4
 
2.7%
Other values (17) 36
24.2%
Common
ValueCountFrequency (%)
9815
44.2%
1 2387
 
10.8%
- 1690
 
7.6%
2 1487
 
6.7%
3 1145
 
5.2%
0 958
 
4.3%
4 946
 
4.3%
6 841
 
3.8%
5 837
 
3.8%
7 706
 
3.2%
Other values (8) 1373
 
6.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 30706
57.9%
ASCII 22334
42.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
9815
43.9%
1 2387
 
10.7%
- 1690
 
7.6%
2 1487
 
6.7%
3 1145
 
5.1%
0 958
 
4.3%
4 946
 
4.2%
6 841
 
3.8%
5 837
 
3.7%
7 706
 
3.2%
Other values (35) 1522
 
6.8%
Hangul
ValueCountFrequency (%)
동 2470
 
8.0%
서 2407
 
7.8%
구 2152
 
7.0%
시 2089
 
6.8%
울 2062
 
6.7%
특 2047
 
6.7%
별 2047
 
6.7%
지 1466
 
4.8%
번 1336
 
4.4%
강 540
 
1.8%
Other values (364) 12090
39.4%

도로명주소
Text

MISSING 

Distinct1592
Distinct (%)92.3%
Missing393
Missing (%)18.6%
Memory size16.7 KiB
2024-04-30T03:48:44.855768image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length75
Median length55.5
Mean length30.606729
Min length21

Characters and Unicode

Total characters52766
Distinct characters463
Distinct categories11 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1488 ?
Unique (%)86.3%

Sample

1st row서울특별시 강서구 강서로62길 10, 한울빌딩 1층 (등촌동)
2nd row서울특별시 강서구 강서로 333, 104호 105호 (내발산동)
3rd row서울특별시 송파구 오금로 203, 남양빌딩 (방이동)
4th row서울특별시 강동구 고덕로83길 32, 2층 (고덕동)
5th row서울특별시 은평구 연서로29길 24, 2층 (갈현동)
ValueCountFrequency (%)
서울특별시 1723
 
16.5%
1층 300
 
2.9%
강남구 224
 
2.1%
송파구 167
 
1.6%
2층 117
 
1.1%
서초구 105
 
1.0%
강서구 99
 
0.9%
양천구 91
 
0.9%
마포구 89
 
0.8%
강동구 80
 
0.8%
Other values (2441) 7479
71.4%
2024-04-30T03:48:45.298990image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
8753
 
16.6%
동 2277
 
4.3%
서 2141
 
4.1%
1 2065
 
3.9%
구 1845
 
3.5%
로 1837
 
3.5%
시 1775
 
3.4%
) 1743
 
3.3%
( 1743
 
3.3%
울 1741
 
3.3%
Other values (453) 26846
50.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 31155
59.0%
Space Separator 8753
 
16.6%
Decimal Number 7635
 
14.5%
Close Punctuation 1743
 
3.3%
Open Punctuation 1743
 
3.3%
Other Punctuation 1412
 
2.7%
Uppercase Letter 156
 
0.3%
Dash Punctuation 151
 
0.3%
Math Symbol 11
 
< 0.1%
Lowercase Letter 4
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 2277
 
7.3%
서 2141
 
6.9%
구 1845
 
5.9%
로 1837
 
5.9%
시 1775
 
5.7%
울 1741
 
5.6%
특 1723
 
5.5%
별 1723
 
5.5%
층 665
 
2.1%
강 534
 
1.7%
Other values (409) 14894
47.8%
Uppercase Letter
ValueCountFrequency (%)
B 35
22.4%
A 18
11.5%
M 17
10.9%
C 14
 
9.0%
D 11
 
7.1%
E 10
 
6.4%
S 9
 
5.8%
T 6
 
3.8%
O 4
 
2.6%
I 4
 
2.6%
Other values (13) 28
17.9%
Decimal Number
ValueCountFrequency (%)
1 2065
27.0%
2 1224
16.0%
3 771
 
10.1%
0 758
 
9.9%
4 622
 
8.1%
6 512
 
6.7%
5 509
 
6.7%
7 437
 
5.7%
8 379
 
5.0%
9 358
 
4.7%
Lowercase Letter
ValueCountFrequency (%)
e 2
50.0%
k 1
25.0%
s 1
25.0%
Other Punctuation
ValueCountFrequency (%)
, 1410
99.9%
/ 2
 
0.1%
Space Separator
ValueCountFrequency (%)
8753
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1743
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1743
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 151
100.0%
Math Symbol
ValueCountFrequency (%)
~ 11
100.0%
Letter Number
ValueCountFrequency (%)
Ⅰ 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 31155
59.0%
Common 21448
40.6%
Latin 163
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 2277
 
7.3%
서 2141
 
6.9%
구 1845
 
5.9%
로 1837
 
5.9%
시 1775
 
5.7%
울 1741
 
5.6%
특 1723
 
5.5%
별 1723
 
5.5%
층 665
 
2.1%
강 534
 
1.7%
Other values (409) 14894
47.8%
Latin
ValueCountFrequency (%)
B 35
21.5%
A 18
11.0%
M 17
10.4%
C 14
 
8.6%
D 11
 
6.7%
E 10
 
6.1%
S 9
 
5.5%
T 6
 
3.7%
O 4
 
2.5%
I 4
 
2.5%
Other values (17) 35
21.5%
Common
ValueCountFrequency (%)
8753
40.8%
1 2065
 
9.6%
) 1743
 
8.1%
( 1743
 
8.1%
, 1410
 
6.6%
2 1224
 
5.7%
3 771
 
3.6%
0 758
 
3.5%
4 622
 
2.9%
6 512
 
2.4%
Other values (7) 1847
 
8.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 31155
59.0%
ASCII 21608
41.0%
Number Forms 3
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
8753
40.5%
1 2065
 
9.6%
) 1743
 
8.1%
( 1743
 
8.1%
, 1410
 
6.5%
2 1224
 
5.7%
3 771
 
3.6%
0 758
 
3.5%
4 622
 
2.9%
6 512
 
2.4%
Other values (33) 2007
 
9.3%
Hangul
ValueCountFrequency (%)
동 2277
 
7.3%
서 2141
 
6.9%
구 1845
 
5.9%
로 1837
 
5.9%
시 1775
 
5.7%
울 1741
 
5.6%
특 1723
 
5.5%
별 1723
 
5.5%
층 665
 
2.1%
강 534
 
1.7%
Other values (409) 14894
47.8%
Number Forms
ValueCountFrequency (%)
Ⅰ 3
100.0%

도로명우편번호
Text

MISSING 

Distinct988
Distinct (%)71.9%
Missing743
Missing (%)35.1%
Memory size16.7 KiB
2024-04-30T03:48:45.621210image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length5
Mean length5.0043668
Min length5

Characters and Unicode

Total characters6876
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

Unique711 ?
Unique (%)51.7%

Sample

1st row07583
2nd row07632
3rd row05643
4th row05222
5th row03330
ValueCountFrequency (%)
04101 7
 
0.5%
06068 6
 
0.4%
03042 6
 
0.4%
05350 5
 
0.4%
07340 5
 
0.4%
03409 5
 
0.4%
07937 4
 
0.3%
08793 4
 
0.3%
01630 4
 
0.3%
03306 4
 
0.3%
Other values (978) 1324
96.4%
2024-04-30T03:48:46.077101image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 1877
27.3%
6 690
 
10.0%
7 655
 
9.5%
5 650
 
9.5%
3 621
 
9.0%
2 559
 
8.1%
4 531
 
7.7%
1 508
 
7.4%
8 423
 
6.2%
9 361
 
5.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 6875
> 99.9%
Dash Punctuation 1
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 1877
27.3%
6 690
 
10.0%
7 655
 
9.5%
5 650
 
9.5%
3 621
 
9.0%
2 559
 
8.1%
4 531
 
7.7%
1 508
 
7.4%
8 423
 
6.2%
9 361
 
5.3%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 6876
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 1877
27.3%
6 690
 
10.0%
7 655
 
9.5%
5 650
 
9.5%
3 621
 
9.0%
2 559
 
8.1%
4 531
 
7.7%
1 508
 
7.4%
8 423
 
6.2%
9 361
 
5.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 6876
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 1877
27.3%
6 690
 
10.0%
7 655
 
9.5%
5 650
 
9.5%
3 621
 
9.0%
2 559
 
8.1%
4 531
 
7.7%
1 508
 
7.4%
8 423
 
6.2%
9 361
 
5.3%

사업장명
Text

Distinct1539
Distinct (%)72.7%
Missing0
Missing (%)0.0%
Memory size16.7 KiB
2024-04-30T03:48:46.305740image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length28
Median length22
Mean length7.697213
Min length3

Characters and Unicode

Total characters16295
Distinct characters563
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

Unique1244 ?
Unique (%)58.8%

Sample

1st row차지우동물병원
2nd row박동물병원
3rd row페토피아종합동물병원
4th row피카소동물병원
5th row도그원동물의료센터
ValueCountFrequency (%)
동물병원 255
 
9.8%
24시 38
 
1.5%
동물의료센터 32
 
1.2%
쿨펫동물병원 25
 
1.0%
하나동물병원 15
 
0.6%
사랑동물병원 12
 
0.5%
서울동물병원 11
 
0.4%
우리동물병원 11
 
0.4%
신세대동물병원 9
 
0.3%
튼튼동물병원 8
 
0.3%
Other values (1593) 2193
84.1%
2024-04-30T03:48:46.632393image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
동 2122
 
13.0%
물 2077
 
12.7%
원 1935
 
11.9%
병 1873
 
11.5%
492
 
3.0%
터 234
 
1.4%
센 203
 
1.2%
이 177
 
1.1%
종 177
 
1.1%
합 171
 
1.0%
Other values (553) 6834
41.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 15207
93.3%
Space Separator 492
 
3.0%
Decimal Number 205
 
1.3%
Uppercase Letter 193
 
1.2%
Lowercase Letter 90
 
0.6%
Open Punctuation 36
 
0.2%
Close Punctuation 36
 
0.2%
Other Punctuation 29
 
0.2%
Dash Punctuation 5
 
< 0.1%
Math Symbol 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 2122
 
14.0%
물 2077
 
13.7%
원 1935
 
12.7%
병 1873
 
12.3%
터 234
 
1.5%
센 203
 
1.3%
이 177
 
1.2%
종 177
 
1.2%
합 171
 
1.1%
의 171
 
1.1%
Other values (489) 6067
39.9%
Uppercase Letter
ValueCountFrequency (%)
D 21
 
10.9%
S 17
 
8.8%
P 14
 
7.3%
C 14
 
7.3%
K 14
 
7.3%
I 12
 
6.2%
A 12
 
6.2%
V 12
 
6.2%
O 10
 
5.2%
T 9
 
4.7%
Other values (15) 58
30.1%
Lowercase Letter
ValueCountFrequency (%)
r 15
16.7%
e 10
11.1%
a 9
10.0%
t 8
 
8.9%
o 7
 
7.8%
i 5
 
5.6%
n 5
 
5.6%
p 4
 
4.4%
m 4
 
4.4%
l 3
 
3.3%
Other values (10) 20
22.2%
Decimal Number
ValueCountFrequency (%)
2 93
45.4%
4 76
37.1%
5 14
 
6.8%
1 9
 
4.4%
6 4
 
2.0%
3 4
 
2.0%
0 4
 
2.0%
9 1
 
0.5%
Other Punctuation
ValueCountFrequency (%)
. 16
55.2%
& 6
 
20.7%
' 3
 
10.3%
; 2
 
6.9%
, 1
 
3.4%
/ 1
 
3.4%
Space Separator
ValueCountFrequency (%)
492
100.0%
Open Punctuation
ValueCountFrequency (%)
( 36
100.0%
Close Punctuation
ValueCountFrequency (%)
) 36
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 5
100.0%
Math Symbol
ValueCountFrequency (%)
+ 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 15207
93.3%
Common 805
 
4.9%
Latin 283
 
1.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 2122
 
14.0%
물 2077
 
13.7%
원 1935
 
12.7%
병 1873
 
12.3%
터 234
 
1.5%
센 203
 
1.3%
이 177
 
1.2%
종 177
 
1.2%
합 171
 
1.1%
의 171
 
1.1%
Other values (489) 6067
39.9%
Latin
ValueCountFrequency (%)
D 21
 
7.4%
S 17
 
6.0%
r 15
 
5.3%
P 14
 
4.9%
C 14
 
4.9%
K 14
 
4.9%
I 12
 
4.2%
A 12
 
4.2%
V 12
 
4.2%
e 10
 
3.5%
Other values (35) 142
50.2%
Common
ValueCountFrequency (%)
492
61.1%
2 93
 
11.6%
4 76
 
9.4%
( 36
 
4.5%
) 36
 
4.5%
. 16
 
2.0%
5 14
 
1.7%
1 9
 
1.1%
& 6
 
0.7%
- 5
 
0.6%
Other values (9) 22
 
2.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 15207
93.3%
ASCII 1088
 
6.7%

Most frequent character per block

Hangul
ValueCountFrequency (%)
동 2122
 
14.0%
물 2077
 
13.7%
원 1935
 
12.7%
병 1873
 
12.3%
터 234
 
1.5%
센 203
 
1.3%
이 177
 
1.2%
종 177
 
1.2%
합 171
 
1.1%
의 171
 
1.1%
Other values (489) 6067
39.9%
ASCII
ValueCountFrequency (%)
492
45.2%
2 93
 
8.5%
4 76
 
7.0%
( 36
 
3.3%
) 36
 
3.3%
D 21
 
1.9%
S 17
 
1.6%
. 16
 
1.5%
r 15
 
1.4%
P 14
 
1.3%
Other values (54) 272
25.0%

최종수정일자
Date

UNIQUE 

Distinct2117
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size16.7 KiB
Minimum2003-02-03 16:03:39
Maximum2024-04-25 15:59:14
2024-04-30T03:48:46.756765image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T03:48:46.876907image/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 size16.7 KiB
I
1150 
U
967 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
I 1150
54.3%
U 967
45.7%

Length

2024-04-30T03:48:46.985142image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T03:48:47.059174image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 1150
54.3%
u 967
45.7%

데이터갱신일자
Date

Distinct557
Distinct (%)26.3%
Missing0
Missing (%)0.0%
Memory size16.7 KiB
Minimum2018-08-31 23:59:59
Maximum2023-12-04 00:07:00
2024-04-30T03:48:47.152000image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T03:48:47.296454image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2117
Missing (%)100.0%
Memory size18.7 KiB

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct1434
Distinct (%)77.1%
Missing257
Missing (%)12.1%
Infinite0
Infinite (%)0.0%
Mean200152.77
Minimum182735.79
Maximum215401.06
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.7 KiB
2024-04-30T03:48:47.414795image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum182735.79
5-th percentile186360.15
Q1193272.84
median201901.9
Q3205981.06
95-th percentile212138.11
Maximum215401.06
Range32665.277
Interquartile range (IQR)12708.216

Descriptive statistics

Standard deviation7911.2255
Coefficient of variation (CV)0.039525936
Kurtosis-0.93187163
Mean200152.77
Median Absolute Deviation (MAD)5861.4558
Skewness-0.26799014
Sum3.7228415 × 108
Variance62587488
MonotonicityNot monotonic
2024-04-30T03:48:47.551530image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
212845.87675862 9
 
0.4%
196762.077394917 8
 
0.4%
197364.614476836 6
 
0.3%
188729.190478822 6
 
0.3%
194439.905305796 6
 
0.3%
212812.958062523 5
 
0.2%
202168.543537977 5
 
0.2%
205980.489521086 5
 
0.2%
192051.837086207 5
 
0.2%
192636.223179119 5
 
0.2%
Other values (1424) 1800
85.0%
(Missing) 257
 
12.1%
ValueCountFrequency (%)
182735.786874703 2
0.1%
182937.208431243 1
< 0.1%
182940.920862598 2
0.1%
183107.33334969 2
0.1%
183220.714993516 1
< 0.1%
183275.424160871 1
< 0.1%
183277.347085649 1
< 0.1%
183293.119336781 1
< 0.1%
183303.719485607 1
< 0.1%
183306.751602566 1
< 0.1%
ValueCountFrequency (%)
215401.064224577 1
< 0.1%
215379.100058 2
0.1%
215227.409207117 1
< 0.1%
215162.624131128 1
< 0.1%
215109.220020478 2
0.1%
215101.359476309 1
< 0.1%
214989.297025493 1
< 0.1%
214980.063657194 1
< 0.1%
214958.713997465 2
0.1%
214846.333741577 1
< 0.1%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct1434
Distinct (%)77.1%
Missing257
Missing (%)12.1%
Infinite0
Infinite (%)0.0%
Mean448958.83
Minimum354066.53
Maximum464474.91
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.7 KiB
2024-04-30T03:48:47.679872image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum354066.53
5-th percentile441997.21
Q1444758.27
median448012.41
Q3451972.15
95-th percentile460805.15
Maximum464474.91
Range110408.38
Interquartile range (IQR)7213.8816

Descriptive statistics

Standard deviation5916.9457
Coefficient of variation (CV)0.013179261
Kurtosis34.919425
Mean448958.83
Median Absolute Deviation (MAD)3469.2914
Skewness-1.5940852
Sum8.3506343 × 108
Variance35010247
MonotonicityNot monotonic
2024-04-30T03:48:47.796394image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
449772.477083199 9
 
0.4%
447480.039577359 8
 
0.4%
453303.293915738 6
 
0.3%
447572.610039376 6
 
0.3%
450321.511793847 6
 
0.3%
449385.82250249 5
 
0.2%
446313.865050094 5
 
0.2%
443997.301828734 5
 
0.2%
451527.748667617 5
 
0.2%
455316.428545363 5
 
0.2%
Other values (1424) 1800
85.0%
(Missing) 257
 
12.1%
ValueCountFrequency (%)
354066.533695 1
< 0.1%
438012.1279662 1
< 0.1%
438484.863131835 1
< 0.1%
438600.409604547 1
< 0.1%
438676.781166336 1
< 0.1%
438698.076775583 1
< 0.1%
438832.871467502 1
< 0.1%
438865.160717275 1
< 0.1%
438938.604807179 1
< 0.1%
438942.619642611 1
< 0.1%
ValueCountFrequency (%)
464474.910004698 3
0.1%
464460.396523556 1
 
< 0.1%
464356.527197506 1
 
< 0.1%
463887.942604325 1
 
< 0.1%
463621.090034536 1
 
< 0.1%
463557.063006557 1
 
< 0.1%
463464.81234366 2
0.1%
463402.191962795 2
0.1%
463362.584769324 1
 
< 0.1%
463328.861363197 1
 
< 0.1%

축산업무구분명
Categorical

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size16.7 KiB
동물병원
1609 
<NA>
508 

Length

Max length4
Median length4
Mean length4
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 (%)
동물병원 1609
76.0%
<NA> 508
 
24.0%

Length

2024-04-30T03:48:47.910571image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T03:48:48.007595image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
동물병원 1609
76.0%
na 508
 
24.0%

축산물가공업구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2117
Missing (%)100.0%
Memory size18.7 KiB

축산일련번호
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2117
Missing (%)100.0%
Memory size18.7 KiB

권리주체일련번호
Categorical

Distinct3
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size16.7 KiB
000
1571 
<NA>
513 
L00
 
33

Length

Max length4
Median length3
Mean length3.242324
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
000 1571
74.2%
<NA> 513
 
24.2%
L00 33
 
1.6%

Length

2024-04-30T03:48:48.093897image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T03:48:48.177845image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
000 1571
74.2%
na 513
 
24.2%
l00 33
 
1.6%

총인원
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size16.7 KiB
<NA>
1936 
0
 
181

Length

Max length4
Median length4
Mean length3.743505
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> 1936
91.5%
0 181
 
8.5%

Length

2024-04-30T03:48:48.283355image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T03:48:48.386040image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 1936
91.5%
0 181
 
8.5%

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)축산업무구분명축산물가공업구분명축산일련번호권리주체일련번호총인원
031500003150000010202000032020-06-16<NA>1영업/정상0정상<NA><NA><NA><NA>02-2235-1533<NA><NA>서울특별시 강서구 등촌동 680 한울빌딩서울특별시 강서구 강서로62길 10, 한울빌딩 1층 (등촌동)07583차지우동물병원2023-03-01 17:19:34U2022-12-03 00:03:00.0<NA>185831.959022451192.093585<NA><NA><NA><NA><NA>
131500003150000010200200072002-12-05<NA>1영업/정상0정상<NA><NA><NA><NA>3665-59820.0<NA>서울특별시 강서구 내발산동 655-12서울특별시 강서구 강서로 333, 104호 105호 (내발산동)07632박동물병원2023-02-28 17:53:20U2022-12-03 00:03:00.0<NA>185521.368171450368.363434<NA><NA><NA><NA><NA>
232300003230000010199300021993-07-02<NA>1영업/정상0정상<NA><NA><NA><NA>02-414-00750.0<NA>서울특별시 송파구 방이동 124-8 남양빌딩서울특별시 송파구 오금로 203, 남양빌딩 (방이동)05643페토피아종합동물병원2023-02-28 15:01:48U2022-12-03 00:03:00.0<NA>210245.052535445108.572829<NA><NA><NA><NA><NA>
332400003240000010202300012023-03-07<NA>1영업/정상0정상<NA><NA><NA><NA>02-3427-6419<NA><NA>서울특별시 강동구 고덕동 191-3서울특별시 강동구 고덕로83길 32, 2층 (고덕동)05222피카소동물병원2023-03-07 10:38:17I2022-12-03 00:09:00.0<NA>214846.333742450705.800053<NA><NA><NA><NA><NA>
431100003110000010202300032023-09-27<NA>1영업/정상0정상<NA><NA><NA><NA>02-358-1591<NA><NA>서울특별시 은평구 갈현동 431-5서울특별시 은평구 연서로29길 24, 2층 (갈현동)03330도그원동물의료센터2023-09-27 17:41:13I2022-12-08 22:09:00.0<NA>192667.438048457480.990068<NA><NA><NA><NA><NA>
531500003150000010202400012024-01-23<NA>1영업/정상0정상<NA><NA><NA><NA>02-2065-758567.28<NA>서울특별시 강서구 화곡동 1165-1 강서힐스테이트 상가동 219호서울특별시 강서구 강서로 242, 상가동 219호 (화곡동, 강서힐스테이트)07694강서 더힐 동물병원2024-01-23 14:46:50I2023-11-30 22:05:00.0<NA>185509.165466449450.069695<NA><NA><NA><NA><NA>
631600003160000010202000032020-05-15<NA>1영업/정상0정상<NA><NA><NA><NA>02-2636-76450.0<NA>서울특별시 구로구 구로동 631-23 서울반려동물교육센터서울특별시 구로구 경인로 472, 서울반려동물교육센터 (구로동)08278서울동물복지지원센터 동물병원(구로)2024-01-16 17:30:02U2023-11-30 23:08:00.0<NA>188524.151598443977.171491<NA><NA><NA><NA><NA>
730200003020000010202300022023-03-16<NA>1영업/정상0정상<NA><NA><NA><NA><NA>102.53<NA>서울특별시 용산구 한강로3가 98서울특별시 용산구 서빙고로 17, 헤링턴스퀘어 센트럴파크 몰동 1146, 1147호 (한강로3가)04387에스동물병원2023-03-16 18:43:31I2022-12-02 23:08:00.0<NA>197056.728931447077.126289<NA><NA><NA><NA><NA>
832200003220000010202000042020-08-12<NA>3폐업2폐업2023-03-16<NA><NA><NA>02-571-4478<NA><NA>서울특별시 강남구 도곡동 517-3 보석빌딩 202호서울특별시 강남구 논현로28길 37, 보석빌딩 202호 (도곡동)06301대성동물약품병원2023-03-16 18:08:18U2022-12-02 23:08:00.0<NA>203898.465429442452.178802<NA><NA><NA><NA><NA>
930900003090000010201800062018-11-15<NA>1영업/정상0정상<NA><NA><NA><NA>955-84000.0<NA>서울특별시 도봉구 도봉동 562-26서울특별시 도봉구 도봉로 875 (도봉동)01304도담동물병원2023-03-16 13:38:50U2022-12-02 23:08:00.0<NA>203947.714822464474.910005<NA><NA><NA><NA><NA>
개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)축산업무구분명축산물가공업구분명축산일련번호권리주체일련번호총인원
2107323000032300000102010000320100716<NA>1영업/정상0정상<NA><NA><NA><NA>02-417-30210.0<NA>서울특별시 송파구 방이동 181 태평양파크빌라트서울특별시 송파구 위례성대로 102, 2층 202호 (방이동, 태평양파크빌라트)05637스킨앤이어동물병원2022-05-31 12:16:41U2021-12-06 00:02:00.0<NA>210806.178802445687.287777<NA><NA><NA><NA><NA>
210832300003230000010201400022014-05-21<NA>1영업/정상0정상<NA><NA><NA><NA>02-2203-79750.0<NA>서울특별시 송파구 석촌동 2-9 금보 1층서울특별시 송파구 삼학사로 88, 금보 1층 (석촌동)05612잠실베스트동물메디컬센터2023-07-13 09:28:20U2022-12-06 23:06:00.0<NA>208542.141643444755.616935<NA><NA><NA><NA><NA>
210932000003200000010200200012002-03-28<NA>1영업/정상0정상<NA><NA><NA><NA>02-874-35350.0<NA>서울특별시 관악구 봉천동 959-9 제이에스빌딩서울특별시 관악구 남부순환로191길 6, 제이에스빌딩 1층 (봉천동)08756양지동물병원2023-08-02 17:51:53U2022-12-08 00:05:00.0<NA>194128.54277442576.937599<NA><NA><NA><NA><NA>
211032300003230000010202200042022-05-04<NA>3폐업2폐업2023-09-11<NA><NA><NA>02-6956-52590.0<NA>서울특별시 송파구 오금동 1 홍일빌딩서울특별시 송파구 양재대로 1164, 홍일빌딩 2층 (오금동)05652엘리트 동물의료센터2023-09-11 17:25:43U2022-12-08 23:03:00.0<NA>211282.308703445435.901904<NA><NA><NA><NA><NA>
211132300003230000010201800102018-11-13<NA>1영업/정상0정상<NA><NA><NA><NA>02-2088-7775261.33<NA>서울특별시 송파구 방이동 108-7서울특별시 송파구 오금로 147 (방이동)05550샤인동물메디컬센터2024-01-19 14:18:09U2023-11-30 22:01:00.0<NA>209787.947726445412.46295<NA><NA><NA><NA><NA>
211230900003090000010201300022013-09-04<NA>1영업/정상0정상<NA><NA><NA><NA>2038-99800.0<NA>서울특별시 도봉구 창동 75-4서울특별시 도봉구 노해로65길 14, 1층, 지층 (창동, 영일빌딩)01405하비동물병원2024-01-04 11:18:48U2023-12-01 00:06:00.0<NA>204036.762202461074.834638<NA><NA><NA><NA><NA>
211332000003200000010199100011991-04-30<NA>1영업/정상0정상<NA><NA><NA><NA>02-889-057551.66<NA>서울특별시 관악구 봉천동 923-23서울특별시 관악구 남부순환로 1747-1 (봉천동)08757형제동물의료센터2023-10-27 15:16:46U2022-10-30 22:09:00.0<NA>194993.179667442244.266085<NA><NA><NA><NA><NA>
211432100003210000010200300032003-02-04<NA>1영업/정상0정상<NA><NA><NA><NA>3473-8274188.0<NA>서울특별시 서초구 방배동 898-3서울특별시 서초구 서초대로 108, 2층 (방배동)06664내방동물병원2024-04-04 10:49:40U2023-12-04 00:06:00.0<NA>199410.881389442807.588411<NA><NA><NA><NA><NA>
2115323000032300000101991000219910330<NA>1영업/정상0정상<NA><NA><NA><NA>02-414-75880.0<NA>서울특별시 송파구 잠실동 175-12 올림픽타워 101호서울특별시 송파구 올림픽로 88, 올림픽타워 101호 (잠실동)05556희망종합동물병원2022-12-27 11:15:38U2021-11-01 22:09:00.0<NA>207048.638189445470.105611<NA><NA><NA><NA><NA>
211632200003220000010202200012022-03-15<NA>3폐업2폐업2024-01-02<NA><NA><NA>02-562-7959246.88<NA>서울특별시 강남구 역삼동 725-29 제이유34서울특별시 강남구 테헤란로34길 26, 제이유34 2층 (역삼동)06223우쭈쭈동물건강검진센터 역삼점2024-01-03 09:49:44U2023-12-01 00:06:00.0<NA>203513.056528444190.759645<NA><NA><NA><NA><NA>