Overview

Dataset statistics

Number of variables14
Number of observations177
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory20.0 KiB
Average record size in memory115.7 B

Variable types

Categorical5
DateTime3
Text5
Numeric1

Dataset

Description서울특별시 송파구_동물병원 인허가 정보에 대한 데이터로 관리번호, 인허가일자, 인허가취소일자, 영업상태코드, 영업상태명, 상세영업상태코드, 상세영업상태명 등에 항목으로 제공합니다.
Author서울특별시 송파구
URLhttps://www.data.go.kr/data/15090389/fileData.do

Alerts

개방자치단체코드 has constant value ""Constant
관리번호 has constant value ""Constant
최종수정일자 has constant value ""Constant
데이터갱신일자 has constant value ""Constant
축산업무구분명 has constant value ""Constant
상세영업상태명 is highly overall correlated with 영업상태명High correlation
영업상태명 is highly overall correlated with 상세영업상태명High correlation
소재지면적 has 127 (71.8%) zerosZeros

Reproduction

Analysis started2023-12-12 04:40:32.572075
Analysis finished2023-12-12 04:40:33.926655
Duration1.35 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
3230000
177 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3230000
2nd row3230000
3rd row3230000
4th row3230000
5th row3230000

Common Values

ValueCountFrequency (%)
3230000 177
100.0%

Length

2023-12-12T13:40:34.084740image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T13:40:34.228577image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3230000 177
100.0%

관리번호
Categorical

CONSTANT 

Distinct1
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
3230000
177 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3230000
2nd row3230000
3rd row3230000
4th row3230000
5th row3230000

Common Values

ValueCountFrequency (%)
3230000 177
100.0%

Length

2023-12-12T13:40:34.341722image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T13:40:34.473540image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3230000 177
100.0%

인허가일자
Date

Distinct170
Distinct (%)96.0%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
Minimum1987-09-10 00:00:00
Maximum2021-09-06 00:00:00
2023-12-12T13:40:34.614464image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:40:34.830126image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

영업상태명
Categorical

HIGH CORRELATION 

Distinct2
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
폐업
109 
정상
68 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 109
61.6%
정상 68
38.4%

Length

2023-12-12T13:40:34.991397image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T13:40:35.138853image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 109
61.6%
정상 68
38.4%

상세영업상태명
Categorical

HIGH CORRELATION 

Distinct2
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
폐업
109 
정상
68 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 109
61.6%
정상 68
38.4%

Length

2023-12-12T13:40:35.283062image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T13:40:35.403423image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 109
61.6%
정상 68
38.4%

폐업일자
Text

Distinct107
Distinct (%)60.5%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
2023-12-12T13:40:35.654646image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length10
Median length10
Mean length6.5423729
Min length1

Characters and Unicode

Total characters1158
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

Unique104 ?
Unique (%)58.8%

Sample

1st row2009-10-22
2nd row2016-03-18
3rd row2000-06-01
4th row2001-10-10
5th row0
ValueCountFrequency (%)
0 68
38.4%
2003-06-05 3
 
1.7%
2011-06-28 2
 
1.1%
2019-04-11 1
 
0.6%
2012-03-16 1
 
0.6%
2019-02-07 1
 
0.6%
2009-11-24 1
 
0.6%
2010-04-07 1
 
0.6%
2011-01-31 1
 
0.6%
2012-01-30 1
 
0.6%
Other values (97) 97
54.8%
2023-12-12T13:40:36.085571image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 362
31.3%
- 218
18.8%
2 192
16.6%
1 182
15.7%
3 36
 
3.1%
7 32
 
2.8%
8 30
 
2.6%
6 27
 
2.3%
5 27
 
2.3%
4 26
 
2.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 940
81.2%
Dash Punctuation 218
 
18.8%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 362
38.5%
2 192
20.4%
1 182
19.4%
3 36
 
3.8%
7 32
 
3.4%
8 30
 
3.2%
6 27
 
2.9%
5 27
 
2.9%
4 26
 
2.8%
9 26
 
2.8%
Dash Punctuation
ValueCountFrequency (%)
- 218
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1158
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 362
31.3%
- 218
18.8%
2 192
16.6%
1 182
15.7%
3 36
 
3.1%
7 32
 
2.8%
8 30
 
2.6%
6 27
 
2.3%
5 27
 
2.3%
4 26
 
2.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1158
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 362
31.3%
- 218
18.8%
2 192
16.6%
1 182
15.7%
3 36
 
3.1%
7 32
 
2.8%
8 30
 
2.6%
6 27
 
2.3%
5 27
 
2.3%
4 26
 
2.2%

전화번호
Text

Distinct67
Distinct (%)37.9%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
2023-12-12T13:40:36.372798image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length1
Mean length5.0112994
Min length1

Characters and Unicode

Total characters887
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

Unique65 ?
Unique (%)36.7%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row02-404-6123
ValueCountFrequency (%)
0 110
62.1%
0507-1487-7975 2
 
1.1%
02-1566-8713 1
 
0.6%
02-402-3270 1
 
0.6%
02-419-1010 1
 
0.6%
02-401-7579 1
 
0.6%
0507-1402-7571 1
 
0.6%
02-418-0724 1
 
0.6%
02-6925-5475 1
 
0.6%
02-414-7975 1
 
0.6%
Other values (57) 57
32.2%
2023-12-12T13:40:36.933651image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 247
27.8%
- 134
15.1%
2 111
12.5%
4 79
 
8.9%
5 75
 
8.5%
7 74
 
8.3%
1 48
 
5.4%
8 41
 
4.6%
3 38
 
4.3%
9 22
 
2.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 753
84.9%
Dash Punctuation 134
 
15.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 247
32.8%
2 111
14.7%
4 79
 
10.5%
5 75
 
10.0%
7 74
 
9.8%
1 48
 
6.4%
8 41
 
5.4%
3 38
 
5.0%
9 22
 
2.9%
6 18
 
2.4%
Dash Punctuation
ValueCountFrequency (%)
- 134
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 887
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 247
27.8%
- 134
15.1%
2 111
12.5%
4 79
 
8.9%
5 75
 
8.5%
7 74
 
8.3%
1 48
 
5.4%
8 41
 
4.6%
3 38
 
4.3%
9 22
 
2.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 887
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 247
27.8%
- 134
15.1%
2 111
12.5%
4 79
 
8.9%
5 75
 
8.5%
7 74
 
8.3%
1 48
 
5.4%
8 41
 
4.6%
3 38
 
4.3%
9 22
 
2.5%

소재지면적
Real number (ℝ)

ZEROS 

Distinct49
Distinct (%)27.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean88.633051
Minimum0
Maximum10829.64
Zeros127
Zeros (%)71.8%
Negative0
Negative (%)0.0%
Memory size1.7 KiB
2023-12-12T13:40:37.176062image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q328.47
95-th percentile156.32
Maximum10829.64
Range10829.64
Interquartile range (IQR)28.47

Descriptive statistics

Standard deviation816.03994
Coefficient of variation (CV)9.2069485
Kurtosis173.40562
Mean88.633051
Median Absolute Deviation (MAD)0
Skewness13.108848
Sum15688.05
Variance665921.18
MonotonicityNot monotonic
2023-12-12T13:40:37.380975image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=49)
ValueCountFrequency (%)
0.0 127
71.8%
70.0 2
 
1.1%
67.96 2
 
1.1%
220.8 1
 
0.6%
264.0 1
 
0.6%
45.53 1
 
0.6%
41.53 1
 
0.6%
36.75 1
 
0.6%
866.33 1
 
0.6%
44.22 1
 
0.6%
Other values (39) 39
 
22.0%
ValueCountFrequency (%)
0.0 127
71.8%
20.7 1
 
0.6%
21.45 1
 
0.6%
22.68 1
 
0.6%
27.0 1
 
0.6%
28.39 1
 
0.6%
28.47 1
 
0.6%
33.0 1
 
0.6%
33.4 1
 
0.6%
36.0 1
 
0.6%
ValueCountFrequency (%)
10829.64 1
0.6%
866.33 1
0.6%
296.69 1
0.6%
264.0 1
0.6%
243.8 1
0.6%
220.8 1
0.6%
207.0 1
0.6%
198.0 1
0.6%
185.6 1
0.6%
149.0 1
0.6%

지번주소
Text

Distinct158
Distinct (%)89.3%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
2023-12-12T13:40:37.695385image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length49
Median length40
Mean length25.80226
Min length1

Characters and Unicode

Total characters4567
Distinct characters169
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique143 ?
Unique (%)80.8%

Sample

1st row서울특별시 송파구 풍납동 257번지 95호
2nd row서울특별시 송파구 삼전동 49번지
3rd row서울특별시 송파구 송파동 48번지 19호
4th row서울특별시 송파구 오금동 129번지 12호
5th row서울특별시 송파구 오금동 39번지 1호
ValueCountFrequency (%)
서울특별시 174
 
17.8%
송파구 172
 
17.6%
잠실동 24
 
2.5%
가락동 24
 
2.5%
송파동 22
 
2.3%
1호 18
 
1.8%
2호 17
 
1.7%
문정동 16
 
1.6%
3호 15
 
1.5%
방이동 15
 
1.5%
Other values (261) 479
49.1%
2023-12-12T13:40:38.297608image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
948
20.8%
1 209
 
4.6%
파 208
 
4.6%
송 196
 
4.3%
동 183
 
4.0%
시 177
 
3.9%
서 175
 
3.8%
특 174
 
3.8%
별 174
 
3.8%
구 174
 
3.8%
Other values (159) 1949
42.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2804
61.4%
Space Separator 948
 
20.8%
Decimal Number 758
 
16.6%
Dash Punctuation 25
 
0.5%
Uppercase Letter 20
 
0.4%
Other Punctuation 7
 
0.2%
Open Punctuation 2
 
< 0.1%
Close Punctuation 2
 
< 0.1%
Lowercase Letter 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
파 208
 
7.4%
송 196
 
7.0%
동 183
 
6.5%
시 177
 
6.3%
서 175
 
6.2%
특 174
 
6.2%
별 174
 
6.2%
구 174
 
6.2%
울 174
 
6.2%
지 171
 
6.1%
Other values (130) 998
35.6%
Uppercase Letter
ValueCountFrequency (%)
E 4
20.0%
S 3
15.0%
O 2
10.0%
C 2
10.0%
A 2
10.0%
J 1
 
5.0%
N 1
 
5.0%
X 1
 
5.0%
M 1
 
5.0%
U 1
 
5.0%
Other values (2) 2
10.0%
Decimal Number
ValueCountFrequency (%)
1 209
27.6%
2 127
16.8%
4 67
 
8.8%
5 60
 
7.9%
3 60
 
7.9%
0 57
 
7.5%
7 49
 
6.5%
9 47
 
6.2%
8 42
 
5.5%
6 40
 
5.3%
Other Punctuation
ValueCountFrequency (%)
, 6
85.7%
. 1
 
14.3%
Space Separator
ValueCountFrequency (%)
948
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 25
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%
Lowercase Letter
ValueCountFrequency (%)
c 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2804
61.4%
Common 1742
38.1%
Latin 21
 
0.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
파 208
 
7.4%
송 196
 
7.0%
동 183
 
6.5%
시 177
 
6.3%
서 175
 
6.2%
특 174
 
6.2%
별 174
 
6.2%
구 174
 
6.2%
울 174
 
6.2%
지 171
 
6.1%
Other values (130) 998
35.6%
Common
ValueCountFrequency (%)
948
54.4%
1 209
 
12.0%
2 127
 
7.3%
4 67
 
3.8%
5 60
 
3.4%
3 60
 
3.4%
0 57
 
3.3%
7 49
 
2.8%
9 47
 
2.7%
8 42
 
2.4%
Other values (6) 76
 
4.4%
Latin
ValueCountFrequency (%)
E 4
19.0%
S 3
14.3%
O 2
9.5%
C 2
9.5%
A 2
9.5%
c 1
 
4.8%
J 1
 
4.8%
N 1
 
4.8%
X 1
 
4.8%
M 1
 
4.8%
Other values (3) 3
14.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2804
61.4%
ASCII 1763
38.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
948
53.8%
1 209
 
11.9%
2 127
 
7.2%
4 67
 
3.8%
5 60
 
3.4%
3 60
 
3.4%
0 57
 
3.2%
7 49
 
2.8%
9 47
 
2.7%
8 42
 
2.4%
Other values (19) 97
 
5.5%
Hangul
ValueCountFrequency (%)
파 208
 
7.4%
송 196
 
7.0%
동 183
 
6.5%
시 177
 
6.3%
서 175
 
6.2%
특 174
 
6.2%
별 174
 
6.2%
구 174
 
6.2%
울 174
 
6.2%
지 171
 
6.1%
Other values (130) 998
35.6%

도로명주소
Text

Distinct160
Distinct (%)90.4%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
2023-12-12T13:40:38.703897image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length53
Median length43
Mean length29.124294
Min length1

Characters and Unicode

Total characters5155
Distinct characters192
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique146 ?
Unique (%)82.5%

Sample

1st row서울특별시 송파구 토성로 30-1 (풍납동)
2nd row서울특별시 송파구 백제고분로 218 (삼전동)
3rd row0
4th row서울특별시 송파구 마천로26길 12 (오금동)
5th row서울특별시 송파구 오금로35길 44 (오금동)
ValueCountFrequency (%)
서울특별시 173
 
16.7%
송파구 171
 
16.5%
1층 31
 
3.0%
잠실동 20
 
1.9%
올림픽로 19
 
1.8%
오금로 17
 
1.6%
송파동 15
 
1.4%
백제고분로 14
 
1.4%
가락동 14
 
1.4%
문정동 13
 
1.3%
Other values (317) 548
52.9%
2023-12-12T13:40:39.322760image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
858
 
16.6%
파 215
 
4.2%
송 213
 
4.1%
1 198
 
3.8%
동 183
 
3.5%
로 177
 
3.4%
시 176
 
3.4%
서 174
 
3.4%
울 173
 
3.4%
특 173
 
3.4%
Other values (182) 2615
50.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3093
60.0%
Space Separator 858
 
16.6%
Decimal Number 732
 
14.2%
Open Punctuation 152
 
2.9%
Close Punctuation 152
 
2.9%
Other Punctuation 129
 
2.5%
Uppercase Letter 24
 
0.5%
Dash Punctuation 15
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
파 215
 
7.0%
송 213
 
6.9%
동 183
 
5.9%
로 177
 
5.7%
시 176
 
5.7%
서 174
 
5.6%
울 173
 
5.6%
특 173
 
5.6%
별 173
 
5.6%
구 173
 
5.6%
Other values (153) 1263
40.8%
Uppercase Letter
ValueCountFrequency (%)
E 4
16.7%
S 3
12.5%
B 3
12.5%
A 2
8.3%
C 2
8.3%
O 2
8.3%
H 1
 
4.2%
J 1
 
4.2%
G 1
 
4.2%
N 1
 
4.2%
Other values (4) 4
16.7%
Decimal Number
ValueCountFrequency (%)
1 198
27.0%
2 106
14.5%
0 75
 
10.2%
4 66
 
9.0%
3 66
 
9.0%
6 65
 
8.9%
5 46
 
6.3%
8 46
 
6.3%
9 34
 
4.6%
7 30
 
4.1%
Space Separator
ValueCountFrequency (%)
858
100.0%
Open Punctuation
ValueCountFrequency (%)
( 152
100.0%
Close Punctuation
ValueCountFrequency (%)
) 152
100.0%
Other Punctuation
ValueCountFrequency (%)
, 129
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 15
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3093
60.0%
Common 2038
39.5%
Latin 24
 
0.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
파 215
 
7.0%
송 213
 
6.9%
동 183
 
5.9%
로 177
 
5.7%
시 176
 
5.7%
서 174
 
5.6%
울 173
 
5.6%
특 173
 
5.6%
별 173
 
5.6%
구 173
 
5.6%
Other values (153) 1263
40.8%
Common
ValueCountFrequency (%)
858
42.1%
1 198
 
9.7%
( 152
 
7.5%
) 152
 
7.5%
, 129
 
6.3%
2 106
 
5.2%
0 75
 
3.7%
4 66
 
3.2%
3 66
 
3.2%
6 65
 
3.2%
Other values (5) 171
 
8.4%
Latin
ValueCountFrequency (%)
E 4
16.7%
S 3
12.5%
B 3
12.5%
A 2
8.3%
C 2
8.3%
O 2
8.3%
H 1
 
4.2%
J 1
 
4.2%
G 1
 
4.2%
N 1
 
4.2%
Other values (4) 4
16.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3093
60.0%
ASCII 2062
40.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
858
41.6%
1 198
 
9.6%
( 152
 
7.4%
) 152
 
7.4%
, 129
 
6.3%
2 106
 
5.1%
0 75
 
3.6%
4 66
 
3.2%
3 66
 
3.2%
6 65
 
3.2%
Other values (19) 195
 
9.5%
Hangul
ValueCountFrequency (%)
파 215
 
7.0%
송 213
 
6.9%
동 183
 
5.9%
로 177
 
5.7%
시 176
 
5.7%
서 174
 
5.6%
울 173
 
5.6%
특 173
 
5.6%
별 173
 
5.6%
구 173
 
5.6%
Other values (153) 1263
40.8%

사업장명
Text

Distinct154
Distinct (%)87.0%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
2023-12-12T13:40:39.677399image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length16
Median length15
Mean length7.7457627
Min length5

Characters and Unicode

Total characters1371
Distinct characters221
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique135 ?
Unique (%)76.3%

Sample

1st row애니종합동물병원
2nd row사랑의동물병원
3rd row잠실종합병원
4th row거여가축병원
5th row이재풍동물병원
ValueCountFrequency (%)
동물병원 22
 
10.3%
엄마손동물병원 3
 
1.4%
서울동물의료원 3
 
1.4%
밍키종합동물병원 3
 
1.4%
서울동물병원 3
 
1.4%
웰니스동물병원(롯데월드점 2
 
0.9%
더 2
 
0.9%
동물메디컬센터 2
 
0.9%
펫가든동물병원 2
 
0.9%
위즈펫동물병원 2
 
0.9%
Other values (156) 170
79.4%
2023-12-12T13:40:40.271779image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
동 176
 
12.8%
물 173
 
12.6%
원 163
 
11.9%
병 155
 
11.3%
37
 
2.7%
종 22
 
1.6%
합 22
 
1.6%
이 17
 
1.2%
터 15
 
1.1%
의 15
 
1.1%
Other values (211) 576
42.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1283
93.6%
Space Separator 37
 
2.7%
Uppercase Letter 24
 
1.8%
Decimal Number 14
 
1.0%
Close Punctuation 5
 
0.4%
Open Punctuation 5
 
0.4%
Other Punctuation 2
 
0.1%
Lowercase Letter 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 176
 
13.7%
물 173
 
13.5%
원 163
 
12.7%
병 155
 
12.1%
종 22
 
1.7%
합 22
 
1.7%
이 17
 
1.3%
터 15
 
1.2%
의 15
 
1.2%
센 14
 
1.1%
Other values (185) 511
39.8%
Uppercase Letter
ValueCountFrequency (%)
A 3
12.5%
V 3
12.5%
K 2
 
8.3%
L 2
 
8.3%
S 2
 
8.3%
C 1
 
4.2%
N 1
 
4.2%
O 1
 
4.2%
P 1
 
4.2%
I 1
 
4.2%
Other values (7) 7
29.2%
Decimal Number
ValueCountFrequency (%)
2 7
50.0%
5 4
28.6%
4 3
21.4%
Other Punctuation
ValueCountFrequency (%)
. 1
50.0%
, 1
50.0%
Space Separator
ValueCountFrequency (%)
37
100.0%
Close Punctuation
ValueCountFrequency (%)
) 5
100.0%
Open Punctuation
ValueCountFrequency (%)
( 5
100.0%
Lowercase Letter
ValueCountFrequency (%)
i 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1283
93.6%
Common 63
 
4.6%
Latin 25
 
1.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 176
 
13.7%
물 173
 
13.5%
원 163
 
12.7%
병 155
 
12.1%
종 22
 
1.7%
합 22
 
1.7%
이 17
 
1.3%
터 15
 
1.2%
의 15
 
1.2%
센 14
 
1.1%
Other values (185) 511
39.8%
Latin
ValueCountFrequency (%)
A 3
 
12.0%
V 3
 
12.0%
K 2
 
8.0%
L 2
 
8.0%
S 2
 
8.0%
C 1
 
4.0%
N 1
 
4.0%
O 1
 
4.0%
P 1
 
4.0%
I 1
 
4.0%
Other values (8) 8
32.0%
Common
ValueCountFrequency (%)
37
58.7%
2 7
 
11.1%
) 5
 
7.9%
( 5
 
7.9%
5 4
 
6.3%
4 3
 
4.8%
. 1
 
1.6%
, 1
 
1.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1283
93.6%
ASCII 88
 
6.4%

Most frequent character per block

Hangul
ValueCountFrequency (%)
동 176
 
13.7%
물 173
 
13.5%
원 163
 
12.7%
병 155
 
12.1%
종 22
 
1.7%
합 22
 
1.7%
이 17
 
1.3%
터 15
 
1.2%
의 15
 
1.2%
센 14
 
1.1%
Other values (185) 511
39.8%
ASCII
ValueCountFrequency (%)
37
42.0%
2 7
 
8.0%
) 5
 
5.7%
( 5
 
5.7%
5 4
 
4.5%
A 3
 
3.4%
V 3
 
3.4%
4 3
 
3.4%
K 2
 
2.3%
L 2
 
2.3%
Other values (16) 17
19.3%

최종수정일자
Date

CONSTANT 

Distinct1
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
Minimum2021-09-16 00:00:00
Maximum2021-09-16 00:00:00
2023-12-12T13:40:40.423214image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:40:40.556470image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

데이터갱신일자
Date

CONSTANT 

Distinct1
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
Minimum2021-09-16 00:00:00
Maximum2021-09-16 00:00:00
2023-12-12T13:40:40.688066image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:40:40.819314image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

축산업무구분명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
동물병원
177 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
동물병원 177
100.0%

Length

2023-12-12T13:40:40.957594image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T13:40:41.073112image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
동물병원 177
100.0%

Interactions

2023-12-12T13:40:33.106950image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T13:40:41.138021image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
영업상태명상세영업상태명전화번호소재지면적
영업상태명1.0001.0000.9950.000
상세영업상태명1.0001.0000.9950.000
전화번호0.9950.9951.0000.538
소재지면적0.0000.0000.5381.000
2023-12-12T13:40:41.239981image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
상세영업상태명영업상태명
상세영업상태명1.0000.988
영업상태명0.9881.000
2023-12-12T13:40:41.324109image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
소재지면적영업상태명상세영업상태명
소재지면적1.0000.0000.000
영업상태명0.0001.0000.988
상세영업상태명0.0000.9881.000

Missing values

2023-12-12T13:40:33.246304image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T13:40:33.786950image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

Sample

개방자치단체코드관리번호인허가일자영업상태명상세영업상태명폐업일자전화번호소재지면적지번주소도로명주소사업장명최종수정일자데이터갱신일자축산업무구분명
0323000032300001987-09-10폐업폐업2009-10-2200.0서울특별시 송파구 풍납동 257번지 95호서울특별시 송파구 토성로 30-1 (풍납동)애니종합동물병원2021-09-162021-09-16동물병원
1323000032300001988-09-10폐업폐업2016-03-1800.0서울특별시 송파구 삼전동 49번지서울특별시 송파구 백제고분로 218 (삼전동)사랑의동물병원2021-09-162021-09-16동물병원
2323000032300001989-12-30폐업폐업2000-06-0100.0서울특별시 송파구 송파동 48번지 19호0잠실종합병원2021-09-162021-09-16동물병원
3323000032300001990-05-11폐업폐업2001-10-10021.45서울특별시 송파구 오금동 129번지 12호서울특별시 송파구 마천로26길 12 (오금동)거여가축병원2021-09-162021-09-16동물병원
4323000032300001990-08-08정상정상002-404-61230.0서울특별시 송파구 오금동 39번지 1호서울특별시 송파구 오금로35길 44 (오금동)이재풍동물병원2021-09-162021-09-16동물병원
5323000032300001991-02-18정상정상002-430-70050.0서울특별시 송파구 가락동 190번지 6호 무영빌딩서울특별시 송파구 동남로18길 23, 무영빌딩 (가락동)영국동물병원2021-09-162021-09-16동물병원
6323000032300001991-03-30정상정상002-413-74800.0서울특별시 송파구 잠실동 175번지 12호 올림픽타워 101호서울특별시 송파구 올림픽로 88, 올림픽타워 101호 (잠실동)희망종합동물병원2021-09-162021-09-16동물병원
7323000032300001991-04-26정상정상002-401-00750.0서울특별시 송파구 거여동 562번지 4호서울특별시 송파구 오금로 498 (거여동)노아동물병원2021-09-162021-09-16동물병원
8323000032300001993-07-02정상정상000.0서울특별시 송파구 방이동 124번지 8호 남양빌딩서울특별시 송파구 오금로 203, 남양빌딩 (방이동)펫토피아동물병원2021-09-162021-09-16동물병원
9323000032300001993-07-13정상정상002-443-80830.0서울특별시 송파구 거여동 133번지 77호 흥일빌딩서울특별시 송파구 마천로 264, 흥일빌딩 (거여동)오주동물병원2021-09-162021-09-16동물병원
개방자치단체코드관리번호인허가일자영업상태명상세영업상태명폐업일자전화번호소재지면적지번주소도로명주소사업장명최종수정일자데이터갱신일자축산업무구분명
167323000032300002018-11-13정상정상00507-1495-77750.0서울특별시 송파구 송파동 15번지 6호서울특별시 송파구 송파대로 450 (송파동)샤인동물메디컬센터2021-09-162021-09-16동물병원
168323000032300002019-02-20정상정상00507-1375-58520.0서울특별시 송파구 문정동 652번지 4호 힐스테이트에코문정상가 1층 120,121호서울특별시 송파구 법원로4길 10, 힐스테이트에코문정 상가동 1층 120,121호 (문정동)문정힐스 동물병원2021-09-162021-09-16동물병원
169323000032300002019-05-16정상정상002-6953-75020.0서울특별시 송파구 삼전동 28번지 2호 청목빌딩서울특별시 송파구 삼전로 56, 청목빌딩 (삼전동)헬릭스동물메디컬센터 송파분원2021-09-162021-09-16동물병원
170323000032300002020-02-12정상정상002-2135-65750.0서울특별시 송파구 가락동 479번지 헬리오시티서울특별시 송파구 송파대로 345, 3B동 28,29호 (가락동, 헬리오시티)헬리오동물병원2021-09-162021-09-16동물병원
171323000032300002020-03-11정상정상002-555-22720.0서울특별시 송파구 송파동 98번지 4호 아이앤비빌딩서울특별시 송파구 가락로 140, 아이앤비빌딩 2층 201호 (송파동)라온펫동물병원2021-09-162021-09-16동물병원
172323000032300002020-08-25정상정상002-443-69330.0서울특별시 송파구 오금동 151번지 1호 재상빌딩서울특별시 송파구 동남로 282, 재상빌딩 1층 (오금동)채움동물의료센터2021-09-162021-09-16동물병원
173323000032300002020-09-15정상정상002-402-32700.0서울특별시 송파구 문정동 652번지 5호 문정아이파크서울특별시 송파구 법원로4길 6, 문정아이파크 128-9호 (문정동)동물병원알루2021-09-162021-09-16동물병원
174323000032300002020-11-18정상정상002-1566-87130.0서울특별시 송파구 잠실동 242번지 2호서울특별시 송파구 석촌호수로 104, 1층 (잠실동)도그마루 동물병원2021-09-162021-09-16동물병원
175323000032300002021-08-24정상정상002-401-75790.0서울특별시 송파구 장지동 884번지 위례2차아이파크서울특별시 송파구 위례광장로 230, 119,120호 (장지동, 위례2차아이파크)위례 별 동물의료센터2021-09-162021-09-16동물병원
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