Overview

Dataset statistics

Number of variables8
Number of observations44
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory3.0 KiB
Average record size in memory69.0 B

Variable types

Categorical1
Text3
DateTime2
Numeric2

Dataset

Description부산광역시해운대구_동물병원_20220916
Author부산광역시 해운대구
URLhttp://data.busan.go.kr/dataSet/detail.nm?contentId=10&publicdatapk=15077759

Alerts

구군 has constant value ""Constant
데이터기준일자 has constant value ""Constant
동물병원이름 has unique valuesUnique
인허가일자 has unique valuesUnique
도로명주소 has unique valuesUnique
전화번호 has unique valuesUnique

Reproduction

Analysis started2023-12-10 16:14:53.148049
Analysis finished2023-12-10 16:14:54.807205
Duration1.66 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

구군
Categorical

CONSTANT 

Distinct1
Distinct (%)2.3%
Missing0
Missing (%)0.0%
Memory size484.0 B
해운대구
44 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
해운대구 44
100.0%

Length

2023-12-11T01:14:54.900950image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T01:14:55.108499image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
해운대구 44
100.0%

동물병원이름
Text

UNIQUE 

Distinct44
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size484.0 B
2023-12-11T01:14:55.420071image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length11
Mean length8
Min length5

Characters and Unicode

Total characters352
Distinct characters98
Distinct categories4 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique44 ?
Unique (%)100.0%

Sample

1st rowBS조은동물병원
2nd row갑을동물병원
3rd row김준완 동물의료센터
4th row누리동물병원
5th row닥터주 동물병원
ValueCountFrequency (%)
동물병원 11
 
17.5%
해운대 2
 
3.2%
bs조은동물병원 1
 
1.6%
큰마음동물메디컬센터 1
 
1.6%
조앤박동물병원 1
 
1.6%
아이센텀 1
 
1.6%
동물메디컬센터 1
 
1.6%
아이앤지동물병원 1
 
1.6%
아이케어 1
 
1.6%
오션동물메디컬센터 1
 
1.6%
Other values (42) 42
66.7%
2023-12-11T01:14:56.034866image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
동 44
 
12.5%
물 44
 
12.5%
원 39
 
11.1%
병 38
 
10.8%
19
 
5.4%
센 8
 
2.3%
터 6
 
1.7%
리 6
 
1.7%
스 5
 
1.4%
이 5
 
1.4%
Other values (88) 138
39.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 329
93.5%
Space Separator 19
 
5.4%
Uppercase Letter 2
 
0.6%
Decimal Number 2
 
0.6%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 44
 
13.4%
물 44
 
13.4%
원 39
 
11.9%
병 38
 
11.6%
센 8
 
2.4%
터 6
 
1.8%
리 6
 
1.8%
스 5
 
1.5%
이 5
 
1.5%
마 5
 
1.5%
Other values (83) 129
39.2%
Uppercase Letter
ValueCountFrequency (%)
B 1
50.0%
S 1
50.0%
Decimal Number
ValueCountFrequency (%)
2 1
50.0%
4 1
50.0%
Space Separator
ValueCountFrequency (%)
19
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 329
93.5%
Common 21
 
6.0%
Latin 2
 
0.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 44
 
13.4%
물 44
 
13.4%
원 39
 
11.9%
병 38
 
11.6%
센 8
 
2.4%
터 6
 
1.8%
리 6
 
1.8%
스 5
 
1.5%
이 5
 
1.5%
마 5
 
1.5%
Other values (83) 129
39.2%
Common
ValueCountFrequency (%)
19
90.5%
2 1
 
4.8%
4 1
 
4.8%
Latin
ValueCountFrequency (%)
B 1
50.0%
S 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 329
93.5%
ASCII 23
 
6.5%

Most frequent character per block

Hangul
ValueCountFrequency (%)
동 44
 
13.4%
물 44
 
13.4%
원 39
 
11.9%
병 38
 
11.6%
센 8
 
2.4%
터 6
 
1.8%
리 6
 
1.8%
스 5
 
1.5%
이 5
 
1.5%
마 5
 
1.5%
Other values (83) 129
39.2%
ASCII
ValueCountFrequency (%)
19
82.6%
B 1
 
4.3%
2 1
 
4.3%
4 1
 
4.3%
S 1
 
4.3%

인허가일자
Date

UNIQUE 

Distinct44
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size484.0 B
Minimum1995-03-22 00:00:00
Maximum2022-03-29 00:00:00
2023-12-11T01:14:56.296402image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T01:14:56.587648image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=44)

도로명주소
Text

UNIQUE 

Distinct44
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size484.0 B
2023-12-11T01:14:57.021352image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length58
Median length42
Mean length34.113636
Min length24

Characters and Unicode

Total characters1501
Distinct characters126
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

Unique44 ?
Unique (%)100.0%

Sample

1st row부산광역시 해운대구 윗반송로 73 (반송동)
2nd row부산광역시 해운대구 재반로 148, 32호 (재송동)
3rd row부산광역시 해운대구 해운대로 580, 4층 (우동)
4th row부산광역시 해운대구 송정2로13번길 46 (송정동)
5th row부산광역시 해운대구 좌동순환로402번길 8, 204호 (좌동, 피렌체오피스텔)
ValueCountFrequency (%)
부산광역시 44
 
15.4%
해운대구 44
 
15.4%
좌동 13
 
4.5%
우동 11
 
3.8%
2층 7
 
2.4%
반여동 6
 
2.1%
해운대로 6
 
2.1%
재송동 5
 
1.7%
좌동순환로 4
 
1.4%
중동 4
 
1.4%
Other values (118) 142
49.7%
2023-12-11T01:14:57.639144image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
242
 
16.1%
운 61
 
4.1%
대 61
 
4.1%
해 59
 
3.9%
동 59
 
3.9%
시 47
 
3.1%
산 45
 
3.0%
광 45
 
3.0%
( 44
 
2.9%
, 44
 
2.9%
Other values (116) 794
52.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 893
59.5%
Space Separator 242
 
16.1%
Decimal Number 221
 
14.7%
Open Punctuation 44
 
2.9%
Other Punctuation 44
 
2.9%
Close Punctuation 44
 
2.9%
Dash Punctuation 7
 
0.5%
Math Symbol 3
 
0.2%
Uppercase Letter 3
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
운 61
 
6.8%
대 61
 
6.8%
해 59
 
6.6%
동 59
 
6.6%
시 47
 
5.3%
산 45
 
5.0%
광 45
 
5.0%
부 44
 
4.9%
구 44
 
4.9%
역 44
 
4.9%
Other values (98) 384
43.0%
Decimal Number
ValueCountFrequency (%)
2 40
18.1%
1 38
17.2%
3 34
15.4%
0 27
12.2%
4 20
9.0%
6 15
 
6.8%
8 14
 
6.3%
7 14
 
6.3%
5 13
 
5.9%
9 6
 
2.7%
Uppercase Letter
ValueCountFrequency (%)
B 2
66.7%
A 1
33.3%
Space Separator
ValueCountFrequency (%)
242
100.0%
Open Punctuation
ValueCountFrequency (%)
( 44
100.0%
Other Punctuation
ValueCountFrequency (%)
, 44
100.0%
Close Punctuation
ValueCountFrequency (%)
) 44
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 7
100.0%
Math Symbol
ValueCountFrequency (%)
~ 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 893
59.5%
Common 605
40.3%
Latin 3
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
운 61
 
6.8%
대 61
 
6.8%
해 59
 
6.6%
동 59
 
6.6%
시 47
 
5.3%
산 45
 
5.0%
광 45
 
5.0%
부 44
 
4.9%
구 44
 
4.9%
역 44
 
4.9%
Other values (98) 384
43.0%
Common
ValueCountFrequency (%)
242
40.0%
( 44
 
7.3%
, 44
 
7.3%
) 44
 
7.3%
2 40
 
6.6%
1 38
 
6.3%
3 34
 
5.6%
0 27
 
4.5%
4 20
 
3.3%
6 15
 
2.5%
Other values (6) 57
 
9.4%
Latin
ValueCountFrequency (%)
B 2
66.7%
A 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 893
59.5%
ASCII 608
40.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
242
39.8%
( 44
 
7.2%
, 44
 
7.2%
) 44
 
7.2%
2 40
 
6.6%
1 38
 
6.2%
3 34
 
5.6%
0 27
 
4.4%
4 20
 
3.3%
6 15
 
2.5%
Other values (8) 60
 
9.9%
Hangul
ValueCountFrequency (%)
운 61
 
6.8%
대 61
 
6.8%
해 59
 
6.6%
동 59
 
6.6%
시 47
 
5.3%
산 45
 
5.0%
광 45
 
5.0%
부 44
 
4.9%
구 44
 
4.9%
역 44
 
4.9%
Other values (98) 384
43.0%

전화번호
Text

UNIQUE 

Distinct44
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size484.0 B
2023-12-11T01:14:57.929083image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length12
Min length12

Characters and Unicode

Total characters528
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

Unique44 ?
Unique (%)100.0%

Sample

1st row051-544-7588
2nd row051-784-7844
3rd row051-704-7582
4th row051-701-7599
5th row051-731-7530
ValueCountFrequency (%)
051-544-7588 1
 
2.3%
051-784-7844 1
 
2.3%
051-702-7511 1
 
2.3%
051-746-0075 1
 
2.3%
051-702-5575 1
 
2.3%
051-715-5640 1
 
2.3%
051-711-5999 1
 
2.3%
051-701-7555 1
 
2.3%
051-528-7581 1
 
2.3%
051-529-5388 1
 
2.3%
Other values (34) 34
77.3%
2023-12-11T01:14:58.314694image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5 93
17.6%
- 88
16.7%
7 81
15.3%
0 78
14.8%
1 70
13.3%
4 34
 
6.4%
2 25
 
4.7%
8 20
 
3.8%
6 17
 
3.2%
9 14
 
2.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 440
83.3%
Dash Punctuation 88
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 93
21.1%
7 81
18.4%
0 78
17.7%
1 70
15.9%
4 34
 
7.7%
2 25
 
5.7%
8 20
 
4.5%
6 17
 
3.9%
9 14
 
3.2%
3 8
 
1.8%
Dash Punctuation
ValueCountFrequency (%)
- 88
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 528
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
5 93
17.6%
- 88
16.7%
7 81
15.3%
0 78
14.8%
1 70
13.3%
4 34
 
6.4%
2 25
 
4.7%
8 20
 
3.8%
6 17
 
3.2%
9 14
 
2.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 528
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5 93
17.6%
- 88
16.7%
7 81
15.3%
0 78
14.8%
1 70
13.3%
4 34
 
6.4%
2 25
 
4.7%
8 20
 
3.8%
6 17
 
3.2%
9 14
 
2.7%

위도
Real number (ℝ)

Distinct41
Distinct (%)93.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean35.178624
Minimum35.155449
Maximum35.23247
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size528.0 B
2023-12-11T01:14:58.472853image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum35.155449
5-th percentile35.159594
Q135.166102
median35.171909
Q335.189479
95-th percentile35.222179
Maximum35.23247
Range0.0770206
Interquartile range (IQR)0.023376745

Descriptive statistics

Standard deviation0.019142048
Coefficient of variation (CV)0.00054413861
Kurtosis1.4286966
Mean35.178624
Median Absolute Deviation (MAD)0.00786896
Skewness1.3727755
Sum1547.8595
Variance0.00036641799
MonotonicityNot monotonic
2023-12-11T01:14:58.997230image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=41)
ValueCountFrequency (%)
35.17190917 2
 
4.5%
35.16967978 2
 
4.5%
35.17675704 2
 
4.5%
35.16468389 1
 
2.3%
35.17482918 1
 
2.3%
35.20063787 1
 
2.3%
35.16837203 1
 
2.3%
35.20277232 1
 
2.3%
35.20017578 1
 
2.3%
35.18898547 1
 
2.3%
Other values (31) 31
70.5%
ValueCountFrequency (%)
35.15544905 1
2.3%
35.15664715 1
2.3%
35.15932559 1
2.3%
35.16111204 1
2.3%
35.1611861 1
2.3%
35.16121144 1
2.3%
35.16252391 1
2.3%
35.16302021 1
2.3%
35.16356857 1
2.3%
35.16468389 1
2.3%
ValueCountFrequency (%)
35.23246965 1
2.3%
35.23055516 1
2.3%
35.2255897 1
2.3%
35.20284944 1
2.3%
35.20277232 1
2.3%
35.20063787 1
2.3%
35.20017578 1
2.3%
35.19964816 1
2.3%
35.19480895 1
2.3%
35.19466871 1
2.3%

경도
Real number (ℝ)

Distinct41
Distinct (%)93.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean129.15434
Minimum129.11615
Maximum129.20632
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size528.0 B
2023-12-11T01:14:59.225660image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum129.11615
5-th percentile129.11926
Q1129.12942
median129.15605
Q3129.176
95-th percentile129.1831
Maximum129.20632
Range0.0901658
Interquartile range (IQR)0.046576075

Descriptive statistics

Standard deviation0.025089051
Coefficient of variation (CV)0.00019425635
Kurtosis-1.2731115
Mean129.15434
Median Absolute Deviation (MAD)0.02211205
Skewness0.0040557173
Sum5682.791
Variance0.00062946049
MonotonicityNot monotonic
2023-12-11T01:14:59.451370image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=41)
ValueCountFrequency (%)
129.1314366 2
 
4.5%
129.1785474 2
 
4.5%
129.1235919 2
 
4.5%
129.1677157 1
 
2.3%
129.1747108 1
 
2.3%
129.1193546 1
 
2.3%
129.1831912 1
 
2.3%
129.1192414 1
 
2.3%
129.1233997 1
 
2.3%
129.1264994 1
 
2.3%
Other values (31) 31
70.5%
ValueCountFrequency (%)
129.1161518 1
2.3%
129.1177777 1
2.3%
129.1192414 1
2.3%
129.1193546 1
2.3%
129.1233569 1
2.3%
129.1233997 1
2.3%
129.1235919 2
4.5%
129.1264994 1
2.3%
129.1279572 1
2.3%
129.1288604 1
2.3%
ValueCountFrequency (%)
129.2063176 1
2.3%
129.1976706 1
2.3%
129.1831912 1
2.3%
129.1825623 1
2.3%
129.179846 1
2.3%
129.1785474 2
4.5%
129.1777739 1
2.3%
129.1777347 1
2.3%
129.1776778 1
2.3%
129.1767774 1
2.3%

데이터기준일자
Date

CONSTANT 

Distinct1
Distinct (%)2.3%
Missing0
Missing (%)0.0%
Memory size484.0 B
Minimum2022-09-16 00:00:00
Maximum2022-09-16 00:00:00
2023-12-11T01:14:59.634403image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T01:14:59.757604image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Interactions

2023-12-11T01:14:54.096879image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T01:14:53.750787image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T01:14:54.240047image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T01:14:53.949726image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-11T01:14:59.869158image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
동물병원이름인허가일자도로명주소전화번호위도경도
동물병원이름1.0001.0001.0001.0001.0001.000
인허가일자1.0001.0001.0001.0001.0001.000
도로명주소1.0001.0001.0001.0001.0001.000
전화번호1.0001.0001.0001.0001.0001.000
위도1.0001.0001.0001.0001.0000.575
경도1.0001.0001.0001.0000.5751.000
2023-12-11T01:14:59.983253image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
위도경도
위도1.000-0.406
경도-0.4061.000

Missing values

2023-12-11T01:14:54.425229image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-11T01:14:54.720083image/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

구군동물병원이름인허가일자도로명주소전화번호위도경도데이터기준일자
0해운대구BS조은동물병원2011-02-10부산광역시 해운대구 윗반송로 73 (반송동)051-544-758835.230555129.1569992022-09-16
1해운대구갑을동물병원2004-08-16부산광역시 해운대구 재반로 148, 32호 (재송동)051-784-784435.190959129.1279572022-09-16
2해운대구김준완 동물의료센터1999-01-22부산광역시 해운대구 해운대로 580, 4층 (우동)051-704-758235.161211129.1550992022-09-16
3해운대구누리동물병원2014-10-13부산광역시 해운대구 송정2로13번길 46 (송정동)051-701-759935.194809129.2063182022-09-16
4해운대구닥터주 동물병원2013-07-22부산광역시 해운대구 좌동순환로402번길 8, 204호 (좌동, 피렌체오피스텔)051-731-753035.16302129.1777352022-09-16
5해운대구달맞이 호두네 동물병원2015-05-19부산광역시 해운대구 달맞이길65번길 33, 상가동 3층 305호 (중동, 해운대 달맞이 유림 노르웨이숲)051-746-707735.161186129.1736992022-09-16
6해운대구돌봄 동물병원2021-01-21부산광역시 해운대구 센텀2로 33, 센텀뷰라움 107호 (우동)051-751-758535.166383129.1334322022-09-16
7해운대구로이종합동물병원2013-03-20부산광역시 해운대구 센텀중앙로 145, 202호 (재송동, 센텀파크상가2동)051-742-797535.176757129.1235922022-09-16
8해운대구리더스동물병원2018-11-19부산광역시 해운대구 해운대로 814, 세종월드프라자 A동 301호 (좌동)051-701-758835.169577129.1776782022-09-16
9해운대구리안 동물병원2021-02-10부산광역시 해운대구 달맞이길 58, 2층 (중동)051-747-127535.161112129.1710762022-09-16
구군동물병원이름인허가일자도로명주소전화번호위도경도데이터기준일자
34해운대구토마스동물병원2010-02-02부산광역시 해운대구 반송로 922 (반송동)051-544-077535.23247129.1543622022-09-16
35해운대구푸른동물병원2001-07-02부산광역시 해운대구 해운대로61번길 104 (반여동)051-784-123535.194669129.1296122022-09-16
36해운대구해밀동물병원2020-05-01부산광역시 해운대구 송정광어골로 22, 1층 (송정동)051-710-176635.179306129.1976712022-09-16
37해운대구해운대 24시 동물의료원2017-06-14부산광역시 해운대구 양운로 45, 해운대베르나움 111호 (좌동)051-702-758135.167376129.1767772022-09-16
38해운대구해운대 플러스동물병원2016-05-16부산광역시 해운대구 세실로 48, 상가동 1-2, 2-2호 (좌동, 해운대삼정코아주상복합)051-915-827535.16968129.1785472022-09-16
39해운대구해운대동물메디컬센터2021-08-10부산광역시 해운대구 양운로 40, 봉황빌딩 301호 (좌동)051-702-827535.167237129.1777742022-09-16
40해운대구해운대조은동물병원2004-03-19부산광역시 해운대구 해운대로 624 (우동)051-746-777535.163569129.1592522022-09-16
41해운대구행복드림 동물병원2021-04-12부산광역시 해운대구 삼어로 61, 201호 (반여동, 우방신세계아파트)051-521-052135.202849129.1161522022-09-16
42해운대구화목종합동물병원2004-03-03부산광역시 해운대구 세실로 48, 206호 (좌동)051-704-437635.16968129.1785472022-09-16
43해운대구힐 동물병원2018-01-11부산광역시 해운대구 좌동순환로433번길 30-1, 해운대힐스테이트위브 224~227호 (중동)051-747-796635.162524129.1798462022-09-16