Overview

Dataset statistics

Number of variables8
Number of observations43
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory2.9 KiB
Average record size in memory69.1 B

Variable types

Categorical2
Text3
DateTime1
Numeric2

Dataset

Description부산광역시해운대구_동물병원_20230905
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 16:14:44.464221
Analysis finished2023-12-10 16:14:45.837692
Duration1.37 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

구군
Categorical

CONSTANT 

Distinct1
Distinct (%)2.3%
Missing0
Missing (%)0.0%
Memory size476.0 B
해운대구
43 

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 43
100.0%

Length

2023-12-11T01:14:45.926805image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T01:14:46.082228image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
해운대구 43
100.0%

동물병원이름
Text

UNIQUE 

Distinct43
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size476.0 B
2023-12-11T01:14:46.340215image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length11
Mean length8.0232558
Min length5

Characters and Unicode

Total characters345
Distinct characters96
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

Unique43 ?
Unique (%)100.0%

Sample

1st rowBS조은동물병원
2nd row갑을동물병원
3rd row김준완 동물의료센터
4th row누리동물병원
5th row닥터주 동물병원
ValueCountFrequency (%)
동물병원 10
 
16.4%
해운대 2
 
3.3%
bs조은동물병원 1
 
1.6%
아이센텀 1
 
1.6%
아이앤지동물병원 1
 
1.6%
아이케어 1
 
1.6%
오션동물메디컬센터 1
 
1.6%
온누리동물병원 1
 
1.6%
우리동물병원 1
 
1.6%
장산동물병원 1
 
1.6%
Other values (41) 41
67.2%
2023-12-11T01:14:46.945847image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
43
 
12.5%
43
 
12.5%
38
 
11.0%
37
 
10.7%
18
 
5.2%
8
 
2.3%
6
 
1.7%
6
 
1.7%
5
 
1.4%
5
 
1.4%
Other values (86) 136
39.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 323
93.6%
Space Separator 18
 
5.2%
Uppercase Letter 2
 
0.6%
Decimal Number 2
 
0.6%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
43
 
13.3%
43
 
13.3%
38
 
11.8%
37
 
11.5%
8
 
2.5%
6
 
1.9%
6
 
1.9%
5
 
1.5%
5
 
1.5%
5
 
1.5%
Other values (81) 127
39.3%
Uppercase Letter
ValueCountFrequency (%)
B 1
50.0%
S 1
50.0%
Decimal Number
ValueCountFrequency (%)
4 1
50.0%
2 1
50.0%
Space Separator
ValueCountFrequency (%)
18
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 323
93.6%
Common 20
 
5.8%
Latin 2
 
0.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
43
 
13.3%
43
 
13.3%
38
 
11.8%
37
 
11.5%
8
 
2.5%
6
 
1.9%
6
 
1.9%
5
 
1.5%
5
 
1.5%
5
 
1.5%
Other values (81) 127
39.3%
Common
ValueCountFrequency (%)
18
90.0%
4 1
 
5.0%
2 1
 
5.0%
Latin
ValueCountFrequency (%)
B 1
50.0%
S 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 323
93.6%
ASCII 22
 
6.4%

Most frequent character per block

Hangul
ValueCountFrequency (%)
43
 
13.3%
43
 
13.3%
38
 
11.8%
37
 
11.5%
8
 
2.5%
6
 
1.9%
6
 
1.9%
5
 
1.5%
5
 
1.5%
5
 
1.5%
Other values (81) 127
39.3%
ASCII
ValueCountFrequency (%)
18
81.8%
B 1
 
4.5%
4 1
 
4.5%
2 1
 
4.5%
S 1
 
4.5%

인허가일자
Date

UNIQUE 

Distinct43
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size476.0 B
Minimum1995-03-22 00:00:00
Maximum2022-03-29 00:00:00
2023-12-11T01:14:47.170516image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T01:14:47.414614image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=43)

도로명주소
Text

UNIQUE 

Distinct43
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size476.0 B
2023-12-11T01:14:47.913019image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length58
Median length42
Mean length34.093023
Min length24

Characters and Unicode

Total characters1466
Distinct characters125
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

Unique43 ?
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 43
 
15.4%
해운대구 43
 
15.4%
좌동 13
 
4.7%
우동 10
 
3.6%
2층 7
 
2.5%
해운대로 6
 
2.2%
반여동 6
 
2.2%
재송동 5
 
1.8%
좌동순환로 4
 
1.4%
중동 4
 
1.4%
Other values (115) 138
49.5%
2023-12-11T01:14:48.499359image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
236
 
16.1%
60
 
4.1%
60
 
4.1%
58
 
4.0%
58
 
4.0%
46
 
3.1%
44
 
3.0%
44
 
3.0%
43
 
2.9%
( 43
 
2.9%
Other values (115) 774
52.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 873
59.5%
Space Separator 236
 
16.1%
Decimal Number 215
 
14.7%
Open Punctuation 43
 
2.9%
Other Punctuation 43
 
2.9%
Close Punctuation 43
 
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 (%)
60
 
6.9%
60
 
6.9%
58
 
6.6%
58
 
6.6%
46
 
5.3%
44
 
5.0%
44
 
5.0%
43
 
4.9%
43
 
4.9%
43
 
4.9%
Other values (97) 374
42.8%
Decimal Number
ValueCountFrequency (%)
2 39
18.1%
1 37
17.2%
3 32
14.9%
0 26
12.1%
4 20
9.3%
6 15
 
7.0%
8 14
 
6.5%
5 13
 
6.0%
7 13
 
6.0%
9 6
 
2.8%
Uppercase Letter
ValueCountFrequency (%)
B 2
66.7%
A 1
33.3%
Space Separator
ValueCountFrequency (%)
236
100.0%
Open Punctuation
ValueCountFrequency (%)
( 43
100.0%
Other Punctuation
ValueCountFrequency (%)
, 43
100.0%
Close Punctuation
ValueCountFrequency (%)
) 43
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 7
100.0%
Math Symbol
ValueCountFrequency (%)
~ 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 873
59.5%
Common 590
40.2%
Latin 3
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
60
 
6.9%
60
 
6.9%
58
 
6.6%
58
 
6.6%
46
 
5.3%
44
 
5.0%
44
 
5.0%
43
 
4.9%
43
 
4.9%
43
 
4.9%
Other values (97) 374
42.8%
Common
ValueCountFrequency (%)
236
40.0%
( 43
 
7.3%
, 43
 
7.3%
) 43
 
7.3%
2 39
 
6.6%
1 37
 
6.3%
3 32
 
5.4%
0 26
 
4.4%
4 20
 
3.4%
6 15
 
2.5%
Other values (6) 56
 
9.5%
Latin
ValueCountFrequency (%)
B 2
66.7%
A 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 873
59.5%
ASCII 593
40.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
236
39.8%
( 43
 
7.3%
, 43
 
7.3%
) 43
 
7.3%
2 39
 
6.6%
1 37
 
6.2%
3 32
 
5.4%
0 26
 
4.4%
4 20
 
3.4%
6 15
 
2.5%
Other values (8) 59
 
9.9%
Hangul
ValueCountFrequency (%)
60
 
6.9%
60
 
6.9%
58
 
6.6%
58
 
6.6%
46
 
5.3%
44
 
5.0%
44
 
5.0%
43
 
4.9%
43
 
4.9%
43
 
4.9%
Other values (97) 374
42.8%

전화번호
Text

UNIQUE 

Distinct43
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size476.0 B
2023-12-11T01:14:48.837951image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length12
Min length12

Characters and Unicode

Total characters516
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

Unique43 ?
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%
051-744-7500 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%
051-784-0079 1
 
2.3%
051-702-7511 1
 
2.3%
Other values (33) 33
76.7%
2023-12-11T01:14:49.398336image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5 92
17.8%
- 86
16.7%
7 80
15.5%
0 77
14.9%
1 67
13.0%
4 32
 
6.2%
2 25
 
4.8%
8 20
 
3.9%
6 16
 
3.1%
9 13
 
2.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 430
83.3%
Dash Punctuation 86
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 92
21.4%
7 80
18.6%
0 77
17.9%
1 67
15.6%
4 32
 
7.4%
2 25
 
5.8%
8 20
 
4.7%
6 16
 
3.7%
9 13
 
3.0%
3 8
 
1.9%
Dash Punctuation
ValueCountFrequency (%)
- 86
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 516
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
5 92
17.8%
- 86
16.7%
7 80
15.5%
0 77
14.9%
1 67
13.0%
4 32
 
6.2%
2 25
 
4.8%
8 20
 
3.9%
6 16
 
3.1%
9 13
 
2.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 516
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5 92
17.8%
- 86
16.7%
7 80
15.5%
0 77
14.9%
1 67
13.0%
4 32
 
6.2%
2 25
 
4.8%
8 20
 
3.9%
6 16
 
3.1%
9 13
 
2.5%

위도
Real number (ℝ)

Distinct40
Distinct (%)93.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean35.178909
Minimum35.155449
Maximum35.23247
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size519.0 B
2023-12-11T01:14:49.694869image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum35.155449
5-th percentile35.159504
Q135.166248
median35.171909
Q335.189972
95-th percentile35.223316
Maximum35.23247
Range0.0770206
Interquartile range (IQR)0.02372416

Descriptive statistics

Standard deviation0.019274118
Coefficient of variation (CV)0.00054788844
Kurtosis1.3271791
Mean35.178909
Median Absolute Deviation (MAD)0.0083406
Skewness1.3382157
Sum1512.6931
Variance0.00037149161
MonotonicityNot monotonic
2023-12-11T01:14:49.913779image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=40)
ValueCountFrequency (%)
35.17190917 2
 
4.7%
35.17675704 2
 
4.7%
35.16967978 2
 
4.7%
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 (30) 30
69.8%
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)

Distinct40
Distinct (%)93.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean129.15483
Minimum129.11615
Maximum129.20632
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size519.0 B
2023-12-11T01:14:50.210107image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum129.11615
5-th percentile129.11925
Q1129.12924
median129.157
Q3129.17626
95-th percentile129.18313
Maximum129.20632
Range0.0901658
Interquartile range (IQR)0.04702305

Descriptive statistics

Standard deviation0.025175301
Coefficient of variation (CV)0.00019492342
Kurtosis-1.2649906
Mean129.15483
Median Absolute Deviation (MAD)0.0207752
Skewness-0.042359115
Sum5553.6576
Variance0.00063379577
MonotonicityNot monotonic
2023-12-11T01:14:50.542022image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=40)
ValueCountFrequency (%)
129.1314366 2
 
4.7%
129.1235919 2
 
4.7%
129.1785474 2
 
4.7%
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 (30) 30
69.8%
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
4.7%
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
4.7%
129.1777739 1
2.3%
129.1777347 1
2.3%
129.1776778 1
2.3%
129.1767774 1
2.3%

데이터기준일자
Categorical

CONSTANT 

Distinct1
Distinct (%)2.3%
Missing0
Missing (%)0.0%
Memory size476.0 B
2023-09-05
43 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2023-09-05
2nd row2023-09-05
3rd row2023-09-05
4th row2023-09-05
5th row2023-09-05

Common Values

ValueCountFrequency (%)
2023-09-05 43
100.0%

Length

2023-12-11T01:14:50.763436image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T01:14:50.933775image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2023-09-05 43
100.0%

Interactions

2023-12-11T01:14:45.208522image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T01:14:44.926702image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T01:14:45.356385image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T01:14:45.076757image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-11T01:14:51.047084image/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
위도1.0001.0001.0001.0001.0000.602
경도1.0001.0001.0001.0000.6021.000
2023-12-11T01:14:51.192668image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
위도경도
위도1.000-0.423
경도-0.4231.000

Missing values

2023-12-11T01:14:45.570476image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-11T01:14:45.766462image/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)051-544-758835.230555129.1569992023-09-05
1해운대구갑을동물병원2004-08-16부산광역시 해운대구 재반로 148, 32호 (재송동)051-784-784435.190959129.1279572023-09-05
2해운대구김준완 동물의료센터1999-01-22부산광역시 해운대구 해운대로 580, 4층 (우동)051-704-758235.161211129.1550992023-09-05
3해운대구누리동물병원2014-10-13부산광역시 해운대구 송정2로13번길 46 (송정동)051-701-759935.194809129.2063182023-09-05
4해운대구닥터주 동물병원2013-07-22부산광역시 해운대구 좌동순환로402번길 8, 204호 (좌동, 피렌체오피스텔)051-731-753035.16302129.1777352023-09-05
5해운대구달맞이 호두네 동물병원2015-05-19부산광역시 해운대구 달맞이길65번길 33, 상가동 3층 305호 (중동, 해운대 달맞이 유림 노르웨이숲)051-746-707735.161186129.1736992023-09-05
6해운대구로이종합동물병원2013-03-20부산광역시 해운대구 센텀중앙로 145, 202호 (재송동, 센텀파크상가2동)051-742-797535.176757129.1235922023-09-05
7해운대구리더스동물병원2018-11-19부산광역시 해운대구 해운대로 814, 세종월드프라자 A동 301호 (좌동)051-701-758835.169577129.1776782023-09-05
8해운대구리안 동물병원2021-02-10부산광역시 해운대구 달맞이길 58, 2층 (중동)051-747-127535.161112129.1710762023-09-05
9해운대구마리동물병원2014-06-30부산광역시 해운대구 해운대로 794, 엘리움 306호 (좌동)051-702-575035.168794129.1757412023-09-05
구군동물병원이름인허가일자도로명주소전화번호위도경도데이터기준일자
33해운대구토마스동물병원2010-02-02부산광역시 해운대구 반송로 922 (반송동)051-544-077535.23247129.1543622023-09-05
34해운대구푸른동물병원2001-07-02부산광역시 해운대구 해운대로61번길 104 (반여동)051-784-123535.194669129.1296122023-09-05
35해운대구해밀동물병원2020-05-01부산광역시 해운대구 송정광어골로 22, 1층 (송정동)051-710-176635.179306129.1976712023-09-05
36해운대구해운대 24시 동물의료원2017-06-14부산광역시 해운대구 양운로 45, 해운대베르나움 111호 (좌동)051-702-758135.167376129.1767772023-09-05
37해운대구해운대 플러스동물병원2016-05-16부산광역시 해운대구 세실로 48, 상가동 1-2, 2-2호 (좌동, 해운대삼정코아주상복합)051-915-827535.16968129.1785472023-09-05
38해운대구해운대동물메디컬센터2021-08-10부산광역시 해운대구 양운로 40, 봉황빌딩 301호 (좌동)051-702-827535.167237129.1777742023-09-05
39해운대구해운대조은동물병원2004-03-19부산광역시 해운대구 해운대로 624 (우동)051-746-777535.163569129.1592522023-09-05
40해운대구행복드림 동물병원2021-04-12부산광역시 해운대구 삼어로 61, 201호 (반여동, 우방신세계아파트)051-521-052135.202849129.1161522023-09-05
41해운대구화목종합동물병원2004-03-03부산광역시 해운대구 세실로 48, 206호 (좌동)051-704-437635.16968129.1785472023-09-05
42해운대구힐 동물병원2018-01-11부산광역시 해운대구 좌동순환로433번길 30-1, 해운대힐스테이트위브 224~227호 (중동)051-747-796635.162524129.1798462023-09-05