Overview

Dataset statistics

Number of variables4
Number of observations31
Missing cells1
Missing cells (%)0.8%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.1 KiB
Average record size in memory37.3 B

Variable types

Numeric1
Text3

Dataset

Description서울특별시 용산구 동물병원현황(연번 동물병원업소명 동물병원사업장소재지 동물병원전화번호)에 대한 데이터를 제공합니다
URLhttps://www.data.go.kr/data/3078039/fileData.do

Alerts

전화번호 has 1 (3.2%) missing valuesMissing
연번 has unique valuesUnique
업소명 has unique valuesUnique
사업장소재지(도로명) has unique valuesUnique

Reproduction

Analysis started2023-12-12 12:56:33.111666
Analysis finished2023-12-12 12:56:33.600356
Duration0.49 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

UNIQUE 

Distinct31
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean16
Minimum1
Maximum31
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size411.0 B
2023-12-12T21:56:33.675693image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2.5
Q18.5
median16
Q323.5
95-th percentile29.5
Maximum31
Range30
Interquartile range (IQR)15

Descriptive statistics

Standard deviation9.0921211
Coefficient of variation (CV)0.56825757
Kurtosis-1.2
Mean16
Median Absolute Deviation (MAD)8
Skewness0
Sum496
Variance82.666667
MonotonicityStrictly increasing
2023-12-12T21:56:33.807087image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=31)
ValueCountFrequency (%)
1 1
 
3.2%
2 1
 
3.2%
31 1
 
3.2%
30 1
 
3.2%
29 1
 
3.2%
28 1
 
3.2%
27 1
 
3.2%
26 1
 
3.2%
25 1
 
3.2%
24 1
 
3.2%
Other values (21) 21
67.7%
ValueCountFrequency (%)
1 1
3.2%
2 1
3.2%
3 1
3.2%
4 1
3.2%
5 1
3.2%
6 1
3.2%
7 1
3.2%
8 1
3.2%
9 1
3.2%
10 1
3.2%
ValueCountFrequency (%)
31 1
3.2%
30 1
3.2%
29 1
3.2%
28 1
3.2%
27 1
3.2%
26 1
3.2%
25 1
3.2%
24 1
3.2%
23 1
3.2%
22 1
3.2%

업소명
Text

UNIQUE 

Distinct31
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size380.0 B
2023-12-12T21:56:34.037732image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length28
Median length13
Mean length8.0322581
Min length5

Characters and Unicode

Total characters249
Distinct characters92
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique31 ?
Unique (%)100.0%

Sample

1st row남산동물병원
2nd row효창동물병원
3rd row21세기동물병원
4th row열린동물종합병원
5th row한남동물병원
ValueCountFrequency (%)
남산동물병원 1
 
2.8%
효창동물병원 1
 
2.8%
퍼스동물병원 1
 
2.8%
좋아서하는 1
 
2.8%
동물병원 1
 
2.8%
바다동물병원(bada 1
 
2.8%
animal 1
 
2.8%
hospital 1
 
2.8%
24시 1
 
2.8%
시유동물메디컬센터 1
 
2.8%
Other values (26) 26
72.2%
2023-12-12T21:56:34.495559image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
동 31
 
12.4%
물 31
 
12.4%
원 31
 
12.4%
병 28
 
11.2%
이 5
 
2.0%
5
 
2.0%
a 4
 
1.6%
남 3
 
1.2%
터 3
 
1.2%
센 3
 
1.2%
Other values (82) 105
42.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 218
87.6%
Lowercase Letter 15
 
6.0%
Space Separator 5
 
2.0%
Decimal Number 4
 
1.6%
Uppercase Letter 3
 
1.2%
Close Punctuation 2
 
0.8%
Open Punctuation 2
 
0.8%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 31
14.2%
물 31
14.2%
원 31
14.2%
병 28
 
12.8%
이 5
 
2.3%
남 3
 
1.4%
터 3
 
1.4%
센 3
 
1.4%
한 3
 
1.4%
합 3
 
1.4%
Other values (63) 77
35.3%
Lowercase Letter
ValueCountFrequency (%)
a 4
26.7%
i 2
13.3%
l 2
13.3%
s 1
 
6.7%
o 1
 
6.7%
m 1
 
6.7%
t 1
 
6.7%
n 1
 
6.7%
d 1
 
6.7%
p 1
 
6.7%
Decimal Number
ValueCountFrequency (%)
2 2
50.0%
1 1
25.0%
4 1
25.0%
Uppercase Letter
ValueCountFrequency (%)
H 1
33.3%
A 1
33.3%
B 1
33.3%
Space Separator
ValueCountFrequency (%)
5
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 218
87.6%
Latin 18
 
7.2%
Common 13
 
5.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 31
14.2%
물 31
14.2%
원 31
14.2%
병 28
 
12.8%
이 5
 
2.3%
남 3
 
1.4%
터 3
 
1.4%
센 3
 
1.4%
한 3
 
1.4%
합 3
 
1.4%
Other values (63) 77
35.3%
Latin
ValueCountFrequency (%)
a 4
22.2%
i 2
11.1%
l 2
11.1%
s 1
 
5.6%
o 1
 
5.6%
H 1
 
5.6%
m 1
 
5.6%
t 1
 
5.6%
n 1
 
5.6%
A 1
 
5.6%
Other values (3) 3
16.7%
Common
ValueCountFrequency (%)
5
38.5%
) 2
 
15.4%
( 2
 
15.4%
2 2
 
15.4%
1 1
 
7.7%
4 1
 
7.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 218
87.6%
ASCII 31
 
12.4%

Most frequent character per block

Hangul
ValueCountFrequency (%)
동 31
14.2%
물 31
14.2%
원 31
14.2%
병 28
 
12.8%
이 5
 
2.3%
남 3
 
1.4%
터 3
 
1.4%
센 3
 
1.4%
한 3
 
1.4%
합 3
 
1.4%
Other values (63) 77
35.3%
ASCII
ValueCountFrequency (%)
5
16.1%
a 4
12.9%
i 2
 
6.5%
l 2
 
6.5%
) 2
 
6.5%
( 2
 
6.5%
2 2
 
6.5%
s 1
 
3.2%
o 1
 
3.2%
H 1
 
3.2%
Other values (9) 9
29.0%

사업장소재지(도로명)
Text

UNIQUE 

Distinct31
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size380.0 B
2023-12-12T21:56:34.843502image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length54
Median length39
Mean length33.83871
Min length22

Characters and Unicode

Total characters1049
Distinct characters103
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

Unique31 ?
Unique (%)100.0%

Sample

1st row서울특별시 용산구 후암로 51, 지상1층 (후암동)
2nd row서울특별시 용산구 백범로 293 (효창동)
3rd row서울특별시 용산구 보광로 46, 용호빌딩 지상2층 202,203호 (보광동)
4th row서울특별시 용산구 원효로 171, 신영빌딩 (원효로2가)
5th row서울특별시 용산구 대사관로24길 28 (한남동)
ValueCountFrequency (%)
서울특별시 31
 
15.0%
용산구 31
 
15.0%
지상1층 6
 
2.9%
한남동 5
 
2.4%
이촌동 5
 
2.4%
백범로 4
 
1.9%
이촌로 4
 
1.9%
서빙고로 3
 
1.5%
248 3
 
1.5%
이태원동 3
 
1.5%
Other values (89) 111
53.9%
2023-12-12T21:56:35.619382image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
175
 
16.7%
1 55
 
5.2%
용 39
 
3.7%
산 39
 
3.7%
로 36
 
3.4%
, 36
 
3.4%
서 35
 
3.3%
시 34
 
3.2%
동 33
 
3.1%
2 32
 
3.1%
Other values (93) 535
51.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 600
57.2%
Space Separator 175
 
16.7%
Decimal Number 167
 
15.9%
Other Punctuation 36
 
3.4%
Open Punctuation 31
 
3.0%
Close Punctuation 31
 
3.0%
Dash Punctuation 7
 
0.7%
Uppercase Letter 2
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
용 39
 
6.5%
산 39
 
6.5%
로 36
 
6.0%
서 35
 
5.8%
시 34
 
5.7%
동 33
 
5.5%
구 31
 
5.2%
울 31
 
5.2%
별 31
 
5.2%
특 31
 
5.2%
Other values (76) 260
43.3%
Decimal Number
ValueCountFrequency (%)
1 55
32.9%
2 32
19.2%
4 15
 
9.0%
3 15
 
9.0%
0 14
 
8.4%
6 10
 
6.0%
5 8
 
4.8%
8 8
 
4.8%
7 7
 
4.2%
9 3
 
1.8%
Uppercase Letter
ValueCountFrequency (%)
A 1
50.0%
B 1
50.0%
Space Separator
ValueCountFrequency (%)
175
100.0%
Other Punctuation
ValueCountFrequency (%)
, 36
100.0%
Open Punctuation
ValueCountFrequency (%)
( 31
100.0%
Close Punctuation
ValueCountFrequency (%)
) 31
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 7
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 600
57.2%
Common 447
42.6%
Latin 2
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
용 39
 
6.5%
산 39
 
6.5%
로 36
 
6.0%
서 35
 
5.8%
시 34
 
5.7%
동 33
 
5.5%
구 31
 
5.2%
울 31
 
5.2%
별 31
 
5.2%
특 31
 
5.2%
Other values (76) 260
43.3%
Common
ValueCountFrequency (%)
175
39.1%
1 55
 
12.3%
, 36
 
8.1%
2 32
 
7.2%
( 31
 
6.9%
) 31
 
6.9%
4 15
 
3.4%
3 15
 
3.4%
0 14
 
3.1%
6 10
 
2.2%
Other values (5) 33
 
7.4%
Latin
ValueCountFrequency (%)
A 1
50.0%
B 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 600
57.2%
ASCII 449
42.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
175
39.0%
1 55
 
12.2%
, 36
 
8.0%
2 32
 
7.1%
( 31
 
6.9%
) 31
 
6.9%
4 15
 
3.3%
3 15
 
3.3%
0 14
 
3.1%
6 10
 
2.2%
Other values (7) 35
 
7.8%
Hangul
ValueCountFrequency (%)
용 39
 
6.5%
산 39
 
6.5%
로 36
 
6.0%
서 35
 
5.8%
시 34
 
5.7%
동 33
 
5.5%
구 31
 
5.2%
울 31
 
5.2%
별 31
 
5.2%
특 31
 
5.2%
Other values (76) 260
43.3%

전화번호
Text

MISSING 

Distinct29
Distinct (%)96.7%
Missing1
Missing (%)3.2%
Memory size380.0 B
2023-12-12T21:56:35.814022image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length11
Mean length11.1
Min length11

Characters and Unicode

Total characters333
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

Unique28 ?
Unique (%)93.3%

Sample

1st row02-778-7582
2nd row02-711-4527
3rd row02-749-6750
4th row02-3273-0075
5th row02-793-9230
ValueCountFrequency (%)
02-792-5455 2
 
6.7%
02-706-7975 1
 
3.3%
02-6956-2280 1
 
3.3%
02-719-8275 1
 
3.3%
02-797-1275 1
 
3.3%
02-792-8275 1
 
3.3%
02-749-7588 1
 
3.3%
02-793-0075 1
 
3.3%
02-792-2561 1
 
3.3%
02-703-0075 1
 
3.3%
Other values (19) 19
63.3%
2023-12-12T21:56:36.169976image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 60
18.0%
7 56
16.8%
2 54
16.2%
0 53
15.9%
5 30
9.0%
9 26
7.8%
8 14
 
4.2%
1 13
 
3.9%
3 11
 
3.3%
4 8
 
2.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 273
82.0%
Dash Punctuation 60
 
18.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
7 56
20.5%
2 54
19.8%
0 53
19.4%
5 30
11.0%
9 26
9.5%
8 14
 
5.1%
1 13
 
4.8%
3 11
 
4.0%
4 8
 
2.9%
6 8
 
2.9%
Dash Punctuation
ValueCountFrequency (%)
- 60
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 333
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 60
18.0%
7 56
16.8%
2 54
16.2%
0 53
15.9%
5 30
9.0%
9 26
7.8%
8 14
 
4.2%
1 13
 
3.9%
3 11
 
3.3%
4 8
 
2.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 333
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 60
18.0%
7 56
16.8%
2 54
16.2%
0 53
15.9%
5 30
9.0%
9 26
7.8%
8 14
 
4.2%
1 13
 
3.9%
3 11
 
3.3%
4 8
 
2.4%

Interactions

2023-12-12T21:56:33.331562image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T21:56:36.260516image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번업소명사업장소재지(도로명)전화번호
연번1.0001.0001.0000.927
업소명1.0001.0001.0001.000
사업장소재지(도로명)1.0001.0001.0001.000
전화번호0.9271.0001.0001.000

Missing values

2023-12-12T21:56:33.457969image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T21:56:33.555715image/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

연번업소명사업장소재지(도로명)전화번호
01남산동물병원서울특별시 용산구 후암로 51, 지상1층 (후암동)02-778-7582
12효창동물병원서울특별시 용산구 백범로 293 (효창동)02-711-4527
2321세기동물병원서울특별시 용산구 보광로 46, 용호빌딩 지상2층 202,203호 (보광동)02-749-6750
34열린동물종합병원서울특별시 용산구 원효로 171, 신영빌딩 (원효로2가)02-3273-0075
45한남동물병원서울특별시 용산구 대사관로24길 28 (한남동)02-793-9230
56원효종합동물병원서울특별시 용산구 새창로 122-2(용문동)02-719-7070
67한사랑동물병원서울특별시 용산구 신흥로 36-1 (용산동2가)02-749-8275
78청화종합동물병원서울특별시 용산구 보광로 90, 태광빌딩 1층 (이태원동)02-792-7602
89펫토이동물병원서울특별시 용산구 대사관로 32 (한남동)02-795-2184
910금강동물병원서울특별시 용산구 이촌로 300, 렉스상가 8-1,8-2호 (이촌동)02-798-7512
연번업소명사업장소재지(도로명)전화번호
2122좋아서하는 동물병원서울특별시 용산구 백범로 341, B동 지상1층 113,114호 (원효로1가, 리첸시아 용산)02-703-0075
2223바다동물병원(Bada Animal Hospital)서울특별시 용산구 서빙고로 67, 지하1층 비21호 (용산동5가, 파크타워)02-792-2561
232424시 시유동물메디컬센터서울특별시 용산구 이촌로64길 24, 지상1층 101호 (이촌동)02-793-0075
2425베이동물병원서울특별시 용산구 이촌로 248, 11동 102호 (이촌동, 한강맨션)02-749-7588
2526더힐동물의료센터서울특별시 용산구 독서당로 81-1, 아이리스프라자 지상3층 (한남동)02-792-8275
2627워너비동물병원 용산점서울특별시 용산구 서빙고로 35, 101동 101호 (한강로3가, 용산시티파크1단지)02-797-1275
2728원스동물병원서울특별시 용산구 청파로47길 16, 지상1층 (청파동2가)02-719-8275
2829더벳한남동물병원서울특별시 용산구 이태원로 227, 1층 (한남동)02-6956-2280
2930이상윤동물병원서울특별시 용산구 이촌로 248, 31동 105-2호 (이촌동, 한강맨션)02-792-5455
3031에스동물병원서울특별시 용산구 서빙고로 17, 헤링턴스퀘어 센트럴파크 몰동 1146, 1147호 (한강로3가)<NA>