Overview

Dataset statistics

Number of variables5
Number of observations49
Missing cells1
Missing cells (%)0.4%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory2.1 KiB
Average record size in memory43.6 B

Variable types

Numeric1
Text3
Categorical1

Dataset

Description남양주시 광견병에 대하여 예방접종을 실시하는 동물병원 데이터로 동물병원이릠, 주소, 전화번호 등의 항목을 제공합니다.
Author경기도 남양주시
URLhttps://www.data.go.kr/data/3045038/fileData.do

Alerts

데이터기준일 has constant value ""Constant
전화번호 has 1 (2.0%) missing valuesMissing
연번 has unique valuesUnique
동물병원 has unique valuesUnique
주소 has unique valuesUnique

Reproduction

Analysis started2024-03-14 09:18:15.481804
Analysis finished2024-03-14 09:18:16.574528
Duration1.09 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

UNIQUE 

Distinct49
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean25
Minimum1
Maximum49
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size569.0 B
2024-03-14T18:18:16.795320image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile3.4
Q113
median25
Q337
95-th percentile46.6
Maximum49
Range48
Interquartile range (IQR)24

Descriptive statistics

Standard deviation14.28869
Coefficient of variation (CV)0.57154761
Kurtosis-1.2
Mean25
Median Absolute Deviation (MAD)12
Skewness0
Sum1225
Variance204.16667
MonotonicityStrictly increasing
2024-03-14T18:18:17.241086image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=49)
ValueCountFrequency (%)
1 1
 
2.0%
38 1
 
2.0%
28 1
 
2.0%
29 1
 
2.0%
30 1
 
2.0%
31 1
 
2.0%
32 1
 
2.0%
33 1
 
2.0%
34 1
 
2.0%
35 1
 
2.0%
Other values (39) 39
79.6%
ValueCountFrequency (%)
1 1
2.0%
2 1
2.0%
3 1
2.0%
4 1
2.0%
5 1
2.0%
6 1
2.0%
7 1
2.0%
8 1
2.0%
9 1
2.0%
10 1
2.0%
ValueCountFrequency (%)
49 1
2.0%
48 1
2.0%
47 1
2.0%
46 1
2.0%
45 1
2.0%
44 1
2.0%
43 1
2.0%
42 1
2.0%
41 1
2.0%
40 1
2.0%

동물병원
Text

UNIQUE 

Distinct49
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size520.0 B
2024-03-14T18:18:18.125546image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length15
Median length6
Mean length7.3469388
Min length6

Characters and Unicode

Total characters360
Distinct characters97
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique49 ?
Unique (%)100.0%

Sample

1st row대관령동물병원
2nd row한강동물병원
3rd row25시동물병원
4th row드림동물병원
5th row해피동물병원
ValueCountFrequency (%)
동물병원 7
 
10.9%
동물메디컬센터 2
 
3.1%
24시 2
 
3.1%
대관령동물병원 1
 
1.6%
위드힐 1
 
1.6%
1
 
1.6%
화도동물병원 1
 
1.6%
오남동물병원 1
 
1.6%
이리온 1
 
1.6%
메디 1
 
1.6%
Other values (46) 46
71.9%
2024-03-14T18:18:19.124338image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
52
 
14.4%
50
 
13.9%
44
 
12.2%
44
 
12.2%
15
 
4.2%
5
 
1.4%
5
 
1.4%
4
 
1.1%
4
 
1.1%
4
 
1.1%
Other values (87) 133
36.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 336
93.3%
Space Separator 15
 
4.2%
Decimal Number 9
 
2.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
52
15.5%
50
14.9%
44
 
13.1%
44
 
13.1%
5
 
1.5%
5
 
1.5%
4
 
1.2%
4
 
1.2%
4
 
1.2%
3
 
0.9%
Other values (81) 121
36.0%
Decimal Number
ValueCountFrequency (%)
2 3
33.3%
4 2
22.2%
5 2
22.2%
6 1
 
11.1%
3 1
 
11.1%
Space Separator
ValueCountFrequency (%)
15
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 336
93.3%
Common 24
 
6.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
52
15.5%
50
14.9%
44
 
13.1%
44
 
13.1%
5
 
1.5%
5
 
1.5%
4
 
1.2%
4
 
1.2%
4
 
1.2%
3
 
0.9%
Other values (81) 121
36.0%
Common
ValueCountFrequency (%)
15
62.5%
2 3
 
12.5%
4 2
 
8.3%
5 2
 
8.3%
6 1
 
4.2%
3 1
 
4.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 336
93.3%
ASCII 24
 
6.7%

Most frequent character per block

Hangul
ValueCountFrequency (%)
52
15.5%
50
14.9%
44
 
13.1%
44
 
13.1%
5
 
1.5%
5
 
1.5%
4
 
1.2%
4
 
1.2%
4
 
1.2%
3
 
0.9%
Other values (81) 121
36.0%
ASCII
ValueCountFrequency (%)
15
62.5%
2 3
 
12.5%
4 2
 
8.3%
5 2
 
8.3%
6 1
 
4.2%
3 1
 
4.2%

주소
Text

UNIQUE 

Distinct49
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size520.0 B
2024-03-14T18:18:20.290974image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length41
Median length32
Mean length27.510204
Min length15

Characters and Unicode

Total characters1348
Distinct characters125
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

Unique49 ?
Unique (%)100.0%

Sample

1st row경기도 남양주시 금곡로 44, 성원빌딩 (금곡동)
2nd row경기도 남양주시 퇴계원읍 경춘북로 516
3rd row경기도 남양주시 화도읍 마석중앙로 70
4th row경기도 남양주시 진접읍 장현로 134-2
5th row경기도 남양주시 와부읍 덕소로 218
ValueCountFrequency (%)
경기도 49
 
17.0%
남양주시 49
 
17.0%
진접읍 8
 
2.8%
화도읍 8
 
2.8%
경춘로 7
 
2.4%
별내동 6
 
2.1%
다산동 6
 
2.1%
1층 5
 
1.7%
와부읍 5
 
1.7%
2층 4
 
1.4%
Other values (122) 142
49.1%
2024-03-14T18:18:21.698477image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
240
 
17.8%
62
 
4.6%
1 60
 
4.5%
58
 
4.3%
53
 
3.9%
50
 
3.7%
49
 
3.6%
49
 
3.6%
49
 
3.6%
49
 
3.6%
Other values (115) 629
46.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 777
57.6%
Decimal Number 242
 
18.0%
Space Separator 240
 
17.8%
Other Punctuation 27
 
2.0%
Open Punctuation 24
 
1.8%
Close Punctuation 24
 
1.8%
Dash Punctuation 9
 
0.7%
Math Symbol 2
 
0.1%
Uppercase Letter 2
 
0.1%
Lowercase Letter 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
62
 
8.0%
58
 
7.5%
53
 
6.8%
50
 
6.4%
49
 
6.3%
49
 
6.3%
49
 
6.3%
49
 
6.3%
25
 
3.2%
24
 
3.1%
Other values (96) 309
39.8%
Decimal Number
ValueCountFrequency (%)
1 60
24.8%
2 40
16.5%
3 29
12.0%
0 28
11.6%
5 17
 
7.0%
8 16
 
6.6%
4 16
 
6.6%
7 13
 
5.4%
9 12
 
5.0%
6 11
 
4.5%
Uppercase Letter
ValueCountFrequency (%)
K 1
50.0%
B 1
50.0%
Space Separator
ValueCountFrequency (%)
240
100.0%
Other Punctuation
ValueCountFrequency (%)
, 27
100.0%
Open Punctuation
ValueCountFrequency (%)
( 24
100.0%
Close Punctuation
ValueCountFrequency (%)
) 24
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 9
100.0%
Math Symbol
ValueCountFrequency (%)
~ 2
100.0%
Lowercase Letter
ValueCountFrequency (%)
e 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 777
57.6%
Common 568
42.1%
Latin 3
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
62
 
8.0%
58
 
7.5%
53
 
6.8%
50
 
6.4%
49
 
6.3%
49
 
6.3%
49
 
6.3%
49
 
6.3%
25
 
3.2%
24
 
3.1%
Other values (96) 309
39.8%
Common
ValueCountFrequency (%)
240
42.3%
1 60
 
10.6%
2 40
 
7.0%
3 29
 
5.1%
0 28
 
4.9%
, 27
 
4.8%
( 24
 
4.2%
) 24
 
4.2%
5 17
 
3.0%
8 16
 
2.8%
Other values (6) 63
 
11.1%
Latin
ValueCountFrequency (%)
K 1
33.3%
B 1
33.3%
e 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 777
57.6%
ASCII 571
42.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
240
42.0%
1 60
 
10.5%
2 40
 
7.0%
3 29
 
5.1%
0 28
 
4.9%
, 27
 
4.7%
( 24
 
4.2%
) 24
 
4.2%
5 17
 
3.0%
8 16
 
2.8%
Other values (9) 66
 
11.6%
Hangul
ValueCountFrequency (%)
62
 
8.0%
58
 
7.5%
53
 
6.8%
50
 
6.4%
49
 
6.3%
49
 
6.3%
49
 
6.3%
49
 
6.3%
25
 
3.2%
24
 
3.1%
Other values (96) 309
39.8%

전화번호
Text

MISSING 

Distinct47
Distinct (%)97.9%
Missing1
Missing (%)2.0%
Memory size520.0 B
2024-03-14T18:18:22.482873image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length18
Median length12
Mean length12.166667
Min length12

Characters and Unicode

Total characters584
Distinct characters13
Distinct categories4 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique46 ?
Unique (%)95.8%

Sample

1st row031-591-7270
2nd row031-571-8275
3rd row031-594-3119
4th row031-574-7595
5th row031-521-7573
ValueCountFrequency (%)
031-551-8275 2
 
4.2%
031-565-7553 1
 
2.1%
031-595-7582 1
 
2.1%
031-523-3013(2165 1
 
2.1%
031-848-8575 1
 
2.1%
031-553-7585 1
 
2.1%
031-594-7562 1
 
2.1%
031-575-7598 1
 
2.1%
031-575-9725 1
 
2.1%
0507-1309-6354 1
 
2.1%
Other values (37) 37
77.1%
2024-03-14T18:18:23.618241image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5 109
18.7%
- 96
16.4%
1 80
13.7%
0 68
11.6%
3 65
11.1%
7 54
9.2%
9 29
 
5.0%
2 28
 
4.8%
8 21
 
3.6%
4 19
 
3.3%
Other values (3) 15
 
2.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 486
83.2%
Dash Punctuation 96
 
16.4%
Open Punctuation 1
 
0.2%
Close Punctuation 1
 
0.2%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 109
22.4%
1 80
16.5%
0 68
14.0%
3 65
13.4%
7 54
11.1%
9 29
 
6.0%
2 28
 
5.8%
8 21
 
4.3%
4 19
 
3.9%
6 13
 
2.7%
Dash Punctuation
ValueCountFrequency (%)
- 96
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 584
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
5 109
18.7%
- 96
16.4%
1 80
13.7%
0 68
11.6%
3 65
11.1%
7 54
9.2%
9 29
 
5.0%
2 28
 
4.8%
8 21
 
3.6%
4 19
 
3.3%
Other values (3) 15
 
2.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 584
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5 109
18.7%
- 96
16.4%
1 80
13.7%
0 68
11.6%
3 65
11.1%
7 54
9.2%
9 29
 
5.0%
2 28
 
4.8%
8 21
 
3.6%
4 19
 
3.3%
Other values (3) 15
 
2.6%

데이터기준일
Categorical

CONSTANT 

Distinct1
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size520.0 B
2024-01-23
49 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2024-01-23
2nd row2024-01-23
3rd row2024-01-23
4th row2024-01-23
5th row2024-01-23

Common Values

ValueCountFrequency (%)
2024-01-23 49
100.0%

Length

2024-03-14T18:18:23.840765image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T18:18:23.995671image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2024-01-23 49
100.0%

Interactions

2024-03-14T18:18:15.810499image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-03-14T18:18:24.094013image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번동물병원주소전화번호
연번1.0001.0001.0000.938
동물병원1.0001.0001.0001.000
주소1.0001.0001.0001.000
전화번호0.9381.0001.0001.000

Missing values

2024-03-14T18:18:16.133395image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-14T18:18:16.448833image/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

연번동물병원주소전화번호데이터기준일
01대관령동물병원경기도 남양주시 금곡로 44, 성원빌딩 (금곡동)031-591-72702024-01-23
12한강동물병원경기도 남양주시 퇴계원읍 경춘북로 516031-571-82752024-01-23
2325시동물병원경기도 남양주시 화도읍 마석중앙로 70031-594-31192024-01-23
34드림동물병원경기도 남양주시 진접읍 장현로 134-2031-574-75952024-01-23
45해피동물병원경기도 남양주시 와부읍 덕소로 218031-521-75732024-01-23
56참사랑동물병원경기도 남양주시 도농로 32, 306호 (도농동)031-512-32002024-01-23
67강아지나라동물병원경기도 남양주시 진접읍 장현로 112-1031-574-59572024-01-23
78동인동물병원경기도 남양주시 호평로 63 (호평동)031-592-82752024-01-23
89덕소동물병원경기도 남양주시 와부읍 덕소로 88031-576-75352024-01-23
910나루동물병원경기도 남양주시 경춘로 404 (도농동)031-554-85752024-01-23
연번동물병원주소전화번호데이터기준일
3940다산 봄 동물병원경기도 남양주시 다산지금로 136, 푸리마타워 2층 205호 (다산동)031-551-11752024-01-23
4041하랑동물병원경기도 남양주시 경춘로 470, 1,2층 (다산동)031-522-67672024-01-23
4142진건동물병원경기도 남양주시 진건읍 사릉로 411-2<NA>2024-01-23
4243동진동물병원경기도 남양주시 화도읍 경춘로 1969-9, 나동 17,18호031-593-94052024-01-23
4344위너스동물의료센터경기도 남양주시 호평로45번길 28, 2층 201호 (호평동)031-511-75822024-01-23
4445하이동물병원경기도 남양주시 오남읍 진건오남로 778, 선일프라자 205호031-571-40092024-01-23
4546진접솔동물병원경기도 남양주시 진접읍 금강로 1557, 101~103호031-574-11122024-01-23
4647스텔라동물의료센터경기도 남양주시 다산중앙로 128번길 22-8,303~304호031-522-66752024-01-23
474824시 공감365동물의료센터경기도 남양주시 진접읍 해밀예당1로 220, 엠타워201호031-575-82752024-01-23
4849바른동물병원경기도 남양주시 늘을1로 3031-559-40012024-01-23