Overview

Dataset statistics

Number of variables4
Number of observations81
Missing cells50
Missing cells (%)15.4%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory2.7 KiB
Average record size in memory34.6 B

Variable types

Numeric1
Text3

Dataset

Description부산광역시 부산진구 동물미용업 현황 자료입니다. 사업장명칭, 소재지주소, 소재지 전화번호 정보 등의 항목을 제공합니다.
URLhttps://www.data.go.kr/data/15085208/fileData.do

Alerts

소재지전화 has 50 (61.7%) missing valuesMissing
연번 has unique valuesUnique
영업장명칭 has unique valuesUnique
소재지주소(도로명) has unique valuesUnique

Reproduction

Analysis started2023-12-11 23:48:52.800230
Analysis finished2023-12-11 23:48:53.534312
Duration0.73 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

UNIQUE 

Distinct81
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean41
Minimum1
Maximum81
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size861.0 B
2023-12-12T08:48:53.599304image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile5
Q121
median41
Q361
95-th percentile77
Maximum81
Range80
Interquartile range (IQR)40

Descriptive statistics

Standard deviation23.526581
Coefficient of variation (CV)0.57381904
Kurtosis-1.2
Mean41
Median Absolute Deviation (MAD)20
Skewness0
Sum3321
Variance553.5
MonotonicityStrictly increasing
2023-12-12T08:48:53.730509image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
1.2%
62 1
 
1.2%
60 1
 
1.2%
59 1
 
1.2%
58 1
 
1.2%
57 1
 
1.2%
56 1
 
1.2%
55 1
 
1.2%
54 1
 
1.2%
53 1
 
1.2%
Other values (71) 71
87.7%
ValueCountFrequency (%)
1 1
1.2%
2 1
1.2%
3 1
1.2%
4 1
1.2%
5 1
1.2%
6 1
1.2%
7 1
1.2%
8 1
1.2%
9 1
1.2%
10 1
1.2%
ValueCountFrequency (%)
81 1
1.2%
80 1
1.2%
79 1
1.2%
78 1
1.2%
77 1
1.2%
76 1
1.2%
75 1
1.2%
74 1
1.2%
73 1
1.2%
72 1
1.2%

영업장명칭
Text

UNIQUE 

Distinct81
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size780.0 B
2023-12-12T08:48:54.010759image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length31
Median length21
Mean length6.4444444
Min length2

Characters and Unicode

Total characters522
Distinct characters192
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique81 ?
Unique (%)100.0%

Sample

1st row부산애견
2nd row멍냥이그루밍아카데미
3rd row시원애견
4th row도그도그
5th row미스터독
ValueCountFrequency (%)
고양이 2
 
1.9%
미스터독 2
 
1.9%
동물병원 2
 
1.9%
부산애견 1
 
0.9%
아멜리몽 1
 
0.9%
더 1
 
0.9%
퍼피몰리 1
 
0.9%
부산강아지분양 1
 
0.9%
봉그루밍 1
 
0.9%
doozy 1
 
0.9%
Other values (94) 94
87.9%
2023-12-12T08:48:54.430155image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
26
 
5.0%
원 16
 
3.1%
동 14
 
2.7%
물 13
 
2.5%
애 13
 
2.5%
스 12
 
2.3%
펫 12
 
2.3%
병 12
 
2.3%
견 12
 
2.3%
그 11
 
2.1%
Other values (182) 381
73.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 429
82.2%
Space Separator 26
 
5.0%
Lowercase Letter 26
 
5.0%
Uppercase Letter 19
 
3.6%
Decimal Number 7
 
1.3%
Open Punctuation 5
 
1.0%
Close Punctuation 5
 
1.0%
Other Punctuation 5
 
1.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
원 16
 
3.7%
동 14
 
3.3%
물 13
 
3.0%
애 13
 
3.0%
스 12
 
2.8%
펫 12
 
2.8%
병 12
 
2.8%
견 12
 
2.8%
그 11
 
2.6%
미 10
 
2.3%
Other values (146) 304
70.9%
Lowercase Letter
ValueCountFrequency (%)
t 4
15.4%
e 4
15.4%
o 4
15.4%
p 2
7.7%
a 2
7.7%
g 2
7.7%
l 2
7.7%
r 1
 
3.8%
w 1
 
3.8%
v 1
 
3.8%
Other values (3) 3
11.5%
Uppercase Letter
ValueCountFrequency (%)
D 4
21.1%
O 3
15.8%
S 3
15.8%
Y 2
10.5%
G 1
 
5.3%
V 1
 
5.3%
E 1
 
5.3%
R 1
 
5.3%
Z 1
 
5.3%
A 1
 
5.3%
Decimal Number
ValueCountFrequency (%)
2 2
28.6%
4 2
28.6%
5 1
14.3%
0 1
14.3%
1 1
14.3%
Other Punctuation
ValueCountFrequency (%)
' 2
40.0%
& 1
20.0%
# 1
20.0%
＆ 1
20.0%
Space Separator
ValueCountFrequency (%)
26
100.0%
Open Punctuation
ValueCountFrequency (%)
( 5
100.0%
Close Punctuation
ValueCountFrequency (%)
) 5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 429
82.2%
Common 48
 
9.2%
Latin 45
 
8.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
원 16
 
3.7%
동 14
 
3.3%
물 13
 
3.0%
애 13
 
3.0%
스 12
 
2.8%
펫 12
 
2.8%
병 12
 
2.8%
견 12
 
2.8%
그 11
 
2.6%
미 10
 
2.3%
Other values (146) 304
70.9%
Latin
ValueCountFrequency (%)
D 4
 
8.9%
t 4
 
8.9%
e 4
 
8.9%
o 4
 
8.9%
O 3
 
6.7%
S 3
 
6.7%
Y 2
 
4.4%
p 2
 
4.4%
a 2
 
4.4%
g 2
 
4.4%
Other values (14) 15
33.3%
Common
ValueCountFrequency (%)
26
54.2%
( 5
 
10.4%
) 5
 
10.4%
2 2
 
4.2%
4 2
 
4.2%
' 2
 
4.2%
5 1
 
2.1%
0 1
 
2.1%
1 1
 
2.1%
& 1
 
2.1%
Other values (2) 2
 
4.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 429
82.2%
ASCII 92
 
17.6%
None 1
 
0.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
26
28.3%
( 5
 
5.4%
) 5
 
5.4%
D 4
 
4.3%
t 4
 
4.3%
e 4
 
4.3%
o 4
 
4.3%
O 3
 
3.3%
S 3
 
3.3%
Y 2
 
2.2%
Other values (25) 32
34.8%
Hangul
ValueCountFrequency (%)
원 16
 
3.7%
동 14
 
3.3%
물 13
 
3.0%
애 13
 
3.0%
스 12
 
2.8%
펫 12
 
2.8%
병 12
 
2.8%
견 12
 
2.8%
그 11
 
2.6%
미 10
 
2.3%
Other values (146) 304
70.9%
None
ValueCountFrequency (%)
＆ 1
100.0%

소재지주소(도로명)
Text

UNIQUE 

Distinct81
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size780.0 B
2023-12-12T08:48:54.738003image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length62
Median length47
Mean length31.382716
Min length22

Characters and Unicode

Total characters2542
Distinct characters137
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

Unique81 ?
Unique (%)100.0%

Sample

1st row부산광역시 부산진구 중앙대로 867 (양정동)
2nd row부산광역시 부산진구 가야대로482번길 53 (개금동)
3rd row부산광역시 부산진구 거제대로 16-1 (양정동)
4th row부산광역시 부산진구 거제대로 20-1 (양정동)
5th row부산광역시 부산진구 전포대로 274 (전포동,대우디오빌투상가)
ValueCountFrequency (%)
부산광역시 81
 
16.4%
부산진구 81
 
16.4%
1층 18
 
3.6%
양정동 18
 
3.6%
2층 13
 
2.6%
전포동 11
 
2.2%
가야대로 10
 
2.0%
가야동 8
 
1.6%
부전동 8
 
1.6%
동평로 7
 
1.4%
Other values (160) 239
48.4%
2023-12-12T08:48:55.260286image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
413
 
16.2%
부 177
 
7.0%
산 162
 
6.4%
동 109
 
4.3%
1 100
 
3.9%
시 84
 
3.3%
로 82
 
3.2%
광 82
 
3.2%
진 82
 
3.2%
( 81
 
3.2%
Other values (127) 1170
46.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1530
60.2%
Space Separator 413
 
16.2%
Decimal Number 353
 
13.9%
Open Punctuation 81
 
3.2%
Close Punctuation 81
 
3.2%
Other Punctuation 69
 
2.7%
Dash Punctuation 12
 
0.5%
Uppercase Letter 3
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
부 177
 
11.6%
산 162
 
10.6%
동 109
 
7.1%
시 84
 
5.5%
로 82
 
5.4%
광 82
 
5.4%
진 82
 
5.4%
구 81
 
5.3%
역 81
 
5.3%
대 37
 
2.4%
Other values (111) 553
36.1%
Decimal Number
ValueCountFrequency (%)
1 100
28.3%
2 57
16.1%
0 33
 
9.3%
6 27
 
7.6%
7 27
 
7.6%
5 27
 
7.6%
3 27
 
7.6%
4 23
 
6.5%
8 16
 
4.5%
9 16
 
4.5%
Space Separator
ValueCountFrequency (%)
413
100.0%
Open Punctuation
ValueCountFrequency (%)
( 81
100.0%
Close Punctuation
ValueCountFrequency (%)
) 81
100.0%
Other Punctuation
ValueCountFrequency (%)
, 69
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 12
100.0%
Uppercase Letter
ValueCountFrequency (%)
B 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1530
60.2%
Common 1009
39.7%
Latin 3
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
부 177
 
11.6%
산 162
 
10.6%
동 109
 
7.1%
시 84
 
5.5%
로 82
 
5.4%
광 82
 
5.4%
진 82
 
5.4%
구 81
 
5.3%
역 81
 
5.3%
대 37
 
2.4%
Other values (111) 553
36.1%
Common
ValueCountFrequency (%)
413
40.9%
1 100
 
9.9%
( 81
 
8.0%
) 81
 
8.0%
, 69
 
6.8%
2 57
 
5.6%
0 33
 
3.3%
6 27
 
2.7%
7 27
 
2.7%
5 27
 
2.7%
Other values (5) 94
 
9.3%
Latin
ValueCountFrequency (%)
B 3
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1530
60.2%
ASCII 1012
39.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
413
40.8%
1 100
 
9.9%
( 81
 
8.0%
) 81
 
8.0%
, 69
 
6.8%
2 57
 
5.6%
0 33
 
3.3%
6 27
 
2.7%
7 27
 
2.7%
5 27
 
2.7%
Other values (6) 97
 
9.6%
Hangul
ValueCountFrequency (%)
부 177
 
11.6%
산 162
 
10.6%
동 109
 
7.1%
시 84
 
5.5%
로 82
 
5.4%
광 82
 
5.4%
진 82
 
5.4%
구 81
 
5.3%
역 81
 
5.3%
대 37
 
2.4%
Other values (111) 553
36.1%

소재지전화
Text

MISSING 

Distinct31
Distinct (%)100.0%
Missing50
Missing (%)61.7%
Memory size780.0 B
2023-12-12T08:48:55.512284image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length11.935484
Min length9

Characters and Unicode

Total characters370
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

Unique31 ?
Unique (%)100.0%

Sample

1st row051-804-0600
2nd row051-867-3400
3rd row051-898-4789
4th row051-583-1500
5th row051-852-5948
ValueCountFrequency (%)
051-804-0600 1
 
3.2%
051-891-8575 1
 
3.2%
051-894-7559 1
 
3.2%
070-7537-2313 1
 
3.2%
051-895-0910 1
 
3.2%
518027702 1
 
3.2%
051-806-5000 1
 
3.2%
051-913-9150 1
 
3.2%
051-818-4568 1
 
3.2%
051-831-1291 1
 
3.2%
Other values (21) 21
67.7%
2023-12-12T08:48:55.852125image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 60
16.2%
0 59
15.9%
5 56
15.1%
1 54
14.6%
8 42
11.4%
7 25
6.8%
9 23
 
6.2%
3 16
 
4.3%
2 16
 
4.3%
6 11
 
3.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 310
83.8%
Dash Punctuation 60
 
16.2%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 59
19.0%
5 56
18.1%
1 54
17.4%
8 42
13.5%
7 25
8.1%
9 23
 
7.4%
3 16
 
5.2%
2 16
 
5.2%
6 11
 
3.5%
4 8
 
2.6%
Dash Punctuation
ValueCountFrequency (%)
- 60
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 370
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 60
16.2%
0 59
15.9%
5 56
15.1%
1 54
14.6%
8 42
11.4%
7 25
6.8%
9 23
 
6.2%
3 16
 
4.3%
2 16
 
4.3%
6 11
 
3.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 370
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 60
16.2%
0 59
15.9%
5 56
15.1%
1 54
14.6%
8 42
11.4%
7 25
6.8%
9 23
 
6.2%
3 16
 
4.3%
2 16
 
4.3%
6 11
 
3.0%

Interactions

2023-12-12T08:48:53.093665image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T08:48:55.939105image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번영업장명칭소재지주소(도로명)소재지전화
연번1.0001.0001.0001.000
영업장명칭1.0001.0001.0001.000
소재지주소(도로명)1.0001.0001.0001.000
소재지전화1.0001.0001.0001.000

Missing values

2023-12-12T08:48:53.427355image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T08:48:53.503912image/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

연번영업장명칭소재지주소(도로명)소재지전화
01부산애견부산광역시 부산진구 중앙대로 867 (양정동)051-804-0600
12멍냥이그루밍아카데미부산광역시 부산진구 가야대로482번길 53 (개금동)<NA>
23시원애견부산광역시 부산진구 거제대로 16-1 (양정동)<NA>
34도그도그부산광역시 부산진구 거제대로 20-1 (양정동)<NA>
45미스터독부산광역시 부산진구 전포대로 274 (전포동,대우디오빌투상가)051-867-3400
56깔롱강쥐 애견미용실부산광역시 부산진구 가야대로 568 (가야동)051-898-4789
67Dog Show부산광역시 부산진구 거제대로22번길 4 (양정동)051-583-1500
78좋은강아지부산광역시 부산진구 거제대로 16 (양정동)<NA>
89제제펫부산광역시 부산진구 거제대로 14-13 (양정동)<NA>
910복실이네 애견부산광역시 부산진구 가야대로 469 (개금동)<NA>
연번영업장명칭소재지주소(도로명)소재지전화
7172VERYS(베리스)부산광역시 부산진구 성지로46번길 3, 1층 (연지동)<NA>
7273예쁜강아지부산광역시 부산진구 당감로25번길 14, 1층 (당감동)<NA>
7374엠에스그루밍부산광역시 부산진구 냉정로 264, 1층 (가야동)<NA>
7475뽀Dog부산광역시 부산진구 동평로150번길 14, 502동 209호 (부암동, 서면동일파크스위트1차)070-7537-2313
7576가야종합동물병원부산광역시 부산진구 가야대로 491 (개금동)051-894-7559
7677제니스펫부산광역시 부산진구 거제대로 20, 1층 (양정동)<NA>
7778착한 고양이부산광역시 부산진구 중앙대로 863-1 (양정동)051-863-2779
7879온레스트그루밍부산광역시 부산진구 동성로 152, 24시 온동물의료센터 내 1층 (전포동)<NA>
7980부산강아지'24시'애견미용 호텔 유치원 도그드림(서면점)부산광역시 부산진구 중앙대로691번길 14, 2, 3층 (부전동)<NA>
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