Overview

Dataset statistics

Number of variables4
Number of observations39
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.4 KiB
Average record size in memory36.4 B

Variable types

Numeric1
Text2
DateTime1

Dataset

Description부산광역시 강서구 관할내 동물미용업 현황에 관한 자료로 다음과 같은 자료를 포함하고 있습니다. 포함자료(연번, 사업자명칭, 소재지주소(도로명), 데이터기준일자)
URLhttps://www.data.go.kr/data/15085639/fileData.do

Alerts

데이터기준일자 has constant value ""Constant
연번 has unique valuesUnique
사업장명칭 has unique valuesUnique
소재지주소(도로명) has unique valuesUnique

Reproduction

Analysis started2023-12-12 14:18:20.131159
Analysis finished2023-12-12 14:18:20.497163
Duration0.37 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

UNIQUE 

Distinct39
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20
Minimum1
Maximum39
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size483.0 B
2023-12-12T23:18:20.560518image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2.9
Q110.5
median20
Q329.5
95-th percentile37.1
Maximum39
Range38
Interquartile range (IQR)19

Descriptive statistics

Standard deviation11.401754
Coefficient of variation (CV)0.57008771
Kurtosis-1.2
Mean20
Median Absolute Deviation (MAD)10
Skewness0
Sum780
Variance130
MonotonicityStrictly increasing
2023-12-12T23:18:20.687462image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=39)
ValueCountFrequency (%)
1 1
 
2.6%
2 1
 
2.6%
23 1
 
2.6%
24 1
 
2.6%
25 1
 
2.6%
26 1
 
2.6%
27 1
 
2.6%
28 1
 
2.6%
29 1
 
2.6%
30 1
 
2.6%
Other values (29) 29
74.4%
ValueCountFrequency (%)
1 1
2.6%
2 1
2.6%
3 1
2.6%
4 1
2.6%
5 1
2.6%
6 1
2.6%
7 1
2.6%
8 1
2.6%
9 1
2.6%
10 1
2.6%
ValueCountFrequency (%)
39 1
2.6%
38 1
2.6%
37 1
2.6%
36 1
2.6%
35 1
2.6%
34 1
2.6%
33 1
2.6%
32 1
2.6%
31 1
2.6%
30 1
2.6%

사업장명칭
Text

UNIQUE 

Distinct39
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size444.0 B
2023-12-12T23:18:20.905434image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length17
Median length12
Mean length6
Min length2

Characters and Unicode

Total characters234
Distinct characters116
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

Unique39 ?
Unique (%)100.0%

Sample

1st row쥬쥬펫살롱
2nd row해옴동물병원
3rd row홍's살롱
4th row이로운동물병원
5th row오션시티동물병원
ValueCountFrequency (%)
2
 
3.8%
쥬쥬펫살롱 1
 
1.9%
반자주 1
 
1.9%
해피퍼피 1
 
1.9%
멍하니반하다 1
 
1.9%
아띠 1
 
1.9%
포블포블 1
 
1.9%
허니댕댕 1
 
1.9%
딩동 1
 
1.9%
살롱 1
 
1.9%
Other values (41) 41
78.8%
2023-12-12T23:18:21.268952image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
13
 
5.6%
8
 
3.4%
7
 
3.0%
6
 
2.6%
6
 
2.6%
6
 
2.6%
5
 
2.1%
5
 
2.1%
5
 
2.1%
5
 
2.1%
Other values (106) 168
71.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 203
86.8%
Space Separator 13
 
5.6%
Lowercase Letter 13
 
5.6%
Decimal Number 2
 
0.9%
Uppercase Letter 1
 
0.4%
Other Punctuation 1
 
0.4%
Dash Punctuation 1
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
8
 
3.9%
7
 
3.4%
6
 
3.0%
6
 
3.0%
6
 
3.0%
5
 
2.5%
5
 
2.5%
5
 
2.5%
5
 
2.5%
5
 
2.5%
Other values (92) 145
71.4%
Lowercase Letter
ValueCountFrequency (%)
a 3
23.1%
s 2
15.4%
o 2
15.4%
n 2
15.4%
b 1
 
7.7%
d 1
 
7.7%
g 1
 
7.7%
l 1
 
7.7%
Decimal Number
ValueCountFrequency (%)
4 1
50.0%
2 1
50.0%
Space Separator
ValueCountFrequency (%)
13
100.0%
Uppercase Letter
ValueCountFrequency (%)
N 1
100.0%
Other Punctuation
ValueCountFrequency (%)
' 1
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 203
86.8%
Common 17
 
7.3%
Latin 14
 
6.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
8
 
3.9%
7
 
3.4%
6
 
3.0%
6
 
3.0%
6
 
3.0%
5
 
2.5%
5
 
2.5%
5
 
2.5%
5
 
2.5%
5
 
2.5%
Other values (92) 145
71.4%
Latin
ValueCountFrequency (%)
a 3
21.4%
s 2
14.3%
o 2
14.3%
n 2
14.3%
N 1
 
7.1%
b 1
 
7.1%
d 1
 
7.1%
g 1
 
7.1%
l 1
 
7.1%
Common
ValueCountFrequency (%)
13
76.5%
4 1
 
5.9%
2 1
 
5.9%
' 1
 
5.9%
- 1
 
5.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 203
86.8%
ASCII 31
 
13.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
13
41.9%
a 3
 
9.7%
s 2
 
6.5%
o 2
 
6.5%
n 2
 
6.5%
N 1
 
3.2%
b 1
 
3.2%
d 1
 
3.2%
g 1
 
3.2%
4 1
 
3.2%
Other values (4) 4
 
12.9%
Hangul
ValueCountFrequency (%)
8
 
3.9%
7
 
3.4%
6
 
3.0%
6
 
3.0%
6
 
3.0%
5
 
2.5%
5
 
2.5%
5
 
2.5%
5
 
2.5%
5
 
2.5%
Other values (92) 145
71.4%
Distinct39
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size444.0 B
2023-12-12T23:18:21.550176image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length54
Median length39
Mean length36.974359
Min length29

Characters and Unicode

Total characters1442
Distinct characters95
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

Unique39 ?
Unique (%)100.0%

Sample

1st row부산광역시 강서구 신호산단4로64번가길 41 (신호동)
2nd row부산광역시 강서구 명지오션시티4로 69, 201호 (명지동)
3rd row부산광역시 강서구 명지오션시티4로 73, 302호 (명지동)
4th row부산광역시 강서구 명지국제11로 35, 101호 (명지동)
5th row부산광역시 강서구 명지오션시티11로 66, 203호 (명지동)
ValueCountFrequency (%)
부산광역시 39
 
14.8%
강서구 39
 
14.8%
명지동 30
 
11.4%
1층 8
 
3.0%
신호동 5
 
1.9%
명지국제6로 5
 
1.9%
명지국제8로 5
 
1.9%
101호 4
 
1.5%
명지국제2로28번길 4
 
1.5%
명지오션시티4로 4
 
1.5%
Other values (106) 121
45.8%
2023-12-12T23:18:22.039184image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
225
 
15.6%
1 74
 
5.1%
71
 
4.9%
68
 
4.7%
2 52
 
3.6%
47
 
3.3%
45
 
3.1%
45
 
3.1%
, 41
 
2.8%
40
 
2.8%
Other values (85) 734
50.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 821
56.9%
Decimal Number 269
 
18.7%
Space Separator 225
 
15.6%
Other Punctuation 41
 
2.8%
Close Punctuation 39
 
2.7%
Open Punctuation 39
 
2.7%
Dash Punctuation 6
 
0.4%
Uppercase Letter 2
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
71
 
8.6%
68
 
8.3%
47
 
5.7%
45
 
5.5%
45
 
5.5%
40
 
4.9%
40
 
4.9%
39
 
4.8%
39
 
4.8%
39
 
4.8%
Other values (68) 348
42.4%
Decimal Number
ValueCountFrequency (%)
1 74
27.5%
2 52
19.3%
4 27
 
10.0%
3 26
 
9.7%
0 26
 
9.7%
6 21
 
7.8%
8 15
 
5.6%
5 11
 
4.1%
7 9
 
3.3%
9 8
 
3.0%
Uppercase Letter
ValueCountFrequency (%)
C 1
50.0%
B 1
50.0%
Space Separator
ValueCountFrequency (%)
225
100.0%
Other Punctuation
ValueCountFrequency (%)
, 41
100.0%
Close Punctuation
ValueCountFrequency (%)
) 39
100.0%
Open Punctuation
ValueCountFrequency (%)
( 39
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 6
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 821
56.9%
Common 619
42.9%
Latin 2
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
71
 
8.6%
68
 
8.3%
47
 
5.7%
45
 
5.5%
45
 
5.5%
40
 
4.9%
40
 
4.9%
39
 
4.8%
39
 
4.8%
39
 
4.8%
Other values (68) 348
42.4%
Common
ValueCountFrequency (%)
225
36.3%
1 74
 
12.0%
2 52
 
8.4%
, 41
 
6.6%
) 39
 
6.3%
( 39
 
6.3%
4 27
 
4.4%
3 26
 
4.2%
0 26
 
4.2%
6 21
 
3.4%
Other values (5) 49
 
7.9%
Latin
ValueCountFrequency (%)
C 1
50.0%
B 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 821
56.9%
ASCII 621
43.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
225
36.2%
1 74
 
11.9%
2 52
 
8.4%
, 41
 
6.6%
) 39
 
6.3%
( 39
 
6.3%
4 27
 
4.3%
3 26
 
4.2%
0 26
 
4.2%
6 21
 
3.4%
Other values (7) 51
 
8.2%
Hangul
ValueCountFrequency (%)
71
 
8.6%
68
 
8.3%
47
 
5.7%
45
 
5.5%
45
 
5.5%
40
 
4.9%
40
 
4.9%
39
 
4.8%
39
 
4.8%
39
 
4.8%
Other values (68) 348
42.4%

데이터기준일자
Date

CONSTANT 

Distinct1
Distinct (%)2.6%
Missing0
Missing (%)0.0%
Memory size444.0 B
Minimum2023-08-10 00:00:00
Maximum2023-08-10 00:00:00
2023-12-12T23:18:22.169111image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:18:22.267024image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Interactions

2023-12-12T23:18:20.291488image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T23:18:22.350529image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번사업장명칭소재지주소(도로명)
연번1.0001.0001.000
사업장명칭1.0001.0001.000
소재지주소(도로명)1.0001.0001.000

Missing values

2023-12-12T23:18:20.396489image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T23:18:20.463512image/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

연번사업장명칭소재지주소(도로명)데이터기준일자
01쥬쥬펫살롱부산광역시 강서구 신호산단4로64번가길 41 (신호동)2023-08-10
12해옴동물병원부산광역시 강서구 명지오션시티4로 69, 201호 (명지동)2023-08-10
23홍's살롱부산광역시 강서구 명지오션시티4로 73, 302호 (명지동)2023-08-10
34이로운동물병원부산광역시 강서구 명지국제11로 35, 101호 (명지동)2023-08-10
45오션시티동물병원부산광역시 강서구 명지오션시티11로 66, 203호 (명지동)2023-08-10
56국제동물병원부산광역시 강서구 명지국제8로 243, 205호 (명지동)2023-08-10
67네오 미용실부산광역시 강서구 명지국제6로 234, 1층 (명지동)2023-08-10
78달콤한 강아지부산광역시 강서구 명지오션시티10로 114, 114동 108호 (명지동, 명지오션시티삼정그린코아)2023-08-10
89도기누리부산광역시 강서구 명지국제6로 222, 서하빌딩 2층 201호 (명지동)2023-08-10
910도기살롱부산광역시 강서구 명지오션시티4로 96, 2층 201-1호 (명지동)2023-08-10
연번사업장명칭소재지주소(도로명)데이터기준일자
2930어스멍부산광역시 강서구 명지국제2로28번길 26, 퍼스트삼융 115호 (명지동)2023-08-10
3031마이유어펫살롱부산광역시 강서구 명지국제12로 61, 1층 (명지동)2023-08-10
3132라라펫살롱부산광역시 강서구 명지국제5로 165, 110호 (명지동, 스위트팰리스)2023-08-10
3233티티그루밍부산광역시 강서구 명지국제3로 97, C동 101호 (명지동, 삼정그린코아 더베스트)2023-08-10
3334보리쌀롱부산광역시 강서구 명지국제12로47번길 10(명지동)2023-08-10
3435올리스24 명지점부산광역시 강서구 명지국제12로 69-1, 1층 (명지동)2023-08-10
3536왔숑부산광역시 강서구 명지국제6로 107, B동 119호 (명지동)2023-08-10
3637명지애견미용호텔 댕즈니랜드 본점부산광역시 강서구 명지국제8로 284, 삼융프라자 5층 (명지동)2023-08-10
3738뽀글리부산광역시 강서구 명지국제2로28번길 23, 네오웨스턴스퀘어 2동 101호 (명지동)2023-08-10
3839펫-오션부산광역시 강서구 명지오션시티4로 62, 파빌리온 빌딩 201호 (명지동)2023-08-10