Overview

Dataset statistics

Number of variables4
Number of observations67
Missing cells8
Missing cells (%)3.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory2.3 KiB
Average record size in memory35.0 B

Variable types

Numeric1
Text3

Dataset

Description부산광역시남구안경업소현황_20210205
Author부산광역시 남구
URLhttp://data.busan.go.kr/dataSet/detail.nm?contentId=10&publicdatapk=3034640

Alerts

사업장전화번호 has 8 (11.9%) missing valuesMissing
순번 has unique valuesUnique

Reproduction

Analysis started2023-12-10 16:20:12.565966
Analysis finished2023-12-10 16:20:13.305195
Duration0.74 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

순번
Real number (ℝ)

UNIQUE 

Distinct67
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean34
Minimum1
Maximum67
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size735.0 B
2023-12-11T01:20:13.393433image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile4.3
Q117.5
median34
Q350.5
95-th percentile63.7
Maximum67
Range66
Interquartile range (IQR)33

Descriptive statistics

Standard deviation19.485037
Coefficient of variation (CV)0.57308932
Kurtosis-1.2
Mean34
Median Absolute Deviation (MAD)17
Skewness0
Sum2278
Variance379.66667
MonotonicityStrictly increasing
2023-12-11T01:20:13.605621image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
1.5%
44 1
 
1.5%
50 1
 
1.5%
49 1
 
1.5%
48 1
 
1.5%
47 1
 
1.5%
46 1
 
1.5%
45 1
 
1.5%
43 1
 
1.5%
2 1
 
1.5%
Other values (57) 57
85.1%
ValueCountFrequency (%)
1 1
1.5%
2 1
1.5%
3 1
1.5%
4 1
1.5%
5 1
1.5%
6 1
1.5%
7 1
1.5%
8 1
1.5%
9 1
1.5%
10 1
1.5%
ValueCountFrequency (%)
67 1
1.5%
66 1
1.5%
65 1
1.5%
64 1
1.5%
63 1
1.5%
62 1
1.5%
61 1
1.5%
60 1
1.5%
59 1
1.5%
58 1
1.5%

안경업소명칭
Text

Distinct63
Distinct (%)94.0%
Missing0
Missing (%)0.0%
Memory size668.0 B
2023-12-11T01:20:13.869274image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length19
Median length13
Mean length7.3880597
Min length3

Characters and Unicode

Total characters495
Distinct characters118
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

Unique61 ?
Unique (%)91.0%

Sample

1st row세컨페이스안경 대연점. 렌즈아이
2nd row아이젠트리 대연점
3rd row마이스터 안경 비젼케어
4th row눈사랑안경
5th row눈사랑안경
ValueCountFrequency (%)
안경원 14
 
13.5%
안경 7
 
6.7%
눈사랑안경 4
 
3.8%
경성대점 4
 
3.8%
안경나라 3
 
2.9%
대연점 2
 
1.9%
아이리더(구.안경나라 1
 
1.0%
동명 1
 
1.0%
제이앤제이 1
 
1.0%
문현점 1
 
1.0%
Other values (66) 66
63.5%
2023-12-11T01:20:14.321550image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
경 67
 
13.5%
안 60
 
12.1%
37
 
7.5%
원 25
 
5.1%
이 19
 
3.8%
아 14
 
2.8%
점 14
 
2.8%
대 14
 
2.8%
스 9
 
1.8%
성 8
 
1.6%
Other values (108) 228
46.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 434
87.7%
Space Separator 37
 
7.5%
Uppercase Letter 7
 
1.4%
Close Punctuation 5
 
1.0%
Other Punctuation 5
 
1.0%
Open Punctuation 5
 
1.0%
Decimal Number 2
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
경 67
 
15.4%
안 60
 
13.8%
원 25
 
5.8%
이 19
 
4.4%
아 14
 
3.2%
점 14
 
3.2%
대 14
 
3.2%
스 9
 
2.1%
성 8
 
1.8%
리 8
 
1.8%
Other values (95) 196
45.2%
Uppercase Letter
ValueCountFrequency (%)
T 1
14.3%
P 1
14.3%
O 1
14.3%
U 1
14.3%
S 1
14.3%
G 1
14.3%
L 1
14.3%
Decimal Number
ValueCountFrequency (%)
0 1
50.0%
5 1
50.0%
Space Separator
ValueCountFrequency (%)
37
100.0%
Close Punctuation
ValueCountFrequency (%)
) 5
100.0%
Other Punctuation
ValueCountFrequency (%)
. 5
100.0%
Open Punctuation
ValueCountFrequency (%)
( 5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 434
87.7%
Common 54
 
10.9%
Latin 7
 
1.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
경 67
 
15.4%
안 60
 
13.8%
원 25
 
5.8%
이 19
 
4.4%
아 14
 
3.2%
점 14
 
3.2%
대 14
 
3.2%
스 9
 
2.1%
성 8
 
1.8%
리 8
 
1.8%
Other values (95) 196
45.2%
Latin
ValueCountFrequency (%)
T 1
14.3%
P 1
14.3%
O 1
14.3%
U 1
14.3%
S 1
14.3%
G 1
14.3%
L 1
14.3%
Common
ValueCountFrequency (%)
37
68.5%
) 5
 
9.3%
. 5
 
9.3%
( 5
 
9.3%
0 1
 
1.9%
5 1
 
1.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 434
87.7%
ASCII 61
 
12.3%

Most frequent character per block

Hangul
ValueCountFrequency (%)
경 67
 
15.4%
안 60
 
13.8%
원 25
 
5.8%
이 19
 
4.4%
아 14
 
3.2%
점 14
 
3.2%
대 14
 
3.2%
스 9
 
2.1%
성 8
 
1.8%
리 8
 
1.8%
Other values (95) 196
45.2%
ASCII
ValueCountFrequency (%)
37
60.7%
) 5
 
8.2%
. 5
 
8.2%
( 5
 
8.2%
T 1
 
1.6%
P 1
 
1.6%
O 1
 
1.6%
U 1
 
1.6%
S 1
 
1.6%
0 1
 
1.6%
Other values (3) 3
 
4.9%

사업장소재지(도로명)
Text

Distinct66
Distinct (%)98.5%
Missing0
Missing (%)0.0%
Memory size668.0 B
2023-12-11T01:20:14.632314image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length48
Median length43
Mean length27.671642
Min length20

Characters and Unicode

Total characters1854
Distinct characters129
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

Unique65 ?
Unique (%)97.0%

Sample

1st row부산광역시 남구 수영로 246, 1층 (대연동)
2nd row부산광역시 남구 수영로 261, SK뷰힐스 상가 101호 (대연동)
3rd row부산광역시 남구 분포로 145, 2층 2062호 (용호동, 더블유)
4th row부산광역시 남구 홍곡로 360, 대연파크푸르지오 상가 401동 104호 (대연동)
5th row부산광역시 남구 분포로 145, 1121호 (용호동, 더블유)
ValueCountFrequency (%)
부산광역시 67
16.8%
남구 67
16.8%
대연동 33
 
8.3%
용호동 15
 
3.8%
수영로 14
 
3.5%
1층 11
 
2.8%
용소로 9
 
2.3%
용호로 8
 
2.0%
문현동 8
 
2.0%
용당동 5
 
1.3%
Other values (123) 161
40.5%
2023-12-11T01:20:15.525986image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
331
 
17.9%
동 77
 
4.2%
1 71
 
3.8%
부 70
 
3.8%
남 70
 
3.8%
산 70
 
3.8%
) 69
 
3.7%
시 69
 
3.7%
( 69
 
3.7%
광 67
 
3.6%
Other values (119) 891
48.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1072
57.8%
Space Separator 331
 
17.9%
Decimal Number 256
 
13.8%
Close Punctuation 69
 
3.7%
Open Punctuation 69
 
3.7%
Other Punctuation 40
 
2.2%
Dash Punctuation 10
 
0.5%
Uppercase Letter 7
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 77
 
7.2%
부 70
 
6.5%
남 70
 
6.5%
산 70
 
6.5%
시 69
 
6.4%
광 67
 
6.2%
역 67
 
6.2%
구 67
 
6.2%
로 67
 
6.2%
대 41
 
3.8%
Other values (100) 407
38.0%
Decimal Number
ValueCountFrequency (%)
1 71
27.7%
2 44
17.2%
0 22
 
8.6%
4 22
 
8.6%
6 20
 
7.8%
3 19
 
7.4%
5 19
 
7.4%
9 14
 
5.5%
7 13
 
5.1%
8 12
 
4.7%
Uppercase Letter
ValueCountFrequency (%)
S 3
42.9%
G 2
28.6%
K 1
 
14.3%
A 1
 
14.3%
Space Separator
ValueCountFrequency (%)
331
100.0%
Close Punctuation
ValueCountFrequency (%)
) 69
100.0%
Open Punctuation
ValueCountFrequency (%)
( 69
100.0%
Other Punctuation
ValueCountFrequency (%)
, 40
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 10
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1072
57.8%
Common 775
41.8%
Latin 7
 
0.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 77
 
7.2%
부 70
 
6.5%
남 70
 
6.5%
산 70
 
6.5%
시 69
 
6.4%
광 67
 
6.2%
역 67
 
6.2%
구 67
 
6.2%
로 67
 
6.2%
대 41
 
3.8%
Other values (100) 407
38.0%
Common
ValueCountFrequency (%)
331
42.7%
1 71
 
9.2%
) 69
 
8.9%
( 69
 
8.9%
2 44
 
5.7%
, 40
 
5.2%
0 22
 
2.8%
4 22
 
2.8%
6 20
 
2.6%
3 19
 
2.5%
Other values (5) 68
 
8.8%
Latin
ValueCountFrequency (%)
S 3
42.9%
G 2
28.6%
K 1
 
14.3%
A 1
 
14.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1072
57.8%
ASCII 782
42.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
331
42.3%
1 71
 
9.1%
) 69
 
8.8%
( 69
 
8.8%
2 44
 
5.6%
, 40
 
5.1%
0 22
 
2.8%
4 22
 
2.8%
6 20
 
2.6%
3 19
 
2.4%
Other values (9) 75
 
9.6%
Hangul
ValueCountFrequency (%)
동 77
 
7.2%
부 70
 
6.5%
남 70
 
6.5%
산 70
 
6.5%
시 69
 
6.4%
광 67
 
6.2%
역 67
 
6.2%
구 67
 
6.2%
로 67
 
6.2%
대 41
 
3.8%
Other values (100) 407
38.0%

사업장전화번호
Text

MISSING 

Distinct58
Distinct (%)98.3%
Missing8
Missing (%)11.9%
Memory size668.0 B
2023-12-11T01:20:15.791024image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length11.966102
Min length8

Characters and Unicode

Total characters706
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

Unique57 ?
Unique (%)96.6%

Sample

1st row051-717-2428
2nd row051-621-0992
3rd row051-626-3310
4th row051-625-6335
5th row051-623-7778
ValueCountFrequency (%)
051-623-7778 2
 
3.4%
051-621-9768 1
 
1.7%
051-625-0082 1
 
1.7%
051-622-5932 1
 
1.7%
051-611-4455 1
 
1.7%
051-645-8826 1
 
1.7%
051-612-0990 1
 
1.7%
051-637-8255 1
 
1.7%
051-644-0808 1
 
1.7%
051-635-1535 1
 
1.7%
Other values (48) 48
81.4%
2023-12-11T01:20:16.231390image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 117
16.6%
0 107
15.2%
1 104
14.7%
5 79
11.2%
6 70
9.9%
2 60
8.5%
4 44
 
6.2%
7 37
 
5.2%
8 34
 
4.8%
3 27
 
3.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 589
83.4%
Dash Punctuation 117
 
16.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 107
18.2%
1 104
17.7%
5 79
13.4%
6 70
11.9%
2 60
10.2%
4 44
7.5%
7 37
 
6.3%
8 34
 
5.8%
3 27
 
4.6%
9 27
 
4.6%
Dash Punctuation
ValueCountFrequency (%)
- 117
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 706
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 117
16.6%
0 107
15.2%
1 104
14.7%
5 79
11.2%
6 70
9.9%
2 60
8.5%
4 44
 
6.2%
7 37
 
5.2%
8 34
 
4.8%
3 27
 
3.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 706
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 117
16.6%
0 107
15.2%
1 104
14.7%
5 79
11.2%
6 70
9.9%
2 60
8.5%
4 44
 
6.2%
7 37
 
5.2%
8 34
 
4.8%
3 27
 
3.8%

Interactions

2023-12-11T01:20:13.028963image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-11T01:20:16.361397image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순번안경업소명칭사업장소재지(도로명)사업장전화번호
순번1.0000.8700.9310.938
안경업소명칭0.8701.0000.9930.992
사업장소재지(도로명)0.9310.9931.0000.997
사업장전화번호0.9380.9920.9971.000

Missing values

2023-12-11T01:20:13.168666image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-11T01:20:13.262856image/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

순번안경업소명칭사업장소재지(도로명)사업장전화번호
01세컨페이스안경 대연점. 렌즈아이부산광역시 남구 수영로 246, 1층 (대연동)051-717-2428
12아이젠트리 대연점부산광역시 남구 수영로 261, SK뷰힐스 상가 101호 (대연동)<NA>
23마이스터 안경 비젼케어부산광역시 남구 분포로 145, 2층 2062호 (용호동, 더블유)051-621-0992
34눈사랑안경부산광역시 남구 홍곡로 360, 대연파크푸르지오 상가 401동 104호 (대연동)<NA>
45눈사랑안경부산광역시 남구 분포로 145, 1121호 (용호동, 더블유)<NA>
56안경나라부산광역시 남구 진남로 11 (대연동)051-626-3310
67밝은 세상 안경원부산광역시 남구 문현금융로 40, 부산국제금융센터 1층 A107호 (문현동)<NA>
78아이디어 경성대점부산광역시 남구 수영로 299, 1층 (대연동)051-625-6335
89눈사랑안경 자이점부산광역시 남구 신선로 566, 401-108호 (용호동, GS하이츠자이 상가)051-623-7778
910퍼스트 에비뉴부산광역시 남구 용호로 125, 1층 (용호동)051-622-7069
순번안경업소명칭사업장소재지(도로명)사업장전화번호
5758연세 안경원부산광역시 남구 장고개로 6 (우암동)051-647-9009
5859한독 안경원부산광역시 남구 수영로196번길 6 (대연동)051-644-1010
5960노벨 안경원부산광역시 남구 유엔평화로 152-2 (용당동, 한신상가 106-1)051-626-8263
6061안경나라.렌즈아이부산광역시 남구 수영로 33 (문현동)051-631-9009
6162동명OPT구내안경부산광역시 남구 신선로 428, 동명정보대학교 산학협력관동 지하1층 106호 (용당동)051-623-0540
6263반도 안경원부산광역시 남구 진남로 120-4 (대연동)051-634-7467
6364대안당 안경원부산광역시 남구 전포대로67번길 8 (문현동)051-644-0929
6465아이프렌즈 안경원(구. 파리안경원)부산광역시 남구 수영로 198-1 (대연동)051-625-0082
6566챠밍아이 안경원(구.명성안경원)부산광역시 남구 고동골로 74 (문현동)051-632-0100
6667씨 채널 안경원부산광역시 남구 못골번영로 3 (대연동)051-628-4747