Overview

Dataset statistics

Number of variables4
Number of observations28
Missing cells1
Missing cells (%)0.9%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.0 KiB
Average record size in memory37.7 B

Variable types

Numeric1
Text3

Dataset

Description2023.07.17. 기준 부산광역시 기장군 관내 안경업소 현황에 대한 데이터(명칭, 소재지, 전화번호) 등의 항목을 제공합니다.
URLhttps://www.data.go.kr/data/3072034/fileData.do

Alerts

사업장전화번호 has 1 (3.6%) missing valuesMissing
순번 has unique valuesUnique
안경업소명칭 has unique valuesUnique
사업장소재지(도로명) has unique valuesUnique

Reproduction

Analysis started2023-12-12 11:13:58.158257
Analysis finished2023-12-12 11:13:58.856887
Duration0.7 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

순번
Real number (ℝ)

UNIQUE 

Distinct28
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean14.5
Minimum1
Maximum28
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size384.0 B
2023-12-12T20:13:58.965936image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2.35
Q17.75
median14.5
Q321.25
95-th percentile26.65
Maximum28
Range27
Interquartile range (IQR)13.5

Descriptive statistics

Standard deviation8.2259751
Coefficient of variation (CV)0.56730863
Kurtosis-1.2
Mean14.5
Median Absolute Deviation (MAD)7
Skewness0
Sum406
Variance67.666667
MonotonicityStrictly increasing
2023-12-12T20:13:59.199984image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=28)
ValueCountFrequency (%)
1 1
 
3.6%
16 1
 
3.6%
28 1
 
3.6%
27 1
 
3.6%
26 1
 
3.6%
25 1
 
3.6%
24 1
 
3.6%
23 1
 
3.6%
22 1
 
3.6%
21 1
 
3.6%
Other values (18) 18
64.3%
ValueCountFrequency (%)
1 1
3.6%
2 1
3.6%
3 1
3.6%
4 1
3.6%
5 1
3.6%
6 1
3.6%
7 1
3.6%
8 1
3.6%
9 1
3.6%
10 1
3.6%
ValueCountFrequency (%)
28 1
3.6%
27 1
3.6%
26 1
3.6%
25 1
3.6%
24 1
3.6%
23 1
3.6%
22 1
3.6%
21 1
3.6%
20 1
3.6%
19 1
3.6%

안경업소명칭
Text

UNIQUE 

Distinct28
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size356.0 B
2023-12-12T20:13:59.535463image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length19
Median length12
Mean length9.8571429
Min length4

Characters and Unicode

Total characters276
Distinct characters99
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

Unique28 ?
Unique (%)100.0%

Sample

1st row데일리안경원 위드렌즈
2nd row눈사랑 위드렌즈
3rd row이노티안경 정관점
4th row오늘 안경원(see channel)
5th row룩옵티컬 롯데프리미엄아울렛 동부산점
ValueCountFrequency (%)
위드렌즈 3
 
6.2%
안경원 3
 
6.2%
기장점 2
 
4.2%
데일리안경원 1
 
2.1%
렌즈타운(기장정관점 1
 
2.1%
아이에비뉴롯데몰동부산점 1
 
2.1%
안경만들기 1
 
2.1%
우리동네 1
 
2.1%
파프리카안경점 1
 
2.1%
캐스빌안경원(seechannel 1
 
2.1%
Other values (33) 33
68.8%
2023-12-12T20:14:00.156605image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
안 24
 
8.7%
경 24
 
8.7%
20
 
7.2%
원 12
 
4.3%
점 9
 
3.3%
리 7
 
2.5%
즈 6
 
2.2%
이 6
 
2.2%
e 6
 
2.2%
장 6
 
2.2%
Other values (89) 156
56.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 217
78.6%
Space Separator 20
 
7.2%
Lowercase Letter 20
 
7.2%
Decimal Number 9
 
3.3%
Close Punctuation 3
 
1.1%
Open Punctuation 3
 
1.1%
Uppercase Letter 3
 
1.1%
Other Punctuation 1
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
안 24
 
11.1%
경 24
 
11.1%
원 12
 
5.5%
점 9
 
4.1%
리 7
 
3.2%
즈 6
 
2.8%
이 6
 
2.8%
장 6
 
2.8%
기 6
 
2.8%
렌 6
 
2.8%
Other values (72) 111
51.2%
Lowercase Letter
ValueCountFrequency (%)
e 6
30.0%
n 4
20.0%
l 2
 
10.0%
s 2
 
10.0%
c 2
 
10.0%
h 2
 
10.0%
a 2
 
10.0%
Decimal Number
ValueCountFrequency (%)
0 5
55.6%
1 3
33.3%
5 1
 
11.1%
Uppercase Letter
ValueCountFrequency (%)
B 1
33.3%
O 1
33.3%
M 1
33.3%
Space Separator
ValueCountFrequency (%)
20
100.0%
Close Punctuation
ValueCountFrequency (%)
) 3
100.0%
Open Punctuation
ValueCountFrequency (%)
( 3
100.0%
Other Punctuation
ValueCountFrequency (%)
& 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 217
78.6%
Common 36
 
13.0%
Latin 23
 
8.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
안 24
 
11.1%
경 24
 
11.1%
원 12
 
5.5%
점 9
 
4.1%
리 7
 
3.2%
즈 6
 
2.8%
이 6
 
2.8%
장 6
 
2.8%
기 6
 
2.8%
렌 6
 
2.8%
Other values (72) 111
51.2%
Latin
ValueCountFrequency (%)
e 6
26.1%
n 4
17.4%
l 2
 
8.7%
s 2
 
8.7%
c 2
 
8.7%
h 2
 
8.7%
a 2
 
8.7%
B 1
 
4.3%
O 1
 
4.3%
M 1
 
4.3%
Common
ValueCountFrequency (%)
20
55.6%
0 5
 
13.9%
) 3
 
8.3%
( 3
 
8.3%
1 3
 
8.3%
& 1
 
2.8%
5 1
 
2.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 217
78.6%
ASCII 59
 
21.4%

Most frequent character per block

Hangul
ValueCountFrequency (%)
안 24
 
11.1%
경 24
 
11.1%
원 12
 
5.5%
점 9
 
4.1%
리 7
 
3.2%
즈 6
 
2.8%
이 6
 
2.8%
장 6
 
2.8%
기 6
 
2.8%
렌 6
 
2.8%
Other values (72) 111
51.2%
ASCII
ValueCountFrequency (%)
20
33.9%
e 6
 
10.2%
0 5
 
8.5%
n 4
 
6.8%
) 3
 
5.1%
( 3
 
5.1%
1 3
 
5.1%
l 2
 
3.4%
s 2
 
3.4%
c 2
 
3.4%
Other values (7) 9
15.3%

사업장소재지(도로명)
Text

UNIQUE 

Distinct28
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size356.0 B
2023-12-12T20:14:00.779093image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length47
Median length37
Mean length28.892857
Min length20

Characters and Unicode

Total characters809
Distinct characters82
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique28 ?
Unique (%)100.0%

Sample

1st row부산광역시 기장군 장안읍 해맞이로 427, 굿모닝빌딩 1층
2nd row부산광역시 기장군 일광읍 해빛로 13, 일광제일프라자 1층 104호
3rd row부산광역시 기장군 정관읍 정관로 704
4th row부산광역시 기장군 일광읍 해빛로 13, 일광제일프라자 상가동 202호
5th row부산광역시 기장군 기장읍 기장해안로 147, 롯데몰 동부산점 1층
ValueCountFrequency (%)
부산광역시 28
 
15.9%
기장군 28
 
15.9%
기장읍 12
 
6.8%
1층 10
 
5.7%
정관면 8
 
4.5%
정관로 6
 
3.4%
일광읍 4
 
2.3%
정관읍 3
 
1.7%
기장해안로 3
 
1.7%
차성동로 3
 
1.7%
Other values (65) 71
40.3%
2023-12-12T20:14:02.231832image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
148
18.3%
장 45
 
5.6%
기 44
 
5.4%
1 37
 
4.6%
광 34
 
4.2%
부 32
 
4.0%
산 31
 
3.8%
역 28
 
3.5%
시 28
 
3.5%
군 28
 
3.5%
Other values (72) 354
43.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 504
62.3%
Space Separator 148
 
18.3%
Decimal Number 123
 
15.2%
Other Punctuation 14
 
1.7%
Close Punctuation 8
 
1.0%
Open Punctuation 8
 
1.0%
Uppercase Letter 2
 
0.2%
Lowercase Letter 1
 
0.1%
Dash Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
장 45
 
8.9%
기 44
 
8.7%
광 34
 
6.7%
부 32
 
6.3%
산 31
 
6.2%
역 28
 
5.6%
시 28
 
5.6%
군 28
 
5.6%
로 27
 
5.4%
읍 22
 
4.4%
Other values (54) 185
36.7%
Decimal Number
ValueCountFrequency (%)
1 37
30.1%
0 18
14.6%
3 17
13.8%
4 11
 
8.9%
2 9
 
7.3%
7 9
 
7.3%
5 9
 
7.3%
6 8
 
6.5%
8 4
 
3.3%
9 1
 
0.8%
Uppercase Letter
ValueCountFrequency (%)
S 1
50.0%
D 1
50.0%
Space Separator
ValueCountFrequency (%)
148
100.0%
Other Punctuation
ValueCountFrequency (%)
, 14
100.0%
Close Punctuation
ValueCountFrequency (%)
) 8
100.0%
Open Punctuation
ValueCountFrequency (%)
( 8
100.0%
Lowercase Letter
ValueCountFrequency (%)
b 1
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 504
62.3%
Common 302
37.3%
Latin 3
 
0.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
장 45
 
8.9%
기 44
 
8.7%
광 34
 
6.7%
부 32
 
6.3%
산 31
 
6.2%
역 28
 
5.6%
시 28
 
5.6%
군 28
 
5.6%
로 27
 
5.4%
읍 22
 
4.4%
Other values (54) 185
36.7%
Common
ValueCountFrequency (%)
148
49.0%
1 37
 
12.3%
0 18
 
6.0%
3 17
 
5.6%
, 14
 
4.6%
4 11
 
3.6%
2 9
 
3.0%
7 9
 
3.0%
5 9
 
3.0%
6 8
 
2.6%
Other values (5) 22
 
7.3%
Latin
ValueCountFrequency (%)
b 1
33.3%
S 1
33.3%
D 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 504
62.3%
ASCII 305
37.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
148
48.5%
1 37
 
12.1%
0 18
 
5.9%
3 17
 
5.6%
, 14
 
4.6%
4 11
 
3.6%
2 9
 
3.0%
7 9
 
3.0%
5 9
 
3.0%
6 8
 
2.6%
Other values (8) 25
 
8.2%
Hangul
ValueCountFrequency (%)
장 45
 
8.9%
기 44
 
8.7%
광 34
 
6.7%
부 32
 
6.3%
산 31
 
6.2%
역 28
 
5.6%
시 28
 
5.6%
군 28
 
5.6%
로 27
 
5.4%
읍 22
 
4.4%
Other values (54) 185
36.7%

사업장전화번호
Text

MISSING 

Distinct27
Distinct (%)100.0%
Missing1
Missing (%)3.6%
Memory size356.0 B
2023-12-12T20:14:02.715626image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length12.037037
Min length12

Characters and Unicode

Total characters325
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

Unique27 ?
Unique (%)100.0%

Sample

1st row051-911-4806
2nd row051-728-5008
3rd row051-722-7212
4th row051-901-2840
5th row051-722-2233
ValueCountFrequency (%)
051-911-4806 1
 
3.7%
051-727-6819 1
 
3.7%
051-721-1033 1
 
3.7%
051-518-1001 1
 
3.7%
051-727-1088 1
 
3.7%
051-727-5972 1
 
3.7%
051-545-1518 1
 
3.7%
051-724-7504 1
 
3.7%
051-723-5353 1
 
3.7%
051-727-8848 1
 
3.7%
Other values (17) 17
63.0%
2023-12-12T20:14:03.322270image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 54
16.6%
0 49
15.1%
1 46
14.2%
5 39
12.0%
7 39
12.0%
2 38
11.7%
8 21
 
6.5%
9 13
 
4.0%
3 11
 
3.4%
4 8
 
2.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 271
83.4%
Dash Punctuation 54
 
16.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 49
18.1%
1 46
17.0%
5 39
14.4%
7 39
14.4%
2 38
14.0%
8 21
7.7%
9 13
 
4.8%
3 11
 
4.1%
4 8
 
3.0%
6 7
 
2.6%
Dash Punctuation
ValueCountFrequency (%)
- 54
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 325
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 54
16.6%
0 49
15.1%
1 46
14.2%
5 39
12.0%
7 39
12.0%
2 38
11.7%
8 21
 
6.5%
9 13
 
4.0%
3 11
 
3.4%
4 8
 
2.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 325
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 54
16.6%
0 49
15.1%
1 46
14.2%
5 39
12.0%
7 39
12.0%
2 38
11.7%
8 21
 
6.5%
9 13
 
4.0%
3 11
 
3.4%
4 8
 
2.5%

Interactions

2023-12-12T20:13:58.488624image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T20:14:03.479702image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순번안경업소명칭사업장소재지(도로명)사업장전화번호
순번1.0001.0001.0001.000
안경업소명칭1.0001.0001.0001.000
사업장소재지(도로명)1.0001.0001.0001.000
사업장전화번호1.0001.0001.0001.000

Missing values

2023-12-12T20:13:58.658266image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T20:13:58.791479image/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
01데일리안경원 위드렌즈부산광역시 기장군 장안읍 해맞이로 427, 굿모닝빌딩 1층<NA>
12눈사랑 위드렌즈부산광역시 기장군 일광읍 해빛로 13, 일광제일프라자 1층 104호051-911-4806
23이노티안경 정관점부산광역시 기장군 정관읍 정관로 704051-728-5008
34오늘 안경원(see channel)부산광역시 기장군 일광읍 해빛로 13, 일광제일프라자 상가동 202호051-722-7212
45룩옵티컬 롯데프리미엄아울렛 동부산점부산광역시 기장군 기장읍 기장해안로 147, 롯데몰 동부산점 1층051-901-2840
56바라본안경부산광역시 기장군 일광읍 해빛6로 107-3, 1층 105,106호051-722-2233
67으뜸플러스안경 부산정관점부산광역시 기장군 정관읍 정관로 561, 3층 303호070-7585-0909
78기장성모안경부산광역시 기장군 기장읍 차성로 430, 1층 110호051-722-3180
89으뜸50안경콘택트 기장점부산광역시 기장군 기장읍 차성동로 64, 2층051-721-5051
910다비치안경 기장시장점부산광역시 기장군 기장읍 차성동로 104051-724-6900
순번안경업소명칭사업장소재지(도로명)사업장전화번호
1819캐스빌안경원(seechannel)부산광역시 기장군 기장읍 대청로 16051-723-6277
1920아이리더안경 렌즈타운(기장정관점)부산광역시 기장군 정관면 정관로 581051-727-8848
2021아이크로바안경원 위드렌즈부산광역시 기장군 기장읍 차성남로51번길 30051-723-5353
2122아이리더 안경원부산광역시 기장군 기장읍 차성동로 172, 6호 (카프리하우스)051-724-7504
2223갤러리안경부산광역시 기장군 기장읍 차성로 424, 1층051-545-1518
2324렌즈맨안경원부산광역시 기장군 정관면 정관5로 50051-727-5972
2425눈사랑안경부산광역시 기장군 정관면 정관7로 3051-727-1088
25261001안경원부산광역시 기장군 정관면 용수로 78051-518-1001
2627세컨페이스안경원부산광역시 기장군 기장읍 읍내로 111051-721-1033
2728오렌즈 부산 기장점 & 서전안경원부산광역시 기장군 기장읍 읍내로 105051-722-2619