Overview

Dataset statistics

Number of variables4
Number of observations56
Missing cells6
Missing cells (%)2.7%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.9 KiB
Average record size in memory35.4 B

Variable types

Numeric1
Text3

Dataset

Description대전광역시 중구 관내에 위치한 안경업소 현황 자료입니다. 사업장명, 사업장소재지, 사업장 전화번호 등의 항목을 제공합니다.
URLhttps://www.data.go.kr/data/15035706/fileData.do

Alerts

사업장전화번호 has 6 (10.7%) missing valuesMissing
연번 has unique valuesUnique
사업장소재지(도로명) has unique valuesUnique

Reproduction

Analysis started2023-12-12 12:35:47.974628
Analysis finished2023-12-12 12:35:48.435934
Duration0.46 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

UNIQUE 

Distinct56
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean28.5
Minimum1
Maximum56
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size636.0 B
2023-12-12T21:35:48.531219image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile3.75
Q114.75
median28.5
Q342.25
95-th percentile53.25
Maximum56
Range55
Interquartile range (IQR)27.5

Descriptive statistics

Standard deviation16.309506
Coefficient of variation (CV)0.57226338
Kurtosis-1.2
Mean28.5
Median Absolute Deviation (MAD)14
Skewness0
Sum1596
Variance266
MonotonicityStrictly increasing
2023-12-12T21:35:48.721510image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
1.8%
30 1
 
1.8%
32 1
 
1.8%
33 1
 
1.8%
34 1
 
1.8%
35 1
 
1.8%
36 1
 
1.8%
37 1
 
1.8%
38 1
 
1.8%
39 1
 
1.8%
Other values (46) 46
82.1%
ValueCountFrequency (%)
1 1
1.8%
2 1
1.8%
3 1
1.8%
4 1
1.8%
5 1
1.8%
6 1
1.8%
7 1
1.8%
8 1
1.8%
9 1
1.8%
10 1
1.8%
ValueCountFrequency (%)
56 1
1.8%
55 1
1.8%
54 1
1.8%
53 1
1.8%
52 1
1.8%
51 1
1.8%
50 1
1.8%
49 1
1.8%
48 1
1.8%
47 1
1.8%

안경업소명칭
Text

Distinct54
Distinct (%)96.4%
Missing0
Missing (%)0.0%
Memory size580.0 B
2023-12-12T21:35:49.010112image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length24
Median length14
Mean length7.8571429
Min length4

Characters and Unicode

Total characters440
Distinct characters104
Distinct categories6 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique53 ?
Unique (%)94.6%

Sample

1st row조은안경
2nd row렌즈미(세이백화점)
3rd row아이라이크(EYE LIKE)
4th row룩스토리안경원
5th row으뜸플러스안경 은행점
ValueCountFrequency (%)
안경매니져 4
 
5.2%
눈이넷안경원 3
 
3.9%
안경원 3
 
3.9%
목동점 3
 
3.9%
부사점 2
 
2.6%
글라스빌안경콘택트 1
 
1.3%
아이큐안경콘택트 1
 
1.3%
안경매니아태평점 1
 
1.3%
안경닥터 1
 
1.3%
한사랑안경원 1
 
1.3%
Other values (57) 57
74.0%
2023-12-12T21:35:49.548124image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
안 53
 
12.0%
경 52
 
11.8%
원 26
 
5.9%
이 22
 
5.0%
21
 
4.8%
점 19
 
4.3%
아 12
 
2.7%
매 9
 
2.0%
니 9
 
2.0%
트 8
 
1.8%
Other values (94) 209
47.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 396
90.0%
Space Separator 21
 
4.8%
Uppercase Letter 15
 
3.4%
Open Punctuation 3
 
0.7%
Close Punctuation 3
 
0.7%
Lowercase Letter 2
 
0.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
안 53
 
13.4%
경 52
 
13.1%
원 26
 
6.6%
이 22
 
5.6%
점 19
 
4.8%
아 12
 
3.0%
매 9
 
2.3%
니 9
 
2.3%
트 8
 
2.0%
라 8
 
2.0%
Other values (80) 178
44.9%
Uppercase Letter
ValueCountFrequency (%)
E 6
40.0%
Y 2
 
13.3%
K 1
 
6.7%
I 1
 
6.7%
L 1
 
6.7%
R 1
 
6.7%
V 1
 
6.7%
A 1
 
6.7%
S 1
 
6.7%
Lowercase Letter
ValueCountFrequency (%)
y 1
50.0%
b 1
50.0%
Space Separator
ValueCountFrequency (%)
21
100.0%
Open Punctuation
ValueCountFrequency (%)
( 3
100.0%
Close Punctuation
ValueCountFrequency (%)
) 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 396
90.0%
Common 27
 
6.1%
Latin 17
 
3.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
안 53
 
13.4%
경 52
 
13.1%
원 26
 
6.6%
이 22
 
5.6%
점 19
 
4.8%
아 12
 
3.0%
매 9
 
2.3%
니 9
 
2.3%
트 8
 
2.0%
라 8
 
2.0%
Other values (80) 178
44.9%
Latin
ValueCountFrequency (%)
E 6
35.3%
Y 2
 
11.8%
y 1
 
5.9%
b 1
 
5.9%
K 1
 
5.9%
I 1
 
5.9%
L 1
 
5.9%
R 1
 
5.9%
V 1
 
5.9%
A 1
 
5.9%
Common
ValueCountFrequency (%)
21
77.8%
( 3
 
11.1%
) 3
 
11.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 396
90.0%
ASCII 44
 
10.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
안 53
 
13.4%
경 52
 
13.1%
원 26
 
6.6%
이 22
 
5.6%
점 19
 
4.8%
아 12
 
3.0%
매 9
 
2.3%
니 9
 
2.3%
트 8
 
2.0%
라 8
 
2.0%
Other values (80) 178
44.9%
ASCII
ValueCountFrequency (%)
21
47.7%
E 6
 
13.6%
( 3
 
6.8%
) 3
 
6.8%
Y 2
 
4.5%
y 1
 
2.3%
b 1
 
2.3%
K 1
 
2.3%
I 1
 
2.3%
L 1
 
2.3%
Other values (4) 4
 
9.1%

사업장소재지(도로명)
Text

UNIQUE 

Distinct56
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size580.0 B
2023-12-12T21:35:49.871813image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length41
Median length33
Mean length26.375
Min length20

Characters and Unicode

Total characters1477
Distinct characters96
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

Unique56 ?
Unique (%)100.0%

Sample

1st row대전광역시 중구 계룡로 935, 1층 102호 (대사동)
2nd row대전광역시 중구 계백로 1700, 세이백화점 1층 (문화동)
3rd row대전광역시 중구 계백로 1681-1, 1층 (오류동)
4th row대전광역시 중구 수침로 109-1, 1층 (태평동)
5th row대전광역시 중구 중앙로164번길 11, 2층 (은행동)
ValueCountFrequency (%)
대전광역시 56
17.7%
중구 56
17.7%
1층 17
 
5.4%
계백로 8
 
2.5%
은행동 8
 
2.5%
대종로 7
 
2.2%
유천동 7
 
2.2%
태평동 7
 
2.2%
오류동 6
 
1.9%
중앙로 6
 
1.9%
Other values (110) 138
43.7%
2023-12-12T21:35:50.338939image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
260
 
17.6%
1 77
 
5.2%
대 75
 
5.1%
중 69
 
4.7%
동 61
 
4.1%
역 57
 
3.9%
전 57
 
3.9%
구 57
 
3.9%
로 56
 
3.8%
) 56
 
3.8%
Other values (86) 652
44.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 837
56.7%
Space Separator 260
 
17.6%
Decimal Number 232
 
15.7%
Close Punctuation 56
 
3.8%
Open Punctuation 56
 
3.8%
Other Punctuation 28
 
1.9%
Dash Punctuation 7
 
0.5%
Uppercase Letter 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
대 75
 
9.0%
중 69
 
8.2%
동 61
 
7.3%
역 57
 
6.8%
전 57
 
6.8%
구 57
 
6.8%
로 56
 
6.7%
시 56
 
6.7%
광 56
 
6.7%
층 19
 
2.3%
Other values (70) 274
32.7%
Decimal Number
ValueCountFrequency (%)
1 77
33.2%
2 22
 
9.5%
5 22
 
9.5%
3 20
 
8.6%
0 19
 
8.2%
6 19
 
8.2%
4 16
 
6.9%
8 16
 
6.9%
7 11
 
4.7%
9 10
 
4.3%
Space Separator
ValueCountFrequency (%)
260
100.0%
Close Punctuation
ValueCountFrequency (%)
) 56
100.0%
Open Punctuation
ValueCountFrequency (%)
( 56
100.0%
Other Punctuation
ValueCountFrequency (%)
, 28
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 7
100.0%
Uppercase Letter
ValueCountFrequency (%)
A 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 837
56.7%
Common 639
43.3%
Latin 1
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
대 75
 
9.0%
중 69
 
8.2%
동 61
 
7.3%
역 57
 
6.8%
전 57
 
6.8%
구 57
 
6.8%
로 56
 
6.7%
시 56
 
6.7%
광 56
 
6.7%
층 19
 
2.3%
Other values (70) 274
32.7%
Common
ValueCountFrequency (%)
260
40.7%
1 77
 
12.1%
) 56
 
8.8%
( 56
 
8.8%
, 28
 
4.4%
2 22
 
3.4%
5 22
 
3.4%
3 20
 
3.1%
0 19
 
3.0%
6 19
 
3.0%
Other values (5) 60
 
9.4%
Latin
ValueCountFrequency (%)
A 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 837
56.7%
ASCII 640
43.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
260
40.6%
1 77
 
12.0%
) 56
 
8.8%
( 56
 
8.8%
, 28
 
4.4%
2 22
 
3.4%
5 22
 
3.4%
3 20
 
3.1%
0 19
 
3.0%
6 19
 
3.0%
Other values (6) 61
 
9.5%
Hangul
ValueCountFrequency (%)
대 75
 
9.0%
중 69
 
8.2%
동 61
 
7.3%
역 57
 
6.8%
전 57
 
6.8%
구 57
 
6.8%
로 56
 
6.7%
시 56
 
6.7%
광 56
 
6.7%
층 19
 
2.3%
Other values (70) 274
32.7%

사업장전화번호
Text

MISSING 

Distinct50
Distinct (%)100.0%
Missing6
Missing (%)10.7%
Memory size580.0 B
2023-12-12T21:35:50.602241image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length12
Min length12

Characters and Unicode

Total characters600
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

Unique50 ?
Unique (%)100.0%

Sample

1st row042-223-2258
2nd row042-535-4686
3rd row042-242-3008
4th row042-345-5745
5th row042-536-7360
ValueCountFrequency (%)
042-253-6370 1
 
2.0%
042-586-5530 1
 
2.0%
042-528-6655 1
 
2.0%
042-585-5660 1
 
2.0%
042-582-7740 1
 
2.0%
042-537-7740 1
 
2.0%
042-535-5530 1
 
2.0%
042-257-7979 1
 
2.0%
042-221-2667 1
 
2.0%
042-581-6783 1
 
2.0%
Other values (40) 40
80.0%
2023-12-12T21:35:50.979336image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 115
19.2%
- 100
16.7%
0 80
13.3%
5 69
11.5%
4 68
11.3%
8 40
 
6.7%
7 36
 
6.0%
6 30
 
5.0%
3 28
 
4.7%
1 17
 
2.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 500
83.3%
Dash Punctuation 100
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 115
23.0%
0 80
16.0%
5 69
13.8%
4 68
13.6%
8 40
 
8.0%
7 36
 
7.2%
6 30
 
6.0%
3 28
 
5.6%
1 17
 
3.4%
9 17
 
3.4%
Dash Punctuation
ValueCountFrequency (%)
- 100
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 600
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
2 115
19.2%
- 100
16.7%
0 80
13.3%
5 69
11.5%
4 68
11.3%
8 40
 
6.7%
7 36
 
6.0%
6 30
 
5.0%
3 28
 
4.7%
1 17
 
2.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 600
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 115
19.2%
- 100
16.7%
0 80
13.3%
5 69
11.5%
4 68
11.3%
8 40
 
6.7%
7 36
 
6.0%
6 30
 
5.0%
3 28
 
4.7%
1 17
 
2.8%

Interactions

2023-12-12T21:35:48.175884image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T21:35:51.098503image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번안경업소명칭사업장소재지(도로명)사업장전화번호
연번1.0000.8351.0001.000
안경업소명칭0.8351.0001.0001.000
사업장소재지(도로명)1.0001.0001.0001.000
사업장전화번호1.0001.0001.0001.000

Missing values

2023-12-12T21:35:48.286111image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T21:35:48.378182image/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

연번안경업소명칭사업장소재지(도로명)사업장전화번호
01조은안경대전광역시 중구 계룡로 935, 1층 102호 (대사동)<NA>
12렌즈미(세이백화점)대전광역시 중구 계백로 1700, 세이백화점 1층 (문화동)042-223-2258
23아이라이크(EYE LIKE)대전광역시 중구 계백로 1681-1, 1층 (오류동)042-535-4686
34룩스토리안경원대전광역시 중구 수침로 109-1, 1층 (태평동)042-242-3008
45으뜸플러스안경 은행점대전광역시 중구 중앙로164번길 11, 2층 (은행동)042-345-5745
56렌즈타운대전점대전광역시 중구 중앙로 지하 145, A구역 가열 55호 (은행동)042-536-7360
67안경매니져 부사점대전광역시 중구 대종로 315, 1층 (부사동)042-252-1985
78조은안경콘택트대전광역시 중구 보문로103번길 50, 1층 (부사동)<NA>
89제이안경대전광역시 중구 산서로 25, 1층 (사정동)<NA>
910마나나안경원대전광역시 중구 대종로 59, 1층 (옥계동)<NA>
연번안경업소명칭사업장소재지(도로명)사업장전화번호
4647눈이넷안경원대전광역시 중구 중앙로 131 (선화동)042-226-5146
4748안경매니져석교점대전광역시 중구 대종로 226 (석교동)042-271-7348
4849서라벌안경원대전광역시 중구 중앙로 134-1 (대흥동)042-255-7870
4950삼부안경원대전광역시 중구 태평로 83, 1층 105호 (태평동, 삼부스포렉스)042-532-8642
5051연세안경원대전광역시 중구 중앙로 19 (용두동)042-256-0069
5152안경매니아 부사점대전광역시 중구 보문로 62 (부사동)042-255-1379
5253삼성안경원대전광역시 중구 계룡로 852, 1층 103호 (오류동, 삼성쇼핑센터 )042-524-4881
5354이미지안경콘택트태평점대전광역시 중구 동서대로 1217, 1층 (태평동)042-527-1001
5455우리안경원대전광역시 중구 중교로 23 (대흥동)042-256-9350
5556이안경원대전광역시 중구 중앙로 164 (은행동)042-252-8989