Overview

Dataset statistics

Number of variables4
Number of observations65
Missing cells14
Missing cells (%)5.4%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory2.2 KiB
Average record size in memory35.0 B

Variable types

Numeric1
Text3

Dataset

Description인천광역시 연수구에서 보유한 안경업소의 목록 데이터로써 안경업소명칭, 사업장소재지(도로명), 사업장전화번호 등의 항목 제공
URLhttps://www.data.go.kr/data/3068403/fileData.do

Alerts

사업장전화번호 has 14 (21.5%) missing valuesMissing
순번 has unique valuesUnique
안경업소명칭 has unique valuesUnique
사업장소재지(도로명) has unique valuesUnique

Reproduction

Analysis started2023-12-12 10:41:58.096764
Analysis finished2023-12-12 10:41:58.753418
Duration0.66 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

순번
Real number (ℝ)

UNIQUE 

Distinct65
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean33
Minimum1
Maximum65
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size717.0 B
2023-12-12T19:41:58.864909image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile4.2
Q117
median33
Q349
95-th percentile61.8
Maximum65
Range64
Interquartile range (IQR)32

Descriptive statistics

Standard deviation18.90767
Coefficient of variation (CV)0.57295971
Kurtosis-1.2
Mean33
Median Absolute Deviation (MAD)16
Skewness0
Sum2145
Variance357.5
MonotonicityStrictly increasing
2023-12-12T19:41:59.057581image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
1.5%
50 1
 
1.5%
36 1
 
1.5%
37 1
 
1.5%
38 1
 
1.5%
39 1
 
1.5%
40 1
 
1.5%
41 1
 
1.5%
42 1
 
1.5%
43 1
 
1.5%
Other values (55) 55
84.6%
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 (%)
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%
57 1
1.5%
56 1
1.5%

안경업소명칭
Text

UNIQUE 

Distinct65
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size652.0 B
2023-12-12T19:41:59.381626image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length17
Median length14
Mean length8.4307692
Min length3

Characters and Unicode

Total characters548
Distinct characters150
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

Unique65 ?
Unique (%)100.0%

Sample

1st row새로안안경 송도센터
2nd row다비치안경 송도월드마크2단지점
3rd row안경상회 송도점
4th row두쏠아이 홈플러스연수점
5th row안경정원
ValueCountFrequency (%)
송도점 8
 
8.5%
안경원 3
 
3.2%
으뜸플러스안경 3
 
3.2%
으뜸50안경 2
 
2.1%
다비치안경 2
 
2.1%
안경 2
 
2.1%
글라스스토리 2
 
2.1%
인천송도점 2
 
2.1%
인천연수점 2
 
2.1%
lunox안경 1
 
1.1%
Other values (67) 67
71.3%
2023-12-12T19:41:59.941365image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
안 47
 
8.6%
경 46
 
8.4%
29
 
5.3%
점 27
 
4.9%
송 20
 
3.6%
도 20
 
3.6%
스 19
 
3.5%
아 18
 
3.3%
이 17
 
3.1%
원 11
 
2.0%
Other values (140) 294
53.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 481
87.8%
Space Separator 29
 
5.3%
Uppercase Letter 18
 
3.3%
Decimal Number 7
 
1.3%
Close Punctuation 6
 
1.1%
Open Punctuation 6
 
1.1%
Other Punctuation 1
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
안 47
 
9.8%
경 46
 
9.6%
점 27
 
5.6%
송 20
 
4.2%
도 20
 
4.2%
스 19
 
4.0%
아 18
 
3.7%
이 17
 
3.5%
원 11
 
2.3%
리 11
 
2.3%
Other values (123) 245
50.9%
Uppercase Letter
ValueCountFrequency (%)
N 3
16.7%
E 3
16.7%
U 2
11.1%
O 2
11.1%
A 2
11.1%
L 2
11.1%
X 1
 
5.6%
J 1
 
5.6%
Y 1
 
5.6%
T 1
 
5.6%
Decimal Number
ValueCountFrequency (%)
5 3
42.9%
0 2
28.6%
2 2
28.6%
Space Separator
ValueCountFrequency (%)
29
100.0%
Close Punctuation
ValueCountFrequency (%)
) 6
100.0%
Open Punctuation
ValueCountFrequency (%)
( 6
100.0%
Other Punctuation
ValueCountFrequency (%)
, 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 481
87.8%
Common 49
 
8.9%
Latin 18
 
3.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
안 47
 
9.8%
경 46
 
9.6%
점 27
 
5.6%
송 20
 
4.2%
도 20
 
4.2%
스 19
 
4.0%
아 18
 
3.7%
이 17
 
3.5%
원 11
 
2.3%
리 11
 
2.3%
Other values (123) 245
50.9%
Latin
ValueCountFrequency (%)
N 3
16.7%
E 3
16.7%
U 2
11.1%
O 2
11.1%
A 2
11.1%
L 2
11.1%
X 1
 
5.6%
J 1
 
5.6%
Y 1
 
5.6%
T 1
 
5.6%
Common
ValueCountFrequency (%)
29
59.2%
) 6
 
12.2%
( 6
 
12.2%
5 3
 
6.1%
0 2
 
4.1%
2 2
 
4.1%
, 1
 
2.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 481
87.8%
ASCII 67
 
12.2%

Most frequent character per block

Hangul
ValueCountFrequency (%)
안 47
 
9.8%
경 46
 
9.6%
점 27
 
5.6%
송 20
 
4.2%
도 20
 
4.2%
스 19
 
4.0%
아 18
 
3.7%
이 17
 
3.5%
원 11
 
2.3%
리 11
 
2.3%
Other values (123) 245
50.9%
ASCII
ValueCountFrequency (%)
29
43.3%
) 6
 
9.0%
( 6
 
9.0%
5 3
 
4.5%
N 3
 
4.5%
E 3
 
4.5%
U 2
 
3.0%
O 2
 
3.0%
A 2
 
3.0%
L 2
 
3.0%
Other values (7) 9
 
13.4%

사업장소재지(도로명)
Text

UNIQUE 

Distinct65
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size652.0 B
2023-12-12T19:42:00.301032image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length58
Median length49
Mean length39.369231
Min length22

Characters and Unicode

Total characters2559
Distinct characters180
Distinct categories10 ?
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 (%)100.0%

Sample

1st row인천광역시 연수구 신송로 153, 더 마란츠타워 412호 (송도동)
2nd row인천광역시 연수구 컨벤시아대로 60, 114~117호 (송도동, 푸르지오월드마크)
3rd row인천광역시 연수구 송도문화로28번길 27, 근린생활시설1동 101호 (송도동, 송도글로벌파크베르디움)
4th row인천광역시 연수구 청능대로 210, 홈플러스 지하1층 XG,Y10호 (동춘동)
5th row인천광역시 연수구 센트럴로 415, 힐스테이트 송도 더테라스 판매시설동 155호 (송도동)
ValueCountFrequency (%)
인천광역시 65
 
13.9%
연수구 65
 
13.9%
송도동 36
 
7.7%
1층 17
 
3.6%
동춘동 8
 
1.7%
2층 7
 
1.5%
연수동 7
 
1.5%
컨벤시아대로 7
 
1.5%
옥련동 5
 
1.1%
해돋이로 4
 
0.9%
Other values (191) 246
52.7%
2023-12-12T19:42:01.300139image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
403
 
15.7%
1 135
 
5.3%
, 90
 
3.5%
동 88
 
3.4%
시 80
 
3.1%
연 75
 
2.9%
수 74
 
2.9%
송 71
 
2.8%
인 69
 
2.7%
로 69
 
2.7%
Other values (170) 1405
54.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1509
59.0%
Space Separator 403
 
15.7%
Decimal Number 402
 
15.7%
Other Punctuation 90
 
3.5%
Close Punctuation 65
 
2.5%
Open Punctuation 65
 
2.5%
Uppercase Letter 11
 
0.4%
Dash Punctuation 9
 
0.4%
Lowercase Letter 3
 
0.1%
Math Symbol 2
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 88
 
5.8%
시 80
 
5.3%
연 75
 
5.0%
수 74
 
4.9%
송 71
 
4.7%
인 69
 
4.6%
로 69
 
4.6%
천 67
 
4.4%
도 66
 
4.4%
구 66
 
4.4%
Other values (142) 784
52.0%
Decimal Number
ValueCountFrequency (%)
1 135
33.6%
2 61
15.2%
0 48
 
11.9%
3 30
 
7.5%
4 28
 
7.0%
5 28
 
7.0%
6 23
 
5.7%
8 20
 
5.0%
7 16
 
4.0%
9 13
 
3.2%
Uppercase Letter
ValueCountFrequency (%)
B 2
18.2%
C 2
18.2%
W 1
9.1%
A 1
9.1%
X 1
9.1%
G 1
9.1%
Y 1
9.1%
D 1
9.1%
H 1
9.1%
Lowercase Letter
ValueCountFrequency (%)
e 1
33.3%
t 1
33.3%
s 1
33.3%
Space Separator
ValueCountFrequency (%)
403
100.0%
Other Punctuation
ValueCountFrequency (%)
, 90
100.0%
Close Punctuation
ValueCountFrequency (%)
) 65
100.0%
Open Punctuation
ValueCountFrequency (%)
( 65
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 9
100.0%
Math Symbol
ValueCountFrequency (%)
~ 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1509
59.0%
Common 1036
40.5%
Latin 14
 
0.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 88
 
5.8%
시 80
 
5.3%
연 75
 
5.0%
수 74
 
4.9%
송 71
 
4.7%
인 69
 
4.6%
로 69
 
4.6%
천 67
 
4.4%
도 66
 
4.4%
구 66
 
4.4%
Other values (142) 784
52.0%
Common
ValueCountFrequency (%)
403
38.9%
1 135
 
13.0%
, 90
 
8.7%
) 65
 
6.3%
( 65
 
6.3%
2 61
 
5.9%
0 48
 
4.6%
3 30
 
2.9%
4 28
 
2.7%
5 28
 
2.7%
Other values (6) 83
 
8.0%
Latin
ValueCountFrequency (%)
B 2
14.3%
C 2
14.3%
e 1
7.1%
t 1
7.1%
s 1
7.1%
W 1
7.1%
A 1
7.1%
X 1
7.1%
G 1
7.1%
Y 1
7.1%
Other values (2) 2
14.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1509
59.0%
ASCII 1050
41.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
403
38.4%
1 135
 
12.9%
, 90
 
8.6%
) 65
 
6.2%
( 65
 
6.2%
2 61
 
5.8%
0 48
 
4.6%
3 30
 
2.9%
4 28
 
2.7%
5 28
 
2.7%
Other values (18) 97
 
9.2%
Hangul
ValueCountFrequency (%)
동 88
 
5.8%
시 80
 
5.3%
연 75
 
5.0%
수 74
 
4.9%
송 71
 
4.7%
인 69
 
4.6%
로 69
 
4.6%
천 67
 
4.4%
도 66
 
4.4%
구 66
 
4.4%
Other values (142) 784
52.0%

사업장전화번호
Text

MISSING 

Distinct51
Distinct (%)100.0%
Missing14
Missing (%)21.5%
Memory size652.0 B
2023-12-12T19:42:01.623475image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length11.941176
Min length8

Characters and Unicode

Total characters609
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

Unique51 ?
Unique (%)100.0%

Sample

1st row070-7585-6005
2nd row032-812-3991
3rd row032-818-9007
4th row032-208-8008
5th row032-833-9326
ValueCountFrequency (%)
070-7585-6005 1
 
2.0%
032-831-6006 1
 
2.0%
032-245-1001 1
 
2.0%
032-889-8883 1
 
2.0%
032-834-6871 1
 
2.0%
032-832-9970 1
 
2.0%
032-456-4470 1
 
2.0%
032-815-1002 1
 
2.0%
032-859-0962 1
 
2.0%
032-851-8002 1
 
2.0%
Other values (41) 41
80.4%
2023-12-12T19:42:02.091603image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 101
16.6%
0 99
16.3%
3 88
14.4%
2 80
13.1%
8 74
12.2%
1 53
8.7%
7 30
 
4.9%
6 23
 
3.8%
5 22
 
3.6%
4 21
 
3.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 508
83.4%
Dash Punctuation 101
 
16.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 99
19.5%
3 88
17.3%
2 80
15.7%
8 74
14.6%
1 53
10.4%
7 30
 
5.9%
6 23
 
4.5%
5 22
 
4.3%
4 21
 
4.1%
9 18
 
3.5%
Dash Punctuation
ValueCountFrequency (%)
- 101
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 609
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 101
16.6%
0 99
16.3%
3 88
14.4%
2 80
13.1%
8 74
12.2%
1 53
8.7%
7 30
 
4.9%
6 23
 
3.8%
5 22
 
3.6%
4 21
 
3.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 609
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 101
16.6%
0 99
16.3%
3 88
14.4%
2 80
13.1%
8 74
12.2%
1 53
8.7%
7 30
 
4.9%
6 23
 
3.8%
5 22
 
3.6%
4 21
 
3.4%

Interactions

2023-12-12T19:41:58.413363image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T19:42:02.202295image/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

2023-12-12T19:41:58.585764image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T19:41:58.701626image/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
01새로안안경 송도센터인천광역시 연수구 신송로 153, 더 마란츠타워 412호 (송도동)<NA>
12다비치안경 송도월드마크2단지점인천광역시 연수구 컨벤시아대로 60, 114~117호 (송도동, 푸르지오월드마크)<NA>
23안경상회 송도점인천광역시 연수구 송도문화로28번길 27, 근린생활시설1동 101호 (송도동, 송도글로벌파크베르디움)<NA>
34두쏠아이 홈플러스연수점인천광역시 연수구 청능대로 210, 홈플러스 지하1층 XG,Y10호 (동춘동)<NA>
45안경정원인천광역시 연수구 센트럴로 415, 힐스테이트 송도 더테라스 판매시설동 155호 (송도동)<NA>
56으뜸플러스안경 인천송도2호점인천광역시 연수구 랜드마크로 68, 301동 1층 14호 (송도동, 랜드마크시티센트럴더샵)070-7585-6005
67송도월드안경인천광역시 연수구 해돋이로 168-2, 101,102호 (송도동)032-812-3991
78으뜸50안경 인천송도점인천광역시 연수구 하모니로 158, 송도타임스페이스 C동 211호 (송도동)<NA>
89으뜸플러스안경 인천연수점인천광역시 연수구 용담로 129, 2층 (연수동)032-818-9007
910아이그라운드안경인천광역시 연수구 랜드마크로 68, 301동 1층 89호 (송도동, 랜드마크시티센트럴더샵)032-208-8008
순번안경업소명칭사업장소재지(도로명)사업장전화번호
5556안경집인천광역시 연수구 먼우금로 189, 110호 (청학동, 소망빌딩)032-814-8228
5657씨채널안경인천광역시 연수구 청능대로 103 (연수동)032-819-6600
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6162열린안경원인천광역시 연수구 독배로40번길 35, 1층 106호 (옥련동, 대명빌딩)032-834-0145
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6465씨채널연수점인천광역시 연수구 샘말로7번길 18 (연수동)032-814-1002