Overview

Dataset statistics

Number of variables3
Number of observations95
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory2.4 KiB
Average record size in memory26.4 B

Variable types

Numeric1
Text2

Dataset

Description인천광역시 남동구에 위치하는 안경업소 현황에 대한 데이터로 안경점 연번, 업소명, 안경업소 주소지 항목을 제공합니다.
Author인천광역시 남동구
URLhttps://data.incheon.go.kr/findData/publicDataDetail?dataId=15004432&srcSe=7661IVAWM27C61E190

Alerts

번호 has unique valuesUnique
사업장소재지(도로명) has unique valuesUnique

Reproduction

Analysis started2024-01-28 16:20:43.271198
Analysis finished2024-01-28 16:20:43.716300
Duration0.45 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

UNIQUE 

Distinct95
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean48
Minimum1
Maximum95
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size987.0 B
2024-01-29T01:20:43.771274image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile5.7
Q124.5
median48
Q371.5
95-th percentile90.3
Maximum95
Range94
Interquartile range (IQR)47

Descriptive statistics

Standard deviation27.568098
Coefficient of variation (CV)0.57433536
Kurtosis-1.2
Mean48
Median Absolute Deviation (MAD)24
Skewness0
Sum4560
Variance760
MonotonicityStrictly increasing
2024-01-29T01:20:43.870925image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
1.1%
2 1
 
1.1%
71 1
 
1.1%
70 1
 
1.1%
69 1
 
1.1%
68 1
 
1.1%
67 1
 
1.1%
66 1
 
1.1%
65 1
 
1.1%
64 1
 
1.1%
Other values (85) 85
89.5%
ValueCountFrequency (%)
1 1
1.1%
2 1
1.1%
3 1
1.1%
4 1
1.1%
5 1
1.1%
6 1
1.1%
7 1
1.1%
8 1
1.1%
9 1
1.1%
10 1
1.1%
ValueCountFrequency (%)
95 1
1.1%
94 1
1.1%
93 1
1.1%
92 1
1.1%
91 1
1.1%
90 1
1.1%
89 1
1.1%
88 1
1.1%
87 1
1.1%
86 1
1.1%

안경업소명칭
Text

Distinct94
Distinct (%)98.9%
Missing0
Missing (%)0.0%
Memory size892.0 B
2024-01-29T01:20:44.085484image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length19
Median length14
Mean length8.0842105
Min length4

Characters and Unicode

Total characters768
Distinct characters163
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

Unique93 ?
Unique (%)97.9%

Sample

1st row안경박사
2nd row으뜸플러스안경 인천모래내시장점
3rd row으뜸50안경 만수점
4th row하이안경
5th row알파안경
ValueCountFrequency (%)
안경 4
 
3.3%
인천논현점 4
 
3.3%
안경상회 2
 
1.6%
구월점 2
 
1.6%
렌즈미 2
 
1.6%
으뜸플러스안경 2
 
1.6%
으뜸50안경 2
 
1.6%
만수점 2
 
1.6%
오렌즈 2
 
1.6%
오케이(o.k)안경 1
 
0.8%
Other values (99) 99
81.1%
2024-01-29T01:20:44.419248image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
안 84
 
10.9%
경 84
 
10.9%
점 34
 
4.4%
27
 
3.5%
원 25
 
3.3%
스 19
 
2.5%
아 18
 
2.3%
이 17
 
2.2%
인 15
 
2.0%
월 12
 
1.6%
Other values (153) 433
56.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 676
88.0%
Space Separator 27
 
3.5%
Decimal Number 16
 
2.1%
Uppercase Letter 16
 
2.1%
Close Punctuation 12
 
1.6%
Open Punctuation 12
 
1.6%
Lowercase Letter 4
 
0.5%
Other Punctuation 4
 
0.5%
Dash Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
안 84
 
12.4%
경 84
 
12.4%
점 34
 
5.0%
원 25
 
3.7%
스 19
 
2.8%
아 18
 
2.7%
이 17
 
2.5%
인 15
 
2.2%
월 12
 
1.8%
구 12
 
1.8%
Other values (128) 356
52.7%
Uppercase Letter
ValueCountFrequency (%)
O 3
18.8%
N 2
12.5%
K 2
12.5%
M 1
 
6.2%
V 1
 
6.2%
G 1
 
6.2%
C 1
 
6.2%
E 1
 
6.2%
S 1
 
6.2%
B 1
 
6.2%
Other values (2) 2
12.5%
Decimal Number
ValueCountFrequency (%)
0 7
43.8%
1 4
25.0%
5 3
18.8%
3 1
 
6.2%
2 1
 
6.2%
Lowercase Letter
ValueCountFrequency (%)
e 3
75.0%
y 1
 
25.0%
Other Punctuation
ValueCountFrequency (%)
. 3
75.0%
& 1
 
25.0%
Space Separator
ValueCountFrequency (%)
27
100.0%
Close Punctuation
ValueCountFrequency (%)
) 12
100.0%
Open Punctuation
ValueCountFrequency (%)
( 12
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 676
88.0%
Common 72
 
9.4%
Latin 20
 
2.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
안 84
 
12.4%
경 84
 
12.4%
점 34
 
5.0%
원 25
 
3.7%
스 19
 
2.8%
아 18
 
2.7%
이 17
 
2.5%
인 15
 
2.2%
월 12
 
1.8%
구 12
 
1.8%
Other values (128) 356
52.7%
Latin
ValueCountFrequency (%)
e 3
15.0%
O 3
15.0%
N 2
10.0%
K 2
10.0%
M 1
 
5.0%
V 1
 
5.0%
G 1
 
5.0%
C 1
 
5.0%
E 1
 
5.0%
S 1
 
5.0%
Other values (4) 4
20.0%
Common
ValueCountFrequency (%)
27
37.5%
) 12
16.7%
( 12
16.7%
0 7
 
9.7%
1 4
 
5.6%
. 3
 
4.2%
5 3
 
4.2%
3 1
 
1.4%
& 1
 
1.4%
- 1
 
1.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 676
88.0%
ASCII 92
 
12.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
안 84
 
12.4%
경 84
 
12.4%
점 34
 
5.0%
원 25
 
3.7%
스 19
 
2.8%
아 18
 
2.7%
이 17
 
2.5%
인 15
 
2.2%
월 12
 
1.8%
구 12
 
1.8%
Other values (128) 356
52.7%
ASCII
ValueCountFrequency (%)
27
29.3%
) 12
13.0%
( 12
13.0%
0 7
 
7.6%
1 4
 
4.3%
e 3
 
3.3%
. 3
 
3.3%
O 3
 
3.3%
5 3
 
3.3%
N 2
 
2.2%
Other values (15) 16
17.4%

사업장소재지(도로명)
Text

UNIQUE 

Distinct95
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size892.0 B
2024-01-29T01:20:44.680885image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length59
Median length42
Mean length35.4
Min length21

Characters and Unicode

Total characters3363
Distinct characters169
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

Unique95 ?
Unique (%)100.0%

Sample

1st row인천광역시 남동구 앵고개로 928, 1층 119호 (논현동)
2nd row인천광역시 남동구 호구포로 812, 한빛하이존 105호 (구월동)
3rd row인천광역시 남동구 만수서로 60, 향촌 필러스프라자 2층 205호 (만수동)
4th row인천광역시 남동구 장승남로 61, 인일프라자 102호일부호 (만수동)
5th row인천광역시 남동구 논고개로123번길 35, 칼리오페 2층 210호일부호 (논현동)
ValueCountFrequency (%)
인천광역시 95
 
14.9%
남동구 95
 
14.9%
구월동 28
 
4.4%
논현동 23
 
3.6%
1층 18
 
2.8%
만수동 16
 
2.5%
간석동 14
 
2.2%
논고개로 11
 
1.7%
서창동 9
 
1.4%
구월로 8
 
1.3%
Other values (222) 321
50.3%
2024-01-29T01:20:45.117687image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
543
 
16.1%
동 203
 
6.0%
1 184
 
5.5%
구 141
 
4.2%
, 134
 
4.0%
남 116
 
3.4%
인 108
 
3.2%
로 100
 
3.0%
) 98
 
2.9%
( 98
 
2.9%
Other values (159) 1638
48.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1879
55.9%
Decimal Number 584
 
17.4%
Space Separator 543
 
16.1%
Other Punctuation 135
 
4.0%
Close Punctuation 98
 
2.9%
Open Punctuation 98
 
2.9%
Uppercase Letter 16
 
0.5%
Dash Punctuation 10
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 203
 
10.8%
구 141
 
7.5%
남 116
 
6.2%
인 108
 
5.7%
로 100
 
5.3%
천 97
 
5.2%
광 96
 
5.1%
시 95
 
5.1%
역 95
 
5.1%
호 73
 
3.9%
Other values (134) 755
40.2%
Decimal Number
ValueCountFrequency (%)
1 184
31.5%
0 82
14.0%
2 69
 
11.8%
3 52
 
8.9%
8 42
 
7.2%
5 41
 
7.0%
7 35
 
6.0%
4 33
 
5.7%
9 25
 
4.3%
6 21
 
3.6%
Uppercase Letter
ValueCountFrequency (%)
A 4
25.0%
B 2
12.5%
C 2
12.5%
X 2
12.5%
Y 2
12.5%
V 1
 
6.2%
G 1
 
6.2%
S 1
 
6.2%
J 1
 
6.2%
Other Punctuation
ValueCountFrequency (%)
, 134
99.3%
. 1
 
0.7%
Space Separator
ValueCountFrequency (%)
543
100.0%
Close Punctuation
ValueCountFrequency (%)
) 98
100.0%
Open Punctuation
ValueCountFrequency (%)
( 98
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 10
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1879
55.9%
Common 1468
43.7%
Latin 16
 
0.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 203
 
10.8%
구 141
 
7.5%
남 116
 
6.2%
인 108
 
5.7%
로 100
 
5.3%
천 97
 
5.2%
광 96
 
5.1%
시 95
 
5.1%
역 95
 
5.1%
호 73
 
3.9%
Other values (134) 755
40.2%
Common
ValueCountFrequency (%)
543
37.0%
1 184
 
12.5%
, 134
 
9.1%
) 98
 
6.7%
( 98
 
6.7%
0 82
 
5.6%
2 69
 
4.7%
3 52
 
3.5%
8 42
 
2.9%
5 41
 
2.8%
Other values (6) 125
 
8.5%
Latin
ValueCountFrequency (%)
A 4
25.0%
B 2
12.5%
C 2
12.5%
X 2
12.5%
Y 2
12.5%
V 1
 
6.2%
G 1
 
6.2%
S 1
 
6.2%
J 1
 
6.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1879
55.9%
ASCII 1484
44.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
543
36.6%
1 184
 
12.4%
, 134
 
9.0%
) 98
 
6.6%
( 98
 
6.6%
0 82
 
5.5%
2 69
 
4.6%
3 52
 
3.5%
8 42
 
2.8%
5 41
 
2.8%
Other values (15) 141
 
9.5%
Hangul
ValueCountFrequency (%)
동 203
 
10.8%
구 141
 
7.5%
남 116
 
6.2%
인 108
 
5.7%
로 100
 
5.3%
천 97
 
5.2%
광 96
 
5.1%
시 95
 
5.1%
역 95
 
5.1%
호 73
 
3.9%
Other values (134) 755
40.2%

Interactions

2024-01-29T01:20:43.536585image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-01-29T01:20:45.190284image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
번호안경업소명칭사업장소재지(도로명)
번호1.0000.9391.000
안경업소명칭0.9391.0001.000
사업장소재지(도로명)1.0001.0001.000

Missing values

2024-01-29T01:20:43.625738image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-01-29T01:20:43.687419image/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

번호안경업소명칭사업장소재지(도로명)
01안경박사인천광역시 남동구 앵고개로 928, 1층 119호 (논현동)
12으뜸플러스안경 인천모래내시장점인천광역시 남동구 호구포로 812, 한빛하이존 105호 (구월동)
23으뜸50안경 만수점인천광역시 남동구 만수서로 60, 향촌 필러스프라자 2층 205호 (만수동)
34하이안경인천광역시 남동구 장승남로 61, 인일프라자 102호일부호 (만수동)
45알파안경인천광역시 남동구 논고개로123번길 35, 칼리오페 2층 210호일부호 (논현동)
56으뜸플러스 안경 인천서창인천광역시 남동구 서창남순환로 223, 아페리온 A동 310호 (서창동)
67예담안경인천광역시 남동구 경인로 554, 효성오피스텔 105호 (간석동)
78으뜸50안경 인천논현점인천광역시 남동구 청능대로 581, 광성프라자 201호 (논현동)
89세모안경인천광역시 남동구 장승남로 50, 부건프라자 (만수동)
910아이문안경 렌즈미 인천논현점인천광역시 남동구 논고개로123번길 35, 칼리오페 A동 105호 (논현동)
번호안경업소명칭사업장소재지(도로명)
8586인하안경인천광역시 남동구 구월로 376 (만수동, 정은프라자 107호,108호)
8687새빛세광안경인천광역시 남동구 인하로 485 (구월동, 뉴코아아울렛 4층)
8788이태리안경원인천광역시 남동구 문화서로3번길 1, 1층 (구월동)
8889아이샵안경원인천광역시 남동구 장승남로 36 (만수동, 만수프라자내 108호)
8990하이눈안경인천광역시 남동구 석정로 507, 103호 (간석동)
9091팩토리M안경인천광역시 남동구 독점로 2 (구월동)
9192윤안경원인천광역시 남동구 문화서로 36, 1층 일부(102)호 (구월동)
9293우리안경(간석점)인천광역시 남동구 남동대로 886 (간석동, 1층)
9394안경진정성 인천시청점인천광역시 남동구 구월로 62 (간석동, 1층일부)
9495신세기안경인천광역시 남동구 담방로47번길 2 (만수동, 1층)