Overview

Dataset statistics

Number of variables5
Number of observations24
Missing cells1
Missing cells (%)0.8%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.1 KiB
Average record size in memory46.5 B

Variable types

Numeric1
Text3
Categorical1

Dataset

Description인천광역시 중구 관내에 위치한 안경업소에 대한 데이터 입니다.파일명 인천광역시_중구_안경업소 현황파일내용 업소명, 소재지, 전화번호 등
Author인천광역시 중구
URLhttps://data.incheon.go.kr/findData/publicDataDetail?dataId=3079658&srcSe=7661IVAWM27C61E190

Alerts

데이터기준일 has constant value ""Constant
전화번호 has 1 (4.2%) missing valuesMissing
순번 has unique valuesUnique
안경업소명칭 has unique valuesUnique
사업장소재지(도로명) has unique valuesUnique

Reproduction

Analysis started2024-01-28 05:36:40.822372
Analysis finished2024-01-28 05:36:41.312454
Duration0.49 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

순번
Real number (ℝ)

UNIQUE 

Distinct24
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean12.5
Minimum1
Maximum24
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size348.0 B
2024-01-28T14:36:41.380787image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2.15
Q16.75
median12.5
Q318.25
95-th percentile22.85
Maximum24
Range23
Interquartile range (IQR)11.5

Descriptive statistics

Standard deviation7.0710678
Coefficient of variation (CV)0.56568542
Kurtosis-1.2
Mean12.5
Median Absolute Deviation (MAD)6
Skewness0
Sum300
Variance50
MonotonicityStrictly increasing
2024-01-28T14:36:41.493389image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=24)
ValueCountFrequency (%)
1 1
 
4.2%
14 1
 
4.2%
24 1
 
4.2%
23 1
 
4.2%
22 1
 
4.2%
21 1
 
4.2%
20 1
 
4.2%
19 1
 
4.2%
18 1
 
4.2%
17 1
 
4.2%
Other values (14) 14
58.3%
ValueCountFrequency (%)
1 1
4.2%
2 1
4.2%
3 1
4.2%
4 1
4.2%
5 1
4.2%
6 1
4.2%
7 1
4.2%
8 1
4.2%
9 1
4.2%
10 1
4.2%
ValueCountFrequency (%)
24 1
4.2%
23 1
4.2%
22 1
4.2%
21 1
4.2%
20 1
4.2%
19 1
4.2%
18 1
4.2%
17 1
4.2%
16 1
4.2%
15 1
4.2%

안경업소명칭
Text

UNIQUE 

Distinct24
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size324.0 B
2024-01-28T14:36:41.674083image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length17
Median length11.5
Mean length8.2083333
Min length4

Characters and Unicode

Total characters197
Distinct characters80
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique24 ?
Unique (%)100.0%

Sample

1st row으뜸플러스 하늘도시점
2nd row안경, 진정성
3rd row오렌즈영종하늘도시점&데니스 안경
4th row으뜸플러스안경 동인천점
5th row미루안경
ValueCountFrequency (%)
안경 4
 
10.3%
동인천점 3
 
7.7%
으뜸플러스 2
 
5.1%
진정성 2
 
5.1%
아이월드안경렌즈샵 1
 
2.6%
신포 1
 
2.6%
실로암안경 1
 
2.6%
시호비젼 1
 
2.6%
롯데마트 1
 
2.6%
영종도점 1
 
2.6%
Other values (22) 22
56.4%
2024-01-28T14:36:41.969966image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
안 17
 
8.6%
경 17
 
8.6%
15
 
7.6%
점 9
 
4.6%
스 8
 
4.1%
천 5
 
2.5%
인 5
 
2.5%
렌 4
 
2.0%
동 4
 
2.0%
즈 4
 
2.0%
Other values (70) 109
55.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 173
87.8%
Space Separator 15
 
7.6%
Close Punctuation 3
 
1.5%
Open Punctuation 3
 
1.5%
Other Punctuation 3
 
1.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
안 17
 
9.8%
경 17
 
9.8%
점 9
 
5.2%
스 8
 
4.6%
천 5
 
2.9%
인 5
 
2.9%
렌 4
 
2.3%
동 4
 
2.3%
즈 4
 
2.3%
으 3
 
1.7%
Other values (64) 97
56.1%
Other Punctuation
ValueCountFrequency (%)
, 1
33.3%
& 1
33.3%
＆ 1
33.3%
Space Separator
ValueCountFrequency (%)
15
100.0%
Close Punctuation
ValueCountFrequency (%)
) 3
100.0%
Open Punctuation
ValueCountFrequency (%)
( 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 173
87.8%
Common 24
 
12.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
안 17
 
9.8%
경 17
 
9.8%
점 9
 
5.2%
스 8
 
4.6%
천 5
 
2.9%
인 5
 
2.9%
렌 4
 
2.3%
동 4
 
2.3%
즈 4
 
2.3%
으 3
 
1.7%
Other values (64) 97
56.1%
Common
ValueCountFrequency (%)
15
62.5%
) 3
 
12.5%
( 3
 
12.5%
, 1
 
4.2%
& 1
 
4.2%
＆ 1
 
4.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 173
87.8%
ASCII 23
 
11.7%
None 1
 
0.5%

Most frequent character per block

Hangul
ValueCountFrequency (%)
안 17
 
9.8%
경 17
 
9.8%
점 9
 
5.2%
스 8
 
4.6%
천 5
 
2.9%
인 5
 
2.9%
렌 4
 
2.3%
동 4
 
2.3%
즈 4
 
2.3%
으 3
 
1.7%
Other values (64) 97
56.1%
ASCII
ValueCountFrequency (%)
15
65.2%
) 3
 
13.0%
( 3
 
13.0%
, 1
 
4.3%
& 1
 
4.3%
None
ValueCountFrequency (%)
＆ 1
100.0%

사업장소재지(도로명)
Text

UNIQUE 

Distinct24
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size324.0 B
2024-01-28T14:36:42.174935image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length43
Median length35
Mean length29.833333
Min length20

Characters and Unicode

Total characters716
Distinct characters105
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique24 ?
Unique (%)100.0%

Sample

1st row인천광역시 중구 하늘중앙로 193, 2층 213호 (중산동)
2nd row인천광역시 중구 하늘중앙로225번길 12, 정인타워 (중산동)
3rd row인천광역시 중구 하늘중앙로195번길 15, 세영프라자 (중산동)
4th row인천광역시 중구 우현로 75, 눈편한안과,상아치과,포도나무약국 (인현동)
5th row인천광역시 중구 하늘달빛로 94, 105호 (중산동)
ValueCountFrequency (%)
인천광역시 24
 
16.6%
중구 24
 
16.6%
우현로 6
 
4.1%
운서동 6
 
4.1%
인현동 6
 
4.1%
중산동 5
 
3.4%
1층 3
 
2.1%
신포동 3
 
2.1%
참외전로 2
 
1.4%
지하1층 2
 
1.4%
Other values (58) 64
44.1%
2024-01-28T14:36:42.527039image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
121
 
16.9%
중 34
 
4.7%
인 33
 
4.6%
시 26
 
3.6%
로 25
 
3.5%
천 25
 
3.5%
역 25
 
3.5%
1 24
 
3.4%
) 24
 
3.4%
동 24
 
3.4%
Other values (95) 355
49.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 429
59.9%
Space Separator 121
 
16.9%
Decimal Number 93
 
13.0%
Close Punctuation 24
 
3.4%
Open Punctuation 24
 
3.4%
Other Punctuation 19
 
2.7%
Dash Punctuation 6
 
0.8%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
중 34
 
7.9%
인 33
 
7.7%
시 26
 
6.1%
로 25
 
5.8%
천 25
 
5.8%
역 25
 
5.8%
동 24
 
5.6%
구 24
 
5.6%
광 24
 
5.6%
현 13
 
3.0%
Other values (80) 176
41.0%
Decimal Number
ValueCountFrequency (%)
1 24
25.8%
2 13
14.0%
5 11
11.8%
3 9
 
9.7%
4 9
 
9.7%
7 8
 
8.6%
9 7
 
7.5%
0 5
 
5.4%
8 4
 
4.3%
6 3
 
3.2%
Space Separator
ValueCountFrequency (%)
121
100.0%
Close Punctuation
ValueCountFrequency (%)
) 24
100.0%
Open Punctuation
ValueCountFrequency (%)
( 24
100.0%
Other Punctuation
ValueCountFrequency (%)
, 19
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 6
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 429
59.9%
Common 287
40.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
중 34
 
7.9%
인 33
 
7.7%
시 26
 
6.1%
로 25
 
5.8%
천 25
 
5.8%
역 25
 
5.8%
동 24
 
5.6%
구 24
 
5.6%
광 24
 
5.6%
현 13
 
3.0%
Other values (80) 176
41.0%
Common
ValueCountFrequency (%)
121
42.2%
1 24
 
8.4%
) 24
 
8.4%
( 24
 
8.4%
, 19
 
6.6%
2 13
 
4.5%
5 11
 
3.8%
3 9
 
3.1%
4 9
 
3.1%
7 8
 
2.8%
Other values (5) 25
 
8.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 429
59.9%
ASCII 287
40.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
121
42.2%
1 24
 
8.4%
) 24
 
8.4%
( 24
 
8.4%
, 19
 
6.6%
2 13
 
4.5%
5 11
 
3.8%
3 9
 
3.1%
4 9
 
3.1%
7 8
 
2.8%
Other values (5) 25
 
8.7%
Hangul
ValueCountFrequency (%)
중 34
 
7.9%
인 33
 
7.7%
시 26
 
6.1%
로 25
 
5.8%
천 25
 
5.8%
역 25
 
5.8%
동 24
 
5.6%
구 24
 
5.6%
광 24
 
5.6%
현 13
 
3.0%
Other values (80) 176
41.0%

전화번호
Text

MISSING 

Distinct23
Distinct (%)100.0%
Missing1
Missing (%)4.2%
Memory size324.0 B
2024-01-28T14:36:42.729959image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length12
Min length12

Characters and Unicode

Total characters276
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

Unique23 ?
Unique (%)100.0%

Sample

1st row032-721-9919
2nd row032-746-6222
3rd row032-746-7768
4th row032-777-5778
5th row032-752-3005
ValueCountFrequency (%)
032-721-9919 1
 
4.3%
032-765-0264 1
 
4.3%
032-763-2000 1
 
4.3%
032-772-9776 1
 
4.3%
032-766-8808 1
 
4.3%
032-764-5447 1
 
4.3%
032-773-0707 1
 
4.3%
032-773-8383 1
 
4.3%
032-751-5131 1
 
4.3%
032-752-3991 1
 
4.3%
Other values (13) 13
56.5%
2024-01-28T14:36:43.009857image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 46
16.7%
7 44
15.9%
0 40
14.5%
3 37
13.4%
2 37
13.4%
5 17
 
6.2%
6 15
 
5.4%
1 12
 
4.3%
4 11
 
4.0%
8 9
 
3.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 230
83.3%
Dash Punctuation 46
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
7 44
19.1%
0 40
17.4%
3 37
16.1%
2 37
16.1%
5 17
 
7.4%
6 15
 
6.5%
1 12
 
5.2%
4 11
 
4.8%
8 9
 
3.9%
9 8
 
3.5%
Dash Punctuation
ValueCountFrequency (%)
- 46
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 276
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 46
16.7%
7 44
15.9%
0 40
14.5%
3 37
13.4%
2 37
13.4%
5 17
 
6.2%
6 15
 
5.4%
1 12
 
4.3%
4 11
 
4.0%
8 9
 
3.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 276
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 46
16.7%
7 44
15.9%
0 40
14.5%
3 37
13.4%
2 37
13.4%
5 17
 
6.2%
6 15
 
5.4%
1 12
 
4.3%
4 11
 
4.0%
8 9
 
3.3%

데이터기준일
Categorical

CONSTANT 

Distinct1
Distinct (%)4.2%
Missing0
Missing (%)0.0%
Memory size324.0 B
2023-09-11
24 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2023-09-11
2nd row2023-09-11
3rd row2023-09-11
4th row2023-09-11
5th row2023-09-11

Common Values

ValueCountFrequency (%)
2023-09-11 24
100.0%

Length

2024-01-28T14:36:43.129209image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-28T14:36:43.207765image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2023-09-11 24
100.0%

Interactions

2024-01-28T14:36:41.023735image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-01-28T14:36:43.260324image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순번안경업소명칭사업장소재지(도로명)전화번호
순번1.0001.0001.0001.000
안경업소명칭1.0001.0001.0001.000
사업장소재지(도로명)1.0001.0001.0001.000
전화번호1.0001.0001.0001.000

Missing values

2024-01-28T14:36:41.167368image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-01-28T14:36:41.259096image/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)전화번호데이터기준일
01으뜸플러스 하늘도시점인천광역시 중구 하늘중앙로 193, 2층 213호 (중산동)032-721-99192023-09-11
12안경, 진정성인천광역시 중구 하늘중앙로225번길 12, 정인타워 (중산동)032-746-62222023-09-11
23오렌즈영종하늘도시점&데니스 안경인천광역시 중구 하늘중앙로195번길 15, 세영프라자 (중산동)032-746-77682023-09-11
34으뜸플러스안경 동인천점인천광역시 중구 우현로 75, 눈편한안과,상아치과,포도나무약국 (인현동)032-777-57782023-09-11
45미루안경인천광역시 중구 하늘달빛로 94, 105호 (중산동)032-752-30052023-09-11
56글라스＆렌즈스토리인천광역시 중구 공항로 271, 인천국제공항역 지하1층 (운서동)032-743-34152023-09-11
67알로 인천공항점인천광역시 중구 공항로 271, 여객터미널 지하1층 2-24-08호 (운서동)032-743-54902023-09-11
78안경창고 싸군인천광역시 중구 하늘별빛로 71, 1층 (중산동)032-751-39002023-09-11
89글라스밤 동인천점인천광역시 중구 우현로87번길 2 (인현동)032-772-81852023-09-11
910오렌즈 동인천점(안경)인천광역시 중구 자유공원로 3-8 (인현동)032-773-50012023-09-11
순번안경업소명칭사업장소재지(도로명)전화번호데이터기준일
1415시호비젼 롯데마트 영종도점인천광역시 중구 흰바위로 51 (운서동, 롯데마트 3층)032-752-39912023-09-11
1516으뜸플러스 안경인천광역시 중구 신도시남로141번길 9-9 (운서동, 골드프라자 105호)032-751-51312023-09-11
1617아이월드안경렌즈샵인천광역시 중구 우현로 37-1, 정안경,허형범치과 1층 (신포동)032-773-83832023-09-11
1718참좋은안경인천광역시 중구 우현로 47 (신포동)032-773-07072023-09-11
1819안경 진정성 동인천점인천광역시 중구 인중로 134 (신생동)032-764-54472023-09-11
1920이밝은세상인천광역시 중구 우현로 지하69, 중앙로지하도상가 58,60호 (인현동)032-766-88082023-09-11
2021서독안경인천광역시 중구 우현로 59 (내동)032-772-97762023-09-11
2122씨채널안경인천광역시 중구 개항로 56 (내동)032-763-20002023-09-11
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