Overview

Dataset statistics

Number of variables4
Number of observations92
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory3.1 KiB
Average record size in memory34.4 B

Variable types

Numeric1
Text2
DateTime1

Dataset

Description인천광역시 남동구에 위치한 의류수선업 현황에 대한 데이터로 연번, 상호명, 소재지, 데이터기준일자 항목을 제공합니다.
Author인천광역시 남동구
URLhttps://www.data.go.kr/data/15091354/fileData.do

Alerts

데이터기준일자 has constant value ""Constant
연번 has unique valuesUnique

Reproduction

Analysis started2023-12-12 09:56:17.104945
Analysis finished2023-12-12 09:56:18.080047
Duration0.98 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

UNIQUE 

Distinct92
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean46.5
Minimum1
Maximum92
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size960.0 B
2023-12-12T18:56:18.186088image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile5.55
Q123.75
median46.5
Q369.25
95-th percentile87.45
Maximum92
Range91
Interquartile range (IQR)45.5

Descriptive statistics

Standard deviation26.70206
Coefficient of variation (CV)0.57423785
Kurtosis-1.2
Mean46.5
Median Absolute Deviation (MAD)23
Skewness0
Sum4278
Variance713
MonotonicityStrictly increasing
2023-12-12T18:56:18.405016image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
1.1%
60 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%
63 1
 
1.1%
62 1
 
1.1%
Other values (82) 82
89.1%
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 (%)
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%
85 1
1.1%
84 1
1.1%
83 1
1.1%

상호명
Text

Distinct85
Distinct (%)92.4%
Missing0
Missing (%)0.0%
Memory size868.0 B
2023-12-12T18:56:18.847988image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length16
Median length15
Mean length5.5
Min length2

Characters and Unicode

Total characters506
Distinct characters138
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique79 ?
Unique (%)85.9%

Sample

1st row롯데명품수선
2nd row아름다운옷수선
3rd row리폼하우스
4th row뽀송이네 수선집
5th row벽산남여옷수선집
ValueCountFrequency (%)
리폼하우스 3
 
3.0%
옷수선 3
 
3.0%
개미옷수선 2
 
2.0%
정민옷수선 2
 
2.0%
아름다운옷수선 2
 
2.0%
옷수선전문 2
 
2.0%
자매옷수선 2
 
2.0%
송이네 1
 
1.0%
택조네 1
 
1.0%
부흥옷수선 1
 
1.0%
Other values (82) 82
81.2%
2023-12-12T18:56:19.501741image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
선 76
 
15.0%
수 75
 
14.8%
옷 50
 
9.9%
아 15
 
3.0%
리 11
 
2.2%
9
 
1.8%
이 8
 
1.6%
명 8
 
1.6%
미 8
 
1.6%
폼 7
 
1.4%
Other values (128) 239
47.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 494
97.6%
Space Separator 9
 
1.8%
Decimal Number 3
 
0.6%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
선 76
 
15.4%
수 75
 
15.2%
옷 50
 
10.1%
아 15
 
3.0%
리 11
 
2.2%
이 8
 
1.6%
명 8
 
1.6%
미 8
 
1.6%
폼 7
 
1.4%
스 6
 
1.2%
Other values (125) 230
46.6%
Decimal Number
ValueCountFrequency (%)
1 2
66.7%
9 1
33.3%
Space Separator
ValueCountFrequency (%)
9
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 494
97.6%
Common 12
 
2.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
선 76
 
15.4%
수 75
 
15.2%
옷 50
 
10.1%
아 15
 
3.0%
리 11
 
2.2%
이 8
 
1.6%
명 8
 
1.6%
미 8
 
1.6%
폼 7
 
1.4%
스 6
 
1.2%
Other values (125) 230
46.6%
Common
ValueCountFrequency (%)
9
75.0%
1 2
 
16.7%
9 1
 
8.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 494
97.6%
ASCII 12
 
2.4%

Most frequent character per block

Hangul
ValueCountFrequency (%)
선 76
 
15.4%
수 75
 
15.2%
옷 50
 
10.1%
아 15
 
3.0%
리 11
 
2.2%
이 8
 
1.6%
명 8
 
1.6%
미 8
 
1.6%
폼 7
 
1.4%
스 6
 
1.2%
Other values (125) 230
46.6%
ASCII
ValueCountFrequency (%)
9
75.0%
1 2
 
16.7%
9 1
 
8.3%

소재지
Text

Distinct77
Distinct (%)83.7%
Missing0
Missing (%)0.0%
Memory size868.0 B
2023-12-12T18:56:19.990805image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length42
Median length32
Mean length22.858696
Min length16

Characters and Unicode

Total characters2103
Distinct characters120
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

Unique74 ?
Unique (%)80.4%

Sample

1st row인천광역시 남동구 인주대로604번길 53 대우빌딩
2nd row인천광역시 남동구 논고개로 101 아름다운타워112호
3rd row인천광역시 남동구 앵고개로815번길 20 101호 소래휴먼시아3단지 상가비동
4th row인천광역시 남동구 선수촌공원로 30 1층 뽀송이네 수선가게
5th row인천광역시 남동구 서판로54번길 5-2
ValueCountFrequency (%)
인천광역시 92
22.8%
남동구 92
22.8%
호구포로790번길 12
 
3.0%
21-13 9
 
2.2%
인주대로888번길 6
 
1.5%
35 6
 
1.5%
1층 4
 
1.0%
백범로 3
 
0.7%
312-1 3
 
0.7%
인하로 3
 
0.7%
Other values (151) 173
42.9%
2023-12-12T18:56:20.646503image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
311
 
14.8%
구 114
 
5.4%
인 104
 
4.9%
남 104
 
4.9%
동 101
 
4.8%
천 94
 
4.5%
시 94
 
4.5%
1 93
 
4.4%
역 92
 
4.4%
광 92
 
4.4%
Other values (110) 904
43.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1306
62.1%
Decimal Number 440
 
20.9%
Space Separator 311
 
14.8%
Dash Punctuation 38
 
1.8%
Lowercase Letter 5
 
0.2%
Other Punctuation 2
 
0.1%
Uppercase Letter 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 114
 
8.7%
인 104
 
8.0%
남 104
 
8.0%
동 101
 
7.7%
천 94
 
7.2%
시 94
 
7.2%
역 92
 
7.0%
광 92
 
7.0%
로 92
 
7.0%
번 57
 
4.4%
Other values (91) 362
27.7%
Decimal Number
ValueCountFrequency (%)
1 93
21.1%
2 66
15.0%
3 50
11.4%
0 40
9.1%
8 38
8.6%
5 38
8.6%
9 33
 
7.5%
4 33
 
7.5%
7 30
 
6.8%
6 19
 
4.3%
Lowercase Letter
ValueCountFrequency (%)
v 1
20.0%
c 1
20.0%
g 1
20.0%
p 1
20.0%
s 1
20.0%
Space Separator
ValueCountFrequency (%)
311
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 38
100.0%
Other Punctuation
ValueCountFrequency (%)
, 2
100.0%
Uppercase Letter
ValueCountFrequency (%)
B 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1306
62.1%
Common 791
37.6%
Latin 6
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 114
 
8.7%
인 104
 
8.0%
남 104
 
8.0%
동 101
 
7.7%
천 94
 
7.2%
시 94
 
7.2%
역 92
 
7.0%
광 92
 
7.0%
로 92
 
7.0%
번 57
 
4.4%
Other values (91) 362
27.7%
Common
ValueCountFrequency (%)
311
39.3%
1 93
 
11.8%
2 66
 
8.3%
3 50
 
6.3%
0 40
 
5.1%
8 38
 
4.8%
- 38
 
4.8%
5 38
 
4.8%
9 33
 
4.2%
4 33
 
4.2%
Other values (3) 51
 
6.4%
Latin
ValueCountFrequency (%)
v 1
16.7%
c 1
16.7%
g 1
16.7%
p 1
16.7%
B 1
16.7%
s 1
16.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1306
62.1%
ASCII 797
37.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
311
39.0%
1 93
 
11.7%
2 66
 
8.3%
3 50
 
6.3%
0 40
 
5.0%
8 38
 
4.8%
- 38
 
4.8%
5 38
 
4.8%
9 33
 
4.1%
4 33
 
4.1%
Other values (9) 57
 
7.2%
Hangul
ValueCountFrequency (%)
구 114
 
8.7%
인 104
 
8.0%
남 104
 
8.0%
동 101
 
7.7%
천 94
 
7.2%
시 94
 
7.2%
역 92
 
7.0%
광 92
 
7.0%
로 92
 
7.0%
번 57
 
4.4%
Other values (91) 362
27.7%

데이터기준일자
Date

CONSTANT 

Distinct1
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Memory size868.0 B
Minimum2023-09-11 00:00:00
Maximum2023-09-11 00:00:00
2023-12-12T18:56:20.803721image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T18:56:20.946699image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Interactions

2023-12-12T18:56:17.814680image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T18:56:21.076944image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번상호명소재지
연번1.0000.5090.700
상호명0.5091.0000.980
소재지0.7000.9801.000

Missing values

2023-12-12T18:56:17.938547image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T18:56:18.039135image/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

연번상호명소재지데이터기준일자
01롯데명품수선인천광역시 남동구 인주대로604번길 53 대우빌딩2023-09-11
12아름다운옷수선인천광역시 남동구 논고개로 101 아름다운타워112호2023-09-11
23리폼하우스인천광역시 남동구 앵고개로815번길 20 101호 소래휴먼시아3단지 상가비동2023-09-11
34뽀송이네 수선집인천광역시 남동구 선수촌공원로 30 1층 뽀송이네 수선가게2023-09-11
45벽산남여옷수선집인천광역시 남동구 서판로54번길 5-22023-09-11
56필리아옷수선집인천광역시 남동구 용천로 1202023-09-11
67개미옷수선인천광역시 남동구 호구포로790번길 21-16 개미수선2023-09-11
78유명옷수선인천광역시 남동구 간석로32번길 192023-09-11
89뉴코아수선 뉴코아아울렛 인천점인천광역시 남동구 인하로 485 뉴코아아울렛 4층2023-09-11
910실과바늘인천광역시 남동구 서창남로 692023-09-11
연번상호명소재지데이터기준일자
8283이음옷수선인천광역시 남동구 문화서로23번길 302023-09-11
8384보니따수선인천광역시 남동구 인주대로888번길 352023-09-11
8485은혜맞춤수선인천광역시 남동구 인주대로888번길 352023-09-11
8586옷사랑수선인천광역시 남동구 소래로687번길 20 ps빌 1층 101호2023-09-11
8687정의옷수선인천광역시 남동구 백범로 312-12023-09-11
8788자매옷수선인천광역시 남동구 인주대로888번길 352023-09-11
8889예쁜옷수선인천광역시 남동구 호구포로790번길 21-132023-09-11
8990진선미의류수선공예방인천광역시 남동구 만경로18번길 22023-09-11
9091유미옷수선인천광역시 남동구 호구포로790번길 21-132023-09-11
9192구월옷수선인천광역시 남동구 호구포로790번길 21-132023-09-11