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 memory45.5 B

Variable types

Categorical1
Text4

Dataset

Description인천광역시 서구의 위생용품제조업 데이터입니다. 업종명, 업소명, 소재지(도로명), 소재지(지번), 전화번호 항목을 제공합니다.
Author인천광역시 서구
URLhttps://data.incheon.go.kr/findData/publicDataDetail?dataId=15106424&srcSe=7661IVAWM27C61E190

Alerts

업종명 has constant value ""Constant
전화번호 has 1 (4.2%) missing valuesMissing
업소명 has unique valuesUnique
소재지(도로명) has unique valuesUnique

Reproduction

Analysis started2024-01-28 09:33:24.908348
Analysis finished2024-01-28 09:33:25.255421
Duration0.35 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

업종명
Categorical

CONSTANT 

Distinct1
Distinct (%)4.2%
Missing0
Missing (%)0.0%
Memory size324.0 B
위생용품제조업
24 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row위생용품제조업
2nd row위생용품제조업
3rd row위생용품제조업
4th row위생용품제조업
5th row위생용품제조업

Common Values

ValueCountFrequency (%)
위생용품제조업 24
100.0%

Length

2024-01-28T18:33:25.306802image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-28T18:33:25.385449image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
위생용품제조업 24
100.0%

업소명
Text

UNIQUE 

Distinct24
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size324.0 B
2024-01-28T18:33:25.526058image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length17
Median length11
Mean length7.5416667
Min length3

Characters and Unicode

Total characters181
Distinct characters90
Distinct categories4 ?
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 row국제썬네프킨
2nd row원투원케미칼(주)
3rd row성일제지
4th row(주)대한페이퍼
5th row사회복지법인 인정재단 인정재활관
ValueCountFrequency (%)
주식회사 3
 
10.3%
국제썬네프킨 1
 
3.4%
제인티슈 1
 
3.4%
주)아보브네이처 1
 
3.4%
다비드화장품 1
 
3.4%
스와코 1
 
3.4%
알오에스 1
 
3.4%
주)유신에코 1
 
3.4%
주)비에스씨앤씨 1
 
3.4%
주)동방코스메틱 1
 
3.4%
Other values (17) 17
58.6%
2024-01-28T18:33:25.799693image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 15
 
8.3%
( 13
 
7.2%
) 13
 
7.2%
인 7
 
3.9%
사 5
 
2.8%
5
 
2.8%
회 5
 
2.8%
제 5
 
2.8%
스 4
 
2.2%
지 4
 
2.2%
Other values (80) 105
58.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 150
82.9%
Open Punctuation 13
 
7.2%
Close Punctuation 13
 
7.2%
Space Separator 5
 
2.8%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 15
 
10.0%
인 7
 
4.7%
사 5
 
3.3%
회 5
 
3.3%
제 5
 
3.3%
스 4
 
2.7%
지 4
 
2.7%
코 3
 
2.0%
이 3
 
2.0%
식 3
 
2.0%
Other values (77) 96
64.0%
Open Punctuation
ValueCountFrequency (%)
( 13
100.0%
Close Punctuation
ValueCountFrequency (%)
) 13
100.0%
Space Separator
ValueCountFrequency (%)
5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 150
82.9%
Common 31
 
17.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 15
 
10.0%
인 7
 
4.7%
사 5
 
3.3%
회 5
 
3.3%
제 5
 
3.3%
스 4
 
2.7%
지 4
 
2.7%
코 3
 
2.0%
이 3
 
2.0%
식 3
 
2.0%
Other values (77) 96
64.0%
Common
ValueCountFrequency (%)
( 13
41.9%
) 13
41.9%
5
 
16.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 150
82.9%
ASCII 31
 
17.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 15
 
10.0%
인 7
 
4.7%
사 5
 
3.3%
회 5
 
3.3%
제 5
 
3.3%
스 4
 
2.7%
지 4
 
2.7%
코 3
 
2.0%
이 3
 
2.0%
식 3
 
2.0%
Other values (77) 96
64.0%
ASCII
ValueCountFrequency (%)
( 13
41.9%
) 13
41.9%
5
 
16.1%

소재지(도로명)
Text

UNIQUE 

Distinct24
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size324.0 B
2024-01-28T18:33:26.002573image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length45
Median length37
Mean length33.625
Min length25

Characters and Unicode

Total characters807
Distinct characters110
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

Unique24 ?
Unique (%)100.0%

Sample

1st row인천광역시 서구 염곡로 31, 3층 (가좌동)
2nd row인천광역시 서구 중봉대로386번길 10, B동 2층 (원창동)
3rd row인천광역시 서구 원당대로507번길 84-2 (왕길동)
4th row인천광역시 서구 검단로326번길 81-31 (왕길동)
5th row인천광역시 서구 서달로123번안길 24, 인정재활원 (석남동)
ValueCountFrequency (%)
인천광역시 24
 
14.7%
서구 24
 
14.7%
가좌동 8
 
4.9%
오류동 7
 
4.3%
일부호 5
 
3.1%
왕길동 5
 
3.1%
1층 4
 
2.5%
2층 3
 
1.8%
원당대로480번길 3
 
1.8%
3층 3
 
1.8%
Other values (70) 77
47.2%
2024-01-28T18:33:26.348310image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
139
 
17.2%
동 32
 
4.0%
인 26
 
3.2%
서 26
 
3.2%
) 26
 
3.2%
( 26
 
3.2%
광 25
 
3.1%
구 25
 
3.1%
1 25
 
3.1%
천 24
 
3.0%
Other values (100) 433
53.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 451
55.9%
Space Separator 139
 
17.2%
Decimal Number 132
 
16.4%
Close Punctuation 26
 
3.2%
Open Punctuation 26
 
3.2%
Other Punctuation 22
 
2.7%
Uppercase Letter 6
 
0.7%
Dash Punctuation 4
 
0.5%
Math Symbol 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 32
 
7.1%
인 26
 
5.8%
서 26
 
5.8%
광 25
 
5.5%
구 25
 
5.5%
천 24
 
5.3%
역 24
 
5.3%
시 24
 
5.3%
로 24
 
5.3%
길 17
 
3.8%
Other values (80) 204
45.2%
Decimal Number
ValueCountFrequency (%)
1 25
18.9%
2 23
17.4%
3 15
11.4%
0 14
10.6%
8 14
10.6%
4 14
10.6%
6 7
 
5.3%
5 7
 
5.3%
7 7
 
5.3%
9 6
 
4.5%
Uppercase Letter
ValueCountFrequency (%)
C 2
33.3%
B 2
33.3%
I 1
16.7%
D 1
16.7%
Space Separator
ValueCountFrequency (%)
139
100.0%
Close Punctuation
ValueCountFrequency (%)
) 26
100.0%
Open Punctuation
ValueCountFrequency (%)
( 26
100.0%
Other Punctuation
ValueCountFrequency (%)
, 22
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 4
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 451
55.9%
Common 350
43.4%
Latin 6
 
0.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 32
 
7.1%
인 26
 
5.8%
서 26
 
5.8%
광 25
 
5.5%
구 25
 
5.5%
천 24
 
5.3%
역 24
 
5.3%
시 24
 
5.3%
로 24
 
5.3%
길 17
 
3.8%
Other values (80) 204
45.2%
Common
ValueCountFrequency (%)
139
39.7%
) 26
 
7.4%
( 26
 
7.4%
1 25
 
7.1%
2 23
 
6.6%
, 22
 
6.3%
3 15
 
4.3%
0 14
 
4.0%
8 14
 
4.0%
4 14
 
4.0%
Other values (6) 32
 
9.1%
Latin
ValueCountFrequency (%)
C 2
33.3%
B 2
33.3%
I 1
16.7%
D 1
16.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 451
55.9%
ASCII 356
44.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
139
39.0%
) 26
 
7.3%
( 26
 
7.3%
1 25
 
7.0%
2 23
 
6.5%
, 22
 
6.2%
3 15
 
4.2%
0 14
 
3.9%
8 14
 
3.9%
4 14
 
3.9%
Other values (10) 38
 
10.7%
Hangul
ValueCountFrequency (%)
동 32
 
7.1%
인 26
 
5.8%
서 26
 
5.8%
광 25
 
5.5%
구 25
 
5.5%
천 24
 
5.3%
역 24
 
5.3%
시 24
 
5.3%
로 24
 
5.3%
길 17
 
3.8%
Other values (80) 204
45.2%

소재지(지번)
Text

Distinct23
Distinct (%)95.8%
Missing0
Missing (%)0.0%
Memory size324.0 B
2024-01-28T18:33:26.522095image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length33
Median length27
Mean length24.666667
Min length17

Characters and Unicode

Total characters592
Distinct characters84
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

Unique22 ?
Unique (%)91.7%

Sample

1st row인천광역시 서구 가좌동 178-294 3층
2nd row인천광역시 서구 원창동 382-53
3rd row인천광역시 서구 왕길동 188-2
4th row인천광역시 서구 왕길동 64-45
5th row인천광역시 서구 석남동 491-1 인정재활원
ValueCountFrequency (%)
인천광역시 24
19.8%
서구 24
19.8%
가좌동 8
 
6.6%
오류동 7
 
5.8%
왕길동 5
 
4.1%
1층 3
 
2.5%
일부호 3
 
2.5%
원창동 2
 
1.7%
3층 2
 
1.7%
1656-1 2
 
1.7%
Other values (40) 41
33.9%
2024-01-28T18:33:26.830739image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
116
19.6%
동 27
 
4.6%
인 26
 
4.4%
1 26
 
4.4%
구 25
 
4.2%
광 25
 
4.2%
시 24
 
4.1%
서 24
 
4.1%
천 24
 
4.1%
역 24
 
4.1%
Other values (74) 251
42.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 320
54.1%
Decimal Number 125
 
21.1%
Space Separator 116
 
19.6%
Dash Punctuation 22
 
3.7%
Close Punctuation 3
 
0.5%
Open Punctuation 3
 
0.5%
Uppercase Letter 3
 
0.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 27
 
8.4%
인 26
 
8.1%
구 25
 
7.8%
광 25
 
7.8%
시 24
 
7.5%
서 24
 
7.5%
천 24
 
7.5%
역 24
 
7.5%
좌 8
 
2.5%
가 8
 
2.5%
Other values (57) 105
32.8%
Decimal Number
ValueCountFrequency (%)
1 26
20.8%
3 17
13.6%
2 15
12.0%
6 14
11.2%
5 13
10.4%
4 13
10.4%
8 10
 
8.0%
0 8
 
6.4%
7 5
 
4.0%
9 4
 
3.2%
Uppercase Letter
ValueCountFrequency (%)
C 1
33.3%
B 1
33.3%
I 1
33.3%
Space Separator
ValueCountFrequency (%)
116
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 22
100.0%
Close Punctuation
ValueCountFrequency (%)
) 3
100.0%
Open Punctuation
ValueCountFrequency (%)
( 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 320
54.1%
Common 269
45.4%
Latin 3
 
0.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 27
 
8.4%
인 26
 
8.1%
구 25
 
7.8%
광 25
 
7.8%
시 24
 
7.5%
서 24
 
7.5%
천 24
 
7.5%
역 24
 
7.5%
좌 8
 
2.5%
가 8
 
2.5%
Other values (57) 105
32.8%
Common
ValueCountFrequency (%)
116
43.1%
1 26
 
9.7%
- 22
 
8.2%
3 17
 
6.3%
2 15
 
5.6%
6 14
 
5.2%
5 13
 
4.8%
4 13
 
4.8%
8 10
 
3.7%
0 8
 
3.0%
Other values (4) 15
 
5.6%
Latin
ValueCountFrequency (%)
C 1
33.3%
B 1
33.3%
I 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 320
54.1%
ASCII 272
45.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
116
42.6%
1 26
 
9.6%
- 22
 
8.1%
3 17
 
6.2%
2 15
 
5.5%
6 14
 
5.1%
5 13
 
4.8%
4 13
 
4.8%
8 10
 
3.7%
0 8
 
2.9%
Other values (7) 18
 
6.6%
Hangul
ValueCountFrequency (%)
동 27
 
8.4%
인 26
 
8.1%
구 25
 
7.8%
광 25
 
7.8%
시 24
 
7.5%
서 24
 
7.5%
천 24
 
7.5%
역 24
 
7.5%
좌 8
 
2.5%
가 8
 
2.5%
Other values (57) 105
32.8%

전화번호
Text

MISSING 

Distinct23
Distinct (%)100.0%
Missing1
Missing (%)4.2%
Memory size324.0 B
2024-01-28T18:33:26.991442image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length12.086957
Min length12

Characters and Unicode

Total characters278
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 row032-577-9463
2nd row032-571-5670
3rd row032-551-0395
4th row070-8766-8931
5th row032-574-0457
ValueCountFrequency (%)
032-577-9463 1
 
4.3%
032-461-9200 1
 
4.3%
032-679-0091 1
 
4.3%
032-582-8127 1
 
4.3%
032-265-1414 1
 
4.3%
032-716-6370 1
 
4.3%
032-572-1497 1
 
4.3%
032-571-3347 1
 
4.3%
032-583-1116 1
 
4.3%
032-568-8633 1
 
4.3%
Other values (13) 13
56.5%
2024-01-28T18:33:27.248110image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 46
16.5%
3 37
13.3%
0 35
12.6%
2 34
12.2%
5 26
9.4%
7 21
7.6%
1 21
7.6%
6 19
6.8%
8 18
 
6.5%
4 13
 
4.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 232
83.5%
Dash Punctuation 46
 
16.5%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
3 37
15.9%
0 35
15.1%
2 34
14.7%
5 26
11.2%
7 21
9.1%
1 21
9.1%
6 19
8.2%
8 18
7.8%
4 13
 
5.6%
9 8
 
3.4%
Dash Punctuation
ValueCountFrequency (%)
- 46
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 278
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 46
16.5%
3 37
13.3%
0 35
12.6%
2 34
12.2%
5 26
9.4%
7 21
7.6%
1 21
7.6%
6 19
6.8%
8 18
 
6.5%
4 13
 
4.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 278
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 46
16.5%
3 37
13.3%
0 35
12.6%
2 34
12.2%
5 26
9.4%
7 21
7.6%
1 21
7.6%
6 19
6.8%
8 18
 
6.5%
4 13
 
4.7%

Correlations

2024-01-28T18:33:27.323698image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
업소명소재지(도로명)소재지(지번)전화번호
업소명1.0001.0001.0001.000
소재지(도로명)1.0001.0001.0001.000
소재지(지번)1.0001.0001.0001.000
전화번호1.0001.0001.0001.000

Missing values

2024-01-28T18:33:25.130248image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-01-28T18:33:25.218603image/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

업종명업소명소재지(도로명)소재지(지번)전화번호
0위생용품제조업국제썬네프킨인천광역시 서구 염곡로 31, 3층 (가좌동)인천광역시 서구 가좌동 178-294 3층032-577-9463
1위생용품제조업원투원케미칼(주)인천광역시 서구 중봉대로386번길 10, B동 2층 (원창동)인천광역시 서구 원창동 382-53032-571-5670
2위생용품제조업성일제지인천광역시 서구 원당대로507번길 84-2 (왕길동)인천광역시 서구 왕길동 188-2032-551-0395
3위생용품제조업(주)대한페이퍼인천광역시 서구 검단로326번길 81-31 (왕길동)인천광역시 서구 왕길동 64-45070-8766-8931
4위생용품제조업사회복지법인 인정재단 인정재활관인천광역시 서구 서달로123번안길 24, 인정재활원 (석남동)인천광역시 서구 석남동 491-1 인정재활원032-574-0457
5위생용품제조업그린페이퍼인천광역시 서구 보듬로 158, 블루텍 공존동 103~106, 319호 (오류동)인천광역시 서구 오류동 1656-1 블루텍032-566-8980
6위생용품제조업상일제지인천광역시 서구 원당대로480번길 23 (왕길동)인천광역시 서구 왕길동 103032-563-2815
7위생용품제조업(사)한국근로장애인진흥회인천광역시 서구 원당대로608번안길 15, 1층 일부호 (당하동)인천광역시 서구 당하동 960-2 1층 일부호032-435-8858
8위생용품제조업(주)흰돌제지인천광역시 서구 원당대로480번길 29-9 (왕길동)인천광역시 서구 왕길동 103-3032-565-8276
9위생용품제조업(주)다인누리인천광역시 서구 북항로 76-45 (주)다인누리 (원창동)인천광역시 서구 원창동 476-3 (주)다인누리032-571-1728
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14위생용품제조업두레물산인천광역시 서구 마중5로 24, 2동 (오류동)인천광역시 서구 오류동 1646-5 (주)선진엠앤에스 2동032-568-8633
15위생용품제조업(주)디마인인천광역시 서구 가좌로29번길 22, IBC센터 804호 (가좌동)인천광역시 서구 가좌동 539-15 IBC센터 804호032-583-1116
16위생용품제조업(주)동방코스메틱인천광역시 서구 가재울로32번길 39, 1층 일부호 (가좌동)인천광역시 서구 가좌동 543-7 1층 일부호032-571-3347
17위생용품제조업(주)비에스씨앤씨인천광역시 서구 건지로86번길 9, 3층 일부호 (가좌동)인천광역시 서구 가좌동 602-13 3층 일부032-572-1497
18위생용품제조업(주)유신에코인천광역시 서구 도담로 7, 1(공장)동 1층 일부호 (오류동)인천광역시 서구 오류동 1623-2 1(공장)동 1층 일부호032-716-6370
19위생용품제조업알오에스 주식회사인천광역시 서구 백범로 681, 스마트테크노타워 202호 (가좌동)인천광역시 서구 가좌동 541-1 스마트테크노타워 202호032-265-1414
20위생용품제조업스와코인천광역시 서구 가정로8번길 5, 스와코공장 2층 (가좌동)인천광역시 서구 가좌동 564-58 스와코공장032-582-8127
21위생용품제조업주식회사 다비드화장품인천광역시 서구 도담8로 14, 1층, 3층 일부 (오류동)인천광역시 서구 오류동 1638-4032-679-0091
22위생용품제조업(주)아보브네이처인천광역시 서구 보듬로 158, 블루텍 제7층 제공존714호 (오류동)인천광역시 서구 오류동 1656-1 블루텍<NA>
23위생용품제조업주식회사 모디슨인천광역시 서구 가석로 30, 광양프런티어밸리3차 410호 일부호 (가좌동)인천광역시 서구 가좌동 274-1 광양프런티어밸리3차032-214-4582