Overview

Dataset statistics

Number of variables5
Number of observations66
Missing cells27
Missing cells (%)8.2%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory2.7 KiB
Average record size in memory42.0 B

Variable types

Categorical1
Text4

Dataset

Description서울특별시 광진구 식품소분업에 대한 데이터로 업종명, 업소명, 소재지(도로명), 소재지(지번), 소재지 전화 등의 항목을 제공합니다.
Author서울특별시 광진구
URLhttps://www.data.go.kr/data/15094367/fileData.do

Alerts

업종명 has constant value ""Constant
소재지전화 has 27 (40.9%) missing valuesMissing
소재지(도로명) has unique valuesUnique
소재지(지번) has unique valuesUnique

Reproduction

Analysis started2023-12-12 23:00:22.158188
Analysis finished2023-12-12 23:00:22.660758
Duration0.5 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

업종명
Categorical

CONSTANT 

Distinct1
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Memory size660.0 B
식품소분업
66 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
식품소분업 66
100.0%

Length

2023-12-13T08:00:22.743474image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T08:00:22.909064image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
식품소분업 66
100.0%

업소명
Text

Distinct65
Distinct (%)98.5%
Missing0
Missing (%)0.0%
Memory size660.0 B
2023-12-13T08:00:23.207971image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length16
Median length13
Mean length6.2575758
Min length2

Characters and Unicode

Total characters413
Distinct characters190
Distinct categories6 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique64 ?
Unique (%)97.0%

Sample

1st row롯데쇼핑(주) 롯데마트 강변점
2nd row아이소포
3rd row화양수퍼
4th row월드상사
5th row중앙농협하나로마트
ValueCountFrequency (%)
강경젓갈직판장 2
 
2.6%
주식회사 2
 
2.6%
세종바이오농산 1
 
1.3%
건어물 1
 
1.3%
제일 1
 
1.3%
도깨비식자재마트 1
 
1.3%
중국식품점 1
 
1.3%
123 1
 
1.3%
농부의아들 1
 
1.3%
피움뜰 1
 
1.3%
Other values (65) 65
84.4%
2023-12-13T08:00:23.715544image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
이 12
 
2.9%
트 12
 
2.9%
마 11
 
2.7%
11
 
2.7%
) 11
 
2.7%
( 11
 
2.7%
주 10
 
2.4%
리 7
 
1.7%
점 6
 
1.5%
식 6
 
1.5%
Other values (180) 316
76.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 371
89.8%
Space Separator 11
 
2.7%
Close Punctuation 11
 
2.7%
Open Punctuation 11
 
2.7%
Decimal Number 5
 
1.2%
Uppercase Letter 4
 
1.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
이 12
 
3.2%
트 12
 
3.2%
마 11
 
3.0%
주 10
 
2.7%
리 7
 
1.9%
점 6
 
1.6%
식 6
 
1.6%
자 6
 
1.6%
장 5
 
1.3%
사 5
 
1.3%
Other values (169) 291
78.4%
Decimal Number
ValueCountFrequency (%)
3 2
40.0%
2 1
20.0%
1 1
20.0%
4 1
20.0%
Uppercase Letter
ValueCountFrequency (%)
S 1
25.0%
K 1
25.0%
W 1
25.0%
J 1
25.0%
Space Separator
ValueCountFrequency (%)
11
100.0%
Close Punctuation
ValueCountFrequency (%)
) 11
100.0%
Open Punctuation
ValueCountFrequency (%)
( 11
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 371
89.8%
Common 38
 
9.2%
Latin 4
 
1.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
이 12
 
3.2%
트 12
 
3.2%
마 11
 
3.0%
주 10
 
2.7%
리 7
 
1.9%
점 6
 
1.6%
식 6
 
1.6%
자 6
 
1.6%
장 5
 
1.3%
사 5
 
1.3%
Other values (169) 291
78.4%
Common
ValueCountFrequency (%)
11
28.9%
) 11
28.9%
( 11
28.9%
3 2
 
5.3%
2 1
 
2.6%
1 1
 
2.6%
4 1
 
2.6%
Latin
ValueCountFrequency (%)
S 1
25.0%
K 1
25.0%
W 1
25.0%
J 1
25.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 371
89.8%
ASCII 42
 
10.2%

Most frequent character per block

Hangul
ValueCountFrequency (%)
이 12
 
3.2%
트 12
 
3.2%
마 11
 
3.0%
주 10
 
2.7%
리 7
 
1.9%
점 6
 
1.6%
식 6
 
1.6%
자 6
 
1.6%
장 5
 
1.3%
사 5
 
1.3%
Other values (169) 291
78.4%
ASCII
ValueCountFrequency (%)
11
26.2%
) 11
26.2%
( 11
26.2%
3 2
 
4.8%
2 1
 
2.4%
1 1
 
2.4%
S 1
 
2.4%
K 1
 
2.4%
4 1
 
2.4%
W 1
 
2.4%

소재지(도로명)
Text

UNIQUE 

Distinct66
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size660.0 B
2023-12-13T08:00:24.052514image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length45
Median length37.5
Mean length30.575758
Min length22

Characters and Unicode

Total characters2018
Distinct characters99
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

Unique66 ?
Unique (%)100.0%

Sample

1st row서울특별시 광진구 광나루로56길 지하 85, 2층 (구의동, 롯데마트)
2nd row서울특별시 광진구 아차산로65길 88 (구의동,B1)
3rd row서울특별시 광진구 군자로 70 (군자동)
4th row서울특별시 광진구 동일로 34-5, 1층 (자양동)
5th row서울특별시 광진구 뚝섬로 639 (자양동)
ValueCountFrequency (%)
서울특별시 66
 
16.3%
광진구 66
 
16.3%
1층 31
 
7.6%
중곡동 18
 
4.4%
자양동 17
 
4.2%
구의동 12
 
3.0%
군자동 9
 
2.2%
지하1층 5
 
1.2%
2층 4
 
1.0%
군자로 4
 
1.0%
Other values (140) 174
42.9%
2023-12-13T08:00:24.508440image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
340
 
16.8%
1 99
 
4.9%
구 83
 
4.1%
동 79
 
3.9%
광 73
 
3.6%
시 67
 
3.3%
진 67
 
3.3%
) 67
 
3.3%
( 67
 
3.3%
서 66
 
3.3%
Other values (89) 1010
50.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1150
57.0%
Space Separator 340
 
16.8%
Decimal Number 322
 
16.0%
Close Punctuation 67
 
3.3%
Open Punctuation 67
 
3.3%
Other Punctuation 66
 
3.3%
Uppercase Letter 3
 
0.1%
Dash Punctuation 3
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 83
 
7.2%
동 79
 
6.9%
광 73
 
6.3%
시 67
 
5.8%
진 67
 
5.8%
서 66
 
5.7%
특 66
 
5.7%
별 66
 
5.7%
울 66
 
5.7%
로 66
 
5.7%
Other values (73) 451
39.2%
Decimal Number
ValueCountFrequency (%)
1 99
30.7%
3 36
 
11.2%
2 33
 
10.2%
0 32
 
9.9%
5 32
 
9.9%
4 25
 
7.8%
8 22
 
6.8%
7 16
 
5.0%
6 15
 
4.7%
9 12
 
3.7%
Space Separator
ValueCountFrequency (%)
340
100.0%
Close Punctuation
ValueCountFrequency (%)
) 67
100.0%
Open Punctuation
ValueCountFrequency (%)
( 67
100.0%
Other Punctuation
ValueCountFrequency (%)
, 66
100.0%
Uppercase Letter
ValueCountFrequency (%)
B 3
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1150
57.0%
Common 865
42.9%
Latin 3
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 83
 
7.2%
동 79
 
6.9%
광 73
 
6.3%
시 67
 
5.8%
진 67
 
5.8%
서 66
 
5.7%
특 66
 
5.7%
별 66
 
5.7%
울 66
 
5.7%
로 66
 
5.7%
Other values (73) 451
39.2%
Common
ValueCountFrequency (%)
340
39.3%
1 99
 
11.4%
) 67
 
7.7%
( 67
 
7.7%
, 66
 
7.6%
3 36
 
4.2%
2 33
 
3.8%
0 32
 
3.7%
5 32
 
3.7%
4 25
 
2.9%
Other values (5) 68
 
7.9%
Latin
ValueCountFrequency (%)
B 3
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1150
57.0%
ASCII 868
43.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
340
39.2%
1 99
 
11.4%
) 67
 
7.7%
( 67
 
7.7%
, 66
 
7.6%
3 36
 
4.1%
2 33
 
3.8%
0 32
 
3.7%
5 32
 
3.7%
4 25
 
2.9%
Other values (6) 71
 
8.2%
Hangul
ValueCountFrequency (%)
구 83
 
7.2%
동 79
 
6.9%
광 73
 
6.3%
시 67
 
5.8%
진 67
 
5.8%
서 66
 
5.7%
특 66
 
5.7%
별 66
 
5.7%
울 66
 
5.7%
로 66
 
5.7%
Other values (73) 451
39.2%

소재지(지번)
Text

UNIQUE 

Distinct66
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size660.0 B
2023-12-13T08:00:24.785026image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length41
Median length35
Mean length22.030303
Min length18

Characters and Unicode

Total characters1454
Distinct characters62
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

Unique66 ?
Unique (%)100.0%

Sample

1st row서울특별시 광진구 구의동 546-4
2nd row서울특별시 광진구 구의동 227-15 B1
3rd row서울특별시 광진구 군자동 362-1
4th row서울특별시 광진구 자양동 203-9
5th row서울특별시 광진구 자양동 635-8
ValueCountFrequency (%)
서울특별시 66
22.8%
광진구 66
22.8%
중곡동 19
 
6.6%
자양동 19
 
6.6%
구의동 14
 
4.8%
군자동 9
 
3.1%
1층 8
 
2.8%
능동 3
 
1.0%
2층 2
 
0.7%
134-37 2
 
0.7%
Other values (82) 82
28.3%
2023-12-13T08:00:25.175199image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
290
19.9%
구 80
 
5.5%
광 68
 
4.7%
진 67
 
4.6%
동 67
 
4.6%
시 67
 
4.6%
서 66
 
4.5%
울 66
 
4.5%
별 66
 
4.5%
특 66
 
4.5%
Other values (52) 551
37.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 785
54.0%
Decimal Number 315
21.7%
Space Separator 290
 
19.9%
Dash Punctuation 59
 
4.1%
Other Punctuation 2
 
0.1%
Uppercase Letter 1
 
0.1%
Close Punctuation 1
 
0.1%
Open Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 80
10.2%
광 68
8.7%
진 67
8.5%
동 67
8.5%
시 67
8.5%
서 66
8.4%
울 66
8.4%
별 66
8.4%
특 66
8.4%
자 28
 
3.6%
Other values (36) 144
18.3%
Decimal Number
ValueCountFrequency (%)
1 65
20.6%
2 52
16.5%
3 48
15.2%
5 33
10.5%
6 30
9.5%
4 28
8.9%
0 17
 
5.4%
9 16
 
5.1%
7 14
 
4.4%
8 12
 
3.8%
Space Separator
ValueCountFrequency (%)
290
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 59
100.0%
Other Punctuation
ValueCountFrequency (%)
, 2
100.0%
Uppercase Letter
ValueCountFrequency (%)
B 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 785
54.0%
Common 668
45.9%
Latin 1
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 80
10.2%
광 68
8.7%
진 67
8.5%
동 67
8.5%
시 67
8.5%
서 66
8.4%
울 66
8.4%
별 66
8.4%
특 66
8.4%
자 28
 
3.6%
Other values (36) 144
18.3%
Common
ValueCountFrequency (%)
290
43.4%
1 65
 
9.7%
- 59
 
8.8%
2 52
 
7.8%
3 48
 
7.2%
5 33
 
4.9%
6 30
 
4.5%
4 28
 
4.2%
0 17
 
2.5%
9 16
 
2.4%
Other values (5) 30
 
4.5%
Latin
ValueCountFrequency (%)
B 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 785
54.0%
ASCII 669
46.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
290
43.3%
1 65
 
9.7%
- 59
 
8.8%
2 52
 
7.8%
3 48
 
7.2%
5 33
 
4.9%
6 30
 
4.5%
4 28
 
4.2%
0 17
 
2.5%
9 16
 
2.4%
Other values (6) 31
 
4.6%
Hangul
ValueCountFrequency (%)
구 80
10.2%
광 68
8.7%
진 67
8.5%
동 67
8.5%
시 67
8.5%
서 66
8.4%
울 66
8.4%
별 66
8.4%
특 66
8.4%
자 28
 
3.6%
Other values (36) 144
18.3%

소재지전화
Text

MISSING 

Distinct39
Distinct (%)100.0%
Missing27
Missing (%)40.9%
Memory size660.0 B
2023-12-13T08:00:25.408297image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length11
Mean length11.205128
Min length11

Characters and Unicode

Total characters437
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

Unique39 ?
Unique (%)100.0%

Sample

1st row02-3424-2500
2nd row02-2201-9748
3rd row02-499-3344
4th row02-467-1084
5th row02-3437-9150
ValueCountFrequency (%)
02-3424-2500 1
 
2.6%
02-504-9030 1
 
2.6%
02-456-7787 1
 
2.6%
02-6092-5148 1
 
2.6%
02-2237-4036 1
 
2.6%
02-447-7667 1
 
2.6%
02-446-6017 1
 
2.6%
02-446-2886 1
 
2.6%
02-514-7100 1
 
2.6%
02-452-5722 1
 
2.6%
Other values (29) 29
74.4%
2023-12-13T08:00:25.762758image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 78
17.8%
0 71
16.2%
4 65
14.9%
2 63
14.4%
6 37
8.5%
5 33
7.6%
7 29
 
6.6%
3 21
 
4.8%
1 14
 
3.2%
8 13
 
3.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 359
82.2%
Dash Punctuation 78
 
17.8%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 71
19.8%
4 65
18.1%
2 63
17.5%
6 37
10.3%
5 33
9.2%
7 29
8.1%
3 21
 
5.8%
1 14
 
3.9%
8 13
 
3.6%
9 13
 
3.6%
Dash Punctuation
ValueCountFrequency (%)
- 78
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 437
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 78
17.8%
0 71
16.2%
4 65
14.9%
2 63
14.4%
6 37
8.5%
5 33
7.6%
7 29
 
6.6%
3 21
 
4.8%
1 14
 
3.2%
8 13
 
3.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 437
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 78
17.8%
0 71
16.2%
4 65
14.9%
2 63
14.4%
6 37
8.5%
5 33
7.6%
7 29
 
6.6%
3 21
 
4.8%
1 14
 
3.2%
8 13
 
3.0%

Correlations

2023-12-13T08:00:25.852140image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
업소명소재지(도로명)소재지(지번)소재지전화
업소명1.0001.0001.0001.000
소재지(도로명)1.0001.0001.0001.000
소재지(지번)1.0001.0001.0001.000
소재지전화1.0001.0001.0001.000

Missing values

2023-12-13T08:00:22.496931image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T08:00:22.621660image/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)소재지전화
0식품소분업롯데쇼핑(주) 롯데마트 강변점서울특별시 광진구 광나루로56길 지하 85, 2층 (구의동, 롯데마트)서울특별시 광진구 구의동 546-402-3424-2500
1식품소분업아이소포서울특별시 광진구 아차산로65길 88 (구의동,B1)서울특별시 광진구 구의동 227-15 B102-2201-9748
2식품소분업화양수퍼서울특별시 광진구 군자로 70 (군자동)서울특별시 광진구 군자동 362-102-499-3344
3식품소분업월드상사서울특별시 광진구 동일로 34-5, 1층 (자양동)서울특별시 광진구 자양동 203-902-467-1084
4식품소분업중앙농협하나로마트서울특별시 광진구 뚝섬로 639 (자양동)서울특별시 광진구 자양동 635-802-3437-9150
5식품소분업(주)조양마트서울특별시 광진구 아차산로30길 39 (자양동)서울특별시 광진구 자양동 6-2002-464-4456
6식품소분업소망서울특별시 광진구 자양로43길 88 (중곡동,(2층))서울특별시 광진구 중곡동 94-15 (2층)02-466-0604
7식품소분업대우홈마트서울특별시 광진구 영화사로 14 (중곡동)서울특별시 광진구 중곡동 79-1102-447-5562
8식품소분업장모님 식품서울특별시 광진구 능동로59길 30, 1층 (중곡동)서울특별시 광진구 중곡동 169-92<NA>
9식품소분업자양진로마트서울특별시 광진구 뚝섬로 558 (자양동,대양빌딩)서울특별시 광진구 자양동 553-502 대양빌딩02-452-5673
업종명업소명소재지(도로명)소재지(지번)소재지전화
56식품소분업바다의모든것팔딱팔딱서울특별시 광진구 구의로 28, 동영빌딩 1층 (구의동)서울특별시 광진구 구의동 223-65 동영빌딩<NA>
57식품소분업이프서울특별시 광진구 면목로 34, 금원빌딩 4층 402호 (군자동)서울특별시 광진구 군자동 471-4 금원빌딩02-762-2296
58식품소분업춘희네건어물젓갈서울특별시 광진구 자양로13나길 37, 1층 (자양동)서울특별시 광진구 자양동 613-802-452-5722
59식품소분업담꾹 군자점서울특별시 광진구 군자로 76, 1층 (군자동)서울특별시 광진구 군자동 363-13<NA>
60식품소분업플렉스키친서울특별시 광진구 동일로20길 32, 1층 101호 (자양동)서울특별시 광진구 자양동 13-4402-465-5242
61식품소분업더하다서울특별시 광진구 구의로 59, 지하1층 B101호 (구의동)서울특별시 광진구 구의동 226-24<NA>
62식품소분업핑크토퍼서울특별시 광진구 용마산로 160, 2층 (중곡동)서울특별시 광진구 중곡동 18-1<NA>
63식품소분업대광디에프(맛디 자양점)서울특별시 광진구 자양로13길 108, 1층 (자양동)서울특별시 광진구 자양동 616-28<NA>
64식품소분업JW푸드서울특별시 광진구 용마산로1길 39, 청운빌딩 3층 (중곡동)서울특별시 광진구 중곡동 119-1 청운빌딩<NA>
65식품소분업제일한과서울특별시 광진구 긴고랑로11길 11, 제일시장 1층 19호 (중곡동)서울특별시 광진구 중곡동 229-5 제일시장<NA>