Overview

Dataset statistics

Number of variables5
Number of observations27
Missing cells6
Missing cells (%)4.4%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.2 KiB
Average record size in memory44.9 B

Variable types

Categorical1
Text4

Dataset

Description서울특별시 광진구 식품제조가공업에 대한 데이터로 업종명, 업소명, 소재지(도로명), 소재지전화 등의 항목을 제공합니다.
Author서울특별시 광진구
URLhttps://www.data.go.kr/data/15094368/fileData.do

Alerts

업종명 has constant value ""Constant
소재지전화 has 6 (22.2%) missing valuesMissing
업소명 has unique valuesUnique
소재지(도로명) has unique valuesUnique
소재지(지번) has unique valuesUnique

Reproduction

Analysis started2023-12-12 19:53:35.625735
Analysis finished2023-12-12 19:53:36.081062
Duration0.46 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

업종명
Categorical

CONSTANT 

Distinct1
Distinct (%)3.7%
Missing0
Missing (%)0.0%
Memory size348.0 B
식품제조가공업
27 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
식품제조가공업 27
100.0%

Length

2023-12-13T04:53:36.160366image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T04:53:36.255738image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
식품제조가공업 27
100.0%

업소명
Text

UNIQUE 

Distinct27
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size348.0 B
2023-12-13T04:53:36.437675image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length31
Median length12
Mean length8.037037
Min length3

Characters and Unicode

Total characters217
Distinct characters108
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

Unique27 ?
Unique (%)100.0%

Sample

1st row(주)한국미연식품연구소
2nd row워커힐식품
3rd row김가네식품
4th row참존식품
5th row맛쭈서해쭈꾸미
ValueCountFrequency (%)
주식회사 4
 
10.0%
커피 2
 
5.0%
주)한국미연식품연구소 1
 
2.5%
폴리체 1
 
2.5%
아임유어커피 1
 
2.5%
시드누아 1
 
2.5%
낙원떡 1
 
2.5%
거상 1
 
2.5%
선데이잼 1
 
2.5%
위크위크컴퍼니 1
 
2.5%
Other values (26) 26
65.0%
2023-12-13T04:53:36.839437image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
13
 
6.0%
커 11
 
5.1%
피 10
 
4.6%
식 9
 
4.1%
스 8
 
3.7%
주 7
 
3.2%
품 5
 
2.3%
리 5
 
2.3%
드 4
 
1.8%
사 4
 
1.8%
Other values (98) 141
65.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 177
81.6%
Space Separator 13
 
6.0%
Lowercase Letter 13
 
6.0%
Uppercase Letter 5
 
2.3%
Open Punctuation 4
 
1.8%
Close Punctuation 4
 
1.8%
Decimal Number 1
 
0.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
커 11
 
6.2%
피 10
 
5.6%
식 9
 
5.1%
스 8
 
4.5%
주 7
 
4.0%
품 5
 
2.8%
리 5
 
2.8%
드 4
 
2.3%
사 4
 
2.3%
회 4
 
2.3%
Other values (82) 110
62.1%
Lowercase Letter
ValueCountFrequency (%)
e 4
30.8%
o 2
15.4%
s 2
15.4%
f 2
15.4%
r 1
 
7.7%
t 1
 
7.7%
a 1
 
7.7%
Uppercase Letter
ValueCountFrequency (%)
D 1
20.0%
A 1
20.0%
F 1
20.0%
C 1
20.0%
R 1
20.0%
Space Separator
ValueCountFrequency (%)
13
100.0%
Open Punctuation
ValueCountFrequency (%)
( 4
100.0%
Close Punctuation
ValueCountFrequency (%)
) 4
100.0%
Decimal Number
ValueCountFrequency (%)
1 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 177
81.6%
Common 22
 
10.1%
Latin 18
 
8.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
커 11
 
6.2%
피 10
 
5.6%
식 9
 
5.1%
스 8
 
4.5%
주 7
 
4.0%
품 5
 
2.8%
리 5
 
2.8%
드 4
 
2.3%
사 4
 
2.3%
회 4
 
2.3%
Other values (82) 110
62.1%
Latin
ValueCountFrequency (%)
e 4
22.2%
o 2
11.1%
s 2
11.1%
f 2
11.1%
D 1
 
5.6%
A 1
 
5.6%
F 1
 
5.6%
C 1
 
5.6%
r 1
 
5.6%
t 1
 
5.6%
Other values (2) 2
11.1%
Common
ValueCountFrequency (%)
13
59.1%
( 4
 
18.2%
) 4
 
18.2%
1 1
 
4.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 177
81.6%
ASCII 40
 
18.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
13
32.5%
e 4
 
10.0%
( 4
 
10.0%
) 4
 
10.0%
o 2
 
5.0%
s 2
 
5.0%
f 2
 
5.0%
1 1
 
2.5%
D 1
 
2.5%
A 1
 
2.5%
Other values (6) 6
15.0%
Hangul
ValueCountFrequency (%)
커 11
 
6.2%
피 10
 
5.6%
식 9
 
5.1%
스 8
 
4.5%
주 7
 
4.0%
품 5
 
2.8%
리 5
 
2.8%
드 4
 
2.3%
사 4
 
2.3%
회 4
 
2.3%
Other values (82) 110
62.1%

소재지(도로명)
Text

UNIQUE 

Distinct27
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size348.0 B
2023-12-13T04:53:37.090995image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length56
Median length40
Mean length31.666667
Min length25

Characters and Unicode

Total characters855
Distinct characters85
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

Unique27 ?
Unique (%)100.0%

Sample

1st row서울특별시 광진구 동일로60길 32 (군자동)
2nd row서울특별시 광진구 워커힐로 177, 워커힐호텔(컨벤션) 지하1층 (광장동)
3rd row서울특별시 광진구 아차산로76길 27, 광나루현대아파트상가동 비1,2,3,10,15,16호 (광장동)
4th row서울특별시 광진구 동일로76가길 43 (중곡동)
5th row서울특별시 광진구 긴고랑로 73, 1층 (중곡동)
ValueCountFrequency (%)
서울특별시 27
 
16.1%
광진구 27
 
16.1%
1층 9
 
5.4%
자양동 7
 
4.2%
지하1층 5
 
3.0%
중곡동 5
 
3.0%
구의동 5
 
3.0%
2층 4
 
2.4%
군자동 3
 
1.8%
3층 3
 
1.8%
Other values (63) 73
43.5%
2023-12-13T04:53:37.540460image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
141
 
16.5%
동 39
 
4.6%
1 37
 
4.3%
광 34
 
4.0%
구 33
 
3.9%
, 31
 
3.6%
) 29
 
3.4%
( 28
 
3.3%
진 27
 
3.2%
시 27
 
3.2%
Other values (75) 429
50.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 491
57.4%
Space Separator 141
 
16.5%
Decimal Number 132
 
15.4%
Other Punctuation 31
 
3.6%
Close Punctuation 29
 
3.4%
Open Punctuation 28
 
3.3%
Dash Punctuation 2
 
0.2%
Uppercase Letter 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 39
 
7.9%
광 34
 
6.9%
구 33
 
6.7%
진 27
 
5.5%
시 27
 
5.5%
울 27
 
5.5%
로 27
 
5.5%
별 27
 
5.5%
특 27
 
5.5%
서 27
 
5.5%
Other values (59) 196
39.9%
Decimal Number
ValueCountFrequency (%)
1 37
28.0%
2 21
15.9%
3 20
15.2%
4 18
13.6%
0 9
 
6.8%
7 9
 
6.8%
5 7
 
5.3%
6 4
 
3.0%
8 4
 
3.0%
9 3
 
2.3%
Space Separator
ValueCountFrequency (%)
141
100.0%
Other Punctuation
ValueCountFrequency (%)
, 31
100.0%
Close Punctuation
ValueCountFrequency (%)
) 29
100.0%
Open Punctuation
ValueCountFrequency (%)
( 28
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%
Uppercase Letter
ValueCountFrequency (%)
A 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 491
57.4%
Common 363
42.5%
Latin 1
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 39
 
7.9%
광 34
 
6.9%
구 33
 
6.7%
진 27
 
5.5%
시 27
 
5.5%
울 27
 
5.5%
로 27
 
5.5%
별 27
 
5.5%
특 27
 
5.5%
서 27
 
5.5%
Other values (59) 196
39.9%
Common
ValueCountFrequency (%)
141
38.8%
1 37
 
10.2%
, 31
 
8.5%
) 29
 
8.0%
( 28
 
7.7%
2 21
 
5.8%
3 20
 
5.5%
4 18
 
5.0%
0 9
 
2.5%
7 9
 
2.5%
Other values (5) 20
 
5.5%
Latin
ValueCountFrequency (%)
A 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 491
57.4%
ASCII 364
42.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
141
38.7%
1 37
 
10.2%
, 31
 
8.5%
) 29
 
8.0%
( 28
 
7.7%
2 21
 
5.8%
3 20
 
5.5%
4 18
 
4.9%
0 9
 
2.5%
7 9
 
2.5%
Other values (6) 21
 
5.8%
Hangul
ValueCountFrequency (%)
동 39
 
7.9%
광 34
 
6.9%
구 33
 
6.7%
진 27
 
5.5%
시 27
 
5.5%
울 27
 
5.5%
로 27
 
5.5%
별 27
 
5.5%
특 27
 
5.5%
서 27
 
5.5%
Other values (59) 196
39.9%

소재지(지번)
Text

UNIQUE 

Distinct27
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size348.0 B
2023-12-13T04:53:37.778567image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length33
Median length27
Mean length23.037037
Min length18

Characters and Unicode

Total characters622
Distinct characters61
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique27 ?
Unique (%)100.0%

Sample

1st row서울특별시 광진구 군자동 93-14
2nd row서울특별시 광진구 광장동 22-1 워커힐호텔
3rd row서울특별시 광진구 광장동 567 광나루현대아파트
4th row서울특별시 광진구 중곡동 181-17
5th row서울특별시 광진구 중곡동 38-32
ValueCountFrequency (%)
서울특별시 27
21.4%
광진구 27
21.4%
자양동 7
 
5.6%
중곡동 6
 
4.8%
구의동 5
 
4.0%
화양동 3
 
2.4%
3층 3
 
2.4%
군자동 3
 
2.4%
1층 3
 
2.4%
지하1층 2
 
1.6%
Other values (38) 40
31.7%
2023-12-13T04:53:38.206148image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
124
19.9%
구 32
 
5.1%
광 30
 
4.8%
2 30
 
4.8%
1 30
 
4.8%
서 27
 
4.3%
특 27
 
4.3%
별 27
 
4.3%
시 27
 
4.3%
진 27
 
4.3%
Other values (51) 241
38.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 345
55.5%
Decimal Number 128
 
20.6%
Space Separator 124
 
19.9%
Dash Punctuation 24
 
3.9%
Other Punctuation 1
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 32
 
9.3%
광 30
 
8.7%
서 27
 
7.8%
특 27
 
7.8%
별 27
 
7.8%
시 27
 
7.8%
진 27
 
7.8%
울 27
 
7.8%
동 27
 
7.8%
층 11
 
3.2%
Other values (38) 83
24.1%
Decimal Number
ValueCountFrequency (%)
2 30
23.4%
1 30
23.4%
3 13
10.2%
0 10
 
7.8%
6 10
 
7.8%
9 8
 
6.2%
7 8
 
6.2%
4 7
 
5.5%
5 6
 
4.7%
8 6
 
4.7%
Space Separator
ValueCountFrequency (%)
124
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 24
100.0%
Other Punctuation
ValueCountFrequency (%)
, 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 345
55.5%
Common 277
44.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 32
 
9.3%
광 30
 
8.7%
서 27
 
7.8%
특 27
 
7.8%
별 27
 
7.8%
시 27
 
7.8%
진 27
 
7.8%
울 27
 
7.8%
동 27
 
7.8%
층 11
 
3.2%
Other values (38) 83
24.1%
Common
ValueCountFrequency (%)
124
44.8%
2 30
 
10.8%
1 30
 
10.8%
- 24
 
8.7%
3 13
 
4.7%
0 10
 
3.6%
6 10
 
3.6%
9 8
 
2.9%
7 8
 
2.9%
4 7
 
2.5%
Other values (3) 13
 
4.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 345
55.5%
ASCII 277
44.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
124
44.8%
2 30
 
10.8%
1 30
 
10.8%
- 24
 
8.7%
3 13
 
4.7%
0 10
 
3.6%
6 10
 
3.6%
9 8
 
2.9%
7 8
 
2.9%
4 7
 
2.5%
Other values (3) 13
 
4.7%
Hangul
ValueCountFrequency (%)
구 32
 
9.3%
광 30
 
8.7%
서 27
 
7.8%
특 27
 
7.8%
별 27
 
7.8%
시 27
 
7.8%
진 27
 
7.8%
울 27
 
7.8%
동 27
 
7.8%
층 11
 
3.2%
Other values (38) 83
24.1%

소재지전화
Text

MISSING 

Distinct21
Distinct (%)100.0%
Missing6
Missing (%)22.2%
Memory size348.0 B
2023-12-13T04:53:38.439952image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length11
Mean length11.571429
Min length11

Characters and Unicode

Total characters243
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

Unique21 ?
Unique (%)100.0%

Sample

1st row02-462-0001
2nd row02-453-0121
3rd row02-447-0407
4th row02-467-3500
5th row02-447-4560
ValueCountFrequency (%)
02-462-0001 1
 
4.8%
02-3453-6071 1
 
4.8%
02-466-5006 1
 
4.8%
02-499-8869 1
 
4.8%
02-457-1210 1
 
4.8%
02-931-4154 1
 
4.8%
070-8114-6680 1
 
4.8%
02-446-8112 1
 
4.8%
070-4809-7991 1
 
4.8%
070-7600-5656 1
 
4.8%
Other values (11) 11
52.4%
2023-12-13T04:53:38.795170image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 46
18.9%
- 42
17.3%
4 29
11.9%
2 27
11.1%
6 21
8.6%
1 19
7.8%
7 18
 
7.4%
5 13
 
5.3%
9 10
 
4.1%
8 10
 
4.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 201
82.7%
Dash Punctuation 42
 
17.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 46
22.9%
4 29
14.4%
2 27
13.4%
6 21
10.4%
1 19
9.5%
7 18
 
9.0%
5 13
 
6.5%
9 10
 
5.0%
8 10
 
5.0%
3 8
 
4.0%
Dash Punctuation
ValueCountFrequency (%)
- 42
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 243
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 46
18.9%
- 42
17.3%
4 29
11.9%
2 27
11.1%
6 21
8.6%
1 19
7.8%
7 18
 
7.4%
5 13
 
5.3%
9 10
 
4.1%
8 10
 
4.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 243
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 46
18.9%
- 42
17.3%
4 29
11.9%
2 27
11.1%
6 21
8.6%
1 19
7.8%
7 18
 
7.4%
5 13
 
5.3%
9 10
 
4.1%
8 10
 
4.1%

Correlations

2023-12-13T04:53:38.896189image/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

2023-12-13T04:53:35.925174image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T04:53:36.031670image/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
0식품제조가공업(주)한국미연식품연구소서울특별시 광진구 동일로60길 32 (군자동)서울특별시 광진구 군자동 93-1402-462-0001
1식품제조가공업워커힐식품서울특별시 광진구 워커힐로 177, 워커힐호텔(컨벤션) 지하1층 (광장동)서울특별시 광진구 광장동 22-1 워커힐호텔02-453-0121
2식품제조가공업김가네식품서울특별시 광진구 아차산로76길 27, 광나루현대아파트상가동 비1,2,3,10,15,16호 (광장동)서울특별시 광진구 광장동 567 광나루현대아파트02-447-0407
3식품제조가공업참존식품서울특별시 광진구 동일로76가길 43 (중곡동)서울특별시 광진구 중곡동 181-1702-467-3500
4식품제조가공업맛쭈서해쭈꾸미서울특별시 광진구 긴고랑로 73, 1층 (중곡동)서울특별시 광진구 중곡동 38-3202-447-4560
5식품제조가공업고원식품서울특별시 광진구 영화사로3길 50 (중곡동,1층)서울특별시 광진구 중곡동 86-30 1층02-463-7221
6식품제조가공업주식회사 지엠푸드서울특별시 광진구 구의강변로 35, 2층 (구의동)서울특별시 광진구 구의동 596-6 2층02-444-6616
7식품제조가공업최가커피서울특별시 광진구 자양로13가길 18, 지하1층 (자양동)서울특별시 광진구 자양동 625-15 지하1층02-454-7998
8식품제조가공업(주)일성푸드서울특별시 광진구 아차산로40길 22, 1층 (자양동)서울특별시 광진구 자양동 798-2 1층02-6216-5353
9식품제조가공업주식회사 이코복스커피로스터스서울특별시 광진구 광나루로40길 3, 1층 (구의동)서울특별시 광진구 구의동 229-10070-4911-2010
업종명업소명소재지(도로명)소재지(지번)소재지전화
17식품제조가공업주식회사 시드누아서울특별시 광진구 천호대로127길 44, 1층 (중곡동)서울특별시 광진구 중곡동 111-2 1층02-446-8112
18식품제조가공업낙원떡 거상서울특별시 광진구 광나루로44길 3, 4층 401호 (구의동, 경우빌딩)서울특별시 광진구 구의동 203-1 4층, 경우빌딩 401호070-8114-6680
19식품제조가공업선데이잼서울특별시 광진구 광나루로17길 14-5, 1층 (군자동)서울특별시 광진구 군자동 371-402-931-4154
20식품제조가공업주식회사 위크위크컴퍼니서울특별시 광진구 아차산로51길 23, 3층 (구의동)서울특별시 광진구 구의동 252-119 3층02-457-1210
21식품제조가공업폴리체서울특별시 광진구 동일로 144, 지하1층 (화양동)서울특별시 광진구 화양동 41-14 지하1층02-499-8869
22식품제조가공업체리커피서울특별시 광진구 능동로 284, 주2) 지하1층 (능동)서울특별시 광진구 능동 282-102-444-7222
23식품제조가공업보난자 커피 로스터리서울특별시 광진구 능동로 239, A동 1층 (군자동)서울특별시 광진구 군자동 270<NA>
24식품제조가공업어시스트 제1키친서울특별시 광진구 동일로2길 5, 지하1층 (자양동)서울특별시 광진구 자양동 206-3<NA>
25식품제조가공업칼레오 커피서울특별시 광진구 아차산로 291, 1층 (자양동)서울특별시 광진구 자양동 226-42<NA>
26식품제조가공업희망누리커피서울특별시 광진구 동일로28길 31, 중앙텔레콤 2층 (화양동)서울특별시 광진구 화양동 19-30 중앙텔레콤<NA>