Overview

Dataset statistics

Number of variables4
Number of observations35
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.2 KiB
Average record size in memory35.8 B

Variable types

Categorical1
Text2
DateTime1

Dataset

Description제주도 내 식품제조가공업 특별관리대상업체의 업종, 업체명, 주소 등 정보 제공
Author제주특별자치도
URLhttps://www.data.go.kr/data/15056152/fileData.do

Alerts

업종 has constant value ""Constant
데이터기준일자 has constant value ""Constant
업체명 has unique valuesUnique
주소 has unique valuesUnique

Reproduction

Analysis started2023-12-12 07:16:19.919758
Analysis finished2023-12-12 07:16:20.232430
Duration0.31 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

업종
Categorical

CONSTANT 

Distinct1
Distinct (%)2.9%
Missing0
Missing (%)0.0%
Memory size412.0 B
식품제조가공업
35 

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 35
100.0%

Length

2023-12-12T16:16:20.289703image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T16:16:20.376021image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
식품제조가공업 35
100.0%

업체명
Text

UNIQUE 

Distinct35
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size412.0 B
2023-12-12T16:16:20.569258image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length10
Median length8
Mean length5.9714286
Min length2

Characters and Unicode

Total characters209
Distinct characters101
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

Unique35 ?
Unique (%)100.0%

Sample

1st row(주)한울식품
2nd row거문오름식품
3rd row구구팔팔식품
4th row나우리떡집
5th row농촌희망상고지
ValueCountFrequency (%)
주)한울식품 1
 
2.6%
생활개선회 1
 
2.6%
정의고을식품 1
 
2.6%
제주동진식품 1
 
2.6%
제주스타치㈜ 1
 
2.6%
제주오가피 1
 
2.6%
제주할망포크 1
 
2.6%
조이몽베이커리 1
 
2.6%
와흘리 1
 
2.6%
저지미애수다뜰 1
 
2.6%
Other values (28) 28
73.7%
2023-12-12T16:16:21.047552image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
11
 
5.3%
10
 
4.8%
8
 
3.8%
6
 
2.9%
6
 
2.9%
6
 
2.9%
5
 
2.4%
5
 
2.4%
4
 
1.9%
4
 
1.9%
Other values (91) 144
68.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 201
96.2%
Space Separator 3
 
1.4%
Open Punctuation 2
 
1.0%
Close Punctuation 2
 
1.0%
Other Symbol 1
 
0.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
11
 
5.5%
10
 
5.0%
8
 
4.0%
6
 
3.0%
6
 
3.0%
6
 
3.0%
5
 
2.5%
5
 
2.5%
4
 
2.0%
4
 
2.0%
Other values (87) 136
67.7%
Space Separator
ValueCountFrequency (%)
3
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%
Other Symbol
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 202
96.7%
Common 7
 
3.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
11
 
5.4%
10
 
5.0%
8
 
4.0%
6
 
3.0%
6
 
3.0%
6
 
3.0%
5
 
2.5%
5
 
2.5%
4
 
2.0%
4
 
2.0%
Other values (88) 137
67.8%
Common
ValueCountFrequency (%)
3
42.9%
( 2
28.6%
) 2
28.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 201
96.2%
ASCII 7
 
3.3%
None 1
 
0.5%

Most frequent character per block

Hangul
ValueCountFrequency (%)
11
 
5.5%
10
 
5.0%
8
 
4.0%
6
 
3.0%
6
 
3.0%
6
 
3.0%
5
 
2.5%
5
 
2.5%
4
 
2.0%
4
 
2.0%
Other values (87) 136
67.7%
ASCII
ValueCountFrequency (%)
3
42.9%
( 2
28.6%
) 2
28.6%
None
ValueCountFrequency (%)
1
100.0%

주소
Text

UNIQUE 

Distinct35
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size412.0 B
2023-12-12T16:16:21.307207image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length30
Median length27
Mean length23.457143
Min length18

Characters and Unicode

Total characters821
Distinct characters82
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

Unique35 ?
Unique (%)100.0%

Sample

1st row제주특별자치도 제주시 도련2길 7-3
2nd row제주특별자치도 제주시 조천읍 선진길 7-10
3rd row제주특별자치도 제주시 전농로 49
4th row제주특별자치도 제주시 중앙로 573
5th row제주특별자치도 제주시 애월읍 곽봉로 79-35
ValueCountFrequency (%)
제주특별자치도 35
21.7%
제주시 25
 
15.5%
서귀포시 10
 
6.2%
애월읍 5
 
3.1%
조천읍 5
 
3.1%
표선면 4
 
2.5%
한경면 3
 
1.9%
일주서로 2
 
1.2%
한림읍 2
 
1.2%
24 2
 
1.2%
Other values (67) 68
42.2%
2023-12-12T16:16:21.701097image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
133
16.2%
64
 
7.8%
60
 
7.3%
39
 
4.8%
35
 
4.3%
35
 
4.3%
35
 
4.3%
35
 
4.3%
35
 
4.3%
1 24
 
2.9%
Other values (72) 326
39.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 558
68.0%
Space Separator 133
 
16.2%
Decimal Number 118
 
14.4%
Dash Punctuation 12
 
1.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
64
 
11.5%
60
 
10.8%
39
 
7.0%
35
 
6.3%
35
 
6.3%
35
 
6.3%
35
 
6.3%
35
 
6.3%
24
 
4.3%
19
 
3.4%
Other values (60) 177
31.7%
Decimal Number
ValueCountFrequency (%)
1 24
20.3%
3 16
13.6%
4 15
12.7%
2 14
11.9%
5 11
9.3%
7 10
8.5%
6 9
 
7.6%
8 8
 
6.8%
9 7
 
5.9%
0 4
 
3.4%
Space Separator
ValueCountFrequency (%)
133
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 12
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 558
68.0%
Common 263
32.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
64
 
11.5%
60
 
10.8%
39
 
7.0%
35
 
6.3%
35
 
6.3%
35
 
6.3%
35
 
6.3%
35
 
6.3%
24
 
4.3%
19
 
3.4%
Other values (60) 177
31.7%
Common
ValueCountFrequency (%)
133
50.6%
1 24
 
9.1%
3 16
 
6.1%
4 15
 
5.7%
2 14
 
5.3%
- 12
 
4.6%
5 11
 
4.2%
7 10
 
3.8%
6 9
 
3.4%
8 8
 
3.0%
Other values (2) 11
 
4.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 558
68.0%
ASCII 263
32.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
133
50.6%
1 24
 
9.1%
3 16
 
6.1%
4 15
 
5.7%
2 14
 
5.3%
- 12
 
4.6%
5 11
 
4.2%
7 10
 
3.8%
6 9
 
3.4%
8 8
 
3.0%
Other values (2) 11
 
4.2%
Hangul
ValueCountFrequency (%)
64
 
11.5%
60
 
10.8%
39
 
7.0%
35
 
6.3%
35
 
6.3%
35
 
6.3%
35
 
6.3%
35
 
6.3%
24
 
4.3%
19
 
3.4%
Other values (60) 177
31.7%

데이터기준일자
Date

CONSTANT 

Distinct1
Distinct (%)2.9%
Missing0
Missing (%)0.0%
Memory size412.0 B
Minimum2018-04-30 00:00:00
Maximum2018-04-30 00:00:00
2023-12-12T16:16:21.828905image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:16:21.939063image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Correlations

2023-12-12T16:16:22.031915image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
업체명주소
업체명1.0001.000
주소1.0001.000

Missing values

2023-12-12T16:16:20.111452image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T16:16:20.201391image/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

업종업체명주소데이터기준일자
0식품제조가공업(주)한울식품제주특별자치도 제주시 도련2길 7-32018-04-30
1식품제조가공업거문오름식품제주특별자치도 제주시 조천읍 선진길 7-102018-04-30
2식품제조가공업구구팔팔식품제주특별자치도 제주시 전농로 492018-04-30
3식품제조가공업나우리떡집제주특별자치도 제주시 중앙로 5732018-04-30
4식품제조가공업농촌희망상고지제주특별자치도 제주시 애월읍 곽봉로 79-352018-04-30
5식품제조가공업동남수산제주특별자치도 서귀포시 칠십리로 632018-04-30
6식품제조가공업동아식품제주특별자치도 서귀포시 중앙로48번길 14-62018-04-30
7식품제조가공업만나식품제주특별자치도 서귀포시 동홍중앙로7번길 82018-04-30
8식품제조가공업삼다바이오푸드제주특별자치도 제주시 한경면 일주서로 41872018-04-30
9식품제조가공업삼다식품제주특별자치도 제주시 애월읍 납읍남로3길 202018-04-30
업종업체명주소데이터기준일자
25식품제조가공업조이몽베이커리제주특별자치도 제주시 태성로 212018-04-30
26식품제조가공업주식회사 제주산소수제주특별자치도 서귀포시 표선면 사마행남로 132018-04-30
27식품제조가공업참새방앗간제주특별자치도 제주시 도남로 242018-04-30
28식품제조가공업청마루제주특별자치도 제주시 애월읍 고내로7길 452018-04-30
29식품제조가공업하루방축산유통제주특별자치도 제주시 한림읍 대림로 101-42018-04-30
30식품제조가공업한동제분소제주특별자치도 제주시 구좌읍 한동로 282018-04-30
31식품제조가공업한울영농조합법인제주특별자치도 제주시 조천읍 신촌남8길 1312018-04-30
32식품제조가공업할머니떡집제주특별자치도 서귀포시 중앙로71번길 122018-04-30
33식품제조가공업해오름(주)제주특별자치도 제주시 한경면 일주서로 4447-62018-04-30
34식품제조가공업효월 영농조합법인제주특별자치도 제주시 애월읍 화전안길 252018-04-30