Overview

Dataset statistics

Number of variables5
Number of observations22
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.0 KiB
Average record size in memory48.0 B

Variable types

Numeric1
Text3
Categorical1

Dataset

Description- 제주도 내 마을 기업의 기업명과 주소, 사업 내용 정보를 제공합니다. - 데이터 제공처: 제주시
Author제주특별자치도 미래성장과
URLhttps://www.jejudatahub.net/data/view/data/937

Alerts

데이터 기준일 has constant value ""Constant
마을기업명 has unique valuesUnique
주소 has unique valuesUnique
사업 내용 has unique valuesUnique

Reproduction

Analysis started2023-12-11 19:46:02.865906
Analysis finished2023-12-11 19:46:03.796351
Duration0.93 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

지정 연도
Real number (ℝ)

Distinct10
Distinct (%)45.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2014.6818
Minimum2010
Maximum2020
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size330.0 B
2023-12-12T04:46:03.861341image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2010
5-th percentile2011
Q12012.25
median2013
Q32017.75
95-th percentile2019.95
Maximum2020
Range10
Interquartile range (IQR)5.5

Descriptive statistics

Standard deviation3.1980107
Coefficient of variation (CV)0.0015873528
Kurtosis-1.2707883
Mean2014.6818
Median Absolute Deviation (MAD)2
Skewness0.43356317
Sum44323
Variance10.227273
MonotonicityIncreasing
2023-12-12T04:46:04.006174image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
2013 6
27.3%
2012 3
13.6%
2011 2
 
9.1%
2017 2
 
9.1%
2018 2
 
9.1%
2019 2
 
9.1%
2020 2
 
9.1%
2010 1
 
4.5%
2014 1
 
4.5%
2015 1
 
4.5%
ValueCountFrequency (%)
2010 1
 
4.5%
2011 2
 
9.1%
2012 3
13.6%
2013 6
27.3%
2014 1
 
4.5%
2015 1
 
4.5%
2017 2
 
9.1%
2018 2
 
9.1%
2019 2
 
9.1%
2020 2
 
9.1%
ValueCountFrequency (%)
2020 2
 
9.1%
2019 2
 
9.1%
2018 2
 
9.1%
2017 2
 
9.1%
2015 1
 
4.5%
2014 1
 
4.5%
2013 6
27.3%
2012 3
13.6%
2011 2
 
9.1%
2010 1
 
4.5%

마을기업명
Text

UNIQUE 

Distinct22
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size308.0 B
2023-12-12T04:46:04.219645image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length19
Median length14.5
Mean length11.727273
Min length7

Characters and Unicode

Total characters258
Distinct characters94
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

Unique22 ?
Unique (%)100.0%

Sample

1st row우도영어조합법인
2nd row영농조합법인 벵듸
3rd row농업회사법인 덕천이모네 식품㈜
4th row앤씨푸드 영어조합법인
5th row농업회사법인 ㈜월령
ValueCountFrequency (%)
영농조합법인 8
 
18.6%
농업회사법인 4
 
9.3%
협동조합 3
 
7.0%
주식회사 2
 
4.7%
우도영어조합법인 1
 
2.3%
혼디모앙 1
 
2.3%
그리고내바다 1
 
2.3%
해마 1
 
2.3%
추자도영흥영어조합법인 1
 
2.3%
반딧불이마을영농조합법인 1
 
2.3%
Other values (20) 20
46.5%
2023-12-12T04:46:04.670698image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
21
 
8.1%
17
 
6.6%
17
 
6.6%
17
 
6.6%
16
 
6.2%
16
 
6.2%
14
 
5.4%
7
 
2.7%
6
 
2.3%
6
 
2.3%
Other values (84) 121
46.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 232
89.9%
Space Separator 21
 
8.1%
Other Symbol 3
 
1.2%
Open Punctuation 1
 
0.4%
Close Punctuation 1
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
17
 
7.3%
17
 
7.3%
17
 
7.3%
16
 
6.9%
16
 
6.9%
14
 
6.0%
7
 
3.0%
6
 
2.6%
6
 
2.6%
4
 
1.7%
Other values (80) 112
48.3%
Space Separator
ValueCountFrequency (%)
21
100.0%
Other Symbol
ValueCountFrequency (%)
3
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 235
91.1%
Common 23
 
8.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
17
 
7.2%
17
 
7.2%
17
 
7.2%
16
 
6.8%
16
 
6.8%
14
 
6.0%
7
 
3.0%
6
 
2.6%
6
 
2.6%
4
 
1.7%
Other values (81) 115
48.9%
Common
ValueCountFrequency (%)
21
91.3%
( 1
 
4.3%
) 1
 
4.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 232
89.9%
ASCII 23
 
8.9%
None 3
 
1.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
21
91.3%
( 1
 
4.3%
) 1
 
4.3%
Hangul
ValueCountFrequency (%)
17
 
7.3%
17
 
7.3%
17
 
7.3%
16
 
6.9%
16
 
6.9%
14
 
6.0%
7
 
3.0%
6
 
2.6%
6
 
2.6%
4
 
1.7%
Other values (80) 112
48.3%
None
ValueCountFrequency (%)
3
100.0%

주소
Text

UNIQUE 

Distinct22
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size308.0 B
2023-12-12T04:46:04.921380image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length23
Median length19.5
Mean length16.227273
Min length11

Characters and Unicode

Total characters357
Distinct characters78
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

Unique22 ?
Unique (%)100.0%

Sample

1st row제주시 우도면 안비양길 47-3
2nd row제주시 조천읍 선진길 7-10
3rd row제주시 구좌읍 덕평로 372
4th row제주시 한림읍 한림해안로 267-6
5th row제주시 한림읍 월령1길 11
ValueCountFrequency (%)
제주시 22
25.3%
한경면 7
 
8.0%
구좌읍 4
 
4.6%
애월읍 2
 
2.3%
한림읍 2
 
2.3%
9 2
 
2.3%
조천읍 2
 
2.3%
47 1
 
1.1%
신촌8길 1
 
1.1%
148 1
 
1.1%
Other values (43) 43
49.4%
2023-12-12T04:46:05.346307image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
65
18.2%
23
 
6.4%
22
 
6.2%
22
 
6.2%
2 14
 
3.9%
1 14
 
3.9%
13
 
3.6%
12
 
3.4%
10
 
2.8%
10
 
2.8%
Other values (68) 152
42.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 209
58.5%
Decimal Number 74
 
20.7%
Space Separator 65
 
18.2%
Dash Punctuation 7
 
2.0%
Other Punctuation 2
 
0.6%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
23
 
11.0%
22
 
10.5%
22
 
10.5%
13
 
6.2%
12
 
5.7%
10
 
4.8%
10
 
4.8%
9
 
4.3%
7
 
3.3%
5
 
2.4%
Other values (55) 76
36.4%
Decimal Number
ValueCountFrequency (%)
2 14
18.9%
1 14
18.9%
7 9
12.2%
3 8
10.8%
6 7
9.5%
4 7
9.5%
8 5
 
6.8%
0 4
 
5.4%
5 3
 
4.1%
9 3
 
4.1%
Space Separator
ValueCountFrequency (%)
65
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 7
100.0%
Other Punctuation
ValueCountFrequency (%)
, 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 209
58.5%
Common 148
41.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
23
 
11.0%
22
 
10.5%
22
 
10.5%
13
 
6.2%
12
 
5.7%
10
 
4.8%
10
 
4.8%
9
 
4.3%
7
 
3.3%
5
 
2.4%
Other values (55) 76
36.4%
Common
ValueCountFrequency (%)
65
43.9%
2 14
 
9.5%
1 14
 
9.5%
7 9
 
6.1%
3 8
 
5.4%
- 7
 
4.7%
6 7
 
4.7%
4 7
 
4.7%
8 5
 
3.4%
0 4
 
2.7%
Other values (3) 8
 
5.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 209
58.5%
ASCII 148
41.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
65
43.9%
2 14
 
9.5%
1 14
 
9.5%
7 9
 
6.1%
3 8
 
5.4%
- 7
 
4.7%
6 7
 
4.7%
4 7
 
4.7%
8 5
 
3.4%
0 4
 
2.7%
Other values (3) 8
 
5.4%
Hangul
ValueCountFrequency (%)
23
 
11.0%
22
 
10.5%
22
 
10.5%
13
 
6.2%
12
 
5.7%
10
 
4.8%
10
 
4.8%
9
 
4.3%
7
 
3.3%
5
 
2.4%
Other values (55) 76
36.4%

사업 내용
Text

UNIQUE 

Distinct22
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size308.0 B
2023-12-12T04:46:05.665171image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length16
Mean length12.727273
Min length6

Characters and Unicode

Total characters280
Distinct characters105
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

Unique22 ?
Unique (%)100.0%

Sample

1st row우도 모자반 명품화 사업
2nd row캠프촌 운영사업
3rd row전통 된장 등 장류 및 꿩엿 생산판매
4th row테우낚시체험 등
5th row선인장 비누 등 생산 판매
ValueCountFrequency (%)
9
 
11.0%
판매 8
 
9.8%
4
 
4.9%
제조 4
 
4.9%
생산 4
 
4.9%
딸기 2
 
2.4%
가공판매 2
 
2.4%
생산판매 2
 
2.4%
묘종 1
 
1.2%
재배 1
 
1.2%
Other values (45) 45
54.9%
2023-12-12T04:46:06.385698image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
60
21.4%
14
 
5.0%
13
 
4.6%
11
 
3.9%
9
 
3.2%
9
 
3.2%
8
 
2.9%
6
 
2.1%
6
 
2.1%
5
 
1.8%
Other values (95) 139
49.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 215
76.8%
Space Separator 60
 
21.4%
Other Punctuation 3
 
1.1%
Open Punctuation 1
 
0.4%
Close Punctuation 1
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
14
 
6.5%
13
 
6.0%
11
 
5.1%
9
 
4.2%
9
 
4.2%
8
 
3.7%
6
 
2.8%
6
 
2.8%
5
 
2.3%
4
 
1.9%
Other values (91) 130
60.5%
Space Separator
ValueCountFrequency (%)
60
100.0%
Other Punctuation
ValueCountFrequency (%)
, 3
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 215
76.8%
Common 65
 
23.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
14
 
6.5%
13
 
6.0%
11
 
5.1%
9
 
4.2%
9
 
4.2%
8
 
3.7%
6
 
2.8%
6
 
2.8%
5
 
2.3%
4
 
1.9%
Other values (91) 130
60.5%
Common
ValueCountFrequency (%)
60
92.3%
, 3
 
4.6%
( 1
 
1.5%
) 1
 
1.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 215
76.8%
ASCII 65
 
23.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
60
92.3%
, 3
 
4.6%
( 1
 
1.5%
) 1
 
1.5%
Hangul
ValueCountFrequency (%)
14
 
6.5%
13
 
6.0%
11
 
5.1%
9
 
4.2%
9
 
4.2%
8
 
3.7%
6
 
2.8%
6
 
2.8%
5
 
2.3%
4
 
1.9%
Other values (91) 130
60.5%

데이터 기준일
Categorical

CONSTANT 

Distinct1
Distinct (%)4.5%
Missing0
Missing (%)0.0%
Memory size308.0 B
20211124
22 

Length

Max length8
Median length8
Mean length8
Min length8

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row20211124
2nd row20211124
3rd row20211124
4th row20211124
5th row20211124

Common Values

ValueCountFrequency (%)
20211124 22
100.0%

Length

2023-12-12T04:46:06.628574image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T04:46:06.790461image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
20211124 22
100.0%

Interactions

2023-12-12T04:46:03.519045image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T04:46:06.898851image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
지정 연도마을기업명주소사업 내용
지정 연도1.0001.0001.0001.000
마을기업명1.0001.0001.0001.000
주소1.0001.0001.0001.000
사업 내용1.0001.0001.0001.000

Missing values

2023-12-12T04:46:03.644479image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T04:46:03.755327image/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

지정 연도마을기업명주소사업 내용데이터 기준일
02010우도영어조합법인제주시 우도면 안비양길 47-3우도 모자반 명품화 사업20211124
12011영농조합법인 벵듸제주시 조천읍 선진길 7-10캠프촌 운영사업20211124
22011농업회사법인 덕천이모네 식품㈜제주시 구좌읍 덕평로 372전통 된장 등 장류 및 꿩엿 생산판매20211124
32012앤씨푸드 영어조합법인제주시 한림읍 한림해안로 267-6테우낚시체험 등20211124
42012농업회사법인 ㈜월령제주시 한림읍 월령1길 11선인장 비누 등 생산 판매20211124
52012조수리 촘지름 영농조합법인제주시 한경면 낙수로 12-6참기름 생산판매20211124
62013신엄새마을 영농조합법인제주시 애월읍 일주서로 6623토종 농수산물 생산가공20211124
72013한경농가주부모임 영농조합법인제주시 한경면 배낭골길 154제주돌담 호박즙 생산 판매20211124
82013농업회사법인 한라산산야초㈜제주시 한경면 중산간서로 3577산야초발효액 제조 및 판매20211124
92013농업회사법인 (주)고산제주시 한경면 용당길 175전통주제조 및 판매20211124
지정 연도마을기업명주소사업 내용데이터 기준일
122014아라주는딸기 영농조합법인제주시 영강길 148딸기 묘종 재배 및 딸기 생산 판매20211124
132015농부의아침 영농조합법인제주시 한경면 용금로 470농산물 생산 및 유통 가공사업20211124
142017제주본초 협동조합제주시 한경면 고산로2길 22-13누룩 전통주 제조 및 판매20211124
152017함께하는그날 협동조합제주시 월랑북2길 16, 101호면생리대 제조 및 판매20211124
162018송당상회영농조합법인제주시 구좌읍 중산간동로 2084-2비자열매 가공판매(비자기름)20211124
172018반딧불이마을영농조합법인제주시 한경면 연명로 348, 웃뜨르빛센터반딧불이 생태관광20211124
182019추자도영흥영어조합법인제주시 추자면 추자로 112수산물 가공판매20211124
192019주식회사 해마제주시 구좌읍 월정3길 47서핑, 패들보드 체험20211124
202020주식회사 그리고내바다제주시 애월읍 고내로9길 22톳부각 제조20211124
212020협동조합 모두락제주시 조천읍 신촌8길 6-3수공예품 개발 및 제작 판매20211124