Overview

Dataset statistics

Number of variables4
Number of observations387
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory12.2 KiB
Average record size in memory32.3 B

Variable types

Text2
Categorical1
DateTime1

Dataset

Description제주도 내 육상양식장의 상호, 주소, 어종 정보 제공
Author제주특별자치도
URLhttps://www.data.go.kr/data/15056439/fileData.do

Alerts

데이터기준일자 has constant value ""Constant
어종 is highly imbalanced (78.0%)Imbalance

Reproduction

Analysis started2023-12-12 02:42:25.735211
Analysis finished2023-12-12 02:42:26.143645
Duration0.41 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

상호
Text

Distinct382
Distinct (%)98.7%
Missing0
Missing (%)0.0%
Memory size3.2 KiB
2023-12-12T11:42:26.382043image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length16
Median length15
Mean length6.129199
Min length2

Characters and Unicode

Total characters2372
Distinct characters208
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique377 ?
Unique (%)97.4%

Sample

1st row제2상지수산
2nd row대부수산
3rd row서현수산
4th row한길
5th row신도원수산
ValueCountFrequency (%)
영어조합법인 14
 
3.2%
어업회사법인 13
 
3.0%
주식회사 7
 
1.6%
어업회사법인㈜ 5
 
1.2%
원일수산 2
 
0.5%
영어법인 2
 
0.5%
해룡수산 2
 
0.5%
해양수산 2
 
0.5%
우성수산 2
 
0.5%
바다수산 2
 
0.5%
Other values (380) 382
88.2%
2023-12-12T11:42:26.897452image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
수 274
 
11.6%
산 274
 
11.6%
영 130
 
5.5%
어 107
 
4.5%
인 100
 
4.2%
법 96
 
4.0%
조 66
 
2.8%
합 59
 
2.5%
) 58
 
2.4%
( 58
 
2.4%
Other values (198) 1150
48.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2177
91.8%
Close Punctuation 58
 
2.4%
Open Punctuation 58
 
2.4%
Space Separator 46
 
1.9%
Other Symbol 27
 
1.1%
Decimal Number 5
 
0.2%
Other Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
수 274
 
12.6%
산 274
 
12.6%
영 130
 
6.0%
어 107
 
4.9%
인 100
 
4.6%
법 96
 
4.4%
조 66
 
3.0%
합 59
 
2.7%
해 43
 
2.0%
사 41
 
1.9%
Other values (191) 987
45.3%
Decimal Number
ValueCountFrequency (%)
2 4
80.0%
1 1
 
20.0%
Close Punctuation
ValueCountFrequency (%)
) 58
100.0%
Open Punctuation
ValueCountFrequency (%)
( 58
100.0%
Space Separator
ValueCountFrequency (%)
46
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 27
100.0%
Other Punctuation
ValueCountFrequency (%)
. 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2204
92.9%
Common 168
 
7.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
수 274
 
12.4%
산 274
 
12.4%
영 130
 
5.9%
어 107
 
4.9%
인 100
 
4.5%
법 96
 
4.4%
조 66
 
3.0%
합 59
 
2.7%
해 43
 
2.0%
사 41
 
1.9%
Other values (192) 1014
46.0%
Common
ValueCountFrequency (%)
) 58
34.5%
( 58
34.5%
46
27.4%
2 4
 
2.4%
1 1
 
0.6%
. 1
 
0.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2177
91.8%
ASCII 168
 
7.1%
None 27
 
1.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
수 274
 
12.6%
산 274
 
12.6%
영 130
 
6.0%
어 107
 
4.9%
인 100
 
4.6%
법 96
 
4.4%
조 66
 
3.0%
합 59
 
2.7%
해 43
 
2.0%
사 41
 
1.9%
Other values (191) 987
45.3%
ASCII
ValueCountFrequency (%)
) 58
34.5%
( 58
34.5%
46
27.4%
2 4
 
2.4%
1 1
 
0.6%
. 1
 
0.6%
None
ValueCountFrequency (%)
㈜ 27
100.0%

주소
Text

Distinct362
Distinct (%)93.5%
Missing0
Missing (%)0.0%
Memory size3.2 KiB
2023-12-12T11:42:27.183940image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length29
Median length28
Mean length25.175711
Min length20

Characters and Unicode

Total characters9743
Distinct characters96
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

Unique344 ?
Unique (%)88.9%

Sample

1st row제주특별자치도 서귀포시 대정읍 일과리 1896
2nd row제주특별자치도 서귀포시 대정읍 무릉리 3868-1
3rd row제주특별자치도 서귀포시 대정읍 영락리 2157
4th row제주특별자치도 서귀포시 대정읍 무릉리 3772
5th row제주특별자치도 서귀포시 대정읍 무릉리 4071-3
ValueCountFrequency (%)
제주특별자치도 387
20.1%
서귀포시 247
 
12.8%
제주시 140
 
7.3%
성산읍 82
 
4.3%
대정읍 76
 
4.0%
구좌읍 68
 
3.5%
해맞이해안로 53
 
2.8%
표선면 43
 
2.2%
남원읍 37
 
1.9%
한경면 29
 
1.5%
Other values (413) 762
39.6%
2023-12-12T11:42:27.573669image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1537
 
15.8%
주 535
 
5.5%
제 527
 
5.4%
도 391
 
4.0%
자 389
 
4.0%
시 387
 
4.0%
치 387
 
4.0%
별 387
 
4.0%
특 387
 
4.0%
1 302
 
3.1%
Other values (86) 4514
46.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 6649
68.2%
Space Separator 1537
 
15.8%
Decimal Number 1421
 
14.6%
Dash Punctuation 136
 
1.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 535
 
8.0%
제 527
 
7.9%
도 391
 
5.9%
자 389
 
5.9%
시 387
 
5.8%
치 387
 
5.8%
별 387
 
5.8%
특 387
 
5.8%
읍 299
 
4.5%
서 256
 
3.9%
Other values (74) 2704
40.7%
Decimal Number
ValueCountFrequency (%)
1 302
21.3%
3 188
13.2%
2 163
11.5%
8 152
10.7%
6 126
8.9%
0 111
 
7.8%
5 101
 
7.1%
4 95
 
6.7%
9 92
 
6.5%
7 91
 
6.4%
Space Separator
ValueCountFrequency (%)
1537
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 136
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 6649
68.2%
Common 3094
31.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 535
 
8.0%
제 527
 
7.9%
도 391
 
5.9%
자 389
 
5.9%
시 387
 
5.8%
치 387
 
5.8%
별 387
 
5.8%
특 387
 
5.8%
읍 299
 
4.5%
서 256
 
3.9%
Other values (74) 2704
40.7%
Common
ValueCountFrequency (%)
1537
49.7%
1 302
 
9.8%
3 188
 
6.1%
2 163
 
5.3%
8 152
 
4.9%
- 136
 
4.4%
6 126
 
4.1%
0 111
 
3.6%
5 101
 
3.3%
4 95
 
3.1%
Other values (2) 183
 
5.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 6649
68.2%
ASCII 3094
31.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1537
49.7%
1 302
 
9.8%
3 188
 
6.1%
2 163
 
5.3%
8 152
 
4.9%
- 136
 
4.4%
6 126
 
4.1%
0 111
 
3.6%
5 101
 
3.3%
4 95
 
3.1%
Other values (2) 183
 
5.9%
Hangul
ValueCountFrequency (%)
주 535
 
8.0%
제 527
 
7.9%
도 391
 
5.9%
자 389
 
5.9%
시 387
 
5.8%
치 387
 
5.8%
별 387
 
5.8%
특 387
 
5.8%
읍 299
 
4.5%
서 256
 
3.9%
Other values (74) 2704
40.7%

어종
Categorical

IMBALANCE 

Distinct19
Distinct (%)4.9%
Missing0
Missing (%)0.0%
Memory size3.2 KiB
넙치
342 
전복·해삼
 
13
해삼
 
5
넙치·강도다리
 
4
전복
 
4
Other values (14)
 
19

Length

Max length8
Median length2
Mean length2.2661499
Min length2

Unique

Unique10 ?
Unique (%)2.6%

Sample

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

Common Values

ValueCountFrequency (%)
넙치 342
88.4%
전복·해삼 13
 
3.4%
해삼 5
 
1.3%
넙치·강도다리 4
 
1.0%
전복 4
 
1.0%
넙치·돌돔 3
 
0.8%
갑각류 2
 
0.5%
도다리 2
 
0.5%
새우 2
 
0.5%
넙치·고등어 1
 
0.3%
Other values (9) 9
 
2.3%

Length

2023-12-12T11:42:27.717143image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
넙치 342
88.1%
전복·해삼 13
 
3.4%
해삼 5
 
1.3%
넙치·강도다리 4
 
1.0%
전복 4
 
1.0%
넙치·돌돔 3
 
0.8%
갑각류 2
 
0.5%
도다리 2
 
0.5%
새우 2
 
0.5%
전복·연체류 1
 
0.3%
Other values (10) 10
 
2.6%

데이터기준일자
Date

CONSTANT 

Distinct1
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size3.2 KiB
Minimum2020-02-24 00:00:00
Maximum2020-02-24 00:00:00
2023-12-12T11:42:27.833911image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T11:42:27.917334image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Missing values

2023-12-12T11:42:25.995563image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T11:42:26.092332image/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

상호주소어종데이터기준일자
0제2상지수산제주특별자치도 서귀포시 대정읍 일과리 1896넙치2020-02-24
1대부수산제주특별자치도 서귀포시 대정읍 무릉리 3868-1넙치2020-02-24
2서현수산제주특별자치도 서귀포시 대정읍 영락리 2157넙치2020-02-24
3한길제주특별자치도 서귀포시 대정읍 무릉리 3772넙치2020-02-24
4신도원수산제주특별자치도 서귀포시 대정읍 무릉리 4071-3넙치2020-02-24
5대양영어법인제주특별자치도 서귀포시 대정읍 영락리 2155넙치2020-02-24
6영어조합법인한창제주특별자치도 서귀포시 대정읍 무릉리 3789넙치·고등어2020-02-24
7영어조합법인한송제주특별자치도 서귀포시 대정읍 무릉리 3790넙치2020-02-24
8무릉수산제주특별자치도 서귀포시 대정읍 무릉리 3898-7넙치2020-02-24
9대희수산제주특별자치도 서귀포시 대정읍 영락리 2130-8넙치2020-02-24
상호주소어종데이터기준일자
377용수수산제주특별자치도 제주시 한경면 한경해안로 220전복·해삼2020-02-24
378청정해수산제주특별자치도 제주시 한경면 두모1길 106전복·해삼2020-02-24
379내도바다산업(영)제주특별자치도 제주시 일주서로 7335-7전복·해삼2020-02-24
380(영)제주바다양식제주특별자치도 제주시 일주서로 7335-7전복·해삼2020-02-24
381(영)삼양바다산업제주특별자치도 제주시 일주서로 7335-7전복·해삼2020-02-24
382제주바다전복(영)제주특별자치도 제주시 일주서로 7335-7전복·해삼2020-02-24
383제주시대형바다전복(영)제주특별자치도 제주시 일주서로 7335-7전복·해삼2020-02-24
384어업회사법인㈜제주왕새우제주특별자치도 제주시 한경면 용수길 150-89갑각류2020-02-24
385발닥새우(영)제주특별자치도 제주시 원당로15길 24-11갑각류2020-02-24
386(영)제주촌제주특별자치도 제주시 구좌읍 해맞이해안로 538갯지렁이2020-02-24