Overview

Dataset statistics

Number of variables6
Number of observations75
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory3.6 KiB
Average record size in memory49.8 B

Variable types

Categorical3
Text3

Dataset

Description제주특별자치도 내 유원시설업의 구분, 상호명, 소재지, 연락처 등 정보를 제공합니다.
Author제주데이터허브
URLhttps://www.jejudatahub.net/data/view/data/4

Alerts

데이터기준일자 has constant value ""Constant
비고 is highly imbalanced (53.7%)Imbalance
상호명 has unique valuesUnique

Reproduction

Analysis started2023-12-11 20:09:55.953291
Analysis finished2023-12-11 20:09:56.773766
Duration0.82 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

구분
Categorical

Distinct3
Distinct (%)4.0%
Missing0
Missing (%)0.0%
Memory size732.0 B
기타유원시설업
49 
일반유원시설업
22 
종합유원시설업
 
4

Length

Max length8
Median length8
Mean length7.6533333
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row종합유원시설업
2nd row종합유원시설업
3rd row종합유원시설업
4th row종합유원시설업
5th row일반유원시설업

Common Values

ValueCountFrequency (%)
기타유원시설업 49
65.3%
일반유원시설업 22
29.3%
종합유원시설업 4
 
5.3%

Length

2023-12-12T05:09:56.863514image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T05:09:57.010273image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
기타유원시설업 49
65.3%
일반유원시설업 22
29.3%
종합유원시설업 4
 
5.3%

상호명
Text

UNIQUE 

Distinct75
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size732.0 B
2023-12-12T05:09:57.297636image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length21
Median length14
Mean length8.5066667
Min length4

Characters and Unicode

Total characters638
Distinct characters208
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique75 ?
Unique (%)100.0%

Sample

1st row9.81 PARK JEJU
2nd row신화테마파크
3rd row신화워터파크
4th row뽀로로&타요 테마파크 제주
5th row한국마사회 제주지역본부
ValueCountFrequency (%)
키즈카페 9
 
7.7%
제주 2
 
1.7%
제주점 2
 
1.7%
노리파크 2
 
1.7%
㈜대한항공 2
 
1.7%
헬로방방 2
 
1.7%
리틀비틀 2
 
1.7%
슈슈봉봉 1
 
0.9%
제주노형점 1
 
0.9%
슈퍼윙스 1
 
0.9%
Other values (93) 93
79.5%
2023-12-12T05:09:57.853834image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
42
 
6.6%
26
 
4.1%
20
 
3.1%
16
 
2.5%
16
 
2.5%
15
 
2.4%
15
 
2.4%
14
 
2.2%
14
 
2.2%
13
 
2.0%
Other values (198) 447
70.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 544
85.3%
Space Separator 42
 
6.6%
Uppercase Letter 15
 
2.4%
Other Symbol 14
 
2.2%
Open Punctuation 8
 
1.3%
Close Punctuation 8
 
1.3%
Decimal Number 3
 
0.5%
Lowercase Letter 2
 
0.3%
Other Punctuation 2
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
26
 
4.8%
20
 
3.7%
16
 
2.9%
16
 
2.9%
15
 
2.8%
15
 
2.8%
14
 
2.6%
13
 
2.4%
13
 
2.4%
12
 
2.2%
Other values (177) 384
70.6%
Uppercase Letter
ValueCountFrequency (%)
R 3
20.0%
J 2
13.3%
A 2
13.3%
P 2
13.3%
V 1
 
6.7%
L 1
 
6.7%
Y 1
 
6.7%
U 1
 
6.7%
E 1
 
6.7%
K 1
 
6.7%
Decimal Number
ValueCountFrequency (%)
9 1
33.3%
1 1
33.3%
8 1
33.3%
Lowercase Letter
ValueCountFrequency (%)
n 1
50.0%
i 1
50.0%
Other Punctuation
ValueCountFrequency (%)
& 1
50.0%
. 1
50.0%
Space Separator
ValueCountFrequency (%)
42
100.0%
Other Symbol
ValueCountFrequency (%)
14
100.0%
Open Punctuation
ValueCountFrequency (%)
( 8
100.0%
Close Punctuation
ValueCountFrequency (%)
) 8
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 558
87.5%
Common 63
 
9.9%
Latin 17
 
2.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
26
 
4.7%
20
 
3.6%
16
 
2.9%
16
 
2.9%
15
 
2.7%
15
 
2.7%
14
 
2.5%
14
 
2.5%
13
 
2.3%
13
 
2.3%
Other values (178) 396
71.0%
Latin
ValueCountFrequency (%)
R 3
17.6%
J 2
11.8%
A 2
11.8%
P 2
11.8%
n 1
 
5.9%
i 1
 
5.9%
V 1
 
5.9%
L 1
 
5.9%
Y 1
 
5.9%
U 1
 
5.9%
Other values (2) 2
11.8%
Common
ValueCountFrequency (%)
42
66.7%
( 8
 
12.7%
) 8
 
12.7%
9 1
 
1.6%
& 1
 
1.6%
1 1
 
1.6%
8 1
 
1.6%
. 1
 
1.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 544
85.3%
ASCII 80
 
12.5%
None 14
 
2.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
42
52.5%
( 8
 
10.0%
) 8
 
10.0%
R 3
 
3.8%
J 2
 
2.5%
A 2
 
2.5%
P 2
 
2.5%
9 1
 
1.2%
n 1
 
1.2%
i 1
 
1.2%
Other values (10) 10
 
12.5%
Hangul
ValueCountFrequency (%)
26
 
4.8%
20
 
3.7%
16
 
2.9%
16
 
2.9%
15
 
2.8%
15
 
2.8%
14
 
2.6%
13
 
2.4%
13
 
2.4%
12
 
2.2%
Other values (177) 384
70.6%
None
ValueCountFrequency (%)
14
100.0%
Distinct74
Distinct (%)98.7%
Missing0
Missing (%)0.0%
Memory size732.0 B
2023-12-12T05:09:58.319766image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length33
Median length28
Mean length23.026667
Min length18

Characters and Unicode

Total characters1727
Distinct characters119
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

Unique73 ?
Unique (%)97.3%

Sample

1st row제주특별자치도 제주시 애월읍 천덕로 880-24
2nd row제주특별자치도 서귀포시 안덕면 신화역사로 304번길 98
3rd row제주특별자치도 서귀포시 안덕면 신화역사로 304번길 3898
4th row제주특별자치도 서귀포시 안덕면 병악로 269
5th row제주특별자치도 제주시 애월읍 평화로2144
ValueCountFrequency (%)
제주특별자치도 75
22.9%
제주시 39
 
11.9%
서귀포시 35
 
10.7%
안덕면 6
 
1.8%
중문관광로 4
 
1.2%
표선면 4
 
1.2%
조천읍 4
 
1.2%
애월읍 4
 
1.2%
35 3
 
0.9%
우정로 3
 
0.9%
Other values (129) 151
46.0%
2023-12-12T05:09:58.955294image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
282
16.3%
117
 
6.8%
115
 
6.7%
77
 
4.5%
75
 
4.3%
75
 
4.3%
75
 
4.3%
75
 
4.3%
75
 
4.3%
62
 
3.6%
Other values (109) 699
40.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1176
68.1%
Space Separator 282
 
16.3%
Decimal Number 254
 
14.7%
Dash Punctuation 15
 
0.9%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
117
 
9.9%
115
 
9.8%
77
 
6.5%
75
 
6.4%
75
 
6.4%
75
 
6.4%
75
 
6.4%
75
 
6.4%
62
 
5.3%
38
 
3.2%
Other values (97) 392
33.3%
Decimal Number
ValueCountFrequency (%)
1 46
18.1%
2 39
15.4%
4 33
13.0%
3 25
9.8%
5 22
8.7%
6 21
8.3%
9 19
7.5%
8 19
7.5%
7 15
 
5.9%
0 15
 
5.9%
Space Separator
ValueCountFrequency (%)
282
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 15
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1176
68.1%
Common 551
31.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
117
 
9.9%
115
 
9.8%
77
 
6.5%
75
 
6.4%
75
 
6.4%
75
 
6.4%
75
 
6.4%
75
 
6.4%
62
 
5.3%
38
 
3.2%
Other values (97) 392
33.3%
Common
ValueCountFrequency (%)
282
51.2%
1 46
 
8.3%
2 39
 
7.1%
4 33
 
6.0%
3 25
 
4.5%
5 22
 
4.0%
6 21
 
3.8%
9 19
 
3.4%
8 19
 
3.4%
7 15
 
2.7%
Other values (2) 30
 
5.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1176
68.1%
ASCII 551
31.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
282
51.2%
1 46
 
8.3%
2 39
 
7.1%
4 33
 
6.0%
3 25
 
4.5%
5 22
 
4.0%
6 21
 
3.8%
9 19
 
3.4%
8 19
 
3.4%
7 15
 
2.7%
Other values (2) 30
 
5.4%
Hangul
ValueCountFrequency (%)
117
 
9.9%
115
 
9.8%
77
 
6.5%
75
 
6.4%
75
 
6.4%
75
 
6.4%
75
 
6.4%
75
 
6.4%
62
 
5.3%
38
 
3.2%
Other values (97) 392
33.3%
Distinct73
Distinct (%)97.3%
Missing0
Missing (%)0.0%
Memory size732.0 B
2023-12-12T05:09:59.247994image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length12.053333
Min length9

Characters and Unicode

Total characters904
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

Unique72 ?
Unique (%)96.0%

Sample

1st row1833-9810
2nd row064-908-6100
3rd row064-908-6000
4th row070-8147-3311
5th row064-786-8255
ValueCountFrequency (%)
010-0000-0000 3
 
4.0%
064-900-1566 1
 
1.3%
064-755-5800 1
 
1.3%
064-749-2221 1
 
1.3%
064-745-2233 1
 
1.3%
064-711-5544 1
 
1.3%
064-742-0863 1
 
1.3%
064-742-3700 1
 
1.3%
064-723-2467 1
 
1.3%
1833-9810 1
 
1.3%
Other values (63) 63
84.0%
2023-12-12T05:09:59.765162image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 182
20.1%
- 149
16.5%
4 100
11.1%
6 98
10.8%
7 98
10.8%
3 54
 
6.0%
8 52
 
5.8%
2 51
 
5.6%
5 42
 
4.6%
1 41
 
4.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 755
83.5%
Dash Punctuation 149
 
16.5%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 182
24.1%
4 100
13.2%
6 98
13.0%
7 98
13.0%
3 54
 
7.2%
8 52
 
6.9%
2 51
 
6.8%
5 42
 
5.6%
1 41
 
5.4%
9 37
 
4.9%
Dash Punctuation
ValueCountFrequency (%)
- 149
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 904
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 182
20.1%
- 149
16.5%
4 100
11.1%
6 98
10.8%
7 98
10.8%
3 54
 
6.0%
8 52
 
5.8%
2 51
 
5.6%
5 42
 
4.6%
1 41
 
4.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 904
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 182
20.1%
- 149
16.5%
4 100
11.1%
6 98
10.8%
7 98
10.8%
3 54
 
6.0%
8 52
 
5.8%
2 51
 
5.6%
5 42
 
4.6%
1 41
 
4.5%

비고
Categorical

IMBALANCE 

Distinct3
Distinct (%)4.0%
Missing0
Missing (%)0.0%
Memory size732.0 B
특이사항없음
62 
휴업
12 
기구 운행정지
 
1

Length

Max length7
Median length6
Mean length5.3733333
Min length2

Unique

Unique1 ?
Unique (%)1.3%

Sample

1st row특이사항없음
2nd row특이사항없음
3rd row휴업
4th row특이사항없음
5th row특이사항없음

Common Values

ValueCountFrequency (%)
특이사항없음 62
82.7%
휴업 12
 
16.0%
기구 운행정지 1
 
1.3%

Length

2023-12-12T05:09:59.971439image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T05:10:00.126303image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
특이사항없음 62
81.6%
휴업 12
 
15.8%
기구 1
 
1.3%
운행정지 1
 
1.3%

데이터기준일자
Categorical

CONSTANT 

Distinct1
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Memory size732.0 B
2020-04-30
75 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2020-04-30
2nd row2020-04-30
3rd row2020-04-30
4th row2020-04-30
5th row2020-04-30

Common Values

ValueCountFrequency (%)
2020-04-30 75
100.0%

Length

2023-12-12T05:10:00.267159image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T05:10:00.638051image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2020-04-30 75
100.0%

Correlations

2023-12-12T05:10:00.722983image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
구분상호명소재지연락처비고
구분1.0001.0000.8390.8740.579
상호명1.0001.0001.0001.0001.000
소재지0.8391.0001.0000.9981.000
연락처0.8741.0000.9981.0000.659
비고0.5791.0001.0000.6591.000
2023-12-12T05:10:00.825973image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
비고구분
비고1.0000.255
구분0.2551.000
2023-12-12T05:10:00.922796image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
구분비고
구분1.0000.255
비고0.2551.000

Missing values

2023-12-12T05:09:56.609485image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T05:09:56.725342image/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

구분상호명소재지연락처비고데이터기준일자
0종합유원시설업9.81 PARK JEJU제주특별자치도 제주시 애월읍 천덕로 880-241833-9810특이사항없음2020-04-30
1종합유원시설업신화테마파크제주특별자치도 서귀포시 안덕면 신화역사로 304번길 98064-908-6100특이사항없음2020-04-30
2종합유원시설업신화워터파크제주특별자치도 서귀포시 안덕면 신화역사로 304번길 3898064-908-6000휴업2020-04-30
3종합유원시설업뽀로로&타요 테마파크 제주제주특별자치도 서귀포시 안덕면 병악로 269070-8147-3311특이사항없음2020-04-30
4일반유원시설업한국마사회 제주지역본부제주특별자치도 제주시 애월읍 평화로2144064-786-8255특이사항없음2020-04-30
5일반유원시설업(주)더원(에코랜드)제주특별자치도 제주시 조천읍 번영로1278-169064-802-8020특이사항없음2020-04-30
6일반유원시설업㈜재밋섬파크(재밋섬)제주특별자치도 제주시 중앙로14길18064-757-0500휴업2020-04-30
7일반유원시설업제주레일파크(주)제주특별자치도 제주시구좌읍 용눈이오름로 641064-783-0033특이사항없음2020-04-30
8일반유원시설업하늘만큼 땅만큼제주특별자치도 제주시 애월읍 가문동상 4길 5064-901-8588특이사항없음2020-04-30
9일반유원시설업한국공항㈜제주민속촌제주특별자치도 서귀포시 표선면 민속해안로 631-34064-787-4501기구 운행정지2020-04-30
구분상호명소재지연락처비고데이터기준일자
65기타유원시설업미르봉봉키즈빌제주특별자치도 서귀포시 서호중로 86064-738-3386특이사항없음2020-04-30
66기타유원시설업소꿉놀이 키즈카페제주특별자치도 서귀포시 토평서로 11번길 150064-732-9930특이사항없음2020-04-30
67기타유원시설업리틀비틀 모슬포점제주특별자치도 서귀포시 대정읍 하모중앙로 48064-792-2345특이사항없음2020-04-30
68기타유원시설업슈퍼키즈 스카이방방제주특별자치도 서귀포시 대청로33064-738-1022특이사항없음2020-04-30
69기타유원시설업드르쿰다in성산제주특별자치도 서귀포시 성산읍 섭지코지로25번길 64010-0000-0000특이사항없음2020-04-30
70기타유원시설업㈜케이스포츠가인볼링센터제주특별자치도 서귀포시 중문관광로 72번길 35064-739-6789특이사항없음2020-04-30
71기타유원시설업롯데호텔제주중문 챔피언R제주특별자치도 서귀포시 중문관광로72번길 35064-739-0970특이사항없음2020-04-30
72기타유원시설업리틀비틀 키즈카페 서귀포점제주특별자치도 서귀포시 이어도로 1059070-4312-0112특이사항없음2020-04-30
73기타유원시설업㈜대승인터컴제주특별자치도 서귀포시 표선면 번영로 2644010-0000-0000특이사항없음2020-04-30
74기타유원시설업제주우주항공박물관제주특별자치도 서귀포시 안덕면 녹차분재로 218064-800-2035특이사항없음2020-04-30