Overview

Dataset statistics

Number of variables5
Number of observations220
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory8.7 KiB
Average record size in memory40.6 B

Variable types

Categorical2
Text3

Dataset

Description2022년 11월말 기준 경남도내 유원시설업 현황(업체명, 소재지, 유기기구수, 업종 면적등의 데이를 포함하고있습니다.)
Author경상남도
URLhttps://bigdata.gyeongnam.go.kr/index.gn?menuCd=DOM_000000114002001000&publicdatapk=15056397

Alerts

업종 is highly imbalanced (56.5%)Imbalance

Reproduction

Analysis started2023-12-10 23:52:27.731884
Analysis finished2023-12-10 23:52:28.411552
Duration0.68 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

시군명
Categorical

Distinct18
Distinct (%)8.2%
Missing0
Missing (%)0.0%
Memory size1.8 KiB
창원시
45 
김해시
38 
거제시
22 
양산시
22 
밀양시
15 
Other values (13)
78 

Length

Max length4
Median length3
Mean length3.0318182
Min length3

Unique

Unique1 ?
Unique (%)0.5%

Sample

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

Common Values

ValueCountFrequency (%)
창원시 45
20.5%
김해시 38
17.3%
거제시 22
10.0%
양산시 22
10.0%
밀양시 15
 
6.8%
진주시 14
 
6.4%
산청군 11
 
5.0%
거창군 9
 
4.1%
고성군 7
 
3.2%
사천시 7
 
3.2%
Other values (8) 30
13.6%

Length

2023-12-11T08:52:28.475765image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
창원시 45
20.5%
김해시 38
17.3%
거제시 22
10.0%
양산시 22
10.0%
밀양시 15
 
6.8%
진주시 14
 
6.4%
산청군 11
 
5.0%
거창군 9
 
4.1%
사천시 7
 
3.2%
고성군 7
 
3.2%
Other values (8) 30
13.6%

업체명
Text

Distinct216
Distinct (%)98.2%
Missing0
Missing (%)0.0%
Memory size1.8 KiB
2023-12-11T08:52:28.746213image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length23
Median length17
Mean length7.9909091
Min length2

Characters and Unicode

Total characters1758
Distinct characters348
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique212 ?
Unique (%)96.4%

Sample

1st row시크릿쥬쥬 콩순이카페
2nd row더놀다 창원용호점
3rd row샤샤의 놀이터
4th row오네또해피랜드
5th row㈜잭슨나인스 창원
ValueCountFrequency (%)
키즈카페 8
 
2.5%
꼬마대통령 7
 
2.2%
캠핑장 5
 
1.6%
샤랄랄라 3
 
1.0%
관광농원 3
 
1.0%
킹콩점프 3
 
1.0%
펜션 3
 
1.0%
진주점 3
 
1.0%
주식회사 3
 
1.0%
헬로방방 2
 
0.6%
Other values (259) 275
87.3%
2023-12-11T08:52:29.165795image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
129
 
7.3%
점 51
 
2.9%
이 45
 
2.6%
스 42
 
2.4%
리 34
 
1.9%
키 30
 
1.7%
핑 28
 
1.6%
장 26
 
1.5%
즈 26
 
1.5%
마 25
 
1.4%
Other values (338) 1322
75.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1540
87.6%
Space Separator 129
 
7.3%
Uppercase Letter 38
 
2.2%
Open Punctuation 14
 
0.8%
Close Punctuation 14
 
0.8%
Other Symbol 11
 
0.6%
Decimal Number 11
 
0.6%
Other Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
점 51
 
3.3%
이 45
 
2.9%
스 42
 
2.7%
리 34
 
2.2%
키 30
 
1.9%
핑 28
 
1.8%
장 26
 
1.7%
즈 26
 
1.7%
마 25
 
1.6%
원 24
 
1.6%
Other values (308) 1209
78.5%
Uppercase Letter
ValueCountFrequency (%)
R 5
13.2%
D 3
 
7.9%
N 3
 
7.9%
U 3
 
7.9%
A 3
 
7.9%
M 2
 
5.3%
I 2
 
5.3%
O 2
 
5.3%
E 2
 
5.3%
V 2
 
5.3%
Other values (9) 11
28.9%
Decimal Number
ValueCountFrequency (%)
4 3
27.3%
2 3
27.3%
1 2
18.2%
3 1
 
9.1%
8 1
 
9.1%
9 1
 
9.1%
Space Separator
ValueCountFrequency (%)
129
100.0%
Open Punctuation
ValueCountFrequency (%)
( 14
100.0%
Close Punctuation
ValueCountFrequency (%)
) 14
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 11
100.0%
Other Punctuation
ValueCountFrequency (%)
& 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1551
88.2%
Common 169
 
9.6%
Latin 38
 
2.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
점 51
 
3.3%
이 45
 
2.9%
스 42
 
2.7%
리 34
 
2.2%
키 30
 
1.9%
핑 28
 
1.8%
장 26
 
1.7%
즈 26
 
1.7%
마 25
 
1.6%
원 24
 
1.5%
Other values (309) 1220
78.7%
Latin
ValueCountFrequency (%)
R 5
13.2%
D 3
 
7.9%
N 3
 
7.9%
U 3
 
7.9%
A 3
 
7.9%
M 2
 
5.3%
I 2
 
5.3%
O 2
 
5.3%
E 2
 
5.3%
V 2
 
5.3%
Other values (9) 11
28.9%
Common
ValueCountFrequency (%)
129
76.3%
( 14
 
8.3%
) 14
 
8.3%
4 3
 
1.8%
2 3
 
1.8%
1 2
 
1.2%
3 1
 
0.6%
& 1
 
0.6%
8 1
 
0.6%
9 1
 
0.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1540
87.6%
ASCII 207
 
11.8%
None 11
 
0.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
129
62.3%
( 14
 
6.8%
) 14
 
6.8%
R 5
 
2.4%
4 3
 
1.4%
D 3
 
1.4%
N 3
 
1.4%
U 3
 
1.4%
A 3
 
1.4%
2 3
 
1.4%
Other values (19) 27
 
13.0%
Hangul
ValueCountFrequency (%)
점 51
 
3.3%
이 45
 
2.9%
스 42
 
2.7%
리 34
 
2.2%
키 30
 
1.9%
핑 28
 
1.8%
장 26
 
1.7%
즈 26
 
1.7%
마 25
 
1.6%
원 24
 
1.6%
Other values (308) 1209
78.5%
None
ValueCountFrequency (%)
㈜ 11
100.0%

소재지
Text

Distinct217
Distinct (%)98.6%
Missing0
Missing (%)0.0%
Memory size1.8 KiB
2023-12-11T08:52:29.478282image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length56
Median length41
Mean length26.504545
Min length7

Characters and Unicode

Total characters5831
Distinct characters274
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique214 ?
Unique (%)97.3%

Sample

1st row경상남도 창원시 성산구 원이대로 320, 더시티세븐 S104호(대원동)
2nd row경상남도 창원시 성산구 용지로169번길 15, 701호(용호동, 레이크펄스)
3rd row경상남도 창원시 의창구 대봉로 14, 601호(봉림동, 두성빌딩)
4th row경상남도 창원시 의창구 동읍 주남로184번길 6
5th row경상남도 창원시 의창구 북면 신촌본포로 5-16, 305~311호, 401호, 405~408호
ValueCountFrequency (%)
경상남도 141
 
11.5%
창원시 45
 
3.7%
김해시 38
 
3.1%
거제시 22
 
1.8%
2층 16
 
1.3%
밀양시 15
 
1.2%
3층 15
 
1.2%
진주시 14
 
1.1%
마산합포구 13
 
1.1%
4층 11
 
0.9%
Other values (619) 898
73.1%
2023-12-11T08:52:29.930952image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1028
 
17.6%
1 240
 
4.1%
남 168
 
2.9%
상 168
 
2.9%
로 164
 
2.8%
동 156
 
2.7%
경 152
 
2.6%
2 151
 
2.6%
시 150
 
2.6%
도 147
 
2.5%
Other values (264) 3307
56.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3336
57.2%
Decimal Number 1052
 
18.0%
Space Separator 1028
 
17.6%
Other Punctuation 132
 
2.3%
Open Punctuation 100
 
1.7%
Close Punctuation 100
 
1.7%
Dash Punctuation 57
 
1.0%
Uppercase Letter 16
 
0.3%
Math Symbol 10
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
남 168
 
5.0%
상 168
 
5.0%
로 164
 
4.9%
동 156
 
4.7%
경 152
 
4.6%
시 150
 
4.5%
도 147
 
4.4%
층 82
 
2.5%
원 81
 
2.4%
길 78
 
2.3%
Other values (239) 1990
59.7%
Decimal Number
ValueCountFrequency (%)
1 240
22.8%
2 151
14.4%
0 122
11.6%
3 111
10.6%
4 99
9.4%
6 81
 
7.7%
5 81
 
7.7%
7 76
 
7.2%
8 52
 
4.9%
9 39
 
3.7%
Uppercase Letter
ValueCountFrequency (%)
B 5
31.2%
A 4
25.0%
I 2
 
12.5%
K 1
 
6.2%
R 1
 
6.2%
P 1
 
6.2%
S 1
 
6.2%
G 1
 
6.2%
Other Punctuation
ValueCountFrequency (%)
, 131
99.2%
: 1
 
0.8%
Space Separator
ValueCountFrequency (%)
1028
100.0%
Open Punctuation
ValueCountFrequency (%)
( 100
100.0%
Close Punctuation
ValueCountFrequency (%)
) 100
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 57
100.0%
Math Symbol
ValueCountFrequency (%)
~ 10
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3336
57.2%
Common 2479
42.5%
Latin 16
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
남 168
 
5.0%
상 168
 
5.0%
로 164
 
4.9%
동 156
 
4.7%
경 152
 
4.6%
시 150
 
4.5%
도 147
 
4.4%
층 82
 
2.5%
원 81
 
2.4%
길 78
 
2.3%
Other values (239) 1990
59.7%
Common
ValueCountFrequency (%)
1028
41.5%
1 240
 
9.7%
2 151
 
6.1%
, 131
 
5.3%
0 122
 
4.9%
3 111
 
4.5%
( 100
 
4.0%
) 100
 
4.0%
4 99
 
4.0%
6 81
 
3.3%
Other values (7) 316
 
12.7%
Latin
ValueCountFrequency (%)
B 5
31.2%
A 4
25.0%
I 2
 
12.5%
K 1
 
6.2%
R 1
 
6.2%
P 1
 
6.2%
S 1
 
6.2%
G 1
 
6.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3336
57.2%
ASCII 2495
42.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1028
41.2%
1 240
 
9.6%
2 151
 
6.1%
, 131
 
5.3%
0 122
 
4.9%
3 111
 
4.4%
( 100
 
4.0%
) 100
 
4.0%
4 99
 
4.0%
6 81
 
3.2%
Other values (15) 332
 
13.3%
Hangul
ValueCountFrequency (%)
남 168
 
5.0%
상 168
 
5.0%
로 164
 
4.9%
동 156
 
4.7%
경 152
 
4.6%
시 150
 
4.5%
도 147
 
4.4%
층 82
 
2.5%
원 81
 
2.4%
길 78
 
2.3%
Other values (239) 1990
59.7%

유기기구수_안전성검사대상과 비대상
Text

Distinct87
Distinct (%)39.5%
Missing0
Missing (%)0.0%
Memory size1.8 KiB
2023-12-11T08:52:30.252800image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length94
Median length57
Mean length6.4636364
Min length1

Characters and Unicode

Total characters1422
Distinct characters114
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique60 ?
Unique (%)27.3%

Sample

1st row2
2nd row8
3rd row1
4th row11
5th row17
ValueCountFrequency (%)
1 55
 
14.4%
1대 40
 
10.5%
2 33
 
8.6%
붕붕뜀틀 29
 
7.6%
2대 20
 
5.2%
16
 
4.2%
비대상기구수 11
 
2.9%
3 9
 
2.4%
4 7
 
1.8%
8 6
 
1.6%
Other values (102) 156
40.8%
2023-12-11T08:52:30.669193image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
184
 
12.9%
1 171
 
12.0%
대 110
 
7.7%
2 89
 
6.3%
붕 86
 
6.0%
) 58
 
4.1%
( 58
 
4.1%
뜀 42
 
3.0%
0 40
 
2.8%
틀 39
 
2.7%
Other values (104) 545
38.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 611
43.0%
Decimal Number 398
28.0%
Space Separator 184
 
12.9%
Close Punctuation 59
 
4.1%
Open Punctuation 59
 
4.1%
Other Punctuation 47
 
3.3%
Dash Punctuation 37
 
2.6%
Math Symbol 25
 
1.8%
Uppercase Letter 2
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
대 110
18.0%
붕 86
 
14.1%
뜀 42
 
6.9%
틀 39
 
6.4%
종 34
 
5.6%
기 18
 
2.9%
구 17
 
2.8%
치 15
 
2.5%
상 14
 
2.3%
비 13
 
2.1%
Other values (82) 223
36.5%
Decimal Number
ValueCountFrequency (%)
1 171
43.0%
2 89
22.4%
0 40
 
10.1%
3 27
 
6.8%
4 18
 
4.5%
5 17
 
4.3%
7 14
 
3.5%
8 11
 
2.8%
6 10
 
2.5%
9 1
 
0.3%
Other Punctuation
ValueCountFrequency (%)
, 21
44.7%
: 17
36.2%
/ 9
19.1%
Close Punctuation
ValueCountFrequency (%)
) 58
98.3%
] 1
 
1.7%
Open Punctuation
ValueCountFrequency (%)
( 58
98.3%
[ 1
 
1.7%
Uppercase Letter
ValueCountFrequency (%)
S 1
50.0%
D 1
50.0%
Space Separator
ValueCountFrequency (%)
184
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 37
100.0%
Math Symbol
ValueCountFrequency (%)
+ 25
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 809
56.9%
Hangul 611
43.0%
Latin 2
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
대 110
18.0%
붕 86
 
14.1%
뜀 42
 
6.9%
틀 39
 
6.4%
종 34
 
5.6%
기 18
 
2.9%
구 17
 
2.8%
치 15
 
2.5%
상 14
 
2.3%
비 13
 
2.1%
Other values (82) 223
36.5%
Common
ValueCountFrequency (%)
184
22.7%
1 171
21.1%
2 89
11.0%
) 58
 
7.2%
( 58
 
7.2%
0 40
 
4.9%
- 37
 
4.6%
3 27
 
3.3%
+ 25
 
3.1%
, 21
 
2.6%
Other values (10) 99
12.2%
Latin
ValueCountFrequency (%)
S 1
50.0%
D 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 811
57.0%
Hangul 611
43.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
184
22.7%
1 171
21.1%
2 89
11.0%
) 58
 
7.2%
( 58
 
7.2%
0 40
 
4.9%
- 37
 
4.6%
3 27
 
3.3%
+ 25
 
3.1%
, 21
 
2.6%
Other values (12) 101
12.5%
Hangul
ValueCountFrequency (%)
대 110
18.0%
붕 86
 
14.1%
뜀 42
 
6.9%
틀 39
 
6.4%
종 34
 
5.6%
기 18
 
2.9%
구 17
 
2.8%
치 15
 
2.5%
상 14
 
2.3%
비 13
 
2.1%
Other values (82) 223
36.5%

업종
Categorical

IMBALANCE 

Distinct3
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Memory size1.8 KiB
기타유원시설업
188 
일반유원시설업
27 
종합유원시설업
 
5

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
기타유원시설업 188
85.5%
일반유원시설업 27
 
12.3%
종합유원시설업 5
 
2.3%

Length

2023-12-11T08:52:30.795562image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T08:52:30.912815image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
기타유원시설업 188
85.5%
일반유원시설업 27
 
12.3%
종합유원시설업 5
 
2.3%

Correlations

2023-12-11T08:52:30.994553image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
시군명유기기구수_안전성검사대상과 비대상업종
시군명1.0000.9510.520
유기기구수_안전성검사대상과 비대상0.9511.0000.997
업종0.5200.9971.000
2023-12-11T08:52:31.104388image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
시군명업종
시군명1.0000.270
업종0.2701.000
2023-12-11T08:52:31.183053image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
시군명업종
시군명1.0000.270
업종0.2701.000

Missing values

2023-12-11T08:52:28.261513image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-11T08:52:28.367707image/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

시군명업체명소재지유기기구수_안전성검사대상과 비대상업종
0창원시시크릿쥬쥬 콩순이카페경상남도 창원시 성산구 원이대로 320, 더시티세븐 S104호(대원동)2기타유원시설업
1창원시더놀다 창원용호점경상남도 창원시 성산구 용지로169번길 15, 701호(용호동, 레이크펄스)8기타유원시설업
2창원시샤샤의 놀이터경상남도 창원시 의창구 대봉로 14, 601호(봉림동, 두성빌딩)1기타유원시설업
3창원시오네또해피랜드경상남도 창원시 의창구 동읍 주남로184번길 611기타유원시설업
4창원시㈜잭슨나인스 창원경상남도 창원시 의창구 북면 신촌본포로 5-16, 305~311호, 401호, 405~408호17기타유원시설업
5창원시키즈파크경상남도 창원시 의창구 창원대로397번길 6, 4층 (팔용동, 뉴코아아울렛)3기타유원시설업
6창원시타요 키즈카페 홈플러스 창원점경상남도 창원시 의창구 창원대로 415, 삼성홈플러스 4층(팔용동)7기타유원시설업
7창원시트리니티경상남도 창원시 의창구 북면 감계로110번길 54-7, 이엠프라자 6층1기타유원시설업
8창원시모리키즈카페경상남도 창원시 성산구 가음정로43번길 3, 403,404,405호 (가음동, 더원빌딩)1기타유원시설업
9창원시롯데백화점 창원점 플레이타임경상남도 창원시 성산구 상남로 121, 7층 (상남동, 롯데백화점창원점(신관))1기타유원시설업
시군명업체명소재지유기기구수_안전성검사대상과 비대상업종
210거창군거창창포원 키즈카페거창군 남상면 창포원길 21-11종(0종/1종,붕붕뜀틀 1개)기타유원시설업
211거창군봉스글램핑거창군 마리면 풍계1길 27-711종(0종/1종,붕붕뜀틀 1개)기타유원시설업
212거창군거창서핑파크거창군 위천면 거차1길 23-1817종(0종/17종)기타유원시설업
213거창군양지생태마을캠핑장거창군 마리면 진산길 1571종(0종/1종)기타유원시설업
214거창군달빛고운병곡캠핑장거창군 북상면 병곡리 768-42종(0종/2종,붕붕뜀틀 2개)기타유원시설업
215거창군부엉이 풀빌라펜션거창군 가북면 어인길 236-361종(0종/1종)기타유원시설업
216거창군참깨비체험휴양마을거창군 남하면 지산리 14271종(0종/1종)기타유원시설업
217합천군국보테마파크(합천루지)합천군 용주면 방곡리 산87-3번지200일반유원시설업
218합천군㈜사이다합천군 용주면 합천호수로 7572기타유원시설업
219합천군합천휴테마파크합천군 용주면 영상로 1721기타유원시설업