Overview

Dataset statistics

Number of variables10
Number of observations62
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory5.0 KiB
Average record size in memory82.1 B

Variable types

Text2
Categorical8

Dataset

Description창원시 전통시장에 설치된 소방시설물(소화기설치여부, 비상경보설비설치여부, 자동화재탐지설비설치여부 등) 현황입니다.
URLhttps://www.data.go.kr/data/15047971/fileData.do

Alerts

자동화재탐지설비 설치여부 is highly overall correlated with 자체점검 대상여부High correlation
옥내소화전설비 설치여부 is highly overall correlated with 자체점검 대상여부High correlation
자체점검 대상여부 is highly overall correlated with 자동화재탐지설비 설치여부 and 1 other fieldsHigh correlation
소화기 설치여부 is highly imbalanced (88.1%)Imbalance
자동화재속보설비 설치여부 is highly imbalanced (54.1%)Imbalance
시장명 has unique valuesUnique
주소 has unique valuesUnique

Reproduction

Analysis started2023-12-12 09:15:48.706982
Analysis finished2023-12-12 09:15:49.785407
Duration1.08 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

시장명
Text

UNIQUE 

Distinct62
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size628.0 B
2023-12-12T18:15:50.003852image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length19
Median length18
Mean length6.9516129
Min length4

Characters and Unicode

Total characters431
Distinct characters111
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique62 ?
Unique (%)100.0%

Sample

1st row합성옛길시장
2nd row진동전통시장
3rd row마산역번개시장
4th row합성동상가
5th row경민인터빌상가
ValueCountFrequency (%)
합성옛길시장 1
 
1.6%
성원그랜드쇼핑 1
 
1.6%
그린피아상가 1
 
1.6%
대동그린코아상가 1
 
1.6%
대동중앙상가 1
 
1.6%
대동훼미리코아상가 1
 
1.6%
성원3차상가 1
 
1.6%
대방덕산1차상가 1
 
1.6%
동성올림픽타운 1
 
1.6%
롯데종합상가 1
 
1.6%
Other values (53) 53
84.1%
2023-12-12T18:15:50.525359image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
49
 
11.4%
46
 
10.7%
27
 
6.3%
27
 
6.3%
11
 
2.6%
11
 
2.6%
( 10
 
2.3%
) 10
 
2.3%
9
 
2.1%
8
 
1.9%
Other values (101) 223
51.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 404
93.7%
Open Punctuation 10
 
2.3%
Close Punctuation 10
 
2.3%
Decimal Number 5
 
1.2%
Space Separator 1
 
0.2%
Math Symbol 1
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
49
 
12.1%
46
 
11.4%
27
 
6.7%
27
 
6.7%
11
 
2.7%
11
 
2.7%
9
 
2.2%
8
 
2.0%
8
 
2.0%
7
 
1.7%
Other values (94) 201
49.8%
Decimal Number
ValueCountFrequency (%)
5 3
60.0%
3 1
 
20.0%
1 1
 
20.0%
Open Punctuation
ValueCountFrequency (%)
( 10
100.0%
Close Punctuation
ValueCountFrequency (%)
) 10
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%
Math Symbol
ValueCountFrequency (%)
+ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 404
93.7%
Common 27
 
6.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
49
 
12.1%
46
 
11.4%
27
 
6.7%
27
 
6.7%
11
 
2.7%
11
 
2.7%
9
 
2.2%
8
 
2.0%
8
 
2.0%
7
 
1.7%
Other values (94) 201
49.8%
Common
ValueCountFrequency (%)
( 10
37.0%
) 10
37.0%
5 3
 
11.1%
1
 
3.7%
+ 1
 
3.7%
3 1
 
3.7%
1 1
 
3.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 404
93.7%
ASCII 27
 
6.3%

Most frequent character per block

Hangul
ValueCountFrequency (%)
49
 
12.1%
46
 
11.4%
27
 
6.7%
27
 
6.7%
11
 
2.7%
11
 
2.7%
9
 
2.2%
8
 
2.0%
8
 
2.0%
7
 
1.7%
Other values (94) 201
49.8%
ASCII
ValueCountFrequency (%)
( 10
37.0%
) 10
37.0%
5 3
 
11.1%
1
 
3.7%
+ 1
 
3.7%
3 1
 
3.7%
1 1
 
3.7%

주소
Text

UNIQUE 

Distinct62
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size628.0 B
2023-12-12T18:15:50.929120image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length29
Median length26
Mean length23.032258
Min length15

Characters and Unicode

Total characters1428
Distinct characters83
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique62 ?
Unique (%)100.0%

Sample

1st row경상남도 창원시 마산회원구 합성동 732-7
2nd row경상남도 창원시 마산합포구 진동면 진동리 264-3
3rd row경상남도 창원시 마산회원구 석전2동 227-1
4th row경상남도 창원시 마산회원구 합성2동 125-3
5th row경상남도 창원시 마산회원구 양덕1동 15-27
ValueCountFrequency (%)
경상남도 62
19.4%
창원시 62
19.4%
성산구 17
 
5.3%
의창구 14
 
4.4%
마산회원구 13
 
4.1%
마산합포구 11
 
3.4%
진해구 5
 
1.6%
중앙동 3
 
0.9%
팔용동 2
 
0.6%
봉곡동 2
 
0.6%
Other values (121) 128
40.1%
2023-12-12T18:15:51.483884image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
257
18.0%
78
 
5.5%
76
 
5.3%
66
 
4.6%
66
 
4.6%
64
 
4.5%
63
 
4.4%
62
 
4.3%
62
 
4.3%
54
 
3.8%
Other values (73) 580
40.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 904
63.3%
Space Separator 257
 
18.0%
Decimal Number 222
 
15.5%
Dash Punctuation 37
 
2.6%
Open Punctuation 4
 
0.3%
Close Punctuation 4
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
78
 
8.6%
76
 
8.4%
66
 
7.3%
66
 
7.3%
64
 
7.1%
63
 
7.0%
62
 
6.9%
62
 
6.9%
54
 
6.0%
45
 
5.0%
Other values (59) 268
29.6%
Decimal Number
ValueCountFrequency (%)
1 47
21.2%
2 42
18.9%
3 27
12.2%
6 19
8.6%
4 19
8.6%
7 17
 
7.7%
8 17
 
7.7%
5 16
 
7.2%
9 10
 
4.5%
0 8
 
3.6%
Space Separator
ValueCountFrequency (%)
257
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 37
100.0%
Open Punctuation
ValueCountFrequency (%)
( 4
100.0%
Close Punctuation
ValueCountFrequency (%)
) 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 904
63.3%
Common 524
36.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
78
 
8.6%
76
 
8.4%
66
 
7.3%
66
 
7.3%
64
 
7.1%
63
 
7.0%
62
 
6.9%
62
 
6.9%
54
 
6.0%
45
 
5.0%
Other values (59) 268
29.6%
Common
ValueCountFrequency (%)
257
49.0%
1 47
 
9.0%
2 42
 
8.0%
- 37
 
7.1%
3 27
 
5.2%
6 19
 
3.6%
4 19
 
3.6%
7 17
 
3.2%
8 17
 
3.2%
5 16
 
3.1%
Other values (4) 26
 
5.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 904
63.3%
ASCII 524
36.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
257
49.0%
1 47
 
9.0%
2 42
 
8.0%
- 37
 
7.1%
3 27
 
5.2%
6 19
 
3.6%
4 19
 
3.6%
7 17
 
3.2%
8 17
 
3.2%
5 16
 
3.1%
Other values (4) 26
 
5.0%
Hangul
ValueCountFrequency (%)
78
 
8.6%
76
 
8.4%
66
 
7.3%
66
 
7.3%
64
 
7.1%
63
 
7.0%
62
 
6.9%
62
 
6.9%
54
 
6.0%
45
 
5.0%
Other values (59) 268
29.6%

소화기 설치여부
Categorical

IMBALANCE 

Distinct2
Distinct (%)3.2%
Missing0
Missing (%)0.0%
Memory size628.0 B
O
61 
X
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)1.6%

Sample

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

Common Values

ValueCountFrequency (%)
O 61
98.4%
X 1
 
1.6%

Length

2023-12-12T18:15:51.662311image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T18:15:51.772174image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
o 61
98.4%
x 1
 
1.6%
Distinct2
Distinct (%)3.2%
Missing0
Missing (%)0.0%
Memory size628.0 B
O
35 
X
27 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowX
2nd rowO
3rd rowX
4th rowX
5th rowX

Common Values

ValueCountFrequency (%)
O 35
56.5%
X 27
43.5%

Length

2023-12-12T18:15:51.885025image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T18:15:51.990885image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
o 35
56.5%
x 27
43.5%

자동화재탐지설비 설치여부
Categorical

HIGH CORRELATION 

Distinct2
Distinct (%)3.2%
Missing0
Missing (%)0.0%
Memory size628.0 B
O
55 
X

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowX
2nd rowO
3rd rowO
4th rowO
5th rowO

Common Values

ValueCountFrequency (%)
O 55
88.7%
X 7
 
11.3%

Length

2023-12-12T18:15:52.124800image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T18:15:52.229478image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
o 55
88.7%
x 7
 
11.3%
Distinct2
Distinct (%)3.2%
Missing0
Missing (%)0.0%
Memory size628.0 B
X
56 
O

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
X 56
90.3%
O 6
 
9.7%

Length

2023-12-12T18:15:52.344797image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T18:15:52.446946image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
x 56
90.3%
o 6
 
9.7%

옥내소화전설비 설치여부
Categorical

HIGH CORRELATION 

Distinct3
Distinct (%)4.8%
Missing0
Missing (%)0.0%
Memory size628.0 B
O
35 
X
20 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowX
2nd rowX
3rd rowO
4th rowX
5th rowO

Common Values

ValueCountFrequency (%)
O 35
56.5%
X 20
32.3%
7
 
11.3%

Length

2023-12-12T18:15:52.553052image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T18:15:52.947322image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
o 35
56.5%
x 20
32.3%
7
 
11.3%
Distinct4
Distinct (%)6.5%
Missing0
Missing (%)0.0%
Memory size628.0 B
X
29 
O
27 
0
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)1.6%

Sample

1st rowX
2nd rowX
3rd rowO
4th rowX
5th rowO

Common Values

ValueCountFrequency (%)
X 29
46.8%
O 27
43.5%
5
 
8.1%
0 1
 
1.6%

Length

2023-12-12T18:15:53.077826image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T18:15:53.208317image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
x 29
46.8%
o 27
43.5%
5
 
8.1%
0 1
 
1.6%
Distinct3
Distinct (%)4.8%
Missing0
Missing (%)0.0%
Memory size628.0 B
X
42 
O
17 
 
3

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowX
2nd rowO
3rd rowO
4th rowX
5th rowX

Common Values

ValueCountFrequency (%)
X 42
67.7%
O 17
27.4%
3
 
4.8%

Length

2023-12-12T18:15:53.407345image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T18:15:53.548349image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
x 42
67.7%
o 17
27.4%
3
 
4.8%

자체점검 대상여부
Categorical

HIGH CORRELATION 

Distinct2
Distinct (%)3.2%
Missing0
Missing (%)0.0%
Memory size628.0 B
O
53 
X

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowX
2nd rowX
3rd rowO
4th rowO
5th rowO

Common Values

ValueCountFrequency (%)
O 53
85.5%
X 9
 
14.5%

Length

2023-12-12T18:15:53.685918image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T18:15:53.817837image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
o 53
85.5%
x 9
 
14.5%

Correlations

2023-12-12T18:15:53.921268image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
시장명주소소화기 설치여부비상경보설비 설치여부자동화재탐지설비 설치여부자동화재속보설비 설치여부옥내소화전설비 설치여부스프링클러설비 설치여부연결살수설비 설치여부자체점검 대상여부
시장명1.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
주소1.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
소화기 설치여부1.0001.0001.0000.0000.1450.0000.0290.0000.0000.036
비상경보설비 설치여부1.0001.0000.0001.0000.1240.0000.2030.4230.0950.114
자동화재탐지설비 설치여부1.0001.0000.1450.1241.0000.0000.3060.4710.0000.845
자동화재속보설비 설치여부1.0001.0000.0000.0000.0001.0000.0000.0000.0440.000
옥내소화전설비 설치여부1.0001.0000.0290.2030.3060.0001.0000.3350.2370.364
스프링클러설비 설치여부1.0001.0000.0000.4230.4710.0000.3351.0000.3210.569
연결살수설비 설치여부1.0001.0000.0000.0950.0000.0440.2370.3211.0000.000
자체점검 대상여부1.0001.0000.0360.1140.8450.0000.3640.5690.0001.000
2023-12-12T18:15:54.081923image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
소화기 설치여부자동화재탐지설비 설치여부자체점검 대상여부옥내소화전설비 설치여부비상경보설비 설치여부스프링클러설비 설치여부연결살수설비 설치여부자동화재속보설비 설치여부
소화기 설치여부1.0000.0910.0160.0410.0000.0000.0000.000
자동화재탐지설비 설치여부0.0911.0000.6410.4880.0770.3120.0000.000
자체점검 대상여부0.0160.6411.0000.5740.0710.3830.0000.000
옥내소화전설비 설치여부0.0410.4880.5741.0000.3290.3200.0720.000
비상경보설비 설치여부0.0000.0770.0710.3291.0000.2780.1550.000
스프링클러설비 설치여부0.0000.3120.3830.3200.2781.0000.3060.000
연결살수설비 설치여부0.0000.0000.0000.0720.1550.3061.0000.068
자동화재속보설비 설치여부0.0000.0000.0000.0000.0000.0000.0681.000
2023-12-12T18:15:54.243715image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
소화기 설치여부비상경보설비 설치여부자동화재탐지설비 설치여부자동화재속보설비 설치여부옥내소화전설비 설치여부스프링클러설비 설치여부연결살수설비 설치여부자체점검 대상여부
소화기 설치여부1.0000.0000.0910.0000.0410.0000.0000.016
비상경보설비 설치여부0.0001.0000.0770.0000.3290.2780.1550.071
자동화재탐지설비 설치여부0.0910.0771.0000.0000.4880.3120.0000.641
자동화재속보설비 설치여부0.0000.0000.0001.0000.0000.0000.0680.000
옥내소화전설비 설치여부0.0410.3290.4880.0001.0000.3200.0720.574
스프링클러설비 설치여부0.0000.2780.3120.0000.3201.0000.3060.383
연결살수설비 설치여부0.0000.1550.0000.0680.0720.3061.0000.000
자체점검 대상여부0.0160.0710.6410.0000.5740.3830.0001.000

Missing values

2023-12-12T18:15:49.456150image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T18:15:49.702270image/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

시장명주소소화기 설치여부비상경보설비 설치여부자동화재탐지설비 설치여부자동화재속보설비 설치여부옥내소화전설비 설치여부스프링클러설비 설치여부연결살수설비 설치여부자체점검 대상여부
0합성옛길시장경상남도 창원시 마산회원구 합성동 732-7OXXXXXXX
1진동전통시장경상남도 창원시 마산합포구 진동면 진동리 264-3OOOXXXOX
2마산역번개시장경상남도 창원시 마산회원구 석전2동 227-1OXOXOOOO
3합성동상가경상남도 창원시 마산회원구 합성2동 125-3OXOXXXXO
4경민인터빌상가경상남도 창원시 마산회원구 양덕1동 15-27OXOXOOXO
5구암시장경상남도 창원시 마산회원구 구암2동 88-2OXOXOOXO
6구암현대시장경상남도 창원시 마산회원구 구암1동 18-2번지OXOXOXXO
7기산프라자경상남도 창원시 마산합포구 오동동 14길 29OXOXOOXO
8대동씨코아상가시장경상남도 창원시 마산합포구 해운동 37-4OXOXOOXO
9동마산시장경상남도 창원시 마산회원구 항성2동 326-1OOOXOXOO
시장명주소소화기 설치여부비상경보설비 설치여부자동화재탐지설비 설치여부자동화재속보설비 설치여부옥내소화전설비 설치여부스프링클러설비 설치여부연결살수설비 설치여부자체점검 대상여부
52북동공설시장경상남도 창원시 의창구 의안로 49번길 30OOOXOO
53창원기계공구상가경상남도 창원시 의창구 팔용동 16-1OOOXOXO
54창원캔버라상가경상남도 창원시 성산구 중앙대로 61번길 4OOOXOXO
55창원코아상가경상남도 창원시 성산구 상남 73-4OOOXOXO
56토월복합상가경상남도 창원시 의창구 신월동 68-1OOOXOXO
57도계시장상가경상남도 창원시 의창구 원의대로 69번길 20OOOOOXO
58봉곡시장경상남도 창원시 의창구 봉곡동 145-1XXXXXXXX
59소답시장경상남도 창원시 의창구 북동 246-6OXOOXXXX
60신촌시장(북면신촌시장(5일장))경상남도 창원시 의창구 북면 천주로 1144-8OOXXXXXO
61가술시장(대산가술시장(5일장))경상남도 창원시 의창구 대산면 가술길1번길 7-2OXXXXXXX