Overview

Dataset statistics

Number of variables10
Number of observations159
Missing cells1
Missing cells (%)0.1%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory12.7 KiB
Average record size in memory81.8 B

Variable types

Numeric1
Categorical4
Text5

Dataset

Description경상남도 내 사회적 기업 현황 제공합니다.
Author경상남도
URLhttps://www.data.go.kr/data/15056478/fileData.do

Alerts

연번 is highly overall correlated with 시군High correlation
시군 is highly overall correlated with 연번High correlation
사업분야 is highly overall correlated with 분야별High correlation
분야별 is highly overall correlated with 사업분야High correlation
연번 has unique valuesUnique
기업명 has unique valuesUnique
대표자 has unique valuesUnique

Reproduction

Analysis started2023-12-12 07:16:21.641370
Analysis finished2023-12-12 07:16:22.953476
Duration1.31 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct159
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean80
Minimum1
Maximum159
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.5 KiB
2023-12-12T16:16:23.036614image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile8.9
Q140.5
median80
Q3119.5
95-th percentile151.1
Maximum159
Range158
Interquartile range (IQR)79

Descriptive statistics

Standard deviation46.043458
Coefficient of variation (CV)0.57554322
Kurtosis-1.2
Mean80
Median Absolute Deviation (MAD)40
Skewness0
Sum12720
Variance2120
MonotonicityStrictly increasing
2023-12-12T16:16:23.196202image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.6%
2 1
 
0.6%
103 1
 
0.6%
104 1
 
0.6%
105 1
 
0.6%
106 1
 
0.6%
107 1
 
0.6%
108 1
 
0.6%
109 1
 
0.6%
110 1
 
0.6%
Other values (149) 149
93.7%
ValueCountFrequency (%)
1 1
0.6%
2 1
0.6%
3 1
0.6%
4 1
0.6%
5 1
0.6%
6 1
0.6%
7 1
0.6%
8 1
0.6%
9 1
0.6%
10 1
0.6%
ValueCountFrequency (%)
159 1
0.6%
158 1
0.6%
157 1
0.6%
156 1
0.6%
155 1
0.6%
154 1
0.6%
153 1
0.6%
152 1
0.6%
151 1
0.6%
150 1
0.6%

시군
Categorical

HIGH CORRELATION 

Distinct17
Distinct (%)10.7%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
창원시
52 
양산시
20 
거창군
12 
김해시
12 
진주시
9 
Other values (12)
54 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique2 ?
Unique (%)1.3%

Sample

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

Common Values

ValueCountFrequency (%)
창원시 52
32.7%
양산시 20
 
12.6%
거창군 12
 
7.5%
김해시 12
 
7.5%
진주시 9
 
5.7%
사천시 8
 
5.0%
하동군 7
 
4.4%
산청군 6
 
3.8%
고성군 6
 
3.8%
함안군 6
 
3.8%
Other values (7) 21
13.2%

Length

2023-12-12T16:16:23.384157image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
창원시 52
32.7%
양산시 20
 
12.6%
거창군 12
 
7.5%
김해시 12
 
7.5%
진주시 9
 
5.7%
사천시 8
 
5.0%
하동군 7
 
4.4%
함안군 6
 
3.8%
고성군 6
 
3.8%
산청군 6
 
3.8%
Other values (7) 21
13.2%

기업명
Text

UNIQUE 

Distinct159
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
2023-12-12T16:16:23.563576image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length22
Median length18
Mean length9.9371069
Min length3

Characters and Unicode

Total characters1580
Distinct characters272
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique159 ?
Unique (%)100.0%

Sample

1st row에이씨씨프로젝트협동조합
2nd row창원손길협동조합
3rd row유한회사서화
4th row으뜸주식회사
5th row참일터협동조합
ValueCountFrequency (%)
주식회사 21
 
8.4%
㈜ 18
 
7.2%
유한회사 14
 
5.6%
유 7
 
2.8%
협동조합 4
 
1.6%
사회적협동조합 4
 
1.6%
영농조합법인 3
 
1.2%
사단법인 3
 
1.2%
사회복지법인 2
 
0.8%
사 2
 
0.8%
Other values (170) 171
68.7%
2023-12-12T16:16:23.937762image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
사 113
 
7.2%
회 92
 
5.8%
91
 
5.8%
주 58
 
3.7%
식 47
 
3.0%
조 35
 
2.2%
합 35
 
2.2%
인 35
 
2.2%
㈜ 34
 
2.2%
한 33
 
2.1%
Other values (262) 1007
63.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1402
88.7%
Space Separator 91
 
5.8%
Other Symbol 34
 
2.2%
Close Punctuation 22
 
1.4%
Open Punctuation 22
 
1.4%
Decimal Number 5
 
0.3%
Uppercase Letter 4
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
사 113
 
8.1%
회 92
 
6.6%
주 58
 
4.1%
식 47
 
3.4%
조 35
 
2.5%
합 35
 
2.5%
인 35
 
2.5%
한 33
 
2.4%
유 29
 
2.1%
법 28
 
2.0%
Other values (249) 897
64.0%
Decimal Number
ValueCountFrequency (%)
5 1
20.0%
6 1
20.0%
3 1
20.0%
0 1
20.0%
7 1
20.0%
Uppercase Letter
ValueCountFrequency (%)
Y 1
25.0%
M 1
25.0%
C 1
25.0%
A 1
25.0%
Space Separator
ValueCountFrequency (%)
91
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 34
100.0%
Close Punctuation
ValueCountFrequency (%)
) 22
100.0%
Open Punctuation
ValueCountFrequency (%)
( 22
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1436
90.9%
Common 140
 
8.9%
Latin 4
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
사 113
 
7.9%
회 92
 
6.4%
주 58
 
4.0%
식 47
 
3.3%
조 35
 
2.4%
합 35
 
2.4%
인 35
 
2.4%
㈜ 34
 
2.4%
한 33
 
2.3%
유 29
 
2.0%
Other values (250) 925
64.4%
Common
ValueCountFrequency (%)
91
65.0%
) 22
 
15.7%
( 22
 
15.7%
5 1
 
0.7%
6 1
 
0.7%
3 1
 
0.7%
0 1
 
0.7%
7 1
 
0.7%
Latin
ValueCountFrequency (%)
Y 1
25.0%
M 1
25.0%
C 1
25.0%
A 1
25.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1402
88.7%
ASCII 144
 
9.1%
None 34
 
2.2%

Most frequent character per block

Hangul
ValueCountFrequency (%)
사 113
 
8.1%
회 92
 
6.6%
주 58
 
4.1%
식 47
 
3.4%
조 35
 
2.5%
합 35
 
2.5%
인 35
 
2.5%
한 33
 
2.4%
유 29
 
2.1%
법 28
 
2.0%
Other values (249) 897
64.0%
ASCII
ValueCountFrequency (%)
91
63.2%
) 22
 
15.3%
( 22
 
15.3%
Y 1
 
0.7%
M 1
 
0.7%
C 1
 
0.7%
A 1
 
0.7%
5 1
 
0.7%
6 1
 
0.7%
3 1
 
0.7%
Other values (2) 2
 
1.4%
None
ValueCountFrequency (%)
㈜ 34
100.0%

주소
Text

Distinct157
Distinct (%)98.7%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
2023-12-12T16:16:24.221571image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length67
Median length40
Mean length23.515723
Min length11

Characters and Unicode

Total characters3739
Distinct characters227
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

Unique155 ?
Unique (%)97.5%

Sample

1st row창원시 마산합포구 동서북14길 24(동성동)
2nd row창원시 의창구 도계로83번길 6, 2층 202호
3rd row창원시 성산구 원이대로 393번길 25, 4층 4017호(반지동, 케이프타운)
4th row창원시 성산구 창원천로 288, 5층 503호(반지동, 대동아파트상가동)
5th row창원시 마산회원구 구암남10길 7
ValueCountFrequency (%)
창원시 53
 
6.8%
의창구 25
 
3.2%
양산시 20
 
2.6%
경상남도 17
 
2.2%
성산구 15
 
1.9%
김해시 13
 
1.7%
거창군 12
 
1.6%
1층 11
 
1.4%
2층 9
 
1.2%
거창읍 9
 
1.2%
Other values (452) 590
76.2%
2023-12-12T16:16:24.639926image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
615
 
16.4%
1 172
 
4.6%
시 119
 
3.2%
2 115
 
3.1%
창 114
 
3.0%
로 109
 
2.9%
동 108
 
2.9%
길 97
 
2.6%
3 85
 
2.3%
( 79
 
2.1%
Other values (217) 2126
56.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2116
56.6%
Decimal Number 730
 
19.5%
Space Separator 615
 
16.4%
Open Punctuation 80
 
2.1%
Close Punctuation 79
 
2.1%
Other Punctuation 66
 
1.8%
Dash Punctuation 43
 
1.2%
Uppercase Letter 9
 
0.2%
Math Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
시 119
 
5.6%
창 114
 
5.4%
로 109
 
5.2%
동 108
 
5.1%
길 97
 
4.6%
원 76
 
3.6%
산 74
 
3.5%
구 60
 
2.8%
남 51
 
2.4%
군 46
 
2.2%
Other values (190) 1262
59.6%
Decimal Number
ValueCountFrequency (%)
1 172
23.6%
2 115
15.8%
3 85
11.6%
5 74
10.1%
6 65
 
8.9%
0 60
 
8.2%
4 54
 
7.4%
8 39
 
5.3%
7 36
 
4.9%
9 30
 
4.1%
Uppercase Letter
ValueCountFrequency (%)
C 2
22.2%
A 2
22.2%
Y 1
11.1%
M 1
11.1%
B 1
11.1%
I 1
11.1%
T 1
11.1%
Other Punctuation
ValueCountFrequency (%)
, 61
92.4%
: 3
 
4.5%
. 2
 
3.0%
Open Punctuation
ValueCountFrequency (%)
( 79
98.8%
【 1
 
1.2%
Close Punctuation
ValueCountFrequency (%)
) 78
98.7%
】 1
 
1.3%
Space Separator
ValueCountFrequency (%)
615
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 43
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2116
56.6%
Common 1614
43.2%
Latin 9
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
시 119
 
5.6%
창 114
 
5.4%
로 109
 
5.2%
동 108
 
5.1%
길 97
 
4.6%
원 76
 
3.6%
산 74
 
3.5%
구 60
 
2.8%
남 51
 
2.4%
군 46
 
2.2%
Other values (190) 1262
59.6%
Common
ValueCountFrequency (%)
615
38.1%
1 172
 
10.7%
2 115
 
7.1%
3 85
 
5.3%
( 79
 
4.9%
) 78
 
4.8%
5 74
 
4.6%
6 65
 
4.0%
, 61
 
3.8%
0 60
 
3.7%
Other values (10) 210
 
13.0%
Latin
ValueCountFrequency (%)
C 2
22.2%
A 2
22.2%
Y 1
11.1%
M 1
11.1%
B 1
11.1%
I 1
11.1%
T 1
11.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2116
56.6%
ASCII 1621
43.4%
None 2
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
615
37.9%
1 172
 
10.6%
2 115
 
7.1%
3 85
 
5.2%
( 79
 
4.9%
) 78
 
4.8%
5 74
 
4.6%
6 65
 
4.0%
, 61
 
3.8%
0 60
 
3.7%
Other values (15) 217
 
13.4%
Hangul
ValueCountFrequency (%)
시 119
 
5.6%
창 114
 
5.4%
로 109
 
5.2%
동 108
 
5.1%
길 97
 
4.6%
원 76
 
3.6%
산 74
 
3.5%
구 60
 
2.8%
남 51
 
2.4%
군 46
 
2.2%
Other values (190) 1262
59.6%
None
ValueCountFrequency (%)
】 1
50.0%
【 1
50.0%

구분
Categorical

Distinct8
Distinct (%)5.0%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
인증
97 
예비
43 
부처형예비(고노부)
10 
부처형예비(고노부,중복)
 
4
부처형예비(산림청, 중복)
 
2
Other values (3)
 
3

Length

Max length14
Median length2
Mean length3.0943396
Min length2

Unique

Unique3 ?
Unique (%)1.9%

Sample

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

Common Values

ValueCountFrequency (%)
인증 97
61.0%
예비 43
27.0%
부처형예비(고노부) 10
 
6.3%
부처형예비(고노부,중복) 4
 
2.5%
부처형예비(산림청, 중복) 2
 
1.3%
부처형(여가부) 1
 
0.6%
부처형예비(농림축산식품부) 1
 
0.6%
부처형예비(산림청) 1
 
0.6%

Length

2023-12-12T16:16:24.784843image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T16:16:24.920958image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
인증 97
60.2%
예비 43
26.7%
부처형예비(고노부 10
 
6.2%
부처형예비(고노부,중복 4
 
2.5%
부처형예비(산림청 3
 
1.9%
중복 2
 
1.2%
부처형(여가부 1
 
0.6%
부처형예비(농림축산식품부 1
 
0.6%

사업분야
Categorical

HIGH CORRELATION 

Distinct22
Distinct (%)13.8%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
제조
26 
교육
21 
기타
16 
청소
15 
문화예술
12 
Other values (17)
69 

Length

Max length11
Median length2
Mean length2.6477987
Min length2

Unique

Unique6 ?
Unique (%)3.8%

Sample

1st row문화예술
2nd row가사간병
3rd row시설관리
4th row교육
5th row기타

Common Values

ValueCountFrequency (%)
제조 26
16.4%
교육 21
13.2%
기타 16
10.1%
청소 15
9.4%
문화예술 12
7.5%
가사간병 11
6.9%
유통 9
 
5.7%
건축 9
 
5.7%
재활용 8
 
5.0%
서비스 7
 
4.4%
Other values (12) 25
15.7%

Length

2023-12-12T16:16:25.065930image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
제조 26
16.2%
교육 21
13.1%
기타 16
10.0%
청소 15
9.4%
문화예술 12
7.5%
가사간병 11
6.9%
유통 9
 
5.6%
건축 9
 
5.6%
재활용 8
 
5.0%
서비스 7
 
4.4%
Other values (13) 26
16.2%

사업내용
Text

Distinct155
Distinct (%)97.5%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
2023-12-12T16:16:25.339409image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length66
Median length41
Mean length20.685535
Min length3

Characters and Unicode

Total characters3289
Distinct characters330
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

Unique151 ?
Unique (%)95.0%

Sample

1st row예술영화상영 및 전시
2nd row베이비시터 와 가사서비스
3rd row지역 생산품 농산물 가공 및 유통 유휴인력을 활용한 조경관리 (방제,제초,위생관리)사업
4th row교육, 지역사회서비스, 건강관리 사업, 홍보업, 임대랜탈업
5th row농산물 및 농산물가공 상품소매업, 음식업, 취약계층을 위한 일자리 및 서비스제공 사업, 조합간 협력을 위한 사업
ValueCountFrequency (%)
및 70
 
9.2%
판매 28
 
3.7%
등 23
 
3.0%
제조 14
 
1.8%
사업 13
 
1.7%
운영 13
 
1.7%
교육 12
 
1.6%
농산물 9
 
1.2%
서비스 8
 
1.1%
제작 6
 
0.8%
Other values (455) 563
74.2%
2023-12-12T16:16:25.864051image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
607
 
18.5%
, 150
 
4.6%
업 85
 
2.6%
사 73
 
2.2%
및 72
 
2.2%
제 50
 
1.5%
매 45
 
1.4%
소 44
 
1.3%
교 43
 
1.3%
판 43
 
1.3%
Other values (320) 2077
63.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2458
74.7%
Space Separator 607
 
18.5%
Other Punctuation 163
 
5.0%
Open Punctuation 24
 
0.7%
Close Punctuation 24
 
0.7%
Lowercase Letter 4
 
0.1%
Uppercase Letter 4
 
0.1%
Decimal Number 4
 
0.1%
Dash Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
업 85
 
3.5%
사 73
 
3.0%
및 72
 
2.9%
제 50
 
2.0%
매 45
 
1.8%
소 44
 
1.8%
교 43
 
1.7%
판 43
 
1.7%
조 43
 
1.7%
스 39
 
1.6%
Other values (303) 1921
78.2%
Other Punctuation
ValueCountFrequency (%)
, 150
92.0%
· 9
 
5.5%
/ 2
 
1.2%
. 1
 
0.6%
& 1
 
0.6%
Uppercase Letter
ValueCountFrequency (%)
D 2
50.0%
A 1
25.0%
O 1
25.0%
Decimal Number
ValueCountFrequency (%)
3 2
50.0%
1 1
25.0%
2 1
25.0%
Lowercase Letter
ValueCountFrequency (%)
p 3
75.0%
c 1
 
25.0%
Space Separator
ValueCountFrequency (%)
607
100.0%
Open Punctuation
ValueCountFrequency (%)
( 24
100.0%
Close Punctuation
ValueCountFrequency (%)
) 24
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2458
74.7%
Common 823
 
25.0%
Latin 8
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
업 85
 
3.5%
사 73
 
3.0%
및 72
 
2.9%
제 50
 
2.0%
매 45
 
1.8%
소 44
 
1.8%
교 43
 
1.7%
판 43
 
1.7%
조 43
 
1.7%
스 39
 
1.6%
Other values (303) 1921
78.2%
Common
ValueCountFrequency (%)
607
73.8%
, 150
 
18.2%
( 24
 
2.9%
) 24
 
2.9%
· 9
 
1.1%
3 2
 
0.2%
/ 2
 
0.2%
1 1
 
0.1%
2 1
 
0.1%
. 1
 
0.1%
Other values (2) 2
 
0.2%
Latin
ValueCountFrequency (%)
p 3
37.5%
D 2
25.0%
c 1
 
12.5%
A 1
 
12.5%
O 1
 
12.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2458
74.7%
ASCII 822
 
25.0%
None 9
 
0.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
607
73.8%
, 150
 
18.2%
( 24
 
2.9%
) 24
 
2.9%
p 3
 
0.4%
D 2
 
0.2%
3 2
 
0.2%
/ 2
 
0.2%
1 1
 
0.1%
2 1
 
0.1%
Other values (6) 6
 
0.7%
Hangul
ValueCountFrequency (%)
업 85
 
3.5%
사 73
 
3.0%
및 72
 
2.9%
제 50
 
2.0%
매 45
 
1.8%
소 44
 
1.8%
교 43
 
1.7%
판 43
 
1.7%
조 43
 
1.7%
스 39
 
1.6%
Other values (303) 1921
78.2%
None
ValueCountFrequency (%)
· 9
100.0%

분야별
Categorical

HIGH CORRELATION 

Distinct16
Distinct (%)10.1%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
식품류 가공/유통
36 
가사/간병/돌봄/보육
22 
교육/체험프로그램
22 
청소/방역/경비
19 
문화/공연/예술
12 
Other values (11)
48 

Length

Max length17
Median length15
Mean length8.3962264
Min length2

Unique

Unique5 ?
Unique (%)3.1%

Sample

1st row문화/공연/예술
2nd row가사/간병/돌봄/보육
3rd row식품류 가공/유통
4th row교육/체험프로그램
5th row식품류 가공/유통

Common Values

ValueCountFrequency (%)
식품류 가공/유통 36
22.6%
가사/간병/돌봄/보육 22
13.8%
교육/체험프로그램 22
13.8%
청소/방역/경비 19
11.9%
문화/공연/예술 12
 
7.5%
상품 제조/판매 12
 
7.5%
건축/주거환경 10
 
6.3%
인쇄/출판 8
 
5.0%
환경/재활용 7
 
4.4%
기타 4
 
2.5%
Other values (6) 7
 
4.4%

Length

2023-12-12T16:16:26.084549image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
식품류 36
16.8%
가공/유통 36
16.8%
가사/간병/돌봄/보육 22
10.3%
교육/체험프로그램 22
10.3%
청소/방역/경비 19
8.9%
문화/공연/예술 12
 
5.6%
상품 12
 
5.6%
제조/판매 12
 
5.6%
건축/주거환경 10
 
4.7%
인쇄/출판 8
 
3.7%
Other values (12) 25
11.7%

제품(재화,서비스)
Text

Distinct143
Distinct (%)90.5%
Missing1
Missing (%)0.6%
Memory size1.4 KiB
2023-12-12T16:16:26.394829image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length59
Median length26
Mean length13.012658
Min length2

Characters and Unicode

Total characters2056
Distinct characters321
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique134 ?
Unique (%)84.8%

Sample

1st row예술영화상영, 전시기획
2nd row베이비시터, 가사
3rd row농산물 가공 유통, 조경관리
4th row교육, 체험, 스포츠 아카데미, 행사용품 렌탈
5th row농산물 가공, 판매
ValueCountFrequency (%)
판매 20
 
3.8%
청소 16
 
3.0%
교육 14
 
2.6%
및 12
 
2.3%
간병 8
 
1.5%
제조 8
 
1.5%
돌봄 7
 
1.3%
체험 7
 
1.3%
농산물 7
 
1.3%
인쇄 6
 
1.1%
Other values (314) 425
80.2%
2023-12-12T16:16:26.896982image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
372
 
18.1%
, 153
 
7.4%
소 33
 
1.6%
판 28
 
1.4%
사 26
 
1.3%
물 25
 
1.2%
리 24
 
1.2%
교 23
 
1.1%
산 23
 
1.1%
지 23
 
1.1%
Other values (311) 1326
64.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1502
73.1%
Space Separator 372
 
18.1%
Other Punctuation 154
 
7.5%
Close Punctuation 11
 
0.5%
Open Punctuation 11
 
0.5%
Uppercase Letter 4
 
0.2%
Decimal Number 2
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
소 33
 
2.2%
판 28
 
1.9%
사 26
 
1.7%
물 25
 
1.7%
리 24
 
1.6%
교 23
 
1.5%
산 23
 
1.5%
지 23
 
1.5%
매 23
 
1.5%
가 22
 
1.5%
Other values (301) 1252
83.4%
Uppercase Letter
ValueCountFrequency (%)
P 2
50.0%
A 1
25.0%
O 1
25.0%
Other Punctuation
ValueCountFrequency (%)
, 153
99.4%
/ 1
 
0.6%
Decimal Number
ValueCountFrequency (%)
0 1
50.0%
8 1
50.0%
Space Separator
ValueCountFrequency (%)
372
100.0%
Close Punctuation
ValueCountFrequency (%)
) 11
100.0%
Open Punctuation
ValueCountFrequency (%)
( 11
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1502
73.1%
Common 550
 
26.8%
Latin 4
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
소 33
 
2.2%
판 28
 
1.9%
사 26
 
1.7%
물 25
 
1.7%
리 24
 
1.6%
교 23
 
1.5%
산 23
 
1.5%
지 23
 
1.5%
매 23
 
1.5%
가 22
 
1.5%
Other values (301) 1252
83.4%
Common
ValueCountFrequency (%)
372
67.6%
, 153
27.8%
) 11
 
2.0%
( 11
 
2.0%
/ 1
 
0.2%
0 1
 
0.2%
8 1
 
0.2%
Latin
ValueCountFrequency (%)
P 2
50.0%
A 1
25.0%
O 1
25.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1502
73.1%
ASCII 554
 
26.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
372
67.1%
, 153
27.6%
) 11
 
2.0%
( 11
 
2.0%
P 2
 
0.4%
/ 1
 
0.2%
0 1
 
0.2%
8 1
 
0.2%
A 1
 
0.2%
O 1
 
0.2%
Hangul
ValueCountFrequency (%)
소 33
 
2.2%
판 28
 
1.9%
사 26
 
1.7%
물 25
 
1.7%
리 24
 
1.6%
교 23
 
1.5%
산 23
 
1.5%
지 23
 
1.5%
매 23
 
1.5%
가 22
 
1.5%
Other values (301) 1252
83.4%

대표자
Text

UNIQUE 

Distinct159
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
2023-12-12T16:16:27.338560image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length10
Median length3
Mean length3.2704403
Min length3

Characters and Unicode

Total characters520
Distinct characters135
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

Unique159 ?
Unique (%)100.0%

Sample

1st row하효선
2nd row김향희
3rd row하현수
4th row문병선
5th row이산옥
ValueCountFrequency (%)
하효선 1
 
0.6%
오미숙 1
 
0.6%
황성미 1
 
0.6%
정천식 1
 
0.6%
노춘화 1
 
0.6%
이창수 1
 
0.6%
류순희 1
 
0.6%
황인열 1
 
0.6%
정용순 1
 
0.6%
황정우 1
 
0.6%
Other values (153) 153
93.9%
2023-12-12T16:16:27.968645image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
김 37
 
7.1%
정 24
 
4.6%
영 22
 
4.2%
이 21
 
4.0%
선 11
 
2.1%
순 11
 
2.1%
현 11
 
2.1%
진 11
 
2.1%
동 9
 
1.7%
수 9
 
1.7%
Other values (125) 354
68.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 501
96.3%
Other Punctuation 7
 
1.3%
Space Separator 4
 
0.8%
Close Punctuation 4
 
0.8%
Open Punctuation 4
 
0.8%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
김 37
 
7.4%
정 24
 
4.8%
영 22
 
4.4%
이 21
 
4.2%
선 11
 
2.2%
순 11
 
2.2%
현 11
 
2.2%
진 11
 
2.2%
동 9
 
1.8%
수 9
 
1.8%
Other values (120) 335
66.9%
Other Punctuation
ValueCountFrequency (%)
: 4
57.1%
, 3
42.9%
Space Separator
ValueCountFrequency (%)
4
100.0%
Close Punctuation
ValueCountFrequency (%)
) 4
100.0%
Open Punctuation
ValueCountFrequency (%)
( 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 501
96.3%
Common 19
 
3.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
김 37
 
7.4%
정 24
 
4.8%
영 22
 
4.4%
이 21
 
4.2%
선 11
 
2.2%
순 11
 
2.2%
현 11
 
2.2%
진 11
 
2.2%
동 9
 
1.8%
수 9
 
1.8%
Other values (120) 335
66.9%
Common
ValueCountFrequency (%)
4
21.1%
) 4
21.1%
: 4
21.1%
( 4
21.1%
, 3
15.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 501
96.3%
ASCII 19
 
3.7%

Most frequent character per block

Hangul
ValueCountFrequency (%)
김 37
 
7.4%
정 24
 
4.8%
영 22
 
4.4%
이 21
 
4.2%
선 11
 
2.2%
순 11
 
2.2%
현 11
 
2.2%
진 11
 
2.2%
동 9
 
1.8%
수 9
 
1.8%
Other values (120) 335
66.9%
ASCII
ValueCountFrequency (%)
4
21.1%
) 4
21.1%
: 4
21.1%
( 4
21.1%
, 3
15.8%

Interactions

2023-12-12T16:16:22.583308image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T16:16:28.107085image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번시군구분사업분야분야별
연번1.0000.9440.3400.3910.326
시군0.9441.0000.0000.2760.000
구분0.3400.0001.0000.7260.576
사업분야0.3910.2760.7261.0000.924
분야별0.3260.0000.5760.9241.000
2023-12-12T16:16:28.232829image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
사업분야시군분야별구분
사업분야1.0000.0790.5900.380
시군0.0791.0000.0000.000
분야별0.5900.0001.0000.231
구분0.3800.0000.2311.000
2023-12-12T16:16:28.361827image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번시군구분사업분야분야별
연번1.0000.7480.1690.1440.126
시군0.7481.0000.0000.0790.000
구분0.1690.0001.0000.3800.231
사업분야0.1440.0790.3801.0000.590
분야별0.1260.0000.2310.5901.000

Missing values

2023-12-12T16:16:22.714309image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T16:16:22.873615image/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

연번시군기업명주소구분사업분야사업내용분야별제품(재화,서비스)대표자
01창원시에이씨씨프로젝트협동조합창원시 마산합포구 동서북14길 24(동성동)예비문화예술예술영화상영 및 전시문화/공연/예술예술영화상영, 전시기획하효선
12창원시창원손길협동조합창원시 의창구 도계로83번길 6, 2층 202호예비가사간병베이비시터 와 가사서비스가사/간병/돌봄/보육베이비시터, 가사김향희
23창원시유한회사서화창원시 성산구 원이대로 393번길 25, 4층 4017호(반지동, 케이프타운)예비시설관리지역 생산품 농산물 가공 및 유통 유휴인력을 활용한 조경관리 (방제,제초,위생관리)사업식품류 가공/유통농산물 가공 유통, 조경관리하현수
34창원시으뜸주식회사창원시 성산구 창원천로 288, 5층 503호(반지동, 대동아파트상가동)예비교육교육, 지역사회서비스, 건강관리 사업, 홍보업, 임대랜탈업교육/체험프로그램교육, 체험, 스포츠 아카데미, 행사용품 렌탈문병선
45창원시참일터협동조합창원시 마산회원구 구암남10길 7예비기타농산물 및 농산물가공 상품소매업, 음식업, 취약계층을 위한 일자리 및 서비스제공 사업, 조합간 협력을 위한 사업식품류 가공/유통농산물 가공, 판매이산옥
56창원시주식회사문화제작소보듬창원시 성산구 대암로 256, 관리소 2층예비기타도서관 책 놀이 돌봄가사/간병/돌봄/보육도서관 책놀이, 돌봄김승자
67창원시(주)경남사회조사연구원창원시 의창구 용지로275번길 43예비서비스경남지역의 사회조사, 시장조사, 여론조사, 정책연구, 정부학술용역 등기타도내 사회조사, 여론조사, 정책연구 등추은희
78창원시주식회사경남테크원창원시 의창구 사림로85번길 14-15 주식회사경남테크원예비기타컴퓨터 유지보수, 컴퓨터 및 주변기기 판매상품 제조/판매컴퓨터 유지보수 및 임대, 주변기기 판매이구용
89창원시주식회사마크창원시 성산구 외동반림로134번길 41 (중앙동 11-9)예비기타인쇄물 제조 판매, 출판, 부동산 임대업인쇄/출판인쇄, 출판, 홍보부스 설치곽명화
910창원시(주)바램부동산종합회사부동산중개법인창원시 의창구 의창대로282번길 4-8 2층(중동, 남산빌딩)예비기타부동산 관련 종합서비스기타부동산 종합 서비스이준우
연번시군기업명주소구분사업분야사업내용분야별제품(재화,서비스)대표자
149150거창군(유)거창늘푸른사람들거창군 거창읍 절부길 13-26인증청소청소용역 및 방역사업청소/방역/경비청소, 방역임혜정
150151거창군농업회사법인㈜올빛거창군 거창읍 거열로 154-6인증제조식품 가공(떡 제조), 카페 운영식품류 가공/유통떡 제조, 카페김수용(전:김우동)
151152거창군유한회사 거창행복나눔복지센터거창군 거창읍 강변로 115인증가사간병방문요양, 방문목욕가사/간병/돌봄/보육방문요양, 방문목욕김영오
152153거창군주식회사 아림하우징거창군 거창읍 절부길 13-26인증건축주거환경개선사업건축/주거환경주거환경개선조영옥
153154거창군(유) 자연향거창군 남상면 감악산로 964인증제조천연비누, 양초 만들기, 체험학습상품 제조/판매천연비누(에그흡수비누), 양초김재순
154155거창군유한회사 하나온거창군 거창읍 위천면 송계로 550-25인증교육워크숍 및 연수교육/체험프로그램교육, 상담, 이주여성 일자리 창출, 문화산업, 행복한 마을가꾸기 사업, 지역사회 참여 및 사회 환원 사업정철효
155156거창군금원산마을영농조합거창군 위천면 금원산길 135인증제조부각류, 전통식품 생산 판매식품류 가공/유통부각, 전통식품우지호
156157거창군㈜ 청림식품거창군 거창읍 장팔길 317인증제조농산물 가공(즙) 판매식품류 가공/유통푸른숲 비트 사과즙, 푸른숲 아로니아 분말이창오
157158거창군㈜거창주방거창군 거창읍 아림로3길 19인증재활용재활용품 수리 및 판매환경/재활용재활용품 수리, 판매이영석
158159합천군합천로컬푸드영농조합법인합천군 합천읍 옥산로 16(103호)인증유통친환경 로컬푸드 판매식품류 가공/유통지역 농산물이동환