Overview

Dataset statistics

Number of variables10
Number of observations53
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory4.3 KiB
Average record size in memory83.5 B

Variable types

Numeric1
Text6
Categorical3

Dataset

Description경상남도 인증사회적기업 현황으로, 인증사회적기업의 인증번호, 기관명, 사업내용, 전화번호, 주소, 홈페이지 등에 관한 정보를 제공합니다.
Author경상남도
URLhttps://bigdata.gyeongnam.go.kr/index.gn?menuCd=DOM_000000114002001000&publicdatapk=15056479

Alerts

구분 has constant value ""Constant
연번 is highly overall correlated with 시군High correlation
시군 is highly overall correlated with 연번High correlation
연번 has unique valuesUnique
인증번호 has unique valuesUnique
기업명 has unique valuesUnique
사업내용 has unique valuesUnique
전화번호 has unique valuesUnique
대표자 has unique valuesUnique

Reproduction

Analysis started2023-12-11 00:00:21.002486
Analysis finished2023-12-11 00:00:22.070080
Duration1.07 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct53
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean27
Minimum1
Maximum53
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size609.0 B
2023-12-11T09:00:22.162873image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile3.6
Q114
median27
Q340
95-th percentile50.4
Maximum53
Range52
Interquartile range (IQR)26

Descriptive statistics

Standard deviation15.443445
Coefficient of variation (CV)0.57197945
Kurtosis-1.2
Mean27
Median Absolute Deviation (MAD)13
Skewness0
Sum1431
Variance238.5
MonotonicityStrictly increasing
2023-12-11T09:00:22.349029image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
1.9%
41 1
 
1.9%
30 1
 
1.9%
31 1
 
1.9%
32 1
 
1.9%
33 1
 
1.9%
34 1
 
1.9%
35 1
 
1.9%
36 1
 
1.9%
37 1
 
1.9%
Other values (43) 43
81.1%
ValueCountFrequency (%)
1 1
1.9%
2 1
1.9%
3 1
1.9%
4 1
1.9%
5 1
1.9%
6 1
1.9%
7 1
1.9%
8 1
1.9%
9 1
1.9%
10 1
1.9%
ValueCountFrequency (%)
53 1
1.9%
52 1
1.9%
51 1
1.9%
50 1
1.9%
49 1
1.9%
48 1
1.9%
47 1
1.9%
46 1
1.9%
45 1
1.9%
44 1
1.9%

인증번호
Text

UNIQUE 

Distinct53
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size556.0 B
2023-12-11T09:00:22.666412image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length9
Median length9
Mean length8.6037736
Min length8

Characters and Unicode

Total characters456
Distinct characters13
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique53 ?
Unique (%)100.0%

Sample

1st row제2013-17호
2nd row제2013-22호
3rd row제2013-23호
4th row제2013-37호
5th row제2014-1호
ValueCountFrequency (%)
제2013-17호 1
 
1.9%
제2016-3호 1
 
1.9%
제2016-5호 1
 
1.9%
제2016-6호 1
 
1.9%
제2016-7호 1
 
1.9%
제2013-27호 1
 
1.9%
제2015-14호 1
 
1.9%
제2015-15호 1
 
1.9%
제2016-8호 1
 
1.9%
제2015-6호 1
 
1.9%
Other values (43) 43
81.1%
2023-12-11T09:00:23.369736image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 77
16.9%
2 69
15.1%
0 57
12.5%
제 53
11.6%
- 53
11.6%
호 53
11.6%
5 25
 
5.5%
3 22
 
4.8%
4 18
 
3.9%
6 13
 
2.9%
Other values (3) 16
 
3.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 297
65.1%
Other Letter 106
 
23.2%
Dash Punctuation 53
 
11.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 77
25.9%
2 69
23.2%
0 57
19.2%
5 25
 
8.4%
3 22
 
7.4%
4 18
 
6.1%
6 13
 
4.4%
7 7
 
2.4%
8 6
 
2.0%
9 3
 
1.0%
Other Letter
ValueCountFrequency (%)
제 53
50.0%
호 53
50.0%
Dash Punctuation
ValueCountFrequency (%)
- 53
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 350
76.8%
Hangul 106
 
23.2%

Most frequent character per script

Common
ValueCountFrequency (%)
1 77
22.0%
2 69
19.7%
0 57
16.3%
- 53
15.1%
5 25
 
7.1%
3 22
 
6.3%
4 18
 
5.1%
6 13
 
3.7%
7 7
 
2.0%
8 6
 
1.7%
Hangul
ValueCountFrequency (%)
제 53
50.0%
호 53
50.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 350
76.8%
Hangul 106
 
23.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 77
22.0%
2 69
19.7%
0 57
16.3%
- 53
15.1%
5 25
 
7.1%
3 22
 
6.3%
4 18
 
5.1%
6 13
 
3.7%
7 7
 
2.0%
8 6
 
1.7%
Hangul
ValueCountFrequency (%)
제 53
50.0%
호 53
50.0%

구분
Categorical

CONSTANT 

Distinct1
Distinct (%)1.9%
Missing0
Missing (%)0.0%
Memory size556.0 B
예비
53 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
예비 53
100.0%

Length

2023-12-11T09:00:23.541991image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T09:00:23.642708image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
예비 53
100.0%

시군
Categorical

HIGH CORRELATION 

Distinct12
Distinct (%)22.6%
Missing0
Missing (%)0.0%
Memory size556.0 B
창원시
13 
진주시
7 
김해시
7 
함양군
5 
거창군
5 
Other values (7)
16 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique3 ?
Unique (%)5.7%

Sample

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

Common Values

ValueCountFrequency (%)
창원시 13
24.5%
진주시 7
13.2%
김해시 7
13.2%
함양군 5
 
9.4%
거창군 5
 
9.4%
양산시 4
 
7.5%
하동군 4
 
7.5%
거제시 3
 
5.7%
사천시 2
 
3.8%
고성군 1
 
1.9%
Other values (2) 2
 
3.8%

Length

2023-12-11T09:00:23.750202image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
창원시 13
24.5%
진주시 7
13.2%
김해시 7
13.2%
함양군 5
 
9.4%
거창군 5
 
9.4%
양산시 4
 
7.5%
하동군 4
 
7.5%
거제시 3
 
5.7%
사천시 2
 
3.8%
고성군 1
 
1.9%
Other values (2) 2
 
3.8%

기업명
Text

UNIQUE 

Distinct53
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size556.0 B
2023-12-11T09:00:24.011599image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length17
Median length13
Mean length9.8679245
Min length4

Characters and Unicode

Total characters523
Distinct characters172
Distinct categories6 ?
Distinct scripts3 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique53 ?
Unique (%)100.0%

Sample

1st row(사) 대한민국 한복美 협회
2nd row㈜ 바냇들
3rd row㈜ 아트인시티
4th row(사) 경남국악관현악단휴
5th row㈜ 삼프로연구소
ValueCountFrequency (%)
㈜ 8
 
9.5%
주식회사 6
 
7.1%
사 4
 
4.8%
유한회사 2
 
2.4%
농업회사법인 2
 
2.4%
농업회사법인㈜푸른이치 1
 
1.2%
거창지체장애인협회자립장 1
 
1.2%
사나래바이오주식회사 1
 
1.2%
㈜문화와사람들 1
 
1.2%
휠연구소 1
 
1.2%
Other values (57) 57
67.9%
2023-12-11T09:00:24.461447image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
사 38
 
7.3%
31
 
5.9%
회 29
 
5.5%
주 19
 
3.6%
㈜ 18
 
3.4%
인 17
 
3.3%
식 15
 
2.9%
법 13
 
2.5%
농 12
 
2.3%
조 10
 
1.9%
Other values (162) 321
61.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 463
88.5%
Space Separator 31
 
5.9%
Other Symbol 18
 
3.4%
Open Punctuation 5
 
1.0%
Close Punctuation 5
 
1.0%
Other Punctuation 1
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
사 38
 
8.2%
회 29
 
6.3%
주 19
 
4.1%
인 17
 
3.7%
식 15
 
3.2%
법 13
 
2.8%
농 12
 
2.6%
조 10
 
2.2%
합 9
 
1.9%
협 9
 
1.9%
Other values (157) 292
63.1%
Space Separator
ValueCountFrequency (%)
31
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 18
100.0%
Open Punctuation
ValueCountFrequency (%)
( 5
100.0%
Close Punctuation
ValueCountFrequency (%)
) 5
100.0%
Other Punctuation
ValueCountFrequency (%)
& 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 480
91.8%
Common 42
 
8.0%
Han 1
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
사 38
 
7.9%
회 29
 
6.0%
주 19
 
4.0%
㈜ 18
 
3.8%
인 17
 
3.5%
식 15
 
3.1%
법 13
 
2.7%
농 12
 
2.5%
조 10
 
2.1%
합 9
 
1.9%
Other values (157) 300
62.5%
Common
ValueCountFrequency (%)
31
73.8%
( 5
 
11.9%
) 5
 
11.9%
& 1
 
2.4%
Han
ValueCountFrequency (%)
美 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 462
88.3%
ASCII 42
 
8.0%
None 18
 
3.4%
CJK 1
 
0.2%

Most frequent character per block

Hangul
ValueCountFrequency (%)
사 38
 
8.2%
회 29
 
6.3%
주 19
 
4.1%
인 17
 
3.7%
식 15
 
3.2%
법 13
 
2.8%
농 12
 
2.6%
조 10
 
2.2%
합 9
 
1.9%
협 9
 
1.9%
Other values (156) 291
63.0%
ASCII
ValueCountFrequency (%)
31
73.8%
( 5
 
11.9%
) 5
 
11.9%
& 1
 
2.4%
None
ValueCountFrequency (%)
㈜ 18
100.0%
CJK
ValueCountFrequency (%)
美 1
100.0%

사업자등록증상 기업명
Categorical

Distinct25
Distinct (%)47.2%
Missing0
Missing (%)0.0%
Memory size556.0 B
-
9 
창원돌봄센터협동조합
5 
주식회사 한솔글러브
4 
가치나눔주식회사
3 
유한회사 행복한동행
3 
Other values (20)
29 

Length

Max length18
Median length15
Mean length9.6603774
Min length1

Unique

Unique13 ?
Unique (%)24.5%

Sample

1st row사단법인 대한민국 한복美협회
2nd row주식회사 바냇들
3rd row㈜ 아트인시티
4th row-
5th row주식회사 삼르로연구소

Common Values

ValueCountFrequency (%)
- 9
17.0%
창원돌봄센터협동조합 5
 
9.4%
주식회사 한솔글러브 4
 
7.5%
가치나눔주식회사 3
 
5.7%
유한회사 행복한동행 3
 
5.7%
진주로컬푸드협동조합 3
 
5.7%
사천시 친환경 생산자 영농조합법인 3
 
5.7%
(사) 금성면발전협의회 2
 
3.8%
진주우리먹거리협동조합 진주푸드 2
 
3.8%
유한회사 함께걷는발달연구소 2
 
3.8%
Other values (15) 17
32.1%

Length

2023-12-11T09:00:24.634915image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
9
 
9.8%
주식회사 9
 
9.8%
유한회사 7
 
7.6%
창원돌봄센터협동조합 5
 
5.4%
한솔글러브 4
 
4.3%
영농조합법인 4
 
4.3%
가치나눔주식회사 3
 
3.3%
행복한동행 3
 
3.3%
진주로컬푸드협동조합 3
 
3.3%
사천시 3
 
3.3%
Other values (29) 42
45.7%

사업내용
Text

UNIQUE 

Distinct53
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size556.0 B
2023-12-11T09:00:24.960918image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length41
Median length28
Mean length20.150943
Min length4

Characters and Unicode

Total characters1068
Distinct characters207
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

Unique53 ?
Unique (%)100.0%

Sample

1st row한복, 수제품 제작교육
2nd row염직물아트 및 공예 제작 판매, 예능교육 및 공예제작 체험사업
3rd row디지털 헤리티지 사업
4th row행복드림 국악콘서트
5th row문화예술교육 프로그램, 공공미술 디자인, 전시, 공연, 기획 등
ValueCountFrequency (%)
및 31
 
11.5%
판매 15
 
5.6%
운영 8
 
3.0%
등 8
 
3.0%
사업 7
 
2.6%
제조 6
 
2.2%
개발 4
 
1.5%
생산 4
 
1.5%
농산물 4
 
1.5%
직거래 3
 
1.1%
Other values (166) 179
66.5%
2023-12-11T09:00:25.441795image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
221
 
20.7%
, 40
 
3.7%
및 31
 
2.9%
업 30
 
2.8%
제 22
 
2.1%
사 22
 
2.1%
매 20
 
1.9%
공 20
 
1.9%
조 17
 
1.6%
판 17
 
1.6%
Other values (197) 628
58.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 785
73.5%
Space Separator 221
 
20.7%
Other Punctuation 41
 
3.8%
Open Punctuation 6
 
0.6%
Close Punctuation 6
 
0.6%
Lowercase Letter 6
 
0.6%
Dash Punctuation 2
 
0.2%
Uppercase Letter 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
및 31
 
3.9%
업 30
 
3.8%
제 22
 
2.8%
사 22
 
2.8%
매 20
 
2.5%
공 20
 
2.5%
조 17
 
2.2%
판 17
 
2.2%
소 14
 
1.8%
장 13
 
1.7%
Other values (184) 579
73.8%
Lowercase Letter
ValueCountFrequency (%)
r 1
16.7%
k 1
16.7%
o 1
16.7%
w 1
16.7%
t 1
16.7%
e 1
16.7%
Other Punctuation
ValueCountFrequency (%)
, 40
97.6%
· 1
 
2.4%
Space Separator
ValueCountFrequency (%)
221
100.0%
Open Punctuation
ValueCountFrequency (%)
( 6
100.0%
Close Punctuation
ValueCountFrequency (%)
) 6
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%
Uppercase Letter
ValueCountFrequency (%)
N 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 785
73.5%
Common 276
 
25.8%
Latin 7
 
0.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
및 31
 
3.9%
업 30
 
3.8%
제 22
 
2.8%
사 22
 
2.8%
매 20
 
2.5%
공 20
 
2.5%
조 17
 
2.2%
판 17
 
2.2%
소 14
 
1.8%
장 13
 
1.7%
Other values (184) 579
73.8%
Latin
ValueCountFrequency (%)
r 1
14.3%
k 1
14.3%
o 1
14.3%
w 1
14.3%
t 1
14.3%
e 1
14.3%
N 1
14.3%
Common
ValueCountFrequency (%)
221
80.1%
, 40
 
14.5%
( 6
 
2.2%
) 6
 
2.2%
- 2
 
0.7%
· 1
 
0.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 785
73.5%
ASCII 282
 
26.4%
None 1
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
221
78.4%
, 40
 
14.2%
( 6
 
2.1%
) 6
 
2.1%
- 2
 
0.7%
r 1
 
0.4%
k 1
 
0.4%
o 1
 
0.4%
w 1
 
0.4%
t 1
 
0.4%
Other values (2) 2
 
0.7%
Hangul
ValueCountFrequency (%)
및 31
 
3.9%
업 30
 
3.8%
제 22
 
2.8%
사 22
 
2.8%
매 20
 
2.5%
공 20
 
2.5%
조 17
 
2.2%
판 17
 
2.2%
소 14
 
1.8%
장 13
 
1.7%
Other values (184) 579
73.8%
None
ValueCountFrequency (%)
· 1
100.0%

주소
Text

Distinct52
Distinct (%)98.1%
Missing0
Missing (%)0.0%
Memory size556.0 B
2023-12-11T09:00:25.768661image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length46
Median length34
Mean length26.132075
Min length12

Characters and Unicode

Total characters1385
Distinct characters153
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

Unique51 ?
Unique (%)96.2%

Sample

1st row경상남도 창원시 성산구 원이대로393번길 25 4027호(반지동,케이프타운)
2nd row경상남도 창원시 마산합포구 동서북10길 5 (부림동)
3rd row경상남도 창원시 성산구 완암로 50 창원 SK테크노파크 넥스동 1105호
4th row경상남도 창원시 마산합포구 오동서1길23(중성동)
5th row경상남도 창원시 진해구 병암북로 4번길 29 상지약수아파트 부속상가 지하1층
ValueCountFrequency (%)
경상남도 53
 
17.8%
창원시 14
 
4.7%
진주시 7
 
2.4%
김해시 7
 
2.4%
함양군 5
 
1.7%
거창군 5
 
1.7%
양산시 4
 
1.3%
2층 4
 
1.3%
성산구 3
 
1.0%
마산합포구 3
 
1.0%
Other values (172) 192
64.6%
2023-12-11T09:00:26.272952image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
244
 
17.6%
상 61
 
4.4%
남 58
 
4.2%
경 55
 
4.0%
1 54
 
3.9%
도 53
 
3.8%
시 39
 
2.8%
로 32
 
2.3%
2 31
 
2.2%
길 30
 
2.2%
Other values (143) 728
52.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 862
62.2%
Space Separator 244
 
17.6%
Decimal Number 222
 
16.0%
Close Punctuation 16
 
1.2%
Open Punctuation 16
 
1.2%
Dash Punctuation 12
 
0.9%
Other Punctuation 10
 
0.7%
Uppercase Letter 2
 
0.1%
Math Symbol 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
상 61
 
7.1%
남 58
 
6.7%
경 55
 
6.4%
도 53
 
6.1%
시 39
 
4.5%
로 32
 
3.7%
길 30
 
3.5%
창 29
 
3.4%
동 27
 
3.1%
산 24
 
2.8%
Other values (125) 454
52.7%
Decimal Number
ValueCountFrequency (%)
1 54
24.3%
2 31
14.0%
3 26
11.7%
4 20
 
9.0%
5 20
 
9.0%
0 18
 
8.1%
6 15
 
6.8%
7 13
 
5.9%
8 13
 
5.9%
9 12
 
5.4%
Uppercase Letter
ValueCountFrequency (%)
K 1
50.0%
S 1
50.0%
Space Separator
ValueCountFrequency (%)
244
100.0%
Close Punctuation
ValueCountFrequency (%)
) 16
100.0%
Open Punctuation
ValueCountFrequency (%)
( 16
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 12
100.0%
Other Punctuation
ValueCountFrequency (%)
, 10
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 862
62.2%
Common 521
37.6%
Latin 2
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
상 61
 
7.1%
남 58
 
6.7%
경 55
 
6.4%
도 53
 
6.1%
시 39
 
4.5%
로 32
 
3.7%
길 30
 
3.5%
창 29
 
3.4%
동 27
 
3.1%
산 24
 
2.8%
Other values (125) 454
52.7%
Common
ValueCountFrequency (%)
244
46.8%
1 54
 
10.4%
2 31
 
6.0%
3 26
 
5.0%
4 20
 
3.8%
5 20
 
3.8%
0 18
 
3.5%
) 16
 
3.1%
( 16
 
3.1%
6 15
 
2.9%
Other values (6) 61
 
11.7%
Latin
ValueCountFrequency (%)
K 1
50.0%
S 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 862
62.2%
ASCII 523
37.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
244
46.7%
1 54
 
10.3%
2 31
 
5.9%
3 26
 
5.0%
4 20
 
3.8%
5 20
 
3.8%
0 18
 
3.4%
) 16
 
3.1%
( 16
 
3.1%
6 15
 
2.9%
Other values (8) 63
 
12.0%
Hangul
ValueCountFrequency (%)
상 61
 
7.1%
남 58
 
6.7%
경 55
 
6.4%
도 53
 
6.1%
시 39
 
4.5%
로 32
 
3.7%
길 30
 
3.5%
창 29
 
3.4%
동 27
 
3.1%
산 24
 
2.8%
Other values (125) 454
52.7%

전화번호
Text

UNIQUE 

Distinct53
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size556.0 B
2023-12-11T09:00:26.589200image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length11.849057
Min length1

Characters and Unicode

Total characters628
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

Unique53 ?
Unique (%)100.0%

Sample

1st row055-282-4343
2nd row055-244-8852
3rd row055-262-2116
4th row055-273-0946
5th row055-275-0338
ValueCountFrequency (%)
055-282-4343 1
 
1.9%
055-326-4200 1
 
1.9%
055-634-2255 1
 
1.9%
055-681-0668 1
 
1.9%
055-637-6701 1
 
1.9%
055-363-2662 1
 
1.9%
055-364-3363 1
 
1.9%
055-385-0010 1
 
1.9%
055-382-3750 1
 
1.9%
070-7756-4243 1
 
1.9%
Other values (43) 43
81.1%
2023-12-11T09:00:27.058533image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5 121
19.3%
- 105
16.7%
0 92
14.6%
2 48
 
7.6%
3 47
 
7.5%
6 42
 
6.7%
4 39
 
6.2%
8 38
 
6.1%
7 35
 
5.6%
1 31
 
4.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 523
83.3%
Dash Punctuation 105
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 121
23.1%
0 92
17.6%
2 48
 
9.2%
3 47
 
9.0%
6 42
 
8.0%
4 39
 
7.5%
8 38
 
7.3%
7 35
 
6.7%
1 31
 
5.9%
9 30
 
5.7%
Dash Punctuation
ValueCountFrequency (%)
- 105
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 628
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
5 121
19.3%
- 105
16.7%
0 92
14.6%
2 48
 
7.6%
3 47
 
7.5%
6 42
 
6.7%
4 39
 
6.2%
8 38
 
6.1%
7 35
 
5.6%
1 31
 
4.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 628
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5 121
19.3%
- 105
16.7%
0 92
14.6%
2 48
 
7.6%
3 47
 
7.5%
6 42
 
6.7%
4 39
 
6.2%
8 38
 
6.1%
7 35
 
5.6%
1 31
 
4.9%

대표자
Text

UNIQUE 

Distinct53
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size556.0 B
2023-12-11T09:00:27.368631image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length3
Mean length3.0754717
Min length3

Characters and Unicode

Total characters163
Distinct characters89
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique53 ?
Unique (%)100.0%

Sample

1st row김영수
2nd row박미영
3rd row최덕규
4th row송철민
5th row장두영
ValueCountFrequency (%)
김영수 1
 
1.9%
박해규 1
 
1.9%
유원관 1
 
1.9%
노둘래 1
 
1.9%
김동수 1
 
1.9%
김은점 1
 
1.9%
황정우 1
 
1.9%
엄선자 1
 
1.9%
김인수 1
 
1.9%
이재림 1
 
1.9%
Other values (43) 43
81.1%
2023-12-11T09:00:27.849291image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
김 15
 
9.2%
영 10
 
6.1%
정 8
 
4.9%
이 4
 
2.5%
성 4
 
2.5%
인 4
 
2.5%
현 4
 
2.5%
석 4
 
2.5%
최 4
 
2.5%
진 3
 
1.8%
Other values (79) 103
63.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 162
99.4%
Other Punctuation 1
 
0.6%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
김 15
 
9.3%
영 10
 
6.2%
정 8
 
4.9%
이 4
 
2.5%
성 4
 
2.5%
인 4
 
2.5%
현 4
 
2.5%
석 4
 
2.5%
최 4
 
2.5%
진 3
 
1.9%
Other values (78) 102
63.0%
Other Punctuation
ValueCountFrequency (%)
, 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 162
99.4%
Common 1
 
0.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
김 15
 
9.3%
영 10
 
6.2%
정 8
 
4.9%
이 4
 
2.5%
성 4
 
2.5%
인 4
 
2.5%
현 4
 
2.5%
석 4
 
2.5%
최 4
 
2.5%
진 3
 
1.9%
Other values (78) 102
63.0%
Common
ValueCountFrequency (%)
, 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 162
99.4%
ASCII 1
 
0.6%

Most frequent character per block

Hangul
ValueCountFrequency (%)
김 15
 
9.3%
영 10
 
6.2%
정 8
 
4.9%
이 4
 
2.5%
성 4
 
2.5%
인 4
 
2.5%
현 4
 
2.5%
석 4
 
2.5%
최 4
 
2.5%
진 3
 
1.9%
Other values (78) 102
63.0%
ASCII
ValueCountFrequency (%)
, 1
100.0%

Interactions

2023-12-11T09:00:21.687570image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-11T09:00:27.985772image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번인증번호시군기업명사업자등록증상 기업명사업내용주소전화번호대표자
연번1.0001.0000.9341.0000.7161.0000.9251.0001.000
인증번호1.0001.0001.0001.0001.0001.0001.0001.0001.000
시군0.9341.0001.0001.0000.4571.0000.9721.0001.000
기업명1.0001.0001.0001.0001.0001.0001.0001.0001.000
사업자등록증상 기업명0.7161.0000.4571.0001.0001.0000.9591.0001.000
사업내용1.0001.0001.0001.0001.0001.0001.0001.0001.000
주소0.9251.0000.9721.0000.9591.0001.0001.0001.000
전화번호1.0001.0001.0001.0001.0001.0001.0001.0001.000
대표자1.0001.0001.0001.0001.0001.0001.0001.0001.000
2023-12-11T09:00:28.114971image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
시군사업자등록증상 기업명
시군1.0000.094
사업자등록증상 기업명0.0941.000
2023-12-11T09:00:28.197226image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번시군사업자등록증상 기업명
연번1.0000.7520.226
시군0.7521.0000.094
사업자등록증상 기업명0.2260.0941.000

Missing values

2023-12-11T09:00:21.809370image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-11T09:00:21.985205image/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

연번인증번호구분시군기업명사업자등록증상 기업명사업내용주소전화번호대표자
01제2013-17호예비창원시(사) 대한민국 한복美 협회사단법인 대한민국 한복美협회한복, 수제품 제작교육경상남도 창원시 성산구 원이대로393번길 25 4027호(반지동,케이프타운)055-282-4343김영수
12제2013-22호예비창원시㈜ 바냇들주식회사 바냇들염직물아트 및 공예 제작 판매, 예능교육 및 공예제작 체험사업경상남도 창원시 마산합포구 동서북10길 5 (부림동)055-244-8852박미영
23제2013-23호예비창원시㈜ 아트인시티㈜ 아트인시티디지털 헤리티지 사업경상남도 창원시 성산구 완암로 50 창원 SK테크노파크 넥스동 1105호055-262-2116최덕규
34제2013-37호예비창원시(사) 경남국악관현악단휴-행복드림 국악콘서트경상남도 창원시 마산합포구 오동서1길23(중성동)055-273-0946송철민
45제2014-1호예비창원시㈜ 삼프로연구소주식회사 삼르로연구소문화예술교육 프로그램, 공공미술 디자인, 전시, 공연, 기획 등경상남도 창원시 진해구 병암북로 4번길 29 상지약수아파트 부속상가 지하1층055-275-0338장두영
56제2014-14호예비창원시가치나눔주식회사가치나눔주식회사중고자동차 부품 판매, 전국 Network망 사업 및 소프트웨어 개발 사업경상남도 창원시 마산합포구 내서읍 함마대로 2640 마산대학9호관 309호055-231-4521정현호
67제2014-15호예비창원시유한회사 함께걷는발달연구소유한회사 함께걷는발달연구소장애아동 평가 및 교육, 장애체육프로그램 사업경상남도 창원시 의창구 사림로 63 (사림동)055-289-6694김소형
78제2015-1호예비창원시유한회사 떡고물주식회사 삼르로연구소떡 제조 및 판매경상남도 창원시 남산로9번길 54-6(팔용동)055-261-9605정명혜
89제2015-2호예비창원시주식회사 봄(주) 해맑음웰빙 꽃, 약초차 가공 및 판매, 플라워 체험 까페 운영경상남도 창원시 의창구 신사로 83-1(신월동)055-262-3653김인영
910제2015-9호예비창원시마을미디어창원협동조합지리산물나들이영농조합법인영상제작, 방송광고송출, 미디어교육사업 및 공모, 이벤트사업경상남도 창원시 의창구 창이대로 165번길 7(봉곡동)055-276-0071변상기
연번인증번호구분시군기업명사업자등록증상 기업명사업내용주소전화번호대표자
4344제2014-23호예비함양군에덴 영농조합법인에덴 영농조합법인지역 농산물 생산, 가공 및 유통업,체험농장 운영경상남도 함양군 서하면 함양남서로 3700-3055-962-9100김월순
4445제2015-7호예비함양군농업회사법인누리는농부주식회사(유) 쓰임업곶감 등 농산물 등 생산 판매경상남도 함양군 백전면 오매실길 147-61055-964-7100김종현
4546제2015-16호예비함양군개평정일품농업회사법인주식회사창원돌봄센터협동조합전통발효식품판매 및 위탁가공, 한옥전통 문화체험마을 운영경상남도 함양군 지곡면 개평길 39055-963-8844심진완,성진욱
4647제2015-21호예비함양군㈜상림클린창원돌봄센터협동조합위생관리용역 저수조 청소 및 위생용품 도·소매경상남도 함양군 안의면 양지말길 21055-943-1397장재훈
4748제2013-33호예비거창군(유) 베지나랑-사찰음식 판매경상남도 거창군 거창읍 시장길 13-김윤주
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