Overview

Dataset statistics

Number of variables8
Number of observations66
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory4.3 KiB
Average record size in memory67.0 B

Variable types

Numeric1
Categorical1
Text6

Dataset

Description한국중부발전의 협력기업에대한 대표명, 연락처 정보이며, 항목은 "순번","구분","기업명","주생산품","주소","사업자등록번호","대표자명","사무실전화"로 구성되어있음
Author한국중부발전(주)
URLhttps://www.data.go.kr/data/15083281/fileData.do

Alerts

구분 has constant value ""Constant
순번 has unique valuesUnique
기업명 has unique valuesUnique
주소 has unique valuesUnique
사업자등록번호 has unique valuesUnique
대표자명 has unique valuesUnique
사무실전화 has unique valuesUnique

Reproduction

Analysis started2023-12-11 23:08:08.810337
Analysis finished2023-12-11 23:08:09.602381
Duration0.79 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

순번
Real number (ℝ)

UNIQUE 

Distinct66
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean33.5
Minimum1
Maximum66
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size726.0 B
2023-12-12T08:08:09.667885image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile4.25
Q117.25
median33.5
Q349.75
95-th percentile62.75
Maximum66
Range65
Interquartile range (IQR)32.5

Descriptive statistics

Standard deviation19.196354
Coefficient of variation (CV)0.57302549
Kurtosis-1.2
Mean33.5
Median Absolute Deviation (MAD)16.5
Skewness0
Sum2211
Variance368.5
MonotonicityStrictly increasing
2023-12-12T08:08:09.799627image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
1.5%
51 1
 
1.5%
37 1
 
1.5%
38 1
 
1.5%
39 1
 
1.5%
40 1
 
1.5%
41 1
 
1.5%
42 1
 
1.5%
43 1
 
1.5%
44 1
 
1.5%
Other values (56) 56
84.8%
ValueCountFrequency (%)
1 1
1.5%
2 1
1.5%
3 1
1.5%
4 1
1.5%
5 1
1.5%
6 1
1.5%
7 1
1.5%
8 1
1.5%
9 1
1.5%
10 1
1.5%
ValueCountFrequency (%)
66 1
1.5%
65 1
1.5%
64 1
1.5%
63 1
1.5%
62 1
1.5%
61 1
1.5%
60 1
1.5%
59 1
1.5%
58 1
1.5%
57 1
1.5%

구분
Categorical

CONSTANT 

Distinct1
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Memory size660.0 B
KOMIPO-BEST 상생협력사
66 

Length

Max length17
Median length17
Mean length17
Min length17

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowKOMIPO-BEST 상생협력사
2nd rowKOMIPO-BEST 상생협력사
3rd rowKOMIPO-BEST 상생협력사
4th rowKOMIPO-BEST 상생협력사
5th rowKOMIPO-BEST 상생협력사

Common Values

ValueCountFrequency (%)
KOMIPO-BEST 상생협력사 66
100.0%

Length

2023-12-12T08:08:09.928818image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T08:08:10.019670image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
komipo-best 66
50.0%
상생협력사 66
50.0%

기업명
Text

UNIQUE 

Distinct66
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size660.0 B
2023-12-12T08:08:10.246513image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length10
Median length8
Mean length5.6212121
Min length2

Characters and Unicode

Total characters371
Distinct characters134
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

Unique66 ?
Unique (%)100.0%

Sample

1st row나노
2nd row대양롤랜트
3rd row세운 T&S
4th row삼영필텍
5th row엔텍월드
ValueCountFrequency (%)
나노 1
 
1.4%
㈜오르비스 1
 
1.4%
㈜비에프에스 1
 
1.4%
엔에스시스템 1
 
1.4%
㈜파워닉스 1
 
1.4%
㈜c&l 1
 
1.4%
㈜비엠티 1
 
1.4%
한국공조기술개발㈜ 1
 
1.4%
㈜포미트 1
 
1.4%
유넷시스 1
 
1.4%
Other values (59) 59
85.5%
2023-12-12T08:08:10.599206image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
㈜ 25
 
6.7%
스 14
 
3.8%
엔 12
 
3.2%
이 10
 
2.7%
기 10
 
2.7%
주 9
 
2.4%
지 9
 
2.4%
에 8
 
2.2%
텍 7
 
1.9%
) 7
 
1.9%
Other values (124) 260
70.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 308
83.0%
Other Symbol 25
 
6.7%
Uppercase Letter 18
 
4.9%
Close Punctuation 7
 
1.9%
Open Punctuation 7
 
1.9%
Space Separator 3
 
0.8%
Other Punctuation 3
 
0.8%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
스 14
 
4.5%
엔 12
 
3.9%
이 10
 
3.2%
기 10
 
3.2%
주 9
 
2.9%
지 9
 
2.9%
에 8
 
2.6%
텍 7
 
2.3%
니 6
 
1.9%
링 6
 
1.9%
Other values (107) 217
70.5%
Uppercase Letter
ValueCountFrequency (%)
S 3
16.7%
L 2
11.1%
C 2
11.1%
T 2
11.1%
B 2
11.1%
K 1
 
5.6%
F 1
 
5.6%
E 1
 
5.6%
N 1
 
5.6%
X 1
 
5.6%
Other values (2) 2
11.1%
Other Symbol
ValueCountFrequency (%)
㈜ 25
100.0%
Close Punctuation
ValueCountFrequency (%)
) 7
100.0%
Open Punctuation
ValueCountFrequency (%)
( 7
100.0%
Space Separator
ValueCountFrequency (%)
3
100.0%
Other Punctuation
ValueCountFrequency (%)
& 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 333
89.8%
Common 20
 
5.4%
Latin 18
 
4.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
㈜ 25
 
7.5%
스 14
 
4.2%
엔 12
 
3.6%
이 10
 
3.0%
기 10
 
3.0%
주 9
 
2.7%
지 9
 
2.7%
에 8
 
2.4%
텍 7
 
2.1%
니 6
 
1.8%
Other values (108) 223
67.0%
Latin
ValueCountFrequency (%)
S 3
16.7%
L 2
11.1%
C 2
11.1%
T 2
11.1%
B 2
11.1%
K 1
 
5.6%
F 1
 
5.6%
E 1
 
5.6%
N 1
 
5.6%
X 1
 
5.6%
Other values (2) 2
11.1%
Common
ValueCountFrequency (%)
) 7
35.0%
( 7
35.0%
3
15.0%
& 3
15.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 308
83.0%
ASCII 38
 
10.2%
None 25
 
6.7%

Most frequent character per block

None
ValueCountFrequency (%)
㈜ 25
100.0%
Hangul
ValueCountFrequency (%)
스 14
 
4.5%
엔 12
 
3.9%
이 10
 
3.2%
기 10
 
3.2%
주 9
 
2.9%
지 9
 
2.9%
에 8
 
2.6%
텍 7
 
2.3%
니 6
 
1.9%
링 6
 
1.9%
Other values (107) 217
70.5%
ASCII
ValueCountFrequency (%)
) 7
18.4%
( 7
18.4%
S 3
7.9%
3
7.9%
& 3
7.9%
L 2
 
5.3%
C 2
 
5.3%
T 2
 
5.3%
B 2
 
5.3%
K 1
 
2.6%
Other values (6) 6
15.8%

주생산품
Text

Distinct65
Distinct (%)98.5%
Missing0
Missing (%)0.0%
Memory size660.0 B
2023-12-12T08:08:10.838444image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length28
Median length21
Mean length9.7727273
Min length2

Characters and Unicode

Total characters645
Distinct characters196
Distinct categories6 ?
Distinct scripts4 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique64 ?
Unique (%)97.0%

Sample

1st row질소산화물 제거 및 대기정화용 SCR 탈질촉매
2nd row컨베이어 아이들러
3rd rowHITLIN 보온단열재
4th row오일플러싱장비
5th row전력제어설비
ValueCountFrequency (%)
및 3
 
2.4%
기계설비공사 2
 
1.6%
외 2
 
1.6%
산업용 2
 
1.6%
탈질촉매 2
 
1.6%
집진기 2
 
1.6%
열전냉각기 1
 
0.8%
기계설비 1
 
0.8%
단열재 1
 
0.8%
콘트롤밸브 1
 
0.8%
Other values (106) 106
86.2%
2023-12-12T08:08:11.196702image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
57
 
8.8%
기 27
 
4.2%
, 23
 
3.6%
전 20
 
3.1%
비 14
 
2.2%
설 12
 
1.9%
어 11
 
1.7%
제 11
 
1.7%
계 10
 
1.6%
E 9
 
1.4%
Other values (186) 451
69.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 442
68.5%
Uppercase Letter 77
 
11.9%
Space Separator 57
 
8.8%
Lowercase Letter 39
 
6.0%
Other Punctuation 27
 
4.2%
Dash Punctuation 3
 
0.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
기 27
 
6.1%
전 20
 
4.5%
비 14
 
3.2%
설 12
 
2.7%
어 11
 
2.5%
제 11
 
2.5%
계 10
 
2.3%
이 8
 
1.8%
시 8
 
1.8%
공 8
 
1.8%
Other values (144) 313
70.8%
Uppercase Letter
ValueCountFrequency (%)
E 9
11.7%
P 7
 
9.1%
S 7
 
9.1%
I 6
 
7.8%
R 5
 
6.5%
M 5
 
6.5%
T 5
 
6.5%
L 5
 
6.5%
N 4
 
5.2%
C 4
 
5.2%
Other values (10) 20
26.0%
Lowercase Letter
ValueCountFrequency (%)
t 5
12.8%
a 5
12.8%
g 4
10.3%
c 4
10.3%
e 3
7.7%
n 3
7.7%
r 3
7.7%
i 3
7.7%
o 2
 
5.1%
k 2
 
5.1%
Other values (5) 5
12.8%
Other Punctuation
ValueCountFrequency (%)
, 23
85.2%
/ 1
 
3.7%
… 1
 
3.7%
. 1
 
3.7%
& 1
 
3.7%
Space Separator
ValueCountFrequency (%)
57
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 441
68.4%
Latin 116
 
18.0%
Common 87
 
13.5%
Han 1
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
기 27
 
6.1%
전 20
 
4.5%
비 14
 
3.2%
설 12
 
2.7%
어 11
 
2.5%
제 11
 
2.5%
계 10
 
2.3%
이 8
 
1.8%
시 8
 
1.8%
공 8
 
1.8%
Other values (143) 312
70.7%
Latin
ValueCountFrequency (%)
E 9
 
7.8%
P 7
 
6.0%
S 7
 
6.0%
I 6
 
5.2%
R 5
 
4.3%
t 5
 
4.3%
a 5
 
4.3%
M 5
 
4.3%
T 5
 
4.3%
L 5
 
4.3%
Other values (25) 57
49.1%
Common
ValueCountFrequency (%)
57
65.5%
, 23
26.4%
- 3
 
3.4%
/ 1
 
1.1%
… 1
 
1.1%
. 1
 
1.1%
& 1
 
1.1%
Han
ValueCountFrequency (%)
外 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 441
68.4%
ASCII 202
31.3%
CJK 1
 
0.2%
Punctuation 1
 
0.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
57
28.2%
, 23
 
11.4%
E 9
 
4.5%
P 7
 
3.5%
S 7
 
3.5%
I 6
 
3.0%
R 5
 
2.5%
t 5
 
2.5%
a 5
 
2.5%
M 5
 
2.5%
Other values (31) 73
36.1%
Hangul
ValueCountFrequency (%)
기 27
 
6.1%
전 20
 
4.5%
비 14
 
3.2%
설 12
 
2.7%
어 11
 
2.5%
제 11
 
2.5%
계 10
 
2.3%
이 8
 
1.8%
시 8
 
1.8%
공 8
 
1.8%
Other values (143) 312
70.7%
CJK
ValueCountFrequency (%)
外 1
100.0%
Punctuation
ValueCountFrequency (%)
… 1
100.0%

주소
Text

UNIQUE 

Distinct66
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size660.0 B
2023-12-12T08:08:11.436862image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length44
Median length35
Mean length23.651515
Min length13

Characters and Unicode

Total characters1561
Distinct characters189
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

Unique66 ?
Unique (%)100.0%

Sample

1st row경북 상주시 청리면 마공리 1188번지
2nd row경기도 시흥시 마유로70번길 13
3rd row경북 영천시 언하공단 4길 42
4th row서울 금천구 가산동 550-1 롯데IT캐슬 2동 1118호
5th row서울금천구가산동470-5에이스테크노타워12층
ValueCountFrequency (%)
경기도 16
 
4.8%
충남 7
 
2.1%
경남 6
 
1.8%
서울 5
 
1.5%
서구 5
 
1.5%
보령시 5
 
1.5%
성남시 4
 
1.2%
서울시 4
 
1.2%
인천광역시 4
 
1.2%
구로구 4
 
1.2%
Other values (241) 273
82.0%
2023-12-12T08:08:11.790802image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
267
 
17.1%
1 89
 
5.7%
시 58
 
3.7%
로 47
 
3.0%
2 42
 
2.7%
구 41
 
2.6%
3 38
 
2.4%
동 35
 
2.2%
0 34
 
2.2%
경 29
 
1.9%
Other values (179) 881
56.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 895
57.3%
Decimal Number 328
 
21.0%
Space Separator 267
 
17.1%
Dash Punctuation 25
 
1.6%
Uppercase Letter 14
 
0.9%
Other Punctuation 13
 
0.8%
Close Punctuation 9
 
0.6%
Open Punctuation 9
 
0.6%
Lowercase Letter 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
시 58
 
6.5%
로 47
 
5.3%
구 41
 
4.6%
동 35
 
3.9%
경 29
 
3.2%
남 27
 
3.0%
산 27
 
3.0%
길 24
 
2.7%
기 23
 
2.6%
서 22
 
2.5%
Other values (155) 562
62.8%
Decimal Number
ValueCountFrequency (%)
1 89
27.1%
2 42
12.8%
3 38
11.6%
0 34
 
10.4%
4 28
 
8.5%
7 26
 
7.9%
6 24
 
7.3%
5 24
 
7.3%
8 15
 
4.6%
9 8
 
2.4%
Uppercase Letter
ValueCountFrequency (%)
A 4
28.6%
T 2
14.3%
I 2
14.3%
F 2
14.3%
K 1
 
7.1%
S 1
 
7.1%
L 1
 
7.1%
B 1
 
7.1%
Space Separator
ValueCountFrequency (%)
267
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 25
100.0%
Other Punctuation
ValueCountFrequency (%)
, 13
100.0%
Close Punctuation
ValueCountFrequency (%)
) 9
100.0%
Open Punctuation
ValueCountFrequency (%)
( 9
100.0%
Lowercase Letter
ValueCountFrequency (%)
n 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 895
57.3%
Common 651
41.7%
Latin 15
 
1.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
시 58
 
6.5%
로 47
 
5.3%
구 41
 
4.6%
동 35
 
3.9%
경 29
 
3.2%
남 27
 
3.0%
산 27
 
3.0%
길 24
 
2.7%
기 23
 
2.6%
서 22
 
2.5%
Other values (155) 562
62.8%
Common
ValueCountFrequency (%)
267
41.0%
1 89
 
13.7%
2 42
 
6.5%
3 38
 
5.8%
0 34
 
5.2%
4 28
 
4.3%
7 26
 
4.0%
- 25
 
3.8%
6 24
 
3.7%
5 24
 
3.7%
Other values (5) 54
 
8.3%
Latin
ValueCountFrequency (%)
A 4
26.7%
T 2
13.3%
I 2
13.3%
F 2
13.3%
n 1
 
6.7%
K 1
 
6.7%
S 1
 
6.7%
L 1
 
6.7%
B 1
 
6.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 895
57.3%
ASCII 666
42.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
267
40.1%
1 89
 
13.4%
2 42
 
6.3%
3 38
 
5.7%
0 34
 
5.1%
4 28
 
4.2%
7 26
 
3.9%
- 25
 
3.8%
6 24
 
3.6%
5 24
 
3.6%
Other values (14) 69
 
10.4%
Hangul
ValueCountFrequency (%)
시 58
 
6.5%
로 47
 
5.3%
구 41
 
4.6%
동 35
 
3.9%
경 29
 
3.2%
남 27
 
3.0%
산 27
 
3.0%
길 24
 
2.7%
기 23
 
2.6%
서 22
 
2.5%
Other values (155) 562
62.8%

사업자등록번호
Text

UNIQUE 

Distinct66
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size660.0 B
2023-12-12T08:08:12.009290image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length12
Min length12

Characters and Unicode

Total characters792
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

Unique66 ?
Unique (%)100.0%

Sample

1st row613-81-17742
2nd row107-81-66530
3rd row515-81-23805
4th row106-81-44213
5th row119-81-81214
ValueCountFrequency (%)
613-81-17742 1
 
1.5%
137-86-41175 1
 
1.5%
313-81-00661 1
 
1.5%
621-81-36847 1
 
1.5%
215-81-00936 1
 
1.5%
123-81-37492 1
 
1.5%
313-81-16557 1
 
1.5%
617-81-50627 1
 
1.5%
120-81-59987 1
 
1.5%
119-81-27582 1
 
1.5%
Other values (56) 56
84.8%
2023-12-12T08:08:12.322193image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 162
20.5%
- 132
16.7%
8 106
13.4%
3 66
8.3%
6 59
 
7.4%
0 54
 
6.8%
2 53
 
6.7%
7 51
 
6.4%
5 40
 
5.1%
4 39
 
4.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 660
83.3%
Dash Punctuation 132
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 162
24.5%
8 106
16.1%
3 66
10.0%
6 59
 
8.9%
0 54
 
8.2%
2 53
 
8.0%
7 51
 
7.7%
5 40
 
6.1%
4 39
 
5.9%
9 30
 
4.5%
Dash Punctuation
ValueCountFrequency (%)
- 132
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 792
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
1 162
20.5%
- 132
16.7%
8 106
13.4%
3 66
8.3%
6 59
 
7.4%
0 54
 
6.8%
2 53
 
6.7%
7 51
 
6.4%
5 40
 
5.1%
4 39
 
4.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 792
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 162
20.5%
- 132
16.7%
8 106
13.4%
3 66
8.3%
6 59
 
7.4%
0 54
 
6.8%
2 53
 
6.7%
7 51
 
6.4%
5 40
 
5.1%
4 39
 
4.9%

대표자명
Text

UNIQUE 

Distinct66
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size660.0 B
2023-12-12T08:08:12.542119image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters198
Distinct characters88
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique66 ?
Unique (%)100.0%

Sample

1st row신동우
2nd row나복남
3rd row이필세
4th row이경희
5th row안병립
ValueCountFrequency (%)
신동우 1
 
1.5%
최종묵 1
 
1.5%
윤귀열 1
 
1.5%
이재홍 1
 
1.5%
김태연 1
 
1.5%
손장웅 1
 
1.5%
박윤배 1
 
1.5%
강기수 1
 
1.5%
소수일 1
 
1.5%
이건수 1
 
1.5%
Other values (56) 56
84.8%
2023-12-12T08:08:12.864466image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
김 11
 
5.6%
이 9
 
4.5%
정 8
 
4.0%
윤 7
 
3.5%
수 7
 
3.5%
경 6
 
3.0%
상 6
 
3.0%
종 4
 
2.0%
훈 4
 
2.0%
영 4
 
2.0%
Other values (78) 132
66.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 198
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
김 11
 
5.6%
이 9
 
4.5%
정 8
 
4.0%
윤 7
 
3.5%
수 7
 
3.5%
경 6
 
3.0%
상 6
 
3.0%
종 4
 
2.0%
훈 4
 
2.0%
영 4
 
2.0%
Other values (78) 132
66.7%

Most occurring scripts

ValueCountFrequency (%)
Hangul 198
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
김 11
 
5.6%
이 9
 
4.5%
정 8
 
4.0%
윤 7
 
3.5%
수 7
 
3.5%
경 6
 
3.0%
상 6
 
3.0%
종 4
 
2.0%
훈 4
 
2.0%
영 4
 
2.0%
Other values (78) 132
66.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 198
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
김 11
 
5.6%
이 9
 
4.5%
정 8
 
4.0%
윤 7
 
3.5%
수 7
 
3.5%
경 6
 
3.0%
상 6
 
3.0%
종 4
 
2.0%
훈 4
 
2.0%
영 4
 
2.0%
Other values (78) 132
66.7%

사무실전화
Text

UNIQUE 

Distinct66
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size660.0 B
2023-12-12T08:08:13.106748image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length12.015152
Min length11

Characters and Unicode

Total characters793
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

Unique66 ?
Unique (%)100.0%

Sample

1st row054-533-5887
2nd row031-431-7800
3rd row054-336-9551
4th row02-837-5333
5th row02-6670-5230
ValueCountFrequency (%)
054-533-5887 1
 
1.5%
032-565-1538 1
 
1.5%
041-933-4964 1
 
1.5%
070-8876-3804 1
 
1.5%
031-704-1893 1
 
1.5%
031-469-2268 1
 
1.5%
041-931-8058 1
 
1.5%
051-747-9400 1
 
1.5%
031-739-6100 1
 
1.5%
02-873-3333 1
 
1.5%
Other values (56) 56
84.8%
2023-12-12T08:08:13.457089image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 140
17.7%
- 132
16.6%
3 85
10.7%
1 66
8.3%
5 64
8.1%
2 64
8.1%
8 59
7.4%
7 51
 
6.4%
4 48
 
6.1%
9 43
 
5.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 661
83.4%
Dash Punctuation 132
 
16.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 140
21.2%
3 85
12.9%
1 66
10.0%
5 64
9.7%
2 64
9.7%
8 59
8.9%
7 51
 
7.7%
4 48
 
7.3%
9 43
 
6.5%
6 41
 
6.2%
Dash Punctuation
ValueCountFrequency (%)
- 132
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 793
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 140
17.7%
- 132
16.6%
3 85
10.7%
1 66
8.3%
5 64
8.1%
2 64
8.1%
8 59
7.4%
7 51
 
6.4%
4 48
 
6.1%
9 43
 
5.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 793
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 140
17.7%
- 132
16.6%
3 85
10.7%
1 66
8.3%
5 64
8.1%
2 64
8.1%
8 59
7.4%
7 51
 
6.4%
4 48
 
6.1%
9 43
 
5.4%

Interactions

2023-12-12T08:08:09.349473image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T08:08:13.552901image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순번기업명주생산품주소사업자등록번호대표자명사무실전화
순번1.0001.0000.9461.0001.0001.0001.000
기업명1.0001.0001.0001.0001.0001.0001.000
주생산품0.9461.0001.0001.0001.0001.0001.000
주소1.0001.0001.0001.0001.0001.0001.000
사업자등록번호1.0001.0001.0001.0001.0001.0001.000
대표자명1.0001.0001.0001.0001.0001.0001.000
사무실전화1.0001.0001.0001.0001.0001.0001.000

Missing values

2023-12-12T08:08:09.452987image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T08:08:09.561491image/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

순번구분기업명주생산품주소사업자등록번호대표자명사무실전화
01KOMIPO-BEST 상생협력사나노질소산화물 제거 및 대기정화용 SCR 탈질촉매경북 상주시 청리면 마공리 1188번지613-81-17742신동우054-533-5887
12KOMIPO-BEST 상생협력사대양롤랜트컨베이어 아이들러경기도 시흥시 마유로70번길 13107-81-66530나복남031-431-7800
23KOMIPO-BEST 상생협력사세운 T&SHITLIN 보온단열재경북 영천시 언하공단 4길 42515-81-23805이필세054-336-9551
34KOMIPO-BEST 상생협력사삼영필텍오일플러싱장비서울 금천구 가산동 550-1 롯데IT캐슬 2동 1118호106-81-44213이경희02-837-5333
45KOMIPO-BEST 상생협력사엔텍월드전력제어설비서울금천구가산동470-5에이스테크노타워12층119-81-81214안병립02-6670-5230
56KOMIPO-BEST 상생협력사삼현CNS서지보호기경기도 군포시 고산로 140 마스타빌딩123-81-85034김정수031-455-6061
67KOMIPO-BEST 상생협력사한진엔지니어링로드커터, 벨트키퍼경기 시흥 정왕동 시화공단 2라 425412-81-20800허인순042-863-9993
78KOMIPO-BEST 상생협력사세화엔스텍총질소 처리설비경기도 고양시 일산동구 호수로 606 코오롱레이크폴리스 A동1106호137-85-01837고동균070-5050-2626
89KOMIPO-BEST 상생협력사대영씨엔이탈질촉매강원도 강릉시 사천면 과학단지로 202-25131-81-94306노현준033-650-9000
910KOMIPO-BEST 상생협력사도원기술Ignitor경기도 성남시 중원구 상대원동 333-7 금강펜테리움 A동 401호129-81-68805김동욱031-743-5894
순번구분기업명주생산품주소사업자등록번호대표자명사무실전화
5657KOMIPO-BEST 상생협력사동서산업packing, gasket부산시 기장군 일광면 기장대로 1157621-81-71617서정권051-724-4851
5758KOMIPO-BEST 상생협력사㈜아이스기술감시제어장비,설계, 시공 외성남시 중원구 사기막골로 124 SKn테크노파크 비즈동 501호109-81-65008강신섭070-7732-7800
5859KOMIPO-BEST 상생협력사㈜오무전기전동기수리,제작서울 구로구 구일로10길 27, A-419113-81-42173강인순02-863-0224
5960KOMIPO-BEST 상생협력사옵티멀에너지서비스㈜발전정비서울시 영등포구 여의공원로 111129-81-63120이형주02-786-3277
6061KOMIPO-BEST 상생협력사㈜부영엔지니어링크랴사,컨베이어경기도 안산시 단원구 엠티브이4로 48번길 13140-81-29658이영훈031-498-2318
6162KOMIPO-BEST 상생협력사유니슨이테크㈜PIPE SUPPORT DAMPER충남 천안시 동남구 수신면 우각골길 53312-86-26756허재정041-620-3333
6263KOMIPO-BEST 상생협력사㈜건영기계설비공사충남 보령시 중앙로 180 206호313-81-28903김애자070-7622-0482
6364KOMIPO-BEST 상생협력사㈜리트코집진기 및 계장제어, 분석설비서울시 강남구 도곡로112 서한빌딩 3F,5F214-81-86794정종경02-2009-1800
6465KOMIPO-BEST 상생협력사신한전설주식회사전기공사, 발전설비공사충남 보령시 신평로 10313-81-00661윤귀열041-933-4964
6566KOMIPO-BEST 상생협력사미래자동화터빈밸브Actuator건전성진단 시험기부산 강서구 유통단지1로 41, 110동120, 220호(대저2동 부산티플렉스)603-02-56627윤계천051-316-5650