Overview

Dataset statistics

Number of variables8
Number of observations430
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory27.4 KiB
Average record size in memory65.3 B

Variable types

Numeric1
Categorical2
Text5

Dataset

Description중소벤처기업진흥공단에서 관리하고 있는 전국단위 수출기업인 모임인 글로벌CEO클럽의 회원사 명단입니다.15개 지회 약 1,000개사로 운영되고 있으며, 정기총회, 워크샵 등을 통한 수출기업간 교류 및 수출초보기업 멘토링 활동을 하고 있습니다.
Author중소벤처기업진흥공단
URLhttps://www.data.go.kr/data/15116276/fileData.do

Alerts

연번 is highly overall correlated with 권역High correlation
권역 is highly overall correlated with 연번High correlation
직위 is highly imbalanced (75.2%)Imbalance
연번 has unique valuesUnique

Reproduction

Analysis started2023-12-12 07:30:49.407977
Analysis finished2023-12-12 07:30:50.683750
Duration1.28 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct430
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean215.5
Minimum1
Maximum430
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.9 KiB
2023-12-12T16:30:50.767233image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile22.45
Q1108.25
median215.5
Q3322.75
95-th percentile408.55
Maximum430
Range429
Interquartile range (IQR)214.5

Descriptive statistics

Standard deviation124.27456
Coefficient of variation (CV)0.5766801
Kurtosis-1.2
Mean215.5
Median Absolute Deviation (MAD)107.5
Skewness0
Sum92665
Variance15444.167
MonotonicityStrictly increasing
2023-12-12T16:30:50.914738image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.2%
297 1
 
0.2%
295 1
 
0.2%
294 1
 
0.2%
293 1
 
0.2%
292 1
 
0.2%
291 1
 
0.2%
290 1
 
0.2%
289 1
 
0.2%
288 1
 
0.2%
Other values (420) 420
97.7%
ValueCountFrequency (%)
1 1
0.2%
2 1
0.2%
3 1
0.2%
4 1
0.2%
5 1
0.2%
6 1
0.2%
7 1
0.2%
8 1
0.2%
9 1
0.2%
10 1
0.2%
ValueCountFrequency (%)
430 1
0.2%
429 1
0.2%
428 1
0.2%
427 1
0.2%
426 1
0.2%
425 1
0.2%
424 1
0.2%
423 1
0.2%
422 1
0.2%
421 1
0.2%

권역
Categorical

HIGH CORRELATION 

Distinct13
Distinct (%)3.0%
Missing0
Missing (%)0.0%
Memory size3.5 KiB
경기지회
72 
서울지회
68 
인천지회
64 
경남지회
38 
충청지회
37 
Other values (8)
151 

Length

Max length6
Median length4
Mean length4.255814
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
경기지회 72
16.7%
서울지회 68
15.8%
인천지회 64
14.9%
경남지회 38
8.8%
충청지회 37
8.6%
대구경북지회 35
8.1%
강원지회 24
 
5.6%
전북지회 24
 
5.6%
광주전남지회 20
 
4.7%
부산지회 15
 
3.5%
Other values (3) 33
7.7%

Length

2023-12-12T16:30:51.049069image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
경기지회 72
16.7%
서울지회 68
15.8%
인천지회 64
14.9%
경남지회 38
8.8%
충청지회 37
8.6%
대구경북지회 35
8.1%
강원지회 24
 
5.6%
전북지회 24
 
5.6%
광주전남지회 20
 
4.7%
부산지회 15
 
3.5%
Other values (3) 33
7.7%

회사명
Text

Distinct143
Distinct (%)33.3%
Missing0
Missing (%)0.0%
Memory size3.5 KiB
2023-12-12T16:30:51.372284image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length5
Median length5
Mean length5
Min length5

Characters and Unicode

Total characters2150
Distinct characters144
Distinct categories4 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique67 ?
Unique (%)15.6%

Sample

1st row한****
2nd row케****
3rd row삼****
4th row신****
5th row덕****
ValueCountFrequency (%)
대 24
 
5.6%
에 19
 
4.4%
한 16
 
3.7%
삼 12
 
2.8%
신 12
 
2.8%
코 11
 
2.6%
유 11
 
2.6%
제 10
 
2.3%
이 9
 
2.1%
세 9
 
2.1%
Other values (133) 297
69.1%
2023-12-12T16:30:51.788596image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
* 1720
80.0%
대 24
 
1.1%
에 19
 
0.9%
한 16
 
0.7%
삼 12
 
0.6%
신 12
 
0.6%
코 11
 
0.5%
유 11
 
0.5%
제 10
 
0.5%
이 9
 
0.4%
Other values (134) 306
 
14.2%

Most occurring categories

ValueCountFrequency (%)
Other Punctuation 1720
80.0%
Other Letter 426
 
19.8%
Uppercase Letter 3
 
0.1%
Decimal Number 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
대 24
 
5.6%
에 19
 
4.5%
한 16
 
3.8%
삼 12
 
2.8%
신 12
 
2.8%
코 11
 
2.6%
유 11
 
2.6%
제 10
 
2.3%
이 9
 
2.1%
세 9
 
2.1%
Other values (129) 293
68.8%
Uppercase Letter
ValueCountFrequency (%)
G 1
33.3%
C 1
33.3%
D 1
33.3%
Other Punctuation
ValueCountFrequency (%)
* 1720
100.0%
Decimal Number
ValueCountFrequency (%)
2 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1721
80.0%
Hangul 426
 
19.8%
Latin 3
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
대 24
 
5.6%
에 19
 
4.5%
한 16
 
3.8%
삼 12
 
2.8%
신 12
 
2.8%
코 11
 
2.6%
유 11
 
2.6%
제 10
 
2.3%
이 9
 
2.1%
세 9
 
2.1%
Other values (129) 293
68.8%
Latin
ValueCountFrequency (%)
G 1
33.3%
C 1
33.3%
D 1
33.3%
Common
ValueCountFrequency (%)
* 1720
99.9%
2 1
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1724
80.2%
Hangul 426
 
19.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
* 1720
99.8%
2 1
 
0.1%
G 1
 
0.1%
C 1
 
0.1%
D 1
 
0.1%
Hangul
ValueCountFrequency (%)
대 24
 
5.6%
에 19
 
4.5%
한 16
 
3.8%
삼 12
 
2.8%
신 12
 
2.8%
코 11
 
2.6%
유 11
 
2.6%
제 10
 
2.3%
이 9
 
2.1%
세 9
 
2.1%
Other values (129) 293
68.8%

회원명
Text

Distinct351
Distinct (%)81.6%
Missing0
Missing (%)0.0%
Memory size3.5 KiB
2023-12-12T16:30:52.250356image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters1290
Distinct characters146
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

Unique297 ?
Unique (%)69.1%

Sample

1st row김*자
2nd row박*규
3rd row이*일
4th row신*식
5th row김*상
ValueCountFrequency (%)
김*석 5
 
1.2%
김*식 4
 
0.9%
박*현 4
 
0.9%
김*철 4
 
0.9%
박*규 4
 
0.9%
김*일 4
 
0.9%
이*우 4
 
0.9%
이*영 3
 
0.7%
김*진 3
 
0.7%
김*곤 3
 
0.7%
Other values (341) 392
91.2%
2023-12-12T16:30:52.831830image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
* 430
33.3%
김 83
 
6.4%
이 55
 
4.3%
박 40
 
3.1%
정 25
 
1.9%
수 23
 
1.8%
최 22
 
1.7%
석 18
 
1.4%
호 16
 
1.2%
현 15
 
1.2%
Other values (136) 563
43.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 860
66.7%
Other Punctuation 430
33.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
김 83
 
9.7%
이 55
 
6.4%
박 40
 
4.7%
정 25
 
2.9%
수 23
 
2.7%
최 22
 
2.6%
석 18
 
2.1%
호 16
 
1.9%
현 15
 
1.7%
조 15
 
1.7%
Other values (135) 548
63.7%
Other Punctuation
ValueCountFrequency (%)
* 430
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 860
66.7%
Common 430
33.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
김 83
 
9.7%
이 55
 
6.4%
박 40
 
4.7%
정 25
 
2.9%
수 23
 
2.7%
최 22
 
2.6%
석 18
 
2.1%
호 16
 
1.9%
현 15
 
1.7%
조 15
 
1.7%
Other values (135) 548
63.7%
Common
ValueCountFrequency (%)
* 430
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 860
66.7%
ASCII 430
33.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
* 430
100.0%
Hangul
ValueCountFrequency (%)
김 83
 
9.7%
이 55
 
6.4%
박 40
 
4.7%
정 25
 
2.9%
수 23
 
2.7%
최 22
 
2.6%
석 18
 
2.1%
호 16
 
1.9%
현 15
 
1.7%
조 15
 
1.7%
Other values (135) 548
63.7%

직위
Categorical

IMBALANCE 

Distinct13
Distinct (%)3.0%
Missing0
Missing (%)0.0%
Memory size3.5 KiB
대표이사
378 
회장
 
11
대표
 
8
이사
 
8
부사장
 
6
Other values (8)
 
19

Length

Max length7
Median length4
Mean length3.827907
Min length2

Unique

Unique3 ?
Unique (%)0.7%

Sample

1st row부사장
2nd row대표이사
3rd row대표이사
4th row대표이사
5th row대표

Common Values

ValueCountFrequency (%)
대표이사 378
87.9%
회장 11
 
2.6%
대표 8
 
1.9%
이사 8
 
1.9%
부사장 6
 
1.4%
사장 6
 
1.4%
전무 3
 
0.7%
대표이사 회장 3
 
0.7%
상무이사 2
 
0.5%
부회장 2
 
0.5%
Other values (3) 3
 
0.7%

Length

2023-12-12T16:30:52.988852image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
대표이사 381
88.0%
회장 14
 
3.2%
대표 8
 
1.8%
이사 8
 
1.8%
부사장 6
 
1.4%
사장 6
 
1.4%
전무 3
 
0.7%
상무이사 2
 
0.5%
부회장 2
 
0.5%
고문 1
 
0.2%
Other values (2) 2
 
0.5%

설립연도
Text

Distinct53
Distinct (%)12.3%
Missing0
Missing (%)0.0%
Memory size3.5 KiB
2023-12-12T16:30:53.269768image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length4
Median length4
Mean length4
Min length4

Characters and Unicode

Total characters1720
Distinct characters14
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

Unique4 ?
Unique (%)0.9%

Sample

1st row1986
2nd row1995
3rd row1977
4th row2004
5th row1990
ValueCountFrequency (%)
정보없음 25
 
5.8%
1999 23
 
5.3%
2000 21
 
4.9%
2009 20
 
4.7%
2010 19
 
4.4%
2004 18
 
4.2%
1998 18
 
4.2%
2001 17
 
4.0%
2005 16
 
3.7%
2008 15
 
3.5%
Other values (43) 238
55.3%
2023-12-12T16:30:53.665470image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 436
25.3%
9 340
19.8%
1 287
16.7%
2 262
15.2%
8 83
 
4.8%
7 64
 
3.7%
4 41
 
2.4%
5 38
 
2.2%
6 36
 
2.1%
3 33
 
1.9%
Other values (4) 100
 
5.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1620
94.2%
Other Letter 100
 
5.8%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 436
26.9%
9 340
21.0%
1 287
17.7%
2 262
16.2%
8 83
 
5.1%
7 64
 
4.0%
4 41
 
2.5%
5 38
 
2.3%
6 36
 
2.2%
3 33
 
2.0%
Other Letter
ValueCountFrequency (%)
정 25
25.0%
보 25
25.0%
없 25
25.0%
음 25
25.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1620
94.2%
Hangul 100
 
5.8%

Most frequent character per script

Common
ValueCountFrequency (%)
0 436
26.9%
9 340
21.0%
1 287
17.7%
2 262
16.2%
8 83
 
5.1%
7 64
 
4.0%
4 41
 
2.5%
5 38
 
2.3%
6 36
 
2.2%
3 33
 
2.0%
Hangul
ValueCountFrequency (%)
정 25
25.0%
보 25
25.0%
없 25
25.0%
음 25
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1620
94.2%
Hangul 100
 
5.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 436
26.9%
9 340
21.0%
1 287
17.7%
2 262
16.2%
8 83
 
5.1%
7 64
 
4.0%
4 41
 
2.5%
5 38
 
2.3%
6 36
 
2.2%
3 33
 
2.0%
Hangul
ValueCountFrequency (%)
정 25
25.0%
보 25
25.0%
없 25
25.0%
음 25
25.0%

주생산품
Text

Distinct400
Distinct (%)93.0%
Missing0
Missing (%)0.0%
Memory size3.5 KiB
2023-12-12T16:30:54.054720image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length106
Median length41
Mean length13.167442
Min length2

Characters and Unicode

Total characters5662
Distinct characters501
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique394 ?
Unique (%)91.6%

Sample

1st row김치
2nd row유공압 실린더, 밸브 등 공장자동화 부품
3rd row모피의류
4th row아웃도어복
5th row남성용와이셔츠, 파자마
ValueCountFrequency (%)
및 39
 
3.3%
등 28
 
2.4%
외 22
 
1.9%
정보없음 18
 
1.5%
부품 17
 
1.5%
자동차부품 15
 
1.3%
화장품 10
 
0.9%
제조 10
 
0.9%
자동차 9
 
0.8%
산업용 7
 
0.6%
Other values (862) 996
85.1%
2023-12-12T16:30:54.592612image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
744
 
13.1%
, 320
 
5.7%
기 148
 
2.6%
품 132
 
2.3%
용 83
 
1.5%
부 77
 
1.4%
스 77
 
1.4%
장 72
 
1.3%
자 72
 
1.3%
제 71
 
1.3%
Other values (491) 3866
68.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3802
67.1%
Space Separator 744
 
13.1%
Uppercase Letter 391
 
6.9%
Other Punctuation 346
 
6.1%
Lowercase Letter 290
 
5.1%
Close Punctuation 39
 
0.7%
Open Punctuation 39
 
0.7%
Dash Punctuation 5
 
0.1%
Decimal Number 5
 
0.1%
Math Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
기 148
 
3.9%
품 132
 
3.5%
용 83
 
2.2%
부 77
 
2.0%
스 77
 
2.0%
장 72
 
1.9%
자 72
 
1.9%
제 71
 
1.9%
동 68
 
1.8%
이 63
 
1.7%
Other values (427) 2939
77.3%
Uppercase Letter
ValueCountFrequency (%)
C 40
 
10.2%
E 35
 
9.0%
P 34
 
8.7%
S 28
 
7.2%
T 28
 
7.2%
D 27
 
6.9%
L 21
 
5.4%
A 20
 
5.1%
R 18
 
4.6%
O 17
 
4.3%
Other values (14) 123
31.5%
Lowercase Letter
ValueCountFrequency (%)
e 36
12.4%
i 28
 
9.7%
t 26
 
9.0%
r 24
 
8.3%
a 21
 
7.2%
l 21
 
7.2%
o 19
 
6.6%
n 18
 
6.2%
s 12
 
4.1%
c 11
 
3.8%
Other values (14) 74
25.5%
Other Punctuation
ValueCountFrequency (%)
, 320
92.5%
/ 10
 
2.9%
. 8
 
2.3%
& 4
 
1.2%
' 3
 
0.9%
· 1
 
0.3%
Decimal Number
ValueCountFrequency (%)
2 1
20.0%
5 1
20.0%
1 1
20.0%
0 1
20.0%
3 1
20.0%
Space Separator
ValueCountFrequency (%)
744
100.0%
Close Punctuation
ValueCountFrequency (%)
) 39
100.0%
Open Punctuation
ValueCountFrequency (%)
( 39
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 5
100.0%
Math Symbol
ValueCountFrequency (%)
+ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3802
67.1%
Common 1179
 
20.8%
Latin 681
 
12.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
기 148
 
3.9%
품 132
 
3.5%
용 83
 
2.2%
부 77
 
2.0%
스 77
 
2.0%
장 72
 
1.9%
자 72
 
1.9%
제 71
 
1.9%
동 68
 
1.8%
이 63
 
1.7%
Other values (427) 2939
77.3%
Latin
ValueCountFrequency (%)
C 40
 
5.9%
e 36
 
5.3%
E 35
 
5.1%
P 34
 
5.0%
i 28
 
4.1%
S 28
 
4.1%
T 28
 
4.1%
D 27
 
4.0%
t 26
 
3.8%
r 24
 
3.5%
Other values (38) 375
55.1%
Common
ValueCountFrequency (%)
744
63.1%
, 320
27.1%
) 39
 
3.3%
( 39
 
3.3%
/ 10
 
0.8%
. 8
 
0.7%
- 5
 
0.4%
& 4
 
0.3%
' 3
 
0.3%
2 1
 
0.1%
Other values (6) 6
 
0.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3802
67.1%
ASCII 1859
32.8%
None 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
744
40.0%
, 320
17.2%
C 40
 
2.2%
) 39
 
2.1%
( 39
 
2.1%
e 36
 
1.9%
E 35
 
1.9%
P 34
 
1.8%
i 28
 
1.5%
S 28
 
1.5%
Other values (53) 516
27.8%
Hangul
ValueCountFrequency (%)
기 148
 
3.9%
품 132
 
3.5%
용 83
 
2.2%
부 77
 
2.0%
스 77
 
2.0%
장 72
 
1.9%
자 72
 
1.9%
제 71
 
1.9%
동 68
 
1.8%
이 63
 
1.7%
Other values (427) 2939
77.3%
None
ValueCountFrequency (%)
· 1
100.0%

주요수출국
Text

Distinct99
Distinct (%)23.0%
Missing0
Missing (%)0.0%
Memory size3.5 KiB
2023-12-12T16:30:54.932943image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length103
Median length4
Mean length6.6511628
Min length2

Characters and Unicode

Total characters2860
Distinct characters139
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

Unique89 ?
Unique (%)20.7%

Sample

1st row중국, 베트남, 인도네시아, 일본 등
2nd row미국,일본,유럽외 다수국가
3rd row정보없음
4th row미국, 캐나다, 스페인, 이태리 등
5th row미얀마 현지공장
ValueCountFrequency (%)
정보없음 321
44.5%
중국 56
 
7.8%
미국 42
 
5.8%
일본 35
 
4.8%
베트남 25
 
3.5%
등 19
 
2.6%
멕시코 15
 
2.1%
인도 12
 
1.7%
유럽 10
 
1.4%
태국 10
 
1.4%
Other values (79) 177
24.5%
2023-12-12T16:30:55.429305image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
정 321
11.2%
보 321
11.2%
없 321
11.2%
음 321
11.2%
294
 
10.3%
, 255
 
8.9%
국 127
 
4.4%
중 60
 
2.1%
미 50
 
1.7%
일 47
 
1.6%
Other values (129) 743
26.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2282
79.8%
Space Separator 294
 
10.3%
Other Punctuation 255
 
8.9%
Decimal Number 20
 
0.7%
Uppercase Letter 7
 
0.2%
Close Punctuation 1
 
< 0.1%
Open Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
정 321
14.1%
보 321
14.1%
없 321
14.1%
음 321
14.1%
국 127
 
5.6%
중 60
 
2.6%
미 50
 
2.2%
일 47
 
2.1%
아 42
 
1.8%
시 38
 
1.7%
Other values (112) 634
27.8%
Decimal Number
ValueCountFrequency (%)
0 6
30.0%
2 5
25.0%
3 2
 
10.0%
4 2
 
10.0%
5 2
 
10.0%
1 1
 
5.0%
7 1
 
5.0%
9 1
 
5.0%
Uppercase Letter
ValueCountFrequency (%)
E 2
28.6%
U 2
28.6%
C 1
14.3%
I 1
14.3%
S 1
14.3%
Space Separator
ValueCountFrequency (%)
294
100.0%
Other Punctuation
ValueCountFrequency (%)
, 255
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2282
79.8%
Common 571
 
20.0%
Latin 7
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
정 321
14.1%
보 321
14.1%
없 321
14.1%
음 321
14.1%
국 127
 
5.6%
중 60
 
2.6%
미 50
 
2.2%
일 47
 
2.1%
아 42
 
1.8%
시 38
 
1.7%
Other values (112) 634
27.8%
Common
ValueCountFrequency (%)
294
51.5%
, 255
44.7%
0 6
 
1.1%
2 5
 
0.9%
3 2
 
0.4%
4 2
 
0.4%
5 2
 
0.4%
1 1
 
0.2%
) 1
 
0.2%
7 1
 
0.2%
Other values (2) 2
 
0.4%
Latin
ValueCountFrequency (%)
E 2
28.6%
U 2
28.6%
C 1
14.3%
I 1
14.3%
S 1
14.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2282
79.8%
ASCII 578
 
20.2%

Most frequent character per block

Hangul
ValueCountFrequency (%)
정 321
14.1%
보 321
14.1%
없 321
14.1%
음 321
14.1%
국 127
 
5.6%
중 60
 
2.6%
미 50
 
2.2%
일 47
 
2.1%
아 42
 
1.8%
시 38
 
1.7%
Other values (112) 634
27.8%
ASCII
ValueCountFrequency (%)
294
50.9%
, 255
44.1%
0 6
 
1.0%
2 5
 
0.9%
3 2
 
0.3%
E 2
 
0.3%
U 2
 
0.3%
4 2
 
0.3%
5 2
 
0.3%
1 1
 
0.2%
Other values (7) 7
 
1.2%

Interactions

2023-12-12T16:30:50.291391image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T16:30:55.556513image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번권역직위설립연도주요수출국
연번1.0000.9460.1460.3800.258
권역0.9461.0000.2520.2150.464
직위0.1460.2521.0000.7130.796
설립연도0.3800.2150.7131.0000.775
주요수출국0.2580.4640.7960.7751.000
2023-12-12T16:30:55.671181image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
권역직위
권역1.0000.071
직위0.0711.000
2023-12-12T16:30:55.771355image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번권역직위
연번1.0000.7940.060
권역0.7941.0000.071
직위0.0600.0711.000

Missing values

2023-12-12T16:30:50.456080image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T16:30:50.634858image/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

연번권역회사명회원명직위설립연도주생산품주요수출국
01서울지회한****김*자부사장1986김치중국, 베트남, 인도네시아, 일본 등
12서울지회케****박*규대표이사1995유공압 실린더, 밸브 등 공장자동화 부품미국,일본,유럽외 다수국가
23서울지회삼****이*일대표이사1977모피의류정보없음
34서울지회신****신*식대표이사2004아웃도어복미국, 캐나다, 스페인, 이태리 등
45서울지회덕****김*상대표1990남성용와이셔츠, 파자마미얀마 현지공장
56서울지회다****권*길대표이사2004의류 제조미국, 캐나다
67서울지회태****박*문상무이사2014여성 수영복영국, 호주, 미국, 중국, 기타 40개국
78서울지회해****김*일대표이사2002섬유, 의류, 핸드백중국, 대만
89서울지회신****최*구대표이사2006에폭시, 아크릴 수지 및 경화제, UV조액, 복합재료 등미국, 유럽
910서울지회두****박*규대표이사1997글라스락, 테팔 (유통밴더)중국, 대만
연번권역회사명회원명직위설립연도주생산품주요수출국
420421경남지회태****최*환대표이사2007가스탱크, 선박구성부분품 외정보없음
421422경남지회두****권*현대표이사정보없음정보없음정보없음
422423경남지회모****김*두대표이사2003전기차 충전기, 전기공급 및 제어장치정보없음
423424경남지회알****김*석대표이사1999공업용 영처리금, 발전소 건설 플랜트정보없음
424425경남지회이****윤*식대표이사2012폴리에스테르 레진정보없음
425426제주지회백****문*택대표이사2008돼지고기정보없음
426427제주지회대****송*택대표이사2005ESS, 태양광 관련, 수배전단 및 제어반정보없음
427428제주지회나****양*혁대표이사2016Ai 솔루션, 태양광 하드웨어정보없음
428429제주지회제****이*섭대표이사2012운수(화물운송)정보없음
429430제주지회제****이*기대표이사2005계란정보없음