Overview

Dataset statistics

Number of variables8
Number of observations30
Missing cells3
Missing cells (%)1.2%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory2.0 KiB
Average record size in memory68.4 B

Variable types

Text8

Dataset

Description순천시 수출업체 현황에 대한(업체명, 담당자, 대표자, 수출품목, 전화 등)을 나타내는 공공데이터 파일 입니다.
URLhttps://www.data.go.kr/data/3072830/fileData.do

Alerts

담당자 has 3 (10.0%) missing valuesMissing
업체명 has unique valuesUnique
대표자 has unique valuesUnique
수출품목 has unique valuesUnique
전화 has unique valuesUnique
팩스 has unique valuesUnique

Reproduction

Analysis started2023-12-12 01:37:26.409993
Analysis finished2023-12-12 01:37:27.332102
Duration0.92 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

업체명
Text

UNIQUE 

Distinct30
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size372.0 B
2023-12-12T10:37:27.557614image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length19
Median length9
Mean length7.0666667
Min length3

Characters and Unicode

Total characters212
Distinct characters106
Distinct categories6 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique30 ?
Unique (%)100.0%

Sample

1st row매일식품(주)
2nd row(주)한국카라겐
3rd row순천농협남도식품
4th row명인신광수차
5th row낙안배영농법인
ValueCountFrequency (%)
매일식품(주 1
 
3.3%
주)한국카라겐 1
 
3.3%
주)폴리맥스 1
 
3.3%
라인호 1
 
3.3%
현대하이스코 1
 
3.3%
주)지본코스메틱 1
 
3.3%
현대엔테크 1
 
3.3%
주)신성글러브 1
 
3.3%
태광메디팜 1
 
3.3%
주)동영산업 1
 
3.3%
Other values (20) 20
66.7%
2023-12-12T10:37:28.085537image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 14
 
6.6%
) 14
 
6.6%
( 14
 
6.6%
스 7
 
3.3%
인 5
 
2.4%
크 5
 
2.4%
테 4
 
1.9%
신 4
 
1.9%
이 3
 
1.4%
㈜ 3
 
1.4%
Other values (96) 139
65.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 175
82.5%
Close Punctuation 14
 
6.6%
Open Punctuation 14
 
6.6%
Uppercase Letter 5
 
2.4%
Other Symbol 3
 
1.4%
Other Punctuation 1
 
0.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 14
 
8.0%
스 7
 
4.0%
인 5
 
2.9%
크 5
 
2.9%
테 4
 
2.3%
신 4
 
2.3%
이 3
 
1.7%
에 3
 
1.7%
법 3
 
1.7%
영 3
 
1.7%
Other values (88) 124
70.9%
Uppercase Letter
ValueCountFrequency (%)
C 2
40.0%
E 1
20.0%
A 1
20.0%
P 1
20.0%
Close Punctuation
ValueCountFrequency (%)
) 14
100.0%
Open Punctuation
ValueCountFrequency (%)
( 14
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 3
100.0%
Other Punctuation
ValueCountFrequency (%)
& 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 178
84.0%
Common 29
 
13.7%
Latin 5
 
2.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 14
 
7.9%
스 7
 
3.9%
인 5
 
2.8%
크 5
 
2.8%
테 4
 
2.2%
신 4
 
2.2%
이 3
 
1.7%
㈜ 3
 
1.7%
에 3
 
1.7%
법 3
 
1.7%
Other values (89) 127
71.3%
Latin
ValueCountFrequency (%)
C 2
40.0%
E 1
20.0%
A 1
20.0%
P 1
20.0%
Common
ValueCountFrequency (%)
) 14
48.3%
( 14
48.3%
& 1
 
3.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 175
82.5%
ASCII 34
 
16.0%
None 3
 
1.4%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 14
 
8.0%
스 7
 
4.0%
인 5
 
2.9%
크 5
 
2.9%
테 4
 
2.3%
신 4
 
2.3%
이 3
 
1.7%
에 3
 
1.7%
법 3
 
1.7%
영 3
 
1.7%
Other values (88) 124
70.9%
ASCII
ValueCountFrequency (%)
) 14
41.2%
( 14
41.2%
C 2
 
5.9%
E 1
 
2.9%
& 1
 
2.9%
A 1
 
2.9%
P 1
 
2.9%
None
ValueCountFrequency (%)
㈜ 3
100.0%

담당자
Text

MISSING 

Distinct27
Distinct (%)100.0%
Missing3
Missing (%)10.0%
Memory size372.0 B
2023-12-12T10:37:28.385134image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length6
Median length3
Mean length3.5925926
Min length3

Characters and Unicode

Total characters97
Distinct characters54
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

Unique27 ?
Unique (%)100.0%

Sample

1st row김옥주 부장
2nd row김재윤
3rd row최용진실장
4th row김은옥
5th row이호진
ValueCountFrequency (%)
김옥주 1
 
3.4%
팀장 1
 
3.4%
손명기 1
 
3.4%
조현선 1
 
3.4%
정지혜 1
 
3.4%
서영채 1
 
3.4%
김난영 1
 
3.4%
오병래 1
 
3.4%
양정현 1
 
3.4%
박진철 1
 
3.4%
Other values (19) 19
65.5%
2023-12-12T10:37:28.870068image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
김 5
 
5.2%
정 5
 
5.2%
영 5
 
5.2%
장 4
 
4.1%
이 4
 
4.1%
조 4
 
4.1%
진 4
 
4.1%
재 3
 
3.1%
최 3
 
3.1%
희 3
 
3.1%
Other values (44) 57
58.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 95
97.9%
Space Separator 2
 
2.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
김 5
 
5.3%
정 5
 
5.3%
영 5
 
5.3%
장 4
 
4.2%
이 4
 
4.2%
조 4
 
4.2%
진 4
 
4.2%
재 3
 
3.2%
최 3
 
3.2%
희 3
 
3.2%
Other values (43) 55
57.9%
Space Separator
ValueCountFrequency (%)
2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 95
97.9%
Common 2
 
2.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
김 5
 
5.3%
정 5
 
5.3%
영 5
 
5.3%
장 4
 
4.2%
이 4
 
4.2%
조 4
 
4.2%
진 4
 
4.2%
재 3
 
3.2%
최 3
 
3.2%
희 3
 
3.2%
Other values (43) 55
57.9%
Common
ValueCountFrequency (%)
2
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 95
97.9%
ASCII 2
 
2.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
김 5
 
5.3%
정 5
 
5.3%
영 5
 
5.3%
장 4
 
4.2%
이 4
 
4.2%
조 4
 
4.2%
진 4
 
4.2%
재 3
 
3.2%
최 3
 
3.2%
희 3
 
3.2%
Other values (43) 55
57.9%
ASCII
ValueCountFrequency (%)
2
100.0%

대표자
Text

UNIQUE 

Distinct30
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size372.0 B
2023-12-12T10:37:29.184366image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length3
Mean length3.2333333
Min length2

Characters and Unicode

Total characters97
Distinct characters54
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

Unique30 ?
Unique (%)100.0%

Sample

1st row오무
2nd row김진선
3rd row김서현
4th row신광수
5th row김용화
ValueCountFrequency (%)
오무 1
 
3.3%
김진선 1
 
3.3%
안은섭 1
 
3.3%
라이너신라이히 1
 
3.3%
김원갑 1
 
3.3%
이범선 1
 
3.3%
오병래 1
 
3.3%
강영춘 1
 
3.3%
장철우 1
 
3.3%
조현식 1
 
3.3%
Other values (20) 20
66.7%
2023-12-12T10:37:29.686316image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
김 7
 
7.2%
이 7
 
7.2%
정 3
 
3.1%
신 3
 
3.1%
기 3
 
3.1%
강 3
 
3.1%
동 3
 
3.1%
현 3
 
3.1%
선 3
 
3.1%
식 3
 
3.1%
Other values (44) 59
60.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 97
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
김 7
 
7.2%
이 7
 
7.2%
정 3
 
3.1%
신 3
 
3.1%
기 3
 
3.1%
강 3
 
3.1%
동 3
 
3.1%
현 3
 
3.1%
선 3
 
3.1%
식 3
 
3.1%
Other values (44) 59
60.8%

Most occurring scripts

ValueCountFrequency (%)
Hangul 97
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
김 7
 
7.2%
이 7
 
7.2%
정 3
 
3.1%
신 3
 
3.1%
기 3
 
3.1%
강 3
 
3.1%
동 3
 
3.1%
현 3
 
3.1%
선 3
 
3.1%
식 3
 
3.1%
Other values (44) 59
60.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 97
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
김 7
 
7.2%
이 7
 
7.2%
정 3
 
3.1%
신 3
 
3.1%
기 3
 
3.1%
강 3
 
3.1%
동 3
 
3.1%
현 3
 
3.1%
선 3
 
3.1%
식 3
 
3.1%
Other values (44) 59
60.8%

주소
Text

Distinct29
Distinct (%)96.7%
Missing0
Missing (%)0.0%
Memory size372.0 B
2023-12-12T10:37:29.966714image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length19.5
Mean length15.1
Min length13

Characters and Unicode

Total characters453
Distinct characters69
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

Unique28 ?
Unique (%)93.3%

Sample

1st row순천시 서면 산단1길 16
2nd row순천시 서면 산단4길 90
3rd row순천시 녹색로 1404-6(대룡동)
4th row순천시 승주읍 승주괴목2길 25
5th row순천시 낙안면 조정래길 497
ValueCountFrequency (%)
순천시 30
25.9%
서면 12
 
10.3%
별량면 6
 
5.2%
산단4길 5
 
4.3%
녹색로 4
 
3.4%
산단1길 4
 
3.4%
해룡면 3
 
2.6%
15 2
 
1.7%
1 2
 
1.7%
12 2
 
1.7%
Other values (42) 46
39.7%
2023-12-12T10:37:30.419254image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
86
19.0%
천 31
 
6.8%
순 30
 
6.6%
시 30
 
6.6%
면 24
 
5.3%
1 22
 
4.9%
길 20
 
4.4%
산 14
 
3.1%
4 14
 
3.1%
서 13
 
2.9%
Other values (59) 169
37.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 268
59.2%
Decimal Number 87
 
19.2%
Space Separator 86
 
19.0%
Close Punctuation 4
 
0.9%
Open Punctuation 4
 
0.9%
Dash Punctuation 4
 
0.9%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
천 31
 
11.6%
순 30
 
11.2%
시 30
 
11.2%
면 24
 
9.0%
길 20
 
7.5%
산 14
 
5.2%
서 13
 
4.9%
단 12
 
4.5%
로 8
 
3.0%
량 6
 
2.2%
Other values (45) 80
29.9%
Decimal Number
ValueCountFrequency (%)
1 22
25.3%
4 14
16.1%
2 10
11.5%
5 9
10.3%
3 8
 
9.2%
0 8
 
9.2%
6 6
 
6.9%
9 5
 
5.7%
8 3
 
3.4%
7 2
 
2.3%
Space Separator
ValueCountFrequency (%)
86
100.0%
Close Punctuation
ValueCountFrequency (%)
) 4
100.0%
Open Punctuation
ValueCountFrequency (%)
( 4
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 268
59.2%
Common 185
40.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
천 31
 
11.6%
순 30
 
11.2%
시 30
 
11.2%
면 24
 
9.0%
길 20
 
7.5%
산 14
 
5.2%
서 13
 
4.9%
단 12
 
4.5%
로 8
 
3.0%
량 6
 
2.2%
Other values (45) 80
29.9%
Common
ValueCountFrequency (%)
86
46.5%
1 22
 
11.9%
4 14
 
7.6%
2 10
 
5.4%
5 9
 
4.9%
3 8
 
4.3%
0 8
 
4.3%
6 6
 
3.2%
9 5
 
2.7%
) 4
 
2.2%
Other values (4) 13
 
7.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 268
59.2%
ASCII 185
40.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
86
46.5%
1 22
 
11.9%
4 14
 
7.6%
2 10
 
5.4%
5 9
 
4.9%
3 8
 
4.3%
0 8
 
4.3%
6 6
 
3.2%
9 5
 
2.7%
) 4
 
2.2%
Other values (4) 13
 
7.0%
Hangul
ValueCountFrequency (%)
천 31
 
11.6%
순 30
 
11.2%
시 30
 
11.2%
면 24
 
9.0%
길 20
 
7.5%
산 14
 
5.2%
서 13
 
4.9%
단 12
 
4.5%
로 8
 
3.0%
량 6
 
2.2%
Other values (45) 80
29.9%

수출품목
Text

UNIQUE 

Distinct30
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size372.0 B
2023-12-12T10:37:30.659888image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length8
Median length6
Mean length4.4666667
Min length1

Characters and Unicode

Total characters134
Distinct characters95
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

Unique30 ?
Unique (%)100.0%

Sample

1st row된장, 간장
2nd row카라기난
3rd row김치
4th row녹차
5th row배
ValueCountFrequency (%)
녹차 2
 
5.9%
된장 1
 
2.9%
방역용살충제 1
 
2.9%
태양광트래커 1
 
2.9%
브레크패드 1
 
2.9%
발전기 1
 
2.9%
철강구조물 1
 
2.9%
유동팬 1
 
2.9%
방화문 1
 
2.9%
기능성장갑 1
 
2.9%
Other values (23) 23
67.6%
2023-12-12T10:37:31.100754image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
, 5
 
3.7%
4
 
3.0%
차 4
 
3.0%
조 3
 
2.2%
장 3
 
2.2%
라 3
 
2.2%
기 3
 
2.2%
코 3
 
2.2%
스 3
 
2.2%
녹 3
 
2.2%
Other values (85) 100
74.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 125
93.3%
Other Punctuation 5
 
3.7%
Space Separator 4
 
3.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
차 4
 
3.2%
조 3
 
2.4%
장 3
 
2.4%
라 3
 
2.4%
기 3
 
2.4%
코 3
 
2.4%
스 3
 
2.4%
녹 3
 
2.4%
이 2
 
1.6%
제 2
 
1.6%
Other values (83) 96
76.8%
Other Punctuation
ValueCountFrequency (%)
, 5
100.0%
Space Separator
ValueCountFrequency (%)
4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 125
93.3%
Common 9
 
6.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
차 4
 
3.2%
조 3
 
2.4%
장 3
 
2.4%
라 3
 
2.4%
기 3
 
2.4%
코 3
 
2.4%
스 3
 
2.4%
녹 3
 
2.4%
이 2
 
1.6%
제 2
 
1.6%
Other values (83) 96
76.8%
Common
ValueCountFrequency (%)
, 5
55.6%
4
44.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 125
93.3%
ASCII 9
 
6.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
, 5
55.6%
4
44.4%
Hangul
ValueCountFrequency (%)
차 4
 
3.2%
조 3
 
2.4%
장 3
 
2.4%
라 3
 
2.4%
기 3
 
2.4%
코 3
 
2.4%
스 3
 
2.4%
녹 3
 
2.4%
이 2
 
1.6%
제 2
 
1.6%
Other values (83) 96
76.8%

수출국
Text

Distinct27
Distinct (%)90.0%
Missing0
Missing (%)0.0%
Memory size372.0 B
2023-12-12T10:37:31.372527image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length24
Median length10.5
Mean length7.9
Min length2

Characters and Unicode

Total characters237
Distinct characters65
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

Unique25 ?
Unique (%)83.3%

Sample

1st row일본, 미국, 러시아
2nd row일본
3rd row일본,미국 외
4th row일본
5th row동남아(대만,인도네시아)
ValueCountFrequency (%)
일본 11
17.2%
미국 7
 
10.9%
중국 7
 
10.9%
호주 4
 
6.2%
외 4
 
6.2%
베트남 3
 
4.7%
터키 2
 
3.1%
유럽 2
 
3.1%
뉴질랜드 1
 
1.6%
알제리 1
 
1.6%
Other values (22) 22
34.4%
2023-12-12T10:37:31.776390image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
34
 
14.3%
, 32
 
13.5%
국 15
 
6.3%
일 14
 
5.9%
본 14
 
5.9%
아 9
 
3.8%
미 8
 
3.4%
중 7
 
3.0%
남 6
 
2.5%
외 5
 
2.1%
Other values (55) 93
39.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 165
69.6%
Space Separator 34
 
14.3%
Other Punctuation 32
 
13.5%
Uppercase Letter 3
 
1.3%
Decimal Number 1
 
0.4%
Open Punctuation 1
 
0.4%
Close Punctuation 1
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
국 15
 
9.1%
일 14
 
8.5%
본 14
 
8.5%
아 9
 
5.5%
미 8
 
4.8%
중 7
 
4.2%
남 6
 
3.6%
외 5
 
3.0%
리 4
 
2.4%
호 4
 
2.4%
Other values (47) 79
47.9%
Uppercase Letter
ValueCountFrequency (%)
U 1
33.3%
A 1
33.3%
E 1
33.3%
Space Separator
ValueCountFrequency (%)
34
100.0%
Other Punctuation
ValueCountFrequency (%)
, 32
100.0%
Decimal Number
ValueCountFrequency (%)
4 1
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 165
69.6%
Common 69
29.1%
Latin 3
 
1.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
국 15
 
9.1%
일 14
 
8.5%
본 14
 
8.5%
아 9
 
5.5%
미 8
 
4.8%
중 7
 
4.2%
남 6
 
3.6%
외 5
 
3.0%
리 4
 
2.4%
호 4
 
2.4%
Other values (47) 79
47.9%
Common
ValueCountFrequency (%)
34
49.3%
, 32
46.4%
4 1
 
1.4%
( 1
 
1.4%
) 1
 
1.4%
Latin
ValueCountFrequency (%)
U 1
33.3%
A 1
33.3%
E 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 165
69.6%
ASCII 72
30.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
34
47.2%
, 32
44.4%
U 1
 
1.4%
A 1
 
1.4%
E 1
 
1.4%
4 1
 
1.4%
( 1
 
1.4%
) 1
 
1.4%
Hangul
ValueCountFrequency (%)
국 15
 
9.1%
일 14
 
8.5%
본 14
 
8.5%
아 9
 
5.5%
미 8
 
4.8%
중 7
 
4.2%
남 6
 
3.6%
외 5
 
3.0%
리 4
 
2.4%
호 4
 
2.4%
Other values (47) 79
47.9%

전화
Text

UNIQUE 

Distinct30
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size372.0 B
2023-12-12T10:37:32.024345image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length8
Median length8
Mean length8
Min length8

Characters and Unicode

Total characters240
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

Unique30 ?
Unique (%)100.0%

Sample

1st row752-3331
2nd row755-9455
3rd row740-9204
4th row754-5235
5th row754-6638
ValueCountFrequency (%)
752-3331 1
 
3.3%
755-9455 1
 
3.3%
753-0377 1
 
3.3%
750-8827 1
 
3.3%
720-4453 1
 
3.3%
755-3114 1
 
3.3%
724-8757 1
 
3.3%
752-1027 1
 
3.3%
742-0941 1
 
3.3%
750-0530 1
 
3.3%
Other values (20) 20
66.7%
2023-12-12T10:37:32.473639image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
7 43
17.9%
5 35
14.6%
- 30
12.5%
2 25
10.4%
1 22
9.2%
4 21
8.8%
3 19
7.9%
0 19
7.9%
9 11
 
4.6%
8 11
 
4.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 210
87.5%
Dash Punctuation 30
 
12.5%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
7 43
20.5%
5 35
16.7%
2 25
11.9%
1 22
10.5%
4 21
10.0%
3 19
9.0%
0 19
9.0%
9 11
 
5.2%
8 11
 
5.2%
6 4
 
1.9%
Dash Punctuation
ValueCountFrequency (%)
- 30
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 240
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
7 43
17.9%
5 35
14.6%
- 30
12.5%
2 25
10.4%
1 22
9.2%
4 21
8.8%
3 19
7.9%
0 19
7.9%
9 11
 
4.6%
8 11
 
4.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 240
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
7 43
17.9%
5 35
14.6%
- 30
12.5%
2 25
10.4%
1 22
9.2%
4 21
8.8%
3 19
7.9%
0 19
7.9%
9 11
 
4.6%
8 11
 
4.6%

팩스
Text

UNIQUE 

Distinct30
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size372.0 B
2023-12-12T10:37:32.722039image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length8
Mean length8.1333333
Min length8

Characters and Unicode

Total characters244
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

Unique30 ?
Unique (%)100.0%

Sample

1st row752-2227
2nd row755-9458
3rd row741-8281
4th row754-6165
5th row754-6960
ValueCountFrequency (%)
752-2227 1
 
3.3%
755-9458 1
 
3.3%
753-3072 1
 
3.3%
727-6696 1
 
3.3%
723-5257 1
 
3.3%
753-2813 1
 
3.3%
724-2566 1
 
3.3%
752-1029 1
 
3.3%
742-0943 1
 
3.3%
755-9060 1
 
3.3%
Other values (20) 20
66.7%
2023-12-12T10:37:33.453644image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
7 42
17.2%
5 32
13.1%
2 31
12.7%
- 31
12.7%
4 21
8.6%
0 18
7.4%
8 17
7.0%
6 15
 
6.1%
3 14
 
5.7%
1 12
 
4.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 213
87.3%
Dash Punctuation 31
 
12.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
7 42
19.7%
5 32
15.0%
2 31
14.6%
4 21
9.9%
0 18
8.5%
8 17
8.0%
6 15
 
7.0%
3 14
 
6.6%
1 12
 
5.6%
9 11
 
5.2%
Dash Punctuation
ValueCountFrequency (%)
- 31
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 244
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
7 42
17.2%
5 32
13.1%
2 31
12.7%
- 31
12.7%
4 21
8.6%
0 18
7.4%
8 17
7.0%
6 15
 
6.1%
3 14
 
5.7%
1 12
 
4.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 244
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
7 42
17.2%
5 32
13.1%
2 31
12.7%
- 31
12.7%
4 21
8.6%
0 18
7.4%
8 17
7.0%
6 15
 
6.1%
3 14
 
5.7%
1 12
 
4.9%

Correlations

2023-12-12T10:37:33.585634image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
업체명담당자대표자주소수출품목수출국전화팩스
업체명1.0001.0001.0001.0001.0001.0001.0001.000
담당자1.0001.0001.0001.0001.0001.0001.0001.000
대표자1.0001.0001.0001.0001.0001.0001.0001.000
주소1.0001.0001.0001.0001.0000.9661.0001.000
수출품목1.0001.0001.0001.0001.0001.0001.0001.000
수출국1.0001.0001.0000.9661.0001.0001.0001.000
전화1.0001.0001.0001.0001.0001.0001.0001.000
팩스1.0001.0001.0001.0001.0001.0001.0001.000

Missing values

2023-12-12T10:37:27.072994image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T10:37:27.261492image/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

업체명담당자대표자주소수출품목수출국전화팩스
0매일식품(주)김옥주 부장오무순천시 서면 산단1길 16된장, 간장일본, 미국, 러시아752-3331752-2227
1(주)한국카라겐김재윤김진선순천시 서면 산단4길 90카라기난일본755-9455755-9458
2순천농협남도식품최용진실장김서현순천시 녹색로 1404-6(대룡동)김치일본,미국 외740-9204741-8281
3명인신광수차<NA>신광수순천시 승주읍 승주괴목2길 25녹차일본754-5235754-6165
4낙안배영농법인김은옥김용화순천시 낙안면 조정래길 497배동남아(대만,인도네시아)754-6638754-6960
5순천연합조합공동사업법인(거점APC)이호진이경수순천시 승주읍 중대길 15배,단감동남아, 미국, 중국752-0400752-7771
6오키드팜조광석대표조광석순천시 별량면 일출길 645양란일본, 중국742-7701742-8502
7명설차김동원김동원순천시 강남로 28(장천동)녹차, 연잎차미국755-9331755-6888
8밀림산업최순희김동현순천시 외서면 읍성로 45녹차주중국, 홍콩755-8077755-8044
9(주)바이오리쏘스<NA>정승기순천시 주암면 주석로 276-11조제보조, 사료필리핀, 일본, 파키스탄755-8722062-973-8728
업체명담당자대표자주소수출품목수출국전화팩스
20(주)신안그린테크조정우장승호순천시 녹색로 1210(인월동)유동팬일본, 미국744-4111744-1177
21(주)동영산업조정재조현식순천시 서면 산단4길 34방화문일본, 베트남750-0530755-9060
22태광메디팜박진철장철우순천시 별량면 녹색로 458방역용살충제뉴질랜드742-0941742-0943
23(주)신성글러브양정현강영춘순천시 서면 산단4길 30기능성장갑유럽, 터키 외752-1027752-1029
24현대엔테크오병래오병래순천시 별량면 송산길 1선박엔진베네수엘라, 터키724-8757724-2566
25(주)지본코스메틱김난영이범선순천시 서면 산단4길 30홍삼스크럽미국, 대만, 중국755-3114753-2813
26현대하이스코서영채김원갑순천시 해룡면 선월리 산30-9냉연코일중국, 유럽 외720-4453723-5257
27라인호정지혜라이너신라이히순천시 해룡면 호두리 율촌1산단6블럭트랜스포터베트남, 인도, 일본750-8827727-6696
28(주)폴리맥스조현선안은섭순천시 서면 산단1길 40플라스틱파이프일본753-0377753-3072
29해원엠에스씨㈜양영범이해식순천시 서면 산단3길 12칼라코일에코틸브라질759-2512759-2505