Overview

Dataset statistics

Number of variables4
Number of observations33
Missing cells1
Missing cells (%)0.8%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.2 KiB
Average record size in memory36.0 B

Variable types

Text4

Dataset

Description대구광역시 수출지원시스템에서 제공하고 있는 지역기업의 성장단계별 맞춤형 수출 지원을 위해 각종 직종별 다양한 분야의 기관입니다.
URLhttps://www.data.go.kr/data/15116823/fileData.do

Alerts

대표 번호 has 1 (3.0%) missing valuesMissing
지원기관 has unique valuesUnique
홈페이지 has unique valuesUnique

Reproduction

Analysis started2023-12-12 11:52:50.729502
Analysis finished2023-12-12 11:52:51.238711
Duration0.51 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

지원기관
Text

UNIQUE 

Distinct33
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size396.0 B
2023-12-12T20:52:51.421109image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length31
Median length14
Mean length10.969697
Min length5

Characters and Unicode

Total characters362
Distinct characters115
Distinct categories6 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique33 ?
Unique (%)100.0%

Sample

1st row(재)대구테크노파크
2nd row한국무역협회
3rd row중소벤처기업진흥공단 대구지역본부
4th row대구상공회의소
5th row한국무역보험공사 대구경북지사
ValueCountFrequency (%)
중소벤처기업진흥공단 2
 
5.0%
재)대구테크노파크 1
 
2.5%
한국안광학산업진흥원 1
 
2.5%
재)대구디지털산업진흥원 1
 
2.5%
대구경북기계협동조합 1
 
2.5%
한국섬유기계연구원 1
 
2.5%
이씨이십일 1
 
2.5%
대한무역투자진흥공사(코트라+해외진출상담센터+유망기업지원 1
 
2.5%
대구경북섬유직물공업협동조합 1
 
2.5%
세계한인무역협회 1
 
2.5%
Other values (29) 29
72.5%
2023-12-12T20:52:51.786814image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
업 14
 
3.9%
대 14
 
3.9%
구 13
 
3.6%
한 13
 
3.6%
국 13
 
3.6%
북 10
 
2.8%
경 10
 
2.8%
사 9
 
2.5%
협 9
 
2.5%
8
 
2.2%
Other values (105) 249
68.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 335
92.5%
Space Separator 8
 
2.2%
Open Punctuation 6
 
1.7%
Close Punctuation 6
 
1.7%
Uppercase Letter 5
 
1.4%
Math Symbol 2
 
0.6%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
업 14
 
4.2%
대 14
 
4.2%
구 13
 
3.9%
한 13
 
3.9%
국 13
 
3.9%
북 10
 
3.0%
경 10
 
3.0%
사 9
 
2.7%
협 9
 
2.7%
회 8
 
2.4%
Other values (96) 222
66.3%
Uppercase Letter
ValueCountFrequency (%)
K 1
20.0%
O 1
20.0%
T 1
20.0%
R 1
20.0%
A 1
20.0%
Space Separator
ValueCountFrequency (%)
8
100.0%
Open Punctuation
ValueCountFrequency (%)
( 6
100.0%
Close Punctuation
ValueCountFrequency (%)
) 6
100.0%
Math Symbol
ValueCountFrequency (%)
+ 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 335
92.5%
Common 22
 
6.1%
Latin 5
 
1.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
업 14
 
4.2%
대 14
 
4.2%
구 13
 
3.9%
한 13
 
3.9%
국 13
 
3.9%
북 10
 
3.0%
경 10
 
3.0%
사 9
 
2.7%
협 9
 
2.7%
회 8
 
2.4%
Other values (96) 222
66.3%
Latin
ValueCountFrequency (%)
K 1
20.0%
O 1
20.0%
T 1
20.0%
R 1
20.0%
A 1
20.0%
Common
ValueCountFrequency (%)
8
36.4%
( 6
27.3%
) 6
27.3%
+ 2
 
9.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 335
92.5%
ASCII 27
 
7.5%

Most frequent character per block

Hangul
ValueCountFrequency (%)
업 14
 
4.2%
대 14
 
4.2%
구 13
 
3.9%
한 13
 
3.9%
국 13
 
3.9%
북 10
 
3.0%
경 10
 
3.0%
사 9
 
2.7%
협 9
 
2.7%
회 8
 
2.4%
Other values (96) 222
66.3%
ASCII
ValueCountFrequency (%)
8
29.6%
( 6
22.2%
) 6
22.2%
+ 2
 
7.4%
K 1
 
3.7%
O 1
 
3.7%
T 1
 
3.7%
R 1
 
3.7%
A 1
 
3.7%

홈페이지
Text

UNIQUE 

Distinct33
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size396.0 B
2023-12-12T20:52:52.045588image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length51
Median length35
Mean length26.787879
Min length17

Characters and Unicode

Total characters884
Distinct characters37
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique33 ?
Unique (%)100.0%

Sample

1st rowhttps://www.ttp.org
2nd rowhttps://www.kita.net
3rd rowhttps://www.kosmes.or.kr
4th rowhttp://www.dcci.or.kr
5th rowhttps://www.ksure.or.kr
ValueCountFrequency (%)
https://www.kmu.ac.kr 2
 
6.1%
https://www.ttp.org 1
 
3.0%
https://www.dip.or.kr/home/main.ubs 1
 
3.0%
https://www.watercluster.or.kr/watercluster/main.do 1
 
3.0%
http://cyberaspa.org 1
 
3.0%
http://www.krifi.re.kr/kor/html/main.html?vtg 1
 
3.0%
https://dgdp.rdcdp.or.kr 1
 
3.0%
http://ktcin.com 1
 
3.0%
https://exco.co.kr 1
 
3.0%
https://www.koia.or.kr 1
 
3.0%
Other values (22) 22
66.7%
2023-12-12T20:52:52.445479image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
/ 100
11.3%
t 93
 
10.5%
. 91
 
10.3%
w 89
 
10.1%
r 61
 
6.9%
o 51
 
5.8%
k 43
 
4.9%
p 40
 
4.5%
h 39
 
4.4%
: 33
 
3.7%
Other values (27) 244
27.6%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 640
72.4%
Other Punctuation 225
 
25.5%
Uppercase Letter 11
 
1.2%
Decimal Number 6
 
0.7%
Dash Punctuation 1
 
0.1%
Math Symbol 1
 
0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
t 93
14.5%
w 89
13.9%
r 61
9.5%
o 51
 
8.0%
k 43
 
6.7%
p 40
 
6.2%
h 39
 
6.1%
s 30
 
4.7%
a 30
 
4.7%
i 23
 
3.6%
Other values (13) 141
22.0%
Uppercase Letter
ValueCountFrequency (%)
M 3
27.3%
H 2
18.2%
S 2
18.2%
A 2
18.2%
P 2
18.2%
Other Punctuation
ValueCountFrequency (%)
/ 100
44.4%
. 91
40.4%
: 33
 
14.7%
? 1
 
0.4%
Decimal Number
ValueCountFrequency (%)
0 3
50.0%
2 2
33.3%
1 1
 
16.7%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%
Math Symbol
ValueCountFrequency (%)
= 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 651
73.6%
Common 233
 
26.4%

Most frequent character per script

Latin
ValueCountFrequency (%)
t 93
14.3%
w 89
13.7%
r 61
9.4%
o 51
 
7.8%
k 43
 
6.6%
p 40
 
6.1%
h 39
 
6.0%
s 30
 
4.6%
a 30
 
4.6%
i 23
 
3.5%
Other values (18) 152
23.3%
Common
ValueCountFrequency (%)
/ 100
42.9%
. 91
39.1%
: 33
 
14.2%
0 3
 
1.3%
2 2
 
0.9%
1 1
 
0.4%
- 1
 
0.4%
? 1
 
0.4%
= 1
 
0.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 884
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
/ 100
11.3%
t 93
 
10.5%
. 91
 
10.3%
w 89
 
10.1%
r 61
 
6.9%
o 51
 
5.8%
k 43
 
4.9%
p 40
 
4.5%
h 39
 
4.4%
: 33
 
3.7%
Other values (27) 244
27.6%

대표 번호
Text

MISSING 

Distinct32
Distinct (%)100.0%
Missing1
Missing (%)3.0%
Memory size396.0 B
2023-12-12T20:52:52.671399image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length11.96875
Min length11

Characters and Unicode

Total characters383
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

Unique32 ?
Unique (%)100.0%

Sample

1st row053-757-3780
2nd row02-1566-5114
3rd row053-659-2536
4th row053-222-3083
5th row02-1588-3884
ValueCountFrequency (%)
053-757-3780 1
 
3.1%
02-1566-5114 1
 
3.1%
053-218-4103 1
 
3.1%
053-986-6355 1
 
3.1%
053-740-0045 1
 
3.1%
053-421-4200 1
 
3.1%
053-601-5055 1
 
3.1%
053-350-7814 1
 
3.1%
031-1644-9033 1
 
3.1%
053-252-4081 1
 
3.1%
Other values (22) 22
68.8%
2023-12-12T20:52:52.992735image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 65
17.0%
- 64
16.7%
5 53
13.8%
3 47
12.3%
1 34
8.9%
2 27
7.0%
8 25
 
6.5%
4 25
 
6.5%
6 18
 
4.7%
9 15
 
3.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 319
83.3%
Dash Punctuation 64
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 65
20.4%
5 53
16.6%
3 47
14.7%
1 34
10.7%
2 27
8.5%
8 25
 
7.8%
4 25
 
7.8%
6 18
 
5.6%
9 15
 
4.7%
7 10
 
3.1%
Dash Punctuation
ValueCountFrequency (%)
- 64
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 383
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 65
17.0%
- 64
16.7%
5 53
13.8%
3 47
12.3%
1 34
8.9%
2 27
7.0%
8 25
 
6.5%
4 25
 
6.5%
6 18
 
4.7%
9 15
 
3.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 383
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 65
17.0%
- 64
16.7%
5 53
13.8%
3 47
12.3%
1 34
8.9%
2 27
7.0%
8 25
 
6.5%
4 25
 
6.5%
6 18
 
4.7%
9 15
 
3.9%

주소
Text

Distinct29
Distinct (%)87.9%
Missing0
Missing (%)0.0%
Memory size396.0 B
2023-12-12T20:52:53.235411image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length29
Median length25
Mean length22.666667
Min length19

Characters and Unicode

Total characters748
Distinct characters112
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

Unique25 ?
Unique (%)75.8%

Sample

1st row대구광역시 동구 동대구로 475 (신천동)
2nd row서울특별시 강남구 영동대로 511(삼성동)
3rd row대구광역시 북구 엑스코로 10(산격동)
4th row대구광역시 동구 동대구로 457(신천동)
5th row서울특별시 종로구 종로 14(서린동)
ValueCountFrequency (%)
대구광역시 21
 
15.1%
동구 9
 
6.5%
서울특별시 7
 
5.0%
북구 6
 
4.3%
동대구로 4
 
2.9%
강남구 4
 
2.9%
경상북도 3
 
2.2%
227(봉무동 2
 
1.4%
27(삼풍동 2
 
1.4%
영동대로 2
 
1.4%
Other values (70) 79
56.8%
2023-12-12T20:52:53.584124image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
106
 
14.2%
구 55
 
7.4%
동 50
 
6.7%
대 35
 
4.7%
시 35
 
4.7%
로 34
 
4.5%
( 31
 
4.1%
) 31
 
4.1%
1 24
 
3.2%
광 21
 
2.8%
Other values (102) 326
43.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 480
64.2%
Space Separator 106
 
14.2%
Decimal Number 98
 
13.1%
Open Punctuation 31
 
4.1%
Close Punctuation 31
 
4.1%
Dash Punctuation 2
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 55
 
11.5%
동 50
 
10.4%
대 35
 
7.3%
시 35
 
7.3%
로 34
 
7.1%
광 21
 
4.4%
역 21
 
4.4%
서 12
 
2.5%
산 10
 
2.1%
북 10
 
2.1%
Other values (88) 197
41.0%
Decimal Number
ValueCountFrequency (%)
1 24
24.5%
7 15
15.3%
2 12
12.2%
4 11
11.2%
5 7
 
7.1%
0 7
 
7.1%
8 7
 
7.1%
3 6
 
6.1%
9 5
 
5.1%
6 4
 
4.1%
Space Separator
ValueCountFrequency (%)
106
100.0%
Open Punctuation
ValueCountFrequency (%)
( 31
100.0%
Close Punctuation
ValueCountFrequency (%)
) 31
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 480
64.2%
Common 268
35.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 55
 
11.5%
동 50
 
10.4%
대 35
 
7.3%
시 35
 
7.3%
로 34
 
7.1%
광 21
 
4.4%
역 21
 
4.4%
서 12
 
2.5%
산 10
 
2.1%
북 10
 
2.1%
Other values (88) 197
41.0%
Common
ValueCountFrequency (%)
106
39.6%
( 31
 
11.6%
) 31
 
11.6%
1 24
 
9.0%
7 15
 
5.6%
2 12
 
4.5%
4 11
 
4.1%
5 7
 
2.6%
0 7
 
2.6%
8 7
 
2.6%
Other values (4) 17
 
6.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 480
64.2%
ASCII 268
35.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
106
39.6%
( 31
 
11.6%
) 31
 
11.6%
1 24
 
9.0%
7 15
 
5.6%
2 12
 
4.5%
4 11
 
4.1%
5 7
 
2.6%
0 7
 
2.6%
8 7
 
2.6%
Other values (4) 17
 
6.3%
Hangul
ValueCountFrequency (%)
구 55
 
11.5%
동 50
 
10.4%
대 35
 
7.3%
시 35
 
7.3%
로 34
 
7.1%
광 21
 
4.4%
역 21
 
4.4%
서 12
 
2.5%
산 10
 
2.1%
북 10
 
2.1%
Other values (88) 197
41.0%

Correlations

2023-12-12T20:52:53.714669image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
지원기관홈페이지대표 번호주소
지원기관1.0001.0001.0001.000
홈페이지1.0001.0001.0001.000
대표 번호1.0001.0001.0001.000
주소1.0001.0001.0001.000

Missing values

2023-12-12T20:52:51.076714image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T20:52:51.188462image/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

지원기관홈페이지대표 번호주소
0(재)대구테크노파크https://www.ttp.org053-757-3780대구광역시 동구 동대구로 475 (신천동)
1한국무역협회https://www.kita.net02-1566-5114서울특별시 강남구 영동대로 511(삼성동)
2중소벤처기업진흥공단 대구지역본부https://www.kosmes.or.kr053-659-2536대구광역시 북구 엑스코로 10(산격동)
3대구상공회의소http://www.dcci.or.kr053-222-3083대구광역시 동구 동대구로 457(신천동)
4한국무역보험공사 대구경북지사https://www.ksure.or.kr02-1588-3884서울특별시 종로구 종로 14(서린동)
5KOTRA 대구경북지원단https://www.kotra.or.kr053-659-2252대구광역시 달서구 성서4차첨단로 122-11(월암동)
6경북대학교https://www.kmu.ac.kr053-586-3389대구광역시 북구 대학로 80(산격동)
7계명대학교 국제사업센터https://www.kmu.ac.kr/053-580-6347대구광역시 남구 명덕로 104(대명동)
8경북지방우정청https://www.koreapost.go.kr/kb053-940-1458대구광역시 동구 동촌로 1(입석동)
9대구경북섬유산업연합회http://www.dgtia.or.kr/053-980-2024대구광역시 동구 팔공로 227(봉무동)
지원기관홈페이지대표 번호주소
23대구경북섬유직물공업협동조합http://www.texwindow.or.kr053-252-4081대구광역시 중구 국채보상로 488(동산동)
24세계한인무역협회http://world-okta.com031-1644-9033경기도 고양시 일산서구 킨텍스로 217-59(대화동)
25한국안광학산업진흥원https://www.koia.or.kr/053-350-7814대구광역시 북구 노원로 169(노원동3가)
26(주)엑스코https://exco.co.kr/053-601-5055대구광역시 북구 엑스코로 10(산격동)
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29한국패션산업연구원http://www.krifi.re.kr/kor/html/main.html?vtg=053-986-6355대구광역시 동구 팔공로45길 26(봉무동)
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31국가물산업클러스터https://www.watercluster.or.kr/watercluster/main.do053-601-6037대구광역시 달성군 구지면 국가산단대로40길 20
32천연염색 갈옷매니아https://www.galotmania.com/<NA>대구광역시 동구 동화천로77길 8 (지묘동)