Overview

Dataset statistics

Number of variables4
Number of observations639
Missing cells2
Missing cells (%)0.1%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory20.1 KiB
Average record size in memory32.2 B

Variable types

Text4

Dataset

Description목재포장재에 대한 열처리업을 수행하고 있는 수출입목재 열처리업체 목록 입니다.
Author농림축산검역본부
URLhttps://data.mafra.go.kr/opendata/data/indexOpenDataDetail.do?data_id=20220215000000001895

Reproduction

Analysis started2023-12-11 03:06:12.491550
Analysis finished2023-12-11 03:06:13.168569
Duration0.68 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

업체명
Text

Distinct616
Distinct (%)96.4%
Missing0
Missing (%)0.0%
Memory size5.1 KiB
2023-12-11T12:06:13.379565image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length21
Median length15
Mean length7.028169
Min length2

Characters and Unicode

Total characters4491
Distinct characters275
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

Unique599 ?
Unique (%)93.7%

Sample

1st row광일산업
2nd row(주)동남우드
3rd row현대기업
4th row유민목재
5th row신한수출포장
ValueCountFrequency (%)
주식회사 38
 
5.4%
주)한성목재 5
 
0.7%
대림수출포장 4
 
0.6%
주)성은물류 3
 
0.4%
한국수출포장 3
 
0.4%
주 3
 
0.4%
벽암산업(주 3
 
0.4%
진흥제재소 2
 
0.3%
한성수출포장 2
 
0.3%
미소물산 2
 
0.3%
Other values (621) 635
90.7%
2023-12-11T12:06:13.935230image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 319
 
7.1%
장 256
 
5.7%
) 255
 
5.7%
( 255
 
5.7%
포 245
 
5.5%
재 183
 
4.1%
목 176
 
3.9%
수 172
 
3.8%
출 167
 
3.7%
산 120
 
2.7%
Other values (265) 2343
52.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3852
85.8%
Close Punctuation 255
 
5.7%
Open Punctuation 255
 
5.7%
Space Separator 61
 
1.4%
Uppercase Letter 37
 
0.8%
Lowercase Letter 19
 
0.4%
Other Symbol 6
 
0.1%
Other Punctuation 4
 
0.1%
Dash Punctuation 1
 
< 0.1%
Decimal Number 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 319
 
8.3%
장 256
 
6.6%
포 245
 
6.4%
재 183
 
4.8%
목 176
 
4.6%
수 172
 
4.5%
출 167
 
4.3%
산 120
 
3.1%
업 108
 
2.8%
사 92
 
2.4%
Other values (228) 2014
52.3%
Uppercase Letter
ValueCountFrequency (%)
S 6
16.2%
J 4
10.8%
K 3
8.1%
C 3
8.1%
L 3
8.1%
P 3
8.1%
M 3
8.1%
B 2
 
5.4%
T 2
 
5.4%
E 2
 
5.4%
Other values (5) 6
16.2%
Lowercase Letter
ValueCountFrequency (%)
g 2
 
10.5%
o 2
 
10.5%
i 2
 
10.5%
c 2
 
10.5%
h 1
 
5.3%
e 1
 
5.3%
w 1
 
5.3%
s 1
 
5.3%
p 1
 
5.3%
a 1
 
5.3%
Other values (5) 5
26.3%
Close Punctuation
ValueCountFrequency (%)
) 255
100.0%
Open Punctuation
ValueCountFrequency (%)
( 255
100.0%
Space Separator
ValueCountFrequency (%)
61
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 6
100.0%
Other Punctuation
ValueCountFrequency (%)
. 4
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%
Decimal Number
ValueCountFrequency (%)
2 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3858
85.9%
Common 577
 
12.8%
Latin 56
 
1.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 319
 
8.3%
장 256
 
6.6%
포 245
 
6.4%
재 183
 
4.7%
목 176
 
4.6%
수 172
 
4.5%
출 167
 
4.3%
산 120
 
3.1%
업 108
 
2.8%
사 92
 
2.4%
Other values (229) 2020
52.4%
Latin
ValueCountFrequency (%)
S 6
 
10.7%
J 4
 
7.1%
K 3
 
5.4%
C 3
 
5.4%
L 3
 
5.4%
P 3
 
5.4%
M 3
 
5.4%
B 2
 
3.6%
g 2
 
3.6%
T 2
 
3.6%
Other values (20) 25
44.6%
Common
ValueCountFrequency (%)
) 255
44.2%
( 255
44.2%
61
 
10.6%
. 4
 
0.7%
- 1
 
0.2%
2 1
 
0.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3852
85.8%
ASCII 633
 
14.1%
None 6
 
0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 319
 
8.3%
장 256
 
6.6%
포 245
 
6.4%
재 183
 
4.8%
목 176
 
4.6%
수 172
 
4.5%
출 167
 
4.3%
산 120
 
3.1%
업 108
 
2.8%
사 92
 
2.4%
Other values (228) 2014
52.3%
ASCII
ValueCountFrequency (%)
) 255
40.3%
( 255
40.3%
61
 
9.6%
S 6
 
0.9%
J 4
 
0.6%
. 4
 
0.6%
K 3
 
0.5%
C 3
 
0.5%
L 3
 
0.5%
P 3
 
0.5%
Other values (26) 36
 
5.7%
None
ValueCountFrequency (%)
㈜ 6
100.0%

주소
Text

Distinct636
Distinct (%)99.5%
Missing0
Missing (%)0.0%
Memory size5.1 KiB
2023-12-11T12:06:14.381922image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length52
Median length42
Mean length25.790297
Min length13

Characters and Unicode

Total characters16480
Distinct characters325
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique633 ?
Unique (%)99.1%

Sample

1st row전라북도 익산시 오산면 광양1길 3-1
2nd row경기도 화성시 향남읍 토성로359번길 10
3rd row부산광역시 영도구 해양로73번길 67
4th row경상남도 김해시 상동면 상동로 135
5th row부산광역시 강서구 식만로85번길 22
ValueCountFrequency (%)
경기도 84
 
2.4%
경기 62
 
1.8%
경상남도 58
 
1.7%
김해시 49
 
1.4%
경남 48
 
1.4%
경북 47
 
1.3%
경상북도 46
 
1.3%
서구 45
 
1.3%
화성시 44
 
1.3%
강서구 41
 
1.2%
Other values (1681) 2988
85.1%
2023-12-11T12:06:15.029190image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2895
 
17.6%
1 585
 
3.5%
시 497
 
3.0%
로 473
 
2.9%
( 469
 
2.8%
) 469
 
2.8%
2 413
 
2.5%
경 384
 
2.3%
3 373
 
2.3%
동 367
 
2.2%
Other values (315) 9555
58.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 9117
55.3%
Decimal Number 3113
 
18.9%
Space Separator 2895
 
17.6%
Open Punctuation 469
 
2.8%
Close Punctuation 469
 
2.8%
Dash Punctuation 295
 
1.8%
Other Punctuation 106
 
0.6%
Uppercase Letter 16
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
시 497
 
5.5%
로 473
 
5.2%
경 384
 
4.2%
동 367
 
4.0%
산 326
 
3.6%
길 311
 
3.4%
면 289
 
3.2%
구 272
 
3.0%
도 267
 
2.9%
남 250
 
2.7%
Other values (290) 5681
62.3%
Decimal Number
ValueCountFrequency (%)
1 585
18.8%
2 413
13.3%
3 373
12.0%
4 304
9.8%
7 256
8.2%
6 251
8.1%
5 247
7.9%
8 244
7.8%
0 236
7.6%
9 204
 
6.6%
Uppercase Letter
ValueCountFrequency (%)
B 4
25.0%
L 4
25.0%
C 2
12.5%
S 2
12.5%
H 1
 
6.2%
R 1
 
6.2%
K 1
 
6.2%
A 1
 
6.2%
Other Punctuation
ValueCountFrequency (%)
, 103
97.2%
. 2
 
1.9%
/ 1
 
0.9%
Space Separator
ValueCountFrequency (%)
2895
100.0%
Open Punctuation
ValueCountFrequency (%)
( 469
100.0%
Close Punctuation
ValueCountFrequency (%)
) 469
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 295
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 9117
55.3%
Common 7347
44.6%
Latin 16
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
시 497
 
5.5%
로 473
 
5.2%
경 384
 
4.2%
동 367
 
4.0%
산 326
 
3.6%
길 311
 
3.4%
면 289
 
3.2%
구 272
 
3.0%
도 267
 
2.9%
남 250
 
2.7%
Other values (290) 5681
62.3%
Common
ValueCountFrequency (%)
2895
39.4%
1 585
 
8.0%
( 469
 
6.4%
) 469
 
6.4%
2 413
 
5.6%
3 373
 
5.1%
4 304
 
4.1%
- 295
 
4.0%
7 256
 
3.5%
6 251
 
3.4%
Other values (7) 1037
 
14.1%
Latin
ValueCountFrequency (%)
B 4
25.0%
L 4
25.0%
C 2
12.5%
S 2
12.5%
H 1
 
6.2%
R 1
 
6.2%
K 1
 
6.2%
A 1
 
6.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 9117
55.3%
ASCII 7363
44.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2895
39.3%
1 585
 
7.9%
( 469
 
6.4%
) 469
 
6.4%
2 413
 
5.6%
3 373
 
5.1%
4 304
 
4.1%
- 295
 
4.0%
7 256
 
3.5%
6 251
 
3.4%
Other values (15) 1053
 
14.3%
Hangul
ValueCountFrequency (%)
시 497
 
5.5%
로 473
 
5.2%
경 384
 
4.2%
동 367
 
4.0%
산 326
 
3.6%
길 311
 
3.4%
면 289
 
3.2%
구 272
 
3.0%
도 267
 
2.9%
남 250
 
2.7%
Other values (290) 5681
62.3%

전화번호
Text

Distinct634
Distinct (%)99.5%
Missing2
Missing (%)0.3%
Memory size5.1 KiB
2023-12-11T12:06:15.345779image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length26
Median length12
Mean length12.087912
Min length9

Characters and Unicode

Total characters7700
Distinct characters16
Distinct categories6 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique631 ?
Unique (%)99.1%

Sample

1st row070-8886-2976
2nd row031-354-3103
3rd row051-412-4074
4th row055-321-7376
5th row051-972-3463
ValueCountFrequency (%)
031-222-1251 2
 
0.3%
061-683-9171 2
 
0.3%
062-953-3873 2
 
0.3%
032-813-6340 1
 
0.2%
070-8886-2976 1
 
0.2%
055-521-5214 1
 
0.2%
032-567-1691 1
 
0.2%
061-335-1835 1
 
0.2%
041-564-4320 1
 
0.2%
041-533-6318 1
 
0.2%
Other values (627) 627
98.0%
2023-12-11T12:06:16.216862image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 1272
16.5%
0 1035
13.4%
5 939
12.2%
3 820
10.6%
1 676
8.8%
2 620
8.1%
4 603
7.8%
6 507
 
6.6%
7 434
 
5.6%
8 414
 
5.4%
Other values (6) 380
 
4.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 6408
83.2%
Dash Punctuation 1272
 
16.5%
Math Symbol 9
 
0.1%
Other Punctuation 5
 
0.1%
Space Separator 3
 
< 0.1%
Close Punctuation 3
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 1035
16.2%
5 939
14.7%
3 820
12.8%
1 676
10.5%
2 620
9.7%
4 603
9.4%
6 507
7.9%
7 434
6.8%
8 414
 
6.5%
9 360
 
5.6%
Other Punctuation
ValueCountFrequency (%)
, 3
60.0%
/ 2
40.0%
Dash Punctuation
ValueCountFrequency (%)
- 1272
100.0%
Math Symbol
ValueCountFrequency (%)
~ 9
100.0%
Space Separator
ValueCountFrequency (%)
3
100.0%
Close Punctuation
ValueCountFrequency (%)
) 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 7700
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 1272
16.5%
0 1035
13.4%
5 939
12.2%
3 820
10.6%
1 676
8.8%
2 620
8.1%
4 603
7.8%
6 507
 
6.6%
7 434
 
5.6%
8 414
 
5.4%
Other values (6) 380
 
4.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 7700
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 1272
16.5%
0 1035
13.4%
5 939
12.2%
3 820
10.6%
1 676
8.8%
2 620
8.1%
4 603
7.8%
6 507
 
6.6%
7 434
 
5.6%
8 414
 
5.4%
Other values (6) 380
 
4.9%

대표자명
Text

Distinct609
Distinct (%)95.3%
Missing0
Missing (%)0.0%
Memory size5.1 KiB
2023-12-11T12:06:16.663053image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length3
Mean length3.0688576
Min length2

Characters and Unicode

Total characters1961
Distinct characters199
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

Unique586 ?
Unique (%)91.7%

Sample

1st row안선오
2nd row고변상
3rd row김염주
4th row김종민
5th row구정봉
ValueCountFrequency (%)
구민모 5
 
0.8%
이재필 4
 
0.6%
이은학 3
 
0.5%
성원제 3
 
0.5%
양재생 2
 
0.3%
민 2
 
0.3%
박 2
 
0.3%
옥 2
 
0.3%
철 2
 
0.3%
정 2
 
0.3%
Other values (618) 637
95.9%
2023-12-11T12:06:17.331767image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
이 109
 
5.6%
김 108
 
5.5%
정 71
 
3.6%
영 54
 
2.8%
박 53
 
2.7%
성 40
 
2.0%
최 35
 
1.8%
종 35
 
1.8%
진 33
 
1.7%
수 32
 
1.6%
Other values (189) 1391
70.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1927
98.3%
Space Separator 30
 
1.5%
Other Punctuation 4
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
이 109
 
5.7%
김 108
 
5.6%
정 71
 
3.7%
영 54
 
2.8%
박 53
 
2.8%
성 40
 
2.1%
최 35
 
1.8%
종 35
 
1.8%
진 33
 
1.7%
수 32
 
1.7%
Other values (187) 1357
70.4%
Space Separator
ValueCountFrequency (%)
30
100.0%
Other Punctuation
ValueCountFrequency (%)
, 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1927
98.3%
Common 34
 
1.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
이 109
 
5.7%
김 108
 
5.6%
정 71
 
3.7%
영 54
 
2.8%
박 53
 
2.8%
성 40
 
2.1%
최 35
 
1.8%
종 35
 
1.8%
진 33
 
1.7%
수 32
 
1.7%
Other values (187) 1357
70.4%
Common
ValueCountFrequency (%)
30
88.2%
, 4
 
11.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1927
98.3%
ASCII 34
 
1.7%

Most frequent character per block

Hangul
ValueCountFrequency (%)
이 109
 
5.7%
김 108
 
5.6%
정 71
 
3.7%
영 54
 
2.8%
박 53
 
2.8%
성 40
 
2.1%
최 35
 
1.8%
종 35
 
1.8%
진 33
 
1.7%
수 32
 
1.7%
Other values (187) 1357
70.4%
ASCII
ValueCountFrequency (%)
30
88.2%
, 4
 
11.8%

Missing values

2023-12-11T12:06:12.997276image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-11T12:06:13.119682image/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

업체명주소전화번호대표자명
0광일산업전라북도 익산시 오산면 광양1길 3-1070-8886-2976안선오
1(주)동남우드경기도 화성시 향남읍 토성로359번길 10031-354-3103고변상
2현대기업부산광역시 영도구 해양로73번길 67051-412-4074김염주
3유민목재경상남도 김해시 상동면 상동로 135055-321-7376김종민
4신한수출포장부산광역시 강서구 식만로85번길 22051-972-3463구정봉
5주식회사 성화수출포장경상북도 구미시 장천면 신장2길 54-7054-475-2242장홍수
6태송파렛트경기도 김포시 대곶면 대곶남로 340031-989-4651이정덕
7공단목재상사충청북도 청주시 흥덕구 사직대로 37043-263-4774박준식
8(주)명성수출포장경기도 시흥시 옥구천동로44번길 35 (시화공단 2바 204호)031-433-0285박용국
9유림수출포장경상남도 김해시 진영읍 하계로 128055-342-5867정중한
업체명주소전화번호대표자명
629(주)신영목재전북 군산시 외항로 1148 (오식도동)063-464-9830김종환
630(주)서울수출포장경기 화성시 양감면 초록로 660 (사창리)031-352-8420임경빈
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