Overview

Dataset statistics

Number of variables6
Number of observations81
Missing cells7
Missing cells (%)1.4%
Duplicate rows2
Duplicate rows (%)2.5%
Total size in memory3.9 KiB
Average record size in memory49.6 B

Variable types

Categorical3
Text3

Dataset

Description제주특별자치도에 소재하고 있는 목재업(원목생산)과 관련한 데이터로 업소명, 주소, 허가일, 연락처 등의 정보를 제공합니다.
URLhttps://www.data.go.kr/data/15012101/fileData.do

Alerts

데이터기준일자 has constant value ""Constant
Dataset has 2 (2.5%) duplicate rowsDuplicates
주소 has 7 (8.6%) missing valuesMissing

Reproduction

Analysis started2023-12-12 15:06:45.474200
Analysis finished2023-12-12 15:06:46.035206
Duration0.56 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

구분
Categorical

Distinct3
Distinct (%)3.7%
Missing0
Missing (%)0.0%
Memory size780.0 B
제재업
49 
원목생산업
20 
목재수입유통업
12 

Length

Max length7
Median length3
Mean length4.0864198
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
제재업 49
60.5%
원목생산업 20
24.7%
목재수입유통업 12
 
14.8%

Length

2023-12-13T00:06:46.113621image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T00:06:46.240031image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
제재업 49
60.5%
원목생산업 20
24.7%
목재수입유통업 12
 
14.8%

행정시
Categorical

Distinct2
Distinct (%)2.5%
Missing0
Missing (%)0.0%
Memory size780.0 B
제주시
57 
서귀포시
24 

Length

Max length4
Median length3
Mean length3.2962963
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
제주시 57
70.4%
서귀포시 24
29.6%

Length

2023-12-13T00:06:46.352943image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T00:06:46.445128image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
제주시 57
70.4%
서귀포시 24
29.6%

상호명
Text

Distinct46
Distinct (%)56.8%
Missing0
Missing (%)0.0%
Memory size780.0 B
2023-12-13T00:06:46.648883image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length10
Mean length6.5061728
Min length3

Characters and Unicode

Total characters527
Distinct characters108
Distinct categories4 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique25 ?
Unique (%)30.9%

Sample

1st row대림목재
2nd row대합제재소
3rd row우성제재소
4th row성복제재소
5th row한일목재비료
ValueCountFrequency (%)
주식회사 5
 
5.2%
산림조합 5
 
5.2%
대림목재 4
 
4.2%
서귀포시 4
 
4.2%
미래에코시스템연구소㈜ 4
 
4.2%
세명개발 4
 
4.2%
㈜솔아일랜드 3
 
3.1%
제주정낭 3
 
3.1%
대합제재소 3
 
3.1%
동경목재산업 3
 
3.1%
Other values (41) 58
60.4%
2023-12-13T00:06:46.973648image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
재 38
 
7.2%
제 35
 
6.6%
소 29
 
5.5%
㈜ 21
 
4.0%
산 16
 
3.0%
목 15
 
2.8%
15
 
2.8%
합 14
 
2.7%
주 14
 
2.7%
림 13
 
2.5%
Other values (98) 317
60.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 488
92.6%
Other Symbol 21
 
4.0%
Space Separator 15
 
2.8%
Uppercase Letter 3
 
0.6%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
재 38
 
7.8%
제 35
 
7.2%
소 29
 
5.9%
산 16
 
3.3%
목 15
 
3.1%
합 14
 
2.9%
주 14
 
2.9%
림 13
 
2.7%
조 11
 
2.3%
시 11
 
2.3%
Other values (94) 292
59.8%
Uppercase Letter
ValueCountFrequency (%)
J 2
66.7%
F 1
33.3%
Other Symbol
ValueCountFrequency (%)
㈜ 21
100.0%
Space Separator
ValueCountFrequency (%)
15
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 509
96.6%
Common 15
 
2.8%
Latin 3
 
0.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
재 38
 
7.5%
제 35
 
6.9%
소 29
 
5.7%
㈜ 21
 
4.1%
산 16
 
3.1%
목 15
 
2.9%
합 14
 
2.8%
주 14
 
2.8%
림 13
 
2.6%
조 11
 
2.2%
Other values (95) 303
59.5%
Latin
ValueCountFrequency (%)
J 2
66.7%
F 1
33.3%
Common
ValueCountFrequency (%)
15
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 488
92.6%
None 21
 
4.0%
ASCII 18
 
3.4%

Most frequent character per block

Hangul
ValueCountFrequency (%)
재 38
 
7.8%
제 35
 
7.2%
소 29
 
5.9%
산 16
 
3.3%
목 15
 
3.1%
합 14
 
2.9%
주 14
 
2.9%
림 13
 
2.7%
조 11
 
2.3%
시 11
 
2.3%
Other values (94) 292
59.8%
None
ValueCountFrequency (%)
㈜ 21
100.0%
ASCII
ValueCountFrequency (%)
15
83.3%
J 2
 
11.1%
F 1
 
5.6%

목재생산업 등록번호
Text

Distinct63
Distinct (%)77.8%
Missing0
Missing (%)0.0%
Memory size780.0 B
2023-12-13T00:06:47.182739image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length15
Median length14
Mean length14.493827
Min length14

Characters and Unicode

Total characters1174
Distinct characters18
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique46 ?
Unique (%)56.8%

Sample

1st row제주 제주 제2013-8호
2nd row제주 제주 제2013-9호
3rd row제주 제주 제2013-10호
4th row제주 제주 제2013-11호
5th row제주 제주 제2013-12호
ValueCountFrequency (%)
제주 138
56.8%
서귀포 24
 
9.9%
제2013-1호 3
 
1.2%
제2016-1호 3
 
1.2%
제2020-1호 3
 
1.2%
제2013-5호 2
 
0.8%
제2018-1호 2
 
0.8%
제2013-6호 2
 
0.8%
제2013-9호 2
 
0.8%
제2013-2호 2
 
0.8%
Other values (51) 62
25.5%
2023-12-13T00:06:47.490487image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
제 219
18.7%
162
13.8%
주 138
11.8%
1 110
9.4%
2 106
9.0%
0 89
7.6%
호 81
 
6.9%
- 81
 
6.9%
3 38
 
3.2%
포 24
 
2.0%
Other values (8) 126
10.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 510
43.4%
Decimal Number 421
35.9%
Space Separator 162
 
13.8%
Dash Punctuation 81
 
6.9%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 110
26.1%
2 106
25.2%
0 89
21.1%
3 38
 
9.0%
7 16
 
3.8%
8 14
 
3.3%
6 14
 
3.3%
5 14
 
3.3%
4 11
 
2.6%
9 9
 
2.1%
Other Letter
ValueCountFrequency (%)
제 219
42.9%
주 138
27.1%
호 81
 
15.9%
포 24
 
4.7%
귀 24
 
4.7%
서 24
 
4.7%
Space Separator
ValueCountFrequency (%)
162
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 81
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 664
56.6%
Hangul 510
43.4%

Most frequent character per script

Common
ValueCountFrequency (%)
162
24.4%
1 110
16.6%
2 106
16.0%
0 89
13.4%
- 81
12.2%
3 38
 
5.7%
7 16
 
2.4%
8 14
 
2.1%
6 14
 
2.1%
5 14
 
2.1%
Other values (2) 20
 
3.0%
Hangul
ValueCountFrequency (%)
제 219
42.9%
주 138
27.1%
호 81
 
15.9%
포 24
 
4.7%
귀 24
 
4.7%
서 24
 
4.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 664
56.6%
Hangul 510
43.4%

Most frequent character per block

Hangul
ValueCountFrequency (%)
제 219
42.9%
주 138
27.1%
호 81
 
15.9%
포 24
 
4.7%
귀 24
 
4.7%
서 24
 
4.7%
ASCII
ValueCountFrequency (%)
162
24.4%
1 110
16.6%
2 106
16.0%
0 89
13.4%
- 81
12.2%
3 38
 
5.7%
7 16
 
2.4%
8 14
 
2.1%
6 14
 
2.1%
5 14
 
2.1%
Other values (2) 20
 
3.0%

주소
Text

MISSING 

Distinct41
Distinct (%)55.4%
Missing7
Missing (%)8.6%
Memory size780.0 B
2023-12-13T00:06:47.738044image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length34
Median length26
Mean length23.851351
Min length16

Characters and Unicode

Total characters1765
Distinct characters97
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique21 ?
Unique (%)28.4%

Sample

1st row제주특별자치도 제주시 구좌읍 세종로 222-1
2nd row제주특별자치도 제주시 조천읍 와흘리 446
3rd row제주특별자치도 제주시 한림읍 상대리 1292-1
4th row제주특별자치도 제주시 한림읍 명월성로 643
5th row제주특별자치도 제주시 한경면 복호로 21-7
ValueCountFrequency (%)
제주특별자치도 73
21.5%
제주시 53
 
15.6%
서귀포시 21
 
6.2%
애월읍 8
 
2.4%
조천읍 8
 
2.4%
선반남1길 7
 
2.1%
구좌읍 6
 
1.8%
66 4
 
1.2%
202호 4
 
1.2%
서문로 4
 
1.2%
Other values (81) 152
44.7%
2023-12-13T00:06:48.112450image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
266
 
15.1%
주 128
 
7.3%
제 127
 
7.2%
도 81
 
4.6%
특 79
 
4.5%
별 79
 
4.5%
자 79
 
4.5%
치 79
 
4.5%
시 74
 
4.2%
2 60
 
3.4%
Other values (87) 713
40.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1200
68.0%
Decimal Number 269
 
15.2%
Space Separator 266
 
15.1%
Dash Punctuation 24
 
1.4%
Other Punctuation 6
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 128
 
10.7%
제 127
 
10.6%
도 81
 
6.8%
특 79
 
6.6%
별 79
 
6.6%
자 79
 
6.6%
치 79
 
6.6%
시 74
 
6.2%
로 36
 
3.0%
길 35
 
2.9%
Other values (74) 403
33.6%
Decimal Number
ValueCountFrequency (%)
2 60
22.3%
1 55
20.4%
6 27
10.0%
5 26
9.7%
4 25
9.3%
3 22
 
8.2%
7 18
 
6.7%
9 14
 
5.2%
0 12
 
4.5%
8 10
 
3.7%
Space Separator
ValueCountFrequency (%)
266
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 24
100.0%
Other Punctuation
ValueCountFrequency (%)
, 6
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1200
68.0%
Common 565
32.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 128
 
10.7%
제 127
 
10.6%
도 81
 
6.8%
특 79
 
6.6%
별 79
 
6.6%
자 79
 
6.6%
치 79
 
6.6%
시 74
 
6.2%
로 36
 
3.0%
길 35
 
2.9%
Other values (74) 403
33.6%
Common
ValueCountFrequency (%)
266
47.1%
2 60
 
10.6%
1 55
 
9.7%
6 27
 
4.8%
5 26
 
4.6%
4 25
 
4.4%
- 24
 
4.2%
3 22
 
3.9%
7 18
 
3.2%
9 14
 
2.5%
Other values (3) 28
 
5.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1200
68.0%
ASCII 565
32.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
266
47.1%
2 60
 
10.6%
1 55
 
9.7%
6 27
 
4.8%
5 26
 
4.6%
4 25
 
4.4%
- 24
 
4.2%
3 22
 
3.9%
7 18
 
3.2%
9 14
 
2.5%
Other values (3) 28
 
5.0%
Hangul
ValueCountFrequency (%)
주 128
 
10.7%
제 127
 
10.6%
도 81
 
6.8%
특 79
 
6.6%
별 79
 
6.6%
자 79
 
6.6%
치 79
 
6.6%
시 74
 
6.2%
로 36
 
3.0%
길 35
 
2.9%
Other values (74) 403
33.6%

데이터기준일자
Categorical

CONSTANT 

Distinct1
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Memory size780.0 B
2023-07-13
81 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2023-07-13
2nd row2023-07-13
3rd row2023-07-13
4th row2023-07-13
5th row2023-07-13

Common Values

ValueCountFrequency (%)
2023-07-13 81
100.0%

Length

2023-12-13T00:06:48.228893image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T00:06:48.310599image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2023-07-13 81
100.0%

Correlations

2023-12-13T00:06:48.372863image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
구분행정시상호명목재생산업 등록번호주소
구분1.0000.0750.6180.0000.638
행정시0.0751.0001.0001.0001.000
상호명0.6181.0001.0000.9991.000
목재생산업 등록번호0.0001.0000.9991.0000.998
주소0.6381.0001.0000.9981.000
2023-12-13T00:06:48.462560image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
행정시구분
행정시1.0000.122
구분0.1221.000
2023-12-13T00:06:48.534709image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
구분행정시
구분1.0000.122
행정시0.1221.000

Missing values

2023-12-13T00:06:45.825509image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T00:06:45.984582image/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

구분행정시상호명목재생산업 등록번호주소데이터기준일자
0원목생산업제주시대림목재제주 제주 제2013-8호제주특별자치도 제주시 구좌읍 세종로 222-12023-07-13
1원목생산업제주시대합제재소제주 제주 제2013-9호제주특별자치도 제주시 조천읍 와흘리 4462023-07-13
2원목생산업제주시우성제재소제주 제주 제2013-10호제주특별자치도 제주시 한림읍 상대리 1292-12023-07-13
3원목생산업제주시성복제재소제주 제주 제2013-11호제주특별자치도 제주시 한림읍 명월성로 6432023-07-13
4원목생산업제주시한일목재비료제주 제주 제2013-12호제주특별자치도 제주시 한경면 복호로 21-72023-07-13
5원목생산업제주시영평제재소제주 제주 제2013-13호제주특별자치도 제주시 영평길 225-332023-07-13
6원목생산업제주시영농조합 동경목재산업제주 제주 제2013-14호제주특별자치도 제주시 조천읍 신촌남8길 264-152023-07-13
7원목생산업제주시오라목재제재소제주 제주 제2013-15호제주특별자치도 제주시 연미2길 412023-07-13
8원목생산업제주시정목제재소제주 제주 제2013-16호제주특별자치도 제주시 애월읍 해암이길 792023-07-13
9원목생산업제주시세명개발제주 제주 제2018-3호제주특별자치도 제주시 특별자치도,노형동 677 2번지 202호2023-07-13
구분행정시상호명목재생산업 등록번호주소데이터기준일자
71목재수입유통업제주시㈜청해인터내셔널제주 제주 제2015-3호<NA>2023-07-13
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