Overview

Dataset statistics

Number of variables5
Number of observations110
Missing cells1
Missing cells (%)0.2%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory4.4 KiB
Average record size in memory41.2 B

Variable types

Text3
Categorical1
DateTime1

Dataset

Description제주특별자치도 제주시 관내 건설업 관련 토목건축공사업 현황 데이터입니다.
Author제주특별자치도 제주시
URLhttps://www.data.go.kr/data/15045398/fileData.do

Alerts

업종 has constant value ""Constant
데이터기준일자 has constant value ""Constant
업체명 has unique valuesUnique

Reproduction

Analysis started2023-12-12 11:58:00.680514
Analysis finished2023-12-12 11:58:01.063632
Duration0.38 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

업체명
Text

UNIQUE 

Distinct110
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1012.0 B
2023-12-12T20:58:01.223775image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length10
Mean length9.5454545
Min length6

Characters and Unicode

Total characters1050
Distinct characters116
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

Unique110 ?
Unique (%)100.0%

Sample

1st row(주)대방건설
2nd row(주)월가산업개발
3rd row가나종합건설주식회사
4th row경림종합건설주식회사
5th row광명종합건설주식회사
ValueCountFrequency (%)
주)대방건설 1
 
0.9%
주식회사서하음종합건설 1
 
0.9%
주식회사이수종합건설 1
 
0.9%
주식회사이다종합건설 1
 
0.9%
주식회사영도종합건설 1
 
0.9%
주식회사에스엠건설 1
 
0.9%
주식회사에스에이치종합건설 1
 
0.9%
주식회사아름종합건설 1
 
0.9%
주식회사아람 1
 
0.9%
주식회사신광종합건설 1
 
0.9%
Other values (100) 100
90.9%
2023-12-12T20:58:01.623057image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
112
10.7%
105
10.0%
104
9.9%
103
9.8%
103
9.8%
100
9.5%
82
 
7.8%
81
 
7.7%
11
 
1.0%
10
 
1.0%
Other values (106) 239
22.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1038
98.9%
Open Punctuation 6
 
0.6%
Close Punctuation 6
 
0.6%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
112
10.8%
105
10.1%
104
10.0%
103
9.9%
103
9.9%
100
9.6%
82
 
7.9%
81
 
7.8%
11
 
1.1%
10
 
1.0%
Other values (104) 227
21.9%
Open Punctuation
ValueCountFrequency (%)
( 6
100.0%
Close Punctuation
ValueCountFrequency (%)
) 6
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1038
98.9%
Common 12
 
1.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
112
10.8%
105
10.1%
104
10.0%
103
9.9%
103
9.9%
100
9.6%
82
 
7.9%
81
 
7.8%
11
 
1.1%
10
 
1.0%
Other values (104) 227
21.9%
Common
ValueCountFrequency (%)
( 6
50.0%
) 6
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1038
98.9%
ASCII 12
 
1.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
112
10.8%
105
10.1%
104
10.0%
103
9.9%
103
9.9%
100
9.6%
82
 
7.9%
81
 
7.8%
11
 
1.1%
10
 
1.0%
Other values (104) 227
21.9%
ASCII
ValueCountFrequency (%)
( 6
50.0%
) 6
50.0%

업종
Categorical

CONSTANT 

Distinct1
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size1012.0 B
토목건축공사업
110 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
토목건축공사업 110
100.0%

Length

2023-12-12T20:58:01.746340image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T20:58:01.849948image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
토목건축공사업 110
100.0%
Distinct108
Distinct (%)98.2%
Missing0
Missing (%)0.0%
Memory size1012.0 B
2023-12-12T20:58:02.418307image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length27
Median length26
Mean length20.172727
Min length17

Characters and Unicode

Total characters2219
Distinct characters99
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

Unique106 ?
Unique (%)96.4%

Sample

1st row제주특별자치도 제주시 중앙로 20
2nd row제주특별자치도 제주시 원노형6길 12
3rd row제주특별자치도 서귀포시 태평로 569
4th row제주특별자치도 제주시 연동8길 29
5th row제주특별자치도 제주시 남녕로4길 43
ValueCountFrequency (%)
제주특별자치도 109
24.5%
제주시 99
22.2%
서귀포시 10
 
2.2%
고마로 5
 
1.1%
6 5
 
1.1%
32 4
 
0.9%
연북로 4
 
0.9%
15 3
 
0.7%
원노형5길 3
 
0.7%
중앙로 3
 
0.7%
Other values (160) 200
44.9%
2023-12-12T20:58:02.833164image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
383
17.3%
209
 
9.4%
209
 
9.4%
118
 
5.3%
110
 
5.0%
110
 
5.0%
110
 
5.0%
110
 
5.0%
109
 
4.9%
79
 
3.6%
Other values (89) 672
30.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1512
68.1%
Space Separator 383
 
17.3%
Decimal Number 310
 
14.0%
Dash Punctuation 14
 
0.6%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
209
13.8%
209
13.8%
118
 
7.8%
110
 
7.3%
110
 
7.3%
110
 
7.3%
110
 
7.3%
109
 
7.2%
79
 
5.2%
50
 
3.3%
Other values (77) 298
19.7%
Decimal Number
ValueCountFrequency (%)
1 64
20.6%
2 45
14.5%
3 42
13.5%
5 30
9.7%
8 27
8.7%
6 26
8.4%
4 23
 
7.4%
9 21
 
6.8%
7 20
 
6.5%
0 12
 
3.9%
Space Separator
ValueCountFrequency (%)
383
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 14
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1512
68.1%
Common 707
31.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
209
13.8%
209
13.8%
118
 
7.8%
110
 
7.3%
110
 
7.3%
110
 
7.3%
110
 
7.3%
109
 
7.2%
79
 
5.2%
50
 
3.3%
Other values (77) 298
19.7%
Common
ValueCountFrequency (%)
383
54.2%
1 64
 
9.1%
2 45
 
6.4%
3 42
 
5.9%
5 30
 
4.2%
8 27
 
3.8%
6 26
 
3.7%
4 23
 
3.3%
9 21
 
3.0%
7 20
 
2.8%
Other values (2) 26
 
3.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1512
68.1%
ASCII 707
31.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
383
54.2%
1 64
 
9.1%
2 45
 
6.4%
3 42
 
5.9%
5 30
 
4.2%
8 27
 
3.8%
6 26
 
3.7%
4 23
 
3.3%
9 21
 
3.0%
7 20
 
2.8%
Other values (2) 26
 
3.7%
Hangul
ValueCountFrequency (%)
209
13.8%
209
13.8%
118
 
7.8%
110
 
7.3%
110
 
7.3%
110
 
7.3%
110
 
7.3%
109
 
7.2%
79
 
5.2%
50
 
3.3%
Other values (77) 298
19.7%
Distinct109
Distinct (%)100.0%
Missing1
Missing (%)0.9%
Memory size1012.0 B
2023-12-12T20:58:03.069875image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length12.018349
Min length12

Characters and Unicode

Total characters1310
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

Unique109 ?
Unique (%)100.0%

Sample

1st row064-722-9573
2nd row064-745-3341
3rd row064-739-3225
4th row064-749-6112
5th row064-749-7200
ValueCountFrequency (%)
064-722-9573 1
 
0.9%
064-712-0471 1
 
0.9%
064-721-3311 1
 
0.9%
064-726-5593 1
 
0.9%
064-752-2411 1
 
0.9%
064-751-3220 1
 
0.9%
064-713-8731 1
 
0.9%
064-748-9393 1
 
0.9%
064-722-0065 1
 
0.9%
064-747-0861 1
 
0.9%
Other values (99) 99
90.8%
2023-12-12T20:58:03.416613image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 218
16.6%
0 194
14.8%
4 187
14.3%
6 157
12.0%
7 148
11.3%
1 108
8.2%
5 77
 
5.9%
2 76
 
5.8%
3 58
 
4.4%
9 46
 
3.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1092
83.4%
Dash Punctuation 218
 
16.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 194
17.8%
4 187
17.1%
6 157
14.4%
7 148
13.6%
1 108
9.9%
5 77
 
7.1%
2 76
 
7.0%
3 58
 
5.3%
9 46
 
4.2%
8 41
 
3.8%
Dash Punctuation
ValueCountFrequency (%)
- 218
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1310
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 218
16.6%
0 194
14.8%
4 187
14.3%
6 157
12.0%
7 148
11.3%
1 108
8.2%
5 77
 
5.9%
2 76
 
5.8%
3 58
 
4.4%
9 46
 
3.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1310
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 218
16.6%
0 194
14.8%
4 187
14.3%
6 157
12.0%
7 148
11.3%
1 108
8.2%
5 77
 
5.9%
2 76
 
5.8%
3 58
 
4.4%
9 46
 
3.5%

데이터기준일자
Date

CONSTANT 

Distinct1
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size1012.0 B
Minimum2020-09-28 00:00:00
Maximum2020-09-28 00:00:00
2023-12-12T20:58:03.521878image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T20:58:03.615201image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Missing values

2023-12-12T20:58:00.889855image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T20:58:01.020971image/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

업체명업종도로명주소전화번호데이터기준일자
0(주)대방건설토목건축공사업제주특별자치도 제주시 중앙로 20064-722-95732020-09-28
1(주)월가산업개발토목건축공사업제주특별자치도 제주시 원노형6길 12064-745-33412020-09-28
2가나종합건설주식회사토목건축공사업제주특별자치도 서귀포시 태평로 569064-739-32252020-09-28
3경림종합건설주식회사토목건축공사업제주특별자치도 제주시 연동8길 29064-749-61122020-09-28
4광명종합건설주식회사토목건축공사업제주특별자치도 제주시 남녕로4길 43064-749-72002020-09-28
5광영종합건설주식회사토목건축공사업제주특별자치도 제주시 조천읍 함와로 504064-759-77752020-09-28
6극동종합개발주식회사토목건축공사업제주특별자치도 제주시 광양8길 32064-751-31002020-09-28
7금나종합건설주식회사토목건축공사업제주특별자치도 서귀포시 동홍남로 79064-763-88042020-09-28
8금성종합건설주식회사토목건축공사업제주특별자치도 서귀포시 동문로 15064-762-81182020-09-28
9기덕종합건설주식회사토목건축공사업제주특별자치도 제주시 노형8길 17064-746-04012020-09-28
업체명업종도로명주소전화번호데이터기준일자
100한일종합건설주식회사토목건축공사업제주특별자치도 제주시 고산동산5길 34-1064-725-02512020-09-28
101합자회사동남종합건설토목건축공사업제주특별자치도 제주시 청사로 77064-753-81812020-09-28
102해양종합건설주식회사토목건축공사업제주특별자치도 제주시 임항로 14064-756-21112020-09-28
103현신종합건설(주)토목건축공사업제주특별자치도 제주시 중앙로 2487층064-725-21102020-09-28
104형남종합건설주식회사토목건축공사업제주특별자치도 서귀포시 동홍동로 39064-732-73382020-09-28
105형지종합건설주식회사토목건축공사업제주특별자치도 제주시 도령로 128064-742-51612020-09-28
106황보종합건설주식회사토목건축공사업제주특별자치도 제주시 월랑로 93064-712-83002020-09-28
107회성종합건설주식회사토목건축공사업제주특별자치도 제주시 원남6길 6064-745-03112020-09-28
108효성종합건설주식회사토목건축공사업제주특별자치도 제주시 원노형5길 20064-749-12352020-09-28
109흥남종합건설주식회사토목건축공사업제주특별자치도 제주시 고마로19길 29064-756-12502020-09-28