Overview

Dataset statistics

Number of variables5
Number of observations34
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.5 KiB
Average record size in memory43.9 B

Variable types

Categorical2
Text3

Dataset

Description제주시 하천 업무에 따른 제주특별자치도 제주시 관내 골재업 관련 현황 데이터를 제공합니다.항목 : 업종, 상호, 소재지, 전화번호 정보
Author제주특별자치도 제주시
URLhttps://www.data.go.kr/data/3083428/fileData.do

Alerts

데이터기준일자 has constant value ""Constant

Reproduction

Analysis started2023-12-12 07:28:43.006953
Analysis finished2023-12-12 07:28:43.371986
Duration0.37 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

업종
Categorical

Distinct5
Distinct (%)14.7%
Missing0
Missing (%)0.0%
Memory size404.0 B
골재선별·파쇄업
13 
바다골재·선별세척업
10 
육상골재 채취업
4 
산림골재 채취업
4 
바다골재 채취업
3 

Length

Max length10
Median length8
Mean length8.5882353
Min length8

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row육상골재 채취업
2nd row육상골재 채취업
3rd row육상골재 채취업
4th row육상골재 채취업
5th row바다골재 채취업

Common Values

ValueCountFrequency (%)
골재선별·파쇄업 13
38.2%
바다골재·선별세척업 10
29.4%
육상골재 채취업 4
 
11.8%
산림골재 채취업 4
 
11.8%
바다골재 채취업 3
 
8.8%

Length

2023-12-12T16:28:43.477449image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T16:28:43.625029image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
골재선별·파쇄업 13
28.9%
채취업 11
24.4%
바다골재·선별세척업 10
22.2%
육상골재 4
 
8.9%
산림골재 4
 
8.9%
바다골재 3
 
6.7%

상호
Text

Distinct23
Distinct (%)67.6%
Missing0
Missing (%)0.0%
Memory size404.0 B
2023-12-12T16:28:43.788028image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length9
Mean length9.2941176
Min length7

Characters and Unicode

Total characters316
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

Unique16 ?
Unique (%)47.1%

Sample

1st row주식회사 부일산업
2nd row주식회사 세원산업
3rd row주식회사 요석산업
4th row이도에코제주 주식회사
5th row대양해운 주식회사
ValueCountFrequency (%)
주식회사 34
50.0%
이도에코제주 3
 
4.4%
세원산업 3
 
4.4%
요석산업 3
 
4.4%
부일산업 3
 
4.4%
상우개발 2
 
2.9%
영진기업 2
 
2.9%
세기산업 2
 
2.9%
제이건설 1
 
1.5%
한라해운 1
 
1.5%
Other values (14) 14
20.6%
2023-12-12T16:28:44.093492image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 39
12.3%
사 35
 
11.1%
회 34
 
10.8%
34
 
10.8%
식 34
 
10.8%
업 16
 
5.1%
산 14
 
4.4%
제 6
 
1.9%
미 5
 
1.6%
콘 5
 
1.6%
Other values (44) 94
29.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 282
89.2%
Space Separator 34
 
10.8%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 39
13.8%
사 35
 
12.4%
회 34
 
12.1%
식 34
 
12.1%
업 16
 
5.7%
산 14
 
5.0%
제 6
 
2.1%
미 5
 
1.8%
콘 5
 
1.8%
레 5
 
1.8%
Other values (43) 89
31.6%
Space Separator
ValueCountFrequency (%)
34
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 282
89.2%
Common 34
 
10.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 39
13.8%
사 35
 
12.4%
회 34
 
12.1%
식 34
 
12.1%
업 16
 
5.7%
산 14
 
5.0%
제 6
 
2.1%
미 5
 
1.8%
콘 5
 
1.8%
레 5
 
1.8%
Other values (43) 89
31.6%
Common
ValueCountFrequency (%)
34
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 282
89.2%
ASCII 34
 
10.8%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 39
13.8%
사 35
 
12.4%
회 34
 
12.1%
식 34
 
12.1%
업 16
 
5.7%
산 14
 
5.0%
제 6
 
2.1%
미 5
 
1.8%
콘 5
 
1.8%
레 5
 
1.8%
Other values (43) 89
31.6%
ASCII
ValueCountFrequency (%)
34
100.0%

소재지
Text

Distinct21
Distinct (%)61.8%
Missing0
Missing (%)0.0%
Memory size404.0 B
2023-12-12T16:28:44.336246image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length28
Median length25
Mean length23.470588
Min length17

Characters and Unicode

Total characters798
Distinct characters72
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique13 ?
Unique (%)38.2%

Sample

1st row제주특별자치도 제주시 구좌읍 월행남길 111
2nd row제주특별자치도 제주시 구좌읍 북촌12길 190
3rd row제주특별자치도 제주시 애월읍 소길리 1337-1
4th row제주특별자치도 제주시 비월남길 6, 2층(연동)
5th row제주특별자치도 제주시 동문로 125(건입동)
ValueCountFrequency (%)
제주특별자치도 34
21.0%
제주시 34
21.0%
구좌읍 7
 
4.3%
애월읍 6
 
3.7%
조천읍 6
 
3.7%
6 5
 
3.1%
북촌12길 5
 
3.1%
월행남길 4
 
2.5%
111 4
 
2.5%
비월남길 3
 
1.9%
Other values (40) 54
33.3%
2023-12-12T16:28:44.678643image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
128
16.0%
제 68
 
8.5%
주 68
 
8.5%
1 37
 
4.6%
자 34
 
4.3%
치 34
 
4.3%
도 34
 
4.3%
별 34
 
4.3%
특 34
 
4.3%
시 34
 
4.3%
Other values (62) 293
36.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 533
66.8%
Space Separator 128
 
16.0%
Decimal Number 113
 
14.2%
Dash Punctuation 8
 
1.0%
Other Punctuation 6
 
0.8%
Close Punctuation 5
 
0.6%
Open Punctuation 5
 
0.6%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
제 68
12.8%
주 68
12.8%
자 34
 
6.4%
치 34
 
6.4%
도 34
 
6.4%
별 34
 
6.4%
특 34
 
6.4%
시 34
 
6.4%
길 26
 
4.9%
읍 19
 
3.6%
Other values (47) 148
27.8%
Decimal Number
ValueCountFrequency (%)
1 37
32.7%
2 16
14.2%
6 12
 
10.6%
3 12
 
10.6%
7 9
 
8.0%
9 8
 
7.1%
4 7
 
6.2%
0 5
 
4.4%
5 5
 
4.4%
8 2
 
1.8%
Space Separator
ValueCountFrequency (%)
128
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 8
100.0%
Other Punctuation
ValueCountFrequency (%)
, 6
100.0%
Close Punctuation
ValueCountFrequency (%)
) 5
100.0%
Open Punctuation
ValueCountFrequency (%)
( 5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 533
66.8%
Common 265
33.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
제 68
12.8%
주 68
12.8%
자 34
 
6.4%
치 34
 
6.4%
도 34
 
6.4%
별 34
 
6.4%
특 34
 
6.4%
시 34
 
6.4%
길 26
 
4.9%
읍 19
 
3.6%
Other values (47) 148
27.8%
Common
ValueCountFrequency (%)
128
48.3%
1 37
 
14.0%
2 16
 
6.0%
6 12
 
4.5%
3 12
 
4.5%
7 9
 
3.4%
9 8
 
3.0%
- 8
 
3.0%
4 7
 
2.6%
, 6
 
2.3%
Other values (5) 22
 
8.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 533
66.8%
ASCII 265
33.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
128
48.3%
1 37
 
14.0%
2 16
 
6.0%
6 12
 
4.5%
3 12
 
4.5%
7 9
 
3.4%
9 8
 
3.0%
- 8
 
3.0%
4 7
 
2.6%
, 6
 
2.3%
Other values (5) 22
 
8.3%
Hangul
ValueCountFrequency (%)
제 68
12.8%
주 68
12.8%
자 34
 
6.4%
치 34
 
6.4%
도 34
 
6.4%
별 34
 
6.4%
특 34
 
6.4%
시 34
 
6.4%
길 26
 
4.9%
읍 19
 
3.6%
Other values (47) 148
27.8%

전화번호
Text

Distinct24
Distinct (%)70.6%
Missing0
Missing (%)0.0%
Memory size404.0 B
2023-12-12T16:28:44.888147image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length12.029412
Min length12

Characters and Unicode

Total characters409
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

Unique17 ?
Unique (%)50.0%

Sample

1st row064-784-6000
2nd row064-782-0484
3rd row064-799-2116
4th row064-746-8891
5th row064-722-3441
ValueCountFrequency (%)
064-784-6000 3
 
8.8%
064-799-2116 3
 
8.8%
064-746-8891 3
 
8.8%
064-784-3579 2
 
5.9%
064-799-5860 2
 
5.9%
064-782-0484 2
 
5.9%
064-782-5900 2
 
5.9%
064-782-9220 1
 
2.9%
0504-077-9554 1
 
2.9%
064-745-3239 1
 
2.9%
Other values (14) 14
41.2%
2023-12-12T16:28:45.218419image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 68
16.6%
0 64
15.6%
4 59
14.4%
6 47
11.5%
7 39
9.5%
9 29
7.1%
8 27
 
6.6%
2 26
 
6.4%
5 21
 
5.1%
1 17
 
4.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 341
83.4%
Dash Punctuation 68
 
16.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 64
18.8%
4 59
17.3%
6 47
13.8%
7 39
11.4%
9 29
8.5%
8 27
7.9%
2 26
7.6%
5 21
 
6.2%
1 17
 
5.0%
3 12
 
3.5%
Dash Punctuation
ValueCountFrequency (%)
- 68
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 409
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 68
16.6%
0 64
15.6%
4 59
14.4%
6 47
11.5%
7 39
9.5%
9 29
7.1%
8 27
 
6.6%
2 26
 
6.4%
5 21
 
5.1%
1 17
 
4.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 409
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 68
16.6%
0 64
15.6%
4 59
14.4%
6 47
11.5%
7 39
9.5%
9 29
7.1%
8 27
 
6.6%
2 26
 
6.4%
5 21
 
5.1%
1 17
 
4.2%

데이터기준일자
Categorical

CONSTANT 

Distinct1
Distinct (%)2.9%
Missing0
Missing (%)0.0%
Memory size404.0 B
2023-07-31
34 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2023-07-31
2nd row2023-07-31
3rd row2023-07-31
4th row2023-07-31
5th row2023-07-31

Common Values

ValueCountFrequency (%)
2023-07-31 34
100.0%

Length

2023-12-12T16:28:45.358485image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T16:28:45.456536image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2023-07-31 34
100.0%

Correlations

2023-12-12T16:28:45.512168image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
업종상호소재지전화번호
업종1.0000.0000.0000.000
상호0.0001.0001.0001.000
소재지0.0001.0001.0001.000
전화번호0.0001.0001.0001.000

Missing values

2023-12-12T16:28:43.239923image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T16:28:43.330576image/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

업종상호소재지전화번호데이터기준일자
0육상골재 채취업주식회사 부일산업제주특별자치도 제주시 구좌읍 월행남길 111064-784-60002023-07-31
1육상골재 채취업주식회사 세원산업제주특별자치도 제주시 구좌읍 북촌12길 190064-782-04842023-07-31
2육상골재 채취업주식회사 요석산업제주특별자치도 제주시 애월읍 소길리 1337-1064-799-21162023-07-31
3육상골재 채취업이도에코제주 주식회사제주특별자치도 제주시 비월남길 6, 2층(연동)064-746-88912023-07-31
4바다골재 채취업대양해운 주식회사제주특별자치도 제주시 동문로 125(건입동)064-722-34412023-07-31
5바다골재 채취업일광산업 주식회사제주특별자치도 제주시 애월읍 고내로 69064-799-90472023-07-31
6바다골재 채취업주식회사 한라해운제주특별자치도 제주시 동문로 125(건입동)064-722-40532023-07-31
7산림골재 채취업주식회사 부일산업제주특별자치도 제주시 구좌읍 월행남길 111064-784-60002023-07-31
8산림골재 채취업주식회사 세원산업제주특별자치도 제주시 구좌읍 북촌12길 190064-782-04842023-07-31
9산림골재 채취업주식회사 요석산업제주특별자치도 제주시 애월읍 소길리 1337-1064-799-21162023-07-31
업종상호소재지전화번호데이터기준일자
24바다골재·선별세척업이도에코제주 주식회사제주특별자치도 제주시 비월남길 6, 2층(연동)064-746-88912023-07-31
25바다골재·선별세척업주식회사 세기산업제주특별자치도 제주시 고전길 6064-799-58602023-07-31
26바다골재·선별세척업주식회사 백록레미콘제주특별자치도 제주시 조천읍 함와로 155064-783-99612023-07-31
27바다골재·선별세척업주식회사 오성제주특별자치도 제주시 조천읍 북촌4길 73064-782-92202023-07-31
28바다골재·선별세척업오성산업 주식회사제주특별자치도 제주시 애월읍 광령평화2길 129-1064-748-23112023-07-31
29바다골재·선별세척업주식회사 제주레미콘제주특별자치도 제주시 선반로8길 22064-756-30372023-07-31
30바다골재·선별세척업주식회사 동홍레미콘제주특별자치도 제주시 애월읍 장소로 413064-799-52522023-07-31
31바다골재·선별세척업주식회사 부일레미콘제주특별자치도 제주시 구좌읍 월행남길 111064-745-32392023-07-31
32바다골재·선별세척업영진기업 주식회사제주특별자치도 제주시 조천읍 대와상길 49-6064-782-59002023-07-31
33바다골재·선별세척업주식회사 동신레미콘제주특별자치도 제주시 송이길 176064-723-44882023-07-31