Overview

Dataset statistics

Number of variables5
Number of observations25
Missing cells1
Missing cells (%)0.8%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.1 KiB
Average record size in memory45.3 B

Variable types

Text3
Categorical2

Dataset

Description군포시 소규모 사업장 대기오염방지시설 설치 지원사업 해당업체 현황으로 상호명, 소재지주소, 연락처, 방지시설종류, 데이터기준일자 항목을 제공합니다.
URLhttps://www.data.go.kr/data/15077254/fileData.do

Alerts

데이터기준일자 has constant value ""Constant
연락처 has 1 (4.0%) missing valuesMissing
상호명 has unique valuesUnique
소재지 주소 has unique valuesUnique

Reproduction

Analysis started2023-12-11 22:57:16.993320
Analysis finished2023-12-11 22:57:17.335867
Duration0.34 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

상호명
Text

UNIQUE 

Distinct25
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size332.0 B
2023-12-12T07:57:17.477010image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length11
Median length9
Mean length6.56
Min length2

Characters and Unicode

Total characters164
Distinct characters78
Distinct categories5 ?
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 (%)100.0%

Sample

1st row지승자동차공업사㈜
2nd row나래산업
3rd row㈜유진전자
4th row삼안자동차정비㈜
5th row㈜금강모터스
ValueCountFrequency (%)
지승자동차공업사㈜ 1
 
3.6%
나래산업 1
 
3.6%
다이아 1
 
3.6%
케이원 1
 
3.6%
현대코팅 1
 
3.6%
글로윈스 1
 
3.6%
주식회사 1
 
3.6%
㈜동부자동차공업사 1
 
3.6%
금정자동차서비스 1
 
3.6%
vetro 1
 
3.6%
Other values (18) 18
64.3%
2023-12-12T07:57:17.798531image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
자 11
 
6.7%
동 8
 
4.9%
차 7
 
4.3%
㈜ 7
 
4.3%
스 6
 
3.7%
공 6
 
3.7%
업 6
 
3.7%
사 6
 
3.7%
비 5
 
3.0%
정 5
 
3.0%
Other values (68) 97
59.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 143
87.2%
Uppercase Letter 9
 
5.5%
Other Symbol 7
 
4.3%
Space Separator 3
 
1.8%
Decimal Number 2
 
1.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
자 11
 
7.7%
동 8
 
5.6%
차 7
 
4.9%
스 6
 
4.2%
공 6
 
4.2%
업 6
 
4.2%
사 6
 
4.2%
비 5
 
3.5%
정 5
 
3.5%
전 4
 
2.8%
Other values (56) 79
55.2%
Uppercase Letter
ValueCountFrequency (%)
O 2
22.2%
R 1
11.1%
I 1
11.1%
N 1
11.1%
V 1
11.1%
E 1
11.1%
T 1
11.1%
K 1
11.1%
Decimal Number
ValueCountFrequency (%)
2 1
50.0%
1 1
50.0%
Other Symbol
ValueCountFrequency (%)
㈜ 7
100.0%
Space Separator
ValueCountFrequency (%)
3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 150
91.5%
Latin 9
 
5.5%
Common 5
 
3.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
자 11
 
7.3%
동 8
 
5.3%
차 7
 
4.7%
㈜ 7
 
4.7%
스 6
 
4.0%
공 6
 
4.0%
업 6
 
4.0%
사 6
 
4.0%
비 5
 
3.3%
정 5
 
3.3%
Other values (57) 83
55.3%
Latin
ValueCountFrequency (%)
O 2
22.2%
R 1
11.1%
I 1
11.1%
N 1
11.1%
V 1
11.1%
E 1
11.1%
T 1
11.1%
K 1
11.1%
Common
ValueCountFrequency (%)
3
60.0%
2 1
 
20.0%
1 1
 
20.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 143
87.2%
ASCII 14
 
8.5%
None 7
 
4.3%

Most frequent character per block

Hangul
ValueCountFrequency (%)
자 11
 
7.7%
동 8
 
5.6%
차 7
 
4.9%
스 6
 
4.2%
공 6
 
4.2%
업 6
 
4.2%
사 6
 
4.2%
비 5
 
3.5%
정 5
 
3.5%
전 4
 
2.8%
Other values (56) 79
55.2%
None
ValueCountFrequency (%)
㈜ 7
100.0%
ASCII
ValueCountFrequency (%)
3
21.4%
O 2
14.3%
R 1
 
7.1%
2 1
 
7.1%
I 1
 
7.1%
N 1
 
7.1%
V 1
 
7.1%
E 1
 
7.1%
T 1
 
7.1%
K 1
 
7.1%

소재지 주소
Text

UNIQUE 

Distinct25
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size332.0 B
2023-12-12T07:57:18.059947image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length30
Median length28
Mean length23.52
Min length19

Characters and Unicode

Total characters588
Distinct characters51
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

Unique25 ?
Unique (%)100.0%

Sample

1st row경기도 군포시 고래들길 40 (당정동)
2nd row경기도 군포시 당정로27번길 34 (당정동)
3rd row경기도 군포시 산본로 85-21 (당정동)
4th row경기도 군포시 엘에스로182번길 10-1 (산본동)
5th row경기도 군포시 엘에스로182번길 35 (산본동)
ValueCountFrequency (%)
경기도 25
19.8%
군포시 25
19.8%
당정동 17
13.5%
엘에스로182번길 4
 
3.2%
3 3
 
2.4%
산본동 3
 
2.4%
농심로 2
 
1.6%
당정로28번길 2
 
1.6%
산본로85번길 2
 
1.6%
당정로 2
 
1.6%
Other values (39) 41
32.5%
2023-12-12T07:57:18.383833image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
101
 
17.2%
정 27
 
4.6%
당 27
 
4.6%
경 25
 
4.3%
도 25
 
4.3%
군 25
 
4.3%
포 25
 
4.3%
시 25
 
4.3%
기 25
 
4.3%
동 25
 
4.3%
Other values (41) 258
43.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 339
57.7%
Space Separator 101
 
17.2%
Decimal Number 90
 
15.3%
Close Punctuation 24
 
4.1%
Open Punctuation 24
 
4.1%
Dash Punctuation 6
 
1.0%
Other Punctuation 3
 
0.5%
Uppercase Letter 1
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
정 27
 
8.0%
당 27
 
8.0%
경 25
 
7.4%
도 25
 
7.4%
군 25
 
7.4%
포 25
 
7.4%
시 25
 
7.4%
기 25
 
7.4%
동 25
 
7.4%
로 23
 
6.8%
Other values (25) 87
25.7%
Decimal Number
ValueCountFrequency (%)
1 19
21.1%
8 15
16.7%
2 14
15.6%
5 9
10.0%
7 8
8.9%
3 7
 
7.8%
4 6
 
6.7%
0 5
 
5.6%
6 5
 
5.6%
9 2
 
2.2%
Space Separator
ValueCountFrequency (%)
101
100.0%
Close Punctuation
ValueCountFrequency (%)
) 24
100.0%
Open Punctuation
ValueCountFrequency (%)
( 24
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 6
100.0%
Other Punctuation
ValueCountFrequency (%)
, 3
100.0%
Uppercase Letter
ValueCountFrequency (%)
B 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 339
57.7%
Common 248
42.2%
Latin 1
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
정 27
 
8.0%
당 27
 
8.0%
경 25
 
7.4%
도 25
 
7.4%
군 25
 
7.4%
포 25
 
7.4%
시 25
 
7.4%
기 25
 
7.4%
동 25
 
7.4%
로 23
 
6.8%
Other values (25) 87
25.7%
Common
ValueCountFrequency (%)
101
40.7%
) 24
 
9.7%
( 24
 
9.7%
1 19
 
7.7%
8 15
 
6.0%
2 14
 
5.6%
5 9
 
3.6%
7 8
 
3.2%
3 7
 
2.8%
- 6
 
2.4%
Other values (5) 21
 
8.5%
Latin
ValueCountFrequency (%)
B 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 339
57.7%
ASCII 249
42.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
101
40.6%
) 24
 
9.6%
( 24
 
9.6%
1 19
 
7.6%
8 15
 
6.0%
2 14
 
5.6%
5 9
 
3.6%
7 8
 
3.2%
3 7
 
2.8%
- 6
 
2.4%
Other values (6) 22
 
8.8%
Hangul
ValueCountFrequency (%)
정 27
 
8.0%
당 27
 
8.0%
경 25
 
7.4%
도 25
 
7.4%
군 25
 
7.4%
포 25
 
7.4%
시 25
 
7.4%
기 25
 
7.4%
동 25
 
7.4%
로 23
 
6.8%
Other values (25) 87
25.7%

연락처
Text

MISSING 

Distinct24
Distinct (%)100.0%
Missing1
Missing (%)4.0%
Memory size332.0 B
2023-12-12T07:57:18.560276image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length12
Min length12

Characters and Unicode

Total characters288
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

Unique24 ?
Unique (%)100.0%

Sample

1st row031-455-7001
2nd row031-458-3345
3rd row031-451-3934
4th row031-427-6003
5th row031-456-8737
ValueCountFrequency (%)
031-455-7001 1
 
4.2%
031-458-3345 1
 
4.2%
031-427-5237 1
 
4.2%
031-445-2570 1
 
4.2%
031-429-3355 1
 
4.2%
031-429-5511 1
 
4.2%
031-451-0231 1
 
4.2%
031-471-9777 1
 
4.2%
031-427-7275 1
 
4.2%
031-429-4494 1
 
4.2%
Other values (14) 14
58.3%
2023-12-12T07:57:18.890047image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 48
16.7%
0 36
12.5%
3 36
12.5%
1 35
12.2%
4 35
12.2%
5 31
10.8%
7 19
 
6.6%
2 19
 
6.6%
8 10
 
3.5%
9 10
 
3.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 240
83.3%
Dash Punctuation 48
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 36
15.0%
3 36
15.0%
1 35
14.6%
4 35
14.6%
5 31
12.9%
7 19
7.9%
2 19
7.9%
8 10
 
4.2%
9 10
 
4.2%
6 9
 
3.8%
Dash Punctuation
ValueCountFrequency (%)
- 48
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 288
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 48
16.7%
0 36
12.5%
3 36
12.5%
1 35
12.2%
4 35
12.2%
5 31
10.8%
7 19
 
6.6%
2 19
 
6.6%
8 10
 
3.5%
9 10
 
3.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 288
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 48
16.7%
0 36
12.5%
3 36
12.5%
1 35
12.2%
4 35
12.2%
5 31
10.8%
7 19
 
6.6%
2 19
 
6.6%
8 10
 
3.5%
9 10
 
3.5%

방지시설 종류
Categorical

Distinct12
Distinct (%)48.0%
Missing0
Missing (%)0.0%
Memory size332.0 B
여과및흡착에의한시설
9 
흡착에의한시설
5 
여과집진시설+흡착에의한시설
2 
관성력집진시설+흡수에의한시설+흡착에의한시설
1 
흡수에의한시설
1 
Other values (7)
7 

Length

Max length23
Median length22
Mean length11.84
Min length7

Unique

Unique9 ?
Unique (%)36.0%

Sample

1st row여과및흡착에의한시설
2nd row흡착에의한시설
3rd row관성력집진시설+흡수에의한시설+흡착에의한시설
4th row여과및흡착에의한시설
5th row여과및흡착에의한시설

Common Values

ValueCountFrequency (%)
여과및흡착에의한시설 9
36.0%
흡착에의한시설 5
20.0%
여과집진시설+흡착에의한시설 2
 
8.0%
관성력집진시설+흡수에의한시설+흡착에의한시설 1
 
4.0%
흡수에의한시설 1
 
4.0%
여과집진시설+흡착에의한시설+원심력집진시설 1
 
4.0%
흡수에의한시설+흡착에의한시설 1
 
4.0%
흡수에의한시설+원심력집진시설+여과집진시설 1
 
4.0%
원심력집진시설+여과집진시설+흡착에의한시설 1
 
4.0%
흡착에 의한 시설 1
 
4.0%
Other values (2) 2
 
8.0%

Length

2023-12-12T07:57:19.011117image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
여과및흡착에의한시설 9
27.3%
흡착에의한시설 5
15.2%
의한 3
 
9.1%
시설 3
 
9.1%
여과집진시설+흡착에의한시설 2
 
6.1%
흡착에 2
 
6.1%
관성력집진시설+흡수에의한시설+흡착에의한시설 1
 
3.0%
흡수에의한시설 1
 
3.0%
여과집진시설+흡착에의한시설+원심력집진시설 1
 
3.0%
흡수에의한시설+흡착에의한시설 1
 
3.0%
Other values (5) 5
15.2%

데이터기준일자
Categorical

CONSTANT 

Distinct1
Distinct (%)4.0%
Missing0
Missing (%)0.0%
Memory size332.0 B
2023-06-07
25 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2023-06-07
2nd row2023-06-07
3rd row2023-06-07
4th row2023-06-07
5th row2023-06-07

Common Values

ValueCountFrequency (%)
2023-06-07 25
100.0%

Length

2023-12-12T07:57:19.125588image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T07:57:19.202780image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2023-06-07 25
100.0%

Correlations

2023-12-12T07:57:19.252269image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
상호명소재지 주소연락처방지시설 종류
상호명1.0001.0001.0001.000
소재지 주소1.0001.0001.0001.000
연락처1.0001.0001.0001.000
방지시설 종류1.0001.0001.0001.000

Missing values

2023-12-12T07:57:17.208147image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T07:57:17.300271image/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

상호명소재지 주소연락처방지시설 종류데이터기준일자
0지승자동차공업사㈜경기도 군포시 고래들길 40 (당정동)031-455-7001여과및흡착에의한시설2023-06-07
1나래산업경기도 군포시 당정로27번길 34 (당정동)031-458-3345흡착에의한시설2023-06-07
2㈜유진전자경기도 군포시 산본로 85-21 (당정동)031-451-3934관성력집진시설+흡수에의한시설+흡착에의한시설2023-06-07
3삼안자동차정비㈜경기도 군포시 엘에스로182번길 10-1 (산본동)031-427-6003여과및흡착에의한시설2023-06-07
4㈜금강모터스경기도 군포시 엘에스로182번길 35 (산본동)031-456-8737여과및흡착에의한시설2023-06-07
5오성테크경기도 군포시 당정로75번길 15-1 (당정동)031-451-6340흡착에의한시설2023-06-07
6OK자동차1급정비공장경기도 군포시 공단로 111 (당동)031-451-7585여과및흡착에의한시설2023-06-07
7백산크레인모터스경기도 군포시 엘에스로182번길 28-6 (산본동)031-452-2629여과및흡착에의한시설2023-06-07
8신흥자동차정비공사경기도 군포시 산본로85번길 3 (당정동)031-453-8450여과및흡착에의한시설2023-06-07
9㈜쎄론트경기도 군포시 맑은내1길 83-1 (당정동)031-427-8568흡수에의한시설2023-06-07
상호명소재지 주소연락처방지시설 종류데이터기준일자
15두호전자산업경기도 군포시 당정로28번길 27 (당정동)031-429-4494흡착에의한시설2023-06-07
16신한모터스경기도 군포시 산본로85번길 3, 지층 2층 (당정동)031-427-7275여과및흡착에의한시설2023-06-07
17원진2급공업사경기도 군포시 당정로 41 (당정동)031-471-9777여과및흡착에의한시설2023-06-07
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