Overview

Dataset statistics

Number of variables5
Number of observations165
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory6.6 KiB
Average record size in memory40.8 B

Variable types

Text4
DateTime1

Dataset

Description전라남도 광양시의 대기배출 시설설치 현황에대한 자료를 전국민들에게 무료로 포털에서 제공(사업장명, 도로명주소 등의 자료)합니다.
Author전라남도 광양시
URLhttps://www.data.go.kr/data/3079585/fileData.do

Alerts

데이터기준일 has constant value ""Constant
사업장명 has unique valuesUnique

Reproduction

Analysis started2024-03-23 05:42:50.792311
Analysis finished2024-03-23 05:42:51.577131
Duration0.78 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

사업장명
Text

UNIQUE 

Distinct165
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
2024-03-23T14:42:51.790744image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length21
Median length15
Mean length7.7878788
Min length2

Characters and Unicode

Total characters1285
Distinct characters200
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique165 ?
Unique (%)100.0%

Sample

1st row㈜홍제
2nd row동양레미콘(주)
3rd row중원산업(주)
4th row신안자동차공업사
5th row동안자동차공업사
ValueCountFrequency (%)
제2공장 3
 
1.7%
광양공장 3
 
1.7%
㈜에이프로젠메디신 2
 
1.1%
주)청해소재 2
 
1.1%
디에스알(주 2
 
1.1%
에스알씨㈜ 1
 
0.6%
주)섬진크린 1
 
0.6%
백운자동차정비 1
 
0.6%
주)대성철강 1
 
0.6%
㈜금홍기업 1
 
0.6%
Other values (162) 162
90.5%
2024-03-23T14:42:52.338999image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
) 92
 
7.2%
( 91
 
7.1%
주 85
 
6.6%
㈜ 44
 
3.4%
업 41
 
3.2%
광 37
 
2.9%
스 36
 
2.8%
양 35
 
2.7%
공 35
 
2.7%
이 34
 
2.6%
Other values (190) 755
58.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1026
79.8%
Close Punctuation 92
 
7.2%
Open Punctuation 91
 
7.1%
Other Symbol 44
 
3.4%
Space Separator 14
 
1.1%
Decimal Number 9
 
0.7%
Uppercase Letter 5
 
0.4%
Other Punctuation 3
 
0.2%
Dash Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 85
 
8.3%
업 41
 
4.0%
광 37
 
3.6%
스 36
 
3.5%
양 35
 
3.4%
공 35
 
3.4%
이 34
 
3.3%
에 25
 
2.4%
동 23
 
2.2%
사 23
 
2.2%
Other values (177) 652
63.5%
Uppercase Letter
ValueCountFrequency (%)
C 2
40.0%
O 1
20.0%
I 1
20.0%
N 1
20.0%
Decimal Number
ValueCountFrequency (%)
2 7
77.8%
1 1
 
11.1%
3 1
 
11.1%
Close Punctuation
ValueCountFrequency (%)
) 92
100.0%
Open Punctuation
ValueCountFrequency (%)
( 91
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 44
100.0%
Space Separator
ValueCountFrequency (%)
14
100.0%
Other Punctuation
ValueCountFrequency (%)
. 3
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1070
83.3%
Common 210
 
16.3%
Latin 5
 
0.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 85
 
7.9%
㈜ 44
 
4.1%
업 41
 
3.8%
광 37
 
3.5%
스 36
 
3.4%
양 35
 
3.3%
공 35
 
3.3%
이 34
 
3.2%
에 25
 
2.3%
동 23
 
2.1%
Other values (178) 675
63.1%
Common
ValueCountFrequency (%)
) 92
43.8%
( 91
43.3%
14
 
6.7%
2 7
 
3.3%
. 3
 
1.4%
- 1
 
0.5%
1 1
 
0.5%
3 1
 
0.5%
Latin
ValueCountFrequency (%)
C 2
40.0%
O 1
20.0%
I 1
20.0%
N 1
20.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1026
79.8%
ASCII 215
 
16.7%
None 44
 
3.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
) 92
42.8%
( 91
42.3%
14
 
6.5%
2 7
 
3.3%
. 3
 
1.4%
C 2
 
0.9%
- 1
 
0.5%
1 1
 
0.5%
O 1
 
0.5%
3 1
 
0.5%
Other values (2) 2
 
0.9%
Hangul
ValueCountFrequency (%)
주 85
 
8.3%
업 41
 
4.0%
광 37
 
3.6%
스 36
 
3.5%
양 35
 
3.4%
공 35
 
3.4%
이 34
 
3.3%
에 25
 
2.4%
동 23
 
2.2%
사 23
 
2.2%
Other values (177) 652
63.5%
None
ValueCountFrequency (%)
㈜ 44
100.0%

도로명소재지
Text

Distinct161
Distinct (%)97.6%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
2024-03-23T14:42:52.969774image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length43
Median length35
Mean length23.254545
Min length17

Characters and Unicode

Total characters3837
Distinct characters139
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique159 ?
Unique (%)96.4%

Sample

1st row전라남도 광양시 봉강면 매천로 633-15
2nd row전라남도 광양시 용장길 60 (성황동)
3rd row전라남도 광양시 광양읍 백운로 549-10
4th row전라남도 광양시 광양읍 해광로 884
5th row전라남도 광양시 옥곡면 신금산단1길 1 (1급동안자동차공업사)
ValueCountFrequency (%)
전라남도 165
19.2%
광양시 165
19.2%
광양읍 54
 
6.3%
옥곡면 28
 
3.3%
태인동 28
 
3.3%
제철로 17
 
2.0%
성황동 14
 
1.6%
금호동 13
 
1.5%
진월면 9
 
1.0%
백운로 8
 
0.9%
Other values (235) 359
41.7%
2024-03-23T14:42:53.950099image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
727
18.9%
광 229
 
6.0%
양 223
 
5.8%
남 188
 
4.9%
도 166
 
4.3%
시 166
 
4.3%
전 165
 
4.3%
라 165
 
4.3%
1 116
 
3.0%
2 93
 
2.4%
Other values (129) 1599
41.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2326
60.6%
Space Separator 727
 
18.9%
Decimal Number 581
 
15.1%
Open Punctuation 75
 
2.0%
Close Punctuation 75
 
2.0%
Dash Punctuation 48
 
1.3%
Uppercase Letter 5
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
광 229
 
9.8%
양 223
 
9.6%
남 188
 
8.1%
도 166
 
7.1%
시 166
 
7.1%
전 165
 
7.1%
라 165
 
7.1%
동 77
 
3.3%
길 75
 
3.2%
로 69
 
3.0%
Other values (111) 803
34.5%
Decimal Number
ValueCountFrequency (%)
1 116
20.0%
2 93
16.0%
3 71
12.2%
5 67
11.5%
4 50
8.6%
9 42
 
7.2%
6 41
 
7.1%
8 37
 
6.4%
0 35
 
6.0%
7 29
 
5.0%
Uppercase Letter
ValueCountFrequency (%)
O 2
40.0%
P 1
20.0%
S 1
20.0%
C 1
20.0%
Space Separator
ValueCountFrequency (%)
727
100.0%
Open Punctuation
ValueCountFrequency (%)
( 75
100.0%
Close Punctuation
ValueCountFrequency (%)
) 75
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 48
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2326
60.6%
Common 1506
39.2%
Latin 5
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
광 229
 
9.8%
양 223
 
9.6%
남 188
 
8.1%
도 166
 
7.1%
시 166
 
7.1%
전 165
 
7.1%
라 165
 
7.1%
동 77
 
3.3%
길 75
 
3.2%
로 69
 
3.0%
Other values (111) 803
34.5%
Common
ValueCountFrequency (%)
727
48.3%
1 116
 
7.7%
2 93
 
6.2%
( 75
 
5.0%
) 75
 
5.0%
3 71
 
4.7%
5 67
 
4.4%
4 50
 
3.3%
- 48
 
3.2%
9 42
 
2.8%
Other values (4) 142
 
9.4%
Latin
ValueCountFrequency (%)
O 2
40.0%
P 1
20.0%
S 1
20.0%
C 1
20.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2326
60.6%
ASCII 1511
39.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
727
48.1%
1 116
 
7.7%
2 93
 
6.2%
( 75
 
5.0%
) 75
 
5.0%
3 71
 
4.7%
5 67
 
4.4%
4 50
 
3.3%
- 48
 
3.2%
9 42
 
2.8%
Other values (8) 147
 
9.7%
Hangul
ValueCountFrequency (%)
광 229
 
9.8%
양 223
 
9.6%
남 188
 
8.1%
도 166
 
7.1%
시 166
 
7.1%
전 165
 
7.1%
라 165
 
7.1%
동 77
 
3.3%
길 75
 
3.2%
로 69
 
3.0%
Other values (111) 803
34.5%

전화번호
Text

Distinct142
Distinct (%)86.1%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
2024-03-23T14:42:54.461885image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length12.006061
Min length12

Characters and Unicode

Total characters1981
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique136 ?
Unique (%)82.4%

Sample

1st row061-761-2266
2nd row061-791-6670
3rd row061-762-0991
4th row061-763-7777
5th row061-772-6440
ValueCountFrequency (%)
061-000-0000 19
 
11.4%
061-797-8000 2
 
1.2%
061-772-5855 2
 
1.2%
061-772-6020 2
 
1.2%
061-762-8333 2
 
1.2%
061-792-3930 2
 
1.2%
061-761-1558 1
 
0.6%
070-8895-7991 1
 
0.6%
061-763-7618 1
 
0.6%
061-795-1952 1
 
0.6%
Other values (134) 134
80.2%
2024-03-23T14:42:55.856277image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 385
19.4%
- 328
16.6%
6 266
13.4%
1 243
12.3%
7 233
11.8%
2 138
 
7.0%
9 107
 
5.4%
5 82
 
4.1%
3 77
 
3.9%
8 69
 
3.5%
Other values (2) 53
 
2.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1651
83.3%
Dash Punctuation 328
 
16.6%
Space Separator 2
 
0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 385
23.3%
6 266
16.1%
1 243
14.7%
7 233
14.1%
2 138
 
8.4%
9 107
 
6.5%
5 82
 
5.0%
3 77
 
4.7%
8 69
 
4.2%
4 51
 
3.1%
Dash Punctuation
ValueCountFrequency (%)
- 328
100.0%
Space Separator
ValueCountFrequency (%)
2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1981
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 385
19.4%
- 328
16.6%
6 266
13.4%
1 243
12.3%
7 233
11.8%
2 138
 
7.0%
9 107
 
5.4%
5 82
 
4.1%
3 77
 
3.9%
8 69
 
3.5%
Other values (2) 53
 
2.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1981
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 385
19.4%
- 328
16.6%
6 266
13.4%
1 243
12.3%
7 233
11.8%
2 138
 
7.0%
9 107
 
5.4%
5 82
 
4.1%
3 77
 
3.9%
8 69
 
3.5%
Other values (2) 53
 
2.7%

대표업종
Text

Distinct96
Distinct (%)58.2%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
2024-03-23T14:42:56.285298image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length24
Median length20
Mean length11.363636
Min length3

Characters and Unicode

Total characters1875
Distinct characters147
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

Unique72 ?
Unique (%)43.6%

Sample

1st row곡물 도정업
2nd row레미콘 제조업
3rd row레미콘 제조업
4th row자동차 수리업
5th row자동차 종합 수리업
ValueCountFrequency (%)
제조업 70
 
13.5%
및 41
 
7.9%
기타 34
 
6.5%
자동차 27
 
5.2%
수리업 26
 
5.0%
폐기물 19
 
3.7%
처리업 18
 
3.5%
종합 12
 
2.3%
그외 11
 
2.1%
레미콘 8
 
1.5%
Other values (152) 254
48.8%
2024-03-23T14:42:57.107424image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
366
19.5%
업 154
 
8.2%
제 117
 
6.2%
조 85
 
4.5%
기 79
 
4.2%
리 60
 
3.2%
물 52
 
2.8%
및 44
 
2.3%
타 36
 
1.9%
차 35
 
1.9%
Other values (137) 847
45.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1503
80.2%
Space Separator 366
 
19.5%
Decimal Number 6
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
업 154
 
10.2%
제 117
 
7.8%
조 85
 
5.7%
기 79
 
5.3%
리 60
 
4.0%
물 52
 
3.5%
및 44
 
2.9%
타 36
 
2.4%
차 35
 
2.3%
금 34
 
2.3%
Other values (135) 807
53.7%
Space Separator
ValueCountFrequency (%)
366
100.0%
Decimal Number
ValueCountFrequency (%)
1 6
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1503
80.2%
Common 372
 
19.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
업 154
 
10.2%
제 117
 
7.8%
조 85
 
5.7%
기 79
 
5.3%
리 60
 
4.0%
물 52
 
3.5%
및 44
 
2.9%
타 36
 
2.4%
차 35
 
2.3%
금 34
 
2.3%
Other values (135) 807
53.7%
Common
ValueCountFrequency (%)
366
98.4%
1 6
 
1.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1503
80.2%
ASCII 372
 
19.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
366
98.4%
1 6
 
1.6%
Hangul
ValueCountFrequency (%)
업 154
 
10.2%
제 117
 
7.8%
조 85
 
5.7%
기 79
 
5.3%
리 60
 
4.0%
물 52
 
3.5%
및 44
 
2.9%
타 36
 
2.4%
차 35
 
2.3%
금 34
 
2.3%
Other values (135) 807
53.7%

데이터기준일
Date

CONSTANT 

Distinct1
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
Minimum2024-03-14 00:00:00
Maximum2024-03-14 00:00:00
2024-03-23T14:42:57.317458image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T14:42:57.485221image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Missing values

2024-03-23T14:42:51.332507image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-23T14:42:51.517795image/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

사업장명도로명소재지전화번호대표업종데이터기준일
0㈜홍제전라남도 광양시 봉강면 매천로 633-15061-761-2266곡물 도정업2024-03-14
1동양레미콘(주)전라남도 광양시 용장길 60 (성황동)061-791-6670레미콘 제조업2024-03-14
2중원산업(주)전라남도 광양시 광양읍 백운로 549-10061-762-0991레미콘 제조업2024-03-14
3신안자동차공업사전라남도 광양시 광양읍 해광로 884061-763-7777자동차 수리업2024-03-14
4동안자동차공업사전라남도 광양시 옥곡면 신금산단1길 1 (1급동안자동차공업사)061-772-6440자동차 종합 수리업2024-03-14
5(주)광양자동차공업사전라남도 광양시 강변로 93 (광영동)061-793-5900자동차 종합 수리업2024-03-14
6(주)성원전라남도 광양시 광양읍 초남공단2길 5061-797-1122강관 제조업2024-03-14
7제일자동차공업사전라남도 광양시 광양읍 순광로 379061-762-6807자동차 종합 수리업2024-03-14
8(유)메디컬자동차공업사전라남도 광양시 광양읍 주령길 7061-763-8170자동차 수리업2024-03-14
9백운기업전라남도 광양시 다압면 대밭1길 98061-772-5552비금속광물제품 제조업2024-03-14
사업장명도로명소재지전화번호대표업종데이터기준일
155㈜피앤오케미칼전라남도 광양시 태인1길 29 (태인동)061-793-2764기타 기초무기화학물질 제조업2024-03-14
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164주식회사 에스비전라남도 광양시 광양읍 직동1길 26061-762-1266비금속광물 분쇄물 생산업2024-03-14