Overview

Dataset statistics

Number of variables5
Number of observations31
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.3 KiB
Average record size in memory44.3 B

Variable types

Text2
DateTime1
Categorical2

Dataset

Description대전광역시 서구 건설폐기물처리업의 업소명, 주소, 허가일자, 영업상태 정보 (건설현장에서 나오는 건축폐기물을 수집·운반 및 중간처리하는 업소정보)
URLhttps://www.data.go.kr/data/15062036/fileData.do

Alerts

상태 has constant value ""Constant
기준일자 has constant value ""Constant
업소명 has unique valuesUnique

Reproduction

Analysis started2023-12-12 10:45:25.409803
Analysis finished2023-12-12 10:45:25.735275
Duration0.33 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

업소명
Text

UNIQUE 

Distinct31
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size380.0 B
2023-12-12T19:45:25.868787image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length10
Median length9
Mean length5.8387097
Min length3

Characters and Unicode

Total characters181
Distinct characters71
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique31 ?
Unique (%)100.0%

Sample

1st row일원산업㈜
2nd row(자)국제환경
3rd row팔공환경운수㈜
4th row㈜서부골재환경
5th row협회환경㈜
ValueCountFrequency (%)
일원산업㈜ 1
 
3.1%
자)국제환경 1
 
3.1%
㈜덕강 1
 
3.1%
태양인력 1
 
3.1%
태양산업 1
 
3.1%
㈜이룸 1
 
3.1%
푸른자원 1
 
3.1%
해성기업 1
 
3.1%
부산환경개발 1
 
3.1%
한강건설㈜ 1
 
3.1%
Other values (22) 22
68.8%
2023-12-12T19:45:26.192060image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
㈜ 17
 
9.4%
환 17
 
9.4%
경 17
 
9.4%
산 15
 
8.3%
업 15
 
8.3%
개 4
 
2.2%
원 4
 
2.2%
대 4
 
2.2%
자 3
 
1.7%
재 3
 
1.7%
Other values (61) 82
45.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 158
87.3%
Other Symbol 17
 
9.4%
Open Punctuation 2
 
1.1%
Close Punctuation 2
 
1.1%
Other Punctuation 1
 
0.6%
Space Separator 1
 
0.6%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
환 17
 
10.8%
경 17
 
10.8%
산 15
 
9.5%
업 15
 
9.5%
개 4
 
2.5%
원 4
 
2.5%
대 4
 
2.5%
자 3
 
1.9%
재 3
 
1.9%
별 2
 
1.3%
Other values (56) 74
46.8%
Other Symbol
ValueCountFrequency (%)
㈜ 17
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%
Other Punctuation
ValueCountFrequency (%)
, 1
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 175
96.7%
Common 6
 
3.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
㈜ 17
 
9.7%
환 17
 
9.7%
경 17
 
9.7%
산 15
 
8.6%
업 15
 
8.6%
개 4
 
2.3%
원 4
 
2.3%
대 4
 
2.3%
자 3
 
1.7%
재 3
 
1.7%
Other values (57) 76
43.4%
Common
ValueCountFrequency (%)
( 2
33.3%
) 2
33.3%
, 1
16.7%
1
16.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 158
87.3%
None 17
 
9.4%
ASCII 6
 
3.3%

Most frequent character per block

None
ValueCountFrequency (%)
㈜ 17
100.0%
Hangul
ValueCountFrequency (%)
환 17
 
10.8%
경 17
 
10.8%
산 15
 
9.5%
업 15
 
9.5%
개 4
 
2.5%
원 4
 
2.5%
대 4
 
2.5%
자 3
 
1.9%
재 3
 
1.9%
별 2
 
1.3%
Other values (56) 74
46.8%
ASCII
ValueCountFrequency (%)
( 2
33.3%
) 2
33.3%
, 1
16.7%
1
16.7%

주소
Text

Distinct30
Distinct (%)96.8%
Missing0
Missing (%)0.0%
Memory size380.0 B
2023-12-12T19:45:26.460541image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length48
Median length32
Mean length30.258065
Min length19

Characters and Unicode

Total characters938
Distinct characters92
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

Unique29 ?
Unique (%)93.5%

Sample

1st row대전광역시 서구 동서대로 1144-12, 2층 (변동)
2nd row대전광역시 서구 월평새뜸로4번길 51, 103호 (월평동)
3rd row대전광역시 서구 가수원로 5, 10동 202호 (가수원동,은아A5단지상가)
4th row대전광역시 서구 유등로 353(변동)
5th row대전광역시 서구 유등로 353 (변동)
ValueCountFrequency (%)
대전광역시 31
 
17.2%
서구 31
 
17.2%
월평동 4
 
2.2%
변동 4
 
2.2%
51 3
 
1.7%
25 3
 
1.7%
갈마동 3
 
1.7%
202호 3
 
1.7%
103호 2
 
1.1%
도안동 2
 
1.1%
Other values (86) 94
52.2%
2023-12-12T19:45:26.960130image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
151
 
16.1%
1 44
 
4.7%
동 38
 
4.1%
대 36
 
3.8%
서 32
 
3.4%
구 32
 
3.4%
광 31
 
3.3%
역 31
 
3.3%
시 31
 
3.3%
전 31
 
3.3%
Other values (82) 481
51.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 504
53.7%
Decimal Number 185
 
19.7%
Space Separator 151
 
16.1%
Close Punctuation 30
 
3.2%
Open Punctuation 30
 
3.2%
Other Punctuation 29
 
3.1%
Dash Punctuation 7
 
0.7%
Uppercase Letter 2
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 38
 
7.5%
대 36
 
7.1%
서 32
 
6.3%
구 32
 
6.3%
광 31
 
6.2%
역 31
 
6.2%
시 31
 
6.2%
전 31
 
6.2%
로 28
 
5.6%
길 16
 
3.2%
Other values (65) 198
39.3%
Decimal Number
ValueCountFrequency (%)
1 44
23.8%
3 27
14.6%
2 24
13.0%
5 22
11.9%
0 19
10.3%
4 13
 
7.0%
7 13
 
7.0%
8 10
 
5.4%
6 8
 
4.3%
9 5
 
2.7%
Uppercase Letter
ValueCountFrequency (%)
B 1
50.0%
A 1
50.0%
Space Separator
ValueCountFrequency (%)
151
100.0%
Close Punctuation
ValueCountFrequency (%)
) 30
100.0%
Open Punctuation
ValueCountFrequency (%)
( 30
100.0%
Other Punctuation
ValueCountFrequency (%)
, 29
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 7
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 504
53.7%
Common 432
46.1%
Latin 2
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 38
 
7.5%
대 36
 
7.1%
서 32
 
6.3%
구 32
 
6.3%
광 31
 
6.2%
역 31
 
6.2%
시 31
 
6.2%
전 31
 
6.2%
로 28
 
5.6%
길 16
 
3.2%
Other values (65) 198
39.3%
Common
ValueCountFrequency (%)
151
35.0%
1 44
 
10.2%
) 30
 
6.9%
( 30
 
6.9%
, 29
 
6.7%
3 27
 
6.2%
2 24
 
5.6%
5 22
 
5.1%
0 19
 
4.4%
4 13
 
3.0%
Other values (5) 43
 
10.0%
Latin
ValueCountFrequency (%)
B 1
50.0%
A 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 504
53.7%
ASCII 434
46.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
151
34.8%
1 44
 
10.1%
) 30
 
6.9%
( 30
 
6.9%
, 29
 
6.7%
3 27
 
6.2%
2 24
 
5.5%
5 22
 
5.1%
0 19
 
4.4%
4 13
 
3.0%
Other values (7) 45
 
10.4%
Hangul
ValueCountFrequency (%)
동 38
 
7.5%
대 36
 
7.1%
서 32
 
6.3%
구 32
 
6.3%
광 31
 
6.2%
역 31
 
6.2%
시 31
 
6.2%
전 31
 
6.2%
로 28
 
5.6%
길 16
 
3.2%
Other values (65) 198
39.3%

허가일
Date

Distinct29
Distinct (%)93.5%
Missing0
Missing (%)0.0%
Memory size380.0 B
Minimum1996-09-20 00:00:00
Maximum2022-08-29 00:00:00
2023-12-12T19:45:27.125572image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T19:45:27.280389image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=29)

상태
Categorical

CONSTANT 

Distinct1
Distinct (%)3.2%
Missing0
Missing (%)0.0%
Memory size380.0 B
영업/정상
31 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row영업/정상
2nd row영업/정상
3rd row영업/정상
4th row영업/정상
5th row영업/정상

Common Values

ValueCountFrequency (%)
영업/정상 31
100.0%

Length

2023-12-12T19:45:27.481365image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T19:45:27.639086image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 31
100.0%

기준일자
Categorical

CONSTANT 

Distinct1
Distinct (%)3.2%
Missing0
Missing (%)0.0%
Memory size380.0 B
2023-06-22
31 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2023-06-22
2nd row2023-06-22
3rd row2023-06-22
4th row2023-06-22
5th row2023-06-22

Common Values

ValueCountFrequency (%)
2023-06-22 31
100.0%

Length

2023-12-12T19:45:27.804557image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T19:45:27.937669image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2023-06-22 31
100.0%

Correlations

2023-12-12T19:45:28.003599image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
업소명주소허가일
업소명1.0001.0001.000
주소1.0001.0000.972
허가일1.0000.9721.000

Missing values

2023-12-12T19:45:25.609674image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T19:45:25.702181image/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

업소명주소허가일상태기준일자
0일원산업㈜대전광역시 서구 동서대로 1144-12, 2층 (변동)1996-09-20영업/정상2023-06-22
1(자)국제환경대전광역시 서구 월평새뜸로4번길 51, 103호 (월평동)1997-01-03영업/정상2023-06-22
2팔공환경운수㈜대전광역시 서구 가수원로 5, 10동 202호 (가수원동,은아A5단지상가)1999-11-02영업/정상2023-06-22
3㈜서부골재환경대전광역시 서구 유등로 353(변동)1999-11-16영업/정상2023-06-22
4협회환경㈜대전광역시 서구 유등로 353 (변동)2001-02-16영업/정상2023-06-22
5㈜명진골재환경대전광역시 서구 월드컵대로484번길 82-85(월평동)2001-04-09영업/정상2023-06-22
6대지환경산업㈜대전광역시 서구 정림로 71, 501호(정림동,대지빌딩)2001-09-20영업/정상2023-06-22
7개별환경화물대전광역시 서구 계룡로 367, 2층 (갈마동)2002-11-12영업/정상2023-06-22
8㈜일성산업대전광역시 서구 반송길 88(우명동)2004-06-01영업/정상2023-06-22
9하늘산업개발㈜대전광역시 서구 월평새뜸로4번길 51, 103호 (월평동)2012-09-04영업/정상2023-06-22
업소명주소허가일상태기준일자
21구봉산업대전광역시 서구 관저로 51, 503동 1503호 (관저동, 구봉마을)2019-10-04영업/정상2023-06-22
22썬퍼니산업환경대전광역시 서구 괴곡1길 55(괴곡동)2019-10-15영업/정상2023-06-22
23한강건설㈜대전광역시 서구 계룡로326번길 131 (갈마동)2020-03-12영업/정상2023-06-22
24부산환경개발대전광역시 서구 계룡로536번길 9, 105동 501호 (괴정동, 한신아파트)2020-06-26영업/정상2023-06-22
25해성기업대전광역시 서구 도산로 156, 1층 (도마동)2020-11-06영업/정상2023-06-22
26푸른자원대전광역시 서구 계룡로232번길 173-7 (월평동)2021-01-13영업/정상2023-06-22
27㈜이룸대전광역시 서구 도안북로93번길 20-5, 4층 (도안동)2021-08-20영업/정상2023-06-22
28태양산업, 태양인력대전광역시 서구 도산로 178 (변동 49-9)2022-05-12영업/정상2023-06-22
29㈜덕강대전광역시 서구 도솔로 25, 3층2022-05-12영업/정상2023-06-22
30대신건설산업㈜대전광역시 서구 도안대로11번길 25, 103호(가수원동, 럭키프라자)2022-08-29영업/정상2023-06-22