Overview

Dataset statistics

Number of variables10
Number of observations63
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory5.1 KiB
Average record size in memory83.1 B

Variable types

Numeric1
Categorical6
Text2
DateTime1

Dataset

Description광주광역시 남구 관내의 사업장 폐기물 배출자 신고 현황 (폐기물구분, 상호명, 폐기물종류 등) 정보를 제공합니다. 더욱 자세한 정보는 해당 부서로 연락 부탁드립니다.
Author광주광역시 남구
URLhttps://www.data.go.kr/data/15060593/fileData.do

Alerts

폐기물구분 has constant value ""Constant
폐기물종류 has constant value ""Constant
운반자명 has constant value ""Constant
처리업소명 has constant value ""Constant
처리방법 has constant value ""Constant
신고기준년도 has constant value ""Constant
데이터기준일자 has constant value ""Constant
연번 has unique valuesUnique

Reproduction

Analysis started2023-12-12 00:09:24.998426
Analysis finished2023-12-12 00:09:25.803790
Duration0.81 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

UNIQUE 

Distinct63
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean32
Minimum1
Maximum63
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size699.0 B
2023-12-12T09:09:25.878485image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile4.1
Q116.5
median32
Q347.5
95-th percentile59.9
Maximum63
Range62
Interquartile range (IQR)31

Descriptive statistics

Standard deviation18.330303
Coefficient of variation (CV)0.57282196
Kurtosis-1.2
Mean32
Median Absolute Deviation (MAD)16
Skewness0
Sum2016
Variance336
MonotonicityStrictly increasing
2023-12-12T09:09:26.010164image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
1.6%
2 1
 
1.6%
35 1
 
1.6%
36 1
 
1.6%
37 1
 
1.6%
38 1
 
1.6%
39 1
 
1.6%
40 1
 
1.6%
41 1
 
1.6%
42 1
 
1.6%
Other values (53) 53
84.1%
ValueCountFrequency (%)
1 1
1.6%
2 1
1.6%
3 1
1.6%
4 1
1.6%
5 1
1.6%
6 1
1.6%
7 1
1.6%
8 1
1.6%
9 1
1.6%
10 1
1.6%
ValueCountFrequency (%)
63 1
1.6%
62 1
1.6%
61 1
1.6%
60 1
1.6%
59 1
1.6%
58 1
1.6%
57 1
1.6%
56 1
1.6%
55 1
1.6%
54 1
1.6%

폐기물구분
Categorical

CONSTANT 

Distinct1
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Memory size636.0 B
사업장폐기물
63 

Length

Max length6
Median length6
Mean length6
Min length6

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
사업장폐기물 63
100.0%

Length

2023-12-12T09:09:26.135045image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T09:09:26.237164image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
사업장폐기물 63
100.0%

상호명
Text

Distinct61
Distinct (%)96.8%
Missing0
Missing (%)0.0%
Memory size636.0 B
2023-12-12T09:09:26.450831image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length15
Mean length10.126984
Min length4

Characters and Unicode

Total characters638
Distinct characters162
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

Unique59 ?
Unique (%)93.7%

Sample

1st row금호산업(주)정비공장
2nd row(주)일광산업
3rd row한국지엠(주)광주서비스센터
4th row광주순복음교회
5th row금호고속(주)정비공장
ValueCountFrequency (%)
주)일광산업 2
 
2.8%
주)성주환경 2
 
2.8%
서진여자고등학교 1
 
1.4%
설월여자고등학교 1
 
1.4%
쌍용자동차광주사업소(주 1
 
1.4%
광주환경공단(효천하수처리장 1
 
1.4%
에스웰요양병원 1
 
1.4%
광주씨티병원 1
 
1.4%
씨티재활의학과요양병원 1
 
1.4%
재)광주복지재단 1
 
1.4%
Other values (60) 60
83.3%
2023-12-12T09:09:26.888208image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 47
 
7.4%
광 32
 
5.0%
( 28
 
4.4%
) 28
 
4.4%
원 27
 
4.2%
병 19
 
3.0%
학 18
 
2.8%
교 15
 
2.4%
고 11
 
1.7%
대 10
 
1.6%
Other values (152) 403
63.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 567
88.9%
Open Punctuation 28
 
4.4%
Close Punctuation 28
 
4.4%
Space Separator 9
 
1.4%
Uppercase Letter 3
 
0.5%
Decimal Number 2
 
0.3%
Connector Punctuation 1
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 47
 
8.3%
광 32
 
5.6%
원 27
 
4.8%
병 19
 
3.4%
학 18
 
3.2%
교 15
 
2.6%
고 11
 
1.9%
대 10
 
1.8%
양 10
 
1.8%
장 10
 
1.8%
Other values (144) 368
64.9%
Uppercase Letter
ValueCountFrequency (%)
C 1
33.3%
B 1
33.3%
K 1
33.3%
Open Punctuation
ValueCountFrequency (%)
( 28
100.0%
Close Punctuation
ValueCountFrequency (%)
) 28
100.0%
Space Separator
ValueCountFrequency (%)
9
100.0%
Decimal Number
ValueCountFrequency (%)
2 2
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 567
88.9%
Common 68
 
10.7%
Latin 3
 
0.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 47
 
8.3%
광 32
 
5.6%
원 27
 
4.8%
병 19
 
3.4%
학 18
 
3.2%
교 15
 
2.6%
고 11
 
1.9%
대 10
 
1.8%
양 10
 
1.8%
장 10
 
1.8%
Other values (144) 368
64.9%
Common
ValueCountFrequency (%)
( 28
41.2%
) 28
41.2%
9
 
13.2%
2 2
 
2.9%
_ 1
 
1.5%
Latin
ValueCountFrequency (%)
C 1
33.3%
B 1
33.3%
K 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 567
88.9%
ASCII 71
 
11.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 47
 
8.3%
광 32
 
5.6%
원 27
 
4.8%
병 19
 
3.4%
학 18
 
3.2%
교 15
 
2.6%
고 11
 
1.9%
대 10
 
1.8%
양 10
 
1.8%
장 10
 
1.8%
Other values (144) 368
64.9%
ASCII
ValueCountFrequency (%)
( 28
39.4%
) 28
39.4%
9
 
12.7%
2 2
 
2.8%
C 1
 
1.4%
B 1
 
1.4%
K 1
 
1.4%
_ 1
 
1.4%

폐기물종류
Categorical

CONSTANT 

Distinct1
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Memory size636.0 B
사업장폐기물
63 

Length

Max length6
Median length6
Mean length6
Min length6

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
사업장폐기물 63
100.0%

Length

2023-12-12T09:09:27.031387image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T09:09:27.127897image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
사업장폐기물 63
100.0%

운반자명
Categorical

CONSTANT 

Distinct1
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Memory size636.0 B
공개불가
63 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
공개불가 63
100.0%

Length

2023-12-12T09:09:27.259886image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T09:09:27.360794image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
공개불가 63
100.0%

처리업소명
Categorical

CONSTANT 

Distinct1
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Memory size636.0 B
공개불가
63 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
공개불가 63
100.0%

Length

2023-12-12T09:09:27.492988image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T09:09:27.613104image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
공개불가 63
100.0%

처리방법
Categorical

CONSTANT 

Distinct1
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Memory size636.0 B
위탁처리
63 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
위탁처리 63
100.0%

Length

2023-12-12T09:09:27.751161image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T09:09:27.877129image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
위탁처리 63
100.0%

사업장도로명주소
Text

Distinct60
Distinct (%)95.2%
Missing0
Missing (%)0.0%
Memory size636.0 B
2023-12-12T09:09:28.185726image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length35
Median length30
Mean length24.349206
Min length20

Characters and Unicode

Total characters1534
Distinct characters95
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

Unique57 ?
Unique (%)90.5%

Sample

1st row광주광역시 남구 구동 251-3번지
2nd row광주광역시 남구 송암로24번길 20 (송하동)
3rd row광주광역시 남구 송암로24번길 62 (송하동)
4th row광주광역시 남구 옹정길 29 (주월동)
5th row광주광역시 남구 송암로 78 (송하동)
ValueCountFrequency (%)
광주광역시 63
19.7%
남구 63
19.7%
송하동 17
 
5.3%
주월동 9
 
2.8%
송암로 5
 
1.6%
양과동 5
 
1.6%
73 4
 
1.2%
12 4
 
1.2%
방림동 4
 
1.2%
봉선동 4
 
1.2%
Other values (99) 142
44.4%
2023-12-12T09:09:28.765144image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
262
17.1%
광 129
 
8.4%
남 77
 
5.0%
주 75
 
4.9%
구 65
 
4.2%
동 65
 
4.2%
시 64
 
4.2%
역 63
 
4.1%
) 60
 
3.9%
( 60
 
3.9%
Other values (85) 614
40.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 922
60.1%
Space Separator 262
 
17.1%
Decimal Number 211
 
13.8%
Close Punctuation 60
 
3.9%
Open Punctuation 60
 
3.9%
Dash Punctuation 11
 
0.7%
Connector Punctuation 8
 
0.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
광 129
14.0%
남 77
 
8.4%
주 75
 
8.1%
구 65
 
7.0%
동 65
 
7.0%
시 64
 
6.9%
역 63
 
6.8%
로 50
 
5.4%
송 30
 
3.3%
길 27
 
2.9%
Other values (70) 277
30.0%
Decimal Number
ValueCountFrequency (%)
1 35
16.6%
2 31
14.7%
7 25
11.8%
3 24
11.4%
4 23
10.9%
0 20
9.5%
6 18
8.5%
5 12
 
5.7%
9 12
 
5.7%
8 11
 
5.2%
Space Separator
ValueCountFrequency (%)
262
100.0%
Close Punctuation
ValueCountFrequency (%)
) 60
100.0%
Open Punctuation
ValueCountFrequency (%)
( 60
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 11
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 8
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 922
60.1%
Common 612
39.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
광 129
14.0%
남 77
 
8.4%
주 75
 
8.1%
구 65
 
7.0%
동 65
 
7.0%
시 64
 
6.9%
역 63
 
6.8%
로 50
 
5.4%
송 30
 
3.3%
길 27
 
2.9%
Other values (70) 277
30.0%
Common
ValueCountFrequency (%)
262
42.8%
) 60
 
9.8%
( 60
 
9.8%
1 35
 
5.7%
2 31
 
5.1%
7 25
 
4.1%
3 24
 
3.9%
4 23
 
3.8%
0 20
 
3.3%
6 18
 
2.9%
Other values (5) 54
 
8.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 922
60.1%
ASCII 612
39.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
262
42.8%
) 60
 
9.8%
( 60
 
9.8%
1 35
 
5.7%
2 31
 
5.1%
7 25
 
4.1%
3 24
 
3.9%
4 23
 
3.8%
0 20
 
3.3%
6 18
 
2.9%
Other values (5) 54
 
8.8%
Hangul
ValueCountFrequency (%)
광 129
14.0%
남 77
 
8.4%
주 75
 
8.1%
구 65
 
7.0%
동 65
 
7.0%
시 64
 
6.9%
역 63
 
6.8%
로 50
 
5.4%
송 30
 
3.3%
길 27
 
2.9%
Other values (70) 277
30.0%

신고기준년도
Categorical

CONSTANT 

Distinct1
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Memory size636.0 B
공개불가
63 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
공개불가 63
100.0%

Length

2023-12-12T09:09:28.953829image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T09:09:29.108174image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
공개불가 63
100.0%

데이터기준일자
Date

CONSTANT 

Distinct1
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Memory size636.0 B
Minimum2021-06-01 00:00:00
Maximum2021-06-01 00:00:00
2023-12-12T09:09:29.217597image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T09:09:29.329058image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Interactions

2023-12-12T09:09:25.472302image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T09:09:29.414207image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번상호명사업장도로명주소
연번1.0000.9690.811
상호명0.9691.0000.980
사업장도로명주소0.8110.9801.000

Missing values

2023-12-12T09:09:25.607627image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T09:09:25.748030image/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

연번폐기물구분상호명폐기물종류운반자명처리업소명처리방법사업장도로명주소신고기준년도데이터기준일자
01사업장폐기물금호산업(주)정비공장사업장폐기물공개불가공개불가위탁처리광주광역시 남구 구동 251-3번지공개불가2021-06-01
12사업장폐기물(주)일광산업사업장폐기물공개불가공개불가위탁처리광주광역시 남구 송암로24번길 20 (송하동)공개불가2021-06-01
23사업장폐기물한국지엠(주)광주서비스센터사업장폐기물공개불가공개불가위탁처리광주광역시 남구 송암로24번길 62 (송하동)공개불가2021-06-01
34사업장폐기물광주순복음교회사업장폐기물공개불가공개불가위탁처리광주광역시 남구 옹정길 29 (주월동)공개불가2021-06-01
45사업장폐기물금호고속(주)정비공장사업장폐기물공개불가공개불가위탁처리광주광역시 남구 송암로 78 (송하동)공개불가2021-06-01
56사업장폐기물(주)일광산업사업장폐기물공개불가공개불가위탁처리광주광역시 남구 송암로24번길 20 (송하동)공개불가2021-06-01
67사업장폐기물광주환경공단(광역위생매립장)사업장폐기물공개불가공개불가위탁처리광주광역시 남구 도동길 160 (양과동)공개불가2021-06-01
78사업장폐기물광주환경공단제2하수처리장(송암펌프장)사업장폐기물공개불가공개불가위탁처리광주광역시 남구 송암로 9-12 (송하동)공개불가2021-06-01
89사업장폐기물광주광역시상수도사업본부덕남정수사업소사업장폐기물공개불가공개불가위탁처리광주광역시 남구 덕남1길 27 (덕남동)공개불가2021-06-01
910사업장폐기물현대자동차(주)광주서비스센터사업장폐기물공개불가공개불가위탁처리광주광역시 남구 송암로76번길 31 (송하동)공개불가2021-06-01
연번폐기물구분상호명폐기물종류운반자명처리업소명처리방법사업장도로명주소신고기준년도데이터기준일자
5354사업장폐기물청정빛고을(주)사업장폐기물공개불가공개불가위탁처리광주광역시 남구 도동길 160 (양과동_ 위생매립장내)공개불가2021-06-01
5455사업장폐기물백운요양병원사업장폐기물공개불가공개불가위탁처리광주광역시 남구 독립로 8 (백운동)공개불가2021-06-01
5556사업장폐기물호남신학대학교사업장폐기물공개불가공개불가위탁처리광주광역시 남구 제중로 77 (양림동)공개불가2021-06-01
5657사업장폐기물한국수자원공사 영산강보관리단사업장폐기물공개불가공개불가위탁처리광주광역시 남구 승촌보길 90 (승촌동)공개불가2021-06-01
5758사업장폐기물광주광역시도시공사사업장폐기물공개불가공개불가위탁처리광주광역시 남구 효우로 153 (노대동)공개불가2021-06-01
5859사업장폐기물숭의과학기술고등학교사업장폐기물공개불가공개불가위탁처리광주광역시 남구 오방로 34-13 (방림동)공개불가2021-06-01
5960사업장폐기물의료법인 상원의료재단 광주조아요양병원사업장폐기물공개불가공개불가위탁처리광주광역시 남구 중앙로 130-6_ 광주조아요양병원 (구동)공개불가2021-06-01
6061사업장폐기물대한요양병원사업장폐기물공개불가공개불가위탁처리광주광역시 남구 서문대로 758 (주월동)공개불가2021-06-01
6162사업장폐기물빅스포(주)사업장폐기물공개불가공개불가위탁처리광주광역시 남구 서문대로 745 (주월동)공개불가2021-06-01
6263사업장폐기물소망의료재단 남광주병원사업장폐기물공개불가공개불가위탁처리광주광역시 남구 독립로54번길 26 (백운동)공개불가2021-06-01