Overview

Dataset statistics

Number of variables6
Number of observations487
Missing cells0
Missing cells (%)0.0%
Duplicate rows19
Duplicate rows (%)3.9%
Total size in memory23.0 KiB
Average record size in memory48.3 B

Variable types

Categorical3
Text2
DateTime1

Dataset

Description광주광역시 폐기물처리업체 현황에 대한 데이터로 자치구별 폐기물처리업 및 처리업체 구분, 소재지 등의 항목을 제공합니다.
Author광주광역시
URLhttps://www.data.go.kr/data/15117894/fileData.do

Alerts

시도 has constant value ""Constant
데이터기준일자 has constant value ""Constant
Dataset has 19 (3.9%) duplicate rowsDuplicates

Reproduction

Analysis started2024-04-17 21:35:02.779311
Analysis finished2024-04-17 21:35:03.491055
Duration0.71 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

시도
Categorical

CONSTANT 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size3.9 KiB
광주광역시
487 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
광주광역시 487
100.0%

Length

2024-04-18T06:35:03.542775image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T06:35:03.618082image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
광주광역시 487
100.0%

시군구
Categorical

Distinct5
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size3.9 KiB
광산구
274 
북구
106 
서구
62 
남구
36 
동구
 
9

Length

Max length3
Median length3
Mean length2.5626283
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row동구
2nd row동구
3rd row동구
4th row동구
5th row서구

Common Values

ValueCountFrequency (%)
광산구 274
56.3%
북구 106
 
21.8%
서구 62
 
12.7%
남구 36
 
7.4%
동구 9
 
1.8%

Length

2024-04-18T06:35:03.704654image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T06:35:03.789319image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
광산구 274
56.3%
북구 106
 
21.8%
서구 62
 
12.7%
남구 36
 
7.4%
동구 9
 
1.8%

구분
Categorical

Distinct8
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Memory size3.9 KiB
폐기물처리 신고 사업장
155 
폐기물 수집운반
133 
건설폐기물 수집·운반
113 
종합재활용업
37 
중간재활용업
36 
Other values (3)
 
13

Length

Max length12
Median length11
Mean length9.6324435
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row폐기물 수집운반
2nd row폐기물 수집운반
3rd row폐기물 수집운반
4th row폐기물 수집운반
5th row폐기물 수집운반

Common Values

ValueCountFrequency (%)
폐기물처리 신고 사업장 155
31.8%
폐기물 수집운반 133
27.3%
건설폐기물 수집·운반 113
23.2%
종합재활용업 37
 
7.6%
중간재활용업 36
 
7.4%
중간처분 6
 
1.2%
건설폐기물 중간처리 5
 
1.0%
최종재활용업 2
 
0.4%

Length

2024-04-18T06:35:03.889063image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T06:35:03.990465image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐기물처리 155
14.8%
신고 155
14.8%
사업장 155
14.8%
폐기물 133
12.7%
수집운반 133
12.7%
건설폐기물 118
11.3%
수집·운반 113
10.8%
종합재활용업 37
 
3.5%
중간재활용업 36
 
3.4%
중간처분 6
 
0.6%
Other values (2) 7
 
0.7%

업 체 명
Text

Distinct414
Distinct (%)85.0%
Missing0
Missing (%)0.0%
Memory size3.9 KiB
2024-04-18T06:35:04.208429image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length41
Median length19
Mean length6.1211499
Min length2

Characters and Unicode

Total characters2981
Distinct characters288
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique357 ?
Unique (%)73.3%

Sample

1st row(합)광주미화
2nd row무경지엔씨㈜
3rd row조선환경㈜
4th row대한운수㈜
5th row(주)광산환경
ValueCountFrequency (%)
개인 5
 
1.0%
주식회사 4
 
0.8%
㈜빛고을환경 3
 
0.6%
국토환경㈜ 3
 
0.6%
자연환경(유 3
 
0.6%
㈜무진환경기술 3
 
0.6%
㈜청마 3
 
0.6%
대림환경 3
 
0.6%
㈜중경 3
 
0.6%
대보자원 3
 
0.6%
Other values (417) 474
93.5%
2024-04-18T06:35:04.575030image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
㈜ 175
 
5.9%
경 172
 
5.8%
환 163
 
5.5%
( 99
 
3.3%
) 99
 
3.3%
산 91
 
3.1%
업 81
 
2.7%
주 77
 
2.6%
자 77
 
2.6%
원 76
 
2.5%
Other values (278) 1871
62.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2555
85.7%
Other Symbol 175
 
5.9%
Open Punctuation 99
 
3.3%
Close Punctuation 99
 
3.3%
Space Separator 21
 
0.7%
Uppercase Letter 14
 
0.5%
Other Punctuation 10
 
0.3%
Decimal Number 8
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
경 172
 
6.7%
환 163
 
6.4%
산 91
 
3.6%
업 81
 
3.2%
주 77
 
3.0%
자 77
 
3.0%
원 76
 
3.0%
유 71
 
2.8%
지 62
 
2.4%
광 61
 
2.4%
Other values (255) 1624
63.6%
Uppercase Letter
ValueCountFrequency (%)
C 3
21.4%
K 3
21.4%
O 1
 
7.1%
T 1
 
7.1%
E 1
 
7.1%
P 1
 
7.1%
N 1
 
7.1%
G 1
 
7.1%
S 1
 
7.1%
J 1
 
7.1%
Decimal Number
ValueCountFrequency (%)
3 2
25.0%
6 2
25.0%
2 1
12.5%
4 1
12.5%
1 1
12.5%
7 1
12.5%
Other Punctuation
ValueCountFrequency (%)
. 8
80.0%
, 1
 
10.0%
& 1
 
10.0%
Other Symbol
ValueCountFrequency (%)
㈜ 175
100.0%
Open Punctuation
ValueCountFrequency (%)
( 99
100.0%
Close Punctuation
ValueCountFrequency (%)
) 99
100.0%
Space Separator
ValueCountFrequency (%)
21
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2730
91.6%
Common 237
 
8.0%
Latin 14
 
0.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
㈜ 175
 
6.4%
경 172
 
6.3%
환 163
 
6.0%
산 91
 
3.3%
업 81
 
3.0%
주 77
 
2.8%
자 77
 
2.8%
원 76
 
2.8%
유 71
 
2.6%
지 62
 
2.3%
Other values (256) 1685
61.7%
Common
ValueCountFrequency (%)
( 99
41.8%
) 99
41.8%
21
 
8.9%
. 8
 
3.4%
3 2
 
0.8%
6 2
 
0.8%
, 1
 
0.4%
2 1
 
0.4%
4 1
 
0.4%
1 1
 
0.4%
Other values (2) 2
 
0.8%
Latin
ValueCountFrequency (%)
C 3
21.4%
K 3
21.4%
O 1
 
7.1%
T 1
 
7.1%
E 1
 
7.1%
P 1
 
7.1%
N 1
 
7.1%
G 1
 
7.1%
S 1
 
7.1%
J 1
 
7.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2555
85.7%
ASCII 251
 
8.4%
None 175
 
5.9%

Most frequent character per block

None
ValueCountFrequency (%)
㈜ 175
100.0%
Hangul
ValueCountFrequency (%)
경 172
 
6.7%
환 163
 
6.4%
산 91
 
3.6%
업 81
 
3.2%
주 77
 
3.0%
자 77
 
3.0%
원 76
 
3.0%
유 71
 
2.8%
지 62
 
2.4%
광 61
 
2.4%
Other values (255) 1624
63.6%
ASCII
ValueCountFrequency (%)
( 99
39.4%
) 99
39.4%
21
 
8.4%
. 8
 
3.2%
C 3
 
1.2%
K 3
 
1.2%
3 2
 
0.8%
6 2
 
0.8%
, 1
 
0.4%
2 1
 
0.4%
Other values (12) 12
 
4.8%

소재지
Text

Distinct401
Distinct (%)82.3%
Missing0
Missing (%)0.0%
Memory size3.9 KiB
2024-04-18T06:35:04.771528image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length33
Median length27
Mean length17.864476
Min length9

Characters and Unicode

Total characters8700
Distinct characters186
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

Unique331 ?
Unique (%)68.0%

Sample

1st row동구 남문로 285(내남동)
2nd row동구 남문로 686(학동)
3rd row동구 필문대로 135, 3층(산수동)
4th row동구 중앙로 313, 101호 (계림동)
5th row서구 무진대로 468 (덕흥동)
ValueCountFrequency (%)
광산구 274
 
17.1%
북구 105
 
6.6%
서구 62
 
3.9%
남구 36
 
2.2%
사암로 21
 
1.3%
평동산단외로 19
 
1.2%
북문대로 18
 
1.1%
도천남길 18
 
1.1%
광주광역시 11
 
0.7%
하남대로 11
 
0.7%
Other values (667) 1026
64.1%
2024-04-18T06:35:05.081128image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1117
 
12.8%
동 512
 
5.9%
구 488
 
5.6%
산 390
 
4.5%
로 381
 
4.4%
) 370
 
4.3%
( 370
 
4.3%
1 355
 
4.1%
광 303
 
3.5%
2 289
 
3.3%
Other values (176) 4125
47.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 4646
53.4%
Decimal Number 1957
22.5%
Space Separator 1117
 
12.8%
Close Punctuation 370
 
4.3%
Open Punctuation 370
 
4.3%
Dash Punctuation 176
 
2.0%
Other Punctuation 63
 
0.7%
Uppercase Letter 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 512
 
11.0%
구 488
 
10.5%
산 390
 
8.4%
로 381
 
8.2%
광 303
 
6.5%
길 216
 
4.6%
번 140
 
3.0%
북 136
 
2.9%
남 115
 
2.5%
대 103
 
2.2%
Other values (160) 1862
40.1%
Decimal Number
ValueCountFrequency (%)
1 355
18.1%
2 289
14.8%
3 260
13.3%
0 169
8.6%
5 167
8.5%
4 164
8.4%
6 161
8.2%
7 139
 
7.1%
8 127
 
6.5%
9 126
 
6.4%
Space Separator
ValueCountFrequency (%)
1117
100.0%
Close Punctuation
ValueCountFrequency (%)
) 370
100.0%
Open Punctuation
ValueCountFrequency (%)
( 370
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 176
100.0%
Other Punctuation
ValueCountFrequency (%)
, 63
100.0%
Uppercase Letter
ValueCountFrequency (%)
F 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 4646
53.4%
Common 4053
46.6%
Latin 1
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 512
 
11.0%
구 488
 
10.5%
산 390
 
8.4%
로 381
 
8.2%
광 303
 
6.5%
길 216
 
4.6%
번 140
 
3.0%
북 136
 
2.9%
남 115
 
2.5%
대 103
 
2.2%
Other values (160) 1862
40.1%
Common
ValueCountFrequency (%)
1117
27.6%
) 370
 
9.1%
( 370
 
9.1%
1 355
 
8.8%
2 289
 
7.1%
3 260
 
6.4%
- 176
 
4.3%
0 169
 
4.2%
5 167
 
4.1%
4 164
 
4.0%
Other values (5) 616
15.2%
Latin
ValueCountFrequency (%)
F 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 4646
53.4%
ASCII 4054
46.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1117
27.6%
) 370
 
9.1%
( 370
 
9.1%
1 355
 
8.8%
2 289
 
7.1%
3 260
 
6.4%
- 176
 
4.3%
0 169
 
4.2%
5 167
 
4.1%
4 164
 
4.0%
Other values (6) 617
15.2%
Hangul
ValueCountFrequency (%)
동 512
 
11.0%
구 488
 
10.5%
산 390
 
8.4%
로 381
 
8.2%
광 303
 
6.5%
길 216
 
4.6%
번 140
 
3.0%
북 136
 
2.9%
남 115
 
2.5%
대 103
 
2.2%
Other values (160) 1862
40.1%

데이터기준일자
Date

CONSTANT 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size3.9 KiB
Minimum2024-01-01 00:00:00
Maximum2024-01-01 00:00:00
2024-04-18T06:35:05.199896image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-18T06:35:05.283153image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Correlations

2024-04-18T06:35:05.345827image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
시군구구분
시군구1.0000.230
구분0.2301.000
2024-04-18T06:35:05.422086image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
시군구구분
시군구1.0000.142
구분0.1421.000
2024-04-18T06:35:05.492298image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
시군구구분
시군구1.0000.142
구분0.1421.000

Missing values

2024-04-18T06:35:03.453873image/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

시도시군구구분업 체 명소재지데이터기준일자
0광주광역시동구폐기물 수집운반(합)광주미화동구 남문로 285(내남동)2024-01-01
1광주광역시동구폐기물 수집운반무경지엔씨㈜동구 남문로 686(학동)2024-01-01
2광주광역시동구폐기물 수집운반조선환경㈜동구 필문대로 135, 3층(산수동)2024-01-01
3광주광역시동구폐기물 수집운반대한운수㈜동구 중앙로 313, 101호 (계림동)2024-01-01
4광주광역시서구폐기물 수집운반(주)광산환경서구 무진대로 468 (덕흥동)2024-01-01
5광주광역시서구폐기물 수집운반(주)남해환경산업서구 무진대로 474 (덕흥동)2024-01-01
6광주광역시서구폐기물 수집운반㈜에코비트에너지명성서구 매월1로 50-4 (매월동)2024-01-01
7광주광역시서구폐기물 수집운반유한회사토비서구 금화로73번길 6-39 (금호동)2024-01-01
8광주광역시서구폐기물 수집운반제암상사서구 유덕로 6번길 30-29 (유촌동)2024-01-01
9광주광역시서구폐기물 수집운반(유)태영환경산업서구 풍암신흥안길 17-14, 3층 (풍암동)2024-01-01
시도시군구구분업 체 명소재지데이터기준일자
477광주광역시광산구건설폐기물 수집·운반하남환경산업광산구 대산로 139(내산동)2024-01-01
478광주광역시광산구건설폐기물 수집·운반㈜자유환경광산구 상무대로 551(우산동)2024-01-01
479광주광역시광산구건설폐기물 수집·운반대성환경산업광산구 수남길 32(장수동)2024-01-01
480광주광역시광산구건설폐기물 수집·운반첨단환경광산구 임방울대로825번길 22-19(쌍암동)2024-01-01
481광주광역시광산구건설폐기물 수집·운반일등광주철거환경광산구 임곡로 685 1층(안청동)2024-01-01
482광주광역시광산구건설폐기물 중간처리(주)초당산업광산구 금동학동길 306-23(덕림동)2024-01-01
483광주광역시광산구건설폐기물 중간처리청운개발(주)광산구 노안삼도로 1347(삼도동)2024-01-01
484광주광역시광산구건설폐기물 중간처리(주)크린환경산업광산구 삼도봉학길 42(송학동)2024-01-01
485광주광역시광산구건설폐기물 중간처리(주)송대에코광산구 동곡로 14번길 137(유계동)2024-01-01
486광주광역시광산구건설폐기물 중간처리(주)케이환경광산구 노안삼도로 1243(대산동)2024-01-01

Duplicate rows

Most frequently occurring

시도시군구구분업 체 명소재지데이터기준일자# duplicates
0광주광역시광산구폐기물 수집운반(유)희망광산광산구 산정로 14-1(산정동)2024-01-012
1광주광역시광산구폐기물 수집운반㈜극동환경광산구 사암로 782(도천동), 2층2024-01-012
2광주광역시광산구폐기물 수집운반㈜무진환경기술광산구 사암로 782(도천동), 2층2024-01-012
3광주광역시광산구폐기물 수집운반㈜빛고을환경광산구 도천남길 96(도천동)2024-01-012
4광주광역시광산구폐기물 수집운반㈜에이지엠환경자원광산구 북문대로 763-1, 가-202(도천동)2024-01-012
5광주광역시광산구폐기물 수집운반㈜유현환경광산구 우산로96번길 67, 2층(우산동)2024-01-012
6광주광역시광산구폐기물 수집운반㈜청마광산구 도천남길 38-30(도천동)2024-01-012
7광주광역시광산구폐기물 수집운반㈜청하환경산업광산구 평동산단외로 177(지죽동)2024-01-012
8광주광역시광산구폐기물 수집운반㈜태곡유지광산구 평동매화길 71(지죽동)2024-01-012
9광주광역시광산구폐기물 수집운반국토환경㈜광산구 북문대로 363-86(신창동)2024-01-012