Overview

Dataset statistics

Number of variables9
Number of observations10000
Missing cells0
Missing cells (%)0.0%
Duplicate rows72
Duplicate rows (%)0.7%
Total size in memory791.0 KiB
Average record size in memory81.0 B

Variable types

DateTime1
Categorical4
Text3
Numeric1

Dataset

Description경기도광명시대형폐기물수거현황자료입니다.수거일자,폐기물구분,폐기물명,폐기물규격,개수,수거장소(도로명주소),행정동,관리기관,전화번호를확인할수있습니다.
Author경기도 광명시
URLhttps://www.data.go.kr/data/15094075/fileData.do

Alerts

폐기물 구분 has constant value ""Constant
관리기관 has constant value ""Constant
전화번호 has constant value ""Constant
Dataset has 72 (0.7%) duplicate rowsDuplicates

Reproduction

Analysis started2023-12-12 05:31:57.132516
Analysis finished2023-12-12 05:31:58.339002
Duration1.21 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

수거일자
Date

Distinct515
Distinct (%)5.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
Minimum2021-06-26 00:00:00
Maximum2022-11-22 00:00:00
2023-12-12T14:31:58.432711image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:31:58.895422image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

폐기물 구분
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
기타
10000 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
기타 10000
100.0%

Length

2023-12-12T14:31:59.074825image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T14:31:59.203037image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
기타 10000
100.0%

폐기물명
Text

Distinct119
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2023-12-12T14:31:59.554070image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length2
Mean length3.4811
Min length2

Characters and Unicode

Total characters34811
Distinct characters198
Distinct categories6 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique8 ?
Unique (%)0.1%

Sample

1st row서랍장
2nd row거울
3rd row서랍장
4th row유아용품
5th row조명기구
ValueCountFrequency (%)
침대 1258
 
10.6%
의자 1041
 
8.7%
책상 667
 
5.6%
쇼파 601
 
5.1%
장식장 472
 
4.0%
책장 448
 
3.8%
서랍장 426
 
3.6%
장롱 298
 
2.5%
유아용품 281
 
2.4%
책장,장식장 267
 
2.2%
Other values (134) 6141
51.6%
2023-12-12T14:32:00.158971image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
장 3624
 
10.4%
1900
 
5.5%
대 1718
 
4.9%
자 1402
 
4.0%
책 1382
 
4.0%
침 1258
 
3.6%
의 1111
 
3.2%
식 1005
 
2.9%
상 867
 
2.5%
파 696
 
2.0%
Other values (188) 19848
57.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 31375
90.1%
Space Separator 1900
 
5.5%
Open Punctuation 542
 
1.6%
Close Punctuation 542
 
1.6%
Other Punctuation 363
 
1.0%
Uppercase Letter 89
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
장 3624
 
11.6%
대 1718
 
5.5%
자 1402
 
4.5%
책 1382
 
4.4%
침 1258
 
4.0%
의 1111
 
3.5%
식 1005
 
3.2%
상 867
 
2.8%
파 696
 
2.2%
이 668
 
2.1%
Other values (179) 17644
56.2%
Uppercase Letter
ValueCountFrequency (%)
V 43
48.3%
T 43
48.3%
F 1
 
1.1%
R 1
 
1.1%
P 1
 
1.1%
Space Separator
ValueCountFrequency (%)
1900
100.0%
Open Punctuation
ValueCountFrequency (%)
( 542
100.0%
Close Punctuation
ValueCountFrequency (%)
) 542
100.0%
Other Punctuation
ValueCountFrequency (%)
, 363
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 31375
90.1%
Common 3347
 
9.6%
Latin 89
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
장 3624
 
11.6%
대 1718
 
5.5%
자 1402
 
4.5%
책 1382
 
4.4%
침 1258
 
4.0%
의 1111
 
3.5%
식 1005
 
3.2%
상 867
 
2.8%
파 696
 
2.2%
이 668
 
2.1%
Other values (179) 17644
56.2%
Latin
ValueCountFrequency (%)
V 43
48.3%
T 43
48.3%
F 1
 
1.1%
R 1
 
1.1%
P 1
 
1.1%
Common
ValueCountFrequency (%)
1900
56.8%
( 542
 
16.2%
) 542
 
16.2%
, 363
 
10.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 31375
90.1%
ASCII 3436
 
9.9%

Most frequent character per block

Hangul
ValueCountFrequency (%)
장 3624
 
11.6%
대 1718
 
5.5%
자 1402
 
4.5%
책 1382
 
4.4%
침 1258
 
4.0%
의 1111
 
3.5%
식 1005
 
3.2%
상 867
 
2.8%
파 696
 
2.2%
이 668
 
2.1%
Other values (179) 17644
56.2%
ASCII
ValueCountFrequency (%)
1900
55.3%
( 542
 
15.8%
) 542
 
15.8%
, 363
 
10.6%
V 43
 
1.3%
T 43
 
1.3%
F 1
 
< 0.1%
R 1
 
< 0.1%
P 1
 
< 0.1%

폐기물 규격
Text

Distinct147
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2023-12-12T14:32:00.478875image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length17
Median length15
Mean length7.0451
Min length2

Characters and Unicode

Total characters70451
Distinct characters166
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique10 ?
Unique (%)0.1%

Sample

1st row5단 이상
2nd row100cm×50cm 이상
3rd row4단 이하
4th row카시트
5th row모든 규격
ValueCountFrequency (%)
1인용 1804
 
10.1%
이상 1718
 
9.6%
규격 1015
 
5.7%
모든 1015
 
5.7%
미만 949
 
5.3%
매트리스(라텍스 728
 
4.1%
2인용 711
 
4.0%
당 568
 
3.2%
1m 533
 
3.0%
4인용 468
 
2.6%
Other values (128) 8435
47.0%
2023-12-12T14:32:00.874437image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
7944
 
11.3%
1 3985
 
5.7%
용 3626
 
5.1%
인 3352
 
4.8%
이 2993
 
4.2%
상 2500
 
3.5%
m 2445
 
3.5%
( 2147
 
3.0%
) 2147
 
3.0%
0 2131
 
3.0%
Other values (156) 37181
52.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 40286
57.2%
Decimal Number 11136
 
15.8%
Space Separator 7944
 
11.3%
Lowercase Letter 4939
 
7.0%
Open Punctuation 2147
 
3.0%
Close Punctuation 2147
 
3.0%
Other Punctuation 745
 
1.1%
Math Symbol 572
 
0.8%
Other Symbol 469
 
0.7%
Uppercase Letter 66
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
용 3626
 
9.0%
인 3352
 
8.3%
이 2993
 
7.4%
상 2500
 
6.2%
스 1670
 
4.1%
미 1402
 
3.5%
만 1303
 
3.2%
모 1136
 
2.8%
든 1015
 
2.5%
규 1015
 
2.5%
Other values (133) 20274
50.3%
Decimal Number
ValueCountFrequency (%)
1 3985
35.8%
0 2131
19.1%
2 1319
 
11.8%
3 949
 
8.5%
5 784
 
7.0%
4 778
 
7.0%
9 622
 
5.6%
8 459
 
4.1%
6 93
 
0.8%
7 16
 
0.1%
Lowercase Letter
ValueCountFrequency (%)
m 2445
49.5%
c 1860
37.7%
k 317
 
6.4%
g 317
 
6.4%
Math Symbol
ValueCountFrequency (%)
× 570
99.7%
~ 2
 
0.3%
Other Punctuation
ValueCountFrequency (%)
, 444
59.6%
. 301
40.4%
Space Separator
ValueCountFrequency (%)
7944
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2147
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2147
100.0%
Other Symbol
ValueCountFrequency (%)
㎡ 469
100.0%
Uppercase Letter
ValueCountFrequency (%)
L 66
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 40286
57.2%
Common 25160
35.7%
Latin 5005
 
7.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
용 3626
 
9.0%
인 3352
 
8.3%
이 2993
 
7.4%
상 2500
 
6.2%
스 1670
 
4.1%
미 1402
 
3.5%
만 1303
 
3.2%
모 1136
 
2.8%
든 1015
 
2.5%
규 1015
 
2.5%
Other values (133) 20274
50.3%
Common
ValueCountFrequency (%)
7944
31.6%
1 3985
15.8%
( 2147
 
8.5%
) 2147
 
8.5%
0 2131
 
8.5%
2 1319
 
5.2%
3 949
 
3.8%
5 784
 
3.1%
4 778
 
3.1%
9 622
 
2.5%
Other values (8) 2354
 
9.4%
Latin
ValueCountFrequency (%)
m 2445
48.9%
c 1860
37.2%
k 317
 
6.3%
g 317
 
6.3%
L 66
 
1.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 40286
57.2%
ASCII 29126
41.3%
None 570
 
0.8%
CJK Compat 469
 
0.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
7944
27.3%
1 3985
13.7%
m 2445
 
8.4%
( 2147
 
7.4%
) 2147
 
7.4%
0 2131
 
7.3%
c 1860
 
6.4%
2 1319
 
4.5%
3 949
 
3.3%
5 784
 
2.7%
Other values (11) 3415
11.7%
Hangul
ValueCountFrequency (%)
용 3626
 
9.0%
인 3352
 
8.3%
이 2993
 
7.4%
상 2500
 
6.2%
스 1670
 
4.1%
미 1402
 
3.5%
만 1303
 
3.2%
모 1136
 
2.8%
든 1015
 
2.5%
규 1015
 
2.5%
Other values (133) 20274
50.3%
None
ValueCountFrequency (%)
× 570
100.0%
CJK Compat
ValueCountFrequency (%)
㎡ 469
100.0%

개수
Real number (ℝ)

Distinct36
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.5504
Minimum1
Maximum90
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-12T14:32:01.008314image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile4
Maximum90
Range89
Interquartile range (IQR)0

Descriptive statistics

Standard deviation2.5820005
Coefficient of variation (CV)1.665377
Kurtosis388.38033
Mean1.5504
Median Absolute Deviation (MAD)0
Skewness16.155845
Sum15504
Variance6.6667265
MonotonicityNot monotonic
2023-12-12T14:32:01.138700image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=36)
ValueCountFrequency (%)
1 8008
80.1%
2 1113
 
11.1%
3 368
 
3.7%
4 195
 
1.9%
5 83
 
0.8%
6 61
 
0.6%
10 35
 
0.4%
7 27
 
0.3%
8 18
 
0.2%
9 10
 
0.1%
Other values (26) 82
 
0.8%
ValueCountFrequency (%)
1 8008
80.1%
2 1113
 
11.1%
3 368
 
3.7%
4 195
 
1.9%
5 83
 
0.8%
6 61
 
0.6%
7 27
 
0.3%
8 18
 
0.2%
9 10
 
0.1%
10 35
 
0.4%
ValueCountFrequency (%)
90 1
 
< 0.1%
80 1
 
< 0.1%
70 1
 
< 0.1%
64 1
 
< 0.1%
53 1
 
< 0.1%
50 3
< 0.1%
45 1
 
< 0.1%
40 1
 
< 0.1%
31 2
< 0.1%
29 1
 
< 0.1%

수거장소_도로명주소
Text

Distinct4585
Distinct (%)45.9%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2023-12-12T14:32:01.569626image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length73
Median length57
Mean length33.4724
Min length21

Characters and Unicode

Total characters334724
Distinct characters520
Distinct categories11 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2505 ?
Unique (%)25.1%

Sample

1st row경기도 광명시 오리로921번길 7, lg베스트빌 지하1층 에스지환경 (철산1동)
2nd row경기도 광명시 시청로 50, 클래스티지 102동 1702호 (철산3동)
3rd row경기도 광명시 오리로 518, 1층 르노코리아자동차 광명대리점 (소하1동)
4th row경기도 광명시 광명역로 28, 207동 3604호 (소하2동)
5th row경기도 광명시 가림일로 101, 201동 2304호 (철산4동)
ValueCountFrequency (%)
광명시 10006
 
14.9%
경기도 10000
 
14.9%
일직동 1176
 
1.8%
소하2동 1112
 
1.7%
철산3동 1072
 
1.6%
소하1동 969
 
1.4%
광명역로 843
 
1.3%
하안1동 829
 
1.2%
하안로 708
 
1.1%
오리로 692
 
1.0%
Other values (3545) 39780
59.2%
2023-12-12T14:32:02.195222image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
57359
 
17.1%
1 18955
 
5.7%
동 15531
 
4.6%
광 14732
 
4.4%
명 14425
 
4.3%
0 13665
 
4.1%
2 12399
 
3.7%
도 10586
 
3.2%
시 10468
 
3.1%
기 10310
 
3.1%
Other values (510) 156294
46.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 164809
49.2%
Decimal Number 81137
24.2%
Space Separator 57359
 
17.1%
Close Punctuation 10135
 
3.0%
Open Punctuation 10135
 
3.0%
Other Punctuation 7867
 
2.4%
Dash Punctuation 2404
 
0.7%
Uppercase Letter 559
 
0.2%
Lowercase Letter 308
 
0.1%
Math Symbol 9
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 15531
 
9.4%
광 14732
 
8.9%
명 14425
 
8.8%
도 10586
 
6.4%
시 10468
 
6.4%
기 10310
 
6.3%
경 10056
 
6.1%
로 9618
 
5.8%
호 6383
 
3.9%
하 5743
 
3.5%
Other values (447) 56957
34.6%
Lowercase Letter
ValueCountFrequency (%)
b 62
20.1%
c 35
11.4%
g 31
10.1%
s 29
9.4%
a 28
9.1%
k 22
 
7.1%
l 19
 
6.2%
e 17
 
5.5%
t 9
 
2.9%
i 8
 
2.6%
Other values (12) 48
15.6%
Uppercase Letter
ValueCountFrequency (%)
B 208
37.2%
C 83
 
14.8%
A 57
 
10.2%
G 35
 
6.3%
D 32
 
5.7%
S 31
 
5.5%
K 29
 
5.2%
I 21
 
3.8%
L 15
 
2.7%
T 12
 
2.1%
Other values (10) 36
 
6.4%
Decimal Number
ValueCountFrequency (%)
1 18955
23.4%
0 13665
16.8%
2 12399
15.3%
3 8372
10.3%
4 6561
 
8.1%
5 4568
 
5.6%
7 4557
 
5.6%
8 4505
 
5.6%
6 4442
 
5.5%
9 3113
 
3.8%
Other Punctuation
ValueCountFrequency (%)
, 7803
99.2%
. 28
 
0.4%
/ 24
 
0.3%
& 8
 
0.1%
@ 4
 
0.1%
Space Separator
ValueCountFrequency (%)
57359
100.0%
Close Punctuation
ValueCountFrequency (%)
) 10135
100.0%
Open Punctuation
ValueCountFrequency (%)
( 10135
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2404
100.0%
Math Symbol
ValueCountFrequency (%)
~ 9
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 169048
50.5%
Hangul 164809
49.2%
Latin 867
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 15531
 
9.4%
광 14732
 
8.9%
명 14425
 
8.8%
도 10586
 
6.4%
시 10468
 
6.4%
기 10310
 
6.3%
경 10056
 
6.1%
로 9618
 
5.8%
호 6383
 
3.9%
하 5743
 
3.5%
Other values (447) 56957
34.6%
Latin
ValueCountFrequency (%)
B 208
24.0%
C 83
 
9.6%
b 62
 
7.2%
A 57
 
6.6%
G 35
 
4.0%
c 35
 
4.0%
D 32
 
3.7%
S 31
 
3.6%
g 31
 
3.6%
K 29
 
3.3%
Other values (32) 264
30.4%
Common
ValueCountFrequency (%)
57359
33.9%
1 18955
 
11.2%
0 13665
 
8.1%
2 12399
 
7.3%
) 10135
 
6.0%
( 10135
 
6.0%
3 8372
 
5.0%
, 7803
 
4.6%
4 6561
 
3.9%
5 4568
 
2.7%
Other values (11) 19096
 
11.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 169915
50.8%
Hangul 164796
49.2%
Compat Jamo 13
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
57359
33.8%
1 18955
 
11.2%
0 13665
 
8.0%
2 12399
 
7.3%
) 10135
 
6.0%
( 10135
 
6.0%
3 8372
 
4.9%
, 7803
 
4.6%
4 6561
 
3.9%
5 4568
 
2.7%
Other values (53) 19963
 
11.7%
Hangul
ValueCountFrequency (%)
동 15531
 
9.4%
광 14732
 
8.9%
명 14425
 
8.8%
도 10586
 
6.4%
시 10468
 
6.4%
기 10310
 
6.3%
경 10056
 
6.1%
로 9618
 
5.8%
호 6383
 
3.9%
하 5743
 
3.5%
Other values (444) 56944
34.6%
Compat Jamo
ValueCountFrequency (%)
ㅅ 7
53.8%
ㅎ 4
30.8%
ㅇ 2
 
15.4%

행정동
Categorical

Distinct19
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
일직동
1125 
소하2동
1112 
철산3동
1071 
소하1동
969 
하안1동
829 
Other values (14)
4894 

Length

Max length4
Median length4
Mean length3.8657
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row철산1동
2nd row철산3동
3rd row소하1동
4th row소하2동
5th row철산4동

Common Values

ValueCountFrequency (%)
일직동 1125
11.2%
소하2동 1112
11.1%
철산3동 1071
10.7%
소하1동 969
9.7%
하안1동 829
 
8.3%
광명7동 663
 
6.6%
철산4동 631
 
6.3%
하안3동 460
 
4.6%
광명4동 419
 
4.2%
광명3동 399
 
4.0%
Other values (9) 2322
23.2%

Length

2023-12-12T14:32:02.350930image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
일직동 1125
11.2%
소하2동 1112
11.1%
철산3동 1071
10.7%
소하1동 969
9.7%
하안1동 829
 
8.3%
광명7동 663
 
6.6%
철산4동 631
 
6.3%
하안3동 460
 
4.6%
광명4동 419
 
4.2%
광명3동 399
 
4.0%
Other values (9) 2322
23.2%

관리기관
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
자원순환과
10000 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
자원순환과 10000
100.0%

Length

2023-12-12T14:32:02.506416image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T14:32:02.626040image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
자원순환과 10000
100.0%

전화번호
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
02-2680-6087
10000 

Length

Max length12
Median length12
Mean length12
Min length12

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row02-2680-6087
2nd row02-2680-6087
3rd row02-2680-6087
4th row02-2680-6087
5th row02-2680-6087

Common Values

ValueCountFrequency (%)
02-2680-6087 10000
100.0%

Length

2023-12-12T14:32:02.757446image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T14:32:02.875937image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
02-2680-6087 10000
100.0%

Interactions

2023-12-12T14:31:57.935417image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T14:32:02.947211image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
개수행정동
개수1.0000.043
행정동0.0431.000
2023-12-12T14:32:03.048100image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
개수행정동
개수1.0000.017
행정동0.0171.000

Missing values

2023-12-12T14:31:58.056918image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T14:31:58.251666image/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

수거일자폐기물 구분폐기물명폐기물 규격개수수거장소_도로명주소행정동관리기관전화번호
57362022-02-09기타서랍장5단 이상1경기도 광명시 오리로921번길 7, lg베스트빌 지하1층 에스지환경 (철산1동)철산1동자원순환과02-2680-6087
89662022-05-08기타거울100cm×50cm 이상1경기도 광명시 시청로 50, 클래스티지 102동 1702호 (철산3동)철산3동자원순환과02-2680-6087
130052022-09-23기타서랍장4단 이하1경기도 광명시 오리로 518, 1층 르노코리아자동차 광명대리점 (소하1동)소하1동자원순환과02-2680-6087
32402021-11-01기타유아용품카시트1경기도 광명시 광명역로 28, 207동 3604호 (소하2동)소하2동자원순환과02-2680-6087
88772022-05-06기타조명기구모든 규격1경기도 광명시 가림일로 101, 201동 2304호 (철산4동)철산4동자원순환과02-2680-6087
25032021-10-05기타자전거어린이용(3륜)1경기도 광명시 광명역로 26 106동2004호 광명역파크자이 (소하2동)소하2동자원순환과02-2680-6087
35132021-11-12기타책장 장식장90cm×180cm 미만1경기도 광명시 도덕로28번안길 22 603호 (광명7동)광명7동자원순환과02-2680-6087
6802021-07-26기타장롱120cm 이상 1쪽1경기도 광명시 가마산로 11 1001동 201호 (철산2동)철산2동자원순환과02-2680-6087
32462021-11-01기타쇼파1인용1경기도 광명시 광명역로 26, 104-3001 (광명6동)광명6동자원순환과02-2680-6087
39992021-12-03기타유아용 놀이매트3.3㎡(1평) 당3경기도 광명시 광명역로 28, 205-4004 (소하2동)소하2동자원순환과02-2680-6087
수거일자폐기물 구분폐기물명폐기물 규격개수수거장소_도로명주소행정동관리기관전화번호
87212022-05-01기타서랍장4단 이하1경기도 광명시 가림로 38, 502-706 (하안1동)하안1동자원순환과02-2680-6087
28582021-10-18기타책상컴퓨터 책상(서랍 없음)1경기도 광명시 일직로99번길 15 202호 (소하2동)소하2동자원순환과02-2680-6087
77062022-04-06기타책상컴퓨터 책상(서랍 없음)1경기도 광명시 안현로 34, 311동 1204호 (하안2동)하안2동자원순환과02-2680-6087
21512021-09-24기타장롱90cm미만 1쪽1경기도 광명시 광명로 936 502호 (광명2동)광명2동자원순환과02-2680-6087
35412021-11-14기타침대침대틀 2인용1경기도 광명시 소하로 161, 613동 301호(소하동 휴먼시아) (소하1동)소하1동자원순환과02-2680-6087
50802022-01-15기타식탁4인용 미만2경기도 광명시 덕단이로9번길 21, 행복한사람들 302호 (광명7동)광명7동자원순환과02-2680-6087
24202021-10-01기타마네킹모든 규격2경기도 광명시 철산로 4 2001 아울렛1층 (철산3동)철산3동자원순환과02-2680-6087
1772021-07-05기타조명기구모든 규격1경기도 광명시 광명역로 26 104동2202호 (소하2동)소하2동자원순환과02-2680-6087
10962021-08-11기타항아리중형(30L 이상)1경기도 광명시 신촌북로 21 101동203호 (소하1동)소하1동자원순환과02-2680-6087
14642021-08-27기타서랍장5단 이상1경기도 광명시 한내일로 35 201호 (소하1동)소하1동자원순환과02-2680-6087

Duplicate rows

Most frequently occurring

수거일자폐기물 구분폐기물명폐기물 규격개수수거장소_도로명주소행정동관리기관전화번호# duplicates
212022-01-12기타의자1인용1경기도 광명시 오리로 801, 109동 2701호 (하안1동)하안1동자원순환과02-2680-60875
62021-08-13기타책장,장식장책꽂이 2단 이상1경기도 광명시 도덕로 51 1층 (광명7동)광명7동자원순환과02-2680-60873
172021-12-16기타의자1인용1경기도 광명시 양지로 16, 107동 1704호 (일직동)일직동자원순환과02-2680-60873
202022-01-12기타서랍장4단 이하1경기도 광명시 오리로 801, 109동 2701호 (하안1동)하안1동자원순환과02-2680-60873
252022-01-15기타의자1인용1경기도 광명시 덕단이로9번길 21, 행복한사람들 302호 (광명7동)광명7동자원순환과02-2680-60873
02021-07-08기타옷걸이,행거모든 규격1경기도 광명시 목감로 58 109동1802호 (광명6동)광명6동자원순환과02-2680-60872
12021-07-08기타책장,장식장책꽂이 2단 이상1경기도 광명시 목감로 58 109동1802호 (광명6동)광명6동자원순환과02-2680-60872
22021-07-19기타의자1인용1경기도 광명시 새터로 106-30 101호 (광명7동)광명7동자원순환과02-2680-60872
32021-07-22기타밥상4인용 미만(교자상 포함)1경기도 광명시 가마산로 29 1102동 402호 (철산2동)철산2동자원순환과02-2680-60872
42021-07-30기타운동기구자전거, 스텝퍼1경기도 광명시 안재로14번길 14-1 203호 (하안2동)하안2동자원순환과02-2680-60872