Overview

Dataset statistics

Number of variables9
Number of observations10000
Missing cells0
Missing cells (%)0.0%
Duplicate rows9
Duplicate rows (%)0.1%
Total size in memory791.0 KiB
Average record size in memory81.0 B

Variable types

DateTime1
Categorical4
Text3
Numeric1

Dataset

Description경기도 광주시 대형폐기물 수거 현황에 대한 데이터로 수거일자, 폐기물 구분, 폐기물 명, 폐기물 규격, 개수, 수거장소_도로명주소, 행정동, 관리기관 등을 제공합니다.
Author경기도 광주시
URLhttps://www.data.go.kr/data/15093622/fileData.do

Alerts

관리기관 has constant value ""Constant
전화번호 has constant value ""Constant
Dataset has 9 (0.1%) duplicate rowsDuplicates
개수 is highly skewed (γ1 = 31.31095477)Skewed

Reproduction

Analysis started2023-12-12 13:45:39.063531
Analysis finished2023-12-12 13:45:40.492699
Duration1.43 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

수거일자
Date

Distinct719
Distinct (%)7.2%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
Minimum2019-11-01 00:00:00
Maximum2021-10-21 00:00:00
2023-12-12T22:45:40.569562image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T22:45:40.722690image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

폐기물 구분
Categorical

Distinct5
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
<NA>
4918 
가구류
2698 
가전제품류
908 
생활용품류
786 
기타
690 

Length

Max length5
Median length4
Mean length3.7616
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row가전제품류
5th row가구류

Common Values

ValueCountFrequency (%)
<NA> 4918
49.2%
가구류 2698
27.0%
가전제품류 908
 
9.1%
생활용품류 786
 
7.9%
기타 690
 
6.9%

Length

2023-12-12T22:45:40.897820image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T22:45:41.023503image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 4918
49.2%
가구류 2698
27.0%
가전제품류 908
 
9.1%
생활용품류 786
 
7.9%
기타 690
 
6.9%

폐기물 명
Text

Distinct148
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2023-12-12T22:45:41.313167image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length16
Median length14
Mean length3.2612
Min length2

Characters and Unicode

Total characters32612
Distinct characters215
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique6 ?
Unique (%)0.1%

Sample

1st row거울
2nd row유모차
3rd row소파
4th row청소기
5th row진열장
ValueCountFrequency (%)
의자 957
 
8.9%
침대 953
 
8.9%
서랍장 730
 
6.8%
소파 642
 
6.0%
교자상 411
 
3.8%
식탁 339
 
3.2%
장농 299
 
2.8%
목재류 246
 
2.3%
청소기 215
 
2.0%
컴퓨터 211
 
2.0%
Other values (153) 5718
53.3%
2023-12-12T22:45:41.834578image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
장 2115
 
6.5%
자 1716
 
5.3%
대 1406
 
4.3%
기 1160
 
3.6%
침 1070
 
3.3%
의 1033
 
3.2%
소 959
 
2.9%
상 906
 
2.8%
책 764
 
2.3%
이 748
 
2.3%
Other values (205) 20735
63.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 30500
93.5%
Space Separator 721
 
2.2%
Close Punctuation 511
 
1.6%
Open Punctuation 511
 
1.6%
Uppercase Letter 221
 
0.7%
Decimal Number 35
 
0.1%
Other Punctuation 35
 
0.1%
Lowercase Letter 35
 
0.1%
Other Number 35
 
0.1%
Math Symbol 8
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
장 2115
 
6.9%
자 1716
 
5.6%
대 1406
 
4.6%
기 1160
 
3.8%
침 1070
 
3.5%
의 1033
 
3.4%
소 959
 
3.1%
상 906
 
3.0%
책 764
 
2.5%
이 748
 
2.5%
Other values (194) 18623
61.1%
Uppercase Letter
ValueCountFrequency (%)
V 106
48.0%
T 106
48.0%
R 9
 
4.1%
Space Separator
ValueCountFrequency (%)
721
100.0%
Close Punctuation
ValueCountFrequency (%)
) 511
100.0%
Open Punctuation
ValueCountFrequency (%)
( 511
100.0%
Decimal Number
ValueCountFrequency (%)
5 35
100.0%
Other Punctuation
ValueCountFrequency (%)
, 35
100.0%
Lowercase Letter
ValueCountFrequency (%)
m 35
100.0%
Other Number
ValueCountFrequency (%)
³ 35
100.0%
Math Symbol
ValueCountFrequency (%)
~ 8
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 30500
93.5%
Common 1856
 
5.7%
Latin 256
 
0.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
장 2115
 
6.9%
자 1716
 
5.6%
대 1406
 
4.6%
기 1160
 
3.8%
침 1070
 
3.5%
의 1033
 
3.4%
소 959
 
3.1%
상 906
 
3.0%
책 764
 
2.5%
이 748
 
2.5%
Other values (194) 18623
61.1%
Common
ValueCountFrequency (%)
721
38.8%
) 511
27.5%
( 511
27.5%
5 35
 
1.9%
, 35
 
1.9%
³ 35
 
1.9%
~ 8
 
0.4%
Latin
ValueCountFrequency (%)
V 106
41.4%
T 106
41.4%
m 35
 
13.7%
R 9
 
3.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 30500
93.5%
ASCII 2077
 
6.4%
None 35
 
0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
장 2115
 
6.9%
자 1716
 
5.6%
대 1406
 
4.6%
기 1160
 
3.8%
침 1070
 
3.5%
의 1033
 
3.4%
소 959
 
3.1%
상 906
 
3.0%
책 764
 
2.5%
이 748
 
2.5%
Other values (194) 18623
61.1%
ASCII
ValueCountFrequency (%)
721
34.7%
) 511
24.6%
( 511
24.6%
V 106
 
5.1%
T 106
 
5.1%
5 35
 
1.7%
, 35
 
1.7%
m 35
 
1.7%
R 9
 
0.4%
~ 8
 
0.4%
None
ValueCountFrequency (%)
³ 35
100.0%

폐기물 규격
Text

Distinct165
Distinct (%)1.7%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2023-12-12T22:45:42.176291image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length17
Mean length7.1808
Min length1

Characters and Unicode

Total characters71808
Distinct characters134
Distinct categories12 ?
Distinct scripts3 ?
Distinct blocks5 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique17 ?
Unique (%)0.2%

Sample

1st row모든규격
2nd row모든규격
3rd row1인용
4th row용량 10L 미만
5th row높이 또는 폭(큰수) 1.5m 이상
ValueCountFrequency (%)
모든규격 1438
 
7.4%
미만 1368
 
7.1%
높이 1120
 
5.8%
또는 996
 
5.2%
폭(큰수 959
 
5.0%
1.5m 888
 
4.6%
이상 881
 
4.6%
등 578
 
3.0%
모든 565
 
2.9%
규격 565
 
2.9%
Other values (132) 9965
51.6%
2023-12-12T22:45:42.756239image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
9413
 
13.1%
1 3774
 
5.3%
용 3337
 
4.6%
이 3102
 
4.3%
모 2132
 
3.0%
인 2082
 
2.9%
든 2028
 
2.8%
규 2028
 
2.8%
격 2028
 
2.8%
( 2027
 
2.8%
Other values (124) 39857
55.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 44236
61.6%
Space Separator 9413
 
13.1%
Decimal Number 8938
 
12.4%
Lowercase Letter 3129
 
4.4%
Open Punctuation 2027
 
2.8%
Close Punctuation 2027
 
2.8%
Other Punctuation 1301
 
1.8%
Uppercase Letter 280
 
0.4%
Other Symbol 270
 
0.4%
Math Symbol 161
 
0.2%
Other values (2) 26
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
용 3337
 
7.5%
이 3102
 
7.0%
모 2132
 
4.8%
인 2082
 
4.7%
든 2028
 
4.6%
규 2028
 
4.6%
격 2028
 
4.6%
미 1593
 
3.6%
만 1570
 
3.5%
상 1367
 
3.1%
Other values (95) 22969
51.9%
Decimal Number
ValueCountFrequency (%)
1 3774
42.2%
5 1404
 
15.7%
2 1321
 
14.8%
0 1275
 
14.3%
4 639
 
7.1%
3 296
 
3.3%
6 147
 
1.6%
9 76
 
0.9%
7 6
 
0.1%
Lowercase Letter
ValueCountFrequency (%)
m 1719
54.9%
k 442
 
14.1%
g 442
 
14.1%
c 429
 
13.7%
ℓ 97
 
3.1%
Other Symbol
ValueCountFrequency (%)
㎡ 135
50.0%
㎏ 48
 
17.8%
㎝ 46
 
17.0%
㎥ 41
 
15.2%
Other Punctuation
ValueCountFrequency (%)
. 963
74.0%
, 338
 
26.0%
Uppercase Letter
ValueCountFrequency (%)
M 172
61.4%
L 108
38.6%
Math Symbol
ValueCountFrequency (%)
+ 158
98.1%
× 3
 
1.9%
Space Separator
ValueCountFrequency (%)
9413
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2027
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2027
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 16
100.0%
Other Number
ValueCountFrequency (%)
³ 10
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 44236
61.6%
Common 24260
33.8%
Latin 3312
 
4.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
용 3337
 
7.5%
이 3102
 
7.0%
모 2132
 
4.8%
인 2082
 
4.7%
든 2028
 
4.6%
규 2028
 
4.6%
격 2028
 
4.6%
미 1593
 
3.6%
만 1570
 
3.5%
상 1367
 
3.1%
Other values (95) 22969
51.9%
Common
ValueCountFrequency (%)
9413
38.8%
1 3774
15.6%
( 2027
 
8.4%
) 2027
 
8.4%
5 1404
 
5.8%
2 1321
 
5.4%
0 1275
 
5.3%
. 963
 
4.0%
4 639
 
2.6%
, 338
 
1.4%
Other values (13) 1079
 
4.4%
Latin
ValueCountFrequency (%)
m 1719
51.9%
k 442
 
13.3%
g 442
 
13.3%
c 429
 
13.0%
M 172
 
5.2%
L 108
 
3.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 44236
61.6%
ASCII 27192
37.9%
CJK Compat 270
 
0.4%
Letterlike Symbols 97
 
0.1%
None 13
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
9413
34.6%
1 3774
13.9%
( 2027
 
7.5%
) 2027
 
7.5%
m 1719
 
6.3%
5 1404
 
5.2%
2 1321
 
4.9%
0 1275
 
4.7%
. 963
 
3.5%
4 639
 
2.3%
Other values (12) 2630
 
9.7%
Hangul
ValueCountFrequency (%)
용 3337
 
7.5%
이 3102
 
7.0%
모 2132
 
4.8%
인 2082
 
4.7%
든 2028
 
4.6%
규 2028
 
4.6%
격 2028
 
4.6%
미 1593
 
3.6%
만 1570
 
3.5%
상 1367
 
3.1%
Other values (95) 22969
51.9%
CJK Compat
ValueCountFrequency (%)
㎡ 135
50.0%
㎏ 48
 
17.8%
㎝ 46
 
17.0%
㎥ 41
 
15.2%
Letterlike Symbols
ValueCountFrequency (%)
ℓ 97
100.0%
None
ValueCountFrequency (%)
³ 10
76.9%
× 3
 
23.1%

개수
Real number (ℝ)

SKEWED 

Distinct29
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.4201
Minimum1
Maximum133
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-12T22:45:42.906913image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile3
Maximum133
Range132
Interquartile range (IQR)0

Descriptive statistics

Standard deviation2.0737999
Coefficient of variation (CV)1.4603196
Kurtosis1704.9814
Mean1.4201
Median Absolute Deviation (MAD)0
Skewness31.310955
Sum14201
Variance4.3006461
MonotonicityNot monotonic
2023-12-12T22:45:43.041162image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=29)
ValueCountFrequency (%)
1 8113
81.1%
2 1150
 
11.5%
3 334
 
3.3%
4 185
 
1.8%
5 90
 
0.9%
6 36
 
0.4%
10 15
 
0.1%
7 13
 
0.1%
8 10
 
0.1%
9 9
 
0.1%
Other values (19) 45
 
0.4%
ValueCountFrequency (%)
1 8113
81.1%
2 1150
 
11.5%
3 334
 
3.3%
4 185
 
1.8%
5 90
 
0.9%
6 36
 
0.4%
7 13
 
0.1%
8 10
 
0.1%
9 9
 
0.1%
10 15
 
0.1%
ValueCountFrequency (%)
133 1
< 0.1%
44 1
< 0.1%
43 1
< 0.1%
42 1
< 0.1%
40 1
< 0.1%
32 1
< 0.1%
29 2
< 0.1%
26 1
< 0.1%
24 1
< 0.1%
23 2
< 0.1%

수거장소_도로명주소
Text

Distinct7324
Distinct (%)73.2%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2023-12-12T22:45:43.338591image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length110
Median length69
Mean length30.0301
Min length5

Characters and Unicode

Total characters300301
Distinct characters721
Distinct categories12 ?
Distinct scripts3 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique5610 ?
Unique (%)56.1%

Sample

1st row경기도 광주시 오포읍 문형산안길 21201호
2nd row경기도 광주시 순암로 453-82동 편의점옆 골목 들어오시는길 쓰레기버리는곳분리수거함 쪽에 둘게요
3rd row경기도 광주시 중앙로 330-34303호
4th row경기도 광주시 도척면 도척윗로 210-22화이트빌 분리수거함쪽에 두겠습니다
5th row경기도 광주시 텃골길26번길 23-12단독주택
ValueCountFrequency (%)
광주시 9572
 
16.9%
경기도 9370
 
16.5%
오포읍 4387
 
7.7%
초월읍 765
 
1.3%
앞 758
 
1.3%
분리수거장 584
 
1.0%
새말길 524
 
0.9%
옆 464
 
0.8%
곤지암읍 329
 
0.6%
이배재로 299
 
0.5%
Other values (8846) 29752
52.4%
2023-12-12T22:45:43.808567image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
47370
 
15.8%
1 17945
 
6.0%
0 11369
 
3.8%
주 10625
 
3.5%
기 10521
 
3.5%
경 10488
 
3.5%
2 10080
 
3.4%
광 9937
 
3.3%
도 9821
 
3.3%
시 9732
 
3.2%
Other values (711) 152413
50.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 170936
56.9%
Decimal Number 71407
23.8%
Space Separator 47370
 
15.8%
Dash Punctuation 7059
 
2.4%
Uppercase Letter 1549
 
0.5%
Open Punctuation 648
 
0.2%
Close Punctuation 645
 
0.2%
Lowercase Letter 337
 
0.1%
Other Punctuation 333
 
0.1%
Math Symbol 14
 
< 0.1%
Other values (2) 3
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 10625
 
6.2%
기 10521
 
6.2%
경 10488
 
6.1%
광 9937
 
5.8%
도 9821
 
5.7%
시 9732
 
5.7%
길 8366
 
4.9%
동 6639
 
3.9%
읍 5506
 
3.2%
오 5139
 
3.0%
Other values (635) 84162
49.2%
Uppercase Letter
ValueCountFrequency (%)
B 538
34.7%
A 463
29.9%
C 203
 
13.1%
D 120
 
7.7%
J 38
 
2.5%
E 37
 
2.4%
K 24
 
1.5%
F 18
 
1.2%
G 16
 
1.0%
N 14
 
0.9%
Other values (14) 78
 
5.0%
Lowercase Letter
ValueCountFrequency (%)
c 93
27.6%
b 88
26.1%
a 50
14.8%
e 17
 
5.0%
s 17
 
5.0%
y 8
 
2.4%
m 8
 
2.4%
o 8
 
2.4%
k 7
 
2.1%
j 6
 
1.8%
Other values (13) 35
 
10.4%
Decimal Number
ValueCountFrequency (%)
1 17945
25.1%
0 11369
15.9%
2 10080
14.1%
3 8037
11.3%
4 6303
 
8.8%
5 4305
 
6.0%
6 4049
 
5.7%
7 3821
 
5.4%
8 2958
 
4.1%
9 2535
 
3.6%
Other Punctuation
ValueCountFrequency (%)
, 189
56.8%
. 89
26.7%
/ 38
 
11.4%
: 9
 
2.7%
! 3
 
0.9%
; 2
 
0.6%
& 2
 
0.6%
@ 1
 
0.3%
Open Punctuation
ValueCountFrequency (%)
( 645
99.5%
[ 3
 
0.5%
Close Punctuation
ValueCountFrequency (%)
) 642
99.5%
] 3
 
0.5%
Math Symbol
ValueCountFrequency (%)
~ 13
92.9%
+ 1
 
7.1%
Space Separator
ValueCountFrequency (%)
47370
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 7059
100.0%
Modifier Symbol
ValueCountFrequency (%)
^ 2
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 170936
56.9%
Common 127479
42.5%
Latin 1886
 
0.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 10625
 
6.2%
기 10521
 
6.2%
경 10488
 
6.1%
광 9937
 
5.8%
도 9821
 
5.7%
시 9732
 
5.7%
길 8366
 
4.9%
동 6639
 
3.9%
읍 5506
 
3.2%
오 5139
 
3.0%
Other values (635) 84162
49.2%
Latin
ValueCountFrequency (%)
B 538
28.5%
A 463
24.5%
C 203
 
10.8%
D 120
 
6.4%
c 93
 
4.9%
b 88
 
4.7%
a 50
 
2.7%
J 38
 
2.0%
E 37
 
2.0%
K 24
 
1.3%
Other values (37) 232
12.3%
Common
ValueCountFrequency (%)
47370
37.2%
1 17945
 
14.1%
0 11369
 
8.9%
2 10080
 
7.9%
3 8037
 
6.3%
- 7059
 
5.5%
4 6303
 
4.9%
5 4305
 
3.4%
6 4049
 
3.2%
7 3821
 
3.0%
Other values (19) 7141
 
5.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 170926
56.9%
ASCII 129360
43.1%
Compat Jamo 10
 
< 0.1%
None 5
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
47370
36.6%
1 17945
 
13.9%
0 11369
 
8.8%
2 10080
 
7.8%
3 8037
 
6.2%
- 7059
 
5.5%
4 6303
 
4.9%
5 4305
 
3.3%
6 4049
 
3.1%
7 3821
 
3.0%
Other values (65) 9022
 
7.0%
Hangul
ValueCountFrequency (%)
주 10625
 
6.2%
기 10521
 
6.2%
경 10488
 
6.1%
광 9937
 
5.8%
도 9821
 
5.7%
시 9732
 
5.7%
길 8366
 
4.9%
동 6639
 
3.9%
읍 5506
 
3.2%
오 5139
 
3.0%
Other values (630) 84152
49.2%
None
ValueCountFrequency (%)
３ 5
100.0%
Compat Jamo
ValueCountFrequency (%)
ㅡ 4
40.0%
ㅅ 3
30.0%
ㅜ 1
 
10.0%
ㅣ 1
 
10.0%
ㅂ 1
 
10.0%

행정동
Categorical

Distinct9
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
<NA>
3219 
남종면
3037 
곤지암읍
2019 
도척면
887 
오포읍
422 
Other values (4)
416 

Length

Max length4
Median length4
Mean length3.5239
Min length3

Unique

Unique2 ?
Unique (%)< 0.1%

Sample

1st row남종면
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row남종면

Common Values

ValueCountFrequency (%)
<NA> 3219
32.2%
남종면 3037
30.4%
곤지암읍 2019
20.2%
도척면 887
 
8.9%
오포읍 422
 
4.2%
초월읍 370
 
3.7%
퇴촌면 44
 
0.4%
광남1동 1
 
< 0.1%
송정동 1
 
< 0.1%

Length

2023-12-12T22:45:43.942879image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T22:45:44.047254image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 3219
32.2%
남종면 3037
30.4%
곤지암읍 2019
20.2%
도척면 887
 
8.9%
오포읍 422
 
4.2%
초월읍 370
 
3.7%
퇴촌면 44
 
0.4%
광남1동 1
 
< 0.1%
송정동 1
 
< 0.1%

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

2023-12-12T22:45:44.180061image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T22:45:44.261556image/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
031-760-2864
10000 

Length

Max length12
Median length12
Mean length12
Min length12

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row031-760-2864
2nd row031-760-2864
3rd row031-760-2864
4th row031-760-2864
5th row031-760-2864

Common Values

ValueCountFrequency (%)
031-760-2864 10000
100.0%

Length

2023-12-12T22:45:44.347320image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T22:45:44.426840image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
031-760-2864 10000
100.0%

Interactions

2023-12-12T22:45:40.106414image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T22:45:44.477069image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
폐기물 구분개수행정동
폐기물 구분1.0000.0500.000
개수0.0501.0000.000
행정동0.0000.0001.000
2023-12-12T22:45:44.557663image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
행정동폐기물 구분
행정동1.0000.000
폐기물 구분0.0001.000
2023-12-12T22:45:44.637438image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
개수폐기물 구분행정동
개수1.0000.0470.000
폐기물 구분0.0471.0000.000
행정동0.0000.0001.000

Missing values

2023-12-12T22:45:40.255724image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T22:45:40.415107image/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 구분폐기물 명폐기물 규격개수수거장소_도로명주소행정동관리기관전화번호
463002020-03-29<NA>거울모든규격2경기도 광주시 오포읍 문형산안길 21201호남종면자원순환과031-760-2864
368122020-08-20<NA>유모차모든규격1경기도 광주시 순암로 453-82동 편의점옆 골목 들어오시는길 쓰레기버리는곳분리수거함 쪽에 둘게요<NA>자원순환과031-760-2864
321242020-10-16<NA>소파1인용1경기도 광주시 중앙로 330-34303호<NA>자원순환과031-760-2864
54022021-08-28가전제품류청소기용량 10L 미만1경기도 광주시 도척면 도척윗로 210-22화이트빌 분리수거함쪽에 두겠습니다<NA>자원순환과031-760-2864
127492021-06-13가구류진열장높이 또는 폭(큰수) 1.5m 이상1경기도 광주시 텃골길26번길 23-12단독주택남종면자원순환과031-760-2864
254842021-01-20가구류서랍장높이 또는 폭(큰수) 1m 미만1경기도 광주시 태성로 1071607동 앞 쓰레기장<NA>자원순환과031-760-2864
207492021-03-16생활용품류옷걸이모든규격2경기도 광주시 초월읍 진새골길 43-11201동 203호남종면자원순환과031-760-2864
395302020-07-08<NA>장판10kg 당1경기도 광주시 이배재로 277-12평화하우스 401호남종면자원순환과031-760-2864
367852020-08-20<NA>TV받침대모든규격1경기도 광주시 초월읍 경충대로963번길 11-111105동 102호남종면자원순환과031-760-2864
386592020-07-22<NA>침대1인용(매트리스 포함)1경기도 광주시 오포읍 상태길68번길 6동아빌402호남종면자원순환과031-760-2864
수거일자폐기물 구분폐기물 명폐기물 규격개수수거장소_도로명주소행정동관리기관전화번호
11832021-10-07가구류책상편수책상1경기도 광주시 오포읍 문형산길47번길 12-4광명하우스 103동 편의점 측 쓰레기 수거장남종면자원순환과031-760-2864
322342020-10-15<NA>유모차모든규격1경기도 광주시 오포읍 상태길 73-45c동남종면자원순환과031-760-2864
481952020-02-26<NA>침대1인용(매트리스 포함)1경기도 광주시 오포읍 문형새솔길 11111동 1401호초월읍자원순환과031-760-2864
331012020-10-03<NA>화장대1대1경기도 광주시 곤지암읍 오향리339-3블루밍힐즈B동 앞에남종면자원순환과031-760-2864
235902021-02-16가구류책장높이 또는 폭(큰수) 1.5m 이상1경기도 광주시 곤지암읍 새재길 243-49한국농산 정문앞남종면자원순환과031-760-2864
66482021-08-15가전제품류컴퓨터본 체1경기도 광주시 오포읍 양벌로353번길 39-63빌라 쓰레기배출장소도척면자원순환과031-760-2864
97992021-07-16가전제품류선풍기가정용1경기도 광주시 오포읍 문형산길 73주차장 앞남종면자원순환과031-760-2864
404002020-06-24<NA>쌀통모든규격1경기도 광주시 오포읍 문형산길 237신현리47-1(금강블루베리앞)지은프라스틱 옆 다리건너 좌회전남종면자원순환과031-760-2864
378862020-08-05<NA>화장대1대1경기도 광주시 오포읍 문형산길 158-13102동남종면자원순환과031-760-2864
79562021-08-03생활용품류유리높이 또는 폭(큰수) 1m 이상1경기도 광주시 오포읍 새말길 149-27104동 302호남종면자원순환과031-760-2864

Duplicate rows

Most frequently occurring

수거일자폐기물 구분폐기물 명폐기물 규격개수수거장소_도로명주소행정동관리기관전화번호# duplicates
02020-06-21<NA>장식장1쪽1경기도 광주시 오포읍 마루들길172번길 147동 옆 쓰레기 배출구장도척면자원순환과031-760-28642
12021-02-14기타놀이매트1㎡당1경기도 광주시 회안대로 350-12102동 302호도척면자원순환과031-760-28642
22021-05-04생활용품류장난감5kg 미만1경기도 광주시 오포읍 능평로 51-7가동 102호곤지암읍자원순환과031-760-28642
32021-05-08가전제품류온풍기66㎡ 미만1경기도 광주시 오포읍 회안대로71번길 6-49MJ하우스 103동 201호<NA>자원순환과031-760-28642
42021-06-02가구류침대1인용 매트리스1경기도 광주시 오포읍 상태길 66-52310동남종면자원순환과031-760-28642
52021-06-26가구류서랍장높이 또는 폭(큰수) 1m 미만1경기도 광주시 퇴촌면 갈올길 59-42관음리 267-16<NA>자원순환과031-760-28642
62021-07-07기타합판높이 또는 폭(큰수) 1.5m 미만1경기도 광주시 오포읍 능평로75번길 9B동 분리수거함 옆곤지암읍자원순환과031-760-28642
72021-07-07생활용품류액자50cm 이상1경기도 광주시 오포읍 능평로75번길 9B동 분리수거함 옆곤지암읍자원순환과031-760-28642
82021-07-10생활용품류다리미판모든 규격1경기도 광주시 곤지암읍 평촌길 20103동1716호<NA>자원순환과031-760-28642