Overview

Dataset statistics

Number of variables26
Number of observations10000
Missing cells5666
Missing cells (%)2.2%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory2.1 MiB
Average record size in memory219.0 B

Variable types

Numeric3
Text6
Categorical12
DateTime1
Boolean4

Dataset

Description대전광역시 유성구 내에 생활쓰레기(일반쓰레기, 음식물쓰레기, 재활용품, 생활폐기물) 의 배출장소 정보를 제공합니다.사용좌표계: EPSG 4326
Author대전광역시 유성구
URLhttps://www.data.go.kr/data/15109940/fileData.do

Alerts

시도 has constant value ""Constant
시군 has constant value ""Constant
사용유무 has constant value ""Constant
일반쓰레기배출요일 has constant value ""Constant
음식물쓰레기배출요일 has constant value ""Constant
미수거일 has constant value ""Constant
카메라유무 is highly imbalanced (68.2%)Imbalance
공공쓰레기통유무 is highly imbalanced (84.5%)Imbalance
일반쓰레기배출시간 is highly imbalanced (99.7%)Imbalance
음식물쓰레기배출시간 is highly imbalanced (99.7%)Imbalance
재활용품배출시간 is highly imbalanced (99.7%)Imbalance
도로명주소 has 5666 (56.7%) missing valuesMissing
연번 has unique valuesUnique
고유번호 has unique valuesUnique
이미지고유번호 has unique valuesUnique

Reproduction

Analysis started2023-12-12 11:56:13.225140
Analysis finished2023-12-12 11:56:15.502960
Duration2.28 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

UNIQUE 

Distinct10000
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6263.8631
Minimum1
Maximum12561
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-12T20:56:15.634238image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile635.9
Q13131.75
median6257.5
Q39386.25
95-th percentile11924.05
Maximum12561
Range12560
Interquartile range (IQR)6254.5

Descriptive statistics

Standard deviation3610.3031
Coefficient of variation (CV)0.57637006
Kurtosis-1.1928775
Mean6263.8631
Median Absolute Deviation (MAD)3127
Skewness0.0042814007
Sum62638631
Variance13034289
MonotonicityNot monotonic
2023-12-12T20:56:15.865247image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
8379 1
 
< 0.1%
6235 1
 
< 0.1%
10759 1
 
< 0.1%
472 1
 
< 0.1%
11310 1
 
< 0.1%
1742 1
 
< 0.1%
8893 1
 
< 0.1%
7364 1
 
< 0.1%
6060 1
 
< 0.1%
9161 1
 
< 0.1%
Other values (9990) 9990
99.9%
ValueCountFrequency (%)
1 1
< 0.1%
2 1
< 0.1%
4 1
< 0.1%
5 1
< 0.1%
6 1
< 0.1%
7 1
< 0.1%
8 1
< 0.1%
9 1
< 0.1%
11 1
< 0.1%
12 1
< 0.1%
ValueCountFrequency (%)
12561 1
< 0.1%
12559 1
< 0.1%
12557 1
< 0.1%
12554 1
< 0.1%
12552 1
< 0.1%
12551 1
< 0.1%
12550 1
< 0.1%
12548 1
< 0.1%
12547 1
< 0.1%
12546 1
< 0.1%

고유번호
Text

UNIQUE 

Distinct10000
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2023-12-12T20:56:16.184546image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length20
Mean length20
Min length20

Characters and Unicode

Total characters200000
Distinct characters14
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique10000 ?
Unique (%)100.0%

Sample

1st rowSOM_0000000000008394
2nd rowSOM_0000000000011443
3rd rowSOM_0000000000007292
4th rowSOM_0000000000007862
5th rowSOM_0000000000007511
ValueCountFrequency (%)
som_0000000000008394 1
 
< 0.1%
som_0000000000007379 1
 
< 0.1%
som_0000000000002627 1
 
< 0.1%
som_0000000000001515 1
 
< 0.1%
som_0000000000010774 1
 
< 0.1%
som_0000000000000473 1
 
< 0.1%
som_0000000000011325 1
 
< 0.1%
som_0000000000001749 1
 
< 0.1%
som_0000000000008908 1
 
< 0.1%
som_0000000000006249 1
 
< 0.1%
Other values (9990) 9990
99.9%
2023-12-12T20:56:16.676306image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 122587
61.3%
S 10000
 
5.0%
O 10000
 
5.0%
M 10000
 
5.0%
_ 10000
 
5.0%
1 6625
 
3.3%
2 4321
 
2.2%
4 3886
 
1.9%
3 3812
 
1.9%
5 3796
 
1.9%
Other values (4) 14973
 
7.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 160000
80.0%
Uppercase Letter 30000
 
15.0%
Connector Punctuation 10000
 
5.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 122587
76.6%
1 6625
 
4.1%
2 4321
 
2.7%
4 3886
 
2.4%
3 3812
 
2.4%
5 3796
 
2.4%
6 3779
 
2.4%
8 3745
 
2.3%
9 3725
 
2.3%
7 3724
 
2.3%
Uppercase Letter
ValueCountFrequency (%)
S 10000
33.3%
O 10000
33.3%
M 10000
33.3%
Connector Punctuation
ValueCountFrequency (%)
_ 10000
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 170000
85.0%
Latin 30000
 
15.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 122587
72.1%
_ 10000
 
5.9%
1 6625
 
3.9%
2 4321
 
2.5%
4 3886
 
2.3%
3 3812
 
2.2%
5 3796
 
2.2%
6 3779
 
2.2%
8 3745
 
2.2%
9 3725
 
2.2%
Latin
ValueCountFrequency (%)
S 10000
33.3%
O 10000
33.3%
M 10000
33.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 200000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 122587
61.3%
S 10000
 
5.0%
O 10000
 
5.0%
M 10000
 
5.0%
_ 10000
 
5.0%
1 6625
 
3.3%
2 4321
 
2.2%
4 3886
 
1.9%
3 3812
 
1.9%
5 3796
 
1.9%
Other values (4) 14973
 
7.5%

위치번호
Text

Distinct9999
Distinct (%)> 99.9%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2023-12-12T20:56:16.984576image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length10
Mean length10.9636
Min length10

Characters and Unicode

Total characters109636
Distinct characters15
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique9998 ?
Unique (%)> 99.9%

Sample

1st rowDJ-US-4153
2nd rowDJ-US-5914
3rd rowDJ-US-010251
4th rowDJ-US-3875
5th rowDJ-US-010365
ValueCountFrequency (%)
dj-us-5647 2
 
< 0.1%
dj-us-010951 1
 
< 0.1%
dj-us-4020 1
 
< 0.1%
dj-us-2920 1
 
< 0.1%
dj-us-0679 1
 
< 0.1%
dj-us-5523 1
 
< 0.1%
dj-us-006778 1
 
< 0.1%
dj-us-011982 1
 
< 0.1%
dj-us-0794 1
 
< 0.1%
dj-us-010304 1
 
< 0.1%
Other values (9989) 9989
99.9%
2023-12-12T20:56:17.747103image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 20000
18.2%
0 12219
11.1%
D 10000
9.1%
J 10000
9.1%
U 10000
9.1%
S 10000
9.1%
1 6676
 
6.1%
2 4284
 
3.9%
3 3852
 
3.5%
5 3822
 
3.5%
Other values (5) 18783
17.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 49636
45.3%
Uppercase Letter 40000
36.5%
Dash Punctuation 20000
18.2%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 12219
24.6%
1 6676
13.4%
2 4284
 
8.6%
3 3852
 
7.8%
5 3822
 
7.7%
4 3808
 
7.7%
8 3777
 
7.6%
9 3762
 
7.6%
7 3745
 
7.5%
6 3691
 
7.4%
Uppercase Letter
ValueCountFrequency (%)
D 10000
25.0%
J 10000
25.0%
U 10000
25.0%
S 10000
25.0%
Dash Punctuation
ValueCountFrequency (%)
- 20000
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 69636
63.5%
Latin 40000
36.5%

Most frequent character per script

Common
ValueCountFrequency (%)
- 20000
28.7%
0 12219
17.5%
1 6676
 
9.6%
2 4284
 
6.2%
3 3852
 
5.5%
5 3822
 
5.5%
4 3808
 
5.5%
8 3777
 
5.4%
9 3762
 
5.4%
7 3745
 
5.4%
Latin
ValueCountFrequency (%)
D 10000
25.0%
J 10000
25.0%
U 10000
25.0%
S 10000
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 109636
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 20000
18.2%
0 12219
11.1%
D 10000
9.1%
J 10000
9.1%
U 10000
9.1%
S 10000
9.1%
1 6676
 
6.1%
2 4284
 
3.9%
3 3852
 
3.5%
5 3822
 
3.5%
Other values (5) 18783
17.1%

유형
Categorical

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
일반쓰레기
3347 
재활용품
3040 
음식물쓰레기
2480 
생활폐기물
1133 

Length

Max length6
Median length5
Mean length4.944
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row일반쓰레기
2nd row일반쓰레기
3rd row생활폐기물
4th row음식물쓰레기
5th row재활용품

Common Values

ValueCountFrequency (%)
일반쓰레기 3347
33.5%
재활용품 3040
30.4%
음식물쓰레기 2480
24.8%
생활폐기물 1133
 
11.3%

Length

2023-12-12T20:56:17.916779image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T20:56:18.043917image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
일반쓰레기 3347
33.5%
재활용품 3040
30.4%
음식물쓰레기 2480
24.8%
생활폐기물 1133
 
11.3%

시도
Categorical

CONSTANT 

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

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
대전 10000
100.0%

Length

2023-12-12T20:56:18.206190image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T20:56:18.326447image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
대전 10000
100.0%

시군
Categorical

CONSTANT 

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

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
유성구 10000
100.0%

Length

2023-12-12T20:56:18.435199image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T20:56:18.534012image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
유성구 10000
100.0%

동
Categorical

Distinct26
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
궁동
1089 
구암동
1058 
봉명동
838 
지족동
814 
장대동
715 
Other values (21)
5486 

Length

Max length4
Median length3
Mean length2.8613
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row죽동
2nd row원신흥동
3rd row지족동
4th row관평동
5th row신성동

Common Values

ValueCountFrequency (%)
궁동 1089
 
10.9%
구암동 1058
 
10.6%
봉명동 838
 
8.4%
지족동 814
 
8.1%
장대동 715
 
7.1%
신성동 600
 
6.0%
관평동 566
 
5.7%
죽동 532
 
5.3%
노은동 524
 
5.2%
덕명동 508
 
5.1%
Other values (16) 2756
27.6%

Length

2023-12-12T20:56:18.645247image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
궁동 1089
 
10.9%
구암동 1058
 
10.6%
봉명동 838
 
8.4%
지족동 814
 
8.1%
장대동 715
 
7.1%
신성동 600
 
6.0%
관평동 566
 
5.7%
죽동 532
 
5.3%
노은동 524
 
5.2%
덕명동 508
 
5.1%
Other values (16) 2756
27.6%

도로명주소
Text

MISSING 

Distinct1793
Distinct (%)41.4%
Missing5666
Missing (%)56.7%
Memory size156.2 KiB
2023-12-12T20:56:19.001919image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length26
Median length24
Mean length19.843563
Min length15

Characters and Unicode

Total characters86002
Distinct characters96
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique818 ?
Unique (%)18.9%

Sample

1st row대전광역시 유성구 원신흥로 37
2nd row대전광역시 유성구 지족북로 60
3rd row대전광역시 유성구 테크노중앙로 47
4th row대전광역시 유성구 도안동로 523
5th row대전광역시 유성구 전민로26번길 15
ValueCountFrequency (%)
대전광역시 4334
25.0%
유성구 4334
25.0%
16 105
 
0.6%
34 99
 
0.6%
지족로 96
 
0.6%
봉명로 90
 
0.5%
은구비남로 88
 
0.5%
배울2로 86
 
0.5%
20 78
 
0.4%
33 75
 
0.4%
Other values (952) 7951
45.9%
2023-12-12T20:56:19.511204image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
13002
15.1%
대 5369
 
6.2%
성 4841
 
5.6%
유 4664
 
5.4%
전 4607
 
5.4%
구 4605
 
5.4%
광 4334
 
5.0%
역 4334
 
5.0%
시 4334
 
5.0%
로 4309
 
5.0%
Other values (86) 31603
36.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 55213
64.2%
Decimal Number 17004
 
19.8%
Space Separator 13002
 
15.1%
Dash Punctuation 783
 
0.9%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
대 5369
9.7%
성 4841
8.8%
유 4664
8.4%
전 4607
8.3%
구 4605
8.3%
광 4334
 
7.8%
역 4334
 
7.8%
시 4334
 
7.8%
로 4309
 
7.8%
길 2690
 
4.9%
Other values (74) 11126
20.2%
Decimal Number
ValueCountFrequency (%)
1 3380
19.9%
2 2251
13.2%
3 2082
12.2%
6 1693
10.0%
4 1566
9.2%
5 1542
9.1%
7 1212
 
7.1%
9 1111
 
6.5%
0 1096
 
6.4%
8 1071
 
6.3%
Space Separator
ValueCountFrequency (%)
13002
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 783
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 55213
64.2%
Common 30789
35.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
대 5369
9.7%
성 4841
8.8%
유 4664
8.4%
전 4607
8.3%
구 4605
8.3%
광 4334
 
7.8%
역 4334
 
7.8%
시 4334
 
7.8%
로 4309
 
7.8%
길 2690
 
4.9%
Other values (74) 11126
20.2%
Common
ValueCountFrequency (%)
13002
42.2%
1 3380
 
11.0%
2 2251
 
7.3%
3 2082
 
6.8%
6 1693
 
5.5%
4 1566
 
5.1%
5 1542
 
5.0%
7 1212
 
3.9%
9 1111
 
3.6%
0 1096
 
3.6%
Other values (2) 1854
 
6.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 55213
64.2%
ASCII 30789
35.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
13002
42.2%
1 3380
 
11.0%
2 2251
 
7.3%
3 2082
 
6.8%
6 1693
 
5.5%
4 1566
 
5.1%
5 1542
 
5.0%
7 1212
 
3.9%
9 1111
 
3.6%
0 1096
 
3.6%
Other values (2) 1854
 
6.0%
Hangul
ValueCountFrequency (%)
대 5369
9.7%
성 4841
8.8%
유 4664
8.4%
전 4607
8.3%
구 4605
8.3%
광 4334
 
7.8%
역 4334
 
7.8%
시 4334
 
7.8%
로 4309
 
7.8%
길 2690
 
4.9%
Other values (74) 11126
20.2%

지번주소
Text

Distinct3505
Distinct (%)35.0%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2023-12-12T20:56:20.032903image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length18
Median length17
Mean length15.1724
Min length12

Characters and Unicode

Total characters151724
Distinct characters56
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1436 ?
Unique (%)14.4%

Sample

1st row대전 유성구 죽동 773
2nd row대전 유성구 원신흥동 495
3rd row대전 유성구 지족동 1093
4th row대전 유성구 관평동 803
5th row대전 유성구 신성동 494
ValueCountFrequency (%)
대전 10000
25.0%
유성구 10000
25.0%
궁동 1089
 
2.7%
구암동 1058
 
2.6%
봉명동 838
 
2.1%
지족동 814
 
2.0%
장대동 715
 
1.8%
신성동 600
 
1.5%
관평동 566
 
1.4%
죽동 532
 
1.3%
Other values (3120) 13817
34.5%
2023-12-12T20:56:20.800842image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
30029
19.8%
구 11058
 
7.3%
대 10915
 
7.2%
성 10600
 
7.0%
전 10401
 
6.9%
유 10000
 
6.6%
동 10000
 
6.6%
1 5791
 
3.8%
- 5480
 
3.6%
6 4549
 
3.0%
Other values (46) 42901
28.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 78642
51.8%
Decimal Number 37573
24.8%
Space Separator 30029
 
19.8%
Dash Punctuation 5480
 
3.6%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 11058
14.1%
대 10915
13.9%
성 10600
13.5%
전 10401
13.2%
유 10000
12.7%
동 10000
12.7%
명 1346
 
1.7%
궁 1089
 
1.4%
암 1058
 
1.3%
봉 1002
 
1.3%
Other values (34) 11173
14.2%
Decimal Number
ValueCountFrequency (%)
1 5791
15.4%
6 4549
12.1%
4 4122
11.0%
3 4005
10.7%
2 3935
10.5%
5 3883
10.3%
7 3076
8.2%
0 2925
7.8%
9 2753
7.3%
8 2534
6.7%
Space Separator
ValueCountFrequency (%)
30029
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 5480
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 78642
51.8%
Common 73082
48.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 11058
14.1%
대 10915
13.9%
성 10600
13.5%
전 10401
13.2%
유 10000
12.7%
동 10000
12.7%
명 1346
 
1.7%
궁 1089
 
1.4%
암 1058
 
1.3%
봉 1002
 
1.3%
Other values (34) 11173
14.2%
Common
ValueCountFrequency (%)
30029
41.1%
1 5791
 
7.9%
- 5480
 
7.5%
6 4549
 
6.2%
4 4122
 
5.6%
3 4005
 
5.5%
2 3935
 
5.4%
5 3883
 
5.3%
7 3076
 
4.2%
0 2925
 
4.0%
Other values (2) 5287
 
7.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 78642
51.8%
ASCII 73082
48.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
30029
41.1%
1 5791
 
7.9%
- 5480
 
7.5%
6 4549
 
6.2%
4 4122
 
5.6%
3 4005
 
5.5%
2 3935
 
5.4%
5 3883
 
5.3%
7 3076
 
4.2%
0 2925
 
4.0%
Other values (2) 5287
 
7.2%
Hangul
ValueCountFrequency (%)
구 11058
14.1%
대 10915
13.9%
성 10600
13.5%
전 10401
13.2%
유 10000
12.7%
동 10000
12.7%
명 1346
 
1.7%
궁 1089
 
1.4%
암 1058
 
1.3%
봉 1002
 
1.3%
Other values (34) 11173
14.2%

상세주소
Text

Distinct3601
Distinct (%)36.0%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2023-12-12T20:56:21.203597image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length30
Median length26
Mean length5.2498
Min length1

Characters and Unicode

Total characters52498
Distinct characters766
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1742 ?
Unique (%)17.4%

Sample

1st row필하우스
2nd row1009동뒤
3rd row지족동
4th row관평동
5th row밀라드커피
ValueCountFrequency (%)
지족동 810
 
6.0%
앞 761
 
5.7%
장대동 666
 
5.0%
빌라 544
 
4.1%
관평동 490
 
3.7%
옆 190
 
1.4%
반석동 188
 
1.4%
하기동 177
 
1.3%
봉산동 177
 
1.3%
학하동 163
 
1.2%
Other values (3768) 9228
68.9%
2023-12-12T20:56:21.822121image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
동 3755
 
7.2%
3398
 
6.5%
빌 1713
 
3.3%
1 1604
 
3.1%
라 1199
 
2.3%
앞 1146
 
2.2%
지 1009
 
1.9%
장 991
 
1.9%
3 943
 
1.8%
2 936
 
1.8%
Other values (756) 35804
68.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 38724
73.8%
Decimal Number 8480
 
16.2%
Space Separator 3398
 
6.5%
Dash Punctuation 912
 
1.7%
Lowercase Letter 649
 
1.2%
Uppercase Letter 276
 
0.5%
Other Punctuation 31
 
0.1%
Open Punctuation 16
 
< 0.1%
Close Punctuation 12
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 3755
 
9.7%
빌 1713
 
4.4%
라 1199
 
3.1%
앞 1146
 
3.0%
지 1009
 
2.6%
장 991
 
2.6%
대 918
 
2.4%
로 873
 
2.3%
족 823
 
2.1%
스 808
 
2.1%
Other values (691) 25489
65.8%
Lowercase Letter
ValueCountFrequency (%)
s 82
12.6%
e 71
 
10.9%
i 52
 
8.0%
l 47
 
7.2%
u 39
 
6.0%
a 36
 
5.5%
r 31
 
4.8%
c 30
 
4.6%
o 29
 
4.5%
t 28
 
4.3%
Other values (14) 204
31.4%
Uppercase Letter
ValueCountFrequency (%)
G 49
17.8%
C 42
15.2%
S 21
 
7.6%
B 18
 
6.5%
E 17
 
6.2%
H 14
 
5.1%
N 13
 
4.7%
J 13
 
4.7%
R 12
 
4.3%
D 12
 
4.3%
Other values (13) 65
23.6%
Decimal Number
ValueCountFrequency (%)
1 1604
18.9%
3 943
11.1%
2 936
11.0%
0 923
10.9%
4 743
8.8%
6 740
8.7%
7 731
8.6%
5 655
7.7%
8 622
 
7.3%
9 583
 
6.9%
Other Punctuation
ValueCountFrequency (%)
. 12
38.7%
, 8
25.8%
& 7
22.6%
/ 4
 
12.9%
Space Separator
ValueCountFrequency (%)
3398
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 912
100.0%
Open Punctuation
ValueCountFrequency (%)
( 16
100.0%
Close Punctuation
ValueCountFrequency (%)
) 12
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 38724
73.8%
Common 12849
 
24.5%
Latin 925
 
1.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 3755
 
9.7%
빌 1713
 
4.4%
라 1199
 
3.1%
앞 1146
 
3.0%
지 1009
 
2.6%
장 991
 
2.6%
대 918
 
2.4%
로 873
 
2.3%
족 823
 
2.1%
스 808
 
2.1%
Other values (691) 25489
65.8%
Latin
ValueCountFrequency (%)
s 82
 
8.9%
e 71
 
7.7%
i 52
 
5.6%
G 49
 
5.3%
l 47
 
5.1%
C 42
 
4.5%
u 39
 
4.2%
a 36
 
3.9%
r 31
 
3.4%
c 30
 
3.2%
Other values (37) 446
48.2%
Common
ValueCountFrequency (%)
3398
26.4%
1 1604
12.5%
3 943
 
7.3%
2 936
 
7.3%
0 923
 
7.2%
- 912
 
7.1%
4 743
 
5.8%
6 740
 
5.8%
7 731
 
5.7%
5 655
 
5.1%
Other values (8) 1264
 
9.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 38724
73.8%
ASCII 13774
 
26.2%

Most frequent character per block

Hangul
ValueCountFrequency (%)
동 3755
 
9.7%
빌 1713
 
4.4%
라 1199
 
3.1%
앞 1146
 
3.0%
지 1009
 
2.6%
장 991
 
2.6%
대 918
 
2.4%
로 873
 
2.3%
족 823
 
2.1%
스 808
 
2.1%
Other values (691) 25489
65.8%
ASCII
ValueCountFrequency (%)
3398
24.7%
1 1604
11.6%
3 943
 
6.8%
2 936
 
6.8%
0 923
 
6.7%
- 912
 
6.6%
4 743
 
5.4%
6 740
 
5.4%
7 731
 
5.3%
5 655
 
4.8%
Other values (55) 2189
15.9%

위도
Real number (ℝ)

Distinct9241
Distinct (%)92.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean36.367846
Minimum36.294699
Maximum36.442621
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-12T20:56:22.008895image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum36.294699
5-th percentile36.303345
Q136.352463
median36.362854
Q336.386699
95-th percentile36.425903
Maximum36.442621
Range0.147922
Interquartile range (IQR)0.03423575

Descriptive statistics

Standard deviation0.028958295
Coefficient of variation (CV)0.00079626094
Kurtosis0.71741071
Mean36.367846
Median Absolute Deviation (MAD)0.013713
Skewness0.12605623
Sum363678.46
Variance0.00083858285
MonotonicityNot monotonic
2023-12-12T20:56:22.188354image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
36.389098 4
 
< 0.1%
36.367905 3
 
< 0.1%
36.363538 3
 
< 0.1%
36.363543 3
 
< 0.1%
36.3609 3
 
< 0.1%
36.363352 3
 
< 0.1%
36.34603 3
 
< 0.1%
36.363485 3
 
< 0.1%
36.367667 3
 
< 0.1%
36.363153 3
 
< 0.1%
Other values (9231) 9969
99.7%
ValueCountFrequency (%)
36.294699 1
< 0.1%
36.294726 1
< 0.1%
36.294848 1
< 0.1%
36.294865 1
< 0.1%
36.294866 1
< 0.1%
36.294867 1
< 0.1%
36.295004 1
< 0.1%
36.295035 1
< 0.1%
36.295036 1
< 0.1%
36.295037 1
< 0.1%
ValueCountFrequency (%)
36.442621 1
< 0.1%
36.442619 1
< 0.1%
36.442464 1
< 0.1%
36.442463 1
< 0.1%
36.442462 1
< 0.1%
36.441807 1
< 0.1%
36.441806 1
< 0.1%
36.440437 1
< 0.1%
36.440262 1
< 0.1%
36.440259 1
< 0.1%

경도
Real number (ℝ)

Distinct9107
Distinct (%)91.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean127.33968
Minimum127.28975
Maximum127.40979
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-12T20:56:22.409647image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum127.28975
5-th percentile127.30287
Q1127.31859
median127.33704
Q3127.34964
95-th percentile127.39744
Maximum127.40979
Range0.120039
Interquartile range (IQR)0.031051

Descriptive statistics

Standard deviation0.027625821
Coefficient of variation (CV)0.0002169459
Kurtosis0.04075157
Mean127.33968
Median Absolute Deviation (MAD)0.0149315
Skewness0.82233685
Sum1273396.8
Variance0.00076318597
MonotonicityNot monotonic
2023-12-12T20:56:22.624414image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
127.349189 5
 
0.1%
127.343288 4
 
< 0.1%
127.33143 4
 
< 0.1%
127.35106 4
 
< 0.1%
127.337466 4
 
< 0.1%
127.351052 4
 
< 0.1%
127.349188 4
 
< 0.1%
127.337772 3
 
< 0.1%
127.348504 3
 
< 0.1%
127.386403 3
 
< 0.1%
Other values (9097) 9962
99.6%
ValueCountFrequency (%)
127.289754 1
< 0.1%
127.289755 1
< 0.1%
127.289756 1
< 0.1%
127.290209 1
< 0.1%
127.291291 1
< 0.1%
127.29156 1
< 0.1%
127.291561 1
< 0.1%
127.291562 1
< 0.1%
127.291982 1
< 0.1%
127.291983 1
< 0.1%
ValueCountFrequency (%)
127.409793 1
< 0.1%
127.409771 1
< 0.1%
127.409704 1
< 0.1%
127.409703 1
< 0.1%
127.409702 1
< 0.1%
127.409632 1
< 0.1%
127.409538 1
< 0.1%
127.409537 1
< 0.1%
127.409383 1
< 0.1%
127.40936 1
< 0.1%

사용자고유번호
Categorical

Distinct10
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
DOM_0000000000001381
1895 
DOM_0000000000013244
1463 
DOM_0000000000000034
1431 
DOM_0000000000000032
1292 
DOM_0000000000000031
950 
Other values (5)
2969 

Length

Max length20
Median length20
Mean length20
Min length20

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowDOM_0000000000013244
2nd rowDOM_0000000000007682
3rd rowDOM_0000000000001381
4th rowDOM_0000000000017478
5th rowDOM_0000000000013244

Common Values

ValueCountFrequency (%)
DOM_0000000000001381 1895
18.9%
DOM_0000000000013244 1463
14.6%
DOM_0000000000000034 1431
14.3%
DOM_0000000000000032 1292
12.9%
DOM_0000000000000031 950
9.5%
DOM_0000000000013246 920
9.2%
DOM_0000000000017477 827
8.3%
DOM_0000000000007682 604
 
6.0%
DOM_0000000000013243 515
 
5.1%
DOM_0000000000017478 103
 
1.0%

Length

2023-12-12T20:56:22.830681image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T20:56:23.004329image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
dom_0000000000001381 1895
18.9%
dom_0000000000013244 1463
14.6%
dom_0000000000000034 1431
14.3%
dom_0000000000000032 1292
12.9%
dom_0000000000000031 950
9.5%
dom_0000000000013246 920
9.2%
dom_0000000000017477 827
8.3%
dom_0000000000007682 604
 
6.0%
dom_0000000000013243 515
 
5.1%
dom_0000000000017478 103
 
1.0%

등록일
Date

Distinct4470
Distinct (%)44.7%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
Minimum2022-08-08 00:00:00
Maximum2022-10-20 14:15:00
2023-12-12T20:56:23.238661image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T20:56:23.480661image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

사용유무
Boolean

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size87.9 KiB
True
10000 
ValueCountFrequency (%)
True 10000
100.0%
2023-12-12T20:56:23.633154image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

카메라유무
Boolean

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size87.9 KiB
False
9423 
True
 
577
ValueCountFrequency (%)
False 9423
94.2%
True 577
 
5.8%
2023-12-12T20:56:23.727135image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

공공쓰레기통유무
Boolean

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size87.9 KiB
False
9776 
True
 
224
ValueCountFrequency (%)
False 9776
97.8%
True 224
 
2.2%
2023-12-12T20:56:23.820308image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

헌옷수거함유무
Boolean

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size87.9 KiB
False
8515 
True
1485 
ValueCountFrequency (%)
False 8515
85.2%
True 1485
 
14.8%
2023-12-12T20:56:23.911139image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

일반쓰레기배출요일
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
일,월,화,수,목,금
10000 

Length

Max length11
Median length11
Mean length11
Min length11

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row일,월,화,수,목,금
2nd row일,월,화,수,목,금
3rd row일,월,화,수,목,금
4th row일,월,화,수,목,금
5th row일,월,화,수,목,금

Common Values

ValueCountFrequency (%)
일,월,화,수,목,금 10000
100.0%

Length

2023-12-12T20:56:24.029099image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T20:56:24.144845image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
일,월,화,수,목,금 10000
100.0%

일반쓰레기배출시간
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
19:00~24:00
9998 
19:00~23:30
 
2

Length

Max length11
Median length11
Mean length11
Min length11

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row19:00~24:00
2nd row19:00~24:00
3rd row19:00~24:00
4th row19:00~24:00
5th row19:00~24:00

Common Values

ValueCountFrequency (%)
19:00~24:00 9998
> 99.9%
19:00~23:30 2
 
< 0.1%

Length

2023-12-12T20:56:24.268204image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T20:56:24.385939image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
19:00~24:00 9998
> 99.9%
19:00~23:30 2
 
< 0.1%

음식물쓰레기배출요일
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
일,월,화,수,목,금
10000 

Length

Max length11
Median length11
Mean length11
Min length11

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row일,월,화,수,목,금
2nd row일,월,화,수,목,금
3rd row일,월,화,수,목,금
4th row일,월,화,수,목,금
5th row일,월,화,수,목,금

Common Values

ValueCountFrequency (%)
일,월,화,수,목,금 10000
100.0%

Length

2023-12-12T20:56:24.531650image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T20:56:24.641419image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
일,월,화,수,목,금 10000
100.0%

음식물쓰레기배출시간
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
19:00~24:00
9998 
19:00~23:30
 
2

Length

Max length11
Median length11
Mean length11
Min length11

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row19:00~24:00
2nd row19:00~24:00
3rd row19:00~24:00
4th row19:00~24:00
5th row19:00~24:00

Common Values

ValueCountFrequency (%)
19:00~24:00 9998
> 99.9%
19:00~23:30 2
 
< 0.1%

Length

2023-12-12T20:56:24.774182image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T20:56:24.901723image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
19:00~24:00 9998
> 99.9%
19:00~23:30 2
 
< 0.1%

재활용품배출요일
Categorical

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
월,목
4232 
일,수
3606 
화,금
1979 
수
 
183

Length

Max length3
Median length3
Mean length2.9634
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row월,목
2nd row일,수
3rd row일,수
4th row화,금
5th row일,수

Common Values

ValueCountFrequency (%)
월,목 4232
42.3%
일,수 3606
36.1%
화,금 1979
19.8%
수 183
 
1.8%

Length

2023-12-12T20:56:25.050962image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T20:56:25.187435image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
월,목 4232
42.3%
일,수 3606
36.1%
화,금 1979
19.8%
수 183
 
1.8%

재활용품배출시간
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
19:00~24:00
9998 
19:00~23:30
 
2

Length

Max length11
Median length11
Mean length11
Min length11

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row19:00~24:00
2nd row19:00~24:00
3rd row19:00~24:00
4th row19:00~24:00
5th row19:00~24:00

Common Values

ValueCountFrequency (%)
19:00~24:00 9998
> 99.9%
19:00~23:30 2
 
< 0.1%

Length

2023-12-12T20:56:25.364553image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T20:56:25.499755image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
19:00~24:00 9998
> 99.9%
19:00~23:30 2
 
< 0.1%

미수거일
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
설날 및 추석 당일
10000 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row설날 및 추석 당일
2nd row설날 및 추석 당일
3rd row설날 및 추석 당일
4th row설날 및 추석 당일
5th row설날 및 추석 당일

Common Values

ValueCountFrequency (%)
설날 및 추석 당일 10000
100.0%

Length

2023-12-12T20:56:25.655544image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T20:56:25.787757image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
설날 10000
25.0%
및 10000
25.0%
추석 10000
25.0%
당일 10000
25.0%

이미지고유번호
Text

UNIQUE 

Distinct10000
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2023-12-12T20:56:26.017191image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length20
Mean length20
Min length20

Characters and Unicode

Total characters200000
Distinct characters14
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique10000 ?
Unique (%)100.0%

Sample

1st rowSOM_0000000000035386
2nd rowSOM_0000000000038714
3rd rowSOM_0000000000034259
4th rowSOM_0000000000034843
5th rowSOM_0000000000034490
ValueCountFrequency (%)
som_0000000000035386 1
 
< 0.1%
som_0000000000034349 1
 
< 0.1%
som_0000000000028580 1
 
< 0.1%
som_0000000000027141 1
 
< 0.1%
som_0000000000037935 1
 
< 0.1%
som_0000000000025773 1
 
< 0.1%
som_0000000000038569 1
 
< 0.1%
som_0000000000027406 1
 
< 0.1%
som_0000000000035928 1
 
< 0.1%
som_0000000000033106 1
 
< 0.1%
Other values (9990) 9990
99.9%
2023-12-12T20:56:26.450073image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 113516
56.8%
3 10839
 
5.4%
S 10000
 
5.0%
O 10000
 
5.0%
M 10000
 
5.0%
_ 10000
 
5.0%
2 6587
 
3.3%
7 4469
 
2.2%
9 4303
 
2.2%
5 4282
 
2.1%
Other values (4) 16004
 
8.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 160000
80.0%
Uppercase Letter 30000
 
15.0%
Connector Punctuation 10000
 
5.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 113516
70.9%
3 10839
 
6.8%
2 6587
 
4.1%
7 4469
 
2.8%
9 4303
 
2.7%
5 4282
 
2.7%
8 4258
 
2.7%
6 4222
 
2.6%
4 3813
 
2.4%
1 3711
 
2.3%
Uppercase Letter
ValueCountFrequency (%)
S 10000
33.3%
O 10000
33.3%
M 10000
33.3%
Connector Punctuation
ValueCountFrequency (%)
_ 10000
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 170000
85.0%
Latin 30000
 
15.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 113516
66.8%
3 10839
 
6.4%
_ 10000
 
5.9%
2 6587
 
3.9%
7 4469
 
2.6%
9 4303
 
2.5%
5 4282
 
2.5%
8 4258
 
2.5%
6 4222
 
2.5%
4 3813
 
2.2%
Latin
ValueCountFrequency (%)
S 10000
33.3%
O 10000
33.3%
M 10000
33.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 200000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 113516
56.8%
3 10839
 
5.4%
S 10000
 
5.0%
O 10000
 
5.0%
M 10000
 
5.0%
_ 10000
 
5.0%
2 6587
 
3.3%
7 4469
 
2.2%
9 4303
 
2.2%
5 4282
 
2.1%
Other values (4) 16004
 
8.0%

Sample

연번고유번호위치번호유형시도시군동도로명주소지번주소상세주소위도경도사용자고유번호등록일사용유무카메라유무공공쓰레기통유무헌옷수거함유무일반쓰레기배출요일일반쓰레기배출시간음식물쓰레기배출요일음식물쓰레기배출시간재활용품배출요일재활용품배출시간미수거일이미지고유번호
83788379SOM_0000000000008394DJ-US-4153일반쓰레기대전유성구죽동<NA>대전 유성구 죽동 773필하우스36.370094127.339391DOM_00000000000132442022-09-06 20:38YNNN일,월,화,수,목,금19:00~24:00일,월,화,수,목,금19:00~24:00월,목19:00~24:00설날 및 추석 당일SOM_0000000000035386
1142711428SOM_0000000000011443DJ-US-5914일반쓰레기대전유성구원신흥동대전광역시 유성구 원신흥로 37대전 유성구 원신흥동 4951009동뒤36.339052127.338959DOM_00000000000076822022-09-26 17:34YNNN일,월,화,수,목,금19:00~24:00일,월,화,수,목,금19:00~24:00일,수19:00~24:00설날 및 추석 당일SOM_0000000000038714
72767277SOM_0000000000007292DJ-US-010251생활폐기물대전유성구지족동대전광역시 유성구 지족북로 60대전 유성구 지족동 1093지족동36.38852127.305742DOM_00000000000013812022-09-01 18:41YNNY일,월,화,수,목,금19:00~24:00일,월,화,수,목,금19:00~24:00일,수19:00~24:00설날 및 추석 당일SOM_0000000000034259
78467847SOM_0000000000007862DJ-US-3875음식물쓰레기대전유성구관평동대전광역시 유성구 테크노중앙로 47대전 유성구 관평동 803관평동36.426878127.391338DOM_00000000000174782022-09-02 14:39YNNN일,월,화,수,목,금19:00~24:00일,월,화,수,목,금19:00~24:00화,금19:00~24:00설날 및 추석 당일SOM_0000000000034843
74957496SOM_0000000000007511DJ-US-010365재활용품대전유성구신성동<NA>대전 유성구 신성동 494밀라드커피36.393685127.352871DOM_00000000000132442022-09-01 20:28YNNN일,월,화,수,목,금19:00~24:00일,월,화,수,목,금19:00~24:00일,수19:00~24:00설날 및 추석 당일SOM_0000000000034490
56745675SOM_0000000000005689DJ-US-009482재활용품대전유성구지족동<NA>대전 유성구 지족동 960지족동36.375066127.317174DOM_00000000000013812022-08-26 7:20YNNN일,월,화,수,목,금19:00~24:00일,월,화,수,목,금19:00~24:00일,수19:00~24:00설날 및 추석 당일SOM_0000000000032491
47304731SOM_0000000000004745DJ-US-2268음식물쓰레기대전유성구신성동<NA>대전 유성구 신성동 469도모카츠36.390522127.351833DOM_00000000000132442022-08-23 21:08YNNN일,월,화,수,목,금19:00~24:00일,월,화,수,목,금19:00~24:00일,수19:00~24:00설날 및 추석 당일SOM_0000000000031408
36403641SOM_0000000000003655DJ-US-1746일반쓰레기대전유성구봉명동대전광역시 유성구 도안동로 523대전 유성구 봉명동 1021207동앞36.3495127.347326DOM_00000000000076822022-08-22 10:37YNNY일,월,화,수,목,금19:00~24:00일,월,화,수,목,금19:00~24:00월,목19:00~24:00설날 및 추석 당일SOM_0000000000029905
55375538SOM_0000000000005552DJ-US-2644일반쓰레기대전유성구궁동<NA>대전 유성구 궁동 414-11해오름36.362145127.348337DOM_00000000000000322022-08-25 18:15YNNN일,월,화,수,목,금19:00~24:00일,월,화,수,목,금19:00~24:00월,목19:00~24:00설날 및 추석 당일SOM_0000000000032333
1121311214SOM_0000000000011229DJ-US-5792일반쓰레기대전유성구상대동<NA>대전 유성구 상대동 453-3차오름푸드옆36.347281127.334613DOM_00000000000132442022-09-22 20:52YNYN일,월,화,수,목,금19:00~24:00일,월,화,수,목,금19:00~24:00월,목19:00~24:00설날 및 추석 당일SOM_0000000000038467
연번고유번호위치번호유형시도시군동도로명주소지번주소상세주소위도경도사용자고유번호등록일사용유무카메라유무공공쓰레기통유무헌옷수거함유무일반쓰레기배출요일일반쓰레기배출시간음식물쓰레기배출요일음식물쓰레기배출시간재활용품배출요일재활용품배출시간미수거일이미지고유번호
44424443SOM_0000000000004457DJ-US-008826재활용품대전유성구신성동<NA>대전 유성구 신성동 210-10조이빌라 옆36.387488127.351165DOM_00000000000132442022-08-23 19:25YNNN일,월,화,수,목,금19:00~24:00일,월,화,수,목,금19:00~24:00일,수19:00~24:00설날 및 추석 당일SOM_0000000000031040
56045605SOM_0000000000005619DJ-US-009453음식물쓰레기대전유성구궁동<NA>대전 유성구 궁동 439도담뜰36.361325127.348527DOM_00000000000000322022-08-25 18:31YNNN일,월,화,수,목,금19:00~24:00일,월,화,수,목,금19:00~24:00월,목19:00~24:00설날 및 추석 당일SOM_0000000000032416
48484849SOM_0000000000004863DJ-US-2317음식물쓰레기대전유성구원내동대전광역시 유성구 진잠로66번길 40대전 유성구 원내동 343-4진잠로66번길 4036.298007127.318909DOM_00000000000132462022-08-23 22:50YNNN일,월,화,수,목,금19:00~24:00일,월,화,수,목,금19:00~24:00일,수19:00~24:00설날 및 추석 당일SOM_0000000000031571
25242525SOM_0000000000002532DJ-US-007833재활용품대전유성구봉명동<NA>대전 유성구 봉명동 657벨포스토36.357591127.348543DOM_00000000000076822022-08-16 19:06YNNY일,월,화,수,목,금19:00~24:00일,월,화,수,목,금19:00~24:00월,목19:00~24:00설날 및 추석 당일SOM_0000000000028417
1142411425SOM_0000000000011440DJ-US-012035생활폐기물대전유성구원신흥동<NA>대전 유성구 원신흥동 493-51011동 앞36.338394127.339413DOM_00000000000000312022-09-26 17:29YNNY일,월,화,수,목,금19:00~24:00일,월,화,수,목,금19:00~24:00일,수19:00~24:00설날 및 추석 당일SOM_0000000000038711
90219022SOM_0000000000009037DJ-US-010999음식물쓰레기대전유성구지족동대전광역시 유성구 은구비로 31대전 유성구 지족동 877지족동36.376901127.31913DOM_00000000000013812022-09-08 9:03YNNY일,월,화,수,목,금19:00~24:00일,월,화,수,목,금19:00~24:00일,수19:00~24:00설날 및 추석 당일SOM_0000000000036062
1112411125SOM_0000000000011140DJ-US-5736일반쓰레기대전유성구상대동<NA>대전 유성구 상대동 495스시정36.346338127.339068DOM_00000000000132442022-09-21 19:22YYNN일,월,화,수,목,금19:00~24:00일,월,화,수,목,금19:00~24:00월,목19:00~24:00설날 및 추석 당일SOM_0000000000038371
82708271SOM_0000000000008286DJ-US-4109일반쓰레기대전유성구노은동대전광역시 유성구 은구비남로 34대전 유성구 노은동 520-1807동 12라인36.370364127.320158DOM_00000000000000312022-09-06 17:43YNNY일,월,화,수,목,금19:00~24:00일,월,화,수,목,금19:00~24:00일,수19:00~24:00설날 및 추석 당일SOM_0000000000035278
1222312224SOM_0000000000012239DJ-US-012417재활용품대전유성구궁동<NA>대전 유성구 궁동 489행복공간36.360823127.346123DOM_00000000000000342022-10-18 0:00YNNN일,월,화,수,목,금19:00~24:00일,월,화,수,목,금19:00~24:00월,목19:00~24:00설날 및 추석 당일SOM_0000000000039615
18741875SOM_0000000000001882DJ-US-0863재활용품대전유성구장대동<NA>대전 유성구 장대동 290장대동36.358549127.335061DOM_00000000000013812022-08-16 7:37YNNN일,월,화,수,목,금19:00~24:00일,월,화,수,목,금19:00~24:00일,수19:00~24:00설날 및 추석 당일SOM_0000000000027557