Overview

Dataset statistics

Number of variables8
Number of observations102
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory6.7 KiB
Average record size in memory67.3 B

Variable types

Categorical3
Text3
Numeric2

Dataset

Description강원도 춘천시에서 RFID 기술을 이용한 음식물쓰레기 종량제 처리시스템을 운영 중인 공동주택 현황으로 소재지명, 장소, 수량, 설치연도 등의 정보를 포함하고 있음
URLhttps://www.data.go.kr/data/15074355/fileData.do

Alerts

시도명 has constant value ""Constant
데이터기준일 has constant value ""Constant
설치연도 is highly overall correlated with 시군구명High correlation
시군구명 is highly overall correlated with 설치연도High correlation
시군구명 is highly imbalanced (92.1%)Imbalance
소재지명 has unique valuesUnique

Reproduction

Analysis started2023-12-12 13:31:51.241374
Analysis finished2023-12-12 13:31:52.160753
Duration0.92 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

시도명
Categorical

CONSTANT 

Distinct1
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size948.0 B
강원특별자치도
102 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
강원특별자치도 102
100.0%

Length

2023-12-12T22:31:52.224849image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T22:31:52.308924image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
강원특별자치도 102
100.0%

시군구명
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct2
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size948.0 B
춘천시
101 
춘천시
 
1

Length

Max length5
Median length3
Mean length3.0196078
Min length3

Unique

Unique1 ?
Unique (%)1.0%

Sample

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

Common Values

ValueCountFrequency (%)
춘천시 101
99.0%
춘천시 1
 
1.0%

Length

2023-12-12T22:31:52.415022image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T22:31:52.512817image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
춘천시 102
100.0%

소재지명
Text

UNIQUE 

Distinct102
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size948.0 B
2023-12-12T22:31:52.705175image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length11
Median length9
Mean length6.5392157
Min length2

Characters and Unicode

Total characters667
Distinct characters171
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

Unique102 ?
Unique (%)100.0%

Sample

1st row퇴계현진아파트
2nd row한일유앤아이아파트
3rd row후평대우아파트
4th row퇴계우성아파트
5th row이지더원 시그니처
ValueCountFrequency (%)
퇴계현진아파트 1
 
1.0%
효자코아루웰라움 1
 
1.0%
거두부영1,2단지 1
 
1.0%
후평세경3차 1
 
1.0%
아이파크 1
 
1.0%
칠전대우1차 1
 
1.0%
산수빌 1
 
1.0%
온의한주2차 1
 
1.0%
석사신도브래뉴 1
 
1.0%
세경6차 1
 
1.0%
Other values (94) 94
90.4%
2023-12-12T22:31:53.094433image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
아 36
 
5.4%
파 28
 
4.2%
차 28
 
4.2%
트 27
 
4.0%
지 19
 
2.8%
1 17
 
2.5%
2 16
 
2.4%
사 12
 
1.8%
우 12
 
1.8%
단 11
 
1.6%
Other values (161) 461
69.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 603
90.4%
Decimal Number 45
 
6.7%
Uppercase Letter 14
 
2.1%
Space Separator 2
 
0.3%
Other Punctuation 2
 
0.3%
Lowercase Letter 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
아 36
 
6.0%
파 28
 
4.6%
차 28
 
4.6%
트 27
 
4.5%
지 19
 
3.2%
사 12
 
2.0%
우 12
 
2.0%
단 11
 
1.8%
계 11
 
1.8%
두 11
 
1.8%
Other values (145) 408
67.7%
Decimal Number
ValueCountFrequency (%)
1 17
37.8%
2 16
35.6%
3 5
 
11.1%
4 2
 
4.4%
8 2
 
4.4%
6 1
 
2.2%
9 1
 
2.2%
7 1
 
2.2%
Uppercase Letter
ValueCountFrequency (%)
L 5
35.7%
H 5
35.7%
C 2
 
14.3%
E 1
 
7.1%
K 1
 
7.1%
Space Separator
ValueCountFrequency (%)
2
100.0%
Other Punctuation
ValueCountFrequency (%)
, 2
100.0%
Lowercase Letter
ValueCountFrequency (%)
e 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 603
90.4%
Common 49
 
7.3%
Latin 15
 
2.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
아 36
 
6.0%
파 28
 
4.6%
차 28
 
4.6%
트 27
 
4.5%
지 19
 
3.2%
사 12
 
2.0%
우 12
 
2.0%
단 11
 
1.8%
계 11
 
1.8%
두 11
 
1.8%
Other values (145) 408
67.7%
Common
ValueCountFrequency (%)
1 17
34.7%
2 16
32.7%
3 5
 
10.2%
2
 
4.1%
, 2
 
4.1%
4 2
 
4.1%
8 2
 
4.1%
6 1
 
2.0%
9 1
 
2.0%
7 1
 
2.0%
Latin
ValueCountFrequency (%)
L 5
33.3%
H 5
33.3%
C 2
 
13.3%
E 1
 
6.7%
K 1
 
6.7%
e 1
 
6.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 603
90.4%
ASCII 64
 
9.6%

Most frequent character per block

Hangul
ValueCountFrequency (%)
아 36
 
6.0%
파 28
 
4.6%
차 28
 
4.6%
트 27
 
4.5%
지 19
 
3.2%
사 12
 
2.0%
우 12
 
2.0%
단 11
 
1.8%
계 11
 
1.8%
두 11
 
1.8%
Other values (145) 408
67.7%
ASCII
ValueCountFrequency (%)
1 17
26.6%
2 16
25.0%
L 5
 
7.8%
H 5
 
7.8%
3 5
 
7.8%
2
 
3.1%
, 2
 
3.1%
C 2
 
3.1%
4 2
 
3.1%
8 2
 
3.1%
Other values (6) 6
 
9.4%

소재지도로명주소
Text

Distinct99
Distinct (%)97.1%
Missing0
Missing (%)0.0%
Memory size948.0 B
2023-12-12T22:31:53.369632image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length43
Median length37
Mean length30.303922
Min length18

Characters and Unicode

Total characters3091
Distinct characters190
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

Unique96 ?
Unique (%)94.1%

Sample

1st row강원특별자치도 춘천시 춘주로 150
2nd row강원특별자치도 춘천시 동면 만천로 107
3rd row강원특별자치도 춘천시 후만로126번길 31
4th row강원특별자치도 춘천시 국사봉길 7
5th row강원특별자치도 춘천시 우두1길 70
ValueCountFrequency (%)
강원특별자치도 102
20.7%
춘천시 102
20.7%
동면 9
 
1.8%
동내면 8
 
1.6%
공지로 6
 
1.2%
영서로 6
 
1.2%
거두택지길 5
 
1.0%
스포츠타운길 5
 
1.0%
후석로326번길 5
 
1.0%
안마산로 4
 
0.8%
Other values (209) 241
48.9%
2023-12-12T22:31:53.794917image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
391
 
12.6%
천 123
 
4.0%
춘 118
 
3.8%
자 108
 
3.5%
강 108
 
3.5%
치 106
 
3.4%
시 105
 
3.4%
도 103
 
3.3%
별 102
 
3.3%
특 102
 
3.3%
Other values (180) 1725
55.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2142
69.3%
Space Separator 391
 
12.6%
Decimal Number 357
 
11.5%
Close Punctuation 67
 
2.2%
Open Punctuation 67
 
2.2%
Other Punctuation 52
 
1.7%
Dash Punctuation 11
 
0.4%
Uppercase Letter 3
 
0.1%
Lowercase Letter 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
천 123
 
5.7%
춘 118
 
5.5%
자 108
 
5.0%
강 108
 
5.0%
치 106
 
4.9%
시 105
 
4.9%
도 103
 
4.8%
별 102
 
4.8%
특 102
 
4.8%
원 102
 
4.8%
Other values (162) 1065
49.7%
Decimal Number
ValueCountFrequency (%)
1 78
21.8%
2 59
16.5%
3 37
10.4%
6 34
9.5%
0 30
 
8.4%
7 26
 
7.3%
9 26
 
7.3%
5 25
 
7.0%
4 23
 
6.4%
8 19
 
5.3%
Uppercase Letter
ValueCountFrequency (%)
C 2
66.7%
K 1
33.3%
Space Separator
ValueCountFrequency (%)
391
100.0%
Close Punctuation
ValueCountFrequency (%)
) 67
100.0%
Open Punctuation
ValueCountFrequency (%)
( 67
100.0%
Other Punctuation
ValueCountFrequency (%)
, 52
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 11
100.0%
Lowercase Letter
ValueCountFrequency (%)
e 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2142
69.3%
Common 945
30.6%
Latin 4
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
천 123
 
5.7%
춘 118
 
5.5%
자 108
 
5.0%
강 108
 
5.0%
치 106
 
4.9%
시 105
 
4.9%
도 103
 
4.8%
별 102
 
4.8%
특 102
 
4.8%
원 102
 
4.8%
Other values (162) 1065
49.7%
Common
ValueCountFrequency (%)
391
41.4%
1 78
 
8.3%
) 67
 
7.1%
( 67
 
7.1%
2 59
 
6.2%
, 52
 
5.5%
3 37
 
3.9%
6 34
 
3.6%
0 30
 
3.2%
7 26
 
2.8%
Other values (5) 104
 
11.0%
Latin
ValueCountFrequency (%)
C 2
50.0%
e 1
25.0%
K 1
25.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2142
69.3%
ASCII 949
30.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
391
41.2%
1 78
 
8.2%
) 67
 
7.1%
( 67
 
7.1%
2 59
 
6.2%
, 52
 
5.5%
3 37
 
3.9%
6 34
 
3.6%
0 30
 
3.2%
7 26
 
2.7%
Other values (8) 108
 
11.4%
Hangul
ValueCountFrequency (%)
천 123
 
5.7%
춘 118
 
5.5%
자 108
 
5.0%
강 108
 
5.0%
치 106
 
4.9%
시 105
 
4.9%
도 103
 
4.8%
별 102
 
4.8%
특 102
 
4.8%
원 102
 
4.8%
Other values (162) 1065
49.7%

소재지지번주소
Text

Distinct100
Distinct (%)98.0%
Missing0
Missing (%)0.0%
Memory size948.0 B
2023-12-12T22:31:54.069649image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length37
Median length32.5
Mean length26.862745
Min length18

Characters and Unicode

Total characters2740
Distinct characters166
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

Unique98 ?
Unique (%)96.1%

Sample

1st row강원특별자치도 춘천시 퇴계동 916-1
2nd row강원특별자치도 춘천시 동면 971
3rd row강원특별자치도 춘천시 후평동 867
4th row강원특별자치도 춘천시 퇴계동 430
5th row강원특별자치도 춘천시 우두동 1089
ValueCountFrequency (%)
강원특별자치도 102
20.2%
춘천시 102
20.2%
후평동 15
 
3.0%
퇴계동 14
 
2.8%
석사동 14
 
2.8%
동면 9
 
1.8%
우두동 9
 
1.8%
동내면 7
 
1.4%
온의동 7
 
1.4%
거두리 6
 
1.2%
Other values (185) 219
43.5%
2023-12-12T22:31:54.525943image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
402
 
14.7%
천 122
 
4.5%
춘 114
 
4.2%
자 108
 
3.9%
치 106
 
3.9%
시 105
 
3.8%
강 105
 
3.8%
도 103
 
3.8%
별 102
 
3.7%
특 102
 
3.7%
Other values (156) 1371
50.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1901
69.4%
Space Separator 402
 
14.7%
Decimal Number 391
 
14.3%
Dash Punctuation 39
 
1.4%
Uppercase Letter 3
 
0.1%
Open Punctuation 1
 
< 0.1%
Close Punctuation 1
 
< 0.1%
Other Punctuation 1
 
< 0.1%
Lowercase Letter 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
천 122
 
6.4%
춘 114
 
6.0%
자 108
 
5.7%
치 106
 
5.6%
시 105
 
5.5%
강 105
 
5.5%
도 103
 
5.4%
별 102
 
5.4%
특 102
 
5.4%
원 102
 
5.4%
Other values (138) 832
43.8%
Decimal Number
ValueCountFrequency (%)
1 83
21.2%
2 46
11.8%
9 42
10.7%
8 39
10.0%
0 37
9.5%
5 34
8.7%
7 33
 
8.4%
4 29
 
7.4%
3 27
 
6.9%
6 21
 
5.4%
Uppercase Letter
ValueCountFrequency (%)
C 2
66.7%
K 1
33.3%
Space Separator
ValueCountFrequency (%)
402
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 39
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%
Other Punctuation
ValueCountFrequency (%)
, 1
100.0%
Lowercase Letter
ValueCountFrequency (%)
e 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1901
69.4%
Common 835
30.5%
Latin 4
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
천 122
 
6.4%
춘 114
 
6.0%
자 108
 
5.7%
치 106
 
5.6%
시 105
 
5.5%
강 105
 
5.5%
도 103
 
5.4%
별 102
 
5.4%
특 102
 
5.4%
원 102
 
5.4%
Other values (138) 832
43.8%
Common
ValueCountFrequency (%)
402
48.1%
1 83
 
9.9%
2 46
 
5.5%
9 42
 
5.0%
- 39
 
4.7%
8 39
 
4.7%
0 37
 
4.4%
5 34
 
4.1%
7 33
 
4.0%
4 29
 
3.5%
Other values (5) 51
 
6.1%
Latin
ValueCountFrequency (%)
C 2
50.0%
K 1
25.0%
e 1
25.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1901
69.4%
ASCII 839
30.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
402
47.9%
1 83
 
9.9%
2 46
 
5.5%
9 42
 
5.0%
- 39
 
4.6%
8 39
 
4.6%
0 37
 
4.4%
5 34
 
4.1%
7 33
 
3.9%
4 29
 
3.5%
Other values (8) 55
 
6.6%
Hangul
ValueCountFrequency (%)
천 122
 
6.4%
춘 114
 
6.0%
자 108
 
5.7%
치 106
 
5.6%
시 105
 
5.5%
강 105
 
5.5%
도 103
 
5.4%
별 102
 
5.4%
특 102
 
5.4%
원 102
 
5.4%
Other values (138) 832
43.8%

장비수량
Real number (ℝ)

Distinct22
Distinct (%)21.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8.7843137
Minimum1
Maximum48
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-12T22:31:54.697807image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q14
median6.5
Q311
95-th percentile24.75
Maximum48
Range47
Interquartile range (IQR)7

Descriptive statistics

Standard deviation7.466927
Coefficient of variation (CV)0.85002964
Kurtosis7.5413419
Mean8.7843137
Median Absolute Deviation (MAD)3.5
Skewness2.2536256
Sum896
Variance55.754999
MonotonicityNot monotonic
2023-12-12T22:31:54.827870image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=22)
ValueCountFrequency (%)
6 15
14.7%
2 13
12.7%
4 8
 
7.8%
10 7
 
6.9%
9 6
 
5.9%
3 6
 
5.9%
7 6
 
5.9%
14 5
 
4.9%
5 5
 
4.9%
12 5
 
4.9%
Other values (12) 26
25.5%
ValueCountFrequency (%)
1 4
 
3.9%
2 13
12.7%
3 6
 
5.9%
4 8
7.8%
5 5
 
4.9%
6 15
14.7%
7 6
 
5.9%
8 4
 
3.9%
9 6
 
5.9%
10 7
6.9%
ValueCountFrequency (%)
48 1
 
1.0%
31 1
 
1.0%
29 1
 
1.0%
26 2
 
2.0%
25 1
 
1.0%
20 3
2.9%
18 1
 
1.0%
16 4
3.9%
14 5
4.9%
13 1
 
1.0%

설치연도
Real number (ℝ)

HIGH CORRELATION 

Distinct9
Distinct (%)8.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2018.3627
Minimum2015
Maximum2023
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-12T22:31:54.942260image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2015
5-th percentile2016
Q12017
median2019
Q32020
95-th percentile2021
Maximum2023
Range8
Interquartile range (IQR)3

Descriptive statistics

Standard deviation1.7620264
Coefficient of variation (CV)0.00087299787
Kurtosis-0.74440916
Mean2018.3627
Median Absolute Deviation (MAD)1
Skewness0.13823952
Sum205873
Variance3.1047369
MonotonicityDecreasing
2023-12-12T22:31:55.061048image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
2019 24
23.5%
2020 22
21.6%
2016 20
19.6%
2017 17
16.7%
2018 10
9.8%
2021 4
 
3.9%
2022 3
 
2.9%
2023 1
 
1.0%
2015 1
 
1.0%
ValueCountFrequency (%)
2015 1
 
1.0%
2016 20
19.6%
2017 17
16.7%
2018 10
9.8%
2019 24
23.5%
2020 22
21.6%
2021 4
 
3.9%
2022 3
 
2.9%
2023 1
 
1.0%
ValueCountFrequency (%)
2023 1
 
1.0%
2022 3
 
2.9%
2021 4
 
3.9%
2020 22
21.6%
2019 24
23.5%
2018 10
9.8%
2017 17
16.7%
2016 20
19.6%
2015 1
 
1.0%

데이터기준일
Categorical

CONSTANT 

Distinct1
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size948.0 B
2023-08-23
102 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2023-08-23
2nd row2023-08-23
3rd row2023-08-23
4th row2023-08-23
5th row2023-08-23

Common Values

ValueCountFrequency (%)
2023-08-23 102
100.0%

Length

2023-12-12T22:31:55.221188image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T22:31:55.306197image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2023-08-23 102
100.0%

Interactions

2023-12-12T22:31:51.810293image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T22:31:51.647159image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T22:31:51.900200image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T22:31:51.726599image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T22:31:55.367497image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
시군구명소재지도로명주소소재지지번주소장비수량설치연도
시군구명1.0001.0001.0000.0000.690
소재지도로명주소1.0001.0001.0000.9110.973
소재지지번주소1.0001.0001.0000.8830.988
장비수량0.0000.9110.8831.0000.259
설치연도0.6900.9730.9880.2591.000
2023-12-12T22:31:55.457696image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
장비수량설치연도시군구명
장비수량1.000-0.0330.000
설치연도-0.0331.0000.500
시군구명0.0000.5001.000

Missing values

2023-12-12T22:31:52.014946image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T22:31:52.119748image/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

시도명시군구명소재지명소재지도로명주소소재지지번주소장비수량설치연도데이터기준일
0강원특별자치도춘천시퇴계현진아파트강원특별자치도 춘천시 춘주로 150강원특별자치도 춘천시 퇴계동 916-1120232023-08-23
1강원특별자치도춘천시한일유앤아이아파트강원특별자치도 춘천시 동면 만천로 107강원특별자치도 춘천시 동면 971420222023-08-23
2강원특별자치도춘천시후평대우아파트강원특별자치도 춘천시 후만로126번길 31강원특별자치도 춘천시 후평동 867120222023-08-23
3강원특별자치도춘천시퇴계우성아파트강원특별자치도 춘천시 국사봉길 7강원특별자치도 춘천시 퇴계동 430320222023-08-23
4강원특별자치도춘천시이지더원 시그니처강원특별자치도 춘천시 우두1길 70강원특별자치도 춘천시 우두동 10892020212023-08-23
5강원특별자치도춘천시약사지구모아엘가센텀뷰강원특별자치도 춘천시 춘천로81번길 20강원특별자치도 춘천시 약사동 77번지1020212023-08-23
6강원특별자치도춘천시센트럴파크 푸르지오강원특별자치도 춘천시 스포츠타운길 501강원특별자치도 춘천시 온의동 산44-12620212023-08-23
7강원특별자치도춘천시천년나무3단지강원특별자치도 춘천시 우두1길 40강원특별자치도 춘천시 우두동 10881020212023-08-23
8강원특별자치도춘천시현대4차아파트강원특별자치도 춘천시 후석로326번길 44(후평동, 현대4차아파트)강원특별자치도 춘천시 후평동 901 현대4차아파트220202023-08-23
9강원특별자치도춘천시근화엘타워1차강원특별자치도 춘천시 공지로 455강원특별자치도 춘천시 근화동 267-1220202023-08-23
시도명시군구명소재지명소재지도로명주소소재지지번주소장비수량설치연도데이터기준일
92강원특별자치도춘천시만천대동다숲강원특별자치도 춘천시 동면 후석로326번길 63(대동다숲아파트)강원특별자치도 춘천시 동면 만천리 973 대동다숲아파트720162023-08-23
93강원특별자치도춘천시칠전부영강원특별자치도 춘천시 칠전서길 45강원특별자치도 춘천시 칠전동 529-2720162023-08-23
94강원특별자치도춘천시온의금호1차강원특별자치도 춘천시 스포츠타운길 535강원특별자치도 춘천시 온의동 65-10920162023-08-23
95강원특별자치도춘천시장학부영강원특별자치도 춘천시 동면 소양강로 104(춘천장학사랑으로부영아파트)강원특별자치도 춘천시 동면 장학리 993 춘천장학사랑으로부영아파트1220162023-08-23
96강원특별자치도춘천시퇴계휴먼시아1단지강원특별자치도 춘천시 남춘천새길 11(퇴계동, 휴먼시아 남춘천1단지아파트)강원특별자치도 춘천시 퇴계동 1097 휴먼시아 남춘천1단지아파트1420162023-08-23
97강원특별자치도춘천시석사대우강원특별자치도 춘천시 우석로 101번길 86강원특별자치도 춘천시 석사동 721-21820162023-08-23
98강원특별자치도춘천시근화신성미소지움강원특별자치도 춘천시 근화길15번길 26강원특별자치도 춘천시 근화동 279-82520162023-08-23
99강원특별자치도춘천시후평더샵강원특별자치도 춘천시 후석로 325강원특별자치도 춘천시 후평동 9042620162023-08-23
100강원특별자치도춘천시춘천e편한세상강원특별자치도 춘천시 서부대성로 33강원특별자치도 춘천시 소양로2가 1833120162023-08-23
101강원특별자치도춘천시뉴시티코아루강원특별자치도 춘천시 영서로 2922강원특별자치도 춘천시 사농동 820920152023-08-23