Overview

Dataset statistics

Number of variables9
Number of observations36
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory2.7 KiB
Average record size in memory77.7 B

Variable types

Categorical3
Text3
Numeric2
DateTime1

Dataset

Description강원도 춘천시의 행정사업 신고 현황으로 사무소명, 자격종류, 도로명주소, 지번주소, 위도, 경도에 대한 자료. 실제 영업중인지는 확인할 수 없음.
Author강원도 춘천시
URLhttps://www.data.go.kr/data/15074345/fileData.do

Alerts

시도명 has constant value ""Constant
시군구명 has constant value ""Constant
자격종류 has constant value ""Constant
데이터기준일자 has constant value ""Constant
사무소명 has unique valuesUnique
도로명주소 has unique valuesUnique
지번주소 has unique valuesUnique

Reproduction

Analysis started2023-12-12 03:42:44.138966
Analysis finished2023-12-12 03:42:45.301684
Duration1.16 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

시도명
Categorical

CONSTANT 

Distinct1
Distinct (%)2.8%
Missing0
Missing (%)0.0%
Memory size420.0 B
강원도
36 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
강원도 36
100.0%

Length

2023-12-12T12:42:45.372648image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T12:42:45.482454image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
강원도 36
100.0%

시군구명
Categorical

CONSTANT 

Distinct1
Distinct (%)2.8%
Missing0
Missing (%)0.0%
Memory size420.0 B
춘천시
36 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
춘천시 36
100.0%

Length

2023-12-12T12:42:45.609211image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T12:42:45.713108image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
춘천시 36
100.0%

사무소명
Text

UNIQUE 

Distinct36
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size420.0 B
2023-12-12T12:42:45.915603image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length17
Median length9
Mean length9.1388889
Min length2

Characters and Unicode

Total characters329
Distinct characters90
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique36 ?
Unique (%)100.0%

Sample

1st row행정사 김수용 사무소
2nd row엠브이피파트너스 행정법률 사무소
3rd row유도현 행정사 사무소
4th row참토지개발전문행정사
5th row선우
ValueCountFrequency (%)
행정사 8
 
14.0%
사무소 8
 
14.0%
행정사사무소 3
 
5.3%
삼성행정사 1
 
1.8%
길성표행정사사무소 1
 
1.8%
행정사이순열사무소 1
 
1.8%
안승규행정사 1
 
1.8%
한근식행정사사무소 1
 
1.8%
행정사최광택사무소 1
 
1.8%
행정사차태환사무소 1
 
1.8%
Other values (31) 31
54.4%
2023-12-12T12:42:46.317309image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
사 67
20.4%
정 36
 
10.9%
행 35
 
10.6%
소 32
 
9.7%
무 32
 
9.7%
21
 
6.4%
이 5
 
1.5%
김 4
 
1.2%
기 3
 
0.9%
조 2
 
0.6%
Other values (80) 92
28.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 308
93.6%
Space Separator 21
 
6.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
사 67
21.8%
정 36
 
11.7%
행 35
 
11.4%
소 32
 
10.4%
무 32
 
10.4%
이 5
 
1.6%
김 4
 
1.3%
기 3
 
1.0%
조 2
 
0.6%
표 2
 
0.6%
Other values (79) 90
29.2%
Space Separator
ValueCountFrequency (%)
21
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 308
93.6%
Common 21
 
6.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
사 67
21.8%
정 36
 
11.7%
행 35
 
11.4%
소 32
 
10.4%
무 32
 
10.4%
이 5
 
1.6%
김 4
 
1.3%
기 3
 
1.0%
조 2
 
0.6%
표 2
 
0.6%
Other values (79) 90
29.2%
Common
ValueCountFrequency (%)
21
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 308
93.6%
ASCII 21
 
6.4%

Most frequent character per block

Hangul
ValueCountFrequency (%)
사 67
21.8%
정 36
 
11.7%
행 35
 
11.4%
소 32
 
10.4%
무 32
 
10.4%
이 5
 
1.6%
김 4
 
1.3%
기 3
 
1.0%
조 2
 
0.6%
표 2
 
0.6%
Other values (79) 90
29.2%
ASCII
ValueCountFrequency (%)
21
100.0%

자격종류
Categorical

CONSTANT 

Distinct1
Distinct (%)2.8%
Missing0
Missing (%)0.0%
Memory size420.0 B
일반행정사
36 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
일반행정사 36
100.0%

Length

2023-12-12T12:42:46.459861image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T12:42:46.581352image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
일반행정사 36
100.0%

도로명주소
Text

UNIQUE 

Distinct36
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size420.0 B
2023-12-12T12:42:46.827240image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length48
Median length36.5
Mean length25.277778
Min length18

Characters and Unicode

Total characters910
Distinct characters110
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique36 ?
Unique (%)100.0%

Sample

1st row강원도 춘천시 공단로 18， 2층 202호(후평동)
2nd row강원도 춘천시 안마산로 110， 4층(퇴계동)
3rd row강원도 춘천시 남춘천새길 6， 103호 (퇴계동)
4th row강원도 춘천시 동내면 학곡동1길 14
5th row강원도 춘천시 동면 공단로70번길 226
ValueCountFrequency (%)
강원도 36
 
17.8%
춘천시 36
 
17.8%
효자동 10
 
5.0%
공지로 7
 
3.5%
안마산로 3
 
1.5%
동내면 3
 
1.5%
퇴계동 3
 
1.5%
신동면 2
 
1.0%
후평동 2
 
1.0%
석사동 2
 
1.0%
Other values (93) 98
48.5%
2023-12-12T12:42:47.292750image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
166
18.2%
춘 44
 
4.8%
천 42
 
4.6%
동 39
 
4.3%
시 38
 
4.2%
강 36
 
4.0%
원 36
 
4.0%
도 36
 
4.0%
1 33
 
3.6%
( 28
 
3.1%
Other values (100) 412
45.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 533
58.6%
Space Separator 166
 
18.2%
Decimal Number 134
 
14.7%
Open Punctuation 28
 
3.1%
Close Punctuation 28
 
3.1%
Other Punctuation 16
 
1.8%
Dash Punctuation 4
 
0.4%
Lowercase Letter 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
춘 44
 
8.3%
천 42
 
7.9%
동 39
 
7.3%
시 38
 
7.1%
강 36
 
6.8%
원 36
 
6.8%
도 36
 
6.8%
로 27
 
5.1%
길 13
 
2.4%
자 12
 
2.3%
Other values (83) 210
39.4%
Decimal Number
ValueCountFrequency (%)
1 33
24.6%
2 21
15.7%
0 13
 
9.7%
7 13
 
9.7%
6 12
 
9.0%
9 11
 
8.2%
3 11
 
8.2%
4 9
 
6.7%
5 6
 
4.5%
8 5
 
3.7%
Other Punctuation
ValueCountFrequency (%)
， 14
87.5%
, 2
 
12.5%
Space Separator
ValueCountFrequency (%)
166
100.0%
Open Punctuation
ValueCountFrequency (%)
( 28
100.0%
Close Punctuation
ValueCountFrequency (%)
) 28
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 4
100.0%
Lowercase Letter
ValueCountFrequency (%)
e 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 533
58.6%
Common 376
41.3%
Latin 1
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
춘 44
 
8.3%
천 42
 
7.9%
동 39
 
7.3%
시 38
 
7.1%
강 36
 
6.8%
원 36
 
6.8%
도 36
 
6.8%
로 27
 
5.1%
길 13
 
2.4%
자 12
 
2.3%
Other values (83) 210
39.4%
Common
ValueCountFrequency (%)
166
44.1%
1 33
 
8.8%
( 28
 
7.4%
) 28
 
7.4%
2 21
 
5.6%
， 14
 
3.7%
0 13
 
3.5%
7 13
 
3.5%
6 12
 
3.2%
9 11
 
2.9%
Other values (6) 37
 
9.8%
Latin
ValueCountFrequency (%)
e 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 533
58.6%
ASCII 363
39.9%
None 14
 
1.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
166
45.7%
1 33
 
9.1%
( 28
 
7.7%
) 28
 
7.7%
2 21
 
5.8%
0 13
 
3.6%
7 13
 
3.6%
6 12
 
3.3%
9 11
 
3.0%
3 11
 
3.0%
Other values (6) 27
 
7.4%
Hangul
ValueCountFrequency (%)
춘 44
 
8.3%
천 42
 
7.9%
동 39
 
7.3%
시 38
 
7.1%
강 36
 
6.8%
원 36
 
6.8%
도 36
 
6.8%
로 27
 
5.1%
길 13
 
2.4%
자 12
 
2.3%
Other values (83) 210
39.4%
None
ValueCountFrequency (%)
， 14
100.0%

지번주소
Text

UNIQUE 

Distinct36
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size420.0 B
2023-12-12T12:42:47.553898image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length46
Median length40
Mean length23.083333
Min length16

Characters and Unicode

Total characters831
Distinct characters85
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

Unique36 ?
Unique (%)100.0%

Sample

1st row강원도 춘천시 후평동 291-18 2층 202호
2nd row 강원도 춘천시 퇴계동 529-1, 4층
3rd row강원도 춘천시 퇴계동 1113, 103호
4th row강원도 춘천시 동내면 학곡리 293-38
5th row강원도 춘천시 동면 장학리 607번지 6호
ValueCountFrequency (%)
강원도 36
18.4%
춘천시 36
18.4%
효자동 12
 
6.1%
퇴계동 6
 
3.1%
후평동 4
 
2.0%
1호 4
 
2.0%
동내면 3
 
1.5%
6호 3
 
1.5%
학곡리 3
 
1.5%
14호 2
 
1.0%
Other values (78) 87
44.4%
2023-12-12T12:42:47.975280image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
164
19.7%
춘 38
 
4.6%
천 38
 
4.6%
시 38
 
4.6%
동 37
 
4.5%
강 36
 
4.3%
1 36
 
4.3%
원 36
 
4.3%
도 36
 
4.3%
지 27
 
3.2%
Other values (75) 345
41.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 485
58.4%
Decimal Number 172
 
20.7%
Space Separator 164
 
19.7%
Dash Punctuation 7
 
0.8%
Other Punctuation 2
 
0.2%
Lowercase Letter 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
춘 38
 
7.8%
천 38
 
7.8%
시 38
 
7.8%
동 37
 
7.6%
강 36
 
7.4%
원 36
 
7.4%
도 36
 
7.4%
지 27
 
5.6%
호 25
 
5.2%
번 24
 
4.9%
Other values (61) 150
30.9%
Decimal Number
ValueCountFrequency (%)
1 36
20.9%
0 25
14.5%
2 19
11.0%
7 17
9.9%
8 15
8.7%
9 14
 
8.1%
4 12
 
7.0%
6 12
 
7.0%
3 12
 
7.0%
5 10
 
5.8%
Space Separator
ValueCountFrequency (%)
164
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 7
100.0%
Other Punctuation
ValueCountFrequency (%)
, 2
100.0%
Lowercase Letter
ValueCountFrequency (%)
e 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 485
58.4%
Common 345
41.5%
Latin 1
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
춘 38
 
7.8%
천 38
 
7.8%
시 38
 
7.8%
동 37
 
7.6%
강 36
 
7.4%
원 36
 
7.4%
도 36
 
7.4%
지 27
 
5.6%
호 25
 
5.2%
번 24
 
4.9%
Other values (61) 150
30.9%
Common
ValueCountFrequency (%)
164
47.5%
1 36
 
10.4%
0 25
 
7.2%
2 19
 
5.5%
7 17
 
4.9%
8 15
 
4.3%
9 14
 
4.1%
4 12
 
3.5%
6 12
 
3.5%
3 12
 
3.5%
Other values (3) 19
 
5.5%
Latin
ValueCountFrequency (%)
e 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 485
58.4%
ASCII 346
41.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
164
47.4%
1 36
 
10.4%
0 25
 
7.2%
2 19
 
5.5%
7 17
 
4.9%
8 15
 
4.3%
9 14
 
4.0%
4 12
 
3.5%
6 12
 
3.5%
3 12
 
3.5%
Other values (4) 20
 
5.8%
Hangul
ValueCountFrequency (%)
춘 38
 
7.8%
천 38
 
7.8%
시 38
 
7.8%
동 37
 
7.6%
강 36
 
7.4%
원 36
 
7.4%
도 36
 
7.4%
지 27
 
5.6%
호 25
 
5.2%
번 24
 
4.9%
Other values (61) 150
30.9%

위도
Real number (ℝ)

Distinct35
Distinct (%)97.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean37.857782
Minimum37.75016
Maximum37.911043
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size456.0 B
2023-12-12T12:42:48.183159image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum37.75016
5-th percentile37.815464
Q137.847884
median37.866117
Q337.871005
95-th percentile37.891188
Maximum37.911043
Range0.160883
Interquartile range (IQR)0.02312125

Descriptive statistics

Standard deviation0.029004675
Coefficient of variation (CV)0.00076614829
Kurtosis5.0630576
Mean37.857782
Median Absolute Deviation (MAD)0.0109755
Skewness-1.6878898
Sum1362.8801
Variance0.00084127116
MonotonicityNot monotonic
2023-12-12T12:42:48.373386image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=35)
ValueCountFrequency (%)
37.843197 2
 
5.6%
37.887591 1
 
2.8%
37.854191 1
 
2.8%
37.849446 1
 
2.8%
37.873624 1
 
2.8%
37.75016 1
 
2.8%
37.830154 1
 
2.8%
37.788298 1
 
2.8%
37.877062 1
 
2.8%
37.86617 1
 
2.8%
Other values (25) 25
69.4%
ValueCountFrequency (%)
37.75016 1
2.8%
37.788298 1
2.8%
37.82452 1
2.8%
37.830154 1
2.8%
37.834472 1
2.8%
37.834575 1
2.8%
37.83572 1
2.8%
37.843197 2
5.6%
37.849446 1
2.8%
37.850546 1
2.8%
ValueCountFrequency (%)
37.911043 1
2.8%
37.901978 1
2.8%
37.887591 1
2.8%
37.885238 1
2.8%
37.877123 1
2.8%
37.877062 1
2.8%
37.873729 1
2.8%
37.873636 1
2.8%
37.873624 1
2.8%
37.870132 1
2.8%

경도
Real number (ℝ)

Distinct35
Distinct (%)97.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean127.73372
Minimum127.64692
Maximum127.76189
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size456.0 B
2023-12-12T12:42:48.622099image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum127.64692
5-th percentile127.71233
Q1127.72899
median127.73416
Q3127.74254
95-th percentile127.76148
Maximum127.76189
Range0.114966
Interquartile range (IQR)0.01355525

Descriptive statistics

Standard deviation0.019840862
Coefficient of variation (CV)0.00015532987
Kurtosis9.9132587
Mean127.73372
Median Absolute Deviation (MAD)0.006807
Skewness-2.3501636
Sum4598.414
Variance0.00039365981
MonotonicityNot monotonic
2023-12-12T12:42:48.827826image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=35)
ValueCountFrequency (%)
127.715306 2
 
5.6%
127.750142 1
 
2.8%
127.727285 1
 
2.8%
127.739773 1
 
2.8%
127.746591 1
 
2.8%
127.703417 1
 
2.8%
127.761885 1
 
2.8%
127.646919 1
 
2.8%
127.727614 1
 
2.8%
127.734564 1
 
2.8%
Other values (25) 25
69.4%
ValueCountFrequency (%)
127.646919 1
2.8%
127.703417 1
2.8%
127.715306 2
5.6%
127.71663 1
2.8%
127.726114 1
2.8%
127.727285 1
2.8%
127.727419 1
2.8%
127.727614 1
2.8%
127.729442 1
2.8%
127.729478 1
2.8%
ValueCountFrequency (%)
127.761885 1
2.8%
127.761576 1
2.8%
127.761447 1
2.8%
127.754065 1
2.8%
127.75168 1
2.8%
127.751332 1
2.8%
127.750142 1
2.8%
127.746591 1
2.8%
127.743867 1
2.8%
127.742098 1
2.8%

데이터기준일자
Date

CONSTANT 

Distinct1
Distinct (%)2.8%
Missing0
Missing (%)0.0%
Memory size420.0 B
Minimum2022-05-13 00:00:00
Maximum2022-05-13 00:00:00
2023-12-12T12:42:48.965616image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T12:42:49.076223image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Interactions

2023-12-12T12:42:44.804107image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T12:42:44.528013image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T12:42:44.923453image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T12:42:44.679937image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T12:42:49.175791image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
사무소명도로명주소지번주소위도경도
사무소명1.0001.0001.0001.0001.000
도로명주소1.0001.0001.0001.0001.000
지번주소1.0001.0001.0001.0001.000
위도1.0001.0001.0001.0000.804
경도1.0001.0001.0000.8041.000
2023-12-12T12:42:49.318545image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
위도경도
위도1.0000.117
경도0.1171.000

Missing values

2023-12-12T12:42:45.071747image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T12:42:45.244517image/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

시도명시군구명사무소명자격종류도로명주소지번주소위도경도데이터기준일자
0강원도춘천시행정사 김수용 사무소일반행정사강원도 춘천시 공단로 18， 2층 202호(후평동)강원도 춘천시 후평동 291-18 2층 202호37.887591127.7501422022-05-13
1강원도춘천시엠브이피파트너스 행정법률 사무소일반행정사강원도 춘천시 안마산로 110， 4층(퇴계동)강원도 춘천시 퇴계동 529-1, 4층37.854191127.7272852022-05-13
2강원도춘천시유도현 행정사 사무소일반행정사강원도 춘천시 남춘천새길 6， 103호 (퇴계동)강원도 춘천시 퇴계동 1113, 103호37.860691127.7342162022-05-13
3강원도춘천시참토지개발전문행정사일반행정사강원도 춘천시 동내면 학곡동1길 14강원도 춘천시 동내면 학곡리 293-3837.83572127.7615762022-05-13
4강원도춘천시선우일반행정사강원도 춘천시 동면 공단로70번길 226강원도 춘천시 동면 장학리 607번지 6호37.911043127.7513322022-05-13
5강원도춘천시조장형행정사사무소일반행정사강원도 춘천시 춘천로 118 (효자동)강원도 춘천시 효자동 456번지 6호37.873729127.7302652022-05-13
6강원도춘천시도움 행정사사무소일반행정사강원도 춘천시 안마산로 133 (퇴계동， e편한세상 춘천 한숲시티)강원도 춘천시 퇴계동 1240 e편한세상 춘천 한숲시티 110동 702호37.853941127.7294422022-05-13
7강원도춘천시정재준 행정사사무소일반행정사강원도 춘천시 안마산로 199， 3층 (퇴계동)강원도 춘천시 퇴계동 87번지37.850546127.7364462022-05-13
8강원도춘천시로또 행정사 사무소일반행정사강원도 춘천시 방송길 70 (온의동， 온의 롯데캐슬 스카이클래스)강원도 춘천시 온의동 590 온의 롯데캐슬 스카이클래스 단지내상가 117동 104호37.870132127.716632022-05-13
9강원도춘천시민행정사사무소일반행정사강원도 춘천시 공지로 277 (효자동)강원도 춘천시 효자동 360-937.866064127.7341022022-05-13
시도명시군구명사무소명자격종류도로명주소지번주소위도경도데이터기준일자
26강원도춘천시삼성행정사일반행정사강원도 춘천시 남산면 한치로 114강원도 춘천시 남산면 창촌리 75번지 7호37.788298127.6469192022-05-13
27강원도춘천시행정사신천호사무소일반행정사강원도 춘천시 약사고개길 19， 6층 604호 (죽림동， 호수마을아파트)강원도 춘천시 죽림동 188번지37.877062127.7276142022-05-13
28강원도춘천시김용기행정사사무소일반행정사강원도 춘천시 공지로 276 (효자동)강원도 춘천시 효자동 309번지 4호37.86617127.7345642022-05-13
29강원도춘천시봄내행정사사무소일반행정사강원도 춘천시 남춘로 64 (효자동)강원도 춘천시 효자동 360번지 1호37.866186127.7336222022-05-13
30강원도춘천시행정사이기연사무소일반행정사강원도 춘천시 공지로 280 (효자동)강원도 춘천시 효자동 309번지 1호37.866328127.7343842022-05-13
31강원도춘천시서대석행정사사무소일반행정사강원도 춘천시 서부대성로 216 (효자동， 지하1층)강원도 춘천시 효자동 617번지 14호37.873636127.7420982022-05-13
32강원도춘천시심상설행정사사무소일반행정사강원도 춘천시 후석로 289 (후평동)강원도 춘천시 후평동 796번지 5호37.877123127.751682022-05-13
33강원도춘천시이원근행정사사무소소일반행정사강원도 춘천시 춘천로64번길 17 (효자동)강원도 춘천시 효자동 688번지 5호37.869385127.7261142022-05-13
34강원도춘천시법무사행정사 이창수사무소일반행정사강원도 춘천시 남춘천새길 11, 105동 120호(퇴계동, 휴먼시아 남춘천1단지아파트)강원도 춘천시 퇴계동 1097 휴먼시아 남춘천1단지아파트 105동 120호37.861863127.7335242022-05-13
35강원도춘천시관우행정사 사무소일반행정사강원도 춘천시 신동면 순환대로 309-20강원도 춘천시 신동면 정족리 228-237.82452127.737722022-05-13