Overview

Dataset statistics

Number of variables8
Number of observations440
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory28.5 KiB
Average record size in memory66.3 B

Variable types

Numeric2
Text3
Categorical2
DateTime1

Dataset

Description강원도 원주시에 있는 의원 (의료기관명, 의료기관 도로명주소, 의료기관번호, 평상의 개수 등)의 다양한 정보 제공
Author강원특별자치도 원주시
URLhttps://www.data.go.kr/data/3043746/fileData.do

Alerts

관리기관 has constant value ""Constant
관리기관 전화번호 has constant value ""Constant
데이터 기준일자 has constant value ""Constant
순번 has unique valuesUnique
의료기관명 has unique valuesUnique
병상 has 386 (87.7%) zerosZeros

Reproduction

Analysis started2023-12-12 14:25:56.881172
Analysis finished2023-12-12 14:25:58.483532
Duration1.6 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

순번
Real number (ℝ)

UNIQUE 

Distinct440
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean220.5
Minimum1
Maximum440
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.0 KiB
2023-12-12T23:25:58.924192image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile22.95
Q1110.75
median220.5
Q3330.25
95-th percentile418.05
Maximum440
Range439
Interquartile range (IQR)219.5

Descriptive statistics

Standard deviation127.16131
Coefficient of variation (CV)0.57669531
Kurtosis-1.2
Mean220.5
Median Absolute Deviation (MAD)110
Skewness0
Sum97020
Variance16170
MonotonicityStrictly increasing
2023-12-12T23:25:59.101001image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.2%
291 1
 
0.2%
302 1
 
0.2%
301 1
 
0.2%
300 1
 
0.2%
299 1
 
0.2%
298 1
 
0.2%
297 1
 
0.2%
296 1
 
0.2%
295 1
 
0.2%
Other values (430) 430
97.7%
ValueCountFrequency (%)
1 1
0.2%
2 1
0.2%
3 1
0.2%
4 1
0.2%
5 1
0.2%
6 1
0.2%
7 1
0.2%
8 1
0.2%
9 1
0.2%
10 1
0.2%
ValueCountFrequency (%)
440 1
0.2%
439 1
0.2%
438 1
0.2%
437 1
0.2%
436 1
0.2%
435 1
0.2%
434 1
0.2%
433 1
0.2%
432 1
0.2%
431 1
0.2%

의료기관명
Text

UNIQUE 

Distinct440
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size3.6 KiB
2023-12-12T23:25:59.379267image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length19
Median length16
Mean length7.5136364
Min length3

Characters and Unicode

Total characters3306
Distinct characters304
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique440 ?
Unique (%)100.0%

Sample

1st row진제통한의원
2nd row진제통의원
3rd row연세준재활의학과의원
4th row미소마취통증의학과의원
5th row은혜한의원
ValueCountFrequency (%)
원주점 3
 
0.6%
의원 3
 
0.6%
부부치과의원 2
 
0.4%
정신건강의학과 2
 
0.4%
드림연세안과의원 1
 
0.2%
연우치과의원 1
 
0.2%
베스트이내과의원 1
 
0.2%
정내과의원 1
 
0.2%
제일의원 1
 
0.2%
앨리스의원 1
 
0.2%
Other values (447) 447
96.5%
2023-12-12T23:25:59.833130image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
원 472
 
14.3%
의 468
 
14.2%
과 280
 
8.5%
한 133
 
4.0%
치 113
 
3.4%
이 60
 
1.8%
세 60
 
1.8%
연 57
 
1.7%
소 49
 
1.5%
내 43
 
1.3%
Other values (294) 1571
47.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3263
98.7%
Space Separator 23
 
0.7%
Decimal Number 10
 
0.3%
Uppercase Letter 4
 
0.1%
Lowercase Letter 3
 
0.1%
Other Punctuation 2
 
0.1%
Dash Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
원 472
 
14.5%
의 468
 
14.3%
과 280
 
8.6%
한 133
 
4.1%
치 113
 
3.5%
이 60
 
1.8%
세 60
 
1.8%
연 57
 
1.7%
소 49
 
1.5%
내 43
 
1.3%
Other values (278) 1528
46.8%
Decimal Number
ValueCountFrequency (%)
2 2
20.0%
5 2
20.0%
6 2
20.0%
3 2
20.0%
1 1
10.0%
8 1
10.0%
Uppercase Letter
ValueCountFrequency (%)
M 1
25.0%
T 1
25.0%
S 1
25.0%
D 1
25.0%
Lowercase Letter
ValueCountFrequency (%)
e 2
66.7%
r 1
33.3%
Other Punctuation
ValueCountFrequency (%)
& 1
50.0%
. 1
50.0%
Space Separator
ValueCountFrequency (%)
23
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3263
98.7%
Common 36
 
1.1%
Latin 7
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
원 472
 
14.5%
의 468
 
14.3%
과 280
 
8.6%
한 133
 
4.1%
치 113
 
3.5%
이 60
 
1.8%
세 60
 
1.8%
연 57
 
1.7%
소 49
 
1.5%
내 43
 
1.3%
Other values (278) 1528
46.8%
Common
ValueCountFrequency (%)
23
63.9%
2 2
 
5.6%
5 2
 
5.6%
6 2
 
5.6%
3 2
 
5.6%
1 1
 
2.8%
& 1
 
2.8%
. 1
 
2.8%
8 1
 
2.8%
- 1
 
2.8%
Latin
ValueCountFrequency (%)
e 2
28.6%
M 1
14.3%
r 1
14.3%
T 1
14.3%
S 1
14.3%
D 1
14.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3263
98.7%
ASCII 43
 
1.3%

Most frequent character per block

Hangul
ValueCountFrequency (%)
원 472
 
14.5%
의 468
 
14.3%
과 280
 
8.6%
한 133
 
4.1%
치 113
 
3.5%
이 60
 
1.8%
세 60
 
1.8%
연 57
 
1.7%
소 49
 
1.5%
내 43
 
1.3%
Other values (278) 1528
46.8%
ASCII
ValueCountFrequency (%)
23
53.5%
2 2
 
4.7%
e 2
 
4.7%
5 2
 
4.7%
6 2
 
4.7%
3 2
 
4.7%
1 1
 
2.3%
& 1
 
2.3%
M 1
 
2.3%
. 1
 
2.3%
Other values (6) 6
 
14.0%

의료기관주소(도로명)
Text

Distinct423
Distinct (%)96.1%
Missing0
Missing (%)0.0%
Memory size3.6 KiB
2023-12-12T23:26:00.235123image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length61
Median length46
Mean length31.7
Min length22

Characters and Unicode

Total characters13948
Distinct characters222
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique408 ?
Unique (%)92.7%

Sample

1st row강원특별자치도 원주시 양지로 26, 1층 106호 (반곡동)
2nd row강원특별자치도 원주시 양지로 26, 1층 106호 (반곡동)
3rd row강원특별자치도 원주시 지정면 신지정로 216, 6,7층
4th row강원특별자치도 원주시 모란1길 69, 201호 (우산동)
5th row강원특별자치도 원주시 능라동길 82, 3층 (무실동)
ValueCountFrequency (%)
강원특별자치도 440
 
16.2%
원주시 440
 
16.2%
2층 78
 
2.9%
무실동 68
 
2.5%
단계동 64
 
2.4%
단구동 63
 
2.3%
3층 59
 
2.2%
서원대로 50
 
1.8%
능라동길 40
 
1.5%
일산동 32
 
1.2%
Other values (515) 1374
50.7%
2023-12-12T23:26:00.760494image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2272
 
16.3%
원 1057
 
7.6%
시 482
 
3.5%
자 470
 
3.4%
치 469
 
3.4%
, 457
 
3.3%
동 452
 
3.2%
주 444
 
3.2%
강 441
 
3.2%
도 440
 
3.2%
Other values (212) 6964
49.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 8304
59.5%
Space Separator 2272
 
16.3%
Decimal Number 2041
 
14.6%
Other Punctuation 459
 
3.3%
Open Punctuation 395
 
2.8%
Close Punctuation 395
 
2.8%
Dash Punctuation 49
 
0.4%
Math Symbol 25
 
0.2%
Uppercase Letter 6
 
< 0.1%
Lowercase Letter 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
원 1057
 
12.7%
시 482
 
5.8%
자 470
 
5.7%
치 469
 
5.6%
동 452
 
5.4%
주 444
 
5.3%
강 441
 
5.3%
도 440
 
5.3%
별 440
 
5.3%
특 440
 
5.3%
Other values (190) 3169
38.2%
Decimal Number
ValueCountFrequency (%)
1 387
19.0%
2 324
15.9%
3 270
13.2%
0 245
12.0%
5 204
10.0%
4 175
8.6%
6 172
8.4%
8 104
 
5.1%
7 91
 
4.5%
9 69
 
3.4%
Uppercase Letter
ValueCountFrequency (%)
S 3
50.0%
K 2
33.3%
G 1
 
16.7%
Other Punctuation
ValueCountFrequency (%)
, 457
99.6%
. 2
 
0.4%
Lowercase Letter
ValueCountFrequency (%)
k 1
50.0%
t 1
50.0%
Space Separator
ValueCountFrequency (%)
2272
100.0%
Open Punctuation
ValueCountFrequency (%)
( 395
100.0%
Close Punctuation
ValueCountFrequency (%)
) 395
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 49
100.0%
Math Symbol
ValueCountFrequency (%)
~ 25
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 8304
59.5%
Common 5636
40.4%
Latin 8
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
원 1057
 
12.7%
시 482
 
5.8%
자 470
 
5.7%
치 469
 
5.6%
동 452
 
5.4%
주 444
 
5.3%
강 441
 
5.3%
도 440
 
5.3%
별 440
 
5.3%
특 440
 
5.3%
Other values (190) 3169
38.2%
Common
ValueCountFrequency (%)
2272
40.3%
, 457
 
8.1%
( 395
 
7.0%
) 395
 
7.0%
1 387
 
6.9%
2 324
 
5.7%
3 270
 
4.8%
0 245
 
4.3%
5 204
 
3.6%
4 175
 
3.1%
Other values (7) 512
 
9.1%
Latin
ValueCountFrequency (%)
S 3
37.5%
K 2
25.0%
k 1
 
12.5%
t 1
 
12.5%
G 1
 
12.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 8304
59.5%
ASCII 5644
40.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2272
40.3%
, 457
 
8.1%
( 395
 
7.0%
) 395
 
7.0%
1 387
 
6.9%
2 324
 
5.7%
3 270
 
4.8%
0 245
 
4.3%
5 204
 
3.6%
4 175
 
3.1%
Other values (12) 520
 
9.2%
Hangul
ValueCountFrequency (%)
원 1057
 
12.7%
시 482
 
5.8%
자 470
 
5.7%
치 469
 
5.6%
동 452
 
5.4%
주 444
 
5.3%
강 441
 
5.3%
도 440
 
5.3%
별 440
 
5.3%
특 440
 
5.3%
Other values (190) 3169
38.2%

의료기관전화번호
Text

Distinct438
Distinct (%)99.5%
Missing0
Missing (%)0.0%
Memory size3.6 KiB
2023-12-12T23:26:01.029110image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length11.984091
Min length9

Characters and Unicode

Total characters5273
Distinct characters11
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique436 ?
Unique (%)99.1%

Sample

1st row033-813-0233
2nd row033-813-0233
3rd row033-900-0847
4th row033-900-7500
5th row033-731-1079
ValueCountFrequency (%)
033-813-0233 2
 
0.5%
033-741-4875 2
 
0.5%
033-744-6875 1
 
0.2%
033-747-1875 1
 
0.2%
033-766-9966 1
 
0.2%
033-744-7007 1
 
0.2%
033-744-5075 1
 
0.2%
033-731-7588 1
 
0.2%
033-765-7657 1
 
0.2%
033-746-4222 1
 
0.2%
Other values (428) 428
97.3%
2023-12-12T23:26:01.535605image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3 1165
22.1%
- 877
16.6%
7 704
13.4%
0 699
13.3%
5 348
 
6.6%
4 326
 
6.2%
2 297
 
5.6%
6 261
 
4.9%
8 247
 
4.7%
1 210
 
4.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 4396
83.4%
Dash Punctuation 877
 
16.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
3 1165
26.5%
7 704
16.0%
0 699
15.9%
5 348
 
7.9%
4 326
 
7.4%
2 297
 
6.8%
6 261
 
5.9%
8 247
 
5.6%
1 210
 
4.8%
9 139
 
3.2%
Dash Punctuation
ValueCountFrequency (%)
- 877
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 5273
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
3 1165
22.1%
- 877
16.6%
7 704
13.4%
0 699
13.3%
5 348
 
6.6%
4 326
 
6.2%
2 297
 
5.6%
6 261
 
4.9%
8 247
 
4.7%
1 210
 
4.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 5273
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3 1165
22.1%
- 877
16.6%
7 704
13.4%
0 699
13.3%
5 348
 
6.6%
4 326
 
6.2%
2 297
 
5.6%
6 261
 
4.9%
8 247
 
4.7%
1 210
 
4.0%

병상
Real number (ℝ)

ZEROS 

Distinct19
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.45
Minimum0
Maximum29
Zeros386
Zeros (%)87.7%
Negative0
Negative (%)0.0%
Memory size4.0 KiB
2023-12-12T23:26:01.704630image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile10
Maximum29
Range29
Interquartile range (IQR)0

Descriptive statistics

Standard deviation5.2419588
Coefficient of variation (CV)3.615144
Kurtosis17.124525
Mean1.45
Median Absolute Deviation (MAD)0
Skewness4.1759893
Sum638
Variance27.478132
MonotonicityNot monotonic
2023-12-12T23:26:01.837301image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
0 386
87.7%
2 9
 
2.0%
29 8
 
1.8%
10 6
 
1.4%
4 6
 
1.4%
5 5
 
1.1%
1 4
 
0.9%
24 3
 
0.7%
18 2
 
0.5%
9 2
 
0.5%
Other values (9) 9
 
2.0%
ValueCountFrequency (%)
0 386
87.7%
1 4
 
0.9%
2 9
 
2.0%
4 6
 
1.4%
5 5
 
1.1%
6 1
 
0.2%
7 1
 
0.2%
9 2
 
0.5%
10 6
 
1.4%
14 1
 
0.2%
ValueCountFrequency (%)
29 8
1.8%
27 1
 
0.2%
24 3
 
0.7%
23 1
 
0.2%
21 1
 
0.2%
20 1
 
0.2%
18 2
 
0.5%
16 1
 
0.2%
15 1
 
0.2%
14 1
 
0.2%

관리기관
Categorical

CONSTANT 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size3.6 KiB
강원도 원주시청
440 

Length

Max length8
Median length8
Mean length8
Min length8

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
강원도 원주시청 440
100.0%

Length

2023-12-12T23:26:02.008990image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T23:26:02.119256image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
강원도 440
50.0%
원주시청 440
50.0%

관리기관 전화번호
Categorical

CONSTANT 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size3.6 KiB
033-737-4022
440 

Length

Max length12
Median length12
Mean length12
Min length12

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row033-737-4022
2nd row033-737-4022
3rd row033-737-4022
4th row033-737-4022
5th row033-737-4022

Common Values

ValueCountFrequency (%)
033-737-4022 440
100.0%

Length

2023-12-12T23:26:02.217301image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T23:26:02.305751image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
033-737-4022 440
100.0%

데이터 기준일자
Date

CONSTANT 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size3.6 KiB
Minimum2023-08-31 00:00:00
Maximum2023-08-31 00:00:00
2023-12-12T23:26:02.396952image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:26:02.486107image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Interactions

2023-12-12T23:25:57.751717image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:25:57.457314image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:25:57.922800image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:25:57.588015image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T23:26:02.553990image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순번병상
순번1.0000.047
병상0.0471.000
2023-12-12T23:26:02.655322image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순번병상
순번1.0000.019
병상0.0191.000

Missing values

2023-12-12T23:25:58.152760image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T23:25:58.385796image/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

순번의료기관명의료기관주소(도로명)의료기관전화번호병상관리기관관리기관 전화번호데이터 기준일자
01진제통한의원강원특별자치도 원주시 양지로 26, 1층 106호 (반곡동)033-813-02330강원도 원주시청033-737-40222023-08-31
12진제통의원강원특별자치도 원주시 양지로 26, 1층 106호 (반곡동)033-813-02335강원도 원주시청033-737-40222023-08-31
23연세준재활의학과의원강원특별자치도 원주시 지정면 신지정로 216, 6,7층033-900-08470강원도 원주시청033-737-40222023-08-31
34미소마취통증의학과의원강원특별자치도 원주시 모란1길 69, 201호 (우산동)033-900-75000강원도 원주시청033-737-40222023-08-31
45은혜한의원강원특별자치도 원주시 능라동길 82, 3층 (무실동)033-731-10790강원도 원주시청033-737-40222023-08-31
56연세이명규내과의원강원특별자치도 원주시 치악로 1791, 3층 (개운동)033-761-64510강원도 원주시청033-737-40222023-08-31
67봄빛의원강원특별자치도 원주시 현충로58번길 28 (태장동)033-746-75820강원도 원주시청033-737-40222023-08-31
78마디세움 정형외과의원강원특별자치도 원주시 지정면 신지정로 322-1, 센텀뷰 5층033-901-82750강원도 원주시청033-737-40222023-08-31
89이득수한의원강원특별자치도 원주시 지정면 신지정로 216, 601호033-813-01750강원도 원주시청033-737-40222023-08-31
910탑정형외과의원강원특별자치도 원주시 봉화로 31, 시재메디타워 (단계동)1599-750116강원도 원주시청033-737-40222023-08-31
순번의료기관명의료기관주소(도로명)의료기관전화번호병상관리기관관리기관 전화번호데이터 기준일자
430431중앙치과의원강원특별자치도 원주시 원일로 104-1 (중앙동)033-743-69360강원도 원주시청033-737-40222023-08-31
431432중앙정형외과의원강원특별자치도 원주시 학성철길 59 (학성동)033-743-522129강원도 원주시청033-737-40222023-08-31
432433박규래정형외과의원강원특별자치도 원주시 무실로 26 (일산동)033-746-553827강원도 원주시청033-737-40222023-08-31
433434권혁준내과의원강원특별자치도 원주시 서원대로 156 (단계동)033-746-28780강원도 원주시청033-737-40222023-08-31
434435김남두비뇨기과의원강원특별자치도 원주시 원일로 114 (중앙동)033-742-01930강원도 원주시청033-737-40222023-08-31
435436홍성국신경정신과의원강원특별자치도 원주시 원일로 150-1 (학성동)033-743-53560강원도 원주시청033-737-40222023-08-31
436437한국한센복지협회강원도지부부설복지의원강원특별자치도 원주시 원일로 155 (일산동)033-742-87180강원도 원주시청033-737-40222023-08-31
437438경희한의원강원특별자치도 원주시 향교길 56 (명륜동)033-765-52130강원도 원주시청033-737-40222023-08-31
438439김이비인후과의원강원특별자치도 원주시 원일로 127 (일산동)033-743-61610강원도 원주시청033-737-40222023-08-31
439440서울외과의원강원특별자치도 원주시 원일로 169 (학성동)033-742-120415강원도 원주시청033-737-40222023-08-31