Overview

Dataset statistics

Number of variables9
Number of observations31
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory2.4 KiB
Average record size in memory78.3 B

Variable types

Text4
DateTime3
Numeric2

Dataset

Description세종특별자치시 관내 무료주차장 현황입니다.(기관명, 주차장 주소, 건물명,무료개방시작일,무료개방종료일) 기관명의 예시로는 새롬동주민센터, 다정동주민센터, 보람동주민센터 등이 있습니다.
URLhttps://www.data.go.kr/data/15067908/fileData.do

Alerts

무료개방시작일 has constant value ""Constant
무료개방종료일 has constant value ""Constant
데이터기준일 has constant value ""Constant
주차장 주소 has unique valuesUnique
위도 has unique valuesUnique
경도 has unique valuesUnique

Reproduction

Analysis started2023-12-12 06:08:57.450874
Analysis finished2023-12-12 06:08:58.510557
Duration1.06 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

기관명
Text

Distinct19
Distinct (%)61.3%
Missing0
Missing (%)0.0%
Memory size380.0 B
2023-12-12T15:08:58.634529image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length13
Mean length11.129032
Min length7

Characters and Unicode

Total characters345
Distinct characters59
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

Unique16 ?
Unique (%)51.6%

Sample

1st row북세종 통합 행정복지센터
2nd row새롬동 행정복지센터
3rd row다정동 주민센터
4th row보람동 행정복지센터
5th row한솔동 행정복지센터
ValueCountFrequency (%)
행정복지센터 15
25.4%
세종특별자치시 13
22.0%
시설관리공단 11
18.6%
고운동 2
 
3.4%
통합 1
 
1.7%
종촌동 1
 
1.7%
대평시장상인회 1
 
1.7%
어진동 1
 
1.7%
나성동 1
 
1.7%
반곡동 1
 
1.7%
Other values (12) 12
20.3%
2023-12-12T15:08:58.992357image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
28
 
8.1%
시 25
 
7.2%
센 16
 
4.6%
종 16
 
4.6%
터 16
 
4.6%
정 16
 
4.6%
동 15
 
4.3%
지 15
 
4.3%
복 15
 
4.3%
행 15
 
4.3%
Other values (49) 168
48.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 317
91.9%
Space Separator 28
 
8.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
시 25
 
7.9%
센 16
 
5.0%
종 16
 
5.0%
터 16
 
5.0%
정 16
 
5.0%
동 15
 
4.7%
지 15
 
4.7%
복 15
 
4.7%
행 15
 
4.7%
세 15
 
4.7%
Other values (48) 153
48.3%
Space Separator
ValueCountFrequency (%)
28
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 317
91.9%
Common 28
 
8.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
시 25
 
7.9%
센 16
 
5.0%
종 16
 
5.0%
터 16
 
5.0%
정 16
 
5.0%
동 15
 
4.7%
지 15
 
4.7%
복 15
 
4.7%
행 15
 
4.7%
세 15
 
4.7%
Other values (48) 153
48.3%
Common
ValueCountFrequency (%)
28
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 317
91.9%
ASCII 28
 
8.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
28
100.0%
Hangul
ValueCountFrequency (%)
시 25
 
7.9%
센 16
 
5.0%
종 16
 
5.0%
터 16
 
5.0%
정 16
 
5.0%
동 15
 
4.7%
지 15
 
4.7%
복 15
 
4.7%
행 15
 
4.7%
세 15
 
4.7%
Other values (48) 153
48.3%

주차장 주소
Text

UNIQUE 

Distinct31
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size380.0 B
2023-12-12T15:08:59.205722image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length29
Median length24
Mean length18.709677
Min length14

Characters and Unicode

Total characters580
Distinct characters94
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

Unique31 ?
Unique (%)100.0%

Sample

1st row세종특별자치시 조치원읍 새내 16길 17
2nd row세종특별자치시 새롬중앙로 44
3rd row세종특별자치시 다정남3로 10
4th row세종특별자치시 호려울로 42
5th row세종특별자치시 노을3로 85
ValueCountFrequency (%)
세종특별자치시 31
30.4%
조치원읍 6
 
5.9%
나성동 3
 
2.9%
정리 2
 
2.0%
10 2
 
2.0%
금남면 2
 
2.0%
한누리대로 2
 
2.0%
마음로 2
 
2.0%
697-4 1
 
1.0%
105(아름공영주차장 1
 
1.0%
Other values (50) 50
49.0%
2023-12-12T15:08:59.549708image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
71
 
12.2%
치 37
 
6.4%
종 33
 
5.7%
세 32
 
5.5%
시 32
 
5.5%
특 31
 
5.3%
별 31
 
5.3%
자 31
 
5.3%
로 20
 
3.4%
1 19
 
3.3%
Other values (84) 243
41.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 392
67.6%
Decimal Number 94
 
16.2%
Space Separator 71
 
12.2%
Open Punctuation 8
 
1.4%
Close Punctuation 8
 
1.4%
Dash Punctuation 5
 
0.9%
Uppercase Letter 2
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
치 37
 
9.4%
종 33
 
8.4%
세 32
 
8.2%
시 32
 
8.2%
특 31
 
7.9%
별 31
 
7.9%
자 31
 
7.9%
로 20
 
5.1%
장 7
 
1.8%
차 6
 
1.5%
Other values (68) 132
33.7%
Decimal Number
ValueCountFrequency (%)
1 19
20.2%
3 15
16.0%
2 12
12.8%
9 9
9.6%
4 9
9.6%
7 8
8.5%
0 7
 
7.4%
5 6
 
6.4%
6 5
 
5.3%
8 4
 
4.3%
Uppercase Letter
ValueCountFrequency (%)
B 1
50.0%
A 1
50.0%
Space Separator
ValueCountFrequency (%)
71
100.0%
Open Punctuation
ValueCountFrequency (%)
( 8
100.0%
Close Punctuation
ValueCountFrequency (%)
) 8
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 392
67.6%
Common 186
32.1%
Latin 2
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
치 37
 
9.4%
종 33
 
8.4%
세 32
 
8.2%
시 32
 
8.2%
특 31
 
7.9%
별 31
 
7.9%
자 31
 
7.9%
로 20
 
5.1%
장 7
 
1.8%
차 6
 
1.5%
Other values (68) 132
33.7%
Common
ValueCountFrequency (%)
71
38.2%
1 19
 
10.2%
3 15
 
8.1%
2 12
 
6.5%
9 9
 
4.8%
4 9
 
4.8%
( 8
 
4.3%
7 8
 
4.3%
) 8
 
4.3%
0 7
 
3.8%
Other values (4) 20
 
10.8%
Latin
ValueCountFrequency (%)
B 1
50.0%
A 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 392
67.6%
ASCII 188
32.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
71
37.8%
1 19
 
10.1%
3 15
 
8.0%
2 12
 
6.4%
9 9
 
4.8%
4 9
 
4.8%
( 8
 
4.3%
7 8
 
4.3%
) 8
 
4.3%
0 7
 
3.7%
Other values (6) 22
 
11.7%
Hangul
ValueCountFrequency (%)
치 37
 
9.4%
종 33
 
8.4%
세 32
 
8.2%
시 32
 
8.2%
특 31
 
7.9%
별 31
 
7.9%
자 31
 
7.9%
로 20
 
5.1%
장 7
 
1.8%
차 6
 
1.5%
Other values (68) 132
33.7%

주차장명
Text

Distinct24
Distinct (%)77.4%
Missing0
Missing (%)0.0%
Memory size380.0 B
2023-12-12T15:08:59.763575image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length24
Median length22
Mean length15.580645
Min length9

Characters and Unicode

Total characters483
Distinct characters83
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique22 ?
Unique (%)71.0%

Sample

1st row북세종 통합 행정복지센터 주차장
2nd row새롬동 복합커뮤니티센터 지하주차장
3rd row다정동 복합커뮤니티센터 지하주차장
4th row보람동 복합커뮤니티센터 청사 입구
5th row한솔동 행정복지센터 훈민관+정음관 지하주차장
ValueCountFrequency (%)
복합커뮤니티센터 14
16.1%
공영주차장 13
14.9%
지하주차장 12
13.8%
행복도시 8
 
9.2%
조치원 3
 
3.4%
청사 3
 
3.4%
입구 3
 
3.4%
주차장 2
 
2.3%
행정복지센터 2
 
2.3%
나성동 1
 
1.1%
Other values (26) 26
29.9%
2023-12-12T15:09:00.113427image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
56
 
11.6%
장 31
 
6.4%
주 29
 
6.0%
차 29
 
6.0%
복 24
 
5.0%
지 16
 
3.3%
터 16
 
3.3%
센 16
 
3.3%
합 15
 
3.1%
동 15
 
3.1%
Other values (73) 236
48.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 417
86.3%
Space Separator 56
 
11.6%
Close Punctuation 4
 
0.8%
Open Punctuation 4
 
0.8%
Math Symbol 2
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
장 31
 
7.4%
주 29
 
7.0%
차 29
 
7.0%
복 24
 
5.8%
지 16
 
3.8%
터 16
 
3.8%
센 16
 
3.8%
합 15
 
3.6%
동 15
 
3.6%
티 14
 
3.4%
Other values (69) 212
50.8%
Space Separator
ValueCountFrequency (%)
56
100.0%
Close Punctuation
ValueCountFrequency (%)
) 4
100.0%
Open Punctuation
ValueCountFrequency (%)
( 4
100.0%
Math Symbol
ValueCountFrequency (%)
+ 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 417
86.3%
Common 66
 
13.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
장 31
 
7.4%
주 29
 
7.0%
차 29
 
7.0%
복 24
 
5.8%
지 16
 
3.8%
터 16
 
3.8%
센 16
 
3.8%
합 15
 
3.6%
동 15
 
3.6%
티 14
 
3.4%
Other values (69) 212
50.8%
Common
ValueCountFrequency (%)
56
84.8%
) 4
 
6.1%
( 4
 
6.1%
+ 2
 
3.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 417
86.3%
ASCII 66
 
13.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
56
84.8%
) 4
 
6.1%
( 4
 
6.1%
+ 2
 
3.0%
Hangul
ValueCountFrequency (%)
장 31
 
7.4%
주 29
 
7.0%
차 29
 
7.0%
복 24
 
5.8%
지 16
 
3.8%
터 16
 
3.8%
센 16
 
3.8%
합 15
 
3.6%
동 15
 
3.6%
티 14
 
3.4%
Other values (69) 212
50.8%

무료개방시작일
Date

CONSTANT 

Distinct1
Distinct (%)3.2%
Missing0
Missing (%)0.0%
Memory size380.0 B
Minimum2023-09-28 00:00:00
Maximum2023-09-28 00:00:00
2023-12-12T15:09:00.237749image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T15:09:00.337443image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

무료개방종료일
Date

CONSTANT 

Distinct1
Distinct (%)3.2%
Missing0
Missing (%)0.0%
Memory size380.0 B
Minimum2023-10-01 00:00:00
Maximum2023-10-01 00:00:00
2023-12-12T15:09:00.443340image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T15:09:00.578759image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

위도
Real number (ℝ)

UNIQUE 

Distinct31
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean36.514292
Minimum36.465296
Maximum36.60452
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size411.0 B
2023-12-12T15:09:00.722567image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum36.465296
5-th percentile36.469696
Q136.481233
median36.501877
Q336.5177
95-th percentile36.600517
Maximum36.60452
Range0.1392237
Interquartile range (IQR)0.0364675

Descriptive statistics

Standard deviation0.045211781
Coefficient of variation (CV)0.0012381941
Kurtosis0.049024333
Mean36.514292
Median Absolute Deviation (MAD)0.0204068
Skewness1.2040369
Sum1131.9431
Variance0.0020441051
MonotonicityNot monotonic
2023-12-12T15:09:00.889852image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=31)
ValueCountFrequency (%)
36.6045197 1
 
3.2%
36.48538 1
 
3.2%
36.4684296 1
 
3.2%
36.4860446 1
 
3.2%
36.600448 1
 
3.2%
36.592779 1
 
3.2%
36.480058 1
 
3.2%
36.465296 1
 
3.2%
36.48147 1
 
3.2%
36.48081 1
 
3.2%
Other values (21) 21
67.7%
ValueCountFrequency (%)
36.465296 1
3.2%
36.4684296 1
3.2%
36.470962 1
3.2%
36.478772 1
3.2%
36.479022 1
3.2%
36.480058 1
3.2%
36.48081 1
3.2%
36.480995 1
3.2%
36.48147 1
3.2%
36.484075 1
3.2%
ValueCountFrequency (%)
36.6045197 1
3.2%
36.600586 1
3.2%
36.600448 1
3.2%
36.59987 1
3.2%
36.59976 1
3.2%
36.592779 1
3.2%
36.5270351 1
3.2%
36.519797 1
3.2%
36.515603 1
3.2%
36.512757 1
3.2%

경도
Real number (ℝ)

UNIQUE 

Distinct31
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean127.27073
Minimum127.23537
Maximum127.31082
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size411.0 B
2023-12-12T15:09:01.066203image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum127.23537
5-th percentile127.24178
Q1127.25321
median127.26381
Q3127.28981
95-th percentile127.30018
Maximum127.31082
Range0.075457
Interquartile range (IQR)0.036594

Descriptive statistics

Standard deviation0.021418353
Coefficient of variation (CV)0.0001682897
Kurtosis-1.1984459
Mean127.27073
Median Absolute Deviation (MAD)0.0169174
Skewness0.19130009
Sum3945.3926
Variance0.00045874584
MonotonicityNot monotonic
2023-12-12T15:09:01.241230image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=31)
ValueCountFrequency (%)
127.2984508 1
 
3.2%
127.251686 1
 
3.2%
127.2823068 1
 
3.2%
127.2638094 1
 
3.2%
127.287713 1
 
3.2%
127.292061 1
 
3.2%
127.289039 1
 
3.2%
127.281786 1
 
3.2%
127.26213 1
 
3.2%
127.26148 1
 
3.2%
Other values (21) 21
67.7%
ValueCountFrequency (%)
127.235365 1
3.2%
127.236693 1
3.2%
127.246866 1
3.2%
127.246892 1
3.2%
127.247859 1
3.2%
127.249699 1
3.2%
127.250193 1
3.2%
127.251686 1
3.2%
127.254736 1
3.2%
127.2562323 1
3.2%
ValueCountFrequency (%)
127.310822 1
3.2%
127.300366 1
3.2%
127.300002 1
3.2%
127.29957 1
3.2%
127.2984508 1
3.2%
127.29772 1
3.2%
127.292061 1
3.2%
127.290571 1
3.2%
127.289039 1
3.2%
127.287713 1
3.2%

전화번호
Text

Distinct20
Distinct (%)64.5%
Missing0
Missing (%)0.0%
Memory size380.0 B
2023-12-12T15:09:01.430405image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length12
Min length12

Characters and Unicode

Total characters372
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

Unique18 ?
Unique (%)58.1%

Sample

1st row044-301-5056
2nd row044-301-6819
3rd row044-301-7121
4th row044-301-6716
5th row044-301-6114
ValueCountFrequency (%)
044-850-1292 11
35.5%
044-300-6547 2
 
6.5%
044-301-5056 1
 
3.2%
044-301-6819 1
 
3.2%
044-867-3838 1
 
3.2%
044-301-7514 1
 
3.2%
044-301-7615 1
 
3.2%
044-301-7316 1
 
3.2%
044-301-7415 1
 
3.2%
044-301-6415 1
 
3.2%
Other values (10) 10
32.3%
2023-12-12T15:09:01.765759image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
4 75
20.2%
0 66
17.7%
- 62
16.7%
1 45
12.1%
2 26
 
7.0%
3 22
 
5.9%
5 19
 
5.1%
6 17
 
4.6%
8 15
 
4.0%
9 14
 
3.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 310
83.3%
Dash Punctuation 62
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
4 75
24.2%
0 66
21.3%
1 45
14.5%
2 26
 
8.4%
3 22
 
7.1%
5 19
 
6.1%
6 17
 
5.5%
8 15
 
4.8%
9 14
 
4.5%
7 11
 
3.5%
Dash Punctuation
ValueCountFrequency (%)
- 62
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 372
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
4 75
20.2%
0 66
17.7%
- 62
16.7%
1 45
12.1%
2 26
 
7.0%
3 22
 
5.9%
5 19
 
5.1%
6 17
 
4.6%
8 15
 
4.0%
9 14
 
3.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 372
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
4 75
20.2%
0 66
17.7%
- 62
16.7%
1 45
12.1%
2 26
 
7.0%
3 22
 
5.9%
5 19
 
5.1%
6 17
 
4.6%
8 15
 
4.0%
9 14
 
3.8%

데이터기준일
Date

CONSTANT 

Distinct1
Distinct (%)3.2%
Missing0
Missing (%)0.0%
Memory size380.0 B
Minimum2023-07-07 00:00:00
Maximum2023-07-07 00:00:00
2023-12-12T15:09:01.899001image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T15:09:02.037631image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Interactions

2023-12-12T15:08:58.059901image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T15:08:57.831360image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T15:08:58.177093image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T15:08:57.938387image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T15:09:02.127145image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
기관명주차장 주소주차장명위도경도전화번호
기관명1.0001.0001.0000.7220.9531.000
주차장 주소1.0001.0001.0001.0001.0001.000
주차장명1.0001.0001.0000.9550.9811.000
위도0.7221.0000.9551.0000.7050.744
경도0.9531.0000.9810.7051.0000.977
전화번호1.0001.0001.0000.7440.9771.000
2023-12-12T15:09:02.230959image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
위도경도
위도1.0000.081
경도0.0811.000

Missing values

2023-12-12T15:08:58.322063image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T15:08:58.457167image/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

기관명주차장 주소주차장명무료개방시작일무료개방종료일위도경도전화번호데이터기준일
0북세종 통합 행정복지센터세종특별자치시 조치원읍 새내 16길 17북세종 통합 행정복지센터 주차장2023-09-282023-10-0136.60452127.298451044-301-50562023-07-07
1새롬동 행정복지센터세종특별자치시 새롬중앙로 44새롬동 복합커뮤니티센터 지하주차장2023-09-282023-10-0136.48538127.251686044-301-68192023-07-07
2다정동 주민센터세종특별자치시 다정남3로 10다정동 복합커뮤니티센터 지하주차장2023-09-282023-10-0136.494112127.250193044-301-71212023-07-07
3보람동 행정복지센터세종특별자치시 호려울로 42보람동 복합커뮤니티센터 청사 입구2023-09-282023-10-0136.478772127.290571044-301-67162023-07-07
4한솔동 행정복지센터세종특별자치시 노을3로 85한솔동 행정복지센터 훈민관+정음관 지하주차장2023-09-282023-10-0136.479022127.254736044-301-61142023-07-07
5소담동 행정복지센터세종특별자치시 한누리대로 2023소담동 복합커뮤니티센터 지하주차장2023-09-282023-10-0136.484075127.300366044-301-70162023-07-07
6도담동 행정복지센터세종특별자치시 보람로 77도담동 복합커뮤니티센터 주차장 지하주차장2023-09-282023-10-0136.515603127.262033044-301-62192023-07-07
7대평동 행정복지센터세종특별자치시 대평1길 10대평동 복합커뮤니티센터 지하주차장2023-09-282023-10-0136.470962127.279205044-301-69142023-07-07
8아름동 행정복지센터세종특별자치시 세종보듬3로 114아름동 복합커뮤니티센터 건물 뒷편2023-09-282023-10-0136.512354127.246892044-301-63442023-07-07
9고운동 행정복지센터세종특별자치시 마음로 284고운동(북측) 복합커뮤니티센터 지하주차장2023-09-282023-10-0136.519797127.236693044-301-66142023-07-07
기관명주차장 주소주차장명무료개방시작일무료개방종료일위도경도전화번호데이터기준일
21세종특별자치시 시설관리공단세종특별자치시 보듬3로 105(아름공영주차장)행복도시 공영주차장2023-09-282023-10-0136.511392127.247859044-850-12922023-07-07
22세종특별자치시 시설관리공단세종특별자치시 달빛로 53(종촌공영주차장)행복도시 공영주차장2023-09-282023-10-0136.503738127.249699044-850-12922023-07-07
23세종특별자치시 시설관리공단세종특별자치시 나성동 719(환승주차장A)행복도시 공영주차장2023-09-282023-10-0136.48081127.26148044-850-12922023-07-07
24세종특별자치시 시설관리공단세종특별자치시 나성동 778(환승주차장B)행복도시 공영주차장2023-09-282023-10-0136.48147127.26213044-850-12922023-07-07
25대평시장상인회세종특별자치시 금남면 용포리146-1대평시장 공영주차장2023-09-282023-10-0136.465296127.281786044-867-38382023-07-07
26세종특별자치시세종특별자치시 한누리대로 2130 (보람동)세종특별자치시청 청사 입구2023-09-282023-10-0136.480058127.289039044-300-65472023-07-07
27세종특별자치시세종특별자치시 조치원읍 군청로 93조치원청사 청사 입구2023-09-282023-10-0136.592779127.292061044-300-65472023-07-07
28세종평생교육학습관세종특별자치시 조치원읍 문화2길 25세종평생교육학습관2023-09-282023-10-0136.600448127.287713044-410-14402023-07-07
29세종특별자치시 시설관리공단세종특별자치시 나성동 697-4행복도시 공영주차장 (도시상징광장)2023-09-282023-10-0136.486045127.263809044-850-12922023-07-07
30세종특별자치시 시설관리공단세종특별자치시 금남면 신촌리 297-11행복도시 공영주차장 (용포로 공영주차장)2023-09-282023-10-0136.46843127.282307044-850-12922023-07-07