Overview

Dataset statistics

Number of variables11
Number of observations36
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory3.3 KiB
Average record size in memory93.7 B

Variable types

Categorical5
Text2
Numeric2
DateTime2

Dataset

Description광주광역시 서구의 무료개방주차장(명절연휴)에 대한 주차장명, 소재지도로명주소, 개방시작시간, 개방종료시간 등 현황입니다.
URLhttps://www.data.go.kr/data/15042571/fileData.do

Alerts

시도명 has constant value ""Constant
개방시작시간 has constant value ""Constant
개방종료시간 has constant value ""Constant
종일개방여부 has constant value ""Constant
주차장유형 is highly overall correlated with 전화번호High correlation
관리기관 is highly overall correlated with 전화번호High correlation
전화번호 is highly overall correlated with 주차장유형 and 1 other fieldsHigh correlation
주차장유형 is highly imbalanced (81.7%)Imbalance
전화번호 is highly imbalanced (68.8%)Imbalance
관리기관 is highly imbalanced (81.7%)Imbalance
소재지도로명주소 has unique valuesUnique
위도 has unique valuesUnique
경도 has unique valuesUnique

Reproduction

Analysis started2023-12-12 10:05:42.713801
Analysis finished2023-12-12 10:05:44.077064
Duration1.36 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
광주광역시
36 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
광주광역시 36
100.0%

Length

2023-12-12T19:05:44.158530image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T19:05:44.295784image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
광주광역시 36
100.0%

주차장명
Text

Distinct34
Distinct (%)94.4%
Missing0
Missing (%)0.0%
Memory size420.0 B
2023-12-12T19:05:44.484076image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length17
Median length15
Mean length12.25
Min length8

Characters and Unicode

Total characters441
Distinct characters70
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique33 ?
Unique (%)91.7%

Sample

1st row농성1동주거환경개선지구공영주차장
2nd row농성동공영주차장
3rd row농성1동 주민센터 주차장
4th row농성2동 주민센터 주차장
5th row농성1동주거환경개선지구공영주차장
ValueCountFrequency (%)
주차장 20
24.4%
주민센터 15
18.3%
공영주차장 7
 
8.5%
농성1동주거환경개선지구공영주차장 3
 
3.7%
화정4동 2
 
2.4%
화정1동 2
 
2.4%
덕흥동 2
 
2.4%
화정2동 2
 
2.4%
서창동 2
 
2.4%
상무2동 2
 
2.4%
Other values (23) 25
30.5%
2023-12-12T19:05:44.864649image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 57
 
12.9%
46
 
10.4%
장 35
 
7.9%
차 34
 
7.7%
동 31
 
7.0%
민 16
 
3.6%
센 15
 
3.4%
터 15
 
3.4%
공 14
 
3.2%
영 13
 
2.9%
Other values (60) 165
37.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 375
85.0%
Space Separator 46
 
10.4%
Decimal Number 20
 
4.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 57
15.2%
장 35
 
9.3%
차 34
 
9.1%
동 31
 
8.3%
민 16
 
4.3%
센 15
 
4.0%
터 15
 
4.0%
공 14
 
3.7%
영 13
 
3.5%
화 9
 
2.4%
Other values (55) 136
36.3%
Decimal Number
ValueCountFrequency (%)
1 8
40.0%
2 6
30.0%
3 4
20.0%
4 2
 
10.0%
Space Separator
ValueCountFrequency (%)
46
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 375
85.0%
Common 66
 
15.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 57
15.2%
장 35
 
9.3%
차 34
 
9.1%
동 31
 
8.3%
민 16
 
4.3%
센 15
 
4.0%
터 15
 
4.0%
공 14
 
3.7%
영 13
 
3.5%
화 9
 
2.4%
Other values (55) 136
36.3%
Common
ValueCountFrequency (%)
46
69.7%
1 8
 
12.1%
2 6
 
9.1%
3 4
 
6.1%
4 2
 
3.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 375
85.0%
ASCII 66
 
15.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 57
15.2%
장 35
 
9.3%
차 34
 
9.1%
동 31
 
8.3%
민 16
 
4.3%
센 15
 
4.0%
터 15
 
4.0%
공 14
 
3.7%
영 13
 
3.5%
화 9
 
2.4%
Other values (55) 136
36.3%
ASCII
ValueCountFrequency (%)
46
69.7%
1 8
 
12.1%
2 6
 
9.1%
3 4
 
6.1%
4 2
 
3.0%

주차장유형
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct2
Distinct (%)5.6%
Missing0
Missing (%)0.0%
Memory size420.0 B
노외
35 
부설
 
1

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique1 ?
Unique (%)2.8%

Sample

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

Common Values

ValueCountFrequency (%)
노외 35
97.2%
부설 1
 
2.8%

Length

2023-12-12T19:05:45.046047image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T19:05:45.164774image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
노외 35
97.2%
부설 1
 
2.8%

소재지도로명주소
Text

UNIQUE 

Distinct36
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size420.0 B
2023-12-12T19:05:45.402188image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length19
Median length18
Mean length16.777778
Min length14

Characters and Unicode

Total characters604
Distinct characters41
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

Unique36 ?
Unique (%)100.0%

Sample

1st row광주광역시 서구 농성동30-10
2nd row광주광역시 서구 농성동 109
3rd row광주광역시 서구 농성동345-15
4th row광주광역시 서구 농성동630-7
5th row광주광역시 서구 농성동69-1
ValueCountFrequency (%)
광주광역시 36
30.0%
서구 36
30.0%
화정동 5
 
4.2%
풍암동 2
 
1.7%
쌍촌동 2
 
1.7%
화정동818-9 1
 
0.8%
양동307-9 1
 
0.8%
양동461 1
 
0.8%
100 1
 
0.8%
유촌동148 1
 
0.8%
Other values (34) 34
28.3%
2023-12-12T19:05:45.888141image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
84
13.9%
광 72
11.9%
1 41
 
6.8%
서 37
 
6.1%
역 36
 
6.0%
시 36
 
6.0%
구 36
 
6.0%
주 36
 
6.0%
동 36
 
6.0%
- 23
 
3.8%
Other values (31) 167
27.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 357
59.1%
Decimal Number 140
 
23.2%
Space Separator 84
 
13.9%
Dash Punctuation 23
 
3.8%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
광 72
20.2%
서 37
10.4%
역 36
10.1%
시 36
10.1%
구 36
10.1%
주 36
10.1%
동 36
10.1%
정 9
 
2.5%
화 9
 
2.5%
촌 6
 
1.7%
Other values (19) 44
12.3%
Decimal Number
ValueCountFrequency (%)
1 41
29.3%
5 16
 
11.4%
4 12
 
8.6%
2 12
 
8.6%
0 12
 
8.6%
9 12
 
8.6%
6 10
 
7.1%
7 9
 
6.4%
3 8
 
5.7%
8 8
 
5.7%
Space Separator
ValueCountFrequency (%)
84
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 23
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 357
59.1%
Common 247
40.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
광 72
20.2%
서 37
10.4%
역 36
10.1%
시 36
10.1%
구 36
10.1%
주 36
10.1%
동 36
10.1%
정 9
 
2.5%
화 9
 
2.5%
촌 6
 
1.7%
Other values (19) 44
12.3%
Common
ValueCountFrequency (%)
84
34.0%
1 41
16.6%
- 23
 
9.3%
5 16
 
6.5%
4 12
 
4.9%
2 12
 
4.9%
0 12
 
4.9%
9 12
 
4.9%
6 10
 
4.0%
7 9
 
3.6%
Other values (2) 16
 
6.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 357
59.1%
ASCII 247
40.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
84
34.0%
1 41
16.6%
- 23
 
9.3%
5 16
 
6.5%
4 12
 
4.9%
2 12
 
4.9%
0 12
 
4.9%
9 12
 
4.9%
6 10
 
4.0%
7 9
 
3.6%
Other values (2) 16
 
6.5%
Hangul
ValueCountFrequency (%)
광 72
20.2%
서 37
10.4%
역 36
10.1%
시 36
10.1%
구 36
10.1%
주 36
10.1%
동 36
10.1%
정 9
 
2.5%
화 9
 
2.5%
촌 6
 
1.7%
Other values (19) 44
12.3%

위도
Real number (ℝ)

UNIQUE 

Distinct36
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean35.148452
Minimum35.114522
Maximum35.171703
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size456.0 B
2023-12-12T19:05:46.067061image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum35.114522
5-th percentile35.122442
Q135.142451
median35.150123
Q335.156673
95-th percentile35.165935
Maximum35.171703
Range0.057181
Interquartile range (IQR)0.014222

Descriptive statistics

Standard deviation0.013643919
Coefficient of variation (CV)0.0003881798
Kurtosis0.58222249
Mean35.148452
Median Absolute Deviation (MAD)0.0069805
Skewness-0.82622715
Sum1265.3443
Variance0.00018615653
MonotonicityNot monotonic
2023-12-12T19:05:46.217073image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=36)
ValueCountFrequency (%)
35.156464 1
 
2.8%
35.154589 1
 
2.8%
35.165294 1
 
2.8%
35.149944 1
 
2.8%
35.124734 1
 
2.8%
35.129307 1
 
2.8%
35.126113 1
 
2.8%
35.157319 1
 
2.8%
35.13646 1
 
2.8%
35.141949 1
 
2.8%
Other values (26) 26
72.2%
ValueCountFrequency (%)
35.114522 1
2.8%
35.115565 1
2.8%
35.124734 1
2.8%
35.126113 1
2.8%
35.129307 1
2.8%
35.13646 1
2.8%
35.141502 1
2.8%
35.141949 1
2.8%
35.142193 1
2.8%
35.142537 1
2.8%
ValueCountFrequency (%)
35.171703 1
2.8%
35.166903 1
2.8%
35.16561293 1
2.8%
35.165562 1
2.8%
35.165294 1
2.8%
35.16009995 1
2.8%
35.158763 1
2.8%
35.157319 1
2.8%
35.156871 1
2.8%
35.156607 1
2.8%

경도
Real number (ℝ)

UNIQUE 

Distinct36
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean126.87102
Minimum126.83012
Maximum126.90715
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size456.0 B
2023-12-12T19:05:46.367125image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum126.83012
5-th percentile126.83406
Q1126.85722
median126.87471
Q3126.88841
95-th percentile126.9002
Maximum126.90715
Range0.077024
Interquartile range (IQR)0.03118825

Descriptive statistics

Standard deviation0.020964042
Coefficient of variation (CV)0.00016523901
Kurtosis-0.62064824
Mean126.87102
Median Absolute Deviation (MAD)0.0153795
Skewness-0.47272688
Sum4567.3569
Variance0.00043949106
MonotonicityNot monotonic
2023-12-12T19:05:46.545842image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=36)
ValueCountFrequency (%)
126.891501 1
 
2.8%
126.900014 1
 
2.8%
126.851814 1
 
2.8%
126.843333 1
 
2.8%
126.87867 1
 
2.8%
126.882084 1
 
2.8%
126.869162 1
 
2.8%
126.876594 1
 
2.8%
126.870573 1
 
2.8%
126.878307 1
 
2.8%
Other values (26) 26
72.2%
ValueCountFrequency (%)
126.830122 1
2.8%
126.830289 1
2.8%
126.835313 1
2.8%
126.837086 1
2.8%
126.8376228 1
2.8%
126.843333 1
2.8%
126.8514631 1
2.8%
126.851814 1
2.8%
126.852735 1
2.8%
126.858716 1
2.8%
ValueCountFrequency (%)
126.907146 1
2.8%
126.900756 1
2.8%
126.900014 1
2.8%
126.892477 1
2.8%
126.891772 1
2.8%
126.891501 1
2.8%
126.891008 1
2.8%
126.890288 1
2.8%
126.8899 1
2.8%
126.887912 1
2.8%

개방시작시간
Date

CONSTANT 

Distinct1
Distinct (%)2.8%
Missing0
Missing (%)0.0%
Memory size420.0 B
Minimum2023-12-12 00:00:00
Maximum2023-12-12 00:00:00
2023-12-12T19:05:46.677060image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T19:05:46.781677image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

개방종료시간
Date

CONSTANT 

Distinct1
Distinct (%)2.8%
Missing0
Missing (%)0.0%
Memory size420.0 B
Minimum2023-12-12 23:59:00
Maximum2023-12-12 23:59:00
2023-12-12T19:05:46.889507image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T19:05:47.064647image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

종일개방여부
Categorical

CONSTANT 

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

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
종일개방 36
100.0%

Length

2023-12-12T19:05:47.248053image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T19:05:47.390804image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
종일개방 36
100.0%

전화번호
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct5
Distinct (%)13.9%
Missing0
Missing (%)0.0%
Memory size420.0 B
062-360-7810
32 
062-360-4583
 
1
062-360-7135
 
1
062-360-7174
 
1
062-613-3193
 
1

Length

Max length12
Median length12
Mean length12
Min length12

Unique

Unique4 ?
Unique (%)11.1%

Sample

1st row062-360-7810
2nd row062-360-7810
3rd row062-360-7810
4th row062-360-7810
5th row062-360-7810

Common Values

ValueCountFrequency (%)
062-360-7810 32
88.9%
062-360-4583 1
 
2.8%
062-360-7135 1
 
2.8%
062-360-7174 1
 
2.8%
062-613-3193 1
 
2.8%

Length

2023-12-12T19:05:47.530162image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T19:05:47.650306image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
062-360-7810 32
88.9%
062-360-4583 1
 
2.8%
062-360-7135 1
 
2.8%
062-360-7174 1
 
2.8%
062-613-3193 1
 
2.8%

관리기관
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct2
Distinct (%)5.6%
Missing0
Missing (%)0.0%
Memory size420.0 B
광주광역시 서구청
35 
광주광역시청
 
1

Length

Max length9
Median length9
Mean length8.9166667
Min length6

Unique

Unique1 ?
Unique (%)2.8%

Sample

1st row광주광역시 서구청
2nd row광주광역시 서구청
3rd row광주광역시 서구청
4th row광주광역시 서구청
5th row광주광역시 서구청

Common Values

ValueCountFrequency (%)
광주광역시 서구청 35
97.2%
광주광역시청 1
 
2.8%

Length

2023-12-12T19:05:47.821971image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T19:05:48.281320image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
광주광역시 35
49.3%
서구청 35
49.3%
광주광역시청 1
 
1.4%

Interactions

2023-12-12T19:05:43.466563image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T19:05:43.195567image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T19:05:43.599401image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T19:05:43.328496image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T19:05:48.388231image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
주차장명주차장유형소재지도로명주소위도경도전화번호관리기관
주차장명1.0001.0001.0000.9811.0001.0001.000
주차장유형1.0001.0001.0000.0000.3811.0000.664
소재지도로명주소1.0001.0001.0001.0001.0001.0001.000
위도0.9810.0001.0001.0000.6720.8110.000
경도1.0000.3811.0000.6721.0000.0000.381
전화번호1.0001.0001.0000.8110.0001.0001.000
관리기관1.0000.6641.0000.0000.3811.0001.000
2023-12-12T19:05:48.498510image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
주차장유형관리기관전화번호
주차장유형1.0000.4620.955
관리기관0.4621.0000.955
전화번호0.9550.9551.000
2023-12-12T19:05:48.590357image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
위도경도주차장유형전화번호관리기관
위도1.0000.0520.0000.4210.000
경도0.0521.0000.2430.0000.243
주차장유형0.0000.2431.0000.9550.462
전화번호0.4210.0000.9551.0000.955
관리기관0.0000.2430.4620.9551.000

Missing values

2023-12-12T19:05:43.784375image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T19:05:43.998803image/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

시도명주차장명주차장유형소재지도로명주소위도경도개방시작시간개방종료시간종일개방여부전화번호관리기관
0광주광역시농성1동주거환경개선지구공영주차장노외광주광역시 서구 농성동30-1035.156464126.89150100:0023:59종일개방062-360-7810광주광역시 서구청
1광주광역시농성동공영주차장노외광주광역시 서구 농성동 10935.152735126.89177200:0023:59종일개방062-360-7810광주광역시 서구청
2광주광역시농성1동 주민센터 주차장노외광주광역시 서구 농성동345-1535.156871126.889900:0023:59종일개방062-360-7810광주광역시 서구청
3광주광역시농성2동 주민센터 주차장노외광주광역시 서구 농성동630-735.150181126.89028800:0023:59종일개방062-360-7810광주광역시 서구청
4광주광역시농성1동주거환경개선지구공영주차장노외광주광역시 서구 농성동69-135.15394126.89100800:0023:59종일개방062-360-7810광주광역시 서구청
5광주광역시농성1동주거환경개선지구공영주차장노외광주광역시 서구 농성동74-1235.154566126.88791200:0023:59종일개방062-360-7810광주광역시 서구청
6광주광역시동천동 주민센터 주차장노외광주광역시 서구 동천동61135.171703126.85871600:0023:59종일개방062-360-7810광주광역시 서구청
7광주광역시덕흥동 주거환경개선지구1노외광주광역시 서구 덕흥동57035.165613126.83762300:0023:59종일개방062-360-7810광주광역시 서구청
8광주광역시덕흥동 주거환경개선지구2노외광주광역시 서구 덕흥동808-135.166903126.83531300:0023:59종일개방062-360-7810광주광역시 서구청
9광주광역시서창동 주거환경개선지구 주차장노외광주광역시 서구 서창동 555-135.14491126.83708600:0023:59종일개방062-360-7810광주광역시 서구청
시도명주차장명주차장유형소재지도로명주소위도경도개방시작시간개방종료시간종일개방여부전화번호관리기관
26광주광역시화정1동 공영주차장노외광주광역시 서구 화정동 10035.157319126.87659400:0023:59종일개방062-360-7135광주광역시 서구청
27광주광역시화정2동 주민센터 주차장노외광주광역시 서구 화정동 161135.13646126.87057300:0023:59종일개방062-360-7174광주광역시 서구청
28광주광역시화정3동 공영주차장노외광주광역시 서구 화정동 842-635.141949126.87830700:0023:59종일개방062-360-7810광주광역시 서구청
29광주광역시화정4동 공영주차장노외광주광역시 서구 화정동 916-935.142537126.87325600:0023:59종일개방062-360-7810광주광역시 서구청
30광주광역시화정2동 공영주차장노외광주광역시 서구 화정동 95035.143358126.88665900:0023:59종일개방062-360-7810광주광역시 서구청
31광주광역시고운하이플러스공영주차장노외광주광역시 서구 화정동170535.142193126.87577700:0023:59종일개방062-360-7810광주광역시 서구청
32광주광역시화정1동 주민센터 주차장노외광주광역시 서구 화정동74-1135.156607126.87779400:0023:59종일개방062-360-7810광주광역시 서구청
33광주광역시화정3동 주민센터 주차장노외광주광역시 서구 화정동818-935.143468126.87695500:0023:59종일개방062-360-7810광주광역시 서구청
34광주광역시화정4동 주민센터 주차장노외광주광역시 서구 화정동919-2135.141502126.87365200:0023:59종일개방062-360-7810광주광역시 서구청
35광주광역시광주광역시청 부설주차장부설광주광역시 서구 내방로11135.1601126.85146300:0023:59종일개방062-613-3193광주광역시청