Overview

Dataset statistics

Number of variables31
Number of observations362
Missing cells897
Missing cells (%)8.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory91.3 KiB
Average record size in memory258.4 B

Variable types

Text5
Categorical12
Numeric5
Unsupported8
DateTime1

Dataset

Description전라북도_주차장정보_20171115
Author전라북도
URLhttps://www.bigdatahub.go.kr/opendata/dataSet/detail.nm?contentId=37&rlik=49451aebf056b486&serviceId=202966

Alerts

부제시행구분 has constant value ""Constant
데이터기준일자 has constant value ""Constant
주차장구분 is highly imbalanced (86.8%)Imbalance
주차장유형 is highly imbalanced (52.6%)Imbalance
운영요일 is highly imbalanced (80.4%)Imbalance
요금정보 is highly imbalanced (63.1%)Imbalance
주차기본시간 is highly imbalanced (54.6%)Imbalance
주차기본요금 is highly imbalanced (54.3%)Imbalance
추가단위시간 is highly imbalanced (63.6%)Imbalance
1일주차권요금적용시간 is highly imbalanced (78.1%)Imbalance
월정기권요금 is highly imbalanced (86.5%)Imbalance
결제방법 is highly imbalanced (73.4%)Imbalance
추가단위요금 has 297 (82.0%) missing valuesMissing
1일주차권요금 has 298 (82.3%) missing valuesMissing
특기사항 has 302 (83.4%) missing valuesMissing
급지구분 is an unsupported type, check if it needs cleaning or further analysisUnsupported
평일운영시작시각 is an unsupported type, check if it needs cleaning or further analysisUnsupported
평일운영종료시각 is an unsupported type, check if it needs cleaning or further analysisUnsupported
토요일운영시작시각 is an unsupported type, check if it needs cleaning or further analysisUnsupported
토요일운영종료시각 is an unsupported type, check if it needs cleaning or further analysisUnsupported
공휴일운영시작시각 is an unsupported type, check if it needs cleaning or further analysisUnsupported
공휴일운영종료시각 is an unsupported type, check if it needs cleaning or further analysisUnsupported
특기사항 is an unsupported type, check if it needs cleaning or further analysisUnsupported
추가단위요금 has 27 (7.5%) zerosZeros
1일주차권요금 has 27 (7.5%) zerosZeros

Reproduction

Analysis started2024-03-14 05:47:17.323041
Analysis finished2024-03-14 05:47:18.121197
Duration0.8 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

주차장관리번호
Text

Distinct339
Distinct (%)93.6%
Missing0
Missing (%)0.0%
Memory size3.0 KiB
2024-03-14T14:47:18.327992image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length11.558011
Min length11

Characters and Unicode

Total characters4184
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

Unique317 ?
Unique (%)87.6%

Sample

1st row100-2-00001
2nd row100-2-00003
3rd row100-2-00004
4th row100-2-00002
5th row100-2-00005
ValueCountFrequency (%)
319-2-00022 3
 
0.8%
319-2-00021 2
 
0.6%
319-2-00012 2
 
0.6%
319-2-00002 2
 
0.6%
319-2-00008 2
 
0.6%
319-2-00007 2
 
0.6%
319-2-00003 2
 
0.6%
319-2-00005 2
 
0.6%
319-2-00004 2
 
0.6%
319-2-00011 2
 
0.6%
Other values (329) 341
94.2%
2024-03-14T14:47:18.834962image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 1720
41.1%
- 724
17.3%
2 408
 
9.8%
1 401
 
9.6%
3 371
 
8.9%
8 195
 
4.7%
9 97
 
2.3%
5 84
 
2.0%
7 68
 
1.6%
6 58
 
1.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 3460
82.7%
Dash Punctuation 724
 
17.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 1720
49.7%
2 408
 
11.8%
1 401
 
11.6%
3 371
 
10.7%
8 195
 
5.6%
9 97
 
2.8%
5 84
 
2.4%
7 68
 
2.0%
6 58
 
1.7%
4 58
 
1.7%
Dash Punctuation
ValueCountFrequency (%)
- 724
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 4184
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 1720
41.1%
- 724
17.3%
2 408
 
9.8%
1 401
 
9.6%
3 371
 
8.9%
8 195
 
4.7%
9 97
 
2.3%
5 84
 
2.0%
7 68
 
1.6%
6 58
 
1.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 4184
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 1720
41.1%
- 724
17.3%
2 408
 
9.8%
1 401
 
9.6%
3 371
 
8.9%
8 195
 
4.7%
9 97
 
2.3%
5 84
 
2.0%
7 68
 
1.6%
6 58
 
1.4%

주차장명
Text

Distinct354
Distinct (%)97.8%
Missing0
Missing (%)0.0%
Memory size3.0 KiB
2024-03-14T14:47:19.143680image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length15
Median length13
Mean length8.1298343
Min length3

Characters and Unicode

Total characters2943
Distinct characters285
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

Unique347 ?
Unique (%)95.9%

Sample

1st row오거리
2nd row건산천1
3rd row건산천2
4th row덕진광장
5th row삼천2동
ValueCountFrequency (%)
주차장 135
 
23.0%
서부신시가지 13
 
2.2%
만남의광장 6
 
1.0%
앞 6
 
1.0%
하가지구 6
 
1.0%
옆 6
 
1.0%
공영주차장 5
 
0.9%
임시공영주차장 5
 
0.9%
아중지구 4
 
0.7%
뒤 4
 
0.7%
Other values (381) 398
67.7%
2024-03-14T14:47:19.760071image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
장 303
 
10.3%
주 266
 
9.0%
차 254
 
8.6%
226
 
7.7%
마 114
 
3.9%
을 110
 
3.7%
공 69
 
2.3%
동 64
 
2.2%
영 64
 
2.2%
시 52
 
1.8%
Other values (275) 1421
48.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2627
89.3%
Space Separator 226
 
7.7%
Decimal Number 49
 
1.7%
Uppercase Letter 22
 
0.7%
Close Punctuation 8
 
0.3%
Open Punctuation 7
 
0.2%
Other Punctuation 4
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
장 303
 
11.5%
주 266
 
10.1%
차 254
 
9.7%
마 114
 
4.3%
을 110
 
4.2%
공 69
 
2.6%
동 64
 
2.4%
영 64
 
2.4%
시 52
 
2.0%
산 46
 
1.8%
Other values (255) 1285
48.9%
Uppercase Letter
ValueCountFrequency (%)
B 4
18.2%
A 3
13.6%
P 3
13.6%
T 3
13.6%
K 3
13.6%
C 2
9.1%
S 2
9.1%
M 2
9.1%
Decimal Number
ValueCountFrequency (%)
2 23
46.9%
1 18
36.7%
3 4
 
8.2%
5 1
 
2.0%
9 1
 
2.0%
6 1
 
2.0%
4 1
 
2.0%
Other Punctuation
ValueCountFrequency (%)
@ 2
50.0%
. 2
50.0%
Space Separator
ValueCountFrequency (%)
226
100.0%
Close Punctuation
ValueCountFrequency (%)
) 8
100.0%
Open Punctuation
ValueCountFrequency (%)
( 7
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2627
89.3%
Common 294
 
10.0%
Latin 22
 
0.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
장 303
 
11.5%
주 266
 
10.1%
차 254
 
9.7%
마 114
 
4.3%
을 110
 
4.2%
공 69
 
2.6%
동 64
 
2.4%
영 64
 
2.4%
시 52
 
2.0%
산 46
 
1.8%
Other values (255) 1285
48.9%
Common
ValueCountFrequency (%)
226
76.9%
2 23
 
7.8%
1 18
 
6.1%
) 8
 
2.7%
( 7
 
2.4%
3 4
 
1.4%
@ 2
 
0.7%
. 2
 
0.7%
5 1
 
0.3%
9 1
 
0.3%
Other values (2) 2
 
0.7%
Latin
ValueCountFrequency (%)
B 4
18.2%
A 3
13.6%
P 3
13.6%
T 3
13.6%
K 3
13.6%
C 2
9.1%
S 2
9.1%
M 2
9.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2627
89.3%
ASCII 316
 
10.7%

Most frequent character per block

Hangul
ValueCountFrequency (%)
장 303
 
11.5%
주 266
 
10.1%
차 254
 
9.7%
마 114
 
4.3%
을 110
 
4.2%
공 69
 
2.6%
동 64
 
2.4%
영 64
 
2.4%
시 52
 
2.0%
산 46
 
1.8%
Other values (255) 1285
48.9%
ASCII
ValueCountFrequency (%)
226
71.5%
2 23
 
7.3%
1 18
 
5.7%
) 8
 
2.5%
( 7
 
2.2%
3 4
 
1.3%
B 4
 
1.3%
A 3
 
0.9%
P 3
 
0.9%
T 3
 
0.9%
Other values (10) 17
 
5.4%

주차장구분
Categorical

IMBALANCE 

Distinct3
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size3.0 KiB
공영
352 
공영(부설)
 
6
민영
 
4

Length

Max length6
Median length2
Mean length2.0662983
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
공영 352
97.2%
공영(부설) 6
 
1.7%
민영 4
 
1.1%

Length

2024-03-14T14:47:20.019646image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T14:47:20.240393image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
공영 352
97.2%
공영(부설 6
 
1.7%
민영 4
 
1.1%

주차장유형
Categorical

IMBALANCE 

Distinct3
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size3.0 KiB
노외
306 
노상
41 
부설
 
15

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
노외 306
84.5%
노상 41
 
11.3%
부설 15
 
4.1%

Length

2024-03-14T14:47:20.452440image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T14:47:20.651794image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
노외 306
84.5%
노상 41
 
11.3%
부설 15
 
4.1%

소재지도로명주소
Text

Distinct359
Distinct (%)99.2%
Missing0
Missing (%)0.0%
Memory size3.0 KiB
2024-03-14T14:47:21.050605image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length25
Median length23
Mean length20.01105
Min length15

Characters and Unicode

Total characters7244
Distinct characters216
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique356 ?
Unique (%)98.3%

Sample

1st row전라북도 전주시 완산구 팔달로 217-21
2nd row전라북도 전주시 덕진구 숲정이5길 7
3rd row전라북도 전주시 덕진구 태진로 125-22
4th row전라북도 전주시 덕진구 덕진광장로 3
5th row전라북도 전주시 완산구 상거마4길 24
ValueCountFrequency (%)
전라북도 362
 
20.8%
익산시 132
 
7.6%
전주시 77
 
4.4%
완산구 42
 
2.4%
덕진구 35
 
2.0%
부안군 25
 
1.4%
남원시 23
 
1.3%
고창군 22
 
1.3%
김제시 20
 
1.1%
장수군 19
 
1.1%
Other values (628) 985
56.5%
2024-03-14T14:47:21.751733image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1383
19.1%
전 446
 
6.2%
북 373
 
5.1%
라 372
 
5.1%
도 364
 
5.0%
시 280
 
3.9%
1 268
 
3.7%
산 245
 
3.4%
길 188
 
2.6%
2 160
 
2.2%
Other values (206) 3165
43.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 4585
63.3%
Space Separator 1383
 
19.1%
Decimal Number 1126
 
15.5%
Dash Punctuation 146
 
2.0%
Open Punctuation 2
 
< 0.1%
Close Punctuation 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
전 446
 
9.7%
북 373
 
8.1%
라 372
 
8.1%
도 364
 
7.9%
시 280
 
6.1%
산 245
 
5.3%
길 188
 
4.1%
면 144
 
3.1%
익 134
 
2.9%
로 102
 
2.2%
Other values (192) 1937
42.2%
Decimal Number
ValueCountFrequency (%)
1 268
23.8%
2 160
14.2%
3 143
12.7%
6 92
 
8.2%
5 90
 
8.0%
4 86
 
7.6%
7 85
 
7.5%
8 71
 
6.3%
0 67
 
6.0%
9 64
 
5.7%
Space Separator
ValueCountFrequency (%)
1383
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 146
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 4585
63.3%
Common 2659
36.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
전 446
 
9.7%
북 373
 
8.1%
라 372
 
8.1%
도 364
 
7.9%
시 280
 
6.1%
산 245
 
5.3%
길 188
 
4.1%
면 144
 
3.1%
익 134
 
2.9%
로 102
 
2.2%
Other values (192) 1937
42.2%
Common
ValueCountFrequency (%)
1383
52.0%
1 268
 
10.1%
2 160
 
6.0%
- 146
 
5.5%
3 143
 
5.4%
6 92
 
3.5%
5 90
 
3.4%
4 86
 
3.2%
7 85
 
3.2%
8 71
 
2.7%
Other values (4) 135
 
5.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 4585
63.3%
ASCII 2659
36.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1383
52.0%
1 268
 
10.1%
2 160
 
6.0%
- 146
 
5.5%
3 143
 
5.4%
6 92
 
3.5%
5 90
 
3.4%
4 86
 
3.2%
7 85
 
3.2%
8 71
 
2.7%
Other values (4) 135
 
5.1%
Hangul
ValueCountFrequency (%)
전 446
 
9.7%
북 373
 
8.1%
라 372
 
8.1%
도 364
 
7.9%
시 280
 
6.1%
산 245
 
5.3%
길 188
 
4.1%
면 144
 
3.1%
익 134
 
2.9%
로 102
 
2.2%
Other values (192) 1937
42.2%

소재지지번주소
Text

Distinct360
Distinct (%)99.4%
Missing0
Missing (%)0.0%
Memory size3.0 KiB
2024-03-14T14:47:22.163958image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length27
Median length25
Mean length21.370166
Min length15

Characters and Unicode

Total characters7736
Distinct characters167
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

Unique358 ?
Unique (%)98.9%

Sample

1st row전라북도 전주시 완산구 고사동 11-8
2nd row전라북도 전주시 덕진구 진북동 434-34
3rd row전라북도 전주시 덕진구 금암동 456-12
4th row전라북도 전주시 덕진구 덕진동1가 1278-1
5th row전라북도 전주시 완산구 삼천동1가 632-5
ValueCountFrequency (%)
전라북도 362
 
20.8%
익산시 132
 
7.6%
전주시 77
 
4.4%
완산구 42
 
2.4%
덕진구 34
 
2.0%
부안군 25
 
1.4%
남원시 23
 
1.3%
고창군 22
 
1.3%
김제시 20
 
1.1%
장수군 19
 
1.1%
Other values (608) 985
56.6%
2024-03-14T14:47:22.854252image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1379
 
17.8%
전 443
 
5.7%
라 371
 
4.8%
도 367
 
4.7%
북 365
 
4.7%
1 316
 
4.1%
- 296
 
3.8%
시 275
 
3.6%
산 249
 
3.2%
2 210
 
2.7%
Other values (157) 3465
44.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 4563
59.0%
Decimal Number 1498
 
19.4%
Space Separator 1379
 
17.8%
Dash Punctuation 296
 
3.8%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
전 443
 
9.7%
라 371
 
8.1%
도 367
 
8.0%
북 365
 
8.0%
시 275
 
6.0%
산 249
 
5.5%
리 210
 
4.6%
동 170
 
3.7%
면 143
 
3.1%
익 132
 
2.9%
Other values (145) 1838
40.3%
Decimal Number
ValueCountFrequency (%)
1 316
21.1%
2 210
14.0%
3 173
11.5%
6 140
9.3%
5 133
8.9%
4 131
8.7%
8 108
 
7.2%
7 106
 
7.1%
9 92
 
6.1%
0 89
 
5.9%
Space Separator
ValueCountFrequency (%)
1379
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 296
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 4563
59.0%
Common 3173
41.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
전 443
 
9.7%
라 371
 
8.1%
도 367
 
8.0%
북 365
 
8.0%
시 275
 
6.0%
산 249
 
5.5%
리 210
 
4.6%
동 170
 
3.7%
면 143
 
3.1%
익 132
 
2.9%
Other values (145) 1838
40.3%
Common
ValueCountFrequency (%)
1379
43.5%
1 316
 
10.0%
- 296
 
9.3%
2 210
 
6.6%
3 173
 
5.5%
6 140
 
4.4%
5 133
 
4.2%
4 131
 
4.1%
8 108
 
3.4%
7 106
 
3.3%
Other values (2) 181
 
5.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 4563
59.0%
ASCII 3173
41.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1379
43.5%
1 316
 
10.0%
- 296
 
9.3%
2 210
 
6.6%
3 173
 
5.5%
6 140
 
4.4%
5 133
 
4.2%
4 131
 
4.1%
8 108
 
3.4%
7 106
 
3.3%
Other values (2) 181
 
5.7%
Hangul
ValueCountFrequency (%)
전 443
 
9.7%
라 371
 
8.1%
도 367
 
8.0%
북 365
 
8.0%
시 275
 
6.0%
산 249
 
5.5%
리 210
 
4.6%
동 170
 
3.7%
면 143
 
3.1%
익 132
 
2.9%
Other values (145) 1838
40.3%

주차구획수
Real number (ℝ)

Distinct120
Distinct (%)33.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean72.256906
Minimum4
Maximum2980
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.3 KiB
2024-03-14T14:47:23.103483image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum4
5-th percentile10
Q119
median34.5
Q368
95-th percentile209.5
Maximum2980
Range2976
Interquartile range (IQR)49

Descriptive statistics

Standard deviation187.47586
Coefficient of variation (CV)2.5945736
Kurtosis165.28043
Mean72.256906
Median Absolute Deviation (MAD)19.5
Skewness11.51987
Sum26157
Variance35147.2
MonotonicityNot monotonic
2024-03-14T14:47:23.374732image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
15 23
 
6.4%
50 14
 
3.9%
20 12
 
3.3%
17 10
 
2.8%
12 9
 
2.5%
30 9
 
2.5%
28 9
 
2.5%
29 8
 
2.2%
70 8
 
2.2%
10 7
 
1.9%
Other values (110) 253
69.9%
ValueCountFrequency (%)
4 2
 
0.6%
6 3
 
0.8%
7 3
 
0.8%
8 2
 
0.6%
9 4
1.1%
10 7
1.9%
11 5
1.4%
12 9
2.5%
13 5
1.4%
14 6
1.7%
ValueCountFrequency (%)
2980 1
0.3%
1092 1
0.3%
1000 1
0.3%
840 1
0.3%
638 1
0.3%
500 1
0.3%
343 1
0.3%
313 1
0.3%
306 1
0.3%
301 1
0.3%

급지구분
Unsupported

REJECTED  UNSUPPORTED 

Missing0
Missing (%)0.0%
Memory size3.0 KiB

부제시행구분
Categorical

CONSTANT 

Distinct1
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size3.0 KiB
미시행
362 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
미시행 362
100.0%

Length

2024-03-14T14:47:23.707812image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T14:47:23.894341image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
미시행 362
100.0%

운영요일
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size3.0 KiB
평일+토요일+공휴일
351 
평일+공휴일
 
11

Length

Max length10
Median length10
Mean length9.878453
Min length6

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row평일+토요일+공휴일
2nd row평일+토요일+공휴일
3rd row평일+토요일+공휴일
4th row평일+토요일+공휴일
5th row평일+토요일+공휴일

Common Values

ValueCountFrequency (%)
평일+토요일+공휴일 351
97.0%
평일+공휴일 11
 
3.0%

Length

2024-03-14T14:47:24.105277image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T14:47:24.319981image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
평일+토요일+공휴일 351
97.0%
평일+공휴일 11
 
3.0%

평일운영시작시각
Unsupported

REJECTED  UNSUPPORTED 

Missing0
Missing (%)0.0%
Memory size3.0 KiB

평일운영종료시각
Unsupported

REJECTED  UNSUPPORTED 

Missing0
Missing (%)0.0%
Memory size3.0 KiB

토요일운영시작시각
Unsupported

REJECTED  UNSUPPORTED 

Missing0
Missing (%)0.0%
Memory size3.0 KiB

토요일운영종료시각
Unsupported

REJECTED  UNSUPPORTED 

Missing0
Missing (%)0.0%
Memory size3.0 KiB

공휴일운영시작시각
Unsupported

REJECTED  UNSUPPORTED 

Missing0
Missing (%)0.0%
Memory size3.0 KiB

공휴일운영종료시각
Unsupported

REJECTED  UNSUPPORTED 

Missing0
Missing (%)0.0%
Memory size3.0 KiB

요금정보
Categorical

IMBALANCE 

Distinct3
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size3.0 KiB
무료
321 
유료
34 
혼합
 
7

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row유료
2nd row혼합
3rd row혼합
4th row유료
5th row유료

Common Values

ValueCountFrequency (%)
무료 321
88.7%
유료 34
 
9.4%
혼합 7
 
1.9%

Length

2024-03-14T14:47:24.524552image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T14:47:24.749418image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
무료 321
88.7%
유료 34
 
9.4%
혼합 7
 
1.9%

주차기본시간
Categorical

IMBALANCE 

Distinct6
Distinct (%)1.7%
Missing0
Missing (%)0.0%
Memory size3.0 KiB
<NA>
274 
0
45 
30
33 
24
 
5
60
 
4

Length

Max length4
Median length4
Mean length3.3950276
Min length1

Unique

Unique1 ?
Unique (%)0.3%

Sample

1st row30
2nd row30
3rd row30
4th row30
5th row30

Common Values

ValueCountFrequency (%)
<NA> 274
75.7%
0 45
 
12.4%
30 33
 
9.1%
24 5
 
1.4%
60 4
 
1.1%
2000 1
 
0.3%

Length

2024-03-14T14:47:25.165986image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T14:47:25.376200image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 274
75.7%
0 45
 
12.4%
30 33
 
9.1%
24 5
 
1.4%
60 4
 
1.1%
2000 1
 
0.3%

주차기본요금
Categorical

IMBALANCE 

Distinct6
Distinct (%)1.7%
Missing0
Missing (%)0.0%
Memory size3.0 KiB
<NA>
274 
0
51 
600
 
22
500
 
11
1000
 
3

Length

Max length4
Median length4
Mean length3.4861878
Min length1

Unique

Unique1 ?
Unique (%)0.3%

Sample

1st row600
2nd row500
3rd row500
4th row600
5th row500

Common Values

ValueCountFrequency (%)
<NA> 274
75.7%
0 51
 
14.1%
600 22
 
6.1%
500 11
 
3.0%
1000 3
 
0.8%
2000 1
 
0.3%

Length

2024-03-14T14:47:25.620348image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T14:47:25.993353image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 274
75.7%
0 51
 
14.1%
600 22
 
6.1%
500 11
 
3.0%
1000 3
 
0.8%
2000 1
 
0.3%

추가단위시간
Categorical

IMBALANCE 

Distinct6
Distinct (%)1.7%
Missing0
Missing (%)0.0%
Memory size3.0 KiB
<NA>
297 
15
32 
0
 
27
10
 
4
30
 
1

Length

Max length4
Median length4
Mean length3.5718232
Min length1

Unique

Unique2 ?
Unique (%)0.6%

Sample

1st row15
2nd row15
3rd row15
4th row15
5th row15

Common Values

ValueCountFrequency (%)
<NA> 297
82.0%
15 32
 
8.8%
0 27
 
7.5%
10 4
 
1.1%
30 1
 
0.3%
2000 1
 
0.3%

Length

2024-03-14T14:47:26.234569image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T14:47:26.462959image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 297
82.0%
15 32
 
8.8%
0 27
 
7.5%
10 4
 
1.1%
30 1
 
0.3%
2000 1
 
0.3%

추가단위요금
Real number (ℝ)

MISSING  ZEROS 

Distinct6
Distinct (%)9.2%
Missing297
Missing (%)82.0%
Infinite0
Infinite (%)0.0%
Mean202.30769
Minimum0
Maximum2000
Zeros27
Zeros (%)7.5%
Negative0
Negative (%)0.0%
Memory size3.3 KiB
2024-03-14T14:47:26.659338image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median250
Q3300
95-th percentile500
Maximum2000
Range2000
Interquartile range (IQR)300

Descriptive statistics

Standard deviation277.1832
Coefficient of variation (CV)1.3701071
Kurtosis27.445414
Mean202.30769
Median Absolute Deviation (MAD)50
Skewness4.3245765
Sum13150
Variance76830.529
MonotonicityNot monotonic
2024-03-14T14:47:26.885730image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
0 27
 
7.5%
300 22
 
6.1%
250 7
 
1.9%
500 4
 
1.1%
200 4
 
1.1%
2000 1
 
0.3%
(Missing) 297
82.0%
ValueCountFrequency (%)
0 27
7.5%
200 4
 
1.1%
250 7
 
1.9%
300 22
6.1%
500 4
 
1.1%
2000 1
 
0.3%
ValueCountFrequency (%)
2000 1
 
0.3%
500 4
 
1.1%
300 22
6.1%
250 7
 
1.9%
200 4
 
1.1%
0 27
7.5%

1일주차권요금적용시간
Categorical

IMBALANCE 

Distinct4
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Memory size3.0 KiB
<NA>
333 
0
 
27
6000
 
1
6
 
1

Length

Max length4
Median length4
Mean length3.7679558
Min length1

Unique

Unique2 ?
Unique (%)0.6%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 333
92.0%
0 27
 
7.5%
6000 1
 
0.3%
6 1
 
0.3%

Length

2024-03-14T14:47:27.158485image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T14:47:27.365291image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 333
92.0%
0 27
 
7.5%
6000 1
 
0.3%
6 1
 
0.3%

1일주차권요금
Real number (ℝ)

MISSING  ZEROS 

Distinct8
Distinct (%)12.5%
Missing298
Missing (%)82.3%
Infinite0
Infinite (%)0.0%
Mean879.4375
Minimum0
Maximum6000
Zeros27
Zeros (%)7.5%
Negative0
Negative (%)0.0%
Memory size3.3 KiB
2024-03-14T14:47:27.536945image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median240
Q3300
95-th percentile6000
Maximum6000
Range6000
Interquartile range (IQR)300

Descriptive statistics

Standard deviation1925.7814
Coefficient of variation (CV)2.1897876
Kurtosis3.355258
Mean879.4375
Median Absolute Deviation (MAD)240
Skewness2.2613362
Sum56284
Variance3708633.8
MonotonicityNot monotonic
2024-03-14T14:47:27.734724image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
0 27
 
7.5%
300 15
 
4.1%
240 7
 
1.9%
6000 7
 
1.9%
360 3
 
0.8%
8 3
 
0.8%
2000 1
 
0.3%
5000 1
 
0.3%
(Missing) 298
82.3%
ValueCountFrequency (%)
0 27
7.5%
8 3
 
0.8%
240 7
 
1.9%
300 15
4.1%
360 3
 
0.8%
2000 1
 
0.3%
5000 1
 
0.3%
6000 7
 
1.9%
ValueCountFrequency (%)
6000 7
 
1.9%
5000 1
 
0.3%
2000 1
 
0.3%
360 3
 
0.8%
300 15
4.1%
240 7
 
1.9%
8 3
 
0.8%
0 27
7.5%

월정기권요금
Categorical

IMBALANCE 

Distinct4
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Memory size3.0 KiB
<NA>
349 
45000
 
7
0
 
5
40000
 
1

Length

Max length5
Median length4
Mean length3.980663
Min length1

Unique

Unique1 ?
Unique (%)0.3%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 349
96.4%
45000 7
 
1.9%
0 5
 
1.4%
40000 1
 
0.3%

Length

2024-03-14T14:47:28.004529image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T14:47:28.290112image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 349
96.4%
45000 7
 
1.9%
0 5
 
1.4%
40000 1
 
0.3%

결제방법
Categorical

IMBALANCE 

Distinct8
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Memory size3.0 KiB
<NA>
317 
신용카드
 
21
현금
 
11
현금+ 신용
 
6
무
 
4
Other values (3)
 
3

Length

Max length7
Median length4
Mean length3.9447514
Min length1

Unique

Unique3 ?
Unique (%)0.8%

Sample

1st row현금+ 신용
2nd row현금
3rd row현금
4th row신용카드
5th row현금

Common Values

ValueCountFrequency (%)
<NA> 317
87.6%
신용카드 21
 
5.8%
현금 11
 
3.0%
현금+ 신용 6
 
1.7%
무 4
 
1.1%
무료 1
 
0.3%
카드+현금 1
 
0.3%
현금+신용카드 1
 
0.3%

Length

2024-03-14T14:47:28.523684image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T14:47:28.760125image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 317
86.1%
신용카드 21
 
5.7%
현금 17
 
4.6%
신용 6
 
1.6%
무 4
 
1.1%
무료 1
 
0.3%
카드+현금 1
 
0.3%
현금+신용카드 1
 
0.3%

특기사항
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing302
Missing (%)83.4%
Memory size3.0 KiB

관리기관명
Categorical

Distinct14
Distinct (%)3.9%
Missing0
Missing (%)0.0%
Memory size3.0 KiB
전라북도 익산시청
132 
전라북도 전주시 전주시설관리공단
77 
전라북도 부안군청
25 
전라북도 고창군청
22 
전라북도 남원시청
22 
Other values (9)
84 

Length

Max length17
Median length9
Mean length10.372928
Min length4

Unique

Unique2 ?
Unique (%)0.6%

Sample

1st row전라북도 전주시 전주시설관리공단
2nd row전라북도 전주시 전주시설관리공단
3rd row전라북도 전주시 전주시설관리공단
4th row전라북도 전주시 전주시설관리공단
5th row전라북도 전주시 전주시설관리공단

Common Values

ValueCountFrequency (%)
전라북도 익산시청 132
36.5%
전라북도 전주시 전주시설관리공단 77
21.3%
전라북도 부안군청 25
 
6.9%
전라북도 고창군청 22
 
6.1%
전라북도 남원시청 22
 
6.1%
김제시청 20
 
5.5%
전라북도 장수군 19
 
5.2%
전라북도 완주군청 12
 
3.3%
전라북도 순창군청 11
 
3.0%
전라북도 진안군청 9
 
2.5%
Other values (4) 13
 
3.6%

Length

2024-03-14T14:47:29.013841image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
전라북도 341
43.7%
익산시청 132
 
16.9%
전주시 77
 
9.9%
전주시설관리공단 77
 
9.9%
부안군청 25
 
3.2%
고창군청 22
 
2.8%
남원시청 22
 
2.8%
김제시청 20
 
2.6%
장수군 19
 
2.4%
완주군청 12
 
1.5%
Other values (7) 34
 
4.4%

전화번호
Text

Distinct118
Distinct (%)32.6%
Missing0
Missing (%)0.0%
Memory size3.0 KiB
2024-03-14T14:47:29.306716image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length12.022099
Min length1

Characters and Unicode

Total characters4352
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

Unique99 ?
Unique (%)27.3%

Sample

1st row063-239-2768
2nd row063-239-2768
3rd row063-239-2768
4th row063-239-2768
5th row063-239-2768
ValueCountFrequency (%)
063-239-2614 57
15.7%
063-859-5973 43
 
11.9%
063-620-6579 22
 
6.1%
063-560-2573 22
 
6.1%
063-540-3193 20
 
5.5%
063-0350-2364 19
 
5.2%
063-239-2768 12
 
3.3%
063-290-2805 12
 
3.3%
063-580-4537 12
 
3.3%
063-650-1328 9
 
2.5%
Other values (108) 134
37.0%
2024-03-14T14:47:29.835070image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 723
16.6%
3 695
16.0%
6 633
14.5%
0 569
13.1%
5 356
8.2%
2 332
7.6%
9 282
 
6.5%
8 237
 
5.4%
4 198
 
4.5%
1 169
 
3.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 3629
83.4%
Dash Punctuation 723
 
16.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
3 695
19.2%
6 633
17.4%
0 569
15.7%
5 356
9.8%
2 332
9.1%
9 282
7.8%
8 237
 
6.5%
4 198
 
5.5%
1 169
 
4.7%
7 158
 
4.4%
Dash Punctuation
ValueCountFrequency (%)
- 723
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 4352
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 723
16.6%
3 695
16.0%
6 633
14.5%
0 569
13.1%
5 356
8.2%
2 332
7.6%
9 282
 
6.5%
8 237
 
5.4%
4 198
 
4.5%
1 169
 
3.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 4352
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 723
16.6%
3 695
16.0%
6 633
14.5%
0 569
13.1%
5 356
8.2%
2 332
7.6%
9 282
 
6.5%
8 237
 
5.4%
4 198
 
4.5%
1 169
 
3.9%

위도
Real number (ℝ)

Distinct349
Distinct (%)96.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean35.812702
Minimum35.341198
Maximum36.139454
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.3 KiB
2024-03-14T14:47:30.074103image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum35.341198
5-th percentile35.406159
Q135.715374
median35.830448
Q335.962253
95-th percentile36.104757
Maximum36.139454
Range0.798256
Interquartile range (IQR)0.24687875

Descriptive statistics

Standard deviation0.21695771
Coefficient of variation (CV)0.0060581217
Kurtosis-0.56640395
Mean35.812702
Median Absolute Deviation (MAD)0.129609
Skewness-0.58880904
Sum12964.198
Variance0.047070647
MonotonicityNot monotonic
2024-03-14T14:47:30.386307image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
35.79197 9
 
2.5%
35.407514 2
 
0.6%
35.818255 2
 
0.6%
35.725547 2
 
0.6%
35.800431 2
 
0.6%
35.643087 2
 
0.6%
36.042828 1
 
0.3%
35.371842 1
 
0.3%
35.433171 1
 
0.3%
35.498305 1
 
0.3%
Other values (339) 339
93.6%
ValueCountFrequency (%)
35.341198 1
0.3%
35.371842 1
0.3%
35.372482 1
0.3%
35.372558 1
0.3%
35.372663 1
0.3%
35.37273 1
0.3%
35.374225 1
0.3%
35.374255 1
0.3%
35.376902 1
0.3%
35.377117 1
0.3%
ValueCountFrequency (%)
36.139454 1
0.3%
36.136114 1
0.3%
36.13465 1
0.3%
36.134143 1
0.3%
36.132636 1
0.3%
36.128155 1
0.3%
36.12805 1
0.3%
36.125148 1
0.3%
36.124261 1
0.3%
36.122986 1
0.3%

경도
Real number (ℝ)

Distinct349
Distinct (%)96.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean127.03683
Minimum126.47025
Maximum127.62443
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.3 KiB
2024-03-14T14:47:30.680984image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum126.47025
5-th percentile126.68627
Q1126.90292
median127.0319
Q3127.13872
95-th percentile127.51712
Maximum127.62443
Range1.154181
Interquartile range (IQR)0.23579425

Descriptive statistics

Standard deviation0.23668878
Coefficient of variation (CV)0.0018631509
Kurtosis0.32800816
Mean127.03683
Median Absolute Deviation (MAD)0.1133295
Skewness0.24658103
Sum45987.332
Variance0.056021579
MonotonicityNot monotonic
2024-03-14T14:47:30.954696image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
127.424684 9
 
2.5%
127.384512 2
 
0.6%
127.153657 2
 
0.6%
126.73304 2
 
0.6%
126.886656 2
 
0.6%
126.535024 2
 
0.6%
126.898273 1
 
0.3%
127.14527 1
 
0.3%
126.705644 1
 
0.3%
127.12159 1
 
0.3%
Other values (339) 339
93.6%
ValueCountFrequency (%)
126.470249 1
0.3%
126.471189 1
0.3%
126.484456 1
0.3%
126.491887 1
0.3%
126.508205 1
0.3%
126.511095 1
0.3%
126.512622 1
0.3%
126.513179 1
0.3%
126.535024 2
0.6%
126.53563 1
0.3%
ValueCountFrequency (%)
127.62443 1
0.3%
127.621431 1
0.3%
127.616232 1
0.3%
127.613177 1
0.3%
127.583787 1
0.3%
127.583402 1
0.3%
127.582133 1
0.3%
127.581699 1
0.3%
127.581106 1
0.3%
127.581035 1
0.3%

데이터기준일자
Date

CONSTANT 

Distinct1
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size3.0 KiB
Minimum2017-11-15 00:00:00
Maximum2017-11-15 00:00:00
2024-03-14T14:47:31.168079image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T14:47:31.351829image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Sample

주차장관리번호주차장명주차장구분주차장유형소재지도로명주소소재지지번주소주차구획수급지구분부제시행구분운영요일평일운영시작시각평일운영종료시각토요일운영시작시각토요일운영종료시각공휴일운영시작시각공휴일운영종료시각요금정보주차기본시간주차기본요금추가단위시간추가단위요금1일주차권요금적용시간1일주차권요금월정기권요금결제방법특기사항관리기관명전화번호위도경도데이터기준일자
0100-2-00001오거리공영노외전라북도 전주시 완산구 팔달로 217-21전라북도 전주시 완산구 고사동 11-81981미시행평일+토요일+공휴일00:00:001900-01-01 00:00:0000:00:001900-01-01 00:00:0000:00:001900-01-01 00:00:00유료3060015300<NA>300<NA>현금+ 신용경차, 장애인, 저공해, 다자녀, 전주시 장기기증 등록증, 전주시 의사상자 증서, 전주시 병역명문가증 50%할인, 국가보훈대상자 면제전라북도 전주시 전주시설관리공단063-239-276835.821232127.1451932017-11-15
1100-2-00003건산천1공영노외전라북도 전주시 덕진구 숲정이5길 7전라북도 전주시 덕진구 진북동 434-34782미시행평일+토요일+공휴일00:00:001900-01-01 00:00:0000:00:001900-01-01 00:00:0000:00:001900-01-01 00:00:00혼합3050015250<NA>240<NA>현금경차, 장애인, 저공해, 다자녀, 전주시 장기기증 등록증, 전주시 의사상자 증서, 전주시 병역명문가증 50%할인, 국가보훈대상자 면제전라북도 전주시 전주시설관리공단063-239-276835.831874127.1347862017-11-15
2100-2-00004건산천2공영노외전라북도 전주시 덕진구 태진로 125-22전라북도 전주시 덕진구 금암동 456-12682미시행평일+토요일+공휴일00:00:001900-01-01 00:00:0000:00:001900-01-01 00:00:0000:00:001900-01-01 00:00:00혼합3050015250<NA>240<NA>현금경차, 장애인, 저공해, 다자녀, 전주시 장기기증 등록증, 전주시 의사상자 증서, 전주시 병역명문가증 50%할인, 국가보훈대상자 면제전라북도 전주시 전주시설관리공단063-239-276835.832964127.1346412017-11-15
3100-2-00002덕진광장공영노외전라북도 전주시 덕진구 덕진광장로 3전라북도 전주시 덕진구 덕진동1가 1278-1331미시행평일+토요일+공휴일00:00:001900-01-01 00:00:0000:00:001900-01-01 00:00:0000:00:001900-01-01 00:00:00유료3060015300<NA>300<NA>신용카드경차, 장애인, 저공해, 다자녀, 전주시 장기기증 등록증, 전주시 의사상자 증서, 전주시 병역명문가증 50%할인, 국가보훈대상자 면제전라북도 전주시 전주시설관리공단063-239-276835.844154127.124182017-11-15
4100-2-00005삼천2동공영노외전라북도 전주시 완산구 상거마4길 24전라북도 전주시 완산구 삼천동1가 632-51942미시행평일+토요일+공휴일00:00:001900-01-01 00:00:0000:00:001900-01-01 00:00:0000:00:001900-01-01 00:00:00유료3050015250<NA>240<NA>현금경차, 장애인, 저공해, 다자녀, 전주시 장기기증 등록증, 전주시 의사상자 증서, 전주시 병역명문가증 50%할인, 국가보훈대상자 면제전라북도 전주시 전주시설관리공단063-239-276835.796655127.1216152017-11-15
5100-2-00006중화산2동공영노외전라북도 전주시 완산구 신촌3길 28-4전라북도 전주시 완산구 중화산동2가 486-2892미시행평일+토요일+공휴일00:00:001900-01-01 00:00:0000:00:001900-01-01 00:00:0000:00:001900-01-01 00:00:00유료3050015250<NA>240<NA>현금경차, 장애인, 저공해, 다자녀, 전주시 장기기증 등록증, 전주시 의사상자 증서, 전주시 병역명문가증 50%할인, 국가보훈대상자 면제전라북도 전주시 전주시설관리공단063-239-276835.817437127.1152122017-11-15
6100-2-00007서신동공영노외전라북도 전주시 완산구 당산로 56전라북도 전주시 완산구 서신동 7951312미시행평일+토요일+공휴일00:00:001900-01-01 00:00:0000:00:001900-01-01 00:00:0000:00:001900-01-01 00:00:00유료3050015250<NA>240<NA>현금경차, 장애인, 저공해, 다자녀, 전주시 장기기증 등록증, 전주시 의사상자 증서, 전주시 병역명문가증 50%할인, 국가보훈대상자 면제전라북도 전주시 전주시설관리공단063-239-276835.831565127.1145572017-11-15
7100-2-00035서부신시가지 마전공영노외전라북도 전주시 완산구 문학대5길 31-3전라북도 전주시 완산구 효자동3가 1610-8442미시행평일+토요일+공휴일00:00:001900-01-01 00:00:0000:00:001900-01-01 00:00:0000:00:001900-01-01 00:00:00유료3060015300<NA>300<NA>신용카드경차, 장애인, 저공해, 다자녀, 전주시 장기기증 등록증, 전주시 의사상자 증서, 전주시 병역명문가증 51%할인, 국가보훈대상자 면제전라북도 전주시 전주시설관리공단063-239-261435.827719127.1051262017-11-15
8100-2-00038서부신시가지 산마을오리정공영노외전라북도 전주시 완산구 마전1길 12-3전라북도 전주시 완산구 효자동3가 1647-10342미시행평일+토요일+공휴일00:00:001900-01-01 00:00:0000:00:001900-01-01 00:00:0000:00:001900-01-01 00:00:00유료3060015300<NA>300<NA>신용카드경차, 장애인, 저공해, 다자녀, 전주시 장기기증 등록증, 전주시 의사상자 증서, 전주시 병역명문가증 52%할인, 국가보훈대상자 면제전라북도 전주시 전주시설관리공단063-239-261435.821745127.1029462017-11-15
9100-2-00039서부신시가지 보훈청공영노외전라북도 전주시 완산구 바우배기1길 13-16전라북도 전주시 완산구 효자동2가 1243-1431미시행평일+토요일+공휴일00:00:001900-01-01 00:00:0000:00:001900-01-01 00:00:0000:00:001900-01-01 00:00:00유료3060015300<NA>300<NA>신용카드경차, 장애인, 저공해, 다자녀, 전주시 장기기증 등록증, 전주시 의사상자 증서, 전주시 병역명문가증 53%할인, 국가보훈대상자 면제전라북도 전주시 전주시설관리공단063-239-261435.815245127.1039712017-11-15
주차장관리번호주차장명주차장구분주차장유형소재지도로명주소소재지지번주소주차구획수급지구분부제시행구분운영요일평일운영시작시각평일운영종료시각토요일운영시작시각토요일운영종료시각공휴일운영시작시각공휴일운영종료시각요금정보주차기본시간주차기본요금추가단위시간추가단위요금1일주차권요금적용시간1일주차권요금월정기권요금결제방법특기사항관리기관명전화번호위도경도데이터기준일자
352305-2-000007농협중앙회공영노외전라북도 전주시 완산구 홍산북로 53전라북도 전주시 완산구 효자동3가 1529-13511미시행평일+토요일+공휴일00:00:0000:00:0000:00:0000:00:0000:00:0000:00:00유료3060015300<NA>600045000신용카드경차, 장애인, 저공해, 다자녀, 전주시 장기기증 등록증, 전주시 의사상자 증서, 전주시 병역명문가증 50퍼센트 할인, 국가보훈대상자 면제(1일3시간이내,초과분 50퍼센트 경감)전라북도 전주시 전주시설관리공단063-239-276735.817596127.107272017-11-15
353305-2-000005다은병원공영노외전라북도 전주시 완산구 홍산2길 5-12전라북도 전주시 완산구 효자동3가 1543-4501미시행평일+토요일+공휴일00:00:0000:00:0000:00:0000:00:0000:00:0000:00:00유료3060015300<NA>600045000신용카드경차, 장애인, 저공해, 다자녀, 전주시 장기기증 등록증, 전주시 의사상자 증서, 전주시 병역명문가증 50퍼센트 할인, 국가보훈대상자 면제(1일3시간이내,초과분 50퍼센트 경감)전라북도 전주시 전주시설관리공단063-239-276735.815135127.1107032017-11-15
354305-2-000006KB은행공영노외전라북도 전주시 완산구 홍산1길 4-13전라북도 전주시 완산구 효자동2가 1156-1671미시행평일+토요일+공휴일00:00:0000:00:0000:00:0000:00:0000:00:0000:00:00유료3060015300<NA>600045000신용카드경차, 장애인, 저공해, 다자녀, 전주시 장기기증 등록증, 전주시 의사상자 증서, 전주시 병역명문가증 50퍼센트 할인, 국가보훈대상자 면제(1일3시간이내,초과분 50퍼센트 경감)전라북도 전주시 전주시설관리공단063-239-276735.815139127.1072652017-11-15
355305-2-000040홍산라이브광장공영노외전라북도 전주시 완산구 홍산남로 45-20전라북도 전주시 완산구 효자동3가 1533-131221미시행평일+토요일+공휴일00:00:0000:00:0000:00:0000:00:0000:00:0000:00:00유료3060015300<NA>600045000신용카드경차, 장애인, 저공해, 다자녀, 전주시 장기기증 등록증, 전주시 의사상자 증서, 전주시 병역명문가증 50퍼센트 할인, 국가보훈대상자 면제(1일3시간이내,초과분 50퍼센트 경감)전라북도 전주시 전주시설관리공단063-239-261135.816553127.1076812017-11-15
356305-2-000041전주비보이광장공영노외전라북도 전주시 완산구 홍산남로 83-17전라북도 전주시 완산구 효자동3가 1538-91241미시행평일+토요일+공휴일00:00:0000:00:0000:00:0000:00:0000:00:0000:00:00유료3060015300<NA>600045000신용카드경차, 장애인, 저공해, 다자녀, 전주시 장기기증 등록증, 전주시 의사상자 증서, 전주시 병역명문가증 50퍼센트 할인, 국가보훈대상자 면제(1일3시간이내,초과분 50퍼센트 경감)전라북도 전주시 전주시설관리공단063-239-261135.816549127.1103472017-11-15
357305-2-000009노송천공영노외전라북도 전주시 완산구 노송여울길 114전라북도 전주시 완산구 서노송동 655-1681미시행평일+토요일+공휴일00:00:0000:00:0000:00:0000:00:0000:00:0000:00:00유료3060015300<NA>600045000신용카드경차, 장애인, 저공해, 다자녀, 전주시 장기기증 등록증, 전주시 의사상자 증서, 전주시 병역명문가증 50퍼센트 할인, 국가보훈대상자 면제(1일3시간이내,초과분 50퍼센트 경감)전라북도 전주시 전주시설관리공단063-239-276735.827189127.1426062017-11-15
358307-2-000025미룡동1공영노외전라북도 군산시 미제1길 5-10전라북도 군산시 미룡동 453-1333기타미시행평일+토요일+공휴일00:00:0000:00:0000:00:0000:00:0000:00:0000:00:00무료240<NA><NA><NA><NA><NA><NA>NaN전라북도 군산시청063-454-381235.948572126.6860112017-11-15
359307-2-000029대야면3공영노외전라북도 군산시 대야면 대야시장로 34전라북도 군산시 대야면 산월리 476-5 대야횟집50기타미시행평일+토요일+공휴일00:00:0000:00:0000:00:0000:00:0000:00:0000:00:00무료240<NA><NA><NA><NA><NA><NA>NaN전라북도 군산시청063-454-381235.945248126.8191482017-11-15
360307-2-000057수송동공영노외전라북도 군산시 축동2길 39-4 (수송동)전라북도 군산시 수송동 804-720기타미시행평일+토요일+공휴일00:00:0000:00:0000:00:0000:00:0000:00:0000:00:00무료240<NA><NA><NA><NA><NA><NA>NaN전라북도 군산시청063-454-381235.968834126.7144612017-11-15
361307-2-000064신풍동4공영노외전라북도 군산시 신풍길 47 (신풍동)전라북도 군산시 신풍동 938-9 신풍경로당63기타미시행평일+토요일+공휴일00:00:0000:00:0000:00:0000:00:0000:00:0000:00:00무료240<NA><NA><NA><NA><NA><NA>NaN전라북도 군산시청063-454-381235.979733126.7008342017-11-15