Overview

Dataset statistics

Number of variables39
Number of observations9013
Missing cells15229
Missing cells (%)4.3%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory2.9 MiB
Average record size in memory335.0 B

Variable types

Numeric18
Text3
Categorical13
Boolean4
DateTime1

Dataset

Description주차장코드,주차장명,주소,주차장 종류,주차장 종류명,운영구분,운영구분명,전화번호,주차현황 정보 제공여부,주차현황 정보 제공여부명,총 주자면,유무료구분,유무료구분명,야간무료개방여부,야간무료개방여부명,평일 운영 시작시각(HHMM),평일 운영 종료시각(HHMM),주말 운영 시작시각(HHMM),주말 운영 종료시각(HHMM),공휴일 운영 시작시각(HHMM),공휴일 운영 종료시각(HHMM),최종데이터 동기화 시간,토요일 유,무료 구분,토요일 유,무료 구분명,공휴일 유,무료 구분,공휴일 유,무료 구분명,월 정기권 금액,노상 주차장 관리그룹번호,기본 주차 요금,기본 주차 시간(분 단위),추가 단위 요금,추가 단위 시간(분 단위),버스 기본 주차 요금,버스 기본 주차 시간(분 단위),버스 추가 단위 시간(분 단위),버스 추가 단위 요금,일 최대 요금,위도,경도
Author서울특별시
URLhttps://data.seoul.go.kr/dataList/OA-13122/S/1/datasetView.do

Alerts

야간무료개방여부 has constant value ""Constant
야간무료개방여부명 has constant value ""Constant
주차장 종류 is highly imbalanced (53.0%)Imbalance
주차장 종류명 is highly imbalanced (53.0%)Imbalance
운영구분명 is highly imbalanced (56.0%)Imbalance
유무료구분 is highly imbalanced (71.1%)Imbalance
유무료구분명 is highly imbalanced (71.1%)Imbalance
버스 기본 주차 요금 is highly imbalanced (91.5%)Imbalance
버스 기본 주차 시간(분 단위) is highly imbalanced (89.0%)Imbalance
버스 추가 단위 시간(분 단위) is highly imbalanced (86.2%)Imbalance
버스 추가 단위 요금 is highly imbalanced (89.0%)Imbalance
전화번호 has 4406 (48.9%) missing valuesMissing
총 주자면 has 179 (2.0%) missing valuesMissing
월 정기권 금액 has 1760 (19.5%) missing valuesMissing
노상 주차장 관리그룹번호 has 929 (10.3%) missing valuesMissing
기본 주차 요금 has 219 (2.4%) missing valuesMissing
기본 주차 시간(분 단위) has 220 (2.4%) missing valuesMissing
추가 단위 요금 has 1049 (11.6%) missing valuesMissing
추가 단위 시간(분 단위) has 1050 (11.6%) missing valuesMissing
일 최대 요금 has 2003 (22.2%) missing valuesMissing
위도 has 1707 (18.9%) missing valuesMissing
경도 has 1707 (18.9%) missing valuesMissing
추가 단위 시간(분 단위) is highly skewed (γ1 = 25.44215335)Skewed
평일 운영 시작시각(HHMM) has 1190 (13.2%) zerosZeros
평일 운영 종료시각(HHMM) has 725 (8.0%) zerosZeros
주말 운영 시작시각(HHMM) has 3222 (35.7%) zerosZeros
주말 운영 종료시각(HHMM) has 2757 (30.6%) zerosZeros
공휴일 운영 시작시각(HHMM) has 7666 (85.1%) zerosZeros
공휴일 운영 종료시각(HHMM) has 7161 (79.5%) zerosZeros
월 정기권 금액 has 2772 (30.8%) zerosZeros
기본 주차 요금 has 459 (5.1%) zerosZeros
기본 주차 시간(분 단위) has 456 (5.1%) zerosZeros
추가 단위 요금 has 1316 (14.6%) zerosZeros
추가 단위 시간(분 단위) has 1315 (14.6%) zerosZeros
일 최대 요금 has 3212 (35.6%) zerosZeros

Reproduction

Analysis started2024-05-17 22:38:36.412033
Analysis finished2024-05-17 22:38:39.516449
Duration3.1 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

주차장코드
Real number (ℝ)

Distinct2236
Distinct (%)24.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1725294.4
Minimum74588
Maximum3246701
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size79.3 KiB
2024-05-18T07:38:39.880637image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum74588
5-th percentile1071076.8
Q11496373
median1540785
Q31597176
95-th percentile3170714
Maximum3246701
Range3172113
Interquartile range (IQR)100803

Descriptive statistics

Standard deviation678251.65
Coefficient of variation (CV)0.39312228
Kurtosis1.1064004
Mean1725294.4
Median Absolute Deviation (MAD)45189
Skewness0.74875957
Sum1.5550078 × 1010
Variance4.600253 × 1011
MonotonicityNot monotonic
2024-05-18T07:38:40.555216image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1503518 299
 
3.3%
1495387 244
 
2.7%
1503530 209
 
2.3%
1538943 163
 
1.8%
1597176 137
 
1.5%
1503537 108
 
1.2%
1495596 95
 
1.1%
1569863 88
 
1.0%
1367804 88
 
1.0%
1561603 84
 
0.9%
Other values (2226) 7498
83.2%
ValueCountFrequency (%)
74588 63
0.7%
74849 1
 
< 0.1%
75160 1
 
< 0.1%
75432 63
0.7%
79957 1
 
< 0.1%
119824 14
 
0.2%
144561 27
0.3%
147462 1
 
< 0.1%
171721 1
 
< 0.1%
171724 1
 
< 0.1%
ValueCountFrequency (%)
3246701 1
< 0.1%
3246676 1
< 0.1%
3246602 1
< 0.1%
3246398 1
< 0.1%
3246396 1
< 0.1%
3246381 1
< 0.1%
3246373 1
< 0.1%
3246348 1
< 0.1%
3246331 1
< 0.1%
3246315 1
< 0.1%

주차장명
Text

Distinct1660
Distinct (%)18.4%
Missing0
Missing (%)0.0%
Memory size70.5 KiB
2024-05-18T07:38:41.527097image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length30
Median length27
Mean length13.321757
Min length5

Characters and Unicode

Total characters120069
Distinct characters446
Distinct categories11 ?
Distinct scripts4 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1205 ?
Unique (%)13.4%

Sample

1st row초안산근린공원주차장(구)
2nd row마들스타디움(근린공원)(구)
3rd row마장동(건물) 공영주차장(구)
4th row영등포여고 공영(구)
5th row당산근린공원 공영(구)
ValueCountFrequency (%)
공영주차장(시 1642
 
9.4%
공유 1220
 
7.0%
노상주차장(구 524
 
3.0%
주차장(구 420
 
2.4%
배다리동길(구 407
 
2.3%
공영주차장(구 399
 
2.3%
화곡1동 335
 
1.9%
배다리서길(구 306
 
1.8%
앞(구 295
 
1.7%
노상공영주차장(구 258
 
1.5%
Other values (1814) 11633
66.7%
2024-05-18T07:38:43.047885image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
) 11089
 
9.2%
( 9869
 
8.2%
구 8524
 
7.1%
8451
 
7.0%
공 4810
 
4.0%
주 4662
 
3.9%
장 4464
 
3.7%
차 4389
 
3.7%
영 3492
 
2.9%
동 2689
 
2.2%
Other values (436) 57630
48.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 77182
64.3%
Close Punctuation 11091
 
9.2%
Decimal Number 10340
 
8.6%
Open Punctuation 9871
 
8.2%
Space Separator 8451
 
7.0%
Uppercase Letter 1515
 
1.3%
Dash Punctuation 1387
 
1.2%
Other Punctuation 77
 
0.1%
Math Symbol 67
 
0.1%
Connector Punctuation 57
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 8524
 
11.0%
공 4810
 
6.2%
주 4662
 
6.0%
장 4464
 
5.8%
차 4389
 
5.7%
영 3492
 
4.5%
동 2689
 
3.5%
시 2422
 
3.1%
길 2255
 
2.9%
상 1691
 
2.2%
Other values (396) 37784
49.0%
Uppercase Letter
ValueCountFrequency (%)
K 354
23.4%
B 276
18.2%
S 228
15.0%
T 210
13.9%
C 68
 
4.5%
M 66
 
4.4%
D 57
 
3.8%
I 47
 
3.1%
O 44
 
2.9%
G 41
 
2.7%
Other values (5) 124
 
8.2%
Decimal Number
ValueCountFrequency (%)
1 2005
19.4%
0 1685
16.3%
2 1466
14.2%
5 1002
9.7%
4 960
9.3%
3 947
9.2%
6 765
 
7.4%
8 573
 
5.5%
7 534
 
5.2%
9 403
 
3.9%
Lowercase Letter
ValueCountFrequency (%)
s 13
41.9%
k 12
38.7%
o 3
 
9.7%
t 2
 
6.5%
e 1
 
3.2%
Close Punctuation
ValueCountFrequency (%)
) 11089
> 99.9%
] 2
 
< 0.1%
Open Punctuation
ValueCountFrequency (%)
( 9869
> 99.9%
[ 2
 
< 0.1%
Other Punctuation
ValueCountFrequency (%)
/ 71
92.2%
, 6
 
7.8%
Space Separator
ValueCountFrequency (%)
8451
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1387
100.0%
Math Symbol
ValueCountFrequency (%)
~ 67
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 57
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 77171
64.3%
Common 41341
34.4%
Latin 1546
 
1.3%
Han 11
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 8524
 
11.0%
공 4810
 
6.2%
주 4662
 
6.0%
장 4464
 
5.8%
차 4389
 
5.7%
영 3492
 
4.5%
동 2689
 
3.5%
시 2422
 
3.1%
길 2255
 
2.9%
상 1691
 
2.2%
Other values (395) 37773
48.9%
Common
ValueCountFrequency (%)
) 11089
26.8%
( 9869
23.9%
8451
20.4%
1 2005
 
4.8%
0 1685
 
4.1%
2 1466
 
3.5%
- 1387
 
3.4%
5 1002
 
2.4%
4 960
 
2.3%
3 947
 
2.3%
Other values (10) 2480
 
6.0%
Latin
ValueCountFrequency (%)
K 354
22.9%
B 276
17.9%
S 228
14.7%
T 210
13.6%
C 68
 
4.4%
M 66
 
4.3%
D 57
 
3.7%
I 47
 
3.0%
O 44
 
2.8%
G 41
 
2.7%
Other values (10) 155
10.0%
Han
ValueCountFrequency (%)
舊 11
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 77171
64.3%
ASCII 42887
35.7%
CJK 11
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
) 11089
25.9%
( 9869
23.0%
8451
19.7%
1 2005
 
4.7%
0 1685
 
3.9%
2 1466
 
3.4%
- 1387
 
3.2%
5 1002
 
2.3%
4 960
 
2.2%
3 947
 
2.2%
Other values (30) 4026
 
9.4%
Hangul
ValueCountFrequency (%)
구 8524
 
11.0%
공 4810
 
6.2%
주 4662
 
6.0%
장 4464
 
5.8%
차 4389
 
5.7%
영 3492
 
4.5%
동 2689
 
3.5%
시 2422
 
3.1%
길 2255
 
2.9%
상 1691
 
2.2%
Other values (395) 37773
48.9%
CJK
ValueCountFrequency (%)
舊 11
100.0%

주소
Text

Distinct1620
Distinct (%)18.0%
Missing0
Missing (%)0.0%
Memory size70.5 KiB
2024-05-18T07:38:44.065996image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length42
Median length41
Mean length14.03495
Min length10

Characters and Unicode

Total characters126497
Distinct characters227
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1111 ?
Unique (%)12.3%

Sample

1st row도봉구 창동 24-0
2nd row노원구 상계동 770-2
3rd row성동구 마장동 463-2
4th row영등포구 신길동 184-3
5th row영등포구 당산동3가 385-0
ValueCountFrequency (%)
강서구 1066
 
3.8%
강남구 1043
 
3.7%
영등포구 934
 
3.3%
금천구 905
 
3.2%
화곡동 899
 
3.2%
성동구 825
 
3.0%
중구 798
 
2.9%
여의도동 636
 
2.3%
독산동 487
 
1.7%
마포구 479
 
1.7%
Other values (1847) 19830
71.1%
2024-05-18T07:38:45.586369image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
19509
 
15.4%
동 9985
 
7.9%
구 9427
 
7.5%
- 9021
 
7.1%
1 8304
 
6.6%
2 4724
 
3.7%
0 4430
 
3.5%
4 4310
 
3.4%
3 4195
 
3.3%
8 2789
 
2.2%
Other values (217) 49803
39.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 58304
46.1%
Decimal Number 39294
31.1%
Space Separator 19509
 
15.4%
Dash Punctuation 9021
 
7.1%
Open Punctuation 123
 
0.1%
Close Punctuation 121
 
0.1%
Math Symbol 91
 
0.1%
Lowercase Letter 33
 
< 0.1%
Other Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 9985
 
17.1%
구 9427
 
16.2%
강 2514
 
4.3%
포 1589
 
2.7%
천 1501
 
2.6%
가 1457
 
2.5%
서 1453
 
2.5%
남 1340
 
2.3%
성 1328
 
2.3%
로 1132
 
1.9%
Other values (200) 26578
45.6%
Decimal Number
ValueCountFrequency (%)
1 8304
21.1%
2 4724
12.0%
0 4430
11.3%
4 4310
11.0%
3 4195
10.7%
8 2789
 
7.1%
6 2719
 
6.9%
9 2643
 
6.7%
5 2629
 
6.7%
7 2551
 
6.5%
Space Separator
ValueCountFrequency (%)
19509
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 9021
100.0%
Open Punctuation
ValueCountFrequency (%)
( 123
100.0%
Close Punctuation
ValueCountFrequency (%)
) 121
100.0%
Math Symbol
ValueCountFrequency (%)
~ 91
100.0%
Lowercase Letter
ValueCountFrequency (%)
m 33
100.0%
Other Punctuation
ValueCountFrequency (%)
* 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 68160
53.9%
Hangul 58304
46.1%
Latin 33
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 9985
 
17.1%
구 9427
 
16.2%
강 2514
 
4.3%
포 1589
 
2.7%
천 1501
 
2.6%
가 1457
 
2.5%
서 1453
 
2.5%
남 1340
 
2.3%
성 1328
 
2.3%
로 1132
 
1.9%
Other values (200) 26578
45.6%
Common
ValueCountFrequency (%)
19509
28.6%
- 9021
13.2%
1 8304
12.2%
2 4724
 
6.9%
0 4430
 
6.5%
4 4310
 
6.3%
3 4195
 
6.2%
8 2789
 
4.1%
6 2719
 
4.0%
9 2643
 
3.9%
Other values (6) 5516
 
8.1%
Latin
ValueCountFrequency (%)
m 33
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 68193
53.9%
Hangul 58304
46.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
19509
28.6%
- 9021
13.2%
1 8304
12.2%
2 4724
 
6.9%
0 4430
 
6.5%
4 4310
 
6.3%
3 4195
 
6.2%
8 2789
 
4.1%
6 2719
 
4.0%
9 2643
 
3.9%
Other values (7) 5549
 
8.1%
Hangul
ValueCountFrequency (%)
동 9985
 
17.1%
구 9427
 
16.2%
강 2514
 
4.3%
포 1589
 
2.7%
천 1501
 
2.6%
가 1457
 
2.5%
서 1453
 
2.5%
남 1340
 
2.3%
성 1328
 
2.3%
로 1132
 
1.9%
Other values (200) 26578
45.6%

주차장 종류
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size70.5 KiB
NS
8108 
NW
905 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
NS 8108
90.0%
NW 905
 
10.0%

Length

2024-05-18T07:38:46.051564image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-18T07:38:46.426027image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
ns 8108
90.0%
nw 905
 
10.0%

주차장 종류명
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size70.5 KiB
노상 주차장
8108 
노외 주차장
905 

Length

Max length6
Median length6
Mean length6
Min length6

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
노상 주차장 8108
90.0%
노외 주차장 905
 
10.0%

Length

2024-05-18T07:38:46.741943image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-18T07:38:47.034138image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
주차장 9013
50.0%
노상 8108
45.0%
노외 905
 
5.0%

운영구분
Real number (ℝ)

Distinct6
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.5656274
Minimum1
Maximum6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size79.3 KiB
2024-05-18T07:38:47.346457image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q32
95-th percentile3
Maximum6
Range5
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.0714816
Coefficient of variation (CV)0.68437838
Kurtosis3.9081236
Mean1.5656274
Median Absolute Deviation (MAD)0
Skewness1.9806197
Sum14111
Variance1.1480727
MonotonicityNot monotonic
2024-05-18T07:38:47.742477image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
1 6726
74.6%
3 1675
 
18.6%
4 223
 
2.5%
2 216
 
2.4%
6 171
 
1.9%
5 2
 
< 0.1%
ValueCountFrequency (%)
1 6726
74.6%
2 216
 
2.4%
3 1675
 
18.6%
4 223
 
2.5%
5 2
 
< 0.1%
6 171
 
1.9%
ValueCountFrequency (%)
6 171
 
1.9%
5 2
 
< 0.1%
4 223
 
2.5%
3 1675
 
18.6%
2 216
 
2.4%
1 6726
74.6%

운영구분명
Categorical

IMBALANCE 

Distinct6
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size70.5 KiB
시간제 주차장
6726 
시간제 + 거주자 주차장
1675 
버스전용 주차장
 
223
거주자 우선 주차장
 
216
이륜차 전용 주차장
 
171

Length

Max length14
Median length7
Mean length8.2701653
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row시간제 주차장
2nd row시간제 주차장
3rd row시간제 주차장
4th row시간제 주차장
5th row시간제 주차장

Common Values

ValueCountFrequency (%)
시간제 주차장 6726
74.6%
시간제 + 거주자 주차장 1675
 
18.6%
버스전용 주차장 223
 
2.5%
거주자 우선 주차장 216
 
2.4%
이륜차 전용 주차장 171
 
1.9%
시간제 + 버스전용 주차장 2
 
< 0.1%

Length

2024-05-18T07:38:48.172730image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-18T07:38:48.570399image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
주차장 9013
41.4%
시간제 8403
38.6%
거주자 1891
 
8.7%
1677
 
7.7%
버스전용 225
 
1.0%
우선 216
 
1.0%
이륜차 171
 
0.8%
전용 171
 
0.8%

전화번호
Text

MISSING 

Distinct289
Distinct (%)6.3%
Missing4406
Missing (%)48.9%
Memory size70.5 KiB
2024-05-18T07:38:49.074744image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length12
Mean length11.70458
Min length1

Characters and Unicode

Total characters53923
Distinct characters16
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

Unique168 ?
Unique (%)3.6%

Sample

1st row02-2289-6735
2nd row02-2204-7970
3rd row02-2677-1401
4th row02-2677-1401
5th row02-2677-1401
ValueCountFrequency (%)
02-2607-9113 838
18.1%
02-809-0061 657
14.2%
02-2204-7970 453
 
9.8%
02-2650-1436 450
 
9.7%
02-2274-2009 310
 
6.7%
02-2176-0907 194
 
4.2%
02-2644-1386 165
 
3.6%
02)3396-6262 122
 
2.6%
1544-3113 96
 
2.1%
02-2698-1386 84
 
1.8%
Other values (280) 1264
27.3%
2024-05-18T07:38:49.854260image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 10611
19.7%
2 9738
18.1%
- 8845
16.4%
6 4521
8.4%
1 4209
 
7.8%
9 3490
 
6.5%
7 3130
 
5.8%
3 3062
 
5.7%
4 2800
 
5.2%
8 1702
 
3.2%
Other values (6) 1815
 
3.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 44785
83.1%
Dash Punctuation 8845
 
16.4%
Close Punctuation 213
 
0.4%
Math Symbol 50
 
0.1%
Space Separator 28
 
0.1%
Other Letter 2
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 10611
23.7%
2 9738
21.7%
6 4521
10.1%
1 4209
 
9.4%
9 3490
 
7.8%
7 3130
 
7.0%
3 3062
 
6.8%
4 2800
 
6.3%
8 1702
 
3.8%
5 1522
 
3.4%
Other Letter
ValueCountFrequency (%)
무 1
50.0%
인 1
50.0%
Dash Punctuation
ValueCountFrequency (%)
- 8845
100.0%
Close Punctuation
ValueCountFrequency (%)
) 213
100.0%
Math Symbol
ValueCountFrequency (%)
~ 50
100.0%
Space Separator
ValueCountFrequency (%)
28
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 53921
> 99.9%
Hangul 2
 
< 0.1%

Most frequent character per script

Common
ValueCountFrequency (%)
0 10611
19.7%
2 9738
18.1%
- 8845
16.4%
6 4521
8.4%
1 4209
 
7.8%
9 3490
 
6.5%
7 3130
 
5.8%
3 3062
 
5.7%
4 2800
 
5.2%
8 1702
 
3.2%
Other values (4) 1813
 
3.4%
Hangul
ValueCountFrequency (%)
무 1
50.0%
인 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 53921
> 99.9%
Hangul 2
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 10611
19.7%
2 9738
18.1%
- 8845
16.4%
6 4521
8.4%
1 4209
 
7.8%
9 3490
 
6.5%
7 3130
 
5.8%
3 3062
 
5.7%
4 2800
 
5.2%
8 1702
 
3.2%
Other values (4) 1813
 
3.4%
Hangul
ValueCountFrequency (%)
무 1
50.0%
인 1
50.0%

주차현황 정보 제공여부
Categorical

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size70.5 KiB
0
5631 
1
3252 
2
 
67
3
 
63

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row2
4th row0
5th row1

Common Values

ValueCountFrequency (%)
0 5631
62.5%
1 3252
36.1%
2 67
 
0.7%
3 63
 
0.7%

Length

2024-05-18T07:38:50.269931image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-18T07:38:50.579684image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 5631
62.5%
1 3252
36.1%
2 67
 
0.7%
3 63
 
0.7%

주차현황 정보 제공여부명
Categorical

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size70.5 KiB
미연계중
5631 
현재~20분이내 연계데이터 존재(현재 주차대수 표현)
3252 
20~120분이내 연계데이터 존재(정보수집중)
 
67
120~2일이내 연계데이터 존재(통신점검중)
 
63

Length

Max length29
Median length4
Mean length13.31621
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row미연계중
2nd row미연계중
3rd row20~120분이내 연계데이터 존재(정보수집중)
4th row미연계중
5th row현재~20분이내 연계데이터 존재(현재 주차대수 표현)

Common Values

ValueCountFrequency (%)
미연계중 5631
62.5%
현재~20분이내 연계데이터 존재(현재 주차대수 표현) 3252
36.1%
20~120분이내 연계데이터 존재(정보수집중) 67
 
0.7%
120~2일이내 연계데이터 존재(통신점검중) 63
 
0.7%

Length

2024-05-18T07:38:50.880260image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-18T07:38:51.189908image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
미연계중 5631
25.3%
연계데이터 3382
15.2%
현재~20분이내 3252
14.6%
존재(현재 3252
14.6%
주차대수 3252
14.6%
표현 3252
14.6%
20~120분이내 67
 
0.3%
존재(정보수집중 67
 
0.3%
120~2일이내 63
 
0.3%
존재(통신점검중 63
 
0.3%

총 주자면
Real number (ℝ)

MISSING 

Distinct222
Distinct (%)2.5%
Missing179
Missing (%)2.0%
Infinite0
Infinite (%)0.0%
Mean9.6862124
Minimum1
Maximum1431
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size79.3 KiB
2024-05-18T07:38:51.540998image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile53
Maximum1431
Range1430
Interquartile range (IQR)0

Descriptive statistics

Standard deviation50.521221
Coefficient of variation (CV)5.2157871
Kurtosis278.45844
Mean9.6862124
Median Absolute Deviation (MAD)0
Skewness13.829534
Sum85568
Variance2552.3938
MonotonicityNot monotonic
2024-05-18T07:38:51.971657image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 8108
90.0%
20 17
 
0.2%
26 13
 
0.1%
18 11
 
0.1%
19 11
 
0.1%
45 9
 
0.1%
39 9
 
0.1%
13 9
 
0.1%
66 8
 
0.1%
15 8
 
0.1%
Other values (212) 631
 
7.0%
(Missing) 179
 
2.0%
ValueCountFrequency (%)
1 8108
90.0%
3 2
 
< 0.1%
4 4
 
< 0.1%
5 4
 
< 0.1%
6 4
 
< 0.1%
7 6
 
0.1%
8 3
 
< 0.1%
9 3
 
< 0.1%
10 6
 
0.1%
11 7
 
0.1%
ValueCountFrequency (%)
1431 1
< 0.1%
1317 1
< 0.1%
1260 1
< 0.1%
1181 1
< 0.1%
1092 1
< 0.1%
894 1
< 0.1%
873 1
< 0.1%
859 2
< 0.1%
575 1
< 0.1%
570 1
< 0.1%

유무료구분
Boolean

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size8.9 KiB
True
8557 
False
 
456
ValueCountFrequency (%)
True 8557
94.9%
False 456
 
5.1%
2024-05-18T07:38:52.414078image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

유무료구분명
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size70.5 KiB
유료
8557 
무료
 
456

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
유료 8557
94.9%
무료 456
 
5.1%

Length

2024-05-18T07:38:52.669215image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-18T07:38:52.917704image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
유료 8557
94.9%
무료 456
 
5.1%

야간무료개방여부
Boolean

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size8.9 KiB
False
9013 
ValueCountFrequency (%)
False 9013
100.0%
2024-05-18T07:38:53.126756image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

야간무료개방여부명
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size70.5 KiB
야간 미개방
9013 

Length

Max length6
Median length6
Mean length6
Min length6

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row야간 미개방
2nd row야간 미개방
3rd row야간 미개방
4th row야간 미개방
5th row야간 미개방

Common Values

ValueCountFrequency (%)
야간 미개방 9013
100.0%

Length

2024-05-18T07:38:53.443935image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-18T07:38:53.762005image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
야간 9013
50.0%
미개방 9013
50.0%

평일 운영 시작시각(HHMM)
Real number (ℝ)

ZEROS 

Distinct15
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean789.62709
Minimum0
Maximum1830
Zeros1190
Zeros (%)13.2%
Negative0
Negative (%)0.0%
Memory size79.3 KiB
2024-05-18T07:38:54.062485image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q1900
median900
Q3900
95-th percentile1000
Maximum1830
Range1830
Interquartile range (IQR)0

Descriptive statistics

Standard deviation314.69574
Coefficient of variation (CV)0.39853716
Kurtosis2.3865153
Mean789.62709
Median Absolute Deviation (MAD)0
Skewness-1.9589016
Sum7116909
Variance99033.41
MonotonicityNot monotonic
2024-05-18T07:38:54.571167image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=15)
ValueCountFrequency (%)
900 6456
71.6%
0 1190
 
13.2%
830 579
 
6.4%
1000 322
 
3.6%
1200 153
 
1.7%
1100 149
 
1.7%
800 87
 
1.0%
1300 52
 
0.6%
600 9
 
0.1%
700 8
 
0.1%
Other values (5) 8
 
0.1%
ValueCountFrequency (%)
0 1190
 
13.2%
500 3
 
< 0.1%
600 9
 
0.1%
700 8
 
0.1%
800 87
 
1.0%
830 579
 
6.4%
900 6456
71.6%
919 1
 
< 0.1%
1000 322
 
3.6%
1030 1
 
< 0.1%
ValueCountFrequency (%)
1830 2
 
< 0.1%
1300 52
 
0.6%
1200 153
 
1.7%
1130 1
 
< 0.1%
1100 149
 
1.7%
1030 1
 
< 0.1%
1000 322
 
3.6%
919 1
 
< 0.1%
900 6456
71.6%
830 579
 
6.4%

평일 운영 종료시각(HHMM)
Real number (ℝ)

ZEROS 

Distinct14
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1765.4826
Minimum0
Maximum2400
Zeros725
Zeros (%)8.0%
Negative0
Negative (%)0.0%
Memory size79.3 KiB
2024-05-18T07:38:55.183970image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11900
median1900
Q31900
95-th percentile2359
Maximum2400
Range2400
Interquartile range (IQR)0

Descriptive statistics

Standard deviation568.18936
Coefficient of variation (CV)0.32183231
Kurtosis5.2748684
Mean1765.4826
Median Absolute Deviation (MAD)0
Skewness-2.5322056
Sum15912295
Variance322839.15
MonotonicityNot monotonic
2024-05-18T07:38:55.579165image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
1900 5590
62.0%
1800 1163
 
12.9%
0 725
 
8.0%
2400 440
 
4.9%
2100 432
 
4.8%
2200 294
 
3.3%
2000 142
 
1.6%
100 81
 
0.9%
2300 68
 
0.8%
1700 41
 
0.5%
Other values (4) 37
 
0.4%
ValueCountFrequency (%)
0 725
 
8.0%
100 81
 
0.9%
600 1
 
< 0.1%
1159 13
 
0.1%
1700 41
 
0.5%
1800 1163
 
12.9%
1900 5590
62.0%
2000 142
 
1.6%
2100 432
 
4.8%
2130 1
 
< 0.1%
ValueCountFrequency (%)
2400 440
 
4.9%
2359 22
 
0.2%
2300 68
 
0.8%
2200 294
 
3.3%
2130 1
 
< 0.1%
2100 432
 
4.8%
2000 142
 
1.6%
1900 5590
62.0%
1800 1163
 
12.9%
1700 41
 
0.5%

주말 운영 시작시각(HHMM)
Real number (ℝ)

ZEROS 

Distinct14
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean585.10807
Minimum0
Maximum1300
Zeros3222
Zeros (%)35.7%
Negative0
Negative (%)0.0%
Memory size79.3 KiB
2024-05-18T07:38:56.065236image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median900
Q3900
95-th percentile1000
Maximum1300
Range1300
Interquartile range (IQR)900

Descriptive statistics

Standard deviation439.8124
Coefficient of variation (CV)0.75167721
Kurtosis-1.6100027
Mean585.10807
Median Absolute Deviation (MAD)0
Skewness-0.54059329
Sum5273579
Variance193434.95
MonotonicityNot monotonic
2024-05-18T07:38:56.605815image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
900 4732
52.5%
0 3222
35.7%
830 430
 
4.8%
1000 371
 
4.1%
1200 102
 
1.1%
1300 52
 
0.6%
1100 52
 
0.6%
800 37
 
0.4%
500 5
 
0.1%
600 4
 
< 0.1%
Other values (4) 6
 
0.1%
ValueCountFrequency (%)
0 3222
35.7%
500 5
 
0.1%
600 4
 
< 0.1%
700 3
 
< 0.1%
800 37
 
0.4%
830 430
 
4.8%
900 4732
52.5%
919 1
 
< 0.1%
1000 371
 
4.1%
1030 1
 
< 0.1%
ValueCountFrequency (%)
1300 52
 
0.6%
1200 102
 
1.1%
1130 1
 
< 0.1%
1100 52
 
0.6%
1030 1
 
< 0.1%
1000 371
 
4.1%
919 1
 
< 0.1%
900 4732
52.5%
830 430
 
4.8%
800 37
 
0.4%

주말 운영 종료시각(HHMM)
Real number (ℝ)

ZEROS 

Distinct19
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1161.8036
Minimum0
Maximum2400
Zeros2757
Zeros (%)30.6%
Negative0
Negative (%)0.0%
Memory size79.3 KiB
2024-05-18T07:38:57.099559image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1500
Q31500
95-th percentile2359
Maximum2400
Range2400
Interquartile range (IQR)1500

Descriptive statistics

Standard deviation811.18061
Coefficient of variation (CV)0.69820803
Kurtosis-1.2199792
Mean1161.8036
Median Absolute Deviation (MAD)300
Skewness-0.50134028
Sum10471336
Variance658013.98
MonotonicityNot monotonic
2024-05-18T07:38:57.585830image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
1500 3921
43.5%
0 2757
30.6%
1900 575
 
6.4%
2400 433
 
4.8%
1800 346
 
3.8%
2100 307
 
3.4%
1300 211
 
2.3%
2200 171
 
1.9%
1600 76
 
0.8%
2300 65
 
0.7%
Other values (9) 151
 
1.7%
ValueCountFrequency (%)
0 2757
30.6%
100 3
 
< 0.1%
500 1
 
< 0.1%
1159 13
 
0.1%
1200 1
 
< 0.1%
1300 211
 
2.3%
1400 10
 
0.1%
1500 3921
43.5%
1600 76
 
0.8%
1700 51
 
0.6%
ValueCountFrequency (%)
2400 433
4.8%
2359 21
 
0.2%
2300 65
 
0.7%
2200 171
 
1.9%
2100 307
3.4%
2000 50
 
0.6%
1900 575
6.4%
1800 346
3.8%
1730 1
 
< 0.1%
1700 51
 
0.6%

공휴일 운영 시작시각(HHMM)
Real number (ℝ)

ZEROS 

Distinct14
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean136.34051
Minimum0
Maximum2400
Zeros7666
Zeros (%)85.1%
Negative0
Negative (%)0.0%
Memory size79.3 KiB
2024-05-18T07:38:57.993418image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile900
Maximum2400
Range2400
Interquartile range (IQR)0

Descriptive statistics

Standard deviation329.03042
Coefficient of variation (CV)2.413299
Kurtosis2.6477453
Mean136.34051
Median Absolute Deviation (MAD)0
Skewness2.0784706
Sum1228837
Variance108261.01
MonotonicityNot monotonic
2024-05-18T07:38:58.453701image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
0 7666
85.1%
900 609
 
6.8%
830 430
 
4.8%
1000 139
 
1.5%
1300 52
 
0.6%
1200 48
 
0.5%
800 30
 
0.3%
1100 23
 
0.3%
500 5
 
0.1%
600 5
 
0.1%
Other values (4) 6
 
0.1%
ValueCountFrequency (%)
0 7666
85.1%
59 2
 
< 0.1%
500 5
 
0.1%
600 5
 
0.1%
700 2
 
< 0.1%
800 30
 
0.3%
830 430
 
4.8%
900 609
 
6.8%
919 1
 
< 0.1%
1000 139
 
1.5%
ValueCountFrequency (%)
2400 1
 
< 0.1%
1300 52
 
0.6%
1200 48
 
0.5%
1100 23
 
0.3%
1000 139
 
1.5%
919 1
 
< 0.1%
900 609
6.8%
830 430
4.8%
800 30
 
0.3%
700 2
 
< 0.1%

공휴일 운영 종료시각(HHMM)
Real number (ℝ)

ZEROS 

Distinct15
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean424.47642
Minimum0
Maximum2400
Zeros7161
Zeros (%)79.5%
Negative0
Negative (%)0.0%
Memory size79.3 KiB
2024-05-18T07:38:59.092878image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile2400
Maximum2400
Range2400
Interquartile range (IQR)0

Descriptive statistics

Standard deviation843.15795
Coefficient of variation (CV)1.9863481
Kurtosis0.42790257
Mean424.47642
Median Absolute Deviation (MAD)0
Skewness1.5252597
Sum3825806
Variance710915.32
MonotonicityNot monotonic
2024-05-18T07:38:59.550049image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=15)
ValueCountFrequency (%)
0 7161
79.5%
1900 597
 
6.6%
2400 475
 
5.3%
1800 250
 
2.8%
2100 191
 
2.1%
2200 159
 
1.8%
2000 50
 
0.6%
2300 50
 
0.6%
1700 40
 
0.4%
2359 20
 
0.2%
Other values (5) 20
 
0.2%
ValueCountFrequency (%)
0 7161
79.5%
100 4
 
< 0.1%
1159 13
 
0.1%
1200 1
 
< 0.1%
1500 1
 
< 0.1%
1700 40
 
0.4%
1800 250
 
2.8%
1900 597
 
6.6%
2000 50
 
0.6%
2100 191
 
2.1%
ValueCountFrequency (%)
2400 475
5.3%
2359 20
 
0.2%
2300 50
 
0.6%
2259 1
 
< 0.1%
2200 159
 
1.8%
2100 191
 
2.1%
2000 50
 
0.6%
1900 597
6.6%
1800 250
2.8%
1700 40
 
0.4%

최종데이터 동기화 시간
Date

Distinct1814
Distinct (%)20.1%
Missing0
Missing (%)0.0%
Memory size70.5 KiB
Minimum2019-06-10 09:30:49
Maximum2024-04-08 15:08:46
2024-05-18T07:39:00.151007image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T07:39:00.905427image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

토요일 유,무료 구분
Boolean

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size8.9 KiB
False
7243 
True
1770 
ValueCountFrequency (%)
False 7243
80.4%
True 1770
 
19.6%
2024-05-18T07:39:01.299478image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

토요일 유,무료 구분명
Categorical

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size70.5 KiB
무료
7243 
유료
1770 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
무료 7243
80.4%
유료 1770
 
19.6%

Length

2024-05-18T07:39:01.661996image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-18T07:39:01.937811image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
무료 7243
80.4%
유료 1770
 
19.6%

공휴일 유,무료 구분
Boolean

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size8.9 KiB
True
5889 
False
3124 
ValueCountFrequency (%)
True 5889
65.3%
False 3124
34.7%
2024-05-18T07:39:02.256180image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

공휴일 유,무료 구분명
Categorical

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size70.5 KiB
유료
5889 
무료
3124 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
유료 5889
65.3%
무료 3124
34.7%

Length

2024-05-18T07:39:02.654021image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-18T07:39:02.960089image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
유료 5889
65.3%
무료 3124
34.7%

월 정기권 금액
Real number (ℝ)

MISSING  ZEROS 

Distinct45
Distinct (%)0.6%
Missing1760
Missing (%)19.5%
Infinite0
Infinite (%)0.0%
Mean75914.835
Minimum0
Maximum350000
Zeros2772
Zeros (%)30.8%
Negative0
Negative (%)0.0%
Memory size79.3 KiB
2024-05-18T07:39:03.418149image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median80000
Q3120000
95-th percentile200000
Maximum350000
Range350000
Interquartile range (IQR)120000

Descriptive statistics

Standard deviation69548.514
Coefficient of variation (CV)0.91613864
Kurtosis-0.7589005
Mean75914.835
Median Absolute Deviation (MAD)70000
Skewness0.37083141
Sum5.506103 × 108
Variance4.8369957 × 109
MonotonicityNot monotonic
2024-05-18T07:39:04.060927image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=45)
ValueCountFrequency (%)
0 2772
30.8%
120000 1580
17.5%
200000 508
 
5.6%
150000 479
 
5.3%
80000 419
 
4.6%
70000 379
 
4.2%
100000 356
 
3.9%
50000 197
 
2.2%
130000 194
 
2.2%
250000 96
 
1.1%
Other values (35) 273
 
3.0%
(Missing) 1760
19.5%
ValueCountFrequency (%)
0 2772
30.8%
150 1
 
< 0.1%
250 3
 
< 0.1%
400 1
 
< 0.1%
25000 2
 
< 0.1%
30000 1
 
< 0.1%
42000 1
 
< 0.1%
50000 197
 
2.2%
60000 27
 
0.3%
65000 57
 
0.6%
ValueCountFrequency (%)
350000 6
 
0.1%
280000 7
 
0.1%
250000 96
 
1.1%
240000 6
 
0.1%
200000 508
5.6%
182000 1
 
< 0.1%
180000 35
 
0.4%
176000 2
 
< 0.1%
175000 2
 
< 0.1%
170000 7
 
0.1%

노상 주차장 관리그룹번호
Real number (ℝ)

MISSING 

Distinct864
Distinct (%)10.7%
Missing929
Missing (%)10.3%
Infinite0
Infinite (%)0.0%
Mean1.1431933 × 1012
Minimum1.1110101 × 1012
Maximum1.1740109 × 1012
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size79.3 KiB
2024-05-18T07:39:04.539823image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1.1110101 × 1012
5-th percentile1.114011 × 1012
Q11.1230101 × 1012
median1.1500103 × 1012
Q31.156011 × 1012
95-th percentile1.1680113 × 1012
Maximum1.1740109 × 1012
Range6.30008 × 1010
Interquartile range (IQR)3.30009 × 1010

Descriptive statistics

Standard deviation1.8818668 × 1010
Coefficient of variation (CV)0.016461493
Kurtosis-1.1752673
Mean1.1431933 × 1012
Median Absolute Deviation (MAD)1.19998 × 1010
Skewness-0.37702309
Sum9.2415744 × 1015
Variance3.5414225 × 1020
MonotonicityNot monotonic
2024-05-18T07:39:05.379590image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1150010300317 306
 
3.4%
1168011300001 258
 
2.9%
1150010300296 209
 
2.3%
1120011500006 163
 
1.8%
1168011000007 138
 
1.5%
1150010300297 116
 
1.3%
1168010600058 96
 
1.1%
1156011000122 91
 
1.0%
1114015500020 89
 
1.0%
1171011100044 88
 
1.0%
Other values (854) 6530
72.5%
(Missing) 929
 
10.3%
ValueCountFrequency (%)
1111010100001 33
0.4%
1111010300001 7
 
0.1%
1111010700001 1
 
< 0.1%
1111011000002 11
 
0.1%
1111011400001 16
0.2%
1111011400002 5
 
0.1%
1111011400003 9
 
0.1%
1111011500005 4
 
< 0.1%
1111011700002 1
 
< 0.1%
1111011900002 13
 
0.1%
ValueCountFrequency (%)
1174010900030 1
 
< 0.1%
1174010900001 1
 
< 0.1%
1174010800034 29
0.3%
1174010800003 1
 
< 0.1%
1174010100088 1
 
< 0.1%
1174010100012 2
 
< 0.1%
1174010100011 1
 
< 0.1%
1174010100010 1
 
< 0.1%
1171011100095 2
 
< 0.1%
1171011100094 39
0.4%

기본 주차 요금
Real number (ℝ)

MISSING  ZEROS 

Distinct44
Distinct (%)0.5%
Missing219
Missing (%)2.4%
Infinite0
Infinite (%)0.0%
Mean322.51535
Minimum0
Maximum8100
Zeros459
Zeros (%)5.1%
Negative0
Negative (%)0.0%
Memory size79.3 KiB
2024-05-18T07:39:05.950035image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q1150
median250
Q3450
95-th percentile900
Maximum8100
Range8100
Interquartile range (IQR)300

Descriptive statistics

Standard deviation282.23147
Coefficient of variation (CV)0.87509468
Kurtosis94.145263
Mean322.51535
Median Absolute Deviation (MAD)100
Skewness5.2600743
Sum2836200
Variance79654.601
MonotonicityNot monotonic
2024-05-18T07:39:06.600853image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=44)
ValueCountFrequency (%)
250 1609
17.9%
200 1153
12.8%
500 941
10.4%
100 888
9.9%
150 711
7.9%
300 629
 
7.0%
0 459
 
5.1%
900 426
 
4.7%
750 398
 
4.4%
400 274
 
3.0%
Other values (34) 1306
14.5%
(Missing) 219
 
2.4%
ValueCountFrequency (%)
0 459
5.1%
50 77
 
0.9%
65 13
 
0.1%
75 1
 
< 0.1%
80 1
 
< 0.1%
100 888
9.9%
120 107
 
1.2%
130 34
 
0.4%
150 711
7.9%
160 105
 
1.2%
ValueCountFrequency (%)
8100 1
 
< 0.1%
6000 1
 
< 0.1%
4000 1
 
< 0.1%
3000 6
 
0.1%
2500 1
 
< 0.1%
2200 1
 
< 0.1%
2000 3
 
< 0.1%
1500 19
 
0.2%
1200 89
1.0%
1000 26
 
0.3%

기본 주차 시간(분 단위)
Real number (ℝ)

MISSING  ZEROS 

Distinct10
Distinct (%)0.1%
Missing220
Missing (%)2.4%
Infinite0
Infinite (%)0.0%
Mean7.2119868
Minimum0
Maximum540
Zeros456
Zeros (%)5.1%
Negative0
Negative (%)0.0%
Memory size79.3 KiB
2024-05-18T07:39:07.296325image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q15
median5
Q35
95-th percentile30
Maximum540
Range540
Interquartile range (IQR)0

Descriptive statistics

Standard deviation11.630236
Coefficient of variation (CV)1.6126258
Kurtosis705.96774
Mean7.2119868
Median Absolute Deviation (MAD)0
Skewness18.852574
Sum63415
Variance135.26238
MonotonicityNot monotonic
2024-05-18T07:39:07.878129image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
5 7415
82.3%
30 476
 
5.3%
0 456
 
5.1%
10 316
 
3.5%
60 124
 
1.4%
120 2
 
< 0.1%
420 1
 
< 0.1%
240 1
 
< 0.1%
20 1
 
< 0.1%
540 1
 
< 0.1%
(Missing) 220
 
2.4%
ValueCountFrequency (%)
0 456
 
5.1%
5 7415
82.3%
10 316
 
3.5%
20 1
 
< 0.1%
30 476
 
5.3%
60 124
 
1.4%
120 2
 
< 0.1%
240 1
 
< 0.1%
420 1
 
< 0.1%
540 1
 
< 0.1%
ValueCountFrequency (%)
540 1
 
< 0.1%
420 1
 
< 0.1%
240 1
 
< 0.1%
120 2
 
< 0.1%
60 124
 
1.4%
30 476
 
5.3%
20 1
 
< 0.1%
10 316
 
3.5%
5 7415
82.3%
0 456
 
5.1%

추가 단위 요금
Real number (ℝ)

MISSING  ZEROS 

Distinct41
Distinct (%)0.5%
Missing1049
Missing (%)11.6%
Infinite0
Infinite (%)0.0%
Mean354.61954
Minimum0
Maximum4800
Zeros1316
Zeros (%)14.6%
Negative0
Negative (%)0.0%
Memory size79.3 KiB
2024-05-18T07:39:08.376563image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q1160
median250
Q3600
95-th percentile1000
Maximum4800
Range4800
Interquartile range (IQR)440

Descriptive statistics

Standard deviation305.38267
Coefficient of variation (CV)0.8611558
Kurtosis8.9330529
Mean354.61954
Median Absolute Deviation (MAD)200
Skewness1.4779872
Sum2824190
Variance93258.577
MonotonicityNot monotonic
2024-05-18T07:39:08.993815image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=41)
ValueCountFrequency (%)
250 1435
15.9%
0 1316
14.6%
200 874
9.7%
600 616
6.8%
500 509
 
5.6%
900 425
 
4.7%
1000 407
 
4.5%
750 398
 
4.4%
300 282
 
3.1%
150 257
 
2.9%
Other values (31) 1445
16.0%
(Missing) 1049
11.6%
ValueCountFrequency (%)
0 1316
14.6%
50 67
 
0.7%
65 12
 
0.1%
80 1
 
< 0.1%
100 165
 
1.8%
120 107
 
1.2%
130 34
 
0.4%
150 257
 
2.9%
160 105
 
1.2%
170 103
 
1.1%
ValueCountFrequency (%)
4800 1
 
< 0.1%
4000 1
 
< 0.1%
3000 2
 
< 0.1%
1500 4
 
< 0.1%
1200 10
 
0.1%
1100 1
 
< 0.1%
1000 407
4.5%
900 425
4.7%
800 86
 
1.0%
750 398
4.4%

추가 단위 시간(분 단위)
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct7
Distinct (%)0.1%
Missing1050
Missing (%)11.6%
Infinite0
Infinite (%)0.0%
Mean6.4692955
Minimum0
Maximum540
Zeros1315
Zeros (%)14.6%
Negative0
Negative (%)0.0%
Memory size79.3 KiB
2024-05-18T07:39:09.534374image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q15
median5
Q35
95-th percentile30
Maximum540
Range540
Interquartile range (IQR)0

Descriptive statistics

Standard deviation9.2510904
Coefficient of variation (CV)1.4299997
Kurtosis1392.2805
Mean6.4692955
Median Absolute Deviation (MAD)0
Skewness25.442153
Sum51515
Variance85.582673
MonotonicityNot monotonic
2024-05-18T07:39:09.852426image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
5 5246
58.2%
0 1315
 
14.6%
10 886
 
9.8%
30 499
 
5.5%
60 15
 
0.2%
15 1
 
< 0.1%
540 1
 
< 0.1%
(Missing) 1050
 
11.6%
ValueCountFrequency (%)
0 1315
 
14.6%
5 5246
58.2%
10 886
 
9.8%
15 1
 
< 0.1%
30 499
 
5.5%
60 15
 
0.2%
540 1
 
< 0.1%
ValueCountFrequency (%)
540 1
 
< 0.1%
60 15
 
0.2%
30 499
 
5.5%
15 1
 
< 0.1%
10 886
 
9.8%
5 5246
58.2%
0 1315
 
14.6%

버스 기본 주차 요금
Categorical

IMBALANCE 

Distinct6
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size70.5 KiB
0
8702 
<NA>
 
307
8100
 
1
860
 
1
8160
 
1

Length

Max length4
Median length1
Mean length1.1034062
Min length1

Unique

Unique4 ?
Unique (%)< 0.1%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 8702
96.5%
<NA> 307
 
3.4%
8100 1
 
< 0.1%
860 1
 
< 0.1%
8160 1
 
< 0.1%
6000 1
 
< 0.1%

Length

2024-05-18T07:39:10.203639image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-18T07:39:10.649209image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 8702
96.5%
na 307
 
3.4%
8100 1
 
< 0.1%
860 1
 
< 0.1%
8160 1
 
< 0.1%
6000 1
 
< 0.1%

버스 기본 주차 시간(분 단위)
Categorical

IMBALANCE 

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size70.5 KiB
0
8702 
<NA>
 
307
120
 
3
5
 
1

Length

Max length4
Median length1
Mean length1.1028514
Min length1

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 8702
96.5%
<NA> 307
 
3.4%
120 3
 
< 0.1%
5 1
 
< 0.1%

Length

2024-05-18T07:39:11.017128image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-18T07:39:11.325976image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 8702
96.5%
na 307
 
3.4%
120 3
 
< 0.1%
5 1
 
< 0.1%

버스 추가 단위 시간(분 단위)
Categorical

IMBALANCE 

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size70.5 KiB
0
8702 
<NA>
 
308
5
 
3

Length

Max length4
Median length1
Mean length1.1025186
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 8702
96.5%
<NA> 308
 
3.4%
5 3
 
< 0.1%

Length

2024-05-18T07:39:11.818944image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-18T07:39:12.414088image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 8702
96.5%
na 308
 
3.4%
5 3
 
< 0.1%

버스 추가 단위 요금
Categorical

IMBALANCE 

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size70.5 KiB
0
8702 
<NA>
 
308
680
 
2
500
 
1

Length

Max length4
Median length1
Mean length1.1031843
Min length1

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 8702
96.5%
<NA> 308
 
3.4%
680 2
 
< 0.1%
500 1
 
< 0.1%

Length

2024-05-18T07:39:13.040214image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-18T07:39:13.401729image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 8702
96.5%
na 308
 
3.4%
680 2
 
< 0.1%
500 1
 
< 0.1%

일 최대 요금
Real number (ℝ)

MISSING  ZEROS 

Distinct50
Distinct (%)0.7%
Missing2003
Missing (%)22.2%
Infinite0
Infinite (%)0.0%
Mean9243.3274
Minimum0
Maximum200000
Zeros3212
Zeros (%)35.6%
Negative0
Negative (%)0.0%
Memory size79.3 KiB
2024-05-18T07:39:14.188407image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median9000
Q310000
95-th percentile36000
Maximum200000
Range200000
Interquartile range (IQR)10000

Descriptive statistics

Standard deviation11981.147
Coefficient of variation (CV)1.2961942
Kurtosis15.309776
Mean9243.3274
Median Absolute Deviation (MAD)9000
Skewness2.217215
Sum64795725
Variance1.4354789 × 108
MonotonicityNot monotonic
2024-05-18T07:39:15.226070image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 3212
35.6%
10000 1783
19.8%
24000 475
 
5.3%
36000 461
 
5.1%
9000 335
 
3.7%
15000 159
 
1.8%
33000 155
 
1.7%
5000 85
 
0.9%
30000 77
 
0.9%
20000 63
 
0.7%
Other values (40) 205
 
2.3%
(Missing) 2003
22.2%
ValueCountFrequency (%)
0 3212
35.6%
5 5
 
0.1%
2000 22
 
0.2%
3000 3
 
< 0.1%
5000 85
 
0.9%
5700 1
 
< 0.1%
6000 38
 
0.4%
7000 1
 
< 0.1%
8000 1
 
< 0.1%
8100 5
 
0.1%
ValueCountFrequency (%)
200000 1
 
< 0.1%
170000 1
 
< 0.1%
100000 2
 
< 0.1%
85000 1
 
< 0.1%
80000 1
 
< 0.1%
72000 1
 
< 0.1%
70000 1
 
< 0.1%
50400 2
 
< 0.1%
50000 3
 
< 0.1%
48000 26
0.3%

위도
Real number (ℝ)

MISSING 

Distinct7203
Distinct (%)98.6%
Missing1707
Missing (%)18.9%
Infinite0
Infinite (%)0.0%
Mean37.537083
Minimum37.438884
Maximum37.689721
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size79.3 KiB
2024-05-18T07:39:16.056883image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum37.438884
5-th percentile37.46889
Q137.513532
median37.529955
Q337.565966
95-th percentile37.614346
Maximum37.689721
Range0.25083703
Interquartile range (IQR)0.052434111

Descriptive statistics

Standard deviation0.041916314
Coefficient of variation (CV)0.0011166641
Kurtosis0.44271757
Mean37.537083
Median Absolute Deviation (MAD)0.030477885
Skewness0.42684485
Sum274245.93
Variance0.0017569774
MonotonicityNot monotonic
2024-05-18T07:39:16.686386image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
37.4939274 18
 
0.2%
37.5903188 5
 
0.1%
37.5901647 4
 
< 0.1%
37.590271 3
 
< 0.1%
37.5902923 3
 
< 0.1%
37.5903401 3
 
< 0.1%
37.56804 3
 
< 0.1%
37.4792 3
 
< 0.1%
37.4944547 3
 
< 0.1%
37.57096583 2
 
< 0.1%
Other values (7193) 7259
80.5%
(Missing) 1707
 
18.9%
ValueCountFrequency (%)
37.43888366 1
< 0.1%
37.44556 1
< 0.1%
37.44656 1
< 0.1%
37.452236 1
< 0.1%
37.452255 1
< 0.1%
37.45258 1
< 0.1%
37.45263 1
< 0.1%
37.452682 1
< 0.1%
37.452732 1
< 0.1%
37.452774 1
< 0.1%
ValueCountFrequency (%)
37.68972069 1
< 0.1%
37.6876442 1
< 0.1%
37.67070279 1
< 0.1%
37.67069961 1
< 0.1%
37.67069546 1
< 0.1%
37.67068814 1
< 0.1%
37.67067356 1
< 0.1%
37.67067242 1
< 0.1%
37.67066482 1
< 0.1%
37.67065711 1
< 0.1%

경도
Real number (ℝ)

MISSING 

Distinct7204
Distinct (%)98.6%
Missing1707
Missing (%)18.9%
Infinite0
Infinite (%)0.0%
Mean126.96228
Minimum126.51031
Maximum127.17231
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size79.3 KiB
2024-05-18T07:39:17.105684image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum126.51031
5-th percentile126.8437
Q1126.8914
median126.94376
Q3127.03109
95-th percentile127.11799
Maximum127.17231
Range0.66199806
Interquartile range (IQR)0.13969578

Descriptive statistics

Standard deviation0.085043458
Coefficient of variation (CV)0.00066983246
Kurtosis-1.0438009
Mean126.96228
Median Absolute Deviation (MAD)0.076676988
Skewness0.16805644
Sum927586.44
Variance0.0072323898
MonotonicityNot monotonic
2024-05-18T07:39:17.601217image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
126.89742 4
 
< 0.1%
126.89745 4
 
< 0.1%
126.978344 4
 
< 0.1%
126.904434 3
 
< 0.1%
126.90446 3
 
< 0.1%
126.9006 3
 
< 0.1%
126.90464 3
 
< 0.1%
126.9180869 3
 
< 0.1%
126.9180799 3
 
< 0.1%
126.89372 3
 
< 0.1%
Other values (7194) 7273
80.7%
(Missing) 1707
 
18.9%
ValueCountFrequency (%)
126.51031494 1
< 0.1%
126.79821222 1
< 0.1%
126.80518976 1
< 0.1%
126.81217459 1
< 0.1%
126.81331479 1
< 0.1%
126.81616825 1
< 0.1%
126.81617105 1
< 0.1%
126.81617332 1
< 0.1%
126.81617631 1
< 0.1%
126.81617784 1
< 0.1%
ValueCountFrequency (%)
127.172313 1
< 0.1%
127.15591212 1
< 0.1%
127.15038338 1
< 0.1%
127.146035 1
< 0.1%
127.138958 1
< 0.1%
127.138897 1
< 0.1%
127.138835 1
< 0.1%
127.138773 1
< 0.1%
127.138711 1
< 0.1%
127.138649 1
< 0.1%

Sample

주차장코드주차장명주소주차장 종류주차장 종류명운영구분운영구분명전화번호주차현황 정보 제공여부주차현황 정보 제공여부명총 주자면유무료구분유무료구분명야간무료개방여부야간무료개방여부명평일 운영 시작시각(HHMM)평일 운영 종료시각(HHMM)주말 운영 시작시각(HHMM)주말 운영 종료시각(HHMM)공휴일 운영 시작시각(HHMM)공휴일 운영 종료시각(HHMM)최종데이터 동기화 시간토요일 유,무료 구분토요일 유,무료 구분명공휴일 유,무료 구분공휴일 유,무료 구분명월 정기권 금액노상 주차장 관리그룹번호기본 주차 요금기본 주차 시간(분 단위)추가 단위 요금추가 단위 시간(분 단위)버스 기본 주차 요금버스 기본 주차 시간(분 단위)버스 추가 단위 시간(분 단위)버스 추가 단위 요금일 최대 요금위도경도
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41025696당산근린공원 공영(구)영등포구 당산동3가 385-0NW노외 주차장1시간제 주차장02-2677-14011현재~20분이내 연계데이터 존재(현재 주차대수 표현)190Y유료N야간 미개방0240002400024002023-06-30 15:22:17N무료N무료100000<NA>1505150500000<NA><NA>
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주차장코드주차장명주소주차장 종류주차장 종류명운영구분운영구분명전화번호주차현황 정보 제공여부주차현황 정보 제공여부명총 주자면유무료구분유무료구분명야간무료개방여부야간무료개방여부명평일 운영 시작시각(HHMM)평일 운영 종료시각(HHMM)주말 운영 시작시각(HHMM)주말 운영 종료시각(HHMM)공휴일 운영 시작시각(HHMM)공휴일 운영 종료시각(HHMM)최종데이터 동기화 시간토요일 유,무료 구분토요일 유,무료 구분명공휴일 유,무료 구분공휴일 유,무료 구분명월 정기권 금액노상 주차장 관리그룹번호기본 주차 요금기본 주차 시간(분 단위)추가 단위 요금추가 단위 시간(분 단위)버스 기본 주차 요금버스 기본 주차 시간(분 단위)버스 추가 단위 시간(분 단위)버스 추가 단위 요금일 최대 요금위도경도
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