Overview

Dataset statistics

Number of variables5
Number of observations1260
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory53.0 KiB
Average record size in memory43.1 B

Variable types

Categorical1
Numeric3
DateTime1

Dataset

Description서울시설공단에서 운영하는 공영주차장의 월별 주차현황 데이터입니다. 공영주차장의 월별 입차대수와 출차대수 정보를 제공하고 있습니다.
Author서울시설공단
URLhttps://www.data.go.kr/data/15090926/fileData.do

Alerts

주차면수 is highly overall correlated with 입차대수 and 2 other fieldsHigh correlation
입차대수 is highly overall correlated with 주차면수 and 2 other fieldsHigh correlation
출차대수 is highly overall correlated with 주차면수 and 2 other fieldsHigh correlation
주차장명 is highly overall correlated with 주차면수 and 2 other fieldsHigh correlation

Reproduction

Analysis started2024-04-21 02:01:25.660343
Analysis finished2024-04-21 02:01:28.295790
Duration2.64 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

주차장명
Categorical

HIGH CORRELATION 

Distinct34
Distinct (%)2.7%
Missing0
Missing (%)0.0%
Memory size10.0 KiB
잠실역
 
39
도봉산역
 
39
천왕역
 
39
구파발역
 
39
신대방역
 
39
Other values (29)
1065 

Length

Max length8
Median length7
Mean length4.097619
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row잠실역
2nd row신방화역
3rd row훈련원공원
4th row세종로
5th row학여울역

Common Values

ValueCountFrequency (%)
잠실역 39
 
3.1%
도봉산역 39
 
3.1%
천왕역 39
 
3.1%
구파발역 39
 
3.1%
신대방역 39
 
3.1%
개화역 39
 
3.1%
용산주차빌딩 39
 
3.1%
학여울역 39
 
3.1%
종묘 39
 
3.1%
적선노외 39
 
3.1%
Other values (24) 870
69.0%

Length

2024-04-21T11:01:28.384265image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
잠실역 39
 
3.1%
훈련원공원 39
 
3.1%
신방화역 39
 
3.1%
수서역북 39
 
3.1%
천호역 39
 
3.1%
복정역 39
 
3.1%
서울글로벌센터 39
 
3.1%
개화산역 39
 
3.1%
사당노외 39
 
3.1%
구로디지털단지역 39
 
3.1%
Other values (24) 870
69.0%

주차면수
Real number (ℝ)

HIGH CORRELATION 

Distinct32
Distinct (%)2.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean370.84524
Minimum28
Maximum1431
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size11.2 KiB
2024-04-21T11:01:28.529203image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum28
5-th percentile38
Q179
median192
Q3483
95-th percentile1317
Maximum1431
Range1403
Interquartile range (IQR)404

Descriptive statistics

Standard deviation393.80223
Coefficient of variation (CV)1.0619045
Kurtosis1.0593698
Mean370.84524
Median Absolute Deviation (MAD)148
Skewness1.4625894
Sum467265
Variance155080.19
MonotonicityNot monotonic
2024-04-21T11:01:28.652697image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=32)
ValueCountFrequency (%)
79 72
 
5.7%
71 50
 
4.0%
357 39
 
3.1%
503 39
 
3.1%
1092 39
 
3.1%
321 39
 
3.1%
183 39
 
3.1%
137 39
 
3.1%
44 39
 
3.1%
362 39
 
3.1%
Other values (22) 826
65.6%
ValueCountFrequency (%)
28 39
3.1%
38 39
3.1%
39 38
3.0%
44 39
3.1%
46 30
2.4%
64 39
3.1%
71 50
4.0%
79 72
5.7%
80 33
2.6%
91 39
3.1%
ValueCountFrequency (%)
1431 39
3.1%
1317 39
3.1%
1260 39
3.1%
1092 39
3.1%
873 39
3.1%
574 39
3.1%
561 39
3.1%
503 39
3.1%
483 39
3.1%
399 39
3.1%

연월
Date

Distinct39
Distinct (%)3.1%
Missing0
Missing (%)0.0%
Memory size10.0 KiB
Minimum2021-01-01 00:00:00
Maximum2024-03-01 00:00:00
2024-04-21T11:01:28.770923image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T11:01:28.901979image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=39)

입차대수
Real number (ℝ)

HIGH CORRELATION 

Distinct1213
Distinct (%)96.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean12131.137
Minimum0
Maximum72139
Zeros10
Zeros (%)0.8%
Negative0
Negative (%)0.0%
Memory size11.2 KiB
2024-04-21T11:01:29.035954image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile842.7
Q13966
median8063
Q315761
95-th percentile43455.7
Maximum72139
Range72139
Interquartile range (IQR)11795

Descriptive statistics

Standard deviation12893.601
Coefficient of variation (CV)1.0628518
Kurtosis3.2074991
Mean12131.137
Median Absolute Deviation (MAD)5511
Skewness1.8548304
Sum15285233
Variance1.6624494 × 108
MonotonicityNot monotonic
2024-04-21T11:01:29.168687image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 10
 
0.8%
1296 4
 
0.3%
1395 2
 
0.2%
5354 2
 
0.2%
8771 2
 
0.2%
10986 2
 
0.2%
15759 2
 
0.2%
1527 2
 
0.2%
6124 2
 
0.2%
1338 2
 
0.2%
Other values (1203) 1230
97.6%
ValueCountFrequency (%)
0 10
0.8%
8 1
 
0.1%
14 1
 
0.1%
19 1
 
0.1%
26 1
 
0.1%
48 1
 
0.1%
304 1
 
0.1%
337 1
 
0.1%
440 1
 
0.1%
464 1
 
0.1%
ValueCountFrequency (%)
72139 1
0.1%
62990 1
0.1%
61208 1
0.1%
60630 1
0.1%
60394 1
0.1%
60287 1
0.1%
59637 1
0.1%
59037 1
0.1%
58970 1
0.1%
58967 2
0.2%

출차대수
Real number (ℝ)

HIGH CORRELATION 

Distinct1211
Distinct (%)96.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean12194.023
Minimum0
Maximum72766
Zeros10
Zeros (%)0.8%
Negative0
Negative (%)0.0%
Memory size11.2 KiB
2024-04-21T11:01:29.309116image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile848.85
Q13439.25
median8132.5
Q315926.25
95-th percentile43773.2
Maximum72766
Range72766
Interquartile range (IQR)12487

Descriptive statistics

Standard deviation13023.428
Coefficient of variation (CV)1.0680173
Kurtosis3.1585994
Mean12194.023
Median Absolute Deviation (MAD)5750.5
Skewness1.8448552
Sum15364469
Variance1.6960967 × 108
MonotonicityNot monotonic
2024-04-21T11:01:29.461952image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 10
 
0.8%
556 3
 
0.2%
12243 2
 
0.2%
6619 2
 
0.2%
1537 2
 
0.2%
1386 2
 
0.2%
5438 2
 
0.2%
5692 2
 
0.2%
5280 2
 
0.2%
1245 2
 
0.2%
Other values (1201) 1231
97.7%
ValueCountFrequency (%)
0 10
0.8%
5 1
 
0.1%
8 1
 
0.1%
31 1
 
0.1%
33 1
 
0.1%
45 1
 
0.1%
51 1
 
0.1%
73 1
 
0.1%
102 1
 
0.1%
249 1
 
0.1%
ValueCountFrequency (%)
72766 1
0.1%
63653 1
0.1%
61521 1
0.1%
60702 1
0.1%
60619 1
0.1%
60023 1
0.1%
59530 1
0.1%
59328 1
0.1%
59314 1
0.1%
59238 1
0.1%

Interactions

2024-04-21T11:01:27.829731image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T11:01:27.034788image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T11:01:27.502184image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T11:01:27.924453image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T11:01:27.196925image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T11:01:27.602685image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T11:01:28.021472image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T11:01:27.410677image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T11:01:27.718055image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-04-21T11:01:29.562424image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
주차장명주차면수연월입차대수출차대수
주차장명1.0001.0000.0000.9080.907
주차면수1.0001.0000.0000.8060.803
연월0.0000.0001.0000.0000.000
입차대수0.9080.8060.0001.0001.000
출차대수0.9070.8030.0001.0001.000
2024-04-21T11:01:29.660021image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
주차면수입차대수출차대수주차장명
주차면수1.0000.8640.8640.990
입차대수0.8641.0000.9970.609
출차대수0.8640.9971.0000.608
주차장명0.9900.6090.6081.000

Missing values

2024-04-21T11:01:28.142359image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-04-21T11:01:28.248150image/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

주차장명주차면수연월입차대수출차대수
0잠실역3572021-012320923307
1신방화역1992021-0149455019
2훈련원공원8732021-012193721994
3세종로12602021-011264812864
4학여울역1802021-0122392307
5종묘13172021-013380233966
6한강진역1742021-0196699815
7용산주차빌딩5612021-011042410563
8개화역4832021-0158185887
9신대방역642021-0134133455
주차장명주차면수연월입차대수출차대수
1250천호역14312024-036063060619
1251복정역3622024-031138711343
1252서울글로벌센터442024-0315351535
1253영등포구청역1372024-0346373898
1254사당노외1832024-031098611027
1255남산예장392024-031118511148
1256신월4동462024-03554512
1257개화산역3212024-031084911379
1258신설동792024-0353545355
1259동대문10922024-034380244279