Overview

Dataset statistics

Number of variables5
Number of observations10000
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory498.0 KiB
Average record size in memory51.0 B

Variable types

Categorical1
DateTime1
Numeric3

Dataset

Description서울시설공단에서 운영하는 공영주차장의 시간별 주차현황 데이터입니다. 공영주차장의 시간별 입차대수와 출차대수 정보를 제공하고 있습니다.
Author서울시설공단
URLhttps://www.data.go.kr/data/15090908/fileData.do

Alerts

주차면수 is highly overall correlated with 주차장명High correlation
입차대수 is highly overall correlated with 출차대수High correlation
출차대수 is highly overall correlated with 입차대수High correlation
주차장명 is highly overall correlated with 주차면수High correlation
입차대수 has 1925 (19.2%) zerosZeros
출차대수 has 1899 (19.0%) zerosZeros

Reproduction

Analysis started2024-04-13 12:43:56.675403
Analysis finished2024-04-13 12:44:01.412155
Duration4.74 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

주차장명
Categorical

HIGH CORRELATION 

Distinct35
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
가양라이품
 
319
화랑대역
 
319
천호역
 
309
학여울역
 
305
개화산역
 
304
Other values (30)
8444 

Length

Max length8
Median length7
Mean length4.1085
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row수락산역
2nd row수락산역
3rd row도봉산역
4th row장안1동
5th row복정역

Common Values

ValueCountFrequency (%)
가양라이품 319
 
3.2%
화랑대역 319
 
3.2%
천호역 309
 
3.1%
학여울역 305
 
3.0%
개화산역 304
 
3.0%
수서역북 302
 
3.0%
훈련원공원 298
 
3.0%
수락산역 297
 
3.0%
신설동 296
 
3.0%
장안1동 295
 
2.9%
Other values (25) 6956
69.6%

Length

2024-04-13T21:44:01.645112image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
가양라이품 319
 
3.2%
화랑대역 319
 
3.2%
천호역 309
 
3.1%
학여울역 305
 
3.0%
개화산역 304
 
3.0%
수서역북 302
 
3.0%
훈련원공원 298
 
3.0%
수락산역 297
 
3.0%
신설동 296
 
3.0%
장안1동 295
 
2.9%
Other values (25) 6956
69.6%

시간대
Date

Distinct2807
Distinct (%)28.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
Minimum2021-09-29 00:00:00
Maximum2022-01-26 14:00:00
2024-04-13T21:44:02.044532image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-13T21:44:02.461704image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

주차면수
Real number (ℝ)

HIGH CORRELATION 

Distinct32
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean360.5194
Minimum18
Maximum1432
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-13T21:44:02.839512image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum18
5-th percentile30
Q179
median199
Q3483
95-th percentile1317
Maximum1432
Range1414
Interquartile range (IQR)404

Descriptive statistics

Standard deviation385.84691
Coefficient of variation (CV)1.0702528
Kurtosis1.3541841
Mean360.5194
Median Absolute Deviation (MAD)146
Skewness1.5404524
Sum3605194
Variance148877.84
MonotonicityNot monotonic
2024-04-13T21:44:03.238596image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=32)
ValueCountFrequency (%)
322 596
 
6.0%
38 580
 
5.8%
79 565
 
5.7%
319 319
 
3.2%
1432 309
 
3.1%
180 305
 
3.0%
553 302
 
3.0%
873 298
 
3.0%
157 297
 
3.0%
74 295
 
2.9%
Other values (22) 6134
61.3%
ValueCountFrequency (%)
18 276
2.8%
30 293
2.9%
38 580
5.8%
40 269
2.7%
53 227
 
2.3%
60 276
2.8%
74 295
2.9%
79 565
5.7%
80 277
2.8%
92 271
2.7%
ValueCountFrequency (%)
1432 309
3.1%
1317 273
2.7%
1260 293
2.9%
1092 292
2.9%
873 298
3.0%
561 290
2.9%
553 302
3.0%
505 290
2.9%
483 288
2.9%
399 274
2.7%

입차대수
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct207
Distinct (%)2.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean15.5755
Minimum0
Maximum285
Zeros1925
Zeros (%)19.2%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-13T21:44:03.631211image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median5
Q316
95-th percentile73
Maximum285
Range285
Interquartile range (IQR)15

Descriptive statistics

Standard deviation28.753006
Coefficient of variation (CV)1.8460407
Kurtosis18.43243
Mean15.5755
Median Absolute Deviation (MAD)5
Skewness3.7677568
Sum155755
Variance826.73537
MonotonicityNot monotonic
2024-04-13T21:44:04.168152image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1925
19.2%
1 1042
 
10.4%
2 758
 
7.6%
3 548
 
5.5%
4 465
 
4.7%
5 361
 
3.6%
6 332
 
3.3%
8 311
 
3.1%
9 269
 
2.7%
7 252
 
2.5%
Other values (197) 3737
37.4%
ValueCountFrequency (%)
0 1925
19.2%
1 1042
10.4%
2 758
 
7.6%
3 548
 
5.5%
4 465
 
4.7%
5 361
 
3.6%
6 332
 
3.3%
7 252
 
2.5%
8 311
 
3.1%
9 269
 
2.7%
ValueCountFrequency (%)
285 1
< 0.1%
274 1
< 0.1%
269 1
< 0.1%
265 2
< 0.1%
263 1
< 0.1%
261 1
< 0.1%
259 1
< 0.1%
257 1
< 0.1%
244 1
< 0.1%
242 1
< 0.1%

출차대수
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct193
Distinct (%)1.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean15.6737
Minimum0
Maximum252
Zeros1899
Zeros (%)19.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-13T21:44:04.582791image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median5
Q317
95-th percentile70
Maximum252
Range252
Interquartile range (IQR)16

Descriptive statistics

Standard deviation27.507775
Coefficient of variation (CV)1.7550275
Kurtosis15.076832
Mean15.6737
Median Absolute Deviation (MAD)5
Skewness3.4335658
Sum156737
Variance756.6777
MonotonicityNot monotonic
2024-04-13T21:44:05.019044image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1899
19.0%
1 1002
 
10.0%
2 691
 
6.9%
3 567
 
5.7%
4 511
 
5.1%
5 420
 
4.2%
6 368
 
3.7%
7 320
 
3.2%
8 255
 
2.5%
9 227
 
2.3%
Other values (183) 3740
37.4%
ValueCountFrequency (%)
0 1899
19.0%
1 1002
10.0%
2 691
 
6.9%
3 567
 
5.7%
4 511
 
5.1%
5 420
 
4.2%
6 368
 
3.7%
7 320
 
3.2%
8 255
 
2.5%
9 227
 
2.3%
ValueCountFrequency (%)
252 1
 
< 0.1%
250 2
< 0.1%
247 1
 
< 0.1%
229 1
 
< 0.1%
227 1
 
< 0.1%
223 1
 
< 0.1%
221 2
< 0.1%
216 1
 
< 0.1%
213 3
< 0.1%
212 1
 
< 0.1%

Interactions

2024-04-13T21:44:00.072506image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-13T21:43:58.474187image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-13T21:43:59.294219image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-13T21:44:00.343765image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-13T21:43:58.759058image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-13T21:43:59.563683image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-13T21:44:00.597646image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-13T21:43:59.025641image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-13T21:43:59.816972image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-04-13T21:44:05.278496image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
주차장명주차면수입차대수출차대수
주차장명1.0001.0000.5650.559
주차면수1.0001.0000.4510.451
입차대수0.5650.4511.0000.529
출차대수0.5590.4510.5291.000
2024-04-13T21:44:05.533018image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
주차면수입차대수출차대수주차장명
주차면수1.0000.4350.4920.999
입차대수0.4351.0000.7350.230
출차대수0.4920.7351.0000.227
주차장명0.9990.2300.2271.000

Missing values

2024-04-13T21:44:00.932206image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-04-13T21:44:01.260316image/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

주차장명시간대주차면수입차대수출차대수
2999수락산역2021-10-02 161571118
45491수락산역2021-11-22 171571112
30623도봉산역2021-11-05 00364514
28820장안1동2021-11-02 207441
64669복정역2021-12-15 133221512
87570사당노외2022-01-11 191843118
72808천호역2021-12-25 05143224
65040신천유수지2021-12-15 2321405
16026영등포구청역2021-10-18 1513789
5954수서역남2021-10-06 071870
주차장명시간대주차면수입차대수출차대수
51432장안2동2021-11-29 188015
27564잠실역2021-11-01 09346944
17366신대방역2021-10-20 056034
33738도봉산역2021-11-08 17364711
77670세종로2021-12-31 00126016
95356신월4동2022-01-21 015300
37969구파발역2021-11-13 183992229
32492훈련원공원2021-11-07 0587301
14370신대방역2021-10-16 14601420
74906신대방역2021-12-27 1760108