Overview

Dataset statistics

Number of variables6
Number of observations10000
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory585.9 KiB
Average record size in memory60.0 B

Variable types

Categorical1
Numeric4
DateTime1

Dataset

Description서울시설공단에서 운영하는 공영주차장의 일별 주차현황 데이터입니다. 공영주차장의 일별 입차대수와 출차대수 정보를 제공하고 있습니다.
Author서울시설공단
URLhttps://www.data.go.kr/data/15090918/fileData.do

Alerts

주차면수 is highly overall correlated with 입차대수 and 2 other fieldsHigh correlation
입차대수 is highly overall correlated with 주차면수 and 1 other fieldsHigh correlation
출차대수 is highly overall correlated with 주차면수 and 1 other fieldsHigh correlation
주차장명 is highly overall correlated with 주차면수High correlation
입차대수 has 170 (1.7%) zerosZeros
출차대수 has 184 (1.8%) zerosZeros
피크시간 has 301 (3.0%) zerosZeros

Reproduction

Analysis started2024-04-13 11:54:04.080979
Analysis finished2024-04-13 11:54:11.212721
Duration7.13 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

주차장명
Categorical

HIGH CORRELATION 

Distinct39
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
잠실역
 
327
종묘
 
319
장안1동
 
316
남산예장
 
311
세종로
 
310
Other values (34)
8417 

Length

Max length8
Median length7
Mean length4.0835
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row개화산역
2nd row동대문
3rd row구파발역
4th row웃우물
5th row신대방역

Common Values

ValueCountFrequency (%)
잠실역 327
 
3.3%
종묘 319
 
3.2%
장안1동 316
 
3.2%
남산예장 311
 
3.1%
세종로 310
 
3.1%
가양라이품 306
 
3.1%
개화산역 303
 
3.0%
개화역 303
 
3.0%
웃우물 299
 
3.0%
서울글로벌센터 299
 
3.0%
Other values (29) 6907
69.1%

Length

2024-04-13T20:54:11.441777image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
잠실역 327
 
3.3%
종묘 319
 
3.2%
장안1동 316
 
3.2%
남산예장 311
 
3.1%
세종로 310
 
3.1%
가양라이품 306
 
3.1%
개화산역 303
 
3.0%
개화역 303
 
3.0%
웃우물 299
 
3.0%
서울글로벌센터 299
 
3.0%
Other values (29) 6907
69.1%

주차면수
Real number (ℝ)

HIGH CORRELATION 

Distinct56
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean366.6317
Minimum18
Maximum1617
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-13T20:54:11.828621image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum18
5-th percentile38
Q179
median192
Q3483
95-th percentile1432
Maximum1617
Range1599
Interquartile range (IQR)404

Descriptive statistics

Standard deviation418.00952
Coefficient of variation (CV)1.1401347
Kurtosis1.8751373
Mean366.6317
Median Absolute Deviation (MAD)146
Skewness1.6799319
Sum3666317
Variance174731.96
MonotonicityNot monotonic
2024-04-13T20:54:12.285797image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
79 583
 
5.8%
38 427
 
4.3%
1617 319
 
3.2%
1260 310
 
3.1%
483 303
 
3.0%
561 296
 
3.0%
199 295
 
2.9%
1092 284
 
2.8%
137 281
 
2.8%
180 275
 
2.8%
Other values (46) 6627
66.3%
ValueCountFrequency (%)
18 74
 
0.7%
28 100
 
1.0%
30 182
1.8%
38 427
4.3%
39 102
 
1.0%
40 209
2.1%
44 178
1.8%
46 202
2.0%
53 84
 
0.8%
60 211
2.1%
ValueCountFrequency (%)
1617 319
3.2%
1432 203
2.0%
1431 90
 
0.9%
1260 310
3.1%
1092 284
2.8%
873 271
2.7%
574 15
 
0.1%
568 169
1.7%
561 296
3.0%
553 87
 
0.9%

연월일
Date

Distinct878
Distinct (%)8.8%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
Minimum2021-10-29 00:00:00
Maximum2024-03-31 00:00:00
2024-04-13T20:54:12.841938image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-13T20:54:13.281189image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

입차대수
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct1601
Distinct (%)16.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean397.8313
Minimum0
Maximum7688
Zeros170
Zeros (%)1.7%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-13T20:54:13.708176image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile20
Q180
median215
Q3458
95-th percentile1570
Maximum7688
Range7688
Interquartile range (IQR)378

Descriptive statistics

Standard deviation484.18179
Coefficient of variation (CV)1.217053
Kurtosis20.014005
Mean397.8313
Median Absolute Deviation (MAD)163
Skewness2.9970242
Sum3978313
Variance234432
MonotonicityNot monotonic
2024-04-13T20:54:14.171039image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 170
 
1.7%
54 53
 
0.5%
42 50
 
0.5%
56 47
 
0.5%
47 45
 
0.4%
62 44
 
0.4%
51 43
 
0.4%
43 43
 
0.4%
40 43
 
0.4%
53 43
 
0.4%
Other values (1591) 9419
94.2%
ValueCountFrequency (%)
0 170
1.7%
1 12
 
0.1%
2 6
 
0.1%
3 9
 
0.1%
4 14
 
0.1%
5 7
 
0.1%
6 14
 
0.1%
7 15
 
0.1%
8 12
 
0.1%
9 20
 
0.2%
ValueCountFrequency (%)
7688 1
< 0.1%
6928 1
< 0.1%
6801 1
< 0.1%
6340 1
< 0.1%
6310 1
< 0.1%
5491 1
< 0.1%
4563 1
< 0.1%
3563 1
< 0.1%
3052 1
< 0.1%
2487 1
< 0.1%

출차대수
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct1581
Distinct (%)15.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean400.6875
Minimum0
Maximum7995
Zeros184
Zeros (%)1.8%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-13T20:54:14.609063image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile18
Q180
median219
Q3466
95-th percentile1587.05
Maximum7995
Range7995
Interquartile range (IQR)386

Descriptive statistics

Standard deviation488.75363
Coefficient of variation (CV)1.2197876
Kurtosis21.388207
Mean400.6875
Median Absolute Deviation (MAD)166
Skewness3.0508731
Sum4006875
Variance238880.11
MonotonicityNot monotonic
2024-04-13T20:54:15.060793image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 184
 
1.8%
39 46
 
0.5%
51 45
 
0.4%
40 45
 
0.4%
44 44
 
0.4%
45 43
 
0.4%
54 43
 
0.4%
60 43
 
0.4%
77 40
 
0.4%
62 40
 
0.4%
Other values (1571) 9427
94.3%
ValueCountFrequency (%)
0 184
1.8%
1 28
 
0.3%
2 18
 
0.2%
3 14
 
0.1%
4 12
 
0.1%
5 10
 
0.1%
6 19
 
0.2%
7 23
 
0.2%
8 17
 
0.2%
9 16
 
0.2%
ValueCountFrequency (%)
7995 1
< 0.1%
7437 1
< 0.1%
6958 1
< 0.1%
6378 1
< 0.1%
6060 1
< 0.1%
5576 1
< 0.1%
4628 1
< 0.1%
3693 1
< 0.1%
3077 1
< 0.1%
2533 1
< 0.1%

피크시간
Real number (ℝ)

ZEROS 

Distinct24
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean13.9021
Minimum0
Maximum23
Zeros301
Zeros (%)3.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-13T20:54:15.395865image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile4
Q112
median14
Q316
95-th percentile23
Maximum23
Range23
Interquartile range (IQR)4

Descriptive statistics

Standard deviation4.8152086
Coefficient of variation (CV)0.34636556
Kurtosis1.3727536
Mean13.9021
Median Absolute Deviation (MAD)2
Skewness-0.69070988
Sum139021
Variance23.186234
MonotonicityNot monotonic
2024-04-13T20:54:15.606953image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=24)
ValueCountFrequency (%)
13 1593
15.9%
12 1257
12.6%
14 1150
11.5%
15 1119
11.2%
16 750
7.5%
11 540
 
5.4%
23 523
 
5.2%
20 502
 
5.0%
19 411
 
4.1%
17 367
 
3.7%
Other values (14) 1788
17.9%
ValueCountFrequency (%)
0 301
3.0%
1 128
1.3%
2 15
 
0.1%
3 34
 
0.3%
4 106
 
1.1%
5 118
 
1.2%
6 65
 
0.7%
7 95
 
0.9%
8 90
 
0.9%
9 119
 
1.2%
ValueCountFrequency (%)
23 523
5.2%
22 89
 
0.9%
21 136
 
1.4%
20 502
5.0%
19 411
 
4.1%
18 304
 
3.0%
17 367
 
3.7%
16 750
7.5%
15 1119
11.2%
14 1150
11.5%

Interactions

2024-04-13T20:54:09.529697image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-13T20:54:06.144615image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-13T20:54:07.284173image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-13T20:54:08.408018image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-13T20:54:09.801572image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-13T20:54:06.441652image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-13T20:54:07.573812image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-13T20:54:08.695130image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-13T20:54:10.075289image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-13T20:54:06.731391image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-13T20:54:07.858059image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-13T20:54:08.981827image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-13T20:54:10.350293image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-13T20:54:07.018722image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-13T20:54:08.144121image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-13T20:54:09.266928image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-04-13T20:54:15.754086image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
주차장명주차면수입차대수출차대수피크시간
주차장명1.0001.0000.7330.7250.826
주차면수1.0001.0000.7790.6400.578
입차대수0.7330.7791.0000.9850.281
출차대수0.7250.6400.9851.0000.375
피크시간0.8260.5780.2810.3751.000
2024-04-13T20:54:15.921805image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
주차면수입차대수출차대수피크시간주차장명
주차면수1.0000.8040.804-0.1140.993
입차대수0.8041.0000.993-0.0670.368
출차대수0.8040.9931.000-0.0700.346
피크시간-0.114-0.067-0.0701.0000.459
주차장명0.9930.3680.3460.4591.000

Missing values

2024-04-13T20:54:10.679872image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-04-13T20:54:11.047770image/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

주차장명주차면수연월일입차대수출차대수피크시간
23141개화산역3212023-09-0313813612
8571동대문10922022-07-023725011
14666구파발역3992022-12-2863760713
5564웃우물792022-04-05394315
22988신대방역642023-08-2916817114
25651볕우물972023-11-1867695
1823수서역북5532021-12-2063362710
27255개화산역3212024-01-0540441912
28475장안2동802024-02-0928285
22275동대문10922023-08-0825524615
주차장명주차면수연월일입차대수출차대수피크시간
10457수서역북5682022-08-272652824
22397서울글로벌센터442023-08-120023
23050사당노외1832023-08-3145646520
17707수서역남692023-03-2910011416
14582장안1동742022-12-25454022
6356세종로12602022-04-2869470413
24462동구로712023-10-1457590
665잠실역3462021-11-1795195113
15803신방화역1992023-01-2912212316
28359세종로12602024-02-0697598314