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.
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 105 (1.1%) zerosZeros
출차대수 has 136 (1.4%) zerosZeros
피크시간 has 268 (2.7%) zerosZeros

Reproduction

Analysis started2023-12-12 14:49:49.793475
Analysis finished2023-12-12 14:49:52.691042
Duration2.9 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

주차장명
Categorical

HIGH CORRELATION 

Distinct38
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
웃우물
 
311
사당노외
 
310
신방화역
 
309
신설동
 
306
용산주차빌딩
 
302
Other values (33)
8462 

Length

Max length8
Median length7
Mean length4.1147
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row도봉산역
2nd row장안1동
3rd row종묘
4th row개화역
5th row개화산역

Common Values

ValueCountFrequency (%)
웃우물 311
 
3.1%
사당노외 310
 
3.1%
신방화역 309
 
3.1%
신설동 306
 
3.1%
용산주차빌딩 302
 
3.0%
도봉산역 302
 
3.0%
수서역북 301
 
3.0%
남산예장 299
 
3.0%
신대방역 296
 
3.0%
서울글로벌센터 295
 
2.9%
Other values (28) 6969
69.7%

Length

2023-12-12T23:49:52.779227image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
웃우물 311
 
3.1%
사당노외 310
 
3.1%
신방화역 309
 
3.1%
신설동 306
 
3.1%
용산주차빌딩 302
 
3.0%
도봉산역 302
 
3.0%
수서역북 301
 
3.0%
남산예장 299
 
3.0%
신대방역 296
 
3.0%
서울글로벌센터 295
 
2.9%
Other values (28) 6969
69.7%

주차면수
Real number (ℝ)

HIGH CORRELATION 

Distinct45
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean359.0591
Minimum18
Maximum1617
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-12T23:49:52.951125image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum18
5-th percentile38
Q179
median184
Q3483
95-th percentile1432
Maximum1617
Range1599
Interquartile range (IQR)404

Descriptive statistics

Standard deviation408.43797
Coefficient of variation (CV)1.137523
Kurtosis2.0803619
Mean359.0591
Median Absolute Deviation (MAD)144
Skewness1.7188638
Sum3590591
Variance166821.57
MonotonicityNot monotonic
2023-12-12T23:49:53.159827image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=45)
ValueCountFrequency (%)
79 617
 
6.2%
38 475
 
4.8%
199 309
 
3.1%
364 302
 
3.0%
561 302
 
3.0%
40 299
 
3.0%
60 296
 
3.0%
1092 293
 
2.9%
346 290
 
2.9%
137 288
 
2.9%
Other values (35) 6529
65.3%
ValueCountFrequency (%)
18 128
 
1.3%
30 278
2.8%
38 475
4.8%
40 299
3.0%
44 112
 
1.1%
46 159
 
1.6%
53 128
 
1.3%
60 296
3.0%
69 147
 
1.5%
71 85
 
0.9%
ValueCountFrequency (%)
1617 286
2.9%
1432 281
2.8%
1260 284
2.8%
1092 293
2.9%
873 273
2.7%
568 166
1.7%
561 302
3.0%
553 135
1.4%
505 137
1.4%
503 153
1.5%

연월일
Date

Distinct576
Distinct (%)5.8%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
Minimum2021-10-29 00:00:00
Maximum2023-05-31 00:00:00
2023-12-12T23:49:53.342207image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:49:53.523109image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

입차대수
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct1545
Distinct (%)15.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean384.9527
Minimum0
Maximum6310
Zeros105
Zeros (%)1.1%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-12T23:49:53.717866image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile21.95
Q185
median211.5
Q3453
95-th percentile1532.05
Maximum6310
Range6310
Interquartile range (IQR)368

Descriptive statistics

Standard deviation455.55337
Coefficient of variation (CV)1.1834009
Kurtosis11.710892
Mean384.9527
Median Absolute Deviation (MAD)157.5
Skewness2.5598407
Sum3849527
Variance207528.88
MonotonicityNot monotonic
2023-12-12T23:49:53.888602image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 105
 
1.1%
50 49
 
0.5%
66 49
 
0.5%
53 48
 
0.5%
49 48
 
0.5%
41 46
 
0.5%
42 43
 
0.4%
54 43
 
0.4%
47 40
 
0.4%
35 39
 
0.4%
Other values (1535) 9490
94.9%
ValueCountFrequency (%)
0 105
1.1%
1 20
 
0.2%
2 13
 
0.1%
3 10
 
0.1%
4 13
 
0.1%
5 10
 
0.1%
6 14
 
0.1%
7 17
 
0.2%
8 15
 
0.1%
9 18
 
0.2%
ValueCountFrequency (%)
6310 1
< 0.1%
5800 1
< 0.1%
5576 1
< 0.1%
4863 1
< 0.1%
4563 1
< 0.1%
4103 1
< 0.1%
3563 1
< 0.1%
3240 1
< 0.1%
3203 1
< 0.1%
2877 1
< 0.1%

출차대수
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct1530
Distinct (%)15.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean387.9
Minimum0
Maximum6378
Zeros136
Zeros (%)1.4%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-12T23:49:54.102799image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile19
Q184
median216
Q3456
95-th percentile1558.05
Maximum6378
Range6378
Interquartile range (IQR)372

Descriptive statistics

Standard deviation460.63253
Coefficient of variation (CV)1.1875033
Kurtosis11.759801
Mean387.9
Median Absolute Deviation (MAD)162
Skewness2.5595473
Sum3879000
Variance212182.33
MonotonicityNot monotonic
2023-12-12T23:49:54.302965image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 136
 
1.4%
75 48
 
0.5%
45 48
 
0.5%
51 47
 
0.5%
44 47
 
0.5%
60 45
 
0.4%
49 44
 
0.4%
52 41
 
0.4%
54 41
 
0.4%
48 40
 
0.4%
Other values (1520) 9463
94.6%
ValueCountFrequency (%)
0 136
1.4%
1 38
 
0.4%
2 16
 
0.2%
3 13
 
0.1%
4 21
 
0.2%
5 15
 
0.1%
6 20
 
0.2%
7 17
 
0.2%
8 14
 
0.1%
9 14
 
0.1%
ValueCountFrequency (%)
6378 1
< 0.1%
5874 1
< 0.1%
5628 1
< 0.1%
4947 1
< 0.1%
4628 1
< 0.1%
4239 1
< 0.1%
3693 1
< 0.1%
3327 1
< 0.1%
3247 1
< 0.1%
2951 1
< 0.1%

피크시간
Real number (ℝ)

ZEROS 

Distinct24
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean14.0801
Minimum0
Maximum23
Zeros268
Zeros (%)2.7%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-12T23:49:54.471026image/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 deviation4.7286912
Coefficient of variation (CV)0.33584216
Kurtosis1.4771435
Mean14.0801
Median Absolute Deviation (MAD)2
Skewness-0.65312694
Sum140801
Variance22.36052
MonotonicityNot monotonic
2023-12-12T23:49:54.950180image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=24)
ValueCountFrequency (%)
13 1549
15.5%
12 1248
12.5%
15 1178
11.8%
14 1174
11.7%
16 715
7.1%
23 574
 
5.7%
11 543
 
5.4%
20 540
 
5.4%
19 432
 
4.3%
17 406
 
4.1%
Other values (14) 1641
16.4%
ValueCountFrequency (%)
0 268
2.7%
1 118
1.2%
2 14
 
0.1%
3 30
 
0.3%
4 104
 
1.0%
5 69
 
0.7%
6 59
 
0.6%
7 93
 
0.9%
8 83
 
0.8%
9 121
1.2%
ValueCountFrequency (%)
23 574
5.7%
22 78
 
0.8%
21 142
 
1.4%
20 540
5.4%
19 432
 
4.3%
18 248
 
2.5%
17 406
 
4.1%
16 715
7.1%
15 1178
11.8%
14 1174
11.7%

Interactions

2023-12-12T23:49:51.990872image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:49:50.552865image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:49:51.015634image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:49:51.463408image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:49:52.144024image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:49:50.704737image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:49:51.155774image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:49:51.583218image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:49:52.257779image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:49:50.808083image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:49:51.272511image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:49:51.684175image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:49:52.391435image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:49:50.927661image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:49:51.373500image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:49:51.796019image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T23:49:55.054812image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
주차장명주차면수입차대수출차대수피크시간
주차장명1.0000.9990.7760.7770.836
주차면수0.9991.0000.6860.6880.594
입차대수0.7760.6861.0000.9990.404
출차대수0.7770.6880.9991.0000.421
피크시간0.8360.5940.4040.4211.000
2023-12-12T23:49:55.178725image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
주차면수입차대수출차대수피크시간주차장명
주차면수1.0000.8010.803-0.1490.993
입차대수0.8011.0000.991-0.0930.400
출차대수0.8030.9911.000-0.0930.401
피크시간-0.149-0.093-0.0931.0000.477
주차장명0.9930.4000.4010.4771.000

Missing values

2023-12-12T23:49:52.511339image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T23:49:52.639093image/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
7303도봉산역3642022-05-2644043114
16787장안1동742023-03-0283914
16178종묘16172023-02-091585159013
13975개화역4832022-12-0834934313
6519개화산역3222022-05-0336936611
16832수서역남692023-03-04576913
13470신천유수지1922022-11-2323624213
11124신천유수지1922022-09-1522123012
13509장안1동742022-11-2482894
16995수서역북5682023-03-0869270810
주차장명주차면수연월일입차대수출차대수피크시간
12781종묘16172022-11-031496150715
3657종묘16172022-02-101408143014
12410마포유수지5032022-10-2335635514
9209학여울역1802022-07-2111211113
19080도봉산역3642023-05-0731432214
5390잠실역3462022-04-0175276316
8443장안1동742022-06-2865704
18189암사1동992023-04-1171680
87종묘16172021-10-3190290616
9506수서역남692022-07-30365615