Overview

Dataset statistics

Number of variables4
Number of observations10000
Missing cells880
Missing cells (%)2.2%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory410.2 KiB
Average record size in memory42.0 B

Variable types

Numeric2
Categorical2

Dataset

Description- 국내 공항별로 월별, 도착출발별 운항 수 통계를 제공합니다. - 데이터 제공처: KOSIS 국가통계포털
Author제주데이터허브
URLhttps://www.jejudatahub.net/data/view/data/786

Alerts

운항수(편) has 880 (8.8%) missing valuesMissing

Reproduction

Analysis started2023-12-11 20:00:42.414085
Analysis finished2023-12-11 20:00:43.197078
Duration0.78 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

기준일(월)
Real number (ℝ)

Distinct212
Distinct (%)2.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean201340.69
Minimum200501
Maximum202208
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-12T05:00:43.283286image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum200501
5-th percentile200511
Q1200905
median201311
Q3201804
95-th percentile202110
Maximum202208
Range1707
Interquartile range (IQR)899

Descriptive statistics

Standard deviation511.49526
Coefficient of variation (CV)0.0025404466
Kurtosis-1.207316
Mean201340.69
Median Absolute Deviation (MAD)409
Skewness0.0025711164
Sum2.0134069 × 109
Variance261627.41
MonotonicityNot monotonic
2023-12-12T05:00:43.432336image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
201408 51
 
0.5%
200711 51
 
0.5%
201909 51
 
0.5%
201308 51
 
0.5%
200610 50
 
0.5%
200802 50
 
0.5%
201008 50
 
0.5%
202006 50
 
0.5%
201605 50
 
0.5%
200606 50
 
0.5%
Other values (202) 9496
95.0%
ValueCountFrequency (%)
200501 44
0.4%
200502 46
0.5%
200503 49
0.5%
200504 47
0.5%
200505 46
0.5%
200506 50
0.5%
200507 48
0.5%
200508 50
0.5%
200509 47
0.5%
200510 48
0.5%
ValueCountFrequency (%)
202208 44
0.4%
202207 43
0.4%
202206 45
0.4%
202205 49
0.5%
202204 49
0.5%
202203 49
0.5%
202202 49
0.5%
202201 47
0.5%
202112 48
0.5%
202111 50
0.5%

공항
Categorical

Distinct18
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
울산
 
607
합계
 
606
원주
 
601
군산
 
598
목포
 
595
Other values (13)
6993 

Length

Max length4
Median length2
Mean length2.0084
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row인천
2nd row울산
3rd row포항
4th row제주
5th row합계

Common Values

ValueCountFrequency (%)
울산 607
 
6.1%
합계 606
 
6.1%
원주 601
 
6.0%
군산 598
 
6.0%
목포 595
 
5.9%
사천 592
 
5.9%
광주 589
 
5.9%
대구 588
 
5.9%
양양 586
 
5.9%
김해 585
 
5.9%
Other values (8) 4053
40.5%

Length

2023-12-12T05:00:43.577793image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
울산 607
 
6.1%
합계 606
 
6.1%
원주 601
 
6.0%
군산 598
 
6.0%
목포 595
 
5.9%
사천 592
 
5.9%
광주 589
 
5.9%
대구 588
 
5.9%
양양 586
 
5.9%
김해 585
 
5.9%
Other values (8) 4053
40.5%

도착출발구분
Categorical

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
도착
3339 
계
3337 
출발
3324 

Length

Max length2
Median length2
Mean length1.6663
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row계
2nd row계
3rd row계
4th row출발
5th row도착

Common Values

ValueCountFrequency (%)
도착 3339
33.4%
계 3337
33.4%
출발 3324
33.2%

Length

2023-12-12T05:00:43.726261image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T05:00:43.821775image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
도착 3339
33.4%
계 3337
33.4%
출발 3324
33.2%

운항수(편)
Real number (ℝ)

MISSING 

Distinct3811
Distinct (%)41.8%
Missing880
Missing (%)8.8%
Infinite0
Infinite (%)0.0%
Mean4626.1002
Minimum0
Maximum81444
Zeros2
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-12T05:00:43.963899image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile28
Q1106
median446
Q34618
95-th percentile25241.35
Maximum81444
Range81444
Interquartile range (IQR)4512

Descriptive statistics

Standard deviation10176.271
Coefficient of variation (CV)2.1997516
Kurtosis16.189337
Mean4626.1002
Median Absolute Deviation (MAD)392
Skewness3.6844809
Sum42190034
Variance1.035565 × 108
MonotonicityNot monotonic
2023-12-12T05:00:44.133650image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
60 149
 
1.5%
30 121
 
1.2%
62 117
 
1.2%
29 84
 
0.8%
31 76
 
0.8%
58 60
 
0.6%
28 58
 
0.6%
120 49
 
0.5%
56 49
 
0.5%
124 45
 
0.4%
Other values (3801) 8312
83.1%
(Missing) 880
 
8.8%
ValueCountFrequency (%)
0 2
 
< 0.1%
1 10
 
0.1%
2 23
0.2%
3 5
 
0.1%
4 16
0.2%
5 11
 
0.1%
6 10
 
0.1%
7 13
0.1%
8 31
0.3%
9 22
0.2%
ValueCountFrequency (%)
81444 1
< 0.1%
80159 1
< 0.1%
79058 1
< 0.1%
78976 1
< 0.1%
77696 1
< 0.1%
77204 1
< 0.1%
77117 1
< 0.1%
76728 1
< 0.1%
76649 1
< 0.1%
76610 1
< 0.1%

Interactions

2023-12-12T05:00:42.815913image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T05:00:42.624176image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T05:00:42.915186image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T05:00:42.706947image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T05:00:44.232790image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
기준일(월)공항도착출발구분운항수(편)
기준일(월)1.0000.1490.0000.318
공항0.1491.0000.0000.711
도착출발구분0.0000.0001.0000.292
운항수(편)0.3180.7110.2921.000
2023-12-12T05:00:44.320482image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
도착출발구분공항
도착출발구분1.0000.000
공항0.0001.000
2023-12-12T05:00:44.406925image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
기준일(월)운항수(편)공항도착출발구분
기준일(월)1.0000.0570.0570.000
운항수(편)0.0571.0000.3660.182
공항0.0570.3661.0000.000
도착출발구분0.0000.1820.0001.000

Missing values

2023-12-12T05:00:43.055722image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T05:00:43.150490image/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

기준일(월)공항도착출발구분운항수(편)
5961201409인천계24511
3291201005울산계720
1053200609포항계254
2816200908제주출발4843
4285201201합계도착25239
9190202001제주도착7564
1669200709사천도착94
9867202102광주계1051
3292201005울산도착360
5427201311양양계10
기준일(월)공항도착출발구분운항수(편)
1882200801인천도착9171
1973200803포항출발109
1644200709청주계743
8637201902무안계544
9657202010무안계22
411200509김포계7882
8068201803제주도착6849
2695200905원주도착31
7838201710포항출발55
80200502울산출발476