Overview

Dataset statistics

Number of variables8
Number of observations140
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory9.6 KiB
Average record size in memory69.9 B

Variable types

Categorical4
Numeric4

Dataset

Description한국공항공사의 지역별 수송실적, 노선별 수송실적, 요일별 수송실적, 운항도착/운항출발, 여객도착/여객출발 통계
URLhttps://www.data.go.kr/data/15002638/fileData.do

Alerts

연도 has constant value ""Constant
도착운항기수 is highly overall correlated with 출발운항기수 and 3 other fieldsHigh correlation
출발운항기수 is highly overall correlated with 도착운항기수 and 3 other fieldsHigh correlation
도착여객수 is highly overall correlated with 도착운항기수 and 2 other fieldsHigh correlation
출발여객수 is highly overall correlated with 도착운항기수 and 2 other fieldsHigh correlation
공항 is highly overall correlated with 도착운항기수 and 1 other fieldsHigh correlation
출발여객수 has unique valuesUnique

Reproduction

Analysis started2023-12-12 13:30:03.730264
Analysis finished2023-12-12 13:30:06.441886
Duration2.71 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연도
Categorical

CONSTANT 

Distinct1
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
2023
140 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2023
2nd row2023
3rd row2023
4th row2023
5th row2023

Common Values

ValueCountFrequency (%)
2023 140
100.0%

Length

2023-12-12T22:30:06.516388image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T22:30:06.619963image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2023 140
100.0%

요일
Categorical

Distinct7
Distinct (%)5.0%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
일
20 
월
20 
화
20 
수
20 
목
20 
Other values (2)
40 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row일
2nd row월
3rd row화
4th row수
5th row목

Common Values

ValueCountFrequency (%)
일 20
14.3%
월 20
14.3%
화 20
14.3%
수 20
14.3%
목 20
14.3%
금 20
14.3%
토 20
14.3%

Length

2023-12-12T22:30:06.762858image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T22:30:06.931429image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
일 20
14.3%
월 20
14.3%
화 20
14.3%
수 20
14.3%
목 20
14.3%
금 20
14.3%
토 20
14.3%

공항
Categorical

HIGH CORRELATION 

Distinct14
Distinct (%)10.0%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
김포
14 
김해
14 
제주
14 
대구
14 
청주
14 
Other values (9)
70 

Length

Max length4
Median length2
Mean length2.1
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row김포
2nd row김포
3rd row김포
4th row김포
5th row김포

Common Values

ValueCountFrequency (%)
김포 14
10.0%
김해 14
10.0%
제주 14
10.0%
대구 14
10.0%
청주 14
10.0%
양양 14
10.0%
광주 7
 
5.0%
여수 7
 
5.0%
울산 7
 
5.0%
원주 7
 
5.0%
Other values (4) 28
20.0%

Length

2023-12-12T22:30:07.126743image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
김포 14
10.0%
김해 14
10.0%
제주 14
10.0%
대구 14
10.0%
청주 14
10.0%
양양 14
10.0%
광주 7
 
5.0%
여수 7
 
5.0%
울산 7
 
5.0%
원주 7
 
5.0%
Other values (4) 28
20.0%

노선
Categorical

Distinct2
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
국내선
91 
국제선
49 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row국내선
2nd row국내선
3rd row국내선
4th row국내선
5th row국내선

Common Values

ValueCountFrequency (%)
국내선 91
65.0%
국제선 49
35.0%

Length

2023-12-12T22:30:07.307249image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T22:30:07.443296image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
국내선 91
65.0%
국제선 49
35.0%

도착운항기수
Real number (ℝ)

HIGH CORRELATION 

Distinct115
Distinct (%)82.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean927.85
Minimum19
Maximum6893
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 KiB
2023-12-12T22:30:07.589170image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19
5-th percentile36.9
Q158.75
median206
Q3711.25
95-th percentile5133.1
Maximum6893
Range6874
Interquartile range (IQR)652.5

Descriptive statistics

Standard deviation1704.0468
Coefficient of variation (CV)1.8365542
Kurtosis5.016452
Mean927.85
Median Absolute Deviation (MAD)164
Skewness2.4697622
Sum129899
Variance2903775.7
MonotonicityNot monotonic
2023-12-12T22:30:07.755689image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
45 4
 
2.9%
38 4
 
2.9%
35 3
 
2.1%
60 3
 
2.1%
58 2
 
1.4%
57 2
 
1.4%
54 2
 
1.4%
62 2
 
1.4%
197 2
 
1.4%
230 2
 
1.4%
Other values (105) 114
81.4%
ValueCountFrequency (%)
19 1
 
0.7%
32 2
1.4%
34 1
 
0.7%
35 3
2.1%
37 1
 
0.7%
38 4
2.9%
39 1
 
0.7%
42 2
1.4%
45 4
2.9%
46 1
 
0.7%
ValueCountFrequency (%)
6893 1
0.7%
6876 1
0.7%
6678 1
0.7%
6523 1
0.7%
6498 1
0.7%
6449 1
0.7%
6275 1
0.7%
5073 1
0.7%
5067 1
0.7%
4916 1
0.7%

출발운항기수
Real number (ℝ)

HIGH CORRELATION 

Distinct113
Distinct (%)80.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean928.71429
Minimum29
Maximum6905
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 KiB
2023-12-12T22:30:07.927885image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum29
5-th percentile35
Q159
median201.5
Q3712.5
95-th percentile5147.3
Maximum6905
Range6876
Interquartile range (IQR)653.5

Descriptive statistics

Standard deviation1705.9012
Coefficient of variation (CV)1.8368418
Kurtosis5.0186185
Mean928.71429
Median Absolute Deviation (MAD)164
Skewness2.4701423
Sum130020
Variance2910098.9
MonotonicityNot monotonic
2023-12-12T22:30:08.135702image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
35 6
 
4.3%
34 4
 
2.9%
38 4
 
2.9%
60 3
 
2.1%
59 3
 
2.1%
62 3
 
2.1%
58 2
 
1.4%
57 2
 
1.4%
197 2
 
1.4%
61 2
 
1.4%
Other values (103) 109
77.9%
ValueCountFrequency (%)
29 1
 
0.7%
32 1
 
0.7%
34 4
2.9%
35 6
4.3%
37 2
 
1.4%
38 4
2.9%
44 1
 
0.7%
48 1
 
0.7%
49 1
 
0.7%
50 2
 
1.4%
ValueCountFrequency (%)
6905 1
0.7%
6865 1
0.7%
6697 1
0.7%
6541 1
0.7%
6476 1
0.7%
6474 1
0.7%
6293 1
0.7%
5087 1
0.7%
5046 1
0.7%
4951 1
0.7%

도착여객수
Real number (ℝ)

HIGH CORRELATION 

Distinct139
Distinct (%)99.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean158405.53
Minimum1544
Maximum1217450
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 KiB
2023-12-12T22:30:08.326591image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1544
5-th percentile5068.75
Q18229
median29459.5
Q3122441.25
95-th percentile902786.8
Maximum1217450
Range1215906
Interquartile range (IQR)114212.25

Descriptive statistics

Standard deviation300094.88
Coefficient of variation (CV)1.8944723
Kurtosis5.267073
Mean158405.53
Median Absolute Deviation (MAD)23511.5
Skewness2.5162103
Sum22176774
Variance9.0056938 × 1010
MonotonicityNot monotonic
2023-12-12T22:30:08.500025image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
9536 2
 
1.4%
894262 1
 
0.7%
8654 1
 
0.7%
18133 1
 
0.7%
9232 1
 
0.7%
7969 1
 
0.7%
8103 1
 
0.7%
7620 1
 
0.7%
8807 1
 
0.7%
14621 1
 
0.7%
Other values (129) 129
92.1%
ValueCountFrequency (%)
1544 1
0.7%
3389 1
0.7%
3552 1
0.7%
4128 1
0.7%
4938 1
0.7%
4959 1
0.7%
5045 1
0.7%
5070 1
0.7%
5084 1
0.7%
5113 1
0.7%
ValueCountFrequency (%)
1217450 1
0.7%
1204441 1
0.7%
1181335 1
0.7%
1178795 1
0.7%
1174169 1
0.7%
1160228 1
0.7%
1056417 1
0.7%
894701 1
0.7%
894262 1
0.7%
849485 1
0.7%

출발여객수
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct140
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean209903.59
Minimum2506
Maximum8353512
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 KiB
2023-12-12T22:30:08.656240image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2506
5-th percentile5372.65
Q18746.25
median29911
Q3119349.25
95-th percentile1097594.4
Maximum8353512
Range8351006
Interquartile range (IQR)110603

Descriptive statistics

Standard deviation752696.05
Coefficient of variation (CV)3.5859131
Kurtosis100.02434
Mean209903.59
Median Absolute Deviation (MAD)24009
Skewness9.3635975
Sum29386503
Variance5.6655134 × 1011
MonotonicityNot monotonic
2023-12-12T22:30:08.827260image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
858292 1
 
0.7%
8435 1
 
0.7%
8948 1
 
0.7%
9166 1
 
0.7%
7568 1
 
0.7%
8834 1
 
0.7%
8874 1
 
0.7%
8795 1
 
0.7%
9201 1
 
0.7%
18190 1
 
0.7%
Other values (130) 130
92.9%
ValueCountFrequency (%)
2506 1
0.7%
2587 1
0.7%
2741 1
0.7%
2914 1
0.7%
3962 1
0.7%
4779 1
0.7%
5157 1
0.7%
5384 1
0.7%
5459 1
0.7%
5517 1
0.7%
ValueCountFrequency (%)
8353512 1
0.7%
1246777 1
0.7%
1241492 1
0.7%
1173757 1
0.7%
1156564 1
0.7%
1123768 1
0.7%
1117021 1
0.7%
1096572 1
0.7%
869604 1
0.7%
858292 1
0.7%

Interactions

2023-12-12T22:30:05.649757image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T22:30:04.127141image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T22:30:04.607658image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T22:30:05.129569image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T22:30:05.766047image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T22:30:04.255547image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T22:30:04.747014image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T22:30:05.269518image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T22:30:05.886609image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T22:30:04.378490image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T22:30:04.870258image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T22:30:05.411543image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T22:30:06.028568image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T22:30:04.495018image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T22:30:05.000716image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T22:30:05.534829image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T22:30:08.955833image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
요일공항노선도착운항기수출발운항기수도착여객수출발여객수
요일1.0000.0000.0000.0000.0000.0000.000
공항0.0001.0000.6590.8260.8380.8550.571
노선0.0000.6591.0000.2220.2560.1590.122
도착운항기수0.0000.8260.2221.0000.9950.9500.964
출발운항기수0.0000.8380.2560.9951.0000.9090.954
도착여객수0.0000.8550.1590.9500.9091.0000.782
출발여객수0.0000.5710.1220.9640.9540.7821.000
2023-12-12T22:30:09.119303image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
공항요일노선
공항1.0000.0000.499
요일0.0001.0000.000
노선0.4990.0001.000
2023-12-12T22:30:09.257601image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
도착운항기수출발운항기수도착여객수출발여객수요일공항노선
도착운항기수1.0000.9940.9880.9810.0000.5760.157
출발운항기수0.9941.0000.9840.9840.0000.5960.181
도착여객수0.9880.9841.0000.9860.0000.4850.167
출발여객수0.9810.9840.9861.0000.0000.3700.203
요일0.0000.0000.0000.0001.0000.0000.000
공항0.5760.5960.4850.3700.0001.0000.499
노선0.1570.1810.1670.2030.0000.4991.000

Missing values

2023-12-12T22:30:06.180292image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T22:30:06.363352image/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

연도요일공항노선도착운항기수출발운항기수도착여객수출발여객수
02023일김포국내선50735087894262858292
12023월김포국내선50675046894701869604
22023화김포국내선46514648801643776326
32023수김포국내선48204845834006849095
42023목김포국내선48204815828183853187
52023금김포국내선48284809849485849266
62023토김포국내선491649518297968353512
72023일김포국제선709708130468129024
82023월김포국제선705706123240118843
92023화김포국제선645644103823100421
연도요일공항노선도착운항기수출발운항기수도착여객수출발여객수
1302023목군산국내선353550705517
1312023금군산국내선323251135754
1322023토군산국내선343458325384
1332023일무안국제선453479045538
1342023월무안국제선423570175697
1352023화무안국제선455176318051
1362023수무안국제선5662950010986
1372023목무안국제선423467785736
1382023금무안국제선394460147683
1392023토무안국제선70771155913366