Overview

Dataset statistics

Number of variables4
Number of observations10000
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory400.4 KiB
Average record size in memory41.0 B

Variable types

Categorical2
Text1
Numeric1

Dataset

Description한국공항공사(KAC)가 운영하는 김포공항, 김해공항, 제주공항 등 외곽지역 장애물제한구역 지적도 등에 대한 데이터를 제공합니다.
Author한국공항공사
URLhttps://www.data.go.kr/data/3049843/fileData.do

Alerts

공항구분 has constant value ""Constant
시군구코드 is highly overall correlated with 행정구역코드High correlation
행정구역코드 is highly overall correlated with 시군구코드High correlation

Reproduction

Analysis started2023-12-12 15:09:40.100540
Analysis finished2023-12-12 15:09:41.012054
Duration0.91 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

공항구분
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
김포국제공항
10000 

Length

Max length6
Median length6
Mean length6
Min length6

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
김포국제공항 10000
100.0%

Length

2023-12-13T00:09:41.078436image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T00:09:41.178712image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
김포국제공항 10000
100.0%

행정구역코드
Categorical

HIGH CORRELATION 

Distinct8
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
4,119,010,000,000,000,000
2761 
2,824,510,000,000,000,000
2500 
4,157,010,000,000,000,000
2142 
4,157,030,000,000,000,000
1887 
4,121,010,000,000,000,000
346 
Other values (3)
364 

Length

Max length25
Median length25
Mean length25
Min length25

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row4,157,010,000,000,000,000
2nd row4,157,010,000,000,000,000
3rd row2,824,510,000,000,000,000
4th row2,824,510,000,000,000,000
5th row2,824,510,000,000,000,000

Common Values

ValueCountFrequency (%)
4,119,010,000,000,000,000 2761
27.6%
2,824,510,000,000,000,000 2500
25.0%
4,157,010,000,000,000,000 2142
21.4%
4,157,030,000,000,000,000 1887
18.9%
4,121,010,000,000,000,000 346
 
3.5%
2,826,010,000,000,000,000 195
 
1.9%
4,128,110,000,000,000,000 124
 
1.2%
2,823,710,000,000,000,000 45
 
0.4%

Length

2023-12-13T00:09:41.297868image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T00:09:41.429512image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
4,119,010,000,000,000,000 2761
27.6%
2,824,510,000,000,000,000 2500
25.0%
4,157,010,000,000,000,000 2142
21.4%
4,157,030,000,000,000,000 1887
18.9%
4,121,010,000,000,000,000 346
 
3.5%
2,826,010,000,000,000,000 195
 
1.9%
4,128,110,000,000,000,000 124
 
1.2%
2,823,710,000,000,000,000 45
 
0.4%

지번
Text

Distinct9446
Distinct (%)94.5%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2023-12-13T00:09:41.876346image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length9
Median length8
Mean length5.956
Min length2

Characters and Unicode

Total characters59560
Distinct characters39
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique8944 ?
Unique (%)89.4%

Sample

1st row1328-13대
2nd row356-7답
3rd row229-11도
4th row122-13대
5th row산75임
ValueCountFrequency (%)
산35임 4
 
< 0.1%
166-1대 4
 
< 0.1%
42-1대 3
 
< 0.1%
산41임 3
 
< 0.1%
51-1답 3
 
< 0.1%
68-1답 3
 
< 0.1%
341-8대 3
 
< 0.1%
25-6대 3
 
< 0.1%
143전 3
 
< 0.1%
76-5답 3
 
< 0.1%
Other values (9436) 9968
99.7%
2023-12-13T00:09:42.507843image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 8850
14.9%
1 8049
13.5%
2 5924
9.9%
3 4839
8.1%
4 4060
 
6.8%
5 3587
 
6.0%
대 3390
 
5.7%
6 3190
 
5.4%
7 2856
 
4.8%
8 2794
 
4.7%
Other values (29) 12021
20.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 40453
67.9%
Other Letter 10257
 
17.2%
Dash Punctuation 8850
 
14.9%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
대 3390
33.1%
도 1737
16.9%
답 1617
15.8%
전 1284
 
12.5%
임 500
 
4.9%
구 493
 
4.8%
장 342
 
3.3%
산 257
 
2.5%
잡 162
 
1.6%
천 104
 
1.0%
Other values (18) 371
 
3.6%
Decimal Number
ValueCountFrequency (%)
1 8049
19.9%
2 5924
14.6%
3 4839
12.0%
4 4060
10.0%
5 3587
8.9%
6 3190
 
7.9%
7 2856
 
7.1%
8 2794
 
6.9%
9 2680
 
6.6%
0 2474
 
6.1%
Dash Punctuation
ValueCountFrequency (%)
- 8850
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 49303
82.8%
Hangul 10257
 
17.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
대 3390
33.1%
도 1737
16.9%
답 1617
15.8%
전 1284
 
12.5%
임 500
 
4.9%
구 493
 
4.8%
장 342
 
3.3%
산 257
 
2.5%
잡 162
 
1.6%
천 104
 
1.0%
Other values (18) 371
 
3.6%
Common
ValueCountFrequency (%)
- 8850
18.0%
1 8049
16.3%
2 5924
12.0%
3 4839
9.8%
4 4060
8.2%
5 3587
7.3%
6 3190
 
6.5%
7 2856
 
5.8%
8 2794
 
5.7%
9 2680
 
5.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 49303
82.8%
Hangul 10257
 
17.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 8850
18.0%
1 8049
16.3%
2 5924
12.0%
3 4839
9.8%
4 4060
8.2%
5 3587
7.3%
6 3190
 
6.5%
7 2856
 
5.8%
8 2794
 
5.7%
9 2680
 
5.4%
Hangul
ValueCountFrequency (%)
대 3390
33.1%
도 1737
16.9%
답 1617
15.8%
전 1284
 
12.5%
임 500
 
4.9%
구 493
 
4.8%
장 342
 
3.3%
산 257
 
2.5%
잡 162
 
1.6%
천 104
 
1.0%
Other values (18) 371
 
3.6%

시군구코드
Real number (ℝ)

HIGH CORRELATION 

Distinct9986
Distinct (%)99.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean456618.94
Minimum111344
Maximum1488147
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-13T00:09:42.730233image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum111344
5-th percentile124551.85
Q1308500
median405011
Q3670594.75
95-th percentile721409.05
Maximum1488147
Range1376803
Interquartile range (IQR)362094.75

Descriptive statistics

Standard deviation241409.97
Coefficient of variation (CV)0.52869022
Kurtosis0.20798641
Mean456618.94
Median Absolute Deviation (MAD)259073
Skewness0.47658225
Sum4.5661894 × 109
Variance5.8278773 × 1010
MonotonicityNot monotonic
2023-12-13T00:09:42.924508image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
396865 2
 
< 0.1%
395445 2
 
< 0.1%
386957 2
 
< 0.1%
395274 2
 
< 0.1%
673106 2
 
< 0.1%
143638 2
 
< 0.1%
394634 2
 
< 0.1%
711204 2
 
< 0.1%
395362 2
 
< 0.1%
710868 2
 
< 0.1%
Other values (9976) 9980
99.8%
ValueCountFrequency (%)
111344 1
< 0.1%
111381 1
< 0.1%
111523 1
< 0.1%
111625 1
< 0.1%
111713 1
< 0.1%
112045 1
< 0.1%
112089 1
< 0.1%
113155 1
< 0.1%
113161 1
< 0.1%
113179 1
< 0.1%
ValueCountFrequency (%)
1488147 1
< 0.1%
1444849 1
< 0.1%
1426984 1
< 0.1%
1424004 1
< 0.1%
1402691 1
< 0.1%
1402689 1
< 0.1%
1303345 1
< 0.1%
1279570 1
< 0.1%
1278370 1
< 0.1%
1276673 1
< 0.1%

Interactions

2023-12-13T00:09:40.747895image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-13T00:09:43.068504image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
행정구역코드시군구코드
행정구역코드1.0000.801
시군구코드0.8011.000
2023-12-13T00:09:43.175263image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
시군구코드행정구역코드
시군구코드1.0000.552
행정구역코드0.5521.000

Missing values

2023-12-13T00:09:40.875862image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T00:09:40.965226image/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

공항구분행정구역코드지번시군구코드
82566김포국제공항4,157,010,000,000,000,0001328-13대613775
63778김포국제공항4,157,010,000,000,000,000356-7답358503
21978김포국제공항2,824,510,000,000,000,000229-11도131312
7008김포국제공항2,824,510,000,000,000,000122-13대250818
14370김포국제공항2,824,510,000,000,000,000산75임135184
93579김포국제공항4,157,030,000,000,000,000354-6구365862
12358김포국제공항2,824,510,000,000,000,000287답132354
14533김포국제공항2,824,510,000,000,000,00060-4대122274
93481김포국제공항4,157,010,000,000,000,0001313-4대613884
24205김포국제공항2,824,510,000,000,000,000135-3도469829
공항구분행정구역코드지번시군구코드
86954김포국제공항4,157,030,000,000,000,000380-13대501182
84722김포국제공항4,157,010,000,000,000,000793-6대487852
16529김포국제공항2,824,510,000,000,000,00082-1전351426
36144김포국제공항4,119,010,000,000,000,0005-14전674970
52635김포국제공항4,121,010,000,000,000,0007-60대306606
3663김포국제공항2,824,510,000,000,000,00076-21대122627
79666김포국제공항4,157,010,000,000,000,000511-7전490149
89127김포국제공항4,157,030,000,000,000,000206-28도508763
88136김포국제공항4,157,030,000,000,000,000336-13대501395
47984김포국제공항4,119,010,000,000,000,00022-42구713996