Overview

Dataset statistics

Number of variables3
Number of observations150
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory3.9 KiB
Average record size in memory26.9 B

Variable types

Categorical2
Numeric1

Dataset

Description의료관광(C-3-3) 체류자격 외국인의 국적별 현황 자료입니다. 2019년부터 2023년까지의 국적별 현황입니다.
Author법무부
URLhttps://www.data.go.kr/data/15127003/fileData.do

Reproduction

Analysis started2024-04-13 11:08:02.390107
Analysis finished2024-04-13 11:08:04.765405
Duration2.38 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연도
Categorical

Distinct5
Distinct (%)3.3%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
2022
32 
2019
31 
2020
31 
2021
31 
2023
25 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2019
2nd row2019
3rd row2019
4th row2019
5th row2019

Common Values

ValueCountFrequency (%)
2022 32
21.3%
2019 31
20.7%
2020 31
20.7%
2021 31
20.7%
2023 25
16.7%

Length

2024-04-13T20:08:04.987437image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-13T20:08:05.341564image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2022 32
21.3%
2019 31
20.7%
2020 31
20.7%
2021 31
20.7%
2023 25
16.7%

국적
Categorical

Distinct49
Distinct (%)32.7%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
중국
 
5
스리랑카
 
5
캄보디아
 
5
몽골
 
5
네팔
 
5
Other values (44)
125 

Length

Max length8
Median length6
Mean length3.8933333
Min length2

Unique

Unique15 ?
Unique (%)10.0%

Sample

1st row중국
2nd row베트남
3rd row몽골
4th row필리핀
5th row우즈베키스탄

Common Values

ValueCountFrequency (%)
중국 5
 
3.3%
스리랑카 5
 
3.3%
캄보디아 5
 
3.3%
몽골 5
 
3.3%
네팔 5
 
3.3%
우즈베키스탄 5
 
3.3%
인도네시아 5
 
3.3%
타지키스탄 5
 
3.3%
나이지리아 5
 
3.3%
라오스 5
 
3.3%
Other values (39) 100
66.7%

Length

2024-04-13T20:08:05.753289image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
중국 5
 
3.3%
파키스탄 5
 
3.3%
마다가스카르 5
 
3.3%
베트남 5
 
3.3%
코소보 5
 
3.3%
카자흐스탄 5
 
3.3%
방글라데시 5
 
3.3%
스리랑카 5
 
3.3%
아랍에미리트연합 5
 
3.3%
키르기즈 5
 
3.3%
Other values (39) 100
66.7%

인원
Real number (ℝ)

Distinct50
Distinct (%)33.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean77.893333
Minimum1
Maximum1348
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 KiB
2024-04-13T20:08:06.164683image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median3
Q319
95-th percentile665.3
Maximum1348
Range1347
Interquartile range (IQR)18

Descriptive statistics

Standard deviation216.56932
Coefficient of variation (CV)2.7803319
Kurtosis13.486645
Mean77.893333
Median Absolute Deviation (MAD)2
Skewness3.6368809
Sum11684
Variance46902.27
MonotonicityNot monotonic
2024-04-13T20:08:06.576295image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 42
28.0%
2 29
19.3%
3 14
 
9.3%
4 5
 
3.3%
15 4
 
2.7%
5 4
 
2.7%
6 3
 
2.0%
57 2
 
1.3%
12 2
 
1.3%
10 2
 
1.3%
Other values (40) 43
28.7%
ValueCountFrequency (%)
1 42
28.0%
2 29
19.3%
3 14
 
9.3%
4 5
 
3.3%
5 4
 
2.7%
6 3
 
2.0%
7 1
 
0.7%
8 1
 
0.7%
9 1
 
0.7%
10 2
 
1.3%
ValueCountFrequency (%)
1348 1
0.7%
962 1
0.7%
919 1
0.7%
904 1
0.7%
842 1
0.7%
743 1
0.7%
716 1
0.7%
686 1
0.7%
640 1
0.7%
618 1
0.7%

Interactions

2024-04-13T20:08:04.039499image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-04-13T20:08:06.847442image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연도국적인원
연도1.0000.0000.000
국적0.0001.0000.819
인원0.0000.8191.000
2024-04-13T20:08:07.087559image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연도국적
연도1.0000.000
국적0.0001.000
2024-04-13T20:08:07.273282image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
인원연도국적
인원1.0000.0000.394
연도0.0001.0000.000
국적0.3940.0001.000

Missing values

2024-04-13T20:08:04.401212image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-04-13T20:08:04.654268image/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

연도국적인원
02019중국1348
12019베트남257
22019몽골743
32019필리핀2
42019우즈베키스탄202
52019인도네시아2
62019인도3
72019캄보디아16
82019미얀마2
92019네팔15
연도국적인원
1402023아랍에미리트연합1
1412023키르기즈70
1422023방글라데시11
1432023카자흐스탄51
1442023이라크1
1452023쿠웨이트2
1462023러시아(연방)20
1472023코소보1
1482023나이지리아1
1492023마다가스카르3