Overview

Dataset statistics

Number of variables4
Number of observations568
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory19.5 KiB
Average record size in memory35.2 B

Variable types

Categorical2
Numeric2

Dataset

Description월별 전자여행허가(K-ETA)를 신청하는 외국인의 국내 방문예정 지역별 현황을 제공(*세종특별자치시는 충청남도에 포함)
Author법무부
URLhttps://www.data.go.kr/data/15100000/fileData.do

Reproduction

Analysis started2024-04-29 22:58:03.077367
Analysis finished2024-04-29 22:58:04.901732
Duration1.82 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

년
Categorical

Distinct4
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size4.6 KiB
2023
197 
2022
192 
2021
128 
2024
51 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2021
2nd row2021
3rd row2021
4th row2021
5th row2021

Common Values

ValueCountFrequency (%)
2023 197
34.7%
2022 192
33.8%
2021 128
22.5%
2024 51
 
9.0%

Length

2024-04-30T07:58:04.970646image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T07:58:05.064743image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2023 197
34.7%
2022 192
33.8%
2021 128
22.5%
2024 51
 
9.0%

월
Real number (ℝ)

Distinct12
Distinct (%)2.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.5774648
Minimum1
Maximum12
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size5.1 KiB
2024-04-30T07:58:05.159082image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q13
median7
Q310
95-th percentile12
Maximum12
Range11
Interquartile range (IQR)7

Descriptive statistics

Standard deviation3.4870867
Coefficient of variation (CV)0.53015665
Kurtosis-1.2270663
Mean6.5774648
Median Absolute Deviation (MAD)3
Skewness-0.055662518
Sum3736
Variance12.159773
MonotonicityNot monotonic
2024-04-30T07:58:05.261740image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
8 49
8.6%
9 49
8.6%
10 49
8.6%
11 49
8.6%
12 49
8.6%
1 49
8.6%
2 49
8.6%
3 49
8.6%
5 48
8.5%
6 48
8.5%
Other values (2) 80
14.1%
ValueCountFrequency (%)
1 49
8.6%
2 49
8.6%
3 49
8.6%
4 32
5.6%
5 48
8.5%
6 48
8.5%
7 48
8.5%
8 49
8.6%
9 49
8.6%
10 49
8.6%
ValueCountFrequency (%)
12 49
8.6%
11 49
8.6%
10 49
8.6%
9 49
8.6%
8 49
8.6%
7 48
8.5%
6 48
8.5%
5 48
8.5%
4 32
5.6%
3 49
8.6%

방문예정 지역
Categorical

Distinct17
Distinct (%)3.0%
Missing0
Missing (%)0.0%
Memory size4.6 KiB
서울특별시
 
35
경기도
 
35
인천광역시
 
35
부산광역시
 
35
경상남도
 
35
Other values (12)
393 

Length

Max length7
Median length5
Mean length4.5352113
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row서울특별시
2nd row경기도
3rd row인천광역시
4th row부산광역시
5th row경상남도

Common Values

ValueCountFrequency (%)
서울특별시 35
 
6.2%
경기도 35
 
6.2%
인천광역시 35
 
6.2%
부산광역시 35
 
6.2%
경상남도 35
 
6.2%
강원도 35
 
6.2%
대구광역시 35
 
6.2%
경상북도 35
 
6.2%
전라북도 35
 
6.2%
충청남도 35
 
6.2%
Other values (7) 218
38.4%

Length

2024-04-30T07:58:05.376363image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
서울특별시 35
 
6.2%
충청남도 35
 
6.2%
광주광역시 35
 
6.2%
제주특별자치도 35
 
6.2%
전라남도 35
 
6.2%
대전광역시 35
 
6.2%
충청북도 35
 
6.2%
울산광역시 35
 
6.2%
전라북도 35
 
6.2%
경기도 35
 
6.2%
Other values (7) 218
38.4%

신청자
Real number (ℝ)

Distinct505
Distinct (%)88.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8022.2447
Minimum20
Maximum369016
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size5.1 KiB
2024-04-30T07:58:05.503576image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20
5-th percentile53.35
Q1253.5
median770
Q32487
95-th percentile22868.05
Maximum369016
Range368996
Interquartile range (IQR)2233.5

Descriptive statistics

Standard deviation31514.405
Coefficient of variation (CV)3.9283774
Kurtosis55.931068
Mean8022.2447
Median Absolute Deviation (MAD)631
Skewness6.9142655
Sum4556635
Variance9.9315773 × 108
MonotonicityNot monotonic
2024-04-30T07:58:05.627598image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
152 3
 
0.5%
346 3
 
0.5%
176 3
 
0.5%
41 3
 
0.5%
301 3
 
0.5%
265 3
 
0.5%
1059 2
 
0.4%
285 2
 
0.4%
626 2
 
0.4%
234 2
 
0.4%
Other values (495) 542
95.4%
ValueCountFrequency (%)
20 1
0.2%
23 1
0.2%
25 1
0.2%
26 1
0.2%
27 1
0.2%
29 1
0.2%
30 1
0.2%
32 2
0.4%
33 1
0.2%
34 1
0.2%
ValueCountFrequency (%)
369016 1
0.2%
260205 1
0.2%
240785 1
0.2%
232145 1
0.2%
223822 1
0.2%
218348 1
0.2%
178151 1
0.2%
139757 1
0.2%
129542 1
0.2%
127113 1
0.2%

Interactions

2024-04-30T07:58:04.546453image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T07:58:04.191236image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T07:58:04.637242image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T07:58:04.319970image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-04-30T07:58:05.710208image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
년월방문예정 지역신청자
년1.0000.5110.0000.152
월0.5111.0000.0000.000
방문예정 지역0.0000.0001.0000.515
신청자0.1520.0000.5151.000
2024-04-30T07:58:05.797710image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
년방문예정 지역
년1.0000.000
방문예정 지역0.0001.000
2024-04-30T07:58:05.881186image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
월신청자년방문예정 지역
월1.0000.0040.3290.000
신청자0.0041.0000.0970.232
년0.3290.0971.0000.000
방문예정 지역0.0000.2320.0001.000

Missing values

2024-04-30T07:58:04.758263image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-04-30T07:58:04.857229image/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

년월방문예정 지역신청자
020215서울특별시1802
120215경기도1215
220215인천광역시177
320215부산광역시133
420215경상남도84
520215강원도75
620215대구광역시95
720215경상북도91
820215전라북도74
920215충청남도95
년월방문예정 지역신청자
55820243경상남도603
55920243전라북도268
56020243충청남도399
56120243경상북도493
56220243대전광역시265
56320243충청북도392
56420243울산광역시265
56520243전라남도348
56620243광주광역시183
56720243세종특별자치시55