Overview

Dataset statistics

Number of variables4
Number of observations28
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.0 KiB
Average record size in memory37.7 B

Variable types

Categorical3
Numeric1

Dataset

Description울산광역시 울주군의 외국인 국적별 현황에 대한 데이터로 국적, 구분, 인구수, 기준일자 등의 데이터를 제공합니다.
Author울산광역시 울주군
URLhttps://www.data.go.kr/data/15073583/fileData.do

Alerts

기준일자 has constant value ""Constant
인구수 has 3 (10.7%) zerosZeros

Reproduction

Analysis started2023-12-12 20:54:31.026923
Analysis finished2023-12-12 20:54:31.313979
Duration0.29 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

국적
Categorical

Distinct7
Distinct (%)25.0%
Missing0
Missing (%)0.0%
Memory size356.0 B
미국
4 
중국
4 
일본
4 
영국
4 
필리핀
4 
Other values (2)
8 

Length

Max length3
Median length2
Mean length2.2857143
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row미국
2nd row미국
3rd row미국
4th row미국
5th row중국

Common Values

ValueCountFrequency (%)
미국 4
14.3%
중국 4
14.3%
일본 4
14.3%
영국 4
14.3%
필리핀 4
14.3%
베트남 4
14.3%
기타 4
14.3%

Length

2023-12-13T05:54:31.375074image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T05:54:31.482260image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
미국 4
14.3%
중국 4
14.3%
일본 4
14.3%
영국 4
14.3%
필리핀 4
14.3%
베트남 4
14.3%
기타 4
14.3%

구분
Categorical

Distinct4
Distinct (%)14.3%
Missing0
Missing (%)0.0%
Memory size356.0 B
외국인근로자
7 
결혼이민자(국적취득자포함)
7 
유학생
7 
기타
7 

Length

Max length14
Median length4.5
Mean length6.25
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row외국인근로자
2nd row결혼이민자(국적취득자포함)
3rd row유학생
4th row기타
5th row외국인근로자

Common Values

ValueCountFrequency (%)
외국인근로자 7
25.0%
결혼이민자(국적취득자포함) 7
25.0%
유학생 7
25.0%
기타 7
25.0%

Length

2023-12-13T05:54:31.603831image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T05:54:31.701174image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
외국인근로자 7
25.0%
결혼이민자(국적취득자포함 7
25.0%
유학생 7
25.0%
기타 7
25.0%

인구수
Real number (ℝ)

ZEROS 

Distinct25
Distinct (%)89.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean253.67857
Minimum0
Maximum2150
Zeros3
Zeros (%)10.7%
Negative0
Negative (%)0.0%
Memory size384.0 B
2023-12-13T05:54:31.796611image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q15
median33.5
Q3399.75
95-th percentile937
Maximum2150
Range2150
Interquartile range (IQR)394.75

Descriptive statistics

Standard deviation461.91775
Coefficient of variation (CV)1.8208781
Kurtosis10.390619
Mean253.67857
Median Absolute Deviation (MAD)33
Skewness2.9584164
Sum7103
Variance213368
MonotonicityNot monotonic
2023-12-13T05:54:31.911199image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%)
0 3
 
10.7%
5 2
 
7.1%
12 1
 
3.6%
235 1
 
3.6%
651 1
 
3.6%
395 1
 
3.6%
421 1
 
3.6%
2150 1
 
3.6%
40 1
 
3.6%
43 1
 
3.6%
Other values (15) 15
53.6%
ValueCountFrequency (%)
0 3
10.7%
1 1
 
3.6%
2 1
 
3.6%
4 1
 
3.6%
5 2
7.1%
6 1
 
3.6%
7 1
 
3.6%
9 1
 
3.6%
12 1
 
3.6%
13 1
 
3.6%
ValueCountFrequency (%)
2150 1
3.6%
1091 1
3.6%
651 1
3.6%
634 1
3.6%
519 1
3.6%
421 1
3.6%
414 1
3.6%
395 1
3.6%
285 1
3.6%
235 1
3.6%

기준일자
Categorical

CONSTANT 

Distinct1
Distinct (%)3.6%
Missing0
Missing (%)0.0%
Memory size356.0 B
2023-09-30
28 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2023-09-30
2nd row2023-09-30
3rd row2023-09-30
4th row2023-09-30
5th row2023-09-30

Common Values

ValueCountFrequency (%)
2023-09-30 28
100.0%

Length

2023-12-13T05:54:32.024397image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T05:54:32.122007image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2023-09-30 28
100.0%

Interactions

2023-12-13T05:54:31.116567image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-13T05:54:32.180583image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
국적구분인구수
국적1.0000.0000.308
구분0.0001.0000.000
인구수0.3080.0001.000
2023-12-13T05:54:32.255823image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
구분국적
구분1.0000.000
국적0.0001.000
2023-12-13T05:54:32.326463image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
인구수국적구분
인구수1.0000.1570.000
국적0.1571.0000.000
구분0.0000.0001.000

Missing values

2023-12-13T05:54:31.204152image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T05:54:31.284146image/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

국적구분인구수기준일자
0미국외국인근로자122023-09-30
1미국결혼이민자(국적취득자포함)72023-09-30
2미국유학생02023-09-30
3미국기타92023-09-30
4중국외국인근로자6342023-09-30
5중국결혼이민자(국적취득자포함)2852023-09-30
6중국유학생272023-09-30
7중국기타10912023-09-30
8일본외국인근로자02023-09-30
9일본결혼이민자(국적취득자포함)602023-09-30
국적구분인구수기준일자
18필리핀유학생52023-09-30
19필리핀기타132023-09-30
20베트남외국인근로자4142023-09-30
21베트남결혼이민자(국적취득자포함)5192023-09-30
22베트남유학생432023-09-30
23베트남기타402023-09-30
24기타외국인근로자21502023-09-30
25기타결혼이민자(국적취득자포함)4212023-09-30
26기타유학생3952023-09-30
27기타기타6512023-09-30