Overview

Dataset statistics

Number of variables4
Number of observations96
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory3.3 KiB
Average record size in memory35.4 B

Variable types

Numeric2
Categorical2

Dataset

Description제주특별자치도 연도별인구추이
Author제주데이터허브
URLhttps://www.jejudatahub.net/data/view/data/549

Alerts

인구 is highly overall correlated with 내/외국인 구분High correlation
내/외국인 구분 is highly overall correlated with 인구High correlation
인구 has unique valuesUnique

Reproduction

Analysis started2024-04-19 05:35:32.888927
Analysis finished2024-04-19 05:35:33.486915
Duration0.6 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연도
Real number (ℝ)

Distinct24
Distinct (%)25.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2010.5
Minimum1999
Maximum2022
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size996.0 B
2024-04-19T14:35:33.545093image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1999
5-th percentile2000
Q12004.75
median2010.5
Q32016.25
95-th percentile2021
Maximum2022
Range23
Interquartile range (IQR)11.5

Descriptive statistics

Standard deviation6.9585237
Coefficient of variation (CV)0.0034610911
Kurtosis-1.2041252
Mean2010.5
Median Absolute Deviation (MAD)6
Skewness0
Sum193008
Variance48.421053
MonotonicityIncreasing
2024-04-19T14:35:33.679692image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=24)
ValueCountFrequency (%)
1999 4
 
4.2%
2012 4
 
4.2%
2022 4
 
4.2%
2021 4
 
4.2%
2020 4
 
4.2%
2019 4
 
4.2%
2018 4
 
4.2%
2017 4
 
4.2%
2016 4
 
4.2%
2015 4
 
4.2%
Other values (14) 56
58.3%
ValueCountFrequency (%)
1999 4
4.2%
2000 4
4.2%
2001 4
4.2%
2002 4
4.2%
2003 4
4.2%
2004 4
4.2%
2005 4
4.2%
2006 4
4.2%
2007 4
4.2%
2008 4
4.2%
ValueCountFrequency (%)
2022 4
4.2%
2021 4
4.2%
2020 4
4.2%
2019 4
4.2%
2018 4
4.2%
2017 4
4.2%
2016 4
4.2%
2015 4
4.2%
2014 4
4.2%
2013 4
4.2%

내/외국인 구분
Categorical

HIGH CORRELATION 

Distinct2
Distinct (%)2.1%
Missing0
Missing (%)0.0%
Memory size900.0 B
내국인
48 
외국인
48 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row내국인
2nd row내국인
3rd row외국인
4th row외국인
5th row내국인

Common Values

ValueCountFrequency (%)
내국인 48
50.0%
외국인 48
50.0%

Length

2024-04-19T14:35:33.791915image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-19T14:35:33.880242image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
내국인 48
50.0%
외국인 48
50.0%

성별
Categorical

Distinct2
Distinct (%)2.1%
Missing0
Missing (%)0.0%
Memory size900.0 B
남성
48 
여성
48 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row남성
2nd row여성
3rd row남성
4th row여성
5th row남성

Common Values

ValueCountFrequency (%)
남성 48
50.0%
여성 48
50.0%

Length

2024-04-19T14:35:33.989411image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-19T14:35:34.089924image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
남성 48
50.0%
여성 48
50.0%

인구
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct96
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean151625.41
Minimum364
Maximum339590
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size996.0 B
2024-04-19T14:35:34.195096image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum364
5-th percentile549.75
Q13243
median140691
Q3286255.75
95-th percentile337404.25
Maximum339590
Range339226
Interquartile range (IQR)283012.75

Descriptive statistics

Standard deviation148308.31
Coefficient of variation (CV)0.97812306
Kurtosis-1.9761763
Mean151625.41
Median Absolute Deviation (MAD)138921
Skewness0.042749577
Sum14556039
Variance2.1995354 × 1010
MonotonicityNot monotonic
2024-04-19T14:35:34.333814image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
266974 1
 
1.0%
288004 1
 
1.0%
8798 1
 
1.0%
10795 1
 
1.0%
319052 1
 
1.0%
322545 1
 
1.0%
7434 1
 
1.0%
9526 1
 
1.0%
310967 1
 
1.0%
313428 1
 
1.0%
Other values (86) 86
89.6%
ValueCountFrequency (%)
364 1
1.0%
385 1
1.0%
467 1
1.0%
488 1
1.0%
513 1
1.0%
562 1
1.0%
625 1
1.0%
708 1
1.0%
771 1
1.0%
776 1
1.0%
ValueCountFrequency (%)
339590 1
1.0%
339177 1
1.0%
338609 1
1.0%
338569 1
1.0%
337582 1
1.0%
337345 1
1.0%
336026 1
1.0%
335719 1
1.0%
333644 1
1.0%
331472 1
1.0%

Interactions

2024-04-19T14:35:33.159849image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-19T14:35:33.008508image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-19T14:35:33.258008image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-19T14:35:33.077417image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-04-19T14:35:34.436574image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연도내/외국인 구분성별인구
연도1.0000.0000.0000.562
내/외국인 구분0.0001.0000.0001.000
성별0.0000.0001.0000.000
인구0.5621.0000.0001.000
2024-04-19T14:35:34.533970image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
성별내/외국인 구분
성별1.0000.000
내/외국인 구분0.0001.000
2024-04-19T14:35:34.619056image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연도인구내/외국인 구분성별
연도1.0000.4910.0000.000
인구0.4911.0000.9890.000
내/외국인 구분0.0000.9891.0000.000
성별0.0000.0000.0001.000

Missing values

2024-04-19T14:35:33.372213image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-04-19T14:35:33.453001image/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

연도내/외국인 구분성별인구
01999내국인남성266974
11999내국인여성271406
21999외국인남성385
31999외국인여성364
42000내국인남성269126
52000내국인여성273242
62000외국인남성488
72000외국인여성467
82001내국인남성271394
92001내국인여성275495
연도내/외국인 구분성별인구
862020외국인남성12840
872020외국인여성10103
882021내국인남성339177
892021내국인여성337582
902021외국인남성11645
912021외국인여성9072
922022내국인남성339590
932022내국인여성338569
942022외국인남성12713
952022외국인여성8879