Overview

Dataset statistics

Number of variables5
Number of observations432
Missing cells0
Missing cells (%)0.0%
Duplicate rows1
Duplicate rows (%)0.2%
Total size in memory17.4 KiB
Average record size in memory41.3 B

Variable types

Categorical4
Numeric1

Dataset

Description부산광역시해운대구_인구현황_20180531
Author부산광역시 해운대구
URLhttp://data.busan.go.kr/dataSet/detail.nm?contentId=10&publicdatapk=3039794

Alerts

행정기관명 has constant value ""Constant
Dataset has 1 (0.2%) duplicate rowsDuplicates
인구수 has 30 (6.9%) zerosZeros

Reproduction

Analysis started2024-04-21 12:05:09.630454
Analysis finished2024-04-21 12:05:10.713727
Duration1.08 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

행정기관명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size3.5 KiB
부산광역시 해운대구
432 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row부산광역시 해운대구
2nd row부산광역시 해운대구
3rd row부산광역시 해운대구
4th row부산광역시 해운대구
5th row부산광역시 해운대구

Common Values

ValueCountFrequency (%)
부산광역시 해운대구 432
100.0%

Length

2024-04-21T21:05:10.916845image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T21:05:11.222814image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
부산광역시 432
50.0%
해운대구 432
50.0%

동명
Categorical

Distinct18
Distinct (%)4.2%
Missing0
Missing (%)0.0%
Memory size3.5 KiB
반여제3동
 
26
우제1동
 
24
재송제2동
 
24
우제3동
 
24
중제1동
 
24
Other values (13)
310 

Length

Max length5
Median length4.5
Mean length4.3888889
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row우제1동
2nd row우제1동
3rd row우제1동
4th row우제1동
5th row우제1동

Common Values

ValueCountFrequency (%)
반여제3동 26
 
6.0%
우제1동 24
 
5.6%
재송제2동 24
 
5.6%
우제3동 24
 
5.6%
중제1동 24
 
5.6%
중제2동 24
 
5.6%
좌제1동 24
 
5.6%
좌제2동 24
 
5.6%
좌제3동 24
 
5.6%
좌제4동 24
 
5.6%
Other values (8) 190
44.0%

Length

2024-04-21T21:05:11.586516image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
반여제3동 26
 
6.0%
우제1동 24
 
5.6%
우제2동 24
 
5.6%
재송제1동 24
 
5.6%
반송제2동 24
 
5.6%
반송제1동 24
 
5.6%
반여제4동 24
 
5.6%
반여제1동 24
 
5.6%
송정동 24
 
5.6%
좌제4동 24
 
5.6%
Other values (8) 190
44.0%

연령
Categorical

Distinct12
Distinct (%)2.8%
Missing0
Missing (%)0.0%
Memory size3.5 KiB
0세 - 9세
36 
10세 - 19세
36 
20세 - 29세
36 
30세 - 39세
36 
40세 - 49세
36 
Other values (7)
252 

Length

Max length11
Median length9
Mean length8.8333333
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0세 - 9세
2nd row0세 - 9세
3rd row10세 - 19세
4th row10세 - 19세
5th row20세 - 29세

Common Values

ValueCountFrequency (%)
0세 - 9세 36
8.3%
10세 - 19세 36
8.3%
20세 - 29세 36
8.3%
30세 - 39세 36
8.3%
40세 - 49세 36
8.3%
50세 - 59세 36
8.3%
60세 - 69세 36
8.3%
70세 - 79세 36
8.3%
80세 - 89세 36
8.3%
90세 - 99세 36
8.3%
Other values (2) 72
16.7%

Length

2024-04-21T21:05:12.020215image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
396
31.4%
0세 36
 
2.9%
60세 36
 
2.9%
110세 36
 
2.9%
109세 36
 
2.9%
100세 36
 
2.9%
99세 36
 
2.9%
90세 36
 
2.9%
89세 36
 
2.9%
80세 36
 
2.9%
Other values (15) 540
42.9%

성별구분
Categorical

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size3.5 KiB
남
216 
여
216 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row남
2nd row여
3rd row남
4th row여
5th row남

Common Values

ValueCountFrequency (%)
남 216
50.0%
여 216
50.0%

Length

2024-04-21T21:05:12.417672image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T21:05:12.726878image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
남 216
50.0%
여 216
50.0%

인구수
Real number (ℝ)

ZEROS 

Distinct336
Distinct (%)77.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean952.47917
Minimum0
Maximum3919
Zeros30
Zeros (%)6.9%
Negative0
Negative (%)0.0%
Memory size3.9 KiB
2024-04-21T21:05:13.077881image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q1107
median836.5
Q31494.75
95-th percentile2589.35
Maximum3919
Range3919
Interquartile range (IQR)1387.75

Descriptive statistics

Standard deviation860.21412
Coefficient of variation (CV)0.90313169
Kurtosis0.033138799
Mean952.47917
Median Absolute Deviation (MAD)700.5
Skewness0.78365083
Sum411471
Variance739968.34
MonotonicityNot monotonic
2024-04-21T21:05:13.730727image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 30
 
6.9%
1 17
 
3.9%
3 7
 
1.6%
2 6
 
1.4%
5 5
 
1.2%
7 3
 
0.7%
11 3
 
0.7%
633 3
 
0.7%
2198 3
 
0.7%
2119 2
 
0.5%
Other values (326) 353
81.7%
ValueCountFrequency (%)
0 30
6.9%
1 17
3.9%
2 6
 
1.4%
3 7
 
1.6%
4 2
 
0.5%
5 5
 
1.2%
6 1
 
0.2%
7 3
 
0.7%
9 2
 
0.5%
10 1
 
0.2%
ValueCountFrequency (%)
3919 1
0.2%
3784 1
0.2%
3661 1
0.2%
3374 1
0.2%
3261 1
0.2%
3258 1
0.2%
3157 1
0.2%
3084 1
0.2%
3072 1
0.2%
3013 1
0.2%

Interactions

2024-04-21T21:05:09.919182image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-04-21T21:05:14.004799image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
동명연령성별구분인구수
동명1.0000.0000.0000.438
연령0.0001.0000.0000.664
성별구분0.0000.0001.0000.075
인구수0.4380.6640.0751.000
2024-04-21T21:05:14.254773image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연령성별구분동명
연령1.0000.0000.000
성별구분0.0001.0000.000
동명0.0000.0001.000
2024-04-21T21:05:14.502428image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
인구수동명연령성별구분
인구수1.0000.1810.3530.057
동명0.1811.0000.0000.000
연령0.3530.0001.0000.000
성별구분0.0570.0000.0001.000

Missing values

2024-04-21T21:05:10.280127image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-04-21T21:05:10.591871image/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

행정기관명동명연령성별구분인구수
0부산광역시 해운대구우제1동0세 - 9세남674
1부산광역시 해운대구우제1동0세 - 9세여633
2부산광역시 해운대구우제1동10세 - 19세남841
3부산광역시 해운대구우제1동10세 - 19세여834
4부산광역시 해운대구우제1동20세 - 29세남1531
5부산광역시 해운대구우제1동20세 - 29세여1381
6부산광역시 해운대구우제1동30세 - 39세남1406
7부산광역시 해운대구우제1동30세 - 39세여1481
8부산광역시 해운대구우제1동40세 - 49세남1666
9부산광역시 해운대구우제1동40세 - 49세여1691
행정기관명동명연령성별구분인구수
422부산광역시 해운대구재송제2동70세 - 79세남766
423부산광역시 해운대구재송제2동70세 - 79세여935
424부산광역시 해운대구재송제2동80세 - 89세남182
425부산광역시 해운대구재송제2동80세 - 89세여446
426부산광역시 해운대구재송제2동90세 - 99세남12
427부산광역시 해운대구재송제2동90세 - 99세여60
428부산광역시 해운대구재송제2동100세 - 109세남1
429부산광역시 해운대구재송제2동100세 - 109세여2
430부산광역시 해운대구재송제2동110세 이상남0
431부산광역시 해운대구재송제2동110세 이상여3

Duplicate rows

Most frequently occurring

행정기관명동명연령성별구분인구수# duplicates
0부산광역시 해운대구반여제3동110세 이상여32