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

Description해운대구인구현황_20200531
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 29 (6.7%) zerosZeros

Reproduction

Analysis started2024-04-21 12:05:20.786525
Analysis finished2024-04-21 12:05:21.860589
Duration1.07 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

2024-04-21T21:05:22.056165image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T21:05:22.362987image/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

2024-04-21T21:05:22.725152image/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

2024-04-21T21:05:23.161164image/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

2024-04-21T21:05:23.552397image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T21:05:23.863927image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
남 216
50.0%
여 216
50.0%

인구수
Real number (ℝ)

ZEROS 

Distinct338
Distinct (%)78.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean936.24769
Minimum0
Maximum4032
Zeros29
Zeros (%)6.7%
Negative0
Negative (%)0.0%
Memory size3.9 KiB
2024-04-21T21:05:24.213766image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q1125.25
median828.5
Q31494
95-th percentile2451.25
Maximum4032
Range4032
Interquartile range (IQR)1368.75

Descriptive statistics

Standard deviation839.22232
Coefficient of variation (CV)0.89636785
Kurtosis0.012927754
Mean936.24769
Median Absolute Deviation (MAD)686.5
Skewness0.77036126
Sum404459
Variance704294.11
MonotonicityNot monotonic
2024-04-21T21:05:24.667083image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 29
 
6.7%
1 14
 
3.2%
3 7
 
1.6%
4 6
 
1.4%
2 5
 
1.2%
9 4
 
0.9%
12 3
 
0.7%
2265 3
 
0.7%
76 3
 
0.7%
5 3
 
0.7%
Other values (328) 355
82.2%
ValueCountFrequency (%)
0 29
6.7%
1 14
3.2%
2 5
 
1.2%
3 7
 
1.6%
4 6
 
1.4%
5 3
 
0.7%
7 2
 
0.5%
8 2
 
0.5%
9 4
 
0.9%
10 1
 
0.2%
ValueCountFrequency (%)
4032 1
0.2%
3718 1
0.2%
3428 1
0.2%
3180 1
0.2%
3174 1
0.2%
3155 1
0.2%
3031 1
0.2%
2911 1
0.2%
2889 1
0.2%
2820 1
0.2%

Interactions

2024-04-21T21:05:21.075465image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-04-21T21:05:24.941731image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
동명연령성별구분인구수
동명1.0000.0000.0000.403
연령0.0001.0000.0000.661
성별구분0.0000.0001.0000.000
인구수0.4030.6610.0001.000
2024-04-21T21:05:25.194382image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연령성별구분동명
연령1.0000.0000.000
성별구분0.0001.0000.000
동명0.0000.0001.000
2024-04-21T21:05:25.649663image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
인구수동명연령성별구분
인구수1.0000.1640.3500.000
동명0.1641.0000.0000.000
연령0.3500.0001.0000.000
성별구분0.0000.0000.0001.000

Missing values

2024-04-21T21:05:21.428864image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-04-21T21:05:21.738353image/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 - 9세남681
1부산광역시 해운대구우제1동0세 - 9세여690
2부산광역시 해운대구우제1동10세 - 19세남836
3부산광역시 해운대구우제1동10세 - 19세여808
4부산광역시 해운대구우제1동20세 - 29세남1572
5부산광역시 해운대구우제1동20세 - 29세여1557
6부산광역시 해운대구우제1동30세 - 39세남1520
7부산광역시 해운대구우제1동30세 - 39세여1553
8부산광역시 해운대구우제1동40세 - 49세남1722
9부산광역시 해운대구우제1동40세 - 49세여1854
행정기관명동명연령성별구분인구수
422부산광역시 해운대구재송제2동70세 - 79세남908
423부산광역시 해운대구재송제2동70세 - 79세여1062
424부산광역시 해운대구재송제2동80세 - 89세남224
425부산광역시 해운대구재송제2동80세 - 89세여483
426부산광역시 해운대구재송제2동90세 - 99세남10
427부산광역시 해운대구재송제2동90세 - 99세여76
428부산광역시 해운대구재송제2동100세 - 109세남1
429부산광역시 해운대구재송제2동100세 - 109세여2
430부산광역시 해운대구재송제2동110세 이상남0
431부산광역시 해운대구재송제2동110세 이상여4

Duplicate rows

Most frequently occurring

행정기관명동명연령성별구분인구수# duplicates
0부산광역시 해운대구반여제3동110세 이상여42