Overview

Dataset statistics

Number of variables4
Number of observations30
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.1 KiB
Average record size in memory38.4 B

Variable types

Categorical3
Numeric1

Dataset

Description경상남도 창원시의 월별, 구별 유동인구수입니다. 항목은 기준년월, 소지역블럭코드, 구, 유동인구수 입니다.
Author경상남도 창원시
URLhttps://bigdata.gyeongnam.go.kr/index.gn?menuCd=DOM_000000114002001000&publicdatapk=15091829

Alerts

구단위코드 is highly overall correlated with 유동인구수 and 1 other fieldsHigh correlation
구 is highly overall correlated with 유동인구수 and 1 other fieldsHigh correlation
유동인구수 is highly overall correlated with 구단위코드 and 1 other fieldsHigh correlation
유동인구수 has unique valuesUnique

Reproduction

Analysis started2023-12-11 00:55:32.400587
Analysis finished2023-12-11 00:55:32.767060
Duration0.37 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

기준년월
Categorical

Distinct6
Distinct (%)20.0%
Missing0
Missing (%)0.0%
Memory size372.0 B
2021-01-21
5 
2021-02-21
5 
2021-03-21
5 
2021-04-21
5 
2021-05-21
5 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2021-01-21
2nd row2021-01-21
3rd row2021-01-21
4th row2021-01-21
5th row2021-01-21

Common Values

ValueCountFrequency (%)
2021-01-21 5
16.7%
2021-02-21 5
16.7%
2021-03-21 5
16.7%
2021-04-21 5
16.7%
2021-05-21 5
16.7%
2021-06-21 5
16.7%

Length

2023-12-11T09:55:32.845171image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T09:55:32.970674image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2021-01-21 5
16.7%
2021-02-21 5
16.7%
2021-03-21 5
16.7%
2021-04-21 5
16.7%
2021-05-21 5
16.7%
2021-06-21 5
16.7%

구단위코드
Categorical

HIGH CORRELATION 

Distinct5
Distinct (%)16.7%
Missing0
Missing (%)0.0%
Memory size372.0 B
48121
6 
48123
6 
48125
6 
48127
6 
48129
6 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row48121
2nd row48123
3rd row48125
4th row48127
5th row48129

Common Values

ValueCountFrequency (%)
48121 6
20.0%
48123 6
20.0%
48125 6
20.0%
48127 6
20.0%
48129 6
20.0%

Length

2023-12-11T09:55:33.091146image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T09:55:33.186135image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
48121 6
20.0%
48123 6
20.0%
48125 6
20.0%
48127 6
20.0%
48129 6
20.0%

구
Categorical

HIGH CORRELATION 

Distinct5
Distinct (%)16.7%
Missing0
Missing (%)0.0%
Memory size372.0 B
의창구
6 
성산구
6 
마산합포구
6 
마산회원구
6 
진해구
6 

Length

Max length5
Median length3
Mean length3.8
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row의창구
2nd row성산구
3rd row마산합포구
4th row마산회원구
5th row진해구

Common Values

ValueCountFrequency (%)
의창구 6
20.0%
성산구 6
20.0%
마산합포구 6
20.0%
마산회원구 6
20.0%
진해구 6
20.0%

Length

2023-12-11T09:55:33.316863image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T09:55:33.429309image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
의창구 6
20.0%
성산구 6
20.0%
마산합포구 6
20.0%
마산회원구 6
20.0%
진해구 6
20.0%

유동인구수
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct30
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean16670133
Minimum12477835
Maximum21839782
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-11T09:55:33.543755image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum12477835
5-th percentile13235221
Q114252595
median15745771
Q319738408
95-th percentile21223012
Maximum21839782
Range9361947
Interquartile range (IQR)5485813.5

Descriptive statistics

Standard deviation2972370.3
Coefficient of variation (CV)0.17830513
Kurtosis-1.4334437
Mean16670133
Median Absolute Deviation (MAD)2025628.5
Skewness0.39052252
Sum5.00104 × 108
Variance8.8349852 × 1012
MonotonicityNot monotonic
2023-12-11T09:55:33.697676image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%)
18571781 1
 
3.3%
21220588 1
 
3.3%
13580509 1
 
3.3%
13983139 1
 
3.3%
15301613 1
 
3.3%
20122741 1
 
3.3%
19467884 1
 
3.3%
14340209 1
 
3.3%
14506013 1
 
3.3%
16059903 1
 
3.3%
Other values (20) 20
66.7%
ValueCountFrequency (%)
12477835 1
3.3%
12961831 1
3.3%
13569365 1
3.3%
13580509 1
3.3%
13859776 1
3.3%
13967070 1
3.3%
13983139 1
3.3%
14223390 1
3.3%
14340209 1
3.3%
14490916 1
3.3%
ValueCountFrequency (%)
21839782 1
3.3%
21224995 1
3.3%
21220588 1
3.3%
20723158 1
3.3%
20221375 1
3.3%
20122741 1
3.3%
20096378 1
3.3%
19828583 1
3.3%
19467884 1
3.3%
19152864 1
3.3%

Interactions

2023-12-11T09:55:32.528569image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-11T09:55:33.791525image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
기준년월구단위코드구유동인구수
기준년월1.0000.0000.0000.000
구단위코드0.0001.0001.0000.928
구0.0001.0001.0000.928
유동인구수0.0000.9280.9281.000
2023-12-11T09:55:33.889147image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
구단위코드기준년월구
구단위코드1.0000.0001.000
기준년월0.0001.0000.000
구1.0000.0001.000
2023-12-11T09:55:33.971888image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
유동인구수기준년월구단위코드구
유동인구수1.0000.0000.5510.551
기준년월0.0001.0000.0000.000
구단위코드0.5510.0001.0001.000
구0.5510.0001.0001.000

Missing values

2023-12-11T09:55:32.631525image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-11T09:55:32.729224image/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

기준년월구단위코드구유동인구수
02021-01-2148121의창구18571781
12021-01-2148123성산구20723158
22021-01-2148125마산합포구15710949
32021-01-2148127마산회원구13859776
42021-01-2148129진해구13569365
52021-02-2148121의창구17401008
62021-02-2148123성산구19152864
72021-02-2148125마산합포구14498988
82021-02-2148127마산회원구12961831
92021-02-2148129진해구12477835
기준년월구단위코드구유동인구수
202021-05-2148121의창구20221375
212021-05-2148123성산구21224995
222021-05-2148125마산합포구16059903
232021-05-2148127마산회원구14506013
242021-05-2148129진해구14340209
252021-06-2148121의창구19467884
262021-06-2148123성산구20122741
272021-06-2148125마산합포구15301613
282021-06-2148127마산회원구13983139
292021-06-2148129진해구13580509