Overview

Dataset statistics

Number of variables8
Number of observations100
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory6.7 KiB
Average record size in memory68.3 B

Variable types

Categorical6
Numeric2

Alerts

행정동코드 has constant value ""Constant
시도명 has constant value ""Constant
시군구명 has constant value ""Constant
행정동명 has constant value ""Constant
성별 is highly overall correlated with 연령대High correlation
연령대 is highly overall correlated with 성별High correlation

Reproduction

Analysis started2023-12-10 13:15:38.197506
Analysis finished2023-12-10 13:15:40.175317
Duration1.98 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

행정동코드
Categorical

CONSTANT 

Distinct1
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
1111051500
100 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1111051500
2nd row1111051500
3rd row1111051500
4th row1111051500
5th row1111051500

Common Values

ValueCountFrequency (%)
1111051500 100
100.0%

Length

2023-12-10T22:15:40.352113image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T22:15:40.564573image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1111051500 100
100.0%

시도명
Categorical

CONSTANT 

Distinct1
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
서울특별시
100 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
서울특별시 100
100.0%

Length

2023-12-10T22:15:40.737920image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T22:15:40.890832image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
서울특별시 100
100.0%

시군구명
Categorical

CONSTANT 

Distinct1
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
종로구
100 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
종로구 100
100.0%

Length

2023-12-10T22:15:41.061625image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T22:15:41.202315image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
종로구 100
100.0%

행정동명
Categorical

CONSTANT 

Distinct1
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
청운효자동
100 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
청운효자동 100
100.0%

Length

2023-12-10T22:15:41.350027image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T22:15:41.546186image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
청운효자동 100
100.0%

기준일자
Real number (ℝ)

Distinct6
Distinct (%)6.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20200303
Minimum20200301
Maximum20200306
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T22:15:41.684025image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20200301
5-th percentile20200301
Q120200302
median20200303
Q320200305
95-th percentile20200306
Maximum20200306
Range5
Interquartile range (IQR)3

Descriptive statistics

Standard deviation1.4937919
Coefficient of variation (CV)7.3948981 × 10-8
Kurtosis-0.98806337
Mean20200303
Median Absolute Deviation (MAD)1
Skewness0.040614895
Sum2.0200303 × 109
Variance2.2314141
MonotonicityIncreasing
2023-12-10T22:15:41.894055image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
20200303 21
21.0%
20200304 21
21.0%
20200302 20
20.0%
20200305 18
18.0%
20200301 10
10.0%
20200306 10
10.0%
ValueCountFrequency (%)
20200301 10
10.0%
20200302 20
20.0%
20200303 21
21.0%
20200304 21
21.0%
20200305 18
18.0%
20200306 10
10.0%
ValueCountFrequency (%)
20200306 10
10.0%
20200305 18
18.0%
20200304 21
21.0%
20200303 21
21.0%
20200302 20
20.0%
20200301 10
10.0%

성별
Categorical

HIGH CORRELATION 

Distinct3
Distinct (%)3.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
M
48 
F
47 
X
5 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowF
2nd rowF
3rd rowM
4th rowM
5th rowM

Common Values

ValueCountFrequency (%)
M 48
48.0%
F 47
47.0%
X 5
 
5.0%

Length

2023-12-10T22:15:42.078707image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T22:15:42.225701image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
m 48
48.0%
f 47
47.0%
x 5
 
5.0%

연령대
Categorical

HIGH CORRELATION 

Distinct12
Distinct (%)12.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
30
11 
50
10 
25
10 
40
10 
45
10 
Other values (7)
49 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row30
2nd row50
3rd row20
4th row25
5th row30

Common Values

ValueCountFrequency (%)
30 11
11.0%
50 10
10.0%
25 10
10.0%
40 10
10.0%
45 10
10.0%
55 10
10.0%
20 9
9.0%
60 8
8.0%
35 6
6.0%
70 6
6.0%
Other values (2) 10
10.0%

Length

2023-12-10T22:15:42.416868image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
30 11
11.0%
50 10
10.0%
25 10
10.0%
40 10
10.0%
45 10
10.0%
55 10
10.0%
20 9
9.0%
60 8
8.0%
35 6
6.0%
70 6
6.0%
Other values (2) 10
10.0%

소비인구(명)
Real number (ℝ)

Distinct25
Distinct (%)25.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean85.654156
Minimum22.861429
Maximum342.92144
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T22:15:42.623752image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum22.861429
5-th percentile22.861429
Q138.102382
median60.963812
Q3100.97131
95-th percentile289.57811
Maximum342.92144
Range320.06001
Interquartile range (IQR)62.868931

Descriptive statistics

Standard deviation73.021744
Coefficient of variation (CV)0.85251841
Kurtosis4.0323488
Mean85.654156
Median Absolute Deviation (MAD)30.481906
Skewness2.0537341
Sum8565.4156
Variance5332.1752
MonotonicityNot monotonic
2023-12-10T22:15:42.839978image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%)
30.48190588 11
11.0%
22.86142941 10
 
10.0%
45.72285882 9
 
9.0%
38.10238235 8
 
8.0%
53.34333529 8
 
8.0%
60.96381176 7
 
7.0%
83.82524117 6
 
6.0%
99.06619411 5
 
5.0%
106.68667058 5
 
5.0%
68.58428823 5
 
5.0%
Other values (15) 26
26.0%
ValueCountFrequency (%)
22.86142941 10
10.0%
30.48190588 11
11.0%
38.10238235 8
8.0%
45.72285882 9
9.0%
53.34333529 8
8.0%
60.96381176 7
7.0%
68.58428823 5
5.0%
76.2047647 2
 
2.0%
83.82524117 6
6.0%
91.44571764 4
 
4.0%
ValueCountFrequency (%)
342.92144115 1
1.0%
335.30096468 1
1.0%
327.68048821 1
1.0%
297.19858233 1
1.0%
289.57810586 2
2.0%
251.47572351 1
1.0%
220.99381763 1
1.0%
182.89143528 2
2.0%
175.27095881 1
1.0%
152.4095294 2
2.0%

Interactions

2023-12-10T22:15:39.595312image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T22:15:39.221985image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T22:15:39.728046image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T22:15:39.450686image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-10T22:15:42.970464image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
기준일자성별연령대소비인구(명)
기준일자1.0000.0000.0000.000
성별0.0001.0000.9200.401
연령대0.0000.9201.0000.608
소비인구(명)0.0000.4010.6081.000
2023-12-10T22:15:43.114571image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
성별연령대
성별1.0000.653
연령대0.6531.000
2023-12-10T22:15:43.253781image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
기준일자소비인구(명)성별연령대
기준일자1.0000.0420.0580.000
소비인구(명)0.0421.0000.1850.304
성별0.0580.1851.0000.653
연령대0.0000.3040.6531.000

Missing values

2023-12-10T22:15:39.914071image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-10T22:15:40.101455image/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

행정동코드시도명시군구명행정동명기준일자성별연령대소비인구(명)
01111051500서울특별시종로구청운효자동20200301F3030.481906
11111051500서울특별시종로구청운효자동20200301F5022.861429
21111051500서울특별시종로구청운효자동20200301M2030.481906
31111051500서울특별시종로구청운효자동20200301M25152.409529
41111051500서울특별시종로구청운효자동20200301M30121.927624
51111051500서울특별시종로구청운효자동20200301M3530.481906
61111051500서울특별시종로구청운효자동20200301M4038.102382
71111051500서울특별시종로구청운효자동20200301M4522.861429
81111051500서울특별시종로구청운효자동20200301M5522.861429
91111051500서울특별시종로구청운효자동20200301Xxx38.102382
행정동코드시도명시군구명행정동명기준일자성별연령대소비인구(명)
901111051500서울특별시종로구청운효자동20200306F2522.861429
911111051500서울특별시종로구청운효자동20200306F3030.481906
921111051500서울특별시종로구청운효자동20200306F4053.343335
931111051500서울특별시종로구청운효자동20200306F45114.307147
941111051500서울특별시종로구청운효자동20200306F50106.686671
951111051500서울특별시종로구청운효자동20200306F5568.584288
961111051500서울특별시종로구청운효자동20200306F6053.343335
971111051500서울특별시종로구청운효자동20200306F6522.861429
981111051500서울특별시종로구청운효자동20200306F7045.722859
991111051500서울특별시종로구청운효자동20200306M2068.584288