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

Categorical7
Numeric1

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 10:43:26.083660
Analysis finished2023-12-10 10:43:27.002981
Duration0.92 seconds
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

2023-12-10T19:43:27.112524image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T19:43:27.272411image/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

2023-12-10T19:43:27.443033image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T19:43:27.615364image/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

2023-12-10T19:43:27.871419image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T19:43:28.040094image/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

2023-12-10T19:43:28.215464image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T19:43:28.449913image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
청운효자동 100
100.0%

기준일자
Categorical

Distinct5
Distinct (%)5.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
20200302
21 
20200303
20 
20200304
20 
20200305
20 
20200301
19 

Length

Max length8
Median length8
Mean length8
Min length8

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row20200301
2nd row20200301
3rd row20200301
4th row20200301
5th row20200301

Common Values

ValueCountFrequency (%)
20200302 21
21.0%
20200303 20
20.0%
20200304 20
20.0%
20200305 20
20.0%
20200301 19
19.0%

Length

2023-12-10T19:43:28.617445image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T19:43:28.804019image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
20200302 21
21.0%
20200303 20
20.0%
20200304 20
20.0%
20200305 20
20.0%
20200301 19
19.0%

성별
Categorical

HIGH CORRELATION 

Distinct3
Distinct (%)3.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
M
49 
F
47 
X
 
4

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
M 49
49.0%
F 47
47.0%
X 4
 
4.0%

Length

2023-12-10T19:43:28.995917image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T19:43:29.166192image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
m 49
49.0%
f 47
47.0%
x 4
 
4.0%

연령대
Categorical

HIGH CORRELATION 

Distinct12
Distinct (%)12.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
20
10 
25
10 
30
10 
35
10 
40
10 
Other values (7)
50 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique1 ?
Unique (%)1.0%

Sample

1st row20
2nd row25
3rd row30
4th row35
5th row40

Common Values

ValueCountFrequency (%)
20 10
10.0%
25 10
10.0%
30 10
10.0%
35 10
10.0%
40 10
10.0%
45 10
10.0%
50 10
10.0%
55 10
10.0%
15 8
8.0%
60 7
7.0%
Other values (2) 5
5.0%

Length

2023-12-10T19:43:29.371831image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
20 10
10.0%
25 10
10.0%
30 10
10.0%
35 10
10.0%
40 10
10.0%
45 10
10.0%
50 10
10.0%
55 10
10.0%
15 8
8.0%
60 7
7.0%
Other values (2) 5
5.0%

소비인구(명)
Real number (ℝ)

Distinct36
Distinct (%)36.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean128.63364
Minimum22.861429
Maximum365.78287
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T19:43:29.645489image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum22.861429
5-th percentile30.481906
Q160.963812
median102.87643
Q3192.41703
95-th percentile320.82206
Maximum365.78287
Range342.92144
Interquartile range (IQR)131.45322

Descriptive statistics

Standard deviation91.5629
Coefficient of variation (CV)0.71181145
Kurtosis0.012846416
Mean128.63364
Median Absolute Deviation (MAD)49.533097
Skewness1.0158031
Sum12863.364
Variance8383.7647
MonotonicityNot monotonic
2023-12-10T19:43:29.874636image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=36)
ValueCountFrequency (%)
60.96381176 7
 
7.0%
68.58428823 6
 
6.0%
38.10238235 6
 
6.0%
106.68667058 6
 
6.0%
45.72285882 6
 
6.0%
114.30714705 5
 
5.0%
76.2047647 5
 
5.0%
22.86142941 4
 
4.0%
53.34333529 4
 
4.0%
99.06619411 4
 
4.0%
Other values (26) 47
47.0%
ValueCountFrequency (%)
22.86142941 4
4.0%
30.48190588 3
3.0%
38.10238235 6
6.0%
45.72285882 6
6.0%
53.34333529 4
4.0%
60.96381176 7
7.0%
68.58428823 6
6.0%
76.2047647 5
5.0%
83.82524117 3
3.0%
91.44571764 2
 
2.0%
ValueCountFrequency (%)
365.78287056 1
 
1.0%
358.16239409 1
 
1.0%
342.92144115 2
2.0%
335.30096468 1
 
1.0%
320.06001174 1
 
1.0%
304.8190588 1
 
1.0%
289.57810586 2
2.0%
281.95762939 2
2.0%
259.09619998 3
3.0%
251.47572351 1
 
1.0%

Interactions

2023-12-10T19:43:26.420899image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-10T19:43:30.065320image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
기준일자성별연령대소비인구(명)
기준일자1.0000.0000.0000.000
성별0.0001.0000.9100.581
연령대0.0000.9101.0000.619
소비인구(명)0.0000.5810.6191.000
2023-12-10T19:43:30.250023image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
성별연령대기준일자
성별1.0000.6370.000
연령대0.6371.0000.000
기준일자0.0000.0001.000
2023-12-10T19:43:30.427534image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
소비인구(명)기준일자성별연령대
소비인구(명)1.0000.0000.4190.312
기준일자0.0001.0000.0000.000
성별0.4190.0001.0000.637
연령대0.3120.0000.6371.000

Missing values

2023-12-10T19:43:26.648947image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-10T19:43:26.911937image/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)
01111051500서울특별시종로구청운효자동20200301F2060.963812
11111051500서울특별시종로구청운효자동20200301F25106.686671
21111051500서울특별시종로구청운효자동20200301F3068.584288
31111051500서울특별시종로구청운효자동20200301F35114.307147
41111051500서울특별시종로구청운효자동20200301F4060.963812
51111051500서울특별시종로구청운효자동20200301F45106.686671
61111051500서울특별시종로구청운효자동20200301F5038.102382
71111051500서울특별시종로구청운효자동20200301F5538.102382
81111051500서울특별시종로구청운효자동20200301M1522.861429
91111051500서울특별시종로구청운효자동20200301M20289.578106
행정동코드시도명시군구명행정동명기준일자성별연령대소비인구(명)
901111051500서울특별시종로구청운효자동20200305M20213.373341
911111051500서울특별시종로구청운효자동20200305M25281.957629
921111051500서울특별시종로구청운효자동20200305M30259.0962
931111051500서울특별시종로구청운효자동20200305M35236.234771
941111051500서울특별시종로구청운효자동20200305M40129.5481
951111051500서울특별시종로구청운효자동20200305M45198.132388
961111051500서울특별시종로구청운효자동20200305M50129.5481
971111051500서울특별시종로구청운효자동20200305M55106.686671
981111051500서울특별시종로구청운효자동20200305M6030.481906
991111051500서울특별시종로구청운효자동20200301F1522.861429