Overview

Dataset statistics

Number of variables5
Number of observations96
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory4.1 KiB
Average record size in memory43.4 B

Variable types

Numeric2
Categorical3

Dataset

Description파일 다운로드
Author서울특별시
URLhttps://data.seoul.go.kr/dataList/OA-15241/S/1/datasetView.do

Alerts

회원구분 has constant value ""Constant
가입건수 has unique valuesUnique

Reproduction

Analysis started2024-05-18 03:35:26.477125
Analysis finished2024-05-18 03:35:28.097000
Duration1.62 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

가입년월
Real number (ℝ)

Distinct6
Distinct (%)6.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean202309.5
Minimum202307
Maximum202312
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size996.0 B
2024-05-18T12:35:28.224645image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum202307
5-th percentile202307
Q1202308
median202309.5
Q3202311
95-th percentile202312
Maximum202312
Range5
Interquartile range (IQR)3

Descriptive statistics

Standard deviation1.7167902
Coefficient of variation (CV)8.4859591 × 10-6
Kurtosis-1.2720071
Mean202309.5
Median Absolute Deviation (MAD)1.5
Skewness0
Sum19421712
Variance2.9473684
MonotonicityIncreasing
2024-05-18T12:35:28.429131image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
202307 16
16.7%
202308 16
16.7%
202309 16
16.7%
202310 16
16.7%
202311 16
16.7%
202312 16
16.7%
ValueCountFrequency (%)
202307 16
16.7%
202308 16
16.7%
202309 16
16.7%
202310 16
16.7%
202311 16
16.7%
202312 16
16.7%
ValueCountFrequency (%)
202312 16
16.7%
202311 16
16.7%
202310 16
16.7%
202309 16
16.7%
202308 16
16.7%
202307 16
16.7%

회원구분
Categorical

CONSTANT 

Distinct1
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size900.0 B
회원-내국인
96 

Length

Max length6
Median length6
Mean length6
Min length6

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row회원-내국인
2nd row회원-내국인
3rd row회원-내국인
4th row회원-내국인
5th row회원-내국인

Common Values

ValueCountFrequency (%)
회원-내국인 96
100.0%

Length

2024-05-18T12:35:28.649056image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-18T12:35:28.860795image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
회원-내국인 96
100.0%

연령대
Categorical

Distinct8
Distinct (%)8.3%
Missing0
Missing (%)0.0%
Memory size900.0 B
~10대
12 
20대
12 
30대
12 
40대
12 
50대
12 
Other values (3)
36 

Length

Max length5
Median length3
Mean length3.25
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row~10대
2nd row20대
3rd row30대
4th row40대
5th row50대

Common Values

ValueCountFrequency (%)
~10대 12
12.5%
20대 12
12.5%
30대 12
12.5%
40대 12
12.5%
50대 12
12.5%
60대 12
12.5%
70대이상 12
12.5%
기타 12
12.5%

Length

2024-05-18T12:35:29.193269image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-18T12:35:29.540759image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
10대 12
12.5%
20대 12
12.5%
30대 12
12.5%
40대 12
12.5%
50대 12
12.5%
60대 12
12.5%
70대이상 12
12.5%
기타 12
12.5%

성별
Categorical

Distinct2
Distinct (%)2.1%
Missing0
Missing (%)0.0%
Memory size900.0 B
F
48 
M
48 

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 (%)
F 48
50.0%
M 48
50.0%

Length

2024-05-18T12:35:29.911285image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-18T12:35:30.356667image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
f 48
50.0%
m 48
50.0%

가입건수
Real number (ℝ)

UNIQUE 

Distinct96
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2573.2188
Minimum7
Maximum12105
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size996.0 B
2024-05-18T12:35:30.787861image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum7
5-th percentile21.5
Q1195.5
median1521
Q33698
95-th percentile8280.5
Maximum12105
Range12098
Interquartile range (IQR)3502.5

Descriptive statistics

Standard deviation2953.1894
Coefficient of variation (CV)1.1476636
Kurtosis2.1110609
Mean2573.2188
Median Absolute Deviation (MAD)1454
Skewness1.5473228
Sum247029
Variance8721327.6
MonotonicityNot monotonic
2024-05-18T12:35:31.272177image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
3330 1
 
1.0%
11990 1
 
1.0%
14 1
 
1.0%
39 1
 
1.0%
206 1
 
1.0%
699 1
 
1.0%
1337 1
 
1.0%
1855 1
 
1.0%
3154 1
 
1.0%
1538 1
 
1.0%
Other values (86) 86
89.6%
ValueCountFrequency (%)
7 1
1.0%
8 1
1.0%
13 1
1.0%
14 1
1.0%
20 1
1.0%
22 1
1.0%
24 1
1.0%
28 1
1.0%
30 1
1.0%
32 1
1.0%
ValueCountFrequency (%)
12105 1
1.0%
11990 1
1.0%
11629 1
1.0%
11261 1
1.0%
8321 1
1.0%
8267 1
1.0%
8064 1
1.0%
7536 1
1.0%
7512 1
1.0%
7335 1
1.0%

Interactions

2024-05-18T12:35:27.100091image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T12:35:26.755793image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T12:35:27.253057image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T12:35:26.947839image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-05-18T12:35:31.540522image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
가입년월연령대성별가입건수
가입년월1.0000.0000.0000.249
연령대0.0001.0000.0000.832
성별0.0000.0001.0000.000
가입건수0.2490.8320.0001.000
2024-05-18T12:35:31.708727image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연령대성별
연령대1.0000.000
성별0.0001.000
2024-05-18T12:35:32.016016image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
가입년월가입건수연령대성별
가입년월1.000-0.2310.0000.000
가입건수-0.2311.0000.4210.000
연령대0.0000.4211.0000.000
성별0.0000.0000.0001.000

Missing values

2024-05-18T12:35:27.684812image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-05-18T12:35:27.965360image/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

가입년월회원구분연령대성별가입건수
0202307회원-내국인~10대F3330
1202307회원-내국인20대F7512
2202307회원-내국인30대F3226
3202307회원-내국인40대F2300
4202307회원-내국인50대F1345
5202307회원-내국인60대F370
6202307회원-내국인70대이상F77
7202307회원-내국인기타F20
8202307회원-내국인~10대M4372
9202307회원-내국인20대M8267
가입년월회원구분연령대성별가입건수
86202312회원-내국인70대이상F24
87202312회원-내국인기타F7
88202312회원-내국인~10대M2062
89202312회원-내국인20대M2174
90202312회원-내국인30대M1504
91202312회원-내국인40대M1321
92202312회원-내국인50대M906
93202312회원-내국인60대M340
94202312회원-내국인70대이상M50
95202312회원-내국인기타M8