Overview

Dataset statistics

Number of variables6
Number of observations500
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory25.5 KiB
Average record size in memory52.3 B

Variable types

Categorical3
Numeric2
DateTime1

Dataset

Description서울특별시 광진구의 여성안심 택배함 이용률에 대한 데이터를 제공합니다. 시설명, 칸수, 월별 이용률의 내용을 포함하고 있습니다.
URLhttps://www.data.go.kr/data/15063627/fileData.do

Alerts

데이터기준일자 has constant value ""Constant
시설명 is highly overall correlated with 칸수High correlation
칸수 is highly overall correlated with 시설명High correlation

Reproduction

Analysis started2023-12-12 03:28:27.252260
Analysis finished2023-12-12 03:28:28.652253
Duration1.4 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

시설명
Categorical

HIGH CORRELATION 

Distinct14
Distinct (%)2.8%
Missing0
Missing (%)0.0%
Memory size4.0 KiB
광진경찰서
47 
구의2동주택가 공동주차장
47 
동부여성발전센터(2개소)
47 
자양4동 주민센터
47 
자양종합사회복지관
47 
Other values (9)
265 

Length

Max length13
Median length9
Mean length8.654
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
광진경찰서 47
9.4%
구의2동주택가 공동주차장 47
9.4%
동부여성발전센터(2개소) 47
9.4%
자양4동 주민센터 47
9.4%
자양종합사회복지관 47
9.4%
중곡1동주민센터 47
9.4%
자양2동주민센터 42
8.4%
중곡감리교회 36
7.2%
중곡문화체육센터 36
7.2%
중곡종합건강센터 36
7.2%
Other values (4) 68
13.6%

Length

2023-12-12T12:28:28.779707image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
광진경찰서 47
 
7.9%
구의2동주택가 47
 
7.9%
공동주차장 47
 
7.9%
동부여성발전센터(2개소 47
 
7.9%
자양4동 47
 
7.9%
주민센터 47
 
7.9%
자양종합사회복지관 47
 
7.9%
중곡1동주민센터 47
 
7.9%
자양2동주민센터 42
 
7.1%
중곡감리교회 36
 
6.1%
Other values (6) 140
23.6%

칸수
Categorical

HIGH CORRELATION 

Distinct5
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size4.0 KiB
19
324 
12
109 
26
35 
13
 
20
37
 
12

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row19
2nd row19
3rd row19
4th row19
5th row19

Common Values

ValueCountFrequency (%)
19 324
64.8%
12 109
 
21.8%
26 35
 
7.0%
13 20
 
4.0%
37 12
 
2.4%

Length

2023-12-12T12:28:28.968618image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T12:28:29.120135image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
19 324
64.8%
12 109
 
21.8%
26 35
 
7.0%
13 20
 
4.0%
37 12
 
2.4%

연도
Categorical

Distinct4
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size4.0 KiB
2022
147 
2021
138 
2020
132 
2019
83 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2019
2nd row2019
3rd row2019
4th row2019
5th row2019

Common Values

ValueCountFrequency (%)
2022 147
29.4%
2021 138
27.6%
2020 132
26.4%
2019 83
16.6%

Length

2023-12-12T12:28:29.257009image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T12:28:29.380605image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2022 147
29.4%
2021 138
27.6%
2020 132
26.4%
2019 83
16.6%

월
Real number (ℝ)

Distinct12
Distinct (%)2.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.506
Minimum1
Maximum12
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2023-12-12T12:28:29.544274image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q14
median7
Q39
95-th percentile12
Maximum12
Range11
Interquartile range (IQR)5

Descriptive statistics

Standard deviation3.4107522
Coefficient of variation (CV)0.52424718
Kurtosis-1.2057857
Mean6.506
Median Absolute Deviation (MAD)3
Skewness-0.032643744
Sum3253
Variance11.63323
MonotonicityNot monotonic
2023-12-12T12:28:29.713772image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
8 44
8.8%
9 44
8.8%
10 44
8.8%
11 44
8.8%
6 42
8.4%
7 42
8.4%
1 41
8.2%
2 41
8.2%
3 41
8.2%
4 41
8.2%
Other values (2) 76
15.2%
ValueCountFrequency (%)
1 41
8.2%
2 41
8.2%
3 41
8.2%
4 41
8.2%
5 41
8.2%
6 42
8.4%
7 42
8.4%
8 44
8.8%
9 44
8.8%
10 44
8.8%
ValueCountFrequency (%)
12 35
7.0%
11 44
8.8%
10 44
8.8%
9 44
8.8%
8 44
8.8%
7 42
8.4%
6 42
8.4%
5 41
8.2%
4 41
8.2%
3 41
8.2%

이용률(퍼센트)
Real number (ℝ)

Distinct81
Distinct (%)16.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean35.308
Minimum0
Maximum93
Zeros5
Zeros (%)1.0%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2023-12-12T12:28:29.918904image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile5.95
Q124
median35
Q345
95-th percentile65
Maximum93
Range93
Interquartile range (IQR)21

Descriptive statistics

Standard deviation17.518531
Coefficient of variation (CV)0.49616323
Kurtosis0.40304932
Mean35.308
Median Absolute Deviation (MAD)10.5
Skewness0.32093004
Sum17654
Variance306.89893
MonotonicityNot monotonic
2023-12-12T12:28:30.100592image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
34 21
 
4.2%
29 17
 
3.4%
47 16
 
3.2%
43 16
 
3.2%
38 15
 
3.0%
30 14
 
2.8%
45 14
 
2.8%
44 13
 
2.6%
39 12
 
2.4%
36 12
 
2.4%
Other values (71) 350
70.0%
ValueCountFrequency (%)
0 5
1.0%
1 6
1.2%
2 2
 
0.4%
3 4
0.8%
4 4
0.8%
5 4
0.8%
6 6
1.2%
7 2
 
0.4%
8 3
0.6%
9 6
1.2%
ValueCountFrequency (%)
93 2
0.4%
89 1
0.2%
88 2
0.4%
84 2
0.4%
80 1
0.2%
79 1
0.2%
77 2
0.4%
76 2
0.4%
75 1
0.2%
74 1
0.2%

데이터기준일자
Date

CONSTANT 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size4.0 KiB
Minimum2023-01-27 00:00:00
Maximum2023-01-27 00:00:00
2023-12-12T12:28:30.244286image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T12:28:30.365813image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Interactions

2023-12-12T12:28:27.775060image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T12:28:27.532569image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T12:28:27.909713image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T12:28:27.651311image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T12:28:30.468096image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
시설명칸수연도월이용률(퍼센트)
시설명1.0000.8660.3100.0000.643
칸수0.8661.0000.4110.0000.649
연도0.3100.4111.0000.0000.467
월0.0000.0000.0001.0000.000
이용률(퍼센트)0.6430.6490.4670.0001.000
2023-12-12T12:28:30.626494image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
시설명연도칸수
시설명1.0000.1780.675
연도0.1781.0000.346
칸수0.6750.3461.000
2023-12-12T12:28:30.758908image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
월이용률(퍼센트)시설명칸수연도
월1.0000.0640.0000.0000.000
이용률(퍼센트)0.0641.0000.3220.3230.296
시설명0.0000.3221.0000.6750.178
칸수0.0000.3230.6751.0000.346
연도0.0000.2960.1780.3461.000

Missing values

2023-12-12T12:28:28.389727image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T12:28:28.595049image/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

시설명칸수연도월이용률(퍼센트)데이터기준일자
0광진경찰서1920191132023-01-27
1광진경찰서192019292023-01-27
2광진경찰서1920193122023-01-27
3광진경찰서1920194122023-01-27
4광진경찰서1920195152023-01-27
5광진경찰서1920196162023-01-27
6광진경찰서1920197102023-01-27
7광진경찰서1920198142023-01-27
8광진경찰서1920199162023-01-27
9광진경찰서19201910162023-01-27
시설명칸수연도월이용률(퍼센트)데이터기준일자
490자양문화체육센터192022602023-01-27
491자양문화체육센터192022712023-01-27
492자양문화체육센터192022842023-01-27
493자양문화체육센터192022932023-01-27
494자양문화체육센터1920221042023-01-27
495자양문화체육센터1920221152023-01-27
496군자동주민센터122022802023-01-27
497군자동주민센터122022952023-01-27
498군자동주민센터1220221042023-01-27
499군자동주민센터1220221162023-01-27