Overview

Dataset statistics

Number of variables5
Number of observations387
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory16.0 KiB
Average record size in memory42.3 B

Variable types

Categorical4
Numeric1

Dataset

Description서울특별시 양천구 안심택배함 위치(설치장소), 칸수에 대한 설명과 월별 이용건수 등의 대한 정보를 제공하고 있습니다.
URLhttps://www.data.go.kr/data/15105016/fileData.do

Alerts

데이터기준일자 has constant value ""Constant
칸수 is highly overall correlated with 이용건수 and 1 other fieldsHigh correlation
설치장소 is highly overall correlated with 칸수High correlation
이용건수 is highly overall correlated with 칸수High correlation
이용건수 has 20 (5.2%) zerosZeros

Reproduction

Analysis started2023-12-12 00:18:54.669951
Analysis finished2023-12-12 00:18:55.101376
Duration0.43 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

설치장소
Categorical

HIGH CORRELATION 

Distinct19
Distinct (%)4.9%
Missing0
Missing (%)0.0%
Memory size3.2 KiB
목3동 주민센터
32 
목동보건지소
32 
양천나눔누리센터
32 
신월문화체육센터
32 
목동문화체육센터
32 
Other values (14)
227 

Length

Max length15
Median length10
Mean length10.431525
Min length8

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row목3동 주민센터
2nd row목3동 주민센터
3rd row목3동 주민센터
4th row목3동 주민센터
5th row목3동 주민센터

Common Values

ValueCountFrequency (%)
목3동 주민센터 32
 
8.3%
목동보건지소 32
 
8.3%
양천나눔누리센터 32
 
8.3%
신월문화체육센터 32
 
8.3%
목동문화체육센터 32
 
8.3%
목동실버복지문화센터 32
 
8.3%
경창시장고객주차장(신규) 28
 
7.2%
신월5동주민센터 26
 
6.7%
신정4동주민센터 26
 
6.7%
신월3동주민센터 26
 
6.7%
Other values (9) 89
23.0%

Length

2023-12-12T09:18:55.165627image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
목3동 32
 
7.1%
주민센터 32
 
7.1%
목동보건지소 32
 
7.1%
양천나눔누리센터 32
 
7.1%
신월문화체육센터 32
 
7.1%
목동문화체육센터 32
 
7.1%
목동실버복지문화센터 32
 
7.1%
신월5동주민센터 32
 
7.1%
신정4동주민센터 32
 
7.1%
신월3동주민센터 32
 
7.1%
Other values (5) 131
29.0%

칸수
Categorical

HIGH CORRELATION 

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size3.2 KiB
19
288 
12
99 

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 (%)
19 288
74.4%
12 99
 
25.6%

Length

2023-12-12T09:18:55.271854image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T09:18:55.356274image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
19 288
74.4%
12 99
 
25.6%

연월일
Categorical

Distinct32
Distinct (%)8.3%
Missing0
Missing (%)0.0%
Memory size3.2 KiB
2021-01-01
 
13
2021-02-01
 
13
2021-03-01
 
13
2021-04-01
 
13
2021-05-01
 
13
Other values (27)
322 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2021-01-01
2nd row2021-02-01
3rd row2021-03-01
4th row2021-04-01
5th row2021-05-01

Common Values

ValueCountFrequency (%)
2021-01-01 13
 
3.4%
2021-02-01 13
 
3.4%
2021-03-01 13
 
3.4%
2021-04-01 13
 
3.4%
2021-05-01 13
 
3.4%
2021-06-01 13
 
3.4%
2021-07-01 13
 
3.4%
2021-08-01 12
 
3.1%
2022-06-01 12
 
3.1%
2021-10-01 12
 
3.1%
Other values (22) 260
67.2%

Length

2023-12-12T09:18:55.445432image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
2021-01-01 13
 
3.4%
2021-05-01 13
 
3.4%
2021-07-01 13
 
3.4%
2021-06-01 13
 
3.4%
2021-02-01 13
 
3.4%
2021-04-01 13
 
3.4%
2021-03-01 13
 
3.4%
2023-04-01 12
 
3.1%
2022-05-01 12
 
3.1%
2023-02-01 12
 
3.1%
Other values (22) 260
67.2%

이용건수
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct214
Distinct (%)55.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean135.73385
Minimum0
Maximum499
Zeros20
Zeros (%)5.2%
Negative0
Negative (%)0.0%
Memory size3.5 KiB
2023-12-12T09:18:55.577524image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.3
Q154.5
median121
Q3197.5
95-th percentile341.2
Maximum499
Range499
Interquartile range (IQR)143

Descriptive statistics

Standard deviation103.37228
Coefficient of variation (CV)0.76158068
Kurtosis0.38969318
Mean135.73385
Median Absolute Deviation (MAD)71
Skewness0.79983112
Sum52529
Variance10685.828
MonotonicityNot monotonic
2023-12-12T09:18:55.704297image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 20
 
5.2%
65 5
 
1.3%
66 4
 
1.0%
131 4
 
1.0%
184 4
 
1.0%
5 4
 
1.0%
18 4
 
1.0%
106 4
 
1.0%
78 4
 
1.0%
53 4
 
1.0%
Other values (204) 330
85.3%
ValueCountFrequency (%)
0 20
5.2%
1 4
 
1.0%
3 3
 
0.8%
4 2
 
0.5%
5 4
 
1.0%
6 2
 
0.5%
7 2
 
0.5%
9 2
 
0.5%
10 1
 
0.3%
11 2
 
0.5%
ValueCountFrequency (%)
499 1
0.3%
493 1
0.3%
488 1
0.3%
440 1
0.3%
392 1
0.3%
385 1
0.3%
382 1
0.3%
377 1
0.3%
376 1
0.3%
369 1
0.3%

데이터기준일자
Categorical

CONSTANT 

Distinct1
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size3.2 KiB
2023-08-10
387 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2023-08-10
2nd row2023-08-10
3rd row2023-08-10
4th row2023-08-10
5th row2023-08-10

Common Values

ValueCountFrequency (%)
2023-08-10 387
100.0%

Length

2023-12-12T09:18:55.829739image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T09:18:55.916959image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2023-08-10 387
100.0%

Interactions

2023-12-12T09:18:54.862184image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T09:18:55.973236image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
설치장소칸수연월일이용건수
설치장소1.0001.0000.0000.744
칸수1.0001.0000.0000.950
연월일0.0000.0001.0000.293
이용건수0.7440.9500.2931.000
2023-12-12T09:18:56.068856image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
칸수설치장소연월일
칸수1.0000.9780.000
설치장소0.9781.0000.000
연월일0.0000.0001.000
2023-12-12T09:18:56.152080image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
이용건수설치장소칸수연월일
이용건수1.0000.3860.8010.103
설치장소0.3861.0000.9780.000
칸수0.8010.9781.0000.000
연월일0.1030.0000.0001.000

Missing values

2023-12-12T09:18:54.968311image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T09:18:55.069170image/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

설치장소칸수연월일이용건수데이터기준일자
0목3동 주민센터192021-01-012092023-08-10
1목3동 주민센터192021-02-011622023-08-10
2목3동 주민센터192021-03-011972023-08-10
3목3동 주민센터192021-04-011902023-08-10
4목3동 주민센터192021-05-011602023-08-10
5목3동 주민센터192021-06-011692023-08-10
6목3동 주민센터192021-07-012012023-08-10
7목3동 주민센터192021-08-012462023-08-10
8목3동 주민센터192021-09-011982023-08-10
9목3동 주민센터192021-10-011952023-08-10
설치장소칸수연월일이용건수데이터기준일자
377경창시장고객주차장(신규)122023-02-0132023-08-10
378경창시장고객주차장(신규)122023-03-0132023-08-10
379경창시장고객주차장(신규)122023-04-0142023-08-10
380개울도서관(이전설치)122021-01-01602023-08-10
381개울도서관(이전설치)122021-02-01522023-08-10
382개울도서관(이전설치)122021-03-01522023-08-10
383개울도서관(이전설치)122021-04-01532023-08-10
384개울도서관(이전설치)122021-05-01692023-08-10
385개울도서관(이전설치)122021-06-01712023-08-10
386개울도서관(이전설치)122021-07-01182023-08-10