Overview

Dataset statistics

Number of variables7
Number of observations108
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory6.3 KiB
Average record size in memory60.2 B

Variable types

DateTime1
Numeric3
Categorical3

Dataset

Description서울시 광진구 쓰레기 처리 정보를 제공합니다.(동 주민센터 현장 방문접수건, 구청 홈페이지 인터넷 접수건 등 월별 총 처리 건수 데이터 제공)
Author서울특별시 광진구
URLhttps://www.data.go.kr/data/3055283/fileData.do

Alerts

관리기관명 has constant value ""Constant
데이터기준일자 has constant value ""Constant
전체 처리건수 is highly overall correlated with 방문신청건수 and 2 other fieldsHigh correlation
방문신청건수 is highly overall correlated with 전체 처리건수 and 2 other fieldsHigh correlation
인터넷신청건수 is highly overall correlated with 전체 처리건수 and 2 other fieldsHigh correlation
관리기관 연락처 is highly overall correlated with 전체 처리건수 and 2 other fieldsHigh correlation
신청건수 기준일 has unique valuesUnique
전체 처리건수 has unique valuesUnique
방문신청건수 has unique valuesUnique

Reproduction

Analysis started2024-03-14 23:30:39.676520
Analysis finished2024-03-14 23:30:42.522634
Duration2.85 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

신청건수 기준일
Date

UNIQUE 

Distinct108
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size992.0 B
Minimum2015-01-31 00:00:00
Maximum2023-12-31 00:00:00
2024-03-15T08:30:42.712252image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T08:30:42.964679image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

전체 처리건수
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct108
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean10711.685
Minimum3714
Maximum18008
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2024-03-15T08:30:43.210637image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3714
5-th percentile5104.95
Q17291.5
median10639
Q314077
95-th percentile16263.9
Maximum18008
Range14294
Interquartile range (IQR)6785.5

Descriptive statistics

Standard deviation3840.8245
Coefficient of variation (CV)0.35856398
Kurtosis-1.2147228
Mean10711.685
Median Absolute Deviation (MAD)3444.5
Skewness-0.043979307
Sum1156862
Variance14751933
MonotonicityNot monotonic
2024-03-15T08:30:43.621187image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
3714 1
 
0.9%
15402 1
 
0.9%
15585 1
 
0.9%
15554 1
 
0.9%
15392 1
 
0.9%
15340 1
 
0.9%
14893 1
 
0.9%
15552 1
 
0.9%
18008 1
 
0.9%
14593 1
 
0.9%
Other values (98) 98
90.7%
ValueCountFrequency (%)
3714 1
0.9%
3827 1
0.9%
4373 1
0.9%
4672 1
0.9%
4916 1
0.9%
5050 1
0.9%
5207 1
0.9%
5284 1
0.9%
5335 1
0.9%
5343 1
0.9%
ValueCountFrequency (%)
18008 1
0.9%
17653 1
0.9%
17096 1
0.9%
16961 1
0.9%
16896 1
0.9%
16280 1
0.9%
16234 1
0.9%
15932 1
0.9%
15681 1
0.9%
15585 1
0.9%

방문신청건수
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct108
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6128.213
Minimum3031
Maximum9230
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2024-03-15T08:30:44.028138image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3031
5-th percentile4085.25
Q15188
median6201.5
Q37077.5
95-th percentile8215.35
Maximum9230
Range6199
Interquartile range (IQR)1889.5

Descriptive statistics

Standard deviation1318.1285
Coefficient of variation (CV)0.21509182
Kurtosis-0.42859956
Mean6128.213
Median Absolute Deviation (MAD)963.5
Skewness-0.11328235
Sum661847
Variance1737462.7
MonotonicityNot monotonic
2024-03-15T08:30:44.477060image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
3031 1
 
0.9%
8609 1
 
0.9%
7807 1
 
0.9%
7349 1
 
0.9%
7640 1
 
0.9%
7846 1
 
0.9%
7512 1
 
0.9%
8382 1
 
0.9%
8996 1
 
0.9%
6576 1
 
0.9%
Other values (98) 98
90.7%
ValueCountFrequency (%)
3031 1
0.9%
3099 1
0.9%
3365 1
0.9%
3692 1
0.9%
3953 1
0.9%
4052 1
0.9%
4147 1
0.9%
4289 1
0.9%
4308 1
0.9%
4344 1
0.9%
ValueCountFrequency (%)
9230 1
0.9%
8996 1
0.9%
8609 1
0.9%
8393 1
0.9%
8382 1
0.9%
8222 1
0.9%
8203 1
0.9%
7909 1
0.9%
7849 1
0.9%
7846 1
0.9%

인터넷신청건수
Real number (ℝ)

HIGH CORRELATION 

Distinct107
Distinct (%)99.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4583.5
Minimum683
Maximum10199
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2024-03-15T08:30:44.922255image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum683
5-th percentile954.4
Q11852.25
median3910.5
Q37220.25
95-th percentile8963.7
Maximum10199
Range9516
Interquartile range (IQR)5368

Descriptive statistics

Standard deviation2860.546
Coefficient of variation (CV)0.62409644
Kurtosis-1.4270607
Mean4583.5
Median Absolute Deviation (MAD)2621
Skewness0.20743343
Sum495018
Variance8182723.5
MonotonicityNot monotonic
2024-03-15T08:30:45.269335image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
7170 2
 
1.9%
683 1
 
0.9%
7666 1
 
0.9%
8205 1
 
0.9%
7752 1
 
0.9%
7494 1
 
0.9%
7381 1
 
0.9%
9012 1
 
0.9%
8017 1
 
0.9%
7203 1
 
0.9%
Other values (97) 97
89.8%
ValueCountFrequency (%)
683 1
0.9%
728 1
0.9%
818 1
0.9%
903 1
0.9%
918 1
0.9%
953 1
0.9%
957 1
0.9%
963 1
0.9%
980 1
0.9%
986 1
0.9%
ValueCountFrequency (%)
10199 1
0.9%
9723 1
0.9%
9260 1
0.9%
9097 1
0.9%
9036 1
0.9%
9012 1
0.9%
8874 1
0.9%
8864 1
0.9%
8789 1
0.9%
8760 1
0.9%

관리기관 연락처
Categorical

HIGH CORRELATION 

Distinct2
Distinct (%)1.9%
Missing0
Missing (%)0.0%
Memory size992.0 B
02-450-7625
96 
02-450-7613
12 

Length

Max length11
Median length11
Mean length11
Min length11

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row02-450-7613
2nd row02-450-7613
3rd row02-450-7613
4th row02-450-7613
5th row02-450-7613

Common Values

ValueCountFrequency (%)
02-450-7625 96
88.9%
02-450-7613 12
 
11.1%

Length

2024-03-15T08:30:45.721708image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-15T08:30:46.032238image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
02-450-7625 96
88.9%
02-450-7613 12
 
11.1%

관리기관명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size992.0 B
서울특별시 광진구청
108 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
서울특별시 광진구청 108
100.0%

Length

2024-03-15T08:30:46.361841image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-15T08:30:46.666204image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
서울특별시 108
50.0%
광진구청 108
50.0%

데이터기준일자
Categorical

CONSTANT 

Distinct1
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size992.0 B
2024-02-13
108 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2024-02-13
2nd row2024-02-13
3rd row2024-02-13
4th row2024-02-13
5th row2024-02-13

Common Values

ValueCountFrequency (%)
2024-02-13 108
100.0%

Length

2024-03-15T08:30:46.964576image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-15T08:30:47.177331image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2024-02-13 108
100.0%

Interactions

2024-03-15T08:30:41.061544image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T08:30:39.919824image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T08:30:40.497470image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T08:30:41.315395image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T08:30:40.081981image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T08:30:40.662500image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T08:30:41.564738image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T08:30:40.349394image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T08:30:40.837762image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-03-15T08:30:47.277132image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
전체 처리건수방문신청건수인터넷신청건수관리기관 연락처
전체 처리건수1.0000.9110.9150.872
방문신청건수0.9111.0000.6760.837
인터넷신청건수0.9150.6761.0000.791
관리기관 연락처0.8720.8370.7911.000
2024-03-15T08:30:47.447098image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
전체 처리건수방문신청건수인터넷신청건수관리기관 연락처
전체 처리건수1.0000.8060.9710.702
방문신청건수0.8061.0000.6750.661
인터넷신청건수0.9710.6751.0000.618
관리기관 연락처0.7020.6610.6181.000

Missing values

2024-03-15T08:30:41.895230image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-15T08:30:42.301401image/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

신청건수 기준일전체 처리건수방문신청건수인터넷신청건수관리기관 연락처관리기관명데이터기준일자
02015-01-313714303168302-450-7613서울특별시 광진구청2024-02-13
12015-02-283827309972802-450-7613서울특별시 광진구청2024-02-13
22015-03-315723473798602-450-7613서울특별시 광진구청2024-02-13
32015-04-305284446681802-450-7613서울특별시 광진구청2024-02-13
42015-05-315207428991802-450-7613서울특별시 광진구청2024-02-13
52015-06-305730474099002-450-7613서울특별시 광진구청2024-02-13
62015-07-315343438695702-450-7613서울특별시 광진구청2024-02-13
72015-08-3155214509101202-450-7613서울특별시 광진구청2024-02-13
82015-09-305050414790302-450-7613서울특별시 광진구청2024-02-13
92015-10-315451449895302-450-7613서울특별시 광진구청2024-02-13
신청건수 기준일전체 처리건수방문신청건수인터넷신청건수관리기관 연락처관리기관명데이터기준일자
982023-03-31176538393926002-450-7625서울특별시 광진구청2024-02-13
992023-04-30142716619765202-450-7625서울특별시 광진구청2024-02-13
1002023-05-31170968222887402-450-7625서울특별시 광진구청2024-02-13
1012023-06-30162347445878902-450-7625서울특별시 광진구청2024-02-13
1022023-07-31159326898903602-450-7625서울특별시 광진구청2024-02-13
1032023-08-30162806557972302-450-7625서울특별시 광진구청2024-02-13
1042023-09-30143855626876002-450-7625서울특별시 광진구청2024-02-13
1052023-10-311696167621019902-450-7625서울특별시 광진구청2024-02-13
1062023-11-30144745377909702-450-7625서울특별시 광진구청2024-02-13
1072023-12-31135024638886402-450-7625서울특별시 광진구청2024-02-13