Overview

Dataset statistics

Number of variables8
Number of observations3972
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory256.1 KiB
Average record size in memory66.0 B

Variable types

Numeric2
Categorical6

Dataset

Description경기도 수원시 국민기초생활보장수급자현황 자료로써 읍면동별, 수급자격별, 연령구간별로 수급자수 데이터를 제공합니다. ## LINK 미리보기 [![미리보기](http://curate.gimi9.com/linkview/www-data-go-kr-data-filedata-15107023?url=https%3A//www.suwon.go.kr/stat/stats/statsView.do%3FcategorySeqNo%3D66&version=d7)](https://www.data.go.kr/data/15107023/fileData.do)
URLhttps://www.data.go.kr/data/15107023/fileData.do

Alerts

시도명 has constant value ""Constant
데이터기준일 has constant value ""Constant
읍면동명 is highly overall correlated with 시군구명High correlation
시군구명 is highly overall correlated with 읍면동명High correlation

Reproduction

Analysis started2023-12-12 01:16:21.651225
Analysis finished2023-12-12 01:16:23.130751
Duration1.48 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연도
Real number (ℝ)

Distinct9
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2019.1518
Minimum2015
Maximum2023
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size35.0 KiB
2023-12-12T10:16:23.187784image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2015
5-th percentile2015
Q12017
median2019
Q32021
95-th percentile2023
Maximum2023
Range8
Interquartile range (IQR)4

Descriptive statistics

Standard deviation2.538024
Coefficient of variation (CV)0.0012569753
Kurtosis-1.1775971
Mean2019.1518
Median Absolute Deviation (MAD)2
Skewness-0.075032547
Sum8020071
Variance6.4415656
MonotonicityIncreasing
2023-12-12T10:16:23.363627image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
2019 469
11.8%
2020 467
11.8%
2021 464
11.7%
2022 463
11.7%
2018 461
11.6%
2023 458
11.5%
2017 404
10.2%
2016 400
10.1%
2015 386
9.7%
ValueCountFrequency (%)
2015 386
9.7%
2016 400
10.1%
2017 404
10.2%
2018 461
11.6%
2019 469
11.8%
2020 467
11.8%
2021 464
11.7%
2022 463
11.7%
2023 458
11.5%
ValueCountFrequency (%)
2023 458
11.5%
2022 463
11.7%
2021 464
11.7%
2020 467
11.8%
2019 469
11.8%
2018 461
11.6%
2017 404
10.2%
2016 400
10.1%
2015 386
9.7%

시도명
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size31.2 KiB
수원시
3972 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
수원시 3972
100.0%

Length

2023-12-12T10:16:23.541142image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T10:16:23.683799image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
수원시 3972
100.0%

시군구명
Categorical

HIGH CORRELATION 

Distinct4
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size31.2 KiB
권선구
1122 
영통구
1039 
장안구
914 
팔달구
897 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
권선구 1122
28.2%
영통구 1039
26.2%
장안구 914
23.0%
팔달구 897
22.6%

Length

2023-12-12T10:16:24.125220image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T10:16:24.255220image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
권선구 1122
28.2%
영통구 1039
26.2%
장안구 914
23.0%
팔달구 897
22.6%

읍면동명
Categorical

HIGH CORRELATION 

Distinct46
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Memory size31.2 KiB
서둔동
 
99
광교2동
 
98
우만1동
 
98
평동
 
98
세류3동
 
98
Other values (41)
3481 

Length

Max length4
Median length4
Mean length3.5196375
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
서둔동 99
 
2.5%
광교2동 98
 
2.5%
우만1동 98
 
2.5%
평동 98
 
2.5%
세류3동 98
 
2.5%
고등동 97
 
2.4%
정자2동 97
 
2.4%
영화동 97
 
2.4%
매탄4동 97
 
2.4%
매탄3동 97
 
2.4%
Other values (36) 2996
75.4%

Length

2023-12-12T10:16:24.420496image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
서둔동 99
 
2.5%
우만1동 98
 
2.5%
평동 98
 
2.5%
세류3동 98
 
2.5%
광교2동 98
 
2.5%
고등동 97
 
2.4%
정자2동 97
 
2.4%
영화동 97
 
2.4%
매탄4동 97
 
2.4%
매탄3동 97
 
2.4%
Other values (36) 2996
75.4%

자격
Categorical

Distinct4
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size31.2 KiB
기초생계급여
1168 
기초의료급여
1081 
기초주거급여
998 
기초교육급여
725 

Length

Max length6
Median length6
Mean length6
Min length6

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row기초생계급여
2nd row기초생계급여
3rd row기초생계급여
4th row기초의료급여
5th row기초의료급여

Common Values

ValueCountFrequency (%)
기초생계급여 1168
29.4%
기초의료급여 1081
27.2%
기초주거급여 998
25.1%
기초교육급여 725
18.3%

Length

2023-12-12T10:16:24.608131image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T10:16:24.793170image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
기초생계급여 1168
29.4%
기초의료급여 1081
27.2%
기초주거급여 998
25.1%
기초교육급여 725
18.3%

연령구간
Categorical

Distinct3
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size31.2 KiB
18~64세
1470 
18세미만
1434 
65세이상
1068 

Length

Max length6
Median length5
Mean length5.3700906
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row18세미만
2nd row18~64세
3rd row65세이상
4th row18세미만
5th row18~64세

Common Values

ValueCountFrequency (%)
18~64세 1470
37.0%
18세미만 1434
36.1%
65세이상 1068
26.9%

Length

2023-12-12T10:16:24.976407image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T10:16:25.106807image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
18~64세 1470
37.0%
18세미만 1434
36.1%
65세이상 1068
26.9%

인원수
Real number (ℝ)

Distinct340
Distinct (%)8.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean51.372356
Minimum1
Maximum725
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size35.0 KiB
2023-12-12T10:16:25.300024image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q17
median19
Q357
95-th percentile223.45
Maximum725
Range724
Interquartile range (IQR)50

Descriptive statistics

Standard deviation82.763373
Coefficient of variation (CV)1.6110488
Kurtosis16.085035
Mean51.372356
Median Absolute Deviation (MAD)16
Skewness3.4230294
Sum204051
Variance6849.7759
MonotonicityNot monotonic
2023-12-12T10:16:25.516728image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2 207
 
5.2%
1 200
 
5.0%
3 159
 
4.0%
4 158
 
4.0%
5 143
 
3.6%
7 127
 
3.2%
6 120
 
3.0%
8 120
 
3.0%
9 89
 
2.2%
10 86
 
2.2%
Other values (330) 2563
64.5%
ValueCountFrequency (%)
1 200
5.0%
2 207
5.2%
3 159
4.0%
4 158
4.0%
5 143
3.6%
6 120
3.0%
7 127
3.2%
8 120
3.0%
9 89
2.2%
10 86
2.2%
ValueCountFrequency (%)
725 1
< 0.1%
716 1
< 0.1%
715 1
< 0.1%
709 1
< 0.1%
697 1
< 0.1%
693 1
< 0.1%
690 2
0.1%
673 1
< 0.1%
670 1
< 0.1%
642 1
< 0.1%

데이터기준일
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size31.2 KiB
2023-05-26
3972 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2023-05-26
2nd row2023-05-26
3rd row2023-05-26
4th row2023-05-26
5th row2023-05-26

Common Values

ValueCountFrequency (%)
2023-05-26 3972
100.0%

Length

2023-12-12T10:16:25.705897image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T10:16:25.843212image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2023-05-26 3972
100.0%

Interactions

2023-12-12T10:16:22.478086image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T10:16:22.161087image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T10:16:22.683791image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T10:16:22.310252image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T10:16:25.946548image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연도시군구명읍면동명자격연령구간인원수
연도1.0000.0000.0000.0810.0000.050
시군구명0.0001.0001.0000.0000.0000.203
읍면동명0.0001.0001.0000.0000.0000.508
자격0.0810.0000.0001.0000.2170.493
연령구간0.0000.0000.0000.2171.0000.318
인원수0.0500.2030.5080.4930.3181.000
2023-12-12T10:16:26.113284image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
읍면동명연령구간자격시군구명
읍면동명1.0000.0000.0000.995
연령구간0.0001.0000.2060.000
자격0.0000.2061.0000.000
시군구명0.9950.0000.0001.000
2023-12-12T10:16:26.238045image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연도인원수시군구명읍면동명자격연령구간
연도1.0000.0950.0000.0000.0470.000
인원수0.0951.0000.1220.1980.3160.201
시군구명0.0000.1221.0000.9950.0000.000
읍면동명0.0000.1980.9951.0000.0000.000
자격0.0470.3160.0000.0001.0000.206
연령구간0.0000.2010.0000.0000.2061.000

Missing values

2023-12-12T10:16:22.875298image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T10:16:23.055232image/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

연도시도명시군구명읍면동명자격연령구간인원수데이터기준일
02015수원시장안구파장동기초생계급여18세미만842023-05-26
12015수원시장안구파장동기초생계급여18~64세3052023-05-26
22015수원시장안구파장동기초생계급여65세이상2142023-05-26
32015수원시장안구파장동기초의료급여18세미만242023-05-26
42015수원시장안구파장동기초의료급여18~64세402023-05-26
52015수원시장안구파장동기초의료급여65세이상82023-05-26
62015수원시장안구파장동기초주거급여18~64세22023-05-26
72015수원시장안구파장동기초교육급여18세미만562023-05-26
82015수원시장안구파장동기초교육급여18~64세92023-05-26
92015수원시장안구율천동기초생계급여18세미만442023-05-26
연도시도명시군구명읍면동명자격연령구간인원수데이터기준일
39622023수원시영통구광교2동기초생계급여18~64세1212023-05-26
39632023수원시영통구광교2동기초생계급여65세이상1462023-05-26
39642023수원시영통구광교2동기초의료급여18세미만32023-05-26
39652023수원시영통구광교2동기초의료급여18~64세162023-05-26
39662023수원시영통구광교2동기초의료급여65세이상172023-05-26
39672023수원시영통구광교2동기초주거급여18세미만252023-05-26
39682023수원시영통구광교2동기초주거급여18~64세782023-05-26
39692023수원시영통구광교2동기초주거급여65세이상1022023-05-26
39702023수원시영통구광교2동기초교육급여18세미만182023-05-26
39712023수원시영통구광교2동기초교육급여18~64세42023-05-26