Overview

Dataset statistics

Number of variables7
Number of observations10000
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory664.1 KiB
Average record size in memory68.0 B

Variable types

Numeric4
Categorical3

Dataset

Description대전광역시 동구 관내 복지대상자 정보로서, 읍면동명, 읍면동코드, 복지구분, 성별, 연령(1세단위) 및 인구수 정보를 포함하고 있습니다.
Author대전광역시 동구
URLhttps://www.data.go.kr/data/15111000/fileData.do

Alerts

순번 is highly overall correlated with 연령High correlation
법정동코드 is highly overall correlated with 법정읍면동명High correlation
연령 is highly overall correlated with 순번High correlation
법정읍면동명 is highly overall correlated with 법정동코드High correlation
순번 has unique valuesUnique

Reproduction

Analysis started2024-04-21 03:30:15.581447
Analysis finished2024-04-21 03:30:20.129846
Duration4.55 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

순번
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct10000
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6999.183
Minimum0
Maximum13970
Zeros1
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-21T12:30:20.314963image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile707.95
Q13534.75
median6978
Q310488.25
95-th percentile13276.05
Maximum13970
Range13970
Interquartile range (IQR)6953.5

Descriptive statistics

Standard deviation4030.906
Coefficient of variation (CV)0.57591093
Kurtosis-1.1970763
Mean6999.183
Median Absolute Deviation (MAD)3482.5
Skewness-0.0011683602
Sum69991830
Variance16248203
MonotonicityNot monotonic
2024-04-21T12:30:20.741676image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
13496 1
 
< 0.1%
13352 1
 
< 0.1%
12256 1
 
< 0.1%
9030 1
 
< 0.1%
9711 1
 
< 0.1%
2546 1
 
< 0.1%
3006 1
 
< 0.1%
805 1
 
< 0.1%
9374 1
 
< 0.1%
10056 1
 
< 0.1%
Other values (9990) 9990
99.9%
ValueCountFrequency (%)
0 1
< 0.1%
1 1
< 0.1%
2 1
< 0.1%
3 1
< 0.1%
4 1
< 0.1%
5 1
< 0.1%
7 1
< 0.1%
8 1
< 0.1%
9 1
< 0.1%
10 1
< 0.1%
ValueCountFrequency (%)
13970 1
< 0.1%
13969 1
< 0.1%
13968 1
< 0.1%
13967 1
< 0.1%
13965 1
< 0.1%
13963 1
< 0.1%
13962 1
< 0.1%
13960 1
< 0.1%
13955 1
< 0.1%
13954 1
< 0.1%

법정읍면동명
Categorical

HIGH CORRELATION 

Distinct16
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
가양2동
782 
용전동
732 
산내동
724 
효동
724 
가양1동
681 
Other values (11)
6357 

Length

Max length4
Median length3
Mean length3.1396
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row가양2동
2nd row가양1동
3rd row가양2동
4th row대동
5th row가양2동

Common Values

ValueCountFrequency (%)
가양2동 782
 
7.8%
용전동 732
 
7.3%
산내동 724
 
7.2%
효동 724
 
7.2%
가양1동 681
 
6.8%
판암1동 657
 
6.6%
용운동 636
 
6.4%
삼성동 636
 
6.4%
자양동 627
 
6.3%
대동 622
 
6.2%
Other values (6) 3179
31.8%

Length

2024-04-21T12:30:21.195293image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
가양2동 782
 
7.8%
용전동 732
 
7.3%
산내동 724
 
7.2%
효동 724
 
7.2%
가양1동 681
 
6.8%
판암1동 657
 
6.6%
용운동 636
 
6.4%
삼성동 636
 
6.4%
자양동 627
 
6.3%
대동 622
 
6.2%
Other values (6) 3179
31.8%

법정동코드
Real number (ℝ)

HIGH CORRELATION 

Distinct29
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.0110119 × 109
Minimum3.0110101 × 109
Maximum3.0110149 × 109
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-21T12:30:21.586306image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3.0110101 × 109
5-th percentile3.0110103 × 109
Q13.0110109 × 109
median3.0110114 × 109
Q33.0110118 × 109
95-th percentile3.0110148 × 109
Maximum3.0110149 × 109
Range4800
Interquartile range (IQR)900

Descriptive statistics

Standard deviation1498.9478
Coefficient of variation (CV)4.9782194 × 10-7
Kurtosis-0.12382835
Mean3.0110119 × 109
Median Absolute Deviation (MAD)400
Skewness1.2053519
Sum3.0110119 × 1013
Variance2246844.5
MonotonicityNot monotonic
2024-04-21T12:30:22.000089image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=29)
ValueCountFrequency (%)
3011011400 1463
14.6%
3011010700 1278
12.8%
3011011500 732
 
7.3%
3011010300 683
 
6.8%
3011014700 662
 
6.6%
3011010900 636
 
6.4%
3011011800 636
 
6.4%
3011011100 627
 
6.3%
3011011000 622
 
6.2%
3011011700 601
 
6.0%
Other values (19) 2060
20.6%
ValueCountFrequency (%)
3011010100 2
 
< 0.1%
3011010200 18
 
0.2%
3011010300 683
6.8%
3011010400 18
 
0.2%
3011010500 23
 
0.2%
3011010600 22
 
0.2%
3011010700 1278
12.8%
3011010800 1
 
< 0.1%
3011010900 636
6.4%
3011011000 622
6.2%
ValueCountFrequency (%)
3011014900 484
4.8%
3011014800 573
5.7%
3011014700 662
6.6%
3011014600 271
2.7%
3011014500 10
 
0.1%
3011014300 3
 
< 0.1%
3011014100 1
 
< 0.1%
3011013900 11
 
0.1%
3011013700 1
 
< 0.1%
3011013600 36
 
0.4%

복지구분
Categorical

Distinct10
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
의료급여
1775 
장애인
1773 
기초수급자
1771 
차상위계층
1483 
한부모가족
801 
Other values (5)
2397 

Length

Max length6
Median length5
Mean length4.3642
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row차상위계층
2nd row기초수급자
3rd row한부모가족
4th row자활지원
5th row한부모가족

Common Values

ValueCountFrequency (%)
의료급여 1775
17.8%
장애인 1773
17.7%
기초수급자 1771
17.7%
차상위계층 1483
14.8%
한부모가족 801
8.0%
기초연금 739
7.4%
긴급복지 680
 
6.8%
서비스이용권 514
 
5.1%
자활지원 298
 
3.0%
영유아 보육 166
 
1.7%

Length

2024-04-21T12:30:22.418018image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T12:30:22.770913image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
의료급여 1775
17.5%
장애인 1773
17.4%
기초수급자 1771
17.4%
차상위계층 1483
14.6%
한부모가족 801
7.9%
기초연금 739
7.3%
긴급복지 680
 
6.7%
서비스이용권 514
 
5.1%
자활지원 298
 
2.9%
영유아 166
 
1.6%

성별
Categorical

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
여성
5111 
남성
4889 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row여성
2nd row남성
3rd row남성
4th row여성
5th row남성

Common Values

ValueCountFrequency (%)
여성 5111
51.1%
남성 4889
48.9%

Length

2024-04-21T12:30:23.180969image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T12:30:23.480803image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
여성 5111
51.1%
남성 4889
48.9%

연령
Real number (ℝ)

HIGH CORRELATION 

Distinct109
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean49.4981
Minimum0
Maximum119
Zeros37
Zeros (%)0.4%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-21T12:30:23.811137image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile6
Q126
median52
Q371
95-th percentile90
Maximum119
Range119
Interquartile range (IQR)45

Descriptive statistics

Standard deviation26.703867
Coefficient of variation (CV)0.53949277
Kurtosis-1.0831073
Mean49.4981
Median Absolute Deviation (MAD)22
Skewness-0.12895354
Sum494981
Variance713.09651
MonotonicityNot monotonic
2024-04-21T12:30:24.243099image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
53 165
 
1.7%
65 149
 
1.5%
55 140
 
1.4%
66 139
 
1.4%
68 136
 
1.4%
75 135
 
1.4%
50 135
 
1.4%
59 132
 
1.3%
67 132
 
1.3%
60 129
 
1.3%
Other values (99) 8608
86.1%
ValueCountFrequency (%)
0 37
 
0.4%
1 47
0.5%
2 73
0.7%
3 98
1.0%
4 98
1.0%
5 115
1.1%
6 104
1.0%
7 94
0.9%
8 110
1.1%
9 103
1.0%
ValueCountFrequency (%)
119 2
 
< 0.1%
113 2
 
< 0.1%
107 2
 
< 0.1%
105 3
 
< 0.1%
104 3
 
< 0.1%
103 3
 
< 0.1%
102 2
 
< 0.1%
101 4
 
< 0.1%
100 20
0.2%
99 15
0.1%

인구수
Real number (ℝ)

Distinct99
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.3478
Minimum1
Maximum118
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-21T12:30:24.650549image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median3
Q36
95-th percentile25
Maximum118
Range117
Interquartile range (IQR)5

Descriptive statistics

Standard deviation11.594813
Coefficient of variation (CV)1.8265876
Kurtosis22.312254
Mean6.3478
Median Absolute Deviation (MAD)2
Skewness4.3679725
Sum63478
Variance134.43968
MonotonicityNot monotonic
2024-04-21T12:30:25.088133image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 3102
31.0%
2 1708
17.1%
3 1114
 
11.1%
4 758
 
7.6%
5 593
 
5.9%
6 443
 
4.4%
7 333
 
3.3%
8 284
 
2.8%
10 209
 
2.1%
9 186
 
1.9%
Other values (89) 1270
12.7%
ValueCountFrequency (%)
1 3102
31.0%
2 1708
17.1%
3 1114
 
11.1%
4 758
 
7.6%
5 593
 
5.9%
6 443
 
4.4%
7 333
 
3.3%
8 284
 
2.8%
9 186
 
1.9%
10 209
 
2.1%
ValueCountFrequency (%)
118 1
 
< 0.1%
114 1
 
< 0.1%
106 1
 
< 0.1%
101 1
 
< 0.1%
99 4
< 0.1%
97 2
< 0.1%
96 2
< 0.1%
95 2
< 0.1%
93 2
< 0.1%
92 1
 
< 0.1%

Interactions

2024-04-21T12:30:18.812858image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T12:30:16.600959image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T12:30:17.292538image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T12:30:18.149830image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T12:30:18.987720image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T12:30:16.776201image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T12:30:17.466290image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T12:30:18.321676image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T12:30:19.152356image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T12:30:16.948179image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T12:30:17.627811image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T12:30:18.484801image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T12:30:19.314840image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T12:30:17.120536image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T12:30:17.793837image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T12:30:18.649442image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-04-21T12:30:25.361485image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순번법정읍면동명법정동코드복지구분성별연령인구수
순번1.0000.0780.0650.6150.1320.9830.379
법정읍면동명0.0781.0000.9430.1810.0340.0880.168
법정동코드0.0650.9431.0000.2750.0040.0660.073
복지구분0.6150.1810.2751.0000.1590.6080.639
성별0.1320.0340.0040.1591.0000.1420.074
연령0.9830.0880.0660.6080.1421.0000.361
인구수0.3790.1680.0730.6390.0740.3611.000
2024-04-21T12:30:25.636455image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
법정읍면동명복지구분성별
법정읍면동명1.0000.0710.027
복지구분0.0711.0000.121
성별0.0270.1211.000
2024-04-21T12:30:25.890423image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순번법정동코드연령인구수법정읍면동명복지구분성별
순번1.000-0.022-1.000-0.2190.0310.2300.101
법정동코드-0.0221.0000.021-0.0660.8130.1430.004
연령-1.0000.0211.0000.2180.0340.2260.109
인구수-0.219-0.0660.2181.0000.0660.2440.057
법정읍면동명0.0310.8130.0340.0661.0000.0710.027
복지구분0.2300.1430.2260.2440.0711.0000.121
성별0.1010.0040.1090.0570.0270.1211.000

Missing values

2024-04-21T12:30:19.573266image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-04-21T12:30:19.965262image/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

순번법정읍면동명법정동코드복지구분성별연령인구수
1349613496가양2동3011011400차상위계층여성42
1059810598가양1동3011011400기초수급자남성251
1128611286가양2동3011011400한부모가족남성206
49864986대동3011011000자활지원여성631
1101311013가양2동3011011400한부모가족남성223
19751975신인동3011014800기초수급자여성814
1279412794산내동3011014700차상위계층여성910
21142114효동3011010500서비스이용권여성801
44864486용운동3011010900기초수급자남성665
57985798산내동3011014700장애인여성586
순번법정읍면동명법정동코드복지구분성별연령인구수
89378937용운동3011010900기초수급자남성401
79517951가양1동3011011400차상위계층여성463
60636063가양2동3011011400의료급여남성5717
1005810058효동3011010300긴급복지남성304
57715771효동3011010300장애인여성585
66346634판암1동3011010700장애인여성5311
78067806성남동3011011600자활지원여성471
50205020중앙동3011014900기초수급자여성632
33443344효동3011010300의료급여남성736
70297029용운동3011010900장애인남성519