Overview

Dataset statistics

Number of variables7
Number of observations155
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory9.5 KiB
Average record size in memory62.9 B

Variable types

Categorical3
Numeric4

Dataset

Description장애정도별 장애아동수당 수급자 집계현황
Author경기복지재단(경기도장애인복지종합지원센터)
URLhttps://data.gg.go.kr/portal/data/service/selectServicePage.do?&infId=TVKZF69UYB2RCIODMBR525712066&infSeq=1

Alerts

해당없음수급자수(명) has constant value ""Constant
합계(명) is highly overall correlated with 심한장애(중증)수급자수(명) and 3 other fieldsHigh correlation
심한장애(중증)수급자수(명) is highly overall correlated with 합계(명) and 3 other fieldsHigh correlation
심한장애(경증)수급자수(명) is highly overall correlated with 합계(명) and 3 other fieldsHigh correlation
심하지않은장애(경증)수급자수(명) is highly overall correlated with 합계(명) and 2 other fieldsHigh correlation
시군명 is highly overall correlated with 합계(명) and 2 other fieldsHigh correlation
심하지않은장애(경증)수급자수(명) has 14 (9.0%) zerosZeros

Reproduction

Analysis started2024-04-11 01:53:56.719091
Analysis finished2024-04-11 01:53:59.856140
Duration3.14 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

기준년도
Categorical

Distinct5
Distinct (%)3.2%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
2023
31 
2022
31 
2021
31 
2020
31 
2019
31 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2023
2nd row2023
3rd row2023
4th row2023
5th row2023

Common Values

ValueCountFrequency (%)
2023 31
20.0%
2022 31
20.0%
2021 31
20.0%
2020 31
20.0%
2019 31
20.0%

Length

2024-04-11T10:53:59.913836image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-11T10:54:00.007459image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2023 31
20.0%
2022 31
20.0%
2021 31
20.0%
2020 31
20.0%
2019 31
20.0%

시군명
Categorical

HIGH CORRELATION 

Distinct31
Distinct (%)20.0%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
가평군
 
5
고양시
 
5
과천시
 
5
광명시
 
5
광주시
 
5
Other values (26)
130 

Length

Max length4
Median length3
Mean length3.0967742
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row가평군
2nd row고양시
3rd row과천시
4th row광명시
5th row광주시

Common Values

ValueCountFrequency (%)
가평군 5
 
3.2%
고양시 5
 
3.2%
과천시 5
 
3.2%
광명시 5
 
3.2%
광주시 5
 
3.2%
구리시 5
 
3.2%
군포시 5
 
3.2%
김포시 5
 
3.2%
남양주시 5
 
3.2%
동두천시 5
 
3.2%
Other values (21) 105
67.7%

Length

2024-04-11T10:54:00.125885image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
가평군 5
 
3.2%
안양시 5
 
3.2%
하남시 5
 
3.2%
포천시 5
 
3.2%
평택시 5
 
3.2%
파주시 5
 
3.2%
이천시 5
 
3.2%
의정부시 5
 
3.2%
의왕시 5
 
3.2%
용인시 5
 
3.2%
Other values (21) 105
67.7%

합계(명)
Real number (ℝ)

HIGH CORRELATION 

Distinct108
Distinct (%)69.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean103.74839
Minimum8
Maximum311
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.5 KiB
2024-04-11T10:54:00.254007image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum8
5-th percentile21
Q149.5
median96
Q3147
95-th percentile227.2
Maximum311
Range303
Interquartile range (IQR)97.5

Descriptive statistics

Standard deviation65.80684
Coefficient of variation (CV)0.63429265
Kurtosis0.10300306
Mean103.74839
Median Absolute Deviation (MAD)47
Skewness0.77160111
Sum16081
Variance4330.5402
MonotonicityNot monotonic
2024-04-11T10:54:00.379734image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
52 4
 
2.6%
45 3
 
1.9%
96 3
 
1.9%
142 3
 
1.9%
167 3
 
1.9%
22 3
 
1.9%
21 3
 
1.9%
88 2
 
1.3%
79 2
 
1.3%
109 2
 
1.3%
Other values (98) 127
81.9%
ValueCountFrequency (%)
8 1
 
0.6%
11 2
1.3%
12 1
 
0.6%
13 1
 
0.6%
20 1
 
0.6%
21 3
1.9%
22 3
1.9%
24 2
1.3%
27 2
1.3%
28 1
 
0.6%
ValueCountFrequency (%)
311 1
0.6%
277 1
0.6%
272 2
1.3%
263 1
0.6%
252 1
0.6%
232 1
0.6%
230 1
0.6%
226 1
0.6%
222 1
0.6%
210 1
0.6%

심한장애(중증)수급자수(명)
Real number (ℝ)

HIGH CORRELATION 

Distinct84
Distinct (%)54.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean53.703226
Minimum4
Maximum187
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.5 KiB
2024-04-11T10:54:00.496012image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum4
5-th percentile10
Q126
median45
Q375
95-th percentile119.7
Maximum187
Range183
Interquartile range (IQR)49

Descriptive statistics

Standard deviation35.154423
Coefficient of variation (CV)0.65460542
Kurtosis0.86684258
Mean53.703226
Median Absolute Deviation (MAD)23
Skewness0.96090982
Sum8324
Variance1235.8334
MonotonicityNot monotonic
2024-04-11T10:54:00.633996image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
22 7
 
4.5%
12 6
 
3.9%
26 5
 
3.2%
62 4
 
2.6%
28 4
 
2.6%
78 4
 
2.6%
23 4
 
2.6%
29 3
 
1.9%
80 3
 
1.9%
32 3
 
1.9%
Other values (74) 112
72.3%
ValueCountFrequency (%)
4 1
 
0.6%
6 1
 
0.6%
7 1
 
0.6%
8 2
 
1.3%
9 2
 
1.3%
10 2
 
1.3%
12 6
3.9%
13 2
 
1.3%
14 1
 
0.6%
17 1
 
0.6%
ValueCountFrequency (%)
187 1
0.6%
154 1
0.6%
144 2
1.3%
134 1
0.6%
130 1
0.6%
128 1
0.6%
126 1
0.6%
117 1
0.6%
112 2
1.3%
111 1
0.6%

심한장애(경증)수급자수(명)
Real number (ℝ)

HIGH CORRELATION 

Distinct76
Distinct (%)49.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean42.225806
Minimum3
Maximum123
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.5 KiB
2024-04-11T10:54:00.810240image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3
5-th percentile10
Q118.5
median36
Q360
95-th percentile90
Maximum123
Range120
Interquartile range (IQR)41.5

Descriptive statistics

Standard deviation27.427247
Coefficient of variation (CV)0.64953755
Kurtosis-0.15745583
Mean42.225806
Median Absolute Deviation (MAD)19
Skewness0.75051833
Sum6545
Variance752.25388
MonotonicityNot monotonic
2024-04-11T10:54:01.165341image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
15 6
 
3.9%
17 5
 
3.2%
20 5
 
3.2%
37 4
 
2.6%
68 4
 
2.6%
90 4
 
2.6%
50 4
 
2.6%
36 4
 
2.6%
23 4
 
2.6%
13 4
 
2.6%
Other values (66) 111
71.6%
ValueCountFrequency (%)
3 1
 
0.6%
4 1
 
0.6%
5 3
1.9%
8 1
 
0.6%
9 1
 
0.6%
10 2
1.3%
11 3
1.9%
12 3
1.9%
13 4
2.6%
14 3
1.9%
ValueCountFrequency (%)
123 1
 
0.6%
114 1
 
0.6%
111 1
 
0.6%
108 1
 
0.6%
107 1
 
0.6%
105 1
 
0.6%
92 1
 
0.6%
90 4
2.6%
87 1
 
0.6%
86 1
 
0.6%

심하지않은장애(경증)수급자수(명)
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct24
Distinct (%)15.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.8193548
Minimum0
Maximum25
Zeros14
Zeros (%)9.0%
Negative0
Negative (%)0.0%
Memory size1.5 KiB
2024-04-11T10:54:01.331559image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q13
median7
Q312
95-th percentile18.3
Maximum25
Range25
Interquartile range (IQR)9

Descriptive statistics

Standard deviation5.8625722
Coefficient of variation (CV)0.7497514
Kurtosis-0.17912917
Mean7.8193548
Median Absolute Deviation (MAD)4
Skewness0.63850583
Sum1212
Variance34.369753
MonotonicityNot monotonic
2024-04-11T10:54:01.430954image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=24)
ValueCountFrequency (%)
5 15
 
9.7%
0 14
 
9.0%
12 11
 
7.1%
4 11
 
7.1%
10 11
 
7.1%
3 10
 
6.5%
2 10
 
6.5%
1 9
 
5.8%
11 9
 
5.8%
7 8
 
5.2%
Other values (14) 47
30.3%
ValueCountFrequency (%)
0 14
9.0%
1 9
5.8%
2 10
6.5%
3 10
6.5%
4 11
7.1%
5 15
9.7%
6 7
4.5%
7 8
5.2%
8 7
4.5%
9 1
 
0.6%
ValueCountFrequency (%)
25 2
 
1.3%
22 1
 
0.6%
21 2
 
1.3%
20 1
 
0.6%
19 2
 
1.3%
18 1
 
0.6%
17 5
3.2%
16 1
 
0.6%
15 6
3.9%
14 6
3.9%

해당없음수급자수(명)
Categorical

CONSTANT 

Distinct1
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
0
155 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 155
100.0%

Length

2024-04-11T10:54:01.529911image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-11T10:54:01.614779image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 155
100.0%

Interactions

2024-04-11T10:53:59.313130image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T10:53:58.183946image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T10:53:58.653941image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T10:53:58.965866image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T10:53:59.407438image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T10:53:58.306866image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T10:53:58.734527image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T10:53:59.038791image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T10:53:59.515319image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T10:53:58.503470image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T10:53:58.815049image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T10:53:59.122070image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T10:53:59.596068image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T10:53:58.578115image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T10:53:58.890498image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T10:53:59.214894image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-04-11T10:54:01.668263image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
기준년도시군명합계(명)심한장애(중증)수급자수(명)심한장애(경증)수급자수(명)심하지않은장애(경증)수급자수(명)
기준년도1.0000.0000.0000.0000.0000.000
시군명0.0001.0000.9440.9190.9310.841
합계(명)0.0000.9441.0000.9780.9560.869
심한장애(중증)수급자수(명)0.0000.9190.9781.0000.9220.825
심한장애(경증)수급자수(명)0.0000.9310.9560.9221.0000.858
심하지않은장애(경증)수급자수(명)0.0000.8410.8690.8250.8581.000
2024-04-11T10:54:01.760040image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
시군명기준년도
시군명1.0000.000
기준년도0.0001.000
2024-04-11T10:54:01.830287image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
합계(명)심한장애(중증)수급자수(명)심한장애(경증)수급자수(명)심하지않은장애(경증)수급자수(명)기준년도시군명
합계(명)1.0000.9800.9680.8540.0000.659
심한장애(중증)수급자수(명)0.9801.0000.9090.8090.0000.592
심한장애(경증)수급자수(명)0.9680.9091.0000.8170.0000.607
심하지않은장애(경증)수급자수(명)0.8540.8090.8171.0000.0230.417
기준년도0.0000.0000.0000.0231.0000.000
시군명0.6590.5920.6070.4170.0001.000

Missing values

2024-04-11T10:53:59.703794image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-04-11T10:53:59.809631image/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

기준년도시군명합계(명)심한장애(중증)수급자수(명)심한장애(경증)수급자수(명)심하지않은장애(경증)수급자수(명)해당없음수급자수(명)
02023가평군29121610
12023고양시21011186130
22023과천시84400
32023광명시52252340
42023광주시1086236100
52023구리시41221900
62023군포시63312930
72023김포시1155348140
82023남양주시1678666150
92023동두천시48222150
기준년도시군명합계(명)심한장애(중증)수급자수(명)심한장애(경증)수급자수(명)심하지않은장애(경증)수급자수(명)해당없음수급자수(명)
1452019오산시44261710
1462019용인시149984740
1472019의왕시2112900
1482019의정부시1649656120
1492019이천시52311560
1502019파주시119684470
1512019평택시1428050120
1522019포천시102623550
1532019하남시46251560
1542019화성시115654370