Overview

Dataset statistics

Number of variables9
Number of observations321
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory25.2 KiB
Average record size in memory80.4 B

Variable types

Numeric6
Categorical3

Dataset

Description장애정도별 장애인연금 대상자 수급자 집계
Author경기복지재단(경기도장애인복지종합지원센터)
URLhttps://data.gg.go.kr/portal/data/service/selectServicePage.do?&infId=WM38XN5FBCMYWB8P0K1Z25483606&infSeq=1

Alerts

기타대상자수(명) has constant value ""Constant
심하지않은장애수급자수(명) has constant value ""Constant
기준년도 is highly overall correlated with 심한장애(중증)대상자수(명) and 1 other fieldsHigh correlation
전체대상자수(명) is highly overall correlated with 전체수급자수(명) and 1 other fieldsHigh correlation
심한장애(중증)대상자수(명) is highly overall correlated with 기준년도 and 2 other fieldsHigh correlation
전체수급자수(명) is highly overall correlated with 전체대상자수(명) and 1 other fieldsHigh correlation
심한장애(중증)수급자수(명) is highly overall correlated with 기준년도 and 2 other fieldsHigh correlation
시군명 is highly overall correlated with 전체대상자수(명) and 3 other fieldsHigh correlation
심한장애(중증)대상자수(명) has 166 (51.7%) zerosZeros
심한장애(중증)수급자수(명) has 166 (51.7%) zerosZeros
기타수급자수(명) has 112 (34.9%) zerosZeros

Reproduction

Analysis started2024-03-12 23:35:56.237423
Analysis finished2024-03-12 23:35:59.150380
Duration2.91 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

기준년도
Real number (ℝ)

HIGH CORRELATION 

Distinct11
Distinct (%)3.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2018.215
Minimum2013
Maximum2023
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.0 KiB
2024-03-13T08:35:59.192029image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2013
5-th percentile2013
Q12015
median2018
Q32021
95-th percentile2023
Maximum2023
Range10
Interquartile range (IQR)6

Descriptive statistics

Standard deviation3.1165727
Coefficient of variation (CV)0.0015442224
Kurtosis-1.2048029
Mean2018.215
Median Absolute Deviation (MAD)3
Skewness-0.071108135
Sum647847
Variance9.7130257
MonotonicityDecreasing
2024-03-13T08:35:59.277313image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
2023 31
9.7%
2022 31
9.7%
2021 31
9.7%
2020 31
9.7%
2019 31
9.7%
2018 31
9.7%
2015 31
9.7%
2014 31
9.7%
2017 30
9.3%
2016 22
6.9%
ValueCountFrequency (%)
2013 21
6.5%
2014 31
9.7%
2015 31
9.7%
2016 22
6.9%
2017 30
9.3%
2018 31
9.7%
2019 31
9.7%
2020 31
9.7%
2021 31
9.7%
2022 31
9.7%
ValueCountFrequency (%)
2023 31
9.7%
2022 31
9.7%
2021 31
9.7%
2020 31
9.7%
2019 31
9.7%
2018 31
9.7%
2017 30
9.3%
2016 22
6.9%
2015 31
9.7%
2014 31
9.7%

시군명
Categorical

HIGH CORRELATION 

Distinct31
Distinct (%)9.7%
Missing0
Missing (%)0.0%
Memory size2.6 KiB
안성시
 
11
시흥시
 
11
성남시
 
11
연천군
 
11
부천시
 
11
Other values (26)
266 

Length

Max length4
Median length3
Mean length3.0965732
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
안성시 11
 
3.4%
시흥시 11
 
3.4%
성남시 11
 
3.4%
연천군 11
 
3.4%
부천시 11
 
3.4%
수원시 11
 
3.4%
동두천시 11
 
3.4%
안산시 11
 
3.4%
안양시 11
 
3.4%
양주시 11
 
3.4%
Other values (21) 211
65.7%

Length

2024-03-13T08:35:59.368546image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
안성시 11
 
3.4%
안산시 11
 
3.4%
시흥시 11
 
3.4%
여주시 11
 
3.4%
양주시 11
 
3.4%
안양시 11
 
3.4%
양평군 11
 
3.4%
동두천시 11
 
3.4%
수원시 11
 
3.4%
부천시 11
 
3.4%
Other values (21) 211
65.7%

전체대상자수(명)
Real number (ℝ)

HIGH CORRELATION 

Distinct314
Distinct (%)97.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3484.215
Minimum369
Maximum8667
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.0 KiB
2024-03-13T08:35:59.476194image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum369
5-th percentile679
Q11688
median2633
Q34607
95-th percentile7959
Maximum8667
Range8298
Interquartile range (IQR)2919

Descriptive statistics

Standard deviation2280.7845
Coefficient of variation (CV)0.65460499
Kurtosis-0.54737346
Mean3484.215
Median Absolute Deviation (MAD)1289
Skewness0.79034746
Sum1118433
Variance5201978
MonotonicityNot monotonic
2024-03-13T08:35:59.594709image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1561 2
 
0.6%
4078 2
 
0.6%
1528 2
 
0.6%
2248 2
 
0.6%
2190 2
 
0.6%
1612 2
 
0.6%
8461 2
 
0.6%
1234 1
 
0.3%
4007 1
 
0.3%
7134 1
 
0.3%
Other values (304) 304
94.7%
ValueCountFrequency (%)
369 1
0.3%
370 1
0.3%
385 1
0.3%
390 1
0.3%
394 1
0.3%
431 1
0.3%
432 1
0.3%
438 1
0.3%
447 1
0.3%
454 1
0.3%
ValueCountFrequency (%)
8667 1
0.3%
8583 1
0.3%
8544 1
0.3%
8507 1
0.3%
8480 1
0.3%
8479 1
0.3%
8461 2
0.6%
8455 1
0.3%
8425 1
0.3%
8417 1
0.3%

심한장애(중증)대상자수(명)
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct154
Distinct (%)48.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1725.729
Minimum0
Maximum8667
Zeros166
Zeros (%)51.7%
Negative0
Negative (%)0.0%
Memory size3.0 KiB
2024-03-13T08:35:59.720758image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q32511
95-th percentile7257
Maximum8667
Range8667
Interquartile range (IQR)2511

Descriptive statistics

Standard deviation2404.7092
Coefficient of variation (CV)1.3934454
Kurtosis0.90068881
Mean1725.729
Median Absolute Deviation (MAD)0
Skewness1.3839261
Sum553959
Variance5782626.2
MonotonicityNot monotonic
2024-03-13T08:35:59.837636image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 166
51.7%
2248 2
 
0.6%
8461 2
 
0.6%
1234 1
 
0.3%
2234 1
 
0.3%
5824 1
 
0.3%
1392 1
 
0.3%
7331 1
 
0.3%
7483 1
 
0.3%
3695 1
 
0.3%
Other values (144) 144
44.9%
ValueCountFrequency (%)
0 166
51.7%
369 1
 
0.3%
370 1
 
0.3%
394 1
 
0.3%
431 1
 
0.3%
432 1
 
0.3%
647 1
 
0.3%
648 1
 
0.3%
655 1
 
0.3%
672 1
 
0.3%
ValueCountFrequency (%)
8667 1
0.3%
8583 1
0.3%
8544 1
0.3%
8507 1
0.3%
8480 1
0.3%
8479 1
0.3%
8461 2
0.6%
8425 1
0.3%
8417 1
0.3%
7554 1
0.3%

기타대상자수(명)
Categorical

CONSTANT 

Distinct1
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size2.6 KiB
0
321 

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 (%)
0 321
100.0%

Length

2024-03-13T08:35:59.937323image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-13T08:36:00.009527image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 321
100.0%

전체수급자수(명)
Real number (ℝ)

HIGH CORRELATION 

Distinct306
Distinct (%)95.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2193.2212
Minimum157
Maximum5799
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.0 KiB
2024-03-13T08:36:00.089830image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum157
5-th percentile498
Q11116
median1619
Q32975
95-th percentile4975
Maximum5799
Range5642
Interquartile range (IQR)1859

Descriptive statistics

Standard deviation1412.5005
Coefficient of variation (CV)0.64403012
Kurtosis-0.26756699
Mean2193.2212
Median Absolute Deviation (MAD)719
Skewness0.86182127
Sum704024
Variance1995157.6
MonotonicityNot monotonic
2024-03-13T08:36:00.202263image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1025 3
 
0.9%
1029 2
 
0.6%
929 2
 
0.6%
1482 2
 
0.6%
1497 2
 
0.6%
1544 2
 
0.6%
1491 2
 
0.6%
488 2
 
0.6%
1585 2
 
0.6%
755 2
 
0.6%
Other values (296) 300
93.5%
ValueCountFrequency (%)
157 1
0.3%
184 1
0.3%
199 1
0.3%
213 1
0.3%
214 1
0.3%
219 1
0.3%
222 1
0.3%
223 1
0.3%
231 1
0.3%
232 1
0.3%
ValueCountFrequency (%)
5799 1
0.3%
5790 1
0.3%
5634 1
0.3%
5615 1
0.3%
5575 1
0.3%
5543 1
0.3%
5520 1
0.3%
5509 1
0.3%
5481 1
0.3%
5424 1
0.3%

심하지않은장애수급자수(명)
Categorical

CONSTANT 

Distinct1
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size2.6 KiB
0
321 

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 (%)
0 321
100.0%

Length

2024-03-13T08:36:00.301231image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-13T08:36:00.613356image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 321
100.0%

심한장애(중증)수급자수(명)
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct151
Distinct (%)47.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1125.3832
Minimum0
Maximum5790
Zeros166
Zeros (%)51.7%
Negative0
Negative (%)0.0%
Memory size3.0 KiB
2024-03-13T08:36:00.690290image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31698
95-th percentile4634
Maximum5790
Range5790
Interquartile range (IQR)1698

Descriptive statistics

Standard deviation1555.1771
Coefficient of variation (CV)1.381909
Kurtosis0.9678438
Mean1125.3832
Median Absolute Deviation (MAD)0
Skewness1.3821998
Sum361248
Variance2418575.8
MonotonicityNot monotonic
2024-03-13T08:36:00.795207image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 166
51.7%
4053 2
 
0.6%
1313 2
 
0.6%
498 2
 
0.6%
1584 2
 
0.6%
1046 2
 
0.6%
2335 1
 
0.3%
4039 1
 
0.3%
1043 1
 
0.3%
4869 1
 
0.3%
Other values (141) 141
43.9%
ValueCountFrequency (%)
0 166
51.7%
199 1
 
0.3%
212 1
 
0.3%
222 1
 
0.3%
230 1
 
0.3%
231 1
 
0.3%
480 1
 
0.3%
489 1
 
0.3%
498 2
 
0.6%
510 1
 
0.3%
ValueCountFrequency (%)
5790 1
0.3%
5782 1
0.3%
5631 1
0.3%
5609 1
0.3%
5571 1
0.3%
5536 1
0.3%
5518 1
0.3%
5508 1
0.3%
5479 1
0.3%
5419 1
0.3%

기타수급자수(명)
Real number (ℝ)

ZEROS 

Distinct18
Distinct (%)5.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.3489097
Minimum0
Maximum27
Zeros112
Zeros (%)34.9%
Negative0
Negative (%)0.0%
Memory size3.0 KiB
2024-03-13T08:36:00.889276image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q33
95-th percentile9
Maximum27
Range27
Interquartile range (IQR)3

Descriptive statistics

Standard deviation3.3367846
Coefficient of variation (CV)1.4205675
Kurtosis11.46252
Mean2.3489097
Median Absolute Deviation (MAD)1
Skewness2.7300854
Sum754
Variance11.134132
MonotonicityNot monotonic
2024-03-13T08:36:00.982203image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
0 112
34.9%
1 69
21.5%
2 45
14.0%
4 25
 
7.8%
3 18
 
5.6%
7 11
 
3.4%
5 9
 
2.8%
6 8
 
2.5%
9 6
 
1.9%
8 5
 
1.6%
Other values (8) 13
 
4.0%
ValueCountFrequency (%)
0 112
34.9%
1 69
21.5%
2 45
14.0%
3 18
 
5.6%
4 25
 
7.8%
5 9
 
2.8%
6 8
 
2.5%
7 11
 
3.4%
8 5
 
1.6%
9 6
 
1.9%
ValueCountFrequency (%)
27 1
 
0.3%
16 2
 
0.6%
15 1
 
0.3%
14 1
 
0.3%
13 2
 
0.6%
12 1
 
0.3%
11 1
 
0.3%
10 4
1.2%
9 6
1.9%
8 5
1.6%

Interactions

2024-03-13T08:35:58.534576image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T08:35:56.474610image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T08:35:56.881227image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T08:35:57.271870image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T08:35:57.711335image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T08:35:58.107378image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T08:35:58.602046image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T08:35:56.537229image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T08:35:56.940597image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T08:35:57.349483image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T08:35:57.777669image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T08:35:58.172116image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T08:35:58.678353image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T08:35:56.596152image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T08:35:57.000254image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T08:35:57.423487image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T08:35:57.840697image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T08:35:58.242837image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T08:35:58.747897image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T08:35:56.660011image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T08:35:57.059153image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T08:35:57.492608image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T08:35:57.905033image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T08:35:58.309335image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T08:35:58.817086image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T08:35:56.744431image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T08:35:57.124259image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T08:35:57.566357image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T08:35:57.974011image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T08:35:58.379544image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T08:35:58.884601image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T08:35:56.814806image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T08:35:57.190544image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T08:35:57.640749image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T08:35:58.040736image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T08:35:58.463913image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-03-13T08:36:01.049838image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
기준년도시군명전체대상자수(명)심한장애(중증)대상자수(명)전체수급자수(명)심한장애(중증)수급자수(명)기타수급자수(명)
기준년도1.0000.0000.0000.6840.0000.6890.373
시군명0.0001.0000.9770.8660.9450.8690.502
전체대상자수(명)0.0000.9771.0000.9230.9780.9100.246
심한장애(중증)대상자수(명)0.6840.8660.9231.0000.9090.9920.223
전체수급자수(명)0.0000.9450.9780.9091.0000.9360.333
심한장애(중증)수급자수(명)0.6890.8690.9100.9920.9361.0000.203
기타수급자수(명)0.3730.5020.2460.2230.3330.2031.000
2024-03-13T08:36:01.135590image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
기준년도전체대상자수(명)심한장애(중증)대상자수(명)전체수급자수(명)심한장애(중증)수급자수(명)기타수급자수(명)시군명
기준년도1.0000.0520.8110.1220.807-0.0860.000
전체대상자수(명)0.0521.0000.2950.9850.2930.4280.815
심한장애(중증)대상자수(명)0.8110.2951.0000.3470.9990.1390.512
전체수급자수(명)0.1220.9850.3471.0000.3490.3860.693
심한장애(중증)수급자수(명)0.8070.2930.9990.3491.0000.1400.517
기타수급자수(명)-0.0860.4280.1390.3860.1401.0000.225
시군명0.0000.8150.5120.6930.5170.2251.000

Missing values

2024-03-13T08:35:58.979232image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-13T08:35:59.101052image/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

기준년도시군명전체대상자수(명)심한장애(중증)대상자수(명)기타대상자수(명)전체수급자수(명)심하지않은장애수급자수(명)심한장애(중증)수급자수(명)기타수급자수(명)
02023가평군12341234097109710
12023고양시8479847905543055367
22023과천시432432023202311
32023광명시2441244101487014870
42023광주시3145314501977019707
52023구리시15281528094109410
62023군포시2170217001384013831
72023김포시3488348802022020175
82023남양주시5933593303972039648
92023동두천시13441344097709761
기준년도시군명전체대상자수(명)심한장애(중증)대상자수(명)기타대상자수(명)전체수급자수(명)심하지않은장애수급자수(명)심한장애(중증)수급자수(명)기타수급자수(명)
3112013성남시7621003733009
3122013수원시77050038900027
3132013시흥시2879001433002
3142013안산시5839003035004
3152013안성시2157001240002
3162013안양시40780020150016
3172013양주시2194001164009
3182013양평군1696001009001
3192013여주시152400898009
3202013연천군76200459000