Overview

Dataset statistics

Number of variables10
Number of observations217
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory19.0 KiB
Average record size in memory89.6 B

Variable types

Numeric7
Categorical3

Dataset

Description연령별 장애인연금 대상자 수급자 집계현황
Author경기복지재단(경기도장애인복지종합지원센터)
URLhttps://data.gg.go.kr/portal/data/service/selectServicePage.do?&infId=YQ1AMDGVFKWCFSF9OE1G25471715&infSeq=1

Alerts

기타대상자수(명) has constant value ""Constant
기타수급자수(명) has constant value ""Constant
전체대상자수(명) is highly overall correlated with 18세이상64세이하대상자수(18세~64세)(명) and 5 other fieldsHigh correlation
18세이상64세이하대상자수(18세~64세)(명) is highly overall correlated with 전체대상자수(명) and 5 other fieldsHigh correlation
65세이상대상자수(명) is highly overall correlated with 전체대상자수(명) and 5 other fieldsHigh correlation
전체수급자수(명) is highly overall correlated with 전체대상자수(명) and 5 other fieldsHigh correlation
18세이상64세이하수급자수(18세~64세)(명) is highly overall correlated with 전체대상자수(명) and 5 other fieldsHigh correlation
65세이상수급자수(명) is highly overall correlated with 전체대상자수(명) and 5 other fieldsHigh correlation
시군명 is highly overall correlated with 전체대상자수(명) and 5 other fieldsHigh correlation

Reproduction

Analysis started2024-03-12 23:13:35.695702
Analysis finished2024-03-12 23:13:39.747243
Duration4.05 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

기준년도
Real number (ℝ)

Distinct7
Distinct (%)3.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2020
Minimum2017
Maximum2023
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.0 KiB
2024-03-13T08:13:39.781634image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2017
5-th percentile2017
Q12018
median2020
Q32022
95-th percentile2023
Maximum2023
Range6
Interquartile range (IQR)4

Descriptive statistics

Standard deviation2.0046243
Coefficient of variation (CV)0.00099238826
Kurtosis-1.2511193
Mean2020
Median Absolute Deviation (MAD)2
Skewness0
Sum438340
Variance4.0185185
MonotonicityDecreasing
2024-03-13T08:13:39.862144image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
2023 31
14.3%
2022 31
14.3%
2021 31
14.3%
2020 31
14.3%
2019 31
14.3%
2018 31
14.3%
2017 31
14.3%
ValueCountFrequency (%)
2017 31
14.3%
2018 31
14.3%
2019 31
14.3%
2020 31
14.3%
2021 31
14.3%
2022 31
14.3%
2023 31
14.3%
ValueCountFrequency (%)
2023 31
14.3%
2022 31
14.3%
2021 31
14.3%
2020 31
14.3%
2019 31
14.3%
2018 31
14.3%
2017 31
14.3%

시군명
Categorical

HIGH CORRELATION 

Distinct31
Distinct (%)14.3%
Missing0
Missing (%)0.0%
Memory size1.8 KiB
가평군
 
7
고양시
 
7
과천시
 
7
광명시
 
7
광주시
 
7
Other values (26)
182 

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 7
 
3.2%
고양시 7
 
3.2%
과천시 7
 
3.2%
광명시 7
 
3.2%
광주시 7
 
3.2%
구리시 7
 
3.2%
군포시 7
 
3.2%
김포시 7
 
3.2%
남양주시 7
 
3.2%
동두천시 7
 
3.2%
Other values (21) 147
67.7%

Length

2024-03-13T08:13:39.955713image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
가평군 7
 
3.2%
안양시 7
 
3.2%
하남시 7
 
3.2%
포천시 7
 
3.2%
평택시 7
 
3.2%
파주시 7
 
3.2%
이천시 7
 
3.2%
의정부시 7
 
3.2%
의왕시 7
 
3.2%
용인시 7
 
3.2%
Other values (21) 147
67.7%

전체대상자수(명)
Real number (ℝ)

HIGH CORRELATION 

Distinct213
Distinct (%)98.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3550.5576
Minimum369
Maximum8667
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.0 KiB
2024-03-13T08:13:40.055206image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum369
5-th percentile674.4
Q11771
median2681
Q34755
95-th percentile8387.6
Maximum8667
Range8298
Interquartile range (IQR)2984

Descriptive statistics

Standard deviation2305.6469
Coefficient of variation (CV)0.64937601
Kurtosis-0.54899811
Mean3550.5576
Median Absolute Deviation (MAD)1309
Skewness0.76512228
Sum770471
Variance5316007.7
MonotonicityNot monotonic
2024-03-13T08:13:40.173531image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1828 2
 
0.9%
1612 2
 
0.9%
8461 2
 
0.9%
1579 2
 
0.9%
1234 1
 
0.5%
4138 1
 
0.5%
2443 1
 
0.5%
1815 1
 
0.5%
1573 1
 
0.5%
672 1
 
0.5%
Other values (203) 203
93.5%
ValueCountFrequency (%)
369 1
0.5%
370 1
0.5%
385 1
0.5%
390 1
0.5%
421 1
0.5%
431 1
0.5%
432 1
0.5%
647 1
0.5%
648 1
0.5%
669 1
0.5%
ValueCountFrequency (%)
8667 1
0.5%
8587 1
0.5%
8544 1
0.5%
8507 1
0.5%
8480 1
0.5%
8479 1
0.5%
8461 2
0.9%
8455 1
0.5%
8417 1
0.5%
8414 1
0.5%

18세이상64세이하대상자수(18세~64세)(명)
Real number (ℝ)

HIGH CORRELATION 

Distinct212
Distinct (%)97.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2239.8525
Minimum210
Maximum5467
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.0 KiB
2024-03-13T08:13:40.275955image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum210
5-th percentile368.6
Q11182
median1625
Q33078
95-th percentile5260.2
Maximum5467
Range5257
Interquartile range (IQR)1896

Descriptive statistics

Standard deviation1455.9189
Coefficient of variation (CV)0.65000658
Kurtosis-0.52739449
Mean2239.8525
Median Absolute Deviation (MAD)819
Skewness0.75319147
Sum486048
Variance2119699.8
MonotonicityNot monotonic
2024-03-13T08:13:40.380596image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
767 2
 
0.9%
1182 2
 
0.9%
1595 2
 
0.9%
1433 2
 
0.9%
4191 2
 
0.9%
2639 1
 
0.5%
2521 1
 
0.5%
1538 1
 
0.5%
1196 1
 
0.5%
1047 1
 
0.5%
Other values (202) 202
93.1%
ValueCountFrequency (%)
210 1
0.5%
212 1
0.5%
218 1
0.5%
219 1
0.5%
241 1
0.5%
249 1
0.5%
254 1
0.5%
326 1
0.5%
335 1
0.5%
345 1
0.5%
ValueCountFrequency (%)
5467 1
0.5%
5453 1
0.5%
5430 1
0.5%
5406 1
0.5%
5388 1
0.5%
5377 1
0.5%
5329 1
0.5%
5320 1
0.5%
5314 1
0.5%
5310 1
0.5%

65세이상대상자수(명)
Real number (ℝ)

HIGH CORRELATION 

Distinct208
Distinct (%)95.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1310.7051
Minimum158
Maximum3414
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.0 KiB
2024-03-13T08:13:40.498062image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum158
5-th percentile320
Q1608
median1019
Q31776
95-th percentile2993.8
Maximum3414
Range3256
Interquartile range (IQR)1168

Descriptive statistics

Standard deviation864.59511
Coefficient of variation (CV)0.65964123
Kurtosis-0.45142031
Mean1310.7051
Median Absolute Deviation (MAD)495
Skewness0.83478465
Sum284423
Variance747524.7
MonotonicityNot monotonic
2024-03-13T08:13:40.605826image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
467 2
 
0.9%
900 2
 
0.9%
324 2
 
0.9%
802 2
 
0.9%
771 2
 
0.9%
554 2
 
0.9%
1546 2
 
0.9%
299 2
 
0.9%
542 2
 
0.9%
1833 1
 
0.5%
Other values (198) 198
91.2%
ValueCountFrequency (%)
158 1
0.5%
159 1
0.5%
167 1
0.5%
171 1
0.5%
178 1
0.5%
180 1
0.5%
182 1
0.5%
299 2
0.9%
303 1
0.5%
312 1
0.5%
ValueCountFrequency (%)
3414 1
0.5%
3341 1
0.5%
3267 1
0.5%
3188 1
0.5%
3170 1
0.5%
3138 1
0.5%
3100 1
0.5%
3073 1
0.5%
3054 1
0.5%
3040 1
0.5%

기타대상자수(명)
Categorical

CONSTANT 

Distinct1
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size1.8 KiB
0
217 

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 (%)
0 217
100.0%

Length

2024-03-13T08:13:40.705168image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-13T08:13:40.774831image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 217
100.0%

전체수급자수(명)
Real number (ℝ)

HIGH CORRELATION 

Distinct209
Distinct (%)96.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2305.9724
Minimum199
Maximum5799
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.0 KiB
2024-03-13T08:13:40.853270image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum199
5-th percentile497.6
Q11154
median1763
Q33052
95-th percentile5386.8
Maximum5799
Range5600
Interquartile range (IQR)1898

Descriptive statistics

Standard deviation1466.6111
Coefficient of variation (CV)0.63600549
Kurtosis-0.40051917
Mean2305.9724
Median Absolute Deviation (MAD)776
Skewness0.80782377
Sum500396
Variance2150948.1
MonotonicityNot monotonic
2024-03-13T08:13:40.955760image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1025 3
 
1.4%
2550 2
 
0.9%
1544 2
 
0.9%
3191 2
 
0.9%
1079 2
 
0.9%
1585 2
 
0.9%
1564 2
 
0.9%
2975 1
 
0.5%
1653 1
 
0.5%
1301 1
 
0.5%
Other values (199) 199
91.7%
ValueCountFrequency (%)
199 1
0.5%
213 1
0.5%
214 1
0.5%
219 1
0.5%
231 1
0.5%
232 1
0.5%
234 1
0.5%
480 1
0.5%
488 1
0.5%
489 1
0.5%
ValueCountFrequency (%)
5799 1
0.5%
5754 1
0.5%
5634 1
0.5%
5615 1
0.5%
5543 1
0.5%
5532 1
0.5%
5520 1
0.5%
5509 1
0.5%
5481 1
0.5%
5424 1
0.5%

18세이상64세이하수급자수(18세~64세)(명)
Real number (ℝ)

HIGH CORRELATION 

Distinct213
Distinct (%)98.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1442.1889
Minimum123
Maximum3735
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.0 KiB
2024-03-13T08:13:41.055275image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum123
5-th percentile265.8
Q1765
median1077
Q31843
95-th percentile3367.4
Maximum3735
Range3612
Interquartile range (IQR)1078

Descriptive statistics

Standard deviation927.30187
Coefficient of variation (CV)0.64298224
Kurtosis-0.2911516
Mean1442.1889
Median Absolute Deviation (MAD)479
Skewness0.84414009
Sum312955
Variance859888.76
MonotonicityNot monotonic
2024-03-13T08:13:41.157774image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
635 2
 
0.9%
1528 2
 
0.9%
565 2
 
0.9%
1017 2
 
0.9%
1304 1
 
0.5%
2238 1
 
0.5%
954 1
 
0.5%
1556 1
 
0.5%
1001 1
 
0.5%
882 1
 
0.5%
Other values (203) 203
93.5%
ValueCountFrequency (%)
123 1
0.5%
125 1
0.5%
129 1
0.5%
132 1
0.5%
147 1
0.5%
148 1
0.5%
150 1
0.5%
250 1
0.5%
253 1
0.5%
256 1
0.5%
ValueCountFrequency (%)
3735 1
0.5%
3669 1
0.5%
3592 1
0.5%
3535 1
0.5%
3524 1
0.5%
3500 1
0.5%
3486 1
0.5%
3471 1
0.5%
3439 1
0.5%
3406 1
0.5%

65세이상수급자수(명)
Real number (ℝ)

HIGH CORRELATION 

Distinct200
Distinct (%)92.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean863.78341
Minimum76
Maximum2104
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.0 KiB
2024-03-13T08:13:41.270013image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum76
5-th percentile235.4
Q1416
median684
Q31203
95-th percentile1990
Maximum2104
Range2028
Interquartile range (IQR)787

Descriptive statistics

Standard deviation546.90246
Coefficient of variation (CV)0.63314768
Kurtosis-0.54031209
Mean863.78341
Median Absolute Deviation (MAD)317
Skewness0.76728699
Sum187441
Variance299102.3
MonotonicityNot monotonic
2024-03-13T08:13:41.374311image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1057 3
 
1.4%
367 3
 
1.4%
1253 2
 
0.9%
723 2
 
0.9%
387 2
 
0.9%
703 2
 
0.9%
463 2
 
0.9%
805 2
 
0.9%
1675 2
 
0.9%
378 2
 
0.9%
Other values (190) 195
89.9%
ValueCountFrequency (%)
76 1
0.5%
81 1
0.5%
82 1
0.5%
83 1
0.5%
85 1
0.5%
87 1
0.5%
94 1
0.5%
222 1
0.5%
227 1
0.5%
230 1
0.5%
ValueCountFrequency (%)
2104 1
0.5%
2099 1
0.5%
2085 1
0.5%
2064 1
0.5%
2057 1
0.5%
2048 1
0.5%
2046 1
0.5%
2023 1
0.5%
2020 1
0.5%
2019 1
0.5%

기타수급자수(명)
Categorical

CONSTANT 

Distinct1
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size1.8 KiB
0
217 

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 (%)
0 217
100.0%

Length

2024-03-13T08:13:41.468899image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-13T08:13:41.538548image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 217
100.0%

Interactions

2024-03-13T08:13:39.025757image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T08:13:35.941671image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T08:13:36.433060image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T08:13:36.885264image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T08:13:37.371154image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T08:13:37.871000image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T08:13:38.353093image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T08:13:39.111441image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T08:13:36.011294image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T08:13:36.498555image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T08:13:36.952340image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T08:13:37.447302image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T08:13:37.939520image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T08:13:38.423495image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T08:13:39.173822image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T08:13:36.076923image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T08:13:36.558707image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T08:13:37.010745image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T08:13:37.508680image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T08:13:37.999857image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T08:13:38.486176image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T08:13:39.242568image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T08:13:36.141616image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T08:13:36.625258image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T08:13:37.077781image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T08:13:37.579121image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T08:13:38.062017image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T08:13:38.549729image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T08:13:39.314354image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T08:13:36.214602image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T08:13:36.692407image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T08:13:37.145855image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T08:13:37.650630image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T08:13:38.137712image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T08:13:38.806992image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T08:13:39.384319image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T08:13:36.286714image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T08:13:36.753054image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T08:13:37.208962image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T08:13:37.726049image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T08:13:38.208369image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T08:13:38.881350image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T08:13:39.462115image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T08:13:36.358361image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T08:13:36.819754image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T08:13:37.289537image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T08:13:37.798325image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T08:13:38.275496image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T08:13:38.953417image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-03-13T08:13:41.593269image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
기준년도시군명전체대상자수(명)18세이상64세이하대상자수(18세~64세)(명)65세이상대상자수(명)전체수급자수(명)18세이상64세이하수급자수(18세~64세)(명)65세이상수급자수(명)
기준년도1.0000.0000.0000.0000.0000.0000.0000.000
시군명0.0001.0000.9870.9910.9630.9810.9740.977
전체대상자수(명)0.0000.9871.0000.9960.9570.9900.9780.977
18세이상64세이하대상자수(18세~64세)(명)0.0000.9910.9961.0000.9540.9900.9820.974
65세이상대상자수(명)0.0000.9630.9570.9541.0000.9540.9480.956
전체수급자수(명)0.0000.9810.9900.9900.9541.0000.9870.981
18세이상64세이하수급자수(18세~64세)(명)0.0000.9740.9780.9820.9480.9871.0000.961
65세이상수급자수(명)0.0000.9770.9770.9740.9560.9810.9611.000
2024-03-13T08:13:41.716632image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
기준년도전체대상자수(명)18세이상64세이하대상자수(18세~64세)(명)65세이상대상자수(명)전체수급자수(명)18세이상64세이하수급자수(18세~64세)(명)65세이상수급자수(명)시군명
기준년도1.0000.021-0.0210.0740.0140.026-0.0140.000
전체대상자수(명)0.0211.0000.9950.9890.9930.9880.9830.856
18세이상64세이하대상자수(18세~64세)(명)-0.0210.9951.0000.9740.9920.9920.9770.877
65세이상대상자수(명)0.0740.9890.9741.0000.9800.9690.9860.742
전체수급자수(명)0.0140.9930.9920.9801.0000.9960.9860.820
18세이상64세이하수급자수(18세~64세)(명)0.0260.9880.9920.9690.9961.0000.9720.787
65세이상수급자수(명)-0.0140.9830.9770.9860.9860.9721.0000.801
시군명0.0000.8560.8770.7420.8200.7870.8011.000

Missing values

2024-03-13T08:13:39.586606image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-13T08:13:39.699238image/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)18세이상64세이하대상자수(18세~64세)(명)65세이상대상자수(명)기타대상자수(명)전체수급자수(명)18세이상64세이하수급자수(18세~64세)(명)65세이상수급자수(명)기타수급자수(명)
02023가평군123476746709716353360
12023고양시84795138334105543352420190
22023과천시4322541780232150820
32023광명시244113931048014878856020
42023광주시3145200011450197713046730
52023구리시152890662209415973440
62023군포시21701283887013848475370
72023김포시3488200714810202212277950
82023남양주시59333479245403972235016220
92023동두천시134476757709775524250
기준년도시군명전체대상자수(명)18세이상64세이하대상자수(18세~64세)(명)65세이상대상자수(명)기타대상자수(명)전체수급자수(명)18세이상64세이하수급자수(18세~64세)(명)65세이상수급자수(명)기타수급자수(명)
2072017오산시16881203485010857363490
2082017용인시67103928278203810212016900
2092017의왕시105661444206973913060
2102017의정부시42362606163002816162011960
2112017이천시227915787010151010045060
2122017파주시40072568143902642160810340
2132017평택시41842753143102658165310050
2142017포천시20651376689014919605310
2152017하남시17881111677010796634160
2162017화성시44802909157102754165810960