Overview

Dataset statistics

Number of variables33
Number of observations117
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory33.8 KiB
Average record size in memory296.1 B

Variable types

Numeric31
Categorical2

Dataset

Description산재보험장애급여 장애정도별 수급 집계현황
Author경기복지재단(경기도장애인복지종합지원센터)
URLhttps://data.gg.go.kr/portal/data/service/selectServicePage.do?&infId=2MPBCJWCCJIQ8SZWMZ7S26275580&infSeq=1

Alerts

전체수급자수(명) has 6 (5.1%) zerosZeros
전체금액(백만원) has 6 (5.1%) zerosZeros
1급수급자수(명) has 12 (10.3%) zerosZeros
1급금액(백만원) has 17 (14.5%) zerosZeros
2급수급자수(명) has 15 (12.8%) zerosZeros
2급금액(백만원) has 19 (16.2%) zerosZeros
3급수급자수(명) has 10 (8.5%) zerosZeros
3급금액(백만원) has 10 (8.5%) zerosZeros
4급수급자수(명) has 29 (24.8%) zerosZeros
4급금액(백만원) has 31 (26.5%) zerosZeros
5급수급자수(명) has 8 (6.8%) zerosZeros
5급금액(백만원) has 9 (7.7%) zerosZeros
6급수급자수(명) has 8 (6.8%) zerosZeros
6급금액(백만원) has 8 (6.8%) zerosZeros
7급수급자수(명) has 6 (5.1%) zerosZeros
7급금액(백만원) has 6 (5.1%) zerosZeros
8급수급자수(명) has 6 (5.1%) zerosZeros
8급금액(백만원) has 6 (5.1%) zerosZeros
9급수급자수(명) has 7 (6.0%) zerosZeros
9급금액(백만원) has 7 (6.0%) zerosZeros
10급수급자수(명) has 6 (5.1%) zerosZeros
10급금액(백만원) has 6 (5.1%) zerosZeros
11급수급자수(명) has 6 (5.1%) zerosZeros
11급금액(백만원) has 6 (5.1%) zerosZeros
12급수급자수(명) has 6 (5.1%) zerosZeros
12급금액(백만원) has 6 (5.1%) zerosZeros
13급수급자수(명) has 6 (5.1%) zerosZeros
13급금액(백만원) has 6 (5.1%) zerosZeros
14급수급자수(명) has 6 (5.1%) zerosZeros
14급금액(백만원) has 6 (5.1%) zerosZeros

Reproduction

Analysis started2024-03-12 23:00:18.787997
Analysis finished2024-03-12 23:00:19.009573
Duration0.22 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

기준년도
Real number (ℝ)

Distinct12
Distinct (%)10.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2017.9744
Minimum2012
Maximum2023
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.2 KiB
2024-03-13T08:00:19.059016image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2012
5-th percentile2012
Q12015
median2018
Q32021
95-th percentile2023
Maximum2023
Range11
Interquartile range (IQR)6

Descriptive statistics

Standard deviation3.4477917
Coefficient of variation (CV)0.0017085409
Kurtosis-1.1658758
Mean2017.9744
Median Absolute Deviation (MAD)3
Skewness-0.16797175
Sum236103
Variance11.887268
MonotonicityDecreasing
2024-03-13T08:00:19.152149image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
2023 12
10.3%
2022 12
10.3%
2021 11
9.4%
2020 10
8.5%
2019 10
8.5%
2018 10
8.5%
2017 10
8.5%
2016 10
8.5%
2015 8
6.8%
2014 8
6.8%
Other values (2) 16
13.7%
ValueCountFrequency (%)
2012 8
6.8%
2013 8
6.8%
2014 8
6.8%
2015 8
6.8%
2016 10
8.5%
2017 10
8.5%
2018 10
8.5%
2019 10
8.5%
2020 10
8.5%
2021 11
9.4%
ValueCountFrequency (%)
2023 12
10.3%
2022 12
10.3%
2021 11
9.4%
2020 10
8.5%
2019 10
8.5%
2018 10
8.5%
2017 10
8.5%
2016 10
8.5%
2015 8
6.8%
2014 8
6.8%

지사명
Categorical

Distinct12
Distinct (%)10.3%
Missing0
Missing (%)0.0%
Memory size1.0 KiB
고양지사
12 
부천지사
12 
성남지사
12 
수원지사
12 
안산지사
12 
Other values (7)
57 

Length

Max length5
Median length4
Mean length4.1282051
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row고양지사
2nd row남양주지사
3rd row부천지사
4th row성남지사
5th row수원지사

Common Values

ValueCountFrequency (%)
고양지사 12
10.3%
부천지사 12
10.3%
성남지사 12
10.3%
수원지사 12
10.3%
안산지사 12
10.3%
안양지사 12
10.3%
의정부지사 12
10.3%
평택지사 12
10.3%
용인지사 8
6.8%
화성지사 8
6.8%
Other values (2) 5
4.3%

Length

2024-03-13T08:00:19.283706image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
고양지사 12
10.3%
부천지사 12
10.3%
성남지사 12
10.3%
수원지사 12
10.3%
안산지사 12
10.3%
안양지사 12
10.3%
의정부지사 12
10.3%
평택지사 12
10.3%
용인지사 8
6.8%
화성지사 8
6.8%
Other values (2) 5
4.3%

관할지역정보
Categorical

Distinct23
Distinct (%)19.7%
Missing0
Missing (%)0.0%
Memory size1.0 KiB
부천시, 김포시
12 
안산시, 시흥시
12 
광명시, 안양시, 과천시, 의왕시, 군포시
12 
파주시, 고양시
10 
오산시, 평택시, 안성시
10 
Other values (18)
61 

Length

Max length45
Median length36
Mean length14.478632
Min length2

Unique

Unique4 ?
Unique (%)3.4%

Sample

1st row고양시
2nd row남양주시,구리시
3rd row부천시, 김포시
4th row성남시, 하남시, 광주시, 양평군
5th row수원시

Common Values

ValueCountFrequency (%)
부천시, 김포시 12
 
10.3%
안산시, 시흥시 12
 
10.3%
광명시, 안양시, 과천시, 의왕시, 군포시 12
 
10.3%
파주시, 고양시 10
 
8.5%
오산시, 평택시, 안성시 10
 
8.5%
성남시, 하남시, 광주시, 양평군 8
 
6.8%
의정부시, 동두천시, 구리시, 남양주시, 양주시, 연천군, 포천시, 강원도 철원시 8
 
6.8%
용인,이천,여주 5
 
4.3%
수원시 4
 
3.4%
남양주시,구리시 4
 
3.4%
Other values (13) 32
27.4%

Length

2024-03-13T08:00:19.412435image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
부천시 12
 
3.2%
안성시 12
 
3.2%
화성시 12
 
3.2%
수원시 12
 
3.2%
포천시 12
 
3.2%
연천군 12
 
3.2%
양주시 12
 
3.2%
동두천시 12
 
3.2%
김포시 12
 
3.2%
양평군 12
 
3.2%
Other values (27) 251
67.7%

전체수급자수(명)
Real number (ℝ)

ZEROS 

Distinct108
Distinct (%)92.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1206.0855
Minimum0
Maximum3464
Zeros6
Zeros (%)5.1%
Negative0
Negative (%)0.0%
Memory size1.2 KiB
2024-03-13T08:00:19.536589image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile72.8
Q1683
median955
Q31617
95-th percentile2828.6
Maximum3464
Range3464
Interquartile range (IQR)934

Descriptive statistics

Standard deviation777.93037
Coefficient of variation (CV)0.64500435
Kurtosis0.074240942
Mean1206.0855
Median Absolute Deviation (MAD)382
Skewness0.83514704
Sum141112
Variance605175.67
MonotonicityNot monotonic
2024-03-13T08:00:19.686701image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 6
 
5.1%
849 2
 
1.7%
846 2
 
1.7%
654 2
 
1.7%
748 2
 
1.7%
2364 1
 
0.9%
2875 1
 
0.9%
2311 1
 
0.9%
2299 1
 
0.9%
1975 1
 
0.9%
Other values (98) 98
83.8%
ValueCountFrequency (%)
0 6
5.1%
91 1
 
0.9%
277 1
 
0.9%
416 1
 
0.9%
421 1
 
0.9%
449 1
 
0.9%
453 1
 
0.9%
461 1
 
0.9%
475 1
 
0.9%
501 1
 
0.9%
ValueCountFrequency (%)
3464 1
0.9%
3081 1
0.9%
3027 1
0.9%
3013 1
0.9%
2891 1
0.9%
2875 1
0.9%
2817 1
0.9%
2689 1
0.9%
2428 1
0.9%
2411 1
0.9%

전체금액(백만원)
Real number (ℝ)

ZEROS 

Distinct112
Distinct (%)95.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean19236.496
Minimum0
Maximum61757
Zeros6
Zeros (%)5.1%
Negative0
Negative (%)0.0%
Memory size1.2 KiB
2024-03-13T08:00:19.874940image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1178.4
Q19841
median14824
Q323104
95-th percentile45689.4
Maximum61757
Range61757
Interquartile range (IQR)13263

Descriptive statistics

Standard deviation13874.178
Coefficient of variation (CV)0.7212425
Kurtosis0.26248633
Mean19236.496
Median Absolute Deviation (MAD)5752
Skewness1.0475735
Sum2250670
Variance1.9249282 × 108
MonotonicityNot monotonic
2024-03-13T08:00:20.036664image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 6
 
5.1%
11879 1
 
0.9%
7062 1
 
0.9%
42959 1
 
0.9%
40378 1
 
0.9%
32618 1
 
0.9%
22129 1
 
0.9%
7395 1
 
0.9%
19043 1
 
0.9%
9630 1
 
0.9%
Other values (102) 102
87.2%
ValueCountFrequency (%)
0 6
5.1%
1473 1
 
0.9%
4776 1
 
0.9%
5355 1
 
0.9%
5696 1
 
0.9%
7062 1
 
0.9%
7112 1
 
0.9%
7230 1
 
0.9%
7267 1
 
0.9%
7375 1
 
0.9%
ValueCountFrequency (%)
61757 1
0.9%
53649 1
0.9%
51573 1
0.9%
50686 1
0.9%
49388 1
0.9%
46891 1
0.9%
45389 1
0.9%
45224 1
0.9%
44590 1
0.9%
43701 1
0.9%

1급수급자수(명)
Real number (ℝ)

ZEROS 

Distinct44
Distinct (%)37.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean23.675214
Minimum0
Maximum152
Zeros12
Zeros (%)10.3%
Negative0
Negative (%)0.0%
Memory size1.2 KiB
2024-03-13T08:00:20.179853image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q13
median6
Q326
95-th percentile124.4
Maximum152
Range152
Interquartile range (IQR)23

Descriptive statistics

Standard deviation37.038151
Coefficient of variation (CV)1.5644273
Kurtosis3.6628877
Mean23.675214
Median Absolute Deviation (MAD)5
Skewness2.0769446
Sum2770
Variance1371.8246
MonotonicityNot monotonic
2024-03-13T08:00:20.316759image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=44)
ValueCountFrequency (%)
0 12
 
10.3%
3 12
 
10.3%
1 9
 
7.7%
5 8
 
6.8%
2 8
 
6.8%
4 7
 
6.0%
6 6
 
5.1%
7 5
 
4.3%
12 4
 
3.4%
10 3
 
2.6%
Other values (34) 43
36.8%
ValueCountFrequency (%)
0 12
10.3%
1 9
7.7%
2 8
6.8%
3 12
10.3%
4 7
6.0%
5 8
6.8%
6 6
5.1%
7 5
4.3%
8 1
 
0.9%
9 2
 
1.7%
ValueCountFrequency (%)
152 1
0.9%
147 1
0.9%
143 1
0.9%
142 1
0.9%
137 1
0.9%
126 1
0.9%
124 1
0.9%
110 1
0.9%
77 1
0.9%
73 1
0.9%

1급금액(백만원)
Real number (ℝ)

ZEROS 

Distinct90
Distinct (%)76.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean843.06838
Minimum0
Maximum6203
Zeros17
Zeros (%)14.5%
Negative0
Negative (%)0.0%
Memory size1.2 KiB
2024-03-13T08:00:20.430076image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q144
median139
Q31031
95-th percentile4147.4
Maximum6203
Range6203
Interquartile range (IQR)987

Descriptive statistics

Standard deviation1436.3598
Coefficient of variation (CV)1.7037287
Kurtosis3.6576452
Mean843.06838
Median Absolute Deviation (MAD)137
Skewness2.0660685
Sum98639
Variance2063129.4
MonotonicityNot monotonic
2024-03-13T08:00:20.544867image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 17
 
14.5%
3 3
 
2.6%
82 3
 
2.6%
108 3
 
2.6%
36 2
 
1.7%
54 2
 
1.7%
7 2
 
1.7%
81 2
 
1.7%
223 2
 
1.7%
2474 1
 
0.9%
Other values (80) 80
68.4%
ValueCountFrequency (%)
0 17
14.5%
2 1
 
0.9%
3 3
 
2.6%
7 2
 
1.7%
11 1
 
0.9%
19 1
 
0.9%
21 1
 
0.9%
30 1
 
0.9%
36 2
 
1.7%
44 1
 
0.9%
ValueCountFrequency (%)
6203 1
0.9%
5907 1
0.9%
5453 1
0.9%
5182 1
0.9%
4996 1
0.9%
4309 1
0.9%
4107 1
0.9%
3980 1
0.9%
3624 1
0.9%
3384 1
0.9%

2급수급자수(명)
Real number (ℝ)

ZEROS 

Distinct41
Distinct (%)35.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean28.068376
Minimum0
Maximum176
Zeros15
Zeros (%)12.8%
Negative0
Negative (%)0.0%
Memory size1.2 KiB
2024-03-13T08:00:20.650304image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12
median5
Q334
95-th percentile121.2
Maximum176
Range176
Interquartile range (IQR)32

Descriptive statistics

Standard deviation44.87679
Coefficient of variation (CV)1.5988381
Kurtosis2.1601771
Mean28.068376
Median Absolute Deviation (MAD)4
Skewness1.7574268
Sum3284
Variance2013.9263
MonotonicityNot monotonic
2024-03-13T08:00:20.761275image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=41)
ValueCountFrequency (%)
0 15
12.8%
3 12
 
10.3%
1 12
 
10.3%
2 9
 
7.7%
6 8
 
6.8%
5 8
 
6.8%
7 5
 
4.3%
4 4
 
3.4%
8 4
 
3.4%
11 3
 
2.6%
Other values (31) 37
31.6%
ValueCountFrequency (%)
0 15
12.8%
1 12
10.3%
2 9
7.7%
3 12
10.3%
4 4
 
3.4%
5 8
6.8%
6 8
6.8%
7 5
 
4.3%
8 4
 
3.4%
9 2
 
1.7%
ValueCountFrequency (%)
176 1
0.9%
172 1
0.9%
170 1
0.9%
167 1
0.9%
132 1
0.9%
122 1
0.9%
121 1
0.9%
117 1
0.9%
114 2
1.7%
110 1
0.9%

2급금액(백만원)
Real number (ℝ)

ZEROS 

Distinct87
Distinct (%)74.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean817.63248
Minimum0
Maximum5490
Zeros19
Zeros (%)16.2%
Negative0
Negative (%)0.0%
Memory size1.2 KiB
2024-03-13T08:00:20.874650image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q115
median67
Q3955
95-th percentile3662
Maximum5490
Range5490
Interquartile range (IQR)940

Descriptive statistics

Standard deviation1388.6199
Coefficient of variation (CV)1.6983424
Kurtosis1.9284191
Mean817.63248
Median Absolute Deviation (MAD)67
Skewness1.7155757
Sum95663
Variance1928265.3
MonotonicityNot monotonic
2024-03-13T08:00:20.996048image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 19
 
16.2%
7 3
 
2.6%
15 3
 
2.6%
6 2
 
1.7%
18 2
 
1.7%
12 2
 
1.7%
154 2
 
1.7%
50 2
 
1.7%
42 2
 
1.7%
52 2
 
1.7%
Other values (77) 78
66.7%
ValueCountFrequency (%)
0 19
16.2%
2 1
 
0.9%
6 2
 
1.7%
7 3
 
2.6%
9 1
 
0.9%
12 2
 
1.7%
15 3
 
2.6%
17 1
 
0.9%
18 2
 
1.7%
19 1
 
0.9%
ValueCountFrequency (%)
5490 1
0.9%
5178 1
0.9%
5013 1
0.9%
4977 1
0.9%
3937 1
0.9%
3898 1
0.9%
3603 1
0.9%
3513 1
0.9%
3502 1
0.9%
3476 1
0.9%

3급수급자수(명)
Real number (ℝ)

ZEROS 

Distinct42
Distinct (%)35.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean26.683761
Minimum0
Maximum130
Zeros10
Zeros (%)8.5%
Negative0
Negative (%)0.0%
Memory size1.2 KiB
2024-03-13T08:00:21.113275image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q13
median5
Q338
95-th percentile118
Maximum130
Range130
Interquartile range (IQR)35

Descriptive statistics

Standard deviation40.080017
Coefficient of variation (CV)1.5020378
Kurtosis0.55313514
Mean26.683761
Median Absolute Deviation (MAD)4
Skewness1.4652934
Sum3122
Variance1606.4078
MonotonicityNot monotonic
2024-03-13T08:00:21.247742image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=42)
ValueCountFrequency (%)
3 18
15.4%
4 14
 
12.0%
0 10
 
8.5%
1 9
 
7.7%
6 7
 
6.0%
2 7
 
6.0%
5 5
 
4.3%
11 4
 
3.4%
52 3
 
2.6%
100 3
 
2.6%
Other values (32) 37
31.6%
ValueCountFrequency (%)
0 10
8.5%
1 9
7.7%
2 7
 
6.0%
3 18
15.4%
4 14
12.0%
5 5
 
4.3%
6 7
 
6.0%
7 1
 
0.9%
8 1
 
0.9%
9 2
 
1.7%
ValueCountFrequency (%)
130 1
0.9%
124 1
0.9%
123 1
0.9%
119 2
1.7%
118 2
1.7%
115 1
0.9%
110 1
0.9%
108 1
0.9%
107 1
0.9%
101 1
0.9%

3급금액(백만원)
Real number (ℝ)

ZEROS 

Distinct94
Distinct (%)80.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean697.95726
Minimum0
Maximum3452
Zeros10
Zeros (%)8.5%
Negative0
Negative (%)0.0%
Memory size1.2 KiB
2024-03-13T08:00:21.366779image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q134
median107
Q3921
95-th percentile3142.2
Maximum3452
Range3452
Interquartile range (IQR)887

Descriptive statistics

Standard deviation1108.3466
Coefficient of variation (CV)1.5879864
Kurtosis0.58975405
Mean697.95726
Median Absolute Deviation (MAD)98
Skewness1.4915893
Sum81661
Variance1228432.2
MonotonicityNot monotonic
2024-03-13T08:00:21.483670image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 10
 
8.5%
63 5
 
4.3%
41 3
 
2.6%
6 3
 
2.6%
165 2
 
1.7%
50 2
 
1.7%
7 2
 
1.7%
132 2
 
1.7%
52 2
 
1.7%
67 2
 
1.7%
Other values (84) 84
71.8%
ValueCountFrequency (%)
0 10
8.5%
2 1
 
0.9%
4 1
 
0.9%
5 1
 
0.9%
6 3
 
2.6%
7 2
 
1.7%
8 1
 
0.9%
9 1
 
0.9%
10 1
 
0.9%
13 1
 
0.9%
ValueCountFrequency (%)
3452 1
0.9%
3318 1
0.9%
3257 1
0.9%
3204 1
0.9%
3203 1
0.9%
3175 1
0.9%
3134 1
0.9%
3130 1
0.9%
3098 1
0.9%
3094 1
0.9%

4급수급자수(명)
Real number (ℝ)

ZEROS 

Distinct26
Distinct (%)22.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean15.512821
Minimum0
Maximum74
Zeros29
Zeros (%)24.8%
Negative0
Negative (%)0.0%
Memory size1.2 KiB
2024-03-13T08:00:21.596158image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median2
Q325
95-th percentile63.2
Maximum74
Range74
Interquartile range (IQR)24

Descriptive statistics

Standard deviation24.132042
Coefficient of variation (CV)1.5556192
Kurtosis0.0042446514
Mean15.512821
Median Absolute Deviation (MAD)2
Skewness1.3176681
Sum1815
Variance582.35544
MonotonicityNot monotonic
2024-03-13T08:00:21.689548image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=26)
ValueCountFrequency (%)
0 29
24.8%
2 19
16.2%
1 15
12.8%
3 10
 
8.5%
62 6
 
5.1%
4 6
 
5.1%
53 6
 
5.1%
5 4
 
3.4%
61 2
 
1.7%
25 2
 
1.7%
Other values (16) 18
15.4%
ValueCountFrequency (%)
0 29
24.8%
1 15
12.8%
2 19
16.2%
3 10
 
8.5%
4 6
 
5.1%
5 4
 
3.4%
6 2
 
1.7%
23 1
 
0.9%
24 1
 
0.9%
25 2
 
1.7%
ValueCountFrequency (%)
74 1
 
0.9%
72 1
 
0.9%
71 1
 
0.9%
68 1
 
0.9%
67 1
 
0.9%
64 1
 
0.9%
63 1
 
0.9%
62 6
5.1%
61 2
 
1.7%
58 1
 
0.9%

4급금액(백만원)
Real number (ℝ)

ZEROS 

Distinct77
Distinct (%)65.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean390.08547
Minimum0
Maximum2021
Zeros31
Zeros (%)26.5%
Negative0
Negative (%)0.0%
Memory size1.2 KiB
2024-03-13T08:00:21.799376image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median37
Q3679
95-th percentile1660.6
Maximum2021
Range2021
Interquartile range (IQR)679

Descriptive statistics

Standard deviation616.48114
Coefficient of variation (CV)1.5803745
Kurtosis0.15686501
Mean390.08547
Median Absolute Deviation (MAD)37
Skewness1.3406569
Sum45640
Variance380048.99
MonotonicityNot monotonic
2024-03-13T08:00:21.924015image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 31
26.5%
16 4
 
3.4%
6 2
 
1.7%
17 2
 
1.7%
4 2
 
1.7%
117 2
 
1.7%
9 2
 
1.7%
37 2
 
1.7%
127 2
 
1.7%
1299 1
 
0.9%
Other values (67) 67
57.3%
ValueCountFrequency (%)
0 31
26.5%
3 1
 
0.9%
4 2
 
1.7%
6 2
 
1.7%
7 1
 
0.9%
9 2
 
1.7%
11 1
 
0.9%
14 1
 
0.9%
16 4
 
3.4%
17 2
 
1.7%
ValueCountFrequency (%)
2021 1
0.9%
1930 1
0.9%
1897 1
0.9%
1755 1
0.9%
1676 1
0.9%
1663 1
0.9%
1660 1
0.9%
1643 1
0.9%
1613 1
0.9%
1596 1
0.9%

5급수급자수(명)
Real number (ℝ)

ZEROS 

Distinct46
Distinct (%)39.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean56.128205
Minimum0
Maximum287
Zeros8
Zeros (%)6.8%
Negative0
Negative (%)0.0%
Memory size1.2 KiB
2024-03-13T08:00:22.305281image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q16
median10
Q3100
95-th percentile226.2
Maximum287
Range287
Interquartile range (IQR)94

Descriptive statistics

Standard deviation84.695452
Coefficient of variation (CV)1.5089642
Kurtosis0.56411791
Mean56.128205
Median Absolute Deviation (MAD)6
Skewness1.4407025
Sum6567
Variance7173.3196
MonotonicityNot monotonic
2024-03-13T08:00:22.409207image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=46)
ValueCountFrequency (%)
7 10
 
8.5%
8 10
 
8.5%
0 8
 
6.8%
12 7
 
6.0%
4 7
 
6.0%
5 6
 
5.1%
9 6
 
5.1%
3 5
 
4.3%
6 4
 
3.4%
10 3
 
2.6%
Other values (36) 51
43.6%
ValueCountFrequency (%)
0 8
6.8%
2 2
 
1.7%
3 5
4.3%
4 7
6.0%
5 6
5.1%
6 4
 
3.4%
7 10
8.5%
8 10
8.5%
9 6
5.1%
10 3
 
2.6%
ValueCountFrequency (%)
287 1
 
0.9%
284 1
 
0.9%
274 2
1.7%
238 1
 
0.9%
227 1
 
0.9%
226 1
 
0.9%
222 3
2.6%
219 3
2.6%
217 2
1.7%
216 1
 
0.9%

5급금액(백만원)
Real number (ℝ)

ZEROS 

Distinct101
Distinct (%)86.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1177.5726
Minimum0
Maximum6687
Zeros9
Zeros (%)7.7%
Negative0
Negative (%)0.0%
Memory size1.2 KiB
2024-03-13T08:00:22.511636image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q194
median177
Q31934
95-th percentile4882.8
Maximum6687
Range6687
Interquartile range (IQR)1840

Descriptive statistics

Standard deviation1849.2862
Coefficient of variation (CV)1.5704221
Kurtosis0.9942724
Mean1177.5726
Median Absolute Deviation (MAD)128
Skewness1.5340064
Sum137776
Variance3419859.3
MonotonicityNot monotonic
2024-03-13T08:00:22.617063image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 9
 
7.7%
144 3
 
2.6%
309 2
 
1.7%
100 2
 
1.7%
94 2
 
1.7%
126 2
 
1.7%
95 2
 
1.7%
29 2
 
1.7%
2057 1
 
0.9%
2230 1
 
0.9%
Other values (91) 91
77.8%
ValueCountFrequency (%)
0 9
7.7%
16 1
 
0.9%
24 1
 
0.9%
29 2
 
1.7%
34 1
 
0.9%
35 1
 
0.9%
43 1
 
0.9%
49 1
 
0.9%
53 1
 
0.9%
54 1
 
0.9%
ValueCountFrequency (%)
6687 1
0.9%
6520 1
0.9%
6457 1
0.9%
5975 1
0.9%
4939 1
0.9%
4914 1
0.9%
4875 1
0.9%
4861 1
0.9%
4839 1
0.9%
4811 1
0.9%

6급수급자수(명)
Real number (ℝ)

ZEROS 

Distinct46
Distinct (%)39.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean97.555556
Minimum0
Maximum610
Zeros8
Zeros (%)6.8%
Negative0
Negative (%)0.0%
Memory size1.2 KiB
2024-03-13T08:00:22.732245image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q15
median10
Q3183
95-th percentile464.6
Maximum610
Range610
Interquartile range (IQR)178

Descriptive statistics

Standard deviation161.28078
Coefficient of variation (CV)1.6532199
Kurtosis1.906349
Mean97.555556
Median Absolute Deviation (MAD)7
Skewness1.6853974
Sum11414
Variance26011.49
MonotonicityNot monotonic
2024-03-13T08:00:22.863831image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=46)
ValueCountFrequency (%)
8 10
 
8.5%
0 8
 
6.8%
5 7
 
6.0%
4 7
 
6.0%
11 7
 
6.0%
6 6
 
5.1%
7 6
 
5.1%
2 5
 
4.3%
10 5
 
4.3%
3 4
 
3.4%
Other values (36) 52
44.4%
ValueCountFrequency (%)
0 8
6.8%
1 1
 
0.9%
2 5
4.3%
3 4
 
3.4%
4 7
6.0%
5 7
6.0%
6 6
5.1%
7 6
5.1%
8 10
8.5%
9 3
 
2.6%
ValueCountFrequency (%)
610 1
0.9%
604 2
1.7%
596 1
0.9%
467 2
1.7%
464 1
0.9%
460 1
0.9%
338 1
0.9%
332 1
0.9%
331 1
0.9%
324 1
0.9%

6급금액(백만원)
Real number (ℝ)

ZEROS 

Distinct105
Distinct (%)89.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1825.2308
Minimum0
Maximum11952
Zeros8
Zeros (%)6.8%
Negative0
Negative (%)0.0%
Memory size1.2 KiB
2024-03-13T08:00:22.998531image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q187
median228
Q33147
95-th percentile8678.6
Maximum11952
Range11952
Interquartile range (IQR)3060

Descriptive statistics

Standard deviation3001.0103
Coefficient of variation (CV)1.6441813
Kurtosis2.4419141
Mean1825.2308
Median Absolute Deviation (MAD)191
Skewness1.7909556
Sum213552
Variance9006062.8
MonotonicityNot monotonic
2024-03-13T08:00:23.112398image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 8
 
6.8%
56 2
 
1.7%
130 2
 
1.7%
119 2
 
1.7%
248 2
 
1.7%
174 2
 
1.7%
4880 1
 
0.9%
19 1
 
0.9%
3275 1
 
0.9%
6527 1
 
0.9%
Other values (95) 95
81.2%
ValueCountFrequency (%)
0 8
6.8%
1 1
 
0.9%
2 1
 
0.9%
9 1
 
0.9%
19 1
 
0.9%
22 1
 
0.9%
25 1
 
0.9%
31 1
 
0.9%
35 1
 
0.9%
37 1
 
0.9%
ValueCountFrequency (%)
11952 1
0.9%
11783 1
0.9%
11614 1
0.9%
10915 1
0.9%
8736 1
0.9%
8725 1
0.9%
8667 1
0.9%
8620 1
0.9%
6527 1
0.9%
6478 1
0.9%

7급수급자수(명)
Real number (ℝ)

ZEROS 

Distinct66
Distinct (%)56.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean107.38462
Minimum0
Maximum546
Zeros6
Zeros (%)5.1%
Negative0
Negative (%)0.0%
Memory size1.2 KiB
2024-03-13T08:00:23.223258image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1.6
Q115
median24
Q3165
95-th percentile525.4
Maximum546
Range546
Interquartile range (IQR)150

Descriptive statistics

Standard deviation157.02887
Coefficient of variation (CV)1.4623032
Kurtosis1.383333
Mean107.38462
Median Absolute Deviation (MAD)13
Skewness1.6081317
Sum12564
Variance24658.066
MonotonicityNot monotonic
2024-03-13T08:00:23.327819image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
23 6
 
5.1%
18 6
 
5.1%
0 6
 
5.1%
10 5
 
4.3%
24 5
 
4.3%
12 4
 
3.4%
21 4
 
3.4%
22 4
 
3.4%
38 3
 
2.6%
19 3
 
2.6%
Other values (56) 71
60.7%
ValueCountFrequency (%)
0 6
5.1%
2 1
 
0.9%
4 1
 
0.9%
8 2
 
1.7%
9 1
 
0.9%
10 5
4.3%
11 3
2.6%
12 4
3.4%
13 3
2.6%
14 2
 
1.7%
ValueCountFrequency (%)
546 1
0.9%
537 1
0.9%
536 1
0.9%
534 1
0.9%
531 2
1.7%
524 1
0.9%
510 1
0.9%
372 1
0.9%
365 1
0.9%
345 1
0.9%

7급금액(백만원)
Real number (ℝ)

ZEROS 

Distinct110
Distinct (%)94.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1729.9829
Minimum0
Maximum9143
Zeros6
Zeros (%)5.1%
Negative0
Negative (%)0.0%
Memory size1.2 KiB
2024-03-13T08:00:23.431822image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile49.6
Q1251
median526
Q32464
95-th percentile8079.4
Maximum9143
Range9143
Interquartile range (IQR)2213

Descriptive statistics

Standard deviation2432.1112
Coefficient of variation (CV)1.4058585
Kurtosis1.9031613
Mean1729.9829
Median Absolute Deviation (MAD)331
Skewness1.7099202
Sum202408
Variance5915165.1
MonotonicityNot monotonic
2024-03-13T08:00:23.533448image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 6
 
5.1%
4199 2
 
1.7%
636 2
 
1.7%
191 1
 
0.9%
4248 1
 
0.9%
5098 1
 
0.9%
2464 1
 
0.9%
250 1
 
0.9%
805 1
 
0.9%
251 1
 
0.9%
Other values (100) 100
85.5%
ValueCountFrequency (%)
0 6
5.1%
62 1
 
0.9%
71 1
 
0.9%
78 1
 
0.9%
108 1
 
0.9%
114 1
 
0.9%
133 1
 
0.9%
137 1
 
0.9%
138 1
 
0.9%
151 1
 
0.9%
ValueCountFrequency (%)
9143 1
0.9%
8815 1
0.9%
8671 1
0.9%
8658 1
0.9%
8474 1
0.9%
8433 1
0.9%
7991 1
0.9%
7944 1
0.9%
5804 1
0.9%
5710 1
0.9%

8급수급자수(명)
Real number (ℝ)

ZEROS 

Distinct50
Distinct (%)42.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean29.521368
Minimum0
Maximum92
Zeros6
Zeros (%)5.1%
Negative0
Negative (%)0.0%
Memory size1.2 KiB
2024-03-13T08:00:23.633561image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1.6
Q119
median27
Q340
95-th percentile54.6
Maximum92
Range92
Interquartile range (IQR)21

Descriptive statistics

Standard deviation16.047665
Coefficient of variation (CV)0.54359491
Kurtosis1.0844219
Mean29.521368
Median Absolute Deviation (MAD)10
Skewness0.59300831
Sum3454
Variance257.52756
MonotonicityNot monotonic
2024-03-13T08:00:23.733462image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
27 7
 
6.0%
0 6
 
5.1%
21 6
 
5.1%
46 5
 
4.3%
18 4
 
3.4%
40 4
 
3.4%
20 4
 
3.4%
24 4
 
3.4%
25 3
 
2.6%
39 3
 
2.6%
Other values (40) 71
60.7%
ValueCountFrequency (%)
0 6
5.1%
2 1
 
0.9%
7 1
 
0.9%
8 2
 
1.7%
10 1
 
0.9%
11 1
 
0.9%
12 2
 
1.7%
13 2
 
1.7%
14 2
 
1.7%
16 2
 
1.7%
ValueCountFrequency (%)
92 1
0.9%
67 1
0.9%
64 1
0.9%
59 1
0.9%
57 2
1.7%
54 2
1.7%
53 1
0.9%
52 2
1.7%
51 2
1.7%
49 2
1.7%

8급금액(백만원)
Real number (ℝ)

ZEROS 

Distinct108
Distinct (%)92.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1311.0769
Minimum0
Maximum3787
Zeros6
Zeros (%)5.1%
Negative0
Negative (%)0.0%
Memory size1.2 KiB
2024-03-13T08:00:23.832283image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile62.4
Q1904
median1230
Q31672
95-th percentile2593.4
Maximum3787
Range3787
Interquartile range (IQR)768

Descriptive statistics

Standard deviation703.65244
Coefficient of variation (CV)0.53669806
Kurtosis1.0833726
Mean1311.0769
Median Absolute Deviation (MAD)394
Skewness0.66809089
Sum153396
Variance495126.76
MonotonicityNot monotonic
2024-03-13T08:00:23.937602image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 6
 
5.1%
904 2
 
1.7%
1854 2
 
1.7%
1711 2
 
1.7%
1672 2
 
1.7%
1143 1
 
0.9%
971 1
 
0.9%
1522 1
 
0.9%
2253 1
 
0.9%
1050 1
 
0.9%
Other values (98) 98
83.8%
ValueCountFrequency (%)
0 6
5.1%
78 1
 
0.9%
387 1
 
0.9%
414 1
 
0.9%
422 1
 
0.9%
440 1
 
0.9%
451 1
 
0.9%
484 1
 
0.9%
642 1
 
0.9%
690 1
 
0.9%
ValueCountFrequency (%)
3787 1
0.9%
3191 1
0.9%
3029 1
0.9%
2985 1
0.9%
2874 1
0.9%
2619 1
0.9%
2587 1
0.9%
2453 1
0.9%
2394 1
0.9%
2367 1
0.9%

9급수급자수(명)
Real number (ℝ)

ZEROS 

Distinct51
Distinct (%)43.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean31.034188
Minimum0
Maximum130
Zeros7
Zeros (%)6.0%
Negative0
Negative (%)0.0%
Memory size1.2 KiB
2024-03-13T08:00:24.049147image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q119
median27
Q340
95-th percentile59.2
Maximum130
Range130
Interquartile range (IQR)21

Descriptive statistics

Standard deviation19.532878
Coefficient of variation (CV)0.6293987
Kurtosis4.969572
Mean31.034188
Median Absolute Deviation (MAD)9
Skewness1.4835941
Sum3631
Variance381.5333
MonotonicityNot monotonic
2024-03-13T08:00:24.157614image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
19 8
 
6.8%
0 7
 
6.0%
24 7
 
6.0%
27 5
 
4.3%
31 5
 
4.3%
25 4
 
3.4%
28 4
 
3.4%
18 4
 
3.4%
32 4
 
3.4%
35 3
 
2.6%
Other values (41) 66
56.4%
ValueCountFrequency (%)
0 7
6.0%
3 1
 
0.9%
7 1
 
0.9%
10 1
 
0.9%
11 2
 
1.7%
12 2
 
1.7%
13 2
 
1.7%
16 2
 
1.7%
17 3
2.6%
18 4
3.4%
ValueCountFrequency (%)
130 1
 
0.9%
84 1
 
0.9%
76 1
 
0.9%
75 1
 
0.9%
69 1
 
0.9%
64 1
 
0.9%
58 2
1.7%
57 2
1.7%
56 1
 
0.9%
55 3
2.6%

9급금액(백만원)
Real number (ℝ)

ZEROS 

Distinct107
Distinct (%)91.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1103.8376
Minimum0
Maximum3804
Zeros7
Zeros (%)6.0%
Negative0
Negative (%)0.0%
Memory size1.2 KiB
2024-03-13T08:00:24.291751image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q1746
median1009
Q31464
95-th percentile2127.6
Maximum3804
Range3804
Interquartile range (IQR)718

Descriptive statistics

Standard deviation621.5585
Coefficient of variation (CV)0.56308871
Kurtosis2.353869
Mean1103.8376
Median Absolute Deviation (MAD)336
Skewness0.88738153
Sum129149
Variance386334.96
MonotonicityNot monotonic
2024-03-13T08:00:24.430300image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 7
 
6.0%
1009 2
 
1.7%
1080 2
 
1.7%
671 2
 
1.7%
1634 2
 
1.7%
819 1
 
0.9%
573 1
 
0.9%
1053 1
 
0.9%
356 1
 
0.9%
625 1
 
0.9%
Other values (97) 97
82.9%
ValueCountFrequency (%)
0 7
6.0%
160 1
 
0.9%
323 1
 
0.9%
343 1
 
0.9%
356 1
 
0.9%
384 1
 
0.9%
391 1
 
0.9%
438 1
 
0.9%
441 1
 
0.9%
522 1
 
0.9%
ValueCountFrequency (%)
3804 1
0.9%
2618 1
0.9%
2583 1
0.9%
2464 1
0.9%
2136 1
0.9%
2130 1
0.9%
2127 1
0.9%
2118 1
0.9%
2102 1
0.9%
1902 1
0.9%

10급수급자수(명)
Real number (ℝ)

ZEROS 

Distinct74
Distinct (%)63.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean72.837607
Minimum0
Maximum238
Zeros6
Zeros (%)5.1%
Negative0
Negative (%)0.0%
Memory size1.2 KiB
2024-03-13T08:00:24.545152image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile6.4
Q146
median65
Q3100
95-th percentile131.6
Maximum238
Range238
Interquartile range (IQR)54

Descriptive statistics

Standard deviation40.876382
Coefficient of variation (CV)0.56119886
Kurtosis2.5211927
Mean72.837607
Median Absolute Deviation (MAD)23
Skewness0.9998737
Sum8522
Variance1670.8786
MonotonicityNot monotonic
2024-03-13T08:00:24.648962image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
50 7
 
6.0%
0 6
 
5.1%
51 3
 
2.6%
41 3
 
2.6%
38 3
 
2.6%
100 3
 
2.6%
57 3
 
2.6%
68 3
 
2.6%
44 3
 
2.6%
92 2
 
1.7%
Other values (64) 81
69.2%
ValueCountFrequency (%)
0 6
5.1%
8 1
 
0.9%
23 1
 
0.9%
28 1
 
0.9%
29 1
 
0.9%
31 1
 
0.9%
32 1
 
0.9%
37 1
 
0.9%
38 3
2.6%
40 1
 
0.9%
ValueCountFrequency (%)
238 1
0.9%
226 1
0.9%
154 1
0.9%
142 1
0.9%
139 1
0.9%
134 1
0.9%
131 1
0.9%
129 1
0.9%
128 1
0.9%
127 1
0.9%

10급금액(백만원)
Real number (ℝ)

ZEROS 

Distinct111
Distinct (%)94.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2062.9402
Minimum0
Maximum5879
Zeros6
Zeros (%)5.1%
Negative0
Negative (%)0.0%
Memory size1.2 KiB
2024-03-13T08:00:24.749623image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile213.6
Q11404
median1916
Q32793
95-th percentile3762
Maximum5879
Range5879
Interquartile range (IQR)1389

Descriptive statistics

Standard deviation1050.7894
Coefficient of variation (CV)0.50936493
Kurtosis1.2799513
Mean2062.9402
Median Absolute Deviation (MAD)692
Skewness0.60183288
Sum241364
Variance1104158.3
MonotonicityNot monotonic
2024-03-13T08:00:24.855409image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 6
 
5.1%
1299 2
 
1.7%
1877 1
 
0.9%
1792 1
 
0.9%
2615 1
 
0.9%
1492 1
 
0.9%
1956 1
 
0.9%
1224 1
 
0.9%
976 1
 
0.9%
2823 1
 
0.9%
Other values (101) 101
86.3%
ValueCountFrequency (%)
0 6
5.1%
267 1
 
0.9%
803 1
 
0.9%
816 1
 
0.9%
858 1
 
0.9%
937 1
 
0.9%
976 1
 
0.9%
978 1
 
0.9%
1052 1
 
0.9%
1059 1
 
0.9%
ValueCountFrequency (%)
5879 1
0.9%
5258 1
0.9%
4479 1
0.9%
4381 1
0.9%
3927 1
0.9%
3778 1
0.9%
3758 1
0.9%
3683 1
0.9%
3643 1
0.9%
3434 1
0.9%

11급수급자수(명)
Real number (ℝ)

ZEROS 

Distinct80
Distinct (%)68.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean98.367521
Minimum0
Maximum307
Zeros6
Zeros (%)5.1%
Negative0
Negative (%)0.0%
Memory size1.2 KiB
2024-03-13T08:00:24.958655image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile8.8
Q164
median90
Q3127
95-th percentile183.6
Maximum307
Range307
Interquartile range (IQR)63

Descriptive statistics

Standard deviation55.64955
Coefficient of variation (CV)0.56573093
Kurtosis3.2523227
Mean98.367521
Median Absolute Deviation (MAD)31
Skewness1.2722225
Sum11509
Variance3096.8724
MonotonicityNot monotonic
2024-03-13T08:00:25.314169image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 6
 
5.1%
133 4
 
3.4%
110 3
 
2.6%
131 3
 
2.6%
78 3
 
2.6%
83 3
 
2.6%
43 3
 
2.6%
97 3
 
2.6%
107 3
 
2.6%
64 2
 
1.7%
Other values (70) 84
71.8%
ValueCountFrequency (%)
0 6
5.1%
11 1
 
0.9%
39 2
 
1.7%
41 1
 
0.9%
43 3
2.6%
50 1
 
0.9%
52 1
 
0.9%
53 2
 
1.7%
54 1
 
0.9%
55 1
 
0.9%
ValueCountFrequency (%)
307 2
1.7%
271 1
0.9%
257 1
0.9%
223 1
0.9%
218 1
0.9%
175 1
0.9%
173 1
0.9%
171 1
0.9%
166 1
0.9%
164 1
0.9%

11급금액(백만원)
Real number (ℝ)

ZEROS 

Distinct112
Distinct (%)95.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1992.5641
Minimum0
Maximum4520
Zeros6
Zeros (%)5.1%
Negative0
Negative (%)0.0%
Memory size1.2 KiB
2024-03-13T08:00:25.425496image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile187.2
Q11443
median1917
Q32520
95-th percentile3684
Maximum4520
Range4520
Interquartile range (IQR)1077

Descriptive statistics

Standard deviation918.46935
Coefficient of variation (CV)0.46094846
Kurtosis0.3205202
Mean1992.5641
Median Absolute Deviation (MAD)493
Skewness0.18972909
Sum233130
Variance843585.95
MonotonicityNot monotonic
2024-03-13T08:00:25.530275image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 6
 
5.1%
1807 1
 
0.9%
1203 1
 
0.9%
2889 1
 
0.9%
1815 1
 
0.9%
1850 1
 
0.9%
1375 1
 
0.9%
1112 1
 
0.9%
2905 1
 
0.9%
1781 1
 
0.9%
Other values (102) 102
87.2%
ValueCountFrequency (%)
0 6
5.1%
234 1
 
0.9%
776 1
 
0.9%
841 1
 
0.9%
849 1
 
0.9%
958 1
 
0.9%
1033 1
 
0.9%
1107 1
 
0.9%
1112 1
 
0.9%
1174 1
 
0.9%
ValueCountFrequency (%)
4520 1
0.9%
4012 1
0.9%
3840 1
0.9%
3804 1
0.9%
3793 1
0.9%
3760 1
0.9%
3665 1
0.9%
3582 1
0.9%
3569 1
0.9%
3540 1
0.9%

12급수급자수(명)
Real number (ℝ)

ZEROS 

Distinct92
Distinct (%)78.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean165.70085
Minimum0
Maximum453
Zeros6
Zeros (%)5.1%
Negative0
Negative (%)0.0%
Memory size1.2 KiB
2024-03-13T08:00:25.636162image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile11.2
Q1102
median158
Q3228
95-th percentile325.8
Maximum453
Range453
Interquartile range (IQR)126

Descriptive statistics

Standard deviation91.458042
Coefficient of variation (CV)0.55194672
Kurtosis-0.004835212
Mean165.70085
Median Absolute Deviation (MAD)60
Skewness0.42645437
Sum19387
Variance8364.5735
MonotonicityNot monotonic
2024-03-13T08:00:25.740392image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 6
 
5.1%
127 3
 
2.6%
124 3
 
2.6%
194 2
 
1.7%
174 2
 
1.7%
190 2
 
1.7%
192 2
 
1.7%
89 2
 
1.7%
87 2
 
1.7%
195 2
 
1.7%
Other values (82) 91
77.8%
ValueCountFrequency (%)
0 6
5.1%
14 1
 
0.9%
44 1
 
0.9%
45 1
 
0.9%
51 1
 
0.9%
57 1
 
0.9%
60 2
 
1.7%
65 1
 
0.9%
68 2
 
1.7%
72 1
 
0.9%
ValueCountFrequency (%)
453 1
0.9%
382 1
0.9%
335 1
0.9%
333 2
1.7%
329 1
0.9%
325 1
0.9%
320 1
0.9%
319 1
0.9%
316 1
0.9%
312 1
0.9%

12급금액(백만원)
Real number (ℝ)

ZEROS 

Distinct109
Distinct (%)93.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2458.2393
Minimum0
Maximum5555
Zeros6
Zeros (%)5.1%
Negative0
Negative (%)0.0%
Memory size1.2 KiB
2024-03-13T08:00:25.843421image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile197.6
Q11706
median2351
Q33314
95-th percentile4415.2
Maximum5555
Range5555
Interquartile range (IQR)1608

Descriptive statistics

Standard deviation1155.0574
Coefficient of variation (CV)0.46987183
Kurtosis-0.15353201
Mean2458.2393
Median Absolute Deviation (MAD)765
Skewness-0.079813945
Sum287614
Variance1334157.6
MonotonicityNot monotonic
2024-03-13T08:00:25.946966image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 6
 
5.1%
3108 2
 
1.7%
2192 2
 
1.7%
2031 2
 
1.7%
2351 1
 
0.9%
1706 1
 
0.9%
3654 1
 
0.9%
3331 1
 
0.9%
4104 1
 
0.9%
2174 1
 
0.9%
Other values (99) 99
84.6%
ValueCountFrequency (%)
0 6
5.1%
247 1
 
0.9%
663 1
 
0.9%
744 1
 
0.9%
798 1
 
0.9%
895 1
 
0.9%
962 1
 
0.9%
1095 1
 
0.9%
1146 1
 
0.9%
1165 1
 
0.9%
ValueCountFrequency (%)
5555 1
0.9%
4734 1
0.9%
4549 1
0.9%
4496 1
0.9%
4494 1
0.9%
4452 1
0.9%
4406 1
0.9%
4119 1
0.9%
4104 1
0.9%
4096 1
0.9%

13급수급자수(명)
Real number (ℝ)

ZEROS 

Distinct70
Distinct (%)59.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean72.08547
Minimum0
Maximum249
Zeros6
Zeros (%)5.1%
Negative0
Negative (%)0.0%
Memory size1.2 KiB
2024-03-13T08:00:26.055291image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2.4
Q143
median59
Q388
95-th percentile158.8
Maximum249
Range249
Interquartile range (IQR)45

Descriptive statistics

Standard deviation46.559116
Coefficient of variation (CV)0.64588766
Kurtosis2.6082028
Mean72.08547
Median Absolute Deviation (MAD)19
Skewness1.4056935
Sum8434
Variance2167.7513
MonotonicityNot monotonic
2024-03-13T08:00:26.160226image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 6
 
5.1%
53 5
 
4.3%
49 4
 
3.4%
42 4
 
3.4%
41 3
 
2.6%
37 3
 
2.6%
52 3
 
2.6%
71 3
 
2.6%
58 3
 
2.6%
44 3
 
2.6%
Other values (60) 80
68.4%
ValueCountFrequency (%)
0 6
5.1%
3 1
 
0.9%
17 1
 
0.9%
29 1
 
0.9%
32 1
 
0.9%
33 1
 
0.9%
36 2
 
1.7%
37 3
2.6%
38 2
 
1.7%
40 3
2.6%
ValueCountFrequency (%)
249 1
0.9%
225 1
0.9%
221 1
0.9%
201 1
0.9%
172 1
0.9%
162 1
0.9%
158 1
0.9%
149 1
0.9%
148 1
0.9%
141 1
0.9%

13급금액(백만원)
Real number (ℝ)

ZEROS 

Distinct108
Distinct (%)92.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean709.00855
Minimum0
Maximum2456
Zeros6
Zeros (%)5.1%
Negative0
Negative (%)0.0%
Memory size1.2 KiB
2024-03-13T08:00:26.269194image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile19.2
Q1484
median603
Q3874
95-th percentile1526
Maximum2456
Range2456
Interquartile range (IQR)390

Descriptive statistics

Standard deviation423.95855
Coefficient of variation (CV)0.59795972
Kurtosis3.1542058
Mean709.00855
Median Absolute Deviation (MAD)177
Skewness1.3992065
Sum82954
Variance179740.85
MonotonicityNot monotonic
2024-03-13T08:00:26.378325image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 6
 
5.1%
604 2
 
1.7%
639 2
 
1.7%
496 2
 
1.7%
617 2
 
1.7%
592 1
 
0.9%
466 1
 
0.9%
2456 1
 
0.9%
484 1
 
0.9%
1214 1
 
0.9%
Other values (98) 98
83.8%
ValueCountFrequency (%)
0 6
5.1%
24 1
 
0.9%
208 1
 
0.9%
314 1
 
0.9%
325 1
 
0.9%
342 1
 
0.9%
344 1
 
0.9%
345 1
 
0.9%
359 1
 
0.9%
360 1
 
0.9%
ValueCountFrequency (%)
2456 1
0.9%
2108 1
0.9%
1910 1
0.9%
1812 1
0.9%
1776 1
0.9%
1546 1
0.9%
1521 1
0.9%
1489 1
0.9%
1420 1
0.9%
1378 1
0.9%

14급수급자수(명)
Real number (ℝ)

ZEROS 

Distinct99
Distinct (%)84.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean366.97436
Minimum0
Maximum1197
Zeros6
Zeros (%)5.1%
Negative0
Negative (%)0.0%
Memory size1.2 KiB
2024-03-13T08:00:26.512767image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile40
Q1238
median339
Q3458
95-th percentile609.8
Maximum1197
Range1197
Interquartile range (IQR)220

Descriptive statistics

Standard deviation205.87574
Coefficient of variation (CV)0.5610085
Kurtosis4.7292371
Mean366.97436
Median Absolute Deviation (MAD)112
Skewness1.4863265
Sum42936
Variance42384.818
MonotonicityNot monotonic
2024-03-13T08:00:26.634385image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 6
 
5.1%
430 3
 
2.6%
321 3
 
2.6%
522 2
 
1.7%
393 2
 
1.7%
458 2
 
1.7%
196 2
 
1.7%
305 2
 
1.7%
297 2
 
1.7%
486 2
 
1.7%
Other values (89) 91
77.8%
ValueCountFrequency (%)
0 6
5.1%
50 1
 
0.9%
126 1
 
0.9%
156 1
 
0.9%
174 1
 
0.9%
175 2
 
1.7%
179 1
 
0.9%
182 1
 
0.9%
186 1
 
0.9%
196 2
 
1.7%
ValueCountFrequency (%)
1197 1
0.9%
1175 1
0.9%
1134 1
0.9%
920 1
0.9%
798 1
0.9%
657 1
0.9%
598 1
0.9%
597 1
0.9%
594 1
0.9%
573 1
0.9%

14급금액(백만원)
Real number (ℝ)

ZEROS 

Distinct110
Distinct (%)94.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2116
Minimum0
Maximum8455
Zeros6
Zeros (%)5.1%
Negative0
Negative (%)0.0%
Memory size1.2 KiB
2024-03-13T08:00:26.756494image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile262.4
Q11231
median1974
Q32638
95-th percentile4099.4
Maximum8455
Range8455
Interquartile range (IQR)1407

Descriptive statistics

Standard deviation1389.791
Coefficient of variation (CV)0.65680105
Kurtosis6.8013278
Mean2116
Median Absolute Deviation (MAD)691
Skewness2.0239976
Sum247572
Variance1931519.1
MonotonicityNot monotonic
2024-03-13T08:00:26.880290image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 6
 
5.1%
1986 2
 
1.7%
2578 2
 
1.7%
1146 1
 
0.9%
2456 1
 
0.9%
1604 1
 
0.9%
915 1
 
0.9%
974 1
 
0.9%
2665 1
 
0.9%
1466 1
 
0.9%
Other values (100) 100
85.5%
ValueCountFrequency (%)
0 6
5.1%
328 1
 
0.9%
716 1
 
0.9%
815 1
 
0.9%
834 1
 
0.9%
836 1
 
0.9%
837 1
 
0.9%
844 1
 
0.9%
857 1
 
0.9%
915 1
 
0.9%
ValueCountFrequency (%)
8455 1
0.9%
7809 1
0.9%
7623 1
0.9%
5790 1
0.9%
4760 1
0.9%
4225 1
0.9%
4068 1
0.9%
3905 1
0.9%
3661 1
0.9%
3630 1
0.9%

Sample

기준년도지사명관할지역정보전체수급자수(명)전체금액(백만원)1급수급자수(명)1급금액(백만원)2급수급자수(명)2급금액(백만원)3급수급자수(명)3급금액(백만원)4급수급자수(명)4급금액(백만원)5급수급자수(명)5급금액(백만원)6급수급자수(명)6급금액(백만원)7급수급자수(명)7급금액(백만원)8급수급자수(명)8급금액(백만원)9급수급자수(명)9급금액(백만원)10급수급자수(명)10급금액(백만원)11급수급자수(명)11급금액(백만원)12급수급자수(명)12급금액(백만원)13급수급자수(명)13급금액(백만원)14급수급자수(명)14급금액(백만원)
02023고양지사고양시607118794120364116001025123723595261776188195118776818071222351415292381637
12023남양주지사남양주시,구리시5791080028216145004728491102471812982410342910526419331122251333812761909
22023부천지사부천시, 김포시12022097947233643217778198342663646287427115794336612735401713299799805984068
32023성남지사성남시, 하남시, 광주시, 양평군105419629914113312617021271212210471236015937873918847127939224101202245486615633905
42023수원지사수원시8351572600252374579714413530234874025872410808432686818851021876405534293112
52023안산지사안산시, 시흥시19673020871702941414103121271859128789542985502618110438113335692304494139177611978455
62023안양지사광명시, 안양시, 과천시, 의왕시, 군포시8961570451491152872377150113292550729183332131050195210331341092207496044793391
72023용인지사용인시, 여주시, 이천시654113141443732919522482481030221125112671572153712080771482445543522327
82023의정부지사의정부시, 포천시, 양주시, 동두천시, 연천군103519578427148091843878169215792677022140544213079287012937602133902435464352823
92023파주지사파주시2774776000000003861147874843160238583911075796217208126834
기준년도지사명관할지역정보전체수급자수(명)전체금액(백만원)1급수급자수(명)1급금액(백만원)2급수급자수(명)2급금액(백만원)3급수급자수(명)3급금액(백만원)4급수급자수(명)4급금액(백만원)5급수급자수(명)5급금액(백만원)6급수급자수(명)6급금액(백만원)7급수급자수(명)7급금액(백만원)8급수급자수(명)8급금액(백만원)9급수급자수(명)9급금액(백만원)10급수급자수(명)10급금액(백만원)11급수급자수(명)11급금액(백만원)12급수급자수(명)12급금액(백만원)13급수급자수(명)13급금액(백만원)14급수급자수(명)14급금액(백만원)
1072013의정부지사의정부시, 동두천시, 구리시, 남양주시, 양주시, 연천군, 포천시, 강원도 철원시28174370112441071142941124284362147021942943245283345497646163376211812728433074012335369522119103931575
1082013평택지사오산시, 평택시, 안성시15032668128103135955358132356510019642264038229357942148755190215437581312284205296966522174815
1092012고양지사파주시, 고양시12032000973238972206148114332797991902182309616524832171930803511084771033134144044342175716
1102012부천지사부천시, 김포시2014322024015875817405214745313641553184281477333249514615036417461312932130191727231161027332981182
1112012성남지사성남시, 하남시, 광주시, 이천시, 양평군, 여주시22464227514262031675490108320363164316135092724915261419932978481381124300014321333193639755733311407
1122012수원지사수원시, 화성시, 용인시195336875653624752392942293611663219493932163092694282331163511525105261310716152092673715632731220
1132012안산지사안산시, 시흥시34646175759237285264510032575312992746457610119525349143923029130380422652582183804453555516212084681974
1142012안양지사광명시, 안양시, 과천시, 의왕시, 군포시2411453894924591173937119308367175521948394678736524799152172755149413430811242207206257564521214983
1152012의정부지사의정부시, 동두천시, 구리시, 남양주시, 양주시, 연천군, 포천시, 강원도 철원시26894165011039801223362115271858126222244233315534342484751160875172712527082573178312338120115463681376
1162012평택지사오산시, 평택시, 안성시1864330092694034860379212464710423922374210248408367236784246423858792233490262335079570201836