Overview

Dataset statistics

Number of variables26
Number of observations63
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory14.5 KiB
Average record size in memory235.1 B

Variable types

Categorical1
Text1
Numeric24

Dataset

Description근로복지공단 소속 지사별 산재보험 보상 관련 통계(지사별 수급자,요양급여, 휴업급여, 간병급여, 재활급여 등 지급된 보험급여)
URLhttps://www.data.go.kr/data/15054969/fileData.do

Alerts

연도 has constant value ""Constant
지 사 명 has unique valuesUnique
수급자_요양급여(명) has unique valuesUnique
지급건_요양급여(건) has unique valuesUnique
금액_요양급여(원) has unique valuesUnique
수급자_휴업급여 has unique valuesUnique
지급건_휴업급여 has unique valuesUnique
금 액_휴업급여 has unique valuesUnique
금 액_상병보상연금 has unique valuesUnique
수급자_장해급여 has unique valuesUnique
지급건_장해급여 has unique valuesUnique
금 액_장해급여 has unique valuesUnique
지급건_유족급여 has unique valuesUnique
금 액_유족급여 has unique valuesUnique
금 액_장의비 has unique valuesUnique
금 액_간병급여 has unique valuesUnique
수급자_간병급여 has 1 (1.6%) zerosZeros
지급건_간병급여 has 1 (1.6%) zerosZeros
금 액_간병급여 has 1 (1.6%) zerosZeros
수급자_재활급여 has 3 (4.8%) zerosZeros
지급건_재활급여 has 3 (4.8%) zerosZeros
금 액_재활급여 has 3 (4.8%) zerosZeros

Reproduction

Analysis started2023-12-12 15:19:01.422106
Analysis finished2023-12-12 15:19:01.676049
Duration0.25 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연도
Categorical

CONSTANT 

Distinct1
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Memory size636.0 B
2022
63 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2022
2nd row2022
3rd row2022
4th row2022
5th row2022

Common Values

ValueCountFrequency (%)
2022 63
100.0%

Length

2023-12-13T00:19:01.739897image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T00:19:01.835490image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2022 63
100.0%

지 사 명
Text

UNIQUE 

Distinct63
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size636.0 B
2023-12-13T00:19:02.069444image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length6
Median length4
Mean length4.7619048
Min length4

Characters and Unicode

Total characters300
Distinct characters61
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique63 ?
Unique (%)100.0%

Sample

1st row서울지역본부
2nd row서울강남지사
3rd row서울서초지사
4th row서울동부지사
5th row서울성동지사
ValueCountFrequency (%)
서울지역본부 1
 
1.6%
영주지사 1
 
1.6%
경인지역본부 1
 
1.6%
인천북부지사 1
 
1.6%
수원지사 1
 
1.6%
부천지사 1
 
1.6%
안양지사 1
 
1.6%
안산지사 1
 
1.6%
성남지사 1
 
1.6%
평택지사 1
 
1.6%
Other values (53) 53
84.1%
2023-12-13T00:19:02.482651image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
63
21.0%
56
18.7%
25
 
8.3%
14
 
4.7%
12
 
4.0%
10
 
3.3%
9
 
3.0%
7
 
2.3%
7
 
2.3%
6
 
2.0%
Other values (51) 91
30.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 300
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
63
21.0%
56
18.7%
25
 
8.3%
14
 
4.7%
12
 
4.0%
10
 
3.3%
9
 
3.0%
7
 
2.3%
7
 
2.3%
6
 
2.0%
Other values (51) 91
30.3%

Most occurring scripts

ValueCountFrequency (%)
Hangul 300
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
63
21.0%
56
18.7%
25
 
8.3%
14
 
4.7%
12
 
4.0%
10
 
3.3%
9
 
3.0%
7
 
2.3%
7
 
2.3%
6
 
2.0%
Other values (51) 91
30.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 300
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
63
21.0%
56
18.7%
25
 
8.3%
14
 
4.7%
12
 
4.0%
10
 
3.3%
9
 
3.0%
7
 
2.3%
7
 
2.3%
6
 
2.0%
Other values (51) 91
30.3%

수급자_요양급여(명)
Real number (ℝ)

UNIQUE 

Distinct63
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6056.4444
Minimum1498
Maximum16226
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size699.0 B
2023-12-13T00:19:02.617991image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1498
5-th percentile2050.6
Q13505
median6222
Q37892.5
95-th percentile12635.1
Maximum16226
Range14728
Interquartile range (IQR)4387.5

Descriptive statistics

Standard deviation3370.287
Coefficient of variation (CV)0.55647946
Kurtosis1.1361869
Mean6056.4444
Median Absolute Deviation (MAD)2445
Skewness1.000339
Sum381556
Variance11358834
MonotonicityNot monotonic
2023-12-13T00:19:02.762713image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
7017 1
 
1.6%
4483 1
 
1.6%
10755 1
 
1.6%
16103 1
 
1.6%
7054 1
 
1.6%
9305 1
 
1.6%
6545 1
 
1.6%
16226 1
 
1.6%
9379 1
 
1.6%
6726 1
 
1.6%
Other values (53) 53
84.1%
ValueCountFrequency (%)
1498 1
1.6%
1744 1
1.6%
1814 1
1.6%
2039 1
1.6%
2155 1
1.6%
2157 1
1.6%
2190 1
1.6%
2321 1
1.6%
2338 1
1.6%
2385 1
1.6%
ValueCountFrequency (%)
16226 1
1.6%
16103 1
1.6%
13501 1
1.6%
12844 1
1.6%
10755 1
1.6%
10001 1
1.6%
9936 1
1.6%
9870 1
1.6%
9379 1
1.6%
9305 1
1.6%

지급건_요양급여(건)
Real number (ℝ)

UNIQUE 

Distinct63
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean41766.794
Minimum7777
Maximum128860
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size699.0 B
2023-12-13T00:19:02.914293image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum7777
5-th percentile11837.1
Q120876
median42630
Q352169
95-th percentile87425.3
Maximum128860
Range121083
Interquartile range (IQR)31293

Descriptive statistics

Standard deviation24240.447
Coefficient of variation (CV)0.58037605
Kurtosis1.8716058
Mean41766.794
Median Absolute Deviation (MAD)16305
Skewness1.1163927
Sum2631308
Variance5.8759926 × 108
MonotonicityNot monotonic
2023-12-13T00:19:03.053868image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
40887 1
 
1.6%
24079 1
 
1.6%
69734 1
 
1.6%
98334 1
 
1.6%
46275 1
 
1.6%
59332 1
 
1.6%
42990 1
 
1.6%
97232 1
 
1.6%
60854 1
 
1.6%
43690 1
 
1.6%
Other values (53) 53
84.1%
ValueCountFrequency (%)
7777 1
1.6%
9443 1
1.6%
10500 1
1.6%
11622 1
1.6%
13773 1
1.6%
14116 1
1.6%
14718 1
1.6%
14838 1
1.6%
16263 1
1.6%
17258 1
1.6%
ValueCountFrequency (%)
128860 1
1.6%
98334 1
1.6%
97232 1
1.6%
87492 1
1.6%
86825 1
1.6%
71726 1
1.6%
69734 1
1.6%
67919 1
1.6%
60854 1
1.6%
59824 1
1.6%

금액_요양급여(원)
Real number (ℝ)

UNIQUE 

Distinct63
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.0896127 × 1010
Minimum2.8703829 × 109
Maximum8.2783034 × 1010
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size699.0 B
2023-12-13T00:19:03.189070image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2.8703829 × 109
5-th percentile5.4751911 × 109
Q11.1248831 × 1010
median1.6563367 × 1010
Q32.3882839 × 1010
95-th percentile5.3477524 × 1010
Maximum8.2783034 × 1010
Range7.9912651 × 1010
Interquartile range (IQR)1.2634008 × 1010

Descriptive statistics

Standard deviation1.5946842 × 1010
Coefficient of variation (CV)0.76314821
Kurtosis4.3096424
Mean2.0896127 × 1010
Median Absolute Deviation (MAD)7.0558518 × 109
Skewness1.9098244
Sum1.316456 × 1012
Variance2.5430176 × 1020
MonotonicityNot monotonic
2023-12-13T00:19:03.322624image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
18255899030 1
 
1.6%
7738984320 1
 
1.6%
33463576160 1
 
1.6%
82783034210 1
 
1.6%
22563141120 1
 
1.6%
24146457920 1
 
1.6%
15606889050 1
 
1.6%
70485955890 1
 
1.6%
23619219160 1
 
1.6%
18032416810 1
 
1.6%
Other values (53) 53
84.1%
ValueCountFrequency (%)
2870382860 1
1.6%
4349215830 1
1.6%
4796522320 1
1.6%
5457657500 1
1.6%
5632993130 1
1.6%
5716769920 1
1.6%
6045180050 1
1.6%
6228973130 1
1.6%
6588921250 1
1.6%
6840937540 1
1.6%
ValueCountFrequency (%)
82783034210 1
1.6%
70485955890 1
1.6%
64177495070 1
1.6%
54107807630 1
1.6%
47804972040 1
1.6%
42251743710 1
1.6%
37431494760 1
1.6%
35331926470 1
1.6%
33463576160 1
1.6%
32817450240 1
1.6%

수급자_휴업급여
Real number (ℝ)

UNIQUE 

Distinct63
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2908.746
Minimum324
Maximum6911
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size699.0 B
2023-12-13T00:19:03.441425image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum324
5-th percentile728.6
Q11462
median2633
Q34040
95-th percentile5683.5
Maximum6911
Range6587
Interquartile range (IQR)2578

Descriptive statistics

Standard deviation1628.4119
Coefficient of variation (CV)0.55983296
Kurtosis-0.48123173
Mean2908.746
Median Absolute Deviation (MAD)1270
Skewness0.48596737
Sum183251
Variance2651725.4
MonotonicityNot monotonic
2023-12-13T00:19:03.557879image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2343 1
 
1.6%
1430 1
 
1.6%
5643 1
 
1.6%
5819 1
 
1.6%
4083 1
 
1.6%
4731 1
 
1.6%
3382 1
 
1.6%
6911 1
 
1.6%
4771 1
 
1.6%
3710 1
 
1.6%
Other values (53) 53
84.1%
ValueCountFrequency (%)
324 1
1.6%
640 1
1.6%
659 1
1.6%
712 1
1.6%
878 1
1.6%
903 1
1.6%
940 1
1.6%
1010 1
1.6%
1117 1
1.6%
1139 1
1.6%
ValueCountFrequency (%)
6911 1
1.6%
6879 1
1.6%
5819 1
1.6%
5688 1
1.6%
5643 1
1.6%
5000 1
1.6%
4908 1
1.6%
4771 1
1.6%
4759 1
1.6%
4758 1
1.6%

지급건_휴업급여
Real number (ℝ)

UNIQUE 

Distinct63
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean10609.825
Minimum733
Maximum28216
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size699.0 B
2023-12-13T00:19:03.684530image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum733
5-th percentile2236.5
Q15042
median10002
Q314389
95-th percentile24750.1
Maximum28216
Range27483
Interquartile range (IQR)9347

Descriptive statistics

Standard deviation6552.5813
Coefficient of variation (CV)0.61759558
Kurtosis0.54625275
Mean10609.825
Median Absolute Deviation (MAD)4864
Skewness0.82727331
Sum668419
Variance42936322
MonotonicityNot monotonic
2023-12-13T00:19:03.798566image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
8549 1
 
1.6%
3473 1
 
1.6%
18472 1
 
1.6%
21556 1
 
1.6%
13971 1
 
1.6%
15473 1
 
1.6%
10002 1
 
1.6%
28216 1
 
1.6%
14895 1
 
1.6%
11909 1
 
1.6%
Other values (53) 53
84.1%
ValueCountFrequency (%)
733 1
1.6%
1429 1
1.6%
2051 1
1.6%
2178 1
1.6%
2763 1
1.6%
2907 1
1.6%
3213 1
1.6%
3441 1
1.6%
3473 1
1.6%
3857 1
1.6%
ValueCountFrequency (%)
28216 1
1.6%
28172 1
1.6%
26454 1
1.6%
25105 1
1.6%
21556 1
1.6%
18472 1
1.6%
17283 1
1.6%
17108 1
1.6%
16981 1
1.6%
16811 1
1.6%

금 액_휴업급여
Real number (ℝ)

UNIQUE 

Distinct63
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.6879357 × 1010
Minimum2.8238031 × 109
Maximum9.2067488 × 1010
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size699.0 B
2023-12-13T00:19:03.939642image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2.8238031 × 109
5-th percentile6.4068974 × 109
Q11.202671 × 1010
median2.4819 × 1010
Q33.5747583 × 1010
95-th percentile5.6429 × 1010
Maximum9.2067488 × 1010
Range8.9243684 × 1010
Interquartile range (IQR)2.3720873 × 1010

Descriptive statistics

Standard deviation1.6879691 × 1010
Coefficient of variation (CV)0.6279797
Kurtosis2.3832651
Mean2.6879357 × 1010
Median Absolute Deviation (MAD)1.2199439 × 1010
Skewness1.13183
Sum1.6933995 × 1012
Variance2.8492396 × 1020
MonotonicityNot monotonic
2023-12-13T00:19:04.075742image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
22873687930 1
 
1.6%
10054363300 1
 
1.6%
43830369900 1
 
1.6%
52762498480 1
 
1.6%
31676364970 1
 
1.6%
36014427830 1
 
1.6%
26921113110 1
 
1.6%
61594117960 1
 
1.6%
37212414020 1
 
1.6%
28831323970 1
 
1.6%
Other values (53) 53
84.1%
ValueCountFrequency (%)
2823803070 1
1.6%
3617117580 1
1.6%
5456478000 1
1.6%
6371692440 1
1.6%
6723742310 1
1.6%
6931523230 1
1.6%
7943293710 1
1.6%
8095217760 1
1.6%
9895650550 1
1.6%
10046890990 1
1.6%
ValueCountFrequency (%)
92067487520 1
1.6%
62333735560 1
1.6%
61594117960 1
1.6%
56836388760 1
1.6%
52762498480 1
1.6%
49591784130 1
1.6%
45107205880 1
1.6%
43830369900 1
1.6%
41103538440 1
1.6%
40362656630 1
1.6%
Distinct50
Distinct (%)79.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean62.460317
Minimum2
Maximum517
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size699.0 B
2023-12-13T00:19:04.215696image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile4
Q119.5
median44
Q370.5
95-th percentile172.9
Maximum517
Range515
Interquartile range (IQR)51

Descriptive statistics

Standard deviation76.624309
Coefficient of variation (CV)1.2267678
Kurtosis19.840975
Mean62.460317
Median Absolute Deviation (MAD)27
Skewness3.8355847
Sum3935
Variance5871.2847
MonotonicityNot monotonic
2023-12-13T00:19:04.393530image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
36 3
 
4.8%
4 3
 
4.8%
58 3
 
4.8%
46 2
 
3.2%
31 2
 
3.2%
15 2
 
3.2%
10 2
 
3.2%
6 2
 
3.2%
68 2
 
3.2%
34 2
 
3.2%
Other values (40) 40
63.5%
ValueCountFrequency (%)
2 1
 
1.6%
3 1
 
1.6%
4 3
4.8%
6 2
3.2%
7 1
 
1.6%
10 2
3.2%
11 1
 
1.6%
12 1
 
1.6%
14 1
 
1.6%
15 2
3.2%
ValueCountFrequency (%)
517 1
1.6%
225 1
1.6%
221 1
1.6%
173 1
1.6%
172 1
1.6%
166 1
1.6%
131 1
1.6%
113 1
1.6%
95 1
1.6%
90 1
1.6%
Distinct61
Distinct (%)96.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean605.5873
Minimum14
Maximum5684
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size699.0 B
2023-12-13T00:19:04.560642image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum14
5-th percentile26.1
Q1192
median418
Q3647.5
95-th percentile1905.3
Maximum5684
Range5670
Interquartile range (IQR)455.5

Descriptive statistics

Standard deviation825.06132
Coefficient of variation (CV)1.3624152
Kurtosis23.126118
Mean605.5873
Median Absolute Deviation (MAD)240
Skewness4.1981286
Sum38152
Variance680726.18
MonotonicityNot monotonic
2023-12-13T00:19:05.029041image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
418 2
 
3.2%
25 2
 
3.2%
763 1
 
1.6%
215 1
 
1.6%
832 1
 
1.6%
780 1
 
1.6%
5684 1
 
1.6%
610 1
 
1.6%
467 1
 
1.6%
241 1
 
1.6%
Other values (51) 51
81.0%
ValueCountFrequency (%)
14 1
1.6%
17 1
1.6%
25 2
3.2%
36 1
1.6%
37 1
1.6%
40 1
1.6%
52 1
1.6%
63 1
1.6%
96 1
1.6%
103 1
1.6%
ValueCountFrequency (%)
5684 1
1.6%
2279 1
1.6%
2017 1
1.6%
1923 1
1.6%
1746 1
1.6%
1741 1
1.6%
1404 1
1.6%
1160 1
1.6%
843 1
1.6%
832 1
1.6%

금 액_상병보상연금
Real number (ℝ)

UNIQUE 

Distinct63
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.175845 × 109
Minimum40821600
Maximum2.2520334 × 1010
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size699.0 B
2023-12-13T00:19:05.195856image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum40821600
5-th percentile96381528
Q16.5389554 × 108
median1.3857459 × 109
Q32.2765837 × 109
95-th percentile6.6977557 × 109
Maximum2.2520334 × 1010
Range2.2479512 × 1010
Interquartile range (IQR)1.6226882 × 109

Descriptive statistics

Standard deviation3.1540308 × 109
Coefficient of variation (CV)1.449566
Kurtosis28.166538
Mean2.175845 × 109
Median Absolute Deviation (MAD)8.3807837 × 108
Skewness4.7021074
Sum1.3707823 × 1011
Variance9.9479103 × 1018
MonotonicityNot monotonic
2023-12-13T00:19:05.312844image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2592594100 1
 
1.6%
85661730 1
 
1.6%
2814740200 1
 
1.6%
22520333910 1
 
1.6%
2044412920 1
 
1.6%
1598526180 1
 
1.6%
977237080 1
 
1.6%
6767250000 1
 
1.6%
1758109230 1
 
1.6%
1187021120 1
 
1.6%
Other values (53) 53
84.1%
ValueCountFrequency (%)
40821600 1
1.6%
84682910 1
1.6%
85661730 1
1.6%
93845900 1
1.6%
119202180 1
1.6%
121847120 1
1.6%
156397430 1
1.6%
170208940 1
1.6%
306220100 1
1.6%
312828730 1
1.6%
ValueCountFrequency (%)
22520333910 1
1.6%
8405553280 1
1.6%
6767250000 1
1.6%
6760052560 1
1.6%
6137083910 1
1.6%
5714890870 1
1.6%
4899747370 1
1.6%
4038424430 1
1.6%
3128920830 1
1.6%
3095969520 1
1.6%

수급자_장해급여
Real number (ℝ)

UNIQUE 

Distinct63
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1796.0952
Minimum171
Maximum5597
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size699.0 B
2023-12-13T00:19:05.429953image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum171
5-th percentile315.4
Q1760
median1555
Q32291.5
95-th percentile3890.8
Maximum5597
Range5426
Interquartile range (IQR)1531.5

Descriptive statistics

Standard deviation1192.8783
Coefficient of variation (CV)0.66415091
Kurtosis0.62561872
Mean1796.0952
Median Absolute Deviation (MAD)790
Skewness0.95318465
Sum113154
Variance1422958.6
MonotonicityNot monotonic
2023-12-13T00:19:05.555979image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1526 1
 
1.6%
586 1
 
1.6%
3195 1
 
1.6%
4246 1
 
1.6%
1945 1
 
1.6%
2243 1
 
1.6%
2313 1
 
1.6%
3808 1
 
1.6%
2142 1
 
1.6%
1555 1
 
1.6%
Other values (53) 53
84.1%
ValueCountFrequency (%)
171 1
1.6%
294 1
1.6%
300 1
1.6%
303 1
1.6%
427 1
1.6%
450 1
1.6%
457 1
1.6%
570 1
1.6%
586 1
1.6%
644 1
1.6%
ValueCountFrequency (%)
5597 1
1.6%
4518 1
1.6%
4246 1
1.6%
3900 1
1.6%
3808 1
1.6%
3754 1
1.6%
3385 1
1.6%
3350 1
1.6%
3334 1
1.6%
3251 1
1.6%

지급건_장해급여
Real number (ℝ)

UNIQUE 

Distinct63
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean12946.143
Minimum555
Maximum46375
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size699.0 B
2023-12-13T00:19:05.691708image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum555
5-th percentile2005
Q15528
median11696
Q315882.5
95-th percentile29286.7
Maximum46375
Range45820
Interquartile range (IQR)10354.5

Descriptive statistics

Standard deviation9554.1149
Coefficient of variation (CV)0.7379893
Kurtosis1.9965223
Mean12946.143
Median Absolute Deviation (MAD)6006
Skewness1.3058479
Sum815607
Variance91281111
MonotonicityNot monotonic
2023-12-13T00:19:05.831096image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
13286 1
 
1.6%
5690 1
 
1.6%
22385 1
 
1.6%
33484 1
 
1.6%
14346 1
 
1.6%
14384 1
 
1.6%
19854 1
 
1.6%
24620 1
 
1.6%
15811 1
 
1.6%
9480 1
 
1.6%
Other values (53) 53
84.1%
ValueCountFrequency (%)
555 1
1.6%
1125 1
1.6%
1826 1
1.6%
1964 1
1.6%
2374 1
1.6%
2478 1
1.6%
2817 1
1.6%
3211 1
1.6%
3452 1
1.6%
4391 1
1.6%
ValueCountFrequency (%)
46375 1
1.6%
40162 1
1.6%
33484 1
1.6%
29414 1
1.6%
28141 1
1.6%
27456 1
1.6%
26963 1
1.6%
25445 1
1.6%
24620 1
1.6%
22385 1
1.6%

금 액_장해급여
Real number (ℝ)

UNIQUE 

Distinct63
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.039405 × 1010
Minimum2.2741699 × 109
Maximum1.4704 × 1011
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size699.0 B
2023-12-13T00:19:05.949628image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2.2741699 × 109
5-th percentile7.7010271 × 109
Q11.7191946 × 1010
median3.846306 × 1010
Q35.0739725 × 1010
95-th percentile9.2356302 × 1010
Maximum1.4704 × 1011
Range1.4476583 × 1011
Interquartile range (IQR)3.3547779 × 1010

Descriptive statistics

Standard deviation2.9179832 × 1010
Coefficient of variation (CV)0.72237946
Kurtosis2.0115889
Mean4.039405 × 1010
Median Absolute Deviation (MAD)1.9028565 × 1010
Skewness1.3086107
Sum2.5448252 × 1012
Variance8.5146261 × 1020
MonotonicityNot monotonic
2023-12-13T00:19:06.076446image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
38463060450 1
 
1.6%
17356350810 1
 
1.6%
69401963170 1
 
1.6%
103543000000 1
 
1.6%
44547912390 1
 
1.6%
45136930250 1
 
1.6%
51211247530 1
 
1.6%
76840339480 1
 
1.6%
50268202190 1
 
1.6%
29790873430 1
 
1.6%
Other values (53) 53
84.1%
ValueCountFrequency (%)
2274169860 1
1.6%
4179359600 1
1.6%
7329841860 1
1.6%
7613238990 1
1.6%
8491119840 1
1.6%
9939198610 1
1.6%
10574739470 1
1.6%
13057450920 1
1.6%
13426949200 1
1.6%
13601854510 1
1.6%
ValueCountFrequency (%)
147040000000 1
1.6%
111630000000 1
1.6%
103543000000 1
1.6%
92974079950 1
1.6%
86796299980 1
1.6%
84655506220 1
1.6%
84042894550 1
1.6%
76840339480 1
1.6%
76295984230 1
1.6%
72895049520 1
1.6%

수급자_유족급여
Real number (ℝ)

Distinct61
Distinct (%)96.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean564.03175
Minimum58
Maximum2035
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size699.0 B
2023-12-13T00:19:06.206696image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum58
5-th percentile162.6
Q1342
median514
Q3709.5
95-th percentile983
Maximum2035
Range1977
Interquartile range (IQR)367.5

Descriptive statistics

Standard deviation323.59672
Coefficient of variation (CV)0.57372076
Kurtosis5.9910476
Mean564.03175
Median Absolute Deviation (MAD)183
Skewness1.741156
Sum35534
Variance104714.84
MonotonicityNot monotonic
2023-12-13T00:19:06.341079image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
392 2
 
3.2%
514 2
 
3.2%
671 1
 
1.6%
407 1
 
1.6%
874 1
 
1.6%
827 1
 
1.6%
535 1
 
1.6%
575 1
 
1.6%
996 1
 
1.6%
738 1
 
1.6%
Other values (51) 51
81.0%
ValueCountFrequency (%)
58 1
1.6%
100 1
1.6%
142 1
1.6%
161 1
1.6%
177 1
1.6%
197 1
1.6%
215 1
1.6%
241 1
1.6%
261 1
1.6%
277 1
1.6%
ValueCountFrequency (%)
2035 1
1.6%
1398 1
1.6%
996 1
1.6%
984 1
1.6%
974 1
1.6%
968 1
1.6%
955 1
1.6%
947 1
1.6%
874 1
1.6%
842 1
1.6%

지급건_유족급여
Real number (ℝ)

UNIQUE 

Distinct63
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6389.4762
Minimum311
Maximum23424
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size699.0 B
2023-12-13T00:19:06.547714image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum311
5-th percentile1878.8
Q13878.5
median5910
Q38021
95-th percentile11299
Maximum23424
Range23113
Interquartile range (IQR)4142.5

Descriptive statistics

Standard deviation3762.7415
Coefficient of variation (CV)0.5888967
Kurtosis5.8511985
Mean6389.4762
Median Absolute Deviation (MAD)2079
Skewness1.7095652
Sum402537
Variance14158223
MonotonicityNot monotonic
2023-12-13T00:19:06.680121image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
7805 1
 
1.6%
6359 1
 
1.6%
10159 1
 
1.6%
9335 1
 
1.6%
6047 1
 
1.6%
6556 1
 
1.6%
5832 1
 
1.6%
11364 1
 
1.6%
8427 1
 
1.6%
8151 1
 
1.6%
Other values (53) 53
84.1%
ValueCountFrequency (%)
311 1
1.6%
577 1
1.6%
1628 1
1.6%
1861 1
1.6%
2039 1
1.6%
2237 1
1.6%
2248 1
1.6%
2795 1
1.6%
3029 1
1.6%
3136 1
1.6%
ValueCountFrequency (%)
23424 1
1.6%
15947 1
1.6%
11364 1
1.6%
11302 1
1.6%
11272 1
1.6%
11160 1
1.6%
11009 1
1.6%
10728 1
1.6%
10159 1
1.6%
9721 1
1.6%

금 액_유족급여
Real number (ℝ)

UNIQUE 

Distinct63
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.4048295 × 1010
Minimum1.2170282 × 109
Maximum4.5791322 × 1010
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size699.0 B
2023-12-13T00:19:06.844901image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1.2170282 × 109
5-th percentile3.8556841 × 109
Q18.4016711 × 109
median1.301998 × 1010
Q31.8008341 × 1010
95-th percentile2.6499329 × 1010
Maximum4.5791322 × 1010
Range4.4574294 × 1010
Interquartile range (IQR)9.6066697 × 109

Descriptive statistics

Standard deviation7.8040732 × 109
Coefficient of variation (CV)0.55551746
Kurtosis3.3232363
Mean1.4048295 × 1010
Median Absolute Deviation (MAD)4.6976553 × 109
Skewness1.2657881
Sum8.8504259 × 1011
Variance6.0903558 × 1019
MonotonicityNot monotonic
2023-12-13T00:19:06.995865image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
19620258720 1
 
1.6%
16600661210 1
 
1.6%
20630768250 1
 
1.6%
22631498920 1
 
1.6%
14738255250 1
 
1.6%
14324770340 1
 
1.6%
14221504310 1
 
1.6%
26654949910 1
 
1.6%
19089875230 1
 
1.6%
19075856810 1
 
1.6%
Other values (53) 53
84.1%
ValueCountFrequency (%)
1217028180 1
1.6%
1652182520 1
1.6%
3770238500 1
1.6%
3784522900 1
1.6%
4496134460 1
1.6%
5251387280 1
1.6%
5358836510 1
1.6%
5466461090 1
1.6%
6030916290 1
1.6%
6431958360 1
1.6%
ValueCountFrequency (%)
45791322190 1
1.6%
31451260900 1
1.6%
29413612470 1
1.6%
26654949910 1
1.6%
25098735880 1
1.6%
22992928380 1
1.6%
22800815760 1
1.6%
22631498920 1
1.6%
21637741460 1
1.6%
21337260730 1
1.6%

수급자_장의비
Real number (ℝ)

Distinct44
Distinct (%)69.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean43.222222
Minimum6
Maximum158
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size699.0 B
2023-12-13T00:19:07.129928image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum6
5-th percentile10
Q125
median39
Q355.5
95-th percentile85.5
Maximum158
Range152
Interquartile range (IQR)30.5

Descriptive statistics

Standard deviation26.472411
Coefficient of variation (CV)0.61247223
Kurtosis4.7692229
Mean43.222222
Median Absolute Deviation (MAD)16
Skewness1.6044044
Sum2723
Variance700.78853
MonotonicityNot monotonic
2023-12-13T00:19:07.366219image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=44)
ValueCountFrequency (%)
36 5
 
7.9%
40 4
 
6.3%
56 3
 
4.8%
52 2
 
3.2%
29 2
 
3.2%
9 2
 
3.2%
45 2
 
3.2%
39 2
 
3.2%
55 2
 
3.2%
17 2
 
3.2%
Other values (34) 37
58.7%
ValueCountFrequency (%)
6 1
1.6%
9 2
3.2%
10 2
3.2%
12 1
1.6%
16 1
1.6%
17 2
3.2%
18 1
1.6%
19 1
1.6%
20 1
1.6%
21 2
3.2%
ValueCountFrequency (%)
158 1
1.6%
110 1
1.6%
90 1
1.6%
86 1
1.6%
81 1
1.6%
75 1
1.6%
74 1
1.6%
70 1
1.6%
69 1
1.6%
65 1
1.6%

지급건_장의비
Real number (ℝ)

Distinct47
Distinct (%)74.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean44.571429
Minimum6
Maximum159
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size699.0 B
2023-12-13T00:19:07.810813image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum6
5-th percentile10
Q126.5
median40
Q357.5
95-th percentile86.5
Maximum159
Range153
Interquartile range (IQR)31

Descriptive statistics

Standard deviation26.745946
Coefficient of variation (CV)0.6000693
Kurtosis4.4234603
Mean44.571429
Median Absolute Deviation (MAD)16
Skewness1.5363868
Sum2808
Variance715.34562
MonotonicityNot monotonic
2023-12-13T00:19:07.994322image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=47)
ValueCountFrequency (%)
36 3
 
4.8%
10 3
 
4.8%
58 2
 
3.2%
21 2
 
3.2%
37 2
 
3.2%
24 2
 
3.2%
42 2
 
3.2%
41 2
 
3.2%
55 2
 
3.2%
18 2
 
3.2%
Other values (37) 41
65.1%
ValueCountFrequency (%)
6 1
 
1.6%
9 1
 
1.6%
10 3
4.8%
13 1
 
1.6%
17 1
 
1.6%
18 2
3.2%
19 1
 
1.6%
21 2
3.2%
22 1
 
1.6%
24 2
3.2%
ValueCountFrequency (%)
159 1
1.6%
111 1
1.6%
91 1
1.6%
87 1
1.6%
82 1
1.6%
77 2
3.2%
76 1
1.6%
72 1
1.6%
67 1
1.6%
66 1
1.6%

금 액_장의비
Real number (ℝ)

UNIQUE 

Distinct63
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.1532366 × 108
Minimum97693320
Maximum2.5067988 × 109
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size699.0 B
2023-12-13T00:19:08.185432image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum97693320
5-th percentile1.3429832 × 108
Q13.4716965 × 108
median5.4256022 × 108
Q37.7718794 × 108
95-th percentile1.2697612 × 109
Maximum2.5067988 × 109
Range2.4091054 × 109
Interquartile range (IQR)4.300183 × 108

Descriptive statistics

Standard deviation4.0648656 × 108
Coefficient of variation (CV)0.66060608
Kurtosis6.9252852
Mean6.1532366 × 108
Median Absolute Deviation (MAD)2.281813 × 108
Skewness2.0163298
Sum3.8765391 × 1010
Variance1.6523132 × 1017
MonotonicityNot monotonic
2023-12-13T00:19:08.398362image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
515550160 1
 
1.6%
528861920 1
 
1.6%
770741520 1
 
1.6%
1286673390 1
 
1.6%
664158230 1
 
1.6%
646639700 1
 
1.6%
633509600 1
 
1.6%
1296546590 1
 
1.6%
909678390 1
 
1.6%
778193130 1
 
1.6%
Other values (53) 53
84.1%
ValueCountFrequency (%)
97693320 1
1.6%
110844110 1
1.6%
124189880 1
1.6%
133431820 1
1.6%
142096850 1
1.6%
170416770 1
1.6%
219619580 1
1.6%
229226710 1
1.6%
231368340 1
1.6%
248141510 1
1.6%
ValueCountFrequency (%)
2506798750 1
1.6%
1727308110 1
1.6%
1296546590 1
1.6%
1286673390 1
1.6%
1117551810 1
1.6%
1076519280 1
1.6%
1070620160 1
1.6%
1009545950 1
1.6%
994893740 1
1.6%
951610250 1
1.6%

수급자_간병급여
Real number (ℝ)

ZEROS 

Distinct54
Distinct (%)85.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean78.555556
Minimum0
Maximum527
Zeros1
Zeros (%)1.6%
Negative0
Negative (%)0.0%
Memory size699.0 B
2023-12-13T00:19:08.592214image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile11
Q124
median56
Q3115.5
95-th percentile173
Maximum527
Range527
Interquartile range (IQR)91.5

Descriptive statistics

Standard deviation82.41844
Coefficient of variation (CV)1.0491739
Kurtosis13.739086
Mean78.555556
Median Absolute Deviation (MAD)38
Skewness3.0422756
Sum4949
Variance6792.7993
MonotonicityNot monotonic
2023-12-13T00:19:08.782638image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
11 3
 
4.8%
163 2
 
3.2%
56 2
 
3.2%
33 2
 
3.2%
48 2
 
3.2%
17 2
 
3.2%
116 2
 
3.2%
23 2
 
3.2%
138 1
 
1.6%
527 1
 
1.6%
Other values (44) 44
69.8%
ValueCountFrequency (%)
0 1
 
1.6%
2 1
 
1.6%
11 3
4.8%
14 1
 
1.6%
15 1
 
1.6%
16 1
 
1.6%
17 2
3.2%
18 1
 
1.6%
20 1
 
1.6%
21 1
 
1.6%
ValueCountFrequency (%)
527 1
1.6%
299 1
1.6%
222 1
1.6%
174 1
1.6%
164 1
1.6%
163 2
3.2%
139 1
1.6%
138 1
1.6%
137 1
1.6%
125 1
1.6%

지급건_간병급여
Real number (ℝ)

ZEROS 

Distinct61
Distinct (%)96.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean849.95238
Minimum0
Maximum5917
Zeros1
Zeros (%)1.6%
Negative0
Negative (%)0.0%
Memory size699.0 B
2023-12-13T00:19:08.958861image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile114.2
Q1249
median594
Q31257
95-th percentile1875
Maximum5917
Range5917
Interquartile range (IQR)1008

Descriptive statistics

Standard deviation911.95632
Coefficient of variation (CV)1.0729499
Kurtosis15.058985
Mean849.95238
Median Absolute Deviation (MAD)401
Skewness3.2000004
Sum53547
Variance831664.34
MonotonicityNot monotonic
2023-12-13T00:19:09.467634image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1264 2
 
3.2%
1257 2
 
3.2%
1725 1
 
1.6%
125 1
 
1.6%
965 1
 
1.6%
5917 1
 
1.6%
826 1
 
1.6%
846 1
 
1.6%
1322 1
 
1.6%
2336 1
 
1.6%
Other values (51) 51
81.0%
ValueCountFrequency (%)
0 1
1.6%
10 1
1.6%
103 1
1.6%
113 1
1.6%
125 1
1.6%
131 1
1.6%
140 1
1.6%
163 1
1.6%
169 1
1.6%
191 1
1.6%
ValueCountFrequency (%)
5917 1
1.6%
3301 1
1.6%
2336 1
1.6%
1889 1
1.6%
1749 1
1.6%
1735 1
1.6%
1725 1
1.6%
1504 1
1.6%
1501 1
1.6%
1475 1
1.6%

금 액_간병급여
Real number (ℝ)

UNIQUE  ZEROS 

Distinct63
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8.0346344 × 108
Minimum0
Maximum5.5606012 × 109
Zeros1
Zeros (%)1.6%
Negative0
Negative (%)0.0%
Memory size699.0 B
2023-12-13T00:19:09.643574image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1.0486079 × 108
Q12.3357388 × 108
median5.7364745 × 108
Q31.1670093 × 109
95-th percentile1.7317429 × 109
Maximum5.5606012 × 109
Range5.5606012 × 109
Interquartile range (IQR)9.3343542 × 108

Descriptive statistics

Standard deviation8.6287795 × 108
Coefficient of variation (CV)1.073948
Kurtosis14.572818
Mean8.0346344 × 108
Median Absolute Deviation (MAD)3.7995856 × 108
Skewness3.1506846
Sum5.0618197 × 1010
Variance7.4455835 × 1017
MonotonicityNot monotonic
2023-12-13T00:19:09.808469image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1631340310 1
 
1.6%
520853550 1
 
1.6%
863194290 1
 
1.6%
5560601210 1
 
1.6%
809411760 1
 
1.6%
778310160 1
 
1.6%
1208067330 1
 
1.6%
1210886890 1
 
1.6%
2312614610 1
 
1.6%
205832180 1
 
1.6%
Other values (53) 53
84.1%
ValueCountFrequency (%)
0 1
1.6%
8399700 1
1.6%
95114930 1
1.6%
103712100 1
1.6%
115199020 1
1.6%
120389300 1
1.6%
146628760 1
1.6%
171897090 1
1.6%
188219920 1
1.6%
193113080 1
1.6%
ValueCountFrequency (%)
5560601210 1
1.6%
3117706370 1
1.6%
2312614610 1
1.6%
1735510450 1
1.6%
1697835360 1
1.6%
1686833090 1
1.6%
1631340310 1
1.6%
1433527260 1
1.6%
1406174890 1
1.6%
1397688590 1
1.6%

수급자_재활급여
Real number (ℝ)

ZEROS 

Distinct38
Distinct (%)60.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean40.063492
Minimum0
Maximum260
Zeros3
Zeros (%)4.8%
Negative0
Negative (%)0.0%
Memory size699.0 B
2023-12-13T00:19:09.973149image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q15
median11
Q344
95-th percentile196.4
Maximum260
Range260
Interquartile range (IQR)39

Descriptive statistics

Standard deviation62.109132
Coefficient of variation (CV)1.5502676
Kurtosis3.3916444
Mean40.063492
Median Absolute Deviation (MAD)8
Skewness2.0571199
Sum2524
Variance3857.5443
MonotonicityNot monotonic
2023-12-13T00:19:10.154620image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=38)
ValueCountFrequency (%)
7 6
 
9.5%
5 5
 
7.9%
4 5
 
7.9%
14 3
 
4.8%
8 3
 
4.8%
0 3
 
4.8%
3 2
 
3.2%
2 2
 
3.2%
1 2
 
3.2%
13 2
 
3.2%
Other values (28) 30
47.6%
ValueCountFrequency (%)
0 3
4.8%
1 2
 
3.2%
2 2
 
3.2%
3 2
 
3.2%
4 5
7.9%
5 5
7.9%
6 1
 
1.6%
7 6
9.5%
8 3
4.8%
10 2
 
3.2%
ValueCountFrequency (%)
260 1
1.6%
216 1
1.6%
200 1
1.6%
197 1
1.6%
191 1
1.6%
141 1
1.6%
138 2
3.2%
126 1
1.6%
80 1
1.6%
75 1
1.6%

지급건_재활급여
Real number (ℝ)

ZEROS 

Distinct41
Distinct (%)65.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean214.22222
Minimum0
Maximum2512
Zeros3
Zeros (%)4.8%
Negative0
Negative (%)0.0%
Memory size699.0 B
2023-12-13T00:19:10.333656image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q15.5
median12
Q349
95-th percentile1279.9
Maximum2512
Range2512
Interquartile range (IQR)43.5

Descriptive statistics

Standard deviation509.12938
Coefficient of variation (CV)2.3766413
Kurtosis8.5386115
Mean214.22222
Median Absolute Deviation (MAD)10
Skewness2.9222816
Sum13496
Variance259212.72
MonotonicityNot monotonic
2023-12-13T00:19:10.501501image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=41)
ValueCountFrequency (%)
8 6
 
9.5%
5 4
 
6.3%
0 3
 
4.8%
7 3
 
4.8%
4 3
 
4.8%
45 2
 
3.2%
15 2
 
3.2%
2 2
 
3.2%
3 2
 
3.2%
1 2
 
3.2%
Other values (31) 34
54.0%
ValueCountFrequency (%)
0 3
4.8%
1 2
 
3.2%
2 2
 
3.2%
3 2
 
3.2%
4 3
4.8%
5 4
6.3%
6 2
 
3.2%
7 3
4.8%
8 6
9.5%
9 2
 
3.2%
ValueCountFrequency (%)
2512 1
1.6%
1931 1
1.6%
1667 1
1.6%
1283 1
1.6%
1252 1
1.6%
911 1
1.6%
902 1
1.6%
860 1
1.6%
477 1
1.6%
416 1
1.6%

금 액_재활급여
Real number (ℝ)

ZEROS 

Distinct61
Distinct (%)96.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.2222759 × 108
Minimum0
Maximum3.3993993 × 109
Zeros3
Zeros (%)4.8%
Negative0
Negative (%)0.0%
Memory size699.0 B
2023-12-13T00:19:10.682798image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile3785805
Q118203460
median44019430
Q31.7990749 × 108
95-th percentile1.8984395 × 109
Maximum3.3993993 × 109
Range3.3993993 × 109
Interquartile range (IQR)1.6170403 × 108

Descriptive statistics

Standard deviation6.877004 × 108
Coefficient of variation (CV)2.134207
Kurtosis8.3291714
Mean3.2222759 × 108
Median Absolute Deviation (MAD)31322670
Skewness2.8873388
Sum2.0300338 × 1010
Variance4.7293184 × 1017
MonotonicityNot monotonic
2023-12-13T00:19:10.875051image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 3
 
4.8%
560076610 1
 
1.6%
8100000 1
 
1.6%
1137012840 1
 
1.6%
107257120 1
 
1.6%
82436410 1
 
1.6%
139158210 1
 
1.6%
44019430 1
 
1.6%
30273750 1
 
1.6%
56326540 1
 
1.6%
Other values (51) 51
81.0%
ValueCountFrequency (%)
0 3
4.8%
3606450 1
 
1.6%
5400000 1
 
1.6%
5704830 1
 
1.6%
8100000 1
 
1.6%
10337400 1
 
1.6%
12182130 1
 
1.6%
12696760 1
 
1.6%
12948340 1
 
1.6%
14006610 1
 
1.6%
ValueCountFrequency (%)
3399399270 1
1.6%
2588114550 1
1.6%
2337770600 1
1.6%
1920617030 1
1.6%
1698842230 1
1.6%
1199507770 1
1.6%
1156555540 1
1.6%
1137012840 1
1.6%
649397310 1
1.6%
560076610 1
1.6%

Sample

연도지 사 명수급자_요양급여(명)지급건_요양급여(건)금액_요양급여(원)수급자_휴업급여지급건_휴업급여금 액_휴업급여수급자_상병보상연금지급건_상병보상연금금 액_상병보상연금수급자_장해급여지급건_장해급여금 액_장해급여수급자_유족급여지급건_유족급여금 액_유족급여수급자_장의비지급건_장의비금 액_장의비수급자_간병급여지급건_간병급여금 액_간병급여수급자_재활급여지급건_재활급여금 액_재활급여
02022서울지역본부7017408871825589903023438549228736879308276325925941001526132863846306045067178051962025872036365155501601631725163134031075416560076610
12022서울강남지사44832407977389843201430347310054363300425856617305865690173563508105506359166006612103637528861920485375208535507824299470
22022서울서초지사342919774684093754011173907103247944101213946903672030318267329841860441506012702099130293042032271011103951149308842816700
32022서울동부지사8071513622021408409047591362132465492710534621657409690212614113473437116105976824143962045105050696075660137147514061748905519756920
42022서울성동지사238513773122924608109032907672374231021484682910570505413601854510177203944961344601010142096850232472153312906923659170
52022서울서부지사71464954614985261800311098392623290700041298115332712013049780298462227204805496120073227404040559529700484864651823805515706450
62022서울남부지사987067919422517437104908169814510720588046422157285247033852814184655506220842945122800815760757710706201601741889173551045019719312588114550
72022서울북부지사89085649123088272520475817108411035384407157921062103104518401621116300000006677737138691889204040592297510299330131177063704712182130
82022서울관악지사8390526902230492482046071486838693012240312731054998960252216600550212008405336138129825158903637505971690138150113976885907830172250
92022의정부지사678447216192949578603656125813157027536036366124805816023661776151255447020706789116456195800697295161025011411681126265130232878815030
연도지 사 명수급자_요양급여(명)지급건_요양급여(건)금액_요양급여(원)수급자_휴업급여지급건_휴업급여금 액_휴업급여수급자_상병보상연금지급건_상병보상연금금 액_상병보상연금수급자_장해급여지급건_장해급여금 액_장해급여수급자_유족급여지급건_유족급여금 액_유족급여수급자_장의비지급건_장의비금 액_장의비수급자_간병급여지급건_간병급여금 액_간병급여수급자_재활급여지급건_재활급여금 액_재활급여
532022순천지사495620631309862458201383491512619560320686372102577240685474416856759650197224852513872801617219619580566146026465804414850000
542022제주지사2767194926228973130155049461144592647033611920218045734521057473947024127955358836510121317041677027263267655100225704830
552022대전지역본부1284487492641774950705688264546233373556022122798405553280284917259591951639306036677145981780804445629182830139150414335272601389111156555540
562022대전서부지사5117368121177326064026339121223212629603631810261640207554981153566273404174711106702677503234456852020292522776744707821249330
572022청주지사69475164827723796150418115101354807386403126890495210019671258941854761220697775017439561600555977618276093969930788350121455664250
582022충주지사3717254259316629240181056421453944531036340131541925013561011727462990020652752514367966820404154256022023251241804440101235707730
592022대전동부지사1744116224349215830940276369315232301037121847120294112541793596001005771652182520669769332021083997004420908050
602022천안지사69745298022396602690391413917348446676004242717569802401489928131596365870631716517406387510484867852911060649599065970131851913040
612022보령지사21551411656329931308783213809521776039418138574591016931595439301684520974112722163774146074761076519280171931882199204414835480
622022서산지사2738188205457657500149439081123089206075217020894045019649939198610215223777608036303439503996100111131151990207734976930