Overview

Dataset statistics

Number of variables41
Number of observations22
Missing cells179
Missing cells (%)19.8%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory8.0 KiB
Average record size in memory374.0 B

Variable types

Numeric38
Categorical2
Text1

Dataset

Description산재보험 재활사업통계현황 데이터산재보험 직업재활급여 관련 산재근로자 직업훈련 및 각종 지원사업 관련 통계* 2001년 ~ 2022년 데이터*빈칸은 해당없음
Author근로복지공단
URLhttps://www.data.go.kr/data/3068602/fileData.do

Alerts

장해등급별 직장적응훈련현황(1-3급) (천원) is highly imbalanced (56.1%)Imbalance
장해등급별 재활운동지원현황(1-3급) (천원) is highly imbalanced (56.1%)Imbalance
직업재활급여 직장복귀지원금(천원) has 3 (13.6%) missing valuesMissing
직업재활급여 직장적응(천원) has 7 (31.8%) missing valuesMissing
직업재활급여 재활운동 (천원) has 6 (27.3%) missing valuesMissing
장해등급별 직장복귀 지원현황(1-3급) (천원) has 4 (18.2%) missing valuesMissing
장해등급별 직장복귀 지원현황(4-9급) (천원) has 3 (13.6%) missing valuesMissing
장해등급별 직장복귀 지원현황(10-12급) (천원) has 9 (40.9%) missing valuesMissing
장해등급별 직장적응훈련현황(4-9급) (천원) has 9 (40.9%) missing valuesMissing
장해등급별 직장적응훈련현황(10-12급) (천원) has 10 (45.5%) missing valuesMissing
장해등급별 재활운동 지원현황(4-9급) (천원) has 8 (36.4%) missing valuesMissing
장해등급별 재활운동 지원현황(10-12급) (천원) has 9 (40.9%) missing valuesMissing
직업재활급여 직업훈련 (천원) has 8 (36.4%) missing valuesMissing
내일찾기 서비스 총상담자 (명) has 12 (54.5%) missing valuesMissing
내일찾기 서비스 사례관리 대상자 (명) has 12 (54.5%) missing valuesMissing
내일찾기 서비스 직업평가 (명) has 12 (54.5%) missing valuesMissing
내일찾기 서비스 사례관리 계획수립 (명) has 12 (54.5%) missing valuesMissing
내일찾기서비스 직업배치 (명) has 12 (54.5%) missing valuesMissing
내일찾기 서비스 최초요양승인자 (명) has 10 (45.5%) missing valuesMissing
내일찾기 서비스 승인후 최초상담 (명) has 10 (45.5%) missing valuesMissing
내일찾기 서비스 선정 (명) has 10 (45.5%) missing valuesMissing
내일찾기 서비스 직업배치 (명) has 10 (45.5%) missing valuesMissing
사회적응프로그램 위탁기관 (개소) has 1 (4.5%) missing valuesMissing
사회적응프로그램 교육인원 (명) has 1 (4.5%) missing valuesMissing
사회적응프로그램 지원금액 (천원) has 1 (4.5%) missing valuesMissing
연도 has unique valuesUnique
산재보상기금 출연금 직업훈련 (천원) has unique valuesUnique
산재노동자 직업훈련 전체 (천원) has unique valuesUnique
직업훈련비용지원 위탁훈련 선발인원 (명) has unique valuesUnique
직업훈련비용지원 위탁훈련 수료인원 (명) has unique valuesUnique
직업훈련비용지원 위탁훈련 취업자 (명) has unique valuesUnique
합병증 진료카드발급자 (명) has unique valuesUnique
합병증 진료카드 수급자 (명) has unique valuesUnique
합병증 등 예방관리제도 지급액 (천원) has unique valuesUnique
산재근로자자녀(고등학교) 장학금 지급인원 (명) has unique valuesUnique
산재근로자자녀(고등학교) 장학금 지급금액 (천원) has unique valuesUnique
생활안정자금신용대부인원 (명) has unique valuesUnique
생활안정자금신용대부금액 (백만원) has unique valuesUnique
장해등급별 직장복귀 지원현황(1-3급) (천원) has 2 (9.1%) zerosZeros
장해등급별 재활운동 지원현황(4-9급) (천원) has 1 (4.5%) zerosZeros
산재근로자 창업점포 임대지원금액 (천원) has 2 (9.1%) zerosZeros

Reproduction

Analysis started2024-01-14 13:40:19.333631
Analysis finished2024-01-14 13:40:19.766529
Duration0.43 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연도
Real number (ℝ)

UNIQUE 

Distinct22
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2011.5
Minimum2001
Maximum2022
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size330.0 B
2024-01-14T22:40:19.852228image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2001
5-th percentile2002.05
Q12006.25
median2011.5
Q32016.75
95-th percentile2020.95
Maximum2022
Range21
Interquartile range (IQR)10.5

Descriptive statistics

Standard deviation6.4935866
Coefficient of variation (CV)0.003228231
Kurtosis-1.2
Mean2011.5
Median Absolute Deviation (MAD)5.5
Skewness0
Sum44253
Variance42.166667
MonotonicityStrictly increasing
2024-01-14T22:40:20.021577image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=22)
ValueCountFrequency (%)
2001 1
 
4.5%
2013 1
 
4.5%
2022 1
 
4.5%
2021 1
 
4.5%
2020 1
 
4.5%
2019 1
 
4.5%
2018 1
 
4.5%
2017 1
 
4.5%
2016 1
 
4.5%
2015 1
 
4.5%
Other values (12) 12
54.5%
ValueCountFrequency (%)
2001 1
4.5%
2002 1
4.5%
2003 1
4.5%
2004 1
4.5%
2005 1
4.5%
2006 1
4.5%
2007 1
4.5%
2008 1
4.5%
2009 1
4.5%
2010 1
4.5%
ValueCountFrequency (%)
2022 1
4.5%
2021 1
4.5%
2020 1
4.5%
2019 1
4.5%
2018 1
4.5%
2017 1
4.5%
2016 1
4.5%
2015 1
4.5%
2014 1
4.5%
2013 1
4.5%

직업재활급여 직장복귀지원금(천원)
Real number (ℝ)

MISSING 

Distinct18
Distinct (%)94.7%
Missing3
Missing (%)13.6%
Infinite0
Infinite (%)0.0%
Mean4661005.5
Minimum314060
Maximum8596777
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size330.0 B
2024-01-14T22:40:20.206442image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum314060
5-th percentile2014078.1
Q13006777
median4835448
Q36472939
95-th percentile7429501.3
Maximum8596777
Range8282717
Interquartile range (IQR)3466162

Descriptive statistics

Standard deviation2088194.5
Coefficient of variation (CV)0.44801374
Kurtosis-0.35266244
Mean4661005.5
Median Absolute Deviation (MAD)1920807
Skewness-0.063319295
Sum88559105
Variance4.3605563 × 1012
MonotonicityNot monotonic
2024-01-14T22:40:20.364324image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
6756255 2
 
9.1%
6189623 1
 
4.5%
3906380 1
 
4.5%
4124173 1
 
4.5%
3631293 1
 
4.5%
4835448 1
 
4.5%
5076790 1
 
4.5%
5429889 1
 
4.5%
5051034 1
 
4.5%
314060 1
 
4.5%
Other values (8) 8
36.4%
(Missing) 3
 
13.6%
ValueCountFrequency (%)
314060 1
4.5%
2202969 1
4.5%
2779938 1
4.5%
2791583 1
4.5%
2902469 1
4.5%
3111085 1
4.5%
3631293 1
4.5%
3906380 1
4.5%
4124173 1
4.5%
4835448 1
4.5%
ValueCountFrequency (%)
8596777 1
4.5%
7299804 1
4.5%
6803280 1
4.5%
6756255 2
9.1%
6189623 1
4.5%
5429889 1
4.5%
5076790 1
4.5%
5051034 1
4.5%
4835448 1
4.5%
4124173 1
4.5%

직업재활급여 직장적응(천원)
Real number (ℝ)

MISSING 

Distinct15
Distinct (%)100.0%
Missing7
Missing (%)31.8%
Infinite0
Infinite (%)0.0%
Mean21406.4
Minimum1350
Maximum72000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size330.0 B
2024-01-14T22:40:20.537035image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1350
5-th percentile1630
Q112750
median18488
Q320735.5
95-th percentile54969
Maximum72000
Range70650
Interquartile range (IQR)7985.5

Descriptive statistics

Standard deviation18827.655
Coefficient of variation (CV)0.87953391
Kurtosis2.8688479
Mean21406.4
Median Absolute Deviation (MAD)3888
Skewness1.602234
Sum321096
Variance3.5448058 × 108
MonotonicityNot monotonic
2024-01-14T22:40:20.683151image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=15)
ValueCountFrequency (%)
1750 1
 
4.5%
19671 1
 
4.5%
15105 1
 
4.5%
19102 1
 
4.5%
72000 1
 
4.5%
39755 1
 
4.5%
47670 1
 
4.5%
16712 1
 
4.5%
1350 1
 
4.5%
18488 1
 
4.5%
Other values (5) 5
22.7%
(Missing) 7
31.8%
ValueCountFrequency (%)
1350 1
4.5%
1750 1
4.5%
2733 1
4.5%
10900 1
4.5%
14600 1
4.5%
15105 1
4.5%
16712 1
4.5%
18488 1
4.5%
19102 1
4.5%
19460 1
4.5%
ValueCountFrequency (%)
72000 1
4.5%
47670 1
4.5%
39755 1
4.5%
21800 1
4.5%
19671 1
4.5%
19460 1
4.5%
19102 1
4.5%
18488 1
4.5%
16712 1
4.5%
15105 1
4.5%

직업재활급여 재활운동 (천원)
Real number (ℝ)

MISSING 

Distinct16
Distinct (%)100.0%
Missing6
Missing (%)27.3%
Infinite0
Infinite (%)0.0%
Mean6877.25
Minimum450
Maximum30553
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size330.0 B
2024-01-14T22:40:20.816414image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum450
5-th percentile693
Q11715.75
median4189.5
Q38022.75
95-th percentile20050
Maximum30553
Range30103
Interquartile range (IQR)6307

Descriptive statistics

Standard deviation7958.865
Coefficient of variation (CV)1.1572744
Kurtosis4.5771751
Mean6877.25
Median Absolute Deviation (MAD)2617.5
Skewness2.0720883
Sum110036
Variance63343532
MonotonicityNot monotonic
2024-01-14T22:40:20.957614image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
3380 1
 
4.5%
16549 1
 
4.5%
450 1
 
4.5%
1729 1
 
4.5%
774 1
 
4.5%
1468 1
 
4.5%
4307 1
 
4.5%
1676 1
 
4.5%
4208 1
 
4.5%
10734 1
 
4.5%
Other values (6) 6
27.3%
(Missing) 6
27.3%
ValueCountFrequency (%)
450 1
4.5%
774 1
4.5%
1468 1
4.5%
1676 1
4.5%
1729 1
4.5%
3372 1
4.5%
3380 1
4.5%
4171 1
4.5%
4208 1
4.5%
4307 1
4.5%
ValueCountFrequency (%)
30553 1
4.5%
16549 1
4.5%
15131 1
4.5%
10734 1
4.5%
7119 1
4.5%
4415 1
4.5%
4307 1
4.5%
4208 1
4.5%
4171 1
4.5%
3380 1
4.5%

장해등급별 직장복귀 지원현황(1-3급) (천원)
Real number (ℝ)

MISSING  ZEROS 

Distinct15
Distinct (%)83.3%
Missing4
Missing (%)18.2%
Infinite0
Infinite (%)0.0%
Mean16746.5
Minimum0
Maximum46073
Zeros2
Zeros (%)9.1%
Negative0
Negative (%)0.0%
Memory size330.0 B
2024-01-14T22:40:21.118335image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q18700
median14639.5
Q321390
95-th percentile35459.9
Maximum46073
Range46073
Interquartile range (IQR)12690

Descriptive statistics

Standard deviation12120.388
Coefficient of variation (CV)0.72375649
Kurtosis0.62690756
Mean16746.5
Median Absolute Deviation (MAD)7199.5
Skewness0.71852231
Sum301437
Variance1.4690381 × 108
MonotonicityNot monotonic
2024-01-14T22:40:21.263000image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=15)
ValueCountFrequency (%)
7200 2
 
9.1%
14400 2
 
9.1%
0 2
 
9.1%
1857 1
 
4.5%
14879 1
 
4.5%
46073 1
 
4.5%
26637 1
 
4.5%
20753 1
 
4.5%
30640 1
 
4.5%
14976 1
 
4.5%
Other values (5) 5
22.7%
(Missing) 4
18.2%
ValueCountFrequency (%)
0 2
9.1%
1857 1
4.5%
7200 2
9.1%
13200 1
4.5%
13273 1
4.5%
14400 2
9.1%
14879 1
4.5%
14976 1
4.5%
20753 1
4.5%
20763 1
4.5%
ValueCountFrequency (%)
46073 1
4.5%
33587 1
4.5%
30640 1
4.5%
26637 1
4.5%
21599 1
4.5%
20763 1
4.5%
20753 1
4.5%
14976 1
4.5%
14879 1
4.5%
14400 2
9.1%

장해등급별 직장복귀 지원현황(4-9급) (천원)
Real number (ℝ)

MISSING 

Distinct19
Distinct (%)100.0%
Missing3
Missing (%)13.6%
Infinite0
Infinite (%)0.0%
Mean1853675.6
Minimum312203
Maximum3407959
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size330.0 B
2024-01-14T22:40:21.379436image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum312203
5-th percentile749269.1
Q11134316.5
median2009157
Q32595830
95-th percentile3129825.7
Maximum3407959
Range3095756
Interquartile range (IQR)1461513.5

Descriptive statistics

Standard deviation903599.58
Coefficient of variation (CV)0.48746371
Kurtosis-1.1609633
Mean1853675.6
Median Absolute Deviation (MAD)785434
Skewness0.045376362
Sum35219836
Variance8.164922 × 1011
MonotonicityNot monotonic
2024-01-14T22:40:21.497513image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
2188090 1
 
4.5%
797832 1
 
4.5%
807493 1
 
4.5%
853396 1
 
4.5%
1144586 1
 
4.5%
1246974 1
 
4.5%
1371151 1
 
4.5%
1124047 1
 
4.5%
1603807 1
 
4.5%
312203 1
 
4.5%
Other values (9) 9
40.9%
(Missing) 3
 
13.6%
ValueCountFrequency (%)
312203 1
4.5%
797832 1
4.5%
807493 1
4.5%
853396 1
4.5%
1124047 1
4.5%
1144586 1
4.5%
1246974 1
4.5%
1371151 1
4.5%
1603807 1
4.5%
2009157 1
4.5%
ValueCountFrequency (%)
3407959 1
4.5%
3098922 1
4.5%
2879258 1
4.5%
2794591 1
4.5%
2733865 1
4.5%
2457795 1
4.5%
2216026 1
4.5%
2188090 1
4.5%
2172684 1
4.5%
2009157 1
4.5%

장해등급별 직장복귀 지원현황(10-12급) (천원)
Real number (ℝ)

MISSING 

Distinct13
Distinct (%)100.0%
Missing9
Missing (%)40.9%
Infinite0
Infinite (%)0.0%
Mean3785190.3
Minimum138439
Maximum5296494
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size330.0 B
2024-01-14T22:40:21.633565image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum138439
5-th percentile1701961.6
Q13316680
median3948855
Q34617694
95-th percentile5284434.6
Maximum5296494
Range5158055
Interquartile range (IQR)1301014

Descriptive statistics

Standard deviation1345354
Coefficient of variation (CV)0.35542571
Kurtosis4.0629691
Mean3785190.3
Median Absolute Deviation (MAD)668839
Skewness-1.6809665
Sum49207474
Variance1.8099773 × 1012
MonotonicityNot monotonic
2024-01-14T22:40:21.779518image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%)
138439 1
 
4.5%
5276395 1
 
4.5%
4617694 1
 
4.5%
4627643 1
 
4.5%
5296494 1
 
4.5%
4584381 1
 
4.5%
3948855 1
 
4.5%
4052579 1
 
4.5%
3817867 1
 
4.5%
3677589 1
 
4.5%
Other values (3) 3
 
13.6%
(Missing) 9
40.9%
ValueCountFrequency (%)
138439 1
4.5%
2744310 1
4.5%
3108548 1
4.5%
3316680 1
4.5%
3677589 1
4.5%
3817867 1
4.5%
3948855 1
4.5%
4052579 1
4.5%
4584381 1
4.5%
4617694 1
4.5%
ValueCountFrequency (%)
5296494 1
4.5%
5276395 1
4.5%
4627643 1
4.5%
4617694 1
4.5%
4584381 1
4.5%
4052579 1
4.5%
3948855 1
4.5%
3817867 1
4.5%
3677589 1
4.5%
3316680 1
4.5%

장해등급별 직장적응훈련현황(1-3급) (천원)
Categorical

IMBALANCE 

Distinct2
Distinct (%)9.1%
Missing0
Missing (%)0.0%
Memory size308.0 B
<NA>
20 
0
 
2

Length

Max length4
Median length4
Mean length3.7272727
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 20
90.9%
0 2
 
9.1%

Length

2024-01-14T22:40:21.936630image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-14T22:40:22.087488image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 20
90.9%
0 2
 
9.1%

장해등급별 직장적응훈련현황(4-9급) (천원)
Real number (ℝ)

MISSING 

Distinct13
Distinct (%)100.0%
Missing9
Missing (%)40.9%
Infinite0
Infinite (%)0.0%
Mean5932
Minimum450
Maximum19671
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size330.0 B
2024-01-14T22:40:22.246503image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum450
5-th percentile694.2
Q11152
median2950
Q35475
95-th percentile17988.6
Maximum19671
Range19221
Interquartile range (IQR)4323

Descriptive statistics

Standard deviation6696.2219
Coefficient of variation (CV)1.1288304
Kurtosis0.20203884
Mean5932
Median Absolute Deviation (MAD)2093
Skewness1.3123335
Sum77116
Variance44839387
MonotonicityNot monotonic
2024-01-14T22:40:22.805653image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%)
1750 1
 
4.5%
19671 1
 
4.5%
15105 1
 
4.5%
16867 1
 
4.5%
5475 1
 
4.5%
4008 1
 
4.5%
1152 1
 
4.5%
857 1
 
4.5%
1081 1
 
4.5%
5400 1
 
4.5%
Other values (3) 3
 
13.6%
(Missing) 9
40.9%
ValueCountFrequency (%)
450 1
4.5%
857 1
4.5%
1081 1
4.5%
1152 1
4.5%
1750 1
4.5%
2350 1
4.5%
2950 1
4.5%
4008 1
4.5%
5400 1
4.5%
5475 1
4.5%
ValueCountFrequency (%)
19671 1
4.5%
16867 1
4.5%
15105 1
4.5%
5475 1
4.5%
5400 1
4.5%
4008 1
4.5%
2950 1
4.5%
2350 1
4.5%
1750 1
4.5%
1152 1
4.5%

장해등급별 직장적응훈련현황(10-12급) (천원)
Real number (ℝ)

MISSING 

Distinct12
Distinct (%)100.0%
Missing10
Missing (%)45.5%
Infinite0
Infinite (%)0.0%
Mean20331.667
Minimum1350
Maximum66525
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size330.0 B
2024-01-14T22:40:22.985447image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1350
5-th percentile1836.75
Q17095.75
median15002.5
Q323074.25
95-th percentile55521.15
Maximum66525
Range65175
Interquartile range (IQR)15978.5

Descriptive statistics

Standard deviation19775.629
Coefficient of variation (CV)0.97265166
Kurtosis1.5670602
Mean20331.667
Median Absolute Deviation (MAD)9361
Skewness1.4068527
Sum243980
Variance3.9107552 × 108
MonotonicityNot monotonic
2024-01-14T22:40:23.114620image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
2235 1
 
4.5%
66525 1
 
4.5%
35747 1
 
4.5%
46518 1
 
4.5%
15855 1
 
4.5%
1350 1
 
4.5%
17407 1
 
4.5%
2733 1
 
4.5%
14060 1
 
4.5%
18850 1
 
4.5%
Other values (2) 2
 
9.1%
(Missing) 10
45.5%
ValueCountFrequency (%)
1350 1
4.5%
2235 1
4.5%
2733 1
4.5%
8550 1
4.5%
14060 1
4.5%
14150 1
4.5%
15855 1
4.5%
17407 1
4.5%
18850 1
4.5%
35747 1
4.5%
ValueCountFrequency (%)
66525 1
4.5%
46518 1
4.5%
35747 1
4.5%
18850 1
4.5%
17407 1
4.5%
15855 1
4.5%
14150 1
4.5%
14060 1
4.5%
8550 1
4.5%
2733 1
4.5%

장해등급별 재활운동지원현황(1-3급) (천원)
Categorical

IMBALANCE 

Distinct2
Distinct (%)9.1%
Missing0
Missing (%)0.0%
Memory size308.0 B
<NA>
20 
0
 
2

Length

Max length4
Median length4
Mean length3.7272727
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 20
90.9%
0 2
 
9.1%

Length

2024-01-14T22:40:23.269364image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-14T22:40:23.394051image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 20
90.9%
0 2
 
9.1%

장해등급별 재활운동 지원현황(4-9급) (천원)
Real number (ℝ)

MISSING  ZEROS 

Distinct14
Distinct (%)100.0%
Missing8
Missing (%)36.4%
Infinite0
Infinite (%)0.0%
Mean1528.1429
Minimum0
Maximum4208
Zeros1
Zeros (%)4.5%
Negative0
Negative (%)0.0%
Memory size330.0 B
2024-01-14T22:40:23.521965image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile32.5
Q1359
median1144.5
Q32869.75
95-th percentile3664.6
Maximum4208
Range4208
Interquartile range (IQR)2510.75

Descriptive statistics

Standard deviation1448.5335
Coefficient of variation (CV)0.94790452
Kurtosis-1.0135072
Mean1528.1429
Median Absolute Deviation (MAD)921.5
Skewness0.68146552
Sum21394
Variance2098249.4
MonotonicityNot monotonic
2024-01-14T22:40:23.654643image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
1676 1
 
4.5%
4208 1
 
4.5%
3372 1
 
4.5%
3352 1
 
4.5%
3253 1
 
4.5%
1720 1
 
4.5%
346 1
 
4.5%
1137 1
 
4.5%
630 1
 
4.5%
50 1
 
4.5%
Other values (4) 4
18.2%
(Missing) 8
36.4%
ValueCountFrequency (%)
0 1
4.5%
50 1
4.5%
100 1
4.5%
346 1
4.5%
398 1
4.5%
630 1
4.5%
1137 1
4.5%
1152 1
4.5%
1676 1
4.5%
1720 1
4.5%
ValueCountFrequency (%)
4208 1
4.5%
3372 1
4.5%
3352 1
4.5%
3253 1
4.5%
1720 1
4.5%
1676 1
4.5%
1152 1
4.5%
1137 1
4.5%
630 1
4.5%
398 1
4.5%

장해등급별 재활운동 지원현황(10-12급) (천원)
Real number (ℝ)

MISSING 

Distinct13
Distinct (%)100.0%
Missing9
Missing (%)40.9%
Infinite0
Infinite (%)0.0%
Mean6818.6154
Minimum450
Maximum27300
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size330.0 B
2024-01-14T22:40:23.785971image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum450
5-th percentile644.4
Q11070
median3785
Q39597
95-th percentile20158.2
Maximum27300
Range26850
Interquartile range (IQR)8527

Descriptive statistics

Standard deviation7879.3454
Coefficient of variation (CV)1.1555638
Kurtosis2.858533
Mean6818.6154
Median Absolute Deviation (MAD)2988
Skewness1.6951253
Sum88642
Variance62084085
MonotonicityNot monotonic
2024-01-14T22:40:23.946667image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%)
819 1
 
4.5%
27300 1
 
4.5%
13411 1
 
4.5%
6773 1
 
4.5%
9597 1
 
4.5%
3785 1
 
4.5%
3330 1
 
4.5%
4307 1
 
4.5%
1070 1
 
4.5%
774 1
 
4.5%
Other values (3) 3
 
13.6%
(Missing) 9
40.9%
ValueCountFrequency (%)
450 1
4.5%
774 1
4.5%
819 1
4.5%
1070 1
4.5%
1629 1
4.5%
3330 1
4.5%
3785 1
4.5%
4307 1
4.5%
6773 1
4.5%
9597 1
4.5%
ValueCountFrequency (%)
27300 1
4.5%
15397 1
4.5%
13411 1
4.5%
9597 1
4.5%
6773 1
4.5%
4307 1
4.5%
3785 1
4.5%
3330 1
4.5%
1629 1
4.5%
1070 1
4.5%

직업재활급여 직업훈련 (천원)
Real number (ℝ)

MISSING 

Distinct14
Distinct (%)100.0%
Missing8
Missing (%)36.4%
Infinite0
Infinite (%)0.0%
Mean10776449
Minimum1161029
Maximum18597989
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size330.0 B
2024-01-14T22:40:24.134929image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1161029
5-th percentile1991283.8
Q18625949.2
median9644131
Q315650463
95-th percentile18373438
Maximum18597989
Range17436960
Interquartile range (IQR)7024514

Descriptive statistics

Standard deviation5449798.6
Coefficient of variation (CV)0.50571378
Kurtosis-0.67315735
Mean10776449
Median Absolute Deviation (MAD)3632483
Skewness-0.16316822
Sum1.5087028 × 108
Variance2.9700305 × 1013
MonotonicityNot monotonic
2024-01-14T22:40:24.309056image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
1161029 1
 
4.5%
2438344 1
 
4.5%
6349272 1
 
4.5%
11726025 1
 
4.5%
13614238 1
 
4.5%
9539830 1
 
4.5%
8792690 1
 
4.5%
9169068 1
 
4.5%
8570369 1
 
4.5%
9748432 1
 
4.5%
Other values (4) 4
18.2%
(Missing) 8
36.4%
ValueCountFrequency (%)
1161029 1
4.5%
2438344 1
4.5%
6349272 1
4.5%
8570369 1
4.5%
8792690 1
4.5%
9169068 1
4.5%
9539830 1
4.5%
9748432 1
4.5%
11726025 1
4.5%
13614238 1
4.5%
ValueCountFrequency (%)
18597989 1
4.5%
18252526 1
4.5%
16581267 1
4.5%
16329205 1
4.5%
13614238 1
4.5%
11726025 1
4.5%
9748432 1
4.5%
9539830 1
4.5%
9169068 1
4.5%
8792690 1
4.5%

산재보상기금 출연금 직업훈련 (천원)
Real number (ℝ)

UNIQUE 

Distinct22
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4186780
Minimum309315
Maximum17171348
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size330.0 B
2024-01-14T22:40:24.448801image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum309315
5-th percentile909268.3
Q11158500
median1606184
Q35588506.5
95-th percentile12461599
Maximum17171348
Range16862033
Interquartile range (IQR)4430006.5

Descriptive statistics

Standard deviation4586430.2
Coefficient of variation (CV)1.0954552
Kurtosis1.9545396
Mean4186780
Median Absolute Deviation (MAD)642701
Skewness1.6088751
Sum92109161
Variance2.1035342 × 1013
MonotonicityNot monotonic
2024-01-14T22:40:24.571855image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=22)
ValueCountFrequency (%)
2186600 1
 
4.5%
1663368 1
 
4.5%
309315 1
 
4.5%
1166000 1
 
4.5%
1393000 1
 
4.5%
1549000 1
 
4.5%
1156000 1
 
4.5%
1062604 1
 
4.5%
1146356 1
 
4.5%
901198 1
 
4.5%
Other values (12) 12
54.5%
ValueCountFrequency (%)
309315 1
4.5%
901198 1
4.5%
1062604 1
4.5%
1097054 1
4.5%
1146356 1
4.5%
1156000 1
4.5%
1166000 1
4.5%
1285321 1
4.5%
1327366 1
4.5%
1393000 1
4.5%
ValueCountFrequency (%)
17171348 1
4.5%
12513321 1
4.5%
11478885 1
4.5%
9444010 1
4.5%
6239880 1
4.5%
5788477 1
4.5%
4988595 1
4.5%
4878564 1
4.5%
3362899 1
4.5%
2186600 1
4.5%

산재노동자 직업훈련 전체 (천원)
Real number (ℝ)

UNIQUE 

Distinct22
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean11044498
Minimum2186600
Maximum19990989
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size330.0 B
2024-01-14T22:40:24.709990image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2186600
5-th percentile4884065.5
Q17469841.2
median10570288
Q314663974
95-th percentile19698813
Maximum19990989
Range17804389
Interquartile range (IQR)7194133

Descriptive statistics

Standard deviation5041645.2
Coefficient of variation (CV)0.4564848
Kurtosis-0.75179388
Mean11044498
Median Absolute Deviation (MAD)3938348.5
Skewness0.2621309
Sum2.4297894 × 108
Variance2.5418187 × 1013
MonotonicityNot monotonic
2024-01-14T22:40:24.878224image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=22)
ValueCountFrequency (%)
2186600 1
 
4.5%
15277606 1
 
4.5%
16638520 1
 
4.5%
17747267 1
 
4.5%
19990989 1
 
4.5%
19801526 1
 
4.5%
10904432 1
 
4.5%
9632973 1
 
4.5%
10315424 1
 
4.5%
9693388 1
 
4.5%
Other values (12) 12
54.5%
ValueCountFrequency (%)
2186600 1
4.5%
4878564 1
4.5%
4988595 1
4.5%
5788477 1
4.5%
5801243 1
4.5%
7400909 1
4.5%
7676638 1
4.5%
9444010 1
4.5%
9632973 1
4.5%
9693388 1
4.5%
ValueCountFrequency (%)
19990989 1
4.5%
19801526 1
4.5%
17747267 1
4.5%
17171348 1
4.5%
16638520 1
4.5%
15277606 1
4.5%
12823079 1
4.5%
12513321 1
4.5%
11478885 1
4.5%
10904432 1
4.5%

직업훈련비용지원 위탁훈련 선발인원 (명)
Real number (ℝ)

UNIQUE 

Distinct22
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3095.3636
Minimum1655
Maximum5731
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size330.0 B
2024-01-14T22:40:25.026636image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1655
5-th percentile1694.8
Q12207
median2788.5
Q33629.5
95-th percentile5665.3
Maximum5731
Range4076
Interquartile range (IQR)1422.5

Descriptive statistics

Standard deviation1301.0001
Coefficient of variation (CV)0.42030608
Kurtosis-0.25987583
Mean3095.3636
Median Absolute Deviation (MAD)770
Skewness0.89608734
Sum68098
Variance1692601.4
MonotonicityNot monotonic
2024-01-14T22:40:25.162904image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=22)
ValueCountFrequency (%)
1655 1
 
4.5%
3535 1
 
4.5%
1779 1
 
4.5%
1710 1
 
4.5%
2210 1
 
4.5%
2764 1
 
4.5%
2485 1
 
4.5%
1694 1
 
4.5%
2206 1
 
4.5%
2294 1
 
4.5%
Other values (12) 12
54.5%
ValueCountFrequency (%)
1655 1
4.5%
1694 1
4.5%
1710 1
4.5%
1779 1
4.5%
1995 1
4.5%
2206 1
4.5%
2210 1
4.5%
2212 1
4.5%
2294 1
4.5%
2485 1
4.5%
ValueCountFrequency (%)
5731 1
4.5%
5680 1
4.5%
5386 1
4.5%
4464 1
4.5%
4384 1
4.5%
3661 1
4.5%
3535 1
4.5%
3379 1
4.5%
3223 1
4.5%
2838 1
4.5%

직업훈련비용지원 위탁훈련 수료인원 (명)
Real number (ℝ)

UNIQUE 

Distinct22
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2258.5
Minimum898
Maximum4806
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size330.0 B
2024-01-14T22:40:25.620612image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum898
5-th percentile1125.25
Q11624.5
median2037
Q32553
95-th percentile4003.15
Maximum4806
Range3908
Interquartile range (IQR)928.5

Descriptive statistics

Standard deviation956.56079
Coefficient of variation (CV)0.4235381
Kurtosis1.3094803
Mean2258.5
Median Absolute Deviation (MAD)458.5
Skewness1.1912172
Sum49687
Variance915008.55
MonotonicityNot monotonic
2024-01-14T22:40:25.797060image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=22)
ValueCountFrequency (%)
1109 1
 
4.5%
2397 1
 
4.5%
1491 1
 
4.5%
1771 1
 
4.5%
1900 1
 
4.5%
1998 1
 
4.5%
898 1
 
4.5%
1597 1
 
4.5%
1434 1
 
4.5%
1560 1
 
4.5%
Other values (12) 12
54.5%
ValueCountFrequency (%)
898 1
4.5%
1109 1
4.5%
1434 1
4.5%
1491 1
4.5%
1560 1
4.5%
1597 1
4.5%
1707 1
4.5%
1771 1
4.5%
1900 1
4.5%
1972 1
4.5%
ValueCountFrequency (%)
4806 1
4.5%
4024 1
4.5%
3607 1
4.5%
3361 1
4.5%
2707 1
4.5%
2605 1
4.5%
2397 1
4.5%
2303 1
4.5%
2191 1
4.5%
2173 1
4.5%

직업훈련비용지원 위탁훈련 취업자 (명)
Real number (ℝ)

UNIQUE 

Distinct22
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1219
Minimum353
Maximum2976
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size330.0 B
2024-01-14T22:40:25.966263image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum353
5-th percentile396.15
Q1796
median997.5
Q31472.25
95-th percentile2620
Maximum2976
Range2623
Interquartile range (IQR)676.25

Descriptive statistics

Standard deviation704.88128
Coefficient of variation (CV)0.57824551
Kurtosis1.0172849
Mean1219
Median Absolute Deviation (MAD)267
Skewness1.2249658
Sum26818
Variance496857.62
MonotonicityNot monotonic
2024-01-14T22:40:26.105346image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=22)
ValueCountFrequency (%)
353 1
 
4.5%
1003 1
 
4.5%
778 1
 
4.5%
869 1
 
4.5%
1142 1
 
4.5%
1204 1
 
4.5%
394 1
 
4.5%
917 1
 
4.5%
740 1
 
4.5%
850 1
 
4.5%
Other values (12) 12
54.5%
ValueCountFrequency (%)
353 1
4.5%
394 1
4.5%
437 1
4.5%
721 1
4.5%
740 1
4.5%
778 1
4.5%
850 1
4.5%
869 1
4.5%
917 1
4.5%
924 1
4.5%
ValueCountFrequency (%)
2976 1
4.5%
2629 1
4.5%
2449 1
4.5%
1779 1
4.5%
1635 1
4.5%
1534 1
4.5%
1287 1
4.5%
1205 1
4.5%
1204 1
4.5%
1142 1
4.5%

직업훈련비용지원 위탁훈련 중도탈락 (명)
Real number (ℝ)

Distinct21
Distinct (%)95.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean234.68182
Minimum67
Maximum705
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size330.0 B
2024-01-14T22:40:26.235363image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum67
5-th percentile74.75
Q1118
median228
Q3291.75
95-th percentile538.3
Maximum705
Range638
Interquartile range (IQR)173.75

Descriptive statistics

Standard deviation156.79054
Coefficient of variation (CV)0.66809839
Kurtosis3.0248129
Mean234.68182
Median Absolute Deviation (MAD)101
Skewness1.5883857
Sum5163
Variance24583.275
MonotonicityNot monotonic
2024-01-14T22:40:26.351655image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
160 2
 
9.1%
223 1
 
4.5%
233 1
 
4.5%
67 1
 
4.5%
74 1
 
4.5%
101 1
 
4.5%
117 1
 
4.5%
121 1
 
4.5%
89 1
 
4.5%
138 1
 
4.5%
Other values (11) 11
50.0%
ValueCountFrequency (%)
67 1
4.5%
74 1
4.5%
89 1
4.5%
100 1
4.5%
101 1
4.5%
117 1
4.5%
121 1
4.5%
138 1
4.5%
160 2
9.1%
223 1
4.5%
ValueCountFrequency (%)
705 1
4.5%
548 1
4.5%
354 1
4.5%
330 1
4.5%
328 1
4.5%
300 1
4.5%
267 1
4.5%
262 1
4.5%
249 1
4.5%
237 1
4.5%

합병증 진료카드발급자 (명)
Real number (ℝ)

UNIQUE 

Distinct22
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean17103.5
Minimum6085
Maximum21101
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size330.0 B
2024-01-14T22:40:26.509308image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum6085
5-th percentile13482.1
Q116115.25
median17666
Q319218
95-th percentile20680.6
Maximum21101
Range15016
Interquartile range (IQR)3102.75

Descriptive statistics

Standard deviation3223.6284
Coefficient of variation (CV)0.1884777
Kurtosis5.7139367
Mean17103.5
Median Absolute Deviation (MAD)1677
Skewness-1.9203147
Sum376277
Variance10391780
MonotonicityNot monotonic
2024-01-14T22:40:26.670329image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=22)
ValueCountFrequency (%)
6085 1
 
4.5%
18336 1
 
4.5%
17769 1
 
4.5%
17563 1
 
4.5%
16526 1
 
4.5%
16857 1
 
4.5%
15156 1
 
4.5%
16326 1
 
4.5%
20046 1
 
4.5%
19920 1
 
4.5%
Other values (12) 12
54.5%
ValueCountFrequency (%)
6085 1
4.5%
13433 1
4.5%
14415 1
4.5%
14935 1
4.5%
15156 1
4.5%
16045 1
4.5%
16326 1
4.5%
16526 1
4.5%
16614 1
4.5%
16857 1
4.5%
ValueCountFrequency (%)
21101 1
4.5%
20714 1
4.5%
20046 1
4.5%
19920 1
4.5%
19681 1
4.5%
19399 1
4.5%
18675 1
4.5%
18487 1
4.5%
18336 1
4.5%
18194 1
4.5%

합병증 진료카드 수급자 (명)
Real number (ℝ)

UNIQUE 

Distinct22
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean32732.273
Minimum1687
Maximum42835
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size330.0 B
2024-01-14T22:40:26.839507image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1687
5-th percentile7662.45
Q131569.25
median36834.5
Q341332.25
95-th percentile42707.85
Maximum42835
Range41148
Interquartile range (IQR)9763

Descriptive statistics

Standard deviation11738.13
Coefficient of variation (CV)0.35861029
Kurtosis1.6714347
Mean32732.273
Median Absolute Deviation (MAD)4631.5
Skewness-1.564447
Sum720110
Variance1.3778369 × 108
MonotonicityNot monotonic
2024-01-14T22:40:26.987862image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=22)
ValueCountFrequency (%)
1687 1
 
4.5%
36109 1
 
4.5%
42729 1
 
4.5%
42835 1
 
4.5%
42306 1
 
4.5%
41506 1
 
4.5%
39775 1
 
4.5%
41426 1
 
4.5%
41550 1
 
4.5%
41051 1
 
4.5%
Other values (12) 12
54.5%
ValueCountFrequency (%)
1687 1
4.5%
7313 1
4.5%
14302 1
4.5%
20481 1
4.5%
26346 1
4.5%
31038 1
4.5%
33163 1
4.5%
33499 1
4.5%
33861 1
4.5%
34612 1
4.5%
ValueCountFrequency (%)
42835 1
4.5%
42729 1
4.5%
42306 1
4.5%
41550 1
4.5%
41506 1
4.5%
41426 1
4.5%
41051 1
4.5%
39775 1
4.5%
39167 1
4.5%
37794 1
4.5%

합병증 등 예방관리제도 지급액 (천원)
Real number (ℝ)

UNIQUE 

Distinct22
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean34170317
Minimum893447
Maximum55652933
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size330.0 B
2024-01-14T22:40:27.142291image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum893447
5-th percentile4423693.2
Q122576894
median37500206
Q347412998
95-th percentile53277556
Maximum55652933
Range54759486
Interquartile range (IQR)24836104

Descriptive statistics

Standard deviation16804592
Coefficient of variation (CV)0.49178917
Kurtosis-0.679138
Mean34170317
Median Absolute Deviation (MAD)11472430
Skewness-0.68529557
Sum7.5174697 × 108
Variance2.823943 × 1014
MonotonicityNot monotonic
2024-01-14T22:40:27.301620image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=22)
ValueCountFrequency (%)
893447 1
 
4.5%
39268642 1
 
4.5%
53277283 1
 
4.5%
53277570 1
 
4.5%
50832276 1
 
4.5%
55652933 1
 
4.5%
49526565 1
 
4.5%
48418707 1
 
4.5%
44395870 1
 
4.5%
44045153 1
 
4.5%
Other values (12) 12
54.5%
ValueCountFrequency (%)
893447 1
4.5%
4212816 1
4.5%
8430361 1
4.5%
12307332 1
4.5%
16057793 1
4.5%
20276189 1
4.5%
29479008 1
4.5%
33194486 1
4.5%
33244966 1
4.5%
37314087 1
4.5%
ValueCountFrequency (%)
55652933 1
4.5%
53277570 1
4.5%
53277283 1
4.5%
50832276 1
4.5%
49526565 1
4.5%
48418707 1
4.5%
44395870 1
4.5%
44045153 1
4.5%
42641069 1
4.5%
39268642 1
4.5%

내일찾기 서비스 총상담자 (명)
Real number (ℝ)

MISSING 

Distinct10
Distinct (%)100.0%
Missing12
Missing (%)54.5%
Infinite0
Infinite (%)0.0%
Mean42636.8
Minimum22570
Maximum58305
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size330.0 B
2024-01-14T22:40:27.466388image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum22570
5-th percentile27513.7
Q134997
median39537.5
Q353843
95-th percentile56634.15
Maximum58305
Range35735
Interquartile range (IQR)18846

Descriptive statistics

Standard deviation11759.625
Coefficient of variation (CV)0.27580927
Kurtosis-1.086451
Mean42636.8
Median Absolute Deviation (MAD)9645.5
Skewness-0.13746017
Sum426368
Variance1.3828877 × 108
MonotonicityNot monotonic
2024-01-14T22:40:27.607368image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
22570 1
 
4.5%
33556 1
 
4.5%
34370 1
 
4.5%
36993 1
 
4.5%
52847 1
 
4.5%
54175 1
 
4.5%
58305 1
 
4.5%
54592 1
 
4.5%
36878 1
 
4.5%
42082 1
 
4.5%
(Missing) 12
54.5%
ValueCountFrequency (%)
22570 1
4.5%
33556 1
4.5%
34370 1
4.5%
36878 1
4.5%
36993 1
4.5%
42082 1
4.5%
52847 1
4.5%
54175 1
4.5%
54592 1
4.5%
58305 1
4.5%
ValueCountFrequency (%)
58305 1
4.5%
54592 1
4.5%
54175 1
4.5%
52847 1
4.5%
42082 1
4.5%
36993 1
4.5%
36878 1
4.5%
34370 1
4.5%
33556 1
4.5%
22570 1
4.5%

내일찾기 서비스 사례관리 대상자 (명)
Real number (ℝ)

MISSING 

Distinct10
Distinct (%)100.0%
Missing12
Missing (%)54.5%
Infinite0
Infinite (%)0.0%
Mean6384.2
Minimum3614
Maximum8786
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size330.0 B
2024-01-14T22:40:27.747103image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3614
5-th percentile3804.35
Q15042.75
median6471.5
Q37980.25
95-th percentile8636.6
Maximum8786
Range5172
Interquartile range (IQR)2937.5

Descriptive statistics

Standard deviation1894.6995
Coefficient of variation (CV)0.29677947
Kurtosis-1.6551491
Mean6384.2
Median Absolute Deviation (MAD)1584
Skewness-0.16886787
Sum63842
Variance3589886.2
MonotonicityNot monotonic
2024-01-14T22:40:27.923092image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
4937 1
 
4.5%
5617 1
 
4.5%
3614 1
 
4.5%
4037 1
 
4.5%
5360 1
 
4.5%
7606 1
 
4.5%
7326 1
 
4.5%
8105 1
 
4.5%
8454 1
 
4.5%
8786 1
 
4.5%
(Missing) 12
54.5%
ValueCountFrequency (%)
3614 1
4.5%
4037 1
4.5%
4937 1
4.5%
5360 1
4.5%
5617 1
4.5%
7326 1
4.5%
7606 1
4.5%
8105 1
4.5%
8454 1
4.5%
8786 1
4.5%
ValueCountFrequency (%)
8786 1
4.5%
8454 1
4.5%
8105 1
4.5%
7606 1
4.5%
7326 1
4.5%
5617 1
4.5%
5360 1
4.5%
4937 1
4.5%
4037 1
4.5%
3614 1
4.5%

내일찾기 서비스 직업평가 (명)
Real number (ℝ)

MISSING 

Distinct10
Distinct (%)100.0%
Missing12
Missing (%)54.5%
Infinite0
Infinite (%)0.0%
Mean5460.1
Minimum2617
Maximum8296
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size330.0 B
2024-01-14T22:40:28.065718image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2617
5-th percentile2802.85
Q13511
median5804.5
Q36933
95-th percentile8246.95
Maximum8296
Range5679
Interquartile range (IQR)3422

Descriptive statistics

Standard deviation2147.5544
Coefficient of variation (CV)0.39331778
Kurtosis-1.7186247
Mean5460.1
Median Absolute Deviation (MAD)2240.5
Skewness-0.022348073
Sum54601
Variance4611989.9
MonotonicityNot monotonic
2024-01-14T22:40:28.174320image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
3030 1
 
4.5%
3670 1
 
4.5%
2617 1
 
4.5%
3458 1
 
4.5%
5258 1
 
4.5%
6999 1
 
4.5%
6735 1
 
4.5%
8187 1
 
4.5%
8296 1
 
4.5%
6351 1
 
4.5%
(Missing) 12
54.5%
ValueCountFrequency (%)
2617 1
4.5%
3030 1
4.5%
3458 1
4.5%
3670 1
4.5%
5258 1
4.5%
6351 1
4.5%
6735 1
4.5%
6999 1
4.5%
8187 1
4.5%
8296 1
4.5%
ValueCountFrequency (%)
8296 1
4.5%
8187 1
4.5%
6999 1
4.5%
6735 1
4.5%
6351 1
4.5%
5258 1
4.5%
3670 1
4.5%
3458 1
4.5%
3030 1
4.5%
2617 1
4.5%

내일찾기 서비스 사례관리 계획수립 (명)
Real number (ℝ)

MISSING 

Distinct10
Distinct (%)100.0%
Missing12
Missing (%)54.5%
Infinite0
Infinite (%)0.0%
Mean5584.8
Minimum2970
Maximum8341
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size330.0 B
2024-01-14T22:40:28.302782image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2970
5-th percentile2997.45
Q13564.25
median5847
Q37218.75
95-th percentile8301.85
Maximum8341
Range5371
Interquartile range (IQR)3654.5

Descriptive statistics

Standard deviation2132.312
Coefficient of variation (CV)0.38180634
Kurtosis-1.8075585
Mean5584.8
Median Absolute Deviation (MAD)2203.5
Skewness-0.022266997
Sum55848
Variance4546754.6
MonotonicityNot monotonic
2024-01-14T22:40:28.736739image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
2970 1
 
4.5%
3485 1
 
4.5%
3031 1
 
4.5%
3802 1
 
4.5%
5493 1
 
4.5%
7302 1
 
4.5%
6969 1
 
4.5%
8254 1
 
4.5%
8341 1
 
4.5%
6201 1
 
4.5%
(Missing) 12
54.5%
ValueCountFrequency (%)
2970 1
4.5%
3031 1
4.5%
3485 1
4.5%
3802 1
4.5%
5493 1
4.5%
6201 1
4.5%
6969 1
4.5%
7302 1
4.5%
8254 1
4.5%
8341 1
4.5%
ValueCountFrequency (%)
8341 1
4.5%
8254 1
4.5%
7302 1
4.5%
6969 1
4.5%
6201 1
4.5%
5493 1
4.5%
3802 1
4.5%
3485 1
4.5%
3031 1
4.5%
2970 1
4.5%

내일찾기서비스 직업배치 (명)
Real number (ℝ)

MISSING 

Distinct10
Distinct (%)100.0%
Missing12
Missing (%)54.5%
Infinite0
Infinite (%)0.0%
Mean3053.6
Minimum683
Maximum5445
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size330.0 B
2024-01-14T22:40:29.221234image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum683
5-th percentile933.65
Q11707
median2848.5
Q34364.25
95-th percentile5356.35
Maximum5445
Range4762
Interquartile range (IQR)2657.25

Descriptive statistics

Standard deviation1682.1784
Coefficient of variation (CV)0.55088369
Kurtosis-1.3618203
Mean3053.6
Median Absolute Deviation (MAD)1465.5
Skewness0.13343135
Sum30536
Variance2829724.3
MonotonicityStrictly increasing
2024-01-14T22:40:29.621246image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
683 1
 
4.5%
1240 1
 
4.5%
1526 1
 
4.5%
2250 1
 
4.5%
2668 1
 
4.5%
3029 1
 
4.5%
3942 1
 
4.5%
4505 1
 
4.5%
5248 1
 
4.5%
5445 1
 
4.5%
(Missing) 12
54.5%
ValueCountFrequency (%)
683 1
4.5%
1240 1
4.5%
1526 1
4.5%
2250 1
4.5%
2668 1
4.5%
3029 1
4.5%
3942 1
4.5%
4505 1
4.5%
5248 1
4.5%
5445 1
4.5%
ValueCountFrequency (%)
5445 1
4.5%
5248 1
4.5%
4505 1
4.5%
3942 1
4.5%
3029 1
4.5%
2668 1
4.5%
2250 1
4.5%
1526 1
4.5%
1240 1
4.5%
683 1
4.5%

내일찾기 서비스 최초요양승인자 (명)
Real number (ℝ)

MISSING 

Distinct12
Distinct (%)100.0%
Missing10
Missing (%)45.5%
Infinite0
Infinite (%)0.0%
Mean100633.83
Minimum87671
Maximum135983
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size330.0 B
2024-01-14T22:40:29.939640image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum87671
5-th percentile87730.4
Q188096.5
median91454.5
Q3106644
95-th percentile131556.05
Maximum135983
Range48312
Interquartile range (IQR)18547.5

Descriptive statistics

Standard deviation16810.5
Coefficient of variation (CV)0.16704621
Kurtosis0.45756431
Mean100633.83
Median Absolute Deviation (MAD)3729.5
Skewness1.2558576
Sum1207606
Variance2.8259291 × 108
MonotonicityNot monotonic
2024-01-14T22:40:30.129004image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
93292 1
 
4.5%
89237 1
 
4.5%
89617 1
 
4.5%
88143 1
 
4.5%
87957 1
 
4.5%
87779 1
 
4.5%
87671 1
 
4.5%
104757 1
 
4.5%
102931 1
 
4.5%
112305 1
 
4.5%
Other values (2) 2
 
9.1%
(Missing) 10
45.5%
ValueCountFrequency (%)
87671 1
4.5%
87779 1
4.5%
87957 1
4.5%
88143 1
4.5%
89237 1
4.5%
89617 1
4.5%
93292 1
4.5%
102931 1
4.5%
104757 1
4.5%
112305 1
4.5%
ValueCountFrequency (%)
135983 1
4.5%
127934 1
4.5%
112305 1
4.5%
104757 1
4.5%
102931 1
4.5%
93292 1
4.5%
89617 1
4.5%
89237 1
4.5%
88143 1
4.5%
87957 1
4.5%

내일찾기 서비스 승인후 최초상담 (명)
Real number (ℝ)

MISSING 

Distinct12
Distinct (%)100.0%
Missing10
Missing (%)45.5%
Infinite0
Infinite (%)0.0%
Mean29765.5
Minimum17253
Maximum48946
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size330.0 B
2024-01-14T22:40:30.303917image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum17253
5-th percentile19207.15
Q121625.25
median31212
Q334586
95-th percentile42816.25
Maximum48946
Range31693
Interquartile range (IQR)12960.75

Descriptive statistics

Standard deviation9120.3989
Coefficient of variation (CV)0.30640839
Kurtosis0.12144969
Mean29765.5
Median Absolute Deviation (MAD)7201
Skewness0.55822026
Sum357186
Variance83181675
MonotonicityNot monotonic
2024-01-14T22:40:30.455620image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
48946 1
 
4.5%
34691 1
 
4.5%
34551 1
 
4.5%
30133 1
 
4.5%
34084 1
 
4.5%
37801 1
 
4.5%
23399 1
 
4.5%
21635 1
 
4.5%
32291 1
 
4.5%
20806 1
 
4.5%
Other values (2) 2
 
9.1%
(Missing) 10
45.5%
ValueCountFrequency (%)
17253 1
4.5%
20806 1
4.5%
21596 1
4.5%
21635 1
4.5%
23399 1
4.5%
30133 1
4.5%
32291 1
4.5%
34084 1
4.5%
34551 1
4.5%
34691 1
4.5%
ValueCountFrequency (%)
48946 1
4.5%
37801 1
4.5%
34691 1
4.5%
34551 1
4.5%
34084 1
4.5%
32291 1
4.5%
30133 1
4.5%
23399 1
4.5%
21635 1
4.5%
21596 1
4.5%

내일찾기 서비스 선정 (명)
Real number (ℝ)

MISSING 

Distinct12
Distinct (%)100.0%
Missing10
Missing (%)45.5%
Infinite0
Infinite (%)0.0%
Mean3589.0833
Minimum2466
Maximum5892
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size330.0 B
2024-01-14T22:40:30.595405image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2466
5-th percentile2560.05
Q13313
median3563
Q33717
95-th percentile4750.75
Maximum5892
Range3426
Interquartile range (IQR)404

Descriptive statistics

Standard deviation845.71072
Coefficient of variation (CV)0.23563418
Kurtosis5.392284
Mean3589.0833
Median Absolute Deviation (MAD)213
Skewness1.7740639
Sum43069
Variance715226.63
MonotonicityNot monotonic
2024-01-14T22:40:30.758794image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
5892 1
 
4.5%
3687 1
 
4.5%
3552 1
 
4.5%
3381 1
 
4.5%
3817 1
 
4.5%
3807 1
 
4.5%
3649 1
 
4.5%
3498 1
 
4.5%
3574 1
 
4.5%
2637 1
 
4.5%
Other values (2) 2
 
9.1%
(Missing) 10
45.5%
ValueCountFrequency (%)
2466 1
4.5%
2637 1
4.5%
3109 1
4.5%
3381 1
4.5%
3498 1
4.5%
3552 1
4.5%
3574 1
4.5%
3649 1
4.5%
3687 1
4.5%
3807 1
4.5%
ValueCountFrequency (%)
5892 1
4.5%
3817 1
4.5%
3807 1
4.5%
3687 1
4.5%
3649 1
4.5%
3574 1
4.5%
3552 1
4.5%
3498 1
4.5%
3381 1
4.5%
3109 1
4.5%

내일찾기 서비스 직업배치 (명)
Real number (ℝ)

MISSING 

Distinct12
Distinct (%)100.0%
Missing10
Missing (%)45.5%
Infinite0
Infinite (%)0.0%
Mean1309.8333
Minimum769
Maximum1748
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size330.0 B
2024-01-14T22:40:30.921894image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum769
5-th percentile905.95
Q11117.75
median1327
Q31511.75
95-th percentile1669.9
Maximum1748
Range979
Interquartile range (IQR)394

Descriptive statistics

Standard deviation288.51905
Coefficient of variation (CV)0.22027157
Kurtosis-0.69471016
Mean1309.8333
Median Absolute Deviation (MAD)209.5
Skewness-0.29026602
Sum15718
Variance83243.242
MonotonicityNot monotonic
2024-01-14T22:40:31.087993image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
1450 1
 
4.5%
1204 1
 
4.5%
1117 1
 
4.5%
1018 1
 
4.5%
1145 1
 
4.5%
769 1
 
4.5%
1502 1
 
4.5%
1118 1
 
4.5%
1503 1
 
4.5%
1538 1
 
4.5%
Other values (2) 2
 
9.1%
(Missing) 10
45.5%
ValueCountFrequency (%)
769 1
4.5%
1018 1
4.5%
1117 1
4.5%
1118 1
4.5%
1145 1
4.5%
1204 1
4.5%
1450 1
4.5%
1502 1
4.5%
1503 1
4.5%
1538 1
4.5%
ValueCountFrequency (%)
1748 1
4.5%
1606 1
4.5%
1538 1
4.5%
1503 1
4.5%
1502 1
4.5%
1450 1
4.5%
1204 1
4.5%
1145 1
4.5%
1118 1
4.5%
1117 1
4.5%

사회적응프로그램 위탁기관 (개소)
Real number (ℝ)

MISSING 

Distinct15
Distinct (%)71.4%
Missing1
Missing (%)4.5%
Infinite0
Infinite (%)0.0%
Mean21.428571
Minimum7
Maximum40
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size330.0 B
2024-01-14T22:40:31.239132image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum7
5-th percentile13
Q115
median20
Q327
95-th percentile32
Maximum40
Range33
Interquartile range (IQR)12

Descriptive statistics

Standard deviation7.9910664
Coefficient of variation (CV)0.37291643
Kurtosis-0.013664155
Mean21.428571
Median Absolute Deviation (MAD)6
Skewness0.51824032
Sum450
Variance63.857143
MonotonicityNot monotonic
2024-01-14T22:40:31.391250image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=15)
ValueCountFrequency (%)
14 2
 
9.1%
19 2
 
9.1%
27 2
 
9.1%
31 2
 
9.1%
20 2
 
9.1%
15 2
 
9.1%
7 1
 
4.5%
21 1
 
4.5%
28 1
 
4.5%
40 1
 
4.5%
Other values (5) 5
22.7%
ValueCountFrequency (%)
7 1
4.5%
13 1
4.5%
14 2
9.1%
15 2
9.1%
16 1
4.5%
18 1
4.5%
19 2
9.1%
20 2
9.1%
21 1
4.5%
23 1
4.5%
ValueCountFrequency (%)
40 1
4.5%
32 1
4.5%
31 2
9.1%
28 1
4.5%
27 2
9.1%
23 1
4.5%
21 1
4.5%
20 2
9.1%
19 2
9.1%
18 1
4.5%

사회적응프로그램 교육인원 (명)
Real number (ℝ)

MISSING 

Distinct21
Distinct (%)100.0%
Missing1
Missing (%)4.5%
Infinite0
Infinite (%)0.0%
Mean400
Minimum115
Maximum794
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size330.0 B
2024-01-14T22:40:31.571940image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum115
5-th percentile184
Q1297
median373
Q3523
95-th percentile593
Maximum794
Range679
Interquartile range (IQR)226

Descriptive statistics

Standard deviation164.3475
Coefficient of variation (CV)0.41086874
Kurtosis0.11204915
Mean400
Median Absolute Deviation (MAD)130
Skewness0.42632108
Sum8400
Variance27010.1
MonotonicityNot monotonic
2024-01-14T22:40:31.762121image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
565 1
 
4.5%
341 1
 
4.5%
303 1
 
4.5%
202 1
 
4.5%
184 1
 
4.5%
115 1
 
4.5%
243 1
 
4.5%
276 1
 
4.5%
338 1
 
4.5%
297 1
 
4.5%
Other values (11) 11
50.0%
ValueCountFrequency (%)
115 1
4.5%
184 1
4.5%
202 1
4.5%
243 1
4.5%
276 1
4.5%
297 1
4.5%
303 1
4.5%
338 1
4.5%
339 1
4.5%
341 1
4.5%
ValueCountFrequency (%)
794 1
4.5%
593 1
4.5%
565 1
4.5%
556 1
4.5%
545 1
4.5%
523 1
4.5%
504 1
4.5%
501 1
4.5%
409 1
4.5%
399 1
4.5%

사회적응프로그램 지원금액 (천원)
Real number (ℝ)

MISSING 

Distinct21
Distinct (%)100.0%
Missing1
Missing (%)4.5%
Infinite0
Infinite (%)0.0%
Mean291190.95
Minimum102033
Maximum540557
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size330.0 B
2024-01-14T22:40:31.957762image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum102033
5-th percentile138200
Q1225251
median287389
Q3333704
95-th percentile456834
Maximum540557
Range438524
Interquartile range (IQR)108453

Descriptive statistics

Standard deviation112706.98
Coefficient of variation (CV)0.38705521
Kurtosis-0.22027326
Mean291190.95
Median Absolute Deviation (MAD)62138
Skewness0.42575365
Sum6115010
Variance1.2702862 × 1010
MonotonicityNot monotonic
2024-01-14T22:40:32.095557image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
138200 1
 
4.5%
102033 1
 
4.5%
255440 1
 
4.5%
178610 1
 
4.5%
167891 1
 
4.5%
183600 1
 
4.5%
225251 1
 
4.5%
259628 1
 
4.5%
304918 1
 
4.5%
287389 1
 
4.5%
Other values (11) 11
50.0%
ValueCountFrequency (%)
102033 1
4.5%
138200 1
4.5%
167891 1
4.5%
178610 1
4.5%
183600 1
4.5%
225251 1
4.5%
233646 1
4.5%
242804 1
4.5%
255440 1
4.5%
259628 1
4.5%
ValueCountFrequency (%)
540557 1
4.5%
456834 1
4.5%
436984 1
4.5%
410792 1
4.5%
407320 1
4.5%
333704 1
4.5%
330941 1
4.5%
320040 1
4.5%
304918 1
4.5%
298428 1
4.5%

산재근로자 창업점포 임대지원건수 (건)
Text

Distinct19
Distinct (%)86.4%
Missing0
Missing (%)0.0%
Memory size308.0 B
2024-01-14T22:40:32.291726image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length19
Median length3
Mean length5.5
Min length2

Characters and Unicode

Total characters121
Distinct characters23
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique18 ?
Unique (%)81.8%

Sample

1st row68
2nd row156
3rd row154
4th row142
5th row151
ValueCountFrequency (%)
신규지원 4
 
10.5%
점포 4
 
10.5%
유지만 4
 
10.5%
지원 4
 
10.5%
중단으로 4
 
10.5%
60 1
 
2.6%
22 1
 
2.6%
15 1
 
2.6%
13 1
 
2.6%
30 1
 
2.6%
Other values (13) 13
34.2%
2024-01-14T22:40:32.714205image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
16
 
13.2%
지 12
 
9.9%
1 12
 
9.9%
원 8
 
6.6%
5 7
 
5.8%
2 6
 
5.0%
신 4
 
3.3%
규 4
 
3.3%
0 4
 
3.3%
9 4
 
3.3%
Other values (13) 44
36.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 60
49.6%
Decimal Number 45
37.2%
Space Separator 16
 
13.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
지 12
20.0%
원 8
13.3%
신 4
 
6.7%
규 4
 
6.7%
만 4
 
6.7%
유 4
 
6.7%
포 4
 
6.7%
점 4
 
6.7%
로 4
 
6.7%
으 4
 
6.7%
Other values (2) 8
13.3%
Decimal Number
ValueCountFrequency (%)
1 12
26.7%
5 7
15.6%
2 6
13.3%
0 4
 
8.9%
9 4
 
8.9%
6 3
 
6.7%
4 3
 
6.7%
3 3
 
6.7%
8 2
 
4.4%
7 1
 
2.2%
Space Separator
ValueCountFrequency (%)
16
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 61
50.4%
Hangul 60
49.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
지 12
20.0%
원 8
13.3%
신 4
 
6.7%
규 4
 
6.7%
만 4
 
6.7%
유 4
 
6.7%
포 4
 
6.7%
점 4
 
6.7%
로 4
 
6.7%
으 4
 
6.7%
Other values (2) 8
13.3%
Common
ValueCountFrequency (%)
16
26.2%
1 12
19.7%
5 7
11.5%
2 6
 
9.8%
0 4
 
6.6%
9 4
 
6.6%
6 3
 
4.9%
4 3
 
4.9%
3 3
 
4.9%
8 2
 
3.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 61
50.4%
Hangul 60
49.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
16
26.2%
1 12
19.7%
5 7
11.5%
2 6
 
9.8%
0 4
 
6.6%
9 4
 
6.6%
6 3
 
4.9%
4 3
 
4.9%
3 3
 
4.9%
8 2
 
3.3%
Hangul
ValueCountFrequency (%)
지 12
20.0%
원 8
13.3%
신 4
 
6.7%
규 4
 
6.7%
만 4
 
6.7%
유 4
 
6.7%
포 4
 
6.7%
점 4
 
6.7%
로 4
 
6.7%
으 4
 
6.7%
Other values (2) 8
13.3%

산재근로자 창업점포 임대지원금액 (천원)
Real number (ℝ)

ZEROS 

Distinct21
Distinct (%)95.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4178254.5
Minimum0
Maximum9155000
Zeros2
Zeros (%)9.1%
Negative0
Negative (%)0.0%
Memory size330.0 B
2024-01-14T22:40:32.887633image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2500
Q11131250
median3144800
Q37492000
95-th percentile8560895
Maximum9155000
Range9155000
Interquartile range (IQR)6360750

Descriptive statistics

Standard deviation3374181.4
Coefficient of variation (CV)0.80755764
Kurtosis-1.7354596
Mean4178254.5
Median Absolute Deviation (MAD)3119800
Skewness0.14510546
Sum91921600
Variance1.13851 × 1013
MonotonicityNot monotonic
2024-01-14T22:40:33.052691image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
0 2
 
9.1%
3063600 1
 
4.5%
7573000 1
 
4.5%
50000 1
 
4.5%
200000 1
 
4.5%
1405000 1
 
4.5%
740000 1
 
4.5%
1040000 1
 
4.5%
2206000 1
 
4.5%
1960000 1
 
4.5%
Other values (11) 11
50.0%
ValueCountFrequency (%)
0 2
9.1%
50000 1
4.5%
200000 1
4.5%
740000 1
4.5%
1040000 1
4.5%
1405000 1
4.5%
1960000 1
4.5%
2206000 1
4.5%
2365000 1
4.5%
3063600 1
4.5%
ValueCountFrequency (%)
9155000 1
4.5%
8564000 1
4.5%
8501900 1
4.5%
8151000 1
4.5%
7576000 1
4.5%
7573000 1
4.5%
7249000 1
4.5%
7142500 1
4.5%
6915800 1
4.5%
4837800 1
4.5%

산재근로자자녀(고등학교) 장학금 지급인원 (명)
Real number (ℝ)

UNIQUE 

Distinct22
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3048.4091
Minimum42
Maximum4810
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size330.0 B
2024-01-14T22:40:33.238014image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum42
5-th percentile65.6
Q12578.75
median3436
Q33795.25
95-th percentile4458.65
Maximum4810
Range4768
Interquartile range (IQR)1216.5

Descriptive statistics

Standard deviation1353.7495
Coefficient of variation (CV)0.44408392
Kurtosis0.9046928
Mean3048.4091
Median Absolute Deviation (MAD)678
Skewness-1.2075201
Sum67065
Variance1832637.6
MonotonicityNot monotonic
2024-01-14T22:40:33.405880image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=22)
ValueCountFrequency (%)
3691 1
 
4.5%
3056 1
 
4.5%
42 1
 
4.5%
46 1
 
4.5%
438 1
 
4.5%
2200 1
 
4.5%
2529 1
 
4.5%
2522 1
 
4.5%
2728 1
 
4.5%
3142 1
 
4.5%
Other values (12) 12
54.5%
ValueCountFrequency (%)
42 1
4.5%
46 1
4.5%
438 1
4.5%
2200 1
4.5%
2522 1
4.5%
2529 1
4.5%
2728 1
4.5%
2868 1
4.5%
3056 1
4.5%
3142 1
4.5%
ValueCountFrequency (%)
4810 1
4.5%
4460 1
4.5%
4433 1
4.5%
4344 1
4.5%
4084 1
4.5%
3815 1
4.5%
3736 1
4.5%
3691 1
4.5%
3678 1
4.5%
3571 1
4.5%

산재근로자자녀(고등학교) 장학금 지급금액 (천원)
Real number (ℝ)

UNIQUE 

Distinct22
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4234545.5
Minimum233000
Maximum6564000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size330.0 B
2024-01-14T22:40:33.568452image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum233000
5-th percentile269950
Q13806000
median4446500
Q35490500
95-th percentile6395850
Maximum6564000
Range6331000
Interquartile range (IQR)1684500

Descriptive statistics

Standard deviation1873063
Coefficient of variation (CV)0.44232917
Kurtosis0.5268368
Mean4234545.5
Median Absolute Deviation (MAD)974000
Skewness-1.0318635
Sum93160000
Variance3.5083649 × 1012
MonotonicityNot monotonic
2024-01-14T22:40:33.705956image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=22)
ValueCountFrequency (%)
3541000 1
 
4.5%
4591000 1
 
4.5%
233000 1
 
4.5%
250000 1
 
4.5%
649000 1
 
4.5%
2630000 1
 
4.5%
3792000 1
 
4.5%
3848000 1
 
4.5%
4149000 1
 
4.5%
4743000 1
 
4.5%
Other values (12) 12
54.5%
ValueCountFrequency (%)
233000 1
4.5%
250000 1
4.5%
649000 1
4.5%
2630000 1
4.5%
3541000 1
4.5%
3792000 1
4.5%
3848000 1
4.5%
4049000 1
4.5%
4149000 1
4.5%
4260000 1
4.5%
ValueCountFrequency (%)
6564000 1
4.5%
6405000 1
4.5%
6222000 1
4.5%
6159000 1
4.5%
6057000 1
4.5%
5491000 1
4.5%
5489000 1
4.5%
4991000 1
4.5%
4745000 1
4.5%
4743000 1
4.5%

생활안정자금신용대부인원 (명)
Real number (ℝ)

UNIQUE 

Distinct22
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1517.0455
Minimum335
Maximum1969
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size330.0 B
2024-01-14T22:40:33.892361image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum335
5-th percentile1096.9
Q11439.5
median1576
Q31759.25
95-th percentile1915.6
Maximum1969
Range1634
Interquartile range (IQR)319.75

Descriptive statistics

Standard deviation359.62871
Coefficient of variation (CV)0.23705862
Kurtosis4.6085571
Mean1517.0455
Median Absolute Deviation (MAD)177.5
Skewness-1.7173795
Sum33375
Variance129332.81
MonotonicityNot monotonic
2024-01-14T22:40:34.086858image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=22)
ValueCountFrequency (%)
335 1
 
4.5%
1589 1
 
4.5%
1580 1
 
4.5%
1588 1
 
4.5%
1459 1
 
4.5%
1462 1
 
4.5%
1433 1
 
4.5%
1742 1
 
4.5%
1765 1
 
4.5%
1969 1
 
4.5%
Other values (12) 12
54.5%
ValueCountFrequency (%)
335 1
4.5%
1096 1
4.5%
1114 1
4.5%
1210 1
4.5%
1351 1
4.5%
1433 1
4.5%
1459 1
4.5%
1462 1
4.5%
1489 1
4.5%
1525 1
4.5%
ValueCountFrequency (%)
1969 1
4.5%
1917 1
4.5%
1889 1
4.5%
1877 1
4.5%
1776 1
4.5%
1765 1
4.5%
1742 1
4.5%
1637 1
4.5%
1589 1
4.5%
1588 1
4.5%

생활안정자금신용대부금액 (백만원)
Real number (ℝ)

UNIQUE 

Distinct22
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean12450.409
Minimum1698
Maximum19148
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size330.0 B
2024-01-14T22:40:34.323792image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1698
5-th percentile5598.45
Q19664.25
median13123.5
Q315597.25
95-th percentile17860.3
Maximum19148
Range17450
Interquartile range (IQR)5933

Descriptive statistics

Standard deviation4274.3822
Coefficient of variation (CV)0.34331259
Kurtosis0.4961744
Mean12450.409
Median Absolute Deviation (MAD)3131.5
Skewness-0.76920011
Sum273909
Variance18270343
MonotonicityNot monotonic
2024-01-14T22:40:34.510168image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=22)
ValueCountFrequency (%)
1698 1
 
4.5%
15012 1
 
4.5%
15636 1
 
4.5%
15481 1
 
4.5%
13635 1
 
4.5%
13251 1
 
4.5%
13272 1
 
4.5%
16498 1
 
4.5%
16388 1
 
4.5%
19148 1
 
4.5%
Other values (12) 12
54.5%
ValueCountFrequency (%)
1698 1
4.5%
5539 1
4.5%
6728 1
4.5%
8918 1
4.5%
9362 1
4.5%
9557 1
4.5%
9986 1
4.5%
11590 1
4.5%
12196 1
4.5%
12837 1
4.5%
ValueCountFrequency (%)
19148 1
4.5%
17932 1
4.5%
16498 1
4.5%
16388 1
4.5%
16249 1
4.5%
15636 1
4.5%
15481 1
4.5%
15012 1
4.5%
13635 1
4.5%
13272 1
4.5%

Sample

연도직업재활급여 직장복귀지원금(천원)직업재활급여 직장적응(천원)직업재활급여 재활운동 (천원)장해등급별 직장복귀 지원현황(1-3급) (천원)장해등급별 직장복귀 지원현황(4-9급) (천원)장해등급별 직장복귀 지원현황(10-12급) (천원)장해등급별 직장적응훈련현황(1-3급) (천원)장해등급별 직장적응훈련현황(4-9급) (천원)장해등급별 직장적응훈련현황(10-12급) (천원)장해등급별 재활운동지원현황(1-3급) (천원)장해등급별 재활운동 지원현황(4-9급) (천원)장해등급별 재활운동 지원현황(10-12급) (천원)직업재활급여 직업훈련 (천원)산재보상기금 출연금 직업훈련 (천원)산재노동자 직업훈련 전체 (천원)직업훈련비용지원 위탁훈련 선발인원 (명)직업훈련비용지원 위탁훈련 수료인원 (명)직업훈련비용지원 위탁훈련 취업자 (명)직업훈련비용지원 위탁훈련 중도탈락 (명)합병증 진료카드발급자 (명)합병증 진료카드 수급자 (명)합병증 등 예방관리제도 지급액 (천원)내일찾기 서비스 총상담자 (명)내일찾기 서비스 사례관리 대상자 (명)내일찾기 서비스 직업평가 (명)내일찾기 서비스 사례관리 계획수립 (명)내일찾기서비스 직업배치 (명)내일찾기 서비스 최초요양승인자 (명)내일찾기 서비스 승인후 최초상담 (명)내일찾기 서비스 선정 (명)내일찾기 서비스 직업배치 (명)사회적응프로그램 위탁기관 (개소)사회적응프로그램 교육인원 (명)사회적응프로그램 지원금액 (천원)산재근로자 창업점포 임대지원건수 (건)산재근로자 창업점포 임대지원금액 (천원)산재근로자자녀(고등학교) 장학금 지급인원 (명)산재근로자자녀(고등학교) 장학금 지급금액 (천원)생활안정자금신용대부인원 (명)생활안정자금신용대부금액 (백만원)
02001<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>21866002186600165511093532236085168789344722570493730302970683<NA><NA><NA><NA><NA><NA><NA>683063600369135410003351698
12002<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>49885954988595281321914372331493573134212816335565617367034851240<NA><NA><NA><NA>756513820015675730003448404900013516728
22003<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>578847757884771995260599224918675143028430361343703614261730311526<NA><NA><NA><NA>1434110203315481510003424430200011145539
32004314060<NA><NA>1857312203<NA><NA><NA><NA><NA><NA><NA><NA>4878564487856428381972721100193992048112307332369934037345838022250<NA><NA><NA><NA>2150124280414275760003571474500018779362
420052202969<NA><NA>148792188090<NA><NA><NA><NA><NA><NA><NA><NA>94440109444010438427071205262207142634616057793528475360525854932668<NA><NA><NA><NA>1940923364615185640003736499100019179557
520062779938<NA><NA>460732733865<NA><NA><NA><NA><NA><NA><NA><NA>1147888511478885568033611779237211013103820276189541757606699973023029<NA><NA><NA><NA>2850432004014985019003815549100012109986
62007290246917501676266372879258<NA><NA>1750<NA><NA>1676<NA><NA>1717134817171348573148062976354184873756029479008583057326673569693942<NA><NA><NA><NA>2752333094112572490004810622200010968918
720082791583196714208207532794591<NA><NA>19671<NA><NA>4208<NA><NA>1251332112513321446436072449267166143779433194486545928105818782544505<NA><NA><NA><NA>40794540557105691580044336564000157212837
820093111085151053372306403098922<NA><NA>15105<NA><NA>3372<NA>116102962398807400909538640242629705134333349933244966368788454829683415248<NA><NA><NA><NA>31545410792129915500043446159000152512196
92010675625519102417172002457795138439<NA>168672235<NA>3352819243834433628995801243337921731534548144153386137593390420828786635162015445<NA><NA><NA><NA>32593456834108714250044606405000163712996
연도직업재활급여 직장복귀지원금(천원)직업재활급여 직장적응(천원)직업재활급여 재활운동 (천원)장해등급별 직장복귀 지원현황(1-3급) (천원)장해등급별 직장복귀 지원현황(4-9급) (천원)장해등급별 직장복귀 지원현황(10-12급) (천원)장해등급별 직장적응훈련현황(1-3급) (천원)장해등급별 직장적응훈련현황(4-9급) (천원)장해등급별 직장적응훈련현황(10-12급) (천원)장해등급별 재활운동지원현황(1-3급) (천원)장해등급별 재활운동 지원현황(4-9급) (천원)장해등급별 재활운동 지원현황(10-12급) (천원)직업재활급여 직업훈련 (천원)산재보상기금 출연금 직업훈련 (천원)산재노동자 직업훈련 전체 (천원)직업훈련비용지원 위탁훈련 선발인원 (명)직업훈련비용지원 위탁훈련 수료인원 (명)직업훈련비용지원 위탁훈련 취업자 (명)직업훈련비용지원 위탁훈련 중도탈락 (명)합병증 진료카드발급자 (명)합병증 진료카드 수급자 (명)합병증 등 예방관리제도 지급액 (천원)내일찾기 서비스 총상담자 (명)내일찾기 서비스 사례관리 대상자 (명)내일찾기 서비스 직업평가 (명)내일찾기 서비스 사례관리 계획수립 (명)내일찾기서비스 직업배치 (명)내일찾기 서비스 최초요양승인자 (명)내일찾기 서비스 승인후 최초상담 (명)내일찾기 서비스 선정 (명)내일찾기 서비스 직업배치 (명)사회적응프로그램 위탁기관 (개소)사회적응프로그램 교육인원 (명)사회적응프로그램 지원금액 (천원)산재근로자 창업점포 임대지원건수 (건)산재근로자 창업점포 임대지원금액 (천원)산재근로자자녀(고등학교) 장학금 지급인원 (명)산재근로자자녀(고등학교) 장학금 지급금액 (천원)생활안정자금신용대부인원 (명)생활안정자금신용대부금액 (백만원)
12201368032804767071191440022160264627643<NA>115246518<NA>346677313614238166336815277606353523971003330183363610939268642<NA><NA><NA><NA><NA>8961734551355211172337333370439236500030564591000158915012
132014729980416712107342159920091575296494<NA>85715855<NA>11379597953983012853211082515122121707924138196813916742641069<NA><NA><NA><NA><NA>8814330133338110181933929842829196000028684260000188917932
142015618962313504415720016038074584381<NA><NA>1350<NA>63037858792690901198969338822941560850160199204105144045153<NA><NA><NA><NA><NA>8795734084381711451829728738930220600031424743000196919148
1520165051034184883380<NA>11240473948855<NA>108117407<NA>503330916906811463561031542422061434740160200464155044395870<NA><NA><NA><NA><NA>877793780138077692033830491813104000027284149000176516388
1620175429889273343071320013711514052579<NA><NA>2733<NA><NA>43078570369106260496329731694159791789163264142648418707<NA><NA><NA><NA><NA>876712339936491502162762596281574000025223848000174216498
1720185076790<NA>14681440012469743817867<NA><NA><NA><NA>398107097484321156000109044322485898394121151563977549526565<NA><NA><NA><NA><NA>10475721635349811181324322525122140500025293792000143313272
1820194835448194607741327311445863677589<NA>540014060<NA><NA>77418252526154900019801526276419981204117168574150655652933<NA><NA><NA><NA><NA>102931322913574150315115183600신규지원 중단으로 점포 유지만 지원20000022002630000146213251
1920203631293218001729335878533962744310<NA>295018850<NA>100162918597989139300019990989221019001142101165264230650832276<NA><NA><NA><NA><NA>112305208062637153814184167891신규지원 중단으로 점포 유지만 지원50000438649000145913635
2020214124173109004500807493331668002350855000450165812671166000177472671710177186974175634283553277570<NA><NA><NA><NA><NA>127934172532466160615202178610신규지원 중단으로 점포 유지만 지원046250000158815481
2120223906380146001654907978323108548045014150011521539716329205309315166385201779149177867177694272953277283<NA><NA><NA><NA><NA>135983215963109174820303255440신규지원 중단으로 점포 유지만 지원042233000158015636