Overview

Dataset statistics

Number of variables5
Number of observations10000
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory498.0 KiB
Average record size in memory51.0 B

Variable types

Numeric3
DateTime2

Dataset

Description중소벤처기업 재직 근로자의 장기재직과 자산형성을 위한하여 중소벤처기업진흥공단에서 관리하는 청년재직자 내일채움공제 가입자 근속기간 현황정보
Author중소벤처기업진흥공단
URLhttps://www.data.go.kr/data/15102322/fileData.do

Alerts

순번 has unique valuesUnique

Reproduction

Analysis started2023-12-12 08:03:59.511084
Analysis finished2023-12-12 08:04:01.241001
Duration1.73 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

순번
Real number (ℝ)

UNIQUE 

Distinct10000
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8215.5185
Minimum1
Maximum16434
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-12T17:04:01.323294image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile820.95
Q14121.75
median8211
Q312380.25
95-th percentile15599.05
Maximum16434
Range16433
Interquartile range (IQR)8258.5

Descriptive statistics

Standard deviation4752.9677
Coefficient of variation (CV)0.57853532
Kurtosis-1.2085896
Mean8215.5185
Median Absolute Deviation (MAD)4128.5
Skewness-0.0001535196
Sum82155185
Variance22590702
MonotonicityNot monotonic
2023-12-12T17:04:01.487572image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
12734 1
 
< 0.1%
871 1
 
< 0.1%
8682 1
 
< 0.1%
7330 1
 
< 0.1%
678 1
 
< 0.1%
8893 1
 
< 0.1%
8857 1
 
< 0.1%
13700 1
 
< 0.1%
8447 1
 
< 0.1%
2624 1
 
< 0.1%
Other values (9990) 9990
99.9%
ValueCountFrequency (%)
1 1
< 0.1%
3 1
< 0.1%
4 1
< 0.1%
5 1
< 0.1%
7 1
< 0.1%
8 1
< 0.1%
10 1
< 0.1%
12 1
< 0.1%
14 1
< 0.1%
16 1
< 0.1%
ValueCountFrequency (%)
16434 1
< 0.1%
16433 1
< 0.1%
16430 1
< 0.1%
16429 1
< 0.1%
16428 1
< 0.1%
16427 1
< 0.1%
16426 1
< 0.1%
16425 1
< 0.1%
16424 1
< 0.1%
16422 1
< 0.1%

계약일자 핵심
Date

Distinct173
Distinct (%)1.7%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
Minimum2022-01-03 00:00:00
Maximum2022-12-06 00:00:00
2023-12-12T17:04:01.642546image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T17:04:01.817966image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

입사년월일
Date

Distinct1694
Distinct (%)16.9%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
Minimum2004-09-20 00:00:00
Maximum2022-05-01 00:00:00
2023-12-12T17:04:01.996975image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T17:04:02.169750image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

가입당시연령
Real number (ℝ)

Distinct23
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean29.351
Minimum18
Maximum40
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-12T17:04:02.325856image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum18
5-th percentile23
Q127
median29
Q332
95-th percentile35
Maximum40
Range22
Interquartile range (IQR)5

Descriptive statistics

Standard deviation3.7199977
Coefficient of variation (CV)0.12674177
Kurtosis-0.49658093
Mean29.351
Median Absolute Deviation (MAD)3
Skewness-0.24313251
Sum293510
Variance13.838383
MonotonicityNot monotonic
2023-12-12T17:04:02.479085image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=23)
ValueCountFrequency (%)
30 931
9.3%
29 922
9.2%
28 884
8.8%
31 867
8.7%
32 860
8.6%
33 855
8.6%
27 853
8.5%
26 760
7.6%
34 728
7.3%
25 555
 
5.5%
Other values (13) 1785
17.8%
ValueCountFrequency (%)
18 6
 
0.1%
19 59
 
0.6%
20 40
 
0.4%
21 86
 
0.9%
22 158
 
1.6%
23 277
 
2.8%
24 417
4.2%
25 555
5.5%
26 760
7.6%
27 853
8.5%
ValueCountFrequency (%)
40 1
 
< 0.1%
39 1
 
< 0.1%
38 10
 
0.1%
37 27
 
0.3%
36 307
 
3.1%
35 396
4.0%
34 728
7.3%
33 855
8.6%
32 860
8.6%
31 867
8.7%

입사후 근속개월
Real number (ℝ)

Distinct158
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean45.5924
Minimum15
Maximum226
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-12T17:04:02.689345image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum15
5-th percentile21
Q125
median33
Q357
95-th percentile108
Maximum226
Range211
Interquartile range (IQR)32

Descriptive statistics

Standard deviation28.434379
Coefficient of variation (CV)0.62366489
Kurtosis2.3815088
Mean45.5924
Median Absolute Deviation (MAD)10
Skewness1.612837
Sum455924
Variance808.51391
MonotonicityNot monotonic
2023-12-12T17:04:03.199169image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
24 577
 
5.8%
25 565
 
5.7%
23 455
 
4.5%
26 389
 
3.9%
27 384
 
3.8%
21 378
 
3.8%
22 343
 
3.4%
30 326
 
3.3%
28 316
 
3.2%
29 285
 
2.9%
Other values (148) 5982
59.8%
ValueCountFrequency (%)
15 4
 
< 0.1%
16 16
 
0.2%
17 5
 
0.1%
18 12
 
0.1%
19 110
 
1.1%
20 236
2.4%
21 378
3.8%
22 343
3.4%
23 455
4.5%
24 577
5.8%
ValueCountFrequency (%)
226 1
< 0.1%
212 1
< 0.1%
187 1
< 0.1%
186 2
< 0.1%
184 1
< 0.1%
177 1
< 0.1%
176 1
< 0.1%
174 1
< 0.1%
172 1
< 0.1%
167 1
< 0.1%

Interactions

2023-12-12T17:04:00.711519image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T17:03:59.882766image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T17:04:00.295809image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T17:04:00.836784image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T17:04:00.020167image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T17:04:00.447081image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T17:04:00.944939image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T17:04:00.158406image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T17:04:00.593551image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T17:04:03.323743image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순번가입당시연령입사후 근속개월
순번1.0000.0730.171
가입당시연령0.0731.0000.338
입사후 근속개월0.1710.3381.000
2023-12-12T17:04:03.453397image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순번가입당시연령입사후 근속개월
순번1.000-0.027-0.244
가입당시연령-0.0271.0000.262
입사후 근속개월-0.2440.2621.000

Missing values

2023-12-12T17:04:01.063825image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T17:04:01.187167image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

Sample

순번계약일자 핵심입사년월일가입당시연령입사후 근속개월
12733127342022-05-162021-01-313330
642964302022-03-172021-06-012826
205420552022-01-252021-06-302625
216321642022-02-082021-05-173126
11786117872022-05-032021-10-052721
728072812022-03-282021-08-302823
11022110232022-04-142021-09-092722
13578135792022-05-252020-12-072631
460746082022-02-212019-03-012953
14986149872022-06-102019-06-013050
순번계약일자 핵심입사년월일가입당시연령입사후 근속개월
850585062022-03-182019-03-013353
585958602022-02-222020-05-043038
11229112302022-04-222021-07-122424
394139422022-02-162020-01-012843
708570862022-03-162021-08-063023
10318103192022-04-252021-08-173223
131713182022-02-172020-02-013442
537453752022-02-282019-02-013254
919291932022-04-062020-05-113438
15773157742022-06-202016-06-153385