Overview

Dataset statistics

Number of variables5
Number of observations570
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory23.5 KiB
Average record size in memory42.2 B

Variable types

Numeric2
Categorical3

Dataset

Description산림자원법에 따라 발급된 산림기술자 자격증 중 행정처분(삭제, 정지, 취소 등) 된 현황을 연도별로 정리한 자료입니다.
Author산림청
URLhttps://www.data.go.kr/data/15095123/fileData.do

Reproduction

Analysis started2024-04-21 08:17:40.428679
Analysis finished2024-04-21 08:17:42.294114
Duration1.87 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

등록년도
Real number (ℝ)

Distinct35
Distinct (%)6.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2006.2228
Minimum1985
Maximum2022
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size5.1 KiB
2024-04-21T17:17:42.491343image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1985
5-th percentile1992
Q12002
median2007
Q32011
95-th percentile2017
Maximum2022
Range37
Interquartile range (IQR)9

Descriptive statistics

Standard deviation7.0825789
Coefficient of variation (CV)0.0035303052
Kurtosis-0.11539805
Mean2006.2228
Median Absolute Deviation (MAD)4
Skewness-0.47791243
Sum1143547
Variance50.162924
MonotonicityIncreasing
2024-04-21T17:17:42.905841image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=35)
ValueCountFrequency (%)
2007 55
 
9.6%
2006 54
 
9.5%
2008 38
 
6.7%
2010 29
 
5.1%
2005 27
 
4.7%
2011 25
 
4.4%
2014 24
 
4.2%
2009 24
 
4.2%
2017 23
 
4.0%
2012 23
 
4.0%
Other values (25) 248
43.5%
ValueCountFrequency (%)
1985 1
 
0.2%
1986 1
 
0.2%
1988 1
 
0.2%
1990 15
2.6%
1991 9
1.6%
1992 4
 
0.7%
1993 5
 
0.9%
1994 4
 
0.7%
1995 13
2.3%
1996 15
2.6%
ValueCountFrequency (%)
2022 1
 
0.2%
2021 3
 
0.5%
2019 1
 
0.2%
2018 12
2.1%
2017 23
4.0%
2016 14
2.5%
2015 14
2.5%
2014 24
4.2%
2013 17
3.0%
2012 23
4.0%

지역
Categorical

Distinct16
Distinct (%)2.8%
Missing0
Missing (%)0.0%
Memory size4.6 KiB
전라남도
76 
강원도
70 
경상북도
58 
전라북도
50 
경상남도
48 
Other values (11)
268 

Length

Max length5
Median length4
Mean length4.0596491
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row경상남도
2nd row경상남도
3rd row서울특별시
4th row강원도
5th row경기도

Common Values

ValueCountFrequency (%)
전라남도 76
13.3%
강원도 70
12.3%
경상북도 58
10.2%
전라북도 50
8.8%
경상남도 48
8.4%
경기도 39
6.8%
대전광역시 38
6.7%
충청북도 37
6.5%
충청남도 37
6.5%
광주광역시 29
 
5.1%
Other values (6) 88
15.4%

Length

2024-04-21T17:17:43.259426image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
전라남도 76
13.3%
강원도 70
12.3%
경상북도 58
10.2%
전라북도 50
8.8%
경상남도 48
8.4%
경기도 39
6.8%
대전광역시 38
6.7%
충청북도 37
6.5%
충청남도 37
6.5%
광주광역시 29
 
5.1%
Other values (6) 88
15.4%

자격종류
Categorical

Distinct9
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Memory size4.6 KiB
산림경영기술자 기술초급
248 
산림공학기술자 기술초급
196 
산림경영기술자 기능2급
70 
산림경영기술자 기능1급
40 
산림공학기술자 기술특급
 
6
Other values (4)
 
10

Length

Max length12
Median length12
Mean length12
Min length12

Unique

Unique2 ?
Unique (%)0.4%

Sample

1st row산림경영기술자 기술초급
2nd row산림경영기술자 기술초급
3rd row산림경영기술자 기술초급
4th row산림경영기술자 기술초급
5th row산림경영기술자 기술초급

Common Values

ValueCountFrequency (%)
산림경영기술자 기술초급 248
43.5%
산림공학기술자 기술초급 196
34.4%
산림경영기술자 기능2급 70
 
12.3%
산림경영기술자 기능1급 40
 
7.0%
산림공학기술자 기술특급 6
 
1.1%
산림경영기술자 기능특급 5
 
0.9%
산림경영기술자 기술특급 3
 
0.5%
산림경영기술자 기술중급 1
 
0.2%
산림공학기술자 기술중급 1
 
0.2%

Length

2024-04-21T17:17:43.478315image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T17:17:43.684861image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
기술초급 444
38.9%
산림경영기술자 367
32.2%
산림공학기술자 203
17.8%
기능2급 70
 
6.1%
기능1급 40
 
3.5%
기술특급 9
 
0.8%
기능특급 5
 
0.4%
기술중급 2
 
0.2%

자격상태
Categorical

Distinct2
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size4.6 KiB
삭제
465 
취소
105 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
삭제 465
81.6%
취소 105
 
18.4%

Length

2024-04-21T17:17:43.917470image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T17:17:44.077901image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
삭제 465
81.6%
취소 105
 
18.4%

총합
Real number (ℝ)

Distinct27
Distinct (%)4.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.145614
Minimum1
Maximum42
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size5.1 KiB
2024-04-21T17:17:44.249466image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q33
95-th percentile12
Maximum42
Range41
Interquartile range (IQR)2

Descriptive statistics

Standard deviation4.6359401
Coefficient of variation (CV)1.4737791
Kurtosis21.822633
Mean3.145614
Median Absolute Deviation (MAD)0
Skewness4.1390028
Sum1793
Variance21.49194
MonotonicityNot monotonic
2024-04-21T17:17:44.449230image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=27)
ValueCountFrequency (%)
1 299
52.5%
2 91
 
16.0%
3 50
 
8.8%
4 32
 
5.6%
5 29
 
5.1%
7 10
 
1.8%
6 9
 
1.6%
10 7
 
1.2%
8 6
 
1.1%
14 4
 
0.7%
Other values (17) 33
 
5.8%
ValueCountFrequency (%)
1 299
52.5%
2 91
 
16.0%
3 50
 
8.8%
4 32
 
5.6%
5 29
 
5.1%
6 9
 
1.6%
7 10
 
1.8%
8 6
 
1.1%
9 4
 
0.7%
10 7
 
1.2%
ValueCountFrequency (%)
42 1
0.2%
36 1
0.2%
31 2
0.4%
30 1
0.2%
25 1
0.2%
24 1
0.2%
23 1
0.2%
22 1
0.2%
21 2
0.4%
18 1
0.2%

Interactions

2024-04-21T17:17:41.273393image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T17:17:40.751925image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T17:17:41.539157image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T17:17:41.022853image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-04-21T17:17:44.591401image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
등록년도지역자격종류자격상태총합
등록년도1.0000.2510.4970.3000.034
지역0.2511.0000.0000.2780.000
자격종류0.4970.0001.0000.0900.000
자격상태0.3000.2780.0901.0000.018
총합0.0340.0000.0000.0181.000
2024-04-21T17:17:44.754005image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
지역자격종류자격상태
지역1.0000.0000.216
자격종류0.0001.0000.089
자격상태0.2160.0891.000
2024-04-21T17:17:44.900673image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
등록년도총합지역자격종류자격상태
등록년도1.000-0.1360.1030.2530.229
총합-0.1361.0000.0000.0000.017
지역0.1030.0001.0000.0000.216
자격종류0.2530.0000.0001.0000.089
자격상태0.2290.0170.2160.0891.000

Missing values

2024-04-21T17:17:41.860162image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-04-21T17:17:42.171148image/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

등록년도지역자격종류자격상태총합
01985경상남도산림경영기술자 기술초급삭제1
11986경상남도산림경영기술자 기술초급삭제1
21988서울특별시산림경영기술자 기술초급삭제1
31990강원도산림경영기술자 기술초급삭제5
41990경기도산림경영기술자 기술초급삭제1
51990경상남도산림공학기술자 기술초급취소3
61990경상남도산림공학기술자 기술초급삭제13
71990경상북도산림경영기술자 기술초급삭제15
81990경상북도산림경영기술자 기능특급삭제1
91990경상북도산림공학기술자 기술초급삭제1
등록년도지역자격종류자격상태총합
5602018서울특별시산림경영기술자 기능1급삭제4
5612018서울특별시산림공학기술자 기술초급삭제1
5622018인천광역시산림경영기술자 기술초급삭제1
5632018제주도산림경영기술자 기능2급삭제3
5642018충청북도산림경영기술자 기술초급삭제4
5652019강원도산림경영기술자 기능1급취소1
5662021경기도산림경영기술자 기술중급삭제1
5672021경기도산림공학기술자 기술중급삭제1
5682021경상남도산림경영기술자 기술초급삭제1
5692022전라남도산림경영기술자 기능2급취소1