Overview

Dataset statistics

Number of variables5
Number of observations322
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory13.3 KiB
Average record size in memory42.4 B

Variable types

Categorical3
Numeric2

Dataset

Description연도별 산림기술자자격증 발급 현황 및 자격연도별 발급 인원을 나타내는 통계자료입니다. (산림기술자자격증 종류(산림경영, 산림공학, 녹지조경) 및 등급(특급, 고급, 중급, 초급) 등)
Author산림청
URLhttps://www.data.go.kr/data/15091331/fileData.do

Reproduction

Analysis started2023-12-12 16:08:26.606394
Analysis finished2023-12-12 16:08:27.331144
Duration0.72 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

산림기술자자격종류
Categorical

Distinct3
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size2.6 KiB
산림경영기술자
202 
산림공학기술자
102 
녹지조경기술자
 
18

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
산림경영기술자 202
62.7%
산림공학기술자 102
31.7%
녹지조경기술자 18
 
5.6%

Length

2023-12-13T01:08:27.398777image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T01:08:27.506878image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
산림경영기술자 202
62.7%
산림공학기술자 102
31.7%
녹지조경기술자 18
 
5.6%

산림기술자자격등급
Categorical

Distinct7
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Memory size2.6 KiB
기술초급
165 
기능2급
43 
기술특급
36 
기능1급
36 
기술고급
 
16
Other values (2)
26 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
기술초급 165
51.2%
기능2급 43
 
13.4%
기술특급 36
 
11.2%
기능1급 36
 
11.2%
기술고급 16
 
5.0%
기술중급 15
 
4.7%
기능특급 11
 
3.4%

Length

2023-12-13T01:08:27.659657image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T01:08:27.786844image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
기술초급 165
51.2%
기능2급 43
 
13.4%
기술특급 36
 
11.2%
기능1급 36
 
11.2%
기술고급 16
 
5.0%
기술중급 15
 
4.7%
기능특급 11
 
3.4%

발급년도
Real number (ℝ)

Distinct40
Distinct (%)12.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2009.8199
Minimum1975
Maximum2022
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.0 KiB
2023-12-13T01:08:27.940316image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1975
5-th percentile1991
Q12005.25
median2011
Q32018
95-th percentile2021.95
Maximum2022
Range47
Interquartile range (IQR)12.75

Descriptive statistics

Standard deviation9.3804252
Coefficient of variation (CV)0.0046672964
Kurtosis0.24888247
Mean2009.8199
Median Absolute Deviation (MAD)6
Skewness-0.84576858
Sum647162
Variance87.992376
MonotonicityNot monotonic
2023-12-13T01:08:28.087161image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=40)
ValueCountFrequency (%)
2019 19
 
5.9%
2018 17
 
5.3%
2022 17
 
5.3%
2006 16
 
5.0%
2007 16
 
5.0%
2021 16
 
5.0%
2020 15
 
4.7%
2008 14
 
4.3%
2010 14
 
4.3%
2014 14
 
4.3%
Other values (30) 164
50.9%
ValueCountFrequency (%)
1975 1
 
0.3%
1981 1
 
0.3%
1983 1
 
0.3%
1986 1
 
0.3%
1987 1
 
0.3%
1988 1
 
0.3%
1989 1
 
0.3%
1990 8
2.5%
1991 5
1.6%
1992 3
 
0.9%
ValueCountFrequency (%)
2022 17
5.3%
2021 16
5.0%
2020 15
4.7%
2019 19
5.9%
2018 17
5.3%
2017 12
3.7%
2016 11
3.4%
2015 12
3.7%
2014 14
4.3%
2013 12
3.7%

자격상태
Categorical

Distinct5
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Memory size2.6 KiB
정상
180 
삭제
79 
정지
30 
취소
26 
사망
 
7

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
정상 180
55.9%
삭제 79
24.5%
정지 30
 
9.3%
취소 26
 
8.1%
사망 7
 
2.2%

Length

2023-12-13T01:08:28.250507image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T01:08:28.366683image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
정상 180
55.9%
삭제 79
24.5%
정지 30
 
9.3%
취소 26
 
8.1%
사망 7
 
2.2%

인원
Real number (ℝ)

Distinct128
Distinct (%)39.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean171.98447
Minimum1
Maximum2266
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.0 KiB
2023-12-13T01:08:28.499963image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median7
Q3175.75
95-th percentile987.4
Maximum2266
Range2265
Interquartile range (IQR)173.75

Descriptive statistics

Standard deviation365.26849
Coefficient of variation (CV)2.1238457
Kurtosis9.9885703
Mean171.98447
Median Absolute Deviation (MAD)6
Skewness3.0234781
Sum55379
Variance133421.07
MonotonicityNot monotonic
2023-12-13T01:08:28.620223image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 68
21.1%
2 38
 
11.8%
3 19
 
5.9%
4 15
 
4.7%
5 9
 
2.8%
8 8
 
2.5%
6 8
 
2.5%
14 7
 
2.2%
7 6
 
1.9%
11 4
 
1.2%
Other values (118) 140
43.5%
ValueCountFrequency (%)
1 68
21.1%
2 38
11.8%
3 19
 
5.9%
4 15
 
4.7%
5 9
 
2.8%
6 8
 
2.5%
7 6
 
1.9%
8 8
 
2.5%
9 2
 
0.6%
10 3
 
0.9%
ValueCountFrequency (%)
2266 1
0.3%
2083 1
0.3%
2002 1
0.3%
1580 1
0.3%
1551 1
0.3%
1480 1
0.3%
1474 1
0.3%
1447 1
0.3%
1406 1
0.3%
1398 1
0.3%

Interactions

2023-12-13T01:08:26.996739image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T01:08:26.825301image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T01:08:27.080141image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T01:08:26.909452image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-13T01:08:28.703806image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
산림기술자자격종류산림기술자자격등급발급년도자격상태인원
산림기술자자격종류1.0000.4920.5760.1780.108
산림기술자자격등급0.4921.0000.4660.2530.442
발급년도0.5760.4661.0000.3360.040
자격상태0.1780.2530.3361.0000.300
인원0.1080.4420.0400.3001.000
2023-12-13T01:08:28.812540image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
산림기술자자격등급자격상태산림기술자자격종류
산림기술자자격등급1.0000.1640.377
자격상태0.1641.0000.135
산림기술자자격종류0.3770.1351.000
2023-12-13T01:08:28.904746image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
발급년도인원산림기술자자격종류산림기술자자격등급자격상태
발급년도1.0000.3060.3010.2620.193
인원0.3061.0000.0460.2500.177
산림기술자자격종류0.3010.0461.0000.3770.135
산림기술자자격등급0.2620.2500.3771.0000.164
자격상태0.1930.1770.1350.1641.000

Missing values

2023-12-13T01:08:27.187718image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T01:08:27.291708image/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

산림기술자자격종류산림기술자자격등급발급년도자격상태인원
0산림경영기술자기술특급2006정상4
1산림경영기술자기술특급2006삭제1
2산림경영기술자기술특급2007정상2
3산림경영기술자기술특급2009정상1
4산림경영기술자기술특급2010정상1
5산림경영기술자기술특급2013정상1
6산림경영기술자기술특급2014정상4
7산림경영기술자기술특급2015정상4
8산림경영기술자기술특급2016정상2
9산림경영기술자기술특급2017정상2
산림기술자자격종류산림기술자자격등급발급년도자격상태인원
312녹지조경기술자기술고급2022정상165
313녹지조경기술자기술중급2019정상60
314녹지조경기술자기술중급2020정상133
315녹지조경기술자기술중급2021정상72
316녹지조경기술자기술중급2022정상54
317녹지조경기술자기술초급2018정상3
318녹지조경기술자기술초급2019정상143
319녹지조경기술자기술초급2020정상236
320녹지조경기술자기술초급2021정상190
321녹지조경기술자기술초급2022정상227