Overview

Dataset statistics

Number of variables8
Number of observations171
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory11.8 KiB
Average record size in memory70.8 B

Variable types

Categorical4
Numeric4

Dataset

Description제한무선통신사, 항공무선통신사 등 통신분야 자격증 갱신을 위한 통신보안 교육 현황 입니다.
Author한국방송통신전파진흥원
URLhttps://www.data.go.kr/data/15042419/fileData.do

Alerts

온라인교육 has constant value ""Constant
현장교육 is highly overall correlated with 수시교육 and 1 other fieldsHigh correlation
수시교육 is highly overall correlated with 현장교육 and 1 other fieldsHigh correlation
합계 is highly overall correlated with 현장교육 and 1 other fieldsHigh correlation
현장교육 has 26 (15.2%) zerosZeros
수시교육 has 38 (22.2%) zerosZeros
출장교육 has 138 (80.7%) zerosZeros

Reproduction

Analysis started2023-12-12 22:42:14.544410
Analysis finished2023-12-12 22:42:16.525999
Duration1.98 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

종목명
Categorical

Distinct30
Distinct (%)17.5%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
육상무선통신사
 
10
전파전자기능사
 
10
전파전자통신기사
 
10
전파전자통신기능사
 
10
무선설비기사
 
10
Other values (25)
121 

Length

Max length16
Median length11
Mean length8.0935673
Min length6

Unique

Unique5 ?
Unique (%)2.9%

Sample

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

Common Values

ValueCountFrequency (%)
육상무선통신사 10
 
5.8%
전파전자기능사 10
 
5.8%
전파전자통신기사 10
 
5.8%
전파전자통신기능사 10
 
5.8%
무선설비기사 10
 
5.8%
무선설비산업기사 10
 
5.8%
무선설비기능사 10
 
5.8%
제한무선통신사 10
 
5.8%
항공무선통신사 10
 
5.8%
해상무선통신사 10
 
5.8%
Other values (20) 71
41.5%

Length

2023-12-13T07:42:16.633721image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
육상무선통신사 10
 
5.8%
전파전자기능사 10
 
5.8%
전파전자통신기사 10
 
5.8%
전파전자통신기능사 10
 
5.8%
무선설비기사 10
 
5.8%
무선설비산업기사 10
 
5.8%
무선설비기능사 10
 
5.8%
제한무선통신사 10
 
5.8%
항공무선통신사 10
 
5.8%
해상무선통신사 10
 
5.8%
Other values (20) 71
41.5%

교육연도
Categorical

Distinct5
Distinct (%)2.9%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
2019
39 
2018
35 
2017
34 
2016
32 
2015
31 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2015
2nd row2015
3rd row2016
4th row2017
5th row2018

Common Values

ValueCountFrequency (%)
2019 39
22.8%
2018 35
20.5%
2017 34
19.9%
2016 32
18.7%
2015 31
18.1%

Length

2023-12-13T07:42:16.780850image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T07:42:16.886673image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2019 39
22.8%
2018 35
20.5%
2017 34
19.9%
2016 32
18.7%
2015 31
18.1%

성별
Categorical

Distinct2
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
전체
110 
여성
61 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row전체
2nd row여성
3rd row전체
4th row전체
5th row전체

Common Values

ValueCountFrequency (%)
전체 110
64.3%
여성 61
35.7%

Length

2023-12-13T07:42:17.030851image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T07:42:17.167397image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
전체 110
64.3%
여성 61
35.7%

현장교육
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct68
Distinct (%)39.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean134.55556
Minimum0
Maximum4137
Zeros26
Zeros (%)15.2%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2023-12-13T07:42:17.314528image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median5
Q344.5
95-th percentile277
Maximum4137
Range4137
Interquartile range (IQR)43.5

Descriptive statistics

Standard deviation550.54995
Coefficient of variation (CV)4.0916181
Kurtosis32.711527
Mean134.55556
Median Absolute Deviation (MAD)5
Skewness5.7148763
Sum23009
Variance303105.25
MonotonicityNot monotonic
2023-12-13T07:42:17.479530image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 35
20.5%
0 26
 
15.2%
3 8
 
4.7%
5 6
 
3.5%
2 6
 
3.5%
4 5
 
2.9%
11 4
 
2.3%
14 4
 
2.3%
233 3
 
1.8%
19 3
 
1.8%
Other values (58) 71
41.5%
ValueCountFrequency (%)
0 26
15.2%
1 35
20.5%
2 6
 
3.5%
3 8
 
4.7%
4 5
 
2.9%
5 6
 
3.5%
6 3
 
1.8%
7 2
 
1.2%
8 1
 
0.6%
9 2
 
1.2%
ValueCountFrequency (%)
4137 1
0.6%
3315 1
0.6%
3183 1
0.6%
2809 1
0.6%
2691 1
0.6%
421 1
0.6%
339 1
0.6%
310 1
0.6%
282 1
0.6%
272 1
0.6%

수시교육
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct103
Distinct (%)60.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean503.01754
Minimum0
Maximum8721
Zeros38
Zeros (%)22.2%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2023-12-13T07:42:17.658001image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median29
Q3317.5
95-th percentile2531
Maximum8721
Range8721
Interquartile range (IQR)316.5

Descriptive statistics

Standard deviation1402.6119
Coefficient of variation (CV)2.7883955
Kurtosis20.422464
Mean503.01754
Median Absolute Deviation (MAD)29
Skewness4.3955408
Sum86016
Variance1967320.1
MonotonicityNot monotonic
2023-12-13T07:42:17.815277image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 38
 
22.2%
1 9
 
5.3%
2 6
 
3.5%
3 4
 
2.3%
6 3
 
1.8%
9 3
 
1.8%
459 2
 
1.2%
45 2
 
1.2%
29 2
 
1.2%
5 2
 
1.2%
Other values (93) 100
58.5%
ValueCountFrequency (%)
0 38
22.2%
1 9
 
5.3%
2 6
 
3.5%
3 4
 
2.3%
4 2
 
1.2%
5 2
 
1.2%
6 3
 
1.8%
9 3
 
1.8%
10 1
 
0.6%
11 1
 
0.6%
ValueCountFrequency (%)
8721 1
0.6%
8133 1
0.6%
7948 1
0.6%
7799 1
0.6%
5752 1
0.6%
3763 1
0.6%
3514 1
0.6%
3173 1
0.6%
2720 1
0.6%
2342 1
0.6%

출장교육
Real number (ℝ)

ZEROS 

Distinct13
Distinct (%)7.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.7076023
Minimum0
Maximum61
Zeros138
Zeros (%)80.7%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2023-12-13T07:42:17.954805image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile8.5
Maximum61
Range61
Interquartile range (IQR)0

Descriptive statistics

Standard deviation7.2588202
Coefficient of variation (CV)4.2508845
Kurtosis41.851985
Mean1.7076023
Median Absolute Deviation (MAD)0
Skewness6.167825
Sum292
Variance52.690471
MonotonicityNot monotonic
2023-12-13T07:42:18.086234image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%)
0 138
80.7%
1 11
 
6.4%
2 7
 
4.1%
4 3
 
1.8%
3 2
 
1.2%
10 2
 
1.2%
14 2
 
1.2%
22 1
 
0.6%
7 1
 
0.6%
35 1
 
0.6%
Other values (3) 3
 
1.8%
ValueCountFrequency (%)
0 138
80.7%
1 11
 
6.4%
2 7
 
4.1%
3 2
 
1.2%
4 3
 
1.8%
7 1
 
0.6%
10 2
 
1.2%
14 2
 
1.2%
22 1
 
0.6%
24 1
 
0.6%
ValueCountFrequency (%)
61 1
 
0.6%
52 1
 
0.6%
35 1
 
0.6%
24 1
 
0.6%
22 1
 
0.6%
14 2
1.2%
10 2
1.2%
7 1
 
0.6%
4 3
1.8%
3 2
1.2%

온라인교육
Categorical

CONSTANT 

Distinct1
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
0
171 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 171
100.0%

Length

2023-12-13T07:42:18.243530image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T07:42:18.352089image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 171
100.0%

합계
Real number (ℝ)

HIGH CORRELATION 

Distinct113
Distinct (%)66.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean639.2807
Minimum1
Maximum12858
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2023-12-13T07:42:18.483786image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q13.5
median47
Q3351.5
95-th percentile2702.5
Maximum12858
Range12857
Interquartile range (IQR)348

Descriptive statistics

Standard deviation1925.7446
Coefficient of variation (CV)3.0123616
Kurtosis24.521205
Mean639.2807
Median Absolute Deviation (MAD)46
Skewness4.8493717
Sum109317
Variance3708492.4
MonotonicityNot monotonic
2023-12-13T07:42:18.683518image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 25
 
14.6%
2 12
 
7.0%
3 6
 
3.5%
4 5
 
2.9%
29 4
 
2.3%
5 3
 
1.8%
7 2
 
1.2%
34 2
 
1.2%
349 2
 
1.2%
9 2
 
1.2%
Other values (103) 108
63.2%
ValueCountFrequency (%)
1 25
14.6%
2 12
7.0%
3 6
 
3.5%
4 5
 
2.9%
5 3
 
1.8%
6 2
 
1.2%
7 2
 
1.2%
8 1
 
0.6%
9 2
 
1.2%
10 2
 
1.2%
ValueCountFrequency (%)
12858 1
0.6%
11462 1
0.6%
11006 1
0.6%
10771 1
0.6%
8495 1
0.6%
3911 1
0.6%
3660 1
0.6%
3487 1
0.6%
2866 1
0.6%
2539 1
0.6%

Interactions

2023-12-13T07:42:15.902035image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T07:42:14.843116image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T07:42:15.157415image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T07:42:15.521414image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T07:42:15.978492image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T07:42:14.912640image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T07:42:15.244072image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T07:42:15.615422image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T07:42:16.061043image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T07:42:14.987705image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T07:42:15.332623image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T07:42:15.693049image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T07:42:16.174819image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T07:42:15.071205image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T07:42:15.440108image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T07:42:15.796157image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-13T07:42:18.792048image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
종목명교육연도성별현장교육수시교육출장교육합계
종목명1.0000.0000.0000.0000.3700.0000.403
교육연도0.0001.0000.0000.0000.0000.0830.000
성별0.0000.0001.0000.0000.3160.0000.186
현장교육0.0000.0000.0001.0000.8430.7510.832
수시교육0.3700.0000.3160.8431.0000.8790.929
출장교육0.0000.0830.0000.7510.8791.0000.909
합계0.4030.0000.1860.8320.9290.9091.000
2023-12-13T07:42:18.920736image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
교육연도종목명성별
교육연도1.0000.0000.000
종목명0.0001.0000.000
성별0.0000.0001.000
2023-12-13T07:42:19.021124image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
현장교육수시교육출장교육합계종목명교육연도성별
현장교육1.0000.6510.4750.7840.0000.0000.000
수시교육0.6511.0000.4080.9620.1400.0000.233
출장교육0.4750.4081.0000.4470.0000.0510.000
합계0.7840.9620.4471.0000.1650.0000.196
종목명0.0000.1400.0000.1651.0000.0000.000
교육연도0.0000.0000.0510.0000.0001.0000.000
성별0.0000.2330.0000.1960.0000.0001.000

Missing values

2023-12-13T07:42:16.343474image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T07:42:16.475243image/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

종목명교육연도성별현장교육수시교육출장교육온라인교육합계
0전파통신기사2015전체1771300190
1전파통신기사2015여성40004
2전파통신기사2016전체1130014
3전파통신기사2017전체3930042
4전파통신기사2018전체1802020
5전파통신기사2019전체2140025
6전파통신산업기사2015전체19172038
7전파통신산업기사2016전체24100034
8전파통신산업기사2017전체17120029
9전파통신산업기사2018전체2090029
종목명교육연도성별현장교육수시교육출장교육온라인교육합계
161정보통신산업기사2016전체10001
162정보통신산업기사2019전체10001
163방송통신기능사2019전체10001
164통신설비기능장2019전체10001
165통신선로산업기사2018전체10001
166통신선로산업기사2019전체10001
167통신선로기능사2015전체01001
168통신선로기능사2019전체11002
169통신기기기능사2019전체10001
170(NULL)2019전체01001