Overview

Dataset statistics

Number of variables6
Number of observations85
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory4.4 KiB
Average record size in memory52.6 B

Variable types

Numeric2
Categorical1
Text1
DateTime2

Dataset

Description한국산림복지진흥원 산림복지전문가 자격관리시스템으로 게시물명, 게시물 등록일 및 수정일, 조회수, 게시판 구분 코드 등으로 구성됩니다.
Author한국산림복지진흥원
URLhttps://www.data.go.kr/data/15119090/fileData.do

Alerts

게시판일련번호 is highly overall correlated with 조회수 and 1 other fieldsHigh correlation
조회수 is highly overall correlated with 게시판일련번호High correlation
게시판구분코드 is highly overall correlated with 게시판일련번호High correlation
게시판일련번호 has unique valuesUnique

Reproduction

Analysis started2023-12-12 23:43:25.103441
Analysis finished2023-12-12 23:43:25.943969
Duration0.84 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

게시판일련번호
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct85
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.0193941 × 1010
Minimum2.0161129 × 1010
Maximum2.0230621 × 1010
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size897.0 B
2023-12-13T08:43:26.002554image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2.0161129 × 1010
5-th percentile2.0161143 × 1010
Q12.0170131 × 1010
median2.0190517 × 1010
Q32.0220214 × 1010
95-th percentile2.0230223 × 1010
Maximum2.0230621 × 1010
Range69492000
Interquartile range (IQR)50082988

Descriptive statistics

Standard deviation24578109
Coefficient of variation (CV)0.0012171031
Kurtosis-1.6412623
Mean2.0193941 × 1010
Median Absolute Deviation (MAD)20385999
Skewness0.11267301
Sum1.716485 × 1012
Variance6.0408343 × 1014
MonotonicityNot monotonic
2023-12-13T08:43:26.118029image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20170726002 1
 
1.2%
20170131001 1
 
1.2%
20170131011 1
 
1.2%
20220516001 1
 
1.2%
20220117001 1
 
1.2%
20200626001 1
 
1.2%
20170131005 1
 
1.2%
20170131004 1
 
1.2%
20170131003 1
 
1.2%
20170131002 1
 
1.2%
Other values (75) 75
88.2%
ValueCountFrequency (%)
20161129001 1
1.2%
20161129002 1
1.2%
20161129003 1
1.2%
20161129006 1
1.2%
20161129007 1
1.2%
20161201001 1
1.2%
20161201002 1
1.2%
20161219001 1
1.2%
20170126002 1
1.2%
20170131001 1
1.2%
ValueCountFrequency (%)
20230621001 1
1.2%
20230517001 1
1.2%
20230512001 1
1.2%
20230425001 1
1.2%
20230223001 1
1.2%
20230222001 1
1.2%
20230221001 1
1.2%
20230127001 1
1.2%
20221228001 1
1.2%
20221205001 1
1.2%

게시판구분코드
Categorical

HIGH CORRELATION 

Distinct3
Distinct (%)3.5%
Missing0
Missing (%)0.0%
Memory size812.0 B
1
42 
2
24 
3
19 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3
2nd row1
3rd row2
4th row1
5th row1

Common Values

ValueCountFrequency (%)
1 42
49.4%
2 24
28.2%
3 19
22.4%

Length

2023-12-13T08:43:26.222364image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T08:43:26.299328image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 42
49.4%
2 24
28.2%
3 19
22.4%

게시물제목
Text

Distinct84
Distinct (%)98.8%
Missing0
Missing (%)0.0%
Memory size812.0 B
2023-12-13T08:43:26.591658image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length52
Median length35
Mean length28.188235
Min length12

Characters and Unicode

Total characters2396
Distinct characters235
Distinct categories8 ?
Distinct scripts2 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique83 ?
Unique (%)97.6%

Sample

1st row산림복지전문가(산림교육전문가, 산림치유지도사) 온라인 신규 발급 신청이 불가합니다.
2nd row제13회 전국 산림교육전문가 숲교육 경연대회 개최
3rd row산림교육전문가 자격증 발급신청서 (우편접수용)
4th row2021년도 제9회 산림치유지도사 평가시험 시간 안내
5th row(서울/경기/강원) 민간전문업 대상 산림교육활성화 지원사업기관 모집 안내
ValueCountFrequency (%)
산림치유지도사 46
 
9.3%
자격증 24
 
4.9%
평가시험 20
 
4.1%
안내 14
 
2.8%
산림교육전문가 12
 
2.4%
산림복지전문가 9
 
1.8%
궁금합니다 9
 
1.8%
신청 7
 
1.4%
2022년도 6
 
1.2%
공지 5
 
1.0%
Other values (224) 340
69.1%
2023-12-13T08:43:27.027111image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
409
 
17.1%
림 84
 
3.5%
산 82
 
3.4%
지 74
 
3.1%
가 62
 
2.6%
사 60
 
2.5%
도 59
 
2.5%
2 59
 
2.5%
시 49
 
2.0%
유 47
 
2.0%
Other values (225) 1411
58.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1756
73.3%
Space Separator 409
 
17.1%
Decimal Number 140
 
5.8%
Other Punctuation 43
 
1.8%
Open Punctuation 22
 
0.9%
Close Punctuation 22
 
0.9%
Math Symbol 3
 
0.1%
Dash Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
림 84
 
4.8%
산 82
 
4.7%
지 74
 
4.2%
가 62
 
3.5%
사 60
 
3.4%
도 59
 
3.4%
시 49
 
2.8%
유 47
 
2.7%
치 46
 
2.6%
자 46
 
2.6%
Other values (198) 1147
65.3%
Decimal Number
ValueCountFrequency (%)
2 59
42.1%
0 31
22.1%
1 23
 
16.4%
3 8
 
5.7%
9 8
 
5.7%
7 5
 
3.6%
4 4
 
2.9%
6 1
 
0.7%
5 1
 
0.7%
Other Punctuation
ValueCountFrequency (%)
. 18
41.9%
? 9
20.9%
, 6
 
14.0%
' 4
 
9.3%
· 2
 
4.7%
: 2
 
4.7%
/ 2
 
4.7%
Open Punctuation
ValueCountFrequency (%)
( 18
81.8%
[ 3
 
13.6%
「 1
 
4.5%
Close Punctuation
ValueCountFrequency (%)
) 18
81.8%
] 3
 
13.6%
」 1
 
4.5%
Math Symbol
ValueCountFrequency (%)
> 1
33.3%
< 1
33.3%
~ 1
33.3%
Space Separator
ValueCountFrequency (%)
409
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1756
73.3%
Common 640
 
26.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
림 84
 
4.8%
산 82
 
4.7%
지 74
 
4.2%
가 62
 
3.5%
사 60
 
3.4%
도 59
 
3.4%
시 49
 
2.8%
유 47
 
2.7%
치 46
 
2.6%
자 46
 
2.6%
Other values (198) 1147
65.3%
Common
ValueCountFrequency (%)
409
63.9%
2 59
 
9.2%
0 31
 
4.8%
1 23
 
3.6%
. 18
 
2.8%
( 18
 
2.8%
) 18
 
2.8%
? 9
 
1.4%
3 8
 
1.2%
9 8
 
1.2%
Other values (17) 39
 
6.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1756
73.3%
ASCII 636
 
26.5%
None 4
 
0.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
409
64.3%
2 59
 
9.3%
0 31
 
4.9%
1 23
 
3.6%
. 18
 
2.8%
( 18
 
2.8%
) 18
 
2.8%
? 9
 
1.4%
3 8
 
1.3%
9 8
 
1.3%
Other values (14) 35
 
5.5%
Hangul
ValueCountFrequency (%)
림 84
 
4.8%
산 82
 
4.7%
지 74
 
4.2%
가 62
 
3.5%
사 60
 
3.4%
도 59
 
3.4%
시 49
 
2.8%
유 47
 
2.7%
치 46
 
2.6%
자 46
 
2.6%
Other values (198) 1147
65.3%
None
ValueCountFrequency (%)
· 2
50.0%
」 1
25.0%
「 1
25.0%

등록일자
Date

Distinct59
Distinct (%)69.4%
Missing0
Missing (%)0.0%
Memory size812.0 B
Minimum2016-11-29 00:00:00
Maximum2023-06-21 00:00:00
2023-12-13T08:43:27.148292image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T08:43:27.248818image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

수정일자
Date

Distinct54
Distinct (%)63.5%
Missing0
Missing (%)0.0%
Memory size812.0 B
Minimum2017-01-31 00:00:00
Maximum2023-06-21 00:00:00
2023-12-13T08:43:27.343824image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T08:43:27.449757image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

조회수
Real number (ℝ)

HIGH CORRELATION 

Distinct69
Distinct (%)81.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean143.88235
Minimum3
Maximum1242
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size897.0 B
2023-12-13T08:43:27.574821image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3
5-th percentile9.4
Q124
median49
Q3167
95-th percentile537
Maximum1242
Range1239
Interquartile range (IQR)143

Descriptive statistics

Standard deviation240.776
Coefficient of variation (CV)1.6734227
Kurtosis11.407657
Mean143.88235
Median Absolute Deviation (MAD)30
Skewness3.255302
Sum12230
Variance57973.081
MonotonicityNot monotonic
2023-12-13T08:43:27.707491image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
26 3
 
3.5%
24 3
 
3.5%
23 3
 
3.5%
19 3
 
3.5%
39 2
 
2.4%
5 2
 
2.4%
31 2
 
2.4%
32 2
 
2.4%
38 2
 
2.4%
13 2
 
2.4%
Other values (59) 61
71.8%
ValueCountFrequency (%)
3 1
1.2%
5 2
2.4%
7 1
1.2%
9 1
1.2%
11 1
1.2%
12 1
1.2%
13 2
2.4%
14 1
1.2%
17 1
1.2%
18 1
1.2%
ValueCountFrequency (%)
1242 1
1.2%
1172 1
1.2%
1162 1
1.2%
724 1
1.2%
555 1
1.2%
465 1
1.2%
395 1
1.2%
325 1
1.2%
307 1
1.2%
303 1
1.2%

Interactions

2023-12-13T08:43:25.659666image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T08:43:25.510356image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T08:43:25.736519image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T08:43:25.586932image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-13T08:43:27.808106image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
게시판일련번호게시판구분코드게시물제목등록일자수정일자조회수
게시판일련번호1.0000.7240.9331.0000.9420.378
게시판구분코드0.7241.0001.0000.9860.8260.000
게시물제목0.9331.0001.0000.9810.9650.730
등록일자1.0000.9860.9811.0000.9930.991
수정일자0.9420.8260.9650.9931.0000.933
조회수0.3780.0000.7300.9910.9331.000
2023-12-13T08:43:28.142329image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
게시판일련번호조회수게시판구분코드
게시판일련번호1.0000.5410.608
조회수0.5411.0000.000
게시판구분코드0.6080.0001.000

Missing values

2023-12-13T08:43:25.834019image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T08:43:25.911783image/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

게시판일련번호게시판구분코드게시물제목등록일자수정일자조회수
0201707260023산림복지전문가(산림교육전문가, 산림치유지도사) 온라인 신규 발급 신청이 불가합니다.2017-07-262022-02-081162
1201904300011제13회 전국 산림교육전문가 숲교육 경연대회 개최2019-04-302019-04-3050
2202201120032산림교육전문가 자격증 발급신청서 (우편접수용)2022-01-122022-02-0896
32021010600112021년도 제9회 산림치유지도사 평가시험 시간 안내2021-01-062021-01-0668
4202103240011(서울/경기/강원) 민간전문업 대상 산림교육활성화 지원사업기관 모집 안내2021-03-242021-03-2434
5202201120022산림치유지도사 자격증 재발급 신청서 (우편접수용)2022-01-122022-01-1442
6202201280012산림레포츠지도사 자격증 발급신청서 (우편접수용)2022-01-282022-02-10167
7201702030013산림치유지도사 평가시험 합격 후 합격확인증을 발급 받을 수 있나요?2017-02-032017-02-0649
8202004080012산림교육전문가 행정정보공동이용 사전동의서2020-04-082020-04-0833
9202104290011산림복지전문가 자격관리시스템 회원가입 신청서2021-04-292021-04-2961
게시판일련번호게시판구분코드게시물제목등록일자수정일자조회수
752023022100112023년도 제11회 산림치유지도사 평가시험 최종답안 공개2023-02-212023-02-21465
762023022300112023년도 제11회 산림치유지도사 평가시험 합격 여부 확인 방법 안내2023-02-232023-02-23555
77201707240011산림복지전문가 자격증 온라인 발급·재발급 신청 시행 안내2017-07-242022-02-0824
78201707240022산림교육전문가 자격증 신청방법 매뉴얼2017-07-242018-11-1424
79201710190012산림치유지도사 1급 양성교재2017-10-192017-10-1924
80201710190022산림치유지도사 2급 양성교재2017-10-192017-10-1926
812019013100212019년 제7회 산림치유지도사 평가시험 합격자 알림(2급)2019-01-312019-01-3131
822020012300112020년 산림치유지도사 평가시험 합격자 조회 안내2020-01-232020-01-2323
83201810250012산림교육전문가 자격증 발급용 개인정보 수집 및 이용 고지 양식2018-10-252019-06-1912
842019013100112019년 제7회 산림치유지도사 평가시험 합격자 알림(1급)2019-01-312022-11-2111