Overview

Dataset statistics

Number of variables7
Number of observations390
Missing cells0
Missing cells (%)0.0%
Duplicate rows51
Duplicate rows (%)13.1%
Total size in memory21.5 KiB
Average record size in memory56.3 B

Variable types

Categorical2
DateTime2
Text3

Dataset

Description2000년 이후에 발간된 산림관련 도서 현황을 정리 및 산림교육원 도서관 내에 구비, 운영 중에 따라 참고용으로 등록합니다.
Author산림청 산림교육원
URLhttps://www.data.go.kr/data/15095143/fileData.do

Alerts

관리기관 has constant value ""Constant
관리부서 has constant value ""Constant
데이터기준일자 has constant value ""Constant
Dataset has 51 (13.1%) duplicate rowsDuplicates

Reproduction

Analysis started2023-12-23 06:53:49.006002
Analysis finished2023-12-23 06:53:52.093822
Duration3.09 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

관리기관
Categorical

CONSTANT 

Distinct1
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size3.2 KiB
산림교육원
390 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
산림교육원 390
100.0%

Length

2023-12-23T06:53:52.547654image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-23T06:53:53.120128image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
산림교육원 390
100.0%

관리부서
Categorical

CONSTANT 

Distinct1
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size3.2 KiB
도서실(1층)
390 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row도서실(1층)
2nd row도서실(1층)
3rd row도서실(1층)
4th row도서실(1층)
5th row도서실(1층)

Common Values

ValueCountFrequency (%)
도서실(1층) 390
100.0%

Length

2023-12-23T06:53:53.492609image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-23T06:53:53.836884image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
도서실(1층 390
100.0%
Distinct265
Distinct (%)67.9%
Missing0
Missing (%)0.0%
Memory size3.2 KiB
Minimum2000-06-30 00:00:00
Maximum2023-04-30 00:00:00
2023-12-23T06:53:54.442435image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-23T06:53:55.249412image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
Distinct321
Distinct (%)82.3%
Missing0
Missing (%)0.0%
Memory size3.2 KiB
2023-12-23T06:53:56.102113image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length21
Median length17
Mean length8.5769231
Min length3

Characters and Unicode

Total characters3345
Distinct characters393
Distinct categories8 ?
Distinct scripts4 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique263 ?
Unique (%)67.4%

Sample

1st row양화소록
2nd row종자생산과관리
3rd row숲과임업
4th row견본수목원관찰도감
5th row경북식물도감
ValueCountFrequency (%)
그린 10
 
2.3%
도감 7
 
1.6%
어린이 6
 
1.4%
나들이 6
 
1.4%
山에미래를심다 4
 
0.9%
큰도감 4
 
0.9%
내몸을치유하는숲 4
 
0.9%
산림요양학 3
 
0.7%
조림학 3
 
0.7%
주변에서볼수있는나무의모든것나무해설도감 3
 
0.7%
Other values (326) 391
88.7%
2023-12-23T06:53:57.744319image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
84
 
2.5%
84
 
2.5%
83
 
2.5%
77
 
2.3%
72
 
2.2%
68
 
2.0%
63
 
1.9%
62
 
1.9%
59
 
1.8%
54
 
1.6%
Other values (383) 2639
78.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3173
94.9%
Decimal Number 53
 
1.6%
Space Separator 51
 
1.5%
Other Punctuation 24
 
0.7%
Lowercase Letter 18
 
0.5%
Close Punctuation 11
 
0.3%
Open Punctuation 11
 
0.3%
Uppercase Letter 4
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
84
 
2.6%
84
 
2.6%
83
 
2.6%
77
 
2.4%
72
 
2.3%
68
 
2.1%
63
 
2.0%
62
 
2.0%
59
 
1.9%
54
 
1.7%
Other values (354) 2467
77.7%
Lowercase Letter
ValueCountFrequency (%)
e 4
22.2%
a 3
16.7%
r 3
16.7%
c 1
 
5.6%
n 1
 
5.6%
d 1
 
5.6%
w 1
 
5.6%
o 1
 
5.6%
l 1
 
5.6%
p 1
 
5.6%
Decimal Number
ValueCountFrequency (%)
0 21
39.6%
1 16
30.2%
2 6
 
11.3%
8 3
 
5.7%
5 3
 
5.7%
6 2
 
3.8%
7 1
 
1.9%
3 1
 
1.9%
Uppercase Letter
ValueCountFrequency (%)
T 1
25.0%
F 1
25.0%
S 1
25.0%
P 1
25.0%
Other Punctuation
ValueCountFrequency (%)
, 22
91.7%
! 1
 
4.2%
? 1
 
4.2%
Space Separator
ValueCountFrequency (%)
51
100.0%
Close Punctuation
ValueCountFrequency (%)
) 11
100.0%
Open Punctuation
ValueCountFrequency (%)
( 11
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3169
94.7%
Common 150
 
4.5%
Latin 22
 
0.7%
Han 4
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
84
 
2.7%
84
 
2.7%
83
 
2.6%
77
 
2.4%
72
 
2.3%
68
 
2.1%
63
 
2.0%
62
 
2.0%
59
 
1.9%
54
 
1.7%
Other values (353) 2463
77.7%
Latin
ValueCountFrequency (%)
e 4
18.2%
a 3
13.6%
r 3
13.6%
c 1
 
4.5%
n 1
 
4.5%
d 1
 
4.5%
T 1
 
4.5%
w 1
 
4.5%
o 1
 
4.5%
l 1
 
4.5%
Other values (5) 5
22.7%
Common
ValueCountFrequency (%)
51
34.0%
, 22
14.7%
0 21
14.0%
1 16
 
10.7%
) 11
 
7.3%
( 11
 
7.3%
2 6
 
4.0%
8 3
 
2.0%
5 3
 
2.0%
6 2
 
1.3%
Other values (4) 4
 
2.7%
Han
ValueCountFrequency (%)
4
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3169
94.7%
ASCII 172
 
5.1%
CJK 4
 
0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
84
 
2.7%
84
 
2.7%
83
 
2.6%
77
 
2.4%
72
 
2.3%
68
 
2.1%
63
 
2.0%
62
 
2.0%
59
 
1.9%
54
 
1.7%
Other values (353) 2463
77.7%
ASCII
ValueCountFrequency (%)
51
29.7%
, 22
12.8%
0 21
12.2%
1 16
 
9.3%
) 11
 
6.4%
( 11
 
6.4%
2 6
 
3.5%
e 4
 
2.3%
a 3
 
1.7%
r 3
 
1.7%
Other values (19) 24
14.0%
CJK
ValueCountFrequency (%)
4
100.0%
Distinct168
Distinct (%)43.1%
Missing0
Missing (%)0.0%
Memory size3.2 KiB
2023-12-23T06:53:58.560257image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length11
Median length10
Mean length4.2794872
Min length2

Characters and Unicode

Total characters1669
Distinct characters219
Distinct categories5 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique109 ?
Unique (%)27.9%

Sample

1st row을유문화사
2nd row향문사
3rd row수문출판사
4th row경상북도산림환경연구소
5th row동아문화사
ValueCountFrequency (%)
향문사 45
 
11.5%
국립산림과학원 16
 
4.1%
보리 16
 
4.1%
국립수목원 13
 
3.3%
산림청 12
 
3.1%
지오북 9
 
2.3%
지성사 8
 
2.1%
진선books 7
 
1.8%
수문출판사 7
 
1.8%
서울대학교출판부 6
 
1.5%
Other values (157) 251
64.4%
2023-12-23T06:54:00.190782image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
128
 
7.7%
82
 
4.9%
49
 
2.9%
48
 
2.9%
48
 
2.9%
47
 
2.8%
43
 
2.6%
41
 
2.5%
40
 
2.4%
35
 
2.1%
Other values (209) 1108
66.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1588
95.1%
Uppercase Letter 39
 
2.3%
Lowercase Letter 38
 
2.3%
Other Symbol 3
 
0.2%
Other Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
128
 
8.1%
82
 
5.2%
49
 
3.1%
48
 
3.0%
48
 
3.0%
47
 
3.0%
43
 
2.7%
41
 
2.6%
40
 
2.5%
35
 
2.2%
Other values (195) 1027
64.7%
Lowercase Letter
ValueCountFrequency (%)
o 18
47.4%
s 8
21.1%
k 8
21.1%
b 1
 
2.6%
n 1
 
2.6%
d 1
 
2.6%
g 1
 
2.6%
Uppercase Letter
ValueCountFrequency (%)
B 14
35.9%
O 12
30.8%
K 6
15.4%
S 6
15.4%
M 1
 
2.6%
Other Symbol
ValueCountFrequency (%)
3
100.0%
Other Punctuation
ValueCountFrequency (%)
, 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1591
95.3%
Latin 77
 
4.6%
Common 1
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
128
 
8.0%
82
 
5.2%
49
 
3.1%
48
 
3.0%
48
 
3.0%
47
 
3.0%
43
 
2.7%
41
 
2.6%
40
 
2.5%
35
 
2.2%
Other values (196) 1030
64.7%
Latin
ValueCountFrequency (%)
o 18
23.4%
B 14
18.2%
O 12
15.6%
s 8
10.4%
k 8
10.4%
K 6
 
7.8%
S 6
 
7.8%
b 1
 
1.3%
n 1
 
1.3%
M 1
 
1.3%
Other values (2) 2
 
2.6%
Common
ValueCountFrequency (%)
, 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1588
95.1%
ASCII 78
 
4.7%
None 3
 
0.2%

Most frequent character per block

Hangul
ValueCountFrequency (%)
128
 
8.1%
82
 
5.2%
49
 
3.1%
48
 
3.0%
48
 
3.0%
47
 
3.0%
43
 
2.7%
41
 
2.6%
40
 
2.5%
35
 
2.2%
Other values (195) 1027
64.7%
ASCII
ValueCountFrequency (%)
o 18
23.1%
B 14
17.9%
O 12
15.4%
s 8
10.3%
k 8
10.3%
K 6
 
7.7%
S 6
 
7.7%
b 1
 
1.3%
n 1
 
1.3%
M 1
 
1.3%
Other values (3) 3
 
3.8%
None
ValueCountFrequency (%)
3
100.0%
Distinct277
Distinct (%)71.0%
Missing0
Missing (%)0.0%
Memory size3.2 KiB
2023-12-23T06:54:01.203774image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length31
Median length27
Mean length5.6076923
Min length2

Characters and Unicode

Total characters2187
Distinct characters296
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique206 ?
Unique (%)52.8%

Sample

1st row이병훈
2nd row김광호,이정명,박순직외7명
3rd row배상원
4th row임원현
5th row이의근
ValueCountFrequency (%)
산림청 9
 
2.1%
이경준 7
 
1.6%
권혁도 6
 
1.4%
이유미 6
 
1.4%
6
 
1.4%
6
 
1.4%
강전유 5
 
1.1%
김창석 4
 
0.9%
우에하라이와오 4
 
0.9%
부민문화사자연과학부 4
 
0.9%
Other values (292) 380
87.0%
2023-12-23T06:54:02.585852image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
101
 
4.6%
, 95
 
4.3%
72
 
3.3%
66
 
3.0%
47
 
2.1%
47
 
2.1%
35
 
1.6%
30
 
1.4%
30
 
1.4%
30
 
1.4%
Other values (286) 1634
74.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1920
87.8%
Other Punctuation 95
 
4.3%
Decimal Number 92
 
4.2%
Space Separator 47
 
2.1%
Lowercase Letter 21
 
1.0%
Uppercase Letter 8
 
0.4%
Open Punctuation 2
 
0.1%
Close Punctuation 2
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
101
 
5.3%
72
 
3.8%
66
 
3.4%
47
 
2.4%
35
 
1.8%
30
 
1.6%
30
 
1.6%
30
 
1.6%
28
 
1.5%
25
 
1.3%
Other values (252) 1456
75.8%
Lowercase Letter
ValueCountFrequency (%)
a 5
23.8%
c 2
 
9.5%
r 2
 
9.5%
s 2
 
9.5%
h 1
 
4.8%
t 1
 
4.8%
v 1
 
4.8%
i 1
 
4.8%
u 1
 
4.8%
d 1
 
4.8%
Other values (4) 4
19.0%
Decimal Number
ValueCountFrequency (%)
1 23
25.0%
3 17
18.5%
2 13
14.1%
4 12
13.0%
5 11
12.0%
6 6
 
6.5%
8 4
 
4.3%
7 3
 
3.3%
9 3
 
3.3%
Uppercase Letter
ValueCountFrequency (%)
S 2
25.0%
C 1
12.5%
B 1
12.5%
M 1
12.5%
D 1
12.5%
G 1
12.5%
F 1
12.5%
Other Punctuation
ValueCountFrequency (%)
, 95
100.0%
Space Separator
ValueCountFrequency (%)
47
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1920
87.8%
Common 238
 
10.9%
Latin 29
 
1.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
101
 
5.3%
72
 
3.8%
66
 
3.4%
47
 
2.4%
35
 
1.8%
30
 
1.6%
30
 
1.6%
30
 
1.6%
28
 
1.5%
25
 
1.3%
Other values (252) 1456
75.8%
Latin
ValueCountFrequency (%)
a 5
17.2%
S 2
 
6.9%
c 2
 
6.9%
r 2
 
6.9%
s 2
 
6.9%
C 1
 
3.4%
B 1
 
3.4%
h 1
 
3.4%
t 1
 
3.4%
M 1
 
3.4%
Other values (11) 11
37.9%
Common
ValueCountFrequency (%)
, 95
39.9%
47
19.7%
1 23
 
9.7%
3 17
 
7.1%
2 13
 
5.5%
4 12
 
5.0%
5 11
 
4.6%
6 6
 
2.5%
8 4
 
1.7%
7 3
 
1.3%
Other values (3) 7
 
2.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1920
87.8%
ASCII 267
 
12.2%

Most frequent character per block

Hangul
ValueCountFrequency (%)
101
 
5.3%
72
 
3.8%
66
 
3.4%
47
 
2.4%
35
 
1.8%
30
 
1.6%
30
 
1.6%
30
 
1.6%
28
 
1.5%
25
 
1.3%
Other values (252) 1456
75.8%
ASCII
ValueCountFrequency (%)
, 95
35.6%
47
17.6%
1 23
 
8.6%
3 17
 
6.4%
2 13
 
4.9%
4 12
 
4.5%
5 11
 
4.1%
6 6
 
2.2%
a 5
 
1.9%
8 4
 
1.5%
Other values (24) 34
 
12.7%

데이터기준일자
Date

CONSTANT 

Distinct1
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size3.2 KiB
Minimum2023-12-15 00:00:00
Maximum2023-12-15 00:00:00
2023-12-23T06:54:03.504101image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-23T06:54:03.860239image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Missing values

2023-12-23T06:53:50.903557image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-23T06:53:51.789958image/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

관리기관관리부서출간일자도서명발행기관저작자데이터기준일자
0산림교육원도서실(1층)2020-02-21양화소록을유문화사이병훈2023-12-15
1산림교육원도서실(1층)2000-06-30종자생산과관리향문사김광호,이정명,박순직외7명2023-12-15
2산림교육원도서실(1층)2000-08-23숲과임업수문출판사배상원2023-12-15
3산림교육원도서실(1층)2000-12-26견본수목원관찰도감경상북도산림환경연구소임원현2023-12-15
4산림교육원도서실(1층)2001-01-01경북식물도감동아문화사이의근2023-12-15
5산림교육원도서실(1층)2001-01-20수목환경관리학유천김호준2023-12-15
6산림교육원도서실(1층)2001-01-20수목환경관리학유천김호준2023-12-15
7산림교육원도서실(1층)2001-02-15분재전문관리사예가정한원2023-12-15
8산림교육원도서실(1층)2001-05-30산림75년발자취북부지방산림관리청북부지방산림청2023-12-15
9산림교육원도서실(1층)2001-06-05유전자와생명복제에관한100분100답고려문화사아마가사케이스케2023-12-15
관리기관관리부서출간일자도서명발행기관저작자데이터기준일자
380산림교육원도서실(1층)2021-09-10산림환경토양학구민사이천용2023-12-15
381산림교육원도서실(1층)2010-04-20신고 식물육종학향문사고희종 등저2023-12-15
382산림교육원도서실(1층)2022-08-22한국 근대 임업사푸른역사최병택2023-12-15
383산림교육원도서실(1층)2020-11-19목재의 이해모눈종이브루스 호들리 저, 정연집 역2023-12-15
384산림교육원도서실(1층)2018-12-15공간정보공학구미서관한승희2023-12-15
385산림교육원도서실(1층)2021-02-15산불방재학동화기술이시영2023-12-15
386산림교육원도서실(1층)2021-04-23숲은 고요하지 않다흐름출판마들렌 치게 저, 배명자 역, 최재천 감수2023-12-15
387산림교육원도서실(1층)2023-04-30산불 관리의 과학적 근거지을이창배, 강원석, 권춘근, 김성용, 김은숙 저 외 15명2023-12-15
388산림교육원도서실(1층)2023-04-30산불 관리의 과학적 근거지을이창배, 강원석, 권춘근, 김성용, 김은숙 저 외 15명2023-12-15
389산림교육원도서실(1층)2019-10-25클라이브 폰팅의 녹색 세계사민음사클라이브 폰팅 저, 이진아, 김정민 역2023-12-15

Duplicate rows

Most frequently occurring

관리기관관리부서출간일자도서명발행기관저작자데이터기준일자# duplicates
13산림교육원도서실(1층)2006-03-25山에미래를심다서울대학교출판부이경준2023-12-154
22산림교육원도서실(1층)2007-06-05내몸을치유하는숲넥서스BOOKS우에하라이와오2023-12-154
8산림교육원도서실(1층)2006-01-05삼림환경보전학향문사강전유외13인2023-12-153
16산림교육원도서실(1층)2006-08-25나를부르는숲동아일보사빌브라이슨2023-12-153
30산림교육원도서실(1층)2009-02-20수목과목재구조㈜미디어우드이필우2023-12-153
35산림교육원도서실(1층)2010-01-05조림학향문사이돈구,권기원,김지홍,김갑태2023-12-153
49산림교육원도서실(1층)2019-01-02현대수목학향문사장진성2023-12-153
0산림교육원도서실(1층)2001-01-20수목환경관리학유천김호준2023-12-152
1산림교육원도서실(1층)2001-11-10수목생리학서울대학교출판부이경준2023-12-152
2산림교육원도서실(1층)2002-08-21산과우리문화수문출판사김종성2023-12-152