Overview

Dataset statistics

Number of variables4
Number of observations38
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.4 KiB
Average record size in memory37.5 B

Variable types

Numeric2
Categorical1
Text1

Dataset

Description현대한국구술자료관 첨부파일(단계별 상세목록집, 각종 행사 웹초청장, 커버스토리, 구술자료해제, 표준화지침 등) 을 제공합니다.
Author한국학중앙연구원
URLhttps://www.data.go.kr/data/15049082/fileData.do

Alerts

구분 has constant value ""Constant
번호 is highly overall correlated with 게시판연결번호High correlation
게시판연결번호 is highly overall correlated with 번호High correlation
번호 has unique valuesUnique

Reproduction

Analysis started2023-12-12 03:26:44.733281
Analysis finished2023-12-12 03:26:45.812426
Duration1.08 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct38
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean35.657895
Minimum3
Maximum64
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size474.0 B
2023-12-12T12:26:45.914830image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3
5-th percentile11.85
Q121.25
median35.5
Q350.5
95-th percentile62.15
Maximum64
Range61
Interquartile range (IQR)29.25

Descriptive statistics

Standard deviation17.021888
Coefficient of variation (CV)0.4773666
Kurtosis-1.0402768
Mean35.657895
Median Absolute Deviation (MAD)15
Skewness0.027482672
Sum1355
Variance289.74467
MonotonicityNot monotonic
2023-12-12T12:26:46.133305image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=38)
ValueCountFrequency (%)
3 1
 
2.6%
52 1
 
2.6%
39 1
 
2.6%
40 1
 
2.6%
42 1
 
2.6%
43 1
 
2.6%
47 1
 
2.6%
49 1
 
2.6%
51 1
 
2.6%
53 1
 
2.6%
Other values (28) 28
73.7%
ValueCountFrequency (%)
3 1
2.6%
11 1
2.6%
12 1
2.6%
13 1
2.6%
14 1
2.6%
15 1
2.6%
16 1
2.6%
19 1
2.6%
20 1
2.6%
21 1
2.6%
ValueCountFrequency (%)
64 1
2.6%
63 1
2.6%
62 1
2.6%
61 1
2.6%
60 1
2.6%
55 1
2.6%
54 1
2.6%
53 1
2.6%
52 1
2.6%
51 1
2.6%

구분
Categorical

CONSTANT 

Distinct1
Distinct (%)2.6%
Missing0
Missing (%)0.0%
Memory size436.0 B
\N
38 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row\N
2nd row\N
3rd row\N
4th row\N
5th row\N

Common Values

ValueCountFrequency (%)
\N 38
100.0%

Length

2023-12-12T12:26:46.354760image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T12:26:46.511368image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
n 38
100.0%

파일명
Text

Distinct33
Distinct (%)86.8%
Missing0
Missing (%)0.0%
Memory size436.0 B
2023-12-12T12:26:46.920667image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length45
Median length31
Mean length23.631579
Min length8

Characters and Unicode

Total characters898
Distinct characters186
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique30 ?
Unique (%)78.9%

Sample

1st rowlogo.bmp
2nd row(양식)구술사_시민강좌_수강_신청서.hwp
3rd row한국학중앙연구원 구술자료관 이용안내(201211).pdf
4th row구술사포스터2015.pdf
5th row우리분야자료_최근 10년간 구술사 관련 단행본 현황.hwp
ValueCountFrequency (%)
양식)구술사_시민강좌_수강_신청서.hwp 4
 
5.1%
상세목록집.zip 3
 
3.8%
구술사 2
 
2.6%
1단계1차년상세목록.zip 2
 
2.6%
지침.pdf 2
 
2.6%
안내 2
 
2.6%
이관 2
 
2.6%
결과물 2
 
2.6%
관련 2
 
2.6%
표준화 2
 
2.6%
Other values (54) 55
70.5%
2023-12-12T12:26:47.669124image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
40
 
4.5%
. 38
 
4.2%
p 37
 
4.1%
_ 32
 
3.6%
1 31
 
3.5%
구 23
 
2.6%
술 23
 
2.6%
2 21
 
2.3%
사 18
 
2.0%
차 17
 
1.9%
Other values (176) 618
68.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 515
57.3%
Lowercase Letter 132
 
14.7%
Decimal Number 92
 
10.2%
Space Separator 40
 
4.5%
Other Punctuation 38
 
4.2%
Connector Punctuation 32
 
3.6%
Open Punctuation 18
 
2.0%
Close Punctuation 18
 
2.0%
Dash Punctuation 8
 
0.9%
Math Symbol 5
 
0.6%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 23
 
4.5%
술 23
 
4.5%
사 18
 
3.5%
차 17
 
3.3%
년 15
 
2.9%
단 12
 
2.3%
청 10
 
1.9%
록 10
 
1.9%
목 10
 
1.9%
계 10
 
1.9%
Other values (139) 367
71.3%
Lowercase Letter
ValueCountFrequency (%)
p 37
28.0%
i 12
 
9.1%
g 11
 
8.3%
j 9
 
6.8%
z 9
 
6.8%
w 9
 
6.8%
h 9
 
6.8%
d 9
 
6.8%
f 9
 
6.8%
l 4
 
3.0%
Other values (9) 14
 
10.6%
Decimal Number
ValueCountFrequency (%)
1 31
33.7%
2 21
22.8%
0 13
14.1%
5 7
 
7.6%
3 7
 
7.6%
8 4
 
4.3%
7 4
 
4.3%
4 3
 
3.3%
6 2
 
2.2%
Open Punctuation
ValueCountFrequency (%)
( 16
88.9%
[ 2
 
11.1%
Close Punctuation
ValueCountFrequency (%)
) 16
88.9%
] 2
 
11.1%
Space Separator
ValueCountFrequency (%)
40
100.0%
Other Punctuation
ValueCountFrequency (%)
. 38
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 32
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 8
100.0%
Math Symbol
ValueCountFrequency (%)
+ 5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 515
57.3%
Common 251
28.0%
Latin 132
 
14.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 23
 
4.5%
술 23
 
4.5%
사 18
 
3.5%
차 17
 
3.3%
년 15
 
2.9%
단 12
 
2.3%
청 10
 
1.9%
록 10
 
1.9%
목 10
 
1.9%
계 10
 
1.9%
Other values (139) 367
71.3%
Latin
ValueCountFrequency (%)
p 37
28.0%
i 12
 
9.1%
g 11
 
8.3%
j 9
 
6.8%
z 9
 
6.8%
w 9
 
6.8%
h 9
 
6.8%
d 9
 
6.8%
f 9
 
6.8%
l 4
 
3.0%
Other values (9) 14
 
10.6%
Common
ValueCountFrequency (%)
40
15.9%
. 38
15.1%
_ 32
12.7%
1 31
12.4%
2 21
8.4%
( 16
 
6.4%
) 16
 
6.4%
0 13
 
5.2%
- 8
 
3.2%
5 7
 
2.8%
Other values (8) 29
11.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 487
54.2%
ASCII 383
42.7%
Compat Jamo 28
 
3.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
40
 
10.4%
. 38
 
9.9%
p 37
 
9.7%
_ 32
 
8.4%
1 31
 
8.1%
2 21
 
5.5%
( 16
 
4.2%
) 16
 
4.2%
0 13
 
3.4%
i 12
 
3.1%
Other values (27) 127
33.2%
Hangul
ValueCountFrequency (%)
구 23
 
4.7%
술 23
 
4.7%
사 18
 
3.7%
차 17
 
3.5%
년 15
 
3.1%
단 12
 
2.5%
청 10
 
2.1%
록 10
 
2.1%
목 10
 
2.1%
계 10
 
2.1%
Other values (123) 339
69.6%
Compat Jamo
ValueCountFrequency (%)
ㅜ 4
14.3%
ㄴ 3
10.7%
ㄹ 2
 
7.1%
ㅛ 2
 
7.1%
ㅁ 2
 
7.1%
ㅏ 2
 
7.1%
ㅂ 2
 
7.1%
ㄱ 2
 
7.1%
ㅅ 2
 
7.1%
ㅍ 1
 
3.6%
Other values (6) 6
21.4%

게시판연결번호
Real number (ℝ)

HIGH CORRELATION 

Distinct37
Distinct (%)97.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean160.52632
Minimum1
Maximum258
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size474.0 B
2023-12-12T12:26:47.911790image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile80.05
Q1127.25
median165.5
Q3192
95-th percentile240.45
Maximum258
Range257
Interquartile range (IQR)64.75

Descriptive statistics

Standard deviation55.189471
Coefficient of variation (CV)0.34380326
Kurtosis0.74605756
Mean160.52632
Median Absolute Deviation (MAD)38
Skewness-0.53209658
Sum6100
Variance3045.8777
MonotonicityNot monotonic
2023-12-12T12:26:48.121003image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=37)
ValueCountFrequency (%)
166 2
 
5.3%
205 1
 
2.6%
171 1
 
2.6%
172 1
 
2.6%
173 1
 
2.6%
179 1
 
2.6%
180 1
 
2.6%
183 1
 
2.6%
195 1
 
2.6%
206 1
 
2.6%
Other values (27) 27
71.1%
ValueCountFrequency (%)
1 1
2.6%
52 1
2.6%
85 1
2.6%
88 1
2.6%
98 1
2.6%
112 1
2.6%
117 1
2.6%
118 1
2.6%
126 1
2.6%
127 1
2.6%
ValueCountFrequency (%)
258 1
2.6%
243 1
2.6%
240 1
2.6%
237 1
2.6%
236 1
2.6%
227 1
2.6%
225 1
2.6%
206 1
2.6%
205 1
2.6%
195 1
2.6%

Interactions

2023-12-12T12:26:45.281631image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T12:26:44.978675image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T12:26:45.438808image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T12:26:45.133993image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T12:26:48.262856image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
번호파일명게시판연결번호
번호1.0000.9250.910
파일명0.9251.0000.904
게시판연결번호0.9100.9041.000
2023-12-12T12:26:48.412171image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
번호게시판연결번호
번호1.0001.000
게시판연결번호1.0001.000

Missing values

2023-12-12T12:26:45.612807image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T12:26:45.753122image/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

번호구분파일명게시판연결번호
03\Nlogo.bmp1
111\N(양식)구술사_시민강좌_수강_신청서.hwp85
212\N한국학중앙연구원 구술자료관 이용안내(201211).pdf52
313\N구술사포스터2015.pdf88
414\N우리분야자료_최근 10년간 구술사 관련 단행본 현황.hwp98
515\N위로공단구술사_웹초대장.jpg112
616\N구술사동향-외교사연구센터(프로그램등).hwp117
720\N구술사 관련 학술논문 목록.xlsx126
819\N구술사네트워크_웹초청장_지역공간 식순과 약도.jpg118
921\N151117-2015구술사유관기관협의회(안).hwp127
번호구분파일명게시판연결번호
2851\N10호_커버스토리_이동원-박정인구술해제.pdf195
2952\N2017현대한국구술사연구사업_공동학술행사(웹초대장_사이즈조절).jpg205
3053\N171024-[보도자료]공동학술회의.hwp206
3154\N2018_3월전문가초청워크샵.jpg225
3255\N연구결과물4_3단계1차년(7차년도)상세목록집.zip227
3360\N(양식)구술사_시민강좌_수강_신청서.hwp236
3461\Ngetmailinline.jpg237
3562\N28차 전문가 워크숍.jpg240
3663\N3단계+결과물+표준화+이관+안내+지침.pdf243
3764\N현대한국구술자료관 자료에 담긴 518에 대한 기억.hwp258