Overview

Dataset statistics

Number of variables5
Number of observations100
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory4.2 KiB
Average record size in memory43.3 B

Variable types

Numeric2
Text2
DateTime1

Dataset

Description창의인성교육 온라인 컨설팅 중 우수 내용을 선별하여 제작한 백문백답에 대한 정보입니다. 해당 데이터가 보유한 컬럼은 다음과 같습니다. 컬럼명 : 순차, 게시물 제목, 파일명, 등록날짜, 다운로드수
Author한국과학창의재단
URLhttps://www.data.go.kr/data/15071664/fileData.do

Alerts

등록날짜 has constant value ""Constant
순차 has unique valuesUnique
게시물 제목 has unique valuesUnique
파일명 has unique valuesUnique

Reproduction

Analysis started2023-12-12 14:16:02.386978
Analysis finished2023-12-12 14:16:03.349256
Duration0.96 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

순차
Real number (ℝ)

UNIQUE 

Distinct100
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean50.5
Minimum1
Maximum100
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-12T23:16:03.415648image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile5.95
Q125.75
median50.5
Q375.25
95-th percentile95.05
Maximum100
Range99
Interquartile range (IQR)49.5

Descriptive statistics

Standard deviation29.011492
Coefficient of variation (CV)0.57448499
Kurtosis-1.2
Mean50.5
Median Absolute Deviation (MAD)25
Skewness0
Sum5050
Variance841.66667
MonotonicityStrictly increasing
2023-12-12T23:16:03.533568image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
1.0%
65 1
 
1.0%
75 1
 
1.0%
74 1
 
1.0%
73 1
 
1.0%
72 1
 
1.0%
71 1
 
1.0%
70 1
 
1.0%
69 1
 
1.0%
68 1
 
1.0%
Other values (90) 90
90.0%
ValueCountFrequency (%)
1 1
1.0%
2 1
1.0%
3 1
1.0%
4 1
1.0%
5 1
1.0%
6 1
1.0%
7 1
1.0%
8 1
1.0%
9 1
1.0%
10 1
1.0%
ValueCountFrequency (%)
100 1
1.0%
99 1
1.0%
98 1
1.0%
97 1
1.0%
96 1
1.0%
95 1
1.0%
94 1
1.0%
93 1
1.0%
92 1
1.0%
91 1
1.0%

게시물 제목
Text

UNIQUE 

Distinct100
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
2023-12-12T23:16:03.790380image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length36
Median length25
Mean length18.36
Min length4

Characters and Unicode

Total characters1836
Distinct characters210
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique100 ?
Unique (%)100.0%

Sample

1st row교과에서의 차별화된 인성교육
2nd row교과와 연계한 프로젝트 수업
3rd row교과지도와 생활지도
4th row독서교육
5th row수업 분위기 개선 방법
ValueCountFrequency (%)
교육과정 20
 
4.4%
재구성 13
 
2.9%
방법 11
 
2.4%
동아리 9
 
2.0%
위한 9
 
2.0%
시 7
 
1.5%
방안 7
 
1.5%
수업 7
 
1.5%
프로젝트 7
 
1.5%
활동 6
 
1.3%
Other values (270) 357
78.8%
2023-12-12T23:16:04.170068image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
353
 
19.2%
의 78
 
4.2%
교 65
 
3.5%
성 64
 
3.5%
과 55
 
3.0%
육 45
 
2.5%
인 41
 
2.2%
학 35
 
1.9%
창 35
 
1.9%
수 35
 
1.9%
Other values (200) 1030
56.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1444
78.6%
Space Separator 353
 
19.2%
Other Punctuation 24
 
1.3%
Uppercase Letter 5
 
0.3%
Open Punctuation 3
 
0.2%
Close Punctuation 3
 
0.2%
Decimal Number 3
 
0.2%
Math Symbol 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
의 78
 
5.4%
교 65
 
4.5%
성 64
 
4.4%
과 55
 
3.8%
육 45
 
3.1%
인 41
 
2.8%
학 35
 
2.4%
창 35
 
2.4%
수 35
 
2.4%
방 32
 
2.2%
Other values (186) 959
66.4%
Uppercase Letter
ValueCountFrequency (%)
M 1
20.0%
A 1
20.0%
E 1
20.0%
T 1
20.0%
S 1
20.0%
Decimal Number
ValueCountFrequency (%)
4 1
33.3%
2 1
33.3%
1 1
33.3%
Other Punctuation
ValueCountFrequency (%)
· 20
83.3%
, 4
 
16.7%
Space Separator
ValueCountFrequency (%)
353
100.0%
Open Punctuation
ValueCountFrequency (%)
( 3
100.0%
Close Punctuation
ValueCountFrequency (%)
) 3
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1444
78.6%
Common 387
 
21.1%
Latin 5
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
의 78
 
5.4%
교 65
 
4.5%
성 64
 
4.4%
과 55
 
3.8%
육 45
 
3.1%
인 41
 
2.8%
학 35
 
2.4%
창 35
 
2.4%
수 35
 
2.4%
방 32
 
2.2%
Other values (186) 959
66.4%
Common
ValueCountFrequency (%)
353
91.2%
· 20
 
5.2%
, 4
 
1.0%
( 3
 
0.8%
) 3
 
0.8%
4 1
 
0.3%
2 1
 
0.3%
~ 1
 
0.3%
1 1
 
0.3%
Latin
ValueCountFrequency (%)
M 1
20.0%
A 1
20.0%
E 1
20.0%
T 1
20.0%
S 1
20.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1444
78.6%
ASCII 372
 
20.3%
None 20
 
1.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
353
94.9%
, 4
 
1.1%
( 3
 
0.8%
) 3
 
0.8%
4 1
 
0.3%
2 1
 
0.3%
~ 1
 
0.3%
1 1
 
0.3%
M 1
 
0.3%
A 1
 
0.3%
Other values (3) 3
 
0.8%
Hangul
ValueCountFrequency (%)
의 78
 
5.4%
교 65
 
4.5%
성 64
 
4.4%
과 55
 
3.8%
육 45
 
3.1%
인 41
 
2.8%
학 35
 
2.4%
창 35
 
2.4%
수 35
 
2.4%
방 32
 
2.2%
Other values (186) 959
66.4%
None
ValueCountFrequency (%)
· 20
100.0%

파일명
Text

UNIQUE 

Distinct100
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
2023-12-12T23:16:04.439143image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length17
Median length12
Mean length12.29
Min length10

Characters and Unicode

Total characters1229
Distinct characters28
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique100 ?
Unique (%)100.0%

Sample

1st rowclass_1.pdf
2nd rowclass_2.pdf
3rd rowclass_3.pdf
4th rowclass_4.pdf
5th rowclass_5.pdf
ValueCountFrequency (%)
class_1.pdf 1
 
1.0%
course_15.pdf 1
 
1.0%
experience_1.pdf 1
 
1.0%
course_25.pdf 1
 
1.0%
course_24.pdf 1
 
1.0%
course_23.pdf 1
 
1.0%
course_22.pdf 1
 
1.0%
course_21.pdf 1
 
1.0%
course_20.pdf 1
 
1.0%
course_19.pdf 1
 
1.0%
Other values (90) 90
90.0%
2023-12-12T23:16:04.812942image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
s 128
10.4%
p 110
 
9.0%
c 100
 
8.1%
_ 100
 
8.1%
. 100
 
8.1%
d 100
 
8.1%
f 100
 
8.1%
l 65
 
5.3%
e 65
 
5.3%
a 48
 
3.9%
Other values (18) 313
25.5%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 872
71.0%
Decimal Number 157
 
12.8%
Connector Punctuation 100
 
8.1%
Other Punctuation 100
 
8.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
s 128
14.7%
p 110
12.6%
c 100
11.5%
d 100
11.5%
f 100
11.5%
l 65
7.5%
e 65
7.5%
a 48
 
5.5%
o 39
 
4.5%
u 35
 
4.0%
Other values (6) 82
9.4%
Decimal Number
ValueCountFrequency (%)
1 33
21.0%
2 27
17.2%
3 21
13.4%
4 20
12.7%
5 11
 
7.0%
7 10
 
6.4%
6 10
 
6.4%
8 9
 
5.7%
0 8
 
5.1%
9 8
 
5.1%
Connector Punctuation
ValueCountFrequency (%)
_ 100
100.0%
Other Punctuation
ValueCountFrequency (%)
. 100
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 872
71.0%
Common 357
29.0%

Most frequent character per script

Latin
ValueCountFrequency (%)
s 128
14.7%
p 110
12.6%
c 100
11.5%
d 100
11.5%
f 100
11.5%
l 65
7.5%
e 65
7.5%
a 48
 
5.5%
o 39
 
4.5%
u 35
 
4.0%
Other values (6) 82
9.4%
Common
ValueCountFrequency (%)
_ 100
28.0%
. 100
28.0%
1 33
 
9.2%
2 27
 
7.6%
3 21
 
5.9%
4 20
 
5.6%
5 11
 
3.1%
7 10
 
2.8%
6 10
 
2.8%
8 9
 
2.5%
Other values (2) 16
 
4.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1229
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
s 128
10.4%
p 110
 
9.0%
c 100
 
8.1%
_ 100
 
8.1%
. 100
 
8.1%
d 100
 
8.1%
f 100
 
8.1%
l 65
 
5.3%
e 65
 
5.3%
a 48
 
3.9%
Other values (18) 313
25.5%

등록날짜
Date

CONSTANT 

Distinct1
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
Minimum2016-02-07 00:00:00
Maximum2016-02-07 00:00:00
2023-12-12T23:16:04.928360image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:16:05.046438image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

다운로드수
Real number (ℝ)

Distinct80
Distinct (%)80.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean290.79
Minimum68
Maximum2569
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-12T23:16:05.150355image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum68
5-th percentile82
Q1103.75
median148
Q3270
95-th percentile1028.5
Maximum2569
Range2501
Interquartile range (IQR)166.25

Descriptive statistics

Standard deviation433.76583
Coefficient of variation (CV)1.4916807
Kurtosis17.118698
Mean290.79
Median Absolute Deviation (MAD)52.5
Skewness3.9794916
Sum29079
Variance188152.79
MonotonicityNot monotonic
2023-12-12T23:16:05.276553image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
82 3
 
3.0%
94 3
 
3.0%
72 2
 
2.0%
89 2
 
2.0%
97 2
 
2.0%
137 2
 
2.0%
117 2
 
2.0%
180 2
 
2.0%
162 2
 
2.0%
102 2
 
2.0%
Other values (70) 78
78.0%
ValueCountFrequency (%)
68 1
 
1.0%
72 2
2.0%
82 3
3.0%
83 1
 
1.0%
85 2
2.0%
86 1
 
1.0%
89 2
2.0%
93 2
2.0%
94 3
3.0%
95 1
 
1.0%
ValueCountFrequency (%)
2569 1
1.0%
2430 1
1.0%
2338 1
1.0%
1084 1
1.0%
1057 1
1.0%
1027 1
1.0%
764 1
1.0%
692 1
1.0%
658 1
1.0%
653 1
1.0%

Interactions

2023-12-12T23:16:02.810164image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:16:02.630461image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:16:03.146209image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:16:02.717586image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T23:16:05.366948image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순차게시물 제목파일명다운로드수
순차1.0001.0001.0000.280
게시물 제목1.0001.0001.0001.000
파일명1.0001.0001.0001.000
다운로드수0.2801.0001.0001.000
2023-12-12T23:16:05.468739image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순차다운로드수
순차1.000-0.130
다운로드수-0.1301.000

Missing values

2023-12-12T23:16:03.229750image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T23:16:03.309396image/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

순차게시물 제목파일명등록날짜다운로드수
01교과에서의 차별화된 인성교육class_1.pdf2016-02-07329
12교과와 연계한 프로젝트 수업class_2.pdf2016-02-07269
23교과지도와 생활지도class_3.pdf2016-02-07112
34독서교육class_4.pdf2016-02-07315
45수업 분위기 개선 방법class_5.pdf2016-02-07120
56수학 수업 중 창의·인성 지도 방법class_6.pdf2016-02-07200
67수학과에서의 창의·인성 교육방법class_7.pdf2016-02-0793
78영어과와 창의·인성교육class_8.pdf2016-02-07187
89원활한 수업 진행을 위한 구체적인 방안class_9.pdf2016-02-07173
910융합 인재교육과 창의·인성교육class_10.pdf2016-02-07439
순차게시물 제목파일명등록날짜다운로드수
9091지속가능한 동아리 및 창체 활동 사레club_8.pdf2016-02-07149
9192봉사와 관련된 동아리 운영사례club_9.pdf2016-02-0768
9293교과와 연계한 동아리 운영사례club_10.pdf2016-02-07130
9394창의· 인성교육 중심 교육과정 편성방법school_1.pdf2016-02-07131
9495학급 경영에 관한 질문school_2.pdf2016-02-0782
9596인성교육과 관련된 좋은 활동 사례school_3.pdf2016-02-071084
9697자율형 창의경영학교school_4.pdf2016-02-07130
9798자율형 창의경영학교의 운영과정의 성과관리school_5.pdf2016-02-0772
9899교육과정 재구성 시 동학년의 협의school_6.pdf2016-02-0785
99100동학년 교사들과의 네트워크 체계를 형성하는 방법school_7.pdf2016-02-0797