Overview

Dataset statistics

Number of variables4
Number of observations47
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.7 KiB
Average record size in memory36.8 B

Variable types

Numeric2
Text1
DateTime1

Dataset

Description일반 국민이 SW AI를 포함하는 디지털 교육, 산업, 정책, 문화 등에 대해 친숙하고 긍정적으로 인식할 수 있는 성과물 제작보급
URLhttps://www.data.go.kr/data/15121091/fileData.do

Alerts

구분 is highly overall correlated with 조회수High correlation
조회수 is highly overall correlated with 구분High correlation
구분 has unique valuesUnique
제목 has unique valuesUnique

Reproduction

Analysis started2023-12-12 21:06:36.550297
Analysis finished2023-12-12 21:06:37.220015
Duration0.67 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

구분
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct47
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean24
Minimum1
Maximum47
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size555.0 B
2023-12-13T06:06:37.305007image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile3.3
Q112.5
median24
Q335.5
95-th percentile44.7
Maximum47
Range46
Interquartile range (IQR)23

Descriptive statistics

Standard deviation13.711309
Coefficient of variation (CV)0.57130455
Kurtosis-1.2
Mean24
Median Absolute Deviation (MAD)12
Skewness0
Sum1128
Variance188
MonotonicityStrictly increasing
2023-12-13T06:06:37.450122image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=47)
ValueCountFrequency (%)
1 1
 
2.1%
2 1
 
2.1%
27 1
 
2.1%
28 1
 
2.1%
29 1
 
2.1%
30 1
 
2.1%
31 1
 
2.1%
32 1
 
2.1%
33 1
 
2.1%
34 1
 
2.1%
Other values (37) 37
78.7%
ValueCountFrequency (%)
1 1
2.1%
2 1
2.1%
3 1
2.1%
4 1
2.1%
5 1
2.1%
6 1
2.1%
7 1
2.1%
8 1
2.1%
9 1
2.1%
10 1
2.1%
ValueCountFrequency (%)
47 1
2.1%
46 1
2.1%
45 1
2.1%
44 1
2.1%
43 1
2.1%
42 1
2.1%
41 1
2.1%
40 1
2.1%
39 1
2.1%
38 1
2.1%

제목
Text

UNIQUE 

Distinct47
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size508.0 B
2023-12-13T06:06:37.705049image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length50
Median length43
Mean length34.829787
Min length22

Characters and Unicode

Total characters1637
Distinct characters180
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique47 ?
Unique (%)100.0%

Sample

1st row[2022년] 인공지능(AI) 교육 선도학교 우수 사례집
2nd row[2022년] 창의 융합형 정보교육실 모델학교 구축 운영사례집
3rd row[2021년] 신나는 SW AI교육 수기 공모전 우수사례집
4th row[2020년] 신나는 SW AI교육 수기 공모전 우수사례집
5th row[2021년] 인공지능(AI)교육 선도학교 컨설팅 가이드북
ValueCountFrequency (%)
sw교육 14
 
4.8%
우수 10
 
3.4%
한국과학창의재단 9
 
3.1%
선도학교 9
 
3.1%
사례집 9
 
3.1%
우수사례집 7
 
2.4%
sw 6
 
2.0%
2018 5
 
1.7%
2016년 5
 
1.7%
에듀테크 5
 
1.7%
Other values (139) 215
73.1%
2023-12-13T06:06:38.084474image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
247
 
15.1%
2 58
 
3.5%
교 57
 
3.5%
[ 46
 
2.8%
] 46
 
2.8%
수 45
 
2.7%
0 41
 
2.5%
S 37
 
2.3%
학 34
 
2.1%
1 34
 
2.1%
Other values (170) 992
60.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 943
57.6%
Space Separator 247
 
15.1%
Decimal Number 165
 
10.1%
Uppercase Letter 109
 
6.7%
Open Punctuation 73
 
4.5%
Close Punctuation 73
 
4.5%
Lowercase Letter 20
 
1.2%
Other Punctuation 4
 
0.2%
Dash Punctuation 3
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
교 57
 
6.0%
수 45
 
4.8%
학 34
 
3.6%
육 31
 
3.3%
우 29
 
3.1%
년 28
 
3.0%
사 27
 
2.9%
집 25
 
2.7%
례 22
 
2.3%
재 22
 
2.3%
Other values (138) 623
66.1%
Decimal Number
ValueCountFrequency (%)
2 58
35.2%
0 41
24.8%
1 34
20.6%
8 8
 
4.8%
6 8
 
4.8%
7 5
 
3.0%
5 4
 
2.4%
4 3
 
1.8%
3 2
 
1.2%
9 2
 
1.2%
Uppercase Letter
ValueCountFrequency (%)
S 37
33.9%
W 31
28.4%
I 13
 
11.9%
A 9
 
8.3%
E 7
 
6.4%
R 6
 
5.5%
K 4
 
3.7%
P 2
 
1.8%
Lowercase Letter
ValueCountFrequency (%)
d 3
15.0%
u 3
15.0%
t 3
15.0%
h 3
15.0%
o 3
15.0%
n 3
15.0%
i 2
10.0%
Open Punctuation
ValueCountFrequency (%)
[ 46
63.0%
( 27
37.0%
Close Punctuation
ValueCountFrequency (%)
] 46
63.0%
) 27
37.0%
Space Separator
ValueCountFrequency (%)
247
100.0%
Other Punctuation
ValueCountFrequency (%)
. 4
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 943
57.6%
Common 565
34.5%
Latin 129
 
7.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
교 57
 
6.0%
수 45
 
4.8%
학 34
 
3.6%
육 31
 
3.3%
우 29
 
3.1%
년 28
 
3.0%
사 27
 
2.9%
집 25
 
2.7%
례 22
 
2.3%
재 22
 
2.3%
Other values (138) 623
66.1%
Common
ValueCountFrequency (%)
247
43.7%
2 58
 
10.3%
[ 46
 
8.1%
] 46
 
8.1%
0 41
 
7.3%
1 34
 
6.0%
) 27
 
4.8%
( 27
 
4.8%
8 8
 
1.4%
6 8
 
1.4%
Other values (7) 23
 
4.1%
Latin
ValueCountFrequency (%)
S 37
28.7%
W 31
24.0%
I 13
 
10.1%
A 9
 
7.0%
E 7
 
5.4%
R 6
 
4.7%
K 4
 
3.1%
d 3
 
2.3%
u 3
 
2.3%
t 3
 
2.3%
Other values (5) 13
 
10.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 943
57.6%
ASCII 694
42.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
247
35.6%
2 58
 
8.4%
[ 46
 
6.6%
] 46
 
6.6%
0 41
 
5.9%
S 37
 
5.3%
1 34
 
4.9%
W 31
 
4.5%
) 27
 
3.9%
( 27
 
3.9%
Other values (22) 100
14.4%
Hangul
ValueCountFrequency (%)
교 57
 
6.0%
수 45
 
4.8%
학 34
 
3.6%
육 31
 
3.3%
우 29
 
3.1%
년 28
 
3.0%
사 27
 
2.9%
집 25
 
2.7%
례 22
 
2.3%
재 22
 
2.3%
Other values (138) 623
66.1%

등록일자
Date

Distinct31
Distinct (%)66.0%
Missing0
Missing (%)0.0%
Memory size508.0 B
Minimum2016-04-26 00:00:00
Maximum2023-03-17 00:00:00
2023-12-13T06:06:38.213748image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T06:06:38.318453image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=31)

조회수
Real number (ℝ)

HIGH CORRELATION 

Distinct40
Distinct (%)85.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean91.276596
Minimum13
Maximum467
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size555.0 B
2023-12-13T06:06:38.449936image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum13
5-th percentile17.8
Q132.5
median41
Q3113
95-th percentile315.5
Maximum467
Range454
Interquartile range (IQR)80.5

Descriptive statistics

Standard deviation100.42165
Coefficient of variation (CV)1.1001906
Kurtosis4.7394651
Mean91.276596
Median Absolute Deviation (MAD)18
Skewness2.1555534
Sum4290
Variance10084.509
MonotonicityNot monotonic
2023-12-13T06:06:38.599458image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=40)
ValueCountFrequency (%)
27 3
 
6.4%
37 2
 
4.3%
33 2
 
4.3%
34 2
 
4.3%
39 2
 
4.3%
43 2
 
4.3%
22 1
 
2.1%
36 1
 
2.1%
14 1
 
2.1%
31 1
 
2.1%
Other values (30) 30
63.8%
ValueCountFrequency (%)
13 1
 
2.1%
14 1
 
2.1%
16 1
 
2.1%
22 1
 
2.1%
23 1
 
2.1%
27 3
6.4%
29 1
 
2.1%
30 1
 
2.1%
31 1
 
2.1%
32 1
 
2.1%
ValueCountFrequency (%)
467 1
2.1%
379 1
2.1%
350 1
2.1%
235 1
2.1%
226 1
2.1%
187 1
2.1%
176 1
2.1%
171 1
2.1%
166 1
2.1%
145 1
2.1%

Interactions

2023-12-13T06:06:36.880232image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T06:06:36.730913image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T06:06:36.960020image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T06:06:36.799973image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-13T06:06:38.700700image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
구분제목등록일자조회수
구분1.0001.0000.9520.626
제목1.0001.0001.0001.000
등록일자0.9521.0001.0000.703
조회수0.6261.0000.7031.000
2023-12-13T06:06:38.793252image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
구분조회수
구분1.000-0.692
조회수-0.6921.000

Missing values

2023-12-13T06:06:37.061414image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T06:06:37.183986image/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

구분제목등록일자조회수
01[2022년] 인공지능(AI) 교육 선도학교 우수 사례집2023-01-19379
12[2022년] 창의 융합형 정보교육실 모델학교 구축 운영사례집2023-03-1780
23[2021년] 신나는 SW AI교육 수기 공모전 우수사례집2022-07-04350
34[2020년] 신나는 SW AI교육 수기 공모전 우수사례집2022-07-04145
45[2021년] 인공지능(AI)교육 선도학교 컨설팅 가이드북2022-06-15226
56[2022년] AI융합교육 중심고등학교 운영 가이드 및 우수사례집2022-06-10171
67[2021년] 제3회 SWAI 수업 우수사례 공모전 우수사례집2022-06-02176
78[2021년] SW AI 에듀톤[Edu-thon] 대회 수업 콘텐츠2022-03-18187
89[2021년] 인공지능(AI) 교육 선도학교 우수 사례집2022-01-17467
910[2020년] SW교육 선도학교 우수 사례집2022-01-17117
구분제목등록일자조회수
3738[SPRi 포럼] 소프트웨어 인력 양성을 위한 대학 육성 방안 (2015.1.27 11회)2016-12-1916
3839[교재] 2016년 SW교육 초중등 교원 연수교재(KERIS)2016-12-0939
39402016년 SW교육 초중등 교원 연수 프로그램(KERIS)2016-12-0927
4041[교재] 2016년 SW교육 담당교원 역량강화(중등일반) 연수교재(KERIS)2016-12-0913
4142[자료] 2016년 SW교육 연구선도학교 컨설팅 가이드(KERIS)2016-12-0935
4243대학생은 공짜 기업이 자사 SW를 무료로 푸는 이유2016-11-1039
4344[SW중심대학 집중탐구] 제 1탄 경북대 서강대2016-11-0943
4445[한국과학창의재단] SW교육 우수현장(영국) 체험 연수 보고서2016-06-0946
4546[한국과학창의재단]2015년 소프트웨어(SW)교육 교사연구회 우수 최종보고서2016-05-2034
4647[한국과학창의재단]2016년 소프트웨어(SW)교육 교구 활용 교사연구회 우수 최종보고서2016-04-2641