Overview

Dataset statistics

Number of variables6
Number of observations35
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.8 KiB
Average record size in memory53.8 B

Variable types

Categorical1
Text3
Numeric2

Dataset

Description독립기념관 2022년 연간 교육계획에 관한 자료로 사업분류, 대상, 사업명, 운영기간, 운영계획(횟수), 운영계획(인원)에 관한 정보를 제공합니다.
URLhttps://www.data.go.kr/data/15045223/fileData.do

Alerts

계획(횟수) is highly overall correlated with 계획(인원)High correlation
계획(인원) is highly overall correlated with 계획(횟수)High correlation
사업명 has unique valuesUnique

Reproduction

Analysis started2023-12-12 10:40:26.879307
Analysis finished2023-12-12 10:40:27.978890
Duration1.1 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

사업분류
Categorical

Distinct10
Distinct (%)28.6%
Missing0
Missing (%)0.0%
Memory size412.0 B
일반인 전문가교육
9 
독립군 체험학교
5 
독도학교
5 
대외협력교육
5 
임시정부 체험학교
4 
Other values (5)
7 

Length

Max length9
Median length8
Mean length7
Min length4

Unique

Unique3 ?
Unique (%)8.6%

Sample

1st row어린이교육
2nd row어린이교육
3rd row청소년교육
4th row가족교육
5th row독립군 체험학교

Common Values

ValueCountFrequency (%)
일반인 전문가교육 9
25.7%
독립군 체험학교 5
14.3%
독도학교 5
14.3%
대외협력교육 5
14.3%
임시정부 체험학교 4
11.4%
어린이교육 2
 
5.7%
문화다양성교육 2
 
5.7%
청소년교육 1
 
2.9%
가족교육 1
 
2.9%
외국인교육 1
 
2.9%

Length

2023-12-12T19:40:28.060004image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T19:40:28.221873image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
일반인 9
17.0%
전문가교육 9
17.0%
체험학교 9
17.0%
독립군 5
9.4%
독도학교 5
9.4%
대외협력교육 5
9.4%
임시정부 4
7.5%
어린이교육 2
 
3.8%
문화다양성교육 2
 
3.8%
청소년교육 1
 
1.9%
Other values (2) 2
 
3.8%

대상
Text

Distinct23
Distinct (%)65.7%
Missing0
Missing (%)0.0%
Memory size412.0 B
2023-12-12T19:40:28.489961image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length10
Median length9
Mean length4.7428571
Min length2

Characters and Unicode

Total characters166
Distinct characters52
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique16 ?
Unique (%)45.7%

Sample

1st row초등개인
2nd row초등단체
3rd row중고등단체
4th row가족/관람객
5th row초등단체
ValueCountFrequency (%)
초등단체 7
17.5%
가족/관람객 3
 
7.5%
교원 2
 
5.0%
중고등단체 2
 
5.0%
중등단체 2
 
5.0%
외국인 2
 
5.0%
군인 2
 
5.0%
교육 1
 
2.5%
일반인/군인 1
 
2.5%
개인 1
 
2.5%
Other values (17) 17
42.5%
2023-12-12T19:40:29.404542image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
등 16
 
9.6%
인 11
 
6.6%
단 11
 
6.6%
체 11
 
6.6%
초 9
 
5.4%
교 7
 
4.2%
족 6
 
3.6%
/ 6
 
3.6%
가 6
 
3.6%
5
 
3.0%
Other values (42) 78
47.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 152
91.6%
Other Punctuation 6
 
3.6%
Space Separator 5
 
3.0%
Connector Punctuation 3
 
1.8%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
등 16
 
10.5%
인 11
 
7.2%
단 11
 
7.2%
체 11
 
7.2%
초 9
 
5.9%
교 7
 
4.6%
족 6
 
3.9%
가 6
 
3.9%
고 4
 
2.6%
원 4
 
2.6%
Other values (39) 67
44.1%
Other Punctuation
ValueCountFrequency (%)
/ 6
100.0%
Space Separator
ValueCountFrequency (%)
5
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 152
91.6%
Common 14
 
8.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
등 16
 
10.5%
인 11
 
7.2%
단 11
 
7.2%
체 11
 
7.2%
초 9
 
5.9%
교 7
 
4.6%
족 6
 
3.9%
가 6
 
3.9%
고 4
 
2.6%
원 4
 
2.6%
Other values (39) 67
44.1%
Common
ValueCountFrequency (%)
/ 6
42.9%
5
35.7%
_ 3
21.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 152
91.6%
ASCII 14
 
8.4%

Most frequent character per block

Hangul
ValueCountFrequency (%)
등 16
 
10.5%
인 11
 
7.2%
단 11
 
7.2%
체 11
 
7.2%
초 9
 
5.9%
교 7
 
4.6%
족 6
 
3.9%
가 6
 
3.9%
고 4
 
2.6%
원 4
 
2.6%
Other values (39) 67
44.1%
ASCII
ValueCountFrequency (%)
/ 6
42.9%
5
35.7%
_ 3
21.4%

사업명
Text

UNIQUE 

Distinct35
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size412.0 B
2023-12-12T19:40:29.816050image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length35
Median length18
Mean length15
Min length6

Characters and Unicode

Total characters525
Distinct characters161
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

Unique35 ?
Unique (%)100.0%

Sample

1st row토요역사체험
2nd row우리 우리 태극기
3rd row나는 청소년 학예사
4th row꼬리에 꼬리를 무는 3·1운동 탐방이야기
5th row어린이 독립군체험학교
ValueCountFrequency (%)
독립운동 4
 
3.4%
임시정부 4
 
3.4%
대한민국 4
 
3.4%
우리 3
 
2.5%
및 2
 
1.7%
독립군체험학교 2
 
1.7%
독도는 2
 
1.7%
독립기념관 2
 
1.7%
양성 2
 
1.7%
찾아가는 2
 
1.7%
Other values (86) 92
77.3%
2023-12-12T19:40:30.438758image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
84
 
16.0%
독 19
 
3.6%
교 15
 
2.9%
립 15
 
2.9%
o 12
 
2.3%
사 11
 
2.1%
육 10
 
1.9%
운 8
 
1.5%
동 8
 
1.5%
군 8
 
1.5%
Other values (151) 335
63.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 366
69.7%
Space Separator 84
 
16.0%
Lowercase Letter 48
 
9.1%
Uppercase Letter 10
 
1.9%
Other Punctuation 7
 
1.3%
Close Punctuation 4
 
0.8%
Open Punctuation 4
 
0.8%
Decimal Number 2
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
독 19
 
5.2%
교 15
 
4.1%
립 15
 
4.1%
사 11
 
3.0%
육 10
 
2.7%
운 8
 
2.2%
동 8
 
2.2%
군 8
 
2.2%
리 8
 
2.2%
기 7
 
1.9%
Other values (117) 257
70.2%
Lowercase Letter
ValueCountFrequency (%)
o 12
25.0%
e 7
14.6%
d 5
10.4%
a 3
 
6.2%
t 3
 
6.2%
k 3
 
6.2%
r 2
 
4.2%
n 2
 
4.2%
y 2
 
4.2%
p 2
 
4.2%
Other values (7) 7
14.6%
Uppercase Letter
ValueCountFrequency (%)
D 3
30.0%
G 1
 
10.0%
L 1
 
10.0%
N 1
 
10.0%
O 1
 
10.0%
S 1
 
10.0%
W 1
 
10.0%
K 1
 
10.0%
Other Punctuation
ValueCountFrequency (%)
! 3
42.9%
? 2
28.6%
/ 1
 
14.3%
· 1
 
14.3%
Decimal Number
ValueCountFrequency (%)
1 1
50.0%
3 1
50.0%
Space Separator
ValueCountFrequency (%)
84
100.0%
Close Punctuation
ValueCountFrequency (%)
) 4
100.0%
Open Punctuation
ValueCountFrequency (%)
( 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 366
69.7%
Common 101
 
19.2%
Latin 58
 
11.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
독 19
 
5.2%
교 15
 
4.1%
립 15
 
4.1%
사 11
 
3.0%
육 10
 
2.7%
운 8
 
2.2%
동 8
 
2.2%
군 8
 
2.2%
리 8
 
2.2%
기 7
 
1.9%
Other values (117) 257
70.2%
Latin
ValueCountFrequency (%)
o 12
20.7%
e 7
12.1%
d 5
 
8.6%
a 3
 
5.2%
t 3
 
5.2%
k 3
 
5.2%
D 3
 
5.2%
r 2
 
3.4%
n 2
 
3.4%
y 2
 
3.4%
Other values (15) 16
27.6%
Common
ValueCountFrequency (%)
84
83.2%
) 4
 
4.0%
( 4
 
4.0%
! 3
 
3.0%
? 2
 
2.0%
/ 1
 
1.0%
1 1
 
1.0%
· 1
 
1.0%
3 1
 
1.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 366
69.7%
ASCII 158
30.1%
None 1
 
0.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
84
53.2%
o 12
 
7.6%
e 7
 
4.4%
d 5
 
3.2%
) 4
 
2.5%
( 4
 
2.5%
a 3
 
1.9%
t 3
 
1.9%
k 3
 
1.9%
D 3
 
1.9%
Other values (23) 30
 
19.0%
Hangul
ValueCountFrequency (%)
독 19
 
5.2%
교 15
 
4.1%
립 15
 
4.1%
사 11
 
3.0%
육 10
 
2.7%
운 8
 
2.2%
동 8
 
2.2%
군 8
 
2.2%
리 8
 
2.2%
기 7
 
1.9%
Other values (117) 257
70.2%
None
ValueCountFrequency (%)
· 1
100.0%

운영기간
Text

Distinct26
Distinct (%)74.3%
Missing0
Missing (%)0.0%
Memory size412.0 B
2023-12-12T19:40:30.708963image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length11
Median length9
Mean length5.2857143
Min length2

Characters and Unicode

Total characters185
Distinct characters13
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique20 ?
Unique (%)57.1%

Sample

1st row9월~11월
2nd row8월~11월
3rd row4월~11월
4th row3월
5th row3월~11월
ValueCountFrequency (%)
1월~12월 4
 
11.4%
9월~11월 3
 
8.6%
3월~4월 2
 
5.7%
7월~12월 2
 
5.7%
5월~11월 2
 
5.7%
3월 2
 
5.7%
4월/8월 1
 
2.9%
4월~6월 1
 
2.9%
5월 1
 
2.9%
6월 1
 
2.9%
Other values (16) 16
45.7%
2023-12-12T19:40:31.103994image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
월 67
36.2%
1 35
18.9%
~ 24
 
13.0%
/ 8
 
4.3%
2 7
 
3.8%
3 7
 
3.8%
4 7
 
3.8%
5 7
 
3.8%
9 6
 
3.2%
7 6
 
3.2%
Other values (3) 11
 
5.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 86
46.5%
Other Letter 67
36.2%
Math Symbol 24
 
13.0%
Other Punctuation 8
 
4.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 35
40.7%
2 7
 
8.1%
3 7
 
8.1%
4 7
 
8.1%
5 7
 
8.1%
9 6
 
7.0%
7 6
 
7.0%
8 6
 
7.0%
6 3
 
3.5%
0 2
 
2.3%
Other Letter
ValueCountFrequency (%)
월 67
100.0%
Math Symbol
ValueCountFrequency (%)
~ 24
100.0%
Other Punctuation
ValueCountFrequency (%)
/ 8
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 118
63.8%
Hangul 67
36.2%

Most frequent character per script

Common
ValueCountFrequency (%)
1 35
29.7%
~ 24
20.3%
/ 8
 
6.8%
2 7
 
5.9%
3 7
 
5.9%
4 7
 
5.9%
5 7
 
5.9%
9 6
 
5.1%
7 6
 
5.1%
8 6
 
5.1%
Other values (2) 5
 
4.2%
Hangul
ValueCountFrequency (%)
월 67
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 118
63.8%
Hangul 67
36.2%

Most frequent character per block

Hangul
ValueCountFrequency (%)
월 67
100.0%
ASCII
ValueCountFrequency (%)
1 35
29.7%
~ 24
20.3%
/ 8
 
6.8%
2 7
 
5.9%
3 7
 
5.9%
4 7
 
5.9%
5 7
 
5.9%
9 6
 
5.1%
7 6
 
5.1%
8 6
 
5.1%
Other values (2) 5
 
4.2%

계획(횟수)
Real number (ℝ)

HIGH CORRELATION 

Distinct13
Distinct (%)37.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9.2857143
Minimum1
Maximum60
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size447.0 B
2023-12-12T19:40:31.283061image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median3
Q316
95-th percentile27.9
Maximum60
Range59
Interquartile range (IQR)15

Descriptive statistics

Standard deviation12.56178
Coefficient of variation (CV)1.3528071
Kurtosis6.7053635
Mean9.2857143
Median Absolute Deviation (MAD)2
Skewness2.2866236
Sum325
Variance157.79832
MonotonicityNot monotonic
2023-12-12T19:40:31.413908image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%)
1 10
28.6%
2 7
20.0%
20 4
 
11.4%
5 3
 
8.6%
4 2
 
5.7%
15 2
 
5.7%
17 1
 
2.9%
60 1
 
2.9%
30 1
 
2.9%
27 1
 
2.9%
Other values (3) 3
 
8.6%
ValueCountFrequency (%)
1 10
28.6%
2 7
20.0%
3 1
 
2.9%
4 2
 
5.7%
5 3
 
8.6%
6 1
 
2.9%
15 2
 
5.7%
17 1
 
2.9%
20 4
 
11.4%
25 1
 
2.9%
ValueCountFrequency (%)
60 1
 
2.9%
30 1
 
2.9%
27 1
 
2.9%
25 1
 
2.9%
20 4
11.4%
17 1
 
2.9%
15 2
5.7%
6 1
 
2.9%
5 3
8.6%
4 2
5.7%

계획(인원)
Real number (ℝ)

HIGH CORRELATION 

Distinct24
Distinct (%)68.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1058.0571
Minimum15
Maximum14000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size447.0 B
2023-12-12T19:40:31.601346image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum15
5-th percentile29.4
Q180
median440
Q31100
95-th percentile3000
Maximum14000
Range13985
Interquartile range (IQR)1020

Descriptive statistics

Standard deviation2388.1789
Coefficient of variation (CV)2.257136
Kurtosis27.029673
Mean1058.0571
Median Absolute Deviation (MAD)360
Skewness4.9660704
Sum37032
Variance5703398.5
MonotonicityNot monotonic
2023-12-12T19:40:31.758050image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=24)
ValueCountFrequency (%)
80 5
 
14.3%
500 3
 
8.6%
40 3
 
8.6%
1500 2
 
5.7%
375 2
 
5.7%
3000 2
 
5.7%
28 1
 
2.9%
160 1
 
2.9%
15 1
 
2.9%
100 1
 
2.9%
Other values (14) 14
40.0%
ValueCountFrequency (%)
15 1
 
2.9%
28 1
 
2.9%
30 1
 
2.9%
40 3
8.6%
80 5
14.3%
100 1
 
2.9%
160 1
 
2.9%
200 1
 
2.9%
375 2
 
5.7%
425 1
 
2.9%
ValueCountFrequency (%)
14000 1
2.9%
3000 2
5.7%
2000 1
2.9%
1800 1
2.9%
1500 2
5.7%
1320 1
2.9%
1200 1
2.9%
1000 1
2.9%
800 1
2.9%
600 1
2.9%

Interactions

2023-12-12T19:40:27.398432image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T19:40:27.172905image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T19:40:27.506291image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T19:40:27.269328image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T19:40:31.873847image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
사업분류대상사업명운영기간계획(횟수)계획(인원)
사업분류1.0000.0001.0000.8420.5260.000
대상0.0001.0001.0000.0000.0000.000
사업명1.0001.0001.0001.0001.0001.000
운영기간0.8420.0001.0001.0000.7530.000
계획(횟수)0.5260.0001.0000.7531.0000.000
계획(인원)0.0000.0001.0000.0000.0001.000
2023-12-12T19:40:32.020218image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
계획(횟수)계획(인원)사업분류
계획(횟수)1.0000.5320.205
계획(인원)0.5321.0000.000
사업분류0.2050.0001.000

Missing values

2023-12-12T19:40:27.655883image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T19:40:27.921887image/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

사업분류대상사업명운영기간계획(횟수)계획(인원)
0어린이교육초등개인토요역사체험9월~11월280
1어린이교육초등단체우리 우리 태극기8월~11월20440
2청소년교육중고등단체나는 청소년 학예사4월~11월17425
3가족교육가족/관람객꼬리에 꼬리를 무는 3·1운동 탐방이야기3월280
4독립군 체험학교초등단체어린이 독립군체험학교3월~11월601320
5독립군 체험학교초등단체모바일 독립군 탐방4월~6월301800
6독립군 체험학교중등단체청소년 독립군체험캠프8월~9월5600
7독립군 체험학교가족/관람객찾아라 독립군5월/9월22000
8독립군 체험학교방문교육찾아가는 독립군체험학교7월/11월41500
9독도학교초등단체독도는 어떤 모습일까요?3월~5월27594
사업분류대상사업명운영기간계획(횟수)계획(인원)
25일반인 전문가교육군인찾아가는 독립기념관(군인)4월/5월/10월31200
26일반인 전문가교육교육 서포터즈독립기념관 알리샘 선발 및 교육3월~4월140
27외국인교육외국인독립 한걸음 Step by step1월~11월201000
28문화다양성교육초등단체 등문화다양성교육 공감더하기5월/7월~12월20500
29문화다양성교육장애아동안녕 독립기념관7월~12월5100
30대외협력교육초등단체강사양성 파견교육용 프로그램 개발 및 운영5월~11월63000
31대외협력교육성인충남 교육청 연계 독립운동 교육강사 양성3월~4월115
32대외협력교육고등학교 동아리충청권 역사교육 한마당6월1160
33대외협력교육고등 개인충청권 역사동아리 학생답사8월128
34대외협력교육초등학생방과 후 놀러 ON 홈캠프 독립군체험교육3월1500