Overview

Dataset statistics

Number of variables7
Number of observations10000
Missing cells12314
Missing cells (%)17.6%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory634.8 KiB
Average record size in memory65.0 B

Variable types

Numeric1
DateTime1
Text5

Dataset

Description2014년부터 2021년까지 운영된 창의적 체험활동 프로그램 정보로 특히 학생·자녀 등을 위해 창의적 체험활동을 계획하는 학부모·교사 등에게 유용하게 활용될 수 있음. 더욱 상세한 정보는 한국과학창의재단에서 운영하는 창의인성교육넷 크레존(Crezone)에서 확인 가능함 URL: https://www.crezone.net/
Author한국과학창의재단
URLhttps://www.data.go.kr/data/15091154/fileData.do

Alerts

모집시작 has 6148 (61.5%) missing valuesMissing
모집마감 has 6166 (61.7%) missing valuesMissing
구분 has unique valuesUnique

Reproduction

Analysis started2023-12-12 00:20:26.132420
Analysis finished2023-12-12 00:20:28.105067
Duration1.97 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

구분
Real number (ℝ)

UNIQUE 

Distinct10000
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean10773.941
Minimum2
Maximum21520
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-12T09:20:28.171841image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile1064.9
Q15429.75
median10800
Q316132.25
95-th percentile20485.15
Maximum21520
Range21518
Interquartile range (IQR)10702.5

Descriptive statistics

Standard deviation6206.9823
Coefficient of variation (CV)0.57611069
Kurtosis-1.1942045
Mean10773.941
Median Absolute Deviation (MAD)5347
Skewness0.0032217135
Sum1.077394 × 108
Variance38526629
MonotonicityNot monotonic
2023-12-12T09:20:28.319383image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1703 1
 
< 0.1%
16838 1
 
< 0.1%
2180 1
 
< 0.1%
8484 1
 
< 0.1%
11563 1
 
< 0.1%
11839 1
 
< 0.1%
6433 1
 
< 0.1%
15665 1
 
< 0.1%
11392 1
 
< 0.1%
18423 1
 
< 0.1%
Other values (9990) 9990
99.9%
ValueCountFrequency (%)
2 1
< 0.1%
4 1
< 0.1%
5 1
< 0.1%
6 1
< 0.1%
7 1
< 0.1%
9 1
< 0.1%
12 1
< 0.1%
13 1
< 0.1%
14 1
< 0.1%
18 1
< 0.1%
ValueCountFrequency (%)
21520 1
< 0.1%
21519 1
< 0.1%
21518 1
< 0.1%
21517 1
< 0.1%
21515 1
< 0.1%
21514 1
< 0.1%
21512 1
< 0.1%
21510 1
< 0.1%
21508 1
< 0.1%
21506 1
< 0.1%

모집시작
Date

MISSING 

Distinct831
Distinct (%)21.6%
Missing6148
Missing (%)61.5%
Memory size156.2 KiB
Minimum2008-01-01 00:00:00
Maximum2021-09-18 00:00:00
2023-12-12T09:20:28.443732image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T09:20:28.574069image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

모집마감
Text

MISSING 

Distinct798
Distinct (%)20.8%
Missing6166
Missing (%)61.7%
Memory size156.2 KiB
2023-12-12T09:20:28.883501image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length10
Median length10
Mean length10
Min length10

Characters and Unicode

Total characters38340
Distinct characters11
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique414 ?
Unique (%)10.8%

Sample

1st row2019-08-08
2nd row2020-12-31
3rd row2020-12-31
4th row2020-12-31
5th row2019-07-28
ValueCountFrequency (%)
2020-12-31 1171
30.5%
2019-12-31 219
 
5.7%
2016-12-31 53
 
1.4%
2018-12-31 51
 
1.3%
2018-11-30 50
 
1.3%
2019-11-30 43
 
1.1%
2019-10-31 32
 
0.8%
2019-07-31 30
 
0.8%
2020-02-29 29
 
0.8%
2019-08-31 28
 
0.7%
Other values (788) 2128
55.5%
2023-12-12T09:20:29.337240image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 8213
21.4%
1 7818
20.4%
0 7685
20.0%
- 7668
20.0%
3 2282
 
6.0%
9 1937
 
5.1%
8 919
 
2.4%
6 687
 
1.8%
7 569
 
1.5%
5 305
 
0.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 30672
80.0%
Dash Punctuation 7668
 
20.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 8213
26.8%
1 7818
25.5%
0 7685
25.1%
3 2282
 
7.4%
9 1937
 
6.3%
8 919
 
3.0%
6 687
 
2.2%
7 569
 
1.9%
5 305
 
1.0%
4 257
 
0.8%
Dash Punctuation
ValueCountFrequency (%)
- 7668
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 38340
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
2 8213
21.4%
1 7818
20.4%
0 7685
20.0%
- 7668
20.0%
3 2282
 
6.0%
9 1937
 
5.1%
8 919
 
2.4%
6 687
 
1.8%
7 569
 
1.5%
5 305
 
0.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 38340
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 8213
21.4%
1 7818
20.4%
0 7685
20.0%
- 7668
20.0%
3 2282
 
6.0%
9 1937
 
5.1%
8 919
 
2.4%
6 687
 
1.8%
7 569
 
1.5%
5 305
 
0.8%

체험 대상
Text

Distinct107
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2023-12-12T09:20:29.554305image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length23
Median length19
Mean length11.2031
Min length2

Characters and Unicode

Total characters112031
Distinct characters14
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique26 ?
Unique (%)0.3%

Sample

1st row고등학교,초등학교,교원,중학교,유치원
2nd row유치원,초등학교
3rd row중학교,고등학교,초등학교
4th row고등학교,중학교
5th row고등학교,초등학교,교원,중학교,유치원
ValueCountFrequency (%)
초등학교 1457
14.6%
중학교,고등학교,초등학교 1313
13.1%
고등학교,초등학교,중학교 1140
 
11.4%
고등학교,초등학교,중학교,유치원 713
 
7.1%
중학교,유치원,고등학교,초등학교 689
 
6.9%
중학교,고등학교 542
 
5.4%
고등학교,중학교 368
 
3.7%
중학교 323
 
3.2%
고등학교,초등학교,교원,중학교,유치원 287
 
2.9%
유치원,초등학교 255
 
2.5%
Other values (97) 2913
29.1%
2023-12-12T09:20:29.871680image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
교 23469
20.9%
학 21828
19.5%
, 17387
15.5%
등 14508
12.9%
초 7971
 
7.1%
중 7320
 
6.5%
고 6537
 
5.8%
원 5175
 
4.6%
유 3534
 
3.2%
치 3534
 
3.2%
Other values (4) 768
 
0.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 94644
84.5%
Other Punctuation 17387
 
15.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
교 23469
24.8%
학 21828
23.1%
등 14508
15.3%
초 7971
 
8.4%
중 7320
 
7.7%
고 6537
 
6.9%
원 5175
 
5.5%
유 3534
 
3.7%
치 3534
 
3.7%
일 316
 
0.3%
Other values (3) 452
 
0.5%
Other Punctuation
ValueCountFrequency (%)
, 17387
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 94644
84.5%
Common 17387
 
15.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
교 23469
24.8%
학 21828
23.1%
등 14508
15.3%
초 7971
 
8.4%
중 7320
 
7.7%
고 6537
 
6.9%
원 5175
 
5.5%
유 3534
 
3.7%
치 3534
 
3.7%
일 316
 
0.3%
Other values (3) 452
 
0.5%
Common
ValueCountFrequency (%)
, 17387
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 94644
84.5%
ASCII 17387
 
15.5%

Most frequent character per block

Hangul
ValueCountFrequency (%)
교 23469
24.8%
학 21828
23.1%
등 14508
15.3%
초 7971
 
8.4%
중 7320
 
7.7%
고 6537
 
6.9%
원 5175
 
5.5%
유 3534
 
3.7%
치 3534
 
3.7%
일 316
 
0.3%
Other values (3) 452
 
0.5%
ASCII
ValueCountFrequency (%)
, 17387
100.0%

창의적 체험활동 제목
Text

Distinct9869
Distinct (%)98.7%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2023-12-12T09:20:30.235543image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length87
Median length63
Mean length19.8668
Min length2

Characters and Unicode

Total characters198668
Distinct characters1316
Distinct categories14 ?
Distinct scripts5 ?
Distinct blocks12 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique9759 ?
Unique (%)97.6%

Sample

1st row부산 금정문화회관 동화발레 춤추는 팬더
2nd row충남 목공예체험프로그램
3rd row자연 휴양림에서 캠프 활동하기
4th row마산시립도서관 이용
5th row경기 항공우주박물관 관람 안내
ValueCountFrequency (%)
서울 983
 
2.4%
경기 613
 
1.5%
프로그램 543
 
1.3%
체험 488
 
1.2%
만들기 376
 
0.9%
청소년 302
 
0.7%
온라인 244
 
0.6%
및 237
 
0.6%
대구 231
 
0.6%
찾아서 219
 
0.5%
Other values (17397) 36673
89.6%
2023-12-12T09:20:30.777379image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
38208
 
19.2%
기 3213
 
1.6%
관 3018
 
1.5%
서 2756
 
1.4%
체 2264
 
1.1%
험 2145
 
1.1%
학 1976
 
1.0%
이 1968
 
1.0%
의 1934
 
1.0%
로 1904
 
1.0%
Other values (1306) 139282
70.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 149394
75.2%
Space Separator 38209
 
19.2%
Decimal Number 3661
 
1.8%
Lowercase Letter 2180
 
1.1%
Uppercase Letter 2140
 
1.1%
Other Punctuation 1040
 
0.5%
Close Punctuation 939
 
0.5%
Open Punctuation 936
 
0.5%
Connector Punctuation 71
 
< 0.1%
Modifier Symbol 57
 
< 0.1%
Other values (4) 41
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
기 3213
 
2.2%
관 3018
 
2.0%
서 2756
 
1.8%
체 2264
 
1.5%
험 2145
 
1.4%
학 1976
 
1.3%
이 1968
 
1.3%
의 1934
 
1.3%
로 1904
 
1.3%
교 1870
 
1.3%
Other values (1212) 126346
84.6%
Lowercase Letter
ValueCountFrequency (%)
e 277
12.7%
o 211
 
9.7%
a 194
 
8.9%
n 165
 
7.6%
i 160
 
7.3%
r 138
 
6.3%
t 133
 
6.1%
m 102
 
4.7%
u 94
 
4.3%
s 93
 
4.3%
Other values (17) 613
28.1%
Uppercase Letter
ValueCountFrequency (%)
O 174
 
8.1%
E 155
 
7.2%
D 154
 
7.2%
S 152
 
7.1%
C 141
 
6.6%
M 135
 
6.3%
A 128
 
6.0%
T 124
 
5.8%
I 102
 
4.8%
K 101
 
4.7%
Other values (16) 774
36.2%
Decimal Number
ValueCountFrequency (%)
1 940
25.7%
2 852
23.3%
0 731
20.0%
9 400
10.9%
3 174
 
4.8%
4 137
 
3.7%
6 126
 
3.4%
8 108
 
3.0%
5 107
 
2.9%
7 86
 
2.3%
Other Punctuation
ValueCountFrequency (%)
, 646
62.1%
. 284
27.3%
/ 97
 
9.3%
* 7
 
0.7%
% 3
 
0.3%
@ 3
 
0.3%
Math Symbol
ValueCountFrequency (%)
≫ 4
33.3%
≪ 4
33.3%
× 2
16.7%
= 1
 
8.3%
∼ 1
 
8.3%
Other Symbol
ValueCountFrequency (%)
○ 3
42.9%
♬ 2
28.6%
─ 1
 
14.3%
♥ 1
 
14.3%
Close Punctuation
ValueCountFrequency (%)
) 935
99.6%
〉 2
 
0.2%
} 2
 
0.2%
Open Punctuation
ValueCountFrequency (%)
( 932
99.6%
〈 2
 
0.2%
{ 2
 
0.2%
Letter Number
ValueCountFrequency (%)
Ⅱ 10
66.7%
Ⅰ 4
 
26.7%
Ⅲ 1
 
6.7%
Other Number
ValueCountFrequency (%)
① 3
42.9%
② 3
42.9%
③ 1
 
14.3%
Space Separator
ValueCountFrequency (%)
38208
> 99.9%
　 1
 
< 0.1%
Connector Punctuation
ValueCountFrequency (%)
_ 71
100.0%
Modifier Symbol
ValueCountFrequency (%)
` 57
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 149138
75.1%
Common 44939
 
22.6%
Latin 4334
 
2.2%
Han 256
 
0.1%
Greek 1
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
기 3213
 
2.2%
관 3018
 
2.0%
서 2756
 
1.8%
체 2264
 
1.5%
험 2145
 
1.4%
학 1976
 
1.3%
이 1968
 
1.3%
의 1934
 
1.3%
로 1904
 
1.3%
교 1870
 
1.3%
Other values (1066) 126090
84.5%
Han
ValueCountFrequency (%)
展 29
 
11.3%
樂 12
 
4.7%
愛 10
 
3.9%
美 5
 
2.0%
人 5
 
2.0%
多 5
 
2.0%
行 5
 
2.0%
生 5
 
2.0%
路 5
 
2.0%
夜 4
 
1.6%
Other values (136) 171
66.8%
Latin
ValueCountFrequency (%)
e 277
 
6.4%
o 211
 
4.9%
a 194
 
4.5%
O 174
 
4.0%
n 165
 
3.8%
i 160
 
3.7%
E 155
 
3.6%
D 154
 
3.6%
S 152
 
3.5%
C 141
 
3.3%
Other values (45) 2551
58.9%
Common
ValueCountFrequency (%)
38208
85.0%
1 940
 
2.1%
) 935
 
2.1%
( 932
 
2.1%
2 852
 
1.9%
0 731
 
1.6%
, 646
 
1.4%
9 400
 
0.9%
. 284
 
0.6%
3 174
 
0.4%
Other values (28) 837
 
1.9%
Greek
ValueCountFrequency (%)
π 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 149136
75.1%
ASCII 49228
 
24.8%
CJK 241
 
0.1%
CJK Compat Ideographs 15
 
< 0.1%
Number Forms 15
 
< 0.1%
Math Operators 9
 
< 0.1%
None 8
 
< 0.1%
Enclosed Alphanum 7
 
< 0.1%
Geometric Shapes 3
 
< 0.1%
Misc Symbols 3
 
< 0.1%
Other values (2) 3
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
38208
77.6%
1 940
 
1.9%
) 935
 
1.9%
( 932
 
1.9%
2 852
 
1.7%
0 731
 
1.5%
, 646
 
1.3%
9 400
 
0.8%
. 284
 
0.6%
e 277
 
0.6%
Other values (66) 5023
 
10.2%
Hangul
ValueCountFrequency (%)
기 3213
 
2.2%
관 3018
 
2.0%
서 2756
 
1.8%
체 2264
 
1.5%
험 2145
 
1.4%
학 1976
 
1.3%
이 1968
 
1.3%
의 1934
 
1.3%
로 1904
 
1.3%
교 1870
 
1.3%
Other values (1064) 126088
84.5%
CJK
ValueCountFrequency (%)
展 29
 
12.0%
愛 10
 
4.1%
美 5
 
2.1%
人 5
 
2.1%
多 5
 
2.1%
行 5
 
2.1%
生 5
 
2.1%
路 5
 
2.1%
夜 4
 
1.7%
新 4
 
1.7%
Other values (133) 164
68.0%
CJK Compat Ideographs
ValueCountFrequency (%)
樂 12
80.0%
不 2
 
13.3%
禮 1
 
6.7%
Number Forms
ValueCountFrequency (%)
Ⅱ 10
66.7%
Ⅰ 4
 
26.7%
Ⅲ 1
 
6.7%
Math Operators
ValueCountFrequency (%)
≫ 4
44.4%
≪ 4
44.4%
∼ 1
 
11.1%
Enclosed Alphanum
ValueCountFrequency (%)
① 3
42.9%
② 3
42.9%
③ 1
 
14.3%
Geometric Shapes
ValueCountFrequency (%)
○ 3
100.0%
None
ValueCountFrequency (%)
× 2
25.0%
〉 2
25.0%
〈 2
25.0%
π 1
12.5%
　 1
12.5%
Misc Symbols
ValueCountFrequency (%)
♬ 2
66.7%
♥ 1
33.3%
Compat Jamo
ValueCountFrequency (%)
ㄱ 1
50.0%
ㄲ 1
50.0%
Box Drawing
ValueCountFrequency (%)
─ 1
100.0%

창의적 체험활동 장소
Text

Distinct7186
Distinct (%)71.9%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2023-12-12T09:20:31.080280image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length116
Median length73
Mean length10.7386
Min length1

Characters and Unicode

Total characters107386
Distinct characters871
Distinct categories12 ?
Distinct scripts4 ?
Distinct blocks8 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique6143 ?
Unique (%)61.4%

Sample

1st row금정문화회관
2nd row목재문화체험장 목공예체험교실
3rd row성주산자연휴양림
4th row마산시립도서관
5th row항공우주박물관
ValueCountFrequency (%)
및 456
 
2.2%
내 252
 
1.2%
기타 224
 
1.1%
교실 175
 
0.8%
2층 140
 
0.7%
1층 134
 
0.6%
일대 134
 
0.6%
일원 133
 
0.6%
학교 109
 
0.5%
각 83
 
0.4%
Other values (9623) 19227
91.3%
2023-12-12T09:20:31.527428image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
11286
 
10.5%
관 3622
 
3.4%
원 1949
 
1.8%
시 1860
 
1.7%
소 1794
 
1.7%
청 1744
 
1.6%
교 1597
 
1.5%
학 1483
 
1.4%
산 1482
 
1.4%
대 1402
 
1.3%
Other values (861) 79167
73.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 90181
84.0%
Space Separator 11286
 
10.5%
Decimal Number 2482
 
2.3%
Other Punctuation 1065
 
1.0%
Uppercase Letter 851
 
0.8%
Open Punctuation 565
 
0.5%
Close Punctuation 563
 
0.5%
Lowercase Letter 377
 
0.4%
Letter Number 9
 
< 0.1%
Other Number 5
 
< 0.1%
Other values (2) 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
관 3622
 
4.0%
원 1949
 
2.2%
시 1860
 
2.1%
소 1794
 
2.0%
청 1744
 
1.9%
교 1597
 
1.8%
학 1483
 
1.6%
산 1482
 
1.6%
대 1402
 
1.6%
수 1390
 
1.5%
Other values (779) 71858
79.7%
Uppercase Letter
ValueCountFrequency (%)
C 89
 
10.5%
O 80
 
9.4%
M 78
 
9.2%
K 74
 
8.7%
E 64
 
7.5%
S 62
 
7.3%
A 57
 
6.7%
B 48
 
5.6%
T 38
 
4.5%
I 35
 
4.1%
Other values (16) 226
26.6%
Lowercase Letter
ValueCountFrequency (%)
e 57
15.1%
u 47
12.5%
o 41
10.9%
m 40
10.6%
a 23
 
6.1%
t 22
 
5.8%
s 22
 
5.8%
b 14
 
3.7%
l 14
 
3.7%
r 13
 
3.4%
Other values (16) 84
22.3%
Decimal Number
ValueCountFrequency (%)
1 686
27.6%
2 490
19.7%
3 306
12.3%
4 203
 
8.2%
0 190
 
7.7%
5 168
 
6.8%
9 122
 
4.9%
6 121
 
4.9%
8 101
 
4.1%
7 95
 
3.8%
Other Punctuation
ValueCountFrequency (%)
, 927
87.0%
/ 74
 
6.9%
. 60
 
5.6%
* 3
 
0.3%
※ 1
 
0.1%
Other Number
ValueCountFrequency (%)
③ 1
20.0%
④ 1
20.0%
⑤ 1
20.0%
② 1
20.0%
① 1
20.0%
Letter Number
ValueCountFrequency (%)
Ⅱ 5
55.6%
Ⅰ 3
33.3%
Ⅲ 1
 
11.1%
Open Punctuation
ValueCountFrequency (%)
( 564
99.8%
〈 1
 
0.2%
Close Punctuation
ValueCountFrequency (%)
) 562
99.8%
〉 1
 
0.2%
Space Separator
ValueCountFrequency (%)
11286
100.0%
Modifier Symbol
ValueCountFrequency (%)
` 1
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 90175
84.0%
Common 15967
 
14.9%
Latin 1237
 
1.2%
Han 7
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
관 3622
 
4.0%
원 1949
 
2.2%
시 1860
 
2.1%
소 1794
 
2.0%
청 1744
 
1.9%
교 1597
 
1.8%
학 1483
 
1.6%
산 1482
 
1.6%
대 1402
 
1.6%
수 1390
 
1.5%
Other values (774) 71852
79.7%
Latin
ValueCountFrequency (%)
C 89
 
7.2%
O 80
 
6.5%
M 78
 
6.3%
K 74
 
6.0%
E 64
 
5.2%
S 62
 
5.0%
A 57
 
4.6%
e 57
 
4.6%
B 48
 
3.9%
u 47
 
3.8%
Other values (45) 581
47.0%
Common
ValueCountFrequency (%)
11286
70.7%
, 927
 
5.8%
1 686
 
4.3%
( 564
 
3.5%
) 562
 
3.5%
2 490
 
3.1%
3 306
 
1.9%
4 203
 
1.3%
0 190
 
1.2%
5 168
 
1.1%
Other values (16) 585
 
3.7%
Han
ValueCountFrequency (%)
內 2
28.6%
愛 1
14.3%
多 1
14.3%
舊 1
14.3%
茶 1
14.3%
稅 1
14.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 90171
84.0%
ASCII 17186
 
16.0%
Number Forms 9
 
< 0.1%
CJK 7
 
< 0.1%
Enclosed Alphanum 5
 
< 0.1%
None 4
 
< 0.1%
Compat Jamo 3
 
< 0.1%
Punctuation 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
11286
65.7%
, 927
 
5.4%
1 686
 
4.0%
( 564
 
3.3%
) 562
 
3.3%
2 490
 
2.9%
3 306
 
1.8%
4 203
 
1.2%
0 190
 
1.1%
5 168
 
1.0%
Other values (59) 1804
 
10.5%
Hangul
ValueCountFrequency (%)
관 3622
 
4.0%
원 1949
 
2.2%
시 1860
 
2.1%
소 1794
 
2.0%
청 1744
 
1.9%
교 1597
 
1.8%
학 1483
 
1.6%
산 1482
 
1.6%
대 1402
 
1.6%
수 1390
 
1.5%
Other values (770) 71848
79.7%
Number Forms
ValueCountFrequency (%)
Ⅱ 5
55.6%
Ⅰ 3
33.3%
Ⅲ 1
 
11.1%
CJK
ValueCountFrequency (%)
內 2
28.6%
愛 1
14.3%
多 1
14.3%
舊 1
14.3%
茶 1
14.3%
稅 1
14.3%
None
ValueCountFrequency (%)
〉 1
25.0%
〈 1
25.0%
ｍ 1
25.0%
㈜ 1
25.0%
Enclosed Alphanum
ValueCountFrequency (%)
③ 1
20.0%
④ 1
20.0%
⑤ 1
20.0%
② 1
20.0%
① 1
20.0%
Compat Jamo
ValueCountFrequency (%)
ㅈ 1
33.3%
ㅜ 1
33.3%
ㄴ 1
33.3%
Punctuation
ValueCountFrequency (%)
※ 1
100.0%

주소
Text

Distinct6308
Distinct (%)63.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2023-12-12T09:20:31.825031image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length81
Median length52
Mean length19.7084
Min length2

Characters and Unicode

Total characters197084
Distinct characters615
Distinct categories12 ?
Distinct scripts3 ?
Distinct blocks5 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique4936 ?
Unique (%)49.4%

Sample

1st row부산광역시 금정구 체육공원로 7
2nd row충청남도 청양군 대치면 칠갑산로 668-103
3rd row충남 보령시 성주면화장골길
4th row경남 마산시 회원동167-1번지
5th row경기도 고양시 덕양구 항공대학로 76
ValueCountFrequency (%)
서울 1419
 
3.2%
서울특별시 843
 
1.9%
경기도 766
 
1.7%
충남 544
 
1.2%
경북 538
 
1.2%
중구 461
 
1.1%
부산 449
 
1.0%
경기 409
 
0.9%
경남 399
 
0.9%
서울시 373
 
0.8%
Other values (9534) 37697
85.9%
2023-12-12T09:20:32.371706image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
33936
 
17.2%
1 7224
 
3.7%
구 6738
 
3.4%
시 5801
 
2.9%
동 5342
 
2.7%
로 4903
 
2.5%
2 4825
 
2.4%
서 4384
 
2.2%
3 3768
 
1.9%
산 3466
 
1.8%
Other values (605) 116697
59.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 124961
63.4%
Space Separator 33950
 
17.2%
Decimal Number 33339
 
16.9%
Dash Punctuation 2923
 
1.5%
Open Punctuation 634
 
0.3%
Close Punctuation 631
 
0.3%
Other Punctuation 371
 
0.2%
Uppercase Letter 206
 
0.1%
Lowercase Letter 43
 
< 0.1%
Math Symbol 23
 
< 0.1%
Other values (2) 3
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 6738
 
5.4%
시 5801
 
4.6%
동 5342
 
4.3%
로 4903
 
3.9%
서 4384
 
3.5%
산 3466
 
2.8%
울 3235
 
2.6%
경 2688
 
2.2%
남 2634
 
2.1%
대 2573
 
2.1%
Other values (546) 83197
66.6%
Uppercase Letter
ValueCountFrequency (%)
A 31
15.0%
C 29
14.1%
B 23
11.2%
F 19
9.2%
M 15
 
7.3%
S 12
 
5.8%
E 10
 
4.9%
Y 10
 
4.9%
K 9
 
4.4%
P 8
 
3.9%
Other values (12) 40
19.4%
Lowercase Letter
ValueCountFrequency (%)
e 8
18.6%
u 7
16.3%
m 5
11.6%
s 5
11.6%
f 4
9.3%
i 3
 
7.0%
c 2
 
4.7%
w 2
 
4.7%
q 1
 
2.3%
t 1
 
2.3%
Other values (5) 5
11.6%
Decimal Number
ValueCountFrequency (%)
1 7224
21.7%
2 4825
14.5%
3 3768
11.3%
4 3069
9.2%
5 2956
8.9%
0 2583
 
7.7%
6 2537
 
7.6%
7 2388
 
7.2%
9 2024
 
6.1%
8 1965
 
5.9%
Other Punctuation
ValueCountFrequency (%)
, 280
75.5%
. 81
 
21.8%
/ 10
 
2.7%
Space Separator
ValueCountFrequency (%)
33936
> 99.9%
　 14
 
< 0.1%
Letter Number
ValueCountFrequency (%)
Ⅱ 1
50.0%
Ⅰ 1
50.0%
Dash Punctuation
ValueCountFrequency (%)
- 2923
100.0%
Open Punctuation
ValueCountFrequency (%)
( 634
100.0%
Close Punctuation
ValueCountFrequency (%)
) 631
100.0%
Math Symbol
ValueCountFrequency (%)
∼ 23
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 124961
63.4%
Common 71872
36.5%
Latin 251
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 6738
 
5.4%
시 5801
 
4.6%
동 5342
 
4.3%
로 4903
 
3.9%
서 4384
 
3.5%
산 3466
 
2.8%
울 3235
 
2.6%
경 2688
 
2.2%
남 2634
 
2.1%
대 2573
 
2.1%
Other values (546) 83197
66.6%
Latin
ValueCountFrequency (%)
A 31
 
12.4%
C 29
 
11.6%
B 23
 
9.2%
F 19
 
7.6%
M 15
 
6.0%
S 12
 
4.8%
E 10
 
4.0%
Y 10
 
4.0%
K 9
 
3.6%
P 8
 
3.2%
Other values (29) 85
33.9%
Common
ValueCountFrequency (%)
33936
47.2%
1 7224
 
10.1%
2 4825
 
6.7%
3 3768
 
5.2%
4 3069
 
4.3%
5 2956
 
4.1%
- 2923
 
4.1%
0 2583
 
3.6%
6 2537
 
3.5%
7 2388
 
3.3%
Other values (10) 5663
 
7.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 124961
63.4%
ASCII 72084
36.6%
Math Operators 23
 
< 0.1%
None 14
 
< 0.1%
Number Forms 2
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
33936
47.1%
1 7224
 
10.0%
2 4825
 
6.7%
3 3768
 
5.2%
4 3069
 
4.3%
5 2956
 
4.1%
- 2923
 
4.1%
0 2583
 
3.6%
6 2537
 
3.5%
7 2388
 
3.3%
Other values (45) 5875
 
8.2%
Hangul
ValueCountFrequency (%)
구 6738
 
5.4%
시 5801
 
4.6%
동 5342
 
4.3%
로 4903
 
3.9%
서 4384
 
3.5%
산 3466
 
2.8%
울 3235
 
2.6%
경 2688
 
2.2%
남 2634
 
2.1%
대 2573
 
2.1%
Other values (546) 83197
66.6%
Math Operators
ValueCountFrequency (%)
∼ 23
100.0%
None
ValueCountFrequency (%)
　 14
100.0%
Number Forms
ValueCountFrequency (%)
Ⅱ 1
50.0%
Ⅰ 1
50.0%

Interactions

2023-12-12T09:20:27.740994image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Missing values

2023-12-12T09:20:27.844357image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T09:20:27.956760image/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.
2023-12-12T09:20:28.054937image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

Sample

구분모집시작모집마감체험 대상창의적 체험활동 제목창의적 체험활동 장소주소
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574657472018-11-012020-12-31유치원,초등학교충남 목공예체험프로그램목재문화체험장 목공예체험교실충청남도 청양군 대치면 칠갑산로 668-103
1739017391<NA><NA>중학교,고등학교,초등학교자연 휴양림에서 캠프 활동하기성주산자연휴양림충남 보령시 성주면화장골길
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구분모집시작모집마감체험 대상창의적 체험활동 제목창의적 체험활동 장소주소
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1141611417<NA><NA>고등학교경제탐험JA 코리아서울시 영등포구 여의나루 53-1