Overview

Dataset statistics

Number of variables25
Number of observations2033
Missing cells20330
Missing cells (%)40.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory421.0 KiB
Average record size in memory212.1 B

Variable types

Text7
DateTime3
Unsupported10
Categorical3
Numeric2

Alerts

데이터기준일자 has constant value ""Constant
교육시작시각 has 2033 (100.0%) missing valuesMissing
교육종료시각 has 2033 (100.0%) missing valuesMissing
운영요일 has 2033 (100.0%) missing valuesMissing
접수시작일자 has 2033 (100.0%) missing valuesMissing
접수종료일자 has 2033 (100.0%) missing valuesMissing
선정방법구분 has 2033 (100.0%) missing valuesMissing
홈페이지주소 has 2033 (100.0%) missing valuesMissing
직업능력개발훈련비지원강좌여부 has 2033 (100.0%) missing valuesMissing
학점은행제평가(학점)인정여부 has 2033 (100.0%) missing valuesMissing
평생학습계좌제평가인정여부 has 2033 (100.0%) missing valuesMissing
강좌정원수 is highly skewed (γ1 = 21.00419297)Skewed
교육시작시각 is an unsupported type, check if it needs cleaning or further analysisUnsupported
교육종료시각 is an unsupported type, check if it needs cleaning or further analysisUnsupported
운영요일 is an unsupported type, check if it needs cleaning or further analysisUnsupported
접수시작일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
접수종료일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
선정방법구분 is an unsupported type, check if it needs cleaning or further analysisUnsupported
홈페이지주소 is an unsupported type, check if it needs cleaning or further analysisUnsupported
직업능력개발훈련비지원강좌여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
학점은행제평가(학점)인정여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
평생학습계좌제평가인정여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
수강료 has 680 (33.4%) zerosZeros

Reproduction

Analysis started2024-03-16 03:50:11.696780
Analysis finished2024-03-16 03:50:15.953967
Duration4.26 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

강좌명
Text

Distinct1943
Distinct (%)95.6%
Missing0
Missing (%)0.0%
Memory size16.0 KiB
2024-03-16T03:50:16.591936image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length100
Median length60
Mean length25.786522
Min length2

Characters and Unicode

Total characters52424
Distinct characters851
Distinct categories15 ?
Distinct scripts4 ?
Distinct blocks9 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1903 ?
Unique (%)93.6%

Sample

1st row성폭력 전문상담원 양성과정
2nd row인지활동 전문가 양성
3rd row자이언트얀 작품 만들기
4th row예술 놀이로 내 아이의 잠재력 키우기
5th row나만의 홈가드닝 시작하기
ValueCountFrequency (%)
252
 
2.8%
2급 78
 
0.9%
학점은행제 71
 
0.8%
자격증 69
 
0.8%
위한 64
 
0.7%
및 59
 
0.6%
배우는 55
 
0.6%
시민제안강좌 50
 
0.5%
학습카페 49
 
0.5%
전산회계 44
 
0.5%
Other values (4037) 8318
91.3%
2024-03-16T03:50:17.952265image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
7197
 
13.7%
) 1660
 
3.2%
( 1659
 
3.2%
[ 1013
 
1.9%
] 1012
 
1.9%
0 998
 
1.9%
1 992
 
1.9%
2 600
 
1.1%
정 553
 
1.1%
기 538
 
1.0%
Other values (841) 36202
69.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 32696
62.4%
Space Separator 7197
 
13.7%
Decimal Number 3943
 
7.5%
Close Punctuation 2677
 
5.1%
Open Punctuation 2676
 
5.1%
Other Punctuation 1612
 
3.1%
Uppercase Letter 657
 
1.3%
Lowercase Letter 408
 
0.8%
Dash Punctuation 219
 
0.4%
Math Symbol 117
 
0.2%
Other values (5) 222
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
정 553
 
1.7%
기 538
 
1.6%
리 527
 
1.6%
이 525
 
1.6%
스 521
 
1.6%
수 509
 
1.6%
인 458
 
1.4%
아 457
 
1.4%
트 455
 
1.4%
사 412
 
1.3%
Other values (739) 27741
84.8%
Uppercase Letter
ValueCountFrequency (%)
S 91
13.9%
P 77
11.7%
A 52
 
7.9%
N 45
 
6.8%
I 45
 
6.8%
D 43
 
6.5%
T 41
 
6.2%
E 36
 
5.5%
M 35
 
5.3%
L 29
 
4.4%
Other values (15) 163
24.8%
Lowercase Letter
ValueCountFrequency (%)
a 76
18.6%
t 66
16.2%
r 44
10.8%
e 36
8.8%
s 22
 
5.4%
h 20
 
4.9%
o 20
 
4.9%
m 19
 
4.7%
l 17
 
4.2%
i 17
 
4.2%
Other values (14) 71
17.4%
Other Punctuation
ValueCountFrequency (%)
: 486
30.1%
/ 382
23.7%
! 232
14.4%
, 186
 
11.5%
. 160
 
9.9%
& 97
 
6.0%
" 38
 
2.4%
· 13
 
0.8%
# 6
 
0.4%
% 5
 
0.3%
Other values (5) 7
 
0.4%
Decimal Number
ValueCountFrequency (%)
0 998
25.3%
1 992
25.2%
2 600
15.2%
3 349
 
8.9%
8 255
 
6.5%
4 190
 
4.8%
6 173
 
4.4%
7 137
 
3.5%
5 130
 
3.3%
9 119
 
3.0%
Close Punctuation
ValueCountFrequency (%)
) 1660
62.0%
] 1012
37.8%
〕 2
 
0.1%
」 2
 
0.1%
】 1
 
< 0.1%
Open Punctuation
ValueCountFrequency (%)
( 1659
62.0%
[ 1013
37.9%
「 2
 
0.1%
【 1
 
< 0.1%
〔 1
 
< 0.1%
Letter Number
ValueCountFrequency (%)
Ⅰ 25
49.0%
Ⅱ 15
29.4%
Ⅳ 6
 
11.8%
Ⅷ 3
 
5.9%
Ⅲ 2
 
3.9%
Math Symbol
ValueCountFrequency (%)
~ 47
40.2%
+ 26
22.2%
< 22
18.8%
> 22
18.8%
Other Symbol
ValueCountFrequency (%)
♬ 21
60.0%
★ 14
40.0%
Final Punctuation
ValueCountFrequency (%)
’ 15
93.8%
” 1
 
6.2%
Initial Punctuation
ValueCountFrequency (%)
‘ 6
85.7%
“ 1
 
14.3%
Space Separator
ValueCountFrequency (%)
7197
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 219
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 113
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 32679
62.3%
Common 18612
35.5%
Latin 1116
 
2.1%
Han 17
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
정 553
 
1.7%
기 538
 
1.6%
리 527
 
1.6%
이 525
 
1.6%
스 521
 
1.6%
수 509
 
1.6%
인 458
 
1.4%
아 457
 
1.4%
트 455
 
1.4%
사 412
 
1.3%
Other values (729) 27724
84.8%
Latin
ValueCountFrequency (%)
S 91
 
8.2%
P 77
 
6.9%
a 76
 
6.8%
t 66
 
5.9%
A 52
 
4.7%
N 45
 
4.0%
I 45
 
4.0%
r 44
 
3.9%
D 43
 
3.9%
T 41
 
3.7%
Other values (44) 536
48.0%
Common
ValueCountFrequency (%)
7197
38.7%
) 1660
 
8.9%
( 1659
 
8.9%
[ 1013
 
5.4%
] 1012
 
5.4%
0 998
 
5.4%
1 992
 
5.3%
2 600
 
3.2%
: 486
 
2.6%
/ 382
 
2.1%
Other values (38) 2613
 
14.0%
Han
ValueCountFrequency (%)
茶 3
17.6%
茶 2
11.8%
詩 2
11.8%
冥 2
11.8%
想 2
11.8%
道 2
11.8%
通 1
 
5.9%
熏 1
 
5.9%
行 1
 
5.9%
五 1
 
5.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 32677
62.3%
ASCII 19592
37.4%
Number Forms 51
 
0.1%
Misc Symbols 35
 
0.1%
Punctuation 25
 
< 0.1%
None 25
 
< 0.1%
CJK 15
 
< 0.1%
CJK Compat Ideographs 2
 
< 0.1%
Compat Jamo 2
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
7197
36.7%
) 1660
 
8.5%
( 1659
 
8.5%
[ 1013
 
5.2%
] 1012
 
5.2%
0 998
 
5.1%
1 992
 
5.1%
2 600
 
3.1%
: 486
 
2.5%
/ 382
 
1.9%
Other values (71) 3593
18.3%
Hangul
ValueCountFrequency (%)
정 553
 
1.7%
기 538
 
1.6%
리 527
 
1.6%
이 525
 
1.6%
스 521
 
1.6%
수 509
 
1.6%
인 458
 
1.4%
아 457
 
1.4%
트 455
 
1.4%
사 412
 
1.3%
Other values (728) 27722
84.8%
Number Forms
ValueCountFrequency (%)
Ⅰ 25
49.0%
Ⅱ 15
29.4%
Ⅳ 6
 
11.8%
Ⅷ 3
 
5.9%
Ⅲ 2
 
3.9%
Misc Symbols
ValueCountFrequency (%)
♬ 21
60.0%
★ 14
40.0%
Punctuation
ValueCountFrequency (%)
’ 15
60.0%
‘ 6
 
24.0%
′ 2
 
8.0%
“ 1
 
4.0%
” 1
 
4.0%
None
ValueCountFrequency (%)
· 13
52.0%
〕 2
 
8.0%
＂ 2
 
8.0%
「 2
 
8.0%
」 2
 
8.0%
【 1
 
4.0%
】 1
 
4.0%
〔 1
 
4.0%
＆ 1
 
4.0%
CJK
ValueCountFrequency (%)
茶 3
20.0%
詩 2
13.3%
冥 2
13.3%
想 2
13.3%
道 2
13.3%
通 1
 
6.7%
熏 1
 
6.7%
行 1
 
6.7%
五 1
 
6.7%
CJK Compat Ideographs
ValueCountFrequency (%)
茶 2
100.0%
Compat Jamo
ValueCountFrequency (%)
ㆍ 2
100.0%

강사명
Text

Distinct194
Distinct (%)9.5%
Missing0
Missing (%)0.0%
Memory size16.0 KiB
2024-03-16T03:50:18.587717image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length23
Median length17
Mean length8.8111166
Min length2

Characters and Unicode

Total characters17913
Distinct characters224
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique105 ?
Unique (%)5.2%

Sample

1st row우성진
2nd row임일숙
3rd row대구온라인클래스
4th row대구온라인클래스
5th row대구온라인클래스
ValueCountFrequency (%)
아트센터달 316
13.4%
대구온라인클래스 309
13.1%
계명대학교 205
 
8.7%
계명시민교육원 205
 
8.7%
칠금평생교육원 129
 
5.5%
동아쇼핑문화센터 121
 
5.1%
대구시행복진흥사회서비스원 113
 
4.8%
대구평생교육진흥원 113
 
4.8%
재)달서문화재단달서아트센터 74
 
3.1%
대구평생교육원 68
 
2.9%
Other values (192) 708
30.0%
2024-03-16T03:50:19.668461image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
교 984
 
5.5%
대 956
 
5.3%
원 877
 
4.9%
구 746
 
4.2%
육 691
 
3.9%
아 554
 
3.1%
평 552
 
3.1%
터 552
 
3.1%
센 550
 
3.1%
생 508
 
2.8%
Other values (214) 10943
61.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 17332
96.8%
Space Separator 328
 
1.8%
Open Punctuation 103
 
0.6%
Close Punctuation 103
 
0.6%
Uppercase Letter 34
 
0.2%
Math Symbol 10
 
0.1%
Lowercase Letter 3
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
교 984
 
5.7%
대 956
 
5.5%
원 877
 
5.1%
구 746
 
4.3%
육 691
 
4.0%
아 554
 
3.2%
평 552
 
3.2%
터 552
 
3.2%
센 550
 
3.2%
생 508
 
2.9%
Other values (206) 10362
59.8%
Uppercase Letter
ValueCountFrequency (%)
O 28
82.4%
F 3
 
8.8%
C 3
 
8.8%
Space Separator
ValueCountFrequency (%)
328
100.0%
Open Punctuation
ValueCountFrequency (%)
( 103
100.0%
Close Punctuation
ValueCountFrequency (%)
) 103
100.0%
Math Symbol
ValueCountFrequency (%)
+ 10
100.0%
Lowercase Letter
ValueCountFrequency (%)
n 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 17332
96.8%
Common 544
 
3.0%
Latin 37
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
교 984
 
5.7%
대 956
 
5.5%
원 877
 
5.1%
구 746
 
4.3%
육 691
 
4.0%
아 554
 
3.2%
평 552
 
3.2%
터 552
 
3.2%
센 550
 
3.2%
생 508
 
2.9%
Other values (206) 10362
59.8%
Common
ValueCountFrequency (%)
328
60.3%
( 103
 
18.9%
) 103
 
18.9%
+ 10
 
1.8%
Latin
ValueCountFrequency (%)
O 28
75.7%
F 3
 
8.1%
n 3
 
8.1%
C 3
 
8.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 17332
96.8%
ASCII 581
 
3.2%

Most frequent character per block

Hangul
ValueCountFrequency (%)
교 984
 
5.7%
대 956
 
5.5%
원 877
 
5.1%
구 746
 
4.3%
육 691
 
4.0%
아 554
 
3.2%
평 552
 
3.2%
터 552
 
3.2%
센 550
 
3.2%
생 508
 
2.9%
Other values (206) 10362
59.8%
ASCII
ValueCountFrequency (%)
328
56.5%
( 103
 
17.7%
) 103
 
17.7%
O 28
 
4.8%
+ 10
 
1.7%
F 3
 
0.5%
n 3
 
0.5%
C 3
 
0.5%

교육시작일자
Date

Distinct314
Distinct (%)15.4%
Missing0
Missing (%)0.0%
Memory size16.0 KiB
Minimum2023-01-01 00:00:00
Maximum2024-05-08 00:00:00
2024-03-16T03:50:20.095145image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-16T03:50:20.597163image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

교육종료일자
Date

Distinct314
Distinct (%)15.4%
Missing0
Missing (%)0.0%
Memory size16.0 KiB
Minimum2023-01-12 00:00:00
Maximum2025-03-03 00:00:00
2024-03-16T03:50:20.985956image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-16T03:50:21.436407image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

교육시작시각
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2033
Missing (%)100.0%
Memory size18.0 KiB

교육종료시각
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2033
Missing (%)100.0%
Memory size18.0 KiB

강좌내용
Text

Distinct1943
Distinct (%)95.6%
Missing0
Missing (%)0.0%
Memory size16.0 KiB
2024-03-16T03:50:22.056142image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length103
Median length63
Mean length28.786522
Min length5

Characters and Unicode

Total characters58523
Distinct characters851
Distinct categories15 ?
Distinct scripts4 ?
Distinct blocks9 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1903 ?
Unique (%)93.6%

Sample

1st row성폭력 전문상담원 양성과정 강좌
2nd row인지활동 전문가 양성 강좌
3rd row자이언트얀 작품 만들기 강좌
4th row예술 놀이로 내 아이의 잠재력 키우기 강좌
5th row나만의 홈가드닝 시작하기 강좌
ValueCountFrequency (%)
강좌 2033
 
18.2%
252
 
2.3%
2급 78
 
0.7%
학점은행제 71
 
0.6%
자격증 69
 
0.6%
위한 64
 
0.6%
및 59
 
0.5%
배우는 55
 
0.5%
시민제안강좌 50
 
0.4%
학습카페 49
 
0.4%
Other values (4038) 8362
75.0%
2024-03-16T03:50:23.209760image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
9230
 
15.8%
강 2290
 
3.9%
좌 2139
 
3.7%
) 1660
 
2.8%
( 1659
 
2.8%
[ 1013
 
1.7%
] 1012
 
1.7%
0 998
 
1.7%
1 992
 
1.7%
2 600
 
1.0%
Other values (841) 36930
63.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 36762
62.8%
Space Separator 9230
 
15.8%
Decimal Number 3943
 
6.7%
Close Punctuation 2677
 
4.6%
Open Punctuation 2676
 
4.6%
Other Punctuation 1612
 
2.8%
Uppercase Letter 657
 
1.1%
Lowercase Letter 408
 
0.7%
Dash Punctuation 219
 
0.4%
Math Symbol 117
 
0.2%
Other values (5) 222
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
강 2290
 
6.2%
좌 2139
 
5.8%
정 553
 
1.5%
기 538
 
1.5%
리 527
 
1.4%
이 525
 
1.4%
스 521
 
1.4%
수 509
 
1.4%
인 458
 
1.2%
아 457
 
1.2%
Other values (739) 28245
76.8%
Uppercase Letter
ValueCountFrequency (%)
S 91
13.9%
P 77
11.7%
A 52
 
7.9%
N 45
 
6.8%
I 45
 
6.8%
D 43
 
6.5%
T 41
 
6.2%
E 36
 
5.5%
M 35
 
5.3%
L 29
 
4.4%
Other values (15) 163
24.8%
Lowercase Letter
ValueCountFrequency (%)
a 76
18.6%
t 66
16.2%
r 44
10.8%
e 36
8.8%
s 22
 
5.4%
h 20
 
4.9%
o 20
 
4.9%
m 19
 
4.7%
l 17
 
4.2%
i 17
 
4.2%
Other values (14) 71
17.4%
Other Punctuation
ValueCountFrequency (%)
: 486
30.1%
/ 382
23.7%
! 232
14.4%
, 186
 
11.5%
. 160
 
9.9%
& 97
 
6.0%
" 38
 
2.4%
· 13
 
0.8%
# 6
 
0.4%
% 5
 
0.3%
Other values (5) 7
 
0.4%
Decimal Number
ValueCountFrequency (%)
0 998
25.3%
1 992
25.2%
2 600
15.2%
3 349
 
8.9%
8 255
 
6.5%
4 190
 
4.8%
6 173
 
4.4%
7 137
 
3.5%
5 130
 
3.3%
9 119
 
3.0%
Close Punctuation
ValueCountFrequency (%)
) 1660
62.0%
] 1012
37.8%
」 2
 
0.1%
〕 2
 
0.1%
】 1
 
< 0.1%
Open Punctuation
ValueCountFrequency (%)
( 1659
62.0%
[ 1013
37.9%
「 2
 
0.1%
〔 1
 
< 0.1%
【 1
 
< 0.1%
Letter Number
ValueCountFrequency (%)
Ⅰ 25
49.0%
Ⅱ 15
29.4%
Ⅳ 6
 
11.8%
Ⅷ 3
 
5.9%
Ⅲ 2
 
3.9%
Math Symbol
ValueCountFrequency (%)
~ 47
40.2%
+ 26
22.2%
< 22
18.8%
> 22
18.8%
Other Symbol
ValueCountFrequency (%)
♬ 21
60.0%
★ 14
40.0%
Final Punctuation
ValueCountFrequency (%)
’ 15
93.8%
” 1
 
6.2%
Initial Punctuation
ValueCountFrequency (%)
‘ 6
85.7%
“ 1
 
14.3%
Space Separator
ValueCountFrequency (%)
9230
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 219
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 113
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 36745
62.8%
Common 20645
35.3%
Latin 1116
 
1.9%
Han 17
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
강 2290
 
6.2%
좌 2139
 
5.8%
정 553
 
1.5%
기 538
 
1.5%
리 527
 
1.4%
이 525
 
1.4%
스 521
 
1.4%
수 509
 
1.4%
인 458
 
1.2%
아 457
 
1.2%
Other values (729) 28228
76.8%
Latin
ValueCountFrequency (%)
S 91
 
8.2%
P 77
 
6.9%
a 76
 
6.8%
t 66
 
5.9%
A 52
 
4.7%
N 45
 
4.0%
I 45
 
4.0%
r 44
 
3.9%
D 43
 
3.9%
T 41
 
3.7%
Other values (44) 536
48.0%
Common
ValueCountFrequency (%)
9230
44.7%
) 1660
 
8.0%
( 1659
 
8.0%
[ 1013
 
4.9%
] 1012
 
4.9%
0 998
 
4.8%
1 992
 
4.8%
2 600
 
2.9%
: 486
 
2.4%
/ 382
 
1.9%
Other values (38) 2613
 
12.7%
Han
ValueCountFrequency (%)
茶 3
17.6%
詩 2
11.8%
想 2
11.8%
道 2
11.8%
冥 2
11.8%
茶 2
11.8%
通 1
 
5.9%
行 1
 
5.9%
五 1
 
5.9%
熏 1
 
5.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 36743
62.8%
ASCII 21625
37.0%
Number Forms 51
 
0.1%
Misc Symbols 35
 
0.1%
Punctuation 25
 
< 0.1%
None 25
 
< 0.1%
CJK 15
 
< 0.1%
Compat Jamo 2
 
< 0.1%
CJK Compat Ideographs 2
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
9230
42.7%
) 1660
 
7.7%
( 1659
 
7.7%
[ 1013
 
4.7%
] 1012
 
4.7%
0 998
 
4.6%
1 992
 
4.6%
2 600
 
2.8%
: 486
 
2.2%
/ 382
 
1.8%
Other values (71) 3593
 
16.6%
Hangul
ValueCountFrequency (%)
강 2290
 
6.2%
좌 2139
 
5.8%
정 553
 
1.5%
기 538
 
1.5%
리 527
 
1.4%
이 525
 
1.4%
스 521
 
1.4%
수 509
 
1.4%
인 458
 
1.2%
아 457
 
1.2%
Other values (728) 28226
76.8%
Number Forms
ValueCountFrequency (%)
Ⅰ 25
49.0%
Ⅱ 15
29.4%
Ⅳ 6
 
11.8%
Ⅷ 3
 
5.9%
Ⅲ 2
 
3.9%
Misc Symbols
ValueCountFrequency (%)
♬ 21
60.0%
★ 14
40.0%
Punctuation
ValueCountFrequency (%)
’ 15
60.0%
‘ 6
 
24.0%
′ 2
 
8.0%
“ 1
 
4.0%
” 1
 
4.0%
None
ValueCountFrequency (%)
· 13
52.0%
＂ 2
 
8.0%
」 2
 
8.0%
「 2
 
8.0%
〕 2
 
8.0%
〔 1
 
4.0%
【 1
 
4.0%
】 1
 
4.0%
＆ 1
 
4.0%
CJK
ValueCountFrequency (%)
茶 3
20.0%
詩 2
13.3%
想 2
13.3%
道 2
13.3%
冥 2
13.3%
通 1
 
6.7%
行 1
 
6.7%
五 1
 
6.7%
熏 1
 
6.7%
Compat Jamo
ValueCountFrequency (%)
ㆍ 2
100.0%
CJK Compat Ideographs
ValueCountFrequency (%)
茶 2
100.0%

교육대상구분
Categorical

Distinct49
Distinct (%)2.4%
Missing0
Missing (%)0.0%
Memory size16.0 KiB
청년/직장인+성인
384 
청년/직장인+성인+어르신
355 
유아+초등+청소년+청년/직장인+성인+어르신+장애인+외국인+기타
344 
청년/직장인+성인+어르신+장애인+외국인+기타
249 
성인
176 
Other values (44)
525 

Length

Max length34
Median length30
Mean length16.53271
Min length2

Unique

Unique16 ?
Unique (%)0.8%

Sample

1st row청년/직장인+성인
2nd row성인
3rd row유아+초등+청소년+청년/직장인+성인+어르신+장애인+외국인+기타
4th row유아+초등+청소년+청년/직장인+성인+어르신+장애인+외국인+기타
5th row유아+초등+청소년+청년/직장인+성인+어르신+장애인+외국인+기타

Common Values

ValueCountFrequency (%)
청년/직장인+성인 384
18.9%
청년/직장인+성인+어르신 355
17.5%
유아+초등+청소년+청년/직장인+성인+어르신+장애인+외국인+기타 344
16.9%
청년/직장인+성인+어르신+장애인+외국인+기타 249
12.2%
성인 176
8.7%
청소년+청년/직장인+성인+어르신 74
 
3.6%
성인+어르신 57
 
2.8%
청소년+청년/직장인+성인+어르신+장애인+외국인+기타 49
 
2.4%
초등 47
 
2.3%
청소년+청년/직장인+성인+어르신+장애인+외국인 43
 
2.1%
Other values (39) 255
12.5%

Length

2024-03-16T03:50:23.631464image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
청년/직장인+성인 384
18.9%
청년/직장인+성인+어르신 355
17.5%
유아+초등+청소년+청년/직장인+성인+어르신+장애인+외국인+기타 344
16.9%
청년/직장인+성인+어르신+장애인+외국인+기타 249
12.2%
성인 176
8.7%
청소년+청년/직장인+성인+어르신 74
 
3.6%
성인+어르신 57
 
2.8%
청소년+청년/직장인+성인+어르신+장애인+외국인+기타 49
 
2.4%
초등 47
 
2.3%
청소년+청년/직장인+성인+어르신+장애인+외국인 43
 
2.1%
Other values (39) 255
12.5%

교육방법구분
Categorical

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size16.0 KiB
혼합
1701 
온라인
332 

Length

Max length3
Median length2
Mean length2.1633055
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row혼합
2nd row혼합
3rd row온라인
4th row온라인
5th row온라인

Common Values

ValueCountFrequency (%)
혼합 1701
83.7%
온라인 332
 
16.3%

Length

2024-03-16T03:50:24.106106image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-16T03:50:24.510060image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
혼합 1701
83.7%
온라인 332
 
16.3%

운영요일
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2033
Missing (%)100.0%
Memory size18.0 KiB

교육장소
Text

Distinct185
Distinct (%)9.1%
Missing0
Missing (%)0.0%
Memory size16.0 KiB
2024-03-16T03:50:25.008672image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length27
Median length25
Mean length8.0516478
Min length2

Characters and Unicode

Total characters16369
Distinct characters263
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

Unique96 ?
Unique (%)4.7%

Sample

1st row대구과학대학교 평생교육원
2nd row가람직업전문학교 제1강의실
3rd row대구평생학습플랫폼
4th row대구평생학습플랫폼
5th row대구평생학습플랫폼
ValueCountFrequency (%)
아트센터달 469
17.3%
온라인 301
 
11.1%
비사관 132
 
4.9%
대명캠퍼스(후문 129
 
4.8%
동아쇼핑문화센터 121
 
4.5%
대구지식발전소 105
 
3.9%
칠금평생교육원 101
 
3.7%
대구평생교육원 100
 
3.7%
강의실 89
 
3.3%
계명대학교 74
 
2.7%
Other values (205) 1091
40.2%
2024-03-16T03:50:26.103682image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
729
 
4.5%
대 686
 
4.2%
터 652
 
4.0%
센 648
 
4.0%
아 642
 
3.9%
교 639
 
3.9%
평 549
 
3.4%
원 538
 
3.3%
트 530
 
3.2%
달 495
 
3.0%
Other values (253) 10261
62.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 15074
92.1%
Space Separator 729
 
4.5%
Decimal Number 214
 
1.3%
Open Punctuation 153
 
0.9%
Close Punctuation 153
 
0.9%
Uppercase Letter 36
 
0.2%
Dash Punctuation 6
 
< 0.1%
Lowercase Letter 3
 
< 0.1%
Other Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
대 686
 
4.6%
터 652
 
4.3%
센 648
 
4.3%
아 642
 
4.3%
교 639
 
4.2%
평 549
 
3.6%
원 538
 
3.6%
트 530
 
3.5%
달 495
 
3.3%
생 481
 
3.2%
Other values (234) 9214
61.1%
Decimal Number
ValueCountFrequency (%)
2 71
33.2%
1 64
29.9%
3 33
15.4%
4 14
 
6.5%
7 14
 
6.5%
6 8
 
3.7%
5 5
 
2.3%
0 4
 
1.9%
8 1
 
0.5%
Uppercase Letter
ValueCountFrequency (%)
O 29
80.6%
F 3
 
8.3%
C 3
 
8.3%
G 1
 
2.8%
Space Separator
ValueCountFrequency (%)
729
100.0%
Open Punctuation
ValueCountFrequency (%)
( 153
100.0%
Close Punctuation
ValueCountFrequency (%)
) 153
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 6
100.0%
Lowercase Letter
ValueCountFrequency (%)
n 3
100.0%
Other Punctuation
ValueCountFrequency (%)
/ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 15074
92.1%
Common 1256
 
7.7%
Latin 39
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
대 686
 
4.6%
터 652
 
4.3%
센 648
 
4.3%
아 642
 
4.3%
교 639
 
4.2%
평 549
 
3.6%
원 538
 
3.6%
트 530
 
3.5%
달 495
 
3.3%
생 481
 
3.2%
Other values (234) 9214
61.1%
Common
ValueCountFrequency (%)
729
58.0%
( 153
 
12.2%
) 153
 
12.2%
2 71
 
5.7%
1 64
 
5.1%
3 33
 
2.6%
4 14
 
1.1%
7 14
 
1.1%
6 8
 
0.6%
- 6
 
0.5%
Other values (4) 11
 
0.9%
Latin
ValueCountFrequency (%)
O 29
74.4%
F 3
 
7.7%
n 3
 
7.7%
C 3
 
7.7%
G 1
 
2.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 15074
92.1%
ASCII 1295
 
7.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
729
56.3%
( 153
 
11.8%
) 153
 
11.8%
2 71
 
5.5%
1 64
 
4.9%
3 33
 
2.5%
O 29
 
2.2%
4 14
 
1.1%
7 14
 
1.1%
6 8
 
0.6%
Other values (9) 27
 
2.1%
Hangul
ValueCountFrequency (%)
대 686
 
4.6%
터 652
 
4.3%
센 648
 
4.3%
아 642
 
4.3%
교 639
 
4.2%
평 549
 
3.6%
원 538
 
3.6%
트 530
 
3.5%
달 495
 
3.3%
생 481
 
3.2%
Other values (234) 9214
61.1%

강좌정원수
Real number (ℝ)

SKEWED 

Distinct42
Distinct (%)2.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean36.84063
Minimum0
Maximum3000
Zeros1
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size18.0 KiB
2024-03-16T03:50:26.503946image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile5
Q110
median15
Q340
95-th percentile100
Maximum3000
Range3000
Interquartile range (IQR)30

Descriptive statistics

Standard deviation87.558356
Coefficient of variation (CV)2.3766791
Kurtosis658.09889
Mean36.84063
Median Absolute Deviation (MAD)10
Skewness21.004193
Sum74897
Variance7666.4657
MonotonicityNot monotonic
2024-03-16T03:50:26.936119image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=42)
ValueCountFrequency (%)
10 421
20.7%
100 277
13.6%
5 236
11.6%
15 233
11.5%
20 210
10.3%
30 191
9.4%
40 157
 
7.7%
50 45
 
2.2%
3 42
 
2.1%
8 31
 
1.5%
Other values (32) 190
9.3%
ValueCountFrequency (%)
0 1
 
< 0.1%
2 6
 
0.3%
3 42
 
2.1%
4 7
 
0.3%
5 236
11.6%
6 21
 
1.0%
7 6
 
0.3%
8 31
 
1.5%
9 1
 
< 0.1%
10 421
20.7%
ValueCountFrequency (%)
3000 1
 
< 0.1%
1000 1
 
< 0.1%
600 1
 
< 0.1%
500 14
0.7%
300 2
 
0.1%
240 1
 
< 0.1%
200 7
0.3%
190 1
 
< 0.1%
170 1
 
< 0.1%
150 7
0.3%

수강료
Real number (ℝ)

ZEROS 

Distinct121
Distinct (%)6.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean119993.45
Minimum0
Maximum2500000
Zeros680
Zeros (%)33.4%
Negative0
Negative (%)0.0%
Memory size18.0 KiB
2024-03-16T03:50:27.348481image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median100000
Q3150000
95-th percentile400000
Maximum2500000
Range2500000
Interquartile range (IQR)150000

Descriptive statistics

Standard deviation162861.84
Coefficient of variation (CV)1.3572561
Kurtosis43.364006
Mean119993.45
Median Absolute Deviation (MAD)100000
Skewness4.6903091
Sum2.4394669 × 108
Variance2.652398 × 1010
MonotonicityNot monotonic
2024-03-16T03:50:27.977315image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 680
33.4%
120000 257
 
12.6%
150000 144
 
7.1%
240000 78
 
3.8%
100000 71
 
3.5%
90000 70
 
3.4%
135610 56
 
2.8%
300000 51
 
2.5%
200000 49
 
2.4%
250000 39
 
1.9%
Other values (111) 538
26.5%
ValueCountFrequency (%)
0 680
33.4%
2000 7
 
0.3%
5000 18
 
0.9%
10000 18
 
0.9%
15000 4
 
0.2%
20000 9
 
0.4%
25000 19
 
0.9%
28000 1
 
< 0.1%
30000 23
 
1.1%
32000 1
 
< 0.1%
ValueCountFrequency (%)
2500000 1
< 0.1%
2000000 1
< 0.1%
1453500 1
< 0.1%
1421200 1
< 0.1%
1413940 2
0.1%
1191600 2
0.1%
1130500 2
0.1%
1092300 2
0.1%
900000 2
0.1%
887610 1
< 0.1%

교육장도로명주소
Text

Distinct80
Distinct (%)3.9%
Missing0
Missing (%)0.0%
Memory size16.0 KiB
2024-03-16T03:50:28.506066image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length39
Median length25
Mean length18.293163
Min length14

Characters and Unicode

Total characters37190
Distinct characters107
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique33 ?
Unique (%)1.6%

Sample

1st row대구광역시 북구 영송로 47
2nd row대구광역시 수성구 달구벌대로 3072
3rd row대구광역시 북구 연암로 40
4th row대구광역시 북구 연암로 40
5th row대구광역시 북구 연암로 40
ValueCountFrequency (%)
대구광역시 2033
24.0%
수성구 757
 
8.9%
북구 536
 
6.3%
40 475
 
5.6%
연암로 475
 
5.6%
천을로 469
 
5.5%
173 469
 
5.5%
명덕로 317
 
3.7%
남구 314
 
3.7%
104 206
 
2.4%
Other values (142) 2423
28.6%
2024-03-16T03:50:29.518309image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
6441
17.3%
구 4253
 
11.4%
대 2246
 
6.0%
광 2033
 
5.5%
역 2033
 
5.5%
시 2033
 
5.5%
로 1953
 
5.3%
1 1358
 
3.7%
0 1113
 
3.0%
성 885
 
2.4%
Other values (97) 12842
34.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 24013
64.6%
Space Separator 6441
 
17.3%
Decimal Number 5942
 
16.0%
Close Punctuation 332
 
0.9%
Open Punctuation 332
 
0.9%
Other Punctuation 101
 
0.3%
Dash Punctuation 29
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 4253
17.7%
대 2246
 
9.4%
광 2033
 
8.5%
역 2033
 
8.5%
시 2033
 
8.5%
로 1953
 
8.1%
성 885
 
3.7%
수 874
 
3.6%
동 545
 
2.3%
북 543
 
2.3%
Other values (82) 6615
27.5%
Decimal Number
ValueCountFrequency (%)
1 1358
22.9%
0 1113
18.7%
3 797
13.4%
4 722
12.2%
7 703
11.8%
2 373
 
6.3%
9 259
 
4.4%
6 231
 
3.9%
8 205
 
3.5%
5 181
 
3.0%
Space Separator
ValueCountFrequency (%)
6441
100.0%
Close Punctuation
ValueCountFrequency (%)
) 332
100.0%
Open Punctuation
ValueCountFrequency (%)
( 332
100.0%
Other Punctuation
ValueCountFrequency (%)
, 101
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 29
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 24013
64.6%
Common 13177
35.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 4253
17.7%
대 2246
 
9.4%
광 2033
 
8.5%
역 2033
 
8.5%
시 2033
 
8.5%
로 1953
 
8.1%
성 885
 
3.7%
수 874
 
3.6%
동 545
 
2.3%
북 543
 
2.3%
Other values (82) 6615
27.5%
Common
ValueCountFrequency (%)
6441
48.9%
1 1358
 
10.3%
0 1113
 
8.4%
3 797
 
6.0%
4 722
 
5.5%
7 703
 
5.3%
2 373
 
2.8%
) 332
 
2.5%
( 332
 
2.5%
9 259
 
2.0%
Other values (5) 747
 
5.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 24013
64.6%
ASCII 13177
35.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
6441
48.9%
1 1358
 
10.3%
0 1113
 
8.4%
3 797
 
6.0%
4 722
 
5.5%
7 703
 
5.3%
2 373
 
2.8%
) 332
 
2.5%
( 332
 
2.5%
9 259
 
2.0%
Other values (5) 747
 
5.7%
Hangul
ValueCountFrequency (%)
구 4253
17.7%
대 2246
 
9.4%
광 2033
 
8.5%
역 2033
 
8.5%
시 2033
 
8.5%
로 1953
 
8.1%
성 885
 
3.7%
수 874
 
3.6%
동 545
 
2.3%
북 543
 
2.3%
Other values (82) 6615
27.5%

운영기관명
Text

Distinct83
Distinct (%)4.1%
Missing0
Missing (%)0.0%
Memory size16.0 KiB
2024-03-16T03:50:30.060793image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length23
Median length17
Mean length12.213478
Min length2

Characters and Unicode

Total characters24830
Distinct characters189
Distinct categories6 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique33 ?
Unique (%)1.6%

Sample

1st row대구과학대학교부설평생교육원
2nd row가람직업전문학교
3rd row대구시행복진흥사회서비스원 대구평생교육진흥원
4th row대구시행복진흥사회서비스원 대구평생교육진흥원
5th row대구시행복진흥사회서비스원 대구평생교육진흥원
ValueCountFrequency (%)
대구시행복진흥사회서비스원 470
17.3%
대구평생교육진흥원 470
17.3%
아트센터달 469
17.2%
계명대학교 206
7.6%
계명시민교육원 206
7.6%
동아쇼핑문화센터 121
 
4.4%
대구평생교육원 110
 
4.0%
칠금평생교육원 101
 
3.7%
한국산업평가연구원부설평생교육원 76
 
2.8%
재)달서문화재단달서아트센터 74
 
2.7%
Other values (82) 419
15.4%
2024-03-16T03:50:30.942397image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
원 1709
 
6.9%
교 1440
 
5.8%
대 1395
 
5.6%
구 1236
 
5.0%
육 1136
 
4.6%
평 1022
 
4.1%
진 948
 
3.8%
생 947
 
3.8%
흥 946
 
3.8%
터 724
 
2.9%
Other values (179) 13327
53.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 23887
96.2%
Space Separator 689
 
2.8%
Close Punctuation 108
 
0.4%
Open Punctuation 108
 
0.4%
Uppercase Letter 35
 
0.1%
Lowercase Letter 3
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
원 1709
 
7.2%
교 1440
 
6.0%
대 1395
 
5.8%
구 1236
 
5.2%
육 1136
 
4.8%
평 1022
 
4.3%
진 948
 
4.0%
생 947
 
4.0%
흥 946
 
4.0%
터 724
 
3.0%
Other values (172) 12384
51.8%
Uppercase Letter
ValueCountFrequency (%)
O 29
82.9%
C 3
 
8.6%
F 3
 
8.6%
Space Separator
ValueCountFrequency (%)
689
100.0%
Close Punctuation
ValueCountFrequency (%)
) 108
100.0%
Open Punctuation
ValueCountFrequency (%)
( 108
100.0%
Lowercase Letter
ValueCountFrequency (%)
n 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 23887
96.2%
Common 905
 
3.6%
Latin 38
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
원 1709
 
7.2%
교 1440
 
6.0%
대 1395
 
5.8%
구 1236
 
5.2%
육 1136
 
4.8%
평 1022
 
4.3%
진 948
 
4.0%
생 947
 
4.0%
흥 946
 
4.0%
터 724
 
3.0%
Other values (172) 12384
51.8%
Latin
ValueCountFrequency (%)
O 29
76.3%
C 3
 
7.9%
n 3
 
7.9%
F 3
 
7.9%
Common
ValueCountFrequency (%)
689
76.1%
) 108
 
11.9%
( 108
 
11.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 23887
96.2%
ASCII 943
 
3.8%

Most frequent character per block

Hangul
ValueCountFrequency (%)
원 1709
 
7.2%
교 1440
 
6.0%
대 1395
 
5.8%
구 1236
 
5.2%
육 1136
 
4.8%
평 1022
 
4.3%
진 948
 
4.0%
생 947
 
4.0%
흥 946
 
4.0%
터 724
 
3.0%
Other values (172) 12384
51.8%
ASCII
ValueCountFrequency (%)
689
73.1%
) 108
 
11.5%
( 108
 
11.5%
O 29
 
3.1%
C 3
 
0.3%
n 3
 
0.3%
F 3
 
0.3%

운영기관전화번호
Text

Distinct83
Distinct (%)4.1%
Missing0
Missing (%)0.0%
Memory size16.0 KiB
2024-03-16T03:50:31.422534image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length12.004427
Min length12

Characters and Unicode

Total characters24405
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

Unique33 ?
Unique (%)1.6%

Sample

1st row053-320-1029
2nd row053-426-2200
3rd row053-215-1880
4th row053-215-1880
5th row053-215-1880
ValueCountFrequency (%)
053-215-1880 470
23.1%
053-267-6111 469
23.1%
053-620-2294 206
10.1%
053-251-3500 121
 
6.0%
053-753-0074 110
 
5.4%
053-781-3888 101
 
5.0%
053-958-0951 76
 
3.7%
053-584-8721 74
 
3.6%
053-650-9553 46
 
2.3%
053-965-7922 36
 
1.8%
Other values (73) 324
15.9%
2024-03-16T03:50:32.284469image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 4066
16.7%
5 3589
14.7%
0 3537
14.5%
1 3055
12.5%
3 2633
10.8%
2 2093
8.6%
8 1763
7.2%
6 1469
 
6.0%
7 1007
 
4.1%
9 663
 
2.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 20339
83.3%
Dash Punctuation 4066
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 3589
17.6%
0 3537
17.4%
1 3055
15.0%
3 2633
12.9%
2 2093
10.3%
8 1763
8.7%
6 1469
7.2%
7 1007
 
5.0%
9 663
 
3.3%
4 530
 
2.6%
Dash Punctuation
ValueCountFrequency (%)
- 4066
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 24405
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 4066
16.7%
5 3589
14.7%
0 3537
14.5%
1 3055
12.5%
3 2633
10.8%
2 2093
8.6%
8 1763
7.2%
6 1469
 
6.0%
7 1007
 
4.1%
9 663
 
2.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 24405
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 4066
16.7%
5 3589
14.7%
0 3537
14.5%
1 3055
12.5%
3 2633
10.8%
2 2093
8.6%
8 1763
7.2%
6 1469
 
6.0%
7 1007
 
4.1%
9 663
 
2.7%

접수시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2033
Missing (%)100.0%
Memory size18.0 KiB

접수종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2033
Missing (%)100.0%
Memory size18.0 KiB

접수방법구분
Categorical

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size16.0 KiB
인터넷
1803 
인터넷+방문접수
230 

Length

Max length8
Median length3
Mean length3.5656665
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row인터넷
2nd row인터넷+방문접수
3rd row인터넷
4th row인터넷
5th row인터넷

Common Values

ValueCountFrequency (%)
인터넷 1803
88.7%
인터넷+방문접수 230
 
11.3%

Length

2024-03-16T03:50:32.723128image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-16T03:50:33.059878image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
인터넷 1803
88.7%
인터넷+방문접수 230
 
11.3%

선정방법구분
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2033
Missing (%)100.0%
Memory size18.0 KiB

홈페이지주소
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2033
Missing (%)100.0%
Memory size18.0 KiB

직업능력개발훈련비지원강좌여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2033
Missing (%)100.0%
Memory size18.0 KiB

학점은행제평가(학점)인정여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2033
Missing (%)100.0%
Memory size18.0 KiB

평생학습계좌제평가인정여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2033
Missing (%)100.0%
Memory size18.0 KiB

데이터기준일자
Date

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size16.0 KiB
Minimum2024-02-27 00:00:00
Maximum2024-02-27 00:00:00
2024-03-16T03:50:33.366675image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-16T03:50:33.773397image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Sample

강좌명강사명교육시작일자교육종료일자교육시작시각교육종료시각강좌내용교육대상구분교육방법구분운영요일교육장소강좌정원수수강료교육장도로명주소운영기관명운영기관전화번호접수시작일자접수종료일자접수방법구분선정방법구분홈페이지주소직업능력개발훈련비지원강좌여부학점은행제평가(학점)인정여부평생학습계좌제평가인정여부데이터기준일자
0성폭력 전문상담원 양성과정우성진2024-04-062024-06-22<NA><NA>성폭력 전문상담원 양성과정 강좌청년/직장인+성인혼합<NA>대구과학대학교 평생교육원40300000대구광역시 북구 영송로 47대구과학대학교부설평생교육원053-320-1029<NA><NA>인터넷<NA><NA><NA><NA><NA>2024-02-27
1인지활동 전문가 양성임일숙2024-04-012024-05-02<NA><NA>인지활동 전문가 양성 강좌성인혼합<NA>가람직업전문학교 제1강의실20250000대구광역시 수성구 달구벌대로 3072가람직업전문학교053-426-2200<NA><NA>인터넷+방문접수<NA><NA><NA><NA><NA>2024-02-27
2자이언트얀 작품 만들기대구온라인클래스2024-02-222024-12-31<NA><NA>자이언트얀 작품 만들기 강좌유아+초등+청소년+청년/직장인+성인+어르신+장애인+외국인+기타온라인<NA>대구평생학습플랫폼5000대구광역시 북구 연암로 40대구시행복진흥사회서비스원 대구평생교육진흥원053-215-1880<NA><NA>인터넷<NA><NA><NA><NA><NA>2024-02-27
3예술 놀이로 내 아이의 잠재력 키우기대구온라인클래스2024-02-222024-12-31<NA><NA>예술 놀이로 내 아이의 잠재력 키우기 강좌유아+초등+청소년+청년/직장인+성인+어르신+장애인+외국인+기타온라인<NA>대구평생학습플랫폼5000대구광역시 북구 연암로 40대구시행복진흥사회서비스원 대구평생교육진흥원053-215-1880<NA><NA>인터넷<NA><NA><NA><NA><NA>2024-02-27
4나만의 홈가드닝 시작하기대구온라인클래스2024-02-222024-12-31<NA><NA>나만의 홈가드닝 시작하기 강좌유아+초등+청소년+청년/직장인+성인+어르신+장애인+외국인+기타온라인<NA>대구평생학습플랫폼5000대구광역시 북구 연암로 40대구시행복진흥사회서비스원 대구평생교육진흥원053-215-1880<NA><NA>인터넷<NA><NA><NA><NA><NA>2024-02-27
5신중년을 위한 라이프코칭대구온라인클래스2024-02-222024-12-31<NA><NA>신중년을 위한 라이프코칭 강좌유아+초등+청소년+청년/직장인+성인+어르신+장애인+외국인+기타온라인<NA>대구평생학습플랫폼5000대구광역시 북구 연암로 40대구시행복진흥사회서비스원 대구평생교육진흥원053-215-1880<NA><NA>인터넷<NA><NA><NA><NA><NA>2024-02-27
6나다운 삶의 플러스대구온라인클래스2024-02-222024-12-31<NA><NA>나다운 삶의 플러스 강좌유아+초등+청소년+청년/직장인+성인+어르신+장애인+외국인+기타온라인<NA>대구평생학습플랫폼5000대구광역시 북구 연암로 40대구시행복진흥사회서비스원 대구평생교육진흥원053-215-1880<NA><NA>인터넷<NA><NA><NA><NA><NA>2024-02-27
7100세까지 건강하게, 두뇌 트레이닝대구온라인클래스2024-02-222024-12-31<NA><NA>100세까지 건강하게, 두뇌 트레이닝 강좌유아+초등+청소년+청년/직장인+성인+어르신+장애인+외국인+기타온라인<NA>대구평생학습플랫폼5000대구광역시 북구 연암로 40대구시행복진흥사회서비스원 대구평생교육진흥원053-215-1880<NA><NA>인터넷<NA><NA><NA><NA><NA>2024-02-27
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