Overview

Dataset statistics

Number of variables25
Number of observations6357
Missing cells17289
Missing cells (%)10.9%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.2 MiB
Average record size in memory203.0 B

Variable types

Text9
Unsupported1
DateTime7
Categorical3
Numeric2
Boolean3

Dataset

Description평생학습 강좌 현황(제공표준)
Author경기도
URLhttps://data.gg.go.kr/portal/data/service/selectServicePage.do?&infId=Q318MFGTWD8D0Q36X8H112883673&infSeq=1

Alerts

교육방법구분 is highly imbalanced (51.0%)Imbalance
선정방법구분 is highly imbalanced (52.5%)Imbalance
직업능력개발훈련비지원강좌여부 is highly imbalanced (99.7%)Imbalance
학점은행제평가(학점)인정여부 is highly imbalanced (87.6%)Imbalance
평생학습계좌제평가인정여부 is highly imbalanced (85.9%)Imbalance
강사명 has 6357 (100.0%) missing valuesMissing
교육시작시각 has 636 (10.0%) missing valuesMissing
교육종료시각 has 636 (10.0%) missing valuesMissing
운영요일 has 565 (8.9%) missing valuesMissing
교육장소 has 565 (8.9%) missing valuesMissing
접수시작일자 has 994 (15.6%) missing valuesMissing
접수종료일자 has 994 (15.6%) missing valuesMissing
홈페이지주소 has 593 (9.3%) missing valuesMissing
직업능력개발훈련비지원강좌여부 has 1983 (31.2%) missing valuesMissing
학점은행제평가(학점)인정여부 has 1983 (31.2%) missing valuesMissing
평생학습계좌제평가인정여부 has 1983 (31.2%) missing valuesMissing
강좌정원수 is highly skewed (γ1 = 27.15413237)Skewed
수강료 is highly skewed (γ1 = 24.2084222)Skewed
강사명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
수강료 has 1191 (18.7%) zerosZeros

Reproduction

Analysis started2024-05-03 19:24:21.986820
Analysis finished2024-05-03 19:24:28.348846
Duration6.36 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

강좌명
Text

Distinct5268
Distinct (%)82.9%
Missing0
Missing (%)0.0%
Memory size49.8 KiB
2024-05-03T19:24:29.160903image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length67
Median length50
Mean length15.264748
Min length2

Characters and Unicode

Total characters97038
Distinct characters929
Distinct categories15 ?
Distinct scripts4 ?
Distinct blocks8 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique4670 ?
Unique (%)73.5%

Sample

1st row점핑클레이랑 쿠키랑 (A)
2nd row점핑클레이랑 쿠키랑 (B)
3rd row감각을 키우는 미술(A)
4th row감각을 키우는 미술(B)
5th row감각을 키우는 미술(C)
ValueCountFrequency (%)
강좌번호 238
 
1.4%
169
 
1.0%
2023년 108
 
0.6%
2급 102
 
0.6%
a 102
 
0.6%
2023 98
 
0.6%
위한 95
 
0.6%
초급 92
 
0.5%
b 90
 
0.5%
덕계 86
 
0.5%
Other values (6976) 15856
93.1%
2024-05-03T19:24:31.076569image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
10762
 
11.1%
) 3247
 
3.3%
( 3204
 
3.3%
기 1607
 
1.7%
[ 1503
 
1.5%
] 1502
 
1.5%
2 1389
 
1.4%
스 1242
 
1.3%
강 1237
 
1.3%
리 1133
 
1.2%
Other values (919) 70212
72.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 65827
67.8%
Space Separator 10762
 
11.1%
Decimal Number 4960
 
5.1%
Close Punctuation 4792
 
4.9%
Open Punctuation 4750
 
4.9%
Other Punctuation 1761
 
1.8%
Lowercase Letter 1679
 
1.7%
Uppercase Letter 1483
 
1.5%
Dash Punctuation 470
 
0.5%
Math Symbol 249
 
0.3%
Other values (5) 305
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
기 1607
 
2.4%
스 1242
 
1.9%
강 1237
 
1.9%
리 1133
 
1.7%
어 929
 
1.4%
이 927
 
1.4%
번 876
 
1.3%
호 862
 
1.3%
좌 858
 
1.3%
급 821
 
1.2%
Other values (826) 55335
84.1%
Uppercase Letter
ValueCountFrequency (%)
A 302
20.4%
B 255
17.2%
T 99
 
6.7%
I 94
 
6.3%
O 86
 
5.8%
P 82
 
5.5%
Q 67
 
4.5%
S 64
 
4.3%
C 61
 
4.1%
E 48
 
3.2%
Other values (16) 325
21.9%
Lowercase Letter
ValueCountFrequency (%)
a 361
21.5%
p 315
18.8%
m 315
18.8%
t 126
 
7.5%
e 105
 
6.3%
l 99
 
5.9%
g 52
 
3.1%
n 49
 
2.9%
o 36
 
2.1%
r 27
 
1.6%
Other values (13) 194
11.6%
Decimal Number
ValueCountFrequency (%)
2 1389
28.0%
1 924
18.6%
3 744
15.0%
0 608
12.3%
6 293
 
5.9%
4 281
 
5.7%
5 268
 
5.4%
8 164
 
3.3%
7 161
 
3.2%
9 128
 
2.6%
Other Punctuation
ValueCountFrequency (%)
: 393
22.3%
; 389
22.1%
& 303
17.2%
/ 268
15.2%
, 259
14.7%
. 90
 
5.1%
· 50
 
2.8%
? 9
 
0.5%
Close Punctuation
ValueCountFrequency (%)
) 3247
67.8%
] 1502
31.3%
』 22
 
0.5%
」 20
 
0.4%
》 1
 
< 0.1%
Open Punctuation
ValueCountFrequency (%)
( 3204
67.5%
[ 1503
31.6%
『 22
 
0.5%
「 20
 
0.4%
《 1
 
< 0.1%
Math Symbol
ValueCountFrequency (%)
~ 132
53.0%
+ 114
45.8%
～ 2
 
0.8%
= 1
 
0.4%
Other Symbol
ValueCountFrequency (%)
♥ 2
40.0%
♡ 2
40.0%
♬ 1
20.0%
Letter Number
ValueCountFrequency (%)
Ⅰ 44
57.1%
Ⅱ 33
42.9%
Final Punctuation
ValueCountFrequency (%)
’ 7
77.8%
” 2
 
22.2%
Initial Punctuation
ValueCountFrequency (%)
‘ 3
60.0%
“ 2
40.0%
Space Separator
ValueCountFrequency (%)
10762
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 470
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 209
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 65793
67.8%
Common 27972
28.8%
Latin 3239
 
3.3%
Han 34
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
기 1607
 
2.4%
스 1242
 
1.9%
강 1237
 
1.9%
리 1133
 
1.7%
어 929
 
1.4%
이 927
 
1.4%
번 876
 
1.3%
호 862
 
1.3%
좌 858
 
1.3%
급 821
 
1.2%
Other values (804) 55301
84.1%
Latin
ValueCountFrequency (%)
a 361
 
11.1%
p 315
 
9.7%
m 315
 
9.7%
A 302
 
9.3%
B 255
 
7.9%
t 126
 
3.9%
e 105
 
3.2%
l 99
 
3.1%
T 99
 
3.1%
I 94
 
2.9%
Other values (41) 1168
36.1%
Common
ValueCountFrequency (%)
10762
38.5%
) 3247
 
11.6%
( 3204
 
11.5%
[ 1503
 
5.4%
] 1502
 
5.4%
2 1389
 
5.0%
1 924
 
3.3%
3 744
 
2.7%
0 608
 
2.2%
- 470
 
1.7%
Other values (32) 3619
 
12.9%
Han
ValueCountFrequency (%)
理 3
 
8.8%
畵 3
 
8.8%
命 2
 
5.9%
論 2
 
5.9%
民 2
 
5.9%
愛 2
 
5.9%
知 2
 
5.9%
色 2
 
5.9%
集 2
 
5.9%
詩 2
 
5.9%
Other values (12) 12
35.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 65793
67.8%
ASCII 30977
31.9%
None 138
 
0.1%
Number Forms 77
 
0.1%
CJK 32
 
< 0.1%
Punctuation 14
 
< 0.1%
Misc Symbols 5
 
< 0.1%
CJK Compat Ideographs 2
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
10762
34.7%
) 3247
 
10.5%
( 3204
 
10.3%
[ 1503
 
4.9%
] 1502
 
4.8%
2 1389
 
4.5%
1 924
 
3.0%
3 744
 
2.4%
0 608
 
2.0%
- 470
 
1.5%
Other values (66) 6624
21.4%
Hangul
ValueCountFrequency (%)
기 1607
 
2.4%
스 1242
 
1.9%
강 1237
 
1.9%
리 1133
 
1.7%
어 929
 
1.4%
이 927
 
1.4%
번 876
 
1.3%
호 862
 
1.3%
좌 858
 
1.3%
급 821
 
1.2%
Other values (804) 55301
84.1%
None
ValueCountFrequency (%)
· 50
36.2%
『 22
15.9%
』 22
15.9%
」 20
 
14.5%
「 20
 
14.5%
～ 2
 
1.4%
》 1
 
0.7%
《 1
 
0.7%
Number Forms
ValueCountFrequency (%)
Ⅰ 44
57.1%
Ⅱ 33
42.9%
Punctuation
ValueCountFrequency (%)
’ 7
50.0%
‘ 3
21.4%
“ 2
 
14.3%
” 2
 
14.3%
CJK
ValueCountFrequency (%)
理 3
 
9.4%
畵 3
 
9.4%
命 2
 
6.2%
民 2
 
6.2%
愛 2
 
6.2%
知 2
 
6.2%
色 2
 
6.2%
集 2
 
6.2%
詩 2
 
6.2%
花 1
 
3.1%
Other values (11) 11
34.4%
CJK Compat Ideographs
ValueCountFrequency (%)
論 2
100.0%
Misc Symbols
ValueCountFrequency (%)
♥ 2
40.0%
♡ 2
40.0%
♬ 1
20.0%

강사명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing6357
Missing (%)100.0%
Memory size56.0 KiB

교육시작일자
Date

Distinct567
Distinct (%)8.9%
Missing0
Missing (%)0.0%
Memory size49.8 KiB
Minimum2015-02-11 00:00:00
Maximum2024-03-16 00:00:00
2024-05-03T19:24:31.693846image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-03T19:24:32.197438image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

교육종료일자
Date

Distinct671
Distinct (%)10.6%
Missing0
Missing (%)0.0%
Memory size49.8 KiB
Minimum2015-02-24 00:00:00
Maximum2024-12-13 00:00:00
2024-05-03T19:24:32.613450image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-03T19:24:33.074330image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

교육시작시각
Date

MISSING 

Distinct74
Distinct (%)1.3%
Missing636
Missing (%)10.0%
Memory size49.8 KiB
Minimum2024-05-03 00:00:00
Maximum2024-05-03 20:30:00
2024-05-03T19:24:33.573124image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-03T19:24:34.349679image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

교육종료시각
Date

MISSING 

Distinct79
Distinct (%)1.4%
Missing636
Missing (%)10.0%
Memory size49.8 KiB
Minimum2024-05-03 00:00:00
Maximum2024-05-03 22:30:00
2024-05-03T19:24:35.036675image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-03T19:24:35.607130image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

강좌내용
Text

Distinct2649
Distinct (%)41.7%
Missing0
Missing (%)0.0%
Memory size49.8 KiB
2024-05-03T19:24:36.527812image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length525
Median length501
Mean length28.25059
Min length1

Characters and Unicode

Total characters179589
Distinct characters1005
Distinct categories16 ?
Distinct scripts4 ?
Distinct blocks10 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2021 ?
Unique (%)31.8%

Sample

1st row색 배합과 조화를 익히고 기본도형을 익힌다
2nd row색 배합과 조화를 익히고 기본도형을 익힌다
3rd row다양한 미술 재료로 여러 주제의 미술 경험을 함으로써 상상력과 창의력을 배양하고 표현하게 하는 강좌
4th row다양한 미술 재료로 여러 주제의 미술 경험을 함으로써 상상력과 창의력을 배양하고 표현하게 하는 강좌
5th row다양한 미술 재료로 여러 주제의 미술 경험을 함으로써 상상력과 창의력을 배양하고 표현하게 하는 강좌
ValueCountFrequency (%)
906
 
2.3%
프로그램 614
 
1.6%
및 536
 
1.4%
수 448
 
1.1%
자격증 318
 
0.8%
생활문화예술 242
 
0.6%
취미/교양 240
 
0.6%
강좌 236
 
0.6%
교육 224
 
0.6%
등 218
 
0.6%
Other values (9199) 35027
89.8%
2024-05-03T19:24:37.935703image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
33880
 
18.9%
기 2677
 
1.5%
이 2163
 
1.2%
수 2151
 
1.2%
을 2099
 
1.2%
로 2004
 
1.1%
다 1980
 
1.1%
자 1841
 
1.0%
, 1803
 
1.0%
교 1768
 
1.0%
Other values (995) 127223
70.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 130005
72.4%
Space Separator 33880
 
18.9%
Other Punctuation 6069
 
3.4%
Decimal Number 4188
 
2.3%
Open Punctuation 1203
 
0.7%
Close Punctuation 1203
 
0.7%
Lowercase Letter 1141
 
0.6%
Uppercase Letter 689
 
0.4%
Math Symbol 464
 
0.3%
Dash Punctuation 414
 
0.2%
Other values (6) 333
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
기 2677
 
2.1%
이 2163
 
1.7%
수 2151
 
1.7%
을 2099
 
1.6%
로 2004
 
1.5%
다 1980
 
1.5%
자 1841
 
1.4%
교 1768
 
1.4%
강 1621
 
1.2%
의 1609
 
1.2%
Other values (900) 110092
84.7%
Lowercase Letter
ValueCountFrequency (%)
a 211
18.5%
m 197
17.3%
p 185
16.2%
t 87
7.6%
e 81
 
7.1%
o 49
 
4.3%
l 45
 
3.9%
r 37
 
3.2%
g 36
 
3.2%
n 35
 
3.1%
Other values (16) 178
15.6%
Uppercase Letter
ValueCountFrequency (%)
P 109
15.8%
M 72
10.4%
I 65
9.4%
T 59
8.6%
A 54
 
7.8%
S 48
 
7.0%
D 46
 
6.7%
E 45
 
6.5%
B 32
 
4.6%
Q 23
 
3.3%
Other values (15) 136
19.7%
Other Punctuation
ValueCountFrequency (%)
, 1803
29.7%
. 1703
28.1%
/ 1199
19.8%
: 701
 
11.6%
; 209
 
3.4%
& 165
 
2.7%
* 161
 
2.7%
· 119
 
2.0%
? 4
 
0.1%
※ 4
 
0.1%
Decimal Number
ValueCountFrequency (%)
0 1276
30.5%
2 810
19.3%
1 620
14.8%
3 362
 
8.6%
5 289
 
6.9%
4 270
 
6.4%
7 179
 
4.3%
6 179
 
4.3%
8 127
 
3.0%
9 75
 
1.8%
Math Symbol
ValueCountFrequency (%)
~ 228
49.1%
+ 192
41.4%
∨ 22
 
4.7%
× 22
 
4.7%
Open Punctuation
ValueCountFrequency (%)
( 1098
91.3%
[ 101
 
8.4%
「 4
 
0.3%
Close Punctuation
ValueCountFrequency (%)
) 1097
91.2%
] 102
 
8.5%
」 4
 
0.3%
Other Number
ValueCountFrequency (%)
① 91
45.7%
② 86
43.2%
③ 22
 
11.1%
Final Punctuation
ValueCountFrequency (%)
” 52
76.5%
’ 16
 
23.5%
Initial Punctuation
ValueCountFrequency (%)
“ 52
83.9%
‘ 10
 
16.1%
Space Separator
ValueCountFrequency (%)
33880
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 414
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 2
100.0%
Letter Number
ValueCountFrequency (%)
Ⅱ 1
100.0%
Other Symbol
ValueCountFrequency (%)
♡ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 129978
72.4%
Common 47753
 
26.6%
Latin 1831
 
1.0%
Han 27
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
기 2677
 
2.1%
이 2163
 
1.7%
수 2151
 
1.7%
을 2099
 
1.6%
로 2004
 
1.5%
다 1980
 
1.5%
자 1841
 
1.4%
교 1768
 
1.4%
강 1621
 
1.2%
의 1609
 
1.2%
Other values (887) 110065
84.7%
Latin
ValueCountFrequency (%)
a 211
 
11.5%
m 197
 
10.8%
p 185
 
10.1%
P 109
 
6.0%
t 87
 
4.8%
e 81
 
4.4%
M 72
 
3.9%
I 65
 
3.5%
T 59
 
3.2%
A 54
 
2.9%
Other values (42) 711
38.8%
Common
ValueCountFrequency (%)
33880
70.9%
, 1803
 
3.8%
. 1703
 
3.6%
0 1276
 
2.7%
/ 1199
 
2.5%
( 1098
 
2.3%
) 1097
 
2.3%
2 810
 
1.7%
: 701
 
1.5%
1 620
 
1.3%
Other values (33) 3566
 
7.5%
Han
ValueCountFrequency (%)
新 8
29.6%
我 6
22.2%
論 2
 
7.4%
知 2
 
7.4%
史 1
 
3.7%
花 1
 
3.7%
彼 1
 
3.7%
己 1
 
3.7%
小 1
 
3.7%
理 1
 
3.7%
Other values (3) 3
 
11.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 129978
72.4%
ASCII 49077
 
27.3%
Enclosed Alphanum 199
 
0.1%
None 150
 
0.1%
Punctuation 134
 
0.1%
CJK 25
 
< 0.1%
Math Operators 22
 
< 0.1%
CJK Compat Ideographs 2
 
< 0.1%
Number Forms 1
 
< 0.1%
Misc Symbols 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
33880
69.0%
, 1803
 
3.7%
. 1703
 
3.5%
0 1276
 
2.6%
/ 1199
 
2.4%
( 1098
 
2.2%
) 1097
 
2.2%
2 810
 
1.7%
: 701
 
1.4%
1 620
 
1.3%
Other values (69) 4890
 
10.0%
Hangul
ValueCountFrequency (%)
기 2677
 
2.1%
이 2163
 
1.7%
수 2151
 
1.7%
을 2099
 
1.6%
로 2004
 
1.5%
다 1980
 
1.5%
자 1841
 
1.4%
교 1768
 
1.4%
강 1621
 
1.2%
의 1609
 
1.2%
Other values (887) 110065
84.7%
None
ValueCountFrequency (%)
· 119
79.3%
× 22
 
14.7%
」 4
 
2.7%
「 4
 
2.7%
５ 1
 
0.7%
Enclosed Alphanum
ValueCountFrequency (%)
① 91
45.7%
② 86
43.2%
③ 22
 
11.1%
Punctuation
ValueCountFrequency (%)
” 52
38.8%
“ 52
38.8%
’ 16
 
11.9%
‘ 10
 
7.5%
※ 4
 
3.0%
Math Operators
ValueCountFrequency (%)
∨ 22
100.0%
CJK
ValueCountFrequency (%)
新 8
32.0%
我 6
24.0%
知 2
 
8.0%
史 1
 
4.0%
花 1
 
4.0%
彼 1
 
4.0%
己 1
 
4.0%
小 1
 
4.0%
理 1
 
4.0%
色 1
 
4.0%
Other values (2) 2
 
8.0%
CJK Compat Ideographs
ValueCountFrequency (%)
論 2
100.0%
Number Forms
ValueCountFrequency (%)
Ⅱ 1
100.0%
Misc Symbols
ValueCountFrequency (%)
♡ 1
100.0%

교육대상구분
Text

Distinct213
Distinct (%)3.4%
Missing0
Missing (%)0.0%
Memory size49.8 KiB
2024-05-03T19:24:38.534060image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length34
Median length31
Mean length4.6894762
Min length2

Characters and Unicode

Total characters29811
Distinct characters149
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique96 ?
Unique (%)1.5%

Sample

1st row5~7세
2nd row6~7세
3rd row5~6세
4th row6~7세
5th row7세~초등1
ValueCountFrequency (%)
성인 2242
25.9%
지역주민 1151
13.3%
시민 403
 
4.7%
일반+성인 338
 
3.9%
일반 331
 
3.8%
18세이상 329
 
3.8%
및 295
 
3.4%
직장인 282
 
3.3%
관내 281
 
3.2%
안양 251
 
2.9%
Other values (203) 2755
31.8%
2024-05-03T19:24:39.671533image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
인 3476
 
11.7%
성 3223
 
10.8%
민 2488
 
8.3%
2301
 
7.7%
주 1763
 
5.9%
지 1412
 
4.7%
역 1411
 
4.7%
+ 1036
 
3.5%
시 987
 
3.3%
반 716
 
2.4%
Other values (139) 10998
36.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 25069
84.1%
Space Separator 2301
 
7.7%
Decimal Number 1178
 
4.0%
Math Symbol 1162
 
3.9%
Other Punctuation 38
 
0.1%
Close Punctuation 25
 
0.1%
Open Punctuation 25
 
0.1%
Dash Punctuation 10
 
< 0.1%
Lowercase Letter 3
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
인 3476
13.9%
성 3223
 
12.9%
민 2488
 
9.9%
주 1763
 
7.0%
지 1412
 
5.6%
역 1411
 
5.6%
시 987
 
3.9%
반 716
 
2.9%
일 715
 
2.9%
양 558
 
2.2%
Other values (115) 8320
33.2%
Decimal Number
ValueCountFrequency (%)
1 465
39.5%
8 332
28.2%
6 86
 
7.3%
9 76
 
6.5%
5 44
 
3.7%
3 44
 
3.7%
4 42
 
3.6%
2 34
 
2.9%
7 33
 
2.8%
0 22
 
1.9%
Other Punctuation
ValueCountFrequency (%)
, 22
57.9%
· 7
 
18.4%
? 7
 
18.4%
& 1
 
2.6%
; 1
 
2.6%
Lowercase Letter
ValueCountFrequency (%)
a 1
33.3%
m 1
33.3%
p 1
33.3%
Math Symbol
ValueCountFrequency (%)
+ 1036
89.2%
~ 126
 
10.8%
Space Separator
ValueCountFrequency (%)
2301
100.0%
Close Punctuation
ValueCountFrequency (%)
) 25
100.0%
Open Punctuation
ValueCountFrequency (%)
( 25
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 10
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 25069
84.1%
Common 4739
 
15.9%
Latin 3
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
인 3476
13.9%
성 3223
 
12.9%
민 2488
 
9.9%
주 1763
 
7.0%
지 1412
 
5.6%
역 1411
 
5.6%
시 987
 
3.9%
반 716
 
2.9%
일 715
 
2.9%
양 558
 
2.2%
Other values (115) 8320
33.2%
Common
ValueCountFrequency (%)
2301
48.6%
+ 1036
21.9%
1 465
 
9.8%
8 332
 
7.0%
~ 126
 
2.7%
6 86
 
1.8%
9 76
 
1.6%
5 44
 
0.9%
3 44
 
0.9%
4 42
 
0.9%
Other values (11) 187
 
3.9%
Latin
ValueCountFrequency (%)
a 1
33.3%
m 1
33.3%
p 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 25069
84.1%
ASCII 4735
 
15.9%
None 7
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
인 3476
13.9%
성 3223
 
12.9%
민 2488
 
9.9%
주 1763
 
7.0%
지 1412
 
5.6%
역 1411
 
5.6%
시 987
 
3.9%
반 716
 
2.9%
일 715
 
2.9%
양 558
 
2.2%
Other values (115) 8320
33.2%
ASCII
ValueCountFrequency (%)
2301
48.6%
+ 1036
21.9%
1 465
 
9.8%
8 332
 
7.0%
~ 126
 
2.7%
6 86
 
1.8%
9 76
 
1.6%
5 44
 
0.9%
3 44
 
0.9%
4 42
 
0.9%
Other values (13) 183
 
3.9%
None
ValueCountFrequency (%)
· 7
100.0%

교육방법구분
Categorical

IMBALANCE 

Distinct5
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size49.8 KiB
오프라인
4960 
온라인
542 
온라인+오프라인
 
413
혼합
 
399
방문교육
 
43

Length

Max length8
Median length4
Mean length4.0490798
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row오프라인
2nd row오프라인
3rd row오프라인
4th row오프라인
5th row오프라인

Common Values

ValueCountFrequency (%)
오프라인 4960
78.0%
온라인 542
 
8.5%
온라인+오프라인 413
 
6.5%
혼합 399
 
6.3%
방문교육 43
 
0.7%

Length

2024-05-03T19:24:40.275582image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-03T19:24:40.746037image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
오프라인 4960
78.0%
온라인 542
 
8.5%
온라인+오프라인 413
 
6.5%
혼합 399
 
6.3%
방문교육 43
 
0.7%

운영요일
Text

MISSING 

Distinct61
Distinct (%)1.1%
Missing565
Missing (%)8.9%
Memory size49.8 KiB
2024-05-03T19:24:41.205512image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length11
Median length1
Mean length1.6251727
Min length1

Characters and Unicode

Total characters9413
Distinct characters14
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique15 ?
Unique (%)0.3%

Sample

1st row금
2nd row금
3rd row토
4th row토
5th row토
ValueCountFrequency (%)
화 881
15.2%
수 868
15.0%
목 822
14.2%
월 812
14.0%
금 642
11.1%
화+목 422
7.3%
월+수 341
 
5.9%
토 183
 
3.2%
수+금 109
 
1.9%
화+금 85
 
1.5%
Other values (45) 641
11.0%
2024-05-03T19:24:42.370510image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
화 1658
17.6%
수 1593
16.9%
목 1522
16.2%
+ 1451
15.4%
월 1423
15.1%
금 1024
10.9%
일 269
 
2.9%
요 259
 
2.8%
토 196
 
2.1%
14
 
0.1%
Other values (4) 4
 
< 0.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 7948
84.4%
Math Symbol 1451
 
15.4%
Space Separator 14
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
화 1658
20.9%
수 1593
20.0%
목 1522
19.1%
월 1423
17.9%
금 1024
12.9%
일 269
 
3.4%
요 259
 
3.3%
토 196
 
2.5%
성 1
 
< 0.1%
인 1
 
< 0.1%
Other values (2) 2
 
< 0.1%
Math Symbol
ValueCountFrequency (%)
+ 1451
100.0%
Space Separator
ValueCountFrequency (%)
14
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 7948
84.4%
Common 1465
 
15.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
화 1658
20.9%
수 1593
20.0%
목 1522
19.1%
월 1423
17.9%
금 1024
12.9%
일 269
 
3.4%
요 259
 
3.3%
토 196
 
2.5%
성 1
 
< 0.1%
인 1
 
< 0.1%
Other values (2) 2
 
< 0.1%
Common
ValueCountFrequency (%)
+ 1451
99.0%
14
 
1.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 7948
84.4%
ASCII 1465
 
15.6%

Most frequent character per block

Hangul
ValueCountFrequency (%)
화 1658
20.9%
수 1593
20.0%
목 1522
19.1%
월 1423
17.9%
금 1024
12.9%
일 269
 
3.4%
요 259
 
3.3%
토 196
 
2.5%
성 1
 
< 0.1%
인 1
 
< 0.1%
Other values (2) 2
 
< 0.1%
ASCII
ValueCountFrequency (%)
+ 1451
99.0%
14
 
1.0%

교육장소
Text

MISSING 

Distinct551
Distinct (%)9.5%
Missing565
Missing (%)8.9%
Memory size49.8 KiB
2024-05-03T19:24:42.942587image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length33
Median length23
Mean length8.0889157
Min length2

Characters and Unicode

Total characters46851
Distinct characters383
Distinct categories12 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique220 ?
Unique (%)3.8%

Sample

1st row장안구민회관
2nd row장안구민회관
3rd row장안구민회관
4th row장안구민회관
5th row장안구민회관
ValueCountFrequency (%)
광명시여성비전센터 619
 
8.0%
평생학습센터 439
 
5.7%
덕계학습관 262
 
3.4%
장안구민회관 251
 
3.2%
행정복지센터 236
 
3.0%
경기평생교육학습관 214
 
2.8%
백석학습관 198
 
2.6%
평생학습관 196
 
2.5%
평택시 158
 
2.0%
2층 156
 
2.0%
Other values (597) 5012
64.7%
2024-05-03T19:24:43.947912image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
학 2399
 
5.1%
습 2335
 
5.0%
터 2309
 
4.9%
센 2232
 
4.8%
관 2102
 
4.5%
평 2054
 
4.4%
1958
 
4.2%
생 1857
 
4.0%
시 1719
 
3.7%
광 905
 
1.9%
Other values (373) 26981
57.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 42328
90.3%
Space Separator 1958
 
4.2%
Decimal Number 1571
 
3.4%
Close Punctuation 339
 
0.7%
Open Punctuation 338
 
0.7%
Uppercase Letter 145
 
0.3%
Lowercase Letter 78
 
0.2%
Connector Punctuation 39
 
0.1%
Dash Punctuation 26
 
0.1%
Letter Number 19
 
< 0.1%
Other values (2) 10
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
학 2399
 
5.7%
습 2335
 
5.5%
터 2309
 
5.5%
센 2232
 
5.3%
관 2102
 
5.0%
평 2054
 
4.9%
생 1857
 
4.4%
시 1719
 
4.1%
광 905
 
2.1%
명 900
 
2.1%
Other values (324) 23516
55.6%
Uppercase Letter
ValueCountFrequency (%)
O 48
33.1%
Z 27
18.6%
M 26
17.9%
A 16
 
11.0%
V 13
 
9.0%
T 3
 
2.1%
S 2
 
1.4%
P 2
 
1.4%
R 1
 
0.7%
I 1
 
0.7%
Other values (6) 6
 
4.1%
Lowercase Letter
ValueCountFrequency (%)
o 31
39.7%
m 15
19.2%
z 12
 
15.4%
e 4
 
5.1%
t 3
 
3.8%
u 2
 
2.6%
i 2
 
2.6%
a 2
 
2.6%
h 2
 
2.6%
r 2
 
2.6%
Other values (3) 3
 
3.8%
Decimal Number
ValueCountFrequency (%)
2 450
28.6%
1 424
27.0%
3 338
21.5%
4 94
 
6.0%
0 91
 
5.8%
6 63
 
4.0%
5 60
 
3.8%
7 28
 
1.8%
8 18
 
1.1%
9 5
 
0.3%
Letter Number
ValueCountFrequency (%)
Ⅱ 14
73.7%
Ⅰ 5
 
26.3%
Other Punctuation
ValueCountFrequency (%)
, 4
66.7%
/ 2
33.3%
Space Separator
ValueCountFrequency (%)
1958
100.0%
Close Punctuation
ValueCountFrequency (%)
) 339
100.0%
Open Punctuation
ValueCountFrequency (%)
( 338
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 39
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 26
100.0%
Math Symbol
ValueCountFrequency (%)
+ 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 42328
90.3%
Common 4281
 
9.1%
Latin 242
 
0.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
학 2399
 
5.7%
습 2335
 
5.5%
터 2309
 
5.5%
센 2232
 
5.3%
관 2102
 
5.0%
평 2054
 
4.9%
생 1857
 
4.4%
시 1719
 
4.1%
광 905
 
2.1%
명 900
 
2.1%
Other values (324) 23516
55.6%
Latin
ValueCountFrequency (%)
O 48
19.8%
o 31
12.8%
Z 27
11.2%
M 26
10.7%
A 16
 
6.6%
m 15
 
6.2%
Ⅱ 14
 
5.8%
V 13
 
5.4%
z 12
 
5.0%
Ⅰ 5
 
2.1%
Other values (21) 35
14.5%
Common
ValueCountFrequency (%)
1958
45.7%
2 450
 
10.5%
1 424
 
9.9%
) 339
 
7.9%
( 338
 
7.9%
3 338
 
7.9%
4 94
 
2.2%
0 91
 
2.1%
6 63
 
1.5%
5 60
 
1.4%
Other values (8) 126
 
2.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 42328
90.3%
ASCII 4504
 
9.6%
Number Forms 19
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
학 2399
 
5.7%
습 2335
 
5.5%
터 2309
 
5.5%
센 2232
 
5.3%
관 2102
 
5.0%
평 2054
 
4.9%
생 1857
 
4.4%
시 1719
 
4.1%
광 905
 
2.1%
명 900
 
2.1%
Other values (324) 23516
55.6%
ASCII
ValueCountFrequency (%)
1958
43.5%
2 450
 
10.0%
1 424
 
9.4%
) 339
 
7.5%
( 338
 
7.5%
3 338
 
7.5%
4 94
 
2.1%
0 91
 
2.0%
6 63
 
1.4%
5 60
 
1.3%
Other values (37) 349
 
7.7%
Number Forms
ValueCountFrequency (%)
Ⅱ 14
73.7%
Ⅰ 5
 
26.3%

강좌정원수
Real number (ℝ)

SKEWED 

Distinct63
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean35.721567
Minimum0
Maximum10000
Zeros5
Zeros (%)0.1%
Negative0
Negative (%)0.0%
Memory size56.0 KiB
2024-05-03T19:24:44.310117image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile8
Q112
median15
Q320
95-th percentile40
Maximum10000
Range10000
Interquartile range (IQR)8

Descriptive statistics

Standard deviation358.12744
Coefficient of variation (CV)10.025524
Kurtosis752.06264
Mean35.721567
Median Absolute Deviation (MAD)5
Skewness27.154132
Sum227082
Variance128255.26
MonotonicityNot monotonic
2024-05-03T19:24:44.792155image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20 1516
23.8%
15 1226
19.3%
10 900
14.2%
12 617
9.7%
16 338
 
5.3%
30 255
 
4.0%
8 162
 
2.5%
22 156
 
2.5%
14 135
 
2.1%
25 108
 
1.7%
Other values (53) 944
14.8%
ValueCountFrequency (%)
0 5
 
0.1%
1 2
 
< 0.1%
2 2
 
< 0.1%
3 3
 
< 0.1%
4 12
 
0.2%
5 83
1.3%
6 71
1.1%
7 45
 
0.7%
8 162
2.5%
9 75
1.2%
ValueCountFrequency (%)
10000 8
 
0.1%
800 6
 
0.1%
700 6
 
0.1%
600 21
0.3%
594 1
 
< 0.1%
576 1
 
< 0.1%
500 11
0.2%
426 1
 
< 0.1%
400 11
0.2%
300 8
 
0.1%

수강료
Real number (ℝ)

SKEWED  ZEROS 

Distinct62
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean35313.296
Minimum0
Maximum1700000
Zeros1191
Zeros (%)18.7%
Negative0
Negative (%)0.0%
Memory size56.0 KiB
2024-05-03T19:24:45.323293image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q120000
median30000
Q350000
95-th percentile80000
Maximum1700000
Range1700000
Interquartile range (IQR)30000

Descriptive statistics

Standard deviation39354.398
Coefficient of variation (CV)1.1144357
Kurtosis1008.3312
Mean35313.296
Median Absolute Deviation (MAD)20000
Skewness24.208422
Sum2.2448662 × 108
Variance1.5487687 × 109
MonotonicityNot monotonic
2024-05-03T19:24:45.781051image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
30000 1421
22.4%
0 1191
18.7%
60000 770
12.1%
20000 510
 
8.0%
50000 509
 
8.0%
40000 379
 
6.0%
45000 239
 
3.8%
10000 203
 
3.2%
80000 177
 
2.8%
54000 135
 
2.1%
Other values (52) 823
12.9%
ValueCountFrequency (%)
0 1191
18.7%
1000 17
 
0.3%
2000 5
 
0.1%
3000 3
 
< 0.1%
4000 2
 
< 0.1%
5000 5
 
0.1%
6000 1
 
< 0.1%
6250 1
 
< 0.1%
10000 203
 
3.2%
11000 1
 
< 0.1%
ValueCountFrequency (%)
1700000 2
 
< 0.1%
400000 2
 
< 0.1%
200000 1
 
< 0.1%
180000 1
 
< 0.1%
150000 10
 
0.2%
140000 1
 
< 0.1%
137500 2
 
< 0.1%
120000 36
0.6%
105000 1
 
< 0.1%
100000 52
0.8%

교육장도로명주소
Text

Distinct657
Distinct (%)10.3%
Missing0
Missing (%)0.0%
Memory size49.8 KiB
2024-05-03T19:24:46.392996image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length59
Median length54
Mean length21.37675
Min length13

Characters and Unicode

Total characters135892
Distinct characters341
Distinct categories8 ?
Distinct scripts4 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique288 ?
Unique (%)4.5%

Sample

1st row경기도 수원시 장안구 송원로 101
2nd row경기도 수원시 장안구 송원로 101
3rd row경기도 수원시 장안구 송원로 101
4th row경기도 수원시 장안구 송원로 101
5th row경기도 수원시 장안구 송원로 101
ValueCountFrequency (%)
경기도 6357
 
20.4%
광명시 1179
 
3.8%
의정부시 1052
 
3.4%
양주시 658
 
2.1%
오리로366번길 619
 
2.0%
오산시 557
 
1.8%
수원시 521
 
1.7%
39 404
 
1.3%
80 359
 
1.2%
행정복지센터 296
 
1.0%
Other values (958) 19153
61.5%
2024-05-03T19:24:47.543789image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
24866
 
18.3%
도 6926
 
5.1%
경 6794
 
5.0%
기 6512
 
4.8%
시 6396
 
4.7%
로 6224
 
4.6%
1 4926
 
3.6%
2 3056
 
2.2%
5 3024
 
2.2%
3 2973
 
2.2%
Other values (331) 64195
47.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 85312
62.8%
Space Separator 24866
 
18.3%
Decimal Number 23251
 
17.1%
Other Punctuation 783
 
0.6%
Dash Punctuation 598
 
0.4%
Close Punctuation 532
 
0.4%
Open Punctuation 532
 
0.4%
Uppercase Letter 18
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
도 6926
 
8.1%
경 6794
 
8.0%
기 6512
 
7.6%
시 6396
 
7.5%
로 6224
 
7.3%
정 2287
 
2.7%
길 2240
 
2.6%
번 1936
 
2.3%
동 1757
 
2.1%
오 1708
 
2.0%
Other values (311) 42532
49.9%
Decimal Number
ValueCountFrequency (%)
1 4926
21.2%
2 3056
13.1%
5 3024
13.0%
3 2973
12.8%
6 2810
12.1%
0 1677
 
7.2%
4 1284
 
5.5%
9 1218
 
5.2%
7 1187
 
5.1%
8 1096
 
4.7%
Uppercase Letter
ValueCountFrequency (%)
F 13
72.2%
L 2
 
11.1%
H 2
 
11.1%
A 1
 
5.6%
Other Punctuation
ValueCountFrequency (%)
, 782
99.9%
. 1
 
0.1%
Space Separator
ValueCountFrequency (%)
24866
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 598
100.0%
Close Punctuation
ValueCountFrequency (%)
) 532
100.0%
Open Punctuation
ValueCountFrequency (%)
( 532
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 85311
62.8%
Common 50562
37.2%
Latin 18
 
< 0.1%
Han 1
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
도 6926
 
8.1%
경 6794
 
8.0%
기 6512
 
7.6%
시 6396
 
7.5%
로 6224
 
7.3%
정 2287
 
2.7%
길 2240
 
2.6%
번 1936
 
2.3%
동 1757
 
2.1%
오 1708
 
2.0%
Other values (310) 42531
49.9%
Common
ValueCountFrequency (%)
24866
49.2%
1 4926
 
9.7%
2 3056
 
6.0%
5 3024
 
6.0%
3 2973
 
5.9%
6 2810
 
5.6%
0 1677
 
3.3%
4 1284
 
2.5%
9 1218
 
2.4%
7 1187
 
2.3%
Other values (6) 3541
 
7.0%
Latin
ValueCountFrequency (%)
F 13
72.2%
L 2
 
11.1%
H 2
 
11.1%
A 1
 
5.6%
Han
ValueCountFrequency (%)
內 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 85311
62.8%
ASCII 50580
37.2%
CJK 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
24866
49.2%
1 4926
 
9.7%
2 3056
 
6.0%
5 3024
 
6.0%
3 2973
 
5.9%
6 2810
 
5.6%
0 1677
 
3.3%
4 1284
 
2.5%
9 1218
 
2.4%
7 1187
 
2.3%
Other values (10) 3559
 
7.0%
Hangul
ValueCountFrequency (%)
도 6926
 
8.1%
경 6794
 
8.0%
기 6512
 
7.6%
시 6396
 
7.5%
로 6224
 
7.3%
정 2287
 
2.7%
길 2240
 
2.6%
번 1936
 
2.3%
동 1757
 
2.1%
오 1708
 
2.0%
Other values (310) 42531
49.9%
CJK
ValueCountFrequency (%)
內 1
100.0%

운영기관명
Text

Distinct140
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Memory size49.8 KiB
2024-05-03T19:24:48.168504image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length22
Median length19
Mean length11.290074
Min length3

Characters and Unicode

Total characters71771
Distinct characters167
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique9 ?
Unique (%)0.1%

Sample

1st row수원도시공사
2nd row수원도시공사
3rd row수원도시공사
4th row수원도시공사
5th row수원도시공사
ValueCountFrequency (%)
경기도 3127
22.8%
광명시 1082
 
7.9%
평생학습관 940
 
6.9%
양주시 658
 
4.8%
여성비전센터 619
 
4.5%
오산시 558
 
4.1%
주민자치센터 408
 
3.0%
평생학습원 384
 
2.8%
의정부시청 318
 
2.3%
수원도시공사 251
 
1.8%
Other values (148) 5350
39.1%
2024-05-03T19:24:49.431478image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
7338
 
10.2%
시 4721
 
6.6%
도 3686
 
5.1%
경 3468
 
4.8%
기 3435
 
4.8%
평 3259
 
4.5%
생 2996
 
4.2%
학 2616
 
3.6%
터 2539
 
3.5%
센 2539
 
3.5%
Other values (157) 35174
49.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 63499
88.5%
Space Separator 7338
 
10.2%
Decimal Number 715
 
1.0%
Open Punctuation 106
 
0.1%
Close Punctuation 106
 
0.1%
Math Symbol 7
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
시 4721
 
7.4%
도 3686
 
5.8%
경 3468
 
5.5%
기 3435
 
5.4%
평 3259
 
5.1%
생 2996
 
4.7%
학 2616
 
4.1%
터 2539
 
4.0%
센 2539
 
4.0%
습 2507
 
3.9%
Other values (146) 31733
50.0%
Decimal Number
ValueCountFrequency (%)
1 338
47.3%
2 208
29.1%
3 60
 
8.4%
5 43
 
6.0%
6 40
 
5.6%
7 20
 
2.8%
4 6
 
0.8%
Space Separator
ValueCountFrequency (%)
7338
100.0%
Open Punctuation
ValueCountFrequency (%)
( 106
100.0%
Close Punctuation
ValueCountFrequency (%)
) 106
100.0%
Math Symbol
ValueCountFrequency (%)
+ 7
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 63499
88.5%
Common 8272
 
11.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
시 4721
 
7.4%
도 3686
 
5.8%
경 3468
 
5.5%
기 3435
 
5.4%
평 3259
 
5.1%
생 2996
 
4.7%
학 2616
 
4.1%
터 2539
 
4.0%
센 2539
 
4.0%
습 2507
 
3.9%
Other values (146) 31733
50.0%
Common
ValueCountFrequency (%)
7338
88.7%
1 338
 
4.1%
2 208
 
2.5%
( 106
 
1.3%
) 106
 
1.3%
3 60
 
0.7%
5 43
 
0.5%
6 40
 
0.5%
7 20
 
0.2%
+ 7
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 63499
88.5%
ASCII 8272
 
11.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
7338
88.7%
1 338
 
4.1%
2 208
 
2.5%
( 106
 
1.3%
) 106
 
1.3%
3 60
 
0.7%
5 43
 
0.5%
6 40
 
0.5%
7 20
 
0.2%
+ 7
 
0.1%
Hangul
ValueCountFrequency (%)
시 4721
 
7.4%
도 3686
 
5.8%
경 3468
 
5.5%
기 3435
 
5.4%
평 3259
 
5.1%
생 2996
 
4.7%
학 2616
 
4.1%
터 2539
 
4.0%
센 2539
 
4.0%
습 2507
 
3.9%
Other values (146) 31733
50.0%

운영기관전화번호
Text

Distinct245
Distinct (%)3.9%
Missing0
Missing (%)0.0%
Memory size49.8 KiB
2024-05-03T19:24:50.106449image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length12.243668
Min length11

Characters and Unicode

Total characters77833
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

Unique93 ?
Unique (%)1.5%

Sample

1st row031-240-3000
2nd row031-240-3000
3rd row031-240-3000
4th row031-240-3000
5th row031-240-3000
ValueCountFrequency (%)
02-2680-2881 698
 
11.0%
031-828-2114 317
 
5.0%
031-8082-7396 259
 
4.1%
031-240-3000 251
 
3.9%
031-590-4084 235
 
3.7%
031-259-1028 214
 
3.4%
031-8082-7397 195
 
3.1%
031-8036-7830 152
 
2.4%
031-8045-6041 133
 
2.1%
031-8082-7399 120
 
1.9%
Other values (235) 3783
59.5%
2024-05-03T19:24:50.978782image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 14797
19.0%
- 12714
16.3%
3 9141
11.7%
8 8889
11.4%
1 8036
10.3%
2 6962
8.9%
6 4818
 
6.2%
7 3472
 
4.5%
4 3459
 
4.4%
5 2854
 
3.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 65119
83.7%
Dash Punctuation 12714
 
16.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 14797
22.7%
3 9141
14.0%
8 8889
13.7%
1 8036
12.3%
2 6962
10.7%
6 4818
 
7.4%
7 3472
 
5.3%
4 3459
 
5.3%
5 2854
 
4.4%
9 2691
 
4.1%
Dash Punctuation
ValueCountFrequency (%)
- 12714
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 77833
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 14797
19.0%
- 12714
16.3%
3 9141
11.7%
8 8889
11.4%
1 8036
10.3%
2 6962
8.9%
6 4818
 
6.2%
7 3472
 
4.5%
4 3459
 
4.4%
5 2854
 
3.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 77833
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 14797
19.0%
- 12714
16.3%
3 9141
11.7%
8 8889
11.4%
1 8036
10.3%
2 6962
8.9%
6 4818
 
6.2%
7 3472
 
4.5%
4 3459
 
4.4%
5 2854
 
3.7%

접수시작일자
Date

MISSING 

Distinct261
Distinct (%)4.9%
Missing994
Missing (%)15.6%
Memory size49.8 KiB
Minimum2015-02-11 00:00:00
Maximum2024-02-01 00:00:00
2024-05-03T19:24:51.310736image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-03T19:24:51.721942image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

접수종료일자
Date

MISSING 

Distinct427
Distinct (%)8.0%
Missing994
Missing (%)15.6%
Memory size49.8 KiB
Minimum2015-02-24 00:00:00
Maximum2024-03-29 00:00:00
2024-05-03T19:24:52.080963image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-03T19:24:52.344704image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

접수방법구분
Categorical

Distinct27
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size49.8 KiB
인터넷
2122 
온라인
1440 
온라인+오프라인
985 
인터넷접수+방문접수
469 
인터넷접수
267 
Other values (22)
1074 

Length

Max length13
Median length3
Mean length5.0022023
Min length2

Unique

Unique3 ?
Unique (%)< 0.1%

Sample

1st row인터넷예약및 방문접수
2nd row인터넷예약및 방문접수
3rd row인터넷예약및 방문접수
4th row인터넷예약및 방문접수
5th row인터넷예약및 방문접수

Common Values

ValueCountFrequency (%)
인터넷 2122
33.4%
온라인 1440
22.7%
온라인+오프라인 985
15.5%
인터넷접수+방문접수 469
 
7.4%
인터넷접수 267
 
4.2%
방문접수 266
 
4.2%
인터넷예약및 방문접수 251
 
3.9%
오프라인 133
 
2.1%
인터넷+방문접수 124
 
2.0%
방문 62
 
1.0%
Other values (17) 238
 
3.7%

Length

2024-05-03T19:24:52.631143image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
인터넷 2161
32.3%
온라인 1440
21.5%
온라인+오프라인 985
14.7%
방문접수 517
 
7.7%
인터넷접수+방문접수 469
 
7.0%
인터넷접수 267
 
4.0%
인터넷예약및 251
 
3.8%
오프라인 133
 
2.0%
인터넷+방문접수 124
 
1.9%
접수 76
 
1.1%
Other values (16) 261
 
3.9%

선정방법구분
Categorical

IMBALANCE 

Distinct14
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size49.8 KiB
선착순
4192 
<NA>
568 
추첨
544 
추첨+선착순
451 
선착순 접수
 
251
Other values (9)
 
351

Length

Max length22
Median length3
Mean length3.5129778
Min length2

Unique

Unique2 ?
Unique (%)< 0.1%

Sample

1st row선착순 접수
2nd row선착순 접수
3rd row선착순 접수
4th row선착순 접수
5th row선착순 접수

Common Values

ValueCountFrequency (%)
선착순 4192
65.9%
<NA> 568
 
8.9%
추첨 544
 
8.6%
추첨+선착순 451
 
7.1%
선착순 접수 251
 
3.9%
초과모집시 추첨 158
 
2.5%
컴퓨터 추첨 90
 
1.4%
승인접수 54
 
0.8%
추첨제 35
 
0.6%
승인 8
 
0.1%
Other values (4) 6
 
0.1%

Length

2024-05-03T19:24:52.980456image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
선착순 4443
64.7%
추첨 792
 
11.5%
na 568
 
8.3%
추첨+선착순 451
 
6.6%
접수 251
 
3.7%
초과모집시 158
 
2.3%
컴퓨터 90
 
1.3%
승인접수 54
 
0.8%
추첨제 35
 
0.5%
승인 8
 
0.1%
Other values (9) 12
 
0.2%

홈페이지주소
Text

MISSING 

Distinct62
Distinct (%)1.1%
Missing593
Missing (%)9.3%
Memory size49.8 KiB
2024-05-03T19:24:53.545351image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length120
Median length37
Mean length27.347328
Min length12

Characters and Unicode

Total characters157630
Distinct characters46
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique3 ?
Unique (%)0.1%

Sample

1st rowhttps://www.suwonudc.co.kr/jacc
2nd rowhttps://www.suwonudc.co.kr/jacc
3rd rowhttps://www.suwonudc.co.kr/jacc
4th rowhttps://www.suwonudc.co.kr/jacc
5th rowhttps://www.suwonudc.co.kr/jacc
ValueCountFrequency (%)
https://www.yangju.go.kr/lll/index.do 643
 
11.2%
https://woman.gm.go.kr 619
 
10.7%
sugang.ull.or.kr 606
 
10.5%
www.ull.or.kr/lifeedu/index.do 446
 
7.7%
https://www.suwonudc.co.kr/jacc 251
 
4.4%
https://dasanedu.nyj.go.kr 235
 
4.1%
lib.goe.go.kr/gglec 214
 
3.7%
https://www.gunpocf.or.kr 205
 
3.6%
https://www.pyeongtaek.go.kr/learning 158
 
2.7%
https://www.icheon.go.kr 139
 
2.4%
Other values (52) 2248
39.0%
2024-05-03T19:24:54.353852image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
. 18938
 
12.0%
/ 14501
 
9.2%
g 10734
 
6.8%
o 9990
 
6.3%
w 8780
 
5.6%
t 8451
 
5.4%
r 8041
 
5.1%
n 7890
 
5.0%
l 7280
 
4.6%
k 6006
 
3.8%
Other values (36) 57019
36.2%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 118344
75.1%
Other Punctuation 37648
 
23.9%
Decimal Number 800
 
0.5%
Uppercase Letter 708
 
0.4%
Math Symbol 90
 
0.1%
Dash Punctuation 40
 
< 0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
g 10734
 
9.1%
o 9990
 
8.4%
w 8780
 
7.4%
t 8451
 
7.1%
r 8041
 
6.8%
n 7890
 
6.7%
l 7280
 
6.2%
k 6006
 
5.1%
e 5597
 
4.7%
s 5420
 
4.6%
Other values (14) 40155
33.9%
Decimal Number
ValueCountFrequency (%)
1 284
35.5%
0 210
26.2%
3 85
 
10.6%
2 84
 
10.5%
5 43
 
5.4%
6 40
 
5.0%
4 34
 
4.2%
7 20
 
2.5%
Other Punctuation
ValueCountFrequency (%)
. 18938
50.3%
/ 14501
38.5%
: 3909
 
10.4%
; 210
 
0.6%
& 60
 
0.2%
? 30
 
0.1%
Uppercase Letter
ValueCountFrequency (%)
W 251
35.5%
L 146
20.6%
D 133
18.8%
M 118
16.7%
I 30
 
4.2%
K 30
 
4.2%
Math Symbol
ValueCountFrequency (%)
= 90
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 40
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 119052
75.5%
Common 38578
 
24.5%

Most frequent character per script

Latin
ValueCountFrequency (%)
g 10734
 
9.0%
o 9990
 
8.4%
w 8780
 
7.4%
t 8451
 
7.1%
r 8041
 
6.8%
n 7890
 
6.6%
l 7280
 
6.1%
k 6006
 
5.0%
e 5597
 
4.7%
s 5420
 
4.6%
Other values (20) 40863
34.3%
Common
ValueCountFrequency (%)
. 18938
49.1%
/ 14501
37.6%
: 3909
 
10.1%
1 284
 
0.7%
0 210
 
0.5%
; 210
 
0.5%
= 90
 
0.2%
3 85
 
0.2%
2 84
 
0.2%
& 60
 
0.2%
Other values (6) 207
 
0.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 157630
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 18938
 
12.0%
/ 14501
 
9.2%
g 10734
 
6.8%
o 9990
 
6.3%
w 8780
 
5.6%
t 8451
 
5.4%
r 8041
 
5.1%
n 7890
 
5.0%
l 7280
 
4.6%
k 6006
 
3.8%
Other values (36) 57019
36.2%

직업능력개발훈련비지원강좌여부
Boolean

IMBALANCE  MISSING 

Distinct2
Distinct (%)< 0.1%
Missing1983
Missing (%)31.2%
Memory size12.5 KiB
False
4373 
True
 
1
(Missing)
1983 
ValueCountFrequency (%)
False 4373
68.8%
True 1
 
< 0.1%
(Missing) 1983
31.2%
2024-05-03T19:24:54.864845image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

학점은행제평가(학점)인정여부
Boolean

IMBALANCE  MISSING 

Distinct2
Distinct (%)< 0.1%
Missing1983
Missing (%)31.2%
Memory size12.5 KiB
False
4300 
True
 
74
(Missing)
1983 
ValueCountFrequency (%)
False 4300
67.6%
True 74
 
1.2%
(Missing) 1983
31.2%
2024-05-03T19:24:55.340370image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

평생학습계좌제평가인정여부
Boolean

IMBALANCE  MISSING 

Distinct2
Distinct (%)< 0.1%
Missing1983
Missing (%)31.2%
Memory size12.5 KiB
False
4287 
True
 
87
(Missing)
1983 
ValueCountFrequency (%)
False 4287
67.4%
True 87
 
1.4%
(Missing) 1983
31.2%
2024-05-03T19:24:55.662824image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

데이터기준일자
Date

Distinct28
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size49.8 KiB
Minimum2018-05-20 00:00:00
Maximum2024-02-26 00:00:00
2024-05-03T19:24:55.974538image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-03T19:24:56.390378image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=28)

Sample

강좌명강사명교육시작일자교육종료일자교육시작시각교육종료시각강좌내용교육대상구분교육방법구분운영요일교육장소강좌정원수수강료교육장도로명주소운영기관명운영기관전화번호접수시작일자접수종료일자접수방법구분선정방법구분홈페이지주소직업능력개발훈련비지원강좌여부학점은행제평가(학점)인정여부평생학습계좌제평가인정여부데이터기준일자
0점핑클레이랑 쿠키랑 (A)<NA>2018-03-022018-05-1815:3016:20색 배합과 조화를 익히고 기본도형을 익힌다5~7세오프라인금장안구민회관1254000경기도 수원시 장안구 송원로 101수원도시공사031-240-30002018-04-302018-05-26인터넷예약및 방문접수선착순 접수https://www.suwonudc.co.kr/jaccNNN2018-05-20
1점핑클레이랑 쿠키랑 (B)<NA>2018-03-022018-05-1816:3017:20색 배합과 조화를 익히고 기본도형을 익힌다6~7세오프라인금장안구민회관1254000경기도 수원시 장안구 송원로 101수원도시공사031-240-30002018-04-302018-05-26인터넷예약및 방문접수선착순 접수https://www.suwonudc.co.kr/jaccNNN2018-05-20
2감각을 키우는 미술(A)<NA>2018-03-032018-05-2610:0010:50다양한 미술 재료로 여러 주제의 미술 경험을 함으로써 상상력과 창의력을 배양하고 표현하게 하는 강좌5~6세오프라인토장안구민회관1554000경기도 수원시 장안구 송원로 101수원도시공사031-240-30002018-04-302018-05-26인터넷예약및 방문접수선착순 접수https://www.suwonudc.co.kr/jaccNNN2018-05-20
3감각을 키우는 미술(B)<NA>2018-03-032018-05-2611:0011:50다양한 미술 재료로 여러 주제의 미술 경험을 함으로써 상상력과 창의력을 배양하고 표현하게 하는 강좌6~7세오프라인토장안구민회관1554000경기도 수원시 장안구 송원로 101수원도시공사031-240-30002018-04-302018-05-26인터넷예약및 방문접수선착순 접수https://www.suwonudc.co.kr/jaccNNN2018-05-20
4감각을 키우는 미술(C)<NA>2018-03-032018-05-2612:0012:50다양한 미술 재료로 여러 주제의 미술 경험을 함으로써 상상력과 창의력을 배양하고 표현하게 하는 강좌7세~초등1오프라인토장안구민회관1554000경기도 수원시 장안구 송원로 101수원도시공사031-240-30002018-04-302018-05-26인터넷예약및 방문접수선착순 접수https://www.suwonudc.co.kr/jaccNNN2018-05-20
5클레이&amp;쿠키<NA>2018-03-032018-05-2611:0011:50색을 섞고 만드는 과정에서 색채감각과 소근육 발달6~7세오프라인토장안구민회관1854000경기도 수원시 장안구 송원로 101수원도시공사031-240-30002018-04-302018-05-26인터넷예약및 방문접수선착순 접수https://www.suwonudc.co.kr/jaccNNN2018-05-20
6교구로 배우는 놀이수학 플레이팩토 (시작)<NA>2018-03-052018-05-2815:4016:30과기반 교구를 활용하여 쉽고 재미있게 수학적 개념을 터득한다.6~7세오프라인월장안구민회관1254000경기도 수원시 장안구 송원로 101수원도시공사031-240-30002018-04-302018-05-26인터넷예약및 방문접수선착순 접수https://www.suwonudc.co.kr/jaccNNN2018-05-20
7교구로 배우는 놀이수학 플레이팩토 (계속)<NA>2018-03-052018-05-2816:4017:30과기반 교구를 활용하여 쉽고 재미있게 수학적 개념을 터득한다.6~7세오프라인월장안구민회관1254000경기도 수원시 장안구 송원로 101수원도시공사031-240-30002018-04-302018-05-26인터넷예약및 방문접수선착순 접수https://www.suwonudc.co.kr/jaccNNN2018-05-20
8창의 종이접기<NA>2018-03-062018-05-2916:3017:20종이를 이용한 소품만들기6~7세오프라인화장안구민회관1554000경기도 수원시 장안구 송원로 101수원도시공사031-240-30002018-04-302018-05-26인터넷예약및 방문접수선착순 접수https://www.suwonudc.co.kr/jaccNNN2018-05-20
9중국어(중급)<NA>2023-01-082023-04-2609:3011:30입문 수준 중국어 표현을 익혀, 중국인과 의사소통18세이상 안양 시민 및 관내 직장인오프라인월수평생학습센터2080000경기도 안양시 만안구 냉천로 39경기도 안양시 만안평생교육센터031-8045-6064<NA><NA>인터넷추첨learning.anyang.go.kr/MWNNN2023-12-26
강좌명강사명교육시작일자교육종료일자교육시작시각교육종료시각강좌내용교육대상구분교육방법구분운영요일교육장소강좌정원수수강료교육장도로명주소운영기관명운영기관전화번호접수시작일자접수종료일자접수방법구분선정방법구분홈페이지주소직업능력개발훈련비지원강좌여부학점은행제평가(학점)인정여부평생학습계좌제평가인정여부데이터기준일자
6347클리닉 수학 (B)<NA>2018-03-022018-05-1817:0017:50수학의 기본적인 원리와 법칙을 이해한다7세~초6오프라인금장안구민회관880000경기도 수원시 장안구 송원로 101수원도시공사031-240-30002018-04-302018-05-26인터넷예약및 방문접수선착순 접수https://www.suwonudc.co.kr/jaccNNN2018-05-20
6348노래교실<NA>2023-01-022023-04-19<NA><NA>건전한 여가시간을 활용해서 즐거움과 웃음이 묻어나는 노래교실성인오프라인<NA><NA>7560000경기도 오산시 경기대로 307 중앙동행정복지센터 1층 데강당경기도 오산시 중앙동 행정복지센터031-8036-6200<NA><NA>온라인<NA><NA><NA><NA><NA>2023-08-14
6349(초등4~중학생)드럼중급교실<NA>2023-03-312023-06-16<NA><NA>(초등4~중학생)드럼중급교실성인+아동오프라인<NA><NA>100경기도 오산시 경기대로 102-25 소리울도서관 두드림홀경기도 오산시 소리울도서관031-8036-6670<NA><NA>온라인<NA><NA><NA><NA><NA>2023-08-14
6350코딩 여행을 떠나요~<NA>2023-03-222023-05-24<NA><NA>컴퓨터 프로그램 코딩아동오프라인<NA><NA>100경기도 오산시 수청로 142 죽미마을휴먼시아10단지아파트 내 평생학습관, 2강의실경기도 오산시 평생학습관031-8036-7830<NA><NA>온라인<NA><NA><NA><NA><NA>2023-08-14
6351(고등학생~성인)드럼초중급교실<NA>2023-03-292023-06-14<NA><NA>(고등학생~성인)드럼초중급교실성인+아동오프라인<NA><NA>120경기도 오산시 경기대로 102-25 소리울도서관 두드림홀경기도 오산시 소리울도서관031-8036-6670<NA><NA>온라인<NA><NA><NA><NA><NA>2023-08-14
6352교과서가 쉬워지는 초등 맛보기 한국사<NA>2023-05-022023-07-11<NA><NA>백년동행시민대학 물음표학교 학습살롱은 유네스코지속가능발전교육(ESD)공식프로젝트로 학습살롱PM(시민활동가)이 시민 맞춤형 평생교육 프로그램을 기획하고, 운영하는 프로젝트입니다.한국사를 어렵게 생각하는 청소년을 위한 ‘맛보기 한국사’ 수업으로 우리 역사의 기초 배경지식이 되는 등장 인물, 사건, 제도와 문화재 등을 스토리텔링으로 한국사의 쉬운 접근을 유도하기 위한 수업입니다. 선사 시대에서 조선 전기까지 우리 역사의 전근대에 등장하는 인물과 사건, 제도와 문화재를 스토리텔링으로 풀어가며 한국사의 쉬운 접근을 돕습니다. 이를 토대로 그에 해당하는 시대상을 이해하여 한국사 능력 검정 시험 준비에 필요한 기초 소양을 쌓고 중고등학년 진학 후 접하는 문학 및 비문학 독서의 기반을 마련할 수 있도록 돕습니다.&amp;lt;주교재 : EBS 초등 고학년을 위한 스토리 한국사1&amp;gt;** 주교재는 개별 구매 가능합니다. (단,부교재비 5,000원 강사님께 제출)** 명시된 재료비 15,000 원은 주교재 (10,000원예상)와 부교재아동오프라인<NA><NA>100경기도 오산시 오산로 347 1층 이음작은영어도서관경기도 오산시 평생학습관031-8036-7830<NA><NA>온라인<NA><NA><NA><NA><NA>2023-08-14
6353[북부] (주말)댄스스포츠<NA>2024-01-082024-04-2710:0012:00댄스스포츠 강좌지역주민+성인오프라인토평택시 평생학습센터2040000경기도 평택시 이충로 84-6평택시 평생학습센터031-8024-74312023-12-042023-12-12인터넷초과모집시 추첨https://www.pyeongtaek.go.kr/learning/NNN2023-12-04
6354[북부] 가야금<NA>2024-01-082024-04-2709:3011:30가야금 강좌지역주민+성인오프라인화+목평택시 평생학습센터2064000경기도 평택시 이충로 84-6평택시 평생학습센터031-8024-74312023-12-042023-12-12인터넷초과모집시 추첨https://www.pyeongtaek.go.kr/learning/NNN2023-12-04
6355독서논술지도사(2급)<NA>2024-01-222024-12-13<NA><NA>독서논술지도사 1급 자격증 취득 과정지역주민+성인오프라인월용인시 평생학습관1645000경기도 용인시 수지구 문정로 7번길 15용인시 평생학습관031-324-8985<NA><NA>인터넷추첨http://lll.yongin.go.kr<NA><NA><NA>2024-01-22
6356[스크린영어]바람과 함께 사라지다<NA>2023-08-242023-12-1510:0012:00[스크린영어]바람과 함께 사라지다만 19세 이상 여주시민오프라인목요일여주시 여성회관 4강의실2044000경기도 여주시 신륵사길 6-6경기도 여주시청031-887-33222023-08-072023-08-16인터넷+방문 접수선착순lll.yeoju.go.krNNN2023-11-15