Overview

Dataset statistics

Number of variables27
Number of observations10000
Missing cells14404
Missing cells (%)5.3%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory2.1 MiB
Average record size in memory225.0 B

Variable types

Text15
DateTime7
Categorical4
Numeric1

Dataset

Description공공데이터 제공 표준데이터 속성정보(허용값, 표현형식/단위 등)는 [공공데이터 제공 표준] 전문을 참고하시기 바랍니다.(공공데이터포털>정보공유>자료실) 각 기관에서 등록한 표준데이터를 취합하여 제공하기 때문에 갱신주기는 개별 파일마다 다릅니다.(기관에서 등록한 데이터를 취합한 것으로 개별 파일별 갱신시점이 다름)
Author지방자치단체, 교육청
URLhttps://www.data.go.kr/data/15013110/standard.do

Alerts

교육방법구분 is highly imbalanced (61.9%)Imbalance
직업능력개발훈련비지원강좌여부 is highly imbalanced (52.8%)Imbalance
학점은행제평가(학점)인정여부 is highly imbalanced (53.8%)Imbalance
교육시작시각 has 2187 (21.9%) missing valuesMissing
교육종료시각 has 2187 (21.9%) missing valuesMissing
운영요일 has 1726 (17.3%) missing valuesMissing
교육장소 has 540 (5.4%) missing valuesMissing
접수시작일자 has 2120 (21.2%) missing valuesMissing
접수종료일자 has 2147 (21.5%) missing valuesMissing
선정방법구분 has 1994 (19.9%) missing valuesMissing
홈페이지주소 has 1503 (15.0%) missing valuesMissing
강좌정원수 is highly skewed (γ1 = 99.92996436)Skewed
강좌정원수 has 328 (3.3%) zerosZeros

Reproduction

Analysis started2024-05-18 08:31:52.187861
Analysis finished2024-05-18 08:31:59.227318
Duration7.04 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

강좌명
Text

Distinct8606
Distinct (%)86.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2024-05-18T17:31:59.856541image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length100
Median length63
Mean length14.947
Min length2

Characters and Unicode

Total characters149470
Distinct characters1131
Distinct categories17 ?
Distinct scripts4 ?
Distinct blocks11 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique7966 ?
Unique (%)79.7%

Sample

1st row건강운동
2nd row [아트센터달](1:1레슨)프리미엄 가곡 개인레슨(30분)(송민태선생님)
3rd row일본어초급(야간)
4th row기초 유화
5th row노래교실
ValueCountFrequency (%)
544
 
1.9%
만들기 213
 
0.7%
2급 159
 
0.5%
위한 158
 
0.5%
배우는 150
 
0.5%
스마트폰 116
 
0.4%
1 111
 
0.4%
자격증 104
 
0.4%
초급 103
 
0.4%
기초 102
 
0.3%
Other values (12404) 27516
94.0%
2024-05-18T17:32:01.028202image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
19368
 
13.0%
) 3620
 
2.4%
( 3599
 
2.4%
기 2684
 
1.8%
2 1893
 
1.3%
스 1833
 
1.2%
이 1789
 
1.2%
리 1771
 
1.2%
1 1747
 
1.2%
] 1664
 
1.1%
Other values (1121) 109502
73.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 102647
68.7%
Space Separator 19368
 
13.0%
Decimal Number 6932
 
4.6%
Close Punctuation 5309
 
3.6%
Open Punctuation 5288
 
3.5%
Lowercase Letter 3119
 
2.1%
Uppercase Letter 2969
 
2.0%
Other Punctuation 2012
 
1.3%
Dash Punctuation 883
 
0.6%
Math Symbol 473
 
0.3%
Other values (7) 470
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
기 2684
 
2.6%
스 1833
 
1.8%
이 1789
 
1.7%
리 1771
 
1.7%
어 1378
 
1.3%
사 1375
 
1.3%
는 1243
 
1.2%
인 1192
 
1.2%
급 1145
 
1.1%
초 1139
 
1.1%
Other values (1010) 87098
84.9%
Uppercase Letter
ValueCountFrequency (%)
A 362
12.2%
D 259
 
8.7%
T 257
 
8.7%
P 244
 
8.2%
B 229
 
7.7%
S 198
 
6.7%
I 165
 
5.6%
H 152
 
5.1%
C 134
 
4.5%
N 96
 
3.2%
Other values (16) 873
29.4%
Lowercase Letter
ValueCountFrequency (%)
e 444
14.2%
a 313
10.0%
t 313
10.0%
r 250
 
8.0%
o 240
 
7.7%
n 210
 
6.7%
i 182
 
5.8%
s 160
 
5.1%
l 144
 
4.6%
h 123
 
3.9%
Other values (15) 740
23.7%
Other Punctuation
ValueCountFrequency (%)
, 530
26.3%
/ 431
21.4%
: 394
19.6%
& 262
13.0%
. 238
11.8%
! 63
 
3.1%
? 41
 
2.0%
· 32
 
1.6%
" 14
 
0.7%
# 3
 
0.1%
Other values (3) 4
 
0.2%
Decimal Number
ValueCountFrequency (%)
2 1893
27.3%
1 1747
25.2%
0 1107
16.0%
3 688
 
9.9%
4 352
 
5.1%
6 321
 
4.6%
5 291
 
4.2%
8 224
 
3.2%
7 183
 
2.6%
9 126
 
1.8%
Math Symbol
ValueCountFrequency (%)
~ 203
42.9%
+ 112
23.7%
< 77
 
16.3%
> 77
 
16.3%
× 2
 
0.4%
～ 1
 
0.2%
∼ 1
 
0.2%
Close Punctuation
ValueCountFrequency (%)
) 3620
68.2%
] 1664
31.3%
」 16
 
0.3%
』 8
 
0.2%
】 1
 
< 0.1%
Open Punctuation
ValueCountFrequency (%)
( 3599
68.1%
[ 1664
31.5%
「 16
 
0.3%
『 8
 
0.2%
【 1
 
< 0.1%
Other Symbol
ValueCountFrequency (%)
★ 88
88.0%
♬ 7
 
7.0%
ⓒ 2
 
2.0%
ⓑ 2
 
2.0%
㈜ 1
 
1.0%
Other Number
ValueCountFrequency (%)
② 5
45.5%
④ 2
 
18.2%
① 2
 
18.2%
③ 2
 
18.2%
Letter Number
ValueCountFrequency (%)
Ⅰ 36
56.2%
Ⅱ 26
40.6%
Ⅳ 2
 
3.1%
Final Punctuation
ValueCountFrequency (%)
’ 34
82.9%
” 7
 
17.1%
Initial Punctuation
ValueCountFrequency (%)
‘ 12
63.2%
“ 7
36.8%
Space Separator
ValueCountFrequency (%)
19368
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 883
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 233
100.0%
Modifier Symbol
ValueCountFrequency (%)
` 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 102611
68.6%
Common 40670
 
27.2%
Latin 6152
 
4.1%
Han 37
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
기 2684
 
2.6%
스 1833
 
1.8%
이 1789
 
1.7%
리 1771
 
1.7%
어 1378
 
1.3%
사 1375
 
1.3%
는 1243
 
1.2%
인 1192
 
1.2%
급 1145
 
1.1%
초 1139
 
1.1%
Other values (983) 87062
84.8%
Common
ValueCountFrequency (%)
19368
47.6%
) 3620
 
8.9%
( 3599
 
8.8%
2 1893
 
4.7%
1 1747
 
4.3%
] 1664
 
4.1%
[ 1664
 
4.1%
0 1107
 
2.7%
- 883
 
2.2%
3 688
 
1.7%
Other values (46) 4437
 
10.9%
Latin
ValueCountFrequency (%)
e 444
 
7.2%
A 362
 
5.9%
a 313
 
5.1%
t 313
 
5.1%
D 259
 
4.2%
T 257
 
4.2%
r 250
 
4.1%
P 244
 
4.0%
o 240
 
3.9%
B 229
 
3.7%
Other values (44) 3241
52.7%
Han
ValueCountFrequency (%)
茶 3
 
8.1%
理 3
 
8.1%
定 2
 
5.4%
論 2
 
5.4%
新 2
 
5.4%
石 2
 
5.4%
命 2
 
5.4%
茶 1
 
2.7%
道 1
 
2.7%
衣 1
 
2.7%
Other values (18) 18
48.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 102609
68.6%
ASCII 46499
31.1%
Misc Symbols 95
 
0.1%
None 89
 
0.1%
Number Forms 64
 
< 0.1%
Punctuation 60
 
< 0.1%
CJK 34
 
< 0.1%
Enclosed Alphanum 15
 
< 0.1%
CJK Compat Ideographs 3
 
< 0.1%
Compat Jamo 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
19368
41.7%
) 3620
 
7.8%
( 3599
 
7.7%
2 1893
 
4.1%
1 1747
 
3.8%
] 1664
 
3.6%
[ 1664
 
3.6%
0 1107
 
2.4%
- 883
 
1.9%
3 688
 
1.5%
Other values (73) 10266
22.1%
Hangul
ValueCountFrequency (%)
기 2684
 
2.6%
스 1833
 
1.8%
이 1789
 
1.7%
리 1771
 
1.7%
어 1378
 
1.3%
사 1375
 
1.3%
는 1243
 
1.2%
인 1192
 
1.2%
급 1145
 
1.1%
초 1139
 
1.1%
Other values (981) 87060
84.8%
Misc Symbols
ValueCountFrequency (%)
★ 88
92.6%
♬ 7
 
7.4%
Number Forms
ValueCountFrequency (%)
Ⅰ 36
56.2%
Ⅱ 26
40.6%
Ⅳ 2
 
3.1%
Punctuation
ValueCountFrequency (%)
’ 34
56.7%
‘ 12
 
20.0%
“ 7
 
11.7%
” 7
 
11.7%
None
ValueCountFrequency (%)
· 32
36.0%
「 16
18.0%
」 16
18.0%
『 8
 
9.0%
』 8
 
9.0%
＂ 2
 
2.2%
× 2
 
2.2%
㈜ 1
 
1.1%
～ 1
 
1.1%
【 1
 
1.1%
Other values (2) 2
 
2.2%
Enclosed Alphanum
ValueCountFrequency (%)
② 5
33.3%
④ 2
 
13.3%
① 2
 
13.3%
ⓒ 2
 
13.3%
ⓑ 2
 
13.3%
③ 2
 
13.3%
CJK
ValueCountFrequency (%)
茶 3
 
8.8%
理 3
 
8.8%
定 2
 
5.9%
新 2
 
5.9%
石 2
 
5.9%
命 2
 
5.9%
道 1
 
2.9%
衣 1
 
2.9%
室 1
 
2.9%
裁 1
 
2.9%
Other values (16) 16
47.1%
CJK Compat Ideographs
ValueCountFrequency (%)
論 2
66.7%
茶 1
33.3%
Compat Jamo
ValueCountFrequency (%)
ㆍ 1
100.0%
Math Operators
ValueCountFrequency (%)
∼ 1
100.0%

강사명
Text

Distinct5237
Distinct (%)52.4%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2024-05-18T17:32:01.643941image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length25
Median length3
Mean length3.7935
Min length2

Characters and Unicode

Total characters37935
Distinct characters532
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

Unique3511 ?
Unique (%)35.1%

Sample

1st row건강운동
2nd row칠금평생교육원
3rd row정해란
4th row음미영
5th row김은미
ValueCountFrequency (%)
휴넷 223
 
2.1%
대구온라인클래스 105
 
1.0%
아트센터달 102
 
1.0%
에듀라임 100
 
0.9%
외 77
 
0.7%
계명대학교 74
 
0.7%
계명시민교육원 74
 
0.7%
국립국악원 57
 
0.5%
대구시행복진흥사회서비스원 46
 
0.4%
대구평생교육진흥원 46
 
0.4%
Other values (5381) 9633
91.4%
2024-05-18T17:32:02.664484image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
김 1891
 
5.0%
이 1512
 
4.0%
정 1307
 
3.4%
영 984
 
2.6%
희 911
 
2.4%
미 828
 
2.2%
박 739
 
1.9%
경 694
 
1.8%
진 650
 
1.7%
원 632
 
1.7%
Other values (522) 27787
73.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 36147
95.3%
Space Separator 547
 
1.4%
Uppercase Letter 364
 
1.0%
Lowercase Letter 219
 
0.6%
Math Symbol 187
 
0.5%
Open Punctuation 153
 
0.4%
Close Punctuation 150
 
0.4%
Decimal Number 108
 
0.3%
Other Punctuation 55
 
0.1%
Other Symbol 3
 
< 0.1%
Other values (2) 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
김 1891
 
5.2%
이 1512
 
4.2%
정 1307
 
3.6%
영 984
 
2.7%
희 911
 
2.5%
미 828
 
2.3%
박 739
 
2.0%
경 694
 
1.9%
진 650
 
1.8%
원 632
 
1.7%
Other values (457) 25999
71.9%
Uppercase Letter
ValueCountFrequency (%)
C 64
17.6%
M 58
15.9%
B 53
14.6%
A 38
10.4%
S 25
 
6.9%
N 18
 
4.9%
O 18
 
4.9%
K 14
 
3.8%
T 13
 
3.6%
E 10
 
2.7%
Other values (13) 53
14.6%
Lowercase Letter
ValueCountFrequency (%)
a 31
14.2%
i 28
12.8%
n 26
11.9%
r 18
8.2%
e 18
8.2%
l 16
7.3%
s 15
6.8%
t 10
 
4.6%
y 10
 
4.6%
o 10
 
4.6%
Other values (8) 37
16.9%
Decimal Number
ValueCountFrequency (%)
1 31
28.7%
2 24
22.2%
3 11
 
10.2%
4 11
 
10.2%
5 10
 
9.3%
7 9
 
8.3%
6 6
 
5.6%
9 3
 
2.8%
0 2
 
1.9%
8 1
 
0.9%
Other Punctuation
ValueCountFrequency (%)
, 38
69.1%
* 9
 
16.4%
. 5
 
9.1%
/ 3
 
5.5%
Math Symbol
ValueCountFrequency (%)
+ 186
99.5%
~ 1
 
0.5%
Open Punctuation
ValueCountFrequency (%)
( 152
99.3%
[ 1
 
0.7%
Close Punctuation
ValueCountFrequency (%)
) 149
99.3%
] 1
 
0.7%
Space Separator
ValueCountFrequency (%)
547
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 3
100.0%
Final Punctuation
ValueCountFrequency (%)
’ 1
100.0%
Initial Punctuation
ValueCountFrequency (%)
‘ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 36150
95.3%
Common 1202
 
3.2%
Latin 583
 
1.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
김 1891
 
5.2%
이 1512
 
4.2%
정 1307
 
3.6%
영 984
 
2.7%
희 911
 
2.5%
미 828
 
2.3%
박 739
 
2.0%
경 694
 
1.9%
진 650
 
1.8%
원 632
 
1.7%
Other values (458) 26002
71.9%
Latin
ValueCountFrequency (%)
C 64
 
11.0%
M 58
 
9.9%
B 53
 
9.1%
A 38
 
6.5%
a 31
 
5.3%
i 28
 
4.8%
n 26
 
4.5%
S 25
 
4.3%
r 18
 
3.1%
N 18
 
3.1%
Other values (31) 224
38.4%
Common
ValueCountFrequency (%)
547
45.5%
+ 186
 
15.5%
( 152
 
12.6%
) 149
 
12.4%
, 38
 
3.2%
1 31
 
2.6%
2 24
 
2.0%
3 11
 
0.9%
4 11
 
0.9%
5 10
 
0.8%
Other values (13) 43
 
3.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 36146
95.3%
ASCII 1783
 
4.7%
None 3
 
< 0.1%
Punctuation 2
 
< 0.1%
Compat Jamo 1
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
김 1891
 
5.2%
이 1512
 
4.2%
정 1307
 
3.6%
영 984
 
2.7%
희 911
 
2.5%
미 828
 
2.3%
박 739
 
2.0%
경 694
 
1.9%
진 650
 
1.8%
원 632
 
1.7%
Other values (456) 25998
71.9%
ASCII
ValueCountFrequency (%)
547
30.7%
+ 186
 
10.4%
( 152
 
8.5%
) 149
 
8.4%
C 64
 
3.6%
M 58
 
3.3%
B 53
 
3.0%
, 38
 
2.1%
A 38
 
2.1%
1 31
 
1.7%
Other values (52) 467
26.2%
None
ValueCountFrequency (%)
㈜ 3
100.0%
Punctuation
ValueCountFrequency (%)
’ 1
50.0%
‘ 1
50.0%
Compat Jamo
ValueCountFrequency (%)
ㆍ 1
100.0%

교육시작일자
Date

Distinct1007
Distinct (%)10.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
Minimum2015-02-11 00:00:00
Maximum2024-12-05 00:00:00
2024-05-18T17:32:02.949006image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T17:32:03.206332image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

교육종료일자
Date

Distinct1088
Distinct (%)10.9%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
Minimum2015-02-24 00:00:00
Maximum2025-02-28 00:00:00
2024-05-18T17:32:03.507746image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T17:32:03.873491image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

교육시작시각
Date

MISSING 

Distinct79
Distinct (%)1.0%
Missing2187
Missing (%)21.9%
Memory size156.2 KiB
Minimum2024-05-18 00:00:00
Maximum2024-05-18 21:00:00
2024-05-18T17:32:04.129376image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T17:32:04.556893image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

교육종료시각
Date

MISSING 

Distinct95
Distinct (%)1.2%
Missing2187
Missing (%)21.9%
Memory size156.2 KiB
Minimum2024-05-18 00:00:00
Maximum2024-05-18 23:59:00
2024-05-18T17:32:04.875975image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T17:32:05.134812image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

강좌내용
Text

Distinct7017
Distinct (%)70.2%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2024-05-18T17:32:05.629483image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length512
Median length423
Mean length21.1046
Min length2

Characters and Unicode

Total characters211046
Distinct characters1129
Distinct categories16 ?
Distinct scripts4 ?
Distinct blocks13 ?
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 row건강운동
2nd row [아트센터달](1:1레슨)프리미엄 가곡 개인레슨(30분)(송민태선생님) 강좌
3rd row일본어
4th row유화 그리기 기초
5th row대중가요 익힘
ValueCountFrequency (%)
및 862
 
1.7%
강좌 832
 
1.7%
587
 
1.2%
만들기 470
 
1.0%
등 435
 
0.9%
다양한 367
 
0.7%
수 367
 
0.7%
교육 319
 
0.6%
기초 318
 
0.6%
배우기 310
 
0.6%
Other values (14362) 44571
90.2%
2024-05-18T17:32:06.482952image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
39811
 
18.9%
기 4825
 
2.3%
이 2685
 
1.3%
한 2576
 
1.2%
을 2513
 
1.2%
의 2299
 
1.1%
강 2202
 
1.0%
, 1981
 
0.9%
로 1943
 
0.9%
리 1824
 
0.9%
Other values (1119) 148387
70.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 155614
73.7%
Space Separator 39811
 
18.9%
Other Punctuation 4489
 
2.1%
Decimal Number 3941
 
1.9%
Close Punctuation 2001
 
0.9%
Open Punctuation 1994
 
0.9%
Uppercase Letter 1146
 
0.5%
Lowercase Letter 813
 
0.4%
Math Symbol 633
 
0.3%
Dash Punctuation 367
 
0.2%
Other values (6) 237
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
기 4825
 
3.1%
이 2685
 
1.7%
한 2576
 
1.7%
을 2513
 
1.6%
의 2299
 
1.5%
강 2202
 
1.4%
로 1943
 
1.2%
리 1824
 
1.2%
는 1788
 
1.1%
수 1765
 
1.1%
Other values (1007) 131194
84.3%
Uppercase Letter
ValueCountFrequency (%)
P 128
11.2%
T 114
 
9.9%
S 104
 
9.1%
A 103
 
9.0%
I 95
 
8.3%
D 82
 
7.2%
C 62
 
5.4%
E 55
 
4.8%
O 53
 
4.6%
M 48
 
4.2%
Other values (16) 302
26.4%
Lowercase Letter
ValueCountFrequency (%)
e 86
 
10.6%
o 83
 
10.2%
t 80
 
9.8%
a 72
 
8.9%
r 54
 
6.6%
i 51
 
6.3%
s 47
 
5.8%
h 40
 
4.9%
l 39
 
4.8%
n 39
 
4.8%
Other values (15) 222
27.3%
Other Punctuation
ValueCountFrequency (%)
, 1981
44.1%
. 971
21.6%
/ 605
 
13.5%
: 502
 
11.2%
& 145
 
3.2%
* 78
 
1.7%
! 63
 
1.4%
· 52
 
1.2%
， 43
 
1.0%
? 22
 
0.5%
Other values (6) 27
 
0.6%
Decimal Number
ValueCountFrequency (%)
0 1048
26.6%
1 828
21.0%
2 721
18.3%
3 365
 
9.3%
4 233
 
5.9%
5 209
 
5.3%
6 180
 
4.6%
8 163
 
4.1%
7 127
 
3.2%
9 67
 
1.7%
Math Symbol
ValueCountFrequency (%)
+ 350
55.3%
> 128
 
20.2%
~ 128
 
20.2%
< 18
 
2.8%
∨ 3
 
0.5%
× 3
 
0.5%
⇒ 2
 
0.3%
| 1
 
0.2%
Other Symbol
ValueCountFrequency (%)
○ 28
45.2%
★ 21
33.9%
♬ 7
 
11.3%
◆ 4
 
6.5%
㈜ 1
 
1.6%
♡ 1
 
1.6%
Close Punctuation
ValueCountFrequency (%)
) 1539
76.9%
] 458
 
22.9%
」 3
 
0.1%
』 1
 
< 0.1%
Open Punctuation
ValueCountFrequency (%)
( 1533
76.9%
[ 457
 
22.9%
「 3
 
0.2%
『 1
 
0.1%
Other Number
ValueCountFrequency (%)
① 14
45.2%
② 14
45.2%
③ 3
 
9.7%
Letter Number
ValueCountFrequency (%)
Ⅰ 12
52.2%
Ⅱ 9
39.1%
Ⅳ 2
 
8.7%
Final Punctuation
ValueCountFrequency (%)
’ 34
73.9%
” 12
 
26.1%
Initial Punctuation
ValueCountFrequency (%)
‘ 23
67.6%
“ 11
32.4%
Space Separator
ValueCountFrequency (%)
39811
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 367
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 41
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 155590
73.7%
Common 53449
 
25.3%
Latin 1982
 
0.9%
Han 25
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
기 4825
 
3.1%
이 2685
 
1.7%
한 2576
 
1.7%
을 2513
 
1.6%
의 2299
 
1.5%
강 2202
 
1.4%
로 1943
 
1.2%
리 1824
 
1.2%
는 1788
 
1.1%
수 1765
 
1.1%
Other values (989) 131170
84.3%
Common
ValueCountFrequency (%)
39811
74.5%
, 1981
 
3.7%
) 1539
 
2.9%
( 1533
 
2.9%
0 1048
 
2.0%
. 971
 
1.8%
1 828
 
1.5%
2 721
 
1.3%
/ 605
 
1.1%
: 502
 
0.9%
Other values (47) 3910
 
7.3%
Latin
ValueCountFrequency (%)
P 128
 
6.5%
T 114
 
5.8%
S 104
 
5.2%
A 103
 
5.2%
I 95
 
4.8%
e 86
 
4.3%
o 83
 
4.2%
D 82
 
4.1%
t 80
 
4.0%
a 72
 
3.6%
Other values (44) 1035
52.2%
Han
ValueCountFrequency (%)
茶 2
 
8.0%
論 2
 
8.0%
我 2
 
8.0%
定 2
 
8.0%
新 2
 
8.0%
石 2
 
8.0%
茶 1
 
4.0%
道 1
 
4.0%
想 1
 
4.0%
冥 1
 
4.0%
Other values (9) 9
36.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 155586
73.7%
ASCII 55118
 
26.1%
None 110
 
0.1%
Punctuation 84
 
< 0.1%
Geometric Shapes 32
 
< 0.1%
Enclosed Alphanum 31
 
< 0.1%
Misc Symbols 29
 
< 0.1%
Number Forms 23
 
< 0.1%
CJK 22
 
< 0.1%
Math Operators 3
 
< 0.1%
Other values (3) 8
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
39811
72.2%
, 1981
 
3.6%
) 1539
 
2.8%
( 1533
 
2.8%
0 1048
 
1.9%
. 971
 
1.8%
1 828
 
1.5%
2 721
 
1.3%
/ 605
 
1.1%
: 502
 
0.9%
Other values (74) 5579
 
10.1%
Hangul
ValueCountFrequency (%)
기 4825
 
3.1%
이 2685
 
1.7%
한 2576
 
1.7%
을 2513
 
1.6%
의 2299
 
1.5%
강 2202
 
1.4%
로 1943
 
1.2%
리 1824
 
1.2%
는 1788
 
1.1%
수 1765
 
1.1%
Other values (986) 131166
84.3%
None
ValueCountFrequency (%)
· 52
47.3%
， 43
39.1%
「 3
 
2.7%
」 3
 
2.7%
× 3
 
2.7%
＂ 2
 
1.8%
㈜ 1
 
0.9%
』 1
 
0.9%
『 1
 
0.9%
＆ 1
 
0.9%
Punctuation
ValueCountFrequency (%)
’ 34
40.5%
‘ 23
27.4%
” 12
 
14.3%
“ 11
 
13.1%
※ 4
 
4.8%
Geometric Shapes
ValueCountFrequency (%)
○ 28
87.5%
◆ 4
 
12.5%
Misc Symbols
ValueCountFrequency (%)
★ 21
72.4%
♬ 7
 
24.1%
♡ 1
 
3.4%
Enclosed Alphanum
ValueCountFrequency (%)
① 14
45.2%
② 14
45.2%
③ 3
 
9.7%
Number Forms
ValueCountFrequency (%)
Ⅰ 12
52.2%
Ⅱ 9
39.1%
Ⅳ 2
 
8.7%
Math Operators
ValueCountFrequency (%)
∨ 3
100.0%
Arrows
ValueCountFrequency (%)
⇒ 2
100.0%
CJK
ValueCountFrequency (%)
茶 2
 
9.1%
我 2
 
9.1%
定 2
 
9.1%
新 2
 
9.1%
石 2
 
9.1%
道 1
 
4.5%
想 1
 
4.5%
冥 1
 
4.5%
袂 1
 
4.5%
葯 1
 
4.5%
Other values (7) 7
31.8%
CJK Compat Ideographs
ValueCountFrequency (%)
論 2
66.7%
茶 1
33.3%
Compat Jamo
ValueCountFrequency (%)
ㅇ 2
66.7%
ㆍ 1
33.3%

교육대상구분
Text

Distinct617
Distinct (%)6.2%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2024-05-18T17:32:06.776020image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length41
Median length40
Mean length5.4312
Min length1

Characters and Unicode

Total characters54312
Distinct characters246
Distinct categories8 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique299 ?
Unique (%)3.0%

Sample

1st row노인
2nd row청년/직장인+성인+어르신+장애인+외국인+기타
3rd row지역주민
4th row지역주민
5th row시민
ValueCountFrequency (%)
지역주민 2315
 
18.3%
성인 2290
 
18.1%
누구나 505
 
4.0%
시민 322
 
2.5%
및 249
 
2.0%
이상 247
 
2.0%
지역주민+성인 246
 
1.9%
18세이상 217
 
1.7%
관내 176
 
1.4%
직장인 176
 
1.4%
Other values (666) 5886
46.6%
2024-05-18T17:32:07.365362image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
인 4977
 
9.2%
민 4635
 
8.5%
성 3647
 
6.7%
주 3311
 
6.1%
+ 2840
 
5.2%
지 2675
 
4.9%
역 2665
 
4.9%
2631
 
4.8%
시 1150
 
2.1%
장 1077
 
2.0%
Other values (236) 24704
45.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 45114
83.1%
Math Symbol 3171
 
5.8%
Space Separator 2631
 
4.8%
Decimal Number 2166
 
4.0%
Other Punctuation 592
 
1.1%
Close Punctuation 266
 
0.5%
Open Punctuation 266
 
0.5%
Dash Punctuation 106
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
인 4977
 
11.0%
민 4635
 
10.3%
성 3647
 
8.1%
주 3311
 
7.3%
지 2675
 
5.9%
역 2665
 
5.9%
시 1150
 
2.5%
장 1077
 
2.4%
청 1013
 
2.2%
구 1008
 
2.2%
Other values (215) 18956
42.0%
Decimal Number
ValueCountFrequency (%)
1 671
31.0%
8 372
17.2%
6 315
14.5%
3 154
 
7.1%
0 131
 
6.0%
2 123
 
5.7%
4 117
 
5.4%
9 100
 
4.6%
5 94
 
4.3%
7 89
 
4.1%
Other Punctuation
ValueCountFrequency (%)
/ 544
91.9%
, 44
 
7.4%
? 2
 
0.3%
& 1
 
0.2%
. 1
 
0.2%
Math Symbol
ValueCountFrequency (%)
+ 2840
89.6%
~ 331
 
10.4%
Space Separator
ValueCountFrequency (%)
2631
100.0%
Close Punctuation
ValueCountFrequency (%)
) 266
100.0%
Open Punctuation
ValueCountFrequency (%)
( 266
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 106
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 45114
83.1%
Common 9198
 
16.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
인 4977
 
11.0%
민 4635
 
10.3%
성 3647
 
8.1%
주 3311
 
7.3%
지 2675
 
5.9%
역 2665
 
5.9%
시 1150
 
2.5%
장 1077
 
2.4%
청 1013
 
2.2%
구 1008
 
2.2%
Other values (215) 18956
42.0%
Common
ValueCountFrequency (%)
+ 2840
30.9%
2631
28.6%
1 671
 
7.3%
/ 544
 
5.9%
8 372
 
4.0%
~ 331
 
3.6%
6 315
 
3.4%
) 266
 
2.9%
( 266
 
2.9%
3 154
 
1.7%
Other values (11) 808
 
8.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 45114
83.1%
ASCII 9198
 
16.9%

Most frequent character per block

Hangul
ValueCountFrequency (%)
인 4977
 
11.0%
민 4635
 
10.3%
성 3647
 
8.1%
주 3311
 
7.3%
지 2675
 
5.9%
역 2665
 
5.9%
시 1150
 
2.5%
장 1077
 
2.4%
청 1013
 
2.2%
구 1008
 
2.2%
Other values (215) 18956
42.0%
ASCII
ValueCountFrequency (%)
+ 2840
30.9%
2631
28.6%
1 671
 
7.3%
/ 544
 
5.9%
8 372
 
4.0%
~ 331
 
3.6%
6 315
 
3.4%
) 266
 
2.9%
( 266
 
2.9%
3 154
 
1.7%
Other values (11) 808
 
8.8%

교육방법구분
Categorical

IMBALANCE 

Distinct10
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
오프라인
7150 
온라인
1741 
혼합
840 
온라인+오프라인
 
147
방문교육
 
98
Other values (5)
 
24

Length

Max length9
Median length4
Mean length3.7268
Min length2

Unique

Unique2 ?
Unique (%)< 0.1%

Sample

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

Common Values

ValueCountFrequency (%)
오프라인 7150
71.5%
온라인 1741
 
17.4%
혼합 840
 
8.4%
온라인+오프라인 147
 
1.5%
방문교육 98
 
1.0%
오프라인+방문교육 15
 
0.1%
오프라인+온라인 4
 
< 0.1%
온라인+모바일 3
 
< 0.1%
모바일 1
 
< 0.1%
온+오프라인 1
 
< 0.1%

Length

2024-05-18T17:32:07.809589image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-18T17:32:08.237421image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
오프라인 7150
71.5%
온라인 1741
 
17.4%
혼합 840
 
8.4%
온라인+오프라인 147
 
1.5%
방문교육 98
 
1.0%
오프라인+방문교육 15
 
0.1%
오프라인+온라인 4
 
< 0.1%
온라인+모바일 3
 
< 0.1%
모바일 1
 
< 0.1%
온+오프라인 1
 
< 0.1%

운영요일
Text

MISSING 

Distinct151
Distinct (%)1.8%
Missing1726
Missing (%)17.3%
Memory size156.2 KiB
2024-05-18T17:32:08.721537image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length21
Median length1
Mean length2.1162678
Min length1

Characters and Unicode

Total characters17510
Distinct characters52
Distinct categories8 ?
Distinct scripts2 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique60 ?
Unique (%)0.7%

Sample

1st row수
2nd row화
3rd row화요일
4th row목
5th row월
ValueCountFrequency (%)
목 958
11.5%
화 945
11.3%
수 925
11.1%
월 712
 
8.5%
금 694
 
8.3%
토 590
 
7.1%
화+목 493
 
5.9%
월+수 328
 
3.9%
상시 319
 
3.8%
연중무휴 310
 
3.7%
Other values (122) 2086
25.0%
2024-05-18T17:32:09.481876image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
+ 2264
12.9%
화 2147
12.3%
목 2106
12.0%
수 1976
11.3%
월 1616
9.2%
일 1572
9.0%
금 1387
7.9%
요 1360
7.8%
토 711
 
4.1%
상 320
 
1.8%
Other values (42) 2051
11.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 15008
85.7%
Math Symbol 2294
 
13.1%
Other Punctuation 108
 
0.6%
Space Separator 86
 
0.5%
Decimal Number 5
 
< 0.1%
Open Punctuation 4
 
< 0.1%
Close Punctuation 4
 
< 0.1%
Connector Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
화 2147
14.3%
목 2106
14.0%
수 1976
13.2%
월 1616
10.8%
일 1572
10.5%
금 1387
9.2%
요 1360
9.1%
토 711
 
4.7%
상 320
 
2.1%
시 319
 
2.1%
Other values (30) 1494
10.0%
Other Punctuation
ValueCountFrequency (%)
, 97
89.8%
/ 8
 
7.4%
· 3
 
2.8%
Decimal Number
ValueCountFrequency (%)
2 2
40.0%
4 2
40.0%
1 1
20.0%
Math Symbol
ValueCountFrequency (%)
+ 2264
98.7%
~ 30
 
1.3%
Space Separator
ValueCountFrequency (%)
86
100.0%
Open Punctuation
ValueCountFrequency (%)
( 4
100.0%
Close Punctuation
ValueCountFrequency (%)
) 4
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 15008
85.7%
Common 2502
 
14.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
화 2147
14.3%
목 2106
14.0%
수 1976
13.2%
월 1616
10.8%
일 1572
10.5%
금 1387
9.2%
요 1360
9.1%
토 711
 
4.7%
상 320
 
2.1%
시 319
 
2.1%
Other values (30) 1494
10.0%
Common
ValueCountFrequency (%)
+ 2264
90.5%
, 97
 
3.9%
86
 
3.4%
~ 30
 
1.2%
/ 8
 
0.3%
( 4
 
0.2%
) 4
 
0.2%
· 3
 
0.1%
2 2
 
0.1%
4 2
 
0.1%
Other values (2) 2
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 15008
85.7%
ASCII 2499
 
14.3%
None 3
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
+ 2264
90.6%
, 97
 
3.9%
86
 
3.4%
~ 30
 
1.2%
/ 8
 
0.3%
( 4
 
0.2%
) 4
 
0.2%
2 2
 
0.1%
4 2
 
0.1%
1 1
 
< 0.1%
Hangul
ValueCountFrequency (%)
화 2147
14.3%
목 2106
14.0%
수 1976
13.2%
월 1616
10.8%
일 1572
10.5%
금 1387
9.2%
요 1360
9.1%
토 711
 
4.7%
상 320
 
2.1%
시 319
 
2.1%
Other values (30) 1494
10.0%
None
ValueCountFrequency (%)
· 3
100.0%

교육장소
Text

MISSING 

Distinct1908
Distinct (%)20.2%
Missing540
Missing (%)5.4%
Memory size156.2 KiB
2024-05-18T17:32:09.952536image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length33
Median length23
Mean length7.9763214
Min length1

Characters and Unicode

Total characters75456
Distinct characters587
Distinct categories12 ?
Distinct scripts3 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1061 ?
Unique (%)11.2%

Sample

1st row대한노인회당진시지회
2nd row아트센터달
3rd row광명시여성비전센터
4th row평생학습관 세미나실
5th row강의실1
ValueCountFrequency (%)
평생학습관 815
 
6.4%
온라인 789
 
6.2%
정읍시사이버평생학습관 310
 
2.4%
평생학습센터 246
 
1.9%
인터넷강의 220
 
1.7%
광명시여성비전센터 198
 
1.6%
2층 171
 
1.3%
군산시청 153
 
1.2%
아트센터달 149
 
1.2%
강의실 137
 
1.1%
Other values (2098) 9575
75.0%
2024-05-18T17:32:10.865125image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
관 4101
 
5.4%
학 3518
 
4.7%
평 3428
 
4.5%
생 3397
 
4.5%
3324
 
4.4%
습 3272
 
4.3%
터 2275
 
3.0%
시 2037
 
2.7%
센 1939
 
2.6%
인 1442
 
1.9%
Other values (577) 46723
61.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 69201
91.7%
Space Separator 3324
 
4.4%
Decimal Number 1831
 
2.4%
Close Punctuation 355
 
0.5%
Open Punctuation 354
 
0.5%
Uppercase Letter 230
 
0.3%
Dash Punctuation 48
 
0.1%
Other Punctuation 42
 
0.1%
Math Symbol 31
 
< 0.1%
Lowercase Letter 21
 
< 0.1%
Other values (2) 19
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
관 4101
 
5.9%
학 3518
 
5.1%
평 3428
 
5.0%
생 3397
 
4.9%
습 3272
 
4.7%
터 2275
 
3.3%
시 2037
 
2.9%
센 1939
 
2.8%
인 1442
 
2.1%
교 1407
 
2.0%
Other values (520) 42385
61.2%
Uppercase Letter
ValueCountFrequency (%)
O 76
33.0%
M 39
17.0%
Z 35
15.2%
A 11
 
4.8%
P 11
 
4.8%
Y 11
 
4.8%
D 10
 
4.3%
B 9
 
3.9%
G 6
 
2.6%
V 4
 
1.7%
Other values (10) 18
 
7.8%
Decimal Number
ValueCountFrequency (%)
2 515
28.1%
1 501
27.4%
3 311
17.0%
0 174
 
9.5%
4 157
 
8.6%
5 83
 
4.5%
7 32
 
1.7%
6 30
 
1.6%
8 17
 
0.9%
9 11
 
0.6%
Lowercase Letter
ValueCountFrequency (%)
o 6
28.6%
m 4
19.0%
n 2
 
9.5%
e 2
 
9.5%
z 2
 
9.5%
i 1
 
4.8%
r 1
 
4.8%
u 1
 
4.8%
s 1
 
4.8%
k 1
 
4.8%
Other Punctuation
ValueCountFrequency (%)
· 27
64.3%
/ 6
 
14.3%
, 6
 
14.3%
. 2
 
4.8%
@ 1
 
2.4%
Close Punctuation
ValueCountFrequency (%)
) 331
93.2%
] 23
 
6.5%
」 1
 
0.3%
Open Punctuation
ValueCountFrequency (%)
( 330
93.2%
[ 23
 
6.5%
「 1
 
0.3%
Letter Number
ValueCountFrequency (%)
Ⅰ 3
50.0%
Ⅱ 3
50.0%
Space Separator
ValueCountFrequency (%)
3324
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 48
100.0%
Math Symbol
ValueCountFrequency (%)
+ 31
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 13
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 69201
91.7%
Common 5998
 
7.9%
Latin 257
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
관 4101
 
5.9%
학 3518
 
5.1%
평 3428
 
5.0%
생 3397
 
4.9%
습 3272
 
4.7%
터 2275
 
3.3%
시 2037
 
2.9%
센 1939
 
2.8%
인 1442
 
2.1%
교 1407
 
2.0%
Other values (520) 42385
61.2%
Latin
ValueCountFrequency (%)
O 76
29.6%
M 39
15.2%
Z 35
13.6%
A 11
 
4.3%
P 11
 
4.3%
Y 11
 
4.3%
D 10
 
3.9%
B 9
 
3.5%
o 6
 
2.3%
G 6
 
2.3%
Other values (22) 43
16.7%
Common
ValueCountFrequency (%)
3324
55.4%
2 515
 
8.6%
1 501
 
8.4%
) 331
 
5.5%
( 330
 
5.5%
3 311
 
5.2%
0 174
 
2.9%
4 157
 
2.6%
5 83
 
1.4%
- 48
 
0.8%
Other values (15) 224
 
3.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 69201
91.7%
ASCII 6220
 
8.2%
None 29
 
< 0.1%
Number Forms 6
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
관 4101
 
5.9%
학 3518
 
5.1%
평 3428
 
5.0%
생 3397
 
4.9%
습 3272
 
4.7%
터 2275
 
3.3%
시 2037
 
2.9%
센 1939
 
2.8%
인 1442
 
2.1%
교 1407
 
2.0%
Other values (520) 42385
61.2%
ASCII
ValueCountFrequency (%)
3324
53.4%
2 515
 
8.3%
1 501
 
8.1%
) 331
 
5.3%
( 330
 
5.3%
3 311
 
5.0%
0 174
 
2.8%
4 157
 
2.5%
5 83
 
1.3%
O 76
 
1.2%
Other values (42) 418
 
6.7%
None
ValueCountFrequency (%)
· 27
93.1%
「 1
 
3.4%
」 1
 
3.4%
Number Forms
ValueCountFrequency (%)
Ⅰ 3
50.0%
Ⅱ 3
50.0%

강좌정원수
Real number (ℝ)

SKEWED  ZEROS 

Distinct80
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean174.0967
Minimum0
Maximum999999
Zeros328
Zeros (%)3.3%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-18T17:32:11.288433image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile5
Q112
median15
Q320
95-th percentile500
Maximum999999
Range999999
Interquartile range (IQR)8

Descriptive statistics

Standard deviation10001.585
Coefficient of variation (CV)57.448448
Kurtosis9990.6569
Mean174.0967
Median Absolute Deviation (MAD)5
Skewness99.929964
Sum1740967
Variance1.0003171 × 108
MonotonicityNot monotonic
2024-05-18T17:32:11.560762image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
15 2056
20.6%
20 1717
17.2%
10 1334
13.3%
12 730
 
7.3%
100 485
 
4.9%
1000 479
 
4.8%
30 384
 
3.8%
16 362
 
3.6%
0 328
 
3.3%
8 233
 
2.3%
Other values (70) 1892
18.9%
ValueCountFrequency (%)
0 328
3.3%
1 10
 
0.1%
2 10
 
0.1%
3 32
 
0.3%
4 23
 
0.2%
5 205
2.1%
6 103
 
1.0%
7 101
 
1.0%
8 233
2.3%
9 65
 
0.7%
ValueCountFrequency (%)
999999 1
 
< 0.1%
1360 1
 
< 0.1%
1000 479
4.8%
999 1
 
< 0.1%
600 9
 
0.1%
500 105
 
1.1%
413 1
 
< 0.1%
400 3
 
< 0.1%
380 3
 
< 0.1%
358 1
 
< 0.1%

수강료
Text

Distinct136
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2024-05-18T17:32:11.890959image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length11
Median length1
Mean length2.8909
Min length1

Characters and Unicode

Total characters28909
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

Unique51 ?
Unique (%)0.5%

Sample

1st row0
2nd row300000
3rd row50000
4th row0
5th row30000
ValueCountFrequency (%)
0 5366
53.7%
30000 814
 
8.1%
40000 616
 
6.2%
60000 569
 
5.7%
20000 423
 
4.2%
50000 300
 
3.0%
45000 271
 
2.7%
10000 208
 
2.1%
80000 135
 
1.4%
120000 99
 
1.0%
Other values (126) 1199
 
12.0%
2024-05-18T17:32:12.439282image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 22702
78.5%
4 1158
 
4.0%
5 1112
 
3.8%
3 1022
 
3.5%
2 935
 
3.2%
6 751
 
2.6%
1 709
 
2.5%
8 282
 
1.0%
7 155
 
0.5%
9 82
 
0.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 28908
> 99.9%
Math Symbol 1
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 22702
78.5%
4 1158
 
4.0%
5 1112
 
3.8%
3 1022
 
3.5%
2 935
 
3.2%
6 751
 
2.6%
1 709
 
2.5%
8 282
 
1.0%
7 155
 
0.5%
9 82
 
0.3%
Math Symbol
ValueCountFrequency (%)
+ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 28909
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 22702
78.5%
4 1158
 
4.0%
5 1112
 
3.8%
3 1022
 
3.5%
2 935
 
3.2%
6 751
 
2.6%
1 709
 
2.5%
8 282
 
1.0%
7 155
 
0.5%
9 82
 
0.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 28909
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 22702
78.5%
4 1158
 
4.0%
5 1112
 
3.8%
3 1022
 
3.5%
2 935
 
3.2%
6 751
 
2.6%
1 709
 
2.5%
8 282
 
1.0%
7 155
 
0.5%
9 82
 
0.3%

교육장도로명주소
Text

Distinct1939
Distinct (%)19.4%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2024-05-18T17:32:13.213673image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length58
Median length51
Mean length20.5383
Min length4

Characters and Unicode

Total characters205383
Distinct characters468
Distinct categories10 ?
Distinct scripts4 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1169 ?
Unique (%)11.7%

Sample

1st row당진시 시청1로 40
2nd row대구광역시 수성구 천을로 173
3rd row경기도 광명시 오리로366번길 6
4th row서울특별시 동작구 노량진로 140
5th row경기도 이천시 마장면 오천로 105-26
ValueCountFrequency (%)
경기도 2227
 
4.9%
대구광역시 970
 
2.1%
인천광역시 943
 
2.1%
경상남도 711
 
1.6%
전북특별자치도 587
 
1.3%
강원특별자치도 562
 
1.2%
서울특별시 559
 
1.2%
전라북도 523
 
1.2%
경상북도 474
 
1.0%
남동구 470
 
1.0%
Other values (2974) 37384
82.3%
2024-05-18T17:32:14.454661image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
35435
 
17.3%
시 9172
 
4.5%
로 8497
 
4.1%
도 7288
 
3.5%
1 7211
 
3.5%
구 5512
 
2.7%
2 5426
 
2.6%
경 3836
 
1.9%
길 3619
 
1.8%
3 3516
 
1.7%
Other values (458) 115871
56.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 132927
64.7%
Space Separator 35435
 
17.3%
Decimal Number 33226
 
16.2%
Close Punctuation 1145
 
0.6%
Open Punctuation 1142
 
0.6%
Dash Punctuation 772
 
0.4%
Other Punctuation 695
 
0.3%
Uppercase Letter 35
 
< 0.1%
Other Symbol 3
 
< 0.1%
Math Symbol 3
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
시 9172
 
6.9%
로 8497
 
6.4%
도 7288
 
5.5%
구 5512
 
4.1%
경 3836
 
2.9%
길 3619
 
2.7%
광 3497
 
2.6%
동 3006
 
2.3%
남 2896
 
2.2%
대 2661
 
2.0%
Other values (429) 82943
62.4%
Decimal Number
ValueCountFrequency (%)
1 7211
21.7%
2 5426
16.3%
3 3516
10.6%
5 3502
10.5%
0 2535
 
7.6%
4 2510
 
7.6%
7 2360
 
7.1%
6 2252
 
6.8%
8 2027
 
6.1%
9 1887
 
5.7%
Uppercase Letter
ValueCountFrequency (%)
O 8
22.9%
A 5
14.3%
M 4
11.4%
I 4
11.4%
B 3
 
8.6%
Z 3
 
8.6%
F 3
 
8.6%
S 2
 
5.7%
N 2
 
5.7%
U 1
 
2.9%
Other Punctuation
ValueCountFrequency (%)
, 685
98.6%
. 10
 
1.4%
Math Symbol
ValueCountFrequency (%)
~ 2
66.7%
+ 1
33.3%
Space Separator
ValueCountFrequency (%)
35435
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1145
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1142
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 772
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 132929
64.7%
Common 72418
35.3%
Latin 35
 
< 0.1%
Han 1
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
시 9172
 
6.9%
로 8497
 
6.4%
도 7288
 
5.5%
구 5512
 
4.1%
경 3836
 
2.9%
길 3619
 
2.7%
광 3497
 
2.6%
동 3006
 
2.3%
남 2896
 
2.2%
대 2661
 
2.0%
Other values (429) 82945
62.4%
Common
ValueCountFrequency (%)
35435
48.9%
1 7211
 
10.0%
2 5426
 
7.5%
3 3516
 
4.9%
5 3502
 
4.8%
0 2535
 
3.5%
4 2510
 
3.5%
7 2360
 
3.3%
6 2252
 
3.1%
8 2027
 
2.8%
Other values (8) 5644
 
7.8%
Latin
ValueCountFrequency (%)
O 8
22.9%
A 5
14.3%
M 4
11.4%
I 4
11.4%
B 3
 
8.6%
Z 3
 
8.6%
F 3
 
8.6%
S 2
 
5.7%
N 2
 
5.7%
U 1
 
2.9%
Han
ValueCountFrequency (%)
內 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 132926
64.7%
ASCII 72453
35.3%
None 3
 
< 0.1%
CJK 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
35435
48.9%
1 7211
 
10.0%
2 5426
 
7.5%
3 3516
 
4.9%
5 3502
 
4.8%
0 2535
 
3.5%
4 2510
 
3.5%
7 2360
 
3.3%
6 2252
 
3.1%
8 2027
 
2.8%
Other values (18) 5679
 
7.8%
Hangul
ValueCountFrequency (%)
시 9172
 
6.9%
로 8497
 
6.4%
도 7288
 
5.5%
구 5512
 
4.1%
경 3836
 
2.9%
길 3619
 
2.7%
광 3497
 
2.6%
동 3006
 
2.3%
남 2896
 
2.2%
대 2661
 
2.0%
Other values (428) 82942
62.4%
None
ValueCountFrequency (%)
㈜ 3
100.0%
CJK
ValueCountFrequency (%)
內 1
100.0%

운영기관명
Text

Distinct741
Distinct (%)7.4%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2024-05-18T17:32:14.997077image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length36
Median length21
Mean length11.1815
Min length2

Characters and Unicode

Total characters111815
Distinct characters324
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

Unique146 ?
Unique (%)1.5%

Sample

1st row당진시
2nd row아트센터달
3rd row경기도 광명시 여성비전센터
4th row서울특별시 동작구 평생학습관
5th row마장면주민자치학습센터
ValueCountFrequency (%)
경기도 1090
 
5.8%
평생학습관 999
 
5.3%
전북특별자치도 465
 
2.5%
인천인재평생교육진흥원 429
 
2.3%
서울특별시 429
 
2.3%
전라북도 409
 
2.2%
군산시청 373
 
2.0%
인천광역시 357
 
1.9%
광명시 340
 
1.8%
정읍시청 310
 
1.7%
Other values (767) 13493
72.2%
2024-05-18T17:32:15.932698image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
8694
 
7.8%
시 6002
 
5.4%
도 5636
 
5.0%
청 4367
 
3.9%
평 3764
 
3.4%
생 3740
 
3.3%
관 3192
 
2.9%
교 3120
 
2.8%
원 3068
 
2.7%
육 2979
 
2.7%
Other values (314) 67253
60.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 102649
91.8%
Space Separator 8694
 
7.8%
Decimal Number 284
 
0.3%
Open Punctuation 87
 
0.1%
Close Punctuation 87
 
0.1%
Uppercase Letter 9
 
< 0.1%
Math Symbol 3
 
< 0.1%
Dash Punctuation 1
 
< 0.1%
Lowercase Letter 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
시 6002
 
5.8%
도 5636
 
5.5%
청 4367
 
4.3%
평 3764
 
3.7%
생 3740
 
3.6%
관 3192
 
3.1%
교 3120
 
3.0%
원 3068
 
3.0%
육 2979
 
2.9%
학 2624
 
2.6%
Other values (295) 64157
62.5%
Decimal Number
ValueCountFrequency (%)
1 125
44.0%
2 98
34.5%
3 18
 
6.3%
5 16
 
5.6%
6 10
 
3.5%
8 8
 
2.8%
4 4
 
1.4%
7 4
 
1.4%
9 1
 
0.4%
Uppercase Letter
ValueCountFrequency (%)
O 6
66.7%
L 1
 
11.1%
F 1
 
11.1%
C 1
 
11.1%
Space Separator
ValueCountFrequency (%)
8694
100.0%
Open Punctuation
ValueCountFrequency (%)
( 87
100.0%
Close Punctuation
ValueCountFrequency (%)
) 87
100.0%
Math Symbol
ValueCountFrequency (%)
+ 3
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%
Lowercase Letter
ValueCountFrequency (%)
n 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 102649
91.8%
Common 9156
 
8.2%
Latin 10
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
시 6002
 
5.8%
도 5636
 
5.5%
청 4367
 
4.3%
평 3764
 
3.7%
생 3740
 
3.6%
관 3192
 
3.1%
교 3120
 
3.0%
원 3068
 
3.0%
육 2979
 
2.9%
학 2624
 
2.6%
Other values (295) 64157
62.5%
Common
ValueCountFrequency (%)
8694
95.0%
1 125
 
1.4%
2 98
 
1.1%
( 87
 
1.0%
) 87
 
1.0%
3 18
 
0.2%
5 16
 
0.2%
6 10
 
0.1%
8 8
 
0.1%
4 4
 
< 0.1%
Other values (4) 9
 
0.1%
Latin
ValueCountFrequency (%)
O 6
60.0%
L 1
 
10.0%
F 1
 
10.0%
n 1
 
10.0%
C 1
 
10.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 102641
91.8%
ASCII 9166
 
8.2%
Compat Jamo 8
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
8694
94.9%
1 125
 
1.4%
2 98
 
1.1%
( 87
 
0.9%
) 87
 
0.9%
3 18
 
0.2%
5 16
 
0.2%
6 10
 
0.1%
8 8
 
0.1%
O 6
 
0.1%
Other values (9) 17
 
0.2%
Hangul
ValueCountFrequency (%)
시 6002
 
5.8%
도 5636
 
5.5%
청 4367
 
4.3%
평 3764
 
3.7%
생 3740
 
3.6%
관 3192
 
3.1%
교 3120
 
3.0%
원 3068
 
3.0%
육 2979
 
2.9%
학 2624
 
2.6%
Other values (294) 64149
62.5%
Compat Jamo
ValueCountFrequency (%)
ㆍ 8
100.0%

운영기관전화번호
Text

Distinct926
Distinct (%)9.3%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2024-05-18T17:32:16.478690image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length12.0302
Min length11

Characters and Unicode

Total characters120302
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

Unique250 ?
Unique (%)2.5%

Sample

1st row041-352-0569
2nd row053-267-6111
3rd row02-2680-2881
4th row02-820-9928
5th row031-644-8580
ValueCountFrequency (%)
032-722-7200 429
 
4.3%
063-539-5593 310
 
3.1%
02-2680-2881 224
 
2.2%
063-454-2600 220
 
2.2%
064-760-3872 181
 
1.8%
053-215-1880 169
 
1.7%
063-454-5960 153
 
1.5%
053-267-6111 149
 
1.5%
031-590-4084 129
 
1.3%
055-330-4886 116
 
1.2%
Other values (916) 7920
79.2%
2024-05-18T17:32:17.241328image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 20976
17.4%
- 20000
16.6%
3 14636
12.2%
2 10990
9.1%
5 10352
8.6%
6 8716
7.2%
4 8645
7.2%
1 7803
 
6.5%
8 7347
 
6.1%
7 6319
 
5.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 100302
83.4%
Dash Punctuation 20000
 
16.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 20976
20.9%
3 14636
14.6%
2 10990
11.0%
5 10352
10.3%
6 8716
8.7%
4 8645
8.6%
1 7803
 
7.8%
8 7347
 
7.3%
7 6319
 
6.3%
9 4518
 
4.5%
Dash Punctuation
ValueCountFrequency (%)
- 20000
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 120302
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 20976
17.4%
- 20000
16.6%
3 14636
12.2%
2 10990
9.1%
5 10352
8.6%
6 8716
7.2%
4 8645
7.2%
1 7803
 
6.5%
8 7347
 
6.1%
7 6319
 
5.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 120302
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 20976
17.4%
- 20000
16.6%
3 14636
12.2%
2 10990
9.1%
5 10352
8.6%
6 8716
7.2%
4 8645
7.2%
1 7803
 
6.5%
8 7347
 
6.1%
7 6319
 
5.3%

접수시작일자
Date

MISSING 

Distinct682
Distinct (%)8.7%
Missing2120
Missing (%)21.2%
Memory size156.2 KiB
Minimum2015-02-11 00:00:00
Maximum2024-11-18 00:00:00
2024-05-18T17:32:17.637089image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T17:32:17.977409image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

접수종료일자
Date

MISSING 

Distinct867
Distinct (%)11.0%
Missing2147
Missing (%)21.5%
Memory size156.2 KiB
Minimum2015-02-24 00:00:00
Maximum2024-12-31 00:00:00
2024-05-18T17:32:18.350123image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T17:32:18.604012image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

접수방법구분
Text

Distinct160
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2024-05-18T17:32:18.992731image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length18
Median length3
Mean length4.7378
Min length1

Characters and Unicode

Total characters47378
Distinct characters109
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique30 ?
Unique (%)0.3%

Sample

1st row방문+전화접수
2nd row인터넷
3rd row인터넷
4th row인터넷
5th row온라인+방문접수
ValueCountFrequency (%)
인터넷 4046
37.9%
온라인 1854
17.4%
방문접수 537
 
5.0%
인터넷접수 436
 
4.1%
온라인접수 380
 
3.6%
인터넷+방문접수 380
 
3.6%
온라인+오프라인 326
 
3.1%
접수 269
 
2.5%
인터넷접수+방문접수 159
 
1.5%
방문+전화접수 142
 
1.3%
Other values (141) 2150
20.1%
2024-05-18T17:32:19.931421image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
인 9071
19.1%
넷 5819
12.3%
터 5819
12.3%
접 3607
 
7.6%
수 3559
 
7.5%
라 3252
 
6.9%
온 2811
 
5.9%
+ 2649
 
5.6%
문 2099
 
4.4%
방 2061
 
4.4%
Other values (99) 6631
14.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 43796
92.4%
Math Symbol 2649
 
5.6%
Space Separator 679
 
1.4%
Open Punctuation 63
 
0.1%
Close Punctuation 63
 
0.1%
Other Punctuation 45
 
0.1%
Lowercase Letter 39
 
0.1%
Decimal Number 34
 
0.1%
Dash Punctuation 7
 
< 0.1%
Uppercase Letter 3
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
인 9071
20.7%
넷 5819
13.3%
터 5819
13.3%
접 3607
 
8.2%
수 3559
 
8.1%
라 3252
 
7.4%
온 2811
 
6.4%
문 2099
 
4.8%
방 2061
 
4.7%
전 1108
 
2.5%
Other values (81) 4590
10.5%
Lowercase Letter
ValueCountFrequency (%)
e 11
28.2%
a 7
17.9%
l 7
17.9%
i 7
17.9%
m 7
17.9%
Other Punctuation
ValueCountFrequency (%)
, 39
86.7%
/ 4
 
8.9%
· 2
 
4.4%
Uppercase Letter
ValueCountFrequency (%)
X 1
33.3%
A 1
33.3%
F 1
33.3%
Decimal Number
ValueCountFrequency (%)
2 17
50.0%
1 17
50.0%
Math Symbol
ValueCountFrequency (%)
+ 2649
100.0%
Space Separator
ValueCountFrequency (%)
679
100.0%
Open Punctuation
ValueCountFrequency (%)
( 63
100.0%
Close Punctuation
ValueCountFrequency (%)
) 63
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 7
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 43796
92.4%
Common 3540
 
7.5%
Latin 42
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
인 9071
20.7%
넷 5819
13.3%
터 5819
13.3%
접 3607
 
8.2%
수 3559
 
8.1%
라 3252
 
7.4%
온 2811
 
6.4%
문 2099
 
4.8%
방 2061
 
4.7%
전 1108
 
2.5%
Other values (81) 4590
10.5%
Common
ValueCountFrequency (%)
+ 2649
74.8%
679
 
19.2%
( 63
 
1.8%
) 63
 
1.8%
, 39
 
1.1%
2 17
 
0.5%
1 17
 
0.5%
- 7
 
0.2%
/ 4
 
0.1%
· 2
 
0.1%
Latin
ValueCountFrequency (%)
e 11
26.2%
a 7
16.7%
l 7
16.7%
i 7
16.7%
m 7
16.7%
X 1
 
2.4%
A 1
 
2.4%
F 1
 
2.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 43796
92.4%
ASCII 3580
 
7.6%
None 2
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
인 9071
20.7%
넷 5819
13.3%
터 5819
13.3%
접 3607
 
8.2%
수 3559
 
8.1%
라 3252
 
7.4%
온 2811
 
6.4%
문 2099
 
4.8%
방 2061
 
4.7%
전 1108
 
2.5%
Other values (81) 4590
10.5%
ASCII
ValueCountFrequency (%)
+ 2649
74.0%
679
 
19.0%
( 63
 
1.8%
) 63
 
1.8%
, 39
 
1.1%
2 17
 
0.5%
1 17
 
0.5%
e 11
 
0.3%
a 7
 
0.2%
l 7
 
0.2%
Other values (7) 28
 
0.8%
None
ValueCountFrequency (%)
· 2
100.0%

선정방법구분
Text

MISSING 

Distinct59
Distinct (%)0.7%
Missing1994
Missing (%)19.9%
Memory size156.2 KiB
2024-05-18T17:32:20.361752image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length34
Median length3
Mean length3.5505871
Min length2

Characters and Unicode

Total characters28426
Distinct characters130
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique13 ?
Unique (%)0.2%

Sample

1st row추첨+선착순
2nd row선착순
3rd row선착순
4th row선착순
5th row선착순
ValueCountFrequency (%)
선착순 6172
69.6%
추첨 766
 
8.6%
제한없음 324
 
3.7%
추첨+선착순 140
 
1.6%
접수 140
 
1.6%
전산추첨 128
 
1.4%
전자추첨 113
 
1.3%
추첨(미달시 93
 
1.0%
우선 79
 
0.9%
선발 71
 
0.8%
Other values (77) 838
 
9.5%
2024-05-18T17:32:21.046734image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
선 6628
23.3%
순 6480
22.8%
착 6368
22.4%
추 1366
 
4.8%
첨 1364
 
4.8%
858
 
3.0%
제 418
 
1.5%
한 324
 
1.1%
없 324
 
1.1%
음 324
 
1.1%
Other values (120) 3972
14.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 27078
95.3%
Space Separator 858
 
3.0%
Math Symbol 181
 
0.6%
Open Punctuation 149
 
0.5%
Close Punctuation 149
 
0.5%
Decimal Number 7
 
< 0.1%
Other Punctuation 4
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
선 6628
24.5%
순 6480
23.9%
착 6368
23.5%
추 1366
 
5.0%
첨 1364
 
5.0%
제 418
 
1.5%
한 324
 
1.2%
없 324
 
1.2%
음 324
 
1.2%
전 249
 
0.9%
Other values (111) 3233
11.9%
Decimal Number
ValueCountFrequency (%)
5 3
42.9%
6 3
42.9%
3 1
 
14.3%
Math Symbol
ValueCountFrequency (%)
+ 180
99.4%
→ 1
 
0.6%
Space Separator
ValueCountFrequency (%)
858
100.0%
Open Punctuation
ValueCountFrequency (%)
( 149
100.0%
Close Punctuation
ValueCountFrequency (%)
) 149
100.0%
Other Punctuation
ValueCountFrequency (%)
/ 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 27078
95.3%
Common 1348
 
4.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
선 6628
24.5%
순 6480
23.9%
착 6368
23.5%
추 1366
 
5.0%
첨 1364
 
5.0%
제 418
 
1.5%
한 324
 
1.2%
없 324
 
1.2%
음 324
 
1.2%
전 249
 
0.9%
Other values (111) 3233
11.9%
Common
ValueCountFrequency (%)
858
63.6%
+ 180
 
13.4%
( 149
 
11.1%
) 149
 
11.1%
/ 4
 
0.3%
5 3
 
0.2%
6 3
 
0.2%
3 1
 
0.1%
→ 1
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 27078
95.3%
ASCII 1347
 
4.7%
Arrows 1
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
선 6628
24.5%
순 6480
23.9%
착 6368
23.5%
추 1366
 
5.0%
첨 1364
 
5.0%
제 418
 
1.5%
한 324
 
1.2%
없 324
 
1.2%
음 324
 
1.2%
전 249
 
0.9%
Other values (111) 3233
11.9%
ASCII
ValueCountFrequency (%)
858
63.7%
+ 180
 
13.4%
( 149
 
11.1%
) 149
 
11.1%
/ 4
 
0.3%
5 3
 
0.2%
6 3
 
0.2%
3 1
 
0.1%
Arrows
ValueCountFrequency (%)
→ 1
100.0%

홈페이지주소
Text

MISSING 

Distinct488
Distinct (%)5.7%
Missing1503
Missing (%)15.0%
Memory size156.2 KiB
2024-05-18T17:32:21.492960image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length158
Median length71
Mean length28.36201
Min length9

Characters and Unicode

Total characters240992
Distinct characters82
Distinct categories11 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique97 ?
Unique (%)1.1%

Sample

1st rowhttps://woman.gm.go.kr/
2nd rowwww.dongjak.go.kr
3rd rowhttps://www.icheon.go.kr
4th rowhttps://www.yangju.go.kr/lll/index.do
5th rowhttps://www.icdonggu.go.kr/lll/
ValueCountFrequency (%)
https://incheon.hunet.co.kr 429
 
5.0%
cyberedu.gunsan.go.kr 373
 
4.4%
http://jeongeup.dongacc.com 310
 
3.6%
https://www.yangju.go.kr/lll/index.do 219
 
2.6%
https://woman.gm.go.kr 198
 
2.3%
sugang.ull.or.kr 191
 
2.2%
http://edu.seogwipo.go.kr 181
 
2.1%
http://yes.gimhae.go.kr 147
 
1.7%
www.ull.or.kr/lifeedu/index.do 143
 
1.7%
lll.suseong.kr 137
 
1.6%
Other values (479) 6171
72.6%
2024-05-18T17:32:22.538914image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
. 26421
 
11.0%
/ 20796
 
8.6%
o 15079
 
6.3%
g 14936
 
6.2%
t 13931
 
5.8%
e 12742
 
5.3%
n 12026
 
5.0%
w 11433
 
4.7%
r 10653
 
4.4%
k 8994
 
3.7%
Other values (72) 93981
39.0%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 180753
75.0%
Other Punctuation 54035
 
22.4%
Decimal Number 3148
 
1.3%
Uppercase Letter 2389
 
1.0%
Math Symbol 489
 
0.2%
Connector Punctuation 143
 
0.1%
Other Letter 17
 
< 0.1%
Dash Punctuation 14
 
< 0.1%
Space Separator 2
 
< 0.1%
Open Punctuation 1
 
< 0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
o 15079
 
8.3%
g 14936
 
8.3%
t 13931
 
7.7%
e 12742
 
7.0%
n 12026
 
6.7%
w 11433
 
6.3%
r 10653
 
5.9%
k 8994
 
5.0%
h 8950
 
5.0%
l 8844
 
4.9%
Other values (15) 63165
34.9%
Uppercase Letter
ValueCountFrequency (%)
E 279
11.7%
I 250
10.5%
C 205
 
8.6%
D 193
 
8.1%
M 185
 
7.7%
T 177
 
7.4%
W 162
 
6.8%
R 150
 
6.3%
S 122
 
5.1%
Y 111
 
4.6%
Other values (8) 555
23.2%
Other Letter
ValueCountFrequency (%)
도 2
 
11.8%
지 1
 
5.9%
관 1
 
5.9%
서 1
 
5.9%
다 1
 
5.9%
바 1
 
5.9%
의 1
 
5.9%
혜 1
 
5.9%
산 1
 
5.9%
경 1
 
5.9%
Other values (6) 6
35.3%
Decimal Number
ValueCountFrequency (%)
0 1286
40.9%
1 422
 
13.4%
2 258
 
8.2%
6 212
 
6.7%
9 203
 
6.4%
7 183
 
5.8%
8 177
 
5.6%
5 164
 
5.2%
3 163
 
5.2%
4 80
 
2.5%
Other Punctuation
ValueCountFrequency (%)
. 26421
48.9%
/ 20796
38.5%
: 6273
 
11.6%
& 312
 
0.6%
? 181
 
0.3%
; 30
 
0.1%
, 22
 
< 0.1%
Math Symbol
ValueCountFrequency (%)
= 489
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 143
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 14
100.0%
Space Separator
ValueCountFrequency (%)
2
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 183142
76.0%
Common 57833
 
24.0%
Hangul 17
 
< 0.1%

Most frequent character per script

Latin
ValueCountFrequency (%)
o 15079
 
8.2%
g 14936
 
8.2%
t 13931
 
7.6%
e 12742
 
7.0%
n 12026
 
6.6%
w 11433
 
6.2%
r 10653
 
5.8%
k 8994
 
4.9%
h 8950
 
4.9%
l 8844
 
4.8%
Other values (33) 65554
35.8%
Common
ValueCountFrequency (%)
. 26421
45.7%
/ 20796
36.0%
: 6273
 
10.8%
0 1286
 
2.2%
= 489
 
0.8%
1 422
 
0.7%
& 312
 
0.5%
2 258
 
0.4%
6 212
 
0.4%
9 203
 
0.4%
Other values (13) 1161
 
2.0%
Hangul
ValueCountFrequency (%)
도 2
 
11.8%
지 1
 
5.9%
관 1
 
5.9%
서 1
 
5.9%
다 1
 
5.9%
바 1
 
5.9%
의 1
 
5.9%
혜 1
 
5.9%
산 1
 
5.9%
경 1
 
5.9%
Other values (6) 6
35.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 240975
> 99.9%
Hangul 17
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 26421
 
11.0%
/ 20796
 
8.6%
o 15079
 
6.3%
g 14936
 
6.2%
t 13931
 
5.8%
e 12742
 
5.3%
n 12026
 
5.0%
w 11433
 
4.7%
r 10653
 
4.4%
k 8994
 
3.7%
Other values (56) 93964
39.0%
Hangul
ValueCountFrequency (%)
도 2
 
11.8%
지 1
 
5.9%
관 1
 
5.9%
서 1
 
5.9%
다 1
 
5.9%
바 1
 
5.9%
의 1
 
5.9%
혜 1
 
5.9%
산 1
 
5.9%
경 1
 
5.9%
Other values (6) 6
35.3%

직업능력개발훈련비지원강좌여부
Categorical

IMBALANCE 

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
N
7913 
2077 
Y
 
10

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowN
2nd row
3rd rowN
4th rowN
5th rowN

Common Values

ValueCountFrequency (%)
N 7913
79.1%
2077
 
20.8%
Y 10
 
0.1%

Length

2024-05-18T17:32:22.926128image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-18T17:32:23.229606image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
n 7913
99.9%
y 10
 
0.1%

학점은행제평가(학점)인정여부
Categorical

IMBALANCE 

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
N
8055 
1917 
Y
 
28

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowN
2nd row
3rd rowN
4th rowN
5th rowN

Common Values

ValueCountFrequency (%)
N 8055
80.5%
1917
 
19.2%
Y 28
 
0.3%

Length

2024-05-18T17:32:23.557163image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-18T17:32:24.077781image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
n 8055
99.7%
y 28
 
0.3%

평생학습계좌제평가인정여부
Categorical

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
N
7912 
1950 
Y
 
138

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowN
2nd row
3rd rowN
4th rowN
5th rowN

Common Values

ValueCountFrequency (%)
N 7912
79.1%
1950
 
19.5%
Y 138
 
1.4%

Length

2024-05-18T17:32:24.399485image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-18T17:32:24.697548image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
n 7912
98.3%
y 138
 
1.7%

데이터기준일자
Date

Distinct184
Distinct (%)1.8%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
Minimum2017-05-16 00:00:00
Maximum2024-05-02 00:00:00
2024-05-18T17:32:25.046546image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T17:32:25.392990image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

제공기관코드
Text

Distinct361
Distinct (%)3.6%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2024-05-18T17:32:25.923208image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length7
Mean length7
Min length7

Characters and Unicode

Total characters70000
Distinct characters11
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique27 ?
Unique (%)0.3%

Sample

1st row5680000
2nd row6270000
3rd row3900000
4th row3190000
5th row4070000
ValueCountFrequency (%)
6270000 683
 
6.8%
6280000 467
 
4.7%
3900000 372
 
3.7%
3820000 334
 
3.3%
7801000 273
 
2.7%
5590000 227
 
2.3%
4671000 220
 
2.2%
4000000 185
 
1.8%
8490000 185
 
1.8%
6520000 181
 
1.8%
Other values (351) 6873
68.7%
2024-05-18T17:32:26.735391image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 39021
55.7%
3 4946
 
7.1%
4 4108
 
5.9%
5 3636
 
5.2%
1 3377
 
4.8%
6 3280
 
4.7%
2 3212
 
4.6%
8 2981
 
4.3%
7 2763
 
3.9%
9 2573
 
3.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 69897
99.9%
Uppercase Letter 103
 
0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 39021
55.8%
3 4946
 
7.1%
4 4108
 
5.9%
5 3636
 
5.2%
1 3377
 
4.8%
6 3280
 
4.7%
2 3212
 
4.6%
8 2981
 
4.3%
7 2763
 
4.0%
9 2573
 
3.7%
Uppercase Letter
ValueCountFrequency (%)
B 103
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 69897
99.9%
Latin 103
 
0.1%

Most frequent character per script

Common
ValueCountFrequency (%)
0 39021
55.8%
3 4946
 
7.1%
4 4108
 
5.9%
5 3636
 
5.2%
1 3377
 
4.8%
6 3280
 
4.7%
2 3212
 
4.6%
8 2981
 
4.3%
7 2763
 
4.0%
9 2573
 
3.7%
Latin
ValueCountFrequency (%)
B 103
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 70000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 39021
55.7%
3 4946
 
7.1%
4 4108
 
5.9%
5 3636
 
5.2%
1 3377
 
4.8%
6 3280
 
4.7%
2 3212
 
4.6%
8 2981
 
4.3%
7 2763
 
3.9%
9 2573
 
3.7%

제공기관명
Text

Distinct361
Distinct (%)3.6%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2024-05-18T17:32:27.227888image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length37
Median length36
Mean length8.8535
Min length4

Characters and Unicode

Total characters88535
Distinct characters164
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique27 ?
Unique (%)0.3%

Sample

1st row충청남도 당진시
2nd row대구광역시
3rd row경기도 광명시
4th row서울특별시 동작구
5th row경기도 이천시
ValueCountFrequency (%)
경기도 2094
 
11.7%
대구광역시 900
 
5.0%
인천광역시 804
 
4.5%
경상남도 512
 
2.9%
서울특별시 485
 
2.7%
전북특별자치도 475
 
2.6%
경상북도 414
 
2.3%
전라북도 399
 
2.2%
충청남도 379
 
2.1%
군산시 373
 
2.1%
Other values (340) 11095
61.9%
2024-05-18T17:32:28.151770image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
시 7977
 
9.0%
7930
 
9.0%
도 7828
 
8.8%
경 3712
 
4.2%
광 3647
 
4.1%
청 3016
 
3.4%
역 2832
 
3.2%
구 2668
 
3.0%
남 2204
 
2.5%
기 2180
 
2.5%
Other values (154) 44541
50.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 80573
91.0%
Space Separator 7930
 
9.0%
Decimal Number 24
 
< 0.1%
Other Punctuation 8
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
시 7977
 
9.9%
도 7828
 
9.7%
경 3712
 
4.6%
광 3647
 
4.5%
청 3016
 
3.7%
역 2832
 
3.5%
구 2668
 
3.3%
남 2204
 
2.7%
기 2180
 
2.7%
육 2166
 
2.7%
Other values (150) 42343
52.6%
Decimal Number
ValueCountFrequency (%)
2 16
66.7%
8 8
33.3%
Space Separator
ValueCountFrequency (%)
7930
100.0%
Other Punctuation
ValueCountFrequency (%)
. 8
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 80573
91.0%
Common 7962
 
9.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
시 7977
 
9.9%
도 7828
 
9.7%
경 3712
 
4.6%
광 3647
 
4.5%
청 3016
 
3.7%
역 2832
 
3.5%
구 2668
 
3.3%
남 2204
 
2.7%
기 2180
 
2.7%
육 2166
 
2.7%
Other values (150) 42343
52.6%
Common
ValueCountFrequency (%)
7930
99.6%
2 16
 
0.2%
8 8
 
0.1%
. 8
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 80573
91.0%
ASCII 7962
 
9.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
시 7977
 
9.9%
도 7828
 
9.7%
경 3712
 
4.6%
광 3647
 
4.5%
청 3016
 
3.7%
역 2832
 
3.5%
구 2668
 
3.3%
남 2204
 
2.7%
기 2180
 
2.7%
육 2166
 
2.7%
Other values (150) 42343
52.6%
ASCII
ValueCountFrequency (%)
7930
99.6%
2 16
 
0.2%
8 8
 
0.1%
. 8
 
0.1%

Sample

강좌명강사명교육시작일자교육종료일자교육시작시각교육종료시각강좌내용교육대상구분교육방법구분운영요일교육장소강좌정원수수강료교육장도로명주소운영기관명운영기관전화번호접수시작일자접수종료일자접수방법구분선정방법구분홈페이지주소직업능력개발훈련비지원강좌여부학점은행제평가(학점)인정여부평생학습계좌제평가인정여부데이터기준일자제공기관코드제공기관명
14791건강운동건강운동2021-01-012021-12-31<NA><NA>건강운동노인오프라인<NA>대한노인회당진시지회650당진시 시청1로 40당진시041-352-05692021-01-012021-02-28방문+전화접수<NA><NA>NNN2021-10-265680000충청남도 당진시
3346[아트센터달](1:1레슨)프리미엄 가곡 개인레슨(30분)(송민태선생님)칠금평생교육원2023-06-012023-08-31<NA><NA>[아트센터달](1:1레슨)프리미엄 가곡 개인레슨(30분)(송민태선생님) 강좌청년/직장인+성인+어르신+장애인+외국인+기타혼합<NA>아트센터달5300000대구광역시 수성구 천을로 173아트센터달053-267-6111<NA><NA>인터넷<NA><NA>2024-02-276270000대구광역시
19230일본어초급(야간)정해란2018-08-062018-12-2319:0022:00일본어지역주민오프라인수광명시여성비전센터1550000경기도 광명시 오리로366번길 6경기도 광명시 여성비전센터02-2680-28812018-07-092018-07-17인터넷추첨+선착순https://woman.gm.go.kr/NNN2022-11-093900000경기도 광명시
18081기초 유화음미영2022-09-202022-11-0809:3011:30유화 그리기 기초지역주민오프라인화평생학습관 세미나실150서울특별시 동작구 노량진로 140서울특별시 동작구 평생학습관02-820-99282022-09-072022-09-19인터넷선착순www.dongjak.go.krNNN2024-04-053190000서울특별시 동작구
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10416[옥정]창의교구&보드게임 2급김승화2022-02-102022-04-2814:0013:00직업/자격증성인혼합목옥정평생학습센터1060000경기도 양주시 옥정동로7길 110 옥정동, 옥정호수도서관 지하양주시 평생학습관031-8082-73962022-01-132022-01-20인터넷접수+방문접수선착순https://www.yangju.go.kr/lll/index.doNNN2024-04-085590000경기도 양주시
18352[동구샘터][2021-11-8] 제로웨이스트 실천 ‘친환경 화장품&세제 DIY’김정하2021-11-082021-11-0810:0012:00내손으로 만드는 친환경 화장품&세제지역주민오프라인월[동구샘터 11호점] 새 벽50인천광역시 동구 인중로 377 ㈜새벽인천광역시 동구청032-770-68232021-10-202021-10-31인터넷선착순https://www.icdonggu.go.kr/lll/NNN2024-03-043500000인천광역시 동구
19582재봉옷 만들기(B반)박삼희2024-02-232024-05-1718:0021:00제도를 통해 옷에 대한 기본지식 이해와 재봉틀을 활용한 제작기법을 습득지역주민오프라인금하서면 문화복지센터120전북특별자치도 부안군 하서면 신지길 5전북특별자치도 부안군청063-580-46102024-02-052024-02-14온라인선착순https://www.buan.go.kr/baleNNN2024-04-224791000전북특별자치도 부안군
5809늘손뜨개공방고정미2022-03-142022-06-3010:0012:00손뜨개성인오프라인토횡성군군립도서관1040000강원도 횡성군 횡성읍 문예로 75강원도 횡성군청033-340-20742022-02-142022-02-25전화+방문선착순www.hsg.go.kr2022-05-104260000강원도 횡성군
19318전산회계2급일반사무김성수2018-08-062018-12-2310:0013:00회계세무지역주민오프라인수+금광명시여성비전센터2250000경기도 광명시 오리로366번길 6경기도 광명시 여성비전센터02-2680-28812018-07-092018-07-17인터넷추첨+선착순https://woman.gm.go.kr/NNN2022-11-093900000경기도 광명시
강좌명강사명교육시작일자교육종료일자교육시작시각교육종료시각강좌내용교육대상구분교육방법구분운영요일교육장소강좌정원수수강료교육장도로명주소운영기관명운영기관전화번호접수시작일자접수종료일자접수방법구분선정방법구분홈페이지주소직업능력개발훈련비지원강좌여부학점은행제평가(학점)인정여부평생학습계좌제평가인정여부데이터기준일자제공기관코드제공기관명
105와이저, 똑똑한 조직은 어떻게 움직이는가박성준2023-03-012024-02-29<NA><NA>조직문화누구나온라인<NA>온라인10000인천광역시 남동구 인주대로 585 12층인천인재평생교육진흥원032-722-7200<NA><NA>온라인<NA>https://incheon.hunet.co.kr/NNN2024-01-016280000인천광역시
6151소중한 내 재산 지키기김재홍외2인2023-05-032023-06-0814:0016:00주거교육(전월세 지원제도 등)- 금융교육(신용, 적금 등)- 집 정리 수납방법 교육중랑구민(성인)오프라인수+목모두랑 동네배움터100서울특별시 중랑구 동일로 109길 31-5(동부시장 고객센터 2층)서울특별시 중랑구청 교육지원과02-2094-19282023-04-272023-05-02인터넷+전화접수선착순http://lifelong.jungnang.go.krNNN2023-08-253060000서울특별시 중랑구
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