Overview

Dataset statistics

Number of variables27
Number of observations1106
Missing cells1123
Missing cells (%)3.8%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory234.5 KiB
Average record size in memory217.1 B

Variable types

Categorical8
Text18
Unsupported1

Alerts

시군 is highly imbalanced (78.0%)Imbalance
교육방법구분 is highly imbalanced (90.8%)Imbalance
선정방법구분 is highly imbalanced (70.3%)Imbalance
직업능력개발훈련비지원강좌여부 is highly imbalanced (79.0%)Imbalance
학점은행제평가(학점)인정여부 is highly imbalanced (82.9%)Imbalance
평생학습계좌제평가인정여부 is highly imbalanced (79.0%)Imbalance
데이터기준일자 is highly imbalanced (78.7%)Imbalance
Unnamed: 26 has 1106 (100.0%) missing valuesMissing
Unnamed: 26 is an unsupported type, check if it needs cleaning or further analysisUnsupported

Reproduction

Analysis started2024-03-14 01:10:52.687710
Analysis finished2024-03-14 01:10:53.897179
Duration1.21 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

시군
Categorical

IMBALANCE 

Distinct9
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size8.8 KiB
익산시
1005 
부안군
 
24
전주시
 
22
진안군
 
14
남원시
 
11
Other values (4)
 
30

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
익산시 1005
90.9%
부안군 24
 
2.2%
전주시 22
 
2.0%
진안군 14
 
1.3%
남원시 11
 
1.0%
정읍시 10
 
0.9%
순창군 9
 
0.8%
장수군 6
 
0.5%
고창군 5
 
0.5%

Length

2024-03-14T10:10:53.966398image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T10:10:54.069911image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
익산시 1005
90.9%
부안군 24
 
2.2%
전주시 22
 
2.0%
진안군 14
 
1.3%
남원시 11
 
1.0%
정읍시 10
 
0.9%
순창군 9
 
0.8%
장수군 6
 
0.5%
고창군 5
 
0.5%
Distinct977
Distinct (%)88.3%
Missing0
Missing (%)0.0%
Memory size8.8 KiB
2024-03-14T10:10:54.357173image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length42
Median length35
Mean length11.639241
Min length1

Characters and Unicode

Total characters12873
Distinct characters602
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

Unique915 ?
Unique (%)82.7%

Sample

1st row우쿨렐레
2nd row여행스케치
3rd row서예문인화작품반
4th row문인화
5th row사군자입문반
ValueCountFrequency (%)
트니트니 19
 
0.8%
토요 18
 
0.8%
교실 17
 
0.7%
50%할인 15
 
0.6%
저녁반 14
 
0.6%
목요 14
 
0.6%
퍼포먼스 14
 
0.6%
노래교실 14
 
0.6%
어르신 13
 
0.6%
요가 13
 
0.6%
Other values (1378) 2198
93.6%
2024-03-14T10:10:54.755587image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1256
 
9.8%
) 542
 
4.2%
( 388
 
3.0%
2 276
 
2.1%
1 223
 
1.7%
- 185
 
1.4%
180
 
1.4%
176
 
1.4%
170
 
1.3%
168
 
1.3%
Other values (592) 9309
72.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 8464
65.8%
Space Separator 1256
 
9.8%
Decimal Number 1209
 
9.4%
Close Punctuation 544
 
4.2%
Open Punctuation 390
 
3.0%
Uppercase Letter 318
 
2.5%
Other Punctuation 279
 
2.2%
Dash Punctuation 185
 
1.4%
Math Symbol 112
 
0.9%
Lowercase Letter 109
 
0.8%
Other values (2) 7
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
180
 
2.1%
176
 
2.1%
170
 
2.0%
168
 
2.0%
158
 
1.9%
153
 
1.8%
139
 
1.6%
130
 
1.5%
114
 
1.3%
113
 
1.3%
Other values (525) 6963
82.3%
Uppercase Letter
ValueCountFrequency (%)
W 37
11.6%
E 36
11.3%
A 30
9.4%
H 27
8.5%
N 27
8.5%
B 27
8.5%
S 22
 
6.9%
P 20
 
6.3%
L 16
 
5.0%
Y 14
 
4.4%
Other values (12) 62
19.5%
Lowercase Letter
ValueCountFrequency (%)
o 22
20.2%
h 14
12.8%
c 11
10.1%
t 10
9.2%
l 8
 
7.3%
u 8
 
7.3%
i 7
 
6.4%
y 4
 
3.7%
s 3
 
2.8%
g 3
 
2.8%
Other values (8) 19
17.4%
Decimal Number
ValueCountFrequency (%)
2 276
22.8%
1 223
18.4%
3 167
13.8%
5 128
10.6%
6 101
 
8.4%
4 88
 
7.3%
0 81
 
6.7%
7 73
 
6.0%
8 40
 
3.3%
9 32
 
2.6%
Other Punctuation
ValueCountFrequency (%)
/ 126
45.2%
, 47
 
16.8%
! 39
 
14.0%
% 33
 
11.8%
& 27
 
9.7%
. 3
 
1.1%
2
 
0.7%
· 2
 
0.7%
Close Punctuation
ValueCountFrequency (%)
) 542
99.6%
2
 
0.4%
Open Punctuation
ValueCountFrequency (%)
( 388
99.5%
2
 
0.5%
Space Separator
ValueCountFrequency (%)
1256
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 185
100.0%
Math Symbol
ValueCountFrequency (%)
~ 112
100.0%
Control
ValueCountFrequency (%)
5
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 8464
65.8%
Common 3982
30.9%
Latin 427
 
3.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
180
 
2.1%
176
 
2.1%
170
 
2.0%
168
 
2.0%
158
 
1.9%
153
 
1.8%
139
 
1.6%
130
 
1.5%
114
 
1.3%
113
 
1.3%
Other values (525) 6963
82.3%
Latin
ValueCountFrequency (%)
W 37
 
8.7%
E 36
 
8.4%
A 30
 
7.0%
H 27
 
6.3%
N 27
 
6.3%
B 27
 
6.3%
S 22
 
5.2%
o 22
 
5.2%
P 20
 
4.7%
L 16
 
3.7%
Other values (30) 163
38.2%
Common
ValueCountFrequency (%)
1256
31.5%
) 542
13.6%
( 388
 
9.7%
2 276
 
6.9%
1 223
 
5.6%
- 185
 
4.6%
3 167
 
4.2%
5 128
 
3.2%
/ 126
 
3.2%
~ 112
 
2.8%
Other values (17) 579
14.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 8464
65.8%
ASCII 4401
34.2%
None 8
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1256
28.5%
) 542
12.3%
( 388
 
8.8%
2 276
 
6.3%
1 223
 
5.1%
- 185
 
4.2%
3 167
 
3.8%
5 128
 
2.9%
/ 126
 
2.9%
~ 112
 
2.5%
Other values (53) 998
22.7%
Hangul
ValueCountFrequency (%)
180
 
2.1%
176
 
2.1%
170
 
2.0%
168
 
2.0%
158
 
1.9%
153
 
1.8%
139
 
1.6%
130
 
1.5%
114
 
1.3%
113
 
1.3%
Other values (525) 6963
82.3%
None
ValueCountFrequency (%)
2
25.0%
· 2
25.0%
2
25.0%
2
25.0%
Distinct475
Distinct (%)43.3%
Missing8
Missing (%)0.7%
Memory size8.8 KiB
2024-03-14T10:10:55.025658image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length18
Median length3
Mean length3.0701275
Min length1

Characters and Unicode

Total characters3371
Distinct characters204
Distinct categories5 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique279 ?
Unique (%)25.4%

Sample

1st row김현주
2nd row김성욱
3rd row김연
4th row김연
5th row김연
ValueCountFrequency (%)
비공개 97
 
8.7%
미정 30
 
2.7%
김연화 27
 
2.4%
최희자 13
 
1.2%
김세희 12
 
1.1%
정은희 11
 
1.0%
임창현 11
 
1.0%
박은실 10
 
0.9%
센터직원 9
 
0.8%
노성숙 9
 
0.8%
Other values (477) 888
79.5%
2024-03-14T10:10:55.427631image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
226
 
6.7%
166
 
4.9%
112
 
3.3%
110
 
3.3%
105
 
3.1%
105
 
3.1%
97
 
2.9%
97
 
2.9%
97
 
2.9%
89
 
2.6%
Other values (194) 2167
64.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3337
99.0%
Space Separator 17
 
0.5%
Uppercase Letter 9
 
0.3%
Control 4
 
0.1%
Other Punctuation 4
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
226
 
6.8%
166
 
5.0%
112
 
3.4%
110
 
3.3%
105
 
3.1%
105
 
3.1%
97
 
2.9%
97
 
2.9%
97
 
2.9%
89
 
2.7%
Other values (184) 2133
63.9%
Uppercase Letter
ValueCountFrequency (%)
N 2
22.2%
A 2
22.2%
D 2
22.2%
U 1
11.1%
L 1
11.1%
I 1
11.1%
Other Punctuation
ValueCountFrequency (%)
, 3
75.0%
. 1
 
25.0%
Space Separator
ValueCountFrequency (%)
17
100.0%
Control
ValueCountFrequency (%)
4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3337
99.0%
Common 25
 
0.7%
Latin 9
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
226
 
6.8%
166
 
5.0%
112
 
3.4%
110
 
3.3%
105
 
3.1%
105
 
3.1%
97
 
2.9%
97
 
2.9%
97
 
2.9%
89
 
2.7%
Other values (184) 2133
63.9%
Latin
ValueCountFrequency (%)
N 2
22.2%
A 2
22.2%
D 2
22.2%
U 1
11.1%
L 1
11.1%
I 1
11.1%
Common
ValueCountFrequency (%)
17
68.0%
4
 
16.0%
, 3
 
12.0%
. 1
 
4.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3337
99.0%
ASCII 34
 
1.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
226
 
6.8%
166
 
5.0%
112
 
3.4%
110
 
3.3%
105
 
3.1%
105
 
3.1%
97
 
2.9%
97
 
2.9%
97
 
2.9%
89
 
2.7%
Other values (184) 2133
63.9%
ASCII
ValueCountFrequency (%)
17
50.0%
4
 
11.8%
, 3
 
8.8%
N 2
 
5.9%
A 2
 
5.9%
D 2
 
5.9%
U 1
 
2.9%
. 1
 
2.9%
L 1
 
2.9%
I 1
 
2.9%
Distinct131
Distinct (%)11.8%
Missing0
Missing (%)0.0%
Memory size8.8 KiB
2024-03-14T10:10:55.634365image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length11
Median length10
Mean length9.4349005
Min length1

Characters and Unicode

Total characters10435
Distinct characters35
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique45 ?
Unique (%)4.1%

Sample

1st row2015-09-10
2nd row2015-09-10
3rd row2015-09-08
4th row2015-09-11
5th row2015-09-08
ValueCountFrequency (%)
2015-03-01 206
18.2%
2015-01-01 95
 
8.4%
2015-01-02 61
 
5.4%
2015-03-02 58
 
5.1%
2014-09-01 58
 
5.1%
2015-03-04 42
 
3.7%
2015-03-10 41
 
3.6%
2015-03-05 36
 
3.2%
2015-03-03 34
 
3.0%
2015-03-07 32
 
2.8%
Other values (125) 466
41.3%
2024-03-14T10:10:56.017453image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 2838
27.2%
- 2055
19.7%
1 1797
17.2%
2 1330
12.7%
5 1058
 
10.1%
3 647
 
6.2%
4 205
 
2.0%
9 105
 
1.0%
7 84
 
0.8%
6 84
 
0.8%
Other values (25) 232
 
2.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 8188
78.5%
Dash Punctuation 2055
 
19.7%
Other Letter 144
 
1.4%
Space Separator 23
 
0.2%
Other Punctuation 15
 
0.1%
Open Punctuation 5
 
< 0.1%
Close Punctuation 5
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
18
12.5%
18
12.5%
17
11.8%
13
9.0%
13
9.0%
11
7.6%
9
 
6.2%
8
 
5.6%
6
 
4.2%
5
 
3.5%
Other values (9) 26
18.1%
Decimal Number
ValueCountFrequency (%)
0 2838
34.7%
1 1797
21.9%
2 1330
16.2%
5 1058
 
12.9%
3 647
 
7.9%
4 205
 
2.5%
9 105
 
1.3%
7 84
 
1.0%
6 84
 
1.0%
8 40
 
0.5%
Other Punctuation
ValueCountFrequency (%)
. 14
93.3%
, 1
 
6.7%
Dash Punctuation
ValueCountFrequency (%)
- 2055
100.0%
Space Separator
ValueCountFrequency (%)
23
100.0%
Open Punctuation
ValueCountFrequency (%)
( 5
100.0%
Close Punctuation
ValueCountFrequency (%)
) 5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 10291
98.6%
Hangul 144
 
1.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
18
12.5%
18
12.5%
17
11.8%
13
9.0%
13
9.0%
11
7.6%
9
 
6.2%
8
 
5.6%
6
 
4.2%
5
 
3.5%
Other values (9) 26
18.1%
Common
ValueCountFrequency (%)
0 2838
27.6%
- 2055
20.0%
1 1797
17.5%
2 1330
12.9%
5 1058
 
10.3%
3 647
 
6.3%
4 205
 
2.0%
9 105
 
1.0%
7 84
 
0.8%
6 84
 
0.8%
Other values (6) 88
 
0.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 10291
98.6%
Hangul 144
 
1.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 2838
27.6%
- 2055
20.0%
1 1797
17.5%
2 1330
12.9%
5 1058
 
10.3%
3 647
 
6.3%
4 205
 
2.0%
9 105
 
1.0%
7 84
 
0.8%
6 84
 
0.8%
Other values (6) 88
 
0.9%
Hangul
ValueCountFrequency (%)
18
12.5%
18
12.5%
17
11.8%
13
9.0%
13
9.0%
11
7.6%
9
 
6.2%
8
 
5.6%
6
 
4.2%
5
 
3.5%
Other values (9) 26
18.1%
Distinct132
Distinct (%)11.9%
Missing0
Missing (%)0.0%
Memory size8.8 KiB
2024-03-14T10:10:56.260064image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length11
Median length10
Mean length9.3833635
Min length1

Characters and Unicode

Total characters10378
Distinct characters28
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique46 ?
Unique (%)4.2%

Sample

1st row2015-12-24
2nd row2015-12-24
3rd row2015-12-22
4th row2015-12-18
5th row2015-12-22
ValueCountFrequency (%)
2015-05-28 199
 
17.6%
2015-12-31 131
 
11.6%
2015-06-30 63
 
5.6%
2015-12-01 55
 
4.9%
52
 
4.6%
2015-06-19 35
 
3.1%
2015-05-23 26
 
2.3%
2015-05-22 23
 
2.0%
2015-05-21 22
 
2.0%
2015-05-20 22
 
2.0%
Other values (126) 500
44.3%
2024-03-14T10:10:56.560966image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 2065
19.9%
0 2018
19.4%
1 1846
17.8%
2 1821
17.5%
5 1400
13.5%
3 363
 
3.5%
8 248
 
2.4%
6 218
 
2.1%
4 90
 
0.9%
7 85
 
0.8%
Other values (18) 224
 
2.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 8162
78.6%
Dash Punctuation 2065
 
19.9%
Other Letter 99
 
1.0%
Space Separator 22
 
0.2%
Other Punctuation 20
 
0.2%
Open Punctuation 5
 
< 0.1%
Close Punctuation 5
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
14
14.1%
13
13.1%
13
13.1%
9
9.1%
9
9.1%
9
9.1%
7
7.1%
6
6.1%
5
 
5.1%
5
 
5.1%
Other values (3) 9
9.1%
Decimal Number
ValueCountFrequency (%)
0 2018
24.7%
1 1846
22.6%
2 1821
22.3%
5 1400
17.2%
3 363
 
4.4%
8 248
 
3.0%
6 218
 
2.7%
4 90
 
1.1%
7 85
 
1.0%
9 73
 
0.9%
Dash Punctuation
ValueCountFrequency (%)
- 2065
100.0%
Space Separator
ValueCountFrequency (%)
22
100.0%
Other Punctuation
ValueCountFrequency (%)
. 20
100.0%
Open Punctuation
ValueCountFrequency (%)
( 5
100.0%
Close Punctuation
ValueCountFrequency (%)
) 5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 10279
99.0%
Hangul 99
 
1.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 2065
20.1%
0 2018
19.6%
1 1846
18.0%
2 1821
17.7%
5 1400
13.6%
3 363
 
3.5%
8 248
 
2.4%
6 218
 
2.1%
4 90
 
0.9%
7 85
 
0.8%
Other values (5) 125
 
1.2%
Hangul
ValueCountFrequency (%)
14
14.1%
13
13.1%
13
13.1%
9
9.1%
9
9.1%
9
9.1%
7
7.1%
6
6.1%
5
 
5.1%
5
 
5.1%
Other values (3) 9
9.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 10279
99.0%
Hangul 99
 
1.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 2065
20.1%
0 2018
19.6%
1 1846
18.0%
2 1821
17.7%
5 1400
13.6%
3 363
 
3.5%
8 248
 
2.4%
6 218
 
2.1%
4 90
 
0.9%
7 85
 
0.8%
Other values (5) 125
 
1.2%
Hangul
ValueCountFrequency (%)
14
14.1%
13
13.1%
13
13.1%
9
9.1%
9
9.1%
9
9.1%
7
7.1%
6
6.1%
5
 
5.1%
5
 
5.1%
Other values (3) 9
9.1%
Distinct111
Distinct (%)10.0%
Missing0
Missing (%)0.0%
Memory size8.8 KiB
2024-03-14T10:10:56.735587image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length31
Median length5
Mean length5.1428571
Min length1

Characters and Unicode

Total characters5688
Distinct characters54
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique48 ?
Unique (%)4.3%

Sample

1st row14:00
2nd row19:00
3rd row9:30
4th row9:30
5th row13:00
ValueCountFrequency (%)
10:00 154
 
13.7%
19:00 88
 
7.8%
9:00 73
 
6.5%
13:00 71
 
6.3%
10:30 66
 
5.9%
14:00 65
 
5.8%
9:30 39
 
3.5%
11:00 36
 
3.2%
16:00 34
 
3.0%
13:30 32
 
2.8%
Other values (110) 467
41.5%
2024-03-14T10:10:57.013678image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 2095
36.8%
1 1136
20.0%
: 1122
19.7%
3 349
 
6.1%
9 232
 
4.1%
4 153
 
2.7%
2 148
 
2.6%
5 90
 
1.6%
6 76
 
1.3%
8 52
 
0.9%
Other values (44) 235
 
4.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 4367
76.8%
Other Punctuation 1165
 
20.5%
Other Letter 90
 
1.6%
Open Punctuation 16
 
0.3%
Space Separator 16
 
0.3%
Close Punctuation 16
 
0.3%
Dash Punctuation 12
 
0.2%
Control 3
 
0.1%
Uppercase Letter 2
 
< 0.1%
Math Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
8
 
8.9%
8
 
8.9%
6
 
6.7%
6
 
6.7%
6
 
6.7%
5
 
5.6%
4
 
4.4%
4
 
4.4%
4
 
4.4%
4
 
4.4%
Other values (22) 35
38.9%
Decimal Number
ValueCountFrequency (%)
0 2095
48.0%
1 1136
26.0%
3 349
 
8.0%
9 232
 
5.3%
4 153
 
3.5%
2 148
 
3.4%
5 90
 
2.1%
6 76
 
1.7%
8 52
 
1.2%
7 36
 
0.8%
Other Punctuation
ValueCountFrequency (%)
: 1122
96.3%
/ 39
 
3.3%
, 3
 
0.3%
; 1
 
0.1%
Uppercase Letter
ValueCountFrequency (%)
B 1
50.0%
A 1
50.0%
Open Punctuation
ValueCountFrequency (%)
( 16
100.0%
Space Separator
ValueCountFrequency (%)
16
100.0%
Close Punctuation
ValueCountFrequency (%)
) 16
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 12
100.0%
Control
ValueCountFrequency (%)
3
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 5596
98.4%
Hangul 90
 
1.6%
Latin 2
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
8
 
8.9%
8
 
8.9%
6
 
6.7%
6
 
6.7%
6
 
6.7%
5
 
5.6%
4
 
4.4%
4
 
4.4%
4
 
4.4%
4
 
4.4%
Other values (22) 35
38.9%
Common
ValueCountFrequency (%)
0 2095
37.4%
1 1136
20.3%
: 1122
20.1%
3 349
 
6.2%
9 232
 
4.1%
4 153
 
2.7%
2 148
 
2.6%
5 90
 
1.6%
6 76
 
1.4%
8 52
 
0.9%
Other values (10) 143
 
2.6%
Latin
ValueCountFrequency (%)
B 1
50.0%
A 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 5598
98.4%
Hangul 90
 
1.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 2095
37.4%
1 1136
20.3%
: 1122
20.0%
3 349
 
6.2%
9 232
 
4.1%
4 153
 
2.7%
2 148
 
2.6%
5 90
 
1.6%
6 76
 
1.4%
8 52
 
0.9%
Other values (12) 145
 
2.6%
Hangul
ValueCountFrequency (%)
8
 
8.9%
8
 
8.9%
6
 
6.7%
6
 
6.7%
6
 
6.7%
5
 
5.6%
4
 
4.4%
4
 
4.4%
4
 
4.4%
4
 
4.4%
Other values (22) 35
38.9%
Distinct157
Distinct (%)14.2%
Missing0
Missing (%)0.0%
Memory size8.8 KiB
2024-03-14T10:10:57.242781image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length31
Median length5
Mean length5.3327306
Min length1

Characters and Unicode

Total characters5898
Distinct characters54
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique77 ?
Unique (%)7.0%

Sample

1st row16:00
2nd row21:00
3rd row12:30
4th row12:30
5th row15:00
ValueCountFrequency (%)
12:00 155
 
13.6%
21:00 60
 
5.3%
17:00 60
 
5.3%
11:30 50
 
4.4%
12:30 36
 
3.2%
18:00 35
 
3.1%
20:30 35
 
3.1%
15:00 34
 
3.0%
16:00 33
 
2.9%
15:30 31
 
2.7%
Other values (119) 607
53.4%
2024-03-14T10:10:57.594550image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 1730
29.3%
1 1235
20.9%
: 1122
19.0%
2 485
 
8.2%
3 314
 
5.3%
5 290
 
4.9%
4 159
 
2.7%
118
 
2.0%
7 103
 
1.7%
6 89
 
1.5%
Other values (44) 253
 
4.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 4490
76.1%
Other Punctuation 1156
 
19.6%
Space Separator 118
 
2.0%
Other Letter 90
 
1.5%
Dash Punctuation 12
 
0.2%
Close Punctuation 10
 
0.2%
Open Punctuation 10
 
0.2%
Control 9
 
0.2%
Uppercase Letter 2
 
< 0.1%
Math Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
8
 
8.9%
8
 
8.9%
6
 
6.7%
6
 
6.7%
6
 
6.7%
5
 
5.6%
4
 
4.4%
4
 
4.4%
4
 
4.4%
4
 
4.4%
Other values (22) 35
38.9%
Decimal Number
ValueCountFrequency (%)
0 1730
38.5%
1 1235
27.5%
2 485
 
10.8%
3 314
 
7.0%
5 290
 
6.5%
4 159
 
3.5%
7 103
 
2.3%
6 89
 
2.0%
8 54
 
1.2%
9 31
 
0.7%
Other Punctuation
ValueCountFrequency (%)
: 1122
97.1%
/ 30
 
2.6%
, 3
 
0.3%
; 1
 
0.1%
Uppercase Letter
ValueCountFrequency (%)
B 1
50.0%
A 1
50.0%
Space Separator
ValueCountFrequency (%)
118
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 12
100.0%
Close Punctuation
ValueCountFrequency (%)
) 10
100.0%
Open Punctuation
ValueCountFrequency (%)
( 10
100.0%
Control
ValueCountFrequency (%)
9
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 5806
98.4%
Hangul 90
 
1.5%
Latin 2
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
8
 
8.9%
8
 
8.9%
6
 
6.7%
6
 
6.7%
6
 
6.7%
5
 
5.6%
4
 
4.4%
4
 
4.4%
4
 
4.4%
4
 
4.4%
Other values (22) 35
38.9%
Common
ValueCountFrequency (%)
0 1730
29.8%
1 1235
21.3%
: 1122
19.3%
2 485
 
8.4%
3 314
 
5.4%
5 290
 
5.0%
4 159
 
2.7%
118
 
2.0%
7 103
 
1.8%
6 89
 
1.5%
Other values (10) 161
 
2.8%
Latin
ValueCountFrequency (%)
B 1
50.0%
A 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 5808
98.5%
Hangul 90
 
1.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 1730
29.8%
1 1235
21.3%
: 1122
19.3%
2 485
 
8.4%
3 314
 
5.4%
5 290
 
5.0%
4 159
 
2.7%
118
 
2.0%
7 103
 
1.8%
6 89
 
1.5%
Other values (12) 163
 
2.8%
Hangul
ValueCountFrequency (%)
8
 
8.9%
8
 
8.9%
6
 
6.7%
6
 
6.7%
6
 
6.7%
5
 
5.6%
4
 
4.4%
4
 
4.4%
4
 
4.4%
4
 
4.4%
Other values (22) 35
38.9%
Distinct602
Distinct (%)54.4%
Missing0
Missing (%)0.0%
Memory size8.8 KiB
2024-03-14T10:10:58.107369image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length295
Median length161
Mean length29.129295
Min length1

Characters and Unicode

Total characters32217
Distinct characters732
Distinct categories14 ?
Distinct scripts4 ?
Distinct blocks6 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique478 ?
Unique (%)43.2%

Sample

1st row우쿨렐레 악기배우기
2nd row드로잉교육
3rd row문인화교육
4th row문인화교육
5th row사군자초급반
ValueCountFrequency (%)
130
 
1.7%
106
 
1.4%
101
 
1.4%
프로그램입니다 76
 
1.0%
있는 72
 
1.0%
68
 
0.9%
만들어 66
 
0.9%
시간입니다 51
 
0.7%
통해 49
 
0.7%
신체발달 47
 
0.6%
Other values (2648) 6708
89.8%
2024-03-14T10:10:58.536823image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
6477
 
20.1%
618
 
1.9%
590
 
1.8%
489
 
1.5%
489
 
1.5%
471
 
1.5%
465
 
1.4%
395
 
1.2%
. 383
 
1.2%
375
 
1.2%
Other values (722) 21465
66.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 23980
74.4%
Space Separator 6482
 
20.1%
Other Punctuation 890
 
2.8%
Lowercase Letter 280
 
0.9%
Dash Punctuation 133
 
0.4%
Decimal Number 124
 
0.4%
Uppercase Letter 83
 
0.3%
Open Punctuation 63
 
0.2%
Close Punctuation 63
 
0.2%
Initial Punctuation 32
 
0.1%
Other values (4) 87
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
618
 
2.6%
590
 
2.5%
489
 
2.0%
489
 
2.0%
471
 
2.0%
465
 
1.9%
395
 
1.6%
375
 
1.6%
289
 
1.2%
286
 
1.2%
Other values (649) 19513
81.4%
Lowercase Letter
ValueCountFrequency (%)
a 36
12.9%
o 36
12.9%
l 28
10.0%
h 22
7.9%
t 20
 
7.1%
i 20
 
7.1%
e 19
 
6.8%
y 17
 
6.1%
m 16
 
5.7%
p 14
 
5.0%
Other values (10) 52
18.6%
Uppercase Letter
ValueCountFrequency (%)
W 12
14.5%
H 10
12.0%
F 10
12.0%
P 6
 
7.2%
C 6
 
7.2%
G 6
 
7.2%
A 5
 
6.0%
L 4
 
4.8%
S 4
 
4.8%
T 4
 
4.8%
Other values (9) 16
19.3%
Other Punctuation
ValueCountFrequency (%)
. 383
43.0%
, 365
41.0%
/ 78
 
8.8%
! 16
 
1.8%
? 13
 
1.5%
' 11
 
1.2%
: 8
 
0.9%
& 8
 
0.9%
* 5
 
0.6%
% 3
 
0.3%
Decimal Number
ValueCountFrequency (%)
1 32
25.8%
2 21
16.9%
3 19
15.3%
0 17
13.7%
6 10
 
8.1%
4 9
 
7.3%
5 6
 
4.8%
7 4
 
3.2%
9 4
 
3.2%
8 2
 
1.6%
Space Separator
ValueCountFrequency (%)
6477
99.9%
  5
 
0.1%
Open Punctuation
ValueCountFrequency (%)
( 55
87.3%
[ 8
 
12.7%
Close Punctuation
ValueCountFrequency (%)
) 55
87.3%
] 8
 
12.7%
Math Symbol
ValueCountFrequency (%)
~ 10
76.9%
+ 3
 
23.1%
Other Symbol
ValueCountFrequency (%)
8
72.7%
3
 
27.3%
Dash Punctuation
ValueCountFrequency (%)
- 133
100.0%
Initial Punctuation
ValueCountFrequency (%)
32
100.0%
Final Punctuation
ValueCountFrequency (%)
32
100.0%
Control
ValueCountFrequency (%)
31
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 23970
74.4%
Common 7874
 
24.4%
Latin 363
 
1.1%
Han 10
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
618
 
2.6%
590
 
2.5%
489
 
2.0%
489
 
2.0%
471
 
2.0%
465
 
1.9%
395
 
1.6%
375
 
1.6%
289
 
1.2%
286
 
1.2%
Other values (641) 19503
81.4%
Latin
ValueCountFrequency (%)
a 36
 
9.9%
o 36
 
9.9%
l 28
 
7.7%
h 22
 
6.1%
t 20
 
5.5%
i 20
 
5.5%
e 19
 
5.2%
y 17
 
4.7%
m 16
 
4.4%
p 14
 
3.9%
Other values (29) 135
37.2%
Common
ValueCountFrequency (%)
6477
82.3%
. 383
 
4.9%
, 365
 
4.6%
- 133
 
1.7%
/ 78
 
1.0%
( 55
 
0.7%
) 55
 
0.7%
32
 
0.4%
1 32
 
0.4%
32
 
0.4%
Other values (24) 232
 
2.9%
Han
ValueCountFrequency (%)
2
20.0%
2
20.0%
1
10.0%
1
10.0%
1
10.0%
1
10.0%
1
10.0%
1
10.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 23970
74.4%
ASCII 8157
 
25.3%
Punctuation 64
 
0.2%
Misc Symbols 11
 
< 0.1%
CJK 10
 
< 0.1%
None 5
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
6477
79.4%
. 383
 
4.7%
, 365
 
4.5%
- 133
 
1.6%
/ 78
 
1.0%
( 55
 
0.7%
) 55
 
0.7%
a 36
 
0.4%
o 36
 
0.4%
1 32
 
0.4%
Other values (58) 507
 
6.2%
Hangul
ValueCountFrequency (%)
618
 
2.6%
590
 
2.5%
489
 
2.0%
489
 
2.0%
471
 
2.0%
465
 
1.9%
395
 
1.6%
375
 
1.6%
289
 
1.2%
286
 
1.2%
Other values (641) 19503
81.4%
Punctuation
ValueCountFrequency (%)
32
50.0%
32
50.0%
Misc Symbols
ValueCountFrequency (%)
8
72.7%
3
 
27.3%
None
ValueCountFrequency (%)
  5
100.0%
CJK
ValueCountFrequency (%)
2
20.0%
2
20.0%
1
10.0%
1
10.0%
1
10.0%
1
10.0%
1
10.0%
1
10.0%
Distinct63
Distinct (%)5.7%
Missing0
Missing (%)0.0%
Memory size8.8 KiB
2024-03-14T10:10:58.684661image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length18
Median length2
Mean length3.8842676
Min length1

Characters and Unicode

Total characters4296
Distinct characters114
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

Unique28 ?
Unique (%)2.5%

Sample

1st row초보자
2nd row초보자
3rd row누구나
4th row누구나
5th row초보자
ValueCountFrequency (%)
성인 534
34.6%
유아 85
 
5.5%
영아 82
 
5.3%
엄마랑함께 61
 
4.0%
복지관 58
 
3.8%
회원 58
 
3.8%
58
 
3.8%
교육 58
 
3.8%
수강 58
 
3.8%
신청자 58
 
3.8%
Other values (65) 432
28.0%
2024-03-14T10:10:58.941626image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
585
 
13.6%
566
 
13.2%
426
 
9.9%
172
 
4.0%
105
 
2.4%
87
 
2.0%
84
 
2.0%
83
 
1.9%
82
 
1.9%
78
 
1.8%
Other values (104) 2028
47.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3765
87.6%
Space Separator 426
 
9.9%
Other Punctuation 29
 
0.7%
Decimal Number 28
 
0.7%
Dash Punctuation 24
 
0.6%
Control 12
 
0.3%
Close Punctuation 5
 
0.1%
Open Punctuation 5
 
0.1%
Math Symbol 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
585
 
15.5%
566
 
15.0%
172
 
4.6%
105
 
2.8%
87
 
2.3%
84
 
2.2%
83
 
2.2%
82
 
2.2%
78
 
2.1%
75
 
2.0%
Other values (89) 1848
49.1%
Decimal Number
ValueCountFrequency (%)
6 13
46.4%
0 9
32.1%
7 3
 
10.7%
2 1
 
3.6%
1 1
 
3.6%
5 1
 
3.6%
Other Punctuation
ValueCountFrequency (%)
/ 17
58.6%
, 10
34.5%
. 2
 
6.9%
Space Separator
ValueCountFrequency (%)
426
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 24
100.0%
Control
ValueCountFrequency (%)
12
100.0%
Close Punctuation
ValueCountFrequency (%)
) 5
100.0%
Open Punctuation
ValueCountFrequency (%)
( 5
100.0%
Math Symbol
ValueCountFrequency (%)
~ 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3764
87.6%
Common 531
 
12.4%
Han 1
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
585
 
15.5%
566
 
15.0%
172
 
4.6%
105
 
2.8%
87
 
2.3%
84
 
2.2%
83
 
2.2%
82
 
2.2%
78
 
2.1%
75
 
2.0%
Other values (88) 1847
49.1%
Common
ValueCountFrequency (%)
426
80.2%
- 24
 
4.5%
/ 17
 
3.2%
6 13
 
2.4%
12
 
2.3%
, 10
 
1.9%
0 9
 
1.7%
) 5
 
0.9%
( 5
 
0.9%
7 3
 
0.6%
Other values (5) 7
 
1.3%
Han
ValueCountFrequency (%)
1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3764
87.6%
ASCII 531
 
12.4%
CJK 1
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
585
 
15.5%
566
 
15.0%
172
 
4.6%
105
 
2.8%
87
 
2.3%
84
 
2.2%
83
 
2.2%
82
 
2.2%
78
 
2.1%
75
 
2.0%
Other values (88) 1847
49.1%
ASCII
ValueCountFrequency (%)
426
80.2%
- 24
 
4.5%
/ 17
 
3.2%
6 13
 
2.4%
12
 
2.3%
, 10
 
1.9%
0 9
 
1.7%
) 5
 
0.9%
( 5
 
0.9%
7 3
 
0.6%
Other values (5) 7
 
1.3%
CJK
ValueCountFrequency (%)
1
100.0%

교육방법구분
Categorical

IMBALANCE 

Distinct3
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size8.8 KiB
오프라인
1086 
참여형
 
14
집합교육
 
6

Length

Max length4
Median length4
Mean length3.9873418
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
오프라인 1086
98.2%
참여형 14
 
1.3%
집합교육 6
 
0.5%

Length

2024-03-14T10:10:59.053951image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T10:10:59.133780image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
오프라인 1086
98.2%
참여형 14
 
1.3%
집합교육 6
 
0.5%
Distinct130
Distinct (%)11.8%
Missing0
Missing (%)0.0%
Memory size8.8 KiB
2024-03-14T10:10:59.269332image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length22
Median length18
Mean length3.443038
Min length1

Characters and Unicode

Total characters3808
Distinct characters53
Distinct categories9 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique50 ?
Unique (%)4.5%

Sample

1st row목요일
2nd row목요일
3rd row화요일
4th row금요일
5th row화요일
ValueCountFrequency (%)
매주 514
30.3%
165
 
9.7%
136
 
8.0%
131
 
7.7%
119
 
7.0%
112
 
6.6%
101
 
6.0%
화,목 30
 
1.8%
월,수,금 21
 
1.2%
목요일 19
 
1.1%
Other values (82) 346
20.4%
2024-03-14T10:10:59.545473image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
588
15.4%
543
14.3%
538
14.1%
300
7.9%
262
6.9%
, 254
6.7%
251
6.6%
240
6.3%
238
6.2%
128
 
3.4%
Other values (43) 466
12.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2791
73.3%
Space Separator 588
 
15.4%
Other Punctuation 302
 
7.9%
Decimal Number 51
 
1.3%
Math Symbol 34
 
0.9%
Dash Punctuation 22
 
0.6%
Close Punctuation 8
 
0.2%
Open Punctuation 8
 
0.2%
Control 4
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
543
19.5%
538
19.3%
300
10.7%
262
9.4%
251
9.0%
240
8.6%
238
8.5%
128
 
4.6%
116
 
4.2%
78
 
2.8%
Other values (29) 97
 
3.5%
Decimal Number
ValueCountFrequency (%)
1 20
39.2%
8 12
23.5%
7 10
19.6%
2 5
 
9.8%
4 4
 
7.8%
Other Punctuation
ValueCountFrequency (%)
, 254
84.1%
/ 30
 
9.9%
? 18
 
6.0%
Space Separator
ValueCountFrequency (%)
588
100.0%
Math Symbol
ValueCountFrequency (%)
~ 34
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 22
100.0%
Close Punctuation
ValueCountFrequency (%)
) 8
100.0%
Open Punctuation
ValueCountFrequency (%)
( 8
100.0%
Control
ValueCountFrequency (%)
4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2791
73.3%
Common 1017
 
26.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
543
19.5%
538
19.3%
300
10.7%
262
9.4%
251
9.0%
240
8.6%
238
8.5%
128
 
4.6%
116
 
4.2%
78
 
2.8%
Other values (29) 97
 
3.5%
Common
ValueCountFrequency (%)
588
57.8%
, 254
25.0%
~ 34
 
3.3%
/ 30
 
2.9%
- 22
 
2.2%
1 20
 
2.0%
? 18
 
1.8%
8 12
 
1.2%
7 10
 
1.0%
) 8
 
0.8%
Other values (4) 21
 
2.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2791
73.3%
ASCII 1017
 
26.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
588
57.8%
, 254
25.0%
~ 34
 
3.3%
/ 30
 
2.9%
- 22
 
2.2%
1 20
 
2.0%
? 18
 
1.8%
8 12
 
1.2%
7 10
 
1.0%
) 8
 
0.8%
Other values (4) 21
 
2.1%
Hangul
ValueCountFrequency (%)
543
19.5%
538
19.3%
300
10.7%
262
9.4%
251
9.0%
240
8.6%
238
8.5%
128
 
4.6%
116
 
4.2%
78
 
2.8%
Other values (29) 97
 
3.5%
Distinct67
Distinct (%)6.1%
Missing0
Missing (%)0.0%
Memory size8.8 KiB
2024-03-14T10:10:59.754117image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length9.1030741
Min length1

Characters and Unicode

Total characters10068
Distinct characters152
Distinct categories6 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique10 ?
Unique (%)0.9%

Sample

1st row평생학습관
2nd row평생학습관
3rd row평생학습관
4th row평생학습관
5th row평생학습관
ValueCountFrequency (%)
홈플러스 276
16.3%
평생교육스쿨 276
16.3%
롯데마트 199
11.7%
문화센터 199
11.7%
평생교육원 68
 
4.0%
원광대학교 58
 
3.4%
익산시노인종합복지관 58
 
3.4%
익산시립도서관 34
 
2.0%
평생학습관 32
 
1.9%
여성회관 30
 
1.8%
Other values (67) 467
27.5%
2024-03-14T10:11:00.071634image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
591
 
5.9%
560
 
5.6%
460
 
4.6%
411
 
4.1%
403
 
4.0%
403
 
4.0%
400
 
4.0%
374
 
3.7%
289
 
2.9%
276
 
2.7%
Other values (142) 5901
58.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 9419
93.6%
Space Separator 591
 
5.9%
Lowercase Letter 24
 
0.2%
Decimal Number 14
 
0.1%
Uppercase Letter 12
 
0.1%
Dash Punctuation 8
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
560
 
5.9%
460
 
4.9%
411
 
4.4%
403
 
4.3%
403
 
4.3%
400
 
4.2%
374
 
4.0%
289
 
3.1%
276
 
2.9%
276
 
2.9%
Other values (131) 5567
59.1%
Lowercase Letter
ValueCountFrequency (%)
c 6
25.0%
a 6
25.0%
m 6
25.0%
y 6
25.0%
Uppercase Letter
ValueCountFrequency (%)
Y 3
25.0%
W 3
25.0%
C 3
25.0%
A 3
25.0%
Space Separator
ValueCountFrequency (%)
591
100.0%
Decimal Number
ValueCountFrequency (%)
2 14
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 8
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 9419
93.6%
Common 613
 
6.1%
Latin 36
 
0.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
560
 
5.9%
460
 
4.9%
411
 
4.4%
403
 
4.3%
403
 
4.3%
400
 
4.2%
374
 
4.0%
289
 
3.1%
276
 
2.9%
276
 
2.9%
Other values (131) 5567
59.1%
Latin
ValueCountFrequency (%)
c 6
16.7%
a 6
16.7%
m 6
16.7%
y 6
16.7%
Y 3
8.3%
W 3
8.3%
C 3
8.3%
A 3
8.3%
Common
ValueCountFrequency (%)
591
96.4%
2 14
 
2.3%
- 8
 
1.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 9419
93.6%
ASCII 649
 
6.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
591
91.1%
2 14
 
2.2%
- 8
 
1.2%
c 6
 
0.9%
a 6
 
0.9%
m 6
 
0.9%
y 6
 
0.9%
Y 3
 
0.5%
W 3
 
0.5%
C 3
 
0.5%
Hangul
ValueCountFrequency (%)
560
 
5.9%
460
 
4.9%
411
 
4.4%
403
 
4.3%
403
 
4.3%
400
 
4.2%
374
 
4.0%
289
 
3.1%
276
 
2.9%
276
 
2.9%
Other values (131) 5567
59.1%
Distinct65
Distinct (%)5.9%
Missing0
Missing (%)0.0%
Memory size8.8 KiB
2024-03-14T10:11:00.325996image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length26
Median length2
Mean length2.2206148
Min length1

Characters and Unicode

Total characters2456
Distinct characters56
Distinct categories9 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique24 ?
Unique (%)2.2%

Sample

1st row20
2nd row16
3rd row12
4th row16
5th row16
ValueCountFrequency (%)
10 269
23.3%
20 209
18.1%
15 137
11.9%
30 92
 
8.0%
25 34
 
2.9%
40 31
 
2.7%
12 29
 
2.5%
28
 
2.4%
0 22
 
1.9%
5 21
 
1.8%
Other values (60) 284
24.6%
2024-03-14T10:11:00.676824image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 685
27.9%
1 491
20.0%
2 337
13.7%
5 220
 
9.0%
3 136
 
5.5%
83
 
3.4%
6 56
 
2.3%
4 54
 
2.2%
8 37
 
1.5%
28
 
1.1%
Other values (46) 329
13.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2026
82.5%
Other Letter 295
 
12.0%
Space Separator 83
 
3.4%
Other Punctuation 27
 
1.1%
Dash Punctuation 16
 
0.7%
Control 3
 
0.1%
Math Symbol 2
 
0.1%
Open Punctuation 2
 
0.1%
Close Punctuation 2
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
28
 
9.5%
23
 
7.8%
21
 
7.1%
20
 
6.8%
20
 
6.8%
20
 
6.8%
13
 
4.4%
12
 
4.1%
12
 
4.1%
12
 
4.1%
Other values (27) 114
38.6%
Decimal Number
ValueCountFrequency (%)
0 685
33.8%
1 491
24.2%
2 337
16.6%
5 220
 
10.9%
3 136
 
6.7%
6 56
 
2.8%
4 54
 
2.7%
8 37
 
1.8%
7 8
 
0.4%
9 2
 
0.1%
Other Punctuation
ValueCountFrequency (%)
, 12
44.4%
: 11
40.7%
/ 4
 
14.8%
Space Separator
ValueCountFrequency (%)
83
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 16
100.0%
Control
ValueCountFrequency (%)
3
100.0%
Math Symbol
ValueCountFrequency (%)
~ 2
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 2161
88.0%
Hangul 295
 
12.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
28
 
9.5%
23
 
7.8%
21
 
7.1%
20
 
6.8%
20
 
6.8%
20
 
6.8%
13
 
4.4%
12
 
4.1%
12
 
4.1%
12
 
4.1%
Other values (27) 114
38.6%
Common
ValueCountFrequency (%)
0 685
31.7%
1 491
22.7%
2 337
15.6%
5 220
 
10.2%
3 136
 
6.3%
83
 
3.8%
6 56
 
2.6%
4 54
 
2.5%
8 37
 
1.7%
- 16
 
0.7%
Other values (9) 46
 
2.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2161
88.0%
Hangul 295
 
12.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 685
31.7%
1 491
22.7%
2 337
15.6%
5 220
 
10.2%
3 136
 
6.3%
83
 
3.8%
6 56
 
2.6%
4 54
 
2.5%
8 37
 
1.7%
- 16
 
0.7%
Other values (9) 46
 
2.1%
Hangul
ValueCountFrequency (%)
28
 
9.5%
23
 
7.8%
21
 
7.1%
20
 
6.8%
20
 
6.8%
20
 
6.8%
13
 
4.4%
12
 
4.1%
12
 
4.1%
12
 
4.1%
Other values (27) 114
38.6%
Distinct104
Distinct (%)9.4%
Missing0
Missing (%)0.0%
Memory size8.8 KiB
2024-03-14T10:11:00.863049image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length29
Median length25
Mean length6.494575
Min length1

Characters and Unicode

Total characters7183
Distinct characters69
Distinct categories9 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique37 ?
Unique (%)3.3%

Sample

1st row80,000
2nd row80,000
3rd row120,000
4th row120,000
5th row80,000
ValueCountFrequency (%)
121
 
10.7%
80,000 80
 
7.1%
0 80
 
7.1%
무료 74
 
6.6%
55,000 58
 
5.1%
60,000 51
 
4.5%
2,000 46
 
4.1%
30,000 39
 
3.5%
15,000 34
 
3.0%
10,000 31
 
2.8%
Other values (104) 513
45.5%
2024-03-14T10:11:01.146525image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 3127
43.5%
955
 
13.3%
, 824
 
11.5%
5 310
 
4.3%
/ 260
 
3.6%
1 212
 
3.0%
2 187
 
2.6%
3 172
 
2.4%
- 129
 
1.8%
117
 
1.6%
Other values (59) 890
 
12.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 4275
59.5%
Other Punctuation 1088
 
15.1%
Space Separator 955
 
13.3%
Other Letter 711
 
9.9%
Dash Punctuation 129
 
1.8%
Open Punctuation 11
 
0.2%
Close Punctuation 11
 
0.2%
Control 2
 
< 0.1%
Math Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
117
16.5%
113
15.9%
84
11.8%
75
10.5%
61
8.6%
52
7.3%
31
 
4.4%
25
 
3.5%
17
 
2.4%
16
 
2.3%
Other values (40) 120
16.9%
Decimal Number
ValueCountFrequency (%)
0 3127
73.1%
5 310
 
7.3%
1 212
 
5.0%
2 187
 
4.4%
3 172
 
4.0%
8 89
 
2.1%
6 70
 
1.6%
4 47
 
1.1%
7 43
 
1.0%
9 18
 
0.4%
Other Punctuation
ValueCountFrequency (%)
, 824
75.7%
/ 260
 
23.9%
% 4
 
0.4%
Space Separator
ValueCountFrequency (%)
955
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 129
100.0%
Open Punctuation
ValueCountFrequency (%)
( 11
100.0%
Close Punctuation
ValueCountFrequency (%)
) 11
100.0%
Control
ValueCountFrequency (%)
2
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 6472
90.1%
Hangul 711
 
9.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
117
16.5%
113
15.9%
84
11.8%
75
10.5%
61
8.6%
52
7.3%
31
 
4.4%
25
 
3.5%
17
 
2.4%
16
 
2.3%
Other values (40) 120
16.9%
Common
ValueCountFrequency (%)
0 3127
48.3%
955
 
14.8%
, 824
 
12.7%
5 310
 
4.8%
/ 260
 
4.0%
1 212
 
3.3%
2 187
 
2.9%
3 172
 
2.7%
- 129
 
2.0%
8 89
 
1.4%
Other values (9) 207
 
3.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 6472
90.1%
Hangul 711
 
9.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 3127
48.3%
955
 
14.8%
, 824
 
12.7%
5 310
 
4.8%
/ 260
 
4.0%
1 212
 
3.3%
2 187
 
2.9%
3 172
 
2.7%
- 129
 
2.0%
8 89
 
1.4%
Other values (9) 207
 
3.2%
Hangul
ValueCountFrequency (%)
117
16.5%
113
15.9%
84
11.8%
75
10.5%
61
8.6%
52
7.3%
31
 
4.4%
25
 
3.5%
17
 
2.4%
16
 
2.3%
Other values (40) 120
16.9%
Distinct124
Distinct (%)11.2%
Missing0
Missing (%)0.0%
Memory size8.8 KiB
2024-03-14T10:11:01.367127image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length33
Median length24
Mean length17.471067
Min length10

Characters and Unicode

Total characters19323
Distinct characters117
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

Unique72 ?
Unique (%)6.5%

Sample

1st row전주시 덕진구 구총목로 11
2nd row전주시 덕진구 구총목로 11
3rd row전주시 덕진구 구총목로 11
4th row전주시 덕진구 구총목로 11
5th row전주시 덕진구 구총목로 11
ValueCountFrequency (%)
익산시 1005
26.8%
무왕로 501
13.3%
1035(영등동831-1 276
 
7.4%
25길 205
 
5.5%
30(부송동 205
 
5.5%
익산대로 97
 
2.6%
동서로 75
 
2.0%
460 71
 
1.9%
103 58
 
1.5%
선화로6길 34
 
0.9%
Other values (216) 1227
32.7%
2024-03-14T10:11:01.709062image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2718
 
14.1%
1 1202
 
6.2%
1134
 
5.9%
1107
 
5.7%
1056
 
5.5%
1048
 
5.4%
3 1020
 
5.3%
840
 
4.3%
5 687
 
3.6%
0 679
 
3.5%
Other values (107) 7832
40.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 9846
51.0%
Decimal Number 5078
26.3%
Space Separator 2718
 
14.1%
Open Punctuation 660
 
3.4%
Close Punctuation 660
 
3.4%
Dash Punctuation 350
 
1.8%
Other Punctuation 10
 
0.1%
Control 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
1134
11.5%
1107
11.2%
1056
10.7%
1048
10.6%
840
 
8.5%
561
 
5.7%
555
 
5.6%
445
 
4.5%
343
 
3.5%
315
 
3.2%
Other values (91) 2442
24.8%
Decimal Number
ValueCountFrequency (%)
1 1202
23.7%
3 1020
20.1%
5 687
13.5%
0 679
13.4%
2 548
10.8%
8 354
 
7.0%
6 220
 
4.3%
4 213
 
4.2%
7 100
 
2.0%
9 55
 
1.1%
Space Separator
ValueCountFrequency (%)
2718
100.0%
Open Punctuation
ValueCountFrequency (%)
( 660
100.0%
Close Punctuation
ValueCountFrequency (%)
) 660
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 350
100.0%
Other Punctuation
ValueCountFrequency (%)
, 10
100.0%
Control
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 9846
51.0%
Common 9477
49.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
1134
11.5%
1107
11.2%
1056
10.7%
1048
10.6%
840
 
8.5%
561
 
5.7%
555
 
5.6%
445
 
4.5%
343
 
3.5%
315
 
3.2%
Other values (91) 2442
24.8%
Common
ValueCountFrequency (%)
2718
28.7%
1 1202
12.7%
3 1020
 
10.8%
5 687
 
7.2%
0 679
 
7.2%
( 660
 
7.0%
) 660
 
7.0%
2 548
 
5.8%
8 354
 
3.7%
- 350
 
3.7%
Other values (6) 599
 
6.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 9846
51.0%
ASCII 9477
49.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2718
28.7%
1 1202
12.7%
3 1020
 
10.8%
5 687
 
7.2%
0 679
 
7.2%
( 660
 
7.0%
) 660
 
7.0%
2 548
 
5.8%
8 354
 
3.7%
- 350
 
3.7%
Other values (6) 599
 
6.3%
Hangul
ValueCountFrequency (%)
1134
11.5%
1107
11.2%
1056
10.7%
1048
10.6%
840
 
8.5%
561
 
5.7%
555
 
5.6%
445
 
4.5%
343
 
3.5%
315
 
3.2%
Other values (91) 2442
24.8%
Distinct68
Distinct (%)6.1%
Missing0
Missing (%)0.0%
Memory size8.8 KiB
2024-03-14T10:11:01.936637image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length9.3146474
Min length4

Characters and Unicode

Total characters10302
Distinct characters138
Distinct categories5 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)0.1%

Sample

1st row전라북도 전주시평생학습관
2nd row전라북도 전주시평생학습관
3rd row전라북도 전주시평생학습관
4th row전라북도 전주시평생학습관
5th row전라북도 전주시평생학습관
ValueCountFrequency (%)
홈플러스 276
16.2%
평생교육스쿨 276
16.2%
롯데마트 199
11.7%
문화센터 199
11.7%
원광대학교 58
 
3.4%
평생교육원 58
 
3.4%
익산시노인종합복지관 58
 
3.4%
전라북도 36
 
2.1%
익산시립도서관 34
 
2.0%
여성회관 30
 
1.8%
Other values (64) 482
28.3%
2024-03-14T10:11:02.235164image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
600
 
5.8%
555
 
5.4%
455
 
4.4%
406
 
3.9%
401
 
3.9%
398
 
3.9%
398
 
3.9%
374
 
3.6%
289
 
2.8%
276
 
2.7%
Other values (128) 6150
59.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 9653
93.7%
Space Separator 600
 
5.8%
Lowercase Letter 24
 
0.2%
Decimal Number 13
 
0.1%
Uppercase Letter 12
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
555
 
5.7%
455
 
4.7%
406
 
4.2%
401
 
4.2%
398
 
4.1%
398
 
4.1%
374
 
3.9%
289
 
3.0%
276
 
2.9%
276
 
2.9%
Other values (118) 5825
60.3%
Lowercase Letter
ValueCountFrequency (%)
a 6
25.0%
c 6
25.0%
y 6
25.0%
m 6
25.0%
Uppercase Letter
ValueCountFrequency (%)
Y 3
25.0%
C 3
25.0%
A 3
25.0%
W 3
25.0%
Space Separator
ValueCountFrequency (%)
600
100.0%
Decimal Number
ValueCountFrequency (%)
2 13
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 9653
93.7%
Common 613
 
6.0%
Latin 36
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
555
 
5.7%
455
 
4.7%
406
 
4.2%
401
 
4.2%
398
 
4.1%
398
 
4.1%
374
 
3.9%
289
 
3.0%
276
 
2.9%
276
 
2.9%
Other values (118) 5825
60.3%
Latin
ValueCountFrequency (%)
a 6
16.7%
c 6
16.7%
y 6
16.7%
m 6
16.7%
Y 3
8.3%
C 3
8.3%
A 3
8.3%
W 3
8.3%
Common
ValueCountFrequency (%)
600
97.9%
2 13
 
2.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 9653
93.7%
ASCII 649
 
6.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
600
92.4%
2 13
 
2.0%
a 6
 
0.9%
c 6
 
0.9%
y 6
 
0.9%
m 6
 
0.9%
Y 3
 
0.5%
C 3
 
0.5%
A 3
 
0.5%
W 3
 
0.5%
Hangul
ValueCountFrequency (%)
555
 
5.7%
455
 
4.7%
406
 
4.2%
401
 
4.2%
398
 
4.1%
398
 
4.1%
374
 
3.9%
289
 
3.0%
276
 
2.9%
276
 
2.9%
Other values (118) 5825
60.3%
Distinct116
Distinct (%)10.5%
Missing0
Missing (%)0.0%
Memory size8.8 KiB
2024-03-14T10:11:02.475130image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length12
Mean length12.169982
Min length1

Characters and Unicode

Total characters13460
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique53 ?
Unique (%)4.8%

Sample

1st row063-241-1123
2nd row063-241-1123
3rd row063-241-1123
4th row063-241-1123
5th row063-241-1123
ValueCountFrequency (%)
063-859-8003 276
25.0%
063-830-2590~1 199
18.0%
063-837-7722 58
 
5.2%
063-850-5513 58
 
5.2%
063-859-4986 30
 
2.7%
063-831-0250 28
 
2.5%
063-241-1123 22
 
2.0%
063-840-7200 20
 
1.8%
20
 
1.8%
063-859-3896 20
 
1.8%
Other values (106) 375
33.9%
2024-03-14T10:11:02.840396image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 2454
18.2%
- 2192
16.3%
3 2130
15.8%
8 1431
10.6%
6 1277
9.5%
5 1134
8.4%
9 838
 
6.2%
2 646
 
4.8%
1 490
 
3.6%
7 345
 
2.6%
Other values (2) 523
 
3.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 11064
82.2%
Dash Punctuation 2192
 
16.3%
Math Symbol 204
 
1.5%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 2454
22.2%
3 2130
19.3%
8 1431
12.9%
6 1277
11.5%
5 1134
10.2%
9 838
 
7.6%
2 646
 
5.8%
1 490
 
4.4%
7 345
 
3.1%
4 319
 
2.9%
Dash Punctuation
ValueCountFrequency (%)
- 2192
100.0%
Math Symbol
ValueCountFrequency (%)
~ 204
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 13460
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 2454
18.2%
- 2192
16.3%
3 2130
15.8%
8 1431
10.6%
6 1277
9.5%
5 1134
8.4%
9 838
 
6.2%
2 646
 
4.8%
1 490
 
3.6%
7 345
 
2.6%
Other values (2) 523
 
3.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 13460
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 2454
18.2%
- 2192
16.3%
3 2130
15.8%
8 1431
10.6%
6 1277
9.5%
5 1134
8.4%
9 838
 
6.2%
2 646
 
4.8%
1 490
 
3.6%
7 345
 
2.6%
Other values (2) 523
 
3.9%
Distinct64
Distinct (%)5.8%
Missing0
Missing (%)0.0%
Memory size8.8 KiB
2024-03-14T10:11:03.035311image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length16
Median length10
Mean length7.4954792
Min length1

Characters and Unicode

Total characters8290
Distinct characters48
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique20 ?
Unique (%)1.8%

Sample

1st row2015-08-20
2nd row2015-08-20
3rd row2015-08-20
4th row2015-08-20
5th row2015-08-20
ValueCountFrequency (%)
2015-01-22 276
24.4%
222
19.6%
2015-02-02 80
 
7.1%
2015-02-10 58
 
5.1%
2015-01-01 49
 
4.3%
수시 35
 
3.1%
2015-02-25 34
 
3.0%
2015-03-10 30
 
2.7%
상시(선착순 28
 
2.5%
2014-12-22 26
 
2.3%
Other values (59) 293
25.9%
2024-03-14T10:11:03.316596image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 1763
21.3%
0 1691
20.4%
- 1658
20.0%
1 1391
16.8%
5 742
9.0%
115
 
1.4%
3 80
 
1.0%
4 62
 
0.7%
59
 
0.7%
8 53
 
0.6%
Other values (38) 676
 
8.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 5868
70.8%
Dash Punctuation 1658
 
20.0%
Other Letter 634
 
7.6%
Other Punctuation 45
 
0.5%
Open Punctuation 29
 
0.3%
Close Punctuation 29
 
0.3%
Space Separator 27
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
115
18.1%
59
 
9.3%
52
 
8.2%
48
 
7.6%
37
 
5.8%
37
 
5.8%
31
 
4.9%
30
 
4.7%
28
 
4.4%
28
 
4.4%
Other values (22) 169
26.7%
Decimal Number
ValueCountFrequency (%)
2 1763
30.0%
0 1691
28.8%
1 1391
23.7%
5 742
12.6%
3 80
 
1.4%
4 62
 
1.1%
8 53
 
0.9%
6 42
 
0.7%
7 28
 
0.5%
9 16
 
0.3%
Other Punctuation
ValueCountFrequency (%)
, 40
88.9%
. 5
 
11.1%
Dash Punctuation
ValueCountFrequency (%)
- 1658
100.0%
Open Punctuation
ValueCountFrequency (%)
( 29
100.0%
Close Punctuation
ValueCountFrequency (%)
) 29
100.0%
Space Separator
ValueCountFrequency (%)
27
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 7656
92.4%
Hangul 634
 
7.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
115
18.1%
59
 
9.3%
52
 
8.2%
48
 
7.6%
37
 
5.8%
37
 
5.8%
31
 
4.9%
30
 
4.7%
28
 
4.4%
28
 
4.4%
Other values (22) 169
26.7%
Common
ValueCountFrequency (%)
2 1763
23.0%
0 1691
22.1%
- 1658
21.7%
1 1391
18.2%
5 742
9.7%
3 80
 
1.0%
4 62
 
0.8%
8 53
 
0.7%
6 42
 
0.5%
, 40
 
0.5%
Other values (6) 134
 
1.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 7656
92.4%
Hangul 634
 
7.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 1763
23.0%
0 1691
22.1%
- 1658
21.7%
1 1391
18.2%
5 742
9.7%
3 80
 
1.0%
4 62
 
0.8%
8 53
 
0.7%
6 42
 
0.5%
, 40
 
0.5%
Other values (6) 134
 
1.8%
Hangul
ValueCountFrequency (%)
115
18.1%
59
 
9.3%
52
 
8.2%
48
 
7.6%
37
 
5.8%
37
 
5.8%
31
 
4.9%
30
 
4.7%
28
 
4.4%
28
 
4.4%
Other values (22) 169
26.7%
Distinct60
Distinct (%)5.4%
Missing0
Missing (%)0.0%
Memory size8.8 KiB
2024-03-14T10:11:03.481985image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length15
Median length14
Mean length8.4068716
Min length1

Characters and Unicode

Total characters9298
Distinct characters50
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique20 ?
Unique (%)1.8%

Sample

1st row2015-09-10
2nd row2015-09-10
3rd row2015-09-10
4th row2015-09-10
5th row2015-09-10
ValueCountFrequency (%)
2015-02-28(선착순 276
23.6%
256
21.9%
2015-02-27 59
 
5.0%
2015-02-12 58
 
5.0%
상시 53
 
4.5%
선착순 42
 
3.6%
인터넷접수 34
 
2.9%
2015-03-13 30
 
2.6%
상시(선착순 28
 
2.4%
수시접수 27
 
2.3%
Other values (55) 307
26.2%
2024-03-14T10:11:03.751896image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 1543
16.6%
- 1482
15.9%
0 1251
13.5%
1 922
9.9%
5 599
 
6.4%
393
 
4.2%
392
 
4.2%
392
 
4.2%
( 351
 
3.8%
) 351
 
3.8%
Other values (40) 1622
17.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 4981
53.6%
Other Letter 2028
21.8%
Dash Punctuation 1482
 
15.9%
Open Punctuation 351
 
3.8%
Close Punctuation 351
 
3.8%
Space Separator 64
 
0.7%
Other Punctuation 41
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
393
19.4%
392
19.3%
392
19.3%
168
8.3%
111
 
5.5%
81
 
4.0%
61
 
3.0%
54
 
2.7%
43
 
2.1%
37
 
1.8%
Other values (24) 296
14.6%
Decimal Number
ValueCountFrequency (%)
2 1543
31.0%
0 1251
25.1%
1 922
18.5%
5 599
 
12.0%
8 291
 
5.8%
3 190
 
3.8%
7 69
 
1.4%
9 40
 
0.8%
6 40
 
0.8%
4 36
 
0.7%
Other Punctuation
ValueCountFrequency (%)
, 39
95.1%
. 2
 
4.9%
Dash Punctuation
ValueCountFrequency (%)
- 1482
100.0%
Open Punctuation
ValueCountFrequency (%)
( 351
100.0%
Close Punctuation
ValueCountFrequency (%)
) 351
100.0%
Space Separator
ValueCountFrequency (%)
64
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 7270
78.2%
Hangul 2028
 
21.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
393
19.4%
392
19.3%
392
19.3%
168
8.3%
111
 
5.5%
81
 
4.0%
61
 
3.0%
54
 
2.7%
43
 
2.1%
37
 
1.8%
Other values (24) 296
14.6%
Common
ValueCountFrequency (%)
2 1543
21.2%
- 1482
20.4%
0 1251
17.2%
1 922
12.7%
5 599
 
8.2%
( 351
 
4.8%
) 351
 
4.8%
8 291
 
4.0%
3 190
 
2.6%
7 69
 
0.9%
Other values (6) 221
 
3.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 7270
78.2%
Hangul 2028
 
21.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 1543
21.2%
- 1482
20.4%
0 1251
17.2%
1 922
12.7%
5 599
 
8.2%
( 351
 
4.8%
) 351
 
4.8%
8 291
 
4.0%
3 190
 
2.6%
7 69
 
0.9%
Other values (6) 221
 
3.0%
Hangul
ValueCountFrequency (%)
393
19.4%
392
19.3%
392
19.3%
168
8.3%
111
 
5.5%
81
 
4.0%
61
 
3.0%
54
 
2.7%
43
 
2.1%
37
 
1.8%
Other values (24) 296
14.6%
Distinct30
Distinct (%)2.7%
Missing0
Missing (%)0.0%
Memory size8.8 KiB
방문/인터넷/모바일
276 
전화접수
217 
방문접수
121 
방문접수, 인터넷접수, 전화접수
58 
회원가입 후 방문접수
58 
Other values (25)
376 

Length

Max length17
Median length15
Mean length7.7359855
Min length1

Unique

Unique5 ?
Unique (%)0.5%

Sample

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

Common Values

ValueCountFrequency (%)
방문/인터넷/모바일 276
25.0%
전화접수 217
19.6%
방문접수 121
10.9%
방문접수, 인터넷접수, 전화접수 58
 
5.2%
회원가입 후 방문접수 58
 
5.2%
인터넷접수 54
 
4.9%
전화접수/방문접수 41
 
3.7%
전화접수/홈페이지/이메일접수 31
 
2.8%
본인방문(신분증지참) 30
 
2.7%
전화접수/직접방문 28
 
2.5%
Other values (20) 192
17.4%

Length

2024-03-14T10:11:03.861287image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
방문/인터넷/모바일 276
19.9%
전화접수 276
19.9%
방문접수 238
17.1%
인터넷접수 112
8.1%
65
 
4.7%
회원가입 58
 
4.2%
전화접수/방문접수 41
 
3.0%
직접방문 35
 
2.5%
전화접수/홈페이지/이메일접수 31
 
2.2%
본인방문(신분증지참 30
 
2.2%
Other values (19) 226
16.3%

선정방법구분
Categorical

IMBALANCE 

Distinct3
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size8.8 KiB
-
1005 
선착순
 
95
제한없음
 
6

Length

Max length4
Median length1
Mean length1.1880651
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
- 1005
90.9%
선착순 95
 
8.6%
제한없음 6
 
0.5%

Length

2024-03-14T10:11:03.978646image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T10:11:04.061418image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1005
90.9%
선착순 95
 
8.6%
제한없음 6
 
0.5%
Distinct51
Distinct (%)4.6%
Missing9
Missing (%)0.8%
Memory size8.8 KiB
2024-03-14T10:11:04.237536image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length54
Median length38
Mean length25.868733
Min length1

Characters and Unicode

Total characters28378
Distinct characters35
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique4 ?
Unique (%)0.4%

Sample

1st rowwww.jjedu.or.kr
2nd rowwww.jjedu.or.kr
3rd rowwww.jjedu.or.kr
4th rowwww.jjedu.or.kr
5th rowwww.jjedu.or.kr
ValueCountFrequency (%)
http://school.homeplus.co.kr 276
24.8%
http://culture.lottemart.com 199
17.9%
http://www.iksansilver.or.kr 58
 
5.2%
http://inform.wku.ac.kr 58
 
5.2%
50
 
4.5%
http://lib.iksan.go.kr 34
 
3.1%
http://www.iksan.go.kr 34
 
3.1%
www.swb.or.kr 28
 
2.5%
www.buan.go.kr 24
 
2.2%
www.jjedu.or.kr 22
 
2.0%
Other values (41) 329
29.6%
2024-03-14T10:11:04.593440image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
. 2924
 
10.3%
t 2781
 
9.8%
/ 2723
 
9.6%
o 2332
 
8.2%
r 1574
 
5.5%
h 1569
 
5.5%
p 1289
 
4.5%
w 1271
 
4.5%
k 1213
 
4.3%
l 1150
 
4.1%
Other values (25) 9552
33.7%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 21613
76.2%
Other Punctuation 6613
 
23.3%
Decimal Number 75
 
0.3%
Dash Punctuation 53
 
0.2%
Control 14
 
< 0.1%
Connector Punctuation 9
 
< 0.1%
Space Separator 1
 
< 0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
t 2781
12.9%
o 2332
 
10.8%
r 1574
 
7.3%
h 1569
 
7.3%
p 1289
 
6.0%
w 1271
 
5.9%
k 1213
 
5.6%
l 1150
 
5.3%
c 1130
 
5.2%
s 1110
 
5.1%
Other values (13) 6194
28.7%
Other Punctuation
ValueCountFrequency (%)
. 2924
44.2%
/ 2723
41.2%
: 960
 
14.5%
? 6
 
0.1%
Decimal Number
ValueCountFrequency (%)
0 30
40.0%
2 28
37.3%
4 16
21.3%
5 1
 
1.3%
Dash Punctuation
ValueCountFrequency (%)
- 53
100.0%
Control
ValueCountFrequency (%)
14
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 9
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 21613
76.2%
Common 6765
 
23.8%

Most frequent character per script

Latin
ValueCountFrequency (%)
t 2781
12.9%
o 2332
 
10.8%
r 1574
 
7.3%
h 1569
 
7.3%
p 1289
 
6.0%
w 1271
 
5.9%
k 1213
 
5.6%
l 1150
 
5.3%
c 1130
 
5.2%
s 1110
 
5.1%
Other values (13) 6194
28.7%
Common
ValueCountFrequency (%)
. 2924
43.2%
/ 2723
40.3%
: 960
 
14.2%
- 53
 
0.8%
0 30
 
0.4%
2 28
 
0.4%
4 16
 
0.2%
14
 
0.2%
_ 9
 
0.1%
? 6
 
0.1%
Other values (2) 2
 
< 0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 28378
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 2924
 
10.3%
t 2781
 
9.8%
/ 2723
 
9.6%
o 2332
 
8.2%
r 1574
 
5.5%
h 1569
 
5.5%
p 1289
 
4.5%
w 1271
 
4.5%
k 1213
 
4.3%
l 1150
 
4.1%
Other values (25) 9552
33.7%
Distinct3
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size8.8 KiB
N
1051 
<NA>
 
35
해당없음
 
20

Length

Max length4
Median length1
Mean length1.1491863
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
N 1051
95.0%
<NA> 35
 
3.2%
해당없음 20
 
1.8%

Length

2024-03-14T10:11:04.749052image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T10:11:04.844685image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
n 1051
95.0%
na 35
 
3.2%
해당없음 20
 
1.8%
Distinct4
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size8.8 KiB
N
1050 
<NA>
 
35
해당없음
 
20
Y
 
1

Length

Max length4
Median length1
Mean length1.1491863
Min length1

Unique

Unique1 ?
Unique (%)0.1%

Sample

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

Common Values

ValueCountFrequency (%)
N 1050
94.9%
<NA> 35
 
3.2%
해당없음 20
 
1.8%
Y 1
 
0.1%

Length

2024-03-14T10:11:04.931514image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T10:11:05.031476image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
n 1050
94.9%
na 35
 
3.2%
해당없음 20
 
1.8%
y 1
 
0.1%
Distinct3
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size8.8 KiB
N
1051 
<NA>
 
35
해당없음
 
20

Length

Max length4
Median length1
Mean length1.1491863
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
N 1051
95.0%
<NA> 35
 
3.2%
해당없음 20
 
1.8%

Length

2024-03-14T10:11:05.133745image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T10:11:05.216079image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
n 1051
95.0%
na 35
 
3.2%
해당없음 20
 
1.8%

데이터기준일자
Categorical

IMBALANCE 

Distinct10
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size8.8 KiB
2015-02-28
1005 
2015-09-04
 
24
2015-09-03
 
20
2015-08-25
 
14
2015-10-21
 
11
Other values (5)
 
32

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2015-09-04
2nd row2015-09-04
3rd row2015-09-04
4th row2015-09-04
5th row2015-09-04

Common Values

ValueCountFrequency (%)
2015-02-28 1005
90.9%
2015-09-04 24
 
2.2%
2015-09-03 20
 
1.8%
2015-08-25 14
 
1.3%
2015-10-21 11
 
1.0%
2015-08-19 10
 
0.9%
2015-09-30 9
 
0.8%
2015.10.02 6
 
0.5%
2015-09-14 5
 
0.5%
2015-09-15 2
 
0.2%

Length

2024-03-14T10:11:05.297554image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T10:11:05.389931image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2015-02-28 1005
90.9%
2015-09-04 24
 
2.2%
2015-09-03 20
 
1.8%
2015-08-25 14
 
1.3%
2015-10-21 11
 
1.0%
2015-08-19 10
 
0.9%
2015-09-30 9
 
0.8%
2015.10.02 6
 
0.5%
2015-09-14 5
 
0.5%
2015-09-15 2
 
0.2%

Unnamed: 26
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1106
Missing (%)100.0%
Memory size9.8 KiB

Sample

시군강좌명강사명교육시작일자교육종료일자교육시작시각교육종료시각강좌내용교육대상구분교육방법구분운영요일교육장소강좌정원수수강료교육장도로명주소운영기관명운영기관전화번호접수시작일자접수종료일자접수방법구분선정방법구분홈페이지주소직업능력개발훈련비지원강좌여부학점은행제평가(학점)인정여부평생학습계좌제평가인정여부데이터기준일자Unnamed: 26
0전주시우쿨렐레김현주2015-09-102015-12-2414:0016:00우쿨렐레 악기배우기초보자오프라인목요일평생학습관2080,000전주시 덕진구 구총목로 11전라북도 전주시평생학습관063-241-11232015-08-202015-09-10방문접수선착순www.jjedu.or.krNNN2015-09-04<NA>
1전주시여행스케치김성욱2015-09-102015-12-2419:0021:00드로잉교육초보자오프라인목요일평생학습관1680,000전주시 덕진구 구총목로 11전라북도 전주시평생학습관063-241-11232015-08-202015-09-10방문접수선착순www.jjedu.or.krNNN2015-09-04<NA>
2전주시서예문인화작품반김연2015-09-082015-12-229:3012:30문인화교육누구나오프라인화요일평생학습관12120,000전주시 덕진구 구총목로 11전라북도 전주시평생학습관063-241-11232015-08-202015-09-10방문접수선착순www.jjedu.or.krNNN2015-09-04<NA>
3전주시문인화김연2015-09-112015-12-189:3012:30문인화교육누구나오프라인금요일평생학습관16120,000전주시 덕진구 구총목로 11전라북도 전주시평생학습관063-241-11232015-08-202015-09-10방문접수선착순www.jjedu.or.krNNN2015-09-04<NA>
4전주시사군자입문반김연2015-09-082015-12-2213:0015:00사군자초급반초보자오프라인화요일평생학습관1680,000전주시 덕진구 구총목로 11전라북도 전주시평생학습관063-241-11232015-08-202015-09-10방문접수선착순www.jjedu.or.krNNN2015-09-04<NA>
5전주시수채화화요반변복우2015-09-082015-12-2210:0012:30수채화서양화교육누구나오프라인화요일평생학습관12120,000전주시 덕진구 구총목로 11전라북도 전주시평생학습관063-241-11232015-08-202015-09-10방문접수선착순www.jjedu.or.krNNN2015-09-04<NA>
6전주시수채화수요반변복우2015-09-092015-12-2310:0012:30수채화서양화교육누구나오프라인수요일평생학습관12120,000전주시 덕진구 구총목로 11전라북도 전주시평생학습관063-241-11232015-08-202015-09-10방문접수선착순www.jjedu.or.krNNN2015-09-04<NA>
7전주시그림입문반변복우2015-09-102015-12-2410:0012:00뎃생교육초보자오프라인목요일평생학습관1280,000전주시 덕진구 구총목로 11전라북도 전주시평생학습관063-241-11232015-08-202015-09-10방문접수선착순www.jjedu.or.krNNN2015-09-04<NA>
8전주시도예물레금요오전반진정욱2015-09-112015-09-189:3012:30물레를이용한교육누구나오프라인금요일평생학습관10120,000전주시 덕진구 구총목로 11전라북도 전주시평생학습관063-241-11232015-08-202015-09-10방문접수선착순www.jjedu.or.krNNN2015-09-04<NA>
9전주시도예물레금요오후반진정욱2015-09-112015-09-1814:0017:00물레를이용한교육누구나오프라인금요일평생학습관10120,000전주시 덕진구 구총목로 11전라북도 전주시평생학습관063-241-11232015-08-202015-09-10방문접수선착순www.jjedu.or.krNNN2015-09-04<NA>
시군강좌명강사명교육시작일자교육종료일자교육시작시각교육종료시각강좌내용교육대상구분교육방법구분운영요일교육장소강좌정원수수강료교육장도로명주소운영기관명운영기관전화번호접수시작일자접수종료일자접수방법구분선정방법구분홈페이지주소직업능력개발훈련비지원강좌여부학점은행제평가(학점)인정여부평생학습계좌제평가인정여부데이터기준일자Unnamed: 26
1096부안군주민행복 특화마을 비즈공예박지숙2015-07-062015-09-1514:0016:00비즈공예마을주민오프라인화요일, 목요일주민자치센터 2층 회의실110부안군 하서면 하서길 28-5부안군 하서면사무소063-580-37252015-06-152015-06-30방문접수선착순www.buan.go.kr<NA><NA><NA>2015-09-04<NA>
1097부안군주민행복 특화마을 생활체조장미옥2015-04-032015-12-1812:3014:30생활체조지역주민오프라인금요일마을경로당00부안군 부안읍 석신길 46-25부안군 부안읍사무소063-583-85802015-04-032015-12-18방문접수선착순www.buan.go.kr<NA><NA><NA>2015-09-03<NA>
1098부안군주민행복 특화마을 생활체조김영숙2015-03-172015-12-2213:0015:00생활체조지역주민오프라인화요릴마을경로당250부안군 행안면 행산길 21부안군 행안면사무소063-584-20472015-03-062015-12-22방문접수선착순www.buan.go.kr<NA><NA><NA>2015-09-03<NA>
1099부안군주민행복 특화마을 생활체조장미옥2015-04-082015-12-3011:0012:00생활체조지역주민오프라인화요일마을경로당00부안군 보안면 보안남로 201부안군 보안면사무소063-580-36242015-04-082015-12-30방문접수선착순www.buan.go.kr<NA><NA><NA>2015-09-03<NA>
1100부안군주민행복 특화마을 생활체조장미옥2015-04-162015-12-2411:0012:00생활체조지역주민오프라인목요일마을경로당00부안군 상서면 통정길 46-2부안군 상서면사무소063-580-37032015-04-032015-12-18방문접수선착순www.buan.go.kr<NA><NA><NA>2015-09-03<NA>
1101부안군주민행복 특화마을 생활체조박은희2015-07-012015-12-3012:3014:00생활체조지역주민오프라인월요일, 수요일마을경로당00부안군 줄포면 대동길 34-4부안군 줄포면사무소063-582-03302015-07-012015-12-30방문접수선착순www.buan.go.kr<NA><NA><NA>2015-09-03<NA>
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