Overview

Dataset statistics

Number of variables25
Number of observations3876
Missing cells13702
Missing cells (%)14.1%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory783.7 KiB
Average record size in memory207.0 B

Variable types

Text7
Categorical11
Numeric3
Unsupported3
Boolean1

Dataset

Description강좌명,교육기간,교육장소,교육대상,접수방법,수강료,접수기간,접수상태,문의전화,강좌상세내용URL
Author관악구
URLhttps://data.seoul.go.kr/dataList/OA-12723/S/1/datasetView.do

Alerts

썸네일 URL has constant value ""Constant
지역코드 has constant value ""Constant
공유누리사용여부 has constant value ""Constant
접수방법 is highly imbalanced (58.4%)Imbalance
접수상태 is highly imbalanced (87.7%)Imbalance
중분류 is highly imbalanced (57.6%)Imbalance
수강료 has 1558 (40.2%) missing valuesMissing
접수기간 has 3876 (100.0%) missing valuesMissing
소분류 has 3876 (100.0%) missing valuesMissing
담당자 이름 has 502 (13.0%) missing valuesMissing
담당자 이메일 has 3876 (100.0%) missing valuesMissing
강좌상세내용URL has unique valuesUnique
강좌 KEY has unique valuesUnique
접수기간 is an unsupported type, check if it needs cleaning or further analysisUnsupported
소분류 is an unsupported type, check if it needs cleaning or further analysisUnsupported
담당자 이메일 is an unsupported type, check if it needs cleaning or further analysisUnsupported

Reproduction

Analysis started2024-05-04 01:26:32.324415
Analysis finished2024-05-04 01:26:34.708673
Duration2.38 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

Distinct1667
Distinct (%)43.0%
Missing0
Missing (%)0.0%
Memory size30.4 KiB
2024-05-04T01:26:35.256365image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length59
Median length42
Mean length13.503354
Min length2

Characters and Unicode

Total characters52339
Distinct characters646
Distinct categories14 ?
Distinct scripts4 ?
Distinct blocks7 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1191 ?
Unique (%)30.7%

Sample

1st row청림동_테스트
2nd row어린이 댄스스포츠
3rd row웰빙댄스
4th row어르신 디지털 강화교육 야.너.두 1기
5th row플라워클래스
ValueCountFrequency (%)
스마트폰 361
 
3.5%
기초 215
 
2.1%
활용 171
 
1.7%
컴퓨터 155
 
1.5%
중급 149
 
1.4%
2010 145
 
1.4%
초급 124
 
1.2%
13시 119
 
1.1%
인터넷 111
 
1.1%
특강 104
 
1.0%
Other values (2115) 8701
84.0%
2024-05-04T01:26:36.824947image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
6482
 
12.4%
) 1744
 
3.3%
( 1744
 
3.3%
1151
 
2.2%
1018
 
1.9%
1 1001
 
1.9%
879
 
1.7%
0 871
 
1.7%
840
 
1.6%
697
 
1.3%
Other values (636) 35912
68.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 35674
68.2%
Space Separator 6482
 
12.4%
Decimal Number 3654
 
7.0%
Close Punctuation 1900
 
3.6%
Open Punctuation 1900
 
3.6%
Other Punctuation 1023
 
2.0%
Uppercase Letter 920
 
1.8%
Math Symbol 328
 
0.6%
Lowercase Letter 203
 
0.4%
Dash Punctuation 128
 
0.2%
Other values (4) 127
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
1151
 
3.2%
1018
 
2.9%
879
 
2.5%
840
 
2.4%
697
 
2.0%
669
 
1.9%
661
 
1.9%
635
 
1.8%
593
 
1.7%
590
 
1.7%
Other values (550) 27941
78.3%
Uppercase Letter
ValueCountFrequency (%)
S 126
13.7%
P 108
11.7%
C 91
9.9%
A 87
9.5%
I 76
8.3%
O 65
7.1%
T 65
7.1%
B 63
6.8%
N 54
 
5.9%
K 43
 
4.7%
Other values (13) 142
15.4%
Lowercase Letter
ValueCountFrequency (%)
t 40
19.7%
o 28
13.8%
i 16
 
7.9%
b 15
 
7.4%
e 14
 
6.9%
u 14
 
6.9%
s 11
 
5.4%
g 9
 
4.4%
a 9
 
4.4%
q 9
 
4.4%
Other values (9) 38
18.7%
Other Punctuation
ValueCountFrequency (%)
, 685
67.0%
. 82
 
8.0%
! 72
 
7.0%
: 50
 
4.9%
& 44
 
4.3%
% 32
 
3.1%
/ 29
 
2.8%
# 10
 
1.0%
' 8
 
0.8%
? 8
 
0.8%
Other values (2) 3
 
0.3%
Decimal Number
ValueCountFrequency (%)
1 1001
27.4%
0 871
23.8%
2 551
15.1%
3 480
13.1%
5 201
 
5.5%
9 136
 
3.7%
7 129
 
3.5%
6 123
 
3.4%
8 96
 
2.6%
4 66
 
1.8%
Math Symbol
ValueCountFrequency (%)
~ 277
84.5%
+ 38
 
11.6%
= 4
 
1.2%
< 4
 
1.2%
> 4
 
1.2%
1
 
0.3%
Close Punctuation
ValueCountFrequency (%)
) 1744
91.8%
] 150
 
7.9%
6
 
0.3%
Open Punctuation
ValueCountFrequency (%)
( 1744
91.8%
[ 150
 
7.9%
6
 
0.3%
Other Symbol
ValueCountFrequency (%)
80
89.9%
8
 
9.0%
1
 
1.1%
Final Punctuation
ValueCountFrequency (%)
8
88.9%
1
 
11.1%
Initial Punctuation
ValueCountFrequency (%)
8
88.9%
1
 
11.1%
Space Separator
ValueCountFrequency (%)
6482
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 128
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 20
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 35654
68.1%
Common 15542
29.7%
Latin 1123
 
2.1%
Han 20
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
1151
 
3.2%
1018
 
2.9%
879
 
2.5%
840
 
2.4%
697
 
2.0%
669
 
1.9%
661
 
1.9%
635
 
1.8%
593
 
1.7%
590
 
1.7%
Other values (539) 27921
78.3%
Common
ValueCountFrequency (%)
6482
41.7%
) 1744
 
11.2%
( 1744
 
11.2%
1 1001
 
6.4%
0 871
 
5.6%
, 685
 
4.4%
2 551
 
3.5%
3 480
 
3.1%
~ 277
 
1.8%
5 201
 
1.3%
Other values (34) 1506
 
9.7%
Latin
ValueCountFrequency (%)
S 126
 
11.2%
P 108
 
9.6%
C 91
 
8.1%
A 87
 
7.7%
I 76
 
6.8%
O 65
 
5.8%
T 65
 
5.8%
B 63
 
5.6%
N 54
 
4.8%
K 43
 
3.8%
Other values (32) 345
30.7%
Han
ValueCountFrequency (%)
10
50.0%
1
 
5.0%
1
 
5.0%
1
 
5.0%
1
 
5.0%
1
 
5.0%
1
 
5.0%
1
 
5.0%
1
 
5.0%
1
 
5.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 35654
68.1%
ASCII 16543
31.6%
Misc Symbols 81
 
0.2%
CJK 20
 
< 0.1%
Punctuation 18
 
< 0.1%
None 15
 
< 0.1%
Geometric Shapes 8
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
6482
39.2%
) 1744
 
10.5%
( 1744
 
10.5%
1 1001
 
6.1%
0 871
 
5.3%
, 685
 
4.1%
2 551
 
3.3%
3 480
 
2.9%
~ 277
 
1.7%
5 201
 
1.2%
Other values (65) 2507
 
15.2%
Hangul
ValueCountFrequency (%)
1151
 
3.2%
1018
 
2.9%
879
 
2.5%
840
 
2.4%
697
 
2.0%
669
 
1.9%
661
 
1.9%
635
 
1.8%
593
 
1.7%
590
 
1.7%
Other values (539) 27921
78.3%
Misc Symbols
ValueCountFrequency (%)
80
98.8%
1
 
1.2%
CJK
ValueCountFrequency (%)
10
50.0%
1
 
5.0%
1
 
5.0%
1
 
5.0%
1
 
5.0%
1
 
5.0%
1
 
5.0%
1
 
5.0%
1
 
5.0%
1
 
5.0%
Punctuation
ValueCountFrequency (%)
8
44.4%
8
44.4%
1
 
5.6%
1
 
5.6%
Geometric Shapes
ValueCountFrequency (%)
8
100.0%
None
ValueCountFrequency (%)
6
40.0%
6
40.0%
2
 
13.3%
1
 
6.7%
Distinct897
Distinct (%)23.1%
Missing0
Missing (%)0.0%
Memory size30.4 KiB
2024-05-04T01:26:37.685153image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length21
Median length21
Mean length21
Min length21

Characters and Unicode

Total characters81396
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

Unique423 ?
Unique (%)10.9%

Sample

1st row2024-03-26~2024-06-30
2nd row2024-05-02~2024-05-20
3rd row2024-06-17~2024-06-28
4th row2024-05-03~2024-05-21
5th row2024-04-24~2024-05-02
ValueCountFrequency (%)
2022-01-01~2022-12-31 70
 
1.8%
2020-03-04~2020-05-06 50
 
1.3%
2021-01-01~2021-12-31 45
 
1.2%
2016-12-07~2016-12-28 43
 
1.1%
2019-10-08~2019-12-31 43
 
1.1%
2023-12-13~2023-12-28 41
 
1.1%
2023-06-12~2023-06-29 36
 
0.9%
2024-03-11~2024-03-22 35
 
0.9%
2022-09-05~2022-09-29 35
 
0.9%
2023-03-06~2023-03-30 31
 
0.8%
Other values (887) 3447
88.9%
2024-05-04T01:26:38.850622image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 18158
22.3%
2 17524
21.5%
- 15504
19.0%
1 9911
12.2%
~ 3876
 
4.8%
3 3729
 
4.6%
9 2824
 
3.5%
8 2702
 
3.3%
7 2214
 
2.7%
4 1979
 
2.4%
Other values (2) 2975
 
3.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 62016
76.2%
Dash Punctuation 15504
 
19.0%
Math Symbol 3876
 
4.8%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 18158
29.3%
2 17524
28.3%
1 9911
16.0%
3 3729
 
6.0%
9 2824
 
4.6%
8 2702
 
4.4%
7 2214
 
3.6%
4 1979
 
3.2%
6 1946
 
3.1%
5 1029
 
1.7%
Dash Punctuation
ValueCountFrequency (%)
- 15504
100.0%
Math Symbol
ValueCountFrequency (%)
~ 3876
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 81396
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 18158
22.3%
2 17524
21.5%
- 15504
19.0%
1 9911
12.2%
~ 3876
 
4.8%
3 3729
 
4.6%
9 2824
 
3.5%
8 2702
 
3.3%
7 2214
 
2.7%
4 1979
 
2.4%
Other values (2) 2975
 
3.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 81396
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 18158
22.3%
2 17524
21.5%
- 15504
19.0%
1 9911
12.2%
~ 3876
 
4.8%
3 3729
 
4.6%
9 2824
 
3.5%
8 2702
 
3.3%
7 2214
 
2.7%
4 1979
 
2.4%
Other values (2) 2975
 
3.7%

교육장소
Categorical

Distinct36
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size30.4 KiB
평생학습관
1631 
성현동주민센터
401 
미성동자치회관
282 
토닥토닥 마을학교
239 
실시간 온라인 강의실
204 
Other values (31)
1119 

Length

Max length11
Median length9
Mean length6.4731682
Min length4

Unique

Unique2 ?
Unique (%)0.1%

Sample

1st row청림동 주민센터
2nd row평생학습관
3rd row신림동자치회관
4th row평생학습관
5th row평생학습관

Common Values

ValueCountFrequency (%)
평생학습관 1631
42.1%
성현동주민센터 401
 
10.3%
미성동자치회관 282
 
7.3%
토닥토닥 마을학교 239
 
6.2%
실시간 온라인 강의실 204
 
5.3%
구민회관 177
 
4.6%
신림여성교실 149
 
3.8%
서림동 자치회관 97
 
2.5%
난곡 정보화교육장 96
 
2.5%
관악여성교실 79
 
2.0%
Other values (26) 521
 
13.4%

Length

2024-05-04T01:26:39.415020image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
평생학습관 1631
33.6%
성현동주민센터 401
 
8.3%
미성동자치회관 282
 
5.8%
토닥토닥 239
 
4.9%
마을학교 239
 
4.9%
실시간 204
 
4.2%
온라인 204
 
4.2%
강의실 204
 
4.2%
구민회관 177
 
3.6%
신림여성교실 149
 
3.1%
Other values (32) 1128
23.2%

교육대상
Categorical

Distinct7
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size30.4 KiB
성인
1756 
어르신
1021 
어린이/청소년
678 
여성
334 
기타
 
56
Other values (2)
 
31

Length

Max length7
Median length2
Mean length3.1460268
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row성인
2nd row어린이/청소년
3rd row성인
4th row어르신
5th row성인

Common Values

ValueCountFrequency (%)
성인 1756
45.3%
어르신 1021
26.3%
어린이/청소년 678
 
17.5%
여성 334
 
8.6%
기타 56
 
1.4%
어린이 29
 
0.7%
장애인 2
 
0.1%

Length

2024-05-04T01:26:39.944924image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-04T01:26:40.407917image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
성인 1756
45.3%
어르신 1021
26.3%
어린이/청소년 678
 
17.5%
여성 334
 
8.6%
기타 56
 
1.4%
어린이 29
 
0.7%
장애인 2
 
0.1%

접수방법
Categorical

IMBALANCE 

Distinct3
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size30.4 KiB
온라인 선착순
3243 
방문접수
624 
온라인 추첨
 
9

Length

Max length7
Median length7
Mean length6.5147059
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
온라인 선착순 3243
83.7%
방문접수 624
 
16.1%
온라인 추첨 9
 
0.2%

Length

2024-05-04T01:26:40.995684image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-04T01:26:41.631216image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
온라인 3252
45.6%
선착순 3243
45.5%
방문접수 624
 
8.8%
추첨 9
 
0.1%

수강료
Real number (ℝ)

MISSING 

Distinct35
Distinct (%)1.5%
Missing1558
Missing (%)40.2%
Infinite0
Infinite (%)0.0%
Mean143734.76
Minimum100
Maximum999999
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size34.2 KiB
2024-05-04T01:26:42.084647image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum100
5-th percentile29700
Q145000
median60000
Q360000
95-th percentile999999
Maximum999999
Range999899
Interquartile range (IQR)15000

Descriptive statistics

Standard deviation281233.9
Coefficient of variation (CV)1.9566172
Kurtosis5.374948
Mean143734.76
Median Absolute Deviation (MAD)0
Skewness2.7085518
Sum3.3317717 × 108
Variance7.9092505 × 1010
MonotonicityNot monotonic
2024-05-04T01:26:42.560130image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=35)
ValueCountFrequency (%)
60000 1350
34.8%
30000 290
 
7.5%
999999 225
 
5.8%
40000 147
 
3.8%
45000 94
 
2.4%
10000 34
 
0.9%
50000 32
 
0.8%
20000 28
 
0.7%
15000 22
 
0.6%
54000 15
 
0.4%
Other values (25) 81
 
2.1%
(Missing) 1558
40.2%
ValueCountFrequency (%)
100 3
 
0.1%
200 1
 
< 0.1%
1000 3
 
0.1%
5000 6
 
0.2%
7000 4
 
0.1%
10000 34
0.9%
15000 22
0.6%
17000 1
 
< 0.1%
18000 1
 
< 0.1%
20000 28
0.7%
ValueCountFrequency (%)
999999 225
5.8%
200000 1
 
< 0.1%
180000 1
 
< 0.1%
150000 6
 
0.2%
105000 2
 
0.1%
100000 5
 
0.1%
99999 5
 
0.1%
77600 1
 
< 0.1%
75000 13
 
0.3%
65000 1
 
< 0.1%

접수기간
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing3876
Missing (%)100.0%
Memory size34.2 KiB

접수상태
Categorical

IMBALANCE 

Distinct8
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size30.4 KiB
강좌종료
3638 
강좌시작
 
218
2차 접수중
 
9
접수중
 
6
예비자접수
 
2
Other values (3)
 
3

Length

Max length6
Median length4
Mean length4.00387
Min length3

Unique

Unique3 ?
Unique (%)0.1%

Sample

1st row강좌시작
2nd row접수중
3rd row접수대기
4th row접수중
5th row접수 마감

Common Values

ValueCountFrequency (%)
강좌종료 3638
93.9%
강좌시작 218
 
5.6%
2차 접수중 9
 
0.2%
접수중 6
 
0.2%
예비자접수 2
 
0.1%
접수대기 1
 
< 0.1%
접수 마감 1
 
< 0.1%
접수완료 1
 
< 0.1%

Length

2024-05-04T01:26:43.018737image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-04T01:26:43.370471image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
강좌종료 3638
93.6%
강좌시작 218
 
5.6%
접수중 15
 
0.4%
2차 9
 
0.2%
예비자접수 2
 
0.1%
접수대기 1
 
< 0.1%
접수 1
 
< 0.1%
마감 1
 
< 0.1%
접수완료 1
 
< 0.1%
Distinct56
Distinct (%)1.4%
Missing10
Missing (%)0.3%
Memory size30.4 KiB
2024-05-04T01:26:43.807771image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length11
Median length11
Mean length10.658044
Min length8

Characters and Unicode

Total characters41204
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

Unique9 ?
Unique (%)0.2%

Sample

1st row02-879-4326
2nd row02-879-5674
3rd row02-879-4505
4th row02-879-5673
5th row02-879-5674
ValueCountFrequency (%)
02-879-5679 1522
39.4%
1522-6121 432
 
11.2%
02-879-6080 358
 
9.3%
02-879-5656 230
 
5.9%
1600-1902 207
 
5.4%
02-879-6124 169
 
4.4%
02-879-5675 144
 
3.7%
02-879-5674 126
 
3.3%
02-879-4750 93
 
2.4%
02-879-5662 81
 
2.1%
Other values (46) 504
 
13.0%
2024-05-04T01:26:44.674391image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 7077
17.2%
7 5288
12.8%
2 5160
12.5%
9 5049
12.3%
0 4790
11.6%
6 3954
9.6%
8 3693
9.0%
5 3231
7.8%
1 1975
 
4.8%
4 901
 
2.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 34127
82.8%
Dash Punctuation 7077
 
17.2%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
7 5288
15.5%
2 5160
15.1%
9 5049
14.8%
0 4790
14.0%
6 3954
11.6%
8 3693
10.8%
5 3231
9.5%
1 1975
 
5.8%
4 901
 
2.6%
3 86
 
0.3%
Dash Punctuation
ValueCountFrequency (%)
- 7077
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 41204
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 7077
17.2%
7 5288
12.8%
2 5160
12.5%
9 5049
12.3%
0 4790
11.6%
6 3954
9.6%
8 3693
9.0%
5 3231
7.8%
1 1975
 
4.8%
4 901
 
2.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 41204
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 7077
17.2%
7 5288
12.8%
2 5160
12.5%
9 5049
12.3%
0 4790
11.6%
6 3954
9.6%
8 3693
9.0%
5 3231
7.8%
1 1975
 
4.8%
4 901
 
2.2%
Distinct3876
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size30.4 KiB
2024-05-04T01:26:45.441602image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length77
Median length73
Mean length73.091847
Min length73

Characters and Unicode

Total characters283304
Distinct characters37
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique3876 ?
Unique (%)100.0%

Sample

1st rowhttps://www.gwanak.go.kr/site/edu/lecture/Lecture_View.do?clIdx=L00006708
2nd rowhttps://www.gwanak.go.kr/site/edu/lecture/Lecture_View.do?clIdx=L00006707
3rd rowhttps://www.gwanak.go.kr/site/edu/lecture/Lecture_View.do?clIdx=L00006706
4th rowhttps://www.gwanak.go.kr/site/edu/lecture/Lecture_View.do?clIdx=L00006705
5th rowhttps://www.gwanak.go.kr/site/edu/lecture/Lecture_View.do?clIdx=L00006704
ValueCountFrequency (%)
https://www.gwanak.go.kr/site/edu/lecture/lecture_view.do?clidx=l00006708 1
 
< 0.1%
https://www.gwanak.go.kr/site/edu/lecture/lecture_view.do?clidx=l00003045 1
 
< 0.1%
https://www.gwanak.go.kr/site/edu/lecture/lecture_view.do?clidx=l00003139 1
 
< 0.1%
https://www.gwanak.go.kr/site/edu/lecture/lecture_view.do?clidx=l00003126 1
 
< 0.1%
https://www.gwanak.go.kr/site/edu/lecture/lecture_view.do?clidx=l00003138 1
 
< 0.1%
https://www.gwanak.go.kr/site/edu/lecture/lecture_view.do?clidx=l00003137 1
 
< 0.1%
https://www.gwanak.go.kr/site/edu/lecture/lecture_view.do?clidx=l00003136 1
 
< 0.1%
https://www.gwanak.go.kr/site/edu/lecture/lecture_view.do?clidx=l00003135 1
 
< 0.1%
https://www.gwanak.go.kr/site/edu/lecture/lecture_view.do?clidx=l00003134 1
 
< 0.1%
https://www.gwanak.go.kr/site/edu/lecture/lecture_view.do?clidx=l00003133 1
 
< 0.1%
Other values (3866) 3866
99.7%
2024-05-04T01:26:46.643104image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
e 27132
 
9.6%
/ 23256
 
8.2%
w 19380
 
6.8%
t 19380
 
6.8%
0 16895
 
6.0%
. 15504
 
5.5%
r 11628
 
4.1%
c 11628
 
4.1%
u 11628
 
4.1%
d 11628
 
4.1%
Other values (27) 115245
40.7%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 182172
64.3%
Other Punctuation 46512
 
16.4%
Decimal Number 31275
 
11.0%
Uppercase Letter 15504
 
5.5%
Connector Punctuation 3965
 
1.4%
Math Symbol 3876
 
1.4%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e 27132
14.9%
w 19380
10.6%
t 19380
10.6%
r 11628
 
6.4%
c 11628
 
6.4%
u 11628
 
6.4%
d 11628
 
6.4%
l 7752
 
4.3%
i 7752
 
4.3%
k 7752
 
4.3%
Other values (8) 46512
25.5%
Decimal Number
ValueCountFrequency (%)
0 16895
54.0%
5 2002
 
6.4%
4 1870
 
6.0%
3 1755
 
5.6%
1 1742
 
5.6%
6 1739
 
5.6%
2 1654
 
5.3%
7 1266
 
4.0%
8 1186
 
3.8%
9 1166
 
3.7%
Other Punctuation
ValueCountFrequency (%)
/ 23256
50.0%
. 15504
33.3%
? 3876
 
8.3%
: 3876
 
8.3%
Uppercase Letter
ValueCountFrequency (%)
L 7752
50.0%
I 3876
25.0%
V 3876
25.0%
Connector Punctuation
ValueCountFrequency (%)
_ 3965
100.0%
Math Symbol
ValueCountFrequency (%)
= 3876
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 197676
69.8%
Common 85628
30.2%

Most frequent character per script

Latin
ValueCountFrequency (%)
e 27132
13.7%
w 19380
 
9.8%
t 19380
 
9.8%
r 11628
 
5.9%
c 11628
 
5.9%
u 11628
 
5.9%
d 11628
 
5.9%
l 7752
 
3.9%
L 7752
 
3.9%
i 7752
 
3.9%
Other values (11) 62016
31.4%
Common
ValueCountFrequency (%)
/ 23256
27.2%
0 16895
19.7%
. 15504
18.1%
_ 3965
 
4.6%
? 3876
 
4.5%
= 3876
 
4.5%
: 3876
 
4.5%
5 2002
 
2.3%
4 1870
 
2.2%
3 1755
 
2.0%
Other values (6) 8753
 
10.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 283304
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
e 27132
 
9.6%
/ 23256
 
8.2%
w 19380
 
6.8%
t 19380
 
6.8%
0 16895
 
6.0%
. 15504
 
5.5%
r 11628
 
4.1%
c 11628
 
4.1%
u 11628
 
4.1%
d 11628
 
4.1%
Other values (27) 115245
40.7%

강좌 KEY
Text

UNIQUE 

Distinct3876
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size30.4 KiB
2024-05-04T01:26:47.509689image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length9
Median length9
Mean length9
Min length9

Characters and Unicode

Total characters34884
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

Unique3876 ?
Unique (%)100.0%

Sample

1st rowL00006708
2nd rowL00006707
3rd rowL00006706
4th rowL00006705
5th rowL00006704
ValueCountFrequency (%)
l00006708 1
 
< 0.1%
l00003045 1
 
< 0.1%
l00003139 1
 
< 0.1%
l00003126 1
 
< 0.1%
l00003138 1
 
< 0.1%
l00003137 1
 
< 0.1%
l00003136 1
 
< 0.1%
l00003135 1
 
< 0.1%
l00003134 1
 
< 0.1%
l00003133 1
 
< 0.1%
Other values (3866) 3866
99.7%
2024-05-04T01:26:48.652898image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 16895
48.4%
L 3876
 
11.1%
5 1913
 
5.5%
4 1870
 
5.4%
3 1755
 
5.0%
6 1739
 
5.0%
2 1654
 
4.7%
1 1653
 
4.7%
8 1186
 
3.4%
7 1177
 
3.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 31008
88.9%
Uppercase Letter 3876
 
11.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 16895
54.5%
5 1913
 
6.2%
4 1870
 
6.0%
3 1755
 
5.7%
6 1739
 
5.6%
2 1654
 
5.3%
1 1653
 
5.3%
8 1186
 
3.8%
7 1177
 
3.8%
9 1166
 
3.8%
Uppercase Letter
ValueCountFrequency (%)
L 3876
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 31008
88.9%
Latin 3876
 
11.1%

Most frequent character per script

Common
ValueCountFrequency (%)
0 16895
54.5%
5 1913
 
6.2%
4 1870
 
6.0%
3 1755
 
5.7%
6 1739
 
5.6%
2 1654
 
5.3%
1 1653
 
5.3%
8 1186
 
3.8%
7 1177
 
3.8%
9 1166
 
3.8%
Latin
ValueCountFrequency (%)
L 3876
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 34884
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 16895
48.4%
L 3876
 
11.1%
5 1913
 
5.5%
4 1870
 
5.4%
3 1755
 
5.0%
6 1739
 
5.0%
2 1654
 
4.7%
1 1653
 
4.7%
8 1186
 
3.4%
7 1177
 
3.4%

기관주소
Categorical

Distinct35
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size30.4 KiB
서울특별시 관악구 남부순환로 1546
1631 
서울특별시 관악구 관악로 145
443 
서울특별시 관악구 구암길 38 성현동주민센터
401 
서울특별시 관악구 난곡로52길 16
282 
서울특별시 관악구 관악로5길 95 관악구민회관
177 
Other values (30)
942 

Length

Max length25
Median length24
Mean length20.015738
Min length15

Unique

Unique2 ?
Unique (%)0.1%

Sample

1st row서울특별시 관악구 관악로40길 39
2nd row서울특별시 관악구 남부순환로 1546
3rd row서울특별시 관악구 신림동길 14
4th row서울특별시 관악구 남부순환로 1546
5th row서울특별시 관악구 남부순환로 1546

Common Values

ValueCountFrequency (%)
서울특별시 관악구 남부순환로 1546 1631
42.1%
서울특별시 관악구 관악로 145 443
 
11.4%
서울특별시 관악구 구암길 38 성현동주민센터 401
 
10.3%
서울특별시 관악구 난곡로52길 16 282
 
7.3%
서울특별시 관악구 관악로5길 95 관악구민회관 177
 
4.6%
서울특별시 관악구 원신2길 43 149
 
3.8%
서울특별시 관악구 신림로29길 6 97
 
2.5%
서울특별시 관악구 난곡로24가길 53(신림동) 96
 
2.5%
서울특별시 관악구 남부순환로191길 12 79
 
2.0%
서울특별시 관악구 난곡로 67 78
 
2.0%
Other values (25) 443
 
11.4%

Length

2024-05-04T01:26:49.108771image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
서울특별시 3876
24.1%
관악구 3876
24.1%
남부순환로 1635
10.2%
1546 1631
10.1%
관악로 476
 
3.0%
145 445
 
2.8%
구암길 401
 
2.5%
38 401
 
2.5%
성현동주민센터 401
 
2.5%
난곡로52길 282
 
1.8%
Other values (55) 2660
16.5%
Distinct23
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size30.4 KiB
관악구 평생학습관(신림동)
1631 
(봉천동)
883 
(신림동)
282 
미성동자치회관 (신림동)
282 
(봉천동 1589-13)
177 
Other values (18)
621 

Length

Max length19
Median length15
Mean length10.986584
Min length4

Unique

Unique2 ?
Unique (%)0.1%

Sample

1st row청림동주민센터 (봉천동)
2nd row관악구 평생학습관(신림동)
3rd row(신림동)
4th row관악구 평생학습관(신림동)
5th row관악구 평생학습관(신림동)

Common Values

ValueCountFrequency (%)
관악구 평생학습관(신림동) 1631
42.1%
(봉천동) 883
22.8%
(신림동) 282
 
7.3%
미성동자치회관 (신림동) 282
 
7.3%
(봉천동 1589-13) 177
 
4.6%
서림동 주민센터 (신림2동) 97
 
2.5%
난곡 정보화교육장 96
 
2.5%
3층 (봉천동) 89
 
2.3%
미림여자정보과학고 (신림동) 74
 
1.9%
싱글벙글교육센터 (봉천동) 74
 
1.9%
Other values (13) 191
 
4.9%

Length

2024-05-04T01:26:49.624943image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
관악구 1631
24.4%
평생학습관(신림동 1631
24.4%
봉천동 1264
18.9%
신림동 685
10.2%
미성동자치회관 282
 
4.2%
1589-13 177
 
2.6%
주민센터 114
 
1.7%
서림동 97
 
1.4%
신림2동 97
 
1.4%
난곡 96
 
1.4%
Other values (22) 617
 
9.2%

위도
Real number (ℝ)

Distinct33
Distinct (%)0.9%
Missing2
Missing (%)0.1%
Infinite0
Infinite (%)0.0%
Mean126.93225
Minimum126.90786
Maximum126.97784
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size34.2 KiB
2024-05-04T01:26:50.105045image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum126.90786
5-th percentile126.91611
Q1126.92247
median126.92247
Q3126.94813
95-th percentile126.95148
Maximum126.97784
Range0.0699717
Interquartile range (IQR)0.0256599

Descriptive statistics

Standard deviation0.01348375
Coefficient of variation (CV)0.00010622793
Kurtosis-0.98670572
Mean126.93225
Median Absolute Deviation (MAD)0.0063581
Skewness0.629861
Sum491735.54
Variance0.00018181151
MonotonicityNot monotonic
2024-05-04T01:26:50.658181image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=33)
ValueCountFrequency (%)
126.9224672 1631
42.1%
126.9514847 443
 
11.4%
126.9481271 401
 
10.3%
126.9161091 282
 
7.3%
126.9495161 177
 
4.6%
126.9323371 149
 
3.8%
126.9349995 97
 
2.5%
126.9235476 96
 
2.5%
126.9343944 79
 
2.0%
126.918842 78
 
2.0%
Other values (23) 441
 
11.4%
ValueCountFrequency (%)
126.9078649 12
 
0.3%
126.9161091 282
 
7.3%
126.9164058 4
 
0.1%
126.9180165 14
 
0.4%
126.918842 78
 
2.0%
126.9216507 14
 
0.4%
126.9224672 1631
42.1%
126.9235476 96
 
2.5%
126.927075 7
 
0.2%
126.9273799 5
 
0.1%
ValueCountFrequency (%)
126.9778366 13
 
0.3%
126.9652589 10
 
0.3%
126.9585773 8
 
0.2%
126.9583884 9
 
0.2%
126.9570456 8
 
0.2%
126.9566035 11
 
0.3%
126.956312 74
 
1.9%
126.9522394 20
 
0.5%
126.9514847 443
11.4%
126.9497133 24
 
0.6%

경도
Real number (ℝ)

Distinct33
Distinct (%)0.9%
Missing2
Missing (%)0.1%
Infinite0
Infinite (%)0.0%
Mean37.48033
Minimum37.461429
Maximum37.491833
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size34.2 KiB
2024-05-04T01:26:51.128108image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum37.461429
5-th percentile37.469415
Q137.478155
median37.482931
Q337.482931
95-th percentile37.489537
Maximum37.491833
Range0.0304039
Interquartile range (IQR)0.0047759

Descriptive statistics

Standard deviation0.0061947866
Coefficient of variation (CV)0.000165281
Kurtosis0.84494712
Mean37.48033
Median Absolute Deviation (MAD)0.0044927
Skewness-0.88891092
Sum145198.8
Variance3.8375381 × 10-5
MonotonicityNot monotonic
2024-05-04T01:26:51.560600image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=33)
ValueCountFrequency (%)
37.4829308 1631
42.1%
37.4781549 443
 
11.4%
37.4895366 401
 
10.3%
37.4784381 282
 
7.3%
37.4744671 177
 
4.6%
37.4703448 149
 
3.8%
37.4749956 97
 
2.5%
37.469415 96
 
2.5%
37.486016 79
 
2.0%
37.461429 78
 
2.0%
Other values (23) 441
 
11.4%
ValueCountFrequency (%)
37.461429 78
2.0%
37.464007 20
 
0.5%
37.4641273 12
 
0.3%
37.4664314 74
1.9%
37.469415 96
2.5%
37.470101 1
 
< 0.1%
37.4703448 149
3.8%
37.4706145 15
 
0.4%
37.4709634 14
 
0.4%
37.4744671 177
4.6%
ValueCountFrequency (%)
37.4918329 8
 
0.2%
37.4895366 401
 
10.3%
37.4881456 69
 
1.8%
37.487426 7
 
0.2%
37.4872243 11
 
0.3%
37.486016 79
 
2.0%
37.4853966 14
 
0.4%
37.4853086 10
 
0.3%
37.4842598 24
 
0.6%
37.4829308 1631
42.1%
Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size30.4 KiB
유료
2318 
무료
1558 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row유료
2nd row무료
3rd row유료
4th row무료
5th row무료

Common Values

ValueCountFrequency (%)
유료 2318
59.8%
무료 1558
40.2%

Length

2024-05-04T01:26:52.008068image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-04T01:26:52.344886image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
유료 2318
59.8%
무료 1558
40.2%
Distinct1127
Distinct (%)29.1%
Missing0
Missing (%)0.0%
Memory size30.4 KiB
2024-05-04T01:26:53.037647image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length21
Median length21
Mean length21
Min length21

Characters and Unicode

Total characters81396
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

Unique573 ?
Unique (%)14.8%

Sample

1st row2024-05-01~2024-06-30
2nd row2024-05-22~2024-06-05
3rd row2024-07-01~2024-09-30
4th row2024-05-22~2024-07-24
5th row2024-05-07~2024-05-21
ValueCountFrequency (%)
2022-01-01~2022-12-31 74
 
1.9%
2024-04-01~2024-06-30 50
 
1.3%
2023-01-01~2023-03-31 50
 
1.3%
2019-04-01~2019-12-31 45
 
1.2%
2021-01-01~2021-12-31 45
 
1.2%
2024-04-01~2024-06-28 26
 
0.7%
2020-01-01~2020-03-31 25
 
0.6%
2019-04-01~2019-06-24 24
 
0.6%
2019-07-01~2019-09-30 24
 
0.6%
2024-01-02~2024-03-29 22
 
0.6%
Other values (1117) 3491
90.1%
2024-05-04T01:26:54.108071image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 19067
23.4%
2 17475
21.5%
- 15504
19.0%
1 9615
11.8%
3 3991
 
4.9%
~ 3876
 
4.8%
4 2473
 
3.0%
9 2410
 
3.0%
7 2399
 
2.9%
8 2106
 
2.6%
Other values (2) 2480
 
3.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 62016
76.2%
Dash Punctuation 15504
 
19.0%
Math Symbol 3876
 
4.8%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 19067
30.7%
2 17475
28.2%
1 9615
15.5%
3 3991
 
6.4%
4 2473
 
4.0%
9 2410
 
3.9%
7 2399
 
3.9%
8 2106
 
3.4%
6 1548
 
2.5%
5 932
 
1.5%
Dash Punctuation
ValueCountFrequency (%)
- 15504
100.0%
Math Symbol
ValueCountFrequency (%)
~ 3876
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 81396
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 19067
23.4%
2 17475
21.5%
- 15504
19.0%
1 9615
11.8%
3 3991
 
4.9%
~ 3876
 
4.8%
4 2473
 
3.0%
9 2410
 
3.0%
7 2399
 
2.9%
8 2106
 
2.6%
Other values (2) 2480
 
3.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 81396
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 19067
23.4%
2 17475
21.5%
- 15504
19.0%
1 9615
11.8%
3 3991
 
4.9%
~ 3876
 
4.8%
4 2473
 
3.0%
9 2410
 
3.0%
7 2399
 
2.9%
8 2106
 
2.6%
Other values (2) 2480
 
3.0%

썸네일 URL
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size30.4 KiB
https://www.gwanak.go.kr/images/edu/gwanak.jpg
3876 

Length

Max length46
Median length46
Mean length46
Min length46

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowhttps://www.gwanak.go.kr/images/edu/gwanak.jpg
2nd rowhttps://www.gwanak.go.kr/images/edu/gwanak.jpg
3rd rowhttps://www.gwanak.go.kr/images/edu/gwanak.jpg
4th rowhttps://www.gwanak.go.kr/images/edu/gwanak.jpg
5th rowhttps://www.gwanak.go.kr/images/edu/gwanak.jpg

Common Values

ValueCountFrequency (%)
https://www.gwanak.go.kr/images/edu/gwanak.jpg 3876
100.0%

Length

2024-05-04T01:26:54.621895image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-04T01:26:54.896092image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
https://www.gwanak.go.kr/images/edu/gwanak.jpg 3876
100.0%
Distinct8
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size30.4 KiB
평생학습관
1827 
구민정보화교육
1021 
자치회관
464 
토닥토닥마을학교
239 
여성교실
231 
Other values (3)
 
94

Length

Max length10
Median length8
Mean length5.5379257
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row자치회관
2nd row평생학습관
3rd row자치회관
4th row평생학습관
5th row평생학습관

Common Values

ValueCountFrequency (%)
평생학습관 1827
47.1%
구민정보화교육 1021
26.3%
자치회관 464
 
12.0%
토닥토닥마을학교 239
 
6.2%
여성교실 231
 
6.0%
175교육 89
 
2.3%
진로직업체험지원센터 3
 
0.1%
싱글벙글교육센터 2
 
0.1%

Length

2024-05-04T01:26:55.244508image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-04T01:26:55.777095image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
평생학습관 1827
47.1%
구민정보화교육 1021
26.3%
자치회관 464
 
12.0%
토닥토닥마을학교 239
 
6.2%
여성교실 231
 
6.0%
175교육 89
 
2.3%
진로직업체험지원센터 3
 
0.1%
싱글벙글교육센터 2
 
0.1%

중분류
Categorical

IMBALANCE 

Distinct5
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size30.4 KiB
전문지식
3079 
전시
464 
교양
 
290
체험/대회
 
41
<NA>
 
2

Length

Max length5
Median length4
Mean length3.621517
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row전시
2nd row전문지식
3rd row전시
4th row전문지식
5th row전문지식

Common Values

ValueCountFrequency (%)
전문지식 3079
79.4%
전시 464
 
12.0%
교양 290
 
7.5%
체험/대회 41
 
1.1%
<NA> 2
 
0.1%

Length

2024-05-04T01:26:56.230849image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-04T01:26:56.832189image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
전문지식 3079
79.4%
전시 464
 
12.0%
교양 290
 
7.5%
체험/대회 41
 
1.1%
na 2
 
0.1%

소분류
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing3876
Missing (%)100.0%
Memory size34.2 KiB

지역코드
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size30.4 KiB
3200000
3876 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3200000
2nd row3200000
3rd row3200000
4th row3200000
5th row3200000

Common Values

ValueCountFrequency (%)
3200000 3876
100.0%

Length

2024-05-04T01:26:57.230814image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-04T01:26:57.706140image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3200000 3876
100.0%

공유누리사용여부
Boolean

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size3.9 KiB
True
3876 
ValueCountFrequency (%)
True 3876
100.0%
2024-05-04T01:26:58.046387image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

담당자 이름
Text

MISSING 

Distinct71
Distinct (%)2.1%
Missing502
Missing (%)13.0%
Memory size30.4 KiB
2024-05-04T01:26:58.553862image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length6
Median length3
Mean length3.5441612
Min length2

Characters and Unicode

Total characters11958
Distinct characters99
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique15 ?
Unique (%)0.4%

Sample

1st row김다운
2nd row김태훈
3rd row김윤겸
4th row김윤겸
5th row성진희
ValueCountFrequency (%)
김윤겸 800
23.7%
송민주 577
17.1%
정보화교육 493
14.6%
신혜진 258
 
7.6%
정보화교육1 176
 
5.2%
한명희 155
 
4.6%
서배근 144
 
4.3%
정주현 70
 
2.1%
이의진 68
 
2.0%
한무성 58
 
1.7%
Other values (61) 575
17.0%
2024-05-04T01:26:59.893624image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
914
 
7.6%
857
 
7.2%
814
 
6.8%
800
 
6.7%
788
 
6.6%
775
 
6.5%
775
 
6.5%
775
 
6.5%
697
 
5.8%
621
 
5.2%
Other values (89) 4142
34.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 11676
97.6%
Decimal Number 282
 
2.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
914
 
7.8%
857
 
7.3%
814
 
7.0%
800
 
6.9%
788
 
6.7%
775
 
6.6%
775
 
6.6%
775
 
6.6%
697
 
6.0%
621
 
5.3%
Other values (83) 3860
33.1%
Decimal Number
ValueCountFrequency (%)
1 176
62.4%
2 39
 
13.8%
6 26
 
9.2%
3 15
 
5.3%
5 15
 
5.3%
4 11
 
3.9%

Most occurring scripts

ValueCountFrequency (%)
Hangul 11676
97.6%
Common 282
 
2.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
914
 
7.8%
857
 
7.3%
814
 
7.0%
800
 
6.9%
788
 
6.7%
775
 
6.6%
775
 
6.6%
775
 
6.6%
697
 
6.0%
621
 
5.3%
Other values (83) 3860
33.1%
Common
ValueCountFrequency (%)
1 176
62.4%
2 39
 
13.8%
6 26
 
9.2%
3 15
 
5.3%
5 15
 
5.3%
4 11
 
3.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 11676
97.6%
ASCII 282
 
2.4%

Most frequent character per block

Hangul
ValueCountFrequency (%)
914
 
7.8%
857
 
7.3%
814
 
7.0%
800
 
6.9%
788
 
6.7%
775
 
6.6%
775
 
6.6%
775
 
6.6%
697
 
6.0%
621
 
5.3%
Other values (83) 3860
33.1%
ASCII
ValueCountFrequency (%)
1 176
62.4%
2 39
 
13.8%
6 26
 
9.2%
3 15
 
5.3%
5 15
 
5.3%
4 11
 
3.9%

담당자 이메일
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing3876
Missing (%)100.0%
Memory size34.2 KiB

Sample

강좌명교육기간교육장소교육대상접수방법수강료접수기간접수상태문의전화강좌상세내용URL강좌 KEY기관주소기관상세주소위도경도무료,유료 여부교육시작일 교육종료일썸네일 URL교육기관이름중분류소분류지역코드공유누리사용여부담당자 이름담당자 이메일
0청림동_테스트2024-03-26~2024-06-30청림동 주민센터성인온라인 선착순45000<NA>강좌시작02-879-4326https://www.gwanak.go.kr/site/edu/lecture/Lecture_View.do?clIdx=L00006708L00006708서울특별시 관악구 관악로40길 39청림동주민센터 (봉천동)126.95857737.491833유료2024-05-01~2024-06-30https://www.gwanak.go.kr/images/edu/gwanak.jpg자치회관전시<NA>3200000Y김다운<NA>
1어린이 댄스스포츠2024-05-02~2024-05-20평생학습관어린이/청소년온라인 선착순<NA><NA>접수중02-879-5674https://www.gwanak.go.kr/site/edu/lecture/Lecture_View.do?clIdx=L00006707L00006707서울특별시 관악구 남부순환로 1546관악구 평생학습관(신림동)126.92246737.482931무료2024-05-22~2024-06-05https://www.gwanak.go.kr/images/edu/gwanak.jpg평생학습관전문지식<NA>3200000Y<NA><NA>
2웰빙댄스2024-06-17~2024-06-28신림동자치회관성인온라인 선착순52000<NA>접수대기02-879-4505https://www.gwanak.go.kr/site/edu/lecture/Lecture_View.do?clIdx=L00006706L00006706서울특별시 관악구 신림동길 14(신림동)126.92707537.487426유료2024-07-01~2024-09-30https://www.gwanak.go.kr/images/edu/gwanak.jpg자치회관전시<NA>3200000Y김태훈<NA>
3어르신 디지털 강화교육 야.너.두 1기2024-05-03~2024-05-21평생학습관어르신온라인 선착순<NA><NA>접수중02-879-5673https://www.gwanak.go.kr/site/edu/lecture/Lecture_View.do?clIdx=L00006705L00006705서울특별시 관악구 남부순환로 1546관악구 평생학습관(신림동)126.92246737.482931무료2024-05-22~2024-07-24https://www.gwanak.go.kr/images/edu/gwanak.jpg평생학습관전문지식<NA>3200000Y김윤겸<NA>
4플라워클래스2024-04-24~2024-05-02평생학습관성인온라인 선착순<NA><NA>접수 마감02-879-5674https://www.gwanak.go.kr/site/edu/lecture/Lecture_View.do?clIdx=L00006704L00006704서울특별시 관악구 남부순환로 1546관악구 평생학습관(신림동)126.92246737.482931무료2024-05-07~2024-05-21https://www.gwanak.go.kr/images/edu/gwanak.jpg평생학습관전문지식<NA>3200000Y<NA><NA>
5제8기 관악시민대학원 최고위과정2024-05-02~2024-05-20서울대학교기타온라인 선착순150000<NA>접수중02-879-5673https://www.gwanak.go.kr/site/edu/lecture/Lecture_View.do?clIdx=L00006703L00006703서울특별시 관악구 관악로 1(신림동)126.95223937.464007유료2024-05-21~2024-11-26https://www.gwanak.go.kr/images/edu/gwanak.jpg평생학습관전문지식<NA>3200000Y김윤겸<NA>
6활력댄스(댄스스포츠)2024-03-20~2024-05-31삼성동 자치회관성인방문접수75000<NA>강좌시작02-879-4850https://www.gwanak.go.kr/site/edu/lecture/Lecture_View.do?clIdx=L00006700L00006700서울특별시 관악구 호암로 520(신림동)126.93181637.464127유료2024-04-01~2024-06-30https://www.gwanak.go.kr/images/edu/gwanak.jpg자치회관전시<NA>3200000Y성진희<NA>
7라인댄스B2024-04-23~2024-06-30남현동 자치회관성인방문접수40000<NA>강좌시작02-879-4477https://www.gwanak.go.kr/site/edu/lecture/Lecture_View.do?clIdx=L00006699L00006699서울특별시 관악구 남현1가길 29남현동주민센터 (남현동)126.97783737.474539유료2024-05-01~2024-06-30https://www.gwanak.go.kr/images/edu/gwanak.jpg자치회관전시<NA>3200000Y권세리<NA>
85월 수강신청 연습페이지2024-04-19~2024-04-26관악구청어르신온라인 선착순<NA><NA>강좌종료02-879-6080https://www.gwanak.go.kr/site/edu/lecture/Lecture_View.do?clIdx=L00006698L00006698서울특별시 관악구 관악로 145 (봉천동)<NA><NA><NA>무료2024-05-04~2024-05-04https://www.gwanak.go.kr/images/edu/gwanak.jpg구민정보화교육전문지식<NA>3200000Y정보화교육1<NA>
9■14시접수_한글 2016 기초2024-04-29~2024-05-10난곡 정보화교육장어르신온라인 선착순<NA><NA>2차 접수중02-879-6080https://www.gwanak.go.kr/site/edu/lecture/Lecture_View.do?clIdx=L00006697L00006697서울특별시 관악구 난곡로24가길 53(신림동)난곡 정보화교육장126.92354837.469415무료2024-05-08~2024-05-29https://www.gwanak.go.kr/images/edu/gwanak.jpg구민정보화교육전문지식<NA>3200000Y정보화교육1<NA>
강좌명교육기간교육장소교육대상접수방법수강료접수기간접수상태문의전화강좌상세내용URL강좌 KEY기관주소기관상세주소위도경도무료,유료 여부교육시작일 교육종료일썸네일 URL교육기관이름중분류소분류지역코드공유누리사용여부담당자 이름담당자 이메일
3866중국어HSK자격증대비반(레벨테스트있음)2016-12-07~2016-12-28평생학습관성인온라인 선착순60000<NA>강좌종료02-879-5679https://www.gwanak.go.kr/site/edu/lecture/Lecture_View.do?clIdx=L00000205L00000205서울특별시 관악구 남부순환로 1546관악구 평생학습관(신림동)126.92246737.482931유료2017-01-02~2017-03-29https://www.gwanak.go.kr/images/edu/gwanak.jpg평생학습관전문지식<NA>3200000Y김윤겸<NA>
3867중등수학지도사양성과정(1학기)2016-12-07~2017-01-13평생학습관성인온라인 선착순60000<NA>강좌종료02-879-5679https://www.gwanak.go.kr/site/edu/lecture/Lecture_View.do?clIdx=L00000202L00000202서울특별시 관악구 남부순환로 1546관악구 평생학습관(신림동)126.92246737.482931유료2017-01-06~2017-03-31https://www.gwanak.go.kr/images/edu/gwanak.jpg평생학습관전문지식<NA>3200000Y김윤겸<NA>
3868신나는 공예의 세계로~!!2016-11-17~2016-12-08평생학습관성인온라인 선착순<NA><NA>강좌종료02-879-5674https://www.gwanak.go.kr/site/edu/lecture/Lecture_View.do?clIdx=L00000194L00000194서울특별시 관악구 남부순환로 1546관악구 평생학습관(신림동)126.92246737.482931무료2016-12-09~2016-12-30https://www.gwanak.go.kr/images/edu/gwanak.jpg평생학습관전문지식<NA>3200000Y<NA><NA>
3869내피부를 위한 천연제품 만들기5기2016-11-14~2016-12-01평생학습관성인온라인 선착순<NA><NA>강좌종료02-879-5674https://www.gwanak.go.kr/site/edu/lecture/Lecture_View.do?clIdx=L00000192L00000192서울특별시 관악구 남부순환로 1546관악구 평생학습관(신림동)126.92246737.482931무료2016-12-02~2016-12-23https://www.gwanak.go.kr/images/edu/gwanak.jpg평생학습관전문지식<NA>3200000Y<NA><NA>
3870한자암기 마스터2016-11-14~2016-12-01평생학습관성인온라인 선착순<NA><NA>강좌종료02-879-5674https://www.gwanak.go.kr/site/edu/lecture/Lecture_View.do?clIdx=L00000191L00000191서울특별시 관악구 남부순환로 1546관악구 평생학습관(신림동)126.92246737.482931무료2016-12-02~2016-12-30https://www.gwanak.go.kr/images/edu/gwanak.jpg평생학습관전문지식<NA>3200000Y<NA><NA>
3871댄스스포츠(기초)(접수중)2024-03-11~2024-06-30청룡동 주민센터성인방문접수60000<NA>강좌시작02-879-4388https://www.gwanak.go.kr/site/edu/lecture/Lecture_View.do?clIdx=L00000172L00000172서울특별시 관악구 쑥고개로 44(봉천동)126.94165237.47913유료2024-04-15~2024-06-30https://www.gwanak.go.kr/images/edu/gwanak.jpg자치회관전시<NA>3200000Y오지숙<NA>
3872원어민영어(6~7세)2019-05-07~2019-05-09난향동주민센터어린이/청소년방문접수30000<NA>강좌종료02-879-4656https://www.gwanak.go.kr/site/edu/lecture/Lecture_View.do?clIdx=L00000112L00000112서울특별시 관악구 난곡로 67(신림동)126.91884237.461429유료2019-06-01~2019-08-31https://www.gwanak.go.kr/images/edu/gwanak.jpg자치회관전시<NA>3200000Y문지혜<NA>
3873[서원동]한자교실2022-01-21~2022-01-27서원동자치회관성인방문접수10000<NA>강좌종료02-879-4684https://www.gwanak.go.kr/site/edu/lecture/Lecture_View.do?clIdx=L00000063L00000063서울특별시 관악구 신림로 282(신림동)126.931337.479735유료2022-01-01~2022-12-31https://www.gwanak.go.kr/images/edu/gwanak.jpg자치회관전시<NA>3200000Y<NA><NA>
3874[서원동]서예반2022-01-21~2022-01-27서원동자치회관성인방문접수20000<NA>강좌종료02-879-4684https://www.gwanak.go.kr/site/edu/lecture/Lecture_View.do?clIdx=L00000061L00000061서울특별시 관악구 신림로 282(신림동)126.931337.479735유료2022-01-01~2022-12-31https://www.gwanak.go.kr/images/edu/gwanak.jpg자치회관전시<NA>3200000Y<NA><NA>
3875[서원동]원어민 영어회화2022-01-21~2022-01-27서원동자치회관성인방문접수25000<NA>강좌종료02-879-4684https://www.gwanak.go.kr/site/edu/lecture/Lecture_View.do?clIdx=L00000055L00000055서울특별시 관악구 신림로 282(신림동)126.931337.479735유료2022-01-01~2022-12-31https://www.gwanak.go.kr/images/edu/gwanak.jpg자치회관전시<NA>3200000Y<NA><NA>