Overview

Dataset statistics

Number of variables24
Number of observations1909
Missing cells1563
Missing cells (%)3.4%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory369.2 KiB
Average record size in memory198.1 B

Variable types

Categorical13
Text4
DateTime4
Numeric3

Dataset

Description성남시 공공도서관에서 운영하고 있는 강좌(컴퓨터교육, 문화교실, 문화강좌, 독서회) 정보입니다.(도서관명,강좌명,대상,장소,강좌시작-종료시간,접수 시작-종료일 등)※ 해당 데이터는 OpenAPI로도 개방하고 있습니다.
Author경기도 성남시
URLhttps://www.data.go.kr/data/15037126/fileData.do

Alerts

오프라인 접수 인원 has constant value ""Constant
접수링크 has constant value ""Constant
대분류 is highly imbalanced (54.9%)Imbalance
중분류 is highly imbalanced (56.7%)Imbalance
소분류 is highly imbalanced (63.5%)Imbalance
총 접수인원 is highly imbalanced (98.8%)Imbalance
온라인 접수 인원 is highly imbalanced (98.8%)Imbalance
강좌대상 is highly imbalanced (56.9%)Imbalance
결제금액(원) is highly imbalanced (97.2%)Imbalance
운영형태 is highly imbalanced (69.5%)Imbalance
강좌장소상세 has 1563 (81.9%) missing valuesMissing
대기자인원 has 157 (8.2%) zerosZeros
수강인원(여성) has 647 (33.9%) zerosZeros
수강인원(남성) has 834 (43.7%) zerosZeros

Reproduction

Analysis started2024-03-14 19:39:28.767782
Analysis finished2024-03-14 19:39:30.080366
Duration1.31 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

기관명
Categorical

Distinct22
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Memory size15.0 KiB
중원어린이도서관
760 
중원도서관
162 
수정도서관
135 
위례도서관
127 
해오름도서관
111 
Other values (17)
614 

Length

Max length12
Median length9
Mean length6.4793085
Min length5

Unique

Unique1 ?
Unique (%)0.1%

Sample

1st row수정도서관
2nd row수정도서관
3rd row해오름도서관
4th row도서관사업소
5th row도서관사업소

Common Values

ValueCountFrequency (%)
중원어린이도서관 760
39.8%
중원도서관 162
 
8.5%
수정도서관 135
 
7.1%
위례도서관 127
 
6.7%
해오름도서관 111
 
5.8%
중앙도서관 102
 
5.3%
구미도서관 85
 
4.5%
판교어린이도서관 79
 
4.1%
분당도서관 67
 
3.5%
복정도서관 66
 
3.5%
Other values (12) 215
 
11.3%

Length

2024-03-15T04:39:30.332440image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
중원어린이도서관 760
39.8%
중원도서관 162
 
8.5%
수정도서관 135
 
7.1%
위례도서관 127
 
6.7%
해오름도서관 111
 
5.8%
중앙도서관 102
 
5.3%
구미도서관 85
 
4.5%
판교어린이도서관 79
 
4.1%
분당도서관 67
 
3.5%
복정도서관 66
 
3.5%
Other values (12) 215
 
11.3%

회차
Text

Distinct433
Distinct (%)22.7%
Missing0
Missing (%)0.0%
Memory size15.0 KiB
2024-03-15T04:39:31.529369image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length23
Median length21
Mean length14.730749
Min length2

Characters and Unicode

Total characters28121
Distinct characters150
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

Unique87 ?
Unique (%)4.6%

Sample

1st row2023-01-21
2nd row2023-01-21
3rd row2023-팝업아동
4th row2024-01-23
5th row2024-01-23
ValueCountFrequency (%)
ar동화체험관 694
 
18.4%
2023 227
 
6.0%
문화교실 201
 
5.3%
2023년 142
 
3.8%
하반기 117
 
3.1%
상반기 98
 
2.6%
체험형 85
 
2.3%
동화구연 85
 
2.3%
독서회 59
 
1.6%
구미도서관 52
 
1.4%
Other values (426) 2008
53.3%
2024-03-15T04:39:32.967148image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 4423
 
15.7%
0 2408
 
8.6%
3 2146
 
7.6%
1859
 
6.6%
/ 1356
 
4.8%
1181
 
4.2%
- 1112
 
4.0%
1 864
 
3.1%
821
 
2.9%
800
 
2.8%
Other values (140) 11151
39.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 11234
39.9%
Other Letter 9770
34.7%
Space Separator 1859
 
6.6%
Uppercase Letter 1393
 
5.0%
Other Punctuation 1360
 
4.8%
Dash Punctuation 1112
 
4.0%
Close Punctuation 691
 
2.5%
Open Punctuation 691
 
2.5%
Connector Punctuation 11
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
1181
 
12.1%
821
 
8.4%
800
 
8.2%
799
 
8.2%
790
 
8.1%
400
 
4.1%
342
 
3.5%
298
 
3.1%
293
 
3.0%
278
 
2.8%
Other values (120) 3768
38.6%
Decimal Number
ValueCountFrequency (%)
2 4423
39.4%
0 2408
21.4%
3 2146
19.1%
1 864
 
7.7%
4 380
 
3.4%
7 234
 
2.1%
8 203
 
1.8%
5 202
 
1.8%
6 194
 
1.7%
9 180
 
1.6%
Uppercase Letter
ValueCountFrequency (%)
A 696
50.0%
R 694
49.8%
B 3
 
0.2%
Other Punctuation
ValueCountFrequency (%)
/ 1356
99.7%
· 4
 
0.3%
Space Separator
ValueCountFrequency (%)
1859
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1112
100.0%
Close Punctuation
ValueCountFrequency (%)
) 691
100.0%
Open Punctuation
ValueCountFrequency (%)
( 691
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 11
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 16958
60.3%
Hangul 9770
34.7%
Latin 1393
 
5.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
1181
 
12.1%
821
 
8.4%
800
 
8.2%
799
 
8.2%
790
 
8.1%
400
 
4.1%
342
 
3.5%
298
 
3.1%
293
 
3.0%
278
 
2.8%
Other values (120) 3768
38.6%
Common
ValueCountFrequency (%)
2 4423
26.1%
0 2408
14.2%
3 2146
12.7%
1859
11.0%
/ 1356
 
8.0%
- 1112
 
6.6%
1 864
 
5.1%
) 691
 
4.1%
( 691
 
4.1%
4 380
 
2.2%
Other values (7) 1028
 
6.1%
Latin
ValueCountFrequency (%)
A 696
50.0%
R 694
49.8%
B 3
 
0.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 18347
65.2%
Hangul 9770
34.7%
None 4
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 4423
24.1%
0 2408
13.1%
3 2146
11.7%
1859
10.1%
/ 1356
 
7.4%
- 1112
 
6.1%
1 864
 
4.7%
A 696
 
3.8%
R 694
 
3.8%
) 691
 
3.8%
Other values (9) 2098
11.4%
Hangul
ValueCountFrequency (%)
1181
 
12.1%
821
 
8.4%
800
 
8.2%
799
 
8.2%
790
 
8.1%
400
 
4.1%
342
 
3.5%
298
 
3.1%
293
 
3.0%
278
 
2.8%
Other values (120) 3768
38.6%
None
ValueCountFrequency (%)
· 4
100.0%

대분류
Categorical

IMBALANCE 

Distinct5
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size15.0 KiB
시민공공역량교육
1365 
인문교양교육
478 
문화예술스포츠교육
 
50
학력보완교육
 
14
기초문해교육
 
2

Length

Max length9
Median length8
Mean length7.5086433
Min length6

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row시민공공역량교육
2nd row시민공공역량교육
3rd row문화예술스포츠교육
4th row시민공공역량교육
5th row시민공공역량교육

Common Values

ValueCountFrequency (%)
시민공공역량교육 1365
71.5%
인문교양교육 478
 
25.0%
문화예술스포츠교육 50
 
2.6%
학력보완교육 14
 
0.7%
기초문해교육 2
 
0.1%

Length

2024-03-15T04:39:33.245853image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-15T04:39:33.574719image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
시민공공역량교육 1365
71.5%
인문교양교육 478
 
25.0%
문화예술스포츠교육 50
 
2.6%
학력보완교육 14
 
0.7%
기초문해교육 2
 
0.1%

중분류
Categorical

IMBALANCE 

Distinct10
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size15.0 KiB
사회공동체역량 프로그램
1326 
인문학적교양 프로그램
335 
생활소양프로그램
139 
시민성소양프로그램
 
39
생활문화예술 프로그램
 
34
Other values (5)
 
36

Length

Max length13
Median length12
Mean length11.44264
Min length8

Unique

Unique2 ?
Unique (%)0.1%

Sample

1st row사회공동체역량 프로그램
2nd row사회공동체역량 프로그램
3rd row생활문화예술 프로그램
4th row사회공동체역량 프로그램
5th row사회공동체역량 프로그램

Common Values

ValueCountFrequency (%)
사회공동체역량 프로그램 1326
69.5%
인문학적교양 프로그램 335
 
17.5%
생활소양프로그램 139
 
7.3%
시민성소양프로그램 39
 
2.0%
생활문화예술 프로그램 34
 
1.8%
문화예술스포츠향유프로그램 16
 
0.8%
초등학력보완프로그램 14
 
0.7%
심신건강증진 프로그램 4
 
0.2%
문해활용프로그램 1
 
0.1%
한글생활문해프로그램 1
 
0.1%

Length

2024-03-15T04:39:33.980011image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-15T04:39:34.233050image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
프로그램 1699
47.1%
사회공동체역량 1326
36.8%
인문학적교양 335
 
9.3%
생활소양프로그램 139
 
3.9%
시민성소양프로그램 39
 
1.1%
생활문화예술 34
 
0.9%
문화예술스포츠향유프로그램 16
 
0.4%
초등학력보완프로그램 14
 
0.4%
심신건강증진 4
 
0.1%
문해활용프로그램 1
 
< 0.1%

소분류
Categorical

IMBALANCE 

Distinct44
Distinct (%)2.3%
Missing0
Missing (%)0.0%
Memory size15.0 KiB
기타 사회공동체 관련 프로그램
1324 
기타 인문학적교양 관련 프로그램
199 
독서
 
87
기타
 
71
언어학 관련 프로그램
 
25
Other values (39)
203 

Length

Max length28
Median length16
Mean length14.44264
Min length2

Unique

Unique13 ?
Unique (%)0.7%

Sample

1st row기타 사회공동체 관련 프로그램
2nd row기타 사회공동체 관련 프로그램
3rd row공예 및 장식미술
4th row기타 사회공동체 관련 프로그램
5th row기타 사회공동체 관련 프로그램

Common Values

ValueCountFrequency (%)
기타 사회공동체 관련 프로그램 1324
69.4%
기타 인문학적교양 관련 프로그램 199
 
10.4%
독서 87
 
4.6%
기타 71
 
3.7%
언어학 관련 프로그램 25
 
1.3%
기타 시민성소양 관련 프로그램 25
 
1.3%
창의 관련 프로그램 23
 
1.2%
한국사 관련 프로그램 17
 
0.9%
컴퓨터 관련 프로그램 15
 
0.8%
자연과학 관련 프로그램 15
 
0.8%
Other values (34) 108
 
5.7%

Length

2024-03-15T04:39:34.670397image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
프로그램 1709
24.6%
관련 1686
24.3%
기타 1621
23.4%
사회공동체 1324
19.1%
인문학적교양 199
 
2.9%
독서 87
 
1.3%
언어학 25
 
0.4%
시민성소양 25
 
0.4%
창의 23
 
0.3%
23
 
0.3%
Other values (51) 213
 
3.1%
Distinct1777
Distinct (%)93.1%
Missing0
Missing (%)0.0%
Memory size15.0 KiB
2024-03-15T04:39:35.488376image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length73
Median length66
Mean length27.041907
Min length4

Characters and Unicode

Total characters51623
Distinct characters686
Distinct categories15 ?
Distinct scripts4 ?
Distinct blocks8 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1659 ?
Unique (%)86.9%

Sample

1st row(12월 23일_올인데이)_공연2_엉클키드
2nd row(12월 23일_올인데이)_공연1_오감만족 문화콘서트
3rd row[팝업특강] 크리스마스에 감성 한스푼! 라탄 리스 만들기
4th row초등학생을 위한 꿈을 담은 틀, 원고쓰기 특강 (4-5학년반)
5th row초등학생을 위한 꿈을 담은 틀, 원고쓰기 특강 (2-3학년반)
ValueCountFrequency (%)
ar동화체험 694
 
8.7%
문화교실 186
 
2.3%
17시(치로로 172
 
2.2%
13시(치로로 165
 
2.1%
15시(어린왕자 164
 
2.1%
10시(어린왕자 156
 
2.0%
2023년 123
 
1.5%
체험형 99
 
1.2%
동화구연 98
 
1.2%
독서회 96
 
1.2%
Other values (2281) 6042
75.6%
2024-03-15T04:39:36.717422image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
6086
 
11.8%
2 2467
 
4.8%
( 2309
 
4.5%
) 2309
 
4.5%
1 1847
 
3.6%
0 1570
 
3.0%
/ 1542
 
3.0%
3 1411
 
2.7%
1306
 
2.5%
923
 
1.8%
Other values (676) 29853
57.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 25007
48.4%
Decimal Number 9286
 
18.0%
Space Separator 6086
 
11.8%
Close Punctuation 2855
 
5.5%
Open Punctuation 2852
 
5.5%
Other Punctuation 2000
 
3.9%
Uppercase Letter 1915
 
3.7%
Lowercase Letter 678
 
1.3%
Math Symbol 548
 
1.1%
Connector Punctuation 209
 
0.4%
Other values (5) 187
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
1306
 
5.2%
923
 
3.7%
917
 
3.7%
902
 
3.6%
864
 
3.5%
846
 
3.4%
605
 
2.4%
488
 
2.0%
434
 
1.7%
422
 
1.7%
Other values (584) 17300
69.2%
Uppercase Letter
ValueCountFrequency (%)
A 819
42.8%
R 706
36.9%
B 120
 
6.3%
T 52
 
2.7%
I 27
 
1.4%
E 26
 
1.4%
L 21
 
1.1%
G 19
 
1.0%
M 19
 
1.0%
O 17
 
0.9%
Other values (15) 89
 
4.6%
Lowercase Letter
ValueCountFrequency (%)
e 110
16.2%
n 64
9.4%
a 64
9.4%
o 57
8.4%
d 46
 
6.8%
i 45
 
6.6%
l 42
 
6.2%
h 41
 
6.0%
t 40
 
5.9%
r 40
 
5.9%
Other values (14) 129
19.0%
Other Punctuation
ValueCountFrequency (%)
/ 1542
77.1%
, 119
 
5.9%
: 97
 
4.9%
! 69
 
3.5%
? 61
 
3.0%
' 40
 
2.0%
& 21
 
1.1%
* 18
 
0.9%
. 13
 
0.7%
" 12
 
0.6%
Other values (4) 8
 
0.4%
Decimal Number
ValueCountFrequency (%)
2 2467
26.6%
1 1847
19.9%
0 1570
16.9%
3 1411
15.2%
5 443
 
4.8%
7 440
 
4.7%
6 350
 
3.8%
4 339
 
3.7%
8 219
 
2.4%
9 200
 
2.2%
Open Punctuation
ValueCountFrequency (%)
( 2309
81.0%
[ 528
 
18.5%
8
 
0.3%
7
 
0.2%
Close Punctuation
ValueCountFrequency (%)
) 2309
80.9%
] 531
 
18.6%
8
 
0.3%
7
 
0.2%
Math Symbol
ValueCountFrequency (%)
~ 325
59.3%
> 103
 
18.8%
< 102
 
18.6%
+ 18
 
3.3%
Space Separator
ValueCountFrequency (%)
6086
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 209
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 177
100.0%
Final Punctuation
ValueCountFrequency (%)
4
100.0%
Initial Punctuation
ValueCountFrequency (%)
3
100.0%
Other Symbol
ValueCountFrequency (%)
2
100.0%
Modifier Symbol
ValueCountFrequency (%)
^ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 24955
48.3%
Common 24023
46.5%
Latin 2593
 
5.0%
Han 52
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
1306
 
5.2%
923
 
3.7%
917
 
3.7%
902
 
3.6%
864
 
3.5%
846
 
3.4%
605
 
2.4%
488
 
2.0%
434
 
1.7%
422
 
1.7%
Other values (562) 17248
69.1%
Latin
ValueCountFrequency (%)
A 819
31.6%
R 706
27.2%
B 120
 
4.6%
e 110
 
4.2%
n 64
 
2.5%
a 64
 
2.5%
o 57
 
2.2%
T 52
 
2.0%
d 46
 
1.8%
i 45
 
1.7%
Other values (39) 510
19.7%
Common
ValueCountFrequency (%)
6086
25.3%
2 2467
10.3%
( 2309
 
9.6%
) 2309
 
9.6%
1 1847
 
7.7%
0 1570
 
6.5%
/ 1542
 
6.4%
3 1411
 
5.9%
] 531
 
2.2%
[ 528
 
2.2%
Other values (33) 3423
14.2%
Han
ValueCountFrequency (%)
10
19.2%
6
11.5%
6
11.5%
6
11.5%
2
 
3.8%
2
 
3.8%
2
 
3.8%
2
 
3.8%
2
 
3.8%
2
 
3.8%
Other values (12) 12
23.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 26570
51.5%
Hangul 24952
48.3%
CJK 51
 
0.1%
None 37
 
0.1%
Punctuation 7
 
< 0.1%
Compat Jamo 3
 
< 0.1%
Misc Symbols 2
 
< 0.1%
CJK Compat Ideographs 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
6086
22.9%
2 2467
9.3%
( 2309
 
8.7%
) 2309
 
8.7%
1 1847
 
7.0%
0 1570
 
5.9%
/ 1542
 
5.8%
3 1411
 
5.3%
A 819
 
3.1%
R 706
 
2.7%
Other values (72) 5504
20.7%
Hangul
ValueCountFrequency (%)
1306
 
5.2%
923
 
3.7%
917
 
3.7%
902
 
3.6%
864
 
3.5%
846
 
3.4%
605
 
2.4%
488
 
2.0%
434
 
1.7%
422
 
1.7%
Other values (560) 17245
69.1%
CJK
ValueCountFrequency (%)
10
19.6%
6
11.8%
6
11.8%
6
11.8%
2
 
3.9%
2
 
3.9%
2
 
3.9%
2
 
3.9%
2
 
3.9%
2
 
3.9%
Other values (11) 11
21.6%
None
ValueCountFrequency (%)
8
21.6%
8
21.6%
7
18.9%
7
18.9%
4
10.8%
· 2
 
5.4%
1
 
2.7%
Punctuation
ValueCountFrequency (%)
4
57.1%
3
42.9%
Compat Jamo
ValueCountFrequency (%)
2
66.7%
1
33.3%
Misc Symbols
ValueCountFrequency (%)
2
100.0%
CJK Compat Ideographs
ValueCountFrequency (%)
1
100.0%

주야
Categorical

Distinct8
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size15.0 KiB
오전
996 
<NA>
493 
오후
376 
야간
 
33
오전,오후
 
7
Other values (3)
 
4

Length

Max length8
Median length2
Mean length2.5353588
Min length2

Unique

Unique2 ?
Unique (%)0.1%

Sample

1st row오후
2nd row오전
3rd row오후
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
오전 996
52.2%
<NA> 493
25.8%
오후 376
 
19.7%
야간 33
 
1.7%
오전,오후 7
 
0.4%
오전,야간 2
 
0.1%
오전,오후,야간 1
 
0.1%
오후,야간 1
 
0.1%

Length

2024-03-15T04:39:37.026814image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-15T04:39:37.374929image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
오전 996
52.2%
na 493
25.8%
오후 376
 
19.7%
야간 33
 
1.7%
오전,오후 7
 
0.4%
오전,야간 2
 
0.1%
오전,오후,야간 1
 
0.1%
오후,야간 1
 
0.1%
Distinct241
Distinct (%)12.6%
Missing0
Missing (%)0.0%
Memory size15.0 KiB
Minimum2023-01-14 00:00:00
Maximum2023-12-30 00:00:00
2024-03-15T04:39:37.821224image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T04:39:38.098407image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
Distinct250
Distinct (%)13.1%
Missing0
Missing (%)0.0%
Memory size15.0 KiB
Minimum2023-01-20 00:00:00
Maximum2024-02-29 00:00:00
2024-03-15T04:39:38.595857image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T04:39:38.888901image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
Distinct162
Distinct (%)8.5%
Missing0
Missing (%)0.0%
Memory size15.0 KiB
Minimum2023-01-02 00:00:00
Maximum2023-12-12 00:00:00
2024-03-15T04:39:39.168247image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T04:39:39.514475image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
Distinct263
Distinct (%)13.8%
Missing0
Missing (%)0.0%
Memory size15.0 KiB
Minimum2023-01-08 00:00:00
Maximum2023-12-29 00:00:00
2024-03-15T04:39:39.914024image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T04:39:40.566005image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

총 접수인원
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size15.0 KiB
0
1907 
12
 
2

Length

Max length2
Median length1
Mean length1.0010477
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 1907
99.9%
12 2
 
0.1%

Length

2024-03-15T04:39:41.073378image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-15T04:39:41.413009image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 1907
99.9%
12 2
 
0.1%

온라인 접수 인원
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size15.0 KiB
0
1907 
12
 
2

Length

Max length2
Median length1
Mean length1.0010477
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 1907
99.9%
12 2
 
0.1%

Length

2024-03-15T04:39:41.804113image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-15T04:39:42.148179image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 1907
99.9%
12 2
 
0.1%

오프라인 접수 인원
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size15.0 KiB
0
1909 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 1909
100.0%

Length

2024-03-15T04:39:42.525837image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-15T04:39:42.848689image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 1909
100.0%

대기자인원
Real number (ℝ)

ZEROS 

Distinct16
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.3666841
Minimum0
Maximum50
Zeros157
Zeros (%)8.2%
Negative0
Negative (%)0.0%
Memory size16.9 KiB
2024-03-15T04:39:43.206652image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12
median3
Q34
95-th percentile7
Maximum50
Range50
Interquartile range (IQR)2

Descriptive statistics

Standard deviation3.5018205
Coefficient of variation (CV)1.0401393
Kurtosis46.56517
Mean3.3666841
Median Absolute Deviation (MAD)1
Skewness5.7286085
Sum6427
Variance12.262747
MonotonicityNot monotonic
2024-03-15T04:39:43.612138image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
2 708
37.1%
3 423
22.2%
5 283
 
14.8%
0 157
 
8.2%
4 117
 
6.1%
7 61
 
3.2%
1 48
 
2.5%
6 45
 
2.4%
10 29
 
1.5%
30 18
 
0.9%
Other values (6) 20
 
1.0%
ValueCountFrequency (%)
0 157
 
8.2%
1 48
 
2.5%
2 708
37.1%
3 423
22.2%
4 117
 
6.1%
5 283
 
14.8%
6 45
 
2.4%
7 61
 
3.2%
8 7
 
0.4%
9 1
 
0.1%
ValueCountFrequency (%)
50 1
 
0.1%
30 18
 
0.9%
20 2
 
0.1%
15 7
 
0.4%
12 2
 
0.1%
10 29
1.5%
9 1
 
0.1%
8 7
 
0.4%
7 61
3.2%
6 45
2.4%

수강인원(여성)
Real number (ℝ)

ZEROS 

Distinct52
Distinct (%)2.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.2325825
Minimum0
Maximum209
Zeros647
Zeros (%)33.9%
Negative0
Negative (%)0.0%
Memory size16.9 KiB
2024-03-15T04:39:44.032734image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median2
Q35
95-th percentile14
Maximum209
Range209
Interquartile range (IQR)5

Descriptive statistics

Standard deviation8.868322
Coefficient of variation (CV)2.0952508
Kurtosis175.33016
Mean4.2325825
Median Absolute Deviation (MAD)2
Skewness10.091069
Sum8080
Variance78.647135
MonotonicityNot monotonic
2024-03-15T04:39:44.446512image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 647
33.9%
1 205
 
10.7%
2 170
 
8.9%
3 169
 
8.9%
4 148
 
7.8%
5 101
 
5.3%
6 88
 
4.6%
7 80
 
4.2%
8 53
 
2.8%
10 47
 
2.5%
Other values (42) 201
 
10.5%
ValueCountFrequency (%)
0 647
33.9%
1 205
 
10.7%
2 170
 
8.9%
3 169
 
8.9%
4 148
 
7.8%
5 101
 
5.3%
6 88
 
4.6%
7 80
 
4.2%
8 53
 
2.8%
9 45
 
2.4%
ValueCountFrequency (%)
209 1
0.1%
98 1
0.1%
97 1
0.1%
91 1
0.1%
75 1
0.1%
72 2
0.1%
66 1
0.1%
56 1
0.1%
55 1
0.1%
49 1
0.1%

수강인원(남성)
Real number (ℝ)

ZEROS 

Distinct32
Distinct (%)1.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.2388685
Minimum0
Maximum74
Zeros834
Zeros (%)43.7%
Negative0
Negative (%)0.0%
Memory size16.9 KiB
2024-03-15T04:39:44.784307image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q33
95-th percentile7
Maximum74
Range74
Interquartile range (IQR)3

Descriptive statistics

Standard deviation4.1003577
Coefficient of variation (CV)1.8314419
Kurtosis78.285301
Mean2.2388685
Median Absolute Deviation (MAD)1
Skewness6.754279
Sum4274
Variance16.812933
MonotonicityNot monotonic
2024-03-15T04:39:45.131126image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=32)
ValueCountFrequency (%)
0 834
43.7%
1 242
 
12.7%
2 209
 
10.9%
3 194
 
10.2%
4 132
 
6.9%
5 96
 
5.0%
6 65
 
3.4%
7 49
 
2.6%
8 27
 
1.4%
9 15
 
0.8%
Other values (22) 46
 
2.4%
ValueCountFrequency (%)
0 834
43.7%
1 242
 
12.7%
2 209
 
10.9%
3 194
 
10.2%
4 132
 
6.9%
5 96
 
5.0%
6 65
 
3.4%
7 49
 
2.6%
8 27
 
1.4%
9 15
 
0.8%
ValueCountFrequency (%)
74 1
0.1%
47 1
0.1%
44 2
0.1%
40 1
0.1%
31 1
0.1%
30 2
0.1%
28 1
0.1%
27 2
0.1%
26 2
0.1%
25 1
0.1%

강좌대상
Categorical

IMBALANCE 

Distinct34
Distinct (%)1.8%
Missing0
Missing (%)0.0%
Memory size15.0 KiB
초등
1186 
유아
218 
성인
183 
유아,초등,청소년,청년/직장인,성인,어르신,장애인,외국인,기타
 
75
유아,초등
 
49
Other values (29)
198 

Length

Max length34
Median length2
Mean length4.5526454
Min length2

Unique

Unique6 ?
Unique (%)0.3%

Sample

1st row유아,초등,청소년,청년/직장인,성인,어르신
2nd row유아,초등,청소년,청년/직장인,성인,어르신
3rd row초등
4th row초등
5th row초등

Common Values

ValueCountFrequency (%)
초등 1186
62.1%
유아 218
 
11.4%
성인 183
 
9.6%
유아,초등,청소년,청년/직장인,성인,어르신,장애인,외국인,기타 75
 
3.9%
유아,초등 49
 
2.6%
청년/직장인,성인,어르신 37
 
1.9%
청년/직장인,성인,어르신,장애인,외국인,기타 23
 
1.2%
성인,어르신 19
 
1.0%
청소년 14
 
0.7%
청년/직장인,성인 14
 
0.7%
Other values (24) 91
 
4.8%

Length

2024-03-15T04:39:45.582426image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
초등 1186
62.1%
유아 218
 
11.4%
성인 183
 
9.6%
유아,초등,청소년,청년/직장인,성인,어르신,장애인,외국인,기타 75
 
3.9%
유아,초등 49
 
2.6%
청년/직장인,성인,어르신 37
 
1.9%
청년/직장인,성인,어르신,장애인,외국인,기타 23
 
1.2%
성인,어르신 19
 
1.0%
청소년 14
 
0.7%
청년/직장인,성인 14
 
0.7%
Other values (24) 91
 
4.8%

결제금액(원)
Categorical

IMBALANCE 

Distinct8
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size15.0 KiB
무료
1894 
10,000원
 
7
6,000원
 
2
15,000원
 
2
2,000원
 
1
Other values (3)
 
3

Length

Max length7
Median length2
Mean length2.0377161
Min length2

Unique

Unique4 ?
Unique (%)0.2%

Sample

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

Common Values

ValueCountFrequency (%)
무료 1894
99.2%
10,000원 7
 
0.4%
6,000원 2
 
0.1%
15,000원 2
 
0.1%
2,000원 1
 
0.1%
20,000원 1
 
0.1%
18,000원 1
 
0.1%
40,000원 1
 
0.1%

Length

2024-03-15T04:39:46.010535image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-15T04:39:46.327410image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
무료 1894
99.2%
10,000원 7
 
0.4%
6,000원 2
 
0.1%
15,000원 2
 
0.1%
2,000원 1
 
0.1%
20,000원 1
 
0.1%
18,000원 1
 
0.1%
40,000원 1
 
0.1%

운영형태
Categorical

IMBALANCE 

Distinct3
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size15.0 KiB
오프라인
1739 
온라인
 
148
병행(온라인, 오프라인)
 
22

Length

Max length13
Median length4
Mean length4.0261917
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
오프라인 1739
91.1%
온라인 148
 
7.8%
병행(온라인, 오프라인) 22
 
1.2%

Length

2024-03-15T04:39:46.687743image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-15T04:39:47.011477image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
오프라인 1761
91.2%
온라인 148
 
7.7%
병행(온라인 22
 
1.1%
Distinct228
Distinct (%)11.9%
Missing0
Missing (%)0.0%
Memory size15.0 KiB
2024-03-15T04:39:48.236477image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length32
Median length31
Mean length12.205867
Min length1

Characters and Unicode

Total characters23301
Distinct characters211
Distinct categories10 ?
Distinct scripts4 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique91 ?
Unique (%)4.8%

Sample

1st row모두의공간
2nd row모두의공간
3rd row2문화교실
4th row중앙도서관 시청각실(3층)
5th row중앙도서관 시청각실(3층)
ValueCountFrequency (%)
중원어린이도서관 739
18.0%
1층 713
17.4%
ar동화체험관 694
16.9%
4층 167
 
4.1%
1문화교실 104
 
2.5%
가상체험실 93
 
2.3%
3층 92
 
2.2%
2문화교실 63
 
1.5%
중원도서관 57
 
1.4%
2층 57
 
1.4%
Other values (172) 1317
32.2%
2024-03-15T04:39:50.004707image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2187
 
9.4%
1860
 
8.0%
1173
 
5.0%
1142
 
4.9%
1103
 
4.7%
1093
 
4.7%
1 973
 
4.2%
849
 
3.6%
818
 
3.5%
799
 
3.4%
Other values (201) 11304
48.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 17507
75.1%
Space Separator 2187
 
9.4%
Uppercase Letter 1621
 
7.0%
Decimal Number 1500
 
6.4%
Close Punctuation 144
 
0.6%
Open Punctuation 144
 
0.6%
Lowercase Letter 131
 
0.6%
Connector Punctuation 38
 
0.2%
Other Punctuation 19
 
0.1%
Dash Punctuation 10
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
1860
 
10.6%
1173
 
6.7%
1142
 
6.5%
1103
 
6.3%
1093
 
6.2%
849
 
4.8%
818
 
4.7%
799
 
4.6%
799
 
4.6%
780
 
4.5%
Other values (177) 7091
40.5%
Decimal Number
ValueCountFrequency (%)
1 973
64.9%
2 220
 
14.7%
4 179
 
11.9%
3 123
 
8.2%
7 2
 
0.1%
0 1
 
0.1%
9 1
 
0.1%
5 1
 
0.1%
Uppercase Letter
ValueCountFrequency (%)
A 694
42.8%
R 694
42.8%
O 106
 
6.5%
Z 74
 
4.6%
M 53
 
3.3%
Lowercase Letter
ValueCountFrequency (%)
o 75
57.3%
m 39
29.8%
z 17
 
13.0%
Other Punctuation
ValueCountFrequency (%)
, 14
73.7%
/ 4
 
21.1%
& 1
 
5.3%
Space Separator
ValueCountFrequency (%)
2187
100.0%
Close Punctuation
ValueCountFrequency (%)
) 144
100.0%
Open Punctuation
ValueCountFrequency (%)
( 144
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 38
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 10
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 17497
75.1%
Common 4042
 
17.3%
Latin 1752
 
7.5%
Han 10
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
1860
 
10.6%
1173
 
6.7%
1142
 
6.5%
1103
 
6.3%
1093
 
6.2%
849
 
4.9%
818
 
4.7%
799
 
4.6%
799
 
4.6%
780
 
4.5%
Other values (171) 7081
40.5%
Common
ValueCountFrequency (%)
2187
54.1%
1 973
24.1%
2 220
 
5.4%
4 179
 
4.4%
) 144
 
3.6%
( 144
 
3.6%
3 123
 
3.0%
_ 38
 
0.9%
, 14
 
0.3%
- 10
 
0.2%
Other values (6) 10
 
0.2%
Latin
ValueCountFrequency (%)
A 694
39.6%
R 694
39.6%
O 106
 
6.1%
o 75
 
4.3%
Z 74
 
4.2%
M 53
 
3.0%
m 39
 
2.2%
z 17
 
1.0%
Han
ValueCountFrequency (%)
5
50.0%
1
 
10.0%
1
 
10.0%
1
 
10.0%
1
 
10.0%
1
 
10.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 17497
75.1%
ASCII 5794
 
24.9%
CJK 10
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2187
37.7%
1 973
16.8%
A 694
 
12.0%
R 694
 
12.0%
2 220
 
3.8%
4 179
 
3.1%
) 144
 
2.5%
( 144
 
2.5%
3 123
 
2.1%
O 106
 
1.8%
Other values (14) 330
 
5.7%
Hangul
ValueCountFrequency (%)
1860
 
10.6%
1173
 
6.7%
1142
 
6.5%
1103
 
6.3%
1093
 
6.2%
849
 
4.9%
818
 
4.7%
799
 
4.6%
799
 
4.6%
780
 
4.5%
Other values (171) 7081
40.5%
CJK
ValueCountFrequency (%)
5
50.0%
1
 
10.0%
1
 
10.0%
1
 
10.0%
1
 
10.0%
1
 
10.0%

강좌장소상세
Text

MISSING 

Distinct92
Distinct (%)26.6%
Missing1563
Missing (%)81.9%
Memory size15.0 KiB
2024-03-15T04:39:50.971029image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length55
Median length37
Mean length13.115607
Min length4

Characters and Unicode

Total characters4538
Distinct characters194
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 (%)13.9%

Sample

1st row3층 모두의공간
2nd row3층 모두의공간
3rd row지하1층 병아리교실
4th row지하1층 병아리교실
5th row지하1층 병아리교실
ValueCountFrequency (%)
수정도서관 87
 
9.1%
1층 63
 
6.6%
지하1층 54
 
5.7%
병아리교실 44
 
4.6%
3층 40
 
4.2%
4층 32
 
3.4%
컴퓨터교육실 31
 
3.3%
1문화교실 27
 
2.8%
zone 24
 
2.5%
english 24
 
2.5%
Other values (132) 525
55.2%
2024-03-15T04:39:52.524751image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
605
 
13.3%
226
 
5.0%
209
 
4.6%
1 201
 
4.4%
172
 
3.8%
170
 
3.7%
146
 
3.2%
135
 
3.0%
108
 
2.4%
90
 
2.0%
Other values (184) 2476
54.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3090
68.1%
Space Separator 605
 
13.3%
Decimal Number 406
 
8.9%
Lowercase Letter 223
 
4.9%
Uppercase Letter 117
 
2.6%
Close Punctuation 36
 
0.8%
Open Punctuation 36
 
0.8%
Other Punctuation 17
 
0.4%
Math Symbol 7
 
0.2%
Dash Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
226
 
7.3%
209
 
6.8%
172
 
5.6%
170
 
5.5%
146
 
4.7%
135
 
4.4%
108
 
3.5%
90
 
2.9%
88
 
2.8%
86
 
2.8%
Other values (155) 1660
53.7%
Lowercase Letter
ValueCountFrequency (%)
n 48
21.5%
o 28
12.6%
e 24
10.8%
g 24
10.8%
l 24
10.8%
i 24
10.8%
h 24
10.8%
s 24
10.8%
m 2
 
0.9%
z 1
 
0.4%
Decimal Number
ValueCountFrequency (%)
1 201
49.5%
2 61
 
15.0%
3 55
 
13.5%
4 50
 
12.3%
5 16
 
3.9%
6 9
 
2.2%
8 7
 
1.7%
0 7
 
1.7%
Uppercase Letter
ValueCountFrequency (%)
Z 42
35.9%
O 34
29.1%
E 24
20.5%
M 17
14.5%
Other Punctuation
ValueCountFrequency (%)
, 12
70.6%
. 5
29.4%
Space Separator
ValueCountFrequency (%)
605
100.0%
Close Punctuation
ValueCountFrequency (%)
) 36
100.0%
Open Punctuation
ValueCountFrequency (%)
( 36
100.0%
Math Symbol
ValueCountFrequency (%)
~ 7
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3090
68.1%
Common 1108
 
24.4%
Latin 340
 
7.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
226
 
7.3%
209
 
6.8%
172
 
5.6%
170
 
5.5%
146
 
4.7%
135
 
4.4%
108
 
3.5%
90
 
2.9%
88
 
2.8%
86
 
2.8%
Other values (155) 1660
53.7%
Common
ValueCountFrequency (%)
605
54.6%
1 201
 
18.1%
2 61
 
5.5%
3 55
 
5.0%
4 50
 
4.5%
) 36
 
3.2%
( 36
 
3.2%
5 16
 
1.4%
, 12
 
1.1%
6 9
 
0.8%
Other values (5) 27
 
2.4%
Latin
ValueCountFrequency (%)
n 48
14.1%
Z 42
12.4%
O 34
10.0%
o 28
8.2%
e 24
7.1%
g 24
7.1%
E 24
7.1%
l 24
7.1%
i 24
7.1%
h 24
7.1%
Other values (4) 44
12.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3090
68.1%
ASCII 1448
31.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
605
41.8%
1 201
 
13.9%
2 61
 
4.2%
3 55
 
3.8%
4 50
 
3.5%
n 48
 
3.3%
Z 42
 
2.9%
) 36
 
2.5%
( 36
 
2.5%
O 34
 
2.3%
Other values (19) 280
19.3%
Hangul
ValueCountFrequency (%)
226
 
7.3%
209
 
6.8%
172
 
5.6%
170
 
5.5%
146
 
4.7%
135
 
4.4%
108
 
3.5%
90
 
2.9%
88
 
2.8%
86
 
2.8%
Other values (155) 1660
53.7%

접수링크
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size15.0 KiB
sugang.seongnam.go.kr
1909 

Length

Max length21
Median length21
Mean length21
Min length21

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowsugang.seongnam.go.kr
2nd rowsugang.seongnam.go.kr
3rd rowsugang.seongnam.go.kr
4th rowsugang.seongnam.go.kr
5th rowsugang.seongnam.go.kr

Common Values

ValueCountFrequency (%)
sugang.seongnam.go.kr 1909
100.0%

Length

2024-03-15T04:39:52.939407image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-15T04:39:53.256675image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
sugang.seongnam.go.kr 1909
100.0%
Distinct22
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Memory size15.0 KiB
031-729-4350
760 
031-752-3913
162 
031-743-9600
135 
031-729-8950
127 
031-729-8770
111 
Other values (17)
614 

Length

Max length13
Median length12
Mean length12.007334
Min length12

Unique

Unique1 ?
Unique (%)0.1%

Sample

1st row031-743-9600
2nd row031-743-9600
3rd row031-729-8770
4th row031-729-8516
5th row031-729-8516

Common Values

ValueCountFrequency (%)
031-729-4350 760
39.8%
031-752-3913 162
 
8.5%
031-743-9600 135
 
7.1%
031-729-8950 127
 
6.7%
031-729-8770 111
 
5.8%
031-729-4500 102
 
5.3%
031-729-4700 85
 
4.5%
031-729-8880 79
 
4.1%
031-729-4800 67
 
3.5%
031-729-8710 66
 
3.5%
Other values (12) 215
 
11.3%

Length

2024-03-15T04:39:53.658149image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
031-729-4350 760
39.8%
031-752-3913 162
 
8.5%
031-743-9600 135
 
7.1%
031-729-8950 127
 
6.7%
031-729-8770 111
 
5.8%
031-729-4500 102
 
5.3%
031-729-4700 85
 
4.5%
031-729-8880 79
 
4.1%
031-729-4800 67
 
3.5%
031-729-8710 66
 
3.5%
Other values (12) 215
 
11.3%

Sample

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