Overview

Dataset statistics

Number of variables5
Number of observations216
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory8.8 KiB
Average record size in memory41.6 B

Variable types

Numeric1
Text2
DateTime1
Categorical1

Dataset

Description게시물 번호,글 제목,게시물 링크주소,작성일,부서
Author영등포구
URLhttps://data.seoul.go.kr/dataList/OA-12712/S/1/datasetView.do

Alerts

게시물 번호 is highly overall correlated with 부서High correlation
부서 is highly overall correlated with 게시물 번호High correlation
부서 is highly imbalanced (77.1%)Imbalance
게시물 번호 has unique valuesUnique
게시물 링크주소 has unique valuesUnique

Reproduction

Analysis started2024-03-23 02:57:03.303103
Analysis finished2024-03-23 02:57:04.532265
Duration1.23 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

게시물 번호
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct216
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean273418.78
Minimum270118
Maximum382356
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.0 KiB
2024-03-23T02:57:04.757751image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum270118
5-th percentile270128.75
Q1270171.75
median270225.5
Q3270279.25
95-th percentile270322.25
Maximum382356
Range112238
Interquartile range (IQR)107.5

Descriptive statistics

Standard deviation16898.978
Coefficient of variation (CV)0.061806209
Kurtosis27.954862
Mean273418.78
Median Absolute Deviation (MAD)54
Skewness5.3639371
Sum59058456
Variance2.8557546 × 108
MonotonicityNot monotonic
2024-03-23T02:57:05.148885image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
382356 1
 
0.5%
270184 1
 
0.5%
270195 1
 
0.5%
270194 1
 
0.5%
270193 1
 
0.5%
270192 1
 
0.5%
270191 1
 
0.5%
270190 1
 
0.5%
270189 1
 
0.5%
270188 1
 
0.5%
Other values (206) 206
95.4%
ValueCountFrequency (%)
270118 1
0.5%
270119 1
0.5%
270120 1
0.5%
270121 1
0.5%
270122 1
0.5%
270123 1
0.5%
270124 1
0.5%
270125 1
0.5%
270126 1
0.5%
270127 1
0.5%
ValueCountFrequency (%)
382356 1
0.5%
377658 1
0.5%
366800 1
0.5%
364027 1
0.5%
362541 1
0.5%
359010 1
0.5%
320750 1
0.5%
319242 1
0.5%
270325 1
0.5%
270324 1
0.5%
Distinct212
Distinct (%)98.1%
Missing0
Missing (%)0.0%
Memory size1.8 KiB
2024-03-23T02:57:05.561628image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length52
Median length36
Mean length21.976852
Min length9

Characters and Unicode

Total characters4747
Distinct characters317
Distinct categories12 ?
Distinct scripts3 ?
Distinct blocks5 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique209 ?
Unique (%)96.8%

Sample

1st row2024년 마음튼튼?행복가득 ?마음건강 부모학교?
2nd row‘혈관튼튼’ 고혈압 건강강좌
3rd row마음튼튼, 행복가득 [23년 마음건강부모학교] 개최 안내
4th row11월 찾아가는 고혈압?당뇨병 건강강좌
5th row보건분소 고혈압?당뇨병 건강강좌
ValueCountFrequency (%)
안내 44
 
4.3%
신청하세요 40
 
3.9%
모집 27
 
2.6%
모유수유클리닉 24
 
2.3%
보건분소 24
 
2.3%
19
 
1.8%
강좌 19
 
1.8%
출산준비교실 17
 
1.7%
건강증진교실 17
 
1.7%
8월 16
 
1.6%
Other values (322) 783
76.0%
2024-03-23T02:57:06.446268image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
814
 
17.1%
150
 
3.2%
116
 
2.4%
108
 
2.3%
105
 
2.2%
95
 
2.0%
93
 
2.0%
87
 
1.8%
85
 
1.8%
80
 
1.7%
Other values (307) 3014
63.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3318
69.9%
Space Separator 814
 
17.1%
Decimal Number 319
 
6.7%
Other Punctuation 115
 
2.4%
Close Punctuation 54
 
1.1%
Open Punctuation 54
 
1.1%
Math Symbol 43
 
0.9%
Uppercase Letter 17
 
0.4%
Dash Punctuation 7
 
0.1%
Other Symbol 2
 
< 0.1%
Other values (2) 4
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
150
 
4.5%
116
 
3.5%
108
 
3.3%
105
 
3.2%
95
 
2.9%
93
 
2.8%
87
 
2.6%
85
 
2.6%
80
 
2.4%
67
 
2.0%
Other values (263) 2332
70.3%
Decimal Number
ValueCountFrequency (%)
1 74
23.2%
2 56
17.6%
0 45
14.1%
8 27
 
8.5%
9 26
 
8.2%
7 20
 
6.3%
5 19
 
6.0%
3 18
 
5.6%
4 18
 
5.6%
6 16
 
5.0%
Uppercase Letter
ValueCountFrequency (%)
D 4
23.5%
M 2
11.8%
S 2
11.8%
H 2
11.8%
A 2
11.8%
I 1
 
5.9%
T 1
 
5.9%
B 1
 
5.9%
R 1
 
5.9%
E 1
 
5.9%
Other Punctuation
ValueCountFrequency (%)
' 38
33.0%
. 24
20.9%
, 21
18.3%
! 19
16.5%
? 10
 
8.7%
/ 3
 
2.6%
Close Punctuation
ValueCountFrequency (%)
) 22
40.7%
17
31.5%
] 13
24.1%
1
 
1.9%
1
 
1.9%
Open Punctuation
ValueCountFrequency (%)
( 22
40.7%
17
31.5%
[ 13
24.1%
1
 
1.9%
1
 
1.9%
Math Symbol
ValueCountFrequency (%)
~ 41
95.3%
> 1
 
2.3%
< 1
 
2.3%
Space Separator
ValueCountFrequency (%)
814
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 7
100.0%
Other Symbol
ValueCountFrequency (%)
2
100.0%
Initial Punctuation
ValueCountFrequency (%)
2
100.0%
Final Punctuation
ValueCountFrequency (%)
2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3318
69.9%
Common 1412
29.7%
Latin 17
 
0.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
150
 
4.5%
116
 
3.5%
108
 
3.3%
105
 
3.2%
95
 
2.9%
93
 
2.8%
87
 
2.6%
85
 
2.6%
80
 
2.4%
67
 
2.0%
Other values (263) 2332
70.3%
Common
ValueCountFrequency (%)
814
57.6%
1 74
 
5.2%
2 56
 
4.0%
0 45
 
3.2%
~ 41
 
2.9%
' 38
 
2.7%
8 27
 
1.9%
9 26
 
1.8%
. 24
 
1.7%
) 22
 
1.6%
Other values (24) 245
 
17.4%
Latin
ValueCountFrequency (%)
D 4
23.5%
M 2
11.8%
S 2
11.8%
H 2
11.8%
A 2
11.8%
I 1
 
5.9%
T 1
 
5.9%
B 1
 
5.9%
R 1
 
5.9%
E 1
 
5.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3318
69.9%
ASCII 1385
29.2%
None 38
 
0.8%
Punctuation 4
 
0.1%
Geometric Shapes 2
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
814
58.8%
1 74
 
5.3%
2 56
 
4.0%
0 45
 
3.2%
~ 41
 
3.0%
' 38
 
2.7%
8 27
 
1.9%
9 26
 
1.9%
. 24
 
1.7%
) 22
 
1.6%
Other values (25) 218
 
15.7%
Hangul
ValueCountFrequency (%)
150
 
4.5%
116
 
3.5%
108
 
3.3%
105
 
3.2%
95
 
2.9%
93
 
2.8%
87
 
2.6%
85
 
2.6%
80
 
2.4%
67
 
2.0%
Other values (263) 2332
70.3%
None
ValueCountFrequency (%)
17
44.7%
17
44.7%
1
 
2.6%
1
 
2.6%
1
 
2.6%
1
 
2.6%
Geometric Shapes
ValueCountFrequency (%)
2
100.0%
Punctuation
ValueCountFrequency (%)
2
50.0%
2
50.0%
Distinct216
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.8 KiB
2024-03-23T02:57:07.185891image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length80
Median length80
Mean length80
Min length80

Characters and Unicode

Total characters17280
Distinct characters36
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique216 ?
Unique (%)100.0%

Sample

1st rowhttp://www.ydp.go.kr:443/www/selectBbsNttView.do?bbsNo=322&nttNo=382356&key=3731
2nd rowhttp://www.ydp.go.kr:443/www/selectBbsNttView.do?bbsNo=322&nttNo=377658&key=3731
3rd rowhttp://www.ydp.go.kr:443/www/selectBbsNttView.do?bbsNo=322&nttNo=366800&key=3731
4th rowhttp://www.ydp.go.kr:443/www/selectBbsNttView.do?bbsNo=322&nttNo=364027&key=3731
5th rowhttp://www.ydp.go.kr:443/www/selectBbsNttView.do?bbsNo=322&nttNo=362541&key=3731
ValueCountFrequency (%)
http://www.ydp.go.kr:443/www/selectbbsnttview.do?bbsno=322&nttno=382356&key=3731 1
 
0.5%
http://www.ydp.go.kr:443/www/selectbbsnttview.do?bbsno=322&nttno=270186&key=3731 1
 
0.5%
http://www.ydp.go.kr:443/www/selectbbsnttview.do?bbsno=322&nttno=270173&key=3731 1
 
0.5%
http://www.ydp.go.kr:443/www/selectbbsnttview.do?bbsno=322&nttno=270196&key=3731 1
 
0.5%
http://www.ydp.go.kr:443/www/selectbbsnttview.do?bbsno=322&nttno=270195&key=3731 1
 
0.5%
http://www.ydp.go.kr:443/www/selectbbsnttview.do?bbsno=322&nttno=270194&key=3731 1
 
0.5%
http://www.ydp.go.kr:443/www/selectbbsnttview.do?bbsno=322&nttno=270193&key=3731 1
 
0.5%
http://www.ydp.go.kr:443/www/selectbbsnttview.do?bbsno=322&nttno=270192&key=3731 1
 
0.5%
http://www.ydp.go.kr:443/www/selectbbsnttview.do?bbsno=322&nttno=270191&key=3731 1
 
0.5%
http://www.ydp.go.kr:443/www/selectbbsnttview.do?bbsno=322&nttno=270190&key=3731 1
 
0.5%
Other values (206) 206
95.4%
2024-03-23T02:57:08.247373image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
t 1512
 
8.8%
w 1512
 
8.8%
3 940
 
5.4%
o 864
 
5.0%
e 864
 
5.0%
/ 864
 
5.0%
. 864
 
5.0%
2 793
 
4.6%
b 648
 
3.8%
= 648
 
3.8%
Other values (26) 7771
45.0%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9288
53.8%
Decimal Number 3456
 
20.0%
Other Punctuation 2808
 
16.2%
Uppercase Letter 1080
 
6.2%
Math Symbol 648
 
3.8%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
t 1512
16.3%
w 1512
16.3%
o 864
9.3%
e 864
9.3%
b 648
7.0%
s 648
7.0%
d 432
 
4.7%
k 432
 
4.7%
y 432
 
4.7%
p 432
 
4.7%
Other values (7) 1512
16.3%
Decimal Number
ValueCountFrequency (%)
3 940
27.2%
2 793
22.9%
4 476
13.8%
7 468
13.5%
1 344
 
10.0%
0 256
 
7.4%
5 46
 
1.3%
6 46
 
1.3%
8 44
 
1.3%
9 43
 
1.2%
Other Punctuation
ValueCountFrequency (%)
/ 864
30.8%
. 864
30.8%
& 432
15.4%
: 432
15.4%
? 216
 
7.7%
Uppercase Letter
ValueCountFrequency (%)
N 648
60.0%
V 216
 
20.0%
B 216
 
20.0%
Math Symbol
ValueCountFrequency (%)
= 648
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 10368
60.0%
Common 6912
40.0%

Most frequent character per script

Latin
ValueCountFrequency (%)
t 1512
14.6%
w 1512
14.6%
o 864
 
8.3%
e 864
 
8.3%
b 648
 
6.2%
s 648
 
6.2%
N 648
 
6.2%
d 432
 
4.2%
k 432
 
4.2%
y 432
 
4.2%
Other values (10) 2376
22.9%
Common
ValueCountFrequency (%)
3 940
13.6%
/ 864
12.5%
. 864
12.5%
2 793
11.5%
= 648
9.4%
4 476
6.9%
7 468
6.8%
& 432
6.2%
: 432
6.2%
1 344
 
5.0%
Other values (6) 651
9.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 17280
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
t 1512
 
8.8%
w 1512
 
8.8%
3 940
 
5.4%
o 864
 
5.0%
e 864
 
5.0%
/ 864
 
5.0%
. 864
 
5.0%
2 793
 
4.6%
b 648
 
3.8%
= 648
 
3.8%
Other values (26) 7771
45.0%
Distinct161
Distinct (%)74.5%
Missing0
Missing (%)0.0%
Memory size1.8 KiB
Minimum2012-01-27 00:00:00
Maximum2024-02-21 00:00:00
2024-03-23T02:57:08.660960image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T02:57:09.038337image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

부서
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct2
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size1.8 KiB
<NA>
208 
건강증진과
 
8

Length

Max length5
Median length4
Mean length4.037037
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 208
96.3%
건강증진과 8
 
3.7%

Length

2024-03-23T02:57:09.491089image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-23T02:57:09.851048image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 208
96.3%
건강증진과 8
 
3.7%

Interactions

2024-03-23T02:57:03.771180image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-03-23T02:57:10.167188image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
게시물 번호
게시물 번호1.000
2024-03-23T02:57:10.339845image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
게시물 번호부서
게시물 번호1.0001.000
부서1.0001.000

Missing values

2024-03-23T02:57:04.101006image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-23T02:57:04.414650image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

Sample

게시물 번호글 제목게시물 링크주소작성일부서
03823562024년 마음튼튼?행복가득 ?마음건강 부모학교?http://www.ydp.go.kr:443/www/selectBbsNttView.do?bbsNo=322&nttNo=382356&key=37312024.02.21건강증진과
1377658‘혈관튼튼’ 고혈압 건강강좌http://www.ydp.go.kr:443/www/selectBbsNttView.do?bbsNo=322&nttNo=377658&key=37312023.10.06건강증진과
2366800마음튼튼, 행복가득 [23년 마음건강부모학교] 개최 안내http://www.ydp.go.kr:443/www/selectBbsNttView.do?bbsNo=322&nttNo=366800&key=37312023.01.25건강증진과
336402711월 찾아가는 고혈압?당뇨병 건강강좌http://www.ydp.go.kr:443/www/selectBbsNttView.do?bbsNo=322&nttNo=364027&key=37312022.10.26건강증진과
4362541보건분소 고혈압?당뇨병 건강강좌http://www.ydp.go.kr:443/www/selectBbsNttView.do?bbsNo=322&nttNo=362541&key=37312022.09.15건강증진과
53590102022년 마음튼튼, 행복가득 [마음건강부모학교]http://www.ydp.go.kr:443/www/selectBbsNttView.do?bbsNo=322&nttNo=359010&key=37312022.06.20건강증진과
6320750산만한 우리 아이, 혹시 ADHD일까?(1월 정신건강아카데미)http://www.ydp.go.kr:443/www/selectBbsNttView.do?bbsNo=322&nttNo=320750&key=37312020.01.09건강증진과
73192422019년 아동청소년 정신건강 예방강좌<맹모강남지교보다 정신건강이 성적을 좌우한다>http://www.ydp.go.kr:443/www/selectBbsNttView.do?bbsNo=322&nttNo=319242&key=37312019.12.04건강증진과
8270325▣ 사이코드라마(12/4)에 초대합니다 ▣http://www.ydp.go.kr:443/www/selectBbsNttView.do?bbsNo=322&nttNo=270325&key=37312019.11.26<NA>
927032412월 정신건강 아카데미 강좌 '니코틴 중독, 벗어날 수 있을까?'http://www.ydp.go.kr:443/www/selectBbsNttView.do?bbsNo=322&nttNo=270324&key=37312019.11.21<NA>
게시물 번호글 제목게시물 링크주소작성일부서
2062701274월 『 모유수유 클리닉 』신청하세요~http://www.ydp.go.kr:443/www/selectBbsNttView.do?bbsNo=322&nttNo=270127&key=37312012.03.23<NA>
207270126보건소 분소 3월 건강증진교실 안내http://www.ydp.go.kr:443/www/selectBbsNttView.do?bbsNo=322&nttNo=270126&key=37312012.03.08<NA>
2082701253월 『 모유수유 클리닉 』신청하세요~http://www.ydp.go.kr:443/www/selectBbsNttView.do?bbsNo=322&nttNo=270125&key=37312012.02.24<NA>
2092701243월 『 출산준비교실 』마감되었습니다.http://www.ydp.go.kr:443/www/selectBbsNttView.do?bbsNo=322&nttNo=270124&key=37312012.02.22<NA>
2102701232월 22일 (수) 모유수유클리닉이 마감되었습니다.http://www.ydp.go.kr:443/www/selectBbsNttView.do?bbsNo=322&nttNo=270123&key=37312012.02.20<NA>
2112701222월 『골반튼튼, 순산 요가교실』 이 마감되었습니다.http://www.ydp.go.kr:443/www/selectBbsNttView.do?bbsNo=322&nttNo=270122&key=37312012.02.13<NA>
212270121보건분소 2월 건강증진교실 안내http://www.ydp.go.kr:443/www/selectBbsNttView.do?bbsNo=322&nttNo=270121&key=37312012.02.09<NA>
2132701203월 출산준비교실 신청하세요~http://www.ydp.go.kr:443/www/selectBbsNttView.do?bbsNo=322&nttNo=270120&key=37312012.02.01<NA>
2142701192월 『골반튼튼, 순산 요가교실』 안내http://www.ydp.go.kr:443/www/selectBbsNttView.do?bbsNo=322&nttNo=270119&key=37312012.01.30<NA>
2152701182월 『 모유수유 클리닉 』운영 안내http://www.ydp.go.kr:443/www/selectBbsNttView.do?bbsNo=322&nttNo=270118&key=37312012.01.27<NA>