Overview

Dataset statistics

Number of variables9
Number of observations322
Missing cells546
Missing cells (%)18.8%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory24.0 KiB
Average record size in memory76.4 B

Variable types

Numeric3
Text4
Categorical1
Unsupported1

Dataset

Description게시물번호,제목,내용,등록일시,작성부서,첨부파일갯수,첨부파일이름,첨부파일주소,상세 내용 보기 URL
Author관악구
URLhttps://data.seoul.go.kr/dataList/OA-12690/S/1/datasetView.do

Alerts

게시물번호 is highly overall correlated with 등록일시High correlation
등록일시 is highly overall correlated with 게시물번호High correlation
내용 is highly imbalanced (51.7%)Imbalance
작성부서 has 322 (100.0%) missing valuesMissing
첨부파일이름 has 112 (34.8%) missing valuesMissing
첨부파일주소 has 112 (34.8%) missing valuesMissing
게시물번호 has unique valuesUnique
등록일시 has unique valuesUnique
상세 내용 보기 URL has unique valuesUnique
작성부서 is an unsupported type, check if it needs cleaning or further analysisUnsupported
첨부파일갯수 has 112 (34.8%) zerosZeros

Reproduction

Analysis started2024-05-04 00:53:52.969439
Analysis finished2024-05-04 00:53:57.896459
Duration4.93 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

게시물번호
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct322
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean140824.85
Minimum129493
Maximum158271
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.0 KiB
2024-05-04T00:53:58.106204image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum129493
5-th percentile130688.9
Q1134319.75
median138833.5
Q3143962.75
95-th percentile156624.15
Maximum158271
Range28778
Interquartile range (IQR)9643

Descriptive statistics

Standard deviation8145.4804
Coefficient of variation (CV)0.057841213
Kurtosis-0.57786026
Mean140824.85
Median Absolute Deviation (MAD)4753.5
Skewness0.74167316
Sum45345603
Variance66348851
MonotonicityStrictly decreasing
2024-05-04T00:53:58.741487image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
158271 1
 
0.3%
134244 1
 
0.3%
135492 1
 
0.3%
135495 1
 
0.3%
135619 1
 
0.3%
135726 1
 
0.3%
135768 1
 
0.3%
135878 1
 
0.3%
135992 1
 
0.3%
136095 1
 
0.3%
Other values (312) 312
96.9%
ValueCountFrequency (%)
129493 1
0.3%
129564 1
0.3%
129575 1
0.3%
129720 1
0.3%
129736 1
0.3%
129743 1
0.3%
129870 1
0.3%
129875 1
0.3%
129876 1
0.3%
129955 1
0.3%
ValueCountFrequency (%)
158271 1
0.3%
158263 1
0.3%
158219 1
0.3%
158147 1
0.3%
158133 1
0.3%
158132 1
0.3%
157675 1
0.3%
157674 1
0.3%
156790 1
0.3%
156743 1
0.3%

제목
Text

Distinct318
Distinct (%)98.8%
Missing0
Missing (%)0.0%
Memory size2.6 KiB
2024-05-04T00:53:59.367505image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length74
Median length46
Mean length29.63354
Min length10

Characters and Unicode

Total characters9542
Distinct characters451
Distinct categories12 ?
Distinct scripts4 ?
Distinct blocks5 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique314 ?
Unique (%)97.5%

Sample

1st row오존 주의보 해제 알림 [`24.5.3.(금) 17시]
2nd row오존 주의보 발령 알림 [`24.5.3.(금) 15시]
3rd row2024.4월 관악구 인구 및 세대 현황
4th row대학연합 국인과 함께하는 입시 멘토링 멘티 모집(고등학생)
5th row오존 주의보 해제 알림 [`24.4.28.(일) 18시]
ValueCountFrequency (%)
안내 85
 
4.2%
관악구 82
 
4.1%
모집 46
 
2.3%
및 43
 
2.1%
알림 35
 
1.7%
2023년 35
 
1.7%
인구 25
 
1.2%
제안서 24
 
1.2%
2024년 23
 
1.1%
운영 23
 
1.1%
Other values (829) 1589
79.1%
2024-05-04T00:54:00.258423image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1693
 
17.7%
2 493
 
5.2%
0 200
 
2.1%
. 166
 
1.7%
관 165
 
1.7%
안 156
 
1.6%
) 142
 
1.5%
( 142
 
1.5%
년 142
 
1.5%
악 139
 
1.5%
Other values (441) 6104
64.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 5964
62.5%
Space Separator 1693
 
17.7%
Decimal Number 1083
 
11.3%
Other Punctuation 223
 
2.3%
Close Punctuation 199
 
2.1%
Open Punctuation 199
 
2.1%
Uppercase Letter 91
 
1.0%
Lowercase Letter 33
 
0.3%
Modifier Symbol 22
 
0.2%
Math Symbol 15
 
0.2%
Other values (2) 20
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
관 165
 
2.8%
안 156
 
2.6%
년 142
 
2.4%
악 139
 
2.3%
구 136
 
2.3%
내 108
 
1.8%
가 107
 
1.8%
공 100
 
1.7%
지 88
 
1.5%
기 87
 
1.5%
Other values (380) 4736
79.4%
Uppercase Letter
ValueCountFrequency (%)
S 21
23.1%
O 15
16.5%
P 12
13.2%
M 8
 
8.8%
T 8
 
8.8%
A 7
 
7.7%
H 3
 
3.3%
C 2
 
2.2%
N 2
 
2.2%
G 2
 
2.2%
Other values (9) 11
12.1%
Decimal Number
ValueCountFrequency (%)
2 493
45.5%
0 200
18.5%
3 136
 
12.6%
1 91
 
8.4%
4 76
 
7.0%
9 22
 
2.0%
5 20
 
1.8%
7 16
 
1.5%
8 15
 
1.4%
6 14
 
1.3%
Lowercase Letter
ValueCountFrequency (%)
e 7
21.2%
a 5
15.2%
o 4
12.1%
d 3
9.1%
r 3
9.1%
p 3
9.1%
t 3
9.1%
k 2
 
6.1%
l 2
 
6.1%
n 1
 
3.0%
Other Punctuation
ValueCountFrequency (%)
. 166
74.4%
' 27
 
12.1%
, 17
 
7.6%
? 8
 
3.6%
! 4
 
1.8%
？ 1
 
0.4%
Close Punctuation
ValueCountFrequency (%)
) 142
71.4%
] 34
 
17.1%
」 21
 
10.6%
』 2
 
1.0%
Open Punctuation
ValueCountFrequency (%)
( 142
71.4%
[ 34
 
17.1%
「 21
 
10.6%
『 2
 
1.0%
Math Symbol
ValueCountFrequency (%)
> 7
46.7%
~ 5
33.3%
< 3
20.0%
Other Symbol
ValueCountFrequency (%)
★ 6
66.7%
☆ 3
33.3%
Space Separator
ValueCountFrequency (%)
1693
100.0%
Modifier Symbol
ValueCountFrequency (%)
` 22
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 11
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 5962
62.5%
Common 3454
36.2%
Latin 124
 
1.3%
Han 2
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
관 165
 
2.8%
안 156
 
2.6%
년 142
 
2.4%
악 139
 
2.3%
구 136
 
2.3%
내 108
 
1.8%
가 107
 
1.8%
공 100
 
1.7%
지 88
 
1.5%
기 87
 
1.5%
Other values (378) 4734
79.4%
Common
ValueCountFrequency (%)
1693
49.0%
2 493
 
14.3%
0 200
 
5.8%
. 166
 
4.8%
) 142
 
4.1%
( 142
 
4.1%
3 136
 
3.9%
1 91
 
2.6%
4 76
 
2.2%
] 34
 
1.0%
Other values (22) 281
 
8.1%
Latin
ValueCountFrequency (%)
S 21
16.9%
O 15
12.1%
P 12
 
9.7%
M 8
 
6.5%
T 8
 
6.5%
A 7
 
5.6%
e 7
 
5.6%
a 5
 
4.0%
o 4
 
3.2%
d 3
 
2.4%
Other values (19) 34
27.4%
Han
ValueCountFrequency (%)
大 1
50.0%
舊 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 5962
62.5%
ASCII 3522
36.9%
None 47
 
0.5%
Misc Symbols 9
 
0.1%
CJK 2
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1693
48.1%
2 493
 
14.0%
0 200
 
5.7%
. 166
 
4.7%
) 142
 
4.0%
( 142
 
4.0%
3 136
 
3.9%
1 91
 
2.6%
4 76
 
2.2%
] 34
 
1.0%
Other values (44) 349
 
9.9%
Hangul
ValueCountFrequency (%)
관 165
 
2.8%
안 156
 
2.6%
년 142
 
2.4%
악 139
 
2.3%
구 136
 
2.3%
내 108
 
1.8%
가 107
 
1.8%
공 100
 
1.7%
지 88
 
1.5%
기 87
 
1.5%
Other values (378) 4734
79.4%
None
ValueCountFrequency (%)
「 21
44.7%
」 21
44.7%
『 2
 
4.3%
』 2
 
4.3%
？ 1
 
2.1%
Misc Symbols
ValueCountFrequency (%)
★ 6
66.7%
☆ 3
33.3%
CJK
ValueCountFrequency (%)
大 1
50.0%
舊 1
50.0%

내용
Categorical

IMBALANCE 

Distinct5
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Memory size2.6 KiB
<div class='se-contents' style='line-height: 1.2; font-family: Arial, Helvetica, sans-serif; font-size: 11pt;' data-document-padding-top='18' data-document-padding-left='23' data-document-padding-right='23'><style type='text/css' data-seresponsive='true'>.se-contents .se-scrollbox{overflow-x: auto; -ms-overflow-style: none; scrollbar-width: none;}.se-contents .se-scrollbox::-webkit-scrollbar{display: none;}.se-contents .se-responsive.se-image .se-caption{max-width: 100% !important;}.se-contents .se-responsive.se-image, .se-contents .se-responsive.se-video{max-width: 100%; height: auto !important;}.se-contents .se-responsive.se-image > img, .se-contents .se-responsive.se-video > *{max-width: 100%; min-width: 10px; height: auto !important;}.se-contents .se-responsive.se-video .se-youtube-wrapper{position: relative; padding-bottom: 56.25%; height: 0; overflow: hidden; display: block;}.se-contents .se-responsive.se-video .se-youtube-wrapper > iframe{width: 100% !important; height: 100% !important; position: absol
203 
<div class='se-contents' style='line-height: 1.2; font-family: Arial, Helvetica, sans-serif; font-size: 11pt;' data-document-padding-right='23' data-document-padding-left='23' data-document-padding-top='18'><style type='text/css' data-seresponsive='true'>.se-contents .se-scrollbox{overflow-x: auto; -ms-overflow-style: none; scrollbar-width: none;}.se-contents .se-scrollbox::-webkit-scrollbar{display: none;}.se-contents .se-responsive.se-image .se-caption{max-width: 100% !important;}.se-contents .se-responsive.se-image, .se-contents .se-responsive.se-video{max-width: 100%; height: auto !important;}.se-contents .se-responsive.se-image > img, .se-contents .se-responsive.se-video > *{max-width: 100%; min-width: 10px; height: auto !important;}.se-contents .se-responsive.se-video .se-youtube-wrapper{position: relative; padding-bottom: 56.25%; height: 0; overflow: hidden; display: block;}.se-contents .se-responsive.se-video .se-youtube-wrapper > iframe{width: 100% !important; height: 100% !important; position: absol
110 
<div class='se-contents' style='font-family: Arial, Helvetica, sans-serif; font-size: 11pt; line-height: 1.2;' data-document-padding-top='18' data-document-padding-left='23' data-document-padding-right='23'><style type='text/css' data-seresponsive='true'>.se-contents .se-scrollbox{overflow-x: auto; -ms-overflow-style: none; scrollbar-width: none;}.se-contents .se-scrollbox::-webkit-scrollbar{display: none;}.se-contents .se-responsive.se-image .se-caption{max-width: 100% !important;}.se-contents .se-responsive.se-image, .se-contents .se-responsive.se-video{max-width: 100%; height: auto !important;}.se-contents .se-responsive.se-image > img, .se-contents .se-responsive.se-video > *{max-width: 100%; min-width: 10px; height: auto !important;}.se-contents .se-responsive.se-video .se-youtube-wrapper{position: relative; padding-bottom: 56.25%; height: 0; overflow: hidden; display: block;}.se-contents .se-responsive.se-video .se-youtube-wrapper > iframe{width: 100% !important; height: 100% !important; position: absol
 
7
<div class='se-contents' style='line-height: 1.2; font-family: Arial, Helvetica, sans-serif; font-size: 11pt;' data-document-padding-top='48' data-document-padding-left='68.02666666666667' data-document-padding-right='68.02666666666667' data-document-width='793.7066666666666'><style type='text/css' data-seresponsive='true'>.se-contents .se-scrollbox{overflow-x: auto; -ms-overflow-style: none; scrollbar-width: none;}.se-contents .se-scrollbox::-webkit-scrollbar{display: none;}.se-contents .se-responsive.se-image .se-caption{max-width: 100% !important;}.se-contents .se-responsive.se-image, .se-contents .se-responsive.se-video{max-width: 100%; height: auto !important;}.se-contents .se-responsive.se-image > img, .se-contents .se-responsive.se-video > *{max-width: 100%; min-width: 10px; height: auto !important;}.se-contents .se-responsive.se-video .se-youtube-wrapper{position: relative; padding-bottom: 56.25%; height: 0; overflow: hidden; display: block;}.se-contents .se-responsive.se-video .se-youtube-wrapper > i
 
1
<div class='se-contents' style='line-height: 1.2; font-family: Arial, Helvetica, sans-serif; font-size: 11pt;' data-document-padding-top='75.58666666666666' data-document-padding-left='71.8' data-document-padding-right='71.8' data-document-width='793.7066666666666'><style type='text/css' data-seresponsive='true'>.se-contents .se-scrollbox{overflow-x: auto; -ms-overflow-style: none; scrollbar-width: none;}.se-contents .se-scrollbox::-webkit-scrollbar{display: none;}.se-contents .se-responsive.se-image .se-caption{max-width: 100% !important;}.se-contents .se-responsive.se-image, .se-contents .se-responsive.se-video{max-width: 100%; height: auto !important;}.se-contents .se-responsive.se-image > img, .se-contents .se-responsive.se-video > *{max-width: 100%; min-width: 10px; height: auto !important;}.se-contents .se-responsive.se-video .se-youtube-wrapper{position: relative; padding-bottom: 56.25%; height: 0; overflow: hidden; display: block;}.se-contents .se-responsive.se-video .se-youtube-wrapper > iframe{width
 
1

Length

Max length1024
Median length1024
Mean length1024
Min length1024

Unique

Unique2 ?
Unique (%)0.6%

Sample

1st row<div class='se-contents' style='line-height: 1.2; font-family: Arial, Helvetica, sans-serif; font-size: 11pt;' data-document-padding-top='18' data-document-padding-left='23' data-document-padding-right='23'><style type='text/css' data-seresponsive='true'>.se-contents .se-scrollbox{overflow-x: auto; -ms-overflow-style: none; scrollbar-width: none;}.se-contents .se-scrollbox::-webkit-scrollbar{display: none;}.se-contents .se-responsive.se-image .se-caption{max-width: 100% !important;}.se-contents .se-responsive.se-image, .se-contents .se-responsive.se-video{max-width: 100%; height: auto !important;}.se-contents .se-responsive.se-image > img, .se-contents .se-responsive.se-video > *{max-width: 100%; min-width: 10px; height: auto !important;}.se-contents .se-responsive.se-video .se-youtube-wrapper{position: relative; padding-bottom: 56.25%; height: 0; overflow: hidden; display: block;}.se-contents .se-responsive.se-video .se-youtube-wrapper > iframe{width: 100% !important; height: 100% !important; position: absol
2nd row<div class='se-contents' style='line-height: 1.2; font-family: Arial, Helvetica, sans-serif; font-size: 11pt;' data-document-padding-right='23' data-document-padding-left='23' data-document-padding-top='18'><style type='text/css' data-seresponsive='true'>.se-contents .se-scrollbox{overflow-x: auto; -ms-overflow-style: none; scrollbar-width: none;}.se-contents .se-scrollbox::-webkit-scrollbar{display: none;}.se-contents .se-responsive.se-image .se-caption{max-width: 100% !important;}.se-contents .se-responsive.se-image, .se-contents .se-responsive.se-video{max-width: 100%; height: auto !important;}.se-contents .se-responsive.se-image > img, .se-contents .se-responsive.se-video > *{max-width: 100%; min-width: 10px; height: auto !important;}.se-contents .se-responsive.se-video .se-youtube-wrapper{position: relative; padding-bottom: 56.25%; height: 0; overflow: hidden; display: block;}.se-contents .se-responsive.se-video .se-youtube-wrapper > iframe{width: 100% !important; height: 100% !important; position: absol
3rd row<div class='se-contents' style='line-height: 1.2; font-family: Arial, Helvetica, sans-serif; font-size: 11pt;' data-document-padding-top='18' data-document-padding-left='23' data-document-padding-right='23'><style type='text/css' data-seresponsive='true'>.se-contents .se-scrollbox{overflow-x: auto; -ms-overflow-style: none; scrollbar-width: none;}.se-contents .se-scrollbox::-webkit-scrollbar{display: none;}.se-contents .se-responsive.se-image .se-caption{max-width: 100% !important;}.se-contents .se-responsive.se-image, .se-contents .se-responsive.se-video{max-width: 100%; height: auto !important;}.se-contents .se-responsive.se-image > img, .se-contents .se-responsive.se-video > *{max-width: 100%; min-width: 10px; height: auto !important;}.se-contents .se-responsive.se-video .se-youtube-wrapper{position: relative; padding-bottom: 56.25%; height: 0; overflow: hidden; display: block;}.se-contents .se-responsive.se-video .se-youtube-wrapper > iframe{width: 100% !important; height: 100% !important; position: absol
4th row<div class='se-contents' style='line-height: 1.2; font-family: Arial, Helvetica, sans-serif; font-size: 11pt;' data-document-padding-top='18' data-document-padding-left='23' data-document-padding-right='23'><style type='text/css' data-seresponsive='true'>.se-contents .se-scrollbox{overflow-x: auto; -ms-overflow-style: none; scrollbar-width: none;}.se-contents .se-scrollbox::-webkit-scrollbar{display: none;}.se-contents .se-responsive.se-image .se-caption{max-width: 100% !important;}.se-contents .se-responsive.se-image, .se-contents .se-responsive.se-video{max-width: 100%; height: auto !important;}.se-contents .se-responsive.se-image > img, .se-contents .se-responsive.se-video > *{max-width: 100%; min-width: 10px; height: auto !important;}.se-contents .se-responsive.se-video .se-youtube-wrapper{position: relative; padding-bottom: 56.25%; height: 0; overflow: hidden; display: block;}.se-contents .se-responsive.se-video .se-youtube-wrapper > iframe{width: 100% !important; height: 100% !important; position: absol
5th row<div class='se-contents' style='line-height: 1.2; font-family: Arial, Helvetica, sans-serif; font-size: 11pt;' data-document-padding-right='23' data-document-padding-left='23' data-document-padding-top='18'><style type='text/css' data-seresponsive='true'>.se-contents .se-scrollbox{overflow-x: auto; -ms-overflow-style: none; scrollbar-width: none;}.se-contents .se-scrollbox::-webkit-scrollbar{display: none;}.se-contents .se-responsive.se-image .se-caption{max-width: 100% !important;}.se-contents .se-responsive.se-image, .se-contents .se-responsive.se-video{max-width: 100%; height: auto !important;}.se-contents .se-responsive.se-image > img, .se-contents .se-responsive.se-video > *{max-width: 100%; min-width: 10px; height: auto !important;}.se-contents .se-responsive.se-video .se-youtube-wrapper{position: relative; padding-bottom: 56.25%; height: 0; overflow: hidden; display: block;}.se-contents .se-responsive.se-video .se-youtube-wrapper > iframe{width: 100% !important; height: 100% !important; position: absol

Common Values

ValueCountFrequency (%)
<div class='se-contents' style='line-height: 1.2; font-family: Arial, Helvetica, sans-serif; font-size: 11pt;' data-document-padding-top='18' data-document-padding-left='23' data-document-padding-right='23'><style type='text/css' data-seresponsive='true'>.se-contents .se-scrollbox{overflow-x: auto; -ms-overflow-style: none; scrollbar-width: none;}.se-contents .se-scrollbox::-webkit-scrollbar{display: none;}.se-contents .se-responsive.se-image .se-caption{max-width: 100% !important;}.se-contents .se-responsive.se-image, .se-contents .se-responsive.se-video{max-width: 100%; height: auto !important;}.se-contents .se-responsive.se-image > img, .se-contents .se-responsive.se-video > *{max-width: 100%; min-width: 10px; height: auto !important;}.se-contents .se-responsive.se-video .se-youtube-wrapper{position: relative; padding-bottom: 56.25%; height: 0; overflow: hidden; display: block;}.se-contents .se-responsive.se-video .se-youtube-wrapper > iframe{width: 100% !important; height: 100% !important; position: absol 203
63.0%
<div class='se-contents' style='line-height: 1.2; font-family: Arial, Helvetica, sans-serif; font-size: 11pt;' data-document-padding-right='23' data-document-padding-left='23' data-document-padding-top='18'><style type='text/css' data-seresponsive='true'>.se-contents .se-scrollbox{overflow-x: auto; -ms-overflow-style: none; scrollbar-width: none;}.se-contents .se-scrollbox::-webkit-scrollbar{display: none;}.se-contents .se-responsive.se-image .se-caption{max-width: 100% !important;}.se-contents .se-responsive.se-image, .se-contents .se-responsive.se-video{max-width: 100%; height: auto !important;}.se-contents .se-responsive.se-image > img, .se-contents .se-responsive.se-video > *{max-width: 100%; min-width: 10px; height: auto !important;}.se-contents .se-responsive.se-video .se-youtube-wrapper{position: relative; padding-bottom: 56.25%; height: 0; overflow: hidden; display: block;}.se-contents .se-responsive.se-video .se-youtube-wrapper > iframe{width: 100% !important; height: 100% !important; position: absol 110
34.2%
<div class='se-contents' style='font-family: Arial, Helvetica, sans-serif; font-size: 11pt; line-height: 1.2;' data-document-padding-top='18' data-document-padding-left='23' data-document-padding-right='23'><style type='text/css' data-seresponsive='true'>.se-contents .se-scrollbox{overflow-x: auto; -ms-overflow-style: none; scrollbar-width: none;}.se-contents .se-scrollbox::-webkit-scrollbar{display: none;}.se-contents .se-responsive.se-image .se-caption{max-width: 100% !important;}.se-contents .se-responsive.se-image, .se-contents .se-responsive.se-video{max-width: 100%; height: auto !important;}.se-contents .se-responsive.se-image > img, .se-contents .se-responsive.se-video > *{max-width: 100%; min-width: 10px; height: auto !important;}.se-contents .se-responsive.se-video .se-youtube-wrapper{position: relative; padding-bottom: 56.25%; height: 0; overflow: hidden; display: block;}.se-contents .se-responsive.se-video .se-youtube-wrapper > iframe{width: 100% !important; height: 100% !important; position: absol 7
 
2.2%
<div class='se-contents' style='line-height: 1.2; font-family: Arial, Helvetica, sans-serif; font-size: 11pt;' data-document-padding-top='48' data-document-padding-left='68.02666666666667' data-document-padding-right='68.02666666666667' data-document-width='793.7066666666666'><style type='text/css' data-seresponsive='true'>.se-contents .se-scrollbox{overflow-x: auto; -ms-overflow-style: none; scrollbar-width: none;}.se-contents .se-scrollbox::-webkit-scrollbar{display: none;}.se-contents .se-responsive.se-image .se-caption{max-width: 100% !important;}.se-contents .se-responsive.se-image, .se-contents .se-responsive.se-video{max-width: 100%; height: auto !important;}.se-contents .se-responsive.se-image > img, .se-contents .se-responsive.se-video > *{max-width: 100%; min-width: 10px; height: auto !important;}.se-contents .se-responsive.se-video .se-youtube-wrapper{position: relative; padding-bottom: 56.25%; height: 0; overflow: hidden; display: block;}.se-contents .se-responsive.se-video .se-youtube-wrapper > i 1
 
0.3%
<div class='se-contents' style='line-height: 1.2; font-family: Arial, Helvetica, sans-serif; font-size: 11pt;' data-document-padding-top='75.58666666666666' data-document-padding-left='71.8' data-document-padding-right='71.8' data-document-width='793.7066666666666'><style type='text/css' data-seresponsive='true'>.se-contents .se-scrollbox{overflow-x: auto; -ms-overflow-style: none; scrollbar-width: none;}.se-contents .se-scrollbox::-webkit-scrollbar{display: none;}.se-contents .se-responsive.se-image .se-caption{max-width: 100% !important;}.se-contents .se-responsive.se-image, .se-contents .se-responsive.se-video{max-width: 100%; height: auto !important;}.se-contents .se-responsive.se-image > img, .se-contents .se-responsive.se-video > *{max-width: 100%; min-width: 10px; height: auto !important;}.se-contents .se-responsive.se-video .se-youtube-wrapper{position: relative; padding-bottom: 56.25%; height: 0; overflow: hidden; display: block;}.se-contents .se-responsive.se-video .se-youtube-wrapper > iframe{width 1
 
0.3%

Length

2024-05-04T00:54:00.669369image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-04T00:54:00.998099image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
100 1606
 
7.2%
height 1286
 
5.8%
important;}.se-contents 966
 
4.4%
se-responsive.se-image 966
 
4.4%
966
 
4.4%
se-responsive.se-video 966
 
4.4%
auto 966
 
4.4%
none;}.se-contents 644
 
2.9%
se-contents 644
 
2.9%
important 640
 
2.9%
Other values (51) 12556
56.5%

등록일시
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct322
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.0229458 × 1013
Minimum2.0220428 × 1013
Maximum2.0240503 × 1013
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.0 KiB
2024-05-04T00:54:01.927279image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2.0220428 × 1013
5-th percentile2.0220615 × 1013
Q12.0221028 × 1013
median2.0230414 × 1013
Q32.0231203 × 1013
95-th percentile2.0240416 × 1013
Maximum2.0240503 × 1013
Range2.0075021 × 1010
Interquartile range (IQR)1.0175306 × 1010

Descriptive statistics

Standard deviation7.1430429 × 109
Coefficient of variation (CV)0.00035310106
Kurtosis-1.1363368
Mean2.0229458 × 1013
Median Absolute Deviation (MAD)9.3050216 × 109
Skewness0.18066632
Sum6.5138854 × 1015
Variance5.1023063 × 1019
MonotonicityStrictly decreasing
2024-05-04T00:54:02.307164image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20240503171333 1
 
0.3%
20221026122211 1
 
0.3%
20221213093003 1
 
0.3%
20221213104454 1
 
0.3%
20221216094337 1
 
0.3%
20221221173832 1
 
0.3%
20221226093616 1
 
0.3%
20221229080423 1
 
0.3%
20221230172719 1
 
0.3%
20230105091027 1
 
0.3%
Other values (312) 312
96.9%
ValueCountFrequency (%)
20220428150123 1
0.3%
20220502094510 1
0.3%
20220502133027 1
0.3%
20220506144555 1
0.3%
20220509083331 1
0.3%
20220509103440 1
0.3%
20220512141005 1
0.3%
20220512163927 1
0.3%
20220512164034 1
0.3%
20220516104724 1
0.3%
ValueCountFrequency (%)
20240503171333 1
0.3%
20240503151220 1
0.3%
20240502094747 1
0.3%
20240429165630 1
0.3%
20240428192332 1
0.3%
20240428174222 1
0.3%
20240425132849 1
0.3%
20240425112151 1
0.3%
20240424090347 1
0.3%
20240422132613 1
0.3%

작성부서
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing322
Missing (%)100.0%
Memory size3.0 KiB

첨부파일갯수
Real number (ℝ)

ZEROS 

Distinct7
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.3167702
Minimum0
Maximum6
Zeros112
Zeros (%)34.8%
Negative0
Negative (%)0.0%
Memory size3.0 KiB
2024-05-04T00:54:02.532880image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q32
95-th percentile6
Maximum6
Range6
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.6018772
Coefficient of variation (CV)1.21652
Kurtosis2.2340501
Mean1.3167702
Median Absolute Deviation (MAD)1
Skewness1.6831248
Sum424
Variance2.5660107
MonotonicityNot monotonic
2024-05-04T00:54:02.731044image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
1 122
37.9%
0 112
34.8%
2 40
 
12.4%
6 18
 
5.6%
3 13
 
4.0%
4 10
 
3.1%
5 7
 
2.2%
ValueCountFrequency (%)
0 112
34.8%
1 122
37.9%
2 40
 
12.4%
3 13
 
4.0%
4 10
 
3.1%
5 7
 
2.2%
6 18
 
5.6%
ValueCountFrequency (%)
6 18
 
5.6%
5 7
 
2.2%
4 10
 
3.1%
3 13
 
4.0%
2 40
 
12.4%
1 122
37.9%
0 112
34.8%

첨부파일이름
Text

MISSING 

Distinct194
Distinct (%)92.4%
Missing112
Missing (%)34.8%
Memory size2.6 KiB
2024-05-04T00:54:03.147635image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length196
Median length92
Mean length50.77619
Min length7

Characters and Unicode

Total characters10663
Distinct characters394
Distinct categories11 ?
Distinct scripts3 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique184 ?
Unique (%)87.6%

Sample

1st row2024.4._관악구_연령별_인구현황(0-5세현황,거주자).xlsx|2024.4._관악구_연령별_인구현황(1세현황,거주자).xlsx|2024.4._관악구_연령별_인구현황(65세이상,거주자).xlsx|2024.4._관악구_인구_및_세대현황.xlsx|2024.4._서울시_인구_및_세대현황.xlsx|2024.4._연령별_단독세대인구현황.xlsx
2nd row사업계획서(국인).hwpx
3rd row관악청년청_청년도전지원사업_중장기_홍보물_a4.jpg|관악청년청_청년도전지원사업_중장기_참여자_모집_1.jpg|관악청년청_청년도전지원사업_중장기_참여자_모집_2.jpg|관악청년청_청년도전지원사업_중장기_참여자_모집_3.jpg
4th row2024_관악봄축제_「HAPPY_FESTIVAL」_포스터_(1).pdf
5th row사업계획서(아트로_톡톡).hwpx
ValueCountFrequency (%)
★관악구_아파트_가격_동향.pdf|★관악구_오피스텔_가격_동향.pdf 7
 
3.3%
평가결과_공개.pdf 3
 
1.4%
성과평가결과(게시용).hwpx 2
 
1.0%
공고문.hwp 2
 
1.0%
평가결과_공개.hwp 2
 
1.0%
민간위탁_종합성과평가_결과(게시용).hwp 2
 
1.0%
덜어먹기_지원사업_참여_신청_안내문.hwp|(서식)덜어먹기_사업_참여_신청서_및_개인정보제공동의서.hwp 2
 
1.0%
평가위원회_홈페이지_결과_공개.pdf 2
 
1.0%
모집공고문.pdf|교육신청서.hwp 2
 
1.0%
평가결과_공개서.pdf 2
 
1.0%
Other values (184) 184
87.6%
2024-05-04T00:54:04.152743image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
_ 1120
 
10.5%
. 731
 
6.9%
2 532
 
5.0%
x 331
 
3.1%
구 299
 
2.8%
p 268
 
2.5%
0 264
 
2.5%
| 214
 
2.0%
현 209
 
2.0%
황 207
 
1.9%
Other values (384) 6488
60.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 5231
49.1%
Lowercase Letter 1463
 
13.7%
Decimal Number 1300
 
12.2%
Connector Punctuation 1120
 
10.5%
Other Punctuation 817
 
7.7%
Math Symbol 215
 
2.0%
Close Punctuation 203
 
1.9%
Open Punctuation 194
 
1.8%
Uppercase Letter 59
 
0.6%
Dash Punctuation 42
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 299
 
5.7%
현 209
 
4.0%
황 207
 
4.0%
인 173
 
3.3%
관 164
 
3.1%
악 152
 
2.9%
세 149
 
2.8%
서 134
 
2.6%
자 105
 
2.0%
연 103
 
2.0%
Other values (317) 3536
67.6%
Uppercase Letter
ValueCountFrequency (%)
P 9
15.3%
G 7
11.9%
S 7
11.9%
N 6
10.2%
A 4
 
6.8%
R 4
 
6.8%
Q 3
 
5.1%
H 3
 
5.1%
E 2
 
3.4%
I 2
 
3.4%
Other values (11) 12
20.3%
Lowercase Letter
ValueCountFrequency (%)
x 331
22.6%
p 268
18.3%
s 155
10.6%
l 153
10.5%
h 107
 
7.3%
w 107
 
7.3%
d 93
 
6.4%
f 92
 
6.3%
g 58
 
4.0%
j 41
 
2.8%
Other values (9) 58
 
4.0%
Decimal Number
ValueCountFrequency (%)
2 532
40.9%
0 264
20.3%
3 141
 
10.8%
1 127
 
9.8%
4 75
 
5.8%
5 74
 
5.7%
6 43
 
3.3%
9 16
 
1.2%
8 14
 
1.1%
7 14
 
1.1%
Other Punctuation
ValueCountFrequency (%)
. 731
89.5%
, 78
 
9.5%
， 3
 
0.4%
; 2
 
0.2%
& 2
 
0.2%
? 1
 
0.1%
Close Punctuation
ValueCountFrequency (%)
) 191
94.1%
] 11
 
5.4%
」 1
 
0.5%
Open Punctuation
ValueCountFrequency (%)
( 182
93.8%
[ 11
 
5.7%
「 1
 
0.5%
Math Symbol
ValueCountFrequency (%)
| 214
99.5%
~ 1
 
0.5%
Connector Punctuation
ValueCountFrequency (%)
_ 1120
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 42
100.0%
Other Symbol
ValueCountFrequency (%)
★ 19
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 5231
49.1%
Common 3910
36.7%
Latin 1522
 
14.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 299
 
5.7%
현 209
 
4.0%
황 207
 
4.0%
인 173
 
3.3%
관 164
 
3.1%
악 152
 
2.9%
세 149
 
2.8%
서 134
 
2.6%
자 105
 
2.0%
연 103
 
2.0%
Other values (317) 3536
67.6%
Latin
ValueCountFrequency (%)
x 331
21.7%
p 268
17.6%
s 155
10.2%
l 153
10.1%
h 107
 
7.0%
w 107
 
7.0%
d 93
 
6.1%
f 92
 
6.0%
g 58
 
3.8%
j 41
 
2.7%
Other values (30) 117
 
7.7%
Common
ValueCountFrequency (%)
_ 1120
28.6%
. 731
18.7%
2 532
13.6%
0 264
 
6.8%
| 214
 
5.5%
) 191
 
4.9%
( 182
 
4.7%
3 141
 
3.6%
1 127
 
3.2%
, 78
 
2.0%
Other values (17) 330
 
8.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 5408
50.7%
Hangul 5231
49.1%
Misc Symbols 19
 
0.2%
None 5
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
_ 1120
20.7%
. 731
13.5%
2 532
 
9.8%
x 331
 
6.1%
p 268
 
5.0%
0 264
 
4.9%
| 214
 
4.0%
) 191
 
3.5%
( 182
 
3.4%
s 155
 
2.9%
Other values (53) 1420
26.3%
Hangul
ValueCountFrequency (%)
구 299
 
5.7%
현 209
 
4.0%
황 207
 
4.0%
인 173
 
3.3%
관 164
 
3.1%
악 152
 
2.9%
세 149
 
2.8%
서 134
 
2.6%
자 105
 
2.0%
연 103
 
2.0%
Other values (317) 3536
67.6%
Misc Symbols
ValueCountFrequency (%)
★ 19
100.0%
None
ValueCountFrequency (%)
， 3
60.0%
」 1
 
20.0%
「 1
 
20.0%

첨부파일주소
Text

MISSING 

Distinct210
Distinct (%)100.0%
Missing112
Missing (%)34.8%
Memory size2.6 KiB
2024-05-04T00:54:04.662948image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length759
Median length695.5
Mean length252.24762
Min length123

Characters and Unicode

Total characters52972
Distinct characters48
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

Unique210 ?
Unique (%)100.0%

Sample

1st rowhttp://www.gwanak.go.kr/common/board/Download.do?bcIdx=158219&cbIdx=239&streFileNm=533308e2-d882-42b8-9d0a-17d79c275c18.xlsx | http://www.gwanak.go.kr/common/board/Download.do?bcIdx=158219&cbIdx=239&streFileNm=0fd99e3e-b18e-4d5f-9944-3be23652be35.xlsx | http://www.gwanak.go.kr/common/board/Download.do?bcIdx=158219&cbIdx=239&streFileNm=50eca67b-50e9-4734-a450-738de0f7755c.xlsx | http://www.gwanak.go.kr/common/board/Download.do?bcIdx=158219&cbIdx=239&streFileNm=17cc1486-7b57-4c37-82f8-af1da1eba635.xlsx | http://www.gwanak.go.kr/common/board/Download.do?bcIdx=158219&cbIdx=239&streFileNm=e4e96fd1-01fa-4e7e-8ec9-c451287ca6cc.xlsx | http://www.gwanak.go.kr/common/board/Download.do?bcIdx=158219&cbIdx=239&streFileNm=92bded96-1175-4cd7-ba9c-198ec2148509.xlsx
2nd rowhttp://www.gwanak.go.kr/common/board/Download.do?bcIdx=158147&cbIdx=239&streFileNm=48fc73bf-b975-4320-8d5f-13c80d9c8ab1.hwpx
3rd rowhttp://www.gwanak.go.kr/common/board/Download.do?bcIdx=157675&cbIdx=239&streFileNm=6d1084d8-ca86-4e4e-8ab8-051693c4c40e.jpg | http://www.gwanak.go.kr/common/board/Download.do?bcIdx=157675&cbIdx=239&streFileNm=3f5655fa-64c1-41b6-bf49-fb86500e3502.jpg | http://www.gwanak.go.kr/common/board/Download.do?bcIdx=157675&cbIdx=239&streFileNm=1a9e9cad-5e76-4033-8899-9b5d4222b47e.jpg | http://www.gwanak.go.kr/common/board/Download.do?bcIdx=157675&cbIdx=239&streFileNm=02158acc-c9ca-4168-877f-66b5eb00bde2.jpg
4th rowhttp://www.gwanak.go.kr/common/board/Download.do?bcIdx=156790&cbIdx=239&streFileNm=2a1980e3-3dae-4d83-81d5-d05020a08560.pdf
5th rowhttp://www.gwanak.go.kr/common/board/Download.do?bcIdx=156743&cbIdx=239&streFileNm=4ac674e2-81e5-4eb7-a6aa-bbf4aac58e09.hwpx
ValueCountFrequency (%)
214
33.5%
http://www.gwanak.go.kr/common/board/download.do?bcidx=142773&cbidx=239&strefilenm=b94ef789-5824-4172-b4b2-e99379f45d50.hwpx 1
 
0.2%
http://www.gwanak.go.kr/common/board/download.do?bcidx=136095&cbidx=239&strefilenm=b0c6306c-680c-4c4b-8220-e692716b95f1.xlsx 1
 
0.2%
http://www.gwanak.go.kr/common/board/download.do?bcidx=135472&cbidx=239&strefilenm=525d8019-412d-4b1c-bc4e-22927050cf38.xlsx 1
 
0.2%
http://www.gwanak.go.kr/common/board/download.do?bcidx=135472&cbidx=239&strefilenm=15f4466d-82b2-41bf-9a23-c894e9d6f4ee.xlsx 1
 
0.2%
http://www.gwanak.go.kr/common/board/download.do?bcidx=135472&cbidx=239&strefilenm=253b41d8-673a-4f8d-93bd-3462b3649107.xlsx 1
 
0.2%
http://www.gwanak.go.kr/common/board/download.do?bcidx=135472&cbidx=239&strefilenm=da75b90e-da65-4dbd-a126-320bb21d32f2.xlsx 1
 
0.2%
http://www.gwanak.go.kr/common/board/download.do?bcidx=135472&cbidx=239&strefilenm=02512174-77b1-4db2-8796-e11da2fddab6.xlsx 1
 
0.2%
http://www.gwanak.go.kr/common/board/download.do?bcidx=135619&cbidx=239&strefilenm=4a3d7674-a29d-4bd7-a25f-46bee8bdb7c9.pdf 1
 
0.2%
http://www.gwanak.go.kr/common/board/download.do?bcidx=135726&cbidx=239&strefilenm=6d653772-b6ce-4232-95a0-d10ff6e950a1.hwp 1
 
0.2%
Other values (415) 415
65.0%
2024-05-04T00:54:05.426305image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
d 2982
 
5.6%
o 2968
 
5.6%
a 2583
 
4.9%
w 2227
 
4.2%
b 2136
 
4.0%
/ 2120
 
4.0%
. 2120
 
4.0%
c 2068
 
3.9%
- 1696
 
3.2%
3 1624
 
3.1%
Other values (38) 30448
57.5%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 28828
54.4%
Decimal Number 12463
23.5%
Other Punctuation 5936
 
11.2%
Uppercase Letter 2135
 
4.0%
Dash Punctuation 1696
 
3.2%
Math Symbol 1486
 
2.8%
Space Separator 428
 
0.8%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
d 2982
 
10.3%
o 2968
 
10.3%
a 2583
 
9.0%
w 2227
 
7.7%
b 2136
 
7.4%
c 2068
 
7.2%
e 1623
 
5.6%
n 1289
 
4.5%
m 1274
 
4.4%
r 1272
 
4.4%
Other values (12) 8406
29.2%
Decimal Number
ValueCountFrequency (%)
3 1624
13.0%
9 1490
12.0%
4 1470
11.8%
2 1450
11.6%
1 1449
11.6%
8 1077
8.6%
5 1036
8.3%
6 967
7.8%
7 963
7.7%
0 937
7.5%
Uppercase Letter
ValueCountFrequency (%)
I 848
39.7%
N 428
20.0%
F 424
19.9%
D 424
19.9%
P 5
 
0.2%
G 5
 
0.2%
J 1
 
< 0.1%
Other Punctuation
ValueCountFrequency (%)
/ 2120
35.7%
. 2120
35.7%
& 848
 
14.3%
? 424
 
7.1%
: 424
 
7.1%
Math Symbol
ValueCountFrequency (%)
= 1272
85.6%
| 214
 
14.4%
Dash Punctuation
ValueCountFrequency (%)
- 1696
100.0%
Space Separator
ValueCountFrequency (%)
428
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 30963
58.5%
Common 22009
41.5%

Most frequent character per script

Latin
ValueCountFrequency (%)
d 2982
 
9.6%
o 2968
 
9.6%
a 2583
 
8.3%
w 2227
 
7.2%
b 2136
 
6.9%
c 2068
 
6.7%
e 1623
 
5.2%
n 1289
 
4.2%
m 1274
 
4.1%
r 1272
 
4.1%
Other values (19) 10541
34.0%
Common
ValueCountFrequency (%)
/ 2120
 
9.6%
. 2120
 
9.6%
- 1696
 
7.7%
3 1624
 
7.4%
9 1490
 
6.8%
4 1470
 
6.7%
2 1450
 
6.6%
1 1449
 
6.6%
= 1272
 
5.8%
8 1077
 
4.9%
Other values (9) 6241
28.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 52972
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
d 2982
 
5.6%
o 2968
 
5.6%
a 2583
 
4.9%
w 2227
 
4.2%
b 2136
 
4.0%
/ 2120
 
4.0%
. 2120
 
4.0%
c 2068
 
3.9%
- 1696
 
3.2%
3 1624
 
3.1%
Other values (38) 30448
57.5%

상세 내용 보기 URL
Text

UNIQUE 

Distinct322
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size2.6 KiB
2024-05-04T00:54:06.116035image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length90
Median length90
Mean length90
Min length90

Characters and Unicode

Total characters28980
Distinct characters37
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

Unique322 ?
Unique (%)100.0%

Sample

1st rowhttp://www.gwanak.go.kr/site/gwanak/ex/bbs/View.do?cbIdx=239&bcIdx=158271&parentSeq=158271
2nd rowhttp://www.gwanak.go.kr/site/gwanak/ex/bbs/View.do?cbIdx=239&bcIdx=158263&parentSeq=158263
3rd rowhttp://www.gwanak.go.kr/site/gwanak/ex/bbs/View.do?cbIdx=239&bcIdx=158219&parentSeq=158219
4th rowhttp://www.gwanak.go.kr/site/gwanak/ex/bbs/View.do?cbIdx=239&bcIdx=158147&parentSeq=158147
5th rowhttp://www.gwanak.go.kr/site/gwanak/ex/bbs/View.do?cbIdx=239&bcIdx=158133&parentSeq=158133
ValueCountFrequency (%)
http://www.gwanak.go.kr/site/gwanak/ex/bbs/view.do?cbidx=239&bcidx=158271&parentseq=158271 1
 
0.3%
http://www.gwanak.go.kr/site/gwanak/ex/bbs/view.do?cbidx=239&bcidx=134334&parentseq=134334 1
 
0.3%
http://www.gwanak.go.kr/site/gwanak/ex/bbs/view.do?cbidx=239&bcidx=135619&parentseq=135619 1
 
0.3%
http://www.gwanak.go.kr/site/gwanak/ex/bbs/view.do?cbidx=239&bcidx=135726&parentseq=135726 1
 
0.3%
http://www.gwanak.go.kr/site/gwanak/ex/bbs/view.do?cbidx=239&bcidx=135768&parentseq=135768 1
 
0.3%
http://www.gwanak.go.kr/site/gwanak/ex/bbs/view.do?cbidx=239&bcidx=135878&parentseq=135878 1
 
0.3%
http://www.gwanak.go.kr/site/gwanak/ex/bbs/view.do?cbidx=239&bcidx=135992&parentseq=135992 1
 
0.3%
http://www.gwanak.go.kr/site/gwanak/ex/bbs/view.do?cbidx=239&bcidx=136095&parentseq=136095 1
 
0.3%
http://www.gwanak.go.kr/site/gwanak/ex/bbs/view.do?cbidx=239&bcidx=135492&parentseq=135492 1
 
0.3%
http://www.gwanak.go.kr/site/gwanak/ex/bbs/view.do?cbidx=239&bcidx=136122&parentseq=136122 1
 
0.3%
Other values (312) 312
96.9%
2024-05-04T00:54:07.141701image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
/ 2254
 
7.8%
w 1932
 
6.7%
e 1610
 
5.6%
a 1610
 
5.6%
. 1288
 
4.4%
t 1288
 
4.4%
b 1288
 
4.4%
x 966
 
3.3%
= 966
 
3.3%
d 966
 
3.3%
Other values (27) 14812
51.1%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 17066
58.9%
Other Punctuation 4830
 
16.7%
Decimal Number 4830
 
16.7%
Uppercase Letter 1288
 
4.4%
Math Symbol 966
 
3.3%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
w 1932
11.3%
e 1610
 
9.4%
a 1610
 
9.4%
t 1288
 
7.5%
b 1288
 
7.5%
x 966
 
5.7%
d 966
 
5.7%
g 966
 
5.7%
n 966
 
5.7%
k 966
 
5.7%
Other values (8) 4508
26.4%
Decimal Number
ValueCountFrequency (%)
3 936
19.4%
1 918
19.0%
2 642
13.3%
9 560
11.6%
4 460
9.5%
5 370
 
7.7%
6 268
 
5.5%
7 240
 
5.0%
8 220
 
4.6%
0 216
 
4.5%
Other Punctuation
ValueCountFrequency (%)
/ 2254
46.7%
. 1288
26.7%
& 644
 
13.3%
? 322
 
6.7%
: 322
 
6.7%
Uppercase Letter
ValueCountFrequency (%)
I 644
50.0%
S 322
25.0%
V 322
25.0%
Math Symbol
ValueCountFrequency (%)
= 966
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 18354
63.3%
Common 10626
36.7%

Most frequent character per script

Latin
ValueCountFrequency (%)
w 1932
 
10.5%
e 1610
 
8.8%
a 1610
 
8.8%
t 1288
 
7.0%
b 1288
 
7.0%
x 966
 
5.3%
d 966
 
5.3%
g 966
 
5.3%
n 966
 
5.3%
k 966
 
5.3%
Other values (11) 5796
31.6%
Common
ValueCountFrequency (%)
/ 2254
21.2%
. 1288
12.1%
= 966
9.1%
3 936
8.8%
1 918
8.6%
& 644
 
6.1%
2 642
 
6.0%
9 560
 
5.3%
4 460
 
4.3%
5 370
 
3.5%
Other values (6) 1588
14.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 28980
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
/ 2254
 
7.8%
w 1932
 
6.7%
e 1610
 
5.6%
a 1610
 
5.6%
. 1288
 
4.4%
t 1288
 
4.4%
b 1288
 
4.4%
x 966
 
3.3%
= 966
 
3.3%
d 966
 
3.3%
Other values (27) 14812
51.1%

Interactions

2024-05-04T00:53:55.930424image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-04T00:53:54.223760image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-04T00:53:55.030612image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-04T00:53:56.334958image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-04T00:53:54.461913image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-04T00:53:55.303604image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-04T00:53:56.608233image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-04T00:53:54.769003image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-04T00:53:55.609143image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-05-04T00:54:07.409855image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
게시물번호내용등록일시첨부파일갯수
게시물번호1.0000.0000.9550.176
내용0.0001.0000.0000.000
등록일시0.9550.0001.0000.141
첨부파일갯수0.1760.0000.1411.000
2024-05-04T00:54:07.664180image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
게시물번호등록일시첨부파일갯수내용
게시물번호1.0001.000-0.0910.000
등록일시1.0001.000-0.0910.000
첨부파일갯수-0.091-0.0911.0000.000
내용0.0000.0000.0001.000

Missing values

2024-05-04T00:53:56.981223image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-05-04T00:53:57.439259image/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.
2024-05-04T00:53:57.752042image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

Sample

게시물번호제목내용등록일시작성부서첨부파일갯수첨부파일이름첨부파일주소상세 내용 보기 URL
0158271오존 주의보 해제 알림 [`24.5.3.(금) 17시]<div class='se-contents' style='line-height: 1.2; font-family: Arial, Helvetica, sans-serif; font-size: 11pt;' data-document-padding-top='18' data-document-padding-left='23' data-document-padding-right='23'><style type='text/css' data-seresponsive='true'>.se-contents .se-scrollbox{overflow-x: auto; -ms-overflow-style: none; scrollbar-width: none;}.se-contents .se-scrollbox::-webkit-scrollbar{display: none;}.se-contents .se-responsive.se-image .se-caption{max-width: 100% !important;}.se-contents .se-responsive.se-image, .se-contents .se-responsive.se-video{max-width: 100%; height: auto !important;}.se-contents .se-responsive.se-image > img, .se-contents .se-responsive.se-video > *{max-width: 100%; min-width: 10px; height: auto !important;}.se-contents .se-responsive.se-video .se-youtube-wrapper{position: relative; padding-bottom: 56.25%; height: 0; overflow: hidden; display: block;}.se-contents .se-responsive.se-video .se-youtube-wrapper > iframe{width: 100% !important; height: 100% !important; position: absol20240503171333<NA>0<NA><NA>http://www.gwanak.go.kr/site/gwanak/ex/bbs/View.do?cbIdx=239&bcIdx=158271&parentSeq=158271
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21582192024.4월 관악구 인구 및 세대 현황<div class='se-contents' style='line-height: 1.2; font-family: Arial, Helvetica, sans-serif; font-size: 11pt;' data-document-padding-top='18' data-document-padding-left='23' data-document-padding-right='23'><style type='text/css' data-seresponsive='true'>.se-contents .se-scrollbox{overflow-x: auto; -ms-overflow-style: none; scrollbar-width: none;}.se-contents .se-scrollbox::-webkit-scrollbar{display: none;}.se-contents .se-responsive.se-image .se-caption{max-width: 100% !important;}.se-contents .se-responsive.se-image, .se-contents .se-responsive.se-video{max-width: 100%; height: auto !important;}.se-contents .se-responsive.se-image > img, .se-contents .se-responsive.se-video > *{max-width: 100%; min-width: 10px; height: auto !important;}.se-contents .se-responsive.se-video .se-youtube-wrapper{position: relative; padding-bottom: 56.25%; height: 0; overflow: hidden; display: block;}.se-contents .se-responsive.se-video .se-youtube-wrapper > iframe{width: 100% !important; height: 100% !important; position: absol20240502094747<NA>62024.4._관악구_연령별_인구현황(0-5세현황,거주자).xlsx|2024.4._관악구_연령별_인구현황(1세현황,거주자).xlsx|2024.4._관악구_연령별_인구현황(65세이상,거주자).xlsx|2024.4._관악구_인구_및_세대현황.xlsx|2024.4._서울시_인구_및_세대현황.xlsx|2024.4._연령별_단독세대인구현황.xlsxhttp://www.gwanak.go.kr/common/board/Download.do?bcIdx=158219&cbIdx=239&streFileNm=533308e2-d882-42b8-9d0a-17d79c275c18.xlsx | http://www.gwanak.go.kr/common/board/Download.do?bcIdx=158219&cbIdx=239&streFileNm=0fd99e3e-b18e-4d5f-9944-3be23652be35.xlsx | http://www.gwanak.go.kr/common/board/Download.do?bcIdx=158219&cbIdx=239&streFileNm=50eca67b-50e9-4734-a450-738de0f7755c.xlsx | http://www.gwanak.go.kr/common/board/Download.do?bcIdx=158219&cbIdx=239&streFileNm=17cc1486-7b57-4c37-82f8-af1da1eba635.xlsx | http://www.gwanak.go.kr/common/board/Download.do?bcIdx=158219&cbIdx=239&streFileNm=e4e96fd1-01fa-4e7e-8ec9-c451287ca6cc.xlsx | http://www.gwanak.go.kr/common/board/Download.do?bcIdx=158219&cbIdx=239&streFileNm=92bded96-1175-4cd7-ba9c-198ec2148509.xlsxhttp://www.gwanak.go.kr/site/gwanak/ex/bbs/View.do?cbIdx=239&bcIdx=158219&parentSeq=158219
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