Overview

Dataset statistics

Number of variables9
Number of observations104
Missing cells137
Missing cells (%)14.6%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory7.6 KiB
Average record size in memory75.3 B

Variable types

Categorical4
Text3
Numeric2

Dataset

Description지방 공기업인 여수시도시관리공단 홈페이지에 대한 정보로 매년 방문자 수를 각각의 월로 나누어 나타낸 정보를 제공합니다.
Author여수시도시관리공단
URLhttps://www.data.go.kr/data/15112564/fileData.do

Alerts

홈페이지명 has constant value ""Constant
데이터기준일자 has constant value ""Constant
2월 is highly overall correlated with 총계 and 1 other fieldsHigh correlation
총계 is highly overall correlated with 2월 and 1 other fieldsHigh correlation
1차 게시판 is highly overall correlated with 2차 게시판High correlation
2차 게시판 is highly overall correlated with 2월 and 2 other fieldsHigh correlation
3차 게시판 has 35 (33.7%) missing valuesMissing
4차 게시판 has 84 (80.8%) missing valuesMissing
2월 has 9 (8.7%) missing valuesMissing
총계 has 9 (8.7%) missing valuesMissing

Reproduction

Analysis started2023-12-12 00:11:23.252561
Analysis finished2023-12-12 00:11:24.512171
Duration1.26 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

홈페이지명
Categorical

CONSTANT 

Distinct1
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size964.0 B
여수시도시관리공단
104 

Length

Max length9
Median length9
Mean length9
Min length9

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
여수시도시관리공단 104
100.0%

Length

2023-12-12T09:11:24.580415image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T09:11:24.686068image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
여수시도시관리공단 104
100.0%

홈페이지주소
Text

Distinct90
Distinct (%)86.5%
Missing0
Missing (%)0.0%
Memory size964.0 B
2023-12-12T09:11:24.930226image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length92
Median length81.5
Mean length64.086538
Min length35

Characters and Unicode

Total characters6665
Distinct characters36
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique87 ?
Unique (%)83.7%

Sample

1st rowhttps://www.yumcorp.or.kr/www/intro/greeting
2nd rowhttps://www.yumcorp.or.kr/www/intro/situation/history#target_cont
3rd rowhttps://www.yumcorp.or.kr/www/intro/situation/vision#target_cont
4th rowhttps://www.yumcorp.or.kr/www/intro/esg/esg_management/declaration
5th rowhttps://www.yumcorp.or.kr/www/intro/esg/esg_management/diagnosis
ValueCountFrequency (%)
https://www.yumcorp.or.kr/www/release_information 9
 
8.7%
https://www.clean.go.kr/menu.es?mid=a10202000000#target_cont 6
 
5.8%
https://www.yumcorp.or.kr/www/service/refuse_disposal/visit#target_cont 2
 
1.9%
https://www.open.go.kr/com/main/mainview.do#target_cont 1
 
1.0%
https://www.yumcorp.or.kr/www/notify/news_release#target_cont 1
 
1.0%
https://www.yumcorp.or.kr/www/notify/agreement#target_cont 1
 
1.0%
https://www.yumcorp.or.kr/www/notify/data#target_cont 1
 
1.0%
https://www.yumcorp.or.kr/www/notify/photo#target_cont 1
 
1.0%
https://www.yumcorp.or.kr/www/notify/articles#target_cont 1
 
1.0%
https://www.yumcorp.or.kr/www/notify/promote#target_cont 1
 
1.0%
Other values (80) 80
76.9%
2023-12-12T09:11:25.391761image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
t 655
 
9.8%
w 601
 
9.0%
/ 568
 
8.5%
r 530
 
8.0%
o 479
 
7.2%
e 368
 
5.5%
. 318
 
4.8%
n 302
 
4.5%
a 280
 
4.2%
c 271
 
4.1%
Other values (26) 2293
34.4%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 5357
80.4%
Other Punctuation 1073
 
16.1%
Connector Punctuation 161
 
2.4%
Decimal Number 66
 
1.0%
Math Symbol 7
 
0.1%
Uppercase Letter 1
 
< 0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
t 655
12.2%
w 601
11.2%
r 530
 
9.9%
o 479
 
8.9%
e 368
 
6.9%
n 302
 
5.6%
a 280
 
5.2%
c 271
 
5.1%
s 269
 
5.0%
p 257
 
4.8%
Other values (15) 1345
25.1%
Other Punctuation
ValueCountFrequency (%)
/ 568
52.9%
. 318
29.6%
: 104
 
9.7%
# 76
 
7.1%
? 7
 
0.7%
Decimal Number
ValueCountFrequency (%)
0 48
72.7%
2 12
 
18.2%
1 6
 
9.1%
Connector Punctuation
ValueCountFrequency (%)
_ 161
100.0%
Math Symbol
ValueCountFrequency (%)
= 7
100.0%
Uppercase Letter
ValueCountFrequency (%)
V 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 5358
80.4%
Common 1307
 
19.6%

Most frequent character per script

Latin
ValueCountFrequency (%)
t 655
12.2%
w 601
11.2%
r 530
 
9.9%
o 479
 
8.9%
e 368
 
6.9%
n 302
 
5.6%
a 280
 
5.2%
c 271
 
5.1%
s 269
 
5.0%
p 257
 
4.8%
Other values (16) 1346
25.1%
Common
ValueCountFrequency (%)
/ 568
43.5%
. 318
24.3%
_ 161
 
12.3%
: 104
 
8.0%
# 76
 
5.8%
0 48
 
3.7%
2 12
 
0.9%
= 7
 
0.5%
? 7
 
0.5%
1 6
 
0.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 6665
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
t 655
 
9.8%
w 601
 
9.0%
/ 568
 
8.5%
r 530
 
8.0%
o 479
 
7.2%
e 368
 
5.5%
. 318
 
4.8%
n 302
 
4.5%
a 280
 
4.2%
c 271
 
4.1%
Other values (26) 2293
34.4%

1차 게시판
Categorical

HIGH CORRELATION 

Distinct7
Distinct (%)6.7%
Missing0
Missing (%)0.0%
Memory size964.0 B
공단소개
29 
정보공개
22 
알림마당
16 
고객광장
13 
사업안내
11 
Other values (2)
13 

Length

Max length8
Median length4
Mean length4.3461538
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
공단소개 29
27.9%
정보공개 22
21.2%
알림마당 16
15.4%
고객광장 13
12.5%
사업안내 11
 
10.6%
부패·공익 신고 9
 
8.7%
열린경영 4
 
3.8%

Length

2023-12-12T09:11:25.568065image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T09:11:25.715068image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
공단소개 29
25.7%
정보공개 22
19.5%
알림마당 16
14.2%
고객광장 13
11.5%
사업안내 11
 
9.7%
부패·공익 9
 
8.0%
신고 9
 
8.0%
열린경영 4
 
3.5%

2차 게시판
Categorical

HIGH CORRELATION 

Distinct47
Distinct (%)45.2%
Missing0
Missing (%)0.0%
Memory size964.0 B
ESG 경영
21 
사전정보공표
9 
정보공개
8 
공공데이터 개방
 
5
고객중심경영
 
5
Other values (42)
56 

Length

Max length26
Median length20
Mean length6.8173077
Min length3

Unique

Unique35 ?
Unique (%)33.7%

Sample

1st row이사장인사말
2nd row일반현황
3rd row일반현황
4th rowESG 경영
5th rowESG 경영

Common Values

ValueCountFrequency (%)
ESG 경영 21
20.2%
사전정보공표 9
 
8.7%
정보공개 8
 
7.7%
공공데이터 개방 5
 
4.8%
고객중심경영 5
 
4.8%
고객의소리 5
 
4.8%
이용안내 4
 
3.8%
도시형 폐기물 종합처리시설 운영관리 3
 
2.9%
조직 및 업무안내 3
 
2.9%
고객참여방 2
 
1.9%
Other values (37) 39
37.5%

Length

2023-12-12T09:11:25.898869image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
esg 21
 
12.1%
경영 21
 
12.1%
사전정보공표 9
 
5.2%
정보공개 8
 
4.6%
공공데이터 5
 
2.9%
개방 5
 
2.9%
고객중심경영 5
 
2.9%
고객의소리 5
 
2.9%
및 5
 
2.9%
폐기물 4
 
2.3%
Other values (63) 85
49.1%

3차 게시판
Text

MISSING 

Distinct55
Distinct (%)79.7%
Missing35
Missing (%)33.7%
Memory size964.0 B
2023-12-12T09:11:26.214516image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length11
Mean length6.3043478
Min length2

Characters and Unicode

Total characters435
Distinct characters153
Distinct categories4 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique49 ?
Unique (%)71.0%

Sample

1st row설립목적 및 연혁
2nd row미션/비전
3rd rowESG경영
4th rowESG경영
5th rowESG경영
ValueCountFrequency (%)
재난안전 6
 
6.0%
윤리경영 5
 
5.0%
공공데이터 5
 
5.0%
esg경영 3
 
3.0%
환경 3
 
3.0%
안내 3
 
3.0%
개방 2
 
2.0%
민원 2
 
2.0%
경영 2
 
2.0%
가치 2
 
2.0%
Other values (65) 67
67.0%
2023-12-12T09:11:26.706756image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
35
 
8.0%
경 16
 
3.7%
영 15
 
3.4%
공 15
 
3.4%
안 13
 
3.0%
정 11
 
2.5%
이 10
 
2.3%
보 9
 
2.1%
전 8
 
1.8%
개 8
 
1.8%
Other values (143) 295
67.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 380
87.4%
Space Separator 35
 
8.0%
Uppercase Letter 12
 
2.8%
Other Punctuation 8
 
1.8%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
경 16
 
4.2%
영 15
 
3.9%
공 15
 
3.9%
안 13
 
3.4%
정 11
 
2.9%
이 10
 
2.6%
보 9
 
2.4%
전 8
 
2.1%
개 8
 
2.1%
리 8
 
2.1%
Other values (134) 267
70.3%
Uppercase Letter
ValueCountFrequency (%)
E 3
25.0%
S 3
25.0%
G 3
25.0%
C 2
16.7%
M 1
 
8.3%
Other Punctuation
ValueCountFrequency (%)
· 6
75.0%
/ 1
 
12.5%
, 1
 
12.5%
Space Separator
ValueCountFrequency (%)
35
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 380
87.4%
Common 43
 
9.9%
Latin 12
 
2.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
경 16
 
4.2%
영 15
 
3.9%
공 15
 
3.9%
안 13
 
3.4%
정 11
 
2.9%
이 10
 
2.6%
보 9
 
2.4%
전 8
 
2.1%
개 8
 
2.1%
리 8
 
2.1%
Other values (134) 267
70.3%
Latin
ValueCountFrequency (%)
E 3
25.0%
S 3
25.0%
G 3
25.0%
C 2
16.7%
M 1
 
8.3%
Common
ValueCountFrequency (%)
35
81.4%
· 6
 
14.0%
/ 1
 
2.3%
, 1
 
2.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 380
87.4%
ASCII 49
 
11.3%
None 6
 
1.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
35
71.4%
E 3
 
6.1%
S 3
 
6.1%
G 3
 
6.1%
C 2
 
4.1%
M 1
 
2.0%
/ 1
 
2.0%
, 1
 
2.0%
Hangul
ValueCountFrequency (%)
경 16
 
4.2%
영 15
 
3.9%
공 15
 
3.9%
안 13
 
3.4%
정 11
 
2.9%
이 10
 
2.6%
보 9
 
2.4%
전 8
 
2.1%
개 8
 
2.1%
리 8
 
2.1%
Other values (134) 267
70.3%
None
ValueCountFrequency (%)
· 6
100.0%

4차 게시판
Text

MISSING 

Distinct20
Distinct (%)100.0%
Missing84
Missing (%)80.8%
Memory size964.0 B
2023-12-12T09:11:26.968379image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length22
Median length18.5
Mean length12.95
Min length6

Characters and Unicode

Total characters259
Distinct characters89
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique20 ?
Unique (%)100.0%

Sample

1st rowESG선언문
2nd rowESG 경영추친체계 및 핵심성과
3rd rowK+ESG 가이드라인에 의한 자가진단
4th row환경경영 방침
5th row환경경영시스템(ISO 14001)
ValueCountFrequency (%)
방침 3
 
7.1%
추진활동 3
 
7.1%
시설관리경영 2
 
4.8%
사회적가치 2
 
4.8%
iso 2
 
4.8%
시스템(iso 1
 
2.4%
41001 1
 
2.4%
추진체계 1
 
2.4%
인권경영헌장 1
 
2.4%
esg선언문 1
 
2.4%
Other values (25) 25
59.5%
2023-12-12T09:11:27.363439image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
28
 
10.8%
경 16
 
6.2%
영 13
 
5.0%
0 9
 
3.5%
S 8
 
3.1%
( 7
 
2.7%
) 7
 
2.7%
시 7
 
2.7%
1 7
 
2.7%
O 5
 
1.9%
Other values (79) 152
58.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 166
64.1%
Space Separator 28
 
10.8%
Decimal Number 25
 
9.7%
Uppercase Letter 25
 
9.7%
Open Punctuation 7
 
2.7%
Close Punctuation 7
 
2.7%
Math Symbol 1
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
경 16
 
9.6%
영 13
 
7.8%
시 7
 
4.2%
스 5
 
3.0%
템 5
 
3.0%
추 5
 
3.0%
진 5
 
3.0%
가 4
 
2.4%
방 4
 
2.4%
리 4
 
2.4%
Other values (63) 98
59.0%
Decimal Number
ValueCountFrequency (%)
0 9
36.0%
1 7
28.0%
4 3
 
12.0%
3 3
 
12.0%
7 2
 
8.0%
5 1
 
4.0%
Uppercase Letter
ValueCountFrequency (%)
S 8
32.0%
O 5
20.0%
I 5
20.0%
E 3
 
12.0%
G 3
 
12.0%
K 1
 
4.0%
Space Separator
ValueCountFrequency (%)
28
100.0%
Open Punctuation
ValueCountFrequency (%)
( 7
100.0%
Close Punctuation
ValueCountFrequency (%)
) 7
100.0%
Math Symbol
ValueCountFrequency (%)
+ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 166
64.1%
Common 68
26.3%
Latin 25
 
9.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
경 16
 
9.6%
영 13
 
7.8%
시 7
 
4.2%
스 5
 
3.0%
템 5
 
3.0%
추 5
 
3.0%
진 5
 
3.0%
가 4
 
2.4%
방 4
 
2.4%
리 4
 
2.4%
Other values (63) 98
59.0%
Common
ValueCountFrequency (%)
28
41.2%
0 9
 
13.2%
( 7
 
10.3%
) 7
 
10.3%
1 7
 
10.3%
4 3
 
4.4%
3 3
 
4.4%
7 2
 
2.9%
+ 1
 
1.5%
5 1
 
1.5%
Latin
ValueCountFrequency (%)
S 8
32.0%
O 5
20.0%
I 5
20.0%
E 3
 
12.0%
G 3
 
12.0%
K 1
 
4.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 166
64.1%
ASCII 93
35.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
28
30.1%
0 9
 
9.7%
S 8
 
8.6%
( 7
 
7.5%
) 7
 
7.5%
1 7
 
7.5%
O 5
 
5.4%
I 5
 
5.4%
4 3
 
3.2%
E 3
 
3.2%
Other values (6) 11
 
11.8%
Hangul
ValueCountFrequency (%)
경 16
 
9.6%
영 13
 
7.8%
시 7
 
4.2%
스 5
 
3.0%
템 5
 
3.0%
추 5
 
3.0%
진 5
 
3.0%
가 4
 
2.4%
방 4
 
2.4%
리 4
 
2.4%
Other values (63) 98
59.0%

2월
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct81
Distinct (%)85.3%
Missing9
Missing (%)8.7%
Infinite0
Infinite (%)0.0%
Mean1282.2211
Minimum44
Maximum13991
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-12T09:11:27.499192image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum44
5-th percentile73.3
Q1231
median409
Q3911
95-th percentile5205
Maximum13991
Range13947
Interquartile range (IQR)680

Descriptive statistics

Standard deviation2128.5052
Coefficient of variation (CV)1.6600143
Kurtosis13.04338
Mean1282.2211
Median Absolute Deviation (MAD)298
Skewness3.1071938
Sum121811
Variance4530534.5
MonotonicityNot monotonic
2023-12-12T09:11:27.651686image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
5205 9
 
8.7%
285 3
 
2.9%
277 2
 
1.9%
338 2
 
1.9%
99 2
 
1.9%
67 2
 
1.9%
723 1
 
1.0%
13991 1
 
1.0%
638 1
 
1.0%
237 1
 
1.0%
Other values (71) 71
68.3%
(Missing) 9
 
8.7%
ValueCountFrequency (%)
44 1
1.0%
62 1
1.0%
66 1
1.0%
67 2
1.9%
76 1
1.0%
83 1
1.0%
85 1
1.0%
94 1
1.0%
96 1
1.0%
98 1
1.0%
ValueCountFrequency (%)
13991 1
 
1.0%
6185 1
 
1.0%
5205 9
8.7%
4810 1
 
1.0%
4598 1
 
1.0%
4055 1
 
1.0%
3274 1
 
1.0%
2072 1
 
1.0%
1986 1
 
1.0%
1806 1
 
1.0%

총계
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct81
Distinct (%)85.3%
Missing9
Missing (%)8.7%
Infinite0
Infinite (%)0.0%
Mean1282.2211
Minimum44
Maximum13991
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-12T09:11:27.806540image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum44
5-th percentile73.3
Q1231
median409
Q3911
95-th percentile5205
Maximum13991
Range13947
Interquartile range (IQR)680

Descriptive statistics

Standard deviation2128.5052
Coefficient of variation (CV)1.6600143
Kurtosis13.04338
Mean1282.2211
Median Absolute Deviation (MAD)298
Skewness3.1071938
Sum121811
Variance4530534.5
MonotonicityNot monotonic
2023-12-12T09:11:27.961715image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
5205 9
 
8.7%
285 3
 
2.9%
277 2
 
1.9%
338 2
 
1.9%
99 2
 
1.9%
67 2
 
1.9%
723 1
 
1.0%
13991 1
 
1.0%
638 1
 
1.0%
237 1
 
1.0%
Other values (71) 71
68.3%
(Missing) 9
 
8.7%
ValueCountFrequency (%)
44 1
1.0%
62 1
1.0%
66 1
1.0%
67 2
1.9%
76 1
1.0%
83 1
1.0%
85 1
1.0%
94 1
1.0%
96 1
1.0%
98 1
1.0%
ValueCountFrequency (%)
13991 1
 
1.0%
6185 1
 
1.0%
5205 9
8.7%
4810 1
 
1.0%
4598 1
 
1.0%
4055 1
 
1.0%
3274 1
 
1.0%
2072 1
 
1.0%
1986 1
 
1.0%
1806 1
 
1.0%

데이터기준일자
Categorical

CONSTANT 

Distinct1
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size964.0 B
2023-02-27
104 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2023-02-27
2nd row2023-02-27
3rd row2023-02-27
4th row2023-02-27
5th row2023-02-27

Common Values

ValueCountFrequency (%)
2023-02-27 104
100.0%

Length

2023-12-12T09:11:28.103945image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T09:11:28.182024image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2023-02-27 104
100.0%

Interactions

2023-12-12T09:11:23.972748image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T09:11:23.785687image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T09:11:24.078609image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T09:11:23.871278image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T09:11:28.239874image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
홈페이지주소1차 게시판2차 게시판3차 게시판4차 게시판2월총계
홈페이지주소1.0000.9960.9630.0001.0001.0001.000
1차 게시판0.9961.0001.0001.000NaN0.3210.321
2차 게시판0.9631.0001.0001.000NaN0.9170.917
3차 게시판0.0001.0001.0001.0001.0001.0001.000
4차 게시판1.000NaNNaN1.0001.000NaNNaN
2월1.0000.3210.9171.000NaN1.0001.000
총계1.0000.3210.9171.000NaN1.0001.000
2023-12-12T09:11:28.339764image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
1차 게시판2차 게시판
1차 게시판1.0000.767
2차 게시판0.7671.000
2023-12-12T09:11:28.418076image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2월총계1차 게시판2차 게시판
2월1.0001.0000.1940.546
총계1.0001.0000.1940.546
1차 게시판0.1940.1941.0000.767
2차 게시판0.5460.5460.7671.000

Missing values

2023-12-12T09:11:24.197192image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T09:11:24.341844image/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.
2023-12-12T09:11:24.448088image/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

홈페이지명홈페이지주소1차 게시판2차 게시판3차 게시판4차 게시판2월총계데이터기준일자
0여수시도시관리공단https://www.yumcorp.or.kr/www/intro/greeting공단소개이사장인사말<NA><NA>207220722023-02-27
1여수시도시관리공단https://www.yumcorp.or.kr/www/intro/situation/history#target_cont공단소개일반현황설립목적 및 연혁<NA>8988982023-02-27
2여수시도시관리공단https://www.yumcorp.or.kr/www/intro/situation/vision#target_cont공단소개일반현황미션/비전<NA>8758752023-02-27
3여수시도시관리공단https://www.yumcorp.or.kr/www/intro/esg/esg_management/declaration공단소개ESG 경영ESG경영ESG선언문7237232023-02-27
4여수시도시관리공단https://www.yumcorp.or.kr/www/intro/esg/esg_management/diagnosis공단소개ESG 경영ESG경영ESG 경영추친체계 및 핵심성과2562562023-02-27
5여수시도시관리공단https://www.yumcorp.or.kr/www/intro/esg/esg_management/guideline공단소개ESG 경영ESG경영K+ESG 가이드라인에 의한 자가진단1161162023-02-27
6여수시도시관리공단https://www.yumcorp.or.kr/www/intro/esg/eco#target_cont공단소개ESG 경영환경 경영환경경영 방침2672672023-02-27
7여수시도시관리공단https://www.yumcorp.or.kr/www/intro/esg/eco/iso공단소개ESG 경영환경 경영환경경영시스템(ISO 14001)94942023-02-27
8여수시도시관리공단https://www.yumcorp.or.kr/www/intro/esg/safety#target_cont공단소개ESG 경영재난안전재난안전대책본부4304302023-02-27
9여수시도시관리공단https://www.yumcorp.or.kr/www/intro/esg/safety/certification공단소개ESG 경영재난안전재해경감우수기업 인증98982023-02-27
홈페이지명홈페이지주소1차 게시판2차 게시판3차 게시판4차 게시판2월총계데이터기준일자
94여수시도시관리공단https://www.open.go.kr/com/main/mainView.do#target_cont정보공개정보공개정보공개청구 바로가기<NA><NA><NA>2023-02-27
95여수시도시관리공단https://www.yumcorp.or.kr/www/release_information/open_data/commission#target_cont정보공개정보공개수수료 안내<NA>99992023-02-27
96여수시도시관리공단https://www.yumcorp.or.kr/www/release_information/open_data/situation#target_cont정보공개정보공개오염물질배출현황<NA>8248242023-02-27
97여수시도시관리공단https://www.yumcorp.or.kr/www/release_information/open_data/private_contract#target_cont정보공개정보공개수의계약 내역<NA>618561852023-02-27
98여수시도시관리공단https://www.yumcorp.or.kr/www/release_information/open_data/bidding_announcement#target_cont정보공개정보공개입찰공고<NA>7557552023-02-27
99여수시도시관리공단https://www.yumcorp.or.kr/www/release_information/public_data_open/data_open#target_cont정보공개공공데이터 개방공공데이터 제공<NA>3293292023-02-27
100여수시도시관리공단https://www.yumcorp.or.kr/www/release_information/public_data_open/system#target_cont정보공개공공데이터 개방공공데이터 개방 제도 안내<NA>1271272023-02-27
101여수시도시관리공단https://www.yumcorp.or.kr/www/release_information/public_data_open/list#target_cont정보공개공공데이터 개방공공데이터 개방 목록<NA>2662662023-02-27
102여수시도시관리공단https://www.data.go.kr/#target_cont정보공개공공데이터 개방공공데이터 포털<NA><NA><NA>2023-02-27
103여수시도시관리공단https://www.yumcorp.or.kr/www/release_information/public_data_open/apply#target_cont정보공개공공데이터 개방공공데이터 이용신청<NA>2912912023-02-27