Overview

Dataset statistics

Number of variables5
Number of observations47
Missing cells4
Missing cells (%)1.7%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory2.1 KiB
Average record size in memory44.8 B

Variable types

Numeric2
Categorical1
Text1
DateTime1

Dataset

Description인천광역시 문화유산표준관리시스템 게시판 정보입니다. 게시판 이름, 제목, 입력일자, 조회수에 대한 정보를 제공합니다.
URLhttps://www.data.go.kr/data/15119389/fileData.do

Alerts

순번 is highly overall correlated with 조회수High correlation
조회수 is highly overall correlated with 순번High correlation
순번 has 1 (2.1%) missing valuesMissing
제목 has 1 (2.1%) missing valuesMissing
입력일자 has 1 (2.1%) missing valuesMissing
조회수 has 1 (2.1%) missing valuesMissing
조회수 has 23 (48.9%) zerosZeros

Reproduction

Analysis started2023-12-12 10:21:38.989236
Analysis finished2023-12-12 10:21:40.363603
Duration1.37 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

순번
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct46
Distinct (%)100.0%
Missing1
Missing (%)2.1%
Infinite0
Infinite (%)0.0%
Mean23.5
Minimum1
Maximum46
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size555.0 B
2023-12-12T19:21:40.433963image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile3.25
Q112.25
median23.5
Q334.75
95-th percentile43.75
Maximum46
Range45
Interquartile range (IQR)22.5

Descriptive statistics

Standard deviation13.422618
Coefficient of variation (CV)0.57117522
Kurtosis-1.2
Mean23.5
Median Absolute Deviation (MAD)11.5
Skewness0
Sum1081
Variance180.16667
MonotonicityStrictly increasing
2023-12-12T19:21:40.588416image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=46)
ValueCountFrequency (%)
1 1
 
2.1%
36 1
 
2.1%
27 1
 
2.1%
28 1
 
2.1%
29 1
 
2.1%
30 1
 
2.1%
31 1
 
2.1%
32 1
 
2.1%
33 1
 
2.1%
34 1
 
2.1%
Other values (36) 36
76.6%
ValueCountFrequency (%)
1 1
2.1%
2 1
2.1%
3 1
2.1%
4 1
2.1%
5 1
2.1%
6 1
2.1%
7 1
2.1%
8 1
2.1%
9 1
2.1%
10 1
2.1%
ValueCountFrequency (%)
46 1
2.1%
45 1
2.1%
44 1
2.1%
43 1
2.1%
42 1
2.1%
41 1
2.1%
40 1
2.1%
39 1
2.1%
38 1
2.1%
37 1
2.1%

게시판이름
Categorical

Distinct5
Distinct (%)10.6%
Missing0
Missing (%)0.0%
Memory size508.0 B
자주묻는질문(FAQ)
23 
오류신고센터
9 
개선사항
8 
공지사항
6 
<NA>
 
1

Length

Max length11
Median length6
Mean length7.8085106
Min length4

Unique

Unique1 ?
Unique (%)2.1%

Sample

1st row자주묻는질문(FAQ)
2nd row개선사항
3rd row오류신고센터
4th row공지사항
5th row자주묻는질문(FAQ)

Common Values

ValueCountFrequency (%)
자주묻는질문(FAQ) 23
48.9%
오류신고센터 9
 
19.1%
개선사항 8
 
17.0%
공지사항 6
 
12.8%
<NA> 1
 
2.1%

Length

2023-12-12T19:21:40.734120image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T19:21:40.835909image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
자주묻는질문(faq 23
48.9%
오류신고센터 9
 
19.1%
개선사항 8
 
17.0%
공지사항 6
 
12.8%
na 1
 
2.1%

제목
Text

MISSING 

Distinct46
Distinct (%)100.0%
Missing1
Missing (%)2.1%
Memory size508.0 B
2023-12-12T19:21:41.102485image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length55
Median length37
Mean length25.478261
Min length7

Characters and Unicode

Total characters1172
Distinct characters201
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique46 ?
Unique (%)100.0%

Sample

1st row소장품정보의 입력항목은 수정할 수 없나요?
2nd row[답변] 유물내역 조회 개선사항
3rd row오류메세지 반복
4th row[완료] 시스템 작업 안내 2015년 10월 2일
5th row등록된 이미지를 한 번에 삭제할 수는 없나요?
ValueCountFrequency (%)
소장품 10
 
3.6%
수 9
 
3.3%
어떻게 9
 
3.3%
하나요 6
 
2.2%
답변 6
 
2.2%
이동사항 5
 
1.8%
업로드 5
 
1.8%
안내 5
 
1.8%
오류 4
 
1.4%
없습니다 4
 
1.4%
Other values (167) 213
77.2%
2023-12-12T19:21:41.539415image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
230
 
19.6%
이 28
 
2.4%
요 21
 
1.8%
등 20
 
1.7%
록 19
 
1.6%
소 18
 
1.5%
나 18
 
1.5%
장 18
 
1.5%
수 17
 
1.5%
? 16
 
1.4%
Other values (191) 767
65.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 839
71.6%
Space Separator 230
 
19.6%
Other Punctuation 35
 
3.0%
Decimal Number 28
 
2.4%
Open Punctuation 15
 
1.3%
Close Punctuation 15
 
1.3%
Uppercase Letter 9
 
0.8%
Dash Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
이 28
 
3.3%
요 21
 
2.5%
등 20
 
2.4%
록 19
 
2.3%
소 18
 
2.1%
나 18
 
2.1%
장 18
 
2.1%
수 17
 
2.0%
지 16
 
1.9%
다 15
 
1.8%
Other values (169) 649
77.4%
Uppercase Letter
ValueCountFrequency (%)
I 2
22.2%
P 2
22.2%
S 1
11.1%
B 1
11.1%
D 1
11.1%
M 1
11.1%
C 1
11.1%
Decimal Number
ValueCountFrequency (%)
1 10
35.7%
0 6
21.4%
2 6
21.4%
5 4
 
14.3%
4 1
 
3.6%
6 1
 
3.6%
Other Punctuation
ValueCountFrequency (%)
? 16
45.7%
. 16
45.7%
, 3
 
8.6%
Open Punctuation
ValueCountFrequency (%)
[ 12
80.0%
( 3
 
20.0%
Close Punctuation
ValueCountFrequency (%)
] 12
80.0%
) 3
 
20.0%
Space Separator
ValueCountFrequency (%)
230
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 839
71.6%
Common 324
 
27.6%
Latin 9
 
0.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
이 28
 
3.3%
요 21
 
2.5%
등 20
 
2.4%
록 19
 
2.3%
소 18
 
2.1%
나 18
 
2.1%
장 18
 
2.1%
수 17
 
2.0%
지 16
 
1.9%
다 15
 
1.8%
Other values (169) 649
77.4%
Common
ValueCountFrequency (%)
230
71.0%
? 16
 
4.9%
. 16
 
4.9%
[ 12
 
3.7%
] 12
 
3.7%
1 10
 
3.1%
0 6
 
1.9%
2 6
 
1.9%
5 4
 
1.2%
) 3
 
0.9%
Other values (5) 9
 
2.8%
Latin
ValueCountFrequency (%)
I 2
22.2%
P 2
22.2%
S 1
11.1%
B 1
11.1%
D 1
11.1%
M 1
11.1%
C 1
11.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 839
71.6%
ASCII 333
 
28.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
230
69.1%
? 16
 
4.8%
. 16
 
4.8%
[ 12
 
3.6%
] 12
 
3.6%
1 10
 
3.0%
0 6
 
1.8%
2 6
 
1.8%
5 4
 
1.2%
) 3
 
0.9%
Other values (12) 18
 
5.4%
Hangul
ValueCountFrequency (%)
이 28
 
3.3%
요 21
 
2.5%
등 20
 
2.4%
록 19
 
2.3%
소 18
 
2.1%
나 18
 
2.1%
장 18
 
2.1%
수 17
 
2.0%
지 16
 
1.9%
다 15
 
1.8%
Other values (169) 649
77.4%

입력일자
Date

MISSING 

Distinct33
Distinct (%)71.7%
Missing1
Missing (%)2.1%
Memory size508.0 B
Minimum2015-01-15 11:47:00
Maximum2015-12-09 16:56:00
2023-12-12T19:21:41.692124image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T19:21:41.809110image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=33)

조회수
Real number (ℝ)

HIGH CORRELATION  MISSING  ZEROS 

Distinct24
Distinct (%)52.2%
Missing1
Missing (%)2.1%
Infinite0
Infinite (%)0.0%
Mean24.934783
Minimum0
Maximum176
Zeros23
Zeros (%)48.9%
Negative0
Negative (%)0.0%
Memory size555.0 B
2023-12-12T19:21:41.951844image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1.5
Q333.25
95-th percentile109.25
Maximum176
Range176
Interquartile range (IQR)33.25

Descriptive statistics

Standard deviation43.708327
Coefficient of variation (CV)1.7529059
Kurtosis4.4151971
Mean24.934783
Median Absolute Deviation (MAD)1.5
Skewness2.1945438
Sum1147
Variance1910.4179
MonotonicityNot monotonic
2023-12-12T19:21:42.103498image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=24)
ValueCountFrequency (%)
0 23
48.9%
37 1
 
2.1%
10 1
 
2.1%
16 1
 
2.1%
3 1
 
2.1%
7 1
 
2.1%
176 1
 
2.1%
18 1
 
2.1%
93 1
 
2.1%
107 1
 
2.1%
Other values (14) 14
29.8%
ValueCountFrequency (%)
0 23
48.9%
3 1
 
2.1%
4 1
 
2.1%
5 1
 
2.1%
7 1
 
2.1%
10 1
 
2.1%
13 1
 
2.1%
16 1
 
2.1%
17 1
 
2.1%
18 1
 
2.1%
ValueCountFrequency (%)
176 1
2.1%
168 1
2.1%
110 1
2.1%
107 1
2.1%
96 1
2.1%
93 1
2.1%
61 1
2.1%
44 1
2.1%
42 1
2.1%
40 1
2.1%

Interactions

2023-12-12T19:21:39.528443image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T19:21:39.333350image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T19:21:39.647369image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T19:21:39.417502image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T19:21:42.201664image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순번게시판이름제목입력일자조회수
순번1.0000.1661.0000.4010.325
게시판이름0.1661.0001.0000.6070.241
제목1.0001.0001.0001.0001.000
입력일자0.4010.6071.0001.0000.947
조회수0.3250.2411.0000.9471.000
2023-12-12T19:21:42.320309image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순번조회수게시판이름
순번1.000-0.7660.212
조회수-0.7661.0000.152
게시판이름0.2120.1521.000

Missing values

2023-12-12T19:21:40.087811image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T19:21:40.187823image/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.
2023-12-12T19:21:40.301585image/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

순번게시판이름제목입력일자조회수
01자주묻는질문(FAQ)소장품정보의 입력항목은 수정할 수 없나요?2015-10-30 17:490
12개선사항[답변] 유물내역 조회 개선사항2015-9-25 11:4342
23오류신고센터오류메세지 반복2015-11-26 16:1222
34공지사항[완료] 시스템 작업 안내 2015년 10월 2일2015-11-30 15:36168
45자주묻는질문(FAQ)등록된 이미지를 한 번에 삭제할 수는 없나요?2015-10-30 17:4744
56자주묻는질문(FAQ)소장품 자동등록은 어떻게 하나요? 자동등록 후 이미지는 어떻게 등록하면 되나요?2015-11-24 9:3813
67오류신고센터이동사항 등록시2015-12-9 9:0920
78오류신고센터[답변] 이동사항 등록시2015-12-9 9:1096
89자주묻는질문(FAQ)이동사항 오류2015-10-30 17:505
910공지사항[중요]공립박물관 등록율 확인 방법 안내2015-10-30 17:524
순번게시판이름제목입력일자조회수
3738자주묻는질문(FAQ)이미지를 업로드 했는데 이미지가 보이지 않아요.2015-10-30 17:510
3839공지사항[완료] 시스템 작업 안내 2015년 12월 4일2015-10-30 17:520
3940자주묻는질문(FAQ)엑셀파일이 업로드 되지 않아 소장품 자동등록을 할 수 없습니다. 어떻게 해야 하나요?2015-1-15 11:470
4041자주묻는질문(FAQ)소장구분을 추가했는데 소장품 등록 메뉴에서 보이지 않습니다.2015-10-30 17:430
4142개선사항선택 항목 가나다 순서 정렬2015-10-30 17:450
4243개선사항가등록-등록 전환 선택파일 갯수 부족2015-10-30 17:460
4344공지사항[완료] 정전작업 안내 2015년 11월 1일(일)2015-11-24 10:150
4445개선사항[답변] 항목 텍스트 검색기능을 사용해주세요.2015-12-6 9:330
4546오류신고센터[답변] 이동사항 오류2015-12-7 9:390
46<NA><NA><NA><NA><NA>