Overview

Dataset statistics

Number of variables5
Number of observations21
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory993.0 B
Average record size in memory47.3 B

Variable types

Numeric1
Text2
DateTime2

Dataset

Description해당 데이터는 인천광역시 남동구의 기타 전자책에 관련된 자료로서, 인천광역시 남동구 기타 전자책의 연번, 제목, 작성일시, 자세히 보기의 정보를 확인할 수 있다.<br/>
Author인천광역시 남동구
URLhttps://data.incheon.go.kr/findData/publicDataDetail?dataId=15103691&srcSe=7661IVAWM27C61E190

Alerts

데이터기준일자 has constant value ""Constant
연번 has unique valuesUnique

Reproduction

Analysis started2024-03-18 01:24:22.586232
Analysis finished2024-03-18 01:24:24.094099
Duration1.51 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

UNIQUE 

Distinct21
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean11
Minimum1
Maximum21
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size321.0 B
2024-03-18T10:24:24.161373image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q16
median11
Q316
95-th percentile20
Maximum21
Range20
Interquartile range (IQR)10

Descriptive statistics

Standard deviation6.2048368
Coefficient of variation (CV)0.56407607
Kurtosis-1.2
Mean11
Median Absolute Deviation (MAD)5
Skewness0
Sum231
Variance38.5
MonotonicityStrictly increasing
2024-03-18T10:24:24.326890image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
1 1
 
4.8%
2 1
 
4.8%
21 1
 
4.8%
20 1
 
4.8%
19 1
 
4.8%
18 1
 
4.8%
17 1
 
4.8%
16 1
 
4.8%
15 1
 
4.8%
14 1
 
4.8%
Other values (11) 11
52.4%
ValueCountFrequency (%)
1 1
4.8%
2 1
4.8%
3 1
4.8%
4 1
4.8%
5 1
4.8%
6 1
4.8%
7 1
4.8%
8 1
4.8%
9 1
4.8%
10 1
4.8%
ValueCountFrequency (%)
21 1
4.8%
20 1
4.8%
19 1
4.8%
18 1
4.8%
17 1
4.8%
16 1
4.8%
15 1
4.8%
14 1
4.8%
13 1
4.8%
12 1
4.8%

제목
Text

Distinct20
Distinct (%)95.2%
Missing0
Missing (%)0.0%
Memory size300.0 B
2024-03-18T10:24:24.524305image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length28
Median length18
Mean length15.142857
Min length6

Characters and Unicode

Total characters318
Distinct characters107
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

Unique19 ?
Unique (%)90.5%

Sample

1st row남동구 20년사
2nd row남동구 중장기발전계획
3rd row남동문예 제25호
4th row2019년 기업지원 사업안내
5th row2019 찾아가는 남동구 기업지원 설명회 자료
ValueCountFrequency (%)
남동구 8
 
12.3%
2021년 3
 
4.6%
함께 2
 
3.1%
역사기행 2
 
3.1%
떠나는 2
 
3.1%
제1회 2
 
3.1%
주민총회 2
 
3.1%
기업지원 2
 
3.1%
일자리센터 2
 
3.1%
2020년 2
 
3.1%
Other values (38) 38
58.5%
2024-03-18T10:24:24.826759image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
44
 
13.8%
2 20
 
6.3%
동 14
 
4.4%
0 12
 
3.8%
남 11
 
3.5%
구 9
 
2.8%
사 8
 
2.5%
1 8
 
2.5%
년 8
 
2.5%
업 8
 
2.5%
Other values (97) 176
55.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 218
68.6%
Decimal Number 46
 
14.5%
Space Separator 44
 
13.8%
Lowercase Letter 5
 
1.6%
Open Punctuation 2
 
0.6%
Close Punctuation 2
 
0.6%
Other Punctuation 1
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 14
 
6.4%
남 11
 
5.0%
구 9
 
4.1%
사 8
 
3.7%
년 8
 
3.7%
업 8
 
3.7%
리 8
 
3.7%
기 7
 
3.2%
지 6
 
2.8%
회 6
 
2.8%
Other values (81) 133
61.0%
Decimal Number
ValueCountFrequency (%)
2 20
43.5%
0 12
26.1%
1 8
 
17.4%
9 2
 
4.3%
4 1
 
2.2%
5 1
 
2.2%
3 1
 
2.2%
6 1
 
2.2%
Lowercase Letter
ValueCountFrequency (%)
o 2
40.0%
k 1
20.0%
b 1
20.0%
e 1
20.0%
Space Separator
ValueCountFrequency (%)
44
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%
Other Punctuation
ValueCountFrequency (%)
! 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 218
68.6%
Common 95
29.9%
Latin 5
 
1.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 14
 
6.4%
남 11
 
5.0%
구 9
 
4.1%
사 8
 
3.7%
년 8
 
3.7%
업 8
 
3.7%
리 8
 
3.7%
기 7
 
3.2%
지 6
 
2.8%
회 6
 
2.8%
Other values (81) 133
61.0%
Common
ValueCountFrequency (%)
44
46.3%
2 20
21.1%
0 12
 
12.6%
1 8
 
8.4%
( 2
 
2.1%
) 2
 
2.1%
9 2
 
2.1%
! 1
 
1.1%
4 1
 
1.1%
5 1
 
1.1%
Other values (2) 2
 
2.1%
Latin
ValueCountFrequency (%)
o 2
40.0%
k 1
20.0%
b 1
20.0%
e 1
20.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 218
68.6%
ASCII 100
31.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
44
44.0%
2 20
20.0%
0 12
 
12.0%
1 8
 
8.0%
( 2
 
2.0%
o 2
 
2.0%
) 2
 
2.0%
9 2
 
2.0%
! 1
 
1.0%
4 1
 
1.0%
Other values (6) 6
 
6.0%
Hangul
ValueCountFrequency (%)
동 14
 
6.4%
남 11
 
5.0%
구 9
 
4.1%
사 8
 
3.7%
년 8
 
3.7%
업 8
 
3.7%
리 8
 
3.7%
기 7
 
3.2%
지 6
 
2.8%
회 6
 
2.8%
Other values (81) 133
61.0%

작성일시
Date

Distinct20
Distinct (%)95.2%
Missing0
Missing (%)0.0%
Memory size300.0 B
Minimum2011-09-09 00:00:00
Maximum2024-02-22 00:00:00
2024-03-18T10:24:24.930989image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-18T10:24:25.022082image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=20)

자세히 보기
Text

Distinct19
Distinct (%)90.5%
Missing0
Missing (%)0.0%
Memory size300.0 B
2024-03-18T10:24:25.206697image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length83
Median length83
Mean length73.666667
Min length42

Characters and Unicode

Total characters1547
Distinct characters41
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

Unique18 ?
Unique (%)85.7%

Sample

1st rowhttps://www.namdong.go.kr/main/news/etc.jsp
2nd rowhttps://www.namdong.go.kr/main/news/etc.jsp
3rd rowhttps://www.namdong.go.kr/main/news/etc.jsp
4th rowhttps://www.namdong.go.kr/main/bbs/bbsMsgFileDown.do?bcd=ebook&msg_seq=335&fileno=3
5th rowhttps://www.namdong.go.kr/main/bbs/bbsMsgFileDown.do?bcd=ebook&msg_seq=336&fileno=3
ValueCountFrequency (%)
https://www.namdong.go.kr/main/news/etc.jsp 3
 
14.3%
https://www.namdong.go.kr/main/bbs/bbsmsgfiledown.do?bcd=ebook&msg_seq=380&fileno=3 1
 
4.8%
https://www.namdong.go.kr/ebook/2023_job2 1
 
4.8%
https://www.namdong.go.kr/main/bbs/bbsmsgfiledown.do?bcd=ebook&msg_seq=407&fileno=3 1
 
4.8%
https://www.namdong.go.kr/main/bbs/bbsmsgfiledown.do?bcd=ebook&msg_seq=406&fileno=3 1
 
4.8%
https://www.namdong.go.kr/main/bbs/bbsmsgfiledown.do?bcd=ebook&msg_seq=405&fileno=3 1
 
4.8%
https://www.namdong.go.kr/main/bbs/bbsmsgfiledown.do?bcd=ebook&msg_seq=395&fileno=3 1
 
4.8%
https://www.namdong.go.kr/main/bbs/bbsmsgfiledown.do?bcd=ebook&msg_seq=388&fileno=3 1
 
4.8%
https://www.namdong.go.kr/main/bbs/bbsmsgfiledown.do?bcd=ebook&msg_seq=382&fileno=3 1
 
4.8%
https://www.namdong.go.kr/main/bbs/bbsmsgfiledown.do?bcd=ebook&msg_seq=376&fileno=3 1
 
4.8%
Other values (9) 9
42.9%
2024-03-18T10:24:25.479080image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
o 128
 
8.3%
s 108
 
7.0%
/ 105
 
6.8%
b 99
 
6.4%
n 96
 
6.2%
w 82
 
5.3%
. 82
 
5.3%
g 74
 
4.8%
e 72
 
4.7%
m 56
 
3.6%
Other values (31) 645
41.7%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 1104
71.4%
Other Punctuation 256
 
16.5%
Decimal Number 73
 
4.7%
Math Symbol 48
 
3.1%
Uppercase Letter 48
 
3.1%
Connector Punctuation 18
 
1.2%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
o 128
11.6%
s 108
 
9.8%
b 99
 
9.0%
n 96
 
8.7%
w 82
 
7.4%
g 74
 
6.7%
e 72
 
6.5%
m 56
 
5.1%
d 53
 
4.8%
i 53
 
4.8%
Other values (11) 283
25.6%
Decimal Number
ValueCountFrequency (%)
3 31
42.5%
0 8
 
11.0%
2 6
 
8.2%
4 6
 
8.2%
8 5
 
6.8%
5 5
 
6.8%
6 5
 
6.8%
7 4
 
5.5%
9 2
 
2.7%
1 1
 
1.4%
Other Punctuation
ValueCountFrequency (%)
/ 105
41.0%
. 82
32.0%
& 32
 
12.5%
: 21
 
8.2%
? 16
 
6.2%
Uppercase Letter
ValueCountFrequency (%)
M 16
33.3%
D 16
33.3%
F 16
33.3%
Math Symbol
ValueCountFrequency (%)
= 48
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 18
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 1152
74.5%
Common 395
 
25.5%

Most frequent character per script

Latin
ValueCountFrequency (%)
o 128
 
11.1%
s 108
 
9.4%
b 99
 
8.6%
n 96
 
8.3%
w 82
 
7.1%
g 74
 
6.4%
e 72
 
6.2%
m 56
 
4.9%
d 53
 
4.6%
i 53
 
4.6%
Other values (14) 331
28.7%
Common
ValueCountFrequency (%)
/ 105
26.6%
. 82
20.8%
= 48
12.2%
& 32
 
8.1%
3 31
 
7.8%
: 21
 
5.3%
_ 18
 
4.6%
? 16
 
4.1%
0 8
 
2.0%
2 6
 
1.5%
Other values (7) 28
 
7.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1547
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
o 128
 
8.3%
s 108
 
7.0%
/ 105
 
6.8%
b 99
 
6.4%
n 96
 
6.2%
w 82
 
5.3%
. 82
 
5.3%
g 74
 
4.8%
e 72
 
4.7%
m 56
 
3.6%
Other values (31) 645
41.7%

데이터기준일자
Date

CONSTANT 

Distinct1
Distinct (%)4.8%
Missing0
Missing (%)0.0%
Memory size300.0 B
Minimum2024-02-22 00:00:00
Maximum2024-02-22 00:00:00
2024-03-18T10:24:25.563512image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-18T10:24:25.627101image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Interactions

2024-03-18T10:24:23.831071image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-03-18T10:24:25.686686image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번제목작성일시자세히 보기
연번1.0000.9481.0000.928
제목0.9481.0000.9820.944
작성일시1.0000.9821.0000.944
자세히 보기0.9280.9440.9441.000

Missing values

2024-03-18T10:24:23.988127image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-18T10:24:24.061235image/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

연번제목작성일시자세히 보기데이터기준일자
01남동구 20년사2011-09-09https://www.namdong.go.kr/main/news/etc.jsp2024-02-22
12남동구 중장기발전계획2013-03-25https://www.namdong.go.kr/main/news/etc.jsp2024-02-22
23남동문예 제25호2019-01-10https://www.namdong.go.kr/main/news/etc.jsp2024-02-22
342019년 기업지원 사업안내2019-02-11https://www.namdong.go.kr/main/bbs/bbsMsgFileDown.do?bcd=ebook&msg_seq=335&fileno=32024-02-22
452019 찾아가는 남동구 기업지원 설명회 자료2019-02-12https://www.namdong.go.kr/main/bbs/bbsMsgFileDown.do?bcd=ebook&msg_seq=336&fileno=32024-02-22
562020년 달라지는 사항2020-01-08https://www.namdong.go.kr/main/bbs/bbsMsgFileDown.do?bcd=ebook&msg_seq=348&fileno=32024-02-22
67함께 떠나는 남동구 역사기행2020-04-01https://www.namdong.go.kr/ebook/2020_historical/2024-02-22
782020년 어린이집 지도점검 사례집 1부2020-09-22https://www.namdong.go.kr/main/bbs/bbsMsgFileDown.do?bcd=ebook&msg_seq=359&fileno=32024-02-22
892021년 기업의 성공 길라잡이2021-03-31https://www.namdong.go.kr/main/bbs/bbsMsgFileDown.do?bcd=ebook&msg_seq=366&fileno=32024-02-22
9102021년 건강가정다문화가족지원사업 안내 (리플릿)2021-05-25https://www.namdong.go.kr/main/bbs/bbsMsgFileDown.do?bcd=ebook&msg_seq=370&fileno=32024-02-22
연번제목작성일시자세히 보기데이터기준일자
11122021년 제1회 논현2동 주민총회 개최 결과2021-09-16https://www.namdong.go.kr/main/bbs/bbsMsgFileDown.do?bcd=ebook&msg_seq=376&fileno=32024-02-22
1213주민자치회 구월2동2021-11-26https://www.namdong.go.kr/main/bbs/bbsMsgFileDown.do?bcd=ebook&msg_seq=380&fileno=32024-02-22
1314남동구 일자리센터2021-12-23https://www.namdong.go.kr/main/bbs/bbsMsgFileDown.do?bcd=ebook&msg_seq=382&fileno=32024-02-22
1415함께 떠나는 남동구 역사기행2022-05-25https://www.namdong.go.kr/main/bbs/bbsMsgFileDown.do?bcd=ebook&msg_seq=388&fileno=32024-02-22
15162023년 남동구 일자리센터(리플렛)2022-12-07https://www.namdong.go.kr/main/bbs/bbsMsgFileDown.do?bcd=ebook&msg_seq=395&fileno=32024-02-22
1617남동어르신건강알리미2023-08-24https://www.namdong.go.kr/main/bbs/bbsMsgFileDown.do?bcd=ebook&msg_seq=405&fileno=32024-02-22
1718남동건강알리미2023-08-24https://www.namdong.go.kr/main/bbs/bbsMsgFileDown.do?bcd=ebook&msg_seq=406&fileno=32024-02-22
1819출산장려정책2023-08-28https://www.namdong.go.kr/main/bbs/bbsMsgFileDown.do?bcd=ebook&msg_seq=407&fileno=32024-02-22
1920취업문이 활짝! 남동구 일자리센터2023-09-22https://www.namdong.go.kr/ebook/2023_job2/2024-02-22
20212024중소기업지원사업 리플렛2024-02-22https://www.namdong.go.kr/main/bbs/bbsMsgFileDown.do?bcd=ebook&msg_seq=415&fileno=32024-02-22