Overview

Dataset statistics

Number of variables5
Number of observations32
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.4 KiB
Average record size in memory45.0 B

Variable types

Numeric1
Text2
Categorical1
DateTime1

Dataset

Description해당 데이터는 인천광역시 남동구의 적극행정 소식현황에 관련된 자료로서, 인천광역시 남동구 적극행정 소식현황의 연번, 제목, 담당부서, 작성일시, 자세히 보기의 정보를 확인할 수 있다.
Author인천광역시 남동구
URLhttps://www.data.go.kr/data/15105581/fileData.do

Alerts

담당부서 has constant value ""Constant
연번 has unique valuesUnique
제목 has unique valuesUnique
자세히 보기 has unique valuesUnique

Reproduction

Analysis started2024-03-14 15:22:57.261679
Analysis finished2024-03-14 15:22:58.316991
Duration1.06 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

UNIQUE 

Distinct32
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean16.5
Minimum1
Maximum32
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size416.0 B
2024-03-15T00:22:58.507634image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2.55
Q18.75
median16.5
Q324.25
95-th percentile30.45
Maximum32
Range31
Interquartile range (IQR)15.5

Descriptive statistics

Standard deviation9.3808315
Coefficient of variation (CV)0.56853524
Kurtosis-1.2
Mean16.5
Median Absolute Deviation (MAD)8
Skewness0
Sum528
Variance88
MonotonicityStrictly increasing
2024-03-15T00:22:58.910049image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=32)
ValueCountFrequency (%)
1 1
 
3.1%
18 1
 
3.1%
32 1
 
3.1%
31 1
 
3.1%
30 1
 
3.1%
29 1
 
3.1%
28 1
 
3.1%
27 1
 
3.1%
26 1
 
3.1%
25 1
 
3.1%
Other values (22) 22
68.8%
ValueCountFrequency (%)
1 1
3.1%
2 1
3.1%
3 1
3.1%
4 1
3.1%
5 1
3.1%
6 1
3.1%
7 1
3.1%
8 1
3.1%
9 1
3.1%
10 1
3.1%
ValueCountFrequency (%)
32 1
3.1%
31 1
3.1%
30 1
3.1%
29 1
3.1%
28 1
3.1%
27 1
3.1%
26 1
3.1%
25 1
3.1%
24 1
3.1%
23 1
3.1%

제목
Text

UNIQUE 

Distinct32
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size384.0 B
2024-03-15T00:22:59.811160image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length42
Median length32
Mean length25.4375
Min length18

Characters and Unicode

Total characters814
Distinct characters116
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique32 ?
Unique (%)100.0%

Sample

1st row[2020년 5월 3주차] 남동구 적극행정 사례
2nd row[2020년 5월 4주차] 남동구 적극행정 사례
3rd row[2020년 5월 5주차] 남동구 적극행정 사례
4th row[2020년 6월 1주차] 남동구 적극행정 사례
5th row[2020년 6월 2주차] 남동구 적극행정 사례
ValueCountFrequency (%)
적극행정 33
18.5%
남동구 17
 
9.6%
2020년 11
 
6.2%
사례 10
 
5.6%
상반기 6
 
3.4%
카드뉴스 6
 
3.4%
6월 5
 
2.8%
우수공무원 3
 
1.7%
5월 3
 
1.7%
실행계획 3
 
1.7%
Other values (59) 81
45.5%
2024-03-15T00:23:01.106924image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
146
17.9%
2 53
 
6.5%
행 41
 
5.0%
정 39
 
4.8%
0 38
 
4.7%
극 36
 
4.4%
적 36
 
4.4%
년 24
 
2.9%
구 21
 
2.6%
동 21
 
2.6%
Other values (106) 359
44.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 501
61.5%
Space Separator 146
 
17.9%
Decimal Number 121
 
14.9%
Open Punctuation 19
 
2.3%
Close Punctuation 19
 
2.3%
Other Punctuation 8
 
1.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
행 41
 
8.2%
정 39
 
7.8%
극 36
 
7.2%
적 36
 
7.2%
년 24
 
4.8%
구 21
 
4.2%
동 21
 
4.2%
남 20
 
4.0%
사 12
 
2.4%
례 12
 
2.4%
Other values (90) 239
47.7%
Decimal Number
ValueCountFrequency (%)
2 53
43.8%
0 38
31.4%
3 10
 
8.3%
1 7
 
5.8%
6 5
 
4.1%
5 4
 
3.3%
4 2
 
1.7%
7 2
 
1.7%
Other Punctuation
ValueCountFrequency (%)
" 4
50.0%
! 2
25.0%
, 2
25.0%
Open Punctuation
ValueCountFrequency (%)
[ 14
73.7%
( 5
 
26.3%
Close Punctuation
ValueCountFrequency (%)
] 14
73.7%
) 5
 
26.3%
Space Separator
ValueCountFrequency (%)
146
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 501
61.5%
Common 313
38.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
행 41
 
8.2%
정 39
 
7.8%
극 36
 
7.2%
적 36
 
7.2%
년 24
 
4.8%
구 21
 
4.2%
동 21
 
4.2%
남 20
 
4.0%
사 12
 
2.4%
례 12
 
2.4%
Other values (90) 239
47.7%
Common
ValueCountFrequency (%)
146
46.6%
2 53
 
16.9%
0 38
 
12.1%
[ 14
 
4.5%
] 14
 
4.5%
3 10
 
3.2%
1 7
 
2.2%
( 5
 
1.6%
) 5
 
1.6%
6 5
 
1.6%
Other values (6) 16
 
5.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 501
61.5%
ASCII 313
38.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
146
46.6%
2 53
 
16.9%
0 38
 
12.1%
[ 14
 
4.5%
] 14
 
4.5%
3 10
 
3.2%
1 7
 
2.2%
( 5
 
1.6%
) 5
 
1.6%
6 5
 
1.6%
Other values (6) 16
 
5.1%
Hangul
ValueCountFrequency (%)
행 41
 
8.2%
정 39
 
7.8%
극 36
 
7.2%
적 36
 
7.2%
년 24
 
4.8%
구 21
 
4.2%
동 21
 
4.2%
남 20
 
4.0%
사 12
 
2.4%
례 12
 
2.4%
Other values (90) 239
47.7%

담당부서
Categorical

CONSTANT 

Distinct1
Distinct (%)3.1%
Missing0
Missing (%)0.0%
Memory size384.0 B
기획예산과
32 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
기획예산과 32
100.0%

Length

2024-03-15T00:23:01.514612image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-15T00:23:01.830196image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
기획예산과 32
100.0%

작성일시
Date

Distinct19
Distinct (%)59.4%
Missing0
Missing (%)0.0%
Memory size384.0 B
Minimum2020-06-25 00:00:00
Maximum2023-12-22 00:00:00
2024-03-15T00:23:02.338795image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T00:23:02.702523image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=19)

자세히 보기
Text

UNIQUE 

Distinct32
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size384.0 B
2024-03-15T00:23:03.627137image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length81
Median length81
Mean length80.71875
Min length80

Characters and Unicode

Total characters2583
Distinct characters39
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

Unique32 ?
Unique (%)100.0%

Sample

1st rowhttps://www.namdong.go.kr/main/bbs/bbsMsgDetail.do?bcd=positive_region&msg_seq=1
2nd rowhttps://www.namdong.go.kr/main/bbs/bbsMsgDetail.do?bcd=positive_region&msg_seq=2
3rd rowhttps://www.namdong.go.kr/main/bbs/bbsMsgDetail.do?bcd=positive_region&msg_seq=3
4th rowhttps://www.namdong.go.kr/main/bbs/bbsMsgDetail.do?bcd=positive_region&msg_seq=4
5th rowhttps://www.namdong.go.kr/main/bbs/bbsMsgDetail.do?bcd=positive_region&msg_seq=5
ValueCountFrequency (%)
https://www.namdong.go.kr/main/bbs/bbsmsgdetail.do?bcd=positive_region&msg_seq=1 1
 
3.1%
https://www.namdong.go.kr/main/bbs/bbsmsgdetail.do?bcd=positive_region&msg_seq=2 1
 
3.1%
https://www.namdong.go.kr/main/bbs/bbsmsgdetail.do?bcd=positive_region&msg_seq=33 1
 
3.1%
https://www.namdong.go.kr/main/bbs/bbsmsgdetail.do?bcd=positive_region&msg_seq=32 1
 
3.1%
https://www.namdong.go.kr/main/bbs/bbsmsgdetail.do?bcd=positive_region&msg_seq=31 1
 
3.1%
https://www.namdong.go.kr/main/bbs/bbsmsgdetail.do?bcd=positive_region&msg_seq=30 1
 
3.1%
https://www.namdong.go.kr/main/bbs/bbsmsgdetail.do?bcd=positive_region&msg_seq=29 1
 
3.1%
https://www.namdong.go.kr/main/bbs/bbsmsgdetail.do?bcd=positive_region&msg_seq=28 1
 
3.1%
https://www.namdong.go.kr/main/bbs/bbsmsgdetail.do?bcd=positive_region&msg_seq=27 1
 
3.1%
https://www.namdong.go.kr/main/bbs/bbsmsgdetail.do?bcd=positive_region&msg_seq=26 1
 
3.1%
Other values (22) 22
68.8%
2024-03-15T00:23:04.956558image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
s 224
 
8.7%
i 160
 
6.2%
/ 160
 
6.2%
o 160
 
6.2%
g 160
 
6.2%
b 160
 
6.2%
e 128
 
5.0%
t 128
 
5.0%
. 128
 
5.0%
n 128
 
5.0%
Other values (29) 1047
40.5%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 1952
75.6%
Other Punctuation 384
 
14.9%
Connector Punctuation 64
 
2.5%
Math Symbol 64
 
2.5%
Uppercase Letter 64
 
2.5%
Decimal Number 55
 
2.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
s 224
11.5%
i 160
 
8.2%
o 160
 
8.2%
g 160
 
8.2%
b 160
 
8.2%
e 128
 
6.6%
t 128
 
6.6%
n 128
 
6.6%
d 96
 
4.9%
w 96
 
4.9%
Other values (10) 512
26.2%
Decimal Number
ValueCountFrequency (%)
1 13
23.6%
2 12
21.8%
3 8
14.5%
4 4
 
7.3%
5 3
 
5.5%
6 3
 
5.5%
7 3
 
5.5%
8 3
 
5.5%
9 3
 
5.5%
0 3
 
5.5%
Other Punctuation
ValueCountFrequency (%)
/ 160
41.7%
. 128
33.3%
& 32
 
8.3%
? 32
 
8.3%
: 32
 
8.3%
Uppercase Letter
ValueCountFrequency (%)
D 32
50.0%
M 32
50.0%
Connector Punctuation
ValueCountFrequency (%)
_ 64
100.0%
Math Symbol
ValueCountFrequency (%)
= 64
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 2016
78.0%
Common 567
 
22.0%

Most frequent character per script

Latin
ValueCountFrequency (%)
s 224
 
11.1%
i 160
 
7.9%
o 160
 
7.9%
g 160
 
7.9%
b 160
 
7.9%
e 128
 
6.3%
t 128
 
6.3%
n 128
 
6.3%
d 96
 
4.8%
w 96
 
4.8%
Other values (12) 576
28.6%
Common
ValueCountFrequency (%)
/ 160
28.2%
. 128
22.6%
_ 64
 
11.3%
= 64
 
11.3%
& 32
 
5.6%
? 32
 
5.6%
: 32
 
5.6%
1 13
 
2.3%
2 12
 
2.1%
3 8
 
1.4%
Other values (7) 22
 
3.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2583
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
s 224
 
8.7%
i 160
 
6.2%
/ 160
 
6.2%
o 160
 
6.2%
g 160
 
6.2%
b 160
 
6.2%
e 128
 
5.0%
t 128
 
5.0%
. 128
 
5.0%
n 128
 
5.0%
Other values (29) 1047
40.5%

Interactions

2024-03-15T00:22:57.532989image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-03-15T00:23:05.142025image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번제목작성일시자세히 보기
연번1.0001.0000.8931.000
제목1.0001.0001.0001.000
작성일시0.8931.0001.0001.000
자세히 보기1.0001.0001.0001.000

Missing values

2024-03-15T00:22:57.874253image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-15T00:22:58.189925image/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

연번제목담당부서작성일시자세히 보기
01[2020년 5월 3주차] 남동구 적극행정 사례기획예산과2020-06-25https://www.namdong.go.kr/main/bbs/bbsMsgDetail.do?bcd=positive_region&msg_seq=1
12[2020년 5월 4주차] 남동구 적극행정 사례기획예산과2020-06-25https://www.namdong.go.kr/main/bbs/bbsMsgDetail.do?bcd=positive_region&msg_seq=2
23[2020년 5월 5주차] 남동구 적극행정 사례기획예산과2020-06-25https://www.namdong.go.kr/main/bbs/bbsMsgDetail.do?bcd=positive_region&msg_seq=3
34[2020년 6월 1주차] 남동구 적극행정 사례기획예산과2020-06-25https://www.namdong.go.kr/main/bbs/bbsMsgDetail.do?bcd=positive_region&msg_seq=4
45[2020년 6월 2주차] 남동구 적극행정 사례기획예산과2020-06-25https://www.namdong.go.kr/main/bbs/bbsMsgDetail.do?bcd=positive_region&msg_seq=5
56[2020년 6월 3주차] 남동구 적극행정 사례기획예산과2020-06-25https://www.namdong.go.kr/main/bbs/bbsMsgDetail.do?bcd=positive_region&msg_seq=6
67[행정안전부 적극행정 맛집] 우리 구 선정 우수사례(2020년 6월 3주차)기획예산과2020-06-25https://www.namdong.go.kr/main/bbs/bbsMsgDetail.do?bcd=positive_region&msg_seq=7
78[2020년 6월 4주차] 남동구 적극행정 사례기획예산과2020-06-25https://www.namdong.go.kr/main/bbs/bbsMsgDetail.do?bcd=positive_region&msg_seq=8
89[2020년 7월 1주차] 남동구 적극행정 사례기획예산과2020-07-07https://www.namdong.go.kr/main/bbs/bbsMsgDetail.do?bcd=positive_region&msg_seq=9
910[2020년 7월 2주차] 남동구 적극행정 사례기획예산과2020-11-04https://www.namdong.go.kr/main/bbs/bbsMsgDetail.do?bcd=positive_region&msg_seq=10
연번제목담당부서작성일시자세히 보기
22232023 상반기 적극행정 우수공무원 선발안내기획예산과2023-03-24https://www.namdong.go.kr/main/bbs/bbsMsgDetail.do?bcd=positive_region&msg_seq=25
23242023년 상반기 적극행정 우수공무원 선발결과기획예산과2023-06-12https://www.namdong.go.kr/main/bbs/bbsMsgDetail.do?bcd=positive_region&msg_seq=26
24252023년 남동구 적극행정 실행계획기획예산과2023-06-29https://www.namdong.go.kr/main/bbs/bbsMsgDetail.do?bcd=positive_region&msg_seq=27
25262023년 하반기 적극행정 공무원 선발 안내기획예산과2023-11-07https://www.namdong.go.kr/main/bbs/bbsMsgDetail.do?bcd=positive_region&msg_seq=28
2627적극행정 국민신청 및 소극행정 (재)신고 안내기획예산과2023-11-10https://www.namdong.go.kr/main/bbs/bbsMsgDetail.do?bcd=positive_region&msg_seq=29
2728[적극행정 웹툰] 30년간 뒤바뀐 지번, 적극행정으로 해결기획예산과2023-12-21https://www.namdong.go.kr/main/bbs/bbsMsgDetail.do?bcd=positive_region&msg_seq=30
2829[적극행정 웹툰] 안전한 보행 환경을 조성하다기획예산과2023-12-21https://www.namdong.go.kr/main/bbs/bbsMsgDetail.do?bcd=positive_region&msg_seq=31
2930[적극행정 웹툰] 남동구가 장마를 이겨내는 방법기획예산과2023-12-21https://www.namdong.go.kr/main/bbs/bbsMsgDetail.do?bcd=positive_region&msg_seq=32
30312023년도 상반기 적극행정 카드뉴스기획예산과2023-12-22https://www.namdong.go.kr/main/bbs/bbsMsgDetail.do?bcd=positive_region&msg_seq=33
31322023년도 하반기 적극행정 카드뉴스기획예산과2023-12-22https://www.namdong.go.kr/main/bbs/bbsMsgDetail.do?bcd=positive_region&msg_seq=34