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
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://data.incheon.go.kr/findData/publicDataDetail?dataId=15105581&srcSe=7661IVAWM27C61E190

Alerts

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

Reproduction

Analysis started2024-03-13 06:12:09.284701
Analysis finished2024-03-13 06:12:09.709534
Duration0.42 seconds
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
2024-03-13T15:12:10.042222image/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
2024-03-13T15:12:10.189586image/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

UNIQUE 

Distinct21
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size300.0 B
2024-03-13T15:12:10.456108image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length42
Median length40
Mean length26
Min length18

Characters and Unicode

Total characters546
Distinct characters78
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

Unique21 ?
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 22
18.3%
남동구 16
 
13.3%
2020년 11
 
9.2%
사례 10
 
8.3%
6월 5
 
4.2%
카드뉴스 4
 
3.3%
3주차 3
 
2.5%
1주차 3
 
2.5%
5월 3
 
2.5%
상반기 3
 
2.5%
Other values (32) 40
33.3%
2024-03-13T15:12:10.788088image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
99
18.1%
2 41
 
7.5%
0 31
 
5.7%
행 26
 
4.8%
정 25
 
4.6%
적 24
 
4.4%
극 23
 
4.2%
구 18
 
3.3%
년 18
 
3.3%
동 18
 
3.3%
Other values (68) 223
40.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 318
58.2%
Space Separator 99
 
18.1%
Decimal Number 95
 
17.4%
Open Punctuation 14
 
2.6%
Close Punctuation 14
 
2.6%
Other Punctuation 6
 
1.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
행 26
 
8.2%
정 25
 
7.9%
적 24
 
7.5%
극 23
 
7.2%
구 18
 
5.7%
년 18
 
5.7%
동 18
 
5.7%
남 17
 
5.3%
례 12
 
3.8%
사 12
 
3.8%
Other values (53) 125
39.3%
Decimal Number
ValueCountFrequency (%)
2 41
43.2%
0 31
32.6%
1 7
 
7.4%
6 5
 
5.3%
5 4
 
4.2%
3 3
 
3.2%
7 2
 
2.1%
4 2
 
2.1%
Open Punctuation
ValueCountFrequency (%)
[ 11
78.6%
( 3
 
21.4%
Close Punctuation
ValueCountFrequency (%)
] 11
78.6%
) 3
 
21.4%
Other Punctuation
ValueCountFrequency (%)
" 4
66.7%
! 2
33.3%
Space Separator
ValueCountFrequency (%)
99
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 318
58.2%
Common 228
41.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
행 26
 
8.2%
정 25
 
7.9%
적 24
 
7.5%
극 23
 
7.2%
구 18
 
5.7%
년 18
 
5.7%
동 18
 
5.7%
남 17
 
5.3%
례 12
 
3.8%
사 12
 
3.8%
Other values (53) 125
39.3%
Common
ValueCountFrequency (%)
99
43.4%
2 41
18.0%
0 31
 
13.6%
[ 11
 
4.8%
] 11
 
4.8%
1 7
 
3.1%
6 5
 
2.2%
" 4
 
1.8%
5 4
 
1.8%
3 3
 
1.3%
Other values (5) 12
 
5.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 318
58.2%
ASCII 228
41.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
99
43.4%
2 41
18.0%
0 31
 
13.6%
[ 11
 
4.8%
] 11
 
4.8%
1 7
 
3.1%
6 5
 
2.2%
" 4
 
1.8%
5 4
 
1.8%
3 3
 
1.3%
Other values (5) 12
 
5.3%
Hangul
ValueCountFrequency (%)
행 26
 
8.2%
정 25
 
7.9%
적 24
 
7.5%
극 23
 
7.2%
구 18
 
5.7%
년 18
 
5.7%
동 18
 
5.7%
남 17
 
5.3%
례 12
 
3.8%
사 12
 
3.8%
Other values (53) 125
39.3%

담당부서
Categorical

CONSTANT 

Distinct1
Distinct (%)4.8%
Missing0
Missing (%)0.0%
Memory size300.0 B
기획예산과
21 

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 21
100.0%

Length

2024-03-13T15:12:10.941773image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-13T15:12:11.048728image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
기획예산과 21
100.0%

작성일시
Date

Distinct12
Distinct (%)57.1%
Missing0
Missing (%)0.0%
Memory size300.0 B
Minimum2020-06-25 00:00:00
Maximum2022-11-24 00:00:00
2024-03-13T15:12:11.143287image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T15:12:11.257824image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)

자세히 보기
Text

UNIQUE 

Distinct21
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size300.0 B
2024-03-13T15:12:11.558184image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length81
Median length81
Mean length80.571429
Min length80

Characters and Unicode

Total characters1692
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

Unique21 ?
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
 
4.8%
https://www.namdong.go.kr/main/bbs/bbsmsgdetail.do?bcd=positive_region&msg_seq=12 1
 
4.8%
https://www.namdong.go.kr/main/bbs/bbsmsgdetail.do?bcd=positive_region&msg_seq=20 1
 
4.8%
https://www.namdong.go.kr/main/bbs/bbsmsgdetail.do?bcd=positive_region&msg_seq=19 1
 
4.8%
https://www.namdong.go.kr/main/bbs/bbsmsgdetail.do?bcd=positive_region&msg_seq=18 1
 
4.8%
https://www.namdong.go.kr/main/bbs/bbsmsgdetail.do?bcd=positive_region&msg_seq=17 1
 
4.8%
https://www.namdong.go.kr/main/bbs/bbsmsgdetail.do?bcd=positive_region&msg_seq=16 1
 
4.8%
https://www.namdong.go.kr/main/bbs/bbsmsgdetail.do?bcd=positive_region&msg_seq=15 1
 
4.8%
https://www.namdong.go.kr/main/bbs/bbsmsgdetail.do?bcd=positive_region&msg_seq=14 1
 
4.8%
https://www.namdong.go.kr/main/bbs/bbsmsgdetail.do?bcd=positive_region&msg_seq=13 1
 
4.8%
Other values (11) 11
52.4%
2024-03-13T15:12:11.985963image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
s 147
 
8.7%
i 105
 
6.2%
/ 105
 
6.2%
o 105
 
6.2%
g 105
 
6.2%
b 105
 
6.2%
e 84
 
5.0%
t 84
 
5.0%
. 84
 
5.0%
n 84
 
5.0%
Other values (29) 684
40.4%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 1281
75.7%
Other Punctuation 252
 
14.9%
Connector Punctuation 42
 
2.5%
Math Symbol 42
 
2.5%
Uppercase Letter 42
 
2.5%
Decimal Number 33
 
2.0%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
s 147
11.5%
i 105
 
8.2%
o 105
 
8.2%
g 105
 
8.2%
b 105
 
8.2%
e 84
 
6.6%
t 84
 
6.6%
n 84
 
6.6%
d 63
 
4.9%
w 63
 
4.9%
Other values (10) 336
26.2%
Decimal Number
ValueCountFrequency (%)
1 12
36.4%
2 5
15.2%
3 2
 
6.1%
4 2
 
6.1%
5 2
 
6.1%
6 2
 
6.1%
7 2
 
6.1%
8 2
 
6.1%
9 2
 
6.1%
0 2
 
6.1%
Other Punctuation
ValueCountFrequency (%)
/ 105
41.7%
. 84
33.3%
& 21
 
8.3%
? 21
 
8.3%
: 21
 
8.3%
Uppercase Letter
ValueCountFrequency (%)
D 21
50.0%
M 21
50.0%
Connector Punctuation
ValueCountFrequency (%)
_ 42
100.0%
Math Symbol
ValueCountFrequency (%)
= 42
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 1323
78.2%
Common 369
 
21.8%

Most frequent character per script

Latin
ValueCountFrequency (%)
s 147
 
11.1%
i 105
 
7.9%
o 105
 
7.9%
g 105
 
7.9%
b 105
 
7.9%
e 84
 
6.3%
t 84
 
6.3%
n 84
 
6.3%
d 63
 
4.8%
w 63
 
4.8%
Other values (12) 378
28.6%
Common
ValueCountFrequency (%)
/ 105
28.5%
. 84
22.8%
_ 42
 
11.4%
= 42
 
11.4%
& 21
 
5.7%
? 21
 
5.7%
: 21
 
5.7%
1 12
 
3.3%
2 5
 
1.4%
3 2
 
0.5%
Other values (7) 14
 
3.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1692
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
s 147
 
8.7%
i 105
 
6.2%
/ 105
 
6.2%
o 105
 
6.2%
g 105
 
6.2%
b 105
 
6.2%
e 84
 
5.0%
t 84
 
5.0%
. 84
 
5.0%
n 84
 
5.0%
Other values (29) 684
40.4%

Interactions

2024-03-13T15:12:09.441575image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-03-13T15:12:12.081569image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번제목작성일시자세히 보기
연번1.0001.0000.5361.000
제목1.0001.0001.0001.000
작성일시0.5361.0001.0001.000
자세히 보기1.0001.0001.0001.000

Missing values

2024-03-13T15:12:09.575224image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-13T15:12:09.669075image/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
11122020년 상반기 남동구 적극행정 우수사례 카드뉴스기획예산과2020-11-10https://www.namdong.go.kr/main/bbs/bbsMsgDetail.do?bcd=positive_region&msg_seq=12
1213자체 제작한 남동구 적극행정 홍보 동영상 "적극행정은 남동구가 최고야!"기획예산과2020-11-10https://www.namdong.go.kr/main/bbs/bbsMsgDetail.do?bcd=positive_region&msg_seq=13
1314남동구 적극행정 길라잡이(리플릿)기획예산과2020-11-12https://www.namdong.go.kr/main/bbs/bbsMsgDetail.do?bcd=positive_region&msg_seq=14
1415남동구 적극행정 홍보 포스터 "우리 모두 적극행정 해요!"기획예산과2020-11-20https://www.namdong.go.kr/main/bbs/bbsMsgDetail.do?bcd=positive_region&msg_seq=15
15162021년도 상반기 적극행정 카드뉴스기획예산과2021-10-15https://www.namdong.go.kr/main/bbs/bbsMsgDetail.do?bcd=positive_region&msg_seq=16
16172021년 남동구 적극행정 실행계획기획예산과2021-11-04https://www.namdong.go.kr/main/bbs/bbsMsgDetail.do?bcd=positive_region&msg_seq=17
17182021년도 하반기 적극행정 카드뉴스기획예산과2022-05-10https://www.namdong.go.kr/main/bbs/bbsMsgDetail.do?bcd=positive_region&msg_seq=18
18192022년 남동구 적극행정 실행계획기획예산과2022-07-05https://www.namdong.go.kr/main/bbs/bbsMsgDetail.do?bcd=positive_region&msg_seq=19
19202022년 상반기(실적) 적극행정 우수공무원 선발기획예산과2022-08-19https://www.namdong.go.kr/main/bbs/bbsMsgDetail.do?bcd=positive_region&msg_seq=20
20212022년도 상반기 적극행정 카드뉴스기획예산과2022-11-24https://www.namdong.go.kr/main/bbs/bbsMsgDetail.do?bcd=positive_region&msg_seq=22