Overview

Dataset statistics

Number of variables5
Number of observations41
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.8 KiB
Average record size in memory44.2 B

Variable types

Numeric1
Text2
Categorical1
DateTime1

Dataset

Description해당 데이터는 인천광역시 남동구의 국외연수보고서에 관련된 자료로서, 인천광역시 남동구 국외연수보고서의 연번, 제목, 담당부서, 작성일시, 자세히 보기의 정보를 확인할 수 있다.
Author인천광역시 남동구
URLhttps://data.incheon.go.kr/findData/publicDataDetail?dataId=15105579&srcSe=7661IVAWM27C61E190

Alerts

담당부서 is highly imbalanced (83.5%)Imbalance
연번 has unique valuesUnique
제목 has unique valuesUnique
자세히 보기 has unique valuesUnique

Reproduction

Analysis started2024-03-13 05:32:33.419721
Analysis finished2024-03-13 05:32:34.115613
Duration0.7 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

UNIQUE 

Distinct41
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean21
Minimum1
Maximum41
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size501.0 B
2024-03-13T14:32:34.211178image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile3
Q111
median21
Q331
95-th percentile39
Maximum41
Range40
Interquartile range (IQR)20

Descriptive statistics

Standard deviation11.979149
Coefficient of variation (CV)0.57043565
Kurtosis-1.2
Mean21
Median Absolute Deviation (MAD)10
Skewness0
Sum861
Variance143.5
MonotonicityStrictly increasing
2024-03-13T14:32:34.419973image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=41)
ValueCountFrequency (%)
1 1
 
2.4%
32 1
 
2.4%
24 1
 
2.4%
25 1
 
2.4%
26 1
 
2.4%
27 1
 
2.4%
28 1
 
2.4%
29 1
 
2.4%
30 1
 
2.4%
31 1
 
2.4%
Other values (31) 31
75.6%
ValueCountFrequency (%)
1 1
2.4%
2 1
2.4%
3 1
2.4%
4 1
2.4%
5 1
2.4%
6 1
2.4%
7 1
2.4%
8 1
2.4%
9 1
2.4%
10 1
2.4%
ValueCountFrequency (%)
41 1
2.4%
40 1
2.4%
39 1
2.4%
38 1
2.4%
37 1
2.4%
36 1
2.4%
35 1
2.4%
34 1
2.4%
33 1
2.4%
32 1
2.4%

제목
Text

UNIQUE 

Distinct41
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size460.0 B
2024-03-13T14:32:34.742853image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length38
Median length30
Mean length21.536585
Min length10

Characters and Unicode

Total characters883
Distinct characters155
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique41 ?
Unique (%)100.0%

Sample

1st row도시계획 정책수행 선진지 견학(영국,프랑스,스위스)
2nd row선진사회복지서비스 전달체계 및 보건환경 행정체계 전달(호주,뉴질랜드)
3rd row2012년 공무원 외국어경진대회 수상자 해외연수(홍콩,심천)
4th row2013년 해외박람회(광저우 캔톤페어) 참가업체 인솔
5th row2013년 러시아,중동 무역사절단 파견 인솔
ValueCountFrequency (%)
2017년 11
 
6.8%
인솔 6
 
3.7%
산업시찰 6
 
3.7%
장기근속공무원 6
 
3.7%
무역사절단 4
 
2.5%
파견 4
 
2.5%
2013년 3
 
1.9%
해외연수 3
 
1.9%
보고서 3
 
1.9%
및 3
 
1.9%
Other values (97) 113
69.8%
2024-03-13T14:32:35.291043image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
121
 
13.7%
2 36
 
4.1%
1 34
 
3.9%
0 31
 
3.5%
년 27
 
3.1%
국 24
 
2.7%
외 24
 
2.7%
무 21
 
2.4%
수 16
 
1.8%
공 15
 
1.7%
Other values (145) 534
60.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 595
67.4%
Decimal Number 135
 
15.3%
Space Separator 121
 
13.7%
Open Punctuation 10
 
1.1%
Close Punctuation 10
 
1.1%
Dash Punctuation 6
 
0.7%
Other Punctuation 6
 
0.7%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
년 27
 
4.5%
국 24
 
4.0%
외 24
 
4.0%
무 21
 
3.5%
수 16
 
2.7%
공 15
 
2.5%
보 13
 
2.2%
연 13
 
2.2%
행 12
 
2.0%
사 12
 
2.0%
Other values (127) 418
70.3%
Decimal Number
ValueCountFrequency (%)
2 36
26.7%
1 34
25.2%
0 31
23.0%
7 13
 
9.6%
3 6
 
4.4%
4 5
 
3.7%
6 4
 
3.0%
8 3
 
2.2%
5 2
 
1.5%
9 1
 
0.7%
Open Punctuation
ValueCountFrequency (%)
( 9
90.0%
「 1
 
10.0%
Close Punctuation
ValueCountFrequency (%)
) 9
90.0%
」 1
 
10.0%
Other Punctuation
ValueCountFrequency (%)
, 5
83.3%
. 1
 
16.7%
Space Separator
ValueCountFrequency (%)
121
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 6
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 595
67.4%
Common 288
32.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
년 27
 
4.5%
국 24
 
4.0%
외 24
 
4.0%
무 21
 
3.5%
수 16
 
2.7%
공 15
 
2.5%
보 13
 
2.2%
연 13
 
2.2%
행 12
 
2.0%
사 12
 
2.0%
Other values (127) 418
70.3%
Common
ValueCountFrequency (%)
121
42.0%
2 36
 
12.5%
1 34
 
11.8%
0 31
 
10.8%
7 13
 
4.5%
( 9
 
3.1%
) 9
 
3.1%
3 6
 
2.1%
- 6
 
2.1%
, 5
 
1.7%
Other values (8) 18
 
6.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 595
67.4%
ASCII 286
32.4%
None 2
 
0.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
121
42.3%
2 36
 
12.6%
1 34
 
11.9%
0 31
 
10.8%
7 13
 
4.5%
( 9
 
3.1%
) 9
 
3.1%
3 6
 
2.1%
- 6
 
2.1%
, 5
 
1.7%
Other values (6) 16
 
5.6%
Hangul
ValueCountFrequency (%)
년 27
 
4.5%
국 24
 
4.0%
외 24
 
4.0%
무 21
 
3.5%
수 16
 
2.7%
공 15
 
2.5%
보 13
 
2.2%
연 13
 
2.2%
행 12
 
2.0%
사 12
 
2.0%
Other values (127) 418
70.3%
None
ValueCountFrequency (%)
「 1
50.0%
」 1
50.0%

담당부서
Categorical

IMBALANCE 

Distinct2
Distinct (%)4.9%
Missing0
Missing (%)0.0%
Memory size460.0 B
기획예산실
40 
기획예산과
 
1

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique1 ?
Unique (%)2.4%

Sample

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

Common Values

ValueCountFrequency (%)
기획예산실 40
97.6%
기획예산과 1
 
2.4%

Length

2024-03-13T14:32:35.464976image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-13T14:32:35.591436image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
기획예산실 40
97.6%
기획예산과 1
 
2.4%

작성일시
Date

Distinct26
Distinct (%)63.4%
Missing0
Missing (%)0.0%
Memory size460.0 B
Minimum2013-06-13 00:00:00
Maximum2023-03-28 00:00:00
2024-03-13T14:32:35.758435image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T14:32:35.994196image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=26)

자세히 보기
Text

UNIQUE 

Distinct41
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size460.0 B
2024-03-13T14:32:36.415288image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length81
Median length81
Mean length80.780488
Min length80

Characters and Unicode

Total characters3312
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

Unique41 ?
Unique (%)100.0%

Sample

1st rowhttps://www.namdong.go.kr/main/bbs/bbsMsgDetail.do?bcd=overseas_report&msg_seq=1
2nd rowhttps://www.namdong.go.kr/main/bbs/bbsMsgDetail.do?bcd=overseas_report&msg_seq=2
3rd rowhttps://www.namdong.go.kr/main/bbs/bbsMsgDetail.do?bcd=overseas_report&msg_seq=3
4th rowhttps://www.namdong.go.kr/main/bbs/bbsMsgDetail.do?bcd=overseas_report&msg_seq=4
5th rowhttps://www.namdong.go.kr/main/bbs/bbsMsgDetail.do?bcd=overseas_report&msg_seq=5
ValueCountFrequency (%)
https://www.namdong.go.kr/main/bbs/bbsmsgdetail.do?bcd=overseas_report&msg_seq=1 1
 
2.4%
https://www.namdong.go.kr/main/bbs/bbsmsgdetail.do?bcd=overseas_report&msg_seq=24 1
 
2.4%
https://www.namdong.go.kr/main/bbs/bbsmsgdetail.do?bcd=overseas_report&msg_seq=26 1
 
2.4%
https://www.namdong.go.kr/main/bbs/bbsmsgdetail.do?bcd=overseas_report&msg_seq=27 1
 
2.4%
https://www.namdong.go.kr/main/bbs/bbsmsgdetail.do?bcd=overseas_report&msg_seq=28 1
 
2.4%
https://www.namdong.go.kr/main/bbs/bbsmsgdetail.do?bcd=overseas_report&msg_seq=29 1
 
2.4%
https://www.namdong.go.kr/main/bbs/bbsmsgdetail.do?bcd=overseas_report&msg_seq=30 1
 
2.4%
https://www.namdong.go.kr/main/bbs/bbsmsgdetail.do?bcd=overseas_report&msg_seq=31 1
 
2.4%
https://www.namdong.go.kr/main/bbs/bbsmsgdetail.do?bcd=overseas_report&msg_seq=32 1
 
2.4%
https://www.namdong.go.kr/main/bbs/bbsmsgdetail.do?bcd=overseas_report&msg_seq=33 1
 
2.4%
Other values (31) 31
75.6%
2024-03-13T14:32:37.006150image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
s 328
 
9.9%
e 205
 
6.2%
/ 205
 
6.2%
o 205
 
6.2%
b 205
 
6.2%
t 164
 
5.0%
. 164
 
5.0%
a 164
 
5.0%
g 164
 
5.0%
r 164
 
5.0%
Other values (29) 1344
40.6%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 2501
75.5%
Other Punctuation 492
 
14.9%
Connector Punctuation 82
 
2.5%
Math Symbol 82
 
2.5%
Uppercase Letter 82
 
2.5%
Decimal Number 73
 
2.2%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
s 328
13.1%
e 205
 
8.2%
o 205
 
8.2%
b 205
 
8.2%
t 164
 
6.6%
a 164
 
6.6%
g 164
 
6.6%
r 164
 
6.6%
d 123
 
4.9%
w 123
 
4.9%
Other values (10) 656
26.2%
Decimal Number
ValueCountFrequency (%)
3 14
19.2%
1 13
17.8%
2 13
17.8%
4 10
13.7%
5 4
 
5.5%
6 4
 
5.5%
7 4
 
5.5%
9 4
 
5.5%
0 4
 
5.5%
8 3
 
4.1%
Other Punctuation
ValueCountFrequency (%)
/ 205
41.7%
. 164
33.3%
& 41
 
8.3%
? 41
 
8.3%
: 41
 
8.3%
Uppercase Letter
ValueCountFrequency (%)
D 41
50.0%
M 41
50.0%
Connector Punctuation
ValueCountFrequency (%)
_ 82
100.0%
Math Symbol
ValueCountFrequency (%)
= 82
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 2583
78.0%
Common 729
 
22.0%

Most frequent character per script

Latin
ValueCountFrequency (%)
s 328
12.7%
e 205
 
7.9%
o 205
 
7.9%
b 205
 
7.9%
t 164
 
6.3%
a 164
 
6.3%
g 164
 
6.3%
r 164
 
6.3%
d 123
 
4.8%
w 123
 
4.8%
Other values (12) 738
28.6%
Common
ValueCountFrequency (%)
/ 205
28.1%
. 164
22.5%
_ 82
 
11.2%
= 82
 
11.2%
& 41
 
5.6%
? 41
 
5.6%
: 41
 
5.6%
3 14
 
1.9%
1 13
 
1.8%
2 13
 
1.8%
Other values (7) 33
 
4.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3312
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
s 328
 
9.9%
e 205
 
6.2%
/ 205
 
6.2%
o 205
 
6.2%
b 205
 
6.2%
t 164
 
5.0%
. 164
 
5.0%
a 164
 
5.0%
g 164
 
5.0%
r 164
 
5.0%
Other values (29) 1344
40.6%

Interactions

2024-03-13T14:32:33.797688image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-03-13T14:32:37.118812image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번제목담당부서작성일시자세히 보기
연번1.0001.0000.1600.9711.000
제목1.0001.0001.0001.0001.000
담당부서0.1601.0001.0001.0001.000
작성일시0.9711.0001.0001.0001.000
자세히 보기1.0001.0001.0001.0001.000
2024-03-13T14:32:37.226635image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번담당부서
연번1.0000.080
담당부서0.0801.000

Missing values

2024-03-13T14:32:33.935424image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-13T14:32:34.054619image/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
01도시계획 정책수행 선진지 견학(영국,프랑스,스위스)기획예산실2013-06-13https://www.namdong.go.kr/main/bbs/bbsMsgDetail.do?bcd=overseas_report&msg_seq=1
12선진사회복지서비스 전달체계 및 보건환경 행정체계 전달(호주,뉴질랜드)기획예산실2013-06-13https://www.namdong.go.kr/main/bbs/bbsMsgDetail.do?bcd=overseas_report&msg_seq=2
232012년 공무원 외국어경진대회 수상자 해외연수(홍콩,심천)기획예산실2013-06-13https://www.namdong.go.kr/main/bbs/bbsMsgDetail.do?bcd=overseas_report&msg_seq=3
342013년 해외박람회(광저우 캔톤페어) 참가업체 인솔기획예산실2013-06-13https://www.namdong.go.kr/main/bbs/bbsMsgDetail.do?bcd=overseas_report&msg_seq=4
452013년 러시아,중동 무역사절단 파견 인솔기획예산실2013-06-20https://www.namdong.go.kr/main/bbs/bbsMsgDetail.do?bcd=overseas_report&msg_seq=5
56선진외국 자활지원정책 견학기획예산실2013-09-12https://www.namdong.go.kr/main/bbs/bbsMsgDetail.do?bcd=overseas_report&msg_seq=6
67산불방지관리과정 해외연수기획예산실2013-09-12https://www.namdong.go.kr/main/bbs/bbsMsgDetail.do?bcd=overseas_report&msg_seq=7
782013년 벤쳐투어기획예산실2013-12-18https://www.namdong.go.kr/main/bbs/bbsMsgDetail.do?bcd=overseas_report&msg_seq=8
892013. 친환경제품 보급촉진 정책연수기획예산실2013-12-26https://www.namdong.go.kr/main/bbs/bbsMsgDetail.do?bcd=overseas_report&msg_seq=9
910도로교통개선사업 선진지 견학기획예산실2014-03-10https://www.namdong.go.kr/main/bbs/bbsMsgDetail.do?bcd=overseas_report&msg_seq=10
연번제목담당부서작성일시자세히 보기
31322017년 장기근속공무원 산업시찰 공무국외여행-7차기획예산실2017-06-27https://www.namdong.go.kr/main/bbs/bbsMsgDetail.do?bcd=overseas_report&msg_seq=34
3233「2017년 베트남 국제 유통 및 프랜차이즈 쇼」 지원기획예산실2017-09-18https://www.namdong.go.kr/main/bbs/bbsMsgDetail.do?bcd=overseas_report&msg_seq=35
33342017년 미니클러스터 무역사절단 파견기획예산실2017-09-18https://www.namdong.go.kr/main/bbs/bbsMsgDetail.do?bcd=overseas_report&msg_seq=36
3435중간관리자 양성과정 역사탐방(2기)기획예산실2017-10-16https://www.namdong.go.kr/main/bbs/bbsMsgDetail.do?bcd=overseas_report&msg_seq=37
35362017년 정보화 국외연수 공무국외여행기획예산실2017-11-01https://www.namdong.go.kr/main/bbs/bbsMsgDetail.do?bcd=overseas_report&msg_seq=39
36372018년 선진행정 국외연수(1기)기획예산실2018-06-12https://www.namdong.go.kr/main/bbs/bbsMsgDetail.do?bcd=overseas_report&msg_seq=40
37382018 국외연수보고서(2)기획예산실2019-12-23https://www.namdong.go.kr/main/bbs/bbsMsgDetail.do?bcd=overseas_report&msg_seq=41
38392018 국외연수보고서(3)기획예산실2019-12-23https://www.namdong.go.kr/main/bbs/bbsMsgDetail.do?bcd=overseas_report&msg_seq=42
39402019 국외연수보고서기획예산실2019-12-23https://www.namdong.go.kr/main/bbs/bbsMsgDetail.do?bcd=overseas_report&msg_seq=43
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