Overview

Dataset statistics

Number of variables7
Number of observations22
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.4 KiB
Average record size in memory63.0 B

Variable types

Numeric1
Text1
Categorical5

Dataset

Description인천광역시 중구에서 실시하게 되는 민방위교육일정에 대한 데이터 입니다.파일명 인천광역시_중구_민방위교육일정파일내용 지역, 교육대상, 교육일시, 시간 등
Author인천광역시 중구
URLhttps://data.incheon.go.kr/findData/publicDataDetail?dataId=15087249&srcSe=7661IVAWM27C61E190

Alerts

교육일시 has constant value ""Constant
교육시간 has constant value ""Constant
데이터기준일자 has constant value ""Constant
교육장소 is highly overall correlated with 연번 and 1 other fieldsHigh correlation
교육대상 is highly overall correlated with 연번 and 1 other fieldsHigh correlation
연번 is highly overall correlated with 교육대상 and 1 other fieldsHigh correlation
연번 has unique valuesUnique

Reproduction

Analysis started2024-03-18 04:45:24.801941
Analysis finished2024-03-18 04:45:26.456162
Duration1.65 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct22
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean12
Minimum1
Maximum23
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size330.0 B
2024-03-18T13:45:26.529124image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2.05
Q16.25
median12
Q317.75
95-th percentile21.95
Maximum23
Range22
Interquartile range (IQR)11.5

Descriptive statistics

Standard deviation6.9419361
Coefficient of variation (CV)0.57849467
Kurtosis-1.2986842
Mean12
Median Absolute Deviation (MAD)6
Skewness0
Sum264
Variance48.190476
MonotonicityStrictly increasing
2024-03-18T13:45:26.623191image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=22)
ValueCountFrequency (%)
1 1
 
4.5%
14 1
 
4.5%
23 1
 
4.5%
22 1
 
4.5%
21 1
 
4.5%
20 1
 
4.5%
19 1
 
4.5%
18 1
 
4.5%
17 1
 
4.5%
16 1
 
4.5%
Other values (12) 12
54.5%
ValueCountFrequency (%)
1 1
4.5%
2 1
4.5%
3 1
4.5%
4 1
4.5%
5 1
4.5%
6 1
4.5%
7 1
4.5%
8 1
4.5%
9 1
4.5%
10 1
4.5%
ValueCountFrequency (%)
23 1
4.5%
22 1
4.5%
21 1
4.5%
20 1
4.5%
19 1
4.5%
18 1
4.5%
17 1
4.5%
16 1
4.5%
15 1
4.5%
14 1
4.5%

지역
Text

Distinct11
Distinct (%)50.0%
Missing0
Missing (%)0.0%
Memory size308.0 B
2024-03-18T13:45:26.758479image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length4
Median length3
Mean length3.1818182
Min length3

Characters and Unicode

Total characters70
Distinct characters21
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row연안동
2nd row신포동
3rd row신흥동
4th row도원동
5th row율목동
ValueCountFrequency (%)
연안동 2
9.1%
신포동 2
9.1%
신흥동 2
9.1%
도원동 2
9.1%
율목동 2
9.1%
동인천동 2
9.1%
개항동 2
9.1%
영종동 2
9.1%
용유동 2
9.1%
운서동 2
9.1%
2024-03-18T13:45:26.985826image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
동 24
34.3%
신 4
 
5.7%
종 4
 
5.7%
영 4
 
5.7%
연 2
 
2.9%
개 2
 
2.9%
서 2
 
2.9%
운 2
 
2.9%
유 2
 
2.9%
용 2
 
2.9%
Other values (11) 22
31.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 68
97.1%
Decimal Number 2
 
2.9%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 24
35.3%
신 4
 
5.9%
종 4
 
5.9%
영 4
 
5.9%
연 2
 
2.9%
개 2
 
2.9%
서 2
 
2.9%
운 2
 
2.9%
유 2
 
2.9%
용 2
 
2.9%
Other values (10) 20
29.4%
Decimal Number
ValueCountFrequency (%)
1 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 68
97.1%
Common 2
 
2.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 24
35.3%
신 4
 
5.9%
종 4
 
5.9%
영 4
 
5.9%
연 2
 
2.9%
개 2
 
2.9%
서 2
 
2.9%
운 2
 
2.9%
유 2
 
2.9%
용 2
 
2.9%
Other values (10) 20
29.4%
Common
ValueCountFrequency (%)
1 2
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 68
97.1%
ASCII 2
 
2.9%

Most frequent character per block

Hangul
ValueCountFrequency (%)
동 24
35.3%
신 4
 
5.9%
종 4
 
5.9%
영 4
 
5.9%
연 2
 
2.9%
개 2
 
2.9%
서 2
 
2.9%
운 2
 
2.9%
유 2
 
2.9%
용 2
 
2.9%
Other values (10) 20
29.4%
ASCII
ValueCountFrequency (%)
1 2
100.0%

교육대상
Categorical

HIGH CORRELATION 

Distinct2
Distinct (%)9.1%
Missing0
Missing (%)0.0%
Memory size308.0 B
1~2년차대원
11 
민방위대편입 3년차 이상
11 

Length

Max length13
Median length10
Mean length10
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1~2년차대원
2nd row1~2년차대원
3rd row1~2년차대원
4th row1~2년차대원
5th row1~2년차대원

Common Values

ValueCountFrequency (%)
1~2년차대원 11
50.0%
민방위대편입 3년차 이상 11
50.0%

Length

2024-03-18T13:45:27.092397image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-18T13:45:27.179891image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1~2년차대원 11
25.0%
민방위대편입 11
25.0%
3년차 11
25.0%
이상 11
25.0%

교육일시
Categorical

CONSTANT 

Distinct1
Distinct (%)4.5%
Missing0
Missing (%)0.0%
Memory size308.0 B
보충 1차 2023-09-01 ~ 2023-10-15보충 2차 2023-11-01 ~ 2023-11-30
22 

Length

Max length58
Median length58
Mean length58
Min length58

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row보충 1차 2023-09-01 ~ 2023-10-15보충 2차 2023-11-01 ~ 2023-11-30
2nd row보충 1차 2023-09-01 ~ 2023-10-15보충 2차 2023-11-01 ~ 2023-11-30
3rd row보충 1차 2023-09-01 ~ 2023-10-15보충 2차 2023-11-01 ~ 2023-11-30
4th row보충 1차 2023-09-01 ~ 2023-10-15보충 2차 2023-11-01 ~ 2023-11-30
5th row보충 1차 2023-09-01 ~ 2023-10-15보충 2차 2023-11-01 ~ 2023-11-30

Common Values

ValueCountFrequency (%)
보충 1차 2023-09-01 ~ 2023-10-15보충 2차 2023-11-01 ~ 2023-11-30 22
100.0%

Length

2024-03-18T13:45:27.259969image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-18T13:45:27.331799image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
44
22.2%
보충 22
11.1%
1차 22
11.1%
2023-09-01 22
11.1%
2023-10-15보충 22
11.1%
2차 22
11.1%
2023-11-01 22
11.1%
2023-11-30 22
11.1%

교육시간
Categorical

CONSTANT 

Distinct1
Distinct (%)4.5%
Missing0
Missing (%)0.0%
Memory size308.0 B
00:00~23:59
22 

Length

Max length11
Median length11
Mean length11
Min length11

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row00:00~23:59
2nd row00:00~23:59
3rd row00:00~23:59
4th row00:00~23:59
5th row00:00~23:59

Common Values

ValueCountFrequency (%)
00:00~23:59 22
100.0%

Length

2024-03-18T13:45:27.406608image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-18T13:45:27.478402image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
00:00~23:59 22
100.0%

교육장소
Categorical

HIGH CORRELATION 

Distinct3
Distinct (%)13.6%
Missing0
Missing (%)0.0%
Memory size308.0 B
사이버민방위
11 
중구 민방위 교육장
7 
영종 하늘문화센터
4 

Length

Max length10
Median length9.5
Mean length7.8181818
Min length6

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row중구 민방위 교육장
2nd row중구 민방위 교육장
3rd row중구 민방위 교육장
4th row중구 민방위 교육장
5th row중구 민방위 교육장

Common Values

ValueCountFrequency (%)
사이버민방위 11
50.0%
중구 민방위 교육장 7
31.8%
영종 하늘문화센터 4
 
18.2%

Length

2024-03-18T13:45:27.562450image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-18T13:45:27.684911image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
사이버민방위 11
27.5%
중구 7
17.5%
민방위 7
17.5%
교육장 7
17.5%
영종 4
 
10.0%
하늘문화센터 4
 
10.0%

데이터기준일자
Categorical

CONSTANT 

Distinct1
Distinct (%)4.5%
Missing0
Missing (%)0.0%
Memory size308.0 B
2023-08-29
22 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2023-08-29
2nd row2023-08-29
3rd row2023-08-29
4th row2023-08-29
5th row2023-08-29

Common Values

ValueCountFrequency (%)
2023-08-29 22
100.0%

Length

2024-03-18T13:45:27.795194image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-18T13:45:27.874200image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2023-08-29 22
100.0%

Interactions

2024-03-18T13:45:26.166464image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-03-18T13:45:27.926937image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번지역교육대상교육장소
연번1.0000.0001.0001.000
지역0.0001.0000.0000.000
교육대상1.0000.0001.0001.000
교육장소1.0000.0001.0001.000
2024-03-18T13:45:28.006956image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
교육장소교육대상
교육장소1.0000.975
교육대상0.9751.000
2024-03-18T13:45:28.070580image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번교육대상교육장소
연번1.0000.7750.795
교육대상0.7751.0000.975
교육장소0.7950.9751.000

Missing values

2024-03-18T13:45:26.292763image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-18T13:45:26.405947image/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

연번지역교육대상교육일시교육시간교육장소데이터기준일자
01연안동1~2년차대원보충 1차 2023-09-01 ~ 2023-10-15보충 2차 2023-11-01 ~ 2023-11-3000:00~23:59중구 민방위 교육장2023-08-29
12신포동1~2년차대원보충 1차 2023-09-01 ~ 2023-10-15보충 2차 2023-11-01 ~ 2023-11-3000:00~23:59중구 민방위 교육장2023-08-29
23신흥동1~2년차대원보충 1차 2023-09-01 ~ 2023-10-15보충 2차 2023-11-01 ~ 2023-11-3000:00~23:59중구 민방위 교육장2023-08-29
34도원동1~2년차대원보충 1차 2023-09-01 ~ 2023-10-15보충 2차 2023-11-01 ~ 2023-11-3000:00~23:59중구 민방위 교육장2023-08-29
45율목동1~2년차대원보충 1차 2023-09-01 ~ 2023-10-15보충 2차 2023-11-01 ~ 2023-11-3000:00~23:59중구 민방위 교육장2023-08-29
56동인천동1~2년차대원보충 1차 2023-09-01 ~ 2023-10-15보충 2차 2023-11-01 ~ 2023-11-3000:00~23:59중구 민방위 교육장2023-08-29
67개항동1~2년차대원보충 1차 2023-09-01 ~ 2023-10-15보충 2차 2023-11-01 ~ 2023-11-3000:00~23:59중구 민방위 교육장2023-08-29
78영종동1~2년차대원보충 1차 2023-09-01 ~ 2023-10-15보충 2차 2023-11-01 ~ 2023-11-3000:00~23:59영종 하늘문화센터2023-08-29
89용유동1~2년차대원보충 1차 2023-09-01 ~ 2023-10-15보충 2차 2023-11-01 ~ 2023-11-3000:00~23:59영종 하늘문화센터2023-08-29
910운서동1~2년차대원보충 1차 2023-09-01 ~ 2023-10-15보충 2차 2023-11-01 ~ 2023-11-3000:00~23:59영종 하늘문화센터2023-08-29
연번지역교육대상교육일시교육시간교육장소데이터기준일자
1214신포동민방위대편입 3년차 이상보충 1차 2023-09-01 ~ 2023-10-15보충 2차 2023-11-01 ~ 2023-11-3000:00~23:59사이버민방위2023-08-29
1315신흥동민방위대편입 3년차 이상보충 1차 2023-09-01 ~ 2023-10-15보충 2차 2023-11-01 ~ 2023-11-3000:00~23:59사이버민방위2023-08-29
1416도원동민방위대편입 3년차 이상보충 1차 2023-09-01 ~ 2023-10-15보충 2차 2023-11-01 ~ 2023-11-3000:00~23:59사이버민방위2023-08-29
1517율목동민방위대편입 3년차 이상보충 1차 2023-09-01 ~ 2023-10-15보충 2차 2023-11-01 ~ 2023-11-3000:00~23:59사이버민방위2023-08-29
1618동인천동민방위대편입 3년차 이상보충 1차 2023-09-01 ~ 2023-10-15보충 2차 2023-11-01 ~ 2023-11-3000:00~23:59사이버민방위2023-08-29
1719개항동민방위대편입 3년차 이상보충 1차 2023-09-01 ~ 2023-10-15보충 2차 2023-11-01 ~ 2023-11-3000:00~23:59사이버민방위2023-08-29
1820영종동민방위대편입 3년차 이상보충 1차 2023-09-01 ~ 2023-10-15보충 2차 2023-11-01 ~ 2023-11-3000:00~23:59사이버민방위2023-08-29
1921용유동민방위대편입 3년차 이상보충 1차 2023-09-01 ~ 2023-10-15보충 2차 2023-11-01 ~ 2023-11-3000:00~23:59사이버민방위2023-08-29
2022운서동민방위대편입 3년차 이상보충 1차 2023-09-01 ~ 2023-10-15보충 2차 2023-11-01 ~ 2023-11-3000:00~23:59사이버민방위2023-08-29
2123영종1동민방위대편입 3년차 이상보충 1차 2023-09-01 ~ 2023-10-15보충 2차 2023-11-01 ~ 2023-11-3000:00~23:59사이버민방위2023-08-29