Overview

Dataset statistics

Number of variables6
Number of observations23
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.2 KiB
Average record size in memory54.7 B

Variable types

Numeric1
Categorical3
Text2

Dataset

Description인천광역시 중구 내 사회복무요원 복무기관에 관한 정보입니다.파일명 인천광역시 중구 사회복무요원 복무기관 내용 소관부서, 복무분야, 근무지주소 등
Author인천광역시 중구
URLhttps://data.incheon.go.kr/findData/publicDataDetail?dataId=15038695&srcSe=7661IVAWM27C61E190

Alerts

데이터기준일자 has constant value ""Constant
복무분야 is highly overall correlated with 소관부서High correlation
소관부서 is highly overall correlated with 복무분야High correlation
복무분야 is highly imbalanced (74.2%)Imbalance
연번 has unique valuesUnique
복무기관 has unique valuesUnique

Reproduction

Analysis started2024-01-28 12:50:14.548881
Analysis finished2024-01-28 12:50:14.946373
Duration0.4 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

UNIQUE 

Distinct23
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean12
Minimum1
Maximum23
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size339.0 B
2024-01-28T21:50:14.990656image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2.1
Q16.5
median12
Q317.5
95-th percentile21.9
Maximum23
Range22
Interquartile range (IQR)11

Descriptive statistics

Standard deviation6.78233
Coefficient of variation (CV)0.56519417
Kurtosis-1.2
Mean12
Median Absolute Deviation (MAD)6
Skewness0
Sum276
Variance46
MonotonicityStrictly increasing
2024-01-28T21:50:15.092969image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=23)
ValueCountFrequency (%)
1 1
 
4.3%
2 1
 
4.3%
23 1
 
4.3%
22 1
 
4.3%
21 1
 
4.3%
20 1
 
4.3%
19 1
 
4.3%
18 1
 
4.3%
17 1
 
4.3%
16 1
 
4.3%
Other values (13) 13
56.5%
ValueCountFrequency (%)
1 1
4.3%
2 1
4.3%
3 1
4.3%
4 1
4.3%
5 1
4.3%
6 1
4.3%
7 1
4.3%
8 1
4.3%
9 1
4.3%
10 1
4.3%
ValueCountFrequency (%)
23 1
4.3%
22 1
4.3%
21 1
4.3%
20 1
4.3%
19 1
4.3%
18 1
4.3%
17 1
4.3%
16 1
4.3%
15 1
4.3%
14 1
4.3%

소관부서
Categorical

HIGH CORRELATION 

Distinct5
Distinct (%)21.7%
Missing0
Missing (%)0.0%
Memory size316.0 B
어르신장애인과
14 
교육혁신과
4 
복지지원과
3 
중구청
 
1
평생교육과
 
1

Length

Max length7
Median length7
Mean length6.1304348
Min length3

Unique

Unique2 ?
Unique (%)8.7%

Sample

1st row중구청
2nd row교육혁신과
3rd row어르신장애인과
4th row교육혁신과
5th row교육혁신과

Common Values

ValueCountFrequency (%)
어르신장애인과 14
60.9%
교육혁신과 4
 
17.4%
복지지원과 3
 
13.0%
중구청 1
 
4.3%
평생교육과 1
 
4.3%

Length

2024-01-28T21:50:15.211233image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-28T21:50:15.295225image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
어르신장애인과 14
60.9%
교육혁신과 4
 
17.4%
복지지원과 3
 
13.0%
중구청 1
 
4.3%
평생교육과 1
 
4.3%

복무기관
Text

UNIQUE 

Distinct23
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size316.0 B
2024-01-28T21:50:15.442788image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length15
Median length10
Mean length8.5217391
Min length4

Characters and Unicode

Total characters196
Distinct characters83
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique23 ?
Unique (%)100.0%

Sample

1st row안전관리과
2nd row구립연안지역아동센터
3rd row국제공항요양원
4th row그루터기지역아동센터
5th row인천보라매아동센터
ValueCountFrequency (%)
안전관리과 1
 
4.3%
우리들요양원 1
 
4.3%
중구푸드뱅크 1
 
4.3%
성미가엘종합사회복지관 1
 
4.3%
중구청소년상담복지센터 1
 
4.3%
중구장애인보호작업장 1
 
4.3%
중구장애인주간보호센터 1
 
4.3%
중구장애인복지관(영종분관 1
 
4.3%
중구장애인복지관 1
 
4.3%
중구요양원 1
 
4.3%
Other values (13) 13
56.5%
2024-01-28T21:50:15.718212image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
구 11
 
5.6%
원 10
 
5.1%
양 10
 
5.1%
요 10
 
5.1%
중 9
 
4.6%
지 7
 
3.6%
터 7
 
3.6%
센 6
 
3.1%
인 6
 
3.1%
장 5
 
2.6%
Other values (73) 115
58.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 190
96.9%
Space Separator 4
 
2.0%
Open Punctuation 1
 
0.5%
Close Punctuation 1
 
0.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 11
 
5.8%
원 10
 
5.3%
양 10
 
5.3%
요 10
 
5.3%
중 9
 
4.7%
지 7
 
3.7%
터 7
 
3.7%
센 6
 
3.2%
인 6
 
3.2%
장 5
 
2.6%
Other values (70) 109
57.4%
Space Separator
ValueCountFrequency (%)
4
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 190
96.9%
Common 6
 
3.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 11
 
5.8%
원 10
 
5.3%
양 10
 
5.3%
요 10
 
5.3%
중 9
 
4.7%
지 7
 
3.7%
터 7
 
3.7%
센 6
 
3.2%
인 6
 
3.2%
장 5
 
2.6%
Other values (70) 109
57.4%
Common
ValueCountFrequency (%)
4
66.7%
( 1
 
16.7%
) 1
 
16.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 190
96.9%
ASCII 6
 
3.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
구 11
 
5.8%
원 10
 
5.3%
양 10
 
5.3%
요 10
 
5.3%
중 9
 
4.7%
지 7
 
3.7%
터 7
 
3.7%
센 6
 
3.2%
인 6
 
3.2%
장 5
 
2.6%
Other values (70) 109
57.4%
ASCII
ValueCountFrequency (%)
4
66.7%
( 1
 
16.7%
) 1
 
16.7%

근무지주소
Text

Distinct20
Distinct (%)87.0%
Missing0
Missing (%)0.0%
Memory size316.0 B
2024-01-28T21:50:15.910783image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length39
Median length27
Mean length23.826087
Min length16

Characters and Unicode

Total characters548
Distinct characters69
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique18 ?
Unique (%)78.3%

Sample

1st row인천광역시 중구 신포로27번길 80
2nd row인천광역시 중구 축항대로86번길 38 라이프상가3층(항동7가 58-3)
3rd row운중로48번길 21-46(운남동 156-5)
4th row인천광역시 중구 참외전로 24(송월동1가 11-117)
5th row인천광역시 중구 백운로528번길 57(운북동797-1)
ValueCountFrequency (%)
인천광역시 21
20.8%
중구 21
20.8%
송학로 3
 
3.0%
40(내동 3
 
3.0%
3-5 3
 
3.0%
매소홀로 3
 
3.0%
10 3
 
3.0%
인중로 2
 
2.0%
참외전로72번길 2
 
2.0%
1-6(인현동 1
 
1.0%
Other values (39) 39
38.6%
2024-01-28T21:50:16.186258image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
79
 
14.4%
인 25
 
4.6%
중 24
 
4.4%
로 22
 
4.0%
천 22
 
4.0%
시 21
 
3.8%
역 21
 
3.8%
구 21
 
3.8%
광 21
 
3.8%
1 21
 
3.8%
Other values (59) 271
49.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 303
55.3%
Decimal Number 117
 
21.4%
Space Separator 79
 
14.4%
Open Punctuation 16
 
2.9%
Close Punctuation 16
 
2.9%
Dash Punctuation 14
 
2.6%
Other Punctuation 3
 
0.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
인 25
 
8.3%
중 24
 
7.9%
로 22
 
7.3%
천 22
 
7.3%
시 21
 
6.9%
역 21
 
6.9%
구 21
 
6.9%
광 21
 
6.9%
동 18
 
5.9%
번 9
 
3.0%
Other values (44) 99
32.7%
Decimal Number
ValueCountFrequency (%)
1 21
17.9%
5 18
15.4%
0 13
11.1%
7 11
9.4%
8 10
8.5%
2 10
8.5%
4 10
8.5%
6 9
7.7%
3 8
 
6.8%
9 7
 
6.0%
Space Separator
ValueCountFrequency (%)
79
100.0%
Open Punctuation
ValueCountFrequency (%)
( 16
100.0%
Close Punctuation
ValueCountFrequency (%)
) 16
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 14
100.0%
Other Punctuation
ValueCountFrequency (%)
, 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 303
55.3%
Common 245
44.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
인 25
 
8.3%
중 24
 
7.9%
로 22
 
7.3%
천 22
 
7.3%
시 21
 
6.9%
역 21
 
6.9%
구 21
 
6.9%
광 21
 
6.9%
동 18
 
5.9%
번 9
 
3.0%
Other values (44) 99
32.7%
Common
ValueCountFrequency (%)
79
32.2%
1 21
 
8.6%
5 18
 
7.3%
( 16
 
6.5%
) 16
 
6.5%
- 14
 
5.7%
0 13
 
5.3%
7 11
 
4.5%
8 10
 
4.1%
2 10
 
4.1%
Other values (5) 37
15.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 303
55.3%
ASCII 245
44.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
79
32.2%
1 21
 
8.6%
5 18
 
7.3%
( 16
 
6.5%
) 16
 
6.5%
- 14
 
5.7%
0 13
 
5.3%
7 11
 
4.5%
8 10
 
4.1%
2 10
 
4.1%
Other values (5) 37
15.1%
Hangul
ValueCountFrequency (%)
인 25
 
8.3%
중 24
 
7.9%
로 22
 
7.3%
천 22
 
7.3%
시 21
 
6.9%
역 21
 
6.9%
구 21
 
6.9%
광 21
 
6.9%
동 18
 
5.9%
번 9
 
3.0%
Other values (44) 99
32.7%

복무분야
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct2
Distinct (%)8.7%
Missing0
Missing (%)0.0%
Memory size316.0 B
사회복지시설 운영지원
22 
일반행정분야
 
1

Length

Max length11
Median length11
Mean length10.782609
Min length6

Unique

Unique1 ?
Unique (%)4.3%

Sample

1st row일반행정분야
2nd row사회복지시설 운영지원
3rd row사회복지시설 운영지원
4th row사회복지시설 운영지원
5th row사회복지시설 운영지원

Common Values

ValueCountFrequency (%)
사회복지시설 운영지원 22
95.7%
일반행정분야 1
 
4.3%

Length

2024-01-28T21:50:16.299949image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-28T21:50:16.367606image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
사회복지시설 22
48.9%
운영지원 22
48.9%
일반행정분야 1
 
2.2%

데이터기준일자
Categorical

CONSTANT 

Distinct1
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Memory size316.0 B
2023-08-02
23 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2023-08-02
2nd row2023-08-02
3rd row2023-08-02
4th row2023-08-02
5th row2023-08-02

Common Values

ValueCountFrequency (%)
2023-08-02 23
100.0%

Length

2024-01-28T21:50:16.438160image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-28T21:50:16.504803image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2023-08-02 23
100.0%

Interactions

2024-01-28T21:50:14.766122image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-01-28T21:50:16.545595image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번소관부서복무기관근무지주소복무분야
연번1.0000.9031.0000.9900.000
소관부서0.9031.0001.0001.0001.000
복무기관1.0001.0001.0001.0001.000
근무지주소0.9901.0001.0001.0001.000
복무분야0.0001.0001.0001.0001.000
2024-01-28T21:50:16.618178image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
복무분야소관부서
복무분야1.0000.926
소관부서0.9261.000
2024-01-28T21:50:16.677264image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번소관부서복무분야
연번1.0000.4900.000
소관부서0.4901.0000.926
복무분야0.0000.9261.000

Missing values

2024-01-28T21:50:14.839336image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-01-28T21:50:14.914690image/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

연번소관부서복무기관근무지주소복무분야데이터기준일자
01중구청안전관리과인천광역시 중구 신포로27번길 80일반행정분야2023-08-02
12교육혁신과구립연안지역아동센터인천광역시 중구 축항대로86번길 38 라이프상가3층(항동7가 58-3)사회복지시설 운영지원2023-08-02
23어르신장애인과국제공항요양원운중로48번길 21-46(운남동 156-5)사회복지시설 운영지원2023-08-02
34교육혁신과그루터기지역아동센터인천광역시 중구 참외전로 24(송월동1가 11-117)사회복지시설 운영지원2023-08-02
45교육혁신과인천보라매아동센터인천광역시 중구 백운로528번길 57(운북동797-1)사회복지시설 운영지원2023-08-02
56교육혁신과월디지역아동센터인천광역시 중구 참외전로72번길 25(전동 2-1)사회복지시설 운영지원2023-08-02
67어르신장애인과성모시니어요양원인천광역시 중구 제물량로 159(신생동 8-9)사회복지시설 운영지원2023-08-02
78어르신장애인과예봄요양원인천광역시 중구 내동 194번지사회복지시설 운영지원2023-08-02
89어르신장애인과수요양원인천광역시 중구 큰우물로 16(용동 87)사회복지시설 운영지원2023-08-02
910어르신장애인과가족같은효성요양원인천광역시 중구 연안부두로55번길 5(항동7가58-155)사회복지시설 운영지원2023-08-02
연번소관부서복무기관근무지주소복무분야데이터기준일자
1314어르신장애인과중구구립해송노인요양원인천광역시 중구 백운로494(운북동)사회복지시설 운영지원2023-08-02
1415어르신장애인과중구요양원인천광역시 중구 인중로 96, 301호사회복지시설 운영지원2023-08-02
1516어르신장애인과중구장애인복지관인천광역시 중구 매소홀로 10사회복지시설 운영지원2023-08-02
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