Overview

Dataset statistics

Number of variables20
Number of observations22
Missing cells22
Missing cells (%)5.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory4.0 KiB
Average record size in memory184.0 B

Variable types

Text1
Categorical18
Unsupported1

Dataset

Description인천광역시 군구별 소년·소녀가장현황 (성별, 나이, 주거형태 등)의 항목을 제공하는 데이터로 구성되어 있습니다.
Author인천광역시
URLhttps://data.incheon.go.kr/findData/publicDataDetail?dataId=15065149&srcSe=7661IVAWM27C61E190

Alerts

여 has constant value ""Constant
5세이하 has constant value ""Constant
6-11세 has constant value ""Constant
12-14세 has constant value ""Constant
15-17세 has constant value ""Constant
21세이상 has constant value ""Constant
미취학자 has constant value ""Constant
초등재 has constant value ""Constant
중재 has constant value ""Constant
자가 has constant value ""Constant
월세 has constant value ""Constant
친지 has constant value ""Constant
정부지원주거 has constant value ""Constant
남 is highly overall correlated with 18-20세 and 2 other fieldsHigh correlation
18-20세 is highly overall correlated with 남 and 2 other fieldsHigh correlation
고재 is highly overall correlated with 남 and 2 other fieldsHigh correlation
전세 is highly overall correlated with 남 and 2 other fieldsHigh correlation
기타 has 22 (100.0%) missing valuesMissing
기타 is an unsupported type, check if it needs cleaning or further analysisUnsupported

Reproduction

Analysis started2024-03-18 05:39:01.080046
Analysis finished2024-03-18 05:39:02.032507
Duration0.95 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

구분
Text

Distinct11
Distinct (%)50.0%
Missing0
Missing (%)0.0%
Memory size308.0 B
2024-03-18T14:39:02.125010image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length4
Median length3
Mean length2.8181818
Min length2

Characters and Unicode

Total characters62
Distinct characters22
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
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 row인천시
2nd row인천시
3rd row중구
4th row중구
5th row동구
ValueCountFrequency (%)
인천시 2
9.1%
중구 2
9.1%
동구 2
9.1%
미추홀구 2
9.1%
연수구 2
9.1%
남동구 2
9.1%
부평구 2
9.1%
계양구 2
9.1%
서구 2
9.1%
강화군 2
9.1%
2024-03-18T14:39:02.392209image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
구 16
25.8%
군 4
 
6.5%
동 4
 
6.5%
인 2
 
3.2%
부 2
 
3.2%
옹 2
 
3.2%
화 2
 
3.2%
강 2
 
3.2%
서 2
 
3.2%
양 2
 
3.2%
Other values (12) 24
38.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 62
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 16
25.8%
군 4
 
6.5%
동 4
 
6.5%
인 2
 
3.2%
부 2
 
3.2%
옹 2
 
3.2%
화 2
 
3.2%
강 2
 
3.2%
서 2
 
3.2%
양 2
 
3.2%
Other values (12) 24
38.7%

Most occurring scripts

ValueCountFrequency (%)
Hangul 62
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 16
25.8%
군 4
 
6.5%
동 4
 
6.5%
인 2
 
3.2%
부 2
 
3.2%
옹 2
 
3.2%
화 2
 
3.2%
강 2
 
3.2%
서 2
 
3.2%
양 2
 
3.2%
Other values (12) 24
38.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 62
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
구 16
25.8%
군 4
 
6.5%
동 4
 
6.5%
인 2
 
3.2%
부 2
 
3.2%
옹 2
 
3.2%
화 2
 
3.2%
강 2
 
3.2%
서 2
 
3.2%
양 2
 
3.2%
Other values (12) 24
38.7%

세대구분
Categorical

Distinct2
Distinct (%)9.1%
Missing0
Missing (%)0.0%
Memory size308.0 B
세대주
11 
세대원
11 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row세대주
2nd row세대원
3rd row세대주
4th row세대원
5th row세대주

Common Values

ValueCountFrequency (%)
세대주 11
50.0%
세대원 11
50.0%

Length

2024-03-18T14:39:02.497878image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-18T14:39:02.585650image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
세대주 11
50.0%
세대원 11
50.0%

남
Categorical

HIGH CORRELATION 

Distinct2
Distinct (%)9.1%
Missing0
Missing (%)0.0%
Memory size308.0 B
0
18 
1
4 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1
2nd row1
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 18
81.8%
1 4
 
18.2%

Length

2024-03-18T14:39:02.696473image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-18T14:39:02.790039image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 18
81.8%
1 4
 
18.2%

여
Categorical

CONSTANT 

Distinct1
Distinct (%)4.5%
Missing0
Missing (%)0.0%
Memory size308.0 B
0
22 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 22
100.0%

Length

2024-03-18T14:39:02.898918image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-18T14:39:03.011782image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 22
100.0%

5세이하
Categorical

CONSTANT 

Distinct1
Distinct (%)4.5%
Missing0
Missing (%)0.0%
Memory size308.0 B
0
22 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 22
100.0%

Length

2024-03-18T14:39:03.098592image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-18T14:39:03.179363image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 22
100.0%

6-11세
Categorical

CONSTANT 

Distinct1
Distinct (%)4.5%
Missing0
Missing (%)0.0%
Memory size308.0 B
0
22 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 22
100.0%

Length

2024-03-18T14:39:03.268462image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-18T14:39:03.359424image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 22
100.0%

12-14세
Categorical

CONSTANT 

Distinct1
Distinct (%)4.5%
Missing0
Missing (%)0.0%
Memory size308.0 B
0
22 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 22
100.0%

Length

2024-03-18T14:39:03.465440image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-18T14:39:03.558399image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 22
100.0%

15-17세
Categorical

CONSTANT 

Distinct1
Distinct (%)4.5%
Missing0
Missing (%)0.0%
Memory size308.0 B
0
22 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 22
100.0%

Length

2024-03-18T14:39:03.665643image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-18T14:39:03.748549image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 22
100.0%

18-20세
Categorical

HIGH CORRELATION 

Distinct2
Distinct (%)9.1%
Missing0
Missing (%)0.0%
Memory size308.0 B
0
18 
1
4 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1
2nd row1
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 18
81.8%
1 4
 
18.2%

Length

2024-03-18T14:39:03.856869image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-18T14:39:03.959860image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 18
81.8%
1 4
 
18.2%

21세이상
Categorical

CONSTANT 

Distinct1
Distinct (%)4.5%
Missing0
Missing (%)0.0%
Memory size308.0 B
0
22 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 22
100.0%

Length

2024-03-18T14:39:04.092478image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-18T14:39:04.190264image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 22
100.0%

미취학자
Categorical

CONSTANT 

Distinct1
Distinct (%)4.5%
Missing0
Missing (%)0.0%
Memory size308.0 B
0
22 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 22
100.0%

Length

2024-03-18T14:39:04.281189image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-18T14:39:04.372334image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 22
100.0%

초등재
Categorical

CONSTANT 

Distinct1
Distinct (%)4.5%
Missing0
Missing (%)0.0%
Memory size308.0 B
0
22 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 22
100.0%

Length

2024-03-18T14:39:04.463877image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-18T14:39:04.549770image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 22
100.0%

중재
Categorical

CONSTANT 

Distinct1
Distinct (%)4.5%
Missing0
Missing (%)0.0%
Memory size308.0 B
0
22 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 22
100.0%

Length

2024-03-18T14:39:04.632429image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-18T14:39:04.719679image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 22
100.0%

고재
Categorical

HIGH CORRELATION 

Distinct2
Distinct (%)9.1%
Missing0
Missing (%)0.0%
Memory size308.0 B
0
18 
1
4 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1
2nd row1
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 18
81.8%
1 4
 
18.2%

Length

2024-03-18T14:39:04.811661image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-18T14:39:04.928464image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 18
81.8%
1 4
 
18.2%

자가
Categorical

CONSTANT 

Distinct1
Distinct (%)4.5%
Missing0
Missing (%)0.0%
Memory size308.0 B
0
22 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 22
100.0%

Length

2024-03-18T14:39:05.035229image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-18T14:39:05.180113image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 22
100.0%

전세
Categorical

HIGH CORRELATION 

Distinct2
Distinct (%)9.1%
Missing0
Missing (%)0.0%
Memory size308.0 B
0
18 
1
4 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1
2nd row1
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 18
81.8%
1 4
 
18.2%

Length

2024-03-18T14:39:05.269121image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-18T14:39:05.353085image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 18
81.8%
1 4
 
18.2%

월세
Categorical

CONSTANT 

Distinct1
Distinct (%)4.5%
Missing0
Missing (%)0.0%
Memory size308.0 B
0
22 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 22
100.0%

Length

2024-03-18T14:39:05.457062image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-18T14:39:05.553182image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 22
100.0%

친지
Categorical

CONSTANT 

Distinct1
Distinct (%)4.5%
Missing0
Missing (%)0.0%
Memory size308.0 B
0
22 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 22
100.0%

Length

2024-03-18T14:39:05.646153image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-18T14:39:05.738763image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 22
100.0%

정부지원주거
Categorical

CONSTANT 

Distinct1
Distinct (%)4.5%
Missing0
Missing (%)0.0%
Memory size308.0 B
0
22 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 22
100.0%

Length

2024-03-18T14:39:05.836594image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-18T14:39:05.938197image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 22
100.0%

기타
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing22
Missing (%)100.0%
Memory size330.0 B

Correlations

2024-03-18T14:39:05.999924image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
구분세대구분남18-20세고재전세
구분1.0000.0001.0001.0001.0001.000
세대구분0.0001.0000.0000.0000.0000.000
남1.0000.0001.0000.9680.9680.968
18-20세1.0000.0000.9681.0000.9680.968
고재1.0000.0000.9680.9681.0000.968
전세1.0000.0000.9680.9680.9681.000
2024-03-18T14:39:06.111306image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
남고재세대구분전세18-20세
남1.0000.8390.0000.8390.839
고재0.8391.0000.0000.8390.839
세대구분0.0000.0001.0000.0000.000
전세0.8390.8390.0001.0000.839
18-20세0.8390.8390.0000.8391.000
2024-03-18T14:39:06.250006image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
세대구분남18-20세고재전세
세대구분1.0000.0000.0000.0000.000
남0.0001.0000.8390.8390.839
18-20세0.0000.8391.0000.8390.839
고재0.0000.8390.8391.0000.839
전세0.0000.8390.8390.8391.000

Missing values

2024-03-18T14:39:01.681557image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-18T14:39:01.950195image/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

구분세대구분남여5세이하6-11세12-14세15-17세18-20세21세이상미취학자초등재중재고재자가전세월세친지정부지원주거기타
0인천시세대주10000010000101000<NA>
1인천시세대원10000010000101000<NA>
2중구세대주00000000000000000<NA>
3중구세대원00000000000000000<NA>
4동구세대주00000000000000000<NA>
5동구세대원00000000000000000<NA>
6미추홀구세대주00000000000000000<NA>
7미추홀구세대원00000000000000000<NA>
8연수구세대주00000000000000000<NA>
9연수구세대원00000000000000000<NA>
구분세대구분남여5세이하6-11세12-14세15-17세18-20세21세이상미취학자초등재중재고재자가전세월세친지정부지원주거기타
12부평구세대주00000000000000000<NA>
13부평구세대원00000000000000000<NA>
14계양구세대주00000000000000000<NA>
15계양구세대원00000000000000000<NA>
16서구세대주00000000000000000<NA>
17서구세대원00000000000000000<NA>
18강화군세대주00000000000000000<NA>
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