Overview

Dataset statistics

Number of variables4
Number of observations180
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory5.9 KiB
Average record size in memory33.7 B

Variable types

Categorical3
Numeric1

Dataset

Description경상남도 양산시에 등록된 장애인 현황입니다. 지체, 시각, 청각, 언어, 지적, 뇌병변,자폐성, 정신, 신장, 심장, 호흡기,간, 안면, 장루, 뇌전증 등 읍면동 현황을 확인할 수 있습니다.
Author경상남도 양산시
URLhttps://bigdata.gyeongnam.go.kr/index.gn?menuCd=DOM_000000114002001000&publicdatapk=3065866

Alerts

인원수 has 60 (33.3%) zerosZeros

Reproduction

Analysis started2023-12-22 21:56:38.683264
Analysis finished2023-12-22 21:56:45.378403
Duration6.7 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

장애유형
Categorical

Distinct15
Distinct (%)8.3%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
지 체
 
12
뇌병변
 
12
시각
 
12
청각
 
12
언어
 
12
Other values (10)
120 

Length

Max length5
Median length2
Mean length2.4666667
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row지 체
2nd row지 체
3rd row지 체
4th row지 체
5th row지 체

Common Values

ValueCountFrequency (%)
지 체 12
 
6.7%
뇌병변 12
 
6.7%
시각 12
 
6.7%
청각 12
 
6.7%
언어 12
 
6.7%
지적 12
 
6.7%
자폐성 12
 
6.7%
정신 12
 
6.7%
신장 12
 
6.7%
심장 12
 
6.7%
Other values (5) 60
33.3%

Length

2023-12-22T21:56:45.705967image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
지 12
 
6.2%
체 12
 
6.2%
뇌병변 12
 
6.2%
시각 12
 
6.2%
청각 12
 
6.2%
언어 12
 
6.2%
지적 12
 
6.2%
자폐성 12
 
6.2%
정신 12
 
6.2%
신장 12
 
6.2%
Other values (6) 72
37.5%

성별
Categorical

Distinct2
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
남
90 
여
90 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
남 90
50.0%
여 90
50.0%

Length

2023-12-22T21:56:46.221513image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-22T21:56:46.640587image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
남 90
50.0%
여 90
50.0%

장애등급
Categorical

Distinct6
Distinct (%)3.3%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
1급
30 
2급
30 
3급
30 
4급
30 
5급
30 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1급
2nd row2급
3rd row3급
4th row4급
5th row5급

Common Values

ValueCountFrequency (%)
1급 30
16.7%
2급 30
16.7%
3급 30
16.7%
4급 30
16.7%
5급 30
16.7%
6급 30
16.7%

Length

2023-12-22T21:56:47.016535image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-22T21:56:47.367965image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1급 30
16.7%
2급 30
16.7%
3급 30
16.7%
4급 30
16.7%
5급 30
16.7%
6급 30
16.7%

인원수
Real number (ℝ)

ZEROS 

Distinct77
Distinct (%)42.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean71.077778
Minimum0
Maximum1368
Zeros60
Zeros (%)33.3%
Negative0
Negative (%)0.0%
Memory size1.7 KiB
2023-12-22T21:56:47.756588image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median5
Q366.5
95-th percentile248.05
Maximum1368
Range1368
Interquartile range (IQR)66.5

Descriptive statistics

Standard deviation174.89404
Coefficient of variation (CV)2.4606009
Kurtosis24.087196
Mean71.077778
Median Absolute Deviation (MAD)5
Skewness4.5001607
Sum12794
Variance30587.927
MonotonicityNot monotonic
2023-12-22T21:56:48.197584image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 60
33.3%
1 15
 
8.3%
5 5
 
2.8%
3 5
 
2.8%
2 4
 
2.2%
6 4
 
2.2%
31 3
 
1.7%
11 3
 
1.7%
4 3
 
1.7%
10 3
 
1.7%
Other values (67) 75
41.7%
ValueCountFrequency (%)
0 60
33.3%
1 15
 
8.3%
2 4
 
2.2%
3 5
 
2.8%
4 3
 
1.7%
5 5
 
2.8%
6 4
 
2.2%
7 1
 
0.6%
8 1
 
0.6%
9 1
 
0.6%
ValueCountFrequency (%)
1368 1
0.6%
1018 1
0.6%
798 1
0.6%
697 1
0.6%
640 1
0.6%
616 1
0.6%
592 1
0.6%
552 1
0.6%
306 1
0.6%
245 1
0.6%

Interactions

2023-12-22T21:56:44.359779image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-22T21:56:48.467112image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
장애유형성별장애등급인원수
장애유형1.0000.0000.0000.522
성별0.0001.0000.0000.098
장애등급0.0000.0001.0000.123
인원수0.5220.0980.1231.000
2023-12-22T21:56:48.720318image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
장애등급성별장애유형
장애등급1.0000.0000.000
성별0.0001.0000.000
장애유형0.0000.0001.000
2023-12-22T21:56:48.926547image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
인원수장애유형성별장애등급
인원수1.0000.2600.1020.072
장애유형0.2601.0000.0000.000
성별0.1020.0001.0000.000
장애등급0.0720.0000.0001.000

Missing values

2023-12-22T21:56:44.953779image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-22T21:56:45.218115image/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

장애유형성별장애등급인원수
0지 체남1급125
1지 체남2급212
2지 체남3급616
3지 체남4급640
4지 체남5급1018
5지 체남6급1368
6지 체여1급63
7지 체여2급112
8지 체여3급223
9지 체여4급552
장애유형성별장애등급인원수
170간질남3급6
171간질남4급11
172간질남5급2
173간질남6급0
174간질여1급0
175간질여2급0
176간질여3급5
177간질여4급5
178간질여5급1
179간질여6급0