Overview

Dataset statistics

Number of variables8
Number of observations115
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory8.0 KiB
Average record size in memory71.1 B

Variable types

Categorical4
Numeric4

Dataset

Description경기도 양주시 장애수당 지급현황에 대한 데이터로, 읍면동별, 장애유형별, 정도별, 성별 현황 등의 항목을 제공합니다.
URLhttps://www.data.go.kr/data/15038978/fileData.do

Alerts

경증_심한 장애_남 is highly overall correlated with 경증_심한 장애_여High correlation
경증_심한 장애_여 is highly overall correlated with 경증_심한 장애_남High correlation
경증_심하지 않은 장애_남 is highly overall correlated with 경증_심하지 않은 장애_여High correlation
경증_심하지 않은 장애_여 is highly overall correlated with 경증_심하지 않은 장애_남High correlation
중증_심한 장애_남 is highly imbalanced (87.3%)Imbalance
중증_심한 장애_여 is highly imbalanced (82.6%)Imbalance
경증_심한 장애_남 has 49 (42.6%) zerosZeros
경증_심한 장애_여 has 46 (40.0%) zerosZeros
경증_심하지 않은 장애_남 has 51 (44.3%) zerosZeros
경증_심하지 않은 장애_여 has 55 (47.8%) zerosZeros

Reproduction

Analysis started2023-12-12 22:26:00.845047
Analysis finished2023-12-12 22:26:03.152523
Duration2.31 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

읍면동
Categorical

Distinct12
Distinct (%)10.4%
Missing0
Missing (%)0.0%
Memory size1.0 KiB
회천4동
13 
백석읍
12 
회천2동
12 
광적면
11 
양주2동
11 
Other values (7)
56 

Length

Max length4
Median length4
Mean length3.4782609
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row양주시
2nd row양주시
3rd row양주시
4th row백석읍
5th row백석읍

Common Values

ValueCountFrequency (%)
회천4동 13
11.3%
백석읍 12
10.4%
회천2동 12
10.4%
광적면 11
9.6%
양주2동 11
9.6%
은현면 9
7.8%
장흥면 9
7.8%
양주1동 9
7.8%
회천1동 9
7.8%
회천3동 9
7.8%
Other values (2) 11
9.6%

Length

2023-12-13T07:26:03.218961image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
회천4동 13
11.3%
백석읍 12
10.4%
회천2동 12
10.4%
광적면 11
9.6%
양주2동 11
9.6%
은현면 9
7.8%
장흥면 9
7.8%
양주1동 9
7.8%
회천1동 9
7.8%
회천3동 9
7.8%
Other values (2) 11
9.6%

장애유형
Categorical

Distinct14
Distinct (%)12.2%
Missing0
Missing (%)0.0%
Memory size1.0 KiB
지체
12 
청각
12 
뇌병변
12 
시각
11 
지적
11 
Other values (9)
57 

Length

Max length5
Median length2
Mean length2.4086957
Min length1

Unique

Unique1 ?
Unique (%)0.9%

Sample

1st row지체
2nd row청각
3rd row뇌병변
4th row지체
5th row시각

Common Values

ValueCountFrequency (%)
지체 12
10.4%
청각 12
10.4%
뇌병변 12
10.4%
시각 11
9.6%
지적 11
9.6%
정신 11
9.6%
언어 10
8.7%
장루.요루 10
8.7%
뇌전증 7
6.1%
간 6
5.2%
Other values (4) 13
11.3%

Length

2023-12-13T07:26:03.349423image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
지체 12
10.4%
청각 12
10.4%
뇌병변 12
10.4%
시각 11
9.6%
지적 11
9.6%
정신 11
9.6%
언어 10
8.7%
장루.요루 10
8.7%
뇌전증 7
6.1%
간 6
5.2%
Other values (4) 13
11.3%

중증_심한 장애_남
Categorical

IMBALANCE 

Distinct2
Distinct (%)1.7%
Missing0
Missing (%)0.0%
Memory size1.0 KiB
0
113 
1
 
2

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 (%)
0 113
98.3%
1 2
 
1.7%

Length

2023-12-13T07:26:03.482099image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T07:26:03.576435image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 113
98.3%
1 2
 
1.7%

중증_심한 장애_여
Categorical

IMBALANCE 

Distinct2
Distinct (%)1.7%
Missing0
Missing (%)0.0%
Memory size1.0 KiB
0
112 
1
 
3

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 (%)
0 112
97.4%
1 3
 
2.6%

Length

2023-12-13T07:26:03.680887image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T07:26:03.783442image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 112
97.4%
1 3
 
2.6%

경증_심한 장애_남
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct16
Distinct (%)13.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.9913043
Minimum0
Maximum21
Zeros49
Zeros (%)42.6%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2023-12-13T07:26:03.866137image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q34
95-th percentile12
Maximum21
Range21
Interquartile range (IQR)4

Descriptive statistics

Standard deviation4.6405831
Coefficient of variation (CV)1.5513577
Kurtosis3.5551739
Mean2.9913043
Median Absolute Deviation (MAD)1
Skewness1.9608847
Sum344
Variance21.535011
MonotonicityNot monotonic
2023-12-13T07:26:03.976460image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
0 49
42.6%
1 21
18.3%
2 10
 
8.7%
9 6
 
5.2%
3 5
 
4.3%
8 4
 
3.5%
4 4
 
3.5%
5 3
 
2.6%
11 3
 
2.6%
7 2
 
1.7%
Other values (6) 8
 
7.0%
ValueCountFrequency (%)
0 49
42.6%
1 21
18.3%
2 10
 
8.7%
3 5
 
4.3%
4 4
 
3.5%
5 3
 
2.6%
7 2
 
1.7%
8 4
 
3.5%
9 6
 
5.2%
10 1
 
0.9%
ValueCountFrequency (%)
21 1
 
0.9%
19 2
 
1.7%
17 1
 
0.9%
14 1
 
0.9%
12 2
 
1.7%
11 3
2.6%
10 1
 
0.9%
9 6
5.2%
8 4
3.5%
7 2
 
1.7%

경증_심한 장애_여
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct15
Distinct (%)13.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.6
Minimum0
Maximum18
Zeros46
Zeros (%)40.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2023-12-13T07:26:04.075258image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q34
95-th percentile11
Maximum18
Range18
Interquartile range (IQR)4

Descriptive statistics

Standard deviation3.7129456
Coefficient of variation (CV)1.428056
Kurtosis3.1734011
Mean2.6
Median Absolute Deviation (MAD)1
Skewness1.8196156
Sum299
Variance13.785965
MonotonicityNot monotonic
2023-12-13T07:26:04.177598image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=15)
ValueCountFrequency (%)
0 46
40.0%
1 24
20.9%
2 8
 
7.0%
3 7
 
6.1%
8 6
 
5.2%
6 6
 
5.2%
4 5
 
4.3%
7 4
 
3.5%
11 2
 
1.7%
12 2
 
1.7%
Other values (5) 5
 
4.3%
ValueCountFrequency (%)
0 46
40.0%
1 24
20.9%
2 8
 
7.0%
3 7
 
6.1%
4 5
 
4.3%
5 1
 
0.9%
6 6
 
5.2%
7 4
 
3.5%
8 6
 
5.2%
9 1
 
0.9%
ValueCountFrequency (%)
18 1
 
0.9%
15 1
 
0.9%
13 1
 
0.9%
12 2
 
1.7%
11 2
 
1.7%
9 1
 
0.9%
8 6
5.2%
7 4
3.5%
6 6
5.2%
5 1
 
0.9%

경증_심하지 않은 장애_남
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct28
Distinct (%)24.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.2608696
Minimum0
Maximum57
Zeros51
Zeros (%)44.3%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2023-12-13T07:26:04.313692image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q36
95-th percentile23.3
Maximum57
Range57
Interquartile range (IQR)6

Descriptive statistics

Standard deviation9.4135838
Coefficient of variation (CV)1.7893589
Kurtosis9.2495156
Mean5.2608696
Median Absolute Deviation (MAD)1
Skewness2.7394427
Sum605
Variance88.615561
MonotonicityNot monotonic
2023-12-13T07:26:04.417706image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=28)
ValueCountFrequency (%)
0 51
44.3%
1 16
 
13.9%
3 6
 
5.2%
2 5
 
4.3%
4 4
 
3.5%
11 3
 
2.6%
5 3
 
2.6%
15 2
 
1.7%
6 2
 
1.7%
13 2
 
1.7%
Other values (18) 21
18.3%
ValueCountFrequency (%)
0 51
44.3%
1 16
 
13.9%
2 5
 
4.3%
3 6
 
5.2%
4 4
 
3.5%
5 3
 
2.6%
6 2
 
1.7%
7 1
 
0.9%
8 2
 
1.7%
9 2
 
1.7%
ValueCountFrequency (%)
57 1
0.9%
39 1
0.9%
34 1
0.9%
33 1
0.9%
25 1
0.9%
24 1
0.9%
23 1
0.9%
22 2
1.7%
20 1
0.9%
19 1
0.9%

경증_심하지 않은 장애_여
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct25
Distinct (%)21.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.173913
Minimum0
Maximum78
Zeros55
Zeros (%)47.8%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2023-12-13T07:26:04.522554image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q36
95-th percentile29.4
Maximum78
Range78
Interquartile range (IQR)6

Descriptive statistics

Standard deviation13.249469
Coefficient of variation (CV)2.1460408
Kurtosis13.726076
Mean6.173913
Median Absolute Deviation (MAD)1
Skewness3.4889249
Sum710
Variance175.54844
MonotonicityNot monotonic
2023-12-13T07:26:04.629542image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%)
0 55
47.8%
1 13
 
11.3%
2 7
 
6.1%
7 5
 
4.3%
6 4
 
3.5%
3 3
 
2.6%
12 3
 
2.6%
4 3
 
2.6%
18 3
 
2.6%
14 2
 
1.7%
Other values (15) 17
 
14.8%
ValueCountFrequency (%)
0 55
47.8%
1 13
 
11.3%
2 7
 
6.1%
3 3
 
2.6%
4 3
 
2.6%
5 2
 
1.7%
6 4
 
3.5%
7 5
 
4.3%
9 2
 
1.7%
10 1
 
0.9%
ValueCountFrequency (%)
78 1
0.9%
72 1
0.9%
55 1
0.9%
46 1
0.9%
39 1
0.9%
35 1
0.9%
27 1
0.9%
24 1
0.9%
23 1
0.9%
20 1
0.9%

Interactions

2023-12-13T07:26:02.259671image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T07:26:01.168729image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T07:26:01.497459image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T07:26:01.897859image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T07:26:02.348144image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T07:26:01.244045image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T07:26:01.609252image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T07:26:01.982371image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T07:26:02.435671image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T07:26:01.328702image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T07:26:01.716106image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T07:26:02.077521image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T07:26:02.525409image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T07:26:01.402863image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T07:26:01.799467image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T07:26:02.160046image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-13T07:26:04.712795image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
읍면동장애유형중증_심한 장애_남중증_심한 장애_여경증_심한 장애_남경증_심한 장애_여경증_심하지 않은 장애_남경증_심하지 않은 장애_여
읍면동1.0000.0000.1120.0000.1680.0000.0000.000
장애유형0.0001.0000.0000.0000.0000.0000.2870.356
중증_심한 장애_남0.1120.0001.0000.0000.0000.3680.4250.647
중증_심한 장애_여0.0000.0000.0001.0000.0000.0000.0000.000
경증_심한 장애_남0.1680.0000.0000.0001.0000.8140.5220.439
경증_심한 장애_여0.0000.0000.3680.0000.8141.0000.7050.617
경증_심하지 않은 장애_남0.0000.2870.4250.0000.5220.7051.0000.927
경증_심하지 않은 장애_여0.0000.3560.6470.0000.4390.6170.9271.000
2023-12-13T07:26:04.819453image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
읍면동장애유형중증_심한 장애_남중증_심한 장애_여
읍면동1.0000.0000.0780.000
장애유형0.0001.0000.0000.000
중증_심한 장애_남0.0780.0001.0000.000
중증_심한 장애_여0.0000.0000.0001.000
2023-12-13T07:26:04.907556image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
경증_심한 장애_남경증_심한 장애_여경증_심하지 않은 장애_남경증_심하지 않은 장애_여읍면동장애유형중증_심한 장애_남중증_심한 장애_여
경증_심한 장애_남1.0000.7370.1600.1330.0640.0000.0000.000
경증_심한 장애_여0.7371.0000.1370.1900.0380.0270.2650.000
경증_심하지 않은 장애_남0.1600.1371.0000.7720.0000.1220.3100.000
경증_심하지 않은 장애_여0.1330.1900.7721.0000.0000.1570.4780.000
읍면동0.0640.0380.0000.0001.0000.0000.0780.000
장애유형0.0000.0270.1220.1570.0001.0000.0000.000
중증_심한 장애_남0.0000.2650.3100.4780.0780.0001.0000.000
중증_심한 장애_여0.0000.0000.0000.0000.0000.0000.0001.000

Missing values

2023-12-13T07:26:02.648646image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T07:26:03.101671image/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

읍면동장애유형중증_심한 장애_남중증_심한 장애_여경증_심한 장애_남경증_심한 장애_여경증_심하지 않은 장애_남경증_심하지 않은 장애_여
0양주시지체000001
1양주시청각000100
2양주시뇌병변001000
3백석읍지체00983346
4백석읍시각00031012
5백석읍청각00231120
6백석읍언어000102
7백석읍지적008800
8백석읍뇌병변00124154
9백석읍정신00111100
읍면동장애유형중증_심한 장애_남중증_심한 장애_여경증_심한 장애_남경증_심한 장애_여경증_심하지 않은 장애_남경증_심하지 않은 장애_여
105회천4동언어002050
106회천4동지적0081200
107회천4동뇌병변0078197
108회천4동정신00211500
109회천4동심장000030
110회천4동신장001000
111회천4동호흡기000100
112회천4동간000010
113회천4동장루.요루000002
114회천4동뇌전증001110