Overview

Dataset statistics

Number of variables5
Number of observations110
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory4.9 KiB
Average record size in memory45.2 B

Variable types

Numeric4
Categorical1

Dataset

Description등록장애인 집계현황(연령별, 성별)
Author경기복지재단(경기도장애인복지종합지원센터)
URLhttps://data.gg.go.kr/portal/data/service/selectServicePage.do?&infId=UNHNPP2OWKG7CMASQ7G424875225&infSeq=1

Alerts

합계(명) is highly overall correlated with 남성장애인수(명) and 2 other fieldsHigh correlation
남성장애인수(명) is highly overall correlated with 합계(명) and 2 other fieldsHigh correlation
여성장애인수(명) is highly overall correlated with 합계(명) and 2 other fieldsHigh correlation
연령 is highly overall correlated with 합계(명) and 2 other fieldsHigh correlation
합계(명) has unique valuesUnique
남성장애인수(명) has unique valuesUnique
여성장애인수(명) has unique valuesUnique

Reproduction

Analysis started2024-04-11 04:55:17.402171
Analysis finished2024-04-11 04:55:20.157249
Duration2.76 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

기준년도
Real number (ℝ)

Distinct11
Distinct (%)10.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2018
Minimum2013
Maximum2023
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2024-04-11T13:55:20.205422image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2013
5-th percentile2013
Q12015
median2018
Q32021
95-th percentile2023
Maximum2023
Range10
Interquartile range (IQR)6

Descriptive statistics

Standard deviation3.1767504
Coefficient of variation (CV)0.0015742073
Kurtosis-1.2207321
Mean2018
Median Absolute Deviation (MAD)3
Skewness0
Sum221980
Variance10.091743
MonotonicityDecreasing
2024-04-11T13:55:20.308483image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
2023 10
9.1%
2022 10
9.1%
2021 10
9.1%
2020 10
9.1%
2019 10
9.1%
2018 10
9.1%
2017 10
9.1%
2016 10
9.1%
2015 10
9.1%
2014 10
9.1%
ValueCountFrequency (%)
2013 10
9.1%
2014 10
9.1%
2015 10
9.1%
2016 10
9.1%
2017 10
9.1%
2018 10
9.1%
2019 10
9.1%
2020 10
9.1%
2021 10
9.1%
2022 10
9.1%
ValueCountFrequency (%)
2023 10
9.1%
2022 10
9.1%
2021 10
9.1%
2020 10
9.1%
2019 10
9.1%
2018 10
9.1%
2017 10
9.1%
2016 10
9.1%
2015 10
9.1%
2014 10
9.1%

연령
Categorical

HIGH CORRELATION 

Distinct10
Distinct (%)9.1%
Missing0
Missing (%)0.0%
Memory size1012.0 B
0-9세
11 
10-19세
11 
20-29세
11 
30-39세
11 
40-49세
11 
Other values (5)
55 

Length

Max length6
Median length6
Mean length5.8
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0-9세
2nd row10-19세
3rd row20-29세
4th row30-39세
5th row40-49세

Common Values

ValueCountFrequency (%)
0-9세 11
10.0%
10-19세 11
10.0%
20-29세 11
10.0%
30-39세 11
10.0%
40-49세 11
10.0%
50-59세 11
10.0%
60-69세 11
10.0%
70-79세 11
10.0%
80-89세 11
10.0%
90세 이상 11
10.0%

Length

2024-04-11T13:55:20.415773image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-11T13:55:20.523342image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0-9세 11
9.1%
10-19세 11
9.1%
20-29세 11
9.1%
30-39세 11
9.1%
40-49세 11
9.1%
50-59세 11
9.1%
60-69세 11
9.1%
70-79세 11
9.1%
80-89세 11
9.1%
90세 11
9.1%

합계(명)
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct110
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean54577.336
Minimum3889
Maximum141314
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2024-04-11T13:55:20.648929image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3889
5-th percentile6068.6
Q115754.25
median36007.5
Q3100292.75
95-th percentile117104
Maximum141314
Range137425
Interquartile range (IQR)84538.5

Descriptive statistics

Standard deviation42984.922
Coefficient of variation (CV)0.78759655
Kurtosis-1.3453358
Mean54577.336
Median Absolute Deviation (MAD)28010.5
Skewness0.44966392
Sum6003507
Variance1.8477035 × 109
MonotonicityNot monotonic
2024-04-11T13:55:20.764033image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
9608 1
 
0.9%
6799 1
 
0.9%
15935 1
 
0.9%
6238 1
 
0.9%
5223 1
 
0.9%
46731 1
 
0.9%
101952 1
 
0.9%
109207 1
 
0.9%
113975 1
 
0.9%
67433 1
 
0.9%
Other values (100) 100
90.9%
ValueCountFrequency (%)
3889 1
0.9%
4203 1
0.9%
4634 1
0.9%
5223 1
0.9%
5821 1
0.9%
5930 1
0.9%
6238 1
0.9%
6244 1
0.9%
6799 1
0.9%
6945 1
0.9%
ValueCountFrequency (%)
141314 1
0.9%
139543 1
0.9%
137022 1
0.9%
129239 1
0.9%
122281 1
0.9%
117473 1
0.9%
116653 1
0.9%
116333 1
0.9%
115730 1
0.9%
115580 1
0.9%

남성장애인수(명)
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct110
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean32507.527
Minimum1247
Maximum91918
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2024-04-11T13:55:20.901785image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1247
5-th percentile2339.35
Q110319.25
median22065.5
Q354218.75
95-th percentile78202.95
Maximum91918
Range90671
Interquartile range (IQR)43899.5

Descriptive statistics

Standard deviation26634.551
Coefficient of variation (CV)0.81933487
Kurtosis-0.99420642
Mean32507.527
Median Absolute Deviation (MAD)17526.5
Skewness0.60215574
Sum3575828
Variance7.0939929 × 108
MonotonicityNot monotonic
2024-04-11T13:55:21.046413image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
6629 1
 
0.9%
4459 1
 
0.9%
10407 1
 
0.9%
4044 1
 
0.9%
1572 1
 
0.9%
17312 1
 
0.9%
48841 1
 
0.9%
64645 1
 
0.9%
78322 1
 
0.9%
47850 1
 
0.9%
Other values (100) 100
90.9%
ValueCountFrequency (%)
1247 1
0.9%
1360 1
0.9%
1413 1
0.9%
1572 1
0.9%
1838 1
0.9%
2059 1
0.9%
2682 1
0.9%
3166 1
0.9%
3624 1
0.9%
3674 1
0.9%
ValueCountFrequency (%)
91918 1
0.9%
89913 1
0.9%
87339 1
0.9%
81404 1
0.9%
78322 1
0.9%
78234 1
0.9%
78165 1
0.9%
77799 1
0.9%
77702 1
0.9%
77266 1
0.9%

여성장애인수(명)
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct110
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean22069.809
Minimum2142
Maximum56445
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2024-04-11T13:55:21.162343image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2142
5-th percentile2574.35
Q15909
median13126
Q337803.5
95-th percentile54000.5
Maximum56445
Range54303
Interquartile range (IQR)31894.5

Descriptive statistics

Standard deviation18576.202
Coefficient of variation (CV)0.84170197
Kurtosis-1.2229949
Mean22069.809
Median Absolute Deviation (MAD)10188
Skewness0.59295186
Sum2427679
Variance3.4507528 × 108
MonotonicityNot monotonic
2024-04-11T13:55:21.282055image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2979 1
 
0.9%
2340 1
 
0.9%
5528 1
 
0.9%
2194 1
 
0.9%
3651 1
 
0.9%
29419 1
 
0.9%
53111 1
 
0.9%
44562 1
 
0.9%
35653 1
 
0.9%
19583 1
 
0.9%
Other values (100) 100
90.9%
ValueCountFrequency (%)
2142 1
0.9%
2147 1
0.9%
2194 1
0.9%
2340 1
0.9%
2402 1
0.9%
2519 1
0.9%
2642 1
0.9%
2764 1
0.9%
2784 1
0.9%
2843 1
0.9%
ValueCountFrequency (%)
56445 1
0.9%
56355 1
0.9%
55243 1
0.9%
55230 1
0.9%
54706 1
0.9%
54239 1
0.9%
53709 1
0.9%
53111 1
0.9%
53037 1
0.9%
52930 1
0.9%

Interactions

2024-04-11T13:55:19.704666image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T13:55:18.699675image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T13:55:19.130269image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T13:55:19.416424image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T13:55:19.780336image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T13:55:18.820023image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T13:55:19.199575image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T13:55:19.498129image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T13:55:19.856936image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T13:55:19.007699image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T13:55:19.273589image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T13:55:19.572491image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T13:55:19.929510image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T13:55:19.064903image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T13:55:19.339892image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T13:55:19.637615image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-04-11T13:55:21.367394image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
기준년도연령합계(명)남성장애인수(명)여성장애인수(명)
기준년도1.0000.0000.0000.0000.000
연령0.0001.0000.9350.9460.955
합계(명)0.0000.9351.0000.9410.927
남성장애인수(명)0.0000.9460.9411.0000.933
여성장애인수(명)0.0000.9550.9270.9331.000
2024-04-11T13:55:21.472071image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
기준년도합계(명)남성장애인수(명)여성장애인수(명)연령
기준년도1.0000.0850.0770.0920.000
합계(명)0.0851.0000.9730.9430.577
남성장애인수(명)0.0770.9731.0000.8570.610
여성장애인수(명)0.0920.9430.8571.0000.639
연령0.0000.5770.6100.6391.000

Missing values

2024-04-11T13:55:20.031281image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-04-11T13:55:20.118412image/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

기준년도연령합계(명)남성장애인수(명)여성장애인수(명)
020230-9세960866292979
1202310-19세16725111025623
2202320-29세23715152608455
3202330-39세26714176909024
4202340-49세506413546415177
5202350-59세942176548328734
6202360-69세1413149191849396
7202370-79세1174736376453709
8202380-89세903203728353037
9202390세 이상15694461911075
기준년도연령합계(명)남성장애인수(명)여성장애인수(명)
10020130-9세582136742147
101201310-19세16502107615741
102201320-29세19898134856413
103201330-39세391042814410960
104201340-49세758175427821539
105201350-59세1152227726637956
106201360-69세990765595843118
107201370-79세977824504952733
108201380-89세333531217321180
109201390세 이상388912472642