Overview

Dataset statistics

Number of variables5
Number of observations50
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory2.3 KiB
Average record size in memory46.6 B

Variable types

Categorical2
Numeric3

Dataset

Description등록장애인 집계현황(연령별, 정도별)
Author경기복지재단(경기도장애인복지종합지원센터)
URLhttps://data.gg.go.kr/portal/data/service/selectServicePage.do?&infId=1XUTPSC88CF8IT431P4T24843569&infSeq=1

Alerts

합계(명) is highly overall correlated with 심한장애인수(명) and 1 other fieldsHigh correlation
심한장애인수(명) is highly overall correlated with 합계(명) and 1 other fieldsHigh correlation
심하지않은장애인수(명) is highly overall correlated with 합계(명) and 1 other fieldsHigh correlation
합계(명) has unique valuesUnique
심한장애인수(명) has unique valuesUnique
심하지않은장애인수(명) has unique valuesUnique

Reproduction

Analysis started2024-04-11 02:45:53.606569
Analysis finished2024-04-11 02:45:56.904218
Duration3.3 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

기준년도
Categorical

Distinct5
Distinct (%)10.0%
Missing0
Missing (%)0.0%
Memory size532.0 B
2023
10 
2022
10 
2021
10 
2020
10 
2019
10 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2023
2nd row2023
3rd row2023
4th row2023
5th row2023

Common Values

ValueCountFrequency (%)
2023 10
20.0%
2022 10
20.0%
2021 10
20.0%
2020 10
20.0%
2019 10
20.0%

Length

2024-04-11T11:45:57.011673image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-11T11:45:57.159102image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2023 10
20.0%
2022 10
20.0%
2021 10
20.0%
2020 10
20.0%
2019 10
20.0%

연령
Categorical

Distinct10
Distinct (%)20.0%
Missing0
Missing (%)0.0%
Memory size532.0 B
0-9세
5 
10-19세
5 
20-29세
5 
30-39세
5 
40-49세
5 
Other values (5)
25 

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 5
10.0%
10-19세 5
10.0%
20-29세 5
10.0%
30-39세 5
10.0%
40-49세 5
10.0%
50-59세 5
10.0%
60-69세 5
10.0%
70-79세 5
10.0%
80-89세 5
10.0%
90세 이상 5
10.0%

Length

2024-04-11T11:45:57.340689image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-11T11:45:57.527928image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0-9세 5
9.1%
10-19세 5
9.1%
20-29세 5
9.1%
30-39세 5
9.1%
40-49세 5
9.1%
50-59세 5
9.1%
60-69세 5
9.1%
70-79세 5
9.1%
80-89세 5
9.1%
90세 5
9.1%

합계(명)
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct50
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean98856.38
Minimum8414
Maximum602869
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size582.0 B
2024-04-11T11:45:57.748831image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum8414
5-th percentile9150.4
Q123339.25
median56871.5
Q3115323.5
95-th percentile421870.1
Maximum602869
Range594455
Interquartile range (IQR)91984.25

Descriptive statistics

Standard deviation133619.33
Coefficient of variation (CV)1.3516511
Kurtosis7.2410359
Mean98856.38
Median Absolute Deviation (MAD)41258.5
Skewness2.6928468
Sum4942819
Variance1.7854126 × 1010
MonotonicityNot monotonic
2024-04-11T11:45:57.937952image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
9608 1
 
2.0%
385492 1
 
2.0%
80385 1
 
2.0%
12428 1
 
2.0%
31565 1
 
2.0%
58610 1
 
2.0%
97861 1
 
2.0%
122303 1
 
2.0%
242691 1
 
2.0%
451634 1
 
2.0%
Other values (40) 40
80.0%
ValueCountFrequency (%)
8414 1
2.0%
8905 1
2.0%
9100 1
2.0%
9212 1
2.0%
9608 1
2.0%
12428 1
2.0%
14430 1
2.0%
15124 1
2.0%
15532 1
2.0%
15694 1
2.0%
ValueCountFrequency (%)
602869 1
2.0%
585396 1
2.0%
451634 1
2.0%
385492 1
2.0%
242691 1
2.0%
141314 1
2.0%
139543 1
2.0%
137022 1
2.0%
122303 1
2.0%
122281 1
2.0%

심한장애인수(명)
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct50
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean36791.38
Minimum2547
Maximum198774
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size582.0 B
2024-04-11T11:45:58.119649image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2547
5-th percentile3415.45
Q115037
median21213.5
Q338277.25
95-th percentile137559
Maximum198774
Range196227
Interquartile range (IQR)23240.25

Descriptive statistics

Standard deviation42725.98
Coefficient of variation (CV)1.1613041
Kurtosis6.3438594
Mean36791.38
Median Absolute Deviation (MAD)11051.5
Skewness2.5270164
Sum1839569
Variance1.8255093 × 109
MonotonicityNot monotonic
2024-04-11T11:45:58.307047image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
8019 1
 
2.0%
93051 1
 
2.0%
20077 1
 
2.0%
2986 1
 
2.0%
25760 1
 
2.0%
51466 1
 
2.0%
79552 1
 
2.0%
74040 1
 
2.0%
111071 1
 
2.0%
178877 1
 
2.0%
Other values (40) 40
80.0%
ValueCountFrequency (%)
2547 1
2.0%
2986 1
2.0%
3316 1
2.0%
3537 1
2.0%
6891 1
2.0%
7052 1
2.0%
7330 1
2.0%
8019 1
2.0%
13143 1
2.0%
13219 1
2.0%
ValueCountFrequency (%)
198774 1
2.0%
178877 1
2.0%
159231 1
2.0%
111071 1
2.0%
93051 1
2.0%
79552 1
2.0%
74040 1
2.0%
51466 1
2.0%
44675 1
2.0%
44414 1
2.0%

심하지않은장애인수(명)
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct50
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean62065
Minimum1523
Maximum426165
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size582.0 B
2024-04-11T11:45:58.527980image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1523
5-th percentile1807.35
Q16020
median32109.5
Q378827.25
95-th percentile283583.2
Maximum426165
Range424642
Interquartile range (IQR)72807.25

Descriptive statistics

Standard deviation94055.714
Coefficient of variation (CV)1.5154389
Kurtosis7.5088914
Mean62065
Median Absolute Deviation (MAD)29744
Skewness2.7136567
Sum3103250
Variance8.8464773 × 109
MonotonicityNot monotonic
2024-04-11T11:45:58.711479image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1589 1
 
2.0%
292441 1
 
2.0%
60308 1
 
2.0%
9442 1
 
2.0%
5805 1
 
2.0%
7144 1
 
2.0%
18309 1
 
2.0%
48263 1
 
2.0%
131620 1
 
2.0%
272757 1
 
2.0%
Other values (40) 40
80.0%
ValueCountFrequency (%)
1523 1
2.0%
1589 1
2.0%
1770 1
2.0%
1853 1
2.0%
1905 1
2.0%
1959 1
2.0%
2007 1
2.0%
2073 1
2.0%
4432 1
2.0%
4511 1
2.0%
ValueCountFrequency (%)
426165 1
2.0%
404095 1
2.0%
292441 1
2.0%
272757 1
2.0%
131620 1
2.0%
96639 1
2.0%
95129 1
2.0%
93412 1
2.0%
85916 1
2.0%
84781 1
2.0%

Interactions

2024-04-11T11:45:56.336473image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T11:45:55.361392image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T11:45:55.969330image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T11:45:56.449052image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T11:45:55.524342image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T11:45:56.101975image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T11:45:56.569282image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T11:45:55.864540image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T11:45:56.227661image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-04-11T11:45:58.828275image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
기준년도연령합계(명)심한장애인수(명)심하지않은장애인수(명)
기준년도1.0000.0000.0000.2480.219
연령0.0001.0000.6740.5920.714
합계(명)0.0000.6741.0000.9580.987
심한장애인수(명)0.2480.5920.9581.0000.979
심하지않은장애인수(명)0.2190.7140.9870.9791.000
2024-04-11T11:45:58.954455image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연령기준년도
연령1.0000.000
기준년도0.0001.000
2024-04-11T11:45:59.075494image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
합계(명)심한장애인수(명)심하지않은장애인수(명)기준년도연령
합계(명)1.0000.9280.9430.0000.411
심한장애인수(명)0.9281.0000.7830.1320.317
심하지않은장애인수(명)0.9430.7831.0000.1450.457
기준년도0.0000.1320.1451.0000.000
연령0.4110.3170.4570.0001.000

Missing values

2024-04-11T11:45:56.707132image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-04-11T11:45:56.832732image/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)심한장애인수(명)심하지않은장애인수(명)
020230-9세960880191589
1202310-19세16725146522073
2202320-29세23715192834432
3202330-39세26714170449670
4202340-49세506412106429577
5202350-59세942173457059647
6202360-69세1413144467596639
7202370-79세1174733155785916
8202380-89세903202116069160
9202390세 이상15694353712157
기준년도연령합계(명)심한장애인수(명)심하지않은장애인수(명)
4020190-9세841468911523
41201910-19세15124132191905
42201920-29세23214186104604
43201930-39세305321619214340
44201940-49세590492341735632
45201950-59세1098263885570971
46201960-69세1222813915483127
47201970-79세1141043265881446
48201980-89세681221829249830
49201990세 이상921225476665