Overview

Dataset statistics

Number of variables9
Number of observations66
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory5.3 KiB
Average record size in memory83.0 B

Variable types

Numeric6
Categorical3

Dataset

Description국민연금 장애인지원 등급별 수급현황입니다. 활동지원 인원수, 활동장애 정보를 제공합니다.
Author충청남도
URLhttps://alldam.chungnam.go.kr/bigdata/collect/view.chungnam?menuCd=DOM_000000201001001000&apiIdx=124

Alerts

수집년도 has constant value ""Constant
수집월 has constant value ""Constant
번호 is highly overall correlated with 자료생성일High correlation
활동지원1등급 인원수 is highly overall correlated with 활동지원2등급 인원수 and 2 other fieldsHigh correlation
활동지원2등급 인원수 is highly overall correlated with 활동지원1등급 인원수 and 2 other fieldsHigh correlation
활동지원3등급 인원수 is highly overall correlated with 활동지원1등급 인원수 and 3 other fieldsHigh correlation
활동지원4등급 인원수 is highly overall correlated with 활동지원3등급 인원수 and 1 other fieldsHigh correlation
자료생성일 is highly overall correlated with 번호High correlation
활동장애코드 is highly overall correlated with 활동지원1등급 인원수 and 3 other fieldsHigh correlation
번호 has unique valuesUnique
활동지원2등급 인원수 has unique valuesUnique
활동지원3등급 인원수 has unique valuesUnique

Reproduction

Analysis started2024-01-09 21:22:48.215897
Analysis finished2024-01-09 21:22:51.247037
Duration3.03 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct66
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean33.5
Minimum1
Maximum66
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size726.0 B
2024-01-10T06:22:51.319679image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile4.25
Q117.25
median33.5
Q349.75
95-th percentile62.75
Maximum66
Range65
Interquartile range (IQR)32.5

Descriptive statistics

Standard deviation19.196354
Coefficient of variation (CV)0.57302549
Kurtosis-1.2
Mean33.5
Median Absolute Deviation (MAD)16.5
Skewness0
Sum2211
Variance368.5
MonotonicityStrictly increasing
2024-01-10T06:22:51.454174image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
1.5%
51 1
 
1.5%
37 1
 
1.5%
38 1
 
1.5%
39 1
 
1.5%
40 1
 
1.5%
41 1
 
1.5%
42 1
 
1.5%
43 1
 
1.5%
44 1
 
1.5%
Other values (56) 56
84.8%
ValueCountFrequency (%)
1 1
1.5%
2 1
1.5%
3 1
1.5%
4 1
1.5%
5 1
1.5%
6 1
1.5%
7 1
1.5%
8 1
1.5%
9 1
1.5%
10 1
1.5%
ValueCountFrequency (%)
66 1
1.5%
65 1
1.5%
64 1
1.5%
63 1
1.5%
62 1
1.5%
61 1
1.5%
60 1
1.5%
59 1
1.5%
58 1
1.5%
57 1
1.5%

활동지원1등급 인원수
Real number (ℝ)

HIGH CORRELATION 

Distinct64
Distinct (%)97.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9196.2273
Minimum55
Maximum26794
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size726.0 B
2024-01-10T06:22:51.574575image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum55
5-th percentile105.25
Q1148.25
median1166.5
Q325978.25
95-th percentile26593.75
Maximum26794
Range26739
Interquartile range (IQR)25830

Descriptive statistics

Standard deviation12175.987
Coefficient of variation (CV)1.3240198
Kurtosis-1.5209404
Mean9196.2273
Median Absolute Deviation (MAD)1031
Skewness0.72028314
Sum606951
Variance1.4825465 × 108
MonotonicityNot monotonic
2024-01-10T06:22:51.684013image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1129 2
 
3.0%
109 2
 
3.0%
26485 1
 
1.5%
148 1
 
1.5%
1227 1
 
1.5%
26535 1
 
1.5%
149 1
 
1.5%
1226 1
 
1.5%
147 1
 
1.5%
1232 1
 
1.5%
Other values (54) 54
81.8%
ValueCountFrequency (%)
55 1
1.5%
99 1
1.5%
103 1
1.5%
104 1
1.5%
109 2
3.0%
115 1
1.5%
118 1
1.5%
123 1
1.5%
130 1
1.5%
131 1
1.5%
ValueCountFrequency (%)
26794 1
1.5%
26721 1
1.5%
26652 1
1.5%
26601 1
1.5%
26572 1
1.5%
26535 1
1.5%
26485 1
1.5%
26479 1
1.5%
26463 1
1.5%
26430 1
1.5%

활동지원2등급 인원수
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct66
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9430.0303
Minimum227
Maximum22701
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size726.0 B
2024-01-10T06:22:51.787734image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum227
5-th percentile387.25
Q1544.75
median6121
Q321346.75
95-th percentile22314.5
Maximum22701
Range22474
Interquartile range (IQR)20802

Descriptive statistics

Standard deviation9080.8858
Coefficient of variation (CV)0.96297525
Kurtosis-1.5131387
Mean9430.0303
Median Absolute Deviation (MAD)5635
Skewness0.52245362
Sum622382
Variance82462487
MonotonicityNot monotonic
2024-01-10T06:22:51.893922image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20150 1
 
1.5%
539 1
 
1.5%
21948 1
 
1.5%
6208 1
 
1.5%
508 1
 
1.5%
22051 1
 
1.5%
6254 1
 
1.5%
517 1
 
1.5%
21992 1
 
1.5%
6290 1
 
1.5%
Other values (56) 56
84.8%
ValueCountFrequency (%)
227 1
1.5%
365 1
1.5%
381 1
1.5%
385 1
1.5%
394 1
1.5%
415 1
1.5%
430 1
1.5%
439 1
1.5%
454 1
1.5%
457 1
1.5%
ValueCountFrequency (%)
22701 1
1.5%
22610 1
1.5%
22483 1
1.5%
22341 1
1.5%
22235 1
1.5%
22130 1
1.5%
22051 1
1.5%
22035 1
1.5%
21992 1
1.5%
21948 1
1.5%

활동지원3등급 인원수
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct66
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7329.1212
Minimum948
Maximum13802
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size726.0 B
2024-01-10T06:22:51.997576image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum948
5-th percentile1640.5
Q12331.5
median8048.5
Q311088.25
95-th percentile13151.5
Maximum13802
Range12854
Interquartile range (IQR)8756.75

Descriptive statistics

Standard deviation4191.4891
Coefficient of variation (CV)0.57189517
Kurtosis-1.3851091
Mean7329.1212
Median Absolute Deviation (MAD)4064.5
Skewness-0.16448288
Sum483722
Variance17568581
MonotonicityNot monotonic
2024-01-10T06:22:52.107732image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
7706 1
 
1.5%
2316 1
 
1.5%
8116 1
 
1.5%
12335 1
 
1.5%
2105 1
 
1.5%
8136 1
 
1.5%
12512 1
 
1.5%
2167 1
 
1.5%
8092 1
 
1.5%
12535 1
 
1.5%
Other values (56) 56
84.8%
ValueCountFrequency (%)
948 1
1.5%
1483 1
1.5%
1544 1
1.5%
1630 1
1.5%
1672 1
1.5%
1715 1
1.5%
1774 1
1.5%
1839 1
1.5%
1901 1
1.5%
1953 1
1.5%
ValueCountFrequency (%)
13802 1
1.5%
13640 1
1.5%
13454 1
1.5%
13206 1
1.5%
12988 1
1.5%
12802 1
1.5%
12627 1
1.5%
12535 1
1.5%
12512 1
1.5%
12335 1
1.5%

활동지원4등급 인원수
Real number (ℝ)

HIGH CORRELATION 

Distinct64
Distinct (%)97.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4390.5455
Minimum1567
Maximum7452
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size726.0 B
2024-01-10T06:22:52.434710image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1567
5-th percentile1577.5
Q11629.75
median5000.5
Q36305.25
95-th percentile7058.75
Maximum7452
Range5885
Interquartile range (IQR)4675.5

Descriptive statistics

Standard deviation2156.5598
Coefficient of variation (CV)0.49118265
Kurtosis-1.5834554
Mean4390.5455
Median Absolute Deviation (MAD)1610
Skewness-0.29878001
Sum289776
Variance4650750
MonotonicityNot monotonic
2024-01-10T06:22:52.532917image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
6720 2
 
3.0%
1605 2
 
3.0%
1595 1
 
1.5%
5726 1
 
1.5%
1629 1
 
1.5%
6648 1
 
1.5%
5276 1
 
1.5%
1632 1
 
1.5%
5425 1
 
1.5%
1620 1
 
1.5%
Other values (54) 54
81.8%
ValueCountFrequency (%)
1567 1
1.5%
1574 1
1.5%
1576 1
1.5%
1577 1
1.5%
1579 1
1.5%
1587 1
1.5%
1595 1
1.5%
1604 1
1.5%
1605 2
3.0%
1611 1
1.5%
ValueCountFrequency (%)
7452 1
1.5%
7368 1
1.5%
7221 1
1.5%
7090 1
1.5%
6965 1
1.5%
6867 1
1.5%
6781 1
1.5%
6720 2
3.0%
6648 1
1.5%
6573 1
1.5%

활동장애코드
Categorical

HIGH CORRELATION 

Distinct3
Distinct (%)4.5%
Missing0
Missing (%)0.0%
Memory size660.0 B
1
22 
2
22 
3
22 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1
2nd row2
3rd row3
4th row1
5th row2

Common Values

ValueCountFrequency (%)
1 22
33.3%
2 22
33.3%
3 22
33.3%

Length

2024-01-10T06:22:52.631411image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-10T06:22:52.710995image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 22
33.3%
2 22
33.3%
3 22
33.3%

자료생성일
Real number (ℝ)

HIGH CORRELATION 

Distinct22
Distinct (%)33.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean201802.05
Minimum201610
Maximum201905
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size726.0 B
2024-01-10T06:22:52.787918image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum201610
5-th percentile201709
Q1201801
median201806.5
Q3201812
95-th percentile201904
Maximum201905
Range295
Interquartile range (IQR)11

Descriptive statistics

Standard deviation74.964285
Coefficient of variation (CV)0.00037147436
Kurtosis0.32081419
Mean201802.05
Median Absolute Deviation (MAD)5.5
Skewness-0.56519714
Sum13318935
Variance5619.6441
MonotonicityIncreasing
2024-01-10T06:22:52.877708image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=22)
ValueCountFrequency (%)
201610 3
 
4.5%
201808 3
 
4.5%
201905 3
 
4.5%
201904 3
 
4.5%
201903 3
 
4.5%
201902 3
 
4.5%
201901 3
 
4.5%
201812 3
 
4.5%
201811 3
 
4.5%
201810 3
 
4.5%
Other values (12) 36
54.5%
ValueCountFrequency (%)
201610 3
4.5%
201709 3
4.5%
201710 3
4.5%
201711 3
4.5%
201712 3
4.5%
201801 3
4.5%
201802 3
4.5%
201803 3
4.5%
201804 3
4.5%
201805 3
4.5%
ValueCountFrequency (%)
201905 3
4.5%
201904 3
4.5%
201903 3
4.5%
201902 3
4.5%
201901 3
4.5%
201812 3
4.5%
201811 3
4.5%
201810 3
4.5%
201809 3
4.5%
201808 3
4.5%

수집년도
Categorical

CONSTANT 

Distinct1
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Memory size660.0 B
2021
66 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2021
2nd row2021
3rd row2021
4th row2021
5th row2021

Common Values

ValueCountFrequency (%)
2021 66
100.0%

Length

2024-01-10T06:22:52.979560image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-10T06:22:53.053865image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2021 66
100.0%

수집월
Categorical

CONSTANT 

Distinct1
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Memory size660.0 B
6
66 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row6
2nd row6
3rd row6
4th row6
5th row6

Common Values

ValueCountFrequency (%)
6 66
100.0%

Length

2024-01-10T06:22:53.130011image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-10T06:22:53.219250image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
6 66
100.0%

Interactions

2024-01-10T06:22:50.602406image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T06:22:48.421019image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T06:22:48.813962image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T06:22:49.195617image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T06:22:49.608473image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T06:22:50.110434image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T06:22:50.667106image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T06:22:48.487611image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T06:22:48.878436image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T06:22:49.261834image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T06:22:49.698092image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T06:22:50.196362image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T06:22:50.735998image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T06:22:48.561725image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T06:22:48.939719image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T06:22:49.328350image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T06:22:49.778608image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T06:22:50.275291image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T06:22:50.801812image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T06:22:48.620259image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T06:22:48.998903image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T06:22:49.392323image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T06:22:49.857811image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T06:22:50.348962image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T06:22:50.871646image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T06:22:48.684027image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T06:22:49.064075image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T06:22:49.463886image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T06:22:49.940789image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T06:22:50.440052image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T06:22:50.940177image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T06:22:48.749093image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T06:22:49.128897image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T06:22:49.531904image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T06:22:50.023367image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T06:22:50.516570image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-01-10T06:22:53.280961image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
번호활동지원1등급 인원수활동지원2등급 인원수활동지원3등급 인원수활동지원4등급 인원수활동장애코드자료생성일
번호1.0000.0000.0000.4130.4530.0000.932
활동지원1등급 인원수0.0001.0001.0001.0001.0001.0000.000
활동지원2등급 인원수0.0001.0001.0000.8630.7891.0000.000
활동지원3등급 인원수0.4131.0000.8631.0000.9621.0000.814
활동지원4등급 인원수0.4531.0000.7890.9621.0000.8900.603
활동장애코드0.0001.0001.0001.0000.8901.0000.000
자료생성일0.9320.0000.0000.8140.6030.0001.000
2024-01-10T06:22:53.375688image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
번호활동지원1등급 인원수활동지원2등급 인원수활동지원3등급 인원수활동지원4등급 인원수자료생성일활동장애코드
번호1.0000.2900.2920.3110.4210.9990.000
활동지원1등급 인원수0.2901.0000.9990.554-0.3470.3310.992
활동지원2등급 인원수0.2920.9991.0000.555-0.3460.3320.992
활동지원3등급 인원수0.3110.5540.5551.0000.5090.3320.968
활동지원4등급 인원수0.421-0.347-0.3460.5091.0000.3990.832
자료생성일0.9990.3310.3320.3320.3991.0000.000
활동장애코드0.0000.9920.9920.9680.8320.0001.000

Missing values

2024-01-10T06:22:51.058068image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-01-10T06:22:51.193669image/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

번호활동지원1등급 인원수활동지원2등급 인원수활동지원3등급 인원수활동지원4등급 인원수활동장애코드자료생성일수집년도수집월
01254232015077061595120161020216
121005478289154890220161020216
23552279482798320161020216
34258192093077081567120170920216
4510955426104205765220170920216
569936514833929320170920216
67258812104877621587120171020216
7811055500105935885220171020216
8910438115444048320171020216
910259182119877771576120171120216
번호활동지원1등급 인원수활동지원2등급 인원수활동지원3등급 인원수활동지원4등급 인원수활동장애코드자료생성일수집년도수집월
565715256524386012320190220216
5758266522248382261645120190320216
585913416686134547221220190320216
596015858325086193320190320216
6061267212261082661655120190420216
616213556780136407368220190420216
626316660326056350320190420216
6364267942270183001665120190520216
646513586832138027452220190520216
656616862626716474320190520216