Overview

Dataset statistics

Number of variables8
Number of observations3960
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory274.7 KiB
Average record size in memory71.0 B

Variable types

Numeric3
Categorical5

Dataset

Description국민연금 장애인지원 장애유형별 수급현황입니다. 활동지원등급, 활동지원장애유형, 활동장애등급코드 정보를 제공합니다.
Author충청남도
URLhttps://alldam.chungnam.go.kr/bigdata/collect/view.chungnam?menuCd=DOM_000000201001001000&apiIdx=126

Alerts

수집년도 has constant value ""Constant
수집월 has constant value ""Constant
번호 is highly overall correlated with 자료생성일High correlation
자료생성일 is highly overall correlated with 번호High correlation
번호 has unique valuesUnique
인원수 has 429 (10.8%) zerosZeros

Reproduction

Analysis started2024-01-09 20:22:26.907934
Analysis finished2024-01-09 20:22:28.146323
Duration1.24 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct3960
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1980.5
Minimum1
Maximum3960
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size34.9 KiB
2024-01-10T05:22:28.218972image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile198.95
Q1990.75
median1980.5
Q32970.25
95-th percentile3762.05
Maximum3960
Range3959
Interquartile range (IQR)1979.5

Descriptive statistics

Standard deviation1143.2979
Coefficient of variation (CV)0.57727739
Kurtosis-1.2
Mean1980.5
Median Absolute Deviation (MAD)990
Skewness0
Sum7842780
Variance1307130
MonotonicityStrictly increasing
2024-01-10T05:22:28.389529image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
< 0.1%
2632 1
 
< 0.1%
2634 1
 
< 0.1%
2635 1
 
< 0.1%
2636 1
 
< 0.1%
2637 1
 
< 0.1%
2638 1
 
< 0.1%
2639 1
 
< 0.1%
2640 1
 
< 0.1%
2641 1
 
< 0.1%
Other values (3950) 3950
99.7%
ValueCountFrequency (%)
1 1
< 0.1%
2 1
< 0.1%
3 1
< 0.1%
4 1
< 0.1%
5 1
< 0.1%
6 1
< 0.1%
7 1
< 0.1%
8 1
< 0.1%
9 1
< 0.1%
10 1
< 0.1%
ValueCountFrequency (%)
3960 1
< 0.1%
3959 1
< 0.1%
3958 1
< 0.1%
3957 1
< 0.1%
3956 1
< 0.1%
3955 1
< 0.1%
3954 1
< 0.1%
3953 1
< 0.1%
3952 1
< 0.1%
3951 1
< 0.1%

활동지원등급
Categorical

Distinct4
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size31.1 KiB
1
990 
2
990 
3
990 
4
990 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
1 990
25.0%
2 990
25.0%
3 990
25.0%
4 990
25.0%

Length

2024-01-10T05:22:28.523267image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-10T05:22:28.630121image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 990
25.0%
2 990
25.0%
3 990
25.0%
4 990
25.0%

활동지원장애유형코드
Categorical

Distinct15
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size31.1 KiB
10
 
264
20
 
264
30
 
264
40
 
264
50
 
264
Other values (10)
2640 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row10
2nd row20
3rd row30
4th row40
5th row50

Common Values

ValueCountFrequency (%)
10 264
 
6.7%
20 264
 
6.7%
30 264
 
6.7%
40 264
 
6.7%
50 264
 
6.7%
60 264
 
6.7%
70 264
 
6.7%
80 264
 
6.7%
90 264
 
6.7%
A0 264
 
6.7%
Other values (5) 1320
33.3%

Length

2024-01-10T05:22:28.757501image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
10 264
 
6.7%
20 264
 
6.7%
30 264
 
6.7%
40 264
 
6.7%
50 264
 
6.7%
60 264
 
6.7%
70 264
 
6.7%
80 264
 
6.7%
90 264
 
6.7%
a0 264
 
6.7%
Other values (5) 1320
33.3%

활동장애등급코드
Categorical

Distinct3
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size31.1 KiB
1
1320 
2
1320 
3
1320 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
1 1320
33.3%
2 1320
33.3%
3 1320
33.3%

Length

2024-01-10T05:22:28.851679image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-10T05:22:28.933547image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 1320
33.3%
2 1320
33.3%
3 1320
33.3%

자료생성일
Real number (ℝ)

HIGH CORRELATION 

Distinct22
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean201802.05
Minimum201610
Maximum201905
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size34.9 KiB
2024-01-10T05:22:29.011607image/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 deviation74.403601
Coefficient of variation (CV)0.00036869597
Kurtosis0.20924681
Mean201802.05
Median Absolute Deviation (MAD)5.5
Skewness-0.55247908
Sum7.991361 × 108
Variance5535.8959
MonotonicityIncreasing
2024-01-10T05:22:29.107705image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=22)
ValueCountFrequency (%)
201610 180
 
4.5%
201808 180
 
4.5%
201905 180
 
4.5%
201904 180
 
4.5%
201903 180
 
4.5%
201902 180
 
4.5%
201901 180
 
4.5%
201812 180
 
4.5%
201811 180
 
4.5%
201810 180
 
4.5%
Other values (12) 2160
54.5%
ValueCountFrequency (%)
201610 180
4.5%
201709 180
4.5%
201710 180
4.5%
201711 180
4.5%
201712 180
4.5%
201801 180
4.5%
201802 180
4.5%
201803 180
4.5%
201804 180
4.5%
201805 180
4.5%
ValueCountFrequency (%)
201905 180
4.5%
201904 180
4.5%
201903 180
4.5%
201902 180
4.5%
201901 180
4.5%
201812 180
4.5%
201811 180
4.5%
201810 180
4.5%
201809 180
4.5%
201808 180
4.5%

인원수
Real number (ℝ)

ZEROS 

Distinct912
Distinct (%)23.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean505.74571
Minimum0
Maximum8361
Zeros429
Zeros (%)10.8%
Negative0
Negative (%)0.0%
Memory size34.9 KiB
2024-01-10T05:22:29.214212image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q13
median22
Q3205
95-th percentile2958.15
Maximum8361
Range8361
Interquartile range (IQR)202

Descriptive statistics

Standard deviation1391.6712
Coefficient of variation (CV)2.7517213
Kurtosis14.889944
Mean505.74571
Median Absolute Deviation (MAD)22
Skewness3.823381
Sum2002753
Variance1936748.8
MonotonicityNot monotonic
2024-01-10T05:22:29.337505image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 429
 
10.8%
2 266
 
6.7%
1 252
 
6.4%
3 219
 
5.5%
4 162
 
4.1%
5 85
 
2.1%
6 57
 
1.4%
19 53
 
1.3%
9 46
 
1.2%
22 46
 
1.2%
Other values (902) 2345
59.2%
ValueCountFrequency (%)
0 429
10.8%
1 252
6.4%
2 266
6.7%
3 219
5.5%
4 162
 
4.1%
5 85
 
2.1%
6 57
 
1.4%
7 31
 
0.8%
8 41
 
1.0%
9 46
 
1.2%
ValueCountFrequency (%)
8361 1
< 0.1%
8339 1
< 0.1%
8328 1
< 0.1%
8312 1
< 0.1%
8289 1
< 0.1%
8279 1
< 0.1%
8258 1
< 0.1%
8245 1
< 0.1%
8241 1
< 0.1%
8216 1
< 0.1%

수집년도
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size31.1 KiB
2021
3960 

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 3960
100.0%

Length

2024-01-10T05:22:29.460386image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-10T05:22:29.542512image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2021 3960
100.0%

수집월
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size31.1 KiB
6
3960 

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 3960
100.0%

Length

2024-01-10T05:22:29.616678image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-10T05:22:29.689436image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
6 3960
100.0%

Interactions

2024-01-10T05:22:27.718639image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T05:22:27.233335image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T05:22:27.477993image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T05:22:27.811622image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T05:22:27.321664image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T05:22:27.557058image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T05:22:27.894423image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T05:22:27.402641image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T05:22:27.634301image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-01-10T05:22:29.737871image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
번호활동지원등급활동지원장애유형코드활동장애등급코드자료생성일인원수
번호1.0000.0000.0000.1040.9430.000
활동지원등급0.0001.0000.0000.0000.0000.209
활동지원장애유형코드0.0000.0001.0000.0000.0000.594
활동장애등급코드0.1040.0000.0001.0000.0000.409
자료생성일0.9430.0000.0000.0001.0000.031
인원수0.0000.2090.5940.4090.0311.000
2024-01-10T05:22:29.832526image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
활동장애등급코드활동지원장애유형코드활동지원등급
활동장애등급코드1.0000.0000.000
활동지원장애유형코드0.0001.0000.000
활동지원등급0.0000.0001.000
2024-01-10T05:22:29.906815image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
번호자료생성일인원수활동지원등급활동지원장애유형코드활동장애등급코드
번호1.0000.9990.0240.0000.0000.062
자료생성일0.9991.0000.0330.0000.0000.000
인원수0.0240.0331.0000.1350.2890.198
활동지원등급0.0000.0000.1351.0000.0000.000
활동지원장애유형코드0.0000.0000.2890.0001.0000.000
활동장애등급코드0.0620.0000.1980.0000.0001.000

Missing values

2024-01-10T05:22:27.995156image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-01-10T05:22:28.102184image/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

번호활동지원등급활동지원장애유형코드활동장애등급코드자료생성일인원수수집년도수집월
011101201610614920216
121201201610236820216
2313012016103720216
341401201610620216
451501201610639920216
561601201610784820216
671701201610247620216
7818012016102220216
8919012016105620216
9101A01201610420216
번호활동지원등급활동지원장애유형코드활동장애등급코드자료생성일인원수수집년도수집월
39503951460320190567320216
39513952470320190531320216
39523953480320190578520216
395339544903201905220216
395439554A032019051220216
395539564B032019051620216
395639574C03201905320216
395739584D03201905220216
395839594E03201905620216
395939604F032019053620216