Overview

Dataset statistics

Number of variables5
Number of observations24
Missing cells0
Missing cells (%)0.0%
Duplicate rows1
Duplicate rows (%)4.2%
Total size in memory1.2 KiB
Average record size in memory50.5 B

Variable types

Categorical4
Numeric1

Dataset

Description의료급여 수급권자에 대한 연도 별 통계로, 보호 종별 코드 별 분류 및 보호유형코드와 65세 이상여부를 분류하여 인원수를 나타낸 내역. 컬럼명은 통계년도, 통계보호종별코드, 통계보호유형코드, 65세이상여부, 통계인원수
URLhttps://www.data.go.kr/data/15121275/fileData.do

Alerts

통계보호종별코드 has constant value ""Constant
통계보호유형코드 has constant value ""Constant
65세이상여부 has constant value ""Constant
Dataset has 1 (4.2%) duplicate rowsDuplicates

Reproduction

Analysis started2023-12-12 21:25:14.917326
Analysis finished2023-12-12 21:25:15.255923
Duration0.34 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

통계년도
Categorical

Distinct2
Distinct (%)8.3%
Missing0
Missing (%)0.0%
Memory size324.0 B
2007
12 
2006
12 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2007
2nd row2007
3rd row2007
4th row2007
5th row2007

Common Values

ValueCountFrequency (%)
2007 12
50.0%
2006 12
50.0%

Length

2023-12-13T06:25:15.334443image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T06:25:15.427020image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2007 12
50.0%
2006 12
50.0%

통계보호종별코드
Categorical

CONSTANT 

Distinct1
Distinct (%)4.2%
Missing0
Missing (%)0.0%
Memory size324.0 B
1
24 

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 24
100.0%

Length

2023-12-13T06:25:15.532800image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T06:25:15.618456image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 24
100.0%

통계보호유형코드
Categorical

CONSTANT 

Distinct1
Distinct (%)4.2%
Missing0
Missing (%)0.0%
Memory size324.0 B
1
24 

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 24
100.0%

Length

2023-12-13T06:25:15.712666image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T06:25:15.802145image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 24
100.0%

65세이상여부
Categorical

CONSTANT 

Distinct1
Distinct (%)4.2%
Missing0
Missing (%)0.0%
Memory size324.0 B
1
24 

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 24
100.0%

Length

2023-12-13T06:25:15.896411image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T06:25:15.990264image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 24
100.0%

통계인원수
Real number (ℝ)

Distinct23
Distinct (%)95.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean539.75
Minimum24
Maximum4523
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size348.0 B
2023-12-13T06:25:16.080040image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum24
5-th percentile34.7
Q1120
median234.5
Q3588
95-th percentile987.5
Maximum4523
Range4499
Interquartile range (IQR)468

Descriptive statistics

Standard deviation903.73285
Coefficient of variation (CV)1.6743545
Kurtosis17.919166
Mean539.75
Median Absolute Deviation (MAD)186.5
Skewness4.0140391
Sum12954
Variance816733.07
MonotonicityNot monotonic
2023-12-13T06:25:16.193537image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=23)
ValueCountFrequency (%)
123 2
 
8.3%
200 1
 
4.2%
890 1
 
4.2%
234 1
 
4.2%
663 1
 
4.2%
235 1
 
4.2%
111 1
 
4.2%
4523 1
 
4.2%
29 1
 
4.2%
24 1
 
4.2%
Other values (13) 13
54.2%
ValueCountFrequency (%)
24 1
4.2%
29 1
4.2%
67 1
4.2%
94 1
4.2%
109 1
4.2%
111 1
4.2%
123 2
8.3%
129 1
4.2%
193 1
4.2%
200 1
4.2%
ValueCountFrequency (%)
4523 1
4.2%
998 1
4.2%
928 1
4.2%
898 1
4.2%
890 1
4.2%
663 1
4.2%
563 1
4.2%
493 1
4.2%
481 1
4.2%
452 1
4.2%

Interactions

2023-12-13T06:25:14.999704image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-13T06:25:16.280167image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
통계년도통계인원수
통계년도1.0000.367
통계인원수0.3671.000
2023-12-13T06:25:16.384293image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
통계인원수통계년도
통계인원수1.0000.222
통계년도0.2221.000

Missing values

2023-12-13T06:25:15.105586image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T06:25:15.210214image/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

통계년도통계보호종별코드통계보호유형코드65세이상여부통계인원수
02007111200
12007111890
22007111452
32007111129
42007111563
52007111193
62007111493
72007111109
82007111481
92007111898
통계년도통계보호종별코드통계보호유형코드65세이상여부통계인원수
14200611167
15200611124
16200611129
1720061114523
182006111111
192006111235
202006111663
212006111234
222006111123
232006111123

Duplicate rows

Most frequently occurring

통계년도통계보호종별코드통계보호유형코드65세이상여부통계인원수# duplicates
020061111232