Overview

Dataset statistics

Number of variables4
Number of observations196
Missing cells1
Missing cells (%)0.1%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory6.6 KiB
Average record size in memory34.7 B

Variable types

Categorical2
Text1
Numeric1

Dataset

Description광주보훈병원에서 개방하는 거주지별 내원환자 자연인 현황 데이터로 년도, 시도, 시군구, 자연인이 포함된 데이터입니다.
URLhttps://www.data.go.kr/data/15116555/fileData.do

Alerts

년도 has constant value ""Constant

Reproduction

Analysis started2023-12-12 18:08:57.739637
Analysis finished2023-12-12 18:08:58.070521
Duration0.33 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

년도
Categorical

CONSTANT 

Distinct1
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
2022
196 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2022
2nd row2022
3rd row2022
4th row2022
5th row2022

Common Values

ValueCountFrequency (%)
2022 196
100.0%

Length

2023-12-13T03:08:58.134456image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T03:08:58.238522image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2022 196
100.0%

시도
Categorical

Distinct17
Distinct (%)8.7%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
경기
40 
서울
25 
전남
22 
전북
16 
경남
15 
Other values (12)
78 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
경기 40
20.4%
서울 25
12.8%
전남 22
11.2%
전북 16
 
8.2%
경남 15
 
7.7%
충남 13
 
6.6%
부산 11
 
5.6%
인천 9
 
4.6%
경북 8
 
4.1%
강원 6
 
3.1%
Other values (7) 31
15.8%

Length

2023-12-13T03:08:58.336568image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
경기 40
20.4%
서울 25
12.8%
전남 22
11.2%
전북 16
 
8.2%
경남 15
 
7.7%
충남 13
 
6.6%
부산 11
 
5.6%
인천 9
 
4.6%
경북 8
 
4.1%
강원 6
 
3.1%
Other values (7) 31
15.8%

시군구
Text

Distinct182
Distinct (%)93.3%
Missing1
Missing (%)0.5%
Memory size1.7 KiB
2023-12-13T03:08:58.647640image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length9
Median length3
Mean length3.6
Min length2

Characters and Unicode

Total characters702
Distinct characters130
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique176 ?
Unique (%)90.3%

Sample

1st row강릉시
2nd row동해시
3rd row삼척시
4th row양양군
5th row원주시
ValueCountFrequency (%)
동구 5
 
2.2%
북구 5
 
2.2%
성남시 4
 
1.8%
수원시 4
 
1.8%
창원시 4
 
1.8%
전주시 3
 
1.3%
용인시 3
 
1.3%
중구 3
 
1.3%
서구 3
 
1.3%
청주시 3
 
1.3%
Other values (180) 188
83.6%
2023-12-13T03:08:59.136693image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
구 94
 
13.4%
시 88
 
12.5%
군 48
 
6.8%
30
 
4.3%
주 20
 
2.8%
양 19
 
2.7%
원 19
 
2.7%
산 17
 
2.4%
성 17
 
2.4%
동 17
 
2.4%
Other values (120) 333
47.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 672
95.7%
Space Separator 30
 
4.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 94
 
14.0%
시 88
 
13.1%
군 48
 
7.1%
주 20
 
3.0%
양 19
 
2.8%
원 19
 
2.8%
산 17
 
2.5%
성 17
 
2.5%
동 17
 
2.5%
천 15
 
2.2%
Other values (119) 318
47.3%
Space Separator
ValueCountFrequency (%)
30
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 672
95.7%
Common 30
 
4.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 94
 
14.0%
시 88
 
13.1%
군 48
 
7.1%
주 20
 
3.0%
양 19
 
2.8%
원 19
 
2.8%
산 17
 
2.5%
성 17
 
2.5%
동 17
 
2.5%
천 15
 
2.2%
Other values (119) 318
47.3%
Common
ValueCountFrequency (%)
30
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 672
95.7%
ASCII 30
 
4.3%

Most frequent character per block

Hangul
ValueCountFrequency (%)
구 94
 
14.0%
시 88
 
13.1%
군 48
 
7.1%
주 20
 
3.0%
양 19
 
2.8%
원 19
 
2.8%
산 17
 
2.5%
성 17
 
2.5%
동 17
 
2.5%
천 15
 
2.2%
Other values (119) 318
47.3%
ASCII
ValueCountFrequency (%)
30
100.0%

자연인
Real number (ℝ)

Distinct45
Distinct (%)23.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean119.95918
Minimum1
Maximum9048
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-13T03:08:59.343045image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median3
Q38
95-th percentile171.75
Maximum9048
Range9047
Interquartile range (IQR)7

Descriptive statistics

Standard deviation789.57446
Coefficient of variation (CV)6.5820259
Kurtosis99.536108
Mean119.95918
Median Absolute Deviation (MAD)2
Skewness9.6835566
Sum23512
Variance623427.82
MonotonicityNot monotonic
2023-12-13T03:08:59.479502image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=45)
ValueCountFrequency (%)
1 50
25.5%
3 29
14.8%
2 20
 
10.2%
5 13
 
6.6%
4 13
 
6.6%
6 11
 
5.6%
7 7
 
3.6%
8 7
 
3.6%
9 6
 
3.1%
12 2
 
1.0%
Other values (35) 38
19.4%
ValueCountFrequency (%)
1 50
25.5%
2 20
 
10.2%
3 29
14.8%
4 13
 
6.6%
5 13
 
6.6%
6 11
 
5.6%
7 7
 
3.6%
8 7
 
3.6%
9 6
 
3.1%
12 2
 
1.0%
ValueCountFrequency (%)
9048 1
0.5%
5969 1
0.5%
2041 1
0.5%
1176 1
0.5%
606 1
0.5%
555 1
0.5%
409 1
0.5%
407 1
0.5%
245 1
0.5%
174 1
0.5%

Interactions

2023-12-13T03:08:57.870049image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-13T03:08:59.567618image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
시도자연인
시도1.0000.595
자연인0.5951.000
2023-12-13T03:08:59.647743image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
자연인시도
자연인1.0000.345
시도0.3451.000

Missing values

2023-12-13T03:08:57.966769image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T03:08:58.042263image/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

년도시도시군구자연인
02022강원강릉시6
12022강원동해시1
22022강원삼척시2
32022강원양양군1
42022강원원주시6
52022강원철원군1
62022경기고양시 덕양구9
72022경기고양시 일산동구2
82022경기고양시 일산서구2
92022경기광명시1
년도시도시군구자연인
1862022충남천안시 동남구3
1872022충남천안시 서북구5
1882022충남태안군1
1892022충남홍성군1
1902022충북단양군1
1912022충북제천시4
1922022충북증평군1
1932022충북청주시 서원구2
1942022충북청주시 청원구2
1952022충북청주시 흥덕구3