Overview

Dataset statistics

Number of variables4
Number of observations174
Missing cells1
Missing cells (%)0.1%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory5.9 KiB
Average record size in memory34.8 B

Variable types

Categorical2
Text1
Numeric1

Dataset

Description대구보훈병원에서 개방하는 거주지별 내원환자 자연인현황 데이터로 년도(2022), 시도, 시군구, 자연인이 포함된데이터 입니다.
URLhttps://www.data.go.kr/data/15116543/fileData.do

Alerts

년도 has constant value ""Constant

Reproduction

Analysis started2023-12-12 10:30:23.564952
Analysis finished2023-12-12 10:30:23.948858
Duration0.38 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

년도
Categorical

CONSTANT 

Distinct1
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
2022
174 

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 174
100.0%

Length

2023-12-12T19:30:24.016909image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T19:30:24.115859image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2022 174
100.0%

시도
Categorical

Distinct17
Distinct (%)9.8%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
경기
28 
경북
25 
경남
22 
서울
19 
부산
14 
Other values (12)
66 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique1 ?
Unique (%)0.6%

Sample

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

Common Values

ValueCountFrequency (%)
경기 28
16.1%
경북 25
14.4%
경남 22
12.6%
서울 19
10.9%
부산 14
8.0%
강원 12
6.9%
충남 9
 
5.2%
충북 9
 
5.2%
대구 8
 
4.6%
대전 5
 
2.9%
Other values (7) 23
13.2%

Length

2023-12-12T19:30:24.239712image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
경기 28
16.1%
경북 25
14.4%
경남 22
12.6%
서울 19
10.9%
부산 14
8.0%
강원 12
6.9%
충남 9
 
5.2%
충북 9
 
5.2%
대구 8
 
4.6%
대전 5
 
2.9%
Other values (7) 23
13.2%
Distinct159
Distinct (%)91.9%
Missing1
Missing (%)0.6%
Memory size1.5 KiB
2023-12-12T19:30:24.551334image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length9
Median length3
Mean length3.4913295
Min length2

Characters and Unicode

Total characters604
Distinct characters116
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

Unique153 ?
Unique (%)88.4%

Sample

1st row동해시
2nd row속초시
3rd row양구군
4th row양양군
5th row영월군
ValueCountFrequency (%)
창원시 6
 
3.1%
남구 5
 
2.6%
북구 5
 
2.6%
동구 4
 
2.0%
포항시 3
 
1.5%
용인시 3
 
1.5%
성남시 3
 
1.5%
중구 3
 
1.5%
서구 3
 
1.5%
부천시 2
 
1.0%
Other values (153) 159
81.1%
2023-12-12T19:30:25.050938image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
83
 
13.7%
71
 
11.8%
45
 
7.5%
23
 
3.8%
20
 
3.3%
20
 
3.3%
16
 
2.6%
15
 
2.5%
14
 
2.3%
14
 
2.3%
Other values (106) 283
46.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 581
96.2%
Space Separator 23
 
3.8%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
83
 
14.3%
71
 
12.2%
45
 
7.7%
20
 
3.4%
20
 
3.4%
16
 
2.8%
15
 
2.6%
14
 
2.4%
14
 
2.4%
14
 
2.4%
Other values (105) 269
46.3%
Space Separator
ValueCountFrequency (%)
23
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 581
96.2%
Common 23
 
3.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
83
 
14.3%
71
 
12.2%
45
 
7.7%
20
 
3.4%
20
 
3.4%
16
 
2.8%
15
 
2.6%
14
 
2.4%
14
 
2.4%
14
 
2.4%
Other values (105) 269
46.3%
Common
ValueCountFrequency (%)
23
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 581
96.2%
ASCII 23
 
3.8%

Most frequent character per block

Hangul
ValueCountFrequency (%)
83
 
14.3%
71
 
12.2%
45
 
7.7%
20
 
3.4%
20
 
3.4%
16
 
2.8%
15
 
2.6%
14
 
2.4%
14
 
2.4%
14
 
2.4%
Other values (105) 269
46.3%
ASCII
ValueCountFrequency (%)
23
100.0%

자연인
Real number (ℝ)

Distinct40
Distinct (%)23.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean128.75287
Minimum1
Maximum10808
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.7 KiB
2023-12-12T19:30:25.217370image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q36.75
95-th percentile228.85
Maximum10808
Range10807
Interquartile range (IQR)5.75

Descriptive statistics

Standard deviation870.80355
Coefficient of variation (CV)6.7633718
Kurtosis133.23052
Mean128.75287
Median Absolute Deviation (MAD)1
Skewness11.079015
Sum22403
Variance758298.82
MonotonicityNot monotonic
2023-12-12T19:30:25.365634image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=40)
ValueCountFrequency (%)
1 63
36.2%
2 27
15.5%
3 14
 
8.0%
4 12
 
6.9%
5 7
 
4.0%
6 7
 
4.0%
7 3
 
1.7%
8 3
 
1.7%
63 2
 
1.1%
21 2
 
1.1%
Other values (30) 34
19.5%
ValueCountFrequency (%)
1 63
36.2%
2 27
15.5%
3 14
 
8.0%
4 12
 
6.9%
5 7
 
4.0%
6 7
 
4.0%
7 3
 
1.7%
8 3
 
1.7%
9 2
 
1.1%
10 2
 
1.1%
ValueCountFrequency (%)
10808 1
0.6%
3128 1
0.6%
1409 1
0.6%
1343 1
0.6%
1206 1
0.6%
1181 1
0.6%
654 1
0.6%
374 1
0.6%
340 1
0.6%
169 1
0.6%

Interactions

2023-12-12T19:30:23.710491image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T19:30:25.500676image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
시도자연인
시도1.0000.639
자연인0.6391.000
2023-12-12T19:30:25.624384image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
자연인시도
자연인1.0000.397
시도0.3971.000

Missing values

2023-12-12T19:30:23.833637image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T19:30:23.910818image/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
02022강원동해시1
12022강원속초시3
22022강원양구군1
32022강원양양군1
42022강원영월군2
52022강원원주시2
62022강원인제군1
72022강원정선군4
82022강원철원군1
92022강원춘천시1
년도시도시군구자연인
1642022충남홍성군1
1652022충북괴산군1
1662022충북단양군3
1672022충북영동군2
1682022충북옥천군3
1692022충북제천시1
1702022충북진천군1
1712022충북청주시 청원구1
1722022충북청주시 흥덕구3
1732022충북충주시2