Overview

Dataset statistics

Number of variables6
Number of observations2235
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory107.1 KiB
Average record size in memory49.1 B

Variable types

Numeric1
Categorical3
DateTime2

Dataset

Description경상남도 거창군 치매환자 현황에 대한 데이터로 치매환자의 거주지역, 성별, 출생년도, 치매 진단일자를 제공합니다.
Author경상남도 거창군
URLhttps://www.data.go.kr/data/15094376/fileData.do

Alerts

데이터 기준일자 has constant value ""Constant
번호 is highly overall correlated with 주소High correlation
주소 is highly overall correlated with 번호High correlation
번호 has unique valuesUnique

Reproduction

Analysis started2023-12-13 00:35:54.856718
Analysis finished2023-12-13 00:35:55.240166
Duration0.38 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct2235
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1118
Minimum1
Maximum2235
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size19.8 KiB
2023-12-13T09:35:55.297084image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile112.7
Q1559.5
median1118
Q31676.5
95-th percentile2123.3
Maximum2235
Range2234
Interquartile range (IQR)1117

Descriptive statistics

Standard deviation645.33325
Coefficient of variation (CV)0.57722115
Kurtosis-1.2
Mean1118
Median Absolute Deviation (MAD)559
Skewness0
Sum2498730
Variance416455
MonotonicityStrictly increasing
2023-12-13T09:35:55.397097image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
< 0.1%
1494 1
 
< 0.1%
1488 1
 
< 0.1%
1489 1
 
< 0.1%
1490 1
 
< 0.1%
1491 1
 
< 0.1%
1492 1
 
< 0.1%
1493 1
 
< 0.1%
1495 1
 
< 0.1%
1503 1
 
< 0.1%
Other values (2225) 2225
99.6%
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 (%)
2235 1
< 0.1%
2234 1
< 0.1%
2233 1
< 0.1%
2232 1
< 0.1%
2231 1
< 0.1%
2230 1
< 0.1%
2229 1
< 0.1%
2228 1
< 0.1%
2227 1
< 0.1%
2226 1
< 0.1%

주소
Categorical

HIGH CORRELATION 

Distinct12
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size17.6 KiB
거창읍
852 
신원면
218 
남상면
182 
마리면
143 
위천면
129 
Other values (7)
711 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
거창읍 852
38.1%
신원면 218
 
9.8%
남상면 182
 
8.1%
마리면 143
 
6.4%
위천면 129
 
5.8%
북상면 119
 
5.3%
주상면 107
 
4.8%
가조면 104
 
4.7%
웅양면 100
 
4.5%
가북면 99
 
4.4%
Other values (2) 182
 
8.1%

Length

2023-12-13T09:35:55.485979image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
거창읍 852
38.1%
신원면 218
 
9.8%
남상면 182
 
8.1%
마리면 143
 
6.4%
위천면 129
 
5.8%
북상면 119
 
5.3%
주상면 107
 
4.8%
가조면 104
 
4.7%
웅양면 100
 
4.5%
가북면 99
 
4.4%
Other values (2) 182
 
8.1%

성별
Categorical

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size17.6 KiB
여
1676 
남
559 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row남
2nd row여
3rd row남
4th row남
5th row여

Common Values

ValueCountFrequency (%)
여 1676
75.0%
남 559
 
25.0%

Length

2023-12-13T09:35:55.570989image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T09:35:55.648028image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
여 1676
75.0%
남 559
 
25.0%

생년월일
Date

Distinct1927
Distinct (%)86.2%
Missing0
Missing (%)0.0%
Memory size17.6 KiB
Minimum1912-02-01 00:00:00
Maximum1972-10-27 00:00:00
2023-12-13T09:35:55.731621image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T09:35:55.831895image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

진단일
Date

Distinct1016
Distinct (%)45.5%
Missing0
Missing (%)0.0%
Memory size17.6 KiB
Minimum2007-03-10 00:00:00
Maximum2023-09-27 00:00:00
2023-12-13T09:35:55.938842image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T09:35:56.055791image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

데이터 기준일자
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size17.6 KiB
2023-10-04
2235 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2023-10-04
2nd row2023-10-04
3rd row2023-10-04
4th row2023-10-04
5th row2023-10-04

Common Values

ValueCountFrequency (%)
2023-10-04 2235
100.0%

Length

2023-12-13T09:35:56.152545image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T09:35:56.224659image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2023-10-04 2235
100.0%

Interactions

2023-12-13T09:35:55.006586image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-13T09:35:56.280555image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
번호주소성별
번호1.0000.9260.163
주소0.9261.0000.066
성별0.1630.0661.000
2023-12-13T09:35:56.355970image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
주소성별
주소1.0000.051
성별0.0511.000
2023-12-13T09:35:56.415626image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
번호주소성별
번호1.0000.7390.125
주소0.7391.0000.051
성별0.1250.0511.000

Missing values

2023-12-13T09:35:55.112298image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T09:35:55.208564image/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

번호주소성별생년월일진단일데이터 기준일자
01거창읍남1941-09-022023-09-222023-10-04
12거창읍여1949-05-282023-08-292023-10-04
23거창읍남1956-04-272023-08-302023-10-04
34거창읍남1945-09-102023-08-212023-10-04
45거창읍여1926-02-052023-08-112023-10-04
56거창읍여1929-02-082023-08-112023-10-04
67거창읍여1935-09-122023-08-112023-10-04
78거창읍여1930-08-282023-08-112023-10-04
89거창읍여1935-12-082023-08-112023-10-04
910거창읍여1939-02-072023-08-112023-10-04
번호주소성별생년월일진단일데이터 기준일자
22252226가북면여1933-03-082021-05-262023-10-04
22262227가북면여1935-04-042021-09-072023-10-04
22272228가북면여1935-03-032020-02-062023-10-04
22282229가북면여1931-08-102019-07-232023-10-04
22292230가북면남1936-07-172012-08-272023-10-04
22302231가북면남1937-12-072019-01-152023-10-04
22312232가북면여1938-06-092022-05-202023-10-04
22322233가북면여1936-09-062019-01-152023-10-04
22332234가북면여1943-03-252018-02-202023-10-04
22342235가북면여1939-04-052020-02-042023-10-04