Overview

Dataset statistics

Number of variables3
Number of observations22
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory704.0 B
Average record size in memory32.0 B

Variable types

Text1
Numeric2

Dataset

Description대구광역시 동구_동별 무연고 사망자 현황_20221101
Author대구광역시 동구
URLhttp://data.daegu.go.kr/open/data/dataView.do?dataSetId=15107796&dataSetDetailId=151077961fd29d51843bb&provdMethod=FILE

Alerts

2020년 무연고 사망자 is highly overall correlated with 2021년 무연고 사망자High correlation
2021년 무연고 사망자 is highly overall correlated with 2020년 무연고 사망자High correlation
동 has unique valuesUnique
2020년 무연고 사망자 has 6 (27.3%) zerosZeros
2021년 무연고 사망자 has 5 (22.7%) zerosZeros

Reproduction

Analysis started2023-11-03 16:44:48.842413
Analysis finished2023-11-03 16:44:52.024163
Duration3.18 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

동
Text

UNIQUE 

Distinct22
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size308.0 B
2023-11-04T01:44:52.279054image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length6
Median length4
Mean length3.8181818
Min length3

Characters and Unicode

Total characters84
Distinct characters28
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique22 ?
Unique (%)100.0%

Sample

1st row신암1동
2nd row신암2동
3rd row신암3동
4th row신암4동
5th row신암5동
ValueCountFrequency (%)
신암1동 1
 
4.5%
신암2동 1
 
4.5%
혁신동 1
 
4.5%
안심4동 1
 
4.5%
안심3동 1
 
4.5%
안심2동 1
 
4.5%
안심1동 1
 
4.5%
해안동 1
 
4.5%
방촌동 1
 
4.5%
동촌동 1
 
4.5%
Other values (12) 12
54.5%
2023-11-04T01:44:52.870801image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
동 23
27.4%
신 9
 
10.7%
암 5
 
6.0%
안 5
 
6.0%
1 4
 
4.8%
2 4
 
4.8%
심 4
 
4.8%
3 3
 
3.6%
4 3
 
3.6%
천 3
 
3.6%
Other values (18) 21
25.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 68
81.0%
Decimal Number 15
 
17.9%
Other Punctuation 1
 
1.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 23
33.8%
신 9
 
13.2%
암 5
 
7.4%
안 5
 
7.4%
심 4
 
5.9%
천 3
 
4.4%
목 2
 
2.9%
촌 2
 
2.9%
효 2
 
2.9%
저 1
 
1.5%
Other values (12) 12
17.6%
Decimal Number
ValueCountFrequency (%)
1 4
26.7%
2 4
26.7%
3 3
20.0%
4 3
20.0%
5 1
 
6.7%
Other Punctuation
ValueCountFrequency (%)
, 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 68
81.0%
Common 16
 
19.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 23
33.8%
신 9
 
13.2%
암 5
 
7.4%
안 5
 
7.4%
심 4
 
5.9%
천 3
 
4.4%
목 2
 
2.9%
촌 2
 
2.9%
효 2
 
2.9%
저 1
 
1.5%
Other values (12) 12
17.6%
Common
ValueCountFrequency (%)
1 4
25.0%
2 4
25.0%
3 3
18.8%
4 3
18.8%
, 1
 
6.2%
5 1
 
6.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 68
81.0%
ASCII 16
 
19.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
동 23
33.8%
신 9
 
13.2%
암 5
 
7.4%
안 5
 
7.4%
심 4
 
5.9%
천 3
 
4.4%
목 2
 
2.9%
촌 2
 
2.9%
효 2
 
2.9%
저 1
 
1.5%
Other values (12) 12
17.6%
ASCII
ValueCountFrequency (%)
1 4
25.0%
2 4
25.0%
3 3
18.8%
4 3
18.8%
, 1
 
6.2%
5 1
 
6.2%

2020년 무연고 사망자
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct6
Distinct (%)27.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.7727273
Minimum0
Maximum7
Zeros6
Zeros (%)27.3%
Negative0
Negative (%)0.0%
Memory size330.0 B
2023-11-04T01:44:53.080001image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10.25
median1.5
Q32.75
95-th percentile4
Maximum7
Range7
Interquartile range (IQR)2.5

Descriptive statistics

Standard deviation1.7438823
Coefficient of variation (CV)0.98372849
Kurtosis2.4400302
Mean1.7727273
Median Absolute Deviation (MAD)1.5
Skewness1.3314262
Sum39
Variance3.0411255
MonotonicityNot monotonic
2023-11-04T01:44:53.254714image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
0 6
27.3%
2 5
22.7%
1 5
22.7%
3 3
13.6%
4 2
 
9.1%
7 1
 
4.5%
ValueCountFrequency (%)
0 6
27.3%
1 5
22.7%
2 5
22.7%
3 3
13.6%
4 2
 
9.1%
7 1
 
4.5%
ValueCountFrequency (%)
7 1
 
4.5%
4 2
 
9.1%
3 3
13.6%
2 5
22.7%
1 5
22.7%
0 6
27.3%

2021년 무연고 사망자
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct8
Distinct (%)36.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.5909091
Minimum0
Maximum7
Zeros5
Zeros (%)22.7%
Negative0
Negative (%)0.0%
Memory size330.0 B
2023-11-04T01:44:53.430114image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11.25
median2
Q33.75
95-th percentile6
Maximum7
Range7
Interquartile range (IQR)2.5

Descriptive statistics

Standard deviation2.1304838
Coefficient of variation (CV)0.82229198
Kurtosis-0.55150513
Mean2.5909091
Median Absolute Deviation (MAD)1.5
Skewness0.56056637
Sum57
Variance4.538961
MonotonicityNot monotonic
2023-11-04T01:44:53.650291image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
2 7
31.8%
0 5
22.7%
3 3
13.6%
6 2
 
9.1%
5 2
 
9.1%
4 1
 
4.5%
7 1
 
4.5%
1 1
 
4.5%
ValueCountFrequency (%)
0 5
22.7%
1 1
 
4.5%
2 7
31.8%
3 3
13.6%
4 1
 
4.5%
5 2
 
9.1%
6 2
 
9.1%
7 1
 
4.5%
ValueCountFrequency (%)
7 1
 
4.5%
6 2
 
9.1%
5 2
 
9.1%
4 1
 
4.5%
3 3
13.6%
2 7
31.8%
1 1
 
4.5%
0 5
22.7%

Interactions

2023-11-04T01:44:51.413657image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-11-04T01:44:50.987353image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-11-04T01:44:51.574037image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-11-04T01:44:51.236567image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-11-04T01:44:53.801204image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
동2020년 무연고 사망자2021년 무연고 사망자
동1.0001.0001.000
2020년 무연고 사망자1.0001.0000.669
2021년 무연고 사망자1.0000.6691.000
2023-11-04T01:44:53.943069image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2020년 무연고 사망자2021년 무연고 사망자
2020년 무연고 사망자1.0000.562
2021년 무연고 사망자0.5621.000

Missing values

2023-11-04T01:44:51.821269image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-11-04T01:44:51.957954image/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

동2020년 무연고 사망자2021년 무연고 사망자
0신암1동22
1신암2동00
2신암3동22
3신암4동26
4신암5동10
5신천1,2동06
6신천3동22
7신천4동12
8효목1동23
9효목2동45
동2020년 무연고 사망자2021년 무연고 사망자
12지저동42
13동촌동35
14방촌동34
15해안동02
16안심1동77
17안심2동13
18안심3동33
19안심4동01
20혁신동00
21공산동02