Overview

Dataset statistics

Number of variables3
Number of observations22
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory678.0 B
Average record size in memory30.8 B

Variable types

Categorical1
Text1
Numeric1

Dataset

Description관내의 각 읍면과 해당 읍면에 소재한 마을별 인구 수에 대한 공공데이터로 읍면 이름과 마을 이름 및 인구 수에 대한 통계 자료가 포함되어 있다.
Author전라남도 고흥군
URLhttps://www.data.go.kr/data/15127026/fileData.do

Alerts

인구 수 is highly overall correlated with 읍면High correlation
읍면 is highly overall correlated with 인구 수High correlation
리 has unique valuesUnique
인구 수 has unique valuesUnique

Reproduction

Analysis started2024-03-14 17:59:33.278496
Analysis finished2024-03-14 17:59:34.119542
Duration0.84 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

읍면
Categorical

HIGH CORRELATION 

Distinct8
Distinct (%)36.4%
Missing0
Missing (%)0.0%
Memory size304.0 B
포두면
6 
도화면
6 
동일면
3 
봉래면
2 
풍양면
2 
Other values (3)
3 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique3 ?
Unique (%)13.6%

Sample

1st row고흥읍
2nd row포두면
3rd row포두면
4th row포두면
5th row포두면

Common Values

ValueCountFrequency (%)
포두면 6
27.3%
도화면 6
27.3%
동일면 3
13.6%
봉래면 2
 
9.1%
풍양면 2
 
9.1%
고흥읍 1
 
4.5%
도양읍 1
 
4.5%
도덕면 1
 
4.5%

Length

2024-03-15T02:59:34.333934image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-15T02:59:34.685834image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
포두면 6
27.3%
도화면 6
27.3%
동일면 3
13.6%
봉래면 2
 
9.1%
풍양면 2
 
9.1%
고흥읍 1
 
4.5%
도양읍 1
 
4.5%
도덕면 1
 
4.5%

리
Text

UNIQUE 

Distinct22
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size304.0 B
2024-03-15T02:59:35.480121image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters66
Distinct characters38
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
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 row호형리
2nd row장수리
3rd row길두리
4th row세동리
5th row차동리
ValueCountFrequency (%)
호형리 1
 
4.5%
장수리 1
 
4.5%
덕중리 1
 
4.5%
발포리 1
 
4.5%
사덕리 1
 
4.5%
당오리 1
 
4.5%
가화리 1
 
4.5%
풍남리 1
 
4.5%
매곡리 1
 
4.5%
오마리 1
 
4.5%
Other values (12) 12
54.5%
2024-03-15T02:59:36.608629image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
리 22
33.3%
봉 3
 
4.5%
덕 3
 
4.5%
남 2
 
3.0%
오 2
 
3.0%
동 2
 
3.0%
호 1
 
1.5%
암 1
 
1.5%
마 1
 
1.5%
매 1
 
1.5%
Other values (28) 28
42.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 66
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
리 22
33.3%
봉 3
 
4.5%
덕 3
 
4.5%
남 2
 
3.0%
오 2
 
3.0%
동 2
 
3.0%
호 1
 
1.5%
암 1
 
1.5%
마 1
 
1.5%
매 1
 
1.5%
Other values (28) 28
42.4%

Most occurring scripts

ValueCountFrequency (%)
Hangul 66
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
리 22
33.3%
봉 3
 
4.5%
덕 3
 
4.5%
남 2
 
3.0%
오 2
 
3.0%
동 2
 
3.0%
호 1
 
1.5%
암 1
 
1.5%
마 1
 
1.5%
매 1
 
1.5%
Other values (28) 28
42.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 66
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
리 22
33.3%
봉 3
 
4.5%
덕 3
 
4.5%
남 2
 
3.0%
오 2
 
3.0%
동 2
 
3.0%
호 1
 
1.5%
암 1
 
1.5%
마 1
 
1.5%
매 1
 
1.5%
Other values (28) 28
42.4%

인구 수
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct22
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean814.40909
Minimum140
Maximum7927
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size326.0 B
2024-03-15T02:59:36.981538image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum140
5-th percentile170.55
Q1257.75
median394.5
Q3590.25
95-th percentile1237.35
Maximum7927
Range7787
Interquartile range (IQR)332.5

Descriptive statistics

Standard deviation1618.356
Coefficient of variation (CV)1.9871536
Kurtosis20.18782
Mean814.40909
Median Absolute Deviation (MAD)169
Skewness4.4200425
Sum17917
Variance2619076.1
MonotonicityNot monotonic
2024-03-15T02:59:37.311043image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=22)
ValueCountFrequency (%)
1246 1
 
4.5%
7927 1
 
4.5%
181 1
 
4.5%
140 1
 
4.5%
316 1
 
4.5%
280 1
 
4.5%
851 1
 
4.5%
579 1
 
4.5%
594 1
 
4.5%
212 1
 
4.5%
Other values (12) 12
54.5%
ValueCountFrequency (%)
140 1
4.5%
170 1
4.5%
181 1
4.5%
212 1
4.5%
239 1
4.5%
255 1
4.5%
266 1
4.5%
280 1
4.5%
292 1
4.5%
316 1
4.5%
ValueCountFrequency (%)
7927 1
4.5%
1246 1
4.5%
1073 1
4.5%
986 1
4.5%
851 1
4.5%
594 1
4.5%
579 1
4.5%
531 1
4.5%
508 1
4.5%
482 1
4.5%

Interactions

2024-03-15T02:59:33.403457image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-03-15T02:59:37.535980image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
읍면리인구 수
읍면1.0001.0000.836
리1.0001.0001.000
인구 수0.8361.0001.000
2024-03-15T02:59:37.784970image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
인구 수읍면
인구 수1.0000.671
읍면0.6711.000

Missing values

2024-03-15T02:59:33.766246image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-15T02:59:34.019469image/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

읍면리인구 수
0고흥읍호형리1246
1포두면장수리170
2포두면길두리986
3포두면세동리266
4포두면차동리255
5포두면옥강리379
6포두면남성리531
7동일면덕흥리508
8동일면백양리410
9동일면봉영리482
읍면리인구 수
12도양읍봉암리7927
13도덕면오마리292
14풍양면매곡리212
15풍양면풍남리594
16도화면가화리579
17도화면당오리851
18도화면사덕리280
19도화면발포리316
20도화면덕중리140
21도화면봉산리181