Overview

Dataset statistics

Number of variables3
Number of observations54
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.5 KiB
Average record size in memory28.4 B

Variable types

Numeric2
Categorical1

Dataset

Description행정구역단위 구분별 현황 데이터입니다.
Author충청남도
URLhttps://alldam.chungnam.go.kr/bigdata/collect/view.chungnam?menuCd=DOM_000000201001001000&apiIdx=148

Alerts

수 is highly overall correlated with 구역단위구분High correlation
구역단위구분 is highly overall correlated with 수High correlation

Reproduction

Analysis started2024-01-09 21:50:24.244719
Analysis finished2024-01-09 21:50:24.730464
Duration0.49 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

기준연도
Real number (ℝ)

Distinct9
Distinct (%)16.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2017
Minimum2013
Maximum2021
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size618.0 B
2024-01-10T06:50:24.769878image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2013
5-th percentile2013
Q12015
median2017
Q32019
95-th percentile2021
Maximum2021
Range8
Interquartile range (IQR)4

Descriptive statistics

Standard deviation2.6062335
Coefficient of variation (CV)0.0012921336
Kurtosis-1.2320701
Mean2017
Median Absolute Deviation (MAD)2
Skewness0
Sum108918
Variance6.7924528
MonotonicityDecreasing
2024-01-10T06:50:24.858577image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
2021 6
11.1%
2020 6
11.1%
2019 6
11.1%
2018 6
11.1%
2017 6
11.1%
2016 6
11.1%
2015 6
11.1%
2014 6
11.1%
2013 6
11.1%
ValueCountFrequency (%)
2013 6
11.1%
2014 6
11.1%
2015 6
11.1%
2016 6
11.1%
2017 6
11.1%
2018 6
11.1%
2019 6
11.1%
2020 6
11.1%
2021 6
11.1%
ValueCountFrequency (%)
2021 6
11.1%
2020 6
11.1%
2019 6
11.1%
2018 6
11.1%
2017 6
11.1%
2016 6
11.1%
2015 6
11.1%
2014 6
11.1%
2013 6
11.1%

구역단위구분
Categorical

HIGH CORRELATION 

Distinct6
Distinct (%)11.1%
Missing0
Missing (%)0.0%
Memory size564.0 B
읍
9 
면
9 
동
9 
통
9 
리
9 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row읍
2nd row면
3rd row동
4th row통
5th row리

Common Values

ValueCountFrequency (%)
읍 9
16.7%
면 9
16.7%
동 9
16.7%
통 9
16.7%
리 9
16.7%
반 9
16.7%

Length

2024-01-10T06:50:24.955895image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-10T06:50:25.041526image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
읍 9
16.7%
면 9
16.7%
동 9
16.7%
통 9
16.7%
리 9
16.7%
반 9
16.7%

수
Real number (ℝ)

HIGH CORRELATION 

Distinct33
Distinct (%)61.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5105.8889
Minimum24
Maximum25423
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size618.0 B
2024-01-10T06:50:25.132247image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum24
5-th percentile24
Q146
median655.5
Q34365.5
95-th percentile25102.25
Maximum25423
Range25399
Interquartile range (IQR)4319.5

Descriptive statistics

Standard deviation9013.416
Coefficient of variation (CV)1.7652981
Kurtosis1.2141989
Mean5105.8889
Median Absolute Deviation (MAD)631
Skewness1.730558
Sum275718
Variance81241668
MonotonicityNot monotonic
2024-01-10T06:50:25.258566image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=33)
ValueCountFrequency (%)
46 8
 
14.8%
25 5
 
9.3%
136 5
 
9.3%
137 4
 
7.4%
24 4
 
7.4%
4286 1
 
1.9%
1174 1
 
1.9%
24101 1
 
1.9%
24030 1
 
1.9%
4300 1
 
1.9%
Other values (23) 23
42.6%
ValueCountFrequency (%)
24 4
7.4%
25 5
9.3%
46 8
14.8%
47 1
 
1.9%
136 5
9.3%
137 4
7.4%
1174 1
 
1.9%
1177 1
 
1.9%
1206 1
 
1.9%
1277 1
 
1.9%
ValueCountFrequency (%)
25423 1
1.9%
25238 1
1.9%
25229 1
1.9%
25034 1
1.9%
24879 1
1.9%
24744 1
1.9%
24314 1
1.9%
24101 1
1.9%
24030 1
1.9%
4428 1
1.9%

Interactions

2024-01-10T06:50:24.493080image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T06:50:24.321706image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T06:50:24.576607image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T06:50:24.412978image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-01-10T06:50:25.337347image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
기준연도구역단위구분수
기준연도1.0000.0000.000
구역단위구분0.0001.0001.000
수0.0001.0001.000
2024-01-10T06:50:25.402476image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
기준연도수구역단위구분
기준연도1.0000.0910.000
수0.0911.0000.970
구역단위구분0.0000.9701.000

Missing values

2024-01-10T06:50:24.651912image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-01-10T06:50:24.706523image/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

기준연도구역단위구분수
02021읍25
12021면136
22021동47
32021통1391
42021리4428
52021반25423
62020읍25
72020면136
82020동46
92020통1384
기준연도구역단위구분수
442014동46
452014통1177
462014리4300
472014반24101
482013읍24
492013면137
502013동46
512013통1174
522013리4286
532013반24030