Overview

Dataset statistics

Number of variables7
Number of observations61
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory3.6 KiB
Average record size in memory61.2 B

Variable types

Categorical4
Numeric3

Dataset

Description강원도 인제군의 연도별(2010년, 2015년, 2020년 ), 읍면동별, 연령대별 1인 가구 현황을 제공합니다.
Author강원도 인제군
URLhttps://www.data.go.kr/data/15100573/fileData.do

Alerts

시도 has constant value ""Constant
시군구 has constant value ""Constant
2010년 is highly overall correlated with 2015년 and 1 other fieldsHigh correlation
2015년 is highly overall correlated with 2010년 and 1 other fieldsHigh correlation
2020년 is highly overall correlated with 2010년 and 1 other fieldsHigh correlation
2010년 has 6 (9.8%) zerosZeros
2015년 has 9 (14.8%) zerosZeros
2020년 has 6 (9.8%) zerosZeros

Reproduction

Analysis started2023-12-12 20:41:14.646281
Analysis finished2023-12-12 20:41:15.988503
Duration1.34 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

시도
Categorical

CONSTANT 

Distinct1
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Memory size620.0 B
강원도
61 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
강원도 61
100.0%

Length

2023-12-13T05:41:16.057991image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T05:41:16.172657image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
강원도 61
100.0%

시군구
Categorical

CONSTANT 

Distinct1
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Memory size620.0 B
인제군
61 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
인제군 61
100.0%

Length

2023-12-13T05:41:16.271615image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T05:41:16.389126image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
인제군 61
100.0%

읍면동
Categorical

Distinct6
Distinct (%)9.8%
Missing0
Missing (%)0.0%
Memory size620.0 B
인제읍
11 
남면
10 
북면
10 
기린면
10 
서화면
10 

Length

Max length3
Median length3
Mean length2.6721311
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
인제읍 11
18.0%
남면 10
16.4%
북면 10
16.4%
기린면 10
16.4%
서화면 10
16.4%
상남면 10
16.4%

Length

2023-12-13T05:41:16.770224image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T05:41:16.873427image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
인제읍 11
18.0%
남면 10
16.4%
북면 10
16.4%
기린면 10
16.4%
서화면 10
16.4%
상남면 10
16.4%

연령별
Categorical

Distinct11
Distinct (%)18.0%
Missing0
Missing (%)0.0%
Memory size620.0 B
0 ~ 9
6 
10 ~ 19
6 
20 ~ 29
6 
30 ~ 39
6 
40 ~ 49
6 
Other values (6)
31 

Length

Max length9
Median length7
Mean length6.8360656
Min length5

Unique

Unique1 ?
Unique (%)1.6%

Sample

1st row0 ~ 9
2nd row10 ~ 19
3rd row20 ~ 29
4th row30 ~ 39
5th row40 ~ 49

Common Values

ValueCountFrequency (%)
0 ~ 9 6
9.8%
10 ~ 19 6
9.8%
20 ~ 29 6
9.8%
30 ~ 39 6
9.8%
40 ~ 49 6
9.8%
50 ~ 59 6
9.8%
60 ~ 69 6
9.8%
70 ~ 79 6
9.8%
80 ~ 89 6
9.8%
90 ~ 99 6
9.8%

Length

2023-12-13T05:41:17.025194image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
61
33.3%
0 6
 
3.3%
99 6
 
3.3%
90 6
 
3.3%
89 6
 
3.3%
80 6
 
3.3%
79 6
 
3.3%
70 6
 
3.3%
69 6
 
3.3%
60 6
 
3.3%
Other values (13) 68
37.2%

2010년
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct51
Distinct (%)83.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean133.19672
Minimum0
Maximum465
Zeros6
Zeros (%)9.8%
Negative0
Negative (%)0.0%
Memory size681.0 B
2023-12-13T05:41:17.166214image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q114
median89
Q3222
95-th percentile411
Maximum465
Range465
Interquartile range (IQR)208

Descriptive statistics

Standard deviation134.48814
Coefficient of variation (CV)1.0096956
Kurtosis0.07818013
Mean133.19672
Median Absolute Deviation (MAD)80
Skewness1.0091648
Sum8125
Variance18087.061
MonotonicityNot monotonic
2023-12-13T05:41:17.292956image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 6
 
9.8%
11 2
 
3.3%
38 2
 
3.3%
18 2
 
3.3%
7 2
 
3.3%
89 2
 
3.3%
45 1
 
1.6%
149 1
 
1.6%
173 1
 
1.6%
266 1
 
1.6%
Other values (41) 41
67.2%
ValueCountFrequency (%)
0 6
9.8%
1 1
 
1.6%
2 1
 
1.6%
7 2
 
3.3%
9 1
 
1.6%
10 1
 
1.6%
11 2
 
3.3%
12 1
 
1.6%
14 1
 
1.6%
18 2
 
3.3%
ValueCountFrequency (%)
465 1
1.6%
450 1
1.6%
434 1
1.6%
411 1
1.6%
404 1
1.6%
395 1
1.6%
384 1
1.6%
277 1
1.6%
266 1
1.6%
262 1
1.6%

2015년
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct46
Distinct (%)75.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean133.19672
Minimum0
Maximum524
Zeros9
Zeros (%)14.8%
Negative0
Negative (%)0.0%
Memory size681.0 B
2023-12-13T05:41:17.420729image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q128
median117
Q3211
95-th percentile345
Maximum524
Range524
Interquartile range (IQR)183

Descriptive statistics

Standard deviation123.80991
Coefficient of variation (CV)0.92952671
Kurtosis0.85216091
Mean133.19672
Median Absolute Deviation (MAD)93
Skewness1.0139168
Sum8125
Variance15328.894
MonotonicityNot monotonic
2023-12-13T05:41:17.556356image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=46)
ValueCountFrequency (%)
0 9
 
14.8%
211 2
 
3.3%
218 2
 
3.3%
305 2
 
3.3%
198 2
 
3.3%
1 2
 
3.3%
77 2
 
3.3%
42 2
 
3.3%
117 1
 
1.6%
143 1
 
1.6%
Other values (36) 36
59.0%
ValueCountFrequency (%)
0 9
14.8%
1 2
 
3.3%
3 1
 
1.6%
4 1
 
1.6%
14 1
 
1.6%
26 1
 
1.6%
28 1
 
1.6%
37 1
 
1.6%
42 2
 
3.3%
55 1
 
1.6%
ValueCountFrequency (%)
524 1
1.6%
475 1
1.6%
351 1
1.6%
345 1
1.6%
327 1
1.6%
309 1
1.6%
305 2
3.3%
263 1
1.6%
247 1
1.6%
232 1
1.6%

2020년
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct51
Distinct (%)83.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean133.19672
Minimum0
Maximum465
Zeros6
Zeros (%)9.8%
Negative0
Negative (%)0.0%
Memory size681.0 B
2023-12-13T05:41:17.684876image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q114
median89
Q3222
95-th percentile411
Maximum465
Range465
Interquartile range (IQR)208

Descriptive statistics

Standard deviation134.48814
Coefficient of variation (CV)1.0096956
Kurtosis0.07818013
Mean133.19672
Median Absolute Deviation (MAD)80
Skewness1.0091648
Sum8125
Variance18087.061
MonotonicityNot monotonic
2023-12-13T05:41:17.814138image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 6
 
9.8%
11 2
 
3.3%
38 2
 
3.3%
18 2
 
3.3%
7 2
 
3.3%
89 2
 
3.3%
70 1
 
1.6%
149 1
 
1.6%
173 1
 
1.6%
266 1
 
1.6%
Other values (41) 41
67.2%
ValueCountFrequency (%)
0 6
9.8%
1 1
 
1.6%
2 1
 
1.6%
7 2
 
3.3%
9 1
 
1.6%
10 1
 
1.6%
11 2
 
3.3%
12 1
 
1.6%
14 1
 
1.6%
18 2
 
3.3%
ValueCountFrequency (%)
465 1
1.6%
450 1
1.6%
434 1
1.6%
411 1
1.6%
404 1
1.6%
395 1
1.6%
384 1
1.6%
277 1
1.6%
266 1
1.6%
262 1
1.6%

Interactions

2023-12-13T05:41:15.474413image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T05:41:14.888033image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T05:41:15.158666image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T05:41:15.570924image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T05:41:14.982410image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T05:41:15.253391image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T05:41:15.669883image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T05:41:15.076902image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T05:41:15.380414image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-13T05:41:17.903902image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
읍면동연령별2010년2015년2020년
읍면동1.0000.0000.1430.2450.143
연령별0.0001.0000.6000.6190.600
2010년0.1430.6001.0000.8700.745
2015년0.2450.6190.8701.0000.857
2020년0.1430.6000.7450.8571.000
2023-12-13T05:41:17.996767image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연령별읍면동
연령별1.0000.000
읍면동0.0001.000
2023-12-13T05:41:18.092744image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2010년2015년2020년읍면동연령별
2010년1.0000.8990.5510.0630.322
2015년0.8991.0000.8110.1280.337
2020년0.5510.8111.0000.0630.322
읍면동0.0630.1280.0631.0000.000
연령별0.3220.3370.3220.0001.000

Missing values

2023-12-13T05:41:15.806310image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T05:41:15.935877image/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

시도시군구읍면동연령별2010년2015년2020년
0강원도인제군인제읍0 ~ 91100
1강원도인제군인제읍10 ~ 1940419711
2강원도인제군인제읍20 ~ 29222345404
3강원도인제군인제읍30 ~ 39262211222
4강원도인제군인제읍40 ~ 49434351262
5강원도인제군인제읍50 ~ 59395475434
6강원도인제군인제읍60 ~ 69232263395
7강원도인제군인제읍70 ~ 79140218232
8강원도인제군인제읍80 ~ 891855140
9강원도인제군인제읍90 ~ 991418
시도시군구읍면동연령별2010년2015년2020년
51강원도인제군상남면0 ~ 91400
52강원도인제군상남면10 ~ 1919615214
53강원도인제군상남면20 ~ 293884196
54강원도인제군상남면30 ~ 39562838
55강원도인제군상남면40 ~ 491147756
56강원도인제군상남면50 ~ 59137149114
57강원도인제군상남면60 ~ 696493137
58강원도인제군상남면70 ~ 79386264
59강원도인제군상남면80 ~ 8921438
60강원도인제군상남면90 ~ 99002