Overview

Dataset statistics

Number of variables8
Number of observations185
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory12.2 KiB
Average record size in memory67.7 B

Variable types

Categorical5
Numeric3

Dataset

Description강원도 춘천시 독거노인현황 자료로 시도명, 시군구명, 행정동명, 연령대, 인구수, 남자인구수, 여자인구수, 데이터기준일자를 담고 있음
Author강원도 춘천시
URLhttps://www.data.go.kr/data/15081202/fileData.do

Alerts

시도명 has constant value ""Constant
시군구명 has constant value ""Constant
데이터기준일자 has constant value ""Constant
인구수 is highly overall correlated with 남자인구수 and 1 other fieldsHigh correlation
남자인구수 is highly overall correlated with 인구수 and 1 other fieldsHigh correlation
여자인구수 is highly overall correlated with 인구수 and 1 other fieldsHigh correlation
남자인구수 has 20 (10.8%) zerosZeros
여자인구수 has 3 (1.6%) zerosZeros

Reproduction

Analysis started2023-12-12 08:50:49.261904
Analysis finished2023-12-12 08:50:50.740416
Duration1.48 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

시도명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
강원도
185 

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 185
100.0%

Length

2023-12-12T17:50:50.810750image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T17:50:50.913363image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
강원도 185
100.0%

시군구명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
춘천시
185 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
춘천시 185
100.0%

Length

2023-12-12T17:50:51.025867image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T17:50:51.136957image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
춘천시 185
100.0%

행정동명
Categorical

Distinct25
Distinct (%)13.5%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
신북읍
 
8
후평3동
 
8
남산면
 
8
서면
 
8
동내면
 
8
Other values (20)
145 

Length

Max length4
Median length3
Mean length3.1783784
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
신북읍 8
 
4.3%
후평3동 8
 
4.3%
남산면 8
 
4.3%
서면 8
 
4.3%
동내면 8
 
4.3%
후평1동 8
 
4.3%
신사우동 8
 
4.3%
효자1동 8
 
4.3%
효자2동 8
 
4.3%
석사동 8
 
4.3%
Other values (15) 105
56.8%

Length

2023-12-12T17:50:51.250571image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
신북읍 8
 
4.3%
신사우동 8
 
4.3%
후평3동 8
 
4.3%
강남동 8
 
4.3%
석사동 8
 
4.3%
효자1동 8
 
4.3%
효자2동 8
 
4.3%
후평1동 8
 
4.3%
동내면 8
 
4.3%
서면 8
 
4.3%
Other values (15) 105
56.8%

연령
Categorical

Distinct8
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
65 - 69
25 
70 - 74
25 
75 - 79
25 
80 - 84
25 
85 - 89
25 
Other values (3)
60 

Length

Max length9
Median length7
Mean length7.1189189
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row65 - 69
2nd row70 - 74
3rd row75 - 79
4th row80 - 84
5th row85 - 89

Common Values

ValueCountFrequency (%)
65 - 69 25
13.5%
70 - 74 25
13.5%
75 - 79 25
13.5%
80 - 84 25
13.5%
85 - 89 25
13.5%
90 - 94 25
13.5%
95 - 99 24
13.0%
100 - 104 11
5.9%

Length

2023-12-12T17:50:51.448655image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T17:50:51.658536image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
185
33.3%
65 25
 
4.5%
80 25
 
4.5%
94 25
 
4.5%
90 25
 
4.5%
89 25
 
4.5%
85 25
 
4.5%
84 25
 
4.5%
79 25
 
4.5%
75 25
 
4.5%
Other values (7) 145
26.1%

인구수
Real number (ℝ)

HIGH CORRELATION 

Distinct105
Distinct (%)56.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean80.708108
Minimum1
Maximum443
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.8 KiB
2023-12-12T17:50:51.902212image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q119
median51
Q3122
95-th percentile259
Maximum443
Range442
Interquartile range (IQR)103

Descriptive statistics

Standard deviation84.962723
Coefficient of variation (CV)1.0527161
Kurtosis2.3001145
Mean80.708108
Median Absolute Deviation (MAD)43
Skewness1.530054
Sum14931
Variance7218.6643
MonotonicityNot monotonic
2023-12-12T17:50:52.105226image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 13
 
7.0%
26 6
 
3.2%
2 5
 
2.7%
4 5
 
2.7%
32 4
 
2.2%
27 4
 
2.2%
67 4
 
2.2%
47 3
 
1.6%
8 3
 
1.6%
5 3
 
1.6%
Other values (95) 135
73.0%
ValueCountFrequency (%)
1 13
7.0%
2 5
 
2.7%
3 2
 
1.1%
4 5
 
2.7%
5 3
 
1.6%
6 3
 
1.6%
7 2
 
1.1%
8 3
 
1.6%
9 2
 
1.1%
10 2
 
1.1%
ValueCountFrequency (%)
443 1
0.5%
374 1
0.5%
334 1
0.5%
314 1
0.5%
298 1
0.5%
290 2
1.1%
278 1
0.5%
276 1
0.5%
261 1
0.5%
251 1
0.5%

남자인구수
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct67
Distinct (%)36.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean24.859459
Minimum0
Maximum164
Zeros20
Zeros (%)10.8%
Negative0
Negative (%)0.0%
Memory size1.8 KiB
2023-12-12T17:50:52.280765image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q13
median13
Q334
95-th percentile82.8
Maximum164
Range164
Interquartile range (IQR)31

Descriptive statistics

Standard deviation31.03052
Coefficient of variation (CV)1.2482379
Kurtosis4.5415647
Mean24.859459
Median Absolute Deviation (MAD)12
Skewness2.0153037
Sum4599
Variance962.89318
MonotonicityNot monotonic
2023-12-12T17:50:52.481972image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 20
 
10.8%
1 18
 
9.7%
2 8
 
4.3%
4 6
 
3.2%
3 6
 
3.2%
9 5
 
2.7%
21 5
 
2.7%
11 5
 
2.7%
8 5
 
2.7%
5 5
 
2.7%
Other values (57) 102
55.1%
ValueCountFrequency (%)
0 20
10.8%
1 18
9.7%
2 8
 
4.3%
3 6
 
3.2%
4 6
 
3.2%
5 5
 
2.7%
6 4
 
2.2%
7 4
 
2.2%
8 5
 
2.7%
9 5
 
2.7%
ValueCountFrequency (%)
164 1
0.5%
143 1
0.5%
138 1
0.5%
137 1
0.5%
127 1
0.5%
110 1
0.5%
108 1
0.5%
105 1
0.5%
83 2
1.1%
82 1
0.5%

여자인구수
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct106
Distinct (%)57.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean55.848649
Minimum0
Maximum305
Zeros3
Zeros (%)1.6%
Negative0
Negative (%)0.0%
Memory size1.8 KiB
2023-12-12T17:50:52.673106image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q113
median37
Q386
95-th percentile178.8
Maximum305
Range305
Interquartile range (IQR)73

Descriptive statistics

Standard deviation58.193444
Coefficient of variation (CV)1.0419848
Kurtosis2.1139609
Mean55.848649
Median Absolute Deviation (MAD)30
Skewness1.4902903
Sum10332
Variance3386.477
MonotonicityNot monotonic
2023-12-12T17:50:52.847126image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 11
 
5.9%
2 7
 
3.8%
23 5
 
2.7%
42 4
 
2.2%
19 4
 
2.2%
3 4
 
2.2%
43 4
 
2.2%
4 4
 
2.2%
10 3
 
1.6%
25 3
 
1.6%
Other values (96) 136
73.5%
ValueCountFrequency (%)
0 3
 
1.6%
1 11
5.9%
2 7
3.8%
3 4
 
2.2%
4 4
 
2.2%
5 2
 
1.1%
6 3
 
1.6%
7 3
 
1.6%
8 3
 
1.6%
9 1
 
0.5%
ValueCountFrequency (%)
305 1
0.5%
244 1
0.5%
233 1
0.5%
210 1
0.5%
203 1
0.5%
202 1
0.5%
193 1
0.5%
191 1
0.5%
182 1
0.5%
179 1
0.5%

데이터기준일자
Categorical

CONSTANT 

Distinct1
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
2022-06-20
185 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2022-06-20
2nd row2022-06-20
3rd row2022-06-20
4th row2022-06-20
5th row2022-06-20

Common Values

ValueCountFrequency (%)
2022-06-20 185
100.0%

Length

2023-12-12T17:50:53.347181image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T17:50:53.492947image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2022-06-20 185
100.0%

Interactions

2023-12-12T17:50:50.136644image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T17:50:49.535607image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T17:50:49.828409image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T17:50:50.241488image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T17:50:49.634600image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T17:50:49.930187image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T17:50:50.350486image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T17:50:49.728286image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T17:50:50.040985image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T17:50:53.607644image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
행정동명연령인구수남자인구수여자인구수
행정동명1.0000.0000.5680.0000.637
연령0.0001.0000.4990.5560.437
인구수0.5680.4991.0000.9310.880
남자인구수0.0000.5560.9311.0000.710
여자인구수0.6370.4370.8800.7101.000
2023-12-12T17:50:53.749190image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연령행정동명
연령1.0000.000
행정동명0.0001.000
2023-12-12T17:50:53.875074image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
인구수남자인구수여자인구수행정동명연령
인구수1.0000.9390.9820.2250.263
남자인구수0.9391.0000.8670.0000.298
여자인구수0.9820.8671.0000.2890.231
행정동명0.2250.0000.2891.0000.000
연령0.2630.2980.2310.0001.000

Missing values

2023-12-12T17:50:50.517930image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T17:50:50.690399image/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

시도명시군구명행정동명연령인구수남자인구수여자인구수데이터기준일자
0강원도춘천시신북읍65 - 6915678782022-06-20
1강원도춘천시신북읍70 - 7410949602022-06-20
2강원도춘천시신북읍75 - 7911428862022-06-20
3강원도춘천시신북읍80 - 84139361032022-06-20
4강원도춘천시신북읍85 - 898615712022-06-20
5강원도춘천시신북읍90 - 94345292022-06-20
6강원도춘천시신북읍95 - 994132022-06-20
7강원도춘천시신북읍100 - 1041012022-06-20
8강원도춘천시동면65 - 692901371532022-06-20
9강원도춘천시동면70 - 7413943962022-06-20
시도명시군구명행정동명연령인구수남자인구수여자인구수데이터기준일자
175강원도춘천시강남동95 - 997072022-06-20
176강원도춘천시강남동100 - 1041012022-06-20
177강원도춘천시신사우동65 - 692901081822022-06-20
178강원도춘천시신사우동70 - 74197821152022-06-20
179강원도춘천시신사우동75 - 79189451442022-06-20
180강원도춘천시신사우동80 - 84202501522022-06-20
181강원도춘천시신사우동85 - 8912129922022-06-20
182강원도춘천시신사우동90 - 94301292022-06-20
183강원도춘천시신사우동95 - 99144102022-06-20
184강원도춘천시신사우동100 - 1041012022-06-20