Overview

Dataset statistics

Number of variables9
Number of observations945
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory70.3 KiB
Average record size in memory76.1 B

Variable types

Categorical5
Numeric3
DateTime1

Dataset

Description강원도 강릉시의 연도별(2010년, 2015년, 2020년), 읍면동별, 성별, 연령대별 1인 가구 현황을 제공합니다.
Author강원도 강릉시
URLhttps://www.data.go.kr/data/15100495/fileData.do

Alerts

시도 has constant value ""Constant
시군구 has constant value ""Constant
기준일자 has constant value ""Constant
1인가구 is highly overall correlated with 남 and 1 other fieldsHigh correlation
남 is highly overall correlated with 1인가구 and 1 other fieldsHigh correlation
여 is highly overall correlated with 1인가구 and 1 other fieldsHigh correlation
남 has 24 (2.5%) zerosZeros

Reproduction

Analysis started2023-12-12 04:05:12.499824
Analysis finished2023-12-12 04:05:14.497780
Duration2 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연도
Categorical

Distinct3
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size7.5 KiB
2010
315 
2015
315 
2020
315 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2010
2nd row2010
3rd row2010
4th row2010
5th row2010

Common Values

ValueCountFrequency (%)
2010 315
33.3%
2015 315
33.3%
2020 315
33.3%

Length

2023-12-12T13:05:14.586641image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T13:05:14.716558image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2010 315
33.3%
2015 315
33.3%
2020 315
33.3%

시도
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size7.5 KiB
강원도
945 

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 945
100.0%

Length

2023-12-12T13:05:14.882434image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T13:05:15.049977image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
강원도 945
100.0%

시군구
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size7.5 KiB
강릉시
945 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
강릉시 945
100.0%

Length

2023-12-12T13:05:15.218594image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T13:05:15.387266image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
강릉시 945
100.0%

읍면동
Categorical

Distinct21
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Memory size7.5 KiB
주문진읍
 
45
성산면
 
45
왕산면
 
45
구정면
 
45
강동면
 
45
Other values (16)
720 

Length

Max length4
Median length3
Mean length3.1428571
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
주문진읍 45
 
4.8%
성산면 45
 
4.8%
왕산면 45
 
4.8%
구정면 45
 
4.8%
강동면 45
 
4.8%
옥계면 45
 
4.8%
사천면 45
 
4.8%
연곡면 45
 
4.8%
홍제동 45
 
4.8%
중앙동 45
 
4.8%
Other values (11) 495
52.4%

Length

2023-12-12T13:05:15.559592image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
주문진읍 45
 
4.8%
교1동 45
 
4.8%
성덕동 45
 
4.8%
강남동 45
 
4.8%
내곡동 45
 
4.8%
송정동 45
 
4.8%
초당동 45
 
4.8%
포남2동 45
 
4.8%
포남1동 45
 
4.8%
교2동 45
 
4.8%
Other values (11) 495
52.4%

연령별(세)
Categorical

Distinct15
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Memory size7.5 KiB
20세 미만
 
63
20~24
 
63
25~29
 
63
30~34
 
63
35~39
 
63
Other values (10)
630 

Length

Max length6
Median length5
Mean length5.1333333
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row20세 미만
2nd row20~24
3rd row25~29
4th row30~34
5th row35~39

Common Values

ValueCountFrequency (%)
20세 미만 63
 
6.7%
20~24 63
 
6.7%
25~29 63
 
6.7%
30~34 63
 
6.7%
35~39 63
 
6.7%
40~44 63
 
6.7%
45~49 63
 
6.7%
50~54 63
 
6.7%
55~59 63
 
6.7%
60~64 63
 
6.7%
Other values (5) 315
33.3%

Length

2023-12-12T13:05:15.711034image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
20세 63
 
5.9%
55~59 63
 
5.9%
85세 63
 
5.9%
80~84 63
 
5.9%
75~79 63
 
5.9%
70~74 63
 
5.9%
65~69 63
 
5.9%
60~64 63
 
5.9%
50~54 63
 
5.9%
미만 63
 
5.9%
Other values (7) 441
41.2%

1인가구
Real number (ℝ)

HIGH CORRELATION 

Distinct227
Distinct (%)24.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean140.10053
Minimum0
Maximum1195
Zeros3
Zeros (%)0.3%
Negative0
Negative (%)0.0%
Memory size8.4 KiB
2023-12-12T13:05:15.880665image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile11
Q155
median102
Q3188
95-th percentile375
Maximum1195
Range1195
Interquartile range (IQR)133

Descriptive statistics

Standard deviation128.07826
Coefficient of variation (CV)0.9141883
Kurtosis9.0546712
Mean140.10053
Median Absolute Deviation (MAD)60
Skewness2.2335367
Sum132395
Variance16404.042
MonotonicityNot monotonic
2023-12-12T13:05:16.065364image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
65 16
 
1.7%
69 15
 
1.6%
90 14
 
1.5%
100 12
 
1.3%
56 12
 
1.3%
150 12
 
1.3%
102 12
 
1.3%
70 10
 
1.1%
66 10
 
1.1%
123 9
 
1.0%
Other values (217) 823
87.1%
ValueCountFrequency (%)
0 3
 
0.3%
1 5
0.5%
2 5
0.5%
3 1
 
0.1%
4 4
0.4%
5 5
0.5%
6 3
 
0.3%
7 4
0.4%
8 9
1.0%
9 3
 
0.3%
ValueCountFrequency (%)
1195 1
 
0.1%
1022 1
 
0.1%
798 1
 
0.1%
712 1
 
0.1%
637 3
0.3%
607 2
0.2%
588 1
 
0.1%
579 1
 
0.1%
550 3
0.3%
525 3
0.3%

남
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct164
Distinct (%)17.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean68.344974
Minimum0
Maximum659
Zeros24
Zeros (%)2.5%
Negative0
Negative (%)0.0%
Memory size8.4 KiB
2023-12-12T13:05:16.216040image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile3
Q120
median46
Q394
95-th percentile193.6
Maximum659
Range659
Interquartile range (IQR)74

Descriptive statistics

Standard deviation69.940119
Coefficient of variation (CV)1.0233396
Kurtosis11.633951
Mean68.344974
Median Absolute Deviation (MAD)34
Skewness2.4964295
Sum64586
Variance4891.6203
MonotonicityNot monotonic
2023-12-12T13:05:16.404388image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 24
 
2.5%
8 23
 
2.4%
14 21
 
2.2%
7 18
 
1.9%
32 17
 
1.8%
35 16
 
1.7%
51 15
 
1.6%
4 15
 
1.6%
41 15
 
1.6%
21 14
 
1.5%
Other values (154) 767
81.2%
ValueCountFrequency (%)
0 24
2.5%
1 12
1.3%
2 11
1.2%
3 6
 
0.6%
4 15
1.6%
5 3
 
0.3%
6 10
1.1%
7 18
1.9%
8 23
2.4%
9 9
 
1.0%
ValueCountFrequency (%)
659 1
 
0.1%
614 1
 
0.1%
477 1
 
0.1%
395 1
 
0.1%
357 2
0.2%
339 1
 
0.1%
316 1
 
0.1%
305 3
0.3%
302 1
 
0.1%
300 3
0.3%

여
Real number (ℝ)

HIGH CORRELATION 

Distinct159
Distinct (%)16.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean71.78836
Minimum0
Maximum536
Zeros4
Zeros (%)0.4%
Negative0
Negative (%)0.0%
Memory size8.4 KiB
2023-12-12T13:05:16.589181image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile4
Q126
median54
Q392
95-th percentile213.6
Maximum536
Range536
Interquartile range (IQR)66

Descriptive statistics

Standard deviation67.649033
Coefficient of variation (CV)0.94233985
Kurtosis4.7548469
Mean71.78836
Median Absolute Deviation (MAD)31
Skewness1.8673626
Sum67840
Variance4576.3916
MonotonicityNot monotonic
2023-12-12T13:05:16.773740image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
55 17
 
1.8%
23 17
 
1.8%
13 17
 
1.8%
42 16
 
1.7%
1 16
 
1.7%
63 15
 
1.6%
56 15
 
1.6%
2 15
 
1.6%
67 14
 
1.5%
22 14
 
1.5%
Other values (149) 789
83.5%
ValueCountFrequency (%)
0 4
 
0.4%
1 16
1.7%
2 15
1.6%
3 8
0.8%
4 12
1.3%
5 14
1.5%
6 10
1.1%
7 7
0.7%
8 12
1.3%
9 5
 
0.5%
ValueCountFrequency (%)
536 1
 
0.1%
408 1
 
0.1%
332 3
0.3%
327 3
0.3%
321 1
 
0.1%
319 3
0.3%
317 1
 
0.1%
286 1
 
0.1%
276 3
0.3%
273 3
0.3%

기준일자
Date

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size7.5 KiB
Minimum2022-05-26 00:00:00
Maximum2022-05-26 00:00:00
2023-12-12T13:05:17.211269image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:05:17.320583image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Interactions

2023-12-12T13:05:13.863121image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:05:12.879792image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:05:13.307071image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:05:13.997754image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:05:12.978118image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:05:13.577472image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:05:14.114722image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:05:13.099226image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:05:13.746627image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T13:05:17.402126image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연도읍면동연령별(세)1인가구남여
연도1.0000.0000.0000.0000.0000.000
읍면동0.0001.0000.0000.5980.5960.664
연령별(세)0.0000.0001.0000.3240.4180.328
1인가구0.0000.5980.3241.0000.9100.961
남0.0000.5960.4180.9101.0000.757
여0.0000.6640.3280.9610.7571.000
2023-12-12T13:05:17.518617image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
읍면동연령별(세)연도
읍면동1.0000.0000.000
연령별(세)0.0001.0000.000
연도0.0000.0001.000
2023-12-12T13:05:17.643157image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
1인가구남여연도읍면동연령별(세)
1인가구1.0000.9050.9240.0000.2770.137
남0.9051.0000.6900.0000.2930.193
여0.9240.6901.0000.0000.3260.139
연도0.0000.0000.0001.0000.0000.000
읍면동0.2770.2930.3260.0001.0000.000
연령별(세)0.1370.1930.1390.0000.0001.000

Missing values

2023-12-12T13:05:14.265008image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T13:05:14.428899image/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

연도시도시군구읍면동연령별(세)1인가구남여기준일자
02010강원도강릉시주문진읍20세 미만2781701082022-05-26
12010강원도강릉시주문진읍20~2413585502022-05-26
22010강원도강릉시주문진읍25~2915184672022-05-26
32010강원도강릉시주문진읍30~34214140742022-05-26
42010강원도강릉시주문진읍35~393081831252022-05-26
52010강원도강릉시주문진읍40~444512641872022-05-26
62010강원도강릉시주문진읍45~495253002252022-05-26
72010강원도강릉시주문진읍50~546373053322022-05-26
82010강원도강릉시주문진읍55~595502233272022-05-26
92010강원도강릉시주문진읍60~644121362762022-05-26
연도시도시군구읍면동연령별(세)1인가구남여기준일자
9352020강원도강릉시경포동40~4413998412022-05-26
9362020강원도강릉시경포동45~4913675612022-05-26
9372020강원도강릉시경포동50~5415086642022-05-26
9382020강원도강릉시경포동55~5917696802022-05-26
9392020강원도강릉시경포동60~6415076742022-05-26
9402020강원도강릉시경포동65~6910852562022-05-26
9412020강원도강릉시경포동70~746427372022-05-26
9422020강원도강릉시경포동75~796624422022-05-26
9432020강원도강릉시경포동80~845512432022-05-26
9442020강원도강릉시경포동85세 이상376312022-05-26