Overview

Dataset statistics

Number of variables11
Number of observations161
Missing cells141
Missing cells (%)8.0%
Duplicate rows15
Duplicate rows (%)9.3%
Total size in memory14.0 KiB
Average record size in memory88.8 B

Variable types

Text1
Categorical1
Unsupported9

Dataset

Description2010년, 2015년, 2020년 각 년도에 해당하는 강원도 동해시의 성별, 연령대별 1인가구 수를 안내하여 드립니다.
Author강원도 동해시
URLhttps://www.data.go.kr/data/15100389/fileData.do

Alerts

Dataset has 15 (9.3%) duplicate rowsDuplicates
행정구역별(읍면동) has 141 (87.6%) missing valuesMissing
2010년 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 3 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 4 is an unsupported type, check if it needs cleaning or further analysisUnsupported
2015년 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 6 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 7 is an unsupported type, check if it needs cleaning or further analysisUnsupported
2020년 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 9 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 10 is an unsupported type, check if it needs cleaning or further analysisUnsupported

Reproduction

Analysis started2023-12-12 14:11:54.357697
Analysis finished2023-12-12 14:11:54.791336
Duration0.43 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

행정구역별(읍면동)
Text

MISSING 

Distinct11
Distinct (%)55.0%
Missing141
Missing (%)87.6%
Memory size1.4 KiB
2023-12-12T23:11:54.925846image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length5
Mean length5
Min length3

Characters and Unicode

Total characters100
Distinct characters22
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique10 ?
Unique (%)50.0%

Sample

1st row강원도 동해시
2nd row천곡동
3rd row강원도 동해시
4th row송정동
5th row강원도 동해시
ValueCountFrequency (%)
강원도 10
33.3%
동해시 10
33.3%
천곡동 1
 
3.3%
송정동 1
 
3.3%
북삼동 1
 
3.3%
부곡동 1
 
3.3%
동호동 1
 
3.3%
발한동 1
 
3.3%
묵호동 1
 
3.3%
북평동 1
 
3.3%
Other values (2) 2
 
6.7%
2023-12-12T23:11:55.278607image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
동 21
21.0%
강 10
10.0%
원 10
10.0%
도 10
10.0%
10
10.0%
해 10
10.0%
시 10
10.0%
호 2
 
2.0%
삼 2
 
2.0%
북 2
 
2.0%
Other values (12) 13
13.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 90
90.0%
Space Separator 10
 
10.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 21
23.3%
강 10
11.1%
원 10
11.1%
도 10
11.1%
해 10
11.1%
시 10
11.1%
호 2
 
2.2%
삼 2
 
2.2%
북 2
 
2.2%
곡 2
 
2.2%
Other values (11) 11
12.2%
Space Separator
ValueCountFrequency (%)
10
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 90
90.0%
Common 10
 
10.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 21
23.3%
강 10
11.1%
원 10
11.1%
도 10
11.1%
해 10
11.1%
시 10
11.1%
호 2
 
2.2%
삼 2
 
2.2%
북 2
 
2.2%
곡 2
 
2.2%
Other values (11) 11
12.2%
Common
ValueCountFrequency (%)
10
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 90
90.0%
ASCII 10
 
10.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
동 21
23.3%
강 10
11.1%
원 10
11.1%
도 10
11.1%
해 10
11.1%
시 10
11.1%
호 2
 
2.2%
삼 2
 
2.2%
북 2
 
2.2%
곡 2
 
2.2%
Other values (11) 11
12.2%
ASCII
ValueCountFrequency (%)
10
100.0%

연령별(세)
Categorical

Distinct17
Distinct (%)10.6%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
45~49
 
10
합계
 
10
20세 미만
 
10
20~24
 
10
25~29
 
10
Other values (12)
111 

Length

Max length6
Median length5
Mean length4.931677
Min length2

Unique

Unique1 ?
Unique (%)0.6%

Sample

1st row<NA>
2nd row합계
3rd row20세 미만
4th row20~24
5th row25~29

Common Values

ValueCountFrequency (%)
45~49 10
 
6.2%
합계 10
 
6.2%
20세 미만 10
 
6.2%
20~24 10
 
6.2%
25~29 10
 
6.2%
30~34 10
 
6.2%
35~39 10
 
6.2%
40~44 10
 
6.2%
85세 이상 10
 
6.2%
50~54 10
 
6.2%
Other values (7) 61
37.9%

Length

2023-12-12T23:11:55.449362image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
45~49 10
 
5.5%
이상 10
 
5.5%
80~84 10
 
5.5%
75~79 10
 
5.5%
70~74 10
 
5.5%
65~69 10
 
5.5%
60~64 10
 
5.5%
55~59 10
 
5.5%
50~54 10
 
5.5%
85세 10
 
5.5%
Other values (9) 81
44.8%

2010년
Unsupported

REJECTED  UNSUPPORTED 

Missing0
Missing (%)0.0%
Memory size1.4 KiB

Unnamed: 3
Unsupported

REJECTED  UNSUPPORTED 

Missing0
Missing (%)0.0%
Memory size1.4 KiB

Unnamed: 4
Unsupported

REJECTED  UNSUPPORTED 

Missing0
Missing (%)0.0%
Memory size1.4 KiB

2015년
Unsupported

REJECTED  UNSUPPORTED 

Missing0
Missing (%)0.0%
Memory size1.4 KiB

Unnamed: 6
Unsupported

REJECTED  UNSUPPORTED 

Missing0
Missing (%)0.0%
Memory size1.4 KiB

Unnamed: 7
Unsupported

REJECTED  UNSUPPORTED 

Missing0
Missing (%)0.0%
Memory size1.4 KiB

2020년
Unsupported

REJECTED  UNSUPPORTED 

Missing0
Missing (%)0.0%
Memory size1.4 KiB

Unnamed: 9
Unsupported

REJECTED  UNSUPPORTED 

Missing0
Missing (%)0.0%
Memory size1.4 KiB

Unnamed: 10
Unsupported

REJECTED  UNSUPPORTED 

Missing0
Missing (%)0.0%
Memory size1.4 KiB

Correlations

2023-12-12T23:11:55.545391image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
행정구역별(읍면동)연령별(세)
행정구역별(읍면동)1.0001.000
연령별(세)1.0001.000

Missing values

2023-12-12T23:11:54.512074image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T23:11:54.723560image/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

행정구역별(읍면동)연령별(세)2010년Unnamed: 3Unnamed: 42015년Unnamed: 6Unnamed: 72020년Unnamed: 9Unnamed: 10
0<NA><NA>1인가구남자여자1인가구남자여자1인가구남자여자
1강원도 동해시합계515825382620515825382620516325412622
2천곡동20세 미만813503310310165145381820
3<NA>20~24359250109503338165275148127
4<NA>25~29319213106359250109505340165
5<NA>30~34352209143319213106359250109
6<NA>35~39428261167352209143319213106
7<NA>40~44510262248428261167352209143
8<NA>45~49530224306510262248428261167
9<NA>50~54573246327530224306510262248
행정구역별(읍면동)연령별(세)2010년Unnamed: 3Unnamed: 42015년Unnamed: 6Unnamed: 72020년Unnamed: 9Unnamed: 10
151<NA>40~4482562654411334295
152<NA>45~491027131825626544113
153<NA>50~5410566391027131825626
154<NA>55~5975354010566391027131
155<NA>60~646521447535401056639
156<NA>65~69811665652144753540
157<NA>70~7451546811665652144
158<NA>75~792231951546811665
159<NA>80~848082231951546
160<NA>85세 이상4041201234331

Duplicate rows

Most frequently occurring

행정구역별(읍면동)연령별(세)# duplicates
0강원도 동해시합계10
1<NA>20~2410
2<NA>25~2910
3<NA>30~3410
4<NA>35~3910
5<NA>40~4410
6<NA>45~4910
7<NA>50~5410
8<NA>55~5910
9<NA>60~6410