Overview

Dataset statistics

Number of variables4
Number of observations207
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory6.6 KiB
Average record size in memory32.6 B

Variable types

Text2
Categorical2

Dataset

Description충청남도 청양군 야외(실외)운동기구 현황으로 설치주소, 설치기구종류, 담당부서, 설치년도에 대한 정보를 제공하고 있습니다.
Author충청남도
URLhttps://alldam.chungnam.go.kr/index.chungnam?menuCd=DOM_000000201001001001&st=&cds=&orgCd=&apiType=&isOpen=Y&pageIndex=409&beforeMenuCd=DOM_000000201001001000&publicdatapk=15037863

Alerts

담당부서 has constant value ""Constant

Reproduction

Analysis started2024-01-09 23:18:58.727206
Analysis finished2024-01-09 23:18:59.032262
Duration0.31 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

설치주소
Text

Distinct200
Distinct (%)96.6%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
2024-01-10T08:18:59.208731image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length34
Median length32
Mean length21.68599
Min length12

Characters and Unicode

Total characters4489
Distinct characters181
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique193 ?
Unique (%)93.2%

Sample

1st row충청남도 청양읍 정좌리 110-1
2nd row충청남도 청양읍 송방리 47
3rd row충청남도 청양읍 군량리 125-8
4th row충청남도 청양읍 송방리 317-1
5th row충청남도 청양읍 정좌리 275
ValueCountFrequency (%)
충청남도 204
19.9%
청양군 184
 
17.9%
정산면 26
 
2.5%
화성면 26
 
2.5%
남양면 24
 
2.3%
청남면 23
 
2.2%
장평면 19
 
1.9%
청양읍 19
 
1.9%
비봉면 18
 
1.8%
대치면 17
 
1.7%
Other values (357) 467
45.5%
2024-01-10T08:18:59.552357image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
837
18.6%
청 439
 
9.8%
남 252
 
5.6%
양 230
 
5.1%
충 210
 
4.7%
도 208
 
4.6%
면 188
 
4.2%
군 185
 
4.1%
1 145
 
3.2%
2 128
 
2.9%
Other values (171) 1667
37.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2728
60.8%
Space Separator 837
 
18.6%
Decimal Number 759
 
16.9%
Dash Punctuation 122
 
2.7%
Close Punctuation 21
 
0.5%
Open Punctuation 21
 
0.5%
Other Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
청 439
16.1%
남 252
 
9.2%
양 230
 
8.4%
충 210
 
7.7%
도 208
 
7.6%
면 188
 
6.9%
군 185
 
6.8%
길 105
 
3.8%
리 96
 
3.5%
산 48
 
1.8%
Other values (156) 767
28.1%
Decimal Number
ValueCountFrequency (%)
1 145
19.1%
2 128
16.9%
3 97
12.8%
5 71
9.4%
4 65
8.6%
7 61
8.0%
6 56
 
7.4%
9 53
 
7.0%
8 48
 
6.3%
0 35
 
4.6%
Space Separator
ValueCountFrequency (%)
837
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 122
100.0%
Close Punctuation
ValueCountFrequency (%)
) 21
100.0%
Open Punctuation
ValueCountFrequency (%)
( 21
100.0%
Other Punctuation
ValueCountFrequency (%)
, 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2728
60.8%
Common 1761
39.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
청 439
16.1%
남 252
 
9.2%
양 230
 
8.4%
충 210
 
7.7%
도 208
 
7.6%
면 188
 
6.9%
군 185
 
6.8%
길 105
 
3.8%
리 96
 
3.5%
산 48
 
1.8%
Other values (156) 767
28.1%
Common
ValueCountFrequency (%)
837
47.5%
1 145
 
8.2%
2 128
 
7.3%
- 122
 
6.9%
3 97
 
5.5%
5 71
 
4.0%
4 65
 
3.7%
7 61
 
3.5%
6 56
 
3.2%
9 53
 
3.0%
Other values (5) 126
 
7.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2728
60.8%
ASCII 1761
39.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
837
47.5%
1 145
 
8.2%
2 128
 
7.3%
- 122
 
6.9%
3 97
 
5.5%
5 71
 
4.0%
4 65
 
3.7%
7 61
 
3.5%
6 56
 
3.2%
9 53
 
3.0%
Other values (5) 126
 
7.2%
Hangul
ValueCountFrequency (%)
청 439
16.1%
남 252
 
9.2%
양 230
 
8.4%
충 210
 
7.7%
도 208
 
7.6%
면 188
 
6.9%
군 185
 
6.8%
길 105
 
3.8%
리 96
 
3.5%
산 48
 
1.8%
Other values (156) 767
28.1%

설치기구 종류
Text

Distinct61
Distinct (%)29.5%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
2024-01-10T08:18:59.741725image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length70
Median length59
Mean length21.135266
Min length7

Characters and Unicode

Total characters4375
Distinct characters79
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique47 ?
Unique (%)22.7%

Sample

1st row허리돌리기1개, 상체근육풀기1개,
2nd row허리돌리기1개, 상체근육풀기1개,
3rd row허리돌리기1개, 상체근육풀기1개,레그프레스1개
4th row허리돌리기1개
5th row허리돌리기1개, 상체근육풀기1개,
ValueCountFrequency (%)
허리돌리기1개 185
36.9%
상체근육풀기1개 159
31.7%
공중걷기1개 44
 
8.8%
달리기유형1개 18
 
3.6%
1개 17
 
3.4%
파도타기1개 14
 
2.8%
역기올리기1개 11
 
2.2%
레그프레스1개 5
 
1.0%
활차머신1개 4
 
0.8%
자전거타기1개 3
 
0.6%
Other values (34) 41
 
8.2%
2024-01-10T08:19:00.039784image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
기 484
11.1%
개 484
11.1%
1 482
11.0%
, 441
10.1%
431
9.9%
리 415
9.5%
허 191
 
4.4%
돌 187
 
4.3%
풀 167
 
3.8%
육 166
 
3.8%
Other values (69) 927
21.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3017
69.0%
Decimal Number 484
 
11.1%
Other Punctuation 443
 
10.1%
Space Separator 431
 
9.9%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
기 484
16.0%
개 484
16.0%
리 415
13.8%
허 191
 
6.3%
돌 187
 
6.2%
풀 167
 
5.5%
육 166
 
5.5%
근 166
 
5.5%
체 164
 
5.4%
상 163
 
5.4%
Other values (64) 430
14.3%
Decimal Number
ValueCountFrequency (%)
1 482
99.6%
2 2
 
0.4%
Other Punctuation
ValueCountFrequency (%)
, 441
99.5%
. 2
 
0.5%
Space Separator
ValueCountFrequency (%)
431
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3017
69.0%
Common 1358
31.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
기 484
16.0%
개 484
16.0%
리 415
13.8%
허 191
 
6.3%
돌 187
 
6.2%
풀 167
 
5.5%
육 166
 
5.5%
근 166
 
5.5%
체 164
 
5.4%
상 163
 
5.4%
Other values (64) 430
14.3%
Common
ValueCountFrequency (%)
1 482
35.5%
, 441
32.5%
431
31.7%
2 2
 
0.1%
. 2
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3017
69.0%
ASCII 1358
31.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
기 484
16.0%
개 484
16.0%
리 415
13.8%
허 191
 
6.3%
돌 187
 
6.2%
풀 167
 
5.5%
육 166
 
5.5%
근 166
 
5.5%
체 164
 
5.4%
상 163
 
5.4%
Other values (64) 430
14.3%
ASCII
ValueCountFrequency (%)
1 482
35.5%
, 441
32.5%
431
31.7%
2 2
 
0.1%
. 2
 
0.1%

담당부서
Categorical

CONSTANT 

Distinct1
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
문화체육관광과
207 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
문화체육관광과 207
100.0%

Length

2024-01-10T08:19:00.153600image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-10T08:19:00.233743image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
문화체육관광과 207
100.0%

설치년도
Categorical

Distinct9
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
2016
32 
2017
32 
-
26 
2015
25 
2018
25 
Other values (4)
67 

Length

Max length4
Median length4
Mean length3.6231884
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2014
2nd row2015
3rd row2016
4th row2016
5th row2016

Common Values

ValueCountFrequency (%)
2016 32
15.5%
2017 32
15.5%
- 26
12.6%
2015 25
12.1%
2018 25
12.1%
2013 25
12.1%
2014 17
8.2%
2019 17
8.2%
2012 8
 
3.9%

Length

2024-01-10T08:19:00.322684image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-10T08:19:00.436109image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2016 32
15.5%
2017 32
15.5%
26
12.6%
2015 25
12.1%
2018 25
12.1%
2013 25
12.1%
2014 17
8.2%
2019 17
8.2%
2012 8
 
3.9%

Correlations

2024-01-10T08:19:00.515904image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
설치기구 종류설치년도
설치기구 종류1.0000.528
설치년도0.5281.000

Missing values

2024-01-10T08:18:58.932827image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-01-10T08:18:59.004034image/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

설치주소설치기구 종류담당부서설치년도
0충청남도 청양읍 정좌리 110-1허리돌리기1개, 상체근육풀기1개,문화체육관광과2014
1충청남도 청양읍 송방리 47허리돌리기1개, 상체근육풀기1개,문화체육관광과2015
2충청남도 청양읍 군량리 125-8허리돌리기1개, 상체근육풀기1개,레그프레스1개문화체육관광과2016
3충청남도 청양읍 송방리 317-1허리돌리기1개문화체육관광과2016
4충청남도 청양읍 정좌리 275허리돌리기1개, 상체근육풀기1개,문화체육관광과2016
5충청남도 청양읍 여의실길 15허리돌리기1개, 상체근육풀기1개,문화체육관광과2016
6충청남도 청양읍 중앙로 7길 36공중걷기1개, 허리돌리기1개, 상체근육풀기1개문화체육관광과2017
7충청남도 청양읍 신대동길 32파도타기1개, 상체근육풀기1개문화체육관광과2017
8충청남도 청양읍 고리섬들길 68-10공중걷기1개, 역기올리기1개, 레그프레스1개문화체육관광과2018
9충청남도 청양읍 학당리허리돌리기1개, 상체근육풀기1개,문화체육관광과2018
설치주소설치기구 종류담당부서설치년도
197충청남도 청양군 비봉면 느랭이길 6-2허리돌리기1개, 상체근육풀기1개,문화체육관광과2015
198충청남도 청양군 비봉면중묵운곡로 212-5허리돌리기1개, 상체근육풀기1개,문화체육관광과2015
199충청남도 청양군 비봉면 원동길 56허리돌리기1개, 상체근육풀기1개,문화체육관광과2016
200충청남도 청양군 비봉면 중묵리 247-23허리돌리기1개, 상체근육풀기1개,문화체육관광과2016
201충청남도 청양군 비봉면 마리골길 44허리돌리기1개, 상체근육풀기1개,문화체육관광과2016
202충청남도 청양군 비봉면 용천신원로 293허리돌리기1개, 상체근육풀기1개,문화체육관광과2017
203충청남도 청양군 비봉면 록평리 128허리돌리기1개, 상체근육풀기1개, 달리기유형1개, 윗몸일으키기1개,문화체육관광과2017
204충청남도 청양군 비봉면 록평리 102-11허리돌리기1개, 달리기유형1개, 역이올리기1개, 하체근육풀기1개,문화체육관광과2018
205충청남도 청양군 비봉면 용화길 138허리돌리기1개, 상체근육풀기1개,문화체육관광과-
206충청남도 청양군 비봉면 큰한술길 55-52공중걷기1개, 달리기유형1개,문화체육관광과-