Overview

Dataset statistics

Number of variables7
Number of observations269
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory14.8 KiB
Average record size in memory56.5 B

Variable types

Categorical5
Text2

Dataset

Description충청남도 홍성군 야외(실외)운동기구현황으로 읍면, 설치위치, 설치기구, 설치년도, 고장현황, 담당부서, 데이터 기준일자 등을 제공합니다.
Author충청남도
URLhttps://alldam.chungnam.go.kr/index.chungnam?menuCd=DOM_000000201001001001&st=&cds=&orgCd=&apiType=&isOpen=Y&pageIndex=422&beforeMenuCd=DOM_000000201001001000&publicdatapk=15037986

Alerts

고장현황 has constant value ""Constant
담당부서 has constant value ""Constant
데이터기준일자 has constant value ""Constant

Reproduction

Analysis started2024-01-09 20:31:04.479964
Analysis finished2024-01-09 20:31:04.882884
Duration0.4 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

읍면
Categorical

Distinct11
Distinct (%)4.1%
Missing0
Missing (%)0.0%
Memory size2.2 KiB
홍성읍
46 
홍동면
35 
광천읍
33 
갈산면
27 
장곡면
25 
Other values (6)
103 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
홍성읍 46
17.1%
홍동면 35
13.0%
광천읍 33
12.3%
갈산면 27
10.0%
장곡면 25
9.3%
결성면 25
9.3%
홍북읍 17
 
6.3%
은하면 17
 
6.3%
서부면 15
 
5.6%
구항면 15
 
5.6%

Length

2024-01-10T05:31:04.938079image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
홍성읍 46
17.1%
홍동면 35
13.0%
광천읍 33
12.3%
갈산면 27
10.0%
장곡면 25
9.3%
결성면 25
9.3%
홍북읍 17
 
6.3%
은하면 17
 
6.3%
서부면 15
 
5.6%
구항면 15
 
5.6%

설치위치
Text

Distinct258
Distinct (%)95.9%
Missing0
Missing (%)0.0%
Memory size2.2 KiB
2024-01-10T05:31:05.147524image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length40
Median length28
Mean length23.133829
Min length18

Characters and Unicode

Total characters6223
Distinct characters135
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique247 ?
Unique (%)91.8%

Sample

1st row충청남도 홍성군 홍성읍 조양로103번길 27-6
2nd row충청남도 홍성군 홍성읍 조양로 143번길 35-12
3rd row충청남도 홍성군 홍성읍 조양로 33번길 20-18
4th row충청남도 홍성군 홍성읍 조양로75번길 26-3
5th row충청남도 홍성군 홍성읍 홍장북로475번길 25-18
ValueCountFrequency (%)
충청남도 269
19.8%
홍성군 269
19.8%
홍성읍 46
 
3.4%
홍동면 35
 
2.6%
광천읍 33
 
2.4%
갈산면 27
 
2.0%
장곡면 25
 
1.8%
결성면 25
 
1.8%
은하면 17
 
1.3%
홍북읍 17
 
1.3%
Other values (445) 595
43.8%
2024-01-10T05:31:05.505948image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1090
17.5%
홍 411
 
6.6%
성 353
 
5.7%
남 322
 
5.2%
충 289
 
4.6%
청 271
 
4.4%
도 270
 
4.3%
군 269
 
4.3%
1 255
 
4.1%
길 179
 
2.9%
Other values (125) 2514
40.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3847
61.8%
Decimal Number 1174
 
18.9%
Space Separator 1090
 
17.5%
Dash Punctuation 111
 
1.8%
Other Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
홍 411
 
10.7%
성 353
 
9.2%
남 322
 
8.4%
충 289
 
7.5%
청 271
 
7.0%
도 270
 
7.0%
군 269
 
7.0%
길 179
 
4.7%
면 173
 
4.5%
로 129
 
3.4%
Other values (112) 1181
30.7%
Decimal Number
ValueCountFrequency (%)
1 255
21.7%
2 132
11.2%
3 122
10.4%
4 115
9.8%
5 106
9.0%
7 103
8.8%
6 96
 
8.2%
8 85
 
7.2%
9 85
 
7.2%
0 75
 
6.4%
Space Separator
ValueCountFrequency (%)
1090
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 111
100.0%
Other Punctuation
ValueCountFrequency (%)
/ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3847
61.8%
Common 2376
38.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
홍 411
 
10.7%
성 353
 
9.2%
남 322
 
8.4%
충 289
 
7.5%
청 271
 
7.0%
도 270
 
7.0%
군 269
 
7.0%
길 179
 
4.7%
면 173
 
4.5%
로 129
 
3.4%
Other values (112) 1181
30.7%
Common
ValueCountFrequency (%)
1090
45.9%
1 255
 
10.7%
2 132
 
5.6%
3 122
 
5.1%
4 115
 
4.8%
- 111
 
4.7%
5 106
 
4.5%
7 103
 
4.3%
6 96
 
4.0%
8 85
 
3.6%
Other values (3) 161
 
6.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3847
61.8%
ASCII 2376
38.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1090
45.9%
1 255
 
10.7%
2 132
 
5.6%
3 122
 
5.1%
4 115
 
4.8%
- 111
 
4.7%
5 106
 
4.5%
7 103
 
4.3%
6 96
 
4.0%
8 85
 
3.6%
Other values (3) 161
 
6.8%
Hangul
ValueCountFrequency (%)
홍 411
 
10.7%
성 353
 
9.2%
남 322
 
8.4%
충 289
 
7.5%
청 271
 
7.0%
도 270
 
7.0%
군 269
 
7.0%
길 179
 
4.7%
면 173
 
4.5%
로 129
 
3.4%
Other values (112) 1181
30.7%

설치기구종류
Text

Distinct227
Distinct (%)84.4%
Missing0
Missing (%)0.0%
Memory size2.2 KiB
2024-01-10T05:31:05.713946image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length139
Median length54
Mean length36.795539
Min length4

Characters and Unicode

Total characters9898
Distinct characters145
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique207 ?
Unique (%)77.0%

Sample

1st row큰활차머신, 자유철봉
2nd row양팔줄당기기+양팔줄당기기, 허리돌리기+싸이클
3rd row역기올리기+큰활차머신, 허리돌리기+옆파도타기, 양팔줄당기기+하늘걷기
4th row다리뻗치기+옆파도타기, 허리돌리기+큰활차머신, 달리기+하늘걷기
5th row등허리지압기+하늘걷기, 작은활차머신+노젓기, 윗몸일으키기+허리돌리기, 옆파도타기+옆파도타기
ValueCountFrequency (%)
허리돌리기 77
 
7.5%
상체근육풀기 40
 
3.9%
공중걷기 34
 
3.3%
파도타기 34
 
3.3%
하늘걷기 29
 
2.8%
역기내리기+오금펴기 20
 
2.0%
오금펴기 19
 
1.9%
달리기 19
 
1.9%
물결타기 18
 
1.8%
옆파도타기+옆파도타기 18
 
1.8%
Other values (336) 716
69.9%
2024-01-10T05:31:06.070889image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
기 1530
 
15.5%
리 856
 
8.6%
757
 
7.6%
, 752
 
7.6%
+ 610
 
6.2%
허 306
 
3.1%
돌 279
 
2.8%
걷 212
 
2.1%
타 195
 
2.0%
하 173
 
1.7%
Other values (135) 4228
42.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 7777
78.6%
Space Separator 757
 
7.6%
Other Punctuation 752
 
7.6%
Math Symbol 610
 
6.2%
Decimal Number 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
기 1530
19.7%
리 856
 
11.0%
허 306
 
3.9%
돌 279
 
3.6%
걷 212
 
2.7%
타 195
 
2.5%
하 173
 
2.2%
늘 171
 
2.2%
파 153
 
2.0%
도 152
 
2.0%
Other values (131) 3750
48.2%
Space Separator
ValueCountFrequency (%)
757
100.0%
Other Punctuation
ValueCountFrequency (%)
, 752
100.0%
Math Symbol
ValueCountFrequency (%)
+ 610
100.0%
Decimal Number
ValueCountFrequency (%)
2 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 7777
78.6%
Common 2121
 
21.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
기 1530
19.7%
리 856
 
11.0%
허 306
 
3.9%
돌 279
 
3.6%
걷 212
 
2.7%
타 195
 
2.5%
하 173
 
2.2%
늘 171
 
2.2%
파 153
 
2.0%
도 152
 
2.0%
Other values (131) 3750
48.2%
Common
ValueCountFrequency (%)
757
35.7%
, 752
35.5%
+ 610
28.8%
2 2
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 7777
78.6%
ASCII 2121
 
21.4%

Most frequent character per block

Hangul
ValueCountFrequency (%)
기 1530
19.7%
리 856
 
11.0%
허 306
 
3.9%
돌 279
 
3.6%
걷 212
 
2.7%
타 195
 
2.5%
하 173
 
2.2%
늘 171
 
2.2%
파 153
 
2.0%
도 152
 
2.0%
Other values (131) 3750
48.2%
ASCII
ValueCountFrequency (%)
757
35.7%
, 752
35.5%
+ 610
28.8%
2 2
 
0.1%

설치년도
Categorical

Distinct12
Distinct (%)4.5%
Missing0
Missing (%)0.0%
Memory size2.2 KiB
2017
80 
2016
74 
2018
44 
2015
21 
<NA>
20 
Other values (7)
30 

Length

Max length10
Median length4
Mean length4.0223048
Min length4

Unique

Unique3 ?
Unique (%)1.1%

Sample

1st row2016
2nd row2016
3rd row2015
4th row<NA>
5th row2016

Common Values

ValueCountFrequency (%)
2017 80
29.7%
2016 74
27.5%
2018 44
16.4%
2015 21
 
7.8%
<NA> 20
 
7.4%
2019 17
 
6.3%
2014 5
 
1.9%
2012 3
 
1.1%
2023 2
 
0.7%
2016, 2017 1
 
0.4%
Other values (2) 2
 
0.7%

Length

2024-01-10T05:31:06.195268image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
2017 81
30.0%
2016 75
27.8%
2018 44
16.3%
2015 21
 
7.8%
na 20
 
7.4%
2019 17
 
6.3%
2014 5
 
1.9%
2012 3
 
1.1%
2023 2
 
0.7%
2008 1
 
0.4%

고장현황
Categorical

CONSTANT 

Distinct1
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size2.2 KiB
양호
269 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
양호 269
100.0%

Length

2024-01-10T05:31:06.299766image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-10T05:31:06.378672image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
양호 269
100.0%

담당부서
Categorical

CONSTANT 

Distinct1
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size2.2 KiB
교육체육과
269 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
교육체육과 269
100.0%

Length

2024-01-10T05:31:06.459236image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-10T05:31:06.537708image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
교육체육과 269
100.0%

데이터기준일자
Categorical

CONSTANT 

Distinct1
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size2.2 KiB
2023-09-27
269 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2023-09-27
2nd row2023-09-27
3rd row2023-09-27
4th row2023-09-27
5th row2023-09-27

Common Values

ValueCountFrequency (%)
2023-09-27 269
100.0%

Length

2024-01-10T05:31:06.621073image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-10T05:31:06.696226image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2023-09-27 269
100.0%

Correlations

2024-01-10T05:31:06.745245image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
읍면설치년도
읍면1.0000.265
설치년도0.2651.000
2024-01-10T05:31:06.848989image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
읍면설치년도
읍면1.0000.080
설치년도0.0801.000
2024-01-10T05:31:06.941083image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
읍면설치년도
읍면1.0000.080
설치년도0.0801.000

Missing values

2024-01-10T05:31:04.756677image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-01-10T05:31:04.845115image/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

읍면설치위치설치기구종류설치년도고장현황담당부서데이터기준일자
0홍성읍충청남도 홍성군 홍성읍 조양로103번길 27-6큰활차머신, 자유철봉2016양호교육체육과2023-09-27
1홍성읍충청남도 홍성군 홍성읍 조양로 143번길 35-12양팔줄당기기+양팔줄당기기, 허리돌리기+싸이클2016양호교육체육과2023-09-27
2홍성읍충청남도 홍성군 홍성읍 조양로 33번길 20-18역기올리기+큰활차머신, 허리돌리기+옆파도타기, 양팔줄당기기+하늘걷기2015양호교육체육과2023-09-27
3홍성읍충청남도 홍성군 홍성읍 조양로75번길 26-3다리뻗치기+옆파도타기, 허리돌리기+큰활차머신, 달리기+하늘걷기<NA>양호교육체육과2023-09-27
4홍성읍충청남도 홍성군 홍성읍 홍장북로475번길 25-18등허리지압기+하늘걷기, 작은활차머신+노젓기, 윗몸일으키기+허리돌리기, 옆파도타기+옆파도타기2016양호교육체육과2023-09-27
5홍성읍충청남도 홍성군 홍성읍 충절로1032번길 34-5양팔작은활차+달리기, 싸이클+달리기, 다리뻗치기+역기내리기2016양호교육체육과2023-09-27
6홍성읍충청남도 홍성군 홍성읍 홍성천길 하천변 우체국앞허리돌리기+허리돌리기, 옆파도타기+옆파도타기, 하늘걷기+하늘걷기, 큰활차머신+큰활차머신<NA>양호교육체육과2023-09-27
7홍성읍충청남도 홍성군 홍성읍 하천변 권용타운 앞양팔줄당기기+허리돌리기, 옆파도타기+하늘걷기, 자유철봉+윗몸일으키기, 등허리지압기+큰활차머신2017양호교육체육과2023-09-27
8홍성읍충청남도 홍성군 홍성읍 월계천길 41-11등허리지압기+하늘걷기, 작은활차머신+노젓기, 윗몸일으키기+허리돌리기, 옆파도타기+옆파도타기<NA>양호교육체육과2023-09-27
9홍성읍충청남도 홍성군 홍성읍 월계천길 41-11두팔노젓기+두팔노젓기, 달리기+달리기, 하늘걷기+하늘걷기, 등허리지압기+등허리지압기, 옆파도타기+옆파도타기, 윗몸일으키기+윗몸일으키기2016양호교육체육과2023-09-27
읍면설치위치설치기구종류설치년도고장현황담당부서데이터기준일자
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264구항면충청남도 홍성군 구항면 장양리 604-4하늘걷기, 물결타기, 허리돌리기2017양호교육체육과2023-09-27
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