Overview

Dataset statistics

Number of variables4
Number of observations108
Missing cells4
Missing cells (%)0.9%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory3.5 KiB
Average record size in memory33.2 B

Variable types

Text4

Dataset

Description경기도 의정부시 공원 내 실외 간이체육시설 현황을 제공하며 공원명, 관리번호, 지번주소, 시설물 상세내역 등의 데이터를 제공합니다.
Author경기도 의정부시
URLhttps://www.data.go.kr/data/15027201/fileData.do

Alerts

관리번호 has 4 (3.7%) missing valuesMissing
공원명 has unique valuesUnique
지번주소 has unique valuesUnique

Reproduction

Analysis started2023-12-12 22:41:41.198136
Analysis finished2023-12-12 22:41:41.517334
Duration0.32 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

공원명
Text

UNIQUE 

Distinct108
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size996.0 B
2023-12-13T07:41:41.675641image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length16
Mean length8.2037037
Min length5

Characters and Unicode

Total characters886
Distinct characters181
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

Unique108 ?
Unique (%)100.0%

Sample

1st row달님문화공원
2nd row중보뜰어린이공원
3rd row평화어린이공원
4th row색동어린이공원
5th row민락교통어린이공원
ValueCountFrequency (%)
광역행정타운 2
 
1.7%
소공원1 2
 
1.7%
안말 2
 
1.7%
수변공원 2
 
1.7%
달님문화공원 1
 
0.9%
문화어린이공원 1
 
0.9%
해오름근린공원 1
 
0.9%
추동근린공원(용현사뒤 1
 
0.9%
하금오어린이공원 1
 
0.9%
오동어린이공원 1
 
0.9%
Other values (103) 103
88.0%
2023-12-13T07:41:42.042871image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
112
 
12.6%
111
 
12.5%
80
 
9.0%
49
 
5.5%
48
 
5.4%
32
 
3.6%
24
 
2.7%
23
 
2.6%
20
 
2.3%
) 15
 
1.7%
Other values (171) 372
42.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 842
95.0%
Close Punctuation 15
 
1.7%
Open Punctuation 15
 
1.7%
Space Separator 9
 
1.0%
Decimal Number 5
 
0.6%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
112
 
13.3%
111
 
13.2%
80
 
9.5%
49
 
5.8%
48
 
5.7%
32
 
3.8%
24
 
2.9%
23
 
2.7%
20
 
2.4%
10
 
1.2%
Other values (166) 333
39.5%
Decimal Number
ValueCountFrequency (%)
1 3
60.0%
2 2
40.0%
Close Punctuation
ValueCountFrequency (%)
) 15
100.0%
Open Punctuation
ValueCountFrequency (%)
( 15
100.0%
Space Separator
ValueCountFrequency (%)
9
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 842
95.0%
Common 44
 
5.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
112
 
13.3%
111
 
13.2%
80
 
9.5%
49
 
5.8%
48
 
5.7%
32
 
3.8%
24
 
2.9%
23
 
2.7%
20
 
2.4%
10
 
1.2%
Other values (166) 333
39.5%
Common
ValueCountFrequency (%)
) 15
34.1%
( 15
34.1%
9
20.5%
1 3
 
6.8%
2 2
 
4.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 842
95.0%
ASCII 44
 
5.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
112
 
13.3%
111
 
13.2%
80
 
9.5%
49
 
5.8%
48
 
5.7%
32
 
3.8%
24
 
2.9%
23
 
2.7%
20
 
2.4%
10
 
1.2%
Other values (166) 333
39.5%
ASCII
ValueCountFrequency (%)
) 15
34.1%
( 15
34.1%
9
20.5%
1 3
 
6.8%
2 2
 
4.5%

관리번호
Text

MISSING 

Distinct104
Distinct (%)100.0%
Missing4
Missing (%)3.7%
Memory size996.0 B
2023-12-13T07:41:42.292089image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length10
Median length10
Mean length10
Min length10

Characters and Unicode

Total characters1040
Distinct characters11
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique104 ?
Unique (%)100.0%

Sample

1st row2001-03-07
2nd row2002-02-01
3rd row2002-02-03
4th row2004-01-01
5th row2002-02-15
ValueCountFrequency (%)
2002-02-01 1
 
1.0%
2002-02-03 1
 
1.0%
2004-03-01 1
 
1.0%
2003-03-16 1
 
1.0%
2002-03-06 1
 
1.0%
2002-02-08 1
 
1.0%
2003-03-14 1
 
1.0%
2002-02-07 1
 
1.0%
2002-01-01 1
 
1.0%
2001-03-15 1
 
1.0%
Other values (94) 94
90.4%
2023-12-13T07:41:42.667236image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 385
37.0%
2 208
20.0%
- 208
20.0%
3 86
 
8.3%
1 79
 
7.6%
4 35
 
3.4%
5 10
 
1.0%
6 10
 
1.0%
7 8
 
0.8%
8 6
 
0.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 832
80.0%
Dash Punctuation 208
 
20.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 385
46.3%
2 208
25.0%
3 86
 
10.3%
1 79
 
9.5%
4 35
 
4.2%
5 10
 
1.2%
6 10
 
1.2%
7 8
 
1.0%
8 6
 
0.7%
9 5
 
0.6%
Dash Punctuation
ValueCountFrequency (%)
- 208
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1040
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 385
37.0%
2 208
20.0%
- 208
20.0%
3 86
 
8.3%
1 79
 
7.6%
4 35
 
3.4%
5 10
 
1.0%
6 10
 
1.0%
7 8
 
0.8%
8 6
 
0.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1040
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 385
37.0%
2 208
20.0%
- 208
20.0%
3 86
 
8.3%
1 79
 
7.6%
4 35
 
3.4%
5 10
 
1.0%
6 10
 
1.0%
7 8
 
0.8%
8 6
 
0.6%

지번주소
Text

UNIQUE 

Distinct108
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size996.0 B
2023-12-13T07:41:42.914743image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length23
Median length20
Mean length17.574074
Min length16

Characters and Unicode

Total characters1898
Distinct characters40
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

Unique108 ?
Unique (%)100.0%

Sample

1st row경기도 의정부시 의정부동 509-6
2nd row경기도 의정부시 민락동 735-2
3rd row경기도 의정부시 민락동 692-5
4th row경기도 의정부시 가능동 611
5th row경기도 의정부시 민락동 802
ValueCountFrequency (%)
의정부시 108
24.9%
경기도 106
24.5%
민락동 23
 
5.3%
신곡동 22
 
5.1%
의정부동 21
 
4.8%
가능동 8
 
1.8%
금오동 8
 
1.8%
녹양동 7
 
1.6%
낙양동 6
 
1.4%
호원동 6
 
1.4%
Other values (111) 118
27.3%
2023-12-13T07:41:43.261633image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
325
17.1%
129
 
6.8%
129
 
6.8%
129
 
6.8%
108
 
5.7%
108
 
5.7%
108
 
5.7%
108
 
5.7%
106
 
5.6%
- 68
 
3.6%
Other values (30) 580
30.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1105
58.2%
Decimal Number 400
 
21.1%
Space Separator 325
 
17.1%
Dash Punctuation 68
 
3.6%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
129
11.7%
129
11.7%
129
11.7%
108
9.8%
108
9.8%
108
9.8%
108
9.8%
106
9.6%
23
 
2.1%
23
 
2.1%
Other values (18) 134
12.1%
Decimal Number
ValueCountFrequency (%)
2 52
13.0%
6 49
12.2%
7 46
11.5%
1 45
11.2%
5 44
11.0%
4 40
10.0%
3 38
9.5%
8 36
9.0%
9 29
7.2%
0 21
5.2%
Space Separator
ValueCountFrequency (%)
325
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 68
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1105
58.2%
Common 793
41.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
129
11.7%
129
11.7%
129
11.7%
108
9.8%
108
9.8%
108
9.8%
108
9.8%
106
9.6%
23
 
2.1%
23
 
2.1%
Other values (18) 134
12.1%
Common
ValueCountFrequency (%)
325
41.0%
- 68
 
8.6%
2 52
 
6.6%
6 49
 
6.2%
7 46
 
5.8%
1 45
 
5.7%
5 44
 
5.5%
4 40
 
5.0%
3 38
 
4.8%
8 36
 
4.5%
Other values (2) 50
 
6.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1105
58.2%
ASCII 793
41.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
325
41.0%
- 68
 
8.6%
2 52
 
6.6%
6 49
 
6.2%
7 46
 
5.8%
1 45
 
5.7%
5 44
 
5.5%
4 40
 
5.0%
3 38
 
4.8%
8 36
 
4.5%
Other values (2) 50
 
6.3%
Hangul
ValueCountFrequency (%)
129
11.7%
129
11.7%
129
11.7%
108
9.8%
108
9.8%
108
9.8%
108
9.8%
106
9.6%
23
 
2.1%
23
 
2.1%
Other values (18) 134
12.1%
Distinct101
Distinct (%)93.5%
Missing0
Missing (%)0.0%
Memory size996.0 B
2023-12-13T07:41:43.449712image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length131
Median length59.5
Mean length44.111111
Min length3

Characters and Unicode

Total characters4764
Distinct characters171
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique97 ?
Unique (%)89.8%

Sample

1st row트윈트위스트, 크로스컨트리, 스탭사이클, 롤링웨이스트
2nd row상체근육풀기, 파도타기, 공중걷기, 허리돌리기, 윗몸일으키기, 평행봉
3rd row하늘걷기, 자유평행기구, 싸이클달리기, 온몸허리돌리기, 등허리지압
4th row평행봉, 공중걷기, 파도타기, 트위스트, 바디싣업, 크로스워킹, 터닝암, 스탠드업+마사지롤, 파워프레스+풀웨이트
5th row롤링웨이스트, 트윈트위스트, 풀웨이트, 푸시웨이트+레그프레스, 크로스워킹+스카이워킹
ValueCountFrequency (%)
롤링웨이스트 31
 
4.9%
트윈트위스트 29
 
4.6%
공중걷기 25
 
3.9%
크로스컨트리 24
 
3.8%
허리돌리기 23
 
3.6%
윗몸일으키기 18
 
2.8%
트윈바디싣업 17
 
2.7%
평행봉 17
 
2.7%
상체근육풀기 17
 
2.7%
풀웨이트 16
 
2.5%
Other values (172) 420
65.9%
2023-12-13T07:41:43.762895image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
530
 
11.1%
, 528
 
11.1%
309
 
6.5%
252
 
5.3%
246
 
5.2%
161
 
3.4%
144
 
3.0%
97
 
2.0%
93
 
2.0%
+ 81
 
1.7%
Other values (161) 2323
48.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3603
75.6%
Other Punctuation 539
 
11.3%
Space Separator 530
 
11.1%
Math Symbol 81
 
1.7%
Decimal Number 4
 
0.1%
Open Punctuation 3
 
0.1%
Close Punctuation 3
 
0.1%
Uppercase Letter 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
309
 
8.6%
252
 
7.0%
246
 
6.8%
161
 
4.5%
144
 
4.0%
97
 
2.7%
93
 
2.6%
76
 
2.1%
69
 
1.9%
62
 
1.7%
Other values (152) 2094
58.1%
Other Punctuation
ValueCountFrequency (%)
, 528
98.0%
/ 11
 
2.0%
Decimal Number
ValueCountFrequency (%)
2 3
75.0%
6 1
 
25.0%
Space Separator
ValueCountFrequency (%)
530
100.0%
Math Symbol
ValueCountFrequency (%)
+ 81
100.0%
Open Punctuation
ValueCountFrequency (%)
( 3
100.0%
Close Punctuation
ValueCountFrequency (%)
) 3
100.0%
Uppercase Letter
ValueCountFrequency (%)
D 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3603
75.6%
Common 1160
 
24.3%
Latin 1
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
309
 
8.6%
252
 
7.0%
246
 
6.8%
161
 
4.5%
144
 
4.0%
97
 
2.7%
93
 
2.6%
76
 
2.1%
69
 
1.9%
62
 
1.7%
Other values (152) 2094
58.1%
Common
ValueCountFrequency (%)
530
45.7%
, 528
45.5%
+ 81
 
7.0%
/ 11
 
0.9%
2 3
 
0.3%
( 3
 
0.3%
) 3
 
0.3%
6 1
 
0.1%
Latin
ValueCountFrequency (%)
D 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3603
75.6%
ASCII 1161
 
24.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
530
45.7%
, 528
45.5%
+ 81
 
7.0%
/ 11
 
0.9%
2 3
 
0.3%
( 3
 
0.3%
) 3
 
0.3%
6 1
 
0.1%
D 1
 
0.1%
Hangul
ValueCountFrequency (%)
309
 
8.6%
252
 
7.0%
246
 
6.8%
161
 
4.5%
144
 
4.0%
97
 
2.7%
93
 
2.6%
76
 
2.1%
69
 
1.9%
62
 
1.7%
Other values (152) 2094
58.1%

Missing values

2023-12-13T07:41:41.424950image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T07:41:41.490956image/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

공원명관리번호지번주소시설물 상세내역
0달님문화공원2001-03-07경기도 의정부시 의정부동 509-6트윈트위스트, 크로스컨트리, 스탭사이클, 롤링웨이스트
1중보뜰어린이공원2002-02-01경기도 의정부시 민락동 735-2상체근육풀기, 파도타기, 공중걷기, 허리돌리기, 윗몸일으키기, 평행봉
2평화어린이공원2002-02-03경기도 의정부시 민락동 692-5하늘걷기, 자유평행기구, 싸이클달리기, 온몸허리돌리기, 등허리지압
3색동어린이공원2004-01-01경기도 의정부시 가능동 611평행봉, 공중걷기, 파도타기, 트위스트, 바디싣업, 크로스워킹, 터닝암, 스탠드업+마사지롤, 파워프레스+풀웨이트
4민락교통어린이공원2002-02-15경기도 의정부시 민락동 802롤링웨이스트, 트윈트위스트, 풀웨이트, 푸시웨이트+레그프레스, 크로스워킹+스카이워킹
5신곡어린이공원2003-02-04경기도 의정부시 신곡동 615-78상체근육풀기, 공중걷기, 파도타기, 팔들어올리기, 농구장
6넘실어린이고원2002-02-21경기도 의정부시 민락동 892풀웨이트, 롤링웨이스트, 트윈바디싣업
7푸른마당근린공원2002-02-29경기도 의정부시 민락동 887크로스컨트리, 레그스트레치, 트윈바디싣업, 롤링웨이스트, 스트레칭로라, 워밍암
8솔향어린이공원2002-02-22경기도 의정부시 민락동 872게이트볼장
9어수정어린이공원2004-01-03경기도 의정부시 가능동 679스카이워킹, 터닝암, 사이드스윙, 바디싣업, 푸시웨이트+레그프레스, 크로스컨트리, 파워사이클+트위스트
공원명관리번호지번주소시설물 상세내역
98캠프라과디아체육공원<NA>경기도 의정부시 의정부동 253-35 일원배구장, 조명탑, 다목적운동장, 그리운드골프장, 런닝트레이너, 에어워킹, 양어깨돌리기, 트위스트, 싣업
99느티나무어린이공원2004-03-06경기도 의정부시 녹양동 348레그프레스, 롤링웨이브, 터닝암, 워킹사이클론, 허리돌리기, 윗몸일으키기+공중걷기
100활기체육공원2002-02-23경기도 의정부시 민락동 888공중걷기, 터닝트위스트, 체어플, 트윈워밍암, 스트레칭로라, 레그프레스, 종합운동기구(등허리지압기, 오금펴기, 역기올리기, 달리기 운동), 트윈바디싣업, 바웨이트, 스카이워킹
101희망어린이공원2004-04-01경기도 의정부시 의정부동 225-39공중걷기운동, 옆파도타기, 걷기운동, 마라톤운동, 어깨근육풀기, 온몸돌리기
102탑돌어린이공원2002-01-03경기도 의정부시 용현동 18-3트윈트위스트, 스텝사이클, 체어웨이트, 롤링웨이스트, 크로스컨트리
103민락문화근린공원2002-02-28경기도 의정부시 민락동 900레그프레스, 체어웨이트, 롤링웨이스트, 터닝트위스트, 트윈바디싣업, 워밍암, 스트레칭로라
104방아어린이공원2004-03-04경기도 의정부시 녹양동 410-2풀웨이트, 트윈트위스트, 스텝사이클, 파도타기
105꿈문화공원2003-03-03경기도 의정부시 신곡동 669-2롤링웨이스트, 트윈트위스트, 스텝사이클, 크로스컨트리
106귀락문화공원<NA>경기 의정부시 자일동 69-9트윈트위스트, 노젓기운동, 큰활차머신, 마라톤운동, 옆파도타기, 공중걷기
107장암발곡근린공원<NA>경기 의정부시 신곡동 724-1롤링웨이스트, 스트레칭로라, 워밍암, 크로스컨트리, 윗몸일으키기, 양팔줄다리기, 파워프레스, 푸쉬웨이트, 크로스워킹, 파워사이클, 트위스트, 풀웨이트, 스탠드업, 레그프레스