Overview

Dataset statistics

Number of variables5
Number of observations30
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.4 KiB
Average record size in memory46.4 B

Variable types

Numeric2
Text3

Dataset

Description안산도시공사 야외체육팀에서 관리하는 야외운동기구현황으로 운동장 및 체육시설에 설치되어 있는 야외운동기구의 종류와 갯수를 나타낸 것 입니다.
Author안산도시공사
URLhttps://www.data.go.kr/data/15094980/fileData.do

Alerts

번호 has unique valuesUnique
운동장명 has unique valuesUnique
주소 has unique valuesUnique
운동기구 has unique valuesUnique

Reproduction

Analysis started2023-12-12 00:18:45.268507
Analysis finished2023-12-12 00:18:46.061634
Duration0.79 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

UNIQUE 

Distinct30
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean15.5
Minimum1
Maximum30
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-12T09:18:46.123956image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2.45
Q18.25
median15.5
Q322.75
95-th percentile28.55
Maximum30
Range29
Interquartile range (IQR)14.5

Descriptive statistics

Standard deviation8.8034084
Coefficient of variation (CV)0.56796183
Kurtosis-1.2
Mean15.5
Median Absolute Deviation (MAD)7.5
Skewness0
Sum465
Variance77.5
MonotonicityStrictly increasing
2023-12-12T09:18:46.270756image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%)
1 1
 
3.3%
17 1
 
3.3%
30 1
 
3.3%
29 1
 
3.3%
28 1
 
3.3%
27 1
 
3.3%
26 1
 
3.3%
25 1
 
3.3%
24 1
 
3.3%
23 1
 
3.3%
Other values (20) 20
66.7%
ValueCountFrequency (%)
1 1
3.3%
2 1
3.3%
3 1
3.3%
4 1
3.3%
5 1
3.3%
6 1
3.3%
7 1
3.3%
8 1
3.3%
9 1
3.3%
10 1
3.3%
ValueCountFrequency (%)
30 1
3.3%
29 1
3.3%
28 1
3.3%
27 1
3.3%
26 1
3.3%
25 1
3.3%
24 1
3.3%
23 1
3.3%
22 1
3.3%
21 1
3.3%

운동장명
Text

UNIQUE 

Distinct30
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size372.0 B
2023-12-12T09:18:46.507960image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length11
Median length5
Mean length5.8666667
Min length5

Characters and Unicode

Total characters176
Distinct characters68
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

Unique30 ?
Unique (%)100.0%

Sample

1st row관산운동장
2nd row능길운동장
3rd row능안운동장
4th row당곡운동장
5th row돌안말운동장
ValueCountFrequency (%)
관산운동장 1
 
3.1%
능길운동장 1
 
3.1%
점섬운동장 1
 
3.1%
장화운동장 1
 
3.1%
은하수운동장 1
 
3.1%
유소년스포츠타운 1
 
3.1%
월성체육시설 1
 
3.1%
용하운동장 1
 
3.1%
안골운동장 1
 
3.1%
시낭운동장 1
 
3.1%
Other values (22) 22
68.8%
2023-12-12T09:18:46.897859image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
운 21
 
11.9%
동 21
 
11.9%
장 21
 
11.9%
시 6
 
3.4%
수 6
 
3.4%
체 4
 
2.3%
설 4
 
2.3%
하 4
 
2.3%
육 4
 
2.3%
배 3
 
1.7%
Other values (58) 82
46.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 174
98.9%
Space Separator 2
 
1.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
운 21
 
12.1%
동 21
 
12.1%
장 21
 
12.1%
시 6
 
3.4%
수 6
 
3.4%
체 4
 
2.3%
설 4
 
2.3%
하 4
 
2.3%
육 4
 
2.3%
배 3
 
1.7%
Other values (57) 80
46.0%
Space Separator
ValueCountFrequency (%)
2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 174
98.9%
Common 2
 
1.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
운 21
 
12.1%
동 21
 
12.1%
장 21
 
12.1%
시 6
 
3.4%
수 6
 
3.4%
체 4
 
2.3%
설 4
 
2.3%
하 4
 
2.3%
육 4
 
2.3%
배 3
 
1.7%
Other values (57) 80
46.0%
Common
ValueCountFrequency (%)
2
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 174
98.9%
ASCII 2
 
1.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
운 21
 
12.1%
동 21
 
12.1%
장 21
 
12.1%
시 6
 
3.4%
수 6
 
3.4%
체 4
 
2.3%
설 4
 
2.3%
하 4
 
2.3%
육 4
 
2.3%
배 3
 
1.7%
Other values (57) 80
46.0%
ASCII
ValueCountFrequency (%)
2
100.0%

주소
Text

UNIQUE 

Distinct30
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size372.0 B
2023-12-12T09:18:47.139498image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length11
Median length10
Mean length8.1333333
Min length6

Characters and Unicode

Total characters244
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

Unique30 ?
Unique (%)100.0%

Sample

1st row원곡동 936
2nd row신길동 1053
3rd row목내동 472
4th row고잔동 677-1
5th row성곡동 627-2
ValueCountFrequency (%)
사동 5
 
8.2%
신길동 3
 
4.9%
본오동 3
 
4.9%
이동 2
 
3.3%
고잔동 2
 
3.3%
선부동 2
 
3.3%
부곡동 2
 
3.3%
원곡동 1
 
1.6%
719-1 1
 
1.6%
33-6 1
 
1.6%
Other values (39) 39
63.9%
2023-12-12T09:18:47.596041image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
31
12.7%
동 30
12.3%
1 21
 
8.6%
7 17
 
7.0%
- 15
 
6.1%
3 14
 
5.7%
2 13
 
5.3%
5 11
 
4.5%
6 10
 
4.1%
9 8
 
3.3%
Other values (30) 74
30.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 115
47.1%
Other Letter 83
34.0%
Space Separator 31
 
12.7%
Dash Punctuation 15
 
6.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 30
36.1%
사 5
 
6.0%
곡 5
 
6.0%
부 4
 
4.8%
본 3
 
3.6%
오 3
 
3.6%
길 3
 
3.6%
신 3
 
3.6%
일 2
 
2.4%
이 2
 
2.4%
Other values (18) 23
27.7%
Decimal Number
ValueCountFrequency (%)
1 21
18.3%
7 17
14.8%
3 14
12.2%
2 13
11.3%
5 11
9.6%
6 10
8.7%
9 8
 
7.0%
0 8
 
7.0%
8 7
 
6.1%
4 6
 
5.2%
Space Separator
ValueCountFrequency (%)
31
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 15
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 161
66.0%
Hangul 83
34.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 30
36.1%
사 5
 
6.0%
곡 5
 
6.0%
부 4
 
4.8%
본 3
 
3.6%
오 3
 
3.6%
길 3
 
3.6%
신 3
 
3.6%
일 2
 
2.4%
이 2
 
2.4%
Other values (18) 23
27.7%
Common
ValueCountFrequency (%)
31
19.3%
1 21
13.0%
7 17
10.6%
- 15
9.3%
3 14
8.7%
2 13
8.1%
5 11
 
6.8%
6 10
 
6.2%
9 8
 
5.0%
0 8
 
5.0%
Other values (2) 13
8.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 161
66.0%
Hangul 83
34.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
31
19.3%
1 21
13.0%
7 17
10.6%
- 15
9.3%
3 14
8.7%
2 13
8.1%
5 11
 
6.8%
6 10
 
6.2%
9 8
 
5.0%
0 8
 
5.0%
Other values (2) 13
8.1%
Hangul
ValueCountFrequency (%)
동 30
36.1%
사 5
 
6.0%
곡 5
 
6.0%
부 4
 
4.8%
본 3
 
3.6%
오 3
 
3.6%
길 3
 
3.6%
신 3
 
3.6%
일 2
 
2.4%
이 2
 
2.4%
Other values (18) 23
27.7%

운동기구
Text

UNIQUE 

Distinct30
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size372.0 B
2023-12-12T09:18:47.883072image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length155
Median length70.5
Mean length65.133333
Min length18

Characters and Unicode

Total characters1954
Distinct characters112
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique30 ?
Unique (%)100.0%

Sample

1st row어깨돌리기, 턱걸이, 등지압, 윗몸일으키기, 허리돌리기, 다리들어올리기, 역기들어올리기, 온몸들어올리기, 전신운동기, 평행봉
2nd row체스트프레스, 레그프레스, 허리돌리기, 하체흔딜기, 온몸근육풀기, 윗몸일으키기
3rd row체스트프레스, 레그프레스, 달리기운동기구, 노젓기
4th row허리돌리기(3), 자유평행봉, 어깨돌리기, 턱걸이, 온몸역기올리기, 마라톤운동, 철봉, 팔굽혀펴기, 윗몸일으키기
5th row체스트프레스, 레그프레스(2), 달리기운동기구, 노젓기, 공중걷기, 하이풀리운동기구, 좌식헬스사이클, 평행봉, 등허리지압기, 철봉, 허리돌리기(3), 옆파도타기, 온몸노젓기, 마라톤운동
ValueCountFrequency (%)
윗몸일으키기 13
 
5.2%
허리돌리기 12
 
4.8%
온몸들어올리기 10
 
4.0%
어깨돌리기 9
 
3.6%
다리펴기 8
 
3.2%
전신운동기 8
 
3.2%
체스트프레스 8
 
3.2%
역기들어올리기 8
 
3.2%
평행봉 7
 
2.8%
레그프레스 7
 
2.8%
Other values (78) 160
64.0%
2023-12-12T09:18:48.338809image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
기 222
 
11.4%
221
 
11.3%
, 220
 
11.3%
리 150
 
7.7%
몸 47
 
2.4%
어 45
 
2.3%
동 44
 
2.3%
운 44
 
2.3%
돌 42
 
2.1%
허 37
 
1.9%
Other values (102) 882
45.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1440
73.7%
Other Punctuation 248
 
12.7%
Space Separator 221
 
11.3%
Open Punctuation 15
 
0.8%
Close Punctuation 15
 
0.8%
Decimal Number 15
 
0.8%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
기 222
 
15.4%
리 150
 
10.4%
몸 47
 
3.3%
어 45
 
3.1%
동 44
 
3.1%
운 44
 
3.1%
돌 42
 
2.9%
허 37
 
2.6%
스 33
 
2.3%
온 31
 
2.2%
Other values (94) 745
51.7%
Other Punctuation
ValueCountFrequency (%)
, 220
88.7%
& 24
 
9.7%
· 4
 
1.6%
Decimal Number
ValueCountFrequency (%)
2 12
80.0%
3 3
 
20.0%
Space Separator
ValueCountFrequency (%)
221
100.0%
Open Punctuation
ValueCountFrequency (%)
( 15
100.0%
Close Punctuation
ValueCountFrequency (%)
) 15
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1440
73.7%
Common 514
 
26.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
기 222
 
15.4%
리 150
 
10.4%
몸 47
 
3.3%
어 45
 
3.1%
동 44
 
3.1%
운 44
 
3.1%
돌 42
 
2.9%
허 37
 
2.6%
스 33
 
2.3%
온 31
 
2.2%
Other values (94) 745
51.7%
Common
ValueCountFrequency (%)
221
43.0%
, 220
42.8%
& 24
 
4.7%
( 15
 
2.9%
) 15
 
2.9%
2 12
 
2.3%
· 4
 
0.8%
3 3
 
0.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1440
73.7%
ASCII 510
 
26.1%
None 4
 
0.2%

Most frequent character per block

Hangul
ValueCountFrequency (%)
기 222
 
15.4%
리 150
 
10.4%
몸 47
 
3.3%
어 45
 
3.1%
동 44
 
3.1%
운 44
 
3.1%
돌 42
 
2.9%
허 37
 
2.6%
스 33
 
2.3%
온 31
 
2.2%
Other values (94) 745
51.7%
ASCII
ValueCountFrequency (%)
221
43.3%
, 220
43.1%
& 24
 
4.7%
( 15
 
2.9%
) 15
 
2.9%
2 12
 
2.4%
3 3
 
0.6%
None
ValueCountFrequency (%)
· 4
100.0%

합계
Real number (ℝ)

Distinct12
Distinct (%)40.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8.9
Minimum3
Maximum17
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-12T09:18:48.504301image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3
5-th percentile3
Q15.25
median9
Q311
95-th percentile17
Maximum17
Range14
Interquartile range (IQR)5.75

Descriptive statistics

Standard deviation4.4902193
Coefficient of variation (CV)0.50451902
Kurtosis-0.79736837
Mean8.9
Median Absolute Deviation (MAD)3
Skewness0.43521014
Sum267
Variance20.162069
MonotonicityNot monotonic
2023-12-12T09:18:48.630808image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
10 5
16.7%
6 4
13.3%
3 4
13.3%
11 3
10.0%
17 3
10.0%
9 3
10.0%
4 2
 
6.7%
5 2
 
6.7%
7 1
 
3.3%
15 1
 
3.3%
Other values (2) 2
 
6.7%
ValueCountFrequency (%)
3 4
13.3%
4 2
 
6.7%
5 2
 
6.7%
6 4
13.3%
7 1
 
3.3%
9 3
10.0%
10 5
16.7%
11 3
10.0%
14 1
 
3.3%
15 1
 
3.3%
ValueCountFrequency (%)
17 3
10.0%
16 1
 
3.3%
15 1
 
3.3%
14 1
 
3.3%
11 3
10.0%
10 5
16.7%
9 3
10.0%
7 1
 
3.3%
6 4
13.3%
5 2
 
6.7%

Interactions

2023-12-12T09:18:45.692312image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T09:18:45.512494image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T09:18:45.779499image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T09:18:45.604745image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T09:18:48.741912image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
번호운동장명주소운동기구합계
번호1.0001.0001.0001.0000.397
운동장명1.0001.0001.0001.0001.000
주소1.0001.0001.0001.0001.000
운동기구1.0001.0001.0001.0001.000
합계0.3971.0001.0001.0001.000
2023-12-12T09:18:48.878839image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
번호합계
번호1.000-0.109
합계-0.1091.000

Missing values

2023-12-12T09:18:45.912217image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T09:18:46.024151image/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

번호운동장명주소운동기구합계
01관산운동장원곡동 936어깨돌리기, 턱걸이, 등지압, 윗몸일으키기, 허리돌리기, 다리들어올리기, 역기들어올리기, 온몸들어올리기, 전신운동기, 평행봉10
12능길운동장신길동 1053체스트프레스, 레그프레스, 허리돌리기, 하체흔딜기, 온몸근육풀기, 윗몸일으키기6
23능안운동장목내동 472체스트프레스, 레그프레스, 달리기운동기구, 노젓기4
34당곡운동장고잔동 677-1허리돌리기(3), 자유평행봉, 어깨돌리기, 턱걸이, 온몸역기올리기, 마라톤운동, 철봉, 팔굽혀펴기, 윗몸일으키기11
45돌안말운동장성곡동 627-2체스트프레스, 레그프레스(2), 달리기운동기구, 노젓기, 공중걷기, 하이풀리운동기구, 좌식헬스사이클, 평행봉, 등허리지압기, 철봉, 허리돌리기(3), 옆파도타기, 온몸노젓기, 마라톤운동17
56민속운동장고잔동 779자유평행봉&온몸역기내리기, 어깨근육풀기&하늘걷기, 마라톤운동&등·허리지압기, 온몸근육풀기&온몸역기올리기, 양팔줄당기기&하늘걷기, 마라톤운동&온몸허리돌리기(2), 체스트프레스, 옆파도타기, 하늘걷기, 온몸노젓기11
67석수골운동장선부동 1068허리돌리기, 오금펴기, 파도타기, 어깨돌리기, 양어깨돌리기, 다리관절운동기, 등지압, 역기들어올리기, 전신운동기, 등가슴운동기, 평행봉(2), 철봉(2), 윗몸일으키기, 구름사다리, 링철봉17
78선부배수지선부동 산 128-4양어깨돌리기, 턱걸이, 등지압, 윗몸일으키기, 허리돌리기, 다리들어올리기, 역기들어올리기, 온몸들어올리기, 전신운동기, 등가슴운동기10
89성곡고가하부 체육시설신길동 26-10팔관절운동&원그리기, 가로하늘타기&앉아밀기, 달리기&하늘걷기, 허리돌리기&온몸허리돌리기, 평행봉&등허리마사지, 앉아밀어주기, 자전거타기6
910신길교하부체육시설신길동 1377-1체스트프레스, 레그프레스, 하체흔들기, 공중걷기, 팔관절운동&원그리기, 허리돌리기&온몸허리돌리기, 자전거타기7
번호운동장명주소운동기구합계
2021상록수스포츠존본오동 1177체스트프레스, 레그프레스, 허리돌리기, 온몸근육풀기, 윗몸일으키기, 등·허리운동기구, 공중걷기, 양팔줄당기기, 등허리지압운동, 다리근육풀기운동기구10
2122시낭운동장부곡동 719-1양어깨돌리기, 다리관절운동기, 등지압, 윗몸일으키기, 허리돌리기, 다리들어올리기, 온몸들어올리기, 전신운동기, 거꾸리9
2223안골운동장일동 720어깨돌리기, 다리관절운동기, 턱걸이, 윗몸일으키기, 허리돌리기, 다리들어올리기, 역기들어올리기, 전신운동기, 평행봉, 등가슴운동기10
2324용하운동장사동 1535-2어깨돌리기, 다리관절운동기, 윗몸일으키기, 허리돌리기(3), 온몸들어올리기, 평행봉(2), 다리펴기, 온몸역기올리기, 온몸허리돌리기, 하늘걷기, 옆파도타기, 온몸노젓기, 마라톤운동16
2425월성체육시설월피동 479-19어깨돌리기, 등지압(2), 온몸들어올리기, 전신운동기, 다리펴기, 옆파도타기, 온몸허리돌리기, 하늘걷기(2), 달리기운동, 파도타기, 오금펴기, 어깨근육풀기14
2526유소년스포츠타운본오동 665-55허리돌리기, 하체흔들기, 공중걷기3
2627은하수운동장사동 1253-8등허리운동기구, 하이풀리운동기구, 좌식헬스사이클, 파도타기, 하늘걷기, 달리기, 어깨근육풀기, 허리돌리기, 다리펴기9
2728장화운동장사동 1502-1체스트프레스, 레그프레스, 허리돌리기, 하체흔들기, 공중걷기5
2829점섬운동장부곡동 705노젓기운동, 상체근육풀기, 스텝퍼, 역기내리기, 역기올리기, 하체근육풀기, 등·허리지압기&마라톤운동, 어깨근육풀기&하늘걷기, 옆파도타기&온몸허리돌리기, 윗몸일으키기&다리뻗치기, 자유평행봉&온몸역기내리기, 마라톤운동, 옆파도타기, 온몸허리돌리기, 하늘걷기, 윗몸일으키기, 평행봉17
2930창말운동장건건동 489-5양어깨돌리기, 다리관절운동기, 허리돌리기, 온몸들어올리기, 다리펴기5