Overview

Dataset statistics

Number of variables6
Number of observations116
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory5.7 KiB
Average record size in memory50.1 B

Variable types

Categorical4
Text2

Alerts

고장현황 is highly imbalanced (92.8%)Imbalance

Reproduction

Analysis started2024-01-09 20:29:36.132395
Analysis finished2024-01-09 20:29:36.623279
Duration0.49 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

읍면동
Categorical

Distinct17
Distinct (%)14.7%
Missing0
Missing (%)0.0%
Memory size1.0 KiB
배방읍
17 
신창면
13 
도고면
12 
둔포면
11 
음봉면
9 
Other values (12)
54 

Length

Max length4
Median length3
Mean length3.1465517
Min length3

Unique

Unique1 ?
Unique (%)0.9%

Sample

1st row온양1동
2nd row온양2동
3rd row온양2동
4th row온양3동
5th row온양3동

Common Values

ValueCountFrequency (%)
배방읍 17
14.7%
신창면 13
11.2%
도고면 12
10.3%
둔포면 11
9.5%
음봉면 9
7.8%
선장면 8
 
6.9%
인주면 8
 
6.9%
염치읍 7
 
6.0%
송악면 7
 
6.0%
온양6동 4
 
3.4%
Other values (7) 20
17.2%

Length

2024-01-10T05:29:36.915967image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
배방읍 17
14.7%
신창면 13
11.2%
도고면 12
10.3%
둔포면 11
9.5%
음봉면 9
7.8%
선장면 8
 
6.9%
인주면 8
 
6.9%
송악면 7
 
6.0%
염치읍 7
 
6.0%
온양6동 4
 
3.4%
Other values (7) 20
17.2%

설치위치
Text

Distinct114
Distinct (%)98.3%
Missing0
Missing (%)0.0%
Memory size1.0 KiB
2024-01-10T05:29:37.126241image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length27
Median length19
Mean length13.741379
Min length7

Characters and Unicode

Total characters1594
Distinct characters119
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique112 ?
Unique (%)96.6%

Sample

1st row온천동 272-17
2nd row온천동 1910
3rd row온천동 1910
4th row모종동 578
5th row권곡동 443-229
ValueCountFrequency (%)
배방읍 17
 
5.1%
신창면 13
 
3.9%
도고면 12
 
3.6%
둔포면 11
 
3.3%
음봉면 9
 
2.7%
인주면 8
 
2.4%
선장면 8
 
2.4%
염치읍 7
 
2.1%
송악면 7
 
2.1%
신언리 4
 
1.2%
Other values (193) 237
71.2%
2024-01-10T05:29:37.485075image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
217
 
13.6%
리 132
 
8.3%
- 81
 
5.1%
1 79
 
5.0%
2 78
 
4.9%
3 76
 
4.8%
면 75
 
4.7%
4 53
 
3.3%
5 43
 
2.7%
신 39
 
2.4%
Other values (109) 721
45.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 763
47.9%
Decimal Number 461
28.9%
Space Separator 217
 
13.6%
Dash Punctuation 81
 
5.1%
Open Punctuation 36
 
2.3%
Close Punctuation 36
 
2.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
리 132
 
17.3%
면 75
 
9.8%
신 39
 
5.1%
읍 27
 
3.5%
방 22
 
2.9%
동 22
 
2.9%
배 18
 
2.4%
포 17
 
2.2%
둔 17
 
2.2%
창 15
 
2.0%
Other values (95) 379
49.7%
Decimal Number
ValueCountFrequency (%)
1 79
17.1%
2 78
16.9%
3 76
16.5%
4 53
11.5%
5 43
9.3%
7 35
7.6%
9 27
 
5.9%
0 25
 
5.4%
8 24
 
5.2%
6 21
 
4.6%
Space Separator
ValueCountFrequency (%)
217
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 81
100.0%
Open Punctuation
ValueCountFrequency (%)
( 36
100.0%
Close Punctuation
ValueCountFrequency (%)
) 36
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 831
52.1%
Hangul 763
47.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
리 132
 
17.3%
면 75
 
9.8%
신 39
 
5.1%
읍 27
 
3.5%
방 22
 
2.9%
동 22
 
2.9%
배 18
 
2.4%
포 17
 
2.2%
둔 17
 
2.2%
창 15
 
2.0%
Other values (95) 379
49.7%
Common
ValueCountFrequency (%)
217
26.1%
- 81
 
9.7%
1 79
 
9.5%
2 78
 
9.4%
3 76
 
9.1%
4 53
 
6.4%
5 43
 
5.2%
( 36
 
4.3%
) 36
 
4.3%
7 35
 
4.2%
Other values (4) 97
11.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 831
52.1%
Hangul 763
47.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
217
26.1%
- 81
 
9.7%
1 79
 
9.5%
2 78
 
9.4%
3 76
 
9.1%
4 53
 
6.4%
5 43
 
5.2%
( 36
 
4.3%
) 36
 
4.3%
7 35
 
4.2%
Other values (4) 97
11.7%
Hangul
ValueCountFrequency (%)
리 132
 
17.3%
면 75
 
9.8%
신 39
 
5.1%
읍 27
 
3.5%
방 22
 
2.9%
동 22
 
2.9%
배 18
 
2.4%
포 17
 
2.2%
둔 17
 
2.2%
창 15
 
2.0%
Other values (95) 379
49.7%

운동기구명
Text

Distinct99
Distinct (%)85.3%
Missing0
Missing (%)0.0%
Memory size1.0 KiB
2024-01-10T05:29:37.663413image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length73
Median length42
Mean length28.215517
Min length11

Characters and Unicode

Total characters3273
Distinct characters84
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

Unique91 ?
Unique (%)78.4%

Sample

1st row달리기운동+하늘걷기(스윙워커), 활차머신, 허리돌리기
2nd row역기올리기(체스트업), 다리근육풀기(트렁크로라머신), 허리돌리기, 하늘걷기
3rd row활차머신, 로라맛사지+달리기운동, 하늘걷기+역기내리기, 옆파도타기(써핑롤링)+허리돌리기
4th row하늘걷기, 옆파도타기 2, 허리돌리기
5th row옆파도타기+다리뻗치기(레그프레스), 하늘걷기+허리돌리기, 활차머신
ValueCountFrequency (%)
활차머신 43
 
11.7%
옆파도타기 29
 
7.9%
허리돌리기 26
 
7.1%
하늘걷기 23
 
6.3%
다리뻗치기 22
 
6.0%
달리기운동+하늘걷기 18
 
4.9%
역기올리기+역기내리기 12
 
3.3%
역기올리기 11
 
3.0%
달리기운동+옆파도타기 9
 
2.5%
옆파도타기+하늘걷기 9
 
2.5%
Other values (70) 164
44.8%
2024-01-10T05:29:37.991511image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
기 491
 
15.0%
리 298
 
9.1%
, 255
 
7.8%
250
 
7.6%
+ 172
 
5.3%
신 91
 
2.8%
머 91
 
2.8%
차 90
 
2.7%
활 90
 
2.7%
허 83
 
2.5%
Other values (74) 1362
41.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2585
79.0%
Other Punctuation 255
 
7.8%
Space Separator 250
 
7.6%
Math Symbol 172
 
5.3%
Close Punctuation 5
 
0.2%
Open Punctuation 5
 
0.2%
Decimal Number 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
기 491
19.0%
리 298
 
11.5%
신 91
 
3.5%
머 91
 
3.5%
차 90
 
3.5%
활 90
 
3.5%
허 83
 
3.2%
타 83
 
3.2%
도 72
 
2.8%
파 72
 
2.8%
Other values (68) 1124
43.5%
Other Punctuation
ValueCountFrequency (%)
, 255
100.0%
Space Separator
ValueCountFrequency (%)
250
100.0%
Math Symbol
ValueCountFrequency (%)
+ 172
100.0%
Close Punctuation
ValueCountFrequency (%)
) 5
100.0%
Open Punctuation
ValueCountFrequency (%)
( 5
100.0%
Decimal Number
ValueCountFrequency (%)
2 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2585
79.0%
Common 688
 
21.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
기 491
19.0%
리 298
 
11.5%
신 91
 
3.5%
머 91
 
3.5%
차 90
 
3.5%
활 90
 
3.5%
허 83
 
3.2%
타 83
 
3.2%
도 72
 
2.8%
파 72
 
2.8%
Other values (68) 1124
43.5%
Common
ValueCountFrequency (%)
, 255
37.1%
250
36.3%
+ 172
25.0%
) 5
 
0.7%
( 5
 
0.7%
2 1
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2585
79.0%
ASCII 688
 
21.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
기 491
19.0%
리 298
 
11.5%
신 91
 
3.5%
머 91
 
3.5%
차 90
 
3.5%
활 90
 
3.5%
허 83
 
3.2%
타 83
 
3.2%
도 72
 
2.8%
파 72
 
2.8%
Other values (68) 1124
43.5%
ASCII
ValueCountFrequency (%)
, 255
37.1%
250
36.3%
+ 172
25.0%
) 5
 
0.7%
( 5
 
0.7%
2 1
 
0.1%

설치년도(년)
Categorical

Distinct5
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Memory size1.0 KiB
2016
29 
2015
25 
2019
23 
2018
22 
2017
17 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2017
2nd row2019
3rd row2016
4th row2018
5th row2018

Common Values

ValueCountFrequency (%)
2016 29
25.0%
2015 25
21.6%
2019 23
19.8%
2018 22
19.0%
2017 17
14.7%

Length

2024-01-10T05:29:38.104884image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-10T05:29:38.195516image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2016 29
25.0%
2015 25
21.6%
2019 23
19.8%
2018 22
19.0%
2017 17
14.7%

설치업체
Categorical

Distinct17
Distinct (%)14.7%
Missing0
Missing (%)0.0%
Memory size1.0 KiB
㈜오리온햄프로
38 
명성이앤비㈜
18 
㈜개선스포츠
12 
㈜제일체육공사
9 
열린스포츠
8 
Other values (12)
31 

Length

Max length8
Median length7
Mean length6.2672414
Min length4

Unique

Unique5 ?
Unique (%)4.3%

Sample

1st row명성이앤비㈜
2nd row명성이앤비㈜
3rd row큐스포츠
4th row㈜오리온햄프로
5th row㈜명성이앤비

Common Values

ValueCountFrequency (%)
㈜오리온햄프로 38
32.8%
명성이앤비㈜ 18
15.5%
㈜개선스포츠 12
 
10.3%
㈜제일체육공사 9
 
7.8%
열린스포츠 8
 
6.9%
호진기계주식회사 7
 
6.0%
큐스포츠 5
 
4.3%
㈜개선스프츠 4
 
3.4%
삼성스포츠 3
 
2.6%
㈜명성이앤비 3
 
2.6%
Other values (7) 9
 
7.8%

Length

2024-01-10T05:29:38.308947image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
㈜오리온햄프로 38
32.8%
명성이앤비㈜ 18
15.5%
㈜개선스포츠 12
 
10.3%
㈜제일체육공사 9
 
7.8%
열린스포츠 8
 
6.9%
호진기계주식회사 7
 
6.0%
큐스포츠 5
 
4.3%
㈜개선스프츠 4
 
3.4%
㈜명성이앤비 3
 
2.6%
삼성스포츠 3
 
2.6%
Other values (7) 9
 
7.8%

고장현황
Categorical

IMBALANCE 

Distinct2
Distinct (%)1.7%
Missing0
Missing (%)0.0%
Memory size1.0 KiB
해당없음
115 
수리필요
 
1

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique1 ?
Unique (%)0.9%

Sample

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

Common Values

ValueCountFrequency (%)
해당없음 115
99.1%
수리필요 1
 
0.9%

Length

2024-01-10T05:29:38.417186image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-10T05:29:38.503196image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
해당없음 115
99.1%
수리필요 1
 
0.9%

Correlations

2024-01-10T05:29:38.559554image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
읍면동운동기구명설치년도(년)설치업체고장현황
읍면동1.0000.9750.1650.8050.000
운동기구명0.9751.0000.9130.9971.000
설치년도(년)0.1650.9131.0000.5290.043
설치업체0.8050.9970.5291.0000.000
고장현황0.0001.0000.0430.0001.000
2024-01-10T05:29:38.646717image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
설치업체읍면동설치년도(년)고장현황
설치업체1.0000.3080.2870.000
읍면동0.3081.0000.0720.000
설치년도(년)0.2870.0721.0000.049
고장현황0.0000.0000.0491.000
2024-01-10T05:29:38.732777image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
읍면동설치년도(년)설치업체고장현황
읍면동1.0000.0720.3080.000
설치년도(년)0.0721.0000.2870.049
설치업체0.3080.2871.0000.000
고장현황0.0000.0490.0001.000

Missing values

2024-01-10T05:29:36.499974image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-01-10T05:29:36.586319image/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

읍면동설치위치운동기구명설치년도(년)설치업체고장현황
0온양1동온천동 272-17달리기운동+하늘걷기(스윙워커), 활차머신, 허리돌리기2017명성이앤비㈜해당없음
1온양2동온천동 1910역기올리기(체스트업), 다리근육풀기(트렁크로라머신), 허리돌리기, 하늘걷기2019명성이앤비㈜해당없음
2온양2동온천동 1910활차머신, 로라맛사지+달리기운동, 하늘걷기+역기내리기, 옆파도타기(써핑롤링)+허리돌리기2016큐스포츠해당없음
3온양3동모종동 578하늘걷기, 옆파도타기 2, 허리돌리기2018㈜오리온햄프로해당없음
4온양3동권곡동 443-229옆파도타기+다리뻗치기(레그프레스), 하늘걷기+허리돌리기, 활차머신2018㈜명성이앤비해당없음
5온양3동권곡동 610역기올리기, 로라맛사지+달리기운동, 하늘걷기, 옆파도타기+허리돌리기2016㈜제일체육공사해당없음
6온양3동권곡동 85-3다리뻗치기, 하늘걷기, 옆파도타기2015㈜오리온햄프로해당없음
7온양4동방축동 134-36허리돌리기, 옆파도타기, 활차머신2017㈜오리온햄프로해당없음
8온양4동배미동 239-14다리뻗치기, 하늘걷기, 옆파도타기2015㈜오리온햄프로해당없음
9온양4동방축동 140-7윗몸일으키기, 역기올리기+활차머신, 하늘걷기+역기내리기, 옆파도타기+허리돌리기2015㈜제일체육공사해당없음
읍면동설치위치운동기구명설치년도(년)설치업체고장현황
106신창면신창면 남성리 423-1(남성1리)달리기운동+옆파도타기, 활차머신, 역기올리기+역기내리기2018㈜오리온햄프로해당없음
107신창면신창면 남성리 205-1(남성6리)다리근육풀기, 활차머신, 철봉, 옆파도타기2018㈜오리온햄프로해당없음
108신창면신창면 읍내리 579-9(읍내4리)체어풀, 거꾸리, 달리기운동, 활차머신, 윗몸일으키기2018㈜오리온햄프로해당없음
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