Overview

Dataset statistics

Number of variables14
Number of observations237
Missing cells2011
Missing cells (%)60.6%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory26.1 KiB
Average record size in memory112.6 B

Variable types

Text13
Categorical1

Dataset

Description충청남도 천안시 관내 실외운동기구 현황입니다. 천안시 관내 실외운동기구(소재지, 운동기구목록 등)의 항목을 제공합니다.
Author충청남도
URLhttps://alldam.chungnam.go.kr/index.chungnam?menuCd=DOM_000000201001001001&st=&cds=&orgCd=&apiType=&isOpen=Y&pageIndex=422&beforeMenuCd=DOM_000000201001001000&publicdatapk=15037957

Alerts

운동기구11 has constant value ""Constant
운동기구12 has constant value ""Constant
관리부서 has constant value ""Constant
운동기구3 has 84 (35.4%) missing valuesMissing
운동기구4 has 146 (61.6%) missing valuesMissing
운동기구5 has 175 (73.8%) missing valuesMissing
운동기구6 has 213 (89.9%) missing valuesMissing
운동기구7 has 223 (94.1%) missing valuesMissing
운동기구8 has 230 (97.0%) missing valuesMissing
운동기구9 has 232 (97.9%) missing valuesMissing
운동기구10 has 234 (98.7%) missing valuesMissing
운동기구11 has 236 (99.6%) missing valuesMissing
운동기구12 has 236 (99.6%) missing valuesMissing
소재지 has unique valuesUnique

Reproduction

Analysis started2024-01-09 22:57:28.848251
Analysis finished2024-01-09 22:57:30.301337
Duration1.45 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

소재지
Text

UNIQUE 

Distinct237
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size2.0 KiB
2024-01-10T07:57:30.556716image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length33
Median length30
Mean length21.025316
Min length16

Characters and Unicode

Total characters4983
Distinct characters175
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

Unique237 ?
Unique (%)100.0%

Sample

1st row충청남도 천안시 목천읍 천정3길4
2nd row충청남도 천안시 목천읍 천정2길 46
3rd row충청남도 천안시 목천읍 삼성3길 23
4th row충청남도 천안시 목천읍 삼성1길 7
5th row충청남도 천안시 목천읍 교천3길 12-5
ValueCountFrequency (%)
충청남도 237
20.5%
천안시 237
20.5%
성환읍 30
 
2.6%
입장면 24
 
2.1%
성거읍 21
 
1.8%
직산읍 20
 
1.7%
풍세면 19
 
1.6%
목천읍 15
 
1.3%
성남면 13
 
1.1%
수신면 11
 
0.9%
Other values (412) 531
45.9%
2024-01-10T07:57:30.998389image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
921
18.5%
천 281
 
5.6%
안 260
 
5.2%
남 259
 
5.2%
청 245
 
4.9%
도 243
 
4.9%
시 241
 
4.8%
충 237
 
4.8%
1 170
 
3.4%
- 136
 
2.7%
Other values (165) 1990
39.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3076
61.7%
Space Separator 921
 
18.5%
Decimal Number 839
 
16.8%
Dash Punctuation 136
 
2.7%
Close Punctuation 5
 
0.1%
Open Punctuation 5
 
0.1%
Math Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
천 281
 
9.1%
안 260
 
8.5%
남 259
 
8.4%
청 245
 
8.0%
도 243
 
7.9%
시 241
 
7.8%
충 237
 
7.7%
성 101
 
3.3%
길 98
 
3.2%
면 96
 
3.1%
Other values (150) 1015
33.0%
Decimal Number
ValueCountFrequency (%)
1 170
20.3%
2 136
16.2%
4 99
11.8%
3 88
10.5%
5 77
9.2%
8 59
 
7.0%
6 58
 
6.9%
0 54
 
6.4%
7 51
 
6.1%
9 47
 
5.6%
Space Separator
ValueCountFrequency (%)
921
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 136
100.0%
Close Punctuation
ValueCountFrequency (%)
) 5
100.0%
Open Punctuation
ValueCountFrequency (%)
( 5
100.0%
Math Symbol
ValueCountFrequency (%)
+ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3076
61.7%
Common 1907
38.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
천 281
 
9.1%
안 260
 
8.5%
남 259
 
8.4%
청 245
 
8.0%
도 243
 
7.9%
시 241
 
7.8%
충 237
 
7.7%
성 101
 
3.3%
길 98
 
3.2%
면 96
 
3.1%
Other values (150) 1015
33.0%
Common
ValueCountFrequency (%)
921
48.3%
1 170
 
8.9%
- 136
 
7.1%
2 136
 
7.1%
4 99
 
5.2%
3 88
 
4.6%
5 77
 
4.0%
8 59
 
3.1%
6 58
 
3.0%
0 54
 
2.8%
Other values (5) 109
 
5.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3076
61.7%
ASCII 1907
38.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
921
48.3%
1 170
 
8.9%
- 136
 
7.1%
2 136
 
7.1%
4 99
 
5.2%
3 88
 
4.6%
5 77
 
4.0%
8 59
 
3.1%
6 58
 
3.0%
0 54
 
2.8%
Other values (5) 109
 
5.7%
Hangul
ValueCountFrequency (%)
천 281
 
9.1%
안 260
 
8.5%
남 259
 
8.4%
청 245
 
8.0%
도 243
 
7.9%
시 241
 
7.8%
충 237
 
7.7%
성 101
 
3.3%
길 98
 
3.2%
면 96
 
3.1%
Other values (150) 1015
33.0%

운동기구1
Text

Distinct72
Distinct (%)30.4%
Missing0
Missing (%)0.0%
Memory size2.0 KiB
2024-01-10T07:57:31.191555image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length12
Mean length7.7679325
Min length3

Characters and Unicode

Total characters1841
Distinct characters98
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique35 ?
Unique (%)14.8%

Sample

1st row공중걷기
2nd row상체근육풀기+파도타기
3rd row달리기
4th row공중걷기+파도타기
5th row공중걷기+달리기
ValueCountFrequency (%)
공중걷기 32
 
12.8%
허리돌리기 23
 
9.2%
싸이클+허리돌리기 13
 
5.2%
파도타기 12
 
4.8%
허리돌리기+공중걷기 11
 
4.4%
상체근육풀기 9
 
3.6%
공중걷기+허리돌리기 8
 
3.2%
달리기+공중걷기 7
 
2.8%
허리돌리기+등허리지압기 7
 
2.8%
공중걷기+작은활차 6
 
2.4%
Other values (61) 122
48.8%
2024-01-10T07:57:31.482643image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
기 330
17.9%
리 223
 
12.1%
+ 146
 
7.9%
걷 98
 
5.3%
허 92
 
5.0%
공 91
 
4.9%
중 91
 
4.9%
돌 90
 
4.9%
타 33
 
1.8%
파 28
 
1.5%
Other values (88) 619
33.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1681
91.3%
Math Symbol 146
 
7.9%
Space Separator 14
 
0.8%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
기 330
19.6%
리 223
 
13.3%
걷 98
 
5.8%
허 92
 
5.5%
공 91
 
5.4%
중 91
 
5.4%
돌 90
 
5.4%
타 33
 
2.0%
파 28
 
1.7%
도 28
 
1.7%
Other values (86) 577
34.3%
Math Symbol
ValueCountFrequency (%)
+ 146
100.0%
Space Separator
ValueCountFrequency (%)
14
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1681
91.3%
Common 160
 
8.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
기 330
19.6%
리 223
 
13.3%
걷 98
 
5.8%
허 92
 
5.5%
공 91
 
5.4%
중 91
 
5.4%
돌 90
 
5.4%
타 33
 
2.0%
파 28
 
1.7%
도 28
 
1.7%
Other values (86) 577
34.3%
Common
ValueCountFrequency (%)
+ 146
91.2%
14
 
8.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1681
91.3%
ASCII 160
 
8.7%

Most frequent character per block

Hangul
ValueCountFrequency (%)
기 330
19.6%
리 223
 
13.3%
걷 98
 
5.8%
허 92
 
5.5%
공 91
 
5.4%
중 91
 
5.4%
돌 90
 
5.4%
타 33
 
2.0%
파 28
 
1.7%
도 28
 
1.7%
Other values (86) 577
34.3%
ASCII
ValueCountFrequency (%)
+ 146
91.2%
14
 
8.8%

운동기구2
Text

Distinct87
Distinct (%)37.0%
Missing2
Missing (%)0.8%
Memory size2.0 KiB
2024-01-10T07:57:31.692684image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length15
Median length12
Mean length7.7361702
Min length3

Characters and Unicode

Total characters1818
Distinct characters96
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique57 ?
Unique (%)24.3%

Sample

1st row상체근육풀기+파도타기
2nd row허리돌리기
3rd row허리돌리기
4th row허리돌리기
5th row허리돌리기
ValueCountFrequency (%)
허리돌리기 32
 
13.2%
파도타기 27
 
11.1%
공중걷기+어깨근육풀기 12
 
4.9%
파도타기+오금펴기 10
 
4.1%
공중걷기 9
 
3.7%
달리기 9
 
3.7%
자전거+허리돌리기 8
 
3.3%
허리돌리기+어깨유연성운동 7
 
2.9%
공중걷기+노젓기 7
 
2.9%
큰활차+달리기 6
 
2.5%
Other values (75) 116
47.7%
2024-01-10T07:57:32.033224image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
기 312
17.2%
리 198
 
10.9%
+ 133
 
7.3%
허 81
 
4.5%
돌 78
 
4.3%
타 56
 
3.1%
파 53
 
2.9%
도 53
 
2.9%
공 51
 
2.8%
중 51
 
2.8%
Other values (86) 752
41.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1673
92.0%
Math Symbol 133
 
7.3%
Space Separator 12
 
0.7%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
기 312
18.6%
리 198
 
11.8%
허 81
 
4.8%
돌 78
 
4.7%
타 56
 
3.3%
파 53
 
3.2%
도 53
 
3.2%
공 51
 
3.0%
중 51
 
3.0%
걷 51
 
3.0%
Other values (84) 689
41.2%
Math Symbol
ValueCountFrequency (%)
+ 133
100.0%
Space Separator
ValueCountFrequency (%)
12
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1673
92.0%
Common 145
 
8.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
기 312
18.6%
리 198
 
11.8%
허 81
 
4.8%
돌 78
 
4.7%
타 56
 
3.3%
파 53
 
3.2%
도 53
 
3.2%
공 51
 
3.0%
중 51
 
3.0%
걷 51
 
3.0%
Other values (84) 689
41.2%
Common
ValueCountFrequency (%)
+ 133
91.7%
12
 
8.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1673
92.0%
ASCII 145
 
8.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
기 312
18.6%
리 198
 
11.8%
허 81
 
4.8%
돌 78
 
4.7%
타 56
 
3.3%
파 53
 
3.2%
도 53
 
3.2%
공 51
 
3.0%
중 51
 
3.0%
걷 51
 
3.0%
Other values (84) 689
41.2%
ASCII
ValueCountFrequency (%)
+ 133
91.7%
12
 
8.3%

운동기구3
Text

MISSING 

Distinct70
Distinct (%)45.8%
Missing84
Missing (%)35.4%
Memory size2.0 KiB
2024-01-10T07:57:32.216806image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length12
Mean length7.4901961
Min length2

Characters and Unicode

Total characters1146
Distinct characters96
Distinct categories3 ?
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 (%)30.7%

Sample

1st row등허리지압기+허리지압기
2nd row공중걷기
3rd row달리기
4th row어깨근육풀기
5th row허리돌리기
ValueCountFrequency (%)
허리돌리기 23
 
14.3%
달리기 10
 
6.2%
공중걷기 9
 
5.6%
파도타기+오금펴기 7
 
4.3%
허리돌리기+등허리지압기 7
 
4.3%
다리뻗치기+등허리지압기 6
 
3.7%
공중걷기+노젓기 6
 
3.7%
노젓기 6
 
3.7%
윗몸일으키기 5
 
3.1%
상체근육풀기 5
 
3.1%
Other values (53) 77
47.8%
2024-01-10T07:57:32.538842image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
기 200
 
17.5%
리 146
 
12.7%
+ 69
 
6.0%
허 59
 
5.1%
돌 37
 
3.2%
지 28
 
2.4%
풀 22
 
1.9%
등 20
 
1.7%
압 20
 
1.7%
육 20
 
1.7%
Other values (86) 525
45.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1064
92.8%
Math Symbol 69
 
6.0%
Space Separator 13
 
1.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
기 200
18.8%
리 146
 
13.7%
허 59
 
5.5%
돌 37
 
3.5%
지 28
 
2.6%
풀 22
 
2.1%
등 20
 
1.9%
압 20
 
1.9%
육 20
 
1.9%
근 20
 
1.9%
Other values (84) 492
46.2%
Math Symbol
ValueCountFrequency (%)
+ 69
100.0%
Space Separator
ValueCountFrequency (%)
13
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1064
92.8%
Common 82
 
7.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
기 200
18.8%
리 146
 
13.7%
허 59
 
5.5%
돌 37
 
3.5%
지 28
 
2.6%
풀 22
 
2.1%
등 20
 
1.9%
압 20
 
1.9%
육 20
 
1.9%
근 20
 
1.9%
Other values (84) 492
46.2%
Common
ValueCountFrequency (%)
+ 69
84.1%
13
 
15.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1064
92.8%
ASCII 82
 
7.2%

Most frequent character per block

Hangul
ValueCountFrequency (%)
기 200
18.8%
리 146
 
13.7%
허 59
 
5.5%
돌 37
 
3.5%
지 28
 
2.6%
풀 22
 
2.1%
등 20
 
1.9%
압 20
 
1.9%
육 20
 
1.9%
근 20
 
1.9%
Other values (84) 492
46.2%
ASCII
ValueCountFrequency (%)
+ 69
84.1%
13
 
15.9%

운동기구4
Text

MISSING 

Distinct51
Distinct (%)56.0%
Missing146
Missing (%)61.6%
Memory size2.0 KiB
2024-01-10T07:57:32.776264image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length13
Mean length6.5714286
Min length2

Characters and Unicode

Total characters598
Distinct characters82
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique40 ?
Unique (%)44.0%

Sample

1st row허리돌리기
2nd row자전거타기+오금펴기
3rd row작은활차머신
4th row상체근육풀기
5th row공중걷기
ValueCountFrequency (%)
상체근육풀기 16
 
17.2%
어깨근육풀기 7
 
7.5%
역기올리기 6
 
6.5%
윗몸일으키기 5
 
5.4%
달리기 4
 
4.3%
공중걷기 4
 
4.3%
등허리지압기 3
 
3.2%
래그프래스 3
 
3.2%
허리돌리기 3
 
3.2%
다리뻗치기 2
 
2.2%
Other values (38) 40
43.0%
2024-01-10T07:57:33.102471image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
기 112
18.7%
리 49
 
8.2%
근 29
 
4.8%
육 29
 
4.8%
풀 29
 
4.8%
+ 23
 
3.8%
체 19
 
3.2%
상 18
 
3.0%
허 14
 
2.3%
달 12
 
2.0%
Other values (72) 264
44.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 572
95.7%
Math Symbol 23
 
3.8%
Space Separator 3
 
0.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
기 112
19.6%
리 49
 
8.6%
근 29
 
5.1%
육 29
 
5.1%
풀 29
 
5.1%
체 19
 
3.3%
상 18
 
3.1%
허 14
 
2.4%
달 12
 
2.1%
역 11
 
1.9%
Other values (70) 250
43.7%
Math Symbol
ValueCountFrequency (%)
+ 23
100.0%
Space Separator
ValueCountFrequency (%)
3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 572
95.7%
Common 26
 
4.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
기 112
19.6%
리 49
 
8.6%
근 29
 
5.1%
육 29
 
5.1%
풀 29
 
5.1%
체 19
 
3.3%
상 18
 
3.1%
허 14
 
2.4%
달 12
 
2.1%
역 11
 
1.9%
Other values (70) 250
43.7%
Common
ValueCountFrequency (%)
+ 23
88.5%
3
 
11.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 572
95.7%
ASCII 26
 
4.3%

Most frequent character per block

Hangul
ValueCountFrequency (%)
기 112
19.6%
리 49
 
8.6%
근 29
 
5.1%
육 29
 
5.1%
풀 29
 
5.1%
체 19
 
3.3%
상 18
 
3.1%
허 14
 
2.4%
달 12
 
2.1%
역 11
 
1.9%
Other values (70) 250
43.7%
ASCII
ValueCountFrequency (%)
+ 23
88.5%
3
 
11.5%

운동기구5
Text

MISSING 

Distinct39
Distinct (%)62.9%
Missing175
Missing (%)73.8%
Memory size2.0 KiB
2024-01-10T07:57:33.297117image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length15
Median length13
Mean length5.8870968
Min length2

Characters and Unicode

Total characters365
Distinct characters76
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique27 ?
Unique (%)43.5%

Sample

1st row등허리지압기
2nd row자전거타기
3rd row싸이클+오금펴기
4th row역기내리기
5th row백스트레칭
ValueCountFrequency (%)
어깨근육풀기 5
 
7.9%
평행봉 4
 
6.3%
윗몸일으키기 4
 
6.3%
철봉 4
 
6.3%
자전거타기 3
 
4.8%
역기내리기 3
 
4.8%
허리돌리기 3
 
4.8%
달리기 3
 
4.8%
역기올리기 2
 
3.2%
등허리지압기 2
 
3.2%
Other values (28) 30
47.6%
2024-01-10T07:57:33.884080image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
기 72
19.7%
리 30
 
8.2%
풀 14
 
3.8%
근 13
 
3.6%
육 13
 
3.6%
+ 12
 
3.3%
역 12
 
3.3%
봉 10
 
2.7%
몸 8
 
2.2%
내 8
 
2.2%
Other values (66) 173
47.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 351
96.2%
Math Symbol 12
 
3.3%
Space Separator 2
 
0.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
기 72
20.5%
리 30
 
8.5%
풀 14
 
4.0%
근 13
 
3.7%
육 13
 
3.7%
역 12
 
3.4%
봉 10
 
2.8%
몸 8
 
2.3%
내 8
 
2.3%
체 7
 
2.0%
Other values (64) 164
46.7%
Math Symbol
ValueCountFrequency (%)
+ 12
100.0%
Space Separator
ValueCountFrequency (%)
2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 351
96.2%
Common 14
 
3.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
기 72
20.5%
리 30
 
8.5%
풀 14
 
4.0%
근 13
 
3.7%
육 13
 
3.7%
역 12
 
3.4%
봉 10
 
2.8%
몸 8
 
2.3%
내 8
 
2.3%
체 7
 
2.0%
Other values (64) 164
46.7%
Common
ValueCountFrequency (%)
+ 12
85.7%
2
 
14.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 351
96.2%
ASCII 14
 
3.8%

Most frequent character per block

Hangul
ValueCountFrequency (%)
기 72
20.5%
리 30
 
8.5%
풀 14
 
4.0%
근 13
 
3.7%
육 13
 
3.7%
역 12
 
3.4%
봉 10
 
2.8%
몸 8
 
2.3%
내 8
 
2.3%
체 7
 
2.0%
Other values (64) 164
46.7%
ASCII
ValueCountFrequency (%)
+ 12
85.7%
2
 
14.3%

운동기구6
Text

MISSING 

Distinct19
Distinct (%)79.2%
Missing213
Missing (%)89.9%
Memory size2.0 KiB
2024-01-10T07:57:34.057293image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length11
Mean length5.8333333
Min length3

Characters and Unicode

Total characters140
Distinct characters56
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

Unique16 ?
Unique (%)66.7%

Sample

1st row철봉+평행봉
2nd row등허리지압기
3rd row등허리지압기
4th row윗몸일으키기
5th row래그프래스
ValueCountFrequency (%)
윗몸일으키기 3
 
12.5%
등허리지압기 3
 
12.5%
노젓기 2
 
8.3%
싸이클링+달리기 1
 
4.2%
로프당기기+상체근육풀기 1
 
4.2%
평행봉 1
 
4.2%
하늘걷기+마라톤운동 1
 
4.2%
오금펴기 1
 
4.2%
공중걷기 1
 
4.2%
달리기 1
 
4.2%
Other values (9) 9
37.5%
2024-01-10T07:57:34.321809image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
기 24
 
17.1%
리 10
 
7.1%
+ 6
 
4.3%
등 4
 
2.9%
허 4
 
2.9%
윗 3
 
2.1%
거 3
 
2.1%
걷 3
 
2.1%
봉 3
 
2.1%
몸 3
 
2.1%
Other values (46) 77
55.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 134
95.7%
Math Symbol 6
 
4.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
기 24
 
17.9%
리 10
 
7.5%
등 4
 
3.0%
허 4
 
3.0%
윗 3
 
2.2%
거 3
 
2.2%
걷 3
 
2.2%
봉 3
 
2.2%
몸 3
 
2.2%
압 3
 
2.2%
Other values (45) 74
55.2%
Math Symbol
ValueCountFrequency (%)
+ 6
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 134
95.7%
Common 6
 
4.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
기 24
 
17.9%
리 10
 
7.5%
등 4
 
3.0%
허 4
 
3.0%
윗 3
 
2.2%
거 3
 
2.2%
걷 3
 
2.2%
봉 3
 
2.2%
몸 3
 
2.2%
압 3
 
2.2%
Other values (45) 74
55.2%
Common
ValueCountFrequency (%)
+ 6
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 134
95.7%
ASCII 6
 
4.3%

Most frequent character per block

Hangul
ValueCountFrequency (%)
기 24
 
17.9%
리 10
 
7.5%
등 4
 
3.0%
허 4
 
3.0%
윗 3
 
2.2%
거 3
 
2.2%
걷 3
 
2.2%
봉 3
 
2.2%
몸 3
 
2.2%
압 3
 
2.2%
Other values (45) 74
55.2%
ASCII
ValueCountFrequency (%)
+ 6
100.0%

운동기구7
Text

MISSING 

Distinct9
Distinct (%)64.3%
Missing223
Missing (%)94.1%
Memory size2.0 KiB
2024-01-10T07:57:34.462869image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length6
Median length5.5
Mean length4.7857143
Min length2

Characters and Unicode

Total characters67
Distinct characters27
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique5 ?
Unique (%)35.7%

Sample

1st row역기내리기
2nd row윗몸일으키기
3rd row역기내리기
4th row허리돌리기
5th row노젓기
ValueCountFrequency (%)
역기내리기 3
21.4%
허리돌리기 2
14.3%
노젓기 2
14.3%
등허리지압기 2
14.3%
윗몸일으키기 1
 
7.1%
양팔줄당기기 1
 
7.1%
역기올리기 1
 
7.1%
래그프래스 1
 
7.1%
철봉 1
 
7.1%
2024-01-10T07:57:34.734517image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
기 17
25.4%
리 10
14.9%
역 4
 
6.0%
허 4
 
6.0%
내 3
 
4.5%
등 2
 
3.0%
래 2
 
3.0%
압 2
 
3.0%
지 2
 
3.0%
젓 2
 
3.0%
Other values (17) 19
28.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 67
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
기 17
25.4%
리 10
14.9%
역 4
 
6.0%
허 4
 
6.0%
내 3
 
4.5%
등 2
 
3.0%
래 2
 
3.0%
압 2
 
3.0%
지 2
 
3.0%
젓 2
 
3.0%
Other values (17) 19
28.4%

Most occurring scripts

ValueCountFrequency (%)
Hangul 67
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
기 17
25.4%
리 10
14.9%
역 4
 
6.0%
허 4
 
6.0%
내 3
 
4.5%
등 2
 
3.0%
래 2
 
3.0%
압 2
 
3.0%
지 2
 
3.0%
젓 2
 
3.0%
Other values (17) 19
28.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 67
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
기 17
25.4%
리 10
14.9%
역 4
 
6.0%
허 4
 
6.0%
내 3
 
4.5%
등 2
 
3.0%
래 2
 
3.0%
압 2
 
3.0%
지 2
 
3.0%
젓 2
 
3.0%
Other values (17) 19
28.4%

운동기구8
Text

MISSING 

Distinct7
Distinct (%)100.0%
Missing230
Missing (%)97.0%
Memory size2.0 KiB
2024-01-10T07:57:34.889295image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length6
Median length5
Mean length4.4285714
Min length3

Characters and Unicode

Total characters31
Distinct characters24
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique7 ?
Unique (%)100.0%

Sample

1st row계단걷기
2nd row달리기
3rd row공중걷기
4th row등허리지압기
5th row어깨근육풀기
ValueCountFrequency (%)
계단걷기 1
14.3%
달리기 1
14.3%
공중걷기 1
14.3%
등허리지압기 1
14.3%
어깨근육풀기 1
14.3%
평행봉 1
14.3%
온몸노젓기 1
14.3%
2024-01-10T07:57:35.151865image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
기 6
19.4%
걷 2
 
6.5%
리 2
 
6.5%
계 1
 
3.2%
근 1
 
3.2%
노 1
 
3.2%
몸 1
 
3.2%
온 1
 
3.2%
봉 1
 
3.2%
행 1
 
3.2%
Other values (14) 14
45.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 31
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
기 6
19.4%
걷 2
 
6.5%
리 2
 
6.5%
계 1
 
3.2%
근 1
 
3.2%
노 1
 
3.2%
몸 1
 
3.2%
온 1
 
3.2%
봉 1
 
3.2%
행 1
 
3.2%
Other values (14) 14
45.2%

Most occurring scripts

ValueCountFrequency (%)
Hangul 31
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
기 6
19.4%
걷 2
 
6.5%
리 2
 
6.5%
계 1
 
3.2%
근 1
 
3.2%
노 1
 
3.2%
몸 1
 
3.2%
온 1
 
3.2%
봉 1
 
3.2%
행 1
 
3.2%
Other values (14) 14
45.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 31
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
기 6
19.4%
걷 2
 
6.5%
리 2
 
6.5%
계 1
 
3.2%
근 1
 
3.2%
노 1
 
3.2%
몸 1
 
3.2%
온 1
 
3.2%
봉 1
 
3.2%
행 1
 
3.2%
Other values (14) 14
45.2%

운동기구9
Text

MISSING 

Distinct5
Distinct (%)100.0%
Missing232
Missing (%)97.9%
Memory size2.0 KiB
2024-01-10T07:57:35.301247image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length6
Median length6
Mean length5
Min length2

Characters and Unicode

Total characters25
Distinct characters19
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique5 ?
Unique (%)100.0%

Sample

1st row철봉
2nd row윗몸일으키기
3rd row등허리지압기
4th row허리돌리기
5th row상체근육풀기
ValueCountFrequency (%)
철봉 1
20.0%
윗몸일으키기 1
20.0%
등허리지압기 1
20.0%
허리돌리기 1
20.0%
상체근육풀기 1
20.0%
2024-01-10T07:57:35.571527image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
기 4
16.0%
리 3
 
12.0%
허 2
 
8.0%
육 1
 
4.0%
근 1
 
4.0%
체 1
 
4.0%
상 1
 
4.0%
돌 1
 
4.0%
압 1
 
4.0%
지 1
 
4.0%
Other values (9) 9
36.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 25
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
기 4
16.0%
리 3
 
12.0%
허 2
 
8.0%
육 1
 
4.0%
근 1
 
4.0%
체 1
 
4.0%
상 1
 
4.0%
돌 1
 
4.0%
압 1
 
4.0%
지 1
 
4.0%
Other values (9) 9
36.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 25
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
기 4
16.0%
리 3
 
12.0%
허 2
 
8.0%
육 1
 
4.0%
근 1
 
4.0%
체 1
 
4.0%
상 1
 
4.0%
돌 1
 
4.0%
압 1
 
4.0%
지 1
 
4.0%
Other values (9) 9
36.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 25
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
기 4
16.0%
리 3
 
12.0%
허 2
 
8.0%
육 1
 
4.0%
근 1
 
4.0%
체 1
 
4.0%
상 1
 
4.0%
돌 1
 
4.0%
압 1
 
4.0%
지 1
 
4.0%
Other values (9) 9
36.0%

운동기구10
Text

MISSING 

Distinct3
Distinct (%)100.0%
Missing234
Missing (%)98.7%
Memory size2.0 KiB
2024-01-10T07:57:35.700958image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length5
Median length4
Mean length4
Min length3

Characters and Unicode

Total characters12
Distinct characters10
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique3 ?
Unique (%)100.0%

Sample

1st row평행봉
2nd row허리돌리기
3rd row공중걷기
ValueCountFrequency (%)
평행봉 1
33.3%
허리돌리기 1
33.3%
공중걷기 1
33.3%
2024-01-10T07:57:35.950214image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
리 2
16.7%
기 2
16.7%
평 1
8.3%
행 1
8.3%
봉 1
8.3%
허 1
8.3%
돌 1
8.3%
공 1
8.3%
중 1
8.3%
걷 1
8.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 12
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
리 2
16.7%
기 2
16.7%
평 1
8.3%
행 1
8.3%
봉 1
8.3%
허 1
8.3%
돌 1
8.3%
공 1
8.3%
중 1
8.3%
걷 1
8.3%

Most occurring scripts

ValueCountFrequency (%)
Hangul 12
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
리 2
16.7%
기 2
16.7%
평 1
8.3%
행 1
8.3%
봉 1
8.3%
허 1
8.3%
돌 1
8.3%
공 1
8.3%
중 1
8.3%
걷 1
8.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 12
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
리 2
16.7%
기 2
16.7%
평 1
8.3%
행 1
8.3%
봉 1
8.3%
허 1
8.3%
돌 1
8.3%
공 1
8.3%
중 1
8.3%
걷 1
8.3%

운동기구11
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing236
Missing (%)99.6%
Memory size2.0 KiB
2024-01-10T07:57:36.082808image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length6
Median length6
Mean length6
Min length6

Characters and Unicode

Total characters6
Distinct characters6
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)100.0%

Sample

1st row상체근육풀기
ValueCountFrequency (%)
상체근육풀기 1
100.0%
2024-01-10T07:57:36.314655image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
상 1
16.7%
체 1
16.7%
근 1
16.7%
육 1
16.7%
풀 1
16.7%
기 1
16.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 6
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
상 1
16.7%
체 1
16.7%
근 1
16.7%
육 1
16.7%
풀 1
16.7%
기 1
16.7%

Most occurring scripts

ValueCountFrequency (%)
Hangul 6
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
상 1
16.7%
체 1
16.7%
근 1
16.7%
육 1
16.7%
풀 1
16.7%
기 1
16.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 6
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
상 1
16.7%
체 1
16.7%
근 1
16.7%
육 1
16.7%
풀 1
16.7%
기 1
16.7%

운동기구12
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing236
Missing (%)99.6%
Memory size2.0 KiB
2024-01-10T07:57:36.463105image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length11
Median length11
Mean length11
Min length11

Characters and Unicode

Total characters11
Distinct characters6
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

Unique1 ?
Unique (%)100.0%

Sample

1st row역기올리기+역기내리기
ValueCountFrequency (%)
역기올리기+역기내리기 1
100.0%
2024-01-10T07:57:36.689253image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
기 4
36.4%
역 2
18.2%
리 2
18.2%
올 1
 
9.1%
+ 1
 
9.1%
내 1
 
9.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 10
90.9%
Math Symbol 1
 
9.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
기 4
40.0%
역 2
20.0%
리 2
20.0%
올 1
 
10.0%
내 1
 
10.0%
Math Symbol
ValueCountFrequency (%)
+ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 10
90.9%
Common 1
 
9.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
기 4
40.0%
역 2
20.0%
리 2
20.0%
올 1
 
10.0%
내 1
 
10.0%
Common
ValueCountFrequency (%)
+ 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 10
90.9%
ASCII 1
 
9.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
기 4
40.0%
역 2
20.0%
리 2
20.0%
올 1
 
10.0%
내 1
 
10.0%
ASCII
ValueCountFrequency (%)
+ 1
100.0%

관리부서
Categorical

CONSTANT 

Distinct1
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size2.0 KiB
체육진흥과
237 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
체육진흥과 237
100.0%

Length

2024-01-10T07:57:36.806002image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-10T07:57:36.888882image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
체육진흥과 237
100.0%

Correlations

2024-01-10T07:57:36.948027image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
운동기구1운동기구2운동기구3운동기구4운동기구5운동기구6운동기구7운동기구8운동기구9운동기구10
운동기구11.0000.9930.9740.9860.9410.9390.3511.0001.0001.000
운동기구20.9931.0000.9880.9840.9310.8640.7771.0001.0001.000
운동기구30.9740.9881.0000.9790.9350.8990.5991.0001.0001.000
운동기구40.9860.9840.9791.0000.9540.9660.9091.0001.0001.000
운동기구50.9410.9310.9350.9541.0000.9590.3701.0001.0001.000
운동기구60.9390.8640.8990.9660.9591.0000.8241.0001.0001.000
운동기구70.3510.7770.5990.9090.3700.8241.0001.0001.0001.000
운동기구81.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
운동기구91.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
운동기구101.0001.0001.0001.0001.0001.0001.0001.0001.0001.000

Missing values

2024-01-10T07:57:29.876658image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-01-10T07:57:30.052326image/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.
2024-01-10T07:57:30.192040image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

Sample

소재지운동기구1운동기구2운동기구3운동기구4운동기구5운동기구6운동기구7운동기구8운동기구9운동기구10운동기구11운동기구12관리부서
0충청남도 천안시 목천읍 천정3길4공중걷기상체근육풀기+파도타기등허리지압기+허리지압기허리돌리기<NA><NA><NA><NA><NA><NA><NA><NA>체육진흥과
1충청남도 천안시 목천읍 천정2길 46상체근육풀기+파도타기허리돌리기공중걷기자전거타기+오금펴기<NA><NA><NA><NA><NA><NA><NA><NA>체육진흥과
2충청남도 천안시 목천읍 삼성3길 23달리기허리돌리기<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>체육진흥과
3충청남도 천안시 목천읍 삼성1길 7공중걷기+파도타기허리돌리기달리기작은활차머신등허리지압기철봉+평행봉<NA><NA><NA><NA><NA><NA>체육진흥과
4충청남도 천안시 목천읍 교천3길 12-5공중걷기+달리기허리돌리기어깨근육풀기<NA><NA><NA><NA><NA><NA><NA><NA><NA>체육진흥과
5충청남도 천안시 목천읍 동평리 산14-12달리기+큰활차머신공중걷기+허리돌리기<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>체육진흥과
6충청남도 천안시 목천읍 지산리 141-4허리돌리기달리기<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>체육진흥과
7충청남도 천안시 목천읍 동평8길 57싸이클+허리돌리기공중걷기+어깨근육풀기<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>체육진흥과
8충청남도 천안시 목천읍 덕전리 375-1싸이클+허리돌리기공중걷기+어깨근육풀기<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>체육진흥과
9충청남도 천안시 풍세면 상정1길 22공중걷기파도타기허리돌리기상체근육풀기<NA><NA><NA><NA><NA><NA><NA><NA>체육진흥과
소재지운동기구1운동기구2운동기구3운동기구4운동기구5운동기구6운동기구7운동기구8운동기구9운동기구10운동기구11운동기구12관리부서
227충청남도 천안시 구룡동 280-2자전거타기+허리돌리기달리기+공중걷기<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>체육진흥과
228충청남도 천안시 입장면 호당리 235-3자전거+ 허리돌리기공중걷기+ 작은활차<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>체육진흥과
229충청남도 천안시 성정동 679-22공중걷기+파도타기자전거+달리기큰활차허리돌리기<NA><NA><NA><NA><NA><NA><NA><NA>체육진흥과
230충청남도 천안시 불당동 1435거꾸리달리기<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>체육진흥과
231충청남도 천안시 풍세면 석우길 41크로스컨트리+입식트위스트롤링웨이스+워밍암좌시사이클+체어풀<NA><NA><NA><NA><NA><NA><NA><NA><NA>체육진흥과
232충청남도 천안시 풍세면 풍세로 75크로스컨트리+입식트위스트롤링웨이스+워밍암좌시사이클+체어풀<NA><NA><NA><NA><NA><NA><NA><NA><NA>체육진흥과
233충청남도 천안시 목천읍 남화리 283큰활차허리돌리기공중걷기<NA><NA><NA><NA><NA><NA><NA><NA><NA>체육진흥과
234충청남도 천안시 유량동 406-99하늘걷기+허리돌리기상체근육풀기+어깨근육풀기<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>체육진흥과
235충청남도 천안시 봉명동 10-2(장항선 철도하부 체육시설)어깨근육풀기온몸허리돌리기온몸근육풀기다리뻗치기온몸역기내리기+온몸역기올리기마라톤+하늘걷기등허리지압기온몸노젓기<NA><NA><NA><NA>체육진흥과
236충청남도 천안시 봉명동 194-40(천안천변 산책로)큰활차+작은활차 머신공중걷기+파도타기윗몸일으키기자유철봉허리돌리기<NA><NA><NA><NA><NA><NA><NA>체육진흥과