Overview

Dataset statistics

Number of variables7
Number of observations209
Missing cells159
Missing cells (%)10.9%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory12.0 KiB
Average record size in memory58.6 B

Variable types

Numeric2
Text4
Categorical1

Dataset

Description대구광역시 달성군에 운영하고 있는 실외 운동기구 현황 데이터로 설치 장소, 도로명주소, 지번주소, 기구종류, 수량, 설치연도로 구성되어 있습니다.
Author대구광역시 달성군
URLhttps://www.data.go.kr/data/15101452/fileData.do

Alerts

도로명주소 has 145 (69.4%) missing valuesMissing
지번주소 has 13 (6.2%) missing valuesMissing
연번 has unique valuesUnique

Reproduction

Analysis started2023-12-12 18:33:52.482974
Analysis finished2023-12-12 18:33:53.902085
Duration1.42 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

UNIQUE 

Distinct209
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean105
Minimum1
Maximum209
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.0 KiB
2023-12-13T03:33:53.978271image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile11.4
Q153
median105
Q3157
95-th percentile198.6
Maximum209
Range208
Interquartile range (IQR)104

Descriptive statistics

Standard deviation60.477268
Coefficient of variation (CV)0.57597399
Kurtosis-1.2
Mean105
Median Absolute Deviation (MAD)52
Skewness0
Sum21945
Variance3657.5
MonotonicityStrictly increasing
2023-12-13T03:33:54.106564image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.5%
158 1
 
0.5%
134 1
 
0.5%
135 1
 
0.5%
136 1
 
0.5%
137 1
 
0.5%
138 1
 
0.5%
139 1
 
0.5%
140 1
 
0.5%
141 1
 
0.5%
Other values (199) 199
95.2%
ValueCountFrequency (%)
1 1
0.5%
2 1
0.5%
3 1
0.5%
4 1
0.5%
5 1
0.5%
6 1
0.5%
7 1
0.5%
8 1
0.5%
9 1
0.5%
10 1
0.5%
ValueCountFrequency (%)
209 1
0.5%
208 1
0.5%
207 1
0.5%
206 1
0.5%
205 1
0.5%
204 1
0.5%
203 1
0.5%
202 1
0.5%
201 1
0.5%
200 1
0.5%

설치장소
Text

Distinct187
Distinct (%)89.5%
Missing0
Missing (%)0.0%
Memory size1.8 KiB
2023-12-13T03:33:54.449103image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length26
Median length19
Mean length12.794258
Min length3

Characters and Unicode

Total characters2674
Distinct characters187
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

Unique171 ?
Unique (%)81.8%

Sample

1st row천내천 동네체육시설
2nd row화원사암 동네체육시설
3rd row화원사암 동네체육시설
4th row천내족구장
5th row설화리 동네체육시설
ValueCountFrequency (%)
동네체육시설 101
 
17.7%
마을회관 32
 
5.6%
논공 24
 
4.2%
대구 22
 
3.9%
옥포읍 22
 
3.9%
달성군 22
 
3.9%
체육시설 21
 
3.7%
경로당 13
 
2.3%
앞 11
 
1.9%
논공읍 11
 
1.9%
Other values (211) 291
51.1%
2023-12-13T03:33:54.935700image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
375
 
14.0%
리 170
 
6.4%
설 131
 
4.9%
육 130
 
4.9%
체 130
 
4.9%
시 128
 
4.8%
동 122
 
4.6%
네 106
 
4.0%
마 57
 
2.1%
을 54
 
2.0%
Other values (177) 1271
47.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2162
80.9%
Space Separator 375
 
14.0%
Decimal Number 106
 
4.0%
Open Punctuation 15
 
0.6%
Close Punctuation 15
 
0.6%
Other Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
리 170
 
7.9%
설 131
 
6.1%
육 130
 
6.0%
체 130
 
6.0%
시 128
 
5.9%
동 122
 
5.6%
네 106
 
4.9%
마 57
 
2.6%
을 54
 
2.5%
관 49
 
2.3%
Other values (165) 1085
50.2%
Decimal Number
ValueCountFrequency (%)
1 43
40.6%
2 36
34.0%
3 16
 
15.1%
4 3
 
2.8%
7 2
 
1.9%
6 2
 
1.9%
5 2
 
1.9%
9 2
 
1.9%
Space Separator
ValueCountFrequency (%)
375
100.0%
Open Punctuation
ValueCountFrequency (%)
( 15
100.0%
Close Punctuation
ValueCountFrequency (%)
) 15
100.0%
Other Punctuation
ValueCountFrequency (%)
, 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2162
80.9%
Common 512
 
19.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
리 170
 
7.9%
설 131
 
6.1%
육 130
 
6.0%
체 130
 
6.0%
시 128
 
5.9%
동 122
 
5.6%
네 106
 
4.9%
마 57
 
2.6%
을 54
 
2.5%
관 49
 
2.3%
Other values (165) 1085
50.2%
Common
ValueCountFrequency (%)
375
73.2%
1 43
 
8.4%
2 36
 
7.0%
3 16
 
3.1%
( 15
 
2.9%
) 15
 
2.9%
4 3
 
0.6%
7 2
 
0.4%
6 2
 
0.4%
5 2
 
0.4%
Other values (2) 3
 
0.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2162
80.9%
ASCII 512
 
19.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
375
73.2%
1 43
 
8.4%
2 36
 
7.0%
3 16
 
3.1%
( 15
 
2.9%
) 15
 
2.9%
4 3
 
0.6%
7 2
 
0.4%
6 2
 
0.4%
5 2
 
0.4%
Other values (2) 3
 
0.6%
Hangul
ValueCountFrequency (%)
리 170
 
7.9%
설 131
 
6.1%
육 130
 
6.0%
체 130
 
6.0%
시 128
 
5.9%
동 122
 
5.6%
네 106
 
4.9%
마 57
 
2.6%
을 54
 
2.5%
관 49
 
2.3%
Other values (165) 1085
50.2%

도로명주소
Text

MISSING 

Distinct60
Distinct (%)93.8%
Missing145
Missing (%)69.4%
Memory size1.8 KiB
2023-12-13T03:33:55.249252image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length31
Median length26
Mean length22.453125
Min length16

Characters and Unicode

Total characters1437
Distinct characters92
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

Unique56 ?
Unique (%)87.5%

Sample

1st row대구광역시 달성군 논공중앙로22길 12
2nd row대구광역시 달성군 논공읍 노이길408
3rd row대구광역시 달성군 논공읍 위천1길6
4th row대구광역시 달성군 논공읍 비슬로306길1-16
5th row대구광역시 달성군 논공읍 비슬로 350길 58
ValueCountFrequency (%)
대구광역시 64
20.3%
달성군 64
20.3%
하빈면 17
 
5.4%
논공읍 16
 
5.1%
현풍읍 12
 
3.8%
유가읍 8
 
2.5%
다사읍 5
 
1.6%
5 3
 
0.9%
4 3
 
0.9%
12 3
 
0.9%
Other values (105) 121
38.3%
2023-12-13T03:33:55.691300image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
262
18.2%
구 66
 
4.6%
역 66
 
4.6%
달 66
 
4.6%
대 65
 
4.5%
광 64
 
4.5%
시 64
 
4.5%
성 64
 
4.5%
군 64
 
4.5%
길 58
 
4.0%
Other values (82) 598
41.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 955
66.5%
Space Separator 262
 
18.2%
Decimal Number 211
 
14.7%
Dash Punctuation 8
 
0.6%
Other Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 66
 
6.9%
역 66
 
6.9%
달 66
 
6.9%
대 65
 
6.8%
광 64
 
6.7%
시 64
 
6.7%
성 64
 
6.7%
군 64
 
6.7%
길 58
 
6.1%
읍 43
 
4.5%
Other values (69) 335
35.1%
Decimal Number
ValueCountFrequency (%)
1 37
17.5%
2 37
17.5%
3 24
11.4%
4 21
10.0%
5 21
10.0%
0 17
8.1%
8 15
7.1%
6 15
7.1%
9 14
 
6.6%
7 10
 
4.7%
Space Separator
ValueCountFrequency (%)
262
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 8
100.0%
Other Punctuation
ValueCountFrequency (%)
, 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 955
66.5%
Common 482
33.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 66
 
6.9%
역 66
 
6.9%
달 66
 
6.9%
대 65
 
6.8%
광 64
 
6.7%
시 64
 
6.7%
성 64
 
6.7%
군 64
 
6.7%
길 58
 
6.1%
읍 43
 
4.5%
Other values (69) 335
35.1%
Common
ValueCountFrequency (%)
262
54.4%
1 37
 
7.7%
2 37
 
7.7%
3 24
 
5.0%
4 21
 
4.4%
5 21
 
4.4%
0 17
 
3.5%
8 15
 
3.1%
6 15
 
3.1%
9 14
 
2.9%
Other values (3) 19
 
3.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 955
66.5%
ASCII 482
33.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
262
54.4%
1 37
 
7.7%
2 37
 
7.7%
3 24
 
5.0%
4 21
 
4.4%
5 21
 
4.4%
0 17
 
3.5%
8 15
 
3.1%
6 15
 
3.1%
9 14
 
2.9%
Other values (3) 19
 
3.9%
Hangul
ValueCountFrequency (%)
구 66
 
6.9%
역 66
 
6.9%
달 66
 
6.9%
대 65
 
6.8%
광 64
 
6.7%
시 64
 
6.7%
성 64
 
6.7%
군 64
 
6.7%
길 58
 
6.1%
읍 43
 
4.5%
Other values (69) 335
35.1%

지번주소
Text

MISSING 

Distinct176
Distinct (%)89.8%
Missing13
Missing (%)6.2%
Memory size1.8 KiB
2023-12-13T03:33:56.093243image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length40
Median length37
Mean length22.77551
Min length20

Characters and Unicode

Total characters4464
Distinct characters126
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

Unique161 ?
Unique (%)82.1%

Sample

1st row대구광역시 달성군 화원읍 성산리 744-14(천내천변)
2nd row대구광역시 달성군 화원읍 천내리 산2-5
3rd row대구광역시 달성군 화원읍 천내리 산2-5
4th row대구광역시 달성군 화원읍 천내리 55
5th row대구광역시 달성군 화원읍 설화리 744
ValueCountFrequency (%)
대구광역시 196
19.6%
달성군 196
19.6%
하빈면 30
 
3.0%
논공읍 25
 
2.5%
다사읍 23
 
2.3%
유가읍 23
 
2.3%
옥포읍 22
 
2.2%
현풍읍 21
 
2.1%
화원읍 19
 
1.9%
가창면 18
 
1.8%
Other values (259) 426
42.6%
2023-12-13T03:33:56.682190image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
809
18.1%
구 215
 
4.8%
리 209
 
4.7%
대 204
 
4.6%
성 204
 
4.6%
광 196
 
4.4%
역 196
 
4.4%
시 196
 
4.4%
달 196
 
4.4%
군 196
 
4.4%
Other values (116) 1843
41.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2811
63.0%
Space Separator 809
 
18.1%
Decimal Number 717
 
16.1%
Dash Punctuation 111
 
2.5%
Close Punctuation 7
 
0.2%
Open Punctuation 7
 
0.2%
Other Punctuation 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 215
 
7.6%
리 209
 
7.4%
대 204
 
7.3%
성 204
 
7.3%
광 196
 
7.0%
역 196
 
7.0%
시 196
 
7.0%
달 196
 
7.0%
군 196
 
7.0%
읍 133
 
4.7%
Other values (101) 866
30.8%
Decimal Number
ValueCountFrequency (%)
1 145
20.2%
2 80
11.2%
3 75
10.5%
4 72
10.0%
5 71
9.9%
6 64
8.9%
9 58
 
8.1%
0 52
 
7.3%
8 50
 
7.0%
7 50
 
7.0%
Space Separator
ValueCountFrequency (%)
809
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 111
100.0%
Close Punctuation
ValueCountFrequency (%)
) 7
100.0%
Open Punctuation
ValueCountFrequency (%)
( 7
100.0%
Other Punctuation
ValueCountFrequency (%)
, 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2811
63.0%
Common 1653
37.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 215
 
7.6%
리 209
 
7.4%
대 204
 
7.3%
성 204
 
7.3%
광 196
 
7.0%
역 196
 
7.0%
시 196
 
7.0%
달 196
 
7.0%
군 196
 
7.0%
읍 133
 
4.7%
Other values (101) 866
30.8%
Common
ValueCountFrequency (%)
809
48.9%
1 145
 
8.8%
- 111
 
6.7%
2 80
 
4.8%
3 75
 
4.5%
4 72
 
4.4%
5 71
 
4.3%
6 64
 
3.9%
9 58
 
3.5%
0 52
 
3.1%
Other values (5) 116
 
7.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2811
63.0%
ASCII 1653
37.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
809
48.9%
1 145
 
8.8%
- 111
 
6.7%
2 80
 
4.8%
3 75
 
4.5%
4 72
 
4.4%
5 71
 
4.3%
6 64
 
3.9%
9 58
 
3.5%
0 52
 
3.1%
Other values (5) 116
 
7.0%
Hangul
ValueCountFrequency (%)
구 215
 
7.6%
리 209
 
7.4%
대 204
 
7.3%
성 204
 
7.3%
광 196
 
7.0%
역 196
 
7.0%
시 196
 
7.0%
달 196
 
7.0%
군 196
 
7.0%
읍 133
 
4.7%
Other values (101) 866
30.8%

기구종류
Text

Distinct193
Distinct (%)92.8%
Missing1
Missing (%)0.5%
Memory size1.8 KiB
2023-12-13T03:33:56.888427image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length190
Median length65
Mean length30.807692
Min length3

Characters and Unicode

Total characters6408
Distinct characters183
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

Unique182 ?
Unique (%)87.5%

Sample

1st row자전거발전기, 줄당기기발전기, 근율풀기발전기, 파도타기발전기, 윗몸일으키기, 달리기, 상체근육풀기+상체근육풀기, 파도타기+파도타기, 역기올리기+역기올리기, 허리돌리기+허리돌리기, 달리기운동+달리기운동, 공중걷기+공중걷기, 철봉, 평행봉, 윗몸일으키기대, 2단철봉, 허리돌리기, 옆파도타기, 큰활차, 하늘걷기, 역기올리기, 푸시업바, 다리펴기
2nd row큰활차돌리기, 에어서핑머신, 싸이클(입식), 싸이클(좌식), 거꾸로매달리기, 평행봉, 허리돌리기, 4단철봉, 윗몸일으키기대, 평행봉
3rd row달리기, 하늘걷기, 말타기, 작은활차, 앉아밀어주기
4th row족구장
5th row옆파도타기+다리뻗치기, 하늘걷기+허리돌리기, 달리기+큰활차머신,
ValueCountFrequency (%)
허리돌리기 80
 
9.8%
윗몸일으키기 34
 
4.1%
하늘걷기 33
 
4.0%
공중걷기 30
 
3.7%
달리기 25
 
3.0%
온몸근육풀기 21
 
2.6%
하늘걷기+허리돌리기 20
 
2.4%
등허리지압기 20
 
2.4%
옆파도타기 19
 
2.3%
거꾸로매달리기 17
 
2.1%
Other values (231) 521
63.5%
2023-12-13T03:33:57.283555image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
기 843
 
13.2%
715
 
11.2%
, 602
 
9.4%
리 528
 
8.2%
허 187
 
2.9%
+ 185
 
2.9%
돌 145
 
2.3%
걷 126
 
2.0%
몸 103
 
1.6%
하 102
 
1.6%
Other values (173) 2872
44.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 4860
75.8%
Space Separator 715
 
11.2%
Other Punctuation 606
 
9.5%
Math Symbol 185
 
2.9%
Decimal Number 28
 
0.4%
Close Punctuation 6
 
0.1%
Open Punctuation 6
 
0.1%
Uppercase Letter 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
기 843
 
17.3%
리 528
 
10.9%
허 187
 
3.8%
돌 145
 
3.0%
걷 126
 
2.6%
몸 103
 
2.1%
하 102
 
2.1%
달 89
 
1.8%
활 83
 
1.7%
차 80
 
1.6%
Other values (158) 2574
53.0%
Decimal Number
ValueCountFrequency (%)
2 15
53.6%
3 6
 
21.4%
0 3
 
10.7%
4 2
 
7.1%
1 1
 
3.6%
9 1
 
3.6%
Other Punctuation
ValueCountFrequency (%)
, 602
99.3%
. 3
 
0.5%
/ 1
 
0.2%
Uppercase Letter
ValueCountFrequency (%)
E 1
50.0%
A 1
50.0%
Space Separator
ValueCountFrequency (%)
715
100.0%
Math Symbol
ValueCountFrequency (%)
+ 185
100.0%
Close Punctuation
ValueCountFrequency (%)
) 6
100.0%
Open Punctuation
ValueCountFrequency (%)
( 6
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 4860
75.8%
Common 1546
 
24.1%
Latin 2
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
기 843
 
17.3%
리 528
 
10.9%
허 187
 
3.8%
돌 145
 
3.0%
걷 126
 
2.6%
몸 103
 
2.1%
하 102
 
2.1%
달 89
 
1.8%
활 83
 
1.7%
차 80
 
1.6%
Other values (158) 2574
53.0%
Common
ValueCountFrequency (%)
715
46.2%
, 602
38.9%
+ 185
 
12.0%
2 15
 
1.0%
) 6
 
0.4%
( 6
 
0.4%
3 6
 
0.4%
0 3
 
0.2%
. 3
 
0.2%
4 2
 
0.1%
Other values (3) 3
 
0.2%
Latin
ValueCountFrequency (%)
E 1
50.0%
A 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 4860
75.8%
ASCII 1548
 
24.2%

Most frequent character per block

Hangul
ValueCountFrequency (%)
기 843
 
17.3%
리 528
 
10.9%
허 187
 
3.8%
돌 145
 
3.0%
걷 126
 
2.6%
몸 103
 
2.1%
하 102
 
2.1%
달 89
 
1.8%
활 83
 
1.7%
차 80
 
1.6%
Other values (158) 2574
53.0%
ASCII
ValueCountFrequency (%)
715
46.2%
, 602
38.9%
+ 185
 
12.0%
2 15
 
1.0%
) 6
 
0.4%
( 6
 
0.4%
3 6
 
0.4%
0 3
 
0.2%
. 3
 
0.2%
4 2
 
0.1%
Other values (5) 5
 
0.3%

수량
Real number (ℝ)

Distinct14
Distinct (%)6.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.138756
Minimum1
Maximum32
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.0 KiB
2023-12-13T03:33:57.405928image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q35
95-th percentile9
Maximum32
Range31
Interquartile range (IQR)3

Descriptive statistics

Standard deviation3.3476284
Coefficient of variation (CV)0.80884894
Kurtosis26.22447
Mean4.138756
Median Absolute Deviation (MAD)1
Skewness4.1091862
Sum865
Variance11.206616
MonotonicityNot monotonic
2023-12-13T03:33:57.540761image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
3 49
23.4%
2 42
20.1%
4 39
18.7%
5 23
11.0%
1 18
 
8.6%
6 11
 
5.3%
7 9
 
4.3%
8 6
 
2.9%
10 3
 
1.4%
9 3
 
1.4%
Other values (4) 6
 
2.9%
ValueCountFrequency (%)
1 18
 
8.6%
2 42
20.1%
3 49
23.4%
4 39
18.7%
5 23
11.0%
6 11
 
5.3%
7 9
 
4.3%
8 6
 
2.9%
9 3
 
1.4%
10 3
 
1.4%
ValueCountFrequency (%)
32 1
 
0.5%
19 1
 
0.5%
18 2
 
1.0%
12 2
 
1.0%
10 3
 
1.4%
9 3
 
1.4%
8 6
 
2.9%
7 9
 
4.3%
6 11
5.3%
5 23
11.0%

설치연도
Categorical

Distinct27
Distinct (%)12.9%
Missing0
Missing (%)0.0%
Memory size1.8 KiB
2020
31 
2018
26 
<NA>
23 
2011
20 
2021
20 
Other values (22)
89 

Length

Max length4
Median length4
Mean length3.9712919
Min length1

Unique

Unique4 ?
Unique (%)1.9%

Sample

1st row1996
2nd row1996
3rd row2021
4th row1995
5th row2016

Common Values

ValueCountFrequency (%)
2020 31
14.8%
2018 26
12.4%
<NA> 23
11.0%
2011 20
9.6%
2021 20
9.6%
2022 10
 
4.8%
2016 9
 
4.3%
2012 9
 
4.3%
2015 9
 
4.3%
2014 8
 
3.8%
Other values (17) 44
21.1%

Length

2023-12-13T03:33:57.731902image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
2020 31
15.0%
2018 26
12.6%
na 23
11.1%
2011 20
9.7%
2021 20
9.7%
2022 10
 
4.8%
2016 9
 
4.3%
2012 9
 
4.3%
2015 9
 
4.3%
2014 8
 
3.9%
Other values (16) 42
20.3%

Interactions

2023-12-13T03:33:53.356684image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T03:33:53.162053image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T03:33:53.459962image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T03:33:53.242769image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-13T03:33:57.847731image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번도로명주소수량설치연도
연번1.0001.0000.1120.686
도로명주소1.0001.0000.4660.986
수량0.1120.4661.0000.721
설치연도0.6860.9860.7211.000
2023-12-13T03:33:57.962391image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번수량설치연도
연번1.000-0.1250.317
수량-0.1251.0000.401
설치연도0.3170.4011.000

Missing values

2023-12-13T03:33:53.590491image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T03:33:53.712977image/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.
2023-12-13T03:33:53.835348image/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

연번설치장소도로명주소지번주소기구종류수량설치연도
01천내천 동네체육시설<NA>대구광역시 달성군 화원읍 성산리 744-14(천내천변)자전거발전기, 줄당기기발전기, 근율풀기발전기, 파도타기발전기, 윗몸일으키기, 달리기, 상체근육풀기+상체근육풀기, 파도타기+파도타기, 역기올리기+역기올리기, 허리돌리기+허리돌리기, 달리기운동+달리기운동, 공중걷기+공중걷기, 철봉, 평행봉, 윗몸일으키기대, 2단철봉, 허리돌리기, 옆파도타기, 큰활차, 하늘걷기, 역기올리기, 푸시업바, 다리펴기321996
12화원사암 동네체육시설<NA>대구광역시 달성군 화원읍 천내리 산2-5큰활차돌리기, 에어서핑머신, 싸이클(입식), 싸이클(좌식), 거꾸로매달리기, 평행봉, 허리돌리기, 4단철봉, 윗몸일으키기대, 평행봉101996
23화원사암 동네체육시설<NA>대구광역시 달성군 화원읍 천내리 산2-5달리기, 하늘걷기, 말타기, 작은활차, 앉아밀어주기52021
34천내족구장<NA>대구광역시 달성군 화원읍 천내리 55족구장11995
45설화리 동네체육시설<NA>대구광역시 달성군 화원읍 설화리 744옆파도타기+다리뻗치기, 하늘걷기+허리돌리기, 달리기+큰활차머신,42016
56마수지 동네체육시설<NA>대구광역시 달성군 화원읍 명곡리 927옆파도타기+다리뻗치기, 큰활차머신+달리기운동, 역기내리기+역기올리기, 다리뻗치기+등허리지압기, 허리돌리기+하늘걷기, 입식자전거+좌식자전거62022
67명곡리(마수동) 동네체육시설<NA>대구광역시 달성군 화원읍 명곡리 883-2허리돌리기, 달리기, 온몸근육풀기, 체어풀 + 노젓기42012
78화원교 게이트볼장<NA>대구광역시 달성군 화원읍 명곡리 943-1게이트볼장41997
89진천천 동네체육시설<NA>대구광역시 달성군 화원읍 구라리 1630-1(래미안 앞 진천천 변)다리근육풀기, 공중걷기, 윗몸일으키기, 허리돌리기, 평행봉, 온몸근육풀기, 다리로밀기, 하체흔들기, 노젓기, 거꾸로매달리기102012
910진천천 동네체육시설<NA>대구광역시 달성군 화원읍 구라리 1630-1(래미안 앞 진천천 변)농구대22020
연번설치장소도로명주소지번주소기구종류수량설치연도
199200오설리 마을회관 내 동네체육시설<NA>대구광역시 달성군 구지면 오설리 산12, 440허리흔들기, 달리기, 온몸근육풀기, 허리돌리기, 공중걷기52018
200201마을쉼터 동네체육시설<NA>대구광역시 달성군 구지면 가천리 354온몸근육풀기, 허리돌리기, 공중걷기32018
201202마을쉼터 동네체육시설대구광역시 달성군 구지동로8길 18-3대구광역시 달성군 구지면 고봉리 436하체흔들기, 공중걷기, 아래로 당기기32018
202203창3리 마을쉼터 동네체육시설<NA>대구광역시 달성군 구지면 창리 361-1번지하체흔들기+다리로밀기, 허리돌리기+공중걷기42018
203204응암1리 마을회관 내 동네체육시설대구광역시 달성군 응암길 12대구광역시 달성군 구지면 응암리 109번지하체흔들기+다리로밀기, 허리돌리기+공중걷기42018
204205징리 마을쉼터 동네체육시설<NA>대구광역시 달성군 구지면 징리 319-4번지하체흔들기+다리로밀기, 허리돌리기+공중걷기42018
205206평촌2리 마을쉼터 동네체육시설<NA>대구광역시 달성군 구지면 평촌2리 449-2번지옆파도타기+다리뻐치기, 하늘걷기+허리돌리기, 큰활차머신52018
206207오설리 마을회관 주변 동네체육시설<NA>대구광역시 달성군 구지면 오설리 1010다리뻗치기, 입식자전거+좌식자전거22020
207208오설리 마을입구 동네체육시설<NA>대구광역시 달성군 구지면 오설리 633-8큰활차머신, 하늘걷기, 허리돌리기, 달리기42020
208209도동리 동네체육시설<NA>대구광역시 달성군 구지면 도동리 121하늘걷기, 달리기. 역기내리기32020