Overview

Dataset statistics

Number of variables31
Number of observations1425
Missing cells254
Missing cells (%)0.6%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory355.0 KiB
Average record size in memory255.1 B

Variable types

Text5
Categorical17
Boolean3
Numeric6

Dataset

Description대구광역시 관내 도시공원 목록 및 특정 공원 내의 야외운동기구 목록과 기본, 상태, 위치, 제조사, 이미지 정보 파일 제공
Author대구광역시
URLhttps://www.data.go.kr/data/15109659/fileData.do

Alerts

데이터기준일자 has constant value ""Constant
동시사용인원 is highly imbalanced (50.5%)Imbalance
안내판유무 is highly imbalanced (61.0%)Imbalance
운동기구시설상태 is highly imbalanced (72.7%)Imbalance
운동기구수리필요 is highly imbalanced (97.2%)Imbalance
KC인증유무 is highly imbalanced (70.3%)Imbalance
도로명주소 is highly imbalanced (73.6%)Imbalance
제조사주소 has 254 (17.8%) missing valuesMissing
관리번호 has unique valuesUnique
전경사진 has unique valuesUnique
안내판사진 has unique valuesUnique

Reproduction

Analysis started2023-12-11 23:49:12.551599
Analysis finished2023-12-11 23:49:13.121178
Duration0.57 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

관리번호
Text

UNIQUE 

Distinct1425
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size11.3 KiB
2023-12-12T08:49:13.229201image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length21
Median length21
Mean length21
Min length21

Characters and Unicode

Total characters29925
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

Unique1425 ?
Unique (%)100.0%

Sample

1st row27230-00005-02-05-001
2nd row27140-00081-02-05-001
3rd row27260-00076-02-05-001
4th row27290-00179-02-05-001
5th row27260-00076-02-05-002
ValueCountFrequency (%)
27230-00005-02-05-001 1
 
0.1%
27230-00003-02-05-017 1
 
0.1%
27260-00072-02-05-006 1
 
0.1%
27230-00004-02-05-020 1
 
0.1%
27260-00072-02-05-005 1
 
0.1%
27230-00004-02-05-019 1
 
0.1%
27230-00004-02-05-018 1
 
0.1%
27260-00072-02-05-004 1
 
0.1%
27230-00004-02-05-017 1
 
0.1%
27230-00004-02-05-016 1
 
0.1%
Other values (1415) 1415
99.3%
2023-12-12T08:49:13.514897image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 11102
37.1%
- 5700
19.0%
2 4563
15.2%
7 2123
 
7.1%
5 1807
 
6.0%
1 1396
 
4.7%
3 801
 
2.7%
9 763
 
2.5%
4 745
 
2.5%
6 593
 
2.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 24225
81.0%
Dash Punctuation 5700
 
19.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 11102
45.8%
2 4563
18.8%
7 2123
 
8.8%
5 1807
 
7.5%
1 1396
 
5.8%
3 801
 
3.3%
9 763
 
3.1%
4 745
 
3.1%
6 593
 
2.4%
8 332
 
1.4%
Dash Punctuation
ValueCountFrequency (%)
- 5700
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 29925
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 11102
37.1%
- 5700
19.0%
2 4563
15.2%
7 2123
 
7.1%
5 1807
 
6.0%
1 1396
 
4.7%
3 801
 
2.7%
9 763
 
2.5%
4 745
 
2.5%
6 593
 
2.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 29925
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 11102
37.1%
- 5700
19.0%
2 4563
15.2%
7 2123
 
7.1%
5 1807
 
6.0%
1 1396
 
4.7%
3 801
 
2.7%
9 763
 
2.5%
4 745
 
2.5%
6 593
 
2.0%

운동기구명
Categorical

Distinct15
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Memory size11.3 KiB
허리돌리기
209 
팔돌리기
147 
공중걷기
127 
파도타기
117 
달리기
107 
Other values (10)
718 

Length

Max length8
Median length6
Mean length4.7073684
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row거꾸로 매달리기
2nd row팔돌리기
3rd row공중걷기
4th row역기내(올)리기
5th row다리근육풀기

Common Values

ValueCountFrequency (%)
허리돌리기 209
14.7%
팔돌리기 147
10.3%
공중걷기 127
8.9%
파도타기 117
8.2%
달리기 107
7.5%
역기내(올)리기 97
 
6.8%
복합운동기구 95
 
6.7%
등허리지압 93
 
6.5%
윗몸일으키기 92
 
6.5%
기타 80
 
5.6%
Other values (5) 261
18.3%

Length

2023-12-12T08:49:13.632878image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
허리돌리기 209
14.1%
팔돌리기 147
9.9%
공중걷기 127
 
8.6%
파도타기 117
 
7.9%
달리기 107
 
7.2%
역기내(올)리기 97
 
6.5%
복합운동기구 95
 
6.4%
등허리지압 93
 
6.3%
윗몸일으키기 92
 
6.2%
기타 80
 
5.4%
Other values (6) 319
21.5%

동시사용인원
Categorical

IMBALANCE 

Distinct3
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size11.3 KiB
2
1192 
1
166 
3
 
67

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1
2nd row2
3rd row2
4th row2
5th row2

Common Values

ValueCountFrequency (%)
2 1192
83.6%
1 166
 
11.6%
3 67
 
4.7%

Length

2023-12-12T08:49:13.739174image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T08:49:13.836564image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2 1192
83.6%
1 166
 
11.6%
3 67
 
4.7%
Distinct30
Distinct (%)2.1%
Missing0
Missing (%)0.0%
Memory size11.3 KiB
2010-05-01
251 
2021-11-22
178 
2021-06-30
160 
2020-07-01
130 
2019-12-30
84 
Other values (25)
622 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2010-05-01
2nd row2018-09-10
3rd row2010-05-01
4th row2021-11-22
5th row2010-05-01

Common Values

ValueCountFrequency (%)
2010-05-01 251
17.6%
2021-11-22 178
12.5%
2021-06-30 160
11.2%
2020-07-01 130
 
9.1%
2019-12-30 84
 
5.9%
2021-09-21 78
 
5.5%
2020-12-10 67
 
4.7%
2020-03-20 50
 
3.5%
2016-12-20 33
 
2.3%
2015-07-30 32
 
2.2%
Other values (20) 362
25.4%

Length

2023-12-12T08:49:13.936821image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
2010-05-01 251
17.6%
2021-11-22 178
12.5%
2021-06-30 160
11.2%
2020-07-01 130
 
9.1%
2019-12-30 84
 
5.9%
2021-09-21 78
 
5.5%
2020-12-10 67
 
4.7%
2020-03-20 50
 
3.5%
2016-12-20 33
 
2.3%
2015-07-30 32
 
2.2%
Other values (20) 362
25.4%
Distinct47
Distinct (%)3.3%
Missing0
Missing (%)0.0%
Memory size11.3 KiB
27200-00029
160 
27260-00072
 
91
27290-00179
 
87
27140-00040
 
78
27260-00073
 
67
Other values (42)
942 

Length

Max length11
Median length11
Mean length11
Min length11

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row27230-00005
2nd row27140-00081
3rd row27260-00076
4th row27290-00179
5th row27260-00076

Common Values

ValueCountFrequency (%)
27200-00029 160
 
11.2%
27260-00072 91
 
6.4%
27290-00179 87
 
6.1%
27140-00040 78
 
5.5%
27260-00073 67
 
4.7%
27230-00002 67
 
4.7%
27290-00035 60
 
4.2%
27230-00001 50
 
3.5%
27140-00089 50
 
3.5%
27260-00074 34
 
2.4%
Other values (37) 681
47.8%

Length

2023-12-12T08:49:14.043967image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
27200-00029 160
 
11.2%
27260-00072 91
 
6.4%
27290-00179 87
 
6.1%
27140-00040 78
 
5.5%
27260-00073 67
 
4.7%
27230-00002 67
 
4.7%
27290-00035 60
 
4.2%
27230-00001 50
 
3.5%
27140-00089 50
 
3.5%
27260-00074 34
 
2.4%
Other values (37) 681
47.8%

공원명
Categorical

Distinct47
Distinct (%)3.3%
Missing0
Missing (%)0.0%
Memory size11.3 KiB
앞산공원
160 
범어공원
 
91
두류공원
 
87
대구선동촌공원
 
78
야시골공원
 
67
Other values (42)
942 

Length

Max length11
Median length4
Mean length4.714386
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row관음공원
2nd row기상대기념공원
3rd row지산공원
4th row두류공원
5th row지산공원

Common Values

ValueCountFrequency (%)
앞산공원 160
 
11.2%
범어공원 91
 
6.4%
두류공원 87
 
6.1%
대구선동촌공원 78
 
5.5%
야시골공원 67
 
4.7%
연암공원 67
 
4.7%
학산공원 60
 
4.2%
침산공원 50
 
3.5%
봉무공원 50
 
3.5%
화랑공원 34
 
2.4%
Other values (37) 681
47.8%

Length

2023-12-12T08:49:14.201220image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
앞산공원 160
 
11.2%
범어공원 91
 
6.4%
두류공원 87
 
6.1%
대구선동촌공원 78
 
5.5%
야시골공원 67
 
4.7%
연암공원 67
 
4.7%
학산공원 60
 
4.2%
침산공원 50
 
3.5%
봉무공원 50
 
3.5%
화랑공원 34
 
2.4%
Other values (37) 681
47.8%
Distinct11
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size11.3 KiB
053-662-2863
276 
053-666-2865
274 
053-665-2864
235 
053-667-3631
177 
053-803-7430
160 
Other values (6)
303 

Length

Max length12
Median length12
Mean length12
Min length12

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row053-665-2864
2nd row053-662-2863
3rd row053-666-2865
4th row053-803-7480
5th row053-666-2865

Common Values

ValueCountFrequency (%)
053-662-2863 276
19.4%
053-666-2865 274
19.2%
053-665-2864 235
16.5%
053-667-3631 177
12.4%
053-803-7430 160
11.2%
053-668-2850 94
 
6.6%
053-803-7480 87
 
6.1%
053-663-2866 82
 
5.8%
053-664-2782 25
 
1.8%
053-803-5452 10
 
0.7%

Length

2023-12-12T08:49:14.356663image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
053-662-2863 276
19.4%
053-666-2865 274
19.2%
053-665-2864 235
16.5%
053-667-3631 177
12.4%
053-803-7430 160
11.2%
053-668-2850 94
 
6.6%
053-803-7480 87
 
6.1%
053-663-2866 82
 
5.8%
053-664-2782 25
 
1.8%
053-803-5452 10
 
0.7%

관리기관명
Categorical

Distinct11
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size11.3 KiB
대구광역시 동구청
276 
대구광역시 수성구청
274 
대구광역시 북구청
235 
대구광역시 달서구청
177 
대구광역시 앞산공원관리사무소
160 
Other values (6)
303 

Length

Max length15
Median length10
Mean length10.464561
Min length9

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row대구광역시 북구청
2nd row대구광역시 동구청
3rd row대구광역시 수성구청
4th row대구광역시 두류공원관리사무소
5th row대구광역시 수성구청

Common Values

ValueCountFrequency (%)
대구광역시 동구청 276
19.4%
대구광역시 수성구청 274
19.2%
대구광역시 북구청 235
16.5%
대구광역시 달서구청 177
12.4%
대구광역시 앞산공원관리사무소 160
11.2%
대구광역시 달성군청 94
 
6.6%
대구광역시 두류공원관리사무소 87
 
6.1%
대구광역시 서구청 82
 
5.8%
대구광역시 남구청 25
 
1.8%
대구광역시 달성공원관리사무소 10
 
0.7%

Length

2023-12-12T08:49:14.485353image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
대구광역시 1425
50.0%
동구청 276
 
9.7%
수성구청 274
 
9.6%
북구청 235
 
8.2%
달서구청 177
 
6.2%
앞산공원관리사무소 160
 
5.6%
달성군청 94
 
3.3%
두류공원관리사무소 87
 
3.1%
서구청 82
 
2.9%
남구청 25
 
0.9%
Other values (2) 15
 
0.5%

데이터기준일자
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size11.3 KiB
2022-12-09
1425 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2022-12-09
2nd row2022-12-09
3rd row2022-12-09
4th row2022-12-09
5th row2022-12-09

Common Values

ValueCountFrequency (%)
2022-12-09 1425
100.0%

Length

2023-12-12T08:49:14.628239image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T08:49:14.720520image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2022-12-09 1425
100.0%

안내판유무
Boolean

IMBALANCE 

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
True
1316 
False
 
109
ValueCountFrequency (%)
True 1316
92.4%
False 109
 
7.6%
2023-12-12T08:49:14.806067image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

운동기구시설상태
Categorical

IMBALANCE 

Distinct3
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size11.3 KiB
보통
1307 
양호
 
113
미흡
 
5

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row보통
2nd row양호
3rd row보통
4th row보통
5th row보통

Common Values

ValueCountFrequency (%)
보통 1307
91.7%
양호 113
 
7.9%
미흡 5
 
0.4%

Length

2023-12-12T08:49:14.928591image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T08:49:15.064207image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
보통 1307
91.7%
양호 113
 
7.9%
미흡 5
 
0.4%
Distinct336
Distinct (%)23.6%
Missing0
Missing (%)0.0%
Memory size11.3 KiB
2023-12-12T08:49:15.270749image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length45
Median length31
Mean length8.6505263
Min length1

Characters and Unicode

Total characters12327
Distinct characters79
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

Unique184 ?
Unique (%)12.9%

Sample

1st row머리,심장,혈액순환
2nd row어깨,상체
3rd row엉덩이,허리,골반,심폐
4th row팔,등
5th row다리
ValueCountFrequency (%)
허리 52
 
3.6%
어깨 52
 
3.6%
허리,복부 50
 
3.5%
하체 49
 
3.4%
심폐,하체,허리 45
 
3.2%
등,허리 39
 
2.7%
허리,하체 37
 
2.6%
심폐,상체,하체,허리,팔,다리 35
 
2.5%
복부,허리 34
 
2.4%
심폐,하체 29
 
2.0%
Other values (326) 1003
70.4%
2023-12-12T08:49:15.646253image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
, 2924
23.7%
1123
 
9.1%
856
 
6.9%
662
 
5.4%
477
 
3.9%
456
 
3.7%
446
 
3.6%
369
 
3.0%
369
 
3.0%
342
 
2.8%
Other values (69) 4303
34.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 9296
75.4%
Other Punctuation 3031
 
24.6%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
1123
 
12.1%
856
 
9.2%
662
 
7.1%
477
 
5.1%
456
 
4.9%
446
 
4.8%
369
 
4.0%
369
 
4.0%
342
 
3.7%
342
 
3.7%
Other values (67) 3854
41.5%
Other Punctuation
ValueCountFrequency (%)
, 2924
96.5%
/ 107
 
3.5%

Most occurring scripts

ValueCountFrequency (%)
Hangul 9296
75.4%
Common 3031
 
24.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
1123
 
12.1%
856
 
9.2%
662
 
7.1%
477
 
5.1%
456
 
4.9%
446
 
4.8%
369
 
4.0%
369
 
4.0%
342
 
3.7%
342
 
3.7%
Other values (67) 3854
41.5%
Common
ValueCountFrequency (%)
, 2924
96.5%
/ 107
 
3.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 9296
75.4%
ASCII 3031
 
24.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
, 2924
96.5%
/ 107
 
3.5%
Hangul
ValueCountFrequency (%)
1123
 
12.1%
856
 
9.2%
662
 
7.1%
477
 
5.1%
456
 
4.9%
446
 
4.8%
369
 
4.0%
369
 
4.0%
342
 
3.7%
342
 
3.7%
Other values (67) 3854
41.5%

운동기구수리필요
Boolean

IMBALANCE 

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
False
1421 
True
 
4
ValueCountFrequency (%)
False 1421
99.7%
True 4
 
0.3%
2023-12-12T08:49:15.754533image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

운동기구너비(W)
Real number (ℝ)

Distinct137
Distinct (%)9.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.85421053
Minimum0.32
Maximum2.08
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size12.7 KiB
2023-12-12T08:49:15.885602image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0.32
5-th percentile0.47
Q10.67
median0.8
Q30.97
95-th percentile1.428
Maximum2.08
Range1.76
Interquartile range (IQR)0.3

Descriptive statistics

Standard deviation0.28376523
Coefficient of variation (CV)0.3321959
Kurtosis1.2213941
Mean0.85421053
Median Absolute Deviation (MAD)0.15
Skewness1.0435621
Sum1217.25
Variance0.080522708
MonotonicityNot monotonic
2023-12-12T08:49:16.093798image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.8 72
 
5.1%
0.77 56
 
3.9%
1.1 47
 
3.3%
0.75 41
 
2.9%
0.76 38
 
2.7%
0.83 37
 
2.6%
0.84 37
 
2.6%
0.82 36
 
2.5%
0.78 34
 
2.4%
0.81 32
 
2.2%
Other values (127) 995
69.8%
ValueCountFrequency (%)
0.32 1
 
0.1%
0.34 1
 
0.1%
0.37 1
 
0.1%
0.39 1
 
0.1%
0.4 5
0.4%
0.41 5
0.4%
0.42 8
0.6%
0.43 8
0.6%
0.44 8
0.6%
0.45 11
0.8%
ValueCountFrequency (%)
2.08 1
0.1%
2.02 1
0.1%
1.94 1
0.1%
1.88 1
0.1%
1.86 2
0.1%
1.84 1
0.1%
1.83 2
0.1%
1.8 2
0.1%
1.77 1
0.1%
1.76 1
0.1%

운동기구길이(L)
Real number (ℝ)

Distinct268
Distinct (%)18.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.7119509
Minimum0.35
Maximum3.95
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size12.7 KiB
2023-12-12T08:49:16.278317image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0.35
5-th percentile0.72
Q11.27
median1.62
Q32.08
95-th percentile2.868
Maximum3.95
Range3.6
Interquartile range (IQR)0.81

Descriptive statistics

Standard deviation0.64120069
Coefficient of variation (CV)0.37454386
Kurtosis0.66178627
Mean1.7119509
Median Absolute Deviation (MAD)0.38
Skewness0.66933658
Sum2439.53
Variance0.41113833
MonotonicityNot monotonic
2023-12-12T08:49:16.494133image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1.56 22
 
1.5%
1.6 19
 
1.3%
1.2 19
 
1.3%
1.3 19
 
1.3%
1.72 18
 
1.3%
1.9 17
 
1.2%
1.48 17
 
1.2%
1.5 16
 
1.1%
1.27 16
 
1.1%
1.8 16
 
1.1%
Other values (258) 1246
87.4%
ValueCountFrequency (%)
0.35 1
 
0.1%
0.4 1
 
0.1%
0.41 1
 
0.1%
0.45 3
 
0.2%
0.46 1
 
0.1%
0.47 3
 
0.2%
0.48 1
 
0.1%
0.49 1
 
0.1%
0.5 4
 
0.3%
0.51 11
0.8%
ValueCountFrequency (%)
3.95 1
 
0.1%
3.93 4
0.3%
3.92 1
 
0.1%
3.91 2
0.1%
3.9 3
0.2%
3.88 1
 
0.1%
3.82 2
0.1%
3.81 2
0.1%
3.63 3
0.2%
3.32 1
 
0.1%

운동기구높이(H)
Real number (ℝ)

Distinct155
Distinct (%)10.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.8448211
Minimum0.5
Maximum2.66
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size12.7 KiB
2023-12-12T08:49:16.731721image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0.5
5-th percentile1.3
Q11.67
median1.93
Q32.05
95-th percentile2.22
Maximum2.66
Range2.16
Interquartile range (IQR)0.38

Descriptive statistics

Standard deviation0.32717314
Coefficient of variation (CV)0.17734681
Kurtosis1.9813953
Mean1.8448211
Median Absolute Deviation (MAD)0.15
Skewness-1.0027954
Sum2628.87
Variance0.10704226
MonotonicityNot monotonic
2023-12-12T08:49:16.891429image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2.05 59
 
4.1%
2.08 53
 
3.7%
1.94 45
 
3.2%
2.02 38
 
2.7%
2.12 37
 
2.6%
1.92 37
 
2.6%
2.0 36
 
2.5%
2.1 34
 
2.4%
1.98 33
 
2.3%
1.93 32
 
2.2%
Other values (145) 1021
71.6%
ValueCountFrequency (%)
0.5 1
 
0.1%
0.52 1
 
0.1%
0.53 2
0.1%
0.54 4
0.3%
0.57 1
 
0.1%
0.58 1
 
0.1%
0.61 1
 
0.1%
0.62 2
0.1%
0.64 3
0.2%
0.69 1
 
0.1%
ValueCountFrequency (%)
2.66 13
0.9%
2.6 2
 
0.1%
2.57 1
 
0.1%
2.54 1
 
0.1%
2.5 4
 
0.3%
2.48 2
 
0.1%
2.46 1
 
0.1%
2.45 2
 
0.1%
2.44 2
 
0.1%
2.42 1
 
0.1%

KC인증유무
Boolean

IMBALANCE 

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
False
1350 
True
 
75
ValueCountFrequency (%)
False 1350
94.7%
True 75
 
5.3%
2023-12-12T08:49:17.037761image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

위치명
Categorical

Distinct47
Distinct (%)3.3%
Missing0
Missing (%)0.0%
Memory size11.3 KiB
앞산공원
160 
범어공원
 
91
두류공원
 
87
대구선동촌공원
 
78
야시골공원
 
67
Other values (42)
942 

Length

Max length11
Median length4
Mean length4.714386
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row관음공원
2nd row기상대기념공원
3rd row지산공원
4th row두류공원
5th row지산공원

Common Values

ValueCountFrequency (%)
앞산공원 160
 
11.2%
범어공원 91
 
6.4%
두류공원 87
 
6.1%
대구선동촌공원 78
 
5.5%
야시골공원 67
 
4.7%
연암공원 67
 
4.7%
학산공원 60
 
4.2%
침산공원 50
 
3.5%
봉무공원 50
 
3.5%
화랑공원 34
 
2.4%
Other values (37) 681
47.8%

Length

2023-12-12T08:49:17.182136image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
앞산공원 160
 
11.2%
범어공원 91
 
6.4%
두류공원 87
 
6.1%
대구선동촌공원 78
 
5.5%
야시골공원 67
 
4.7%
연암공원 67
 
4.7%
학산공원 60
 
4.2%
침산공원 50
 
3.5%
봉무공원 50
 
3.5%
화랑공원 34
 
2.4%
Other values (37) 681
47.8%

설치위치
Real number (ℝ)

Distinct12
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.8168421
Minimum1
Maximum12
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size12.7 KiB
2023-12-12T08:49:17.338661image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q14
median7
Q310
95-th percentile12
Maximum12
Range11
Interquartile range (IQR)6

Descriptive statistics

Standard deviation3.4830242
Coefficient of variation (CV)0.51094395
Kurtosis-1.2901083
Mean6.8168421
Median Absolute Deviation (MAD)3
Skewness-0.024764367
Sum9714
Variance12.131458
MonotonicityNot monotonic
2023-12-12T08:49:17.461274image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
3 193
13.5%
12 183
12.8%
9 173
12.1%
10 138
9.7%
4 120
8.4%
6 113
7.9%
5 103
7.2%
8 88
6.2%
1 84
5.9%
7 83
5.8%
Other values (2) 147
10.3%
ValueCountFrequency (%)
1 84
5.9%
2 73
 
5.1%
3 193
13.5%
4 120
8.4%
5 103
7.2%
6 113
7.9%
7 83
5.8%
8 88
6.2%
9 173
12.1%
10 138
9.7%
ValueCountFrequency (%)
12 183
12.8%
11 74
 
5.2%
10 138
9.7%
9 173
12.1%
8 88
6.2%
7 83
5.8%
6 113
7.9%
5 103
7.2%
4 120
8.4%
3 193
13.5%

위도
Real number (ℝ)

Distinct1363
Distinct (%)95.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean35.857807
Minimum35.645386
Maximum35.942955
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size12.7 KiB
2023-12-12T08:49:17.609787image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum35.645386
5-th percentile35.817952
Q135.833168
median35.860611
Q335.884201
95-th percentile35.932182
Maximum35.942955
Range0.29756902
Interquartile range (IQR)0.05103302

Descriptive statistics

Standard deviation0.047976065
Coefficient of variation (CV)0.0013379531
Kurtosis5.4386064
Mean35.857807
Median Absolute Deviation (MAD)0.025104523
Skewness-1.6545243
Sum51097.376
Variance0.0023017028
MonotonicityNot monotonic
2023-12-12T08:49:17.757747image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
35.9324455261 3
 
0.2%
35.8503875732 3
 
0.2%
35.8450088501 3
 
0.2%
35.851436615 2
 
0.1%
35.839969635 2
 
0.1%
35.872177124 2
 
0.1%
35.9356651306 2
 
0.1%
35.8721809387 2
 
0.1%
35.847743988 2
 
0.1%
35.8254966736 2
 
0.1%
Other values (1353) 1402
98.4%
ValueCountFrequency (%)
35.6453859954 1
0.1%
35.6454079853 1
0.1%
35.6454140764 1
0.1%
35.6454554599 1
0.1%
35.6462654211 1
0.1%
35.6462850662 1
0.1%
35.6462950503 1
0.1%
35.646320877 1
0.1%
35.6465996388 1
0.1%
35.6466029414 1
0.1%
ValueCountFrequency (%)
35.9429550171 2
0.1%
35.9429512024 1
0.1%
35.9429473877 1
0.1%
35.9429283142 2
0.1%
35.942905426 1
0.1%
35.9429016113 1
0.1%
35.9428825378 1
0.1%
35.9428749084 1
0.1%
35.9428596497 1
0.1%
35.9428482056 1
0.1%

경도
Real number (ℝ)

Distinct1225
Distinct (%)86.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean128.59288
Minimum128.42925
Maximum128.75198
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size12.7 KiB
2023-12-12T08:49:17.927153image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum128.42925
5-th percentile128.46436
Q1128.54666
median128.58996
Q3128.63332
95-th percentile128.69612
Maximum128.75198
Range0.32273137
Interquartile range (IQR)0.086654663

Descriptive statistics

Standard deviation0.063415217
Coefficient of variation (CV)0.00049314718
Kurtosis-0.00049936606
Mean128.59288
Median Absolute Deviation (MAD)0.043330328
Skewness-0.081261308
Sum183244.85
Variance0.0040214897
MonotonicityNot monotonic
2023-12-12T08:49:18.354196image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
128.7037811279 7
 
0.5%
128.529586792 6
 
0.4%
128.542388916 6
 
0.4%
128.5458984375 5
 
0.4%
128.5447998047 5
 
0.4%
128.5683746338 5
 
0.4%
128.5683441162 5
 
0.4%
128.7039337158 4
 
0.3%
128.5626068115 4
 
0.3%
128.5860443115 4
 
0.3%
Other values (1215) 1374
96.4%
ValueCountFrequency (%)
128.4292522764 1
0.1%
128.4293219711 1
0.1%
128.4293798459 1
0.1%
128.4301491064 1
0.1%
128.4301945809 1
0.1%
128.4302441898 1
0.1%
128.4302508125 1
0.1%
128.4303912832 1
0.1%
128.4304112429 1
0.1%
128.4304645378 1
0.1%
ValueCountFrequency (%)
128.7519836426 1
0.1%
128.7519683838 2
0.1%
128.751953125 1
0.1%
128.7519226074 1
0.1%
128.7518920898 1
0.1%
128.7517547607 1
0.1%
128.7517242432 1
0.1%
128.7516937256 1
0.1%
128.7516784668 1
0.1%
128.751663208 1
0.1%

도로명주소
Categorical

IMBALANCE 

Distinct11
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size11.3 KiB
<NA>
1253 
대구광역시 수성구 만촌로 151
 
34
대구광역시 북구 구암로 47
 
27
대구광역시 달서구 용산로 205
 
21
대구광역시 달서구 상인로 134-9
 
16
Other values (6)
 
74

Length

Max length24
Median length4
Mean length5.714386
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row대구광역시 북구 구암로 47
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 1253
87.9%
대구광역시 수성구 만촌로 151 34
 
2.4%
대구광역시 북구 구암로 47 27
 
1.9%
대구광역시 달서구 용산로 205 21
 
1.5%
대구광역시 달서구 상인로 134-9 16
 
1.1%
대구광역시 달성군 구지면 국가산단동로 181 16
 
1.1%
대구광역시 달서구 월곡로 410 15
 
1.1%
대구광역시 서구 서대구로3길 43 (내당동) 14
 
1.0%
대구광역시 달서구 계대동문로 77 14
 
1.0%
대구광역시 중구 달성공원로 35 10
 
0.7%

Length

2023-12-12T08:49:18.504018image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
na 1253
63.6%
대구광역시 172
 
8.7%
달서구 66
 
3.3%
수성구 34
 
1.7%
만촌로 34
 
1.7%
151 34
 
1.7%
북구 27
 
1.4%
구암로 27
 
1.4%
47 27
 
1.4%
용산로 21
 
1.1%
Other values (20) 276
 
14.0%

지번주소
Categorical

Distinct47
Distinct (%)3.3%
Missing0
Missing (%)0.0%
Memory size11.3 KiB
대구광역시 남구 대명동 산 227-5
160 
대구광역시 수성구 황금동 산 19
 
91
대구광역시 달서구 성당동 산 198-1
 
87
대구광역시 동구 입석동 893-9
 
78
대구광역시 수성구 범어동 산 25
 
67
Other values (42)
942 

Length

Max length23
Median length21
Mean length18.574035
Min length15

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row대구광역시 북구 관음동 1372
2nd row대구광역시 동구 신암동 716-87
3rd row대구광역시 수성구 지산동 1274
4th row대구광역시 달서구 성당동 산 198-1
5th row대구광역시 수성구 지산동 1274

Common Values

ValueCountFrequency (%)
대구광역시 남구 대명동 산 227-5 160
 
11.2%
대구광역시 수성구 황금동 산 19 91
 
6.4%
대구광역시 달서구 성당동 산 198-1 87
 
6.1%
대구광역시 동구 입석동 893-9 78
 
5.5%
대구광역시 수성구 범어동 산 25 67
 
4.7%
대구광역시 북구 산격동 산 80 67
 
4.7%
대구광역시 달서구 본동 산 58 60
 
4.2%
대구광역시 북구 침산동 1360 50
 
3.5%
대구광역시 동구 봉무동 산 135-2 50
 
3.5%
대구광역시 수성구 만촌동 1417 34
 
2.4%
Other values (37) 681
47.8%

Length

2023-12-12T08:49:18.643858image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
대구광역시 1425
21.9%
725
 
11.1%
동구 276
 
4.2%
수성구 274
 
4.2%
달서구 264
 
4.0%
북구 235
 
3.6%
대명동 185
 
2.8%
남구 185
 
2.8%
227-5 160
 
2.5%
황금동 117
 
1.8%
Other values (91) 2673
41.0%

행정동
Categorical

Distinct40
Distinct (%)2.8%
Missing0
Missing (%)0.0%
Memory size11.3 KiB
대명9동
160 
황금1동
117 
성당동
 
87
동촌동
 
78
범어2동
 
67
Other values (35)
916 

Length

Max length6
Median length4
Mean length3.7459649
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row관음동
2nd row신암1동
3rd row지산2동
4th row성당동
5th row지산2동

Common Values

ValueCountFrequency (%)
대명9동 160
 
11.2%
황금1동 117
 
8.2%
성당동 87
 
6.1%
동촌동 78
 
5.5%
범어2동 67
 
4.7%
산격1동 67
 
4.7%
본동 60
 
4.2%
안심1동 59
 
4.1%
상중이동 54
 
3.8%
불로.봉무동 50
 
3.5%
Other values (30) 626
43.9%

Length

2023-12-12T08:49:18.770611image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
대명9동 160
 
11.2%
황금1동 117
 
8.2%
성당동 87
 
6.1%
동촌동 78
 
5.5%
범어2동 67
 
4.7%
산격1동 67
 
4.7%
본동 60
 
4.2%
안심1동 59
 
4.1%
상중이동 54
 
3.8%
침산1동 50
 
3.5%
Other values (30) 626
43.9%

제조사이름
Categorical

Distinct31
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Memory size11.3 KiB
(주)디자인파크개발
441 
(주)삼형스포메디
183 
(주)케이엘에스
160 
<NA>
124 
(주)오리온햄프로
65 
Other values (26)
452 

Length

Max length24
Median length13
Mean length8.7740351
Min length4

Unique

Unique3 ?
Unique (%)0.2%

Sample

1st row(주)미래파크
2nd row(주)케이엘에스
3rd row(주)디자인파크개발
4th row(주)디자인파크개발
5th row(주)디자인파크개발

Common Values

ValueCountFrequency (%)
(주)디자인파크개발 441
30.9%
(주)삼형스포메디 183
12.8%
(주)케이엘에스 160
 
11.2%
<NA> 124
 
8.7%
(주)오리온햄프로 65
 
4.6%
(주)미래파크 60
 
4.2%
JOYINZone조인존 52
 
3.6%
(주)H&S스포메딕 32
 
2.2%
나우스포츠메디칼 31
 
2.2%
(주)그린나래 30
 
2.1%
Other values (21) 247
17.3%

Length

2023-12-12T08:49:18.898697image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
주)디자인파크개발 445
31.2%
주)삼형스포메디 183
12.8%
주)케이엘에스 160
 
11.2%
na 124
 
8.7%
주)오리온햄프로 65
 
4.6%
주)미래파크 60
 
4.2%
joyinzone조인존 52
 
3.6%
주)h&s스포메딕 32
 
2.2%
나우스포츠메디칼 31
 
2.2%
주)그린나래 30
 
2.1%
Other values (20) 243
17.1%

제조사주소
Text

MISSING 

Distinct61
Distinct (%)5.2%
Missing254
Missing (%)17.8%
Memory size11.3 KiB
2023-12-12T08:49:19.158879image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length45
Median length36
Mean length26.787361
Min length15

Characters and Unicode

Total characters31368
Distinct characters135
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

Unique14 ?
Unique (%)1.2%

Sample

1st row대구광역시 북구 검단동로11(검단동)
2nd row경기도 시흥시 정왕동 1371-2(시화공단 3마 103호)
3rd row서울특별시 강서구 공항동 11-10 (주)케이티공항지점2층
4th row서울시 강서구 마곡서로 133 (마곡엠밸리) 713동 404호 (주)디자인파크개발
5th row서울특별시 강서구 공항동 11-10 (주)케이티공항지점2층
ValueCountFrequency (%)
강서구 389
 
6.2%
서울특별시 317
 
5.1%
공항동 268
 
4.3%
11-10 268
 
4.3%
경기도 256
 
4.1%
서울시 212
 
3.4%
경산시 209
 
3.4%
압량면 209
 
3.4%
경상북도 193
 
3.1%
주)케이티공항사옥2층 163
 
2.6%
Other values (160) 3747
60.1%
2023-12-12T08:49:19.546909image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5061
 
16.1%
1 1831
 
5.8%
1465
 
4.7%
1047
 
3.3%
2 927
 
3.0%
3 923
 
2.9%
858
 
2.7%
827
 
2.6%
806
 
2.6%
0 723
 
2.3%
Other values (125) 16900
53.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 18210
58.1%
Decimal Number 5900
 
18.8%
Space Separator 5061
 
16.1%
Close Punctuation 668
 
2.1%
Open Punctuation 668
 
2.1%
Dash Punctuation 591
 
1.9%
Other Punctuation 160
 
0.5%
Uppercase Letter 110
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
1465
 
8.0%
1047
 
5.7%
858
 
4.7%
827
 
4.5%
806
 
4.4%
708
 
3.9%
552
 
3.0%
551
 
3.0%
460
 
2.5%
421
 
2.3%
Other values (107) 10515
57.7%
Decimal Number
ValueCountFrequency (%)
1 1831
31.0%
2 927
15.7%
3 923
15.6%
0 723
 
12.3%
4 487
 
8.3%
6 324
 
5.5%
7 286
 
4.8%
9 150
 
2.5%
8 139
 
2.4%
5 110
 
1.9%
Uppercase Letter
ValueCountFrequency (%)
T 39
35.5%
K 39
35.5%
F 32
29.1%
Space Separator
ValueCountFrequency (%)
5061
100.0%
Close Punctuation
ValueCountFrequency (%)
) 668
100.0%
Open Punctuation
ValueCountFrequency (%)
( 668
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 591
100.0%
Other Punctuation
ValueCountFrequency (%)
, 160
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 18210
58.1%
Common 13048
41.6%
Latin 110
 
0.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
1465
 
8.0%
1047
 
5.7%
858
 
4.7%
827
 
4.5%
806
 
4.4%
708
 
3.9%
552
 
3.0%
551
 
3.0%
460
 
2.5%
421
 
2.3%
Other values (107) 10515
57.7%
Common
ValueCountFrequency (%)
5061
38.8%
1 1831
 
14.0%
2 927
 
7.1%
3 923
 
7.1%
0 723
 
5.5%
) 668
 
5.1%
( 668
 
5.1%
- 591
 
4.5%
4 487
 
3.7%
6 324
 
2.5%
Other values (5) 845
 
6.5%
Latin
ValueCountFrequency (%)
T 39
35.5%
K 39
35.5%
F 32
29.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 18210
58.1%
ASCII 13158
41.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5061
38.5%
1 1831
 
13.9%
2 927
 
7.0%
3 923
 
7.0%
0 723
 
5.5%
) 668
 
5.1%
( 668
 
5.1%
- 591
 
4.5%
4 487
 
3.7%
6 324
 
2.5%
Other values (8) 955
 
7.3%
Hangul
ValueCountFrequency (%)
1465
 
8.0%
1047
 
5.7%
858
 
4.7%
827
 
4.5%
806
 
4.4%
708
 
3.9%
552
 
3.0%
551
 
3.0%
460
 
2.5%
421
 
2.3%
Other values (107) 10515
57.7%
Distinct39
Distinct (%)2.7%
Missing0
Missing (%)0.0%
Memory size11.3 KiB
02-2665-6006
316 
<NA>
180 
053-963-7072
175 
02-2678-2673
131 
080-386-8272
63 
Other values (34)
560 

Length

Max length13
Median length12
Mean length10.712281
Min length4

Unique

Unique7 ?
Unique (%)0.5%

Sample

1st row053-218-7775
2nd row02-2678-2673
3rd row02-2665-6006
4th row02-2665-6006
5th row02-2665-6006

Common Values

ValueCountFrequency (%)
02-2665-6006 316
22.2%
<NA> 180
12.6%
053-963-7072 175
12.3%
02-2678-2673 131
9.2%
080-386-8272 63
 
4.4%
053-218-7775 60
 
4.2%
080-205-6006 57
 
4.0%
053-817-4451 53
 
3.7%
02-889-8787 52
 
3.6%
02-706-9775 34
 
2.4%
Other values (29) 304
21.3%

Length

2023-12-12T08:49:19.673109image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
02-2665-6006 324
22.7%
na 180
12.6%
053-963-7072 178
12.5%
02-2678-2673 131
9.2%
080-386-8272 63
 
4.4%
053-218-7775 60
 
4.2%
080-205-6006 58
 
4.1%
053-817-4451 53
 
3.7%
02-889-8787 52
 
3.6%
02-706-9775 34
 
2.4%
Other values (25) 292
20.5%
Distinct20
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Memory size11.3 KiB
<NA>
672 
02-706-9773
264 
053-963-7073
166 
053-218-7774
 
59
053-813-4452
 
53
Other values (15)
211 

Length

Max length13
Median length12
Mean length8.0091228
Min length4

Unique

Unique3 ?
Unique (%)0.2%

Sample

1st row053-218-7774
2nd row<NA>
3rd row02-706-9773
4th row<NA>
5th row02-706-9773

Common Values

ValueCountFrequency (%)
<NA> 672
47.2%
02-706-9773 264
 
18.5%
053-963-7073 166
 
11.6%
053-218-7774 59
 
4.1%
053-813-4452 53
 
3.7%
02-889-8998 52
 
3.6%
053-812-0133 31
 
2.2%
02-2606-3564 28
 
2.0%
02-2648-3763 23
 
1.6%
02-3481-7067 23
 
1.6%
Other values (10) 54
 
3.8%

Length

2023-12-12T08:49:19.781041image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
na 672
47.2%
02-706-9773 276
19.4%
053-963-7073 171
 
12.0%
053-218-7774 60
 
4.2%
053-813-4452 53
 
3.7%
02-889-8998 52
 
3.6%
053-812-0133 31
 
2.2%
02-2606-3564 28
 
2.0%
02-3481-7067 23
 
1.6%
02-2648-3763 23
 
1.6%
Other values (7) 36
 
2.5%
Distinct36
Distinct (%)2.5%
Missing0
Missing (%)0.0%
Memory size11.3 KiB
<NA>
301 
www.dp566.com
223 
www.designpark.or.kr
177 
www.samhyung.co.kr
171 
www.ehampro.co.kr
63 
Other values (31)
490 

Length

Max length27
Median length23
Mean length14.026667
Min length4

Unique

Unique6 ?
Unique (%)0.4%

Sample

1st row<NA>
2nd row<NA>
3rd rowwww.dp566.com
4th rowwww.designpark.or.kr
5th rowwww.dp566.com

Common Values

ValueCountFrequency (%)
<NA> 301
21.1%
www.dp566.com 223
15.6%
www.designpark.or.kr 177
12.4%
www.samhyung.co.kr 171
12.0%
www.ehampro.co.kr 63
 
4.4%
www.kls.or.kr 62
 
4.4%
www.joyinzone.co.kr 52
 
3.6%
Http://www.kls.or.kr 51
 
3.6%
www.kls.kr 35
 
2.5%
www.nowsports.co.kr 31
 
2.2%
Other values (26) 259
18.2%

Length

2023-12-12T08:49:19.894114image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
na 301
21.1%
www.dp566.com 233
16.4%
www.designpark.or.kr 183
12.8%
www.samhyung.co.kr 178
12.5%
www.ehampro.co.kr 63
 
4.4%
www.kls.or.kr 63
 
4.4%
http://www.kls.or.kr 53
 
3.7%
www.joyinzone.co.kr 52
 
3.6%
www.kls.kr 35
 
2.5%
www.nowsports.co.kr 31
 
2.2%
Other values (21) 233
16.4%

전경사진
Text

UNIQUE 

Distinct1425
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size11.3 KiB
2023-12-12T08:49:20.073831image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length28
Median length28
Mean length28
Min length28

Characters and Unicode

Total characters39900
Distinct characters15
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1425 ?
Unique (%)100.0%

Sample

1st row27230-00005-02-05-001-01.jpg
2nd row27140-00081-02-05-001-01.jpg
3rd row27260-00076-02-05-001-01.jpg
4th row27290-00179-02-05-001-01.jpg
5th row27260-00076-02-05-002-01.jpg
ValueCountFrequency (%)
27230-00005-02-05-001-01.jpg 1
 
0.1%
27230-00003-02-05-017-01.jpg 1
 
0.1%
27260-00072-02-05-006-01.jpg 1
 
0.1%
27230-00004-02-05-020-01.jpg 1
 
0.1%
27260-00072-02-05-005-01.jpg 1
 
0.1%
27230-00004-02-05-019-01.jpg 1
 
0.1%
27230-00004-02-05-018-01.jpg 1
 
0.1%
27260-00072-02-05-004-01.jpg 1
 
0.1%
27230-00004-02-05-017-01.jpg 1
 
0.1%
27230-00004-02-05-016-01.jpg 1
 
0.1%
Other values (1415) 1415
99.3%
2023-12-12T08:49:20.413104image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 12527
31.4%
- 7125
17.9%
2 4563
 
11.4%
1 2821
 
7.1%
7 2123
 
5.3%
5 1807
 
4.5%
. 1425
 
3.6%
j 1425
 
3.6%
p 1425
 
3.6%
g 1425
 
3.6%
Other values (5) 3234
 
8.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 27075
67.9%
Dash Punctuation 7125
 
17.9%
Lowercase Letter 4275
 
10.7%
Other Punctuation 1425
 
3.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 12527
46.3%
2 4563
 
16.9%
1 2821
 
10.4%
7 2123
 
7.8%
5 1807
 
6.7%
3 801
 
3.0%
9 763
 
2.8%
4 745
 
2.8%
6 593
 
2.2%
8 332
 
1.2%
Lowercase Letter
ValueCountFrequency (%)
j 1425
33.3%
p 1425
33.3%
g 1425
33.3%
Dash Punctuation
ValueCountFrequency (%)
- 7125
100.0%
Other Punctuation
ValueCountFrequency (%)
. 1425
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 35625
89.3%
Latin 4275
 
10.7%

Most frequent character per script

Common
ValueCountFrequency (%)
0 12527
35.2%
- 7125
20.0%
2 4563
 
12.8%
1 2821
 
7.9%
7 2123
 
6.0%
5 1807
 
5.1%
. 1425
 
4.0%
3 801
 
2.2%
9 763
 
2.1%
4 745
 
2.1%
Other values (2) 925
 
2.6%
Latin
ValueCountFrequency (%)
j 1425
33.3%
p 1425
33.3%
g 1425
33.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 39900
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 12527
31.4%
- 7125
17.9%
2 4563
 
11.4%
1 2821
 
7.1%
7 2123
 
5.3%
5 1807
 
4.5%
. 1425
 
3.6%
j 1425
 
3.6%
p 1425
 
3.6%
g 1425
 
3.6%
Other values (5) 3234
 
8.1%

안내판사진
Text

UNIQUE 

Distinct1425
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size11.3 KiB
2023-12-12T08:49:20.758348image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length28
Median length28
Mean length28
Min length28

Characters and Unicode

Total characters39900
Distinct characters15
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1425 ?
Unique (%)100.0%

Sample

1st row27230-00005-02-05-001-02.jpg
2nd row27140-00081-02-05-001-02.jpg
3rd row27260-00076-02-05-001-02.jpg
4th row27290-00179-02-05-001-02.jpg
5th row27260-00076-02-05-002-02.jpg
ValueCountFrequency (%)
27230-00005-02-05-001-02.jpg 1
 
0.1%
27230-00003-02-05-017-02.jpg 1
 
0.1%
27260-00072-02-05-006-02.jpg 1
 
0.1%
27230-00004-02-05-020-02.jpg 1
 
0.1%
27260-00072-02-05-005-02.jpg 1
 
0.1%
27230-00004-02-05-019-02.jpg 1
 
0.1%
27230-00004-02-05-018-02.jpg 1
 
0.1%
27260-00072-02-05-004-02.jpg 1
 
0.1%
27230-00004-02-05-017-02.jpg 1
 
0.1%
27230-00004-02-05-016-02.jpg 1
 
0.1%
Other values (1415) 1415
99.3%
2023-12-12T08:49:21.154609image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 12527
31.4%
- 7125
17.9%
2 5988
15.0%
7 2123
 
5.3%
5 1807
 
4.5%
. 1425
 
3.6%
j 1425
 
3.6%
p 1425
 
3.6%
g 1425
 
3.6%
1 1396
 
3.5%
Other values (5) 3234
 
8.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 27075
67.9%
Dash Punctuation 7125
 
17.9%
Lowercase Letter 4275
 
10.7%
Other Punctuation 1425
 
3.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 12527
46.3%
2 5988
22.1%
7 2123
 
7.8%
5 1807
 
6.7%
1 1396
 
5.2%
3 801
 
3.0%
9 763
 
2.8%
4 745
 
2.8%
6 593
 
2.2%
8 332
 
1.2%
Lowercase Letter
ValueCountFrequency (%)
j 1425
33.3%
p 1425
33.3%
g 1425
33.3%
Dash Punctuation
ValueCountFrequency (%)
- 7125
100.0%
Other Punctuation
ValueCountFrequency (%)
. 1425
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 35625
89.3%
Latin 4275
 
10.7%

Most frequent character per script

Common
ValueCountFrequency (%)
0 12527
35.2%
- 7125
20.0%
2 5988
16.8%
7 2123
 
6.0%
5 1807
 
5.1%
. 1425
 
4.0%
1 1396
 
3.9%
3 801
 
2.2%
9 763
 
2.1%
4 745
 
2.1%
Other values (2) 925
 
2.6%
Latin
ValueCountFrequency (%)
j 1425
33.3%
p 1425
33.3%
g 1425
33.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 39900
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 12527
31.4%
- 7125
17.9%
2 5988
15.0%
7 2123
 
5.3%
5 1807
 
4.5%
. 1425
 
3.6%
j 1425
 
3.6%
p 1425
 
3.6%
g 1425
 
3.6%
1 1396
 
3.5%
Other values (5) 3234
 
8.1%

Sample

관리번호운동기구명동시사용인원운동기구설치일공원관리번호공원명관리기관전화번호관리기관명데이터기준일자안내판유무운동기구시설상태운동기구특성운동기구수리필요운동기구너비(W)운동기구길이(L)운동기구높이(H)KC인증유무위치명설치위치위도경도도로명주소지번주소행정동제조사이름제조사주소제조사전화번호제조사팩스번호제조사홈페이지전경사진안내판사진
027230-00005-02-05-001거꾸로 매달리기12010-05-0127230-00005관음공원053-665-2864대구광역시 북구청2022-12-09Y보통머리,심장,혈액순환N0.741.141.64N관음공원1135.935318128.545898대구광역시 북구 구암로 47대구광역시 북구 관음동 1372관음동(주)미래파크대구광역시 북구 검단동로11(검단동)053-218-7775053-218-7774<NA>27230-00005-02-05-001-01.jpg27230-00005-02-05-001-02.jpg
127140-00081-02-05-001팔돌리기22018-09-1027140-00081기상대기념공원053-662-2863대구광역시 동구청2022-12-09Y양호어깨,상체N0.950.661.78N기상대기념공원1235.885864128.618546<NA>대구광역시 동구 신암동 716-87신암1동(주)케이엘에스경기도 시흥시 정왕동 1371-2(시화공단 3마 103호)02-2678-2673<NA><NA>27140-00081-02-05-001-01.jpg27140-00081-02-05-001-02.jpg
227260-00076-02-05-001공중걷기22010-05-0127260-00076지산공원053-666-2865대구광역시 수성구청2022-12-09Y보통엉덩이,허리,골반,심폐N0.782.532.07N지산공원835.820919128.63739<NA>대구광역시 수성구 지산동 1274지산2동(주)디자인파크개발서울특별시 강서구 공항동 11-10 (주)케이티공항지점2층02-2665-600602-706-9773www.dp566.com27260-00076-02-05-001-01.jpg27260-00076-02-05-001-02.jpg
327290-00179-02-05-001역기내(올)리기22021-11-2227290-00179두류공원053-803-7480대구광역시 두류공원관리사무소2022-12-09Y보통팔,등N0.762.262.13Y두류공원1235.853355128.557938<NA>대구광역시 달서구 성당동 산 198-1성당동(주)디자인파크개발서울시 강서구 마곡서로 133 (마곡엠밸리) 713동 404호 (주)디자인파크개발02-2665-6006<NA>www.designpark.or.kr27290-00179-02-05-001-01.jpg27290-00179-02-05-001-02.jpg
427260-00076-02-05-002다리근육풀기22010-05-0127260-00076지산공원053-666-2865대구광역시 수성구청2022-12-09Y보통다리N1.021.062.06N지산공원835.820847128.637421<NA>대구광역시 수성구 지산동 1274지산2동(주)디자인파크개발서울특별시 강서구 공항동 11-10 (주)케이티공항지점2층02-2665-600602-706-9773www.dp566.com27260-00076-02-05-002-01.jpg27260-00076-02-05-002-02.jpg
527140-00081-02-05-002역기내(올)리기22018-09-1027140-00081기상대기념공원053-662-2863대구광역시 동구청2022-12-09Y보통어깨,상완근,가슴N0.812.011.6N기상대기념공원1235.885849128.618484<NA>대구광역시 동구 신암동 716-87신암1동(주)케이엘에스경기도 시흥시 경제로 240(시화공단 3마 103호)02-2678-2673<NA>www.kls.kr27140-00081-02-05-002-01.jpg27140-00081-02-05-002-02.jpg
627230-00005-02-05-002노젓기22010-05-0127230-00005관음공원053-665-2864대구광역시 북구청2022-12-09Y보통상체,하체,허리,복부,팔,다리N1.21.592.0N관음공원1135.935375128.545898대구광역시 북구 구암로 47대구광역시 북구 관음동 1372관음동SunParkSports<NA>053-357-3855<NA>www.sunchair.co.kr27230-00005-02-05-002-01.jpg27230-00005-02-05-002-02.jpg
727230-00005-02-05-003팔돌리기22010-05-0127230-00005관음공원053-665-2864대구광역시 북구청2022-12-09Y보통어깨,허리,전신,혈액순환N0.930.971.96N관음공원1135.935429128.545898대구광역시 북구 구암로 47대구광역시 북구 관음동 1372관음동(주)케이엘에스경기도 시흥시 경제로 240(시화공단 3마 103호)02-2678-2673<NA>www.kls.or.kr27230-00005-02-05-003-01.jpg27230-00005-02-05-003-02.jpg
827290-00179-02-05-002윗몸일으키기22021-11-2227290-00179두류공원053-803-7480대구광역시 두류공원관리사무소2022-12-09Y보통복부,옆구리N1.331.262.22N두류공원1235.853416128.557907<NA>대구광역시 달서구 성당동 산 198-1성당동(주)디자인파크개발서울시 강서구 마곡서로 133 (마곡엠밸리) 713동 404호 (주)디자인파크개발02-2665-6006<NA>www.designpark.or.kr27290-00179-02-05-002-01.jpg27290-00179-02-05-002-02.jpg
927260-00076-02-05-003파도타기22010-05-0127260-00076지산공원053-666-2865대구광역시 수성구청2022-12-09Y보통복부,허리N0.841.542.07N지산공원835.820812128.637436<NA>대구광역시 수성구 지산동 1274지산2동(주)디자인파크개발서울특별시 강서구 공항동 11-10 (주)케이티공항지점2층02-2665-600602-706-9773www.dp566.com27260-00076-02-05-003-01.jpg27260-00076-02-05-003-02.jpg
관리번호운동기구명동시사용인원운동기구설치일공원관리번호공원명관리기관전화번호관리기관명데이터기준일자안내판유무운동기구시설상태운동기구특성운동기구수리필요운동기구너비(W)운동기구길이(L)운동기구높이(H)KC인증유무위치명설치위치위도경도도로명주소지번주소행정동제조사이름제조사주소제조사전화번호제조사팩스번호제조사홈페이지전경사진안내판사진
141527230-00002-02-05-065복합운동기구22020-12-1027230-00002연암공원053-665-2864대구광역시 북구청2022-12-09Y보통가슴,어깨,팔/등,어깨,팔N0.742.391.76N연암공원335.900532128.603958<NA>대구광역시 북구 산격동 산 80산격1동(주)오리온햄프로서울특별시 양천구 중앙로 332, 301080-386-8272<NA>www.ehampro.co.kr27230-00002-02-05-065-01.jpg27230-00002-02-05-065-02.jpg
141627230-00002-02-05-066팔돌리기22020-12-1027230-00002연암공원053-665-2864대구광역시 북구청2022-12-09Y보통어깨,팔꿈치,손목N0.940.911.75N연암공원335.900486128.603958<NA>대구광역시 북구 산격동 산 80산격1동(주)오리온햄프로서울특별시 양천구 중앙로 332, 301080-386-8272<NA>www.ehampro.co.kr27230-00002-02-05-066-01.jpg27230-00002-02-05-066-02.jpg
141727230-00002-02-05-067허리돌리기22020-12-1027230-00002연암공원053-665-2864대구광역시 북구청2022-12-09Y보통복근,허리N0.481.711.74N연암공원335.900501128.604004<NA>대구광역시 북구 산격동 산 80산격1동(주)오리온햄프로서울특별시 양천구 중앙로 332, 301080-386-8272<NA>www.ehampro.co.kr27230-00002-02-05-067-01.jpg27230-00002-02-05-067-02.jpg
141827230-00005-02-05-026허리돌리기22010-05-0127230-00005관음공원053-665-2864대구광역시 북구청2022-12-09N보통허리N0.531.641.51N관음공원1235.935677128.54628대구광역시 북구 구암로 47대구광역시 북구 관음동 1372관음동<NA><NA><NA><NA><NA>27230-00005-02-05-026-01.jpg27230-00005-02-05-026-02.jpg
141927230-00005-02-05-027허리돌리기22010-05-0127230-00005관음공원053-665-2864대구광역시 북구청2022-12-09N보통허리N0.531.641.51N관음공원1235.93568128.54631대구광역시 북구 구암로 47대구광역시 북구 관음동 1372관음동<NA><NA><NA><NA><NA>27230-00005-02-05-027-01.jpg27230-00005-02-05-027-02.jpg
142027290-00015-02-05-019공중걷기22020-07-0127290-00015송현공원053-667-3631대구광역시 달서구청2022-12-09Y양호심폐,하체,허리N0.782.522.0N송현공원1035.833065128.556412<NA>대구광역시 달서구 송현동 산 106-21송현1동(주)삼형스포메디경상북도 경산시 압량면 가일길 32길 12053-963-7072053-963-7073www.samhyung.co.kr27290-00015-02-05-019-01.jpg27290-00015-02-05-019-02.jpg
142127290-00015-02-05-020자전거22020-07-0127290-00015송현공원053-667-3631대구광역시 달서구청2022-12-09Y양호하체N0.82.552.0N송현공원1035.833164128.556259<NA>대구광역시 달서구 송현동 산 106-21송현1동(주)삼형스포메디경상북도 경산시 압량면 가일길 32길 12053-963-7072053-963-7073www.samhyung.co.kr27290-00015-02-05-020-01.jpg27290-00015-02-05-020-02.jpg
142227290-00021-02-05-013자전거22014-08-1127290-00021월명공원053-667-3631대구광역시 달서구청2022-12-09Y양호심폐,하체N0.631.92.1Y월명공원635.827993128.529002대구광역시 달서구 월곡로 410대구광역시 달서구 월성동 87월성2동(주)케이엘에스경기도 시흥시 경제로 2401588-4065<NA>www.kls.kr27290-00021-02-05-013-01.jpg27290-00021-02-05-013-02.jpg
142327290-00021-02-05-014복합운동기구22014-08-1127290-00021월명공원053-667-3631대구광역시 달서구청2022-12-09Y양호상체,팔,어깨N0.71.932.1Y월명공원635.827941128.528911대구광역시 달서구 월곡로 410대구광역시 달서구 월성동 87월성2동(주)케이엘에스경기도 시흥시 경제로 2401588-4065<NA>www.kls.kr27290-00021-02-05-014-01.jpg27290-00021-02-05-014-02.jpg
142427290-00021-02-05-015복합운동기구22014-08-1127290-00021월명공원053-667-3631대구광역시 달서구청2022-12-09Y양호심폐,팔,다리/심폐,하체N0.832.82.1Y월명공원635.827918128.528855대구광역시 달서구 월곡로 410대구광역시 달서구 월성동 87월성2동(주)케이엘에스경기도 시흥시 경제로 2401588-4065<NA>www.kls.kr27290-00021-02-05-015-01.jpg27290-00021-02-05-015-02.jpg