Overview

Dataset statistics

Number of variables5
Number of observations111
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory4.7 KiB
Average record size in memory43.2 B

Variable types

Text2
Numeric2
Categorical1

Dataset

Description대구광역시 서구 관내에 설치된 동네 체육시설관련한 데이터로 일련번호,위치, 주소(지번), 체육기구 수, 면적 등 정보를 포함하고 있음.
Author대구광역시 서구
URLhttps://www.data.go.kr/data/15052470/fileData.do

Alerts

체육기구(점) is highly overall correlated with 면 적(제곱미터)High correlation
면 적(제곱미터) is highly overall correlated with 체육기구(점)High correlation

Reproduction

Analysis started2023-12-11 23:50:09.927837
Analysis finished2023-12-11 23:50:10.715624
Duration0.79 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

위치
Text

Distinct109
Distinct (%)98.2%
Missing0
Missing (%)0.0%
Memory size1020.0 B
2023-12-12T08:50:10.992138image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length16
Median length12
Mean length8.6036036
Min length3

Characters and Unicode

Total characters955
Distinct characters151
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

Unique108 ?
Unique (%)97.3%

Sample

1st row감삼못공원
2nd row평리공원
3rd row이현공원 체력단련장
4th row이현공원 서편
5th row가르뱅이공원
ValueCountFrequency (%)
철로변완충녹지 24
 
14.0%
염색공단 6
 
3.5%
어린이놀이터 4
 
2.3%
달서천로 4
 
2.3%
문화원 3
 
1.7%
내 2
 
1.2%
앞 2
 
1.2%
내당2.3동 2
 
1.2%
와룡산 2
 
1.2%
교통섬 2
 
1.2%
Other values (119) 121
70.3%
2023-12-12T08:50:11.556794image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
61
 
6.4%
원 58
 
6.1%
공 51
 
5.3%
지 51
 
5.3%
) 37
 
3.9%
( 37
 
3.9%
로 34
 
3.6%
녹 32
 
3.4%
완 30
 
3.1%
충 30
 
3.1%
Other values (141) 534
55.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 757
79.3%
Space Separator 61
 
6.4%
Decimal Number 59
 
6.2%
Close Punctuation 37
 
3.9%
Open Punctuation 37
 
3.9%
Other Punctuation 4
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
원 58
 
7.7%
공 51
 
6.7%
지 51
 
6.7%
로 34
 
4.5%
녹 32
 
4.2%
완 30
 
4.0%
충 30
 
4.0%
변 28
 
3.7%
편 27
 
3.6%
철 24
 
3.2%
Other values (127) 392
51.8%
Decimal Number
ValueCountFrequency (%)
1 14
23.7%
2 12
20.3%
3 9
15.3%
4 8
13.6%
6 5
 
8.5%
5 4
 
6.8%
7 3
 
5.1%
8 2
 
3.4%
0 1
 
1.7%
9 1
 
1.7%
Space Separator
ValueCountFrequency (%)
61
100.0%
Close Punctuation
ValueCountFrequency (%)
) 37
100.0%
Open Punctuation
ValueCountFrequency (%)
( 37
100.0%
Other Punctuation
ValueCountFrequency (%)
. 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 757
79.3%
Common 198
 
20.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
원 58
 
7.7%
공 51
 
6.7%
지 51
 
6.7%
로 34
 
4.5%
녹 32
 
4.2%
완 30
 
4.0%
충 30
 
4.0%
변 28
 
3.7%
편 27
 
3.6%
철 24
 
3.2%
Other values (127) 392
51.8%
Common
ValueCountFrequency (%)
61
30.8%
) 37
18.7%
( 37
18.7%
1 14
 
7.1%
2 12
 
6.1%
3 9
 
4.5%
4 8
 
4.0%
6 5
 
2.5%
5 4
 
2.0%
. 4
 
2.0%
Other values (4) 7
 
3.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 757
79.3%
ASCII 198
 
20.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
61
30.8%
) 37
18.7%
( 37
18.7%
1 14
 
7.1%
2 12
 
6.1%
3 9
 
4.5%
4 8
 
4.0%
6 5
 
2.5%
5 4
 
2.0%
. 4
 
2.0%
Other values (4) 7
 
3.5%
Hangul
ValueCountFrequency (%)
원 58
 
7.7%
공 51
 
6.7%
지 51
 
6.7%
로 34
 
4.5%
녹 32
 
4.2%
완 30
 
4.0%
충 30
 
4.0%
변 28
 
3.7%
편 27
 
3.6%
철 24
 
3.2%
Other values (127) 392
51.8%

주소
Text

Distinct109
Distinct (%)98.2%
Missing0
Missing (%)0.0%
Memory size1020.0 B
2023-12-12T08:50:12.150743image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length22
Median length21
Mean length18.369369
Min length15

Characters and Unicode

Total characters2039
Distinct characters34
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique107 ?
Unique (%)96.4%

Sample

1st row대구광역시 서구 내당동 463-7
2nd row대구광역시 서구 평리동 1230-1
3rd row대구광역시 서구 이현동 산28-15
4th row대구광역시 서구 이현동 산28-18
5th row대구광역시 서구 상리동 산264-5
ValueCountFrequency (%)
대구광역시 111
25.0%
서구 111
25.0%
비산동 46
10.4%
평리동 21
 
4.7%
중리동 11
 
2.5%
내당동 9
 
2.0%
이현동 8
 
1.8%
상리동 6
 
1.4%
원대동1가 6
 
1.4%
원대동3가 3
 
0.7%
Other values (110) 112
25.2%
2023-12-12T08:50:12.540767image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
333
16.3%
구 222
 
10.9%
대 120
 
5.9%
광 111
 
5.4%
역 111
 
5.4%
시 111
 
5.4%
서 111
 
5.4%
동 110
 
5.4%
1 105
 
5.1%
- 91
 
4.5%
Other values (24) 614
30.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1130
55.4%
Decimal Number 485
23.8%
Space Separator 333
 
16.3%
Dash Punctuation 91
 
4.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 222
19.6%
대 120
10.6%
광 111
9.8%
역 111
9.8%
시 111
9.8%
서 111
9.8%
동 110
9.7%
산 56
 
5.0%
비 46
 
4.1%
리 38
 
3.4%
Other values (12) 94
8.3%
Decimal Number
ValueCountFrequency (%)
1 105
21.6%
2 59
12.2%
0 45
9.3%
8 44
9.1%
3 42
 
8.7%
4 41
 
8.5%
7 41
 
8.5%
5 39
 
8.0%
6 38
 
7.8%
9 31
 
6.4%
Space Separator
ValueCountFrequency (%)
333
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 91
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1130
55.4%
Common 909
44.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 222
19.6%
대 120
10.6%
광 111
9.8%
역 111
9.8%
시 111
9.8%
서 111
9.8%
동 110
9.7%
산 56
 
5.0%
비 46
 
4.1%
리 38
 
3.4%
Other values (12) 94
8.3%
Common
ValueCountFrequency (%)
333
36.6%
1 105
 
11.6%
- 91
 
10.0%
2 59
 
6.5%
0 45
 
5.0%
8 44
 
4.8%
3 42
 
4.6%
4 41
 
4.5%
7 41
 
4.5%
5 39
 
4.3%
Other values (2) 69
 
7.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1130
55.4%
ASCII 909
44.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
333
36.6%
1 105
 
11.6%
- 91
 
10.0%
2 59
 
6.5%
0 45
 
5.0%
8 44
 
4.8%
3 42
 
4.6%
4 41
 
4.5%
7 41
 
4.5%
5 39
 
4.3%
Other values (2) 69
 
7.6%
Hangul
ValueCountFrequency (%)
구 222
19.6%
대 120
10.6%
광 111
9.8%
역 111
9.8%
시 111
9.8%
서 111
9.8%
동 110
9.7%
산 56
 
5.0%
비 46
 
4.1%
리 38
 
3.4%
Other values (12) 94
8.3%

체육기구(점)
Real number (ℝ)

HIGH CORRELATION 

Distinct19
Distinct (%)17.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.3603604
Minimum1
Maximum24
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2023-12-12T08:50:12.666112image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q14
median7
Q39.5
95-th percentile15
Maximum24
Range23
Interquartile range (IQR)5.5

Descriptive statistics

Standard deviation4.1116084
Coefficient of variation (CV)0.55861509
Kurtosis1.8109943
Mean7.3603604
Median Absolute Deviation (MAD)3
Skewness1.0738292
Sum817
Variance16.905324
MonotonicityNot monotonic
2023-12-12T08:50:12.783317image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
6 15
13.5%
4 13
11.7%
9 11
9.9%
7 10
9.0%
5 10
9.0%
3 9
8.1%
10 8
7.2%
8 7
 
6.3%
11 5
 
4.5%
2 4
 
3.6%
Other values (9) 19
17.1%
ValueCountFrequency (%)
1 4
 
3.6%
2 4
 
3.6%
3 9
8.1%
4 13
11.7%
5 10
9.0%
6 15
13.5%
7 10
9.0%
8 7
6.3%
9 11
9.9%
10 8
7.2%
ValueCountFrequency (%)
24 1
 
0.9%
19 1
 
0.9%
17 1
 
0.9%
16 1
 
0.9%
15 3
 
2.7%
14 3
 
2.7%
13 3
 
2.7%
12 2
 
1.8%
11 5
4.5%
10 8
7.2%

면 적(제곱미터)
Real number (ℝ)

HIGH CORRELATION 

Distinct17
Distinct (%)15.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean26.90991
Minimum3
Maximum80
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2023-12-12T08:50:12.885746image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3
5-th percentile5
Q120
median25
Q335
95-th percentile57
Maximum80
Range77
Interquartile range (IQR)15

Descriptive statistics

Standard deviation14.074186
Coefficient of variation (CV)0.52301127
Kurtosis2.2988481
Mean26.90991
Median Absolute Deviation (MAD)5
Skewness1.1591583
Sum2987
Variance198.08272
MonotonicityNot monotonic
2023-12-12T08:50:12.993457image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=17)
ValueCountFrequency (%)
25 21
18.9%
20 18
16.2%
30 17
15.3%
35 16
14.4%
15 12
10.8%
10 6
 
5.4%
5 4
 
3.6%
40 4
 
3.6%
65 2
 
1.8%
4 2
 
1.8%
Other values (7) 9
8.1%
ValueCountFrequency (%)
3 1
 
0.9%
4 2
 
1.8%
5 4
 
3.6%
10 6
 
5.4%
15 12
10.8%
20 18
16.2%
25 21
18.9%
30 17
15.3%
35 16
14.4%
40 4
 
3.6%
ValueCountFrequency (%)
80 1
 
0.9%
66 2
 
1.8%
65 2
 
1.8%
60 1
 
0.9%
54 1
 
0.9%
50 2
 
1.8%
45 1
 
0.9%
40 4
 
3.6%
35 16
14.4%
30 17
15.3%

비 고
Categorical

Distinct11
Distinct (%)9.9%
Missing0
Missing (%)0.0%
Memory size1020.0 B
철로변 완충녹지
24 
쌈지공원
17 
어린이공원
14 
어린이놀이터 및 공공공지
12 
서대구공단 완충녹지
11 
Other values (6)
33 

Length

Max length13
Median length9
Mean length7.1531532
Min length3

Unique

Unique1 ?
Unique (%)0.9%

Sample

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

Common Values

ValueCountFrequency (%)
철로변 완충녹지 24
21.6%
쌈지공원 17
15.3%
어린이공원 14
12.6%
어린이놀이터 및 공공공지 12
10.8%
서대구공단 완충녹지 11
9.9%
동네체육시설 8
 
7.2%
근린공원 7
 
6.3%
교내 체육시설 7
 
6.3%
염색공단 완충녹지 6
 
5.4%
시설녹지 4
 
3.6%

Length

2023-12-12T08:50:13.106304image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
완충녹지 41
22.4%
철로변 24
13.1%
쌈지공원 17
9.3%
어린이공원 14
 
7.7%
어린이놀이터 12
 
6.6%
및 12
 
6.6%
공공공지 12
 
6.6%
서대구공단 11
 
6.0%
동네체육시설 8
 
4.4%
근린공원 7
 
3.8%
Other values (5) 25
13.7%

Interactions

2023-12-12T08:50:10.351604image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T08:50:10.152802image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T08:50:10.444464image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T08:50:10.252879image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T08:50:13.168710image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
체육기구(점)면 적(제곱미터)비 고
체육기구(점)1.0000.8040.601
면 적(제곱미터)0.8041.0000.688
비 고0.6010.6881.000
2023-12-12T08:50:13.237324image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
체육기구(점)면 적(제곱미터)비 고
체육기구(점)1.0000.6390.320
면 적(제곱미터)0.6391.0000.376
비 고0.3200.3761.000

Missing values

2023-12-12T08:50:10.570374image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T08:50:10.668659image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

Sample

위치주소체육기구(점)면 적(제곱미터)비 고
0감삼못공원대구광역시 서구 내당동 463-71466근린공원
1평리공원대구광역시 서구 평리동 1230-11650근린공원
2이현공원 체력단련장대구광역시 서구 이현동 산28-152460근린공원
3이현공원 서편대구광역시 서구 이현동 산28-181054근린공원
4가르뱅이공원대구광역시 서구 상리동 산264-5625근린공원
5상리공원 광장대구광역시 서구 중리동 1180-4966근린공원
6상리공원 정상대구광역시 서구 중리동 산1981035근린공원
7황제공원대구광역시 서구 내당동 11-141030어린이공원
8경운공원대구광역시 서구 내당동 252-4835어린이공원
9삼익공원대구광역시 서구 내당동 308-11025어린이공원
위치주소체육기구(점)면 적(제곱미터)비 고
101누리쌈지공원대구광역시 서구 비산동 368-1115쌈지공원
102다솜쌈지공원대구광역시 서구 비산동 437-1315쌈지공원
103효사각쌈지공원대구광역시 서구 원대동3가 1300-1625쌈지공원
104꽃담쌈지공원대구광역시 서구 내당동 1015-67415쌈지공원
105새방골쌈지공원대구광역시 서구 상리동 591-1110쌈지공원
106평리1동쌈지공원대구광역시 서구 평리동 844-26310쌈지공원
107비산4동쌈지공원대구광역시 서구 비산동 315-187210쌈지공원
108내당2.3동쌈지공원대구광역시 서구 내당동 891-37415쌈지공원
109비산4동쌈지공원(2)대구광역시 서구 비산동 293-38315쌈지공원
110인동촌 쌈지공원대구광역시 서구 비산동 22-8520쌈지공원