Overview

Dataset statistics

Number of variables10
Number of observations175
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory14.1 KiB
Average record size in memory82.8 B

Variable types

Numeric2
Categorical5
Text2
DateTime1

Dataset

Description대구광역시 북구 관내 야외운동기구 현황 정보(소재지 지번주소, 설치장소, 운동기구종류, 수량, 관리부서, 관리부서연락처 등)를 제공합니다.
URLhttps://www.data.go.kr/data/15101420/fileData.do

Alerts

시도명 has constant value ""Constant
시군구명 has constant value ""Constant
관리부서 has constant value ""Constant
관리부서연락처 has constant value ""Constant
데이터기준일자 has constant value ""Constant
수량 is highly overall correlated with 운동기구종류High correlation
운동기구종류 is highly overall correlated with 수량High correlation
연번 has unique valuesUnique
소재지 지번주소 has unique valuesUnique

Reproduction

Analysis started2023-12-12 19:04:03.728333
Analysis finished2023-12-12 19:04:05.265107
Duration1.54 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

UNIQUE 

Distinct175
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean88
Minimum1
Maximum175
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.7 KiB
2023-12-13T04:04:05.373420image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile9.7
Q144.5
median88
Q3131.5
95-th percentile166.3
Maximum175
Range174
Interquartile range (IQR)87

Descriptive statistics

Standard deviation50.662281
Coefficient of variation (CV)0.57570773
Kurtosis-1.2
Mean88
Median Absolute Deviation (MAD)44
Skewness0
Sum15400
Variance2566.6667
MonotonicityStrictly increasing
2023-12-13T04:04:05.587575image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.6%
2 1
 
0.6%
113 1
 
0.6%
114 1
 
0.6%
115 1
 
0.6%
116 1
 
0.6%
117 1
 
0.6%
118 1
 
0.6%
119 1
 
0.6%
120 1
 
0.6%
Other values (165) 165
94.3%
ValueCountFrequency (%)
1 1
0.6%
2 1
0.6%
3 1
0.6%
4 1
0.6%
5 1
0.6%
6 1
0.6%
7 1
0.6%
8 1
0.6%
9 1
0.6%
10 1
0.6%
ValueCountFrequency (%)
175 1
0.6%
174 1
0.6%
173 1
0.6%
172 1
0.6%
171 1
0.6%
170 1
0.6%
169 1
0.6%
168 1
0.6%
167 1
0.6%
166 1
0.6%

시도명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
대구광역시
175 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
대구광역시 175
100.0%

Length

2023-12-13T04:04:05.735386image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T04:04:05.853010image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
대구광역시 175
100.0%

시군구명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
북구
175 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
북구 175
100.0%

Length

2023-12-13T04:04:05.975978image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T04:04:06.084596image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
북구 175
100.0%

소재지 지번주소
Text

UNIQUE 

Distinct175
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
2023-12-13T04:04:06.384107image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length32
Median length30
Mean length18.074286
Min length15

Characters and Unicode

Total characters3163
Distinct characters89
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique175 ?
Unique (%)100.0%

Sample

1st row대구광역시 북구 검단동 1393
2nd row대구광역시 북구 검단동 887-144 일원
3rd row대구광역시 북구 고성동1가 111-44 일원
4th row대구광역시 북구 매천동 649 일원(87-1 인근)
5th row대구광역시 북구 매천동 633-1 일원(매천동 199건너)
ValueCountFrequency (%)
북구 176
24.5%
대구광역시 175
24.3%
태전동 17
 
2.4%
구암동 16
 
2.2%
산격동 14
 
1.9%
일원 11
 
1.5%
복현동 9
 
1.3%
읍내동 9
 
1.3%
매천동 9
 
1.3%
관음동 8
 
1.1%
Other values (221) 275
38.2%
2023-12-13T04:04:06.857555image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
544
17.2%
구 368
 
11.6%
대 182
 
5.8%
북 176
 
5.6%
동 176
 
5.6%
광 175
 
5.5%
역 175
 
5.5%
시 175
 
5.5%
1 161
 
5.1%
3 79
 
2.5%
Other values (79) 952
30.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1844
58.3%
Decimal Number 686
 
21.7%
Space Separator 545
 
17.2%
Dash Punctuation 76
 
2.4%
Close Punctuation 6
 
0.2%
Open Punctuation 6
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 368
20.0%
대 182
9.9%
북 176
9.5%
동 176
9.5%
광 175
9.5%
역 175
9.5%
시 175
9.5%
산 30
 
1.6%
천 23
 
1.2%
태 21
 
1.1%
Other values (64) 343
18.6%
Decimal Number
ValueCountFrequency (%)
1 161
23.5%
3 79
11.5%
2 78
11.4%
7 74
10.8%
9 54
 
7.9%
6 51
 
7.4%
8 50
 
7.3%
5 47
 
6.9%
4 47
 
6.9%
0 45
 
6.6%
Space Separator
ValueCountFrequency (%)
544
99.8%
　 1
 
0.2%
Dash Punctuation
ValueCountFrequency (%)
- 76
100.0%
Close Punctuation
ValueCountFrequency (%)
) 6
100.0%
Open Punctuation
ValueCountFrequency (%)
( 6
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1844
58.3%
Common 1319
41.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 368
20.0%
대 182
9.9%
북 176
9.5%
동 176
9.5%
광 175
9.5%
역 175
9.5%
시 175
9.5%
산 30
 
1.6%
천 23
 
1.2%
태 21
 
1.1%
Other values (64) 343
18.6%
Common
ValueCountFrequency (%)
544
41.2%
1 161
 
12.2%
3 79
 
6.0%
2 78
 
5.9%
- 76
 
5.8%
7 74
 
5.6%
9 54
 
4.1%
6 51
 
3.9%
8 50
 
3.8%
5 47
 
3.6%
Other values (5) 105
 
8.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1844
58.3%
ASCII 1318
41.7%
None 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
544
41.3%
1 161
 
12.2%
3 79
 
6.0%
2 78
 
5.9%
- 76
 
5.8%
7 74
 
5.6%
9 54
 
4.1%
6 51
 
3.9%
8 50
 
3.8%
5 47
 
3.6%
Other values (4) 104
 
7.9%
Hangul
ValueCountFrequency (%)
구 368
20.0%
대 182
9.9%
북 176
9.5%
동 176
9.5%
광 175
9.5%
역 175
9.5%
시 175
9.5%
산 30
 
1.6%
천 23
 
1.2%
태 21
 
1.1%
Other values (64) 343
18.6%
None
ValueCountFrequency (%)
　 1
100.0%

설치장소
Text

Distinct174
Distinct (%)99.4%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
2023-12-13T04:04:07.086814image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length23
Median length18
Mean length7.9771429
Min length3

Characters and Unicode

Total characters1396
Distinct characters212
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique173 ?
Unique (%)98.9%

Sample

1st row금호2교 동네체육시설
2nd row유성아파트 내 녹지대
3rd row철도변(고성동) 녹지대
4th row매천동 쉼터
5th row소래실공원
ValueCountFrequency (%)
동네체육시설 16
 
5.6%
읍내동 6
 
2.1%
앞 6
 
2.1%
녹지대 6
 
2.1%
쌈지공원 5
 
1.7%
태전동 4
 
1.4%
관음동 4
 
1.4%
구암동 4
 
1.4%
인근 4
 
1.4%
동네체육 4
 
1.4%
Other values (207) 228
79.4%
2023-12-13T04:04:07.509277image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
116
 
8.3%
원 100
 
7.2%
공 99
 
7.1%
동 86
 
6.2%
지 30
 
2.1%
육 30
 
2.1%
체 30
 
2.1%
시 28
 
2.0%
네 26
 
1.9%
설 25
 
1.8%
Other values (202) 826
59.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1159
83.0%
Space Separator 116
 
8.3%
Decimal Number 84
 
6.0%
Open Punctuation 14
 
1.0%
Close Punctuation 14
 
1.0%
Dash Punctuation 8
 
0.6%
Uppercase Letter 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
원 100
 
8.6%
공 99
 
8.5%
동 86
 
7.4%
지 30
 
2.6%
육 30
 
2.6%
체 30
 
2.6%
시 28
 
2.4%
네 26
 
2.2%
설 25
 
2.2%
근 21
 
1.8%
Other values (187) 684
59.0%
Decimal Number
ValueCountFrequency (%)
1 22
26.2%
2 16
19.0%
3 10
11.9%
7 6
 
7.1%
4 6
 
7.1%
5 6
 
7.1%
0 5
 
6.0%
8 5
 
6.0%
6 5
 
6.0%
9 3
 
3.6%
Space Separator
ValueCountFrequency (%)
116
100.0%
Open Punctuation
ValueCountFrequency (%)
( 14
100.0%
Close Punctuation
ValueCountFrequency (%)
) 14
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 8
100.0%
Uppercase Letter
ValueCountFrequency (%)
U 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1159
83.0%
Common 236
 
16.9%
Latin 1
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
원 100
 
8.6%
공 99
 
8.5%
동 86
 
7.4%
지 30
 
2.6%
육 30
 
2.6%
체 30
 
2.6%
시 28
 
2.4%
네 26
 
2.2%
설 25
 
2.2%
근 21
 
1.8%
Other values (187) 684
59.0%
Common
ValueCountFrequency (%)
116
49.2%
1 22
 
9.3%
2 16
 
6.8%
( 14
 
5.9%
) 14
 
5.9%
3 10
 
4.2%
- 8
 
3.4%
7 6
 
2.5%
4 6
 
2.5%
5 6
 
2.5%
Other values (4) 18
 
7.6%
Latin
ValueCountFrequency (%)
U 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1159
83.0%
ASCII 237
 
17.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
116
48.9%
1 22
 
9.3%
2 16
 
6.8%
( 14
 
5.9%
) 14
 
5.9%
3 10
 
4.2%
- 8
 
3.4%
7 6
 
2.5%
4 6
 
2.5%
5 6
 
2.5%
Other values (5) 19
 
8.0%
Hangul
ValueCountFrequency (%)
원 100
 
8.6%
공 99
 
8.5%
동 86
 
7.4%
지 30
 
2.6%
육 30
 
2.6%
체 30
 
2.6%
시 28
 
2.4%
네 26
 
2.2%
설 25
 
2.2%
근 21
 
1.8%
Other values (187) 684
59.0%

운동기구종류
Categorical

HIGH CORRELATION 

Distinct38
Distinct (%)21.7%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
공중걷기 외2종
30 
공중걷기 외3종
30 
공중걷기 외5종
18 
공중걷기 외4종
17 
공중걷기 외6종
10 
Other values (33)
70 

Length

Max length10
Median length8
Mean length8.1314286
Min length5

Unique

Unique19 ?
Unique (%)10.9%

Sample

1st row공중걷기 외5종
2nd row공중걷기 외5종
3rd row달리기 외4종
4th row공중걷기 외2종
5th row공중걷기 외6종

Common Values

ValueCountFrequency (%)
공중걷기 외2종 30
17.1%
공중걷기 외3종 30
17.1%
공중걷기 외5종 18
10.3%
공중걷기 외4종 17
9.7%
공중걷기 외6종 10
 
5.7%
공중걷기 외7종 6
 
3.4%
공중걷기 외10종 6
 
3.4%
공중걷기 외8종 6
 
3.4%
공중걷기 외14종 5
 
2.9%
파도타기 외2종 5
 
2.9%
Other values (28) 42
24.0%

Length

2023-12-13T04:04:07.662060image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
공중걷기 144
41.3%
외2종 42
 
12.0%
외3종 31
 
8.9%
외5종 20
 
5.7%
외4종 18
 
5.2%
파도타기 12
 
3.4%
외6종 11
 
3.2%
허리돌리기 11
 
3.2%
외1종 6
 
1.7%
외8종 6
 
1.7%
Other values (20) 48
 
13.8%

수량
Real number (ℝ)

HIGH CORRELATION 

Distinct26
Distinct (%)14.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.1657143
Minimum1
Maximum54
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.7 KiB
2023-12-13T04:04:07.779153image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q13
median4
Q37
95-th percentile21.3
Maximum54
Range53
Interquartile range (IQR)4

Descriptive statistics

Standard deviation7.7103432
Coefficient of variation (CV)1.0760048
Kurtosis12.615184
Mean7.1657143
Median Absolute Deviation (MAD)1
Skewness3.2650279
Sum1254
Variance59.449392
MonotonicityNot monotonic
2023-12-13T04:04:07.907232image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=26)
ValueCountFrequency (%)
3 44
25.1%
4 35
20.0%
5 18
10.3%
6 15
 
8.6%
7 9
 
5.1%
2 8
 
4.6%
9 8
 
4.6%
8 6
 
3.4%
11 4
 
2.3%
1 3
 
1.7%
Other values (16) 25
14.3%
ValueCountFrequency (%)
1 3
 
1.7%
2 8
 
4.6%
3 44
25.1%
4 35
20.0%
5 18
10.3%
6 15
 
8.6%
7 9
 
5.1%
8 6
 
3.4%
9 8
 
4.6%
10 2
 
1.1%
ValueCountFrequency (%)
54 1
0.6%
43 1
0.6%
37 1
0.6%
36 1
0.6%
32 2
1.1%
31 1
0.6%
23 1
0.6%
22 1
0.6%
21 2
1.1%
18 2
1.1%

관리부서
Categorical

CONSTANT 

Distinct1
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
체육진흥과
175 

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 175
100.0%

Length

2023-12-13T04:04:08.056785image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T04:04:08.169223image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
체육진흥과 175
100.0%

관리부서연락처
Categorical

CONSTANT 

Distinct1
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
053-665-3952
175 

Length

Max length12
Median length12
Mean length12
Min length12

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row053-665-3952
2nd row053-665-3952
3rd row053-665-3952
4th row053-665-3952
5th row053-665-3952

Common Values

ValueCountFrequency (%)
053-665-3952 175
100.0%

Length

2023-12-13T04:04:08.271245image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T04:04:08.362771image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
053-665-3952 175
100.0%

데이터기준일자
Date

CONSTANT 

Distinct1
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
Minimum2023-06-30 00:00:00
Maximum2023-06-30 00:00:00
2023-12-13T04:04:08.438104image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T04:04:08.524590image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Interactions

2023-12-13T04:04:04.679004image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T04:04:04.094537image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T04:04:04.785122image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T04:04:04.571999image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-13T04:04:08.587577image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번운동기구종류수량
연번1.0000.3380.000
운동기구종류0.3381.0000.880
수량0.0000.8801.000
2023-12-13T04:04:08.665154image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번수량운동기구종류
연번1.000-0.0760.113
수량-0.0761.0000.517
운동기구종류0.1130.5171.000

Missing values

2023-12-13T04:04:04.934694image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T04:04:05.143478image/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

연번시도명시군구명소재지 지번주소설치장소운동기구종류수량관리부서관리부서연락처데이터기준일자
01대구광역시북구대구광역시 북구 검단동 1393금호2교 동네체육시설공중걷기 외5종6체육진흥과053-665-39522023-06-30
12대구광역시북구대구광역시 북구 검단동 887-144 일원유성아파트 내 녹지대공중걷기 외5종14체육진흥과053-665-39522023-06-30
23대구광역시북구대구광역시 북구 고성동1가 111-44 일원철도변(고성동) 녹지대달리기 외4종10체육진흥과053-665-39522023-06-30
34대구광역시북구대구광역시 북구 매천동 649 일원(87-1 인근)매천동 쉼터공중걷기 외2종3체육진흥과053-665-39522023-06-30
45대구광역시북구대구광역시 북구 매천동 633-1 일원(매천동 199건너)소래실공원공중걷기 외6종7체육진흥과053-665-39522023-06-30
56대구광역시북구대구광역시 북구 매천동 742매천휴먼시아공원공중걷기 외6종8체육진흥과053-665-39522023-06-30
67대구광역시북구대구광역시 북구 매천동 752매천무지개공원공중걷기 외3종4체육진흥과053-665-39522023-06-30
78대구광역시북구대구광역시 북구 매천동 727송천공원파도타기 외2종3체육진흥과053-665-39522023-06-30
89대구광역시북구대구광역시 북구 사수동 898금호지구 유수지 체육시설공중걷기 외5종7체육진흥과053-665-39522023-06-30
910대구광역시북구대구광역시 북구 금호동 879새터공원공중걷기 외1종2체육진흥과053-665-39522023-06-30
연번시도명시군구명소재지 지번주소설치장소운동기구종류수량관리부서관리부서연락처데이터기준일자
165166대구광역시북구대구광역시 북구 구암동 762-1구암동 762-1공중걷기 외7종8체육진흥과053-665-39522023-06-30
166167대구광역시북구대구광역시 북구 동호동 534-2동호동 534-2공중걷기 외2종3체육진흥과053-665-39522023-06-30
167168대구광역시북구대구광역시 북구 노원동1가 182-3노원동1가 182-3공중걷기 외2종3체육진흥과053-665-39522023-06-30
168169대구광역시북구대구광역시 북구 서변동 1798서변동 1798파도타기 외1종2체육진흥과053-665-39522023-06-30
169170대구광역시북구대구광역시 북구 산격동 1551산격동 1551허리돌리기 외2종3체육진흥과053-665-39522023-06-30
170171대구광역시북구대구광역시 북구 산격동 1623산격동 1623공중걷기 외2종3체육진흥과053-665-39522023-06-30
171172대구광역시북구대구광역시 북구 읍내동 1310읍내동 1310공중걷기 외8종9체육진흥과053-665-39522023-06-30
172173대구광역시북구대구광역시 북구 칠성동2가 2-14칠성동2가 2-14공중걷기 외2종3체육진흥과053-665-39522023-06-30
173174대구광역시북구대구광역시 북구 태전동 129-1태전동 129-1공중걷기 외2종3체육진흥과053-665-39522023-06-30
174175대구광역시북구대구광역시 북구 태전동 531-3태전동 531-3공중걷기 외5종6체육진흥과053-665-39522023-06-30