Overview

Dataset statistics

Number of variables11
Number of observations31
Missing cells31
Missing cells (%)9.1%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory2.9 KiB
Average record size in memory94.3 B

Variable types

Numeric1
Text4
Categorical6

Dataset

Description충청북도 음성군에서 운영 중인 공공체육시설의 현황에 대한 정보를 제공합니다.주요 시설 및 설립년월 등에 관한 데이터를 제공합니다.
Author충청북도 음성군
URLhttps://www.data.go.kr/data/15098743/fileData.do

Alerts

관리기관명 has constant value ""Constant
담당부서명 has constant value ""Constant
데이터기준일 has constant value ""Constant
연번 is highly overall correlated with 개방시설유형구분High correlation
개방시설유형구분 is highly overall correlated with 연번High correlation
설립연도 is highly imbalanced (79.4%)Imbalance
소재지 도로명주소 has 5 (16.1%) missing valuesMissing
소재지 지번주소 has 26 (83.9%) missing valuesMissing
연번 has unique valuesUnique
개방시설명 has unique valuesUnique

Reproduction

Analysis started2023-12-12 21:36:26.518044
Analysis finished2023-12-12 21:36:28.136715
Duration1.62 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct31
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean16
Minimum1
Maximum31
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size411.0 B
2023-12-13T06:36:28.249325image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2.5
Q18.5
median16
Q323.5
95-th percentile29.5
Maximum31
Range30
Interquartile range (IQR)15

Descriptive statistics

Standard deviation9.0921211
Coefficient of variation (CV)0.56825757
Kurtosis-1.2
Mean16
Median Absolute Deviation (MAD)8
Skewness0
Sum496
Variance82.666667
MonotonicityStrictly increasing
2023-12-13T06:36:28.489865image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=31)
ValueCountFrequency (%)
1 1
 
3.2%
2 1
 
3.2%
31 1
 
3.2%
30 1
 
3.2%
29 1
 
3.2%
28 1
 
3.2%
27 1
 
3.2%
26 1
 
3.2%
25 1
 
3.2%
24 1
 
3.2%
Other values (21) 21
67.7%
ValueCountFrequency (%)
1 1
3.2%
2 1
3.2%
3 1
3.2%
4 1
3.2%
5 1
3.2%
6 1
3.2%
7 1
3.2%
8 1
3.2%
9 1
3.2%
10 1
3.2%
ValueCountFrequency (%)
31 1
3.2%
30 1
3.2%
29 1
3.2%
28 1
3.2%
27 1
3.2%
26 1
3.2%
25 1
3.2%
24 1
3.2%
23 1
3.2%
22 1
3.2%

개방시설명
Text

UNIQUE 

Distinct31
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size380.0 B
2023-12-13T06:36:28.830546image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length9.5483871
Min length6

Characters and Unicode

Total characters296
Distinct characters60
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique31 ?
Unique (%)100.0%

Sample

1st row음성실내체육관
2nd row삼성실내체육관
3rd row대소국민체육센터
4th row음성종합운동장
5th row금왕생활체육공원
ValueCountFrequency (%)
전천후게이트볼장 8
 
14.0%
음성 4
 
7.0%
맹동 3
 
5.3%
그라운드골프장 3
 
5.3%
소규모 2
 
3.5%
생극 2
 
3.5%
감곡 2
 
3.5%
원남 2
 
3.5%
생활체육공원 2
 
3.5%
대소 2
 
3.5%
Other values (25) 27
47.4%
2023-12-13T06:36:29.277388image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
26
 
8.8%
20
 
6.8%
14
 
4.7%
11
 
3.7%
11
 
3.7%
11
 
3.7%
11
 
3.7%
11
 
3.7%
11
 
3.7%
11
 
3.7%
Other values (50) 159
53.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 268
90.5%
Space Separator 26
 
8.8%
Decimal Number 2
 
0.7%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
20
 
7.5%
14
 
5.2%
11
 
4.1%
11
 
4.1%
11
 
4.1%
11
 
4.1%
11
 
4.1%
11
 
4.1%
11
 
4.1%
11
 
4.1%
Other values (47) 146
54.5%
Decimal Number
ValueCountFrequency (%)
2 1
50.0%
1 1
50.0%
Space Separator
ValueCountFrequency (%)
26
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 268
90.5%
Common 28
 
9.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
20
 
7.5%
14
 
5.2%
11
 
4.1%
11
 
4.1%
11
 
4.1%
11
 
4.1%
11
 
4.1%
11
 
4.1%
11
 
4.1%
11
 
4.1%
Other values (47) 146
54.5%
Common
ValueCountFrequency (%)
26
92.9%
2 1
 
3.6%
1 1
 
3.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 268
90.5%
ASCII 28
 
9.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
26
92.9%
2 1
 
3.6%
1 1
 
3.6%
Hangul
ValueCountFrequency (%)
20
 
7.5%
14
 
5.2%
11
 
4.1%
11
 
4.1%
11
 
4.1%
11
 
4.1%
11
 
4.1%
11
 
4.1%
11
 
4.1%
11
 
4.1%
Other values (47) 146
54.5%

개방시설유형구분
Categorical

HIGH CORRELATION 

Distinct4
Distinct (%)12.9%
Missing0
Missing (%)0.0%
Memory size380.0 B
그라운드골프장 및 전천후 게이트볼장
14 
종합운동장 및 체육공원
체육관
기타 체육시설

Length

Max length19
Median length12
Mean length12.903226
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row체육관
2nd row체육관
3rd row체육관
4th row종합운동장 및 체육공원
5th row종합운동장 및 체육공원

Common Values

ValueCountFrequency (%)
그라운드골프장 및 전천후 게이트볼장 14
45.2%
종합운동장 및 체육공원 7
22.6%
체육관 5
 
16.1%
기타 체육시설 5
 
16.1%

Length

2023-12-13T06:36:29.440582image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T06:36:29.572332image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
21
22.8%
그라운드골프장 14
15.2%
전천후 14
15.2%
게이트볼장 14
15.2%
종합운동장 7
 
7.6%
체육공원 7
 
7.6%
체육관 5
 
5.4%
기타 5
 
5.4%
체육시설 5
 
5.4%
Distinct18
Distinct (%)58.1%
Missing0
Missing (%)0.0%
Memory size380.0 B
2023-12-13T06:36:29.742322image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length37
Median length28
Mean length10.645161
Min length3

Characters and Unicode

Total characters330
Distinct characters74
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

Unique16 ?
Unique (%)51.6%

Sample

1st row농구대+전광판
2nd row체육센터
3rd row체육센터
4th row사이클트랙+보조트랙+육상트랙+축구장
5th row다목적운동장+농구장+씨름장+인라인+풋살장
ValueCountFrequency (%)
게이트볼장 13
23.2%
체육센터 4
 
7.1%
축구장 3
 
5.4%
그라운드골프장 3
 
5.4%
풋살장 2
 
3.6%
그라운드 2
 
3.6%
파크골프장 2
 
3.6%
골프장 2
 
3.6%
족구장 2
 
3.6%
테니스장 2
 
3.6%
Other values (21) 21
37.5%
2023-12-13T06:36:30.069434image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
44
 
13.3%
35
 
10.6%
+ 29
 
8.8%
16
 
4.8%
16
 
4.8%
13
 
3.9%
13
 
3.9%
13
 
3.9%
7
 
2.1%
7
 
2.1%
Other values (64) 137
41.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 261
79.1%
Space Separator 35
 
10.6%
Math Symbol 29
 
8.8%
Decimal Number 5
 
1.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
44
 
16.9%
16
 
6.1%
16
 
6.1%
13
 
5.0%
13
 
5.0%
13
 
5.0%
7
 
2.7%
7
 
2.7%
7
 
2.7%
6
 
2.3%
Other values (58) 119
45.6%
Decimal Number
ValueCountFrequency (%)
1 2
40.0%
2 1
20.0%
7 1
20.0%
9 1
20.0%
Space Separator
ValueCountFrequency (%)
35
100.0%
Math Symbol
ValueCountFrequency (%)
+ 29
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 261
79.1%
Common 69
 
20.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
44
 
16.9%
16
 
6.1%
16
 
6.1%
13
 
5.0%
13
 
5.0%
13
 
5.0%
7
 
2.7%
7
 
2.7%
7
 
2.7%
6
 
2.3%
Other values (58) 119
45.6%
Common
ValueCountFrequency (%)
35
50.7%
+ 29
42.0%
1 2
 
2.9%
2 1
 
1.4%
7 1
 
1.4%
9 1
 
1.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 261
79.1%
ASCII 69
 
20.9%

Most frequent character per block

Hangul
ValueCountFrequency (%)
44
 
16.9%
16
 
6.1%
16
 
6.1%
13
 
5.0%
13
 
5.0%
13
 
5.0%
7
 
2.7%
7
 
2.7%
7
 
2.7%
6
 
2.3%
Other values (58) 119
45.6%
ASCII
ValueCountFrequency (%)
35
50.7%
+ 29
42.0%
1 2
 
2.9%
2 1
 
1.4%
7 1
 
1.4%
9 1
 
1.4%
Distinct23
Distinct (%)88.5%
Missing5
Missing (%)16.1%
Memory size380.0 B
2023-12-13T06:36:30.272103image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length26
Median length23.5
Mean length21.230769
Min length19

Characters and Unicode

Total characters552
Distinct characters60
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

Unique20 ?
Unique (%)76.9%

Sample

1st row충청북도 음성군 음성읍 설성로 47
2nd row충청북도 음성군 삼성면 금일로 992-34
3rd row충청북도 음성군 대소면 대성로 39
4th row충청북도 음성군 음성읍 설성로 47
5th row충청북도 음성군 금왕읍 무극로 370
ValueCountFrequency (%)
충청북도 26
19.7%
음성군 26
19.7%
음성읍 6
 
4.5%
맹동면 4
 
3.0%
대소면 4
 
3.0%
삼성면 3
 
2.3%
금왕읍 3
 
2.3%
소이면 2
 
1.5%
원남면 2
 
1.5%
보천로65번길 2
 
1.5%
Other values (45) 54
40.9%
2023-12-13T06:36:30.658228image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
106
19.2%
41
 
7.4%
34
 
6.2%
26
 
4.7%
26
 
4.7%
26
 
4.7%
26
 
4.7%
26
 
4.7%
24
 
4.3%
17
 
3.1%
Other values (50) 200
36.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 348
63.0%
Space Separator 106
 
19.2%
Decimal Number 89
 
16.1%
Dash Punctuation 9
 
1.6%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
41
11.8%
34
 
9.8%
26
 
7.5%
26
 
7.5%
26
 
7.5%
26
 
7.5%
26
 
7.5%
24
 
6.9%
17
 
4.9%
9
 
2.6%
Other values (38) 93
26.7%
Decimal Number
ValueCountFrequency (%)
1 14
15.7%
4 13
14.6%
3 11
12.4%
7 11
12.4%
5 10
11.2%
2 10
11.2%
9 7
7.9%
6 7
7.9%
0 4
 
4.5%
8 2
 
2.2%
Space Separator
ValueCountFrequency (%)
106
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 9
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 348
63.0%
Common 204
37.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
41
11.8%
34
 
9.8%
26
 
7.5%
26
 
7.5%
26
 
7.5%
26
 
7.5%
26
 
7.5%
24
 
6.9%
17
 
4.9%
9
 
2.6%
Other values (38) 93
26.7%
Common
ValueCountFrequency (%)
106
52.0%
1 14
 
6.9%
4 13
 
6.4%
3 11
 
5.4%
7 11
 
5.4%
5 10
 
4.9%
2 10
 
4.9%
- 9
 
4.4%
9 7
 
3.4%
6 7
 
3.4%
Other values (2) 6
 
2.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 348
63.0%
ASCII 204
37.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
106
52.0%
1 14
 
6.9%
4 13
 
6.4%
3 11
 
5.4%
7 11
 
5.4%
5 10
 
4.9%
2 10
 
4.9%
- 9
 
4.4%
9 7
 
3.4%
6 7
 
3.4%
Other values (2) 6
 
2.9%
Hangul
ValueCountFrequency (%)
41
11.8%
34
 
9.8%
26
 
7.5%
26
 
7.5%
26
 
7.5%
26
 
7.5%
26
 
7.5%
24
 
6.9%
17
 
4.9%
9
 
2.6%
Other values (38) 93
26.7%
Distinct5
Distinct (%)100.0%
Missing26
Missing (%)83.9%
Memory size380.0 B
2023-12-13T06:36:30.803561image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length24
Median length23
Mean length21.8
Min length18

Characters and Unicode

Total characters109
Distinct characters35
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

Unique5 ?
Unique (%)100.0%

Sample

1st row충청북도 음성군 음성읍 읍내리 817-253
2nd row충청북도 음성군 감곡면 왕장리 540-23
3rd row충청북도 음성군 감곡면 오향리 316-2
4th row충청북도 음성군 생극면 신양리 793-2
5th row충청북도 음성군 맹동면 동성리 6
ValueCountFrequency (%)
충청북도 5
20.0%
음성군 5
20.0%
감곡면 2
 
8.0%
음성읍 1
 
4.0%
읍내리 1
 
4.0%
817-253 1
 
4.0%
왕장리 1
 
4.0%
540-23 1
 
4.0%
오향리 1
 
4.0%
316-2 1
 
4.0%
Other values (6) 6
24.0%
2023-12-13T06:36:31.053205image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/