Overview

Dataset statistics

Number of variables16
Number of observations76
Missing cells4
Missing cells (%)0.3%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory10.0 KiB
Average record size in memory134.7 B

Variable types

Numeric5
Categorical6
Text4
DateTime1

Dataset

Description대전광역시 서구 관내에서 운영중인 생활체육교실(운영요일, 운영시간, 종목, 클럽명, 지번/도로명 주소 등) 정보를 제공합니다.
Author대전광역시 서구
URLhttps://www.data.go.kr/data/15113078/fileData.do

Alerts

신청방법 has constant value ""Constant
데이터기준일자 has constant value ""Constant
행정동명 is highly overall correlated with 행정동코드 and 4 other fieldsHigh correlation
법정동명 is highly overall correlated with 행정동코드 and 4 other fieldsHigh correlation
행정동코드 is highly overall correlated with 법정동코드 and 2 other fieldsHigh correlation
법정동코드 is highly overall correlated with 행정동코드 and 2 other fieldsHigh correlation
위도 is highly overall correlated with 경도 and 2 other fieldsHigh correlation
경도 is highly overall correlated with 위도 and 2 other fieldsHigh correlation
운영요일명 is highly overall correlated with 운영종목명High correlation
운영종목명 is highly overall correlated with 운영요일명High correlation
도로명주소 has 4 (5.3%) missing valuesMissing
순번 has unique valuesUnique

Reproduction

Analysis started2024-04-21 02:16:51.427692
Analysis finished2024-04-21 02:16:57.042155
Duration5.61 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

순번
Real number (ℝ)

UNIQUE 

Distinct76
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean38.5
Minimum1
Maximum76
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size816.0 B
2024-04-21T11:16:57.121006image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile4.75
Q119.75
median38.5
Q357.25
95-th percentile72.25
Maximum76
Range75
Interquartile range (IQR)37.5

Descriptive statistics

Standard deviation22.083176
Coefficient of variation (CV)0.57358899
Kurtosis-1.2
Mean38.5
Median Absolute Deviation (MAD)19
Skewness0
Sum2926
Variance487.66667
MonotonicityStrictly increasing
2024-04-21T11:16:57.298406image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
1.3%
50 1
 
1.3%
57 1
 
1.3%
56 1
 
1.3%
55 1
 
1.3%
54 1
 
1.3%
53 1
 
1.3%
52 1
 
1.3%
51 1
 
1.3%
49 1
 
1.3%
Other values (66) 66
86.8%
ValueCountFrequency (%)
1 1
1.3%
2 1
1.3%
3 1
1.3%
4 1
1.3%
5 1
1.3%
6 1
1.3%
7 1
1.3%
8 1
1.3%
9 1
1.3%
10 1
1.3%
ValueCountFrequency (%)
76 1
1.3%
75 1
1.3%
74 1
1.3%
73 1
1.3%
72 1
1.3%
71 1
1.3%
70 1
1.3%
69 1
1.3%
68 1
1.3%
67 1
1.3%

운영요일명
Categorical

HIGH CORRELATION 

Distinct18
Distinct (%)23.7%
Missing0
Missing (%)0.0%
Memory size740.0 B
월~금
24 
월,수
16 
화,목
14 
월.수,금
5 
월.화,목
 
2
Other values (13)
15 

Length

Max length7
Median length3
Mean length3.4210526
Min length3

Unique

Unique11 ?
Unique (%)14.5%

Sample

1st row월,수
2nd row월,수
3rd row월,수
4th row화,목
5th row월,수

Common Values

ValueCountFrequency (%)
월~금 24
31.6%
월,수 16
21.1%
화,목 14
18.4%
월.수,금 5
 
6.6%
월.화,목 2
 
2.6%
화,목,금 2
 
2.6%
토,일 2
 
2.6%
수,금 1
 
1.3%
화.목,금 1
 
1.3%
화.수,목 1
 
1.3%
Other values (8) 8
 
10.5%

Length

2024-04-21T11:16:57.452267image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
월~금 24
31.6%
월,수 16
21.1%
화,목 14
18.4%
월.수,금 5
 
6.6%
월.화,목 2
 
2.6%
화,목,금 2
 
2.6%
토,일 2
 
2.6%
월.수,목 1
 
1.3%
화.수,금 1
 
1.3%
화,목,일 1
 
1.3%
Other values (8) 8
 
10.5%

운영시간
Text

Distinct46
Distinct (%)60.5%
Missing0
Missing (%)0.0%
Memory size740.0 B
2024-04-21T11:16:57.673453image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length27
Median length11
Mean length11.197368
Min length10

Characters and Unicode

Total characters851
Distinct characters16
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

Unique35 ?
Unique (%)46.1%

Sample

1st row10:00~11:15
2nd row10:00~11:15
3rd row14:30~15:45
4th row09:40~10:55
5th row10:00~11:15
ValueCountFrequency (%)
10:00~11:15 12
 
15.4%
14:00~15:15 4
 
5.1%
06:00~07:00 4
 
5.1%
08:30~09:30 3
 
3.8%
09:40~10:55 3
 
3.8%
14:00~15:30 3
 
3.8%
19:00~20:30 3
 
3.8%
09:00~10:15 3
 
3.8%
10:00~12:30 2
 
2.6%
20:00~22:00 2
 
2.6%
Other values (38) 39
50.0%
2024-04-21T11:16:58.038823image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 273
32.1%
: 154
18.1%
1 141
16.6%
~ 77
 
9.0%
3 49
 
5.8%
5 45
 
5.3%
9 30
 
3.5%
2 27
 
3.2%
4 18
 
2.1%
8 13
 
1.5%
Other values (6) 24
 
2.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 615
72.3%
Other Punctuation 155
 
18.2%
Math Symbol 77
 
9.0%
Space Separator 2
 
0.2%
Other Letter 2
 
0.2%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 273
44.4%
1 141
22.9%
3 49
 
8.0%
5 45
 
7.3%
9 30
 
4.9%
2 27
 
4.4%
4 18
 
2.9%
8 13
 
2.1%
6 10
 
1.6%
7 9
 
1.5%
Other Punctuation
ValueCountFrequency (%)
: 154
99.4%
, 1
 
0.6%
Other Letter
ValueCountFrequency (%)
화 1
50.0%
일 1
50.0%
Math Symbol
ValueCountFrequency (%)
~ 77
100.0%
Space Separator
ValueCountFrequency (%)
2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 849
99.8%
Hangul 2
 
0.2%

Most frequent character per script

Common
ValueCountFrequency (%)
0 273
32.2%
: 154
18.1%
1 141
16.6%
~ 77
 
9.1%
3 49
 
5.8%
5 45
 
5.3%
9 30
 
3.5%
2 27
 
3.2%
4 18
 
2.1%
8 13
 
1.5%
Other values (4) 22
 
2.6%
Hangul
ValueCountFrequency (%)
화 1
50.0%
일 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 849
99.8%
Hangul 2
 
0.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 273
32.2%
: 154
18.1%
1 141
16.6%
~ 77
 
9.1%
3 49
 
5.8%
5 45
 
5.3%
9 30
 
3.5%
2 27
 
3.2%
4 18
 
2.1%
8 13
 
1.5%
Other values (4) 22
 
2.6%
Hangul
ValueCountFrequency (%)
화 1
50.0%
일 1
50.0%

운영종목명
Categorical

HIGH CORRELATION 

Distinct22
Distinct (%)28.9%
Missing0
Missing (%)0.0%
Memory size740.0 B
탁구
27 
생활체조
14 
요가
6 
근력 스트레칭
5 
댄스스포츠
3 
Other values (17)
21 

Length

Max length7
Median length2
Mean length3.1184211
Min length2

Unique

Unique14 ?
Unique (%)18.4%

Sample

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

Common Values

ValueCountFrequency (%)
탁구 27
35.5%
생활체조 14
18.4%
요가 6
 
7.9%
근력 스트레칭 5
 
6.6%
댄스스포츠 3
 
3.9%
족구 3
 
3.9%
국학기공 2
 
2.6%
건강리듬 2
 
2.6%
씨름 1
 
1.3%
국학기공 1
 
1.3%
Other values (12) 12
15.8%

Length

2024-04-21T11:16:58.185230image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
탁구 27
33.3%
생활체조 14
17.3%
요가 6
 
7.4%
근력 5
 
6.2%
스트레칭 5
 
6.2%
댄스스포츠 3
 
3.7%
족구 3
 
3.7%
국학기공 3
 
3.7%
건강리듬 2
 
2.5%
배드민턴 1
 
1.2%
Other values (12) 12
14.8%

클럽명
Text

Distinct71
Distinct (%)93.4%
Missing0
Missing (%)0.0%
Memory size740.0 B
2024-04-21T11:16:58.413797image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length10
Median length8
Mean length4.5131579
Min length2

Characters and Unicode

Total characters343
Distinct characters144
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

Unique66 ?
Unique (%)86.8%

Sample

1st row누리아파트
2nd row무지개아파트
3rd row수정아파트
4th row무궁화아파트
5th row경성큰마을
ValueCountFrequency (%)
도안 4
 
4.9%
관저 3
 
3.7%
협회구장 2
 
2.4%
창대 2
 
2.4%
옥녀봉 2
 
2.4%
유등복지관 2
 
2.4%
도솔 2
 
2.4%
갈마 1
 
1.2%
둔산 1
 
1.2%
도마1동 1
 
1.2%
Other values (62) 62
75.6%
2024-04-21T11:16:59.035378image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
아 23
 
6.7%
파 22
 
6.4%
트 21
 
6.1%
마 11
 
3.2%
9
 
2.6%
도 8
 
2.3%
원 7
 
2.0%
관 6
 
1.7%
한 6
 
1.7%
안 5
 
1.5%
Other values (134) 225
65.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 322
93.9%
Space Separator 9
 
2.6%
Uppercase Letter 4
 
1.2%
Decimal Number 3
 
0.9%
Open Punctuation 2
 
0.6%
Close Punctuation 2
 
0.6%
Other Punctuation 1
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
아 23
 
7.1%
파 22
 
6.8%
트 21
 
6.5%
마 11
 
3.4%
도 8
 
2.5%
원 7
 
2.2%
관 6
 
1.9%
한 6
 
1.9%
안 5
 
1.6%
지 5
 
1.6%
Other values (124) 208
64.6%
Uppercase Letter
ValueCountFrequency (%)
Y 1
25.0%
M 1
25.0%
C 1
25.0%
A 1
25.0%
Decimal Number
ValueCountFrequency (%)
2 2
66.7%
1 1
33.3%
Space Separator
ValueCountFrequency (%)
9
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%
Other Punctuation
ValueCountFrequency (%)
@ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 322
93.9%
Common 17
 
5.0%
Latin 4
 
1.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
아 23
 
7.1%
파 22
 
6.8%
트 21
 
6.5%
마 11
 
3.4%
도 8
 
2.5%
원 7
 
2.2%
관 6
 
1.9%
한 6
 
1.9%
안 5
 
1.6%
지 5
 
1.6%
Other values (124) 208
64.6%
Common
ValueCountFrequency (%)
9
52.9%
2 2
 
11.8%
( 2
 
11.8%
) 2
 
11.8%
1 1
 
5.9%
@ 1
 
5.9%
Latin
ValueCountFrequency (%)
Y 1
25.0%
M 1
25.0%
C 1
25.0%
A 1
25.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 322
93.9%
ASCII 21
 
6.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
아 23
 
7.1%
파 22
 
6.8%
트 21
 
6.5%
마 11
 
3.4%
도 8
 
2.5%
원 7
 
2.2%
관 6
 
1.9%
한 6
 
1.9%
안 5
 
1.6%
지 5
 
1.6%
Other values (124) 208
64.6%
ASCII
ValueCountFrequency (%)
9
42.9%
2 2
 
9.5%
( 2
 
9.5%
) 2
 
9.5%
1 1
 
4.8%
@ 1
 
4.8%
Y 1
 
4.8%
M 1
 
4.8%
C 1
 
4.8%
A 1
 
4.8%

지번주소
Text

Distinct65
Distinct (%)85.5%
Missing0
Missing (%)0.0%
Memory size740.0 B
2024-04-21T11:16:59.298491image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length19
Median length18
Mean length16.736842
Min length13

Characters and Unicode

Total characters1272
Distinct characters42
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

Unique55 ?
Unique (%)72.4%

Sample

1st row대전광역시 서구 월평동 301
2nd row대전광역시 서구 월평동 300
3rd row대전광역시 서구 둔산동 909
4th row대전광역시 서구 월평동 223
5th row대전광역시 서구 갈마동 1418
ValueCountFrequency (%)
서구 76
25.0%
대전광역시 73
24.0%
둔산동 14
 
4.6%
월평동 10
 
3.3%
갈마동 10
 
3.3%
도안동 9
 
3.0%
도마동 8
 
2.6%
관저동 6
 
2.0%
탄방동 4
 
1.3%
만년동 4
 
1.3%
Other values (70) 90
29.6%
2024-04-21T11:16:59.676311image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
228
17.9%
대 76
 
6.0%
동 76
 
6.0%
구 76
 
6.0%
서 76
 
6.0%
전 76
 
6.0%
시 73
 
5.7%
역 73
 
5.7%
광 73
 
5.7%
1 57
 
4.5%
Other values (32) 388
30.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 749
58.9%
Decimal Number 271
 
21.3%
Space Separator 228
 
17.9%
Dash Punctuation 24
 
1.9%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
대 76
10.1%
동 76
10.1%
구 76
10.1%
서 76
10.1%
전 76
10.1%
시 73
9.7%
역 73
9.7%
광 73
9.7%
마 18
 
2.4%
도 17
 
2.3%
Other values (20) 115
15.4%
Decimal Number
ValueCountFrequency (%)
1 57
21.0%
3 45
16.6%
0 30
11.1%
2 28
10.3%
9 24
8.9%
4 21
 
7.7%
8 19
 
7.0%
5 18
 
6.6%
6 16
 
5.9%
7 13
 
4.8%
Space Separator
ValueCountFrequency (%)
228
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 24
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 749
58.9%
Common 523
41.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
대 76
10.1%
동 76
10.1%
구 76
10.1%
서 76
10.1%
전 76
10.1%
시 73
9.7%
역 73
9.7%
광 73
9.7%
마 18
 
2.4%
도 17
 
2.3%
Other values (20) 115
15.4%
Common
ValueCountFrequency (%)
228
43.6%
1 57
 
10.9%
3 45
 
8.6%
0 30
 
5.7%
2 28
 
5.4%
9 24
 
4.6%
- 24
 
4.6%
4 21
 
4.0%
8 19
 
3.6%
5 18
 
3.4%
Other values (2) 29
 
5.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 749
58.9%
ASCII 523
41.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
228
43.6%
1 57
 
10.9%
3 45
 
8.6%
0 30
 
5.7%
2 28
 
5.4%
9 24
 
4.6%
- 24
 
4.6%
4 21
 
4.0%
8 19
 
3.6%
5 18
 
3.4%
Other values (2) 29
 
5.5%
Hangul
ValueCountFrequency (%)
대 76
10.1%
동 76
10.1%
구 76
10.1%
서 76
10.1%
전 76
10.1%
시 73
9.7%
역 73
9.7%
광 73
9.7%
마 18
 
2.4%
도 17
 
2.3%
Other values (20) 115
15.4%

도로명주소
Text

MISSING 

Distinct61
Distinct (%)84.7%
Missing4
Missing (%)5.3%
Memory size740.0 B
2024-04-21T11:16:59.946935image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length22
Median length21
Mean length16.666667
Min length13

Characters and Unicode

Total characters1200
Distinct characters63
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

Unique51 ?
Unique (%)70.8%

Sample

1st row대전광역시 서구 청사로 70
2nd row대전광역시 서구 청사서로 11
3rd row대전광역시 서구 청사로 282
4th row대전광역시 서구 청사서로 70
5th row대전광역시 서구 대덕대로 150
ValueCountFrequency (%)
서구 72
25.0%
대전광역시 69
24.0%
청사로 6
 
2.1%
100 5
 
1.7%
도안북로 4
 
1.4%
158 3
 
1.0%
남선로 3
 
1.0%
66 3
 
1.0%
둔산북로 3
 
1.0%
대덕대로 3
 
1.0%
Other values (86) 117
40.6%
2024-04-21T11:17:00.366585image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
216
18.0%
대 90
 
7.5%
서 79
 
6.6%
구 72
 
6.0%
전 72
 
6.0%
역 70
 
5.8%
로 70
 
5.8%
광 69
 
5.8%
시 69
 
5.8%
1 52
 
4.3%
Other values (53) 341
28.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 766
63.8%
Space Separator 216
 
18.0%
Decimal Number 215
 
17.9%
Dash Punctuation 3
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
대 90
11.7%
서 79
10.3%
구 72
9.4%
전 72
9.4%
역 70
9.1%
로 70
9.1%
광 69
9.0%
시 69
9.0%
도 13
 
1.7%
길 10
 
1.3%
Other values (41) 152
19.8%
Decimal Number
ValueCountFrequency (%)
1 52
24.2%
2 28
13.0%
0 28
13.0%
5 22
10.2%
6 20
 
9.3%
8 15
 
7.0%
4 15
 
7.0%
3 14
 
6.5%
7 13
 
6.0%
9 8
 
3.7%
Space Separator
ValueCountFrequency (%)
216
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 766
63.8%
Common 434
36.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
대 90
11.7%
서 79
10.3%
구 72
9.4%
전 72
9.4%
역 70
9.1%
로 70
9.1%
광 69
9.0%
시 69
9.0%
도 13
 
1.7%
길 10
 
1.3%
Other values (41) 152
19.8%
Common
ValueCountFrequency (%)
216
49.8%
1 52
 
12.0%
2 28
 
6.5%
0 28
 
6.5%
5 22
 
5.1%
6 20
 
4.6%
8 15
 
3.5%
4 15
 
3.5%
3 14
 
3.2%
7 13
 
3.0%
Other values (2) 11
 
2.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 766
63.8%
ASCII 434
36.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
216
49.8%
1 52
 
12.0%
2 28
 
6.5%
0 28
 
6.5%
5 22
 
5.1%
6 20
 
4.6%
8 15
 
3.5%
4 15
 
3.5%
3 14
 
3.2%
7 13
 
3.0%
Other values (2) 11
 
2.5%
Hangul
ValueCountFrequency (%)
대 90
11.7%
서 79
10.3%
구 72
9.4%
전 72
9.4%
역 70
9.1%
로 70
9.1%
광 69
9.0%
시 69
9.0%
도 13
 
1.7%
길 10
 
1.3%
Other values (41) 152
19.8%

행정동코드
Real number (ℝ)

HIGH CORRELATION 

Distinct19
Distinct (%)25.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.0170587 × 109
Minimum3.017051 × 109
Maximum3.017066 × 109
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size816.0 B
2024-04-21T11:17:00.501634image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3.017051 × 109
5-th percentile3.017052 × 109
Q13.0170574 × 109
median3.0170588 × 109
Q33.0170597 × 109
95-th percentile3.017065 × 109
Maximum3.017066 × 109
Range15000
Interquartile range (IQR)2325

Descriptive statistics

Standard deviation3854.0721
Coefficient of variation (CV)1.277427 × 10-6
Kurtosis-0.49701481
Mean3.0170587 × 109
Median Absolute Deviation (MAD)1300
Skewness-0.14900591
Sum2.2929646 × 1011
Variance14853872
MonotonicityNot monotonic
2024-04-21T11:17:00.640989image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
3017059300 9
11.8%
3017064000 8
 
10.5%
3017058800 6
 
7.9%
3017058100 6
 
7.9%
3017052000 5
 
6.6%
3017063000 5
 
6.6%
3017059700 4
 
5.3%
3017055500 4
 
5.3%
3017058700 4
 
5.3%
3017065000 4
 
5.3%
Other values (9) 21
27.6%
ValueCountFrequency (%)
3017051000 2
 
2.6%
3017052000 5
6.6%
3017053000 3
3.9%
3017053500 3
3.9%
3017055500 4
5.3%
3017057000 2
 
2.6%
3017057500 3
3.9%
3017058100 6
7.9%
3017058200 4
5.3%
3017058700 4
5.3%
ValueCountFrequency (%)
3017066000 1
 
1.3%
3017065000 4
5.3%
3017064000 8
10.5%
3017063000 5
6.6%
3017059700 4
5.3%
3017059600 2
 
2.6%
3017059300 9
11.8%
3017059000 1
 
1.3%
3017058800 6
7.9%
3017058700 4
5.3%

행정동명
Categorical

HIGH CORRELATION 

Distinct19
Distinct (%)25.0%
Missing0
Missing (%)0.0%
Memory size740.0 B
도안동
9 
둔산2동
8 
월평3동
6 
갈마1동
6 
둔산1동
5 
Other values (14)
42 

Length

Max length4
Median length4
Mean length3.6052632
Min length2

Unique

Unique2 ?
Unique (%)2.6%

Sample

1st row월평3동
2nd row월평2동
3rd row둔산2동
4th row월평2동
5th row갈마2동

Common Values

ValueCountFrequency (%)
도안동 9
11.8%
둔산2동 8
 
10.5%
월평3동 6
 
7.9%
갈마1동 6
 
7.9%
둔산1동 5
 
6.6%
도마1동 5
 
6.6%
탄방동 4
 
5.3%
관저2동 4
 
5.3%
갈마2동 4
 
5.3%
만년동 4
 
5.3%
Other values (9) 21
27.6%

Length

2024-04-21T11:17:00.789723image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
도안동 9
11.8%
둔산2동 8
 
10.5%
월평3동 6
 
7.9%
갈마1동 6
 
7.9%
둔산1동 5
 
6.6%
도마1동 5
 
6.6%
갈마2동 4
 
5.3%
월평2동 4
 
5.3%
만년동 4
 
5.3%
관저2동 4
 
5.3%
Other values (9) 21
27.6%

법정동코드
Real number (ℝ)

HIGH CORRELATION 

Distinct13
Distinct (%)17.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.0170112 × 109
Minimum3.0170101 × 109
Maximum3.0170128 × 109
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size816.0 B
2024-04-21T11:17:00.908546image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3.0170101 × 109
5-th percentile3.0170103 × 109
Q13.017011 × 109
median3.0170112 × 109
Q33.0170114 × 109
95-th percentile3.0170119 × 109
Maximum3.0170128 × 109
Range2700
Interquartile range (IQR)450

Descriptive statistics

Standard deviation573.06042
Coefficient of variation (CV)1.8994309 × 10-7
Kurtosis1.9547283
Mean3.0170112 × 109
Median Absolute Deviation (MAD)250
Skewness0.70239736
Sum2.2929285 × 1011
Variance328398.25
MonotonicityNot monotonic
2024-04-21T11:17:01.026450image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%)
3017011200 14
18.4%
3017011300 10
13.2%
3017011100 10
13.2%
3017011500 9
11.8%
3017010300 8
10.5%
3017011600 6
7.9%
3017012800 4
 
5.3%
3017010600 4
 
5.3%
3017011000 3
 
3.9%
3017010400 3
 
3.9%
Other values (3) 5
 
6.6%
ValueCountFrequency (%)
3017010100 2
 
2.6%
3017010300 8
10.5%
3017010400 3
 
3.9%
3017010600 4
 
5.3%
3017010900 2
 
2.6%
3017011000 3
 
3.9%
3017011100 10
13.2%
3017011200 14
18.4%
3017011300 10
13.2%
3017011400 1
 
1.3%
ValueCountFrequency (%)
3017012800 4
 
5.3%
3017011600 6
7.9%
3017011500 9
11.8%
3017011400 1
 
1.3%
3017011300 10
13.2%
3017011200 14
18.4%
3017011100 10
13.2%
3017011000 3
 
3.9%
3017010900 2
 
2.6%
3017010600 4
 
5.3%

법정동명
Categorical

HIGH CORRELATION 

Distinct13
Distinct (%)17.1%
Missing0
Missing (%)0.0%
Memory size740.0 B
둔산동
14 
월평동
10 
갈마동
10 
도안동
9 
도마동
8 
Other values (8)
25 

Length

Max length4
Median length3
Mean length2.9736842
Min length2

Unique

Unique1 ?
Unique (%)1.3%

Sample

1st row월평동
2nd row월평동
3rd row둔산동
4th row월평동
5th row갈마동

Common Values

ValueCountFrequency (%)
둔산동 14
18.4%
월평동 10
13.2%
갈마동 10
13.2%
도안동 9
11.8%
도마동 8
10.5%
관저동 6
7.9%
만년동 4
 
5.3%
탄방동 4
 
5.3%
내동 3
 
3.9%
정림동 3
 
3.9%
Other values (3) 5
 
6.6%

Length

2024-04-21T11:17:01.156037image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
둔산동 14
18.4%
월평동 10
13.2%
갈마동 10
13.2%
도안동 9
11.8%
도마동 8
10.5%
관저동 6
7.9%
만년동 4
 
5.3%
탄방동 4
 
5.3%
내동 3
 
3.9%
정림동 3
 
3.9%
Other values (3) 5
 
6.6%

지도자명
Categorical

Distinct23
Distinct (%)30.3%
Missing0
Missing (%)0.0%
Memory size740.0 B
이**
17 
김**
14 
조**
5 
강**
5 
임**
4 
Other values (18)
31 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique11 ?
Unique (%)14.5%

Sample

1st row김**
2nd row강**
3rd row임**
4th row백**
5th row김**

Common Values

ValueCountFrequency (%)
이** 17
22.4%
김** 14
18.4%
조** 5
 
6.6%
강** 5
 
6.6%
임** 4
 
5.3%
백** 4
 
5.3%
박** 4
 
5.3%
최** 3
 
3.9%
장** 3
 
3.9%
배** 2
 
2.6%
Other values (13) 15
19.7%

Length

2024-04-21T11:17:01.287619image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
이 17
22.4%
김 14
18.4%
조 5
 
6.6%
강 5
 
6.6%
임 4
 
5.3%
백 4
 
5.3%
박 4
 
5.3%
최 3
 
3.9%
장 3
 
3.9%
서 2
 
2.6%
Other values (13) 15
19.7%

신청방법
Categorical

CONSTANT 

Distinct1
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Memory size740.0 B
서구체육회 문의(042-288-2236)
76 

Length

Max length22
Median length22
Mean length22
Min length22

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row서구체육회 문의(042-288-2236)
2nd row서구체육회 문의(042-288-2236)
3rd row서구체육회 문의(042-288-2236)
4th row서구체육회 문의(042-288-2236)
5th row서구체육회 문의(042-288-2236)

Common Values

ValueCountFrequency (%)
서구체육회 문의(042-288-2236) 76
100.0%

Length

2024-04-21T11:17:01.403133image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T11:17:01.504598image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
서구체육회 76
50.0%
문의(042-288-2236 76
50.0%

위도
Real number (ℝ)

HIGH CORRELATION 

Distinct64
Distinct (%)84.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean36.337555
Minimum36.292782
Maximum36.368653
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size816.0 B
2024-04-21T11:17:01.610941image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum36.292782
5-th percentile36.301527
Q136.315909
median36.344562
Q336.357107
95-th percentile36.364582
Maximum36.368653
Range0.07587081
Interquartile range (IQR)0.04119765

Descriptive statistics

Standard deviation0.022723179
Coefficient of variation (CV)0.00062533593
Kurtosis-1.2134665
Mean36.337555
Median Absolute Deviation (MAD)0.01573326
Skewness-0.43338751
Sum2761.6542
Variance0.00051634285
MonotonicityNot monotonic
2024-04-21T11:17:01.770673image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
36.34539716 3
 
3.9%
36.3261624 2
 
2.6%
36.343202 2
 
2.6%
36.35507078 2
 
2.6%
36.30380876 2
 
2.6%
36.30229145 2
 
2.6%
36.35602024 2
 
2.6%
36.33109186 2
 
2.6%
36.35499685 2
 
2.6%
36.36329729 2
 
2.6%
Other values (54) 55
72.4%
ValueCountFrequency (%)
36.29278174 1
1.3%
36.29831515 1
1.3%
36.29870304 1
1.3%
36.29923226 1
1.3%
36.30229145 2
2.6%
36.30241692 2
2.6%
36.30357398 1
1.3%
36.30380876 2
2.6%
36.30442866 1
1.3%
36.3053598 1
1.3%
ValueCountFrequency (%)
36.36865255 1
1.3%
36.36792741 1
1.3%
36.36757353 1
1.3%
36.36707786 1
1.3%
36.36374941 1
1.3%
36.36356466 1
1.3%
36.36329729 2
2.6%
36.36275913 1
1.3%
36.36217019 1
1.3%
36.36158188 1
1.3%

경도
Real number (ℝ)

HIGH CORRELATION 

Distinct64
Distinct (%)84.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean127.3716
Minimum127.3207
Maximum127.39903
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size816.0 B
2024-04-21T11:17:01.924028image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum127.3207
5-th percentile127.33733
Q1127.36482
median127.37465
Q3127.3842
95-th percentile127.39746
Maximum127.39903
Range0.0783285
Interquartile range (IQR)0.01938385

Descriptive statistics

Standard deviation0.018459783
Coefficient of variation (CV)0.00014492857
Kurtosis-0.19587884
Mean127.3716
Median Absolute Deviation (MAD)0.00996085
Skewness-0.68784562
Sum9680.2416
Variance0.00034076361
MonotonicityNot monotonic
2024-04-21T11:17:02.090013image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
127.3982541 3
 
3.9%
127.3744325 2
 
2.6%
127.3668629 2
 
2.6%
127.3838083 2
 
2.6%
127.3373271 2
 
2.6%
127.3633402 2
 
2.6%
127.3726821 2
 
2.6%
127.3463636 2
 
2.6%
127.392092 2
 
2.6%
127.3917063 2
 
2.6%
Other values (54) 55
72.4%
ValueCountFrequency (%)
127.3207047 1
1.3%
127.3328234 1
1.3%
127.3352512 1
1.3%
127.3373271 2
2.6%
127.3393881 1
1.3%
127.3429624 1
1.3%
127.3431733 1
1.3%
127.344635 1
1.3%
127.3451853 1
1.3%
127.3463636 2
2.6%
ValueCountFrequency (%)
127.3990332 1
 
1.3%
127.3982541 3
3.9%
127.397197 1
 
1.3%
127.3951356 1
 
1.3%
127.3927519 1
 
1.3%
127.3927413 1
 
1.3%
127.392092 2
2.6%
127.3918158 1
 
1.3%
127.3917063 2
2.6%
127.3915102 1
 
1.3%

데이터기준일자
Date

CONSTANT 

Distinct1
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Memory size740.0 B
Minimum2024-04-05 00:00:00
Maximum2024-04-05 00:00:00
2024-04-21T11:17:02.214216image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T11:17:02.303304image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Interactions

2024-04-21T11:16:56.194342image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T11:16:54.093100image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T11:16:54.641302image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T11:16:55.174843image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T11:16:55.619684image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T11:16:56.295980image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T11:16:54.235726image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T11:16:54.747381image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T11:16:55.262995image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T11:16:55.733786image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T11:16:56.392269image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T11:16:54.336299image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T11:16:54.862431image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T11:16:55.354532image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T11:16:55.845178image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T11:16:56.488820image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T11:16:54.430525image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T11:16:54.955073image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T11:16:55.432927image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T11:16:55.948286image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T11:16:56.590635image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T11:16:54.537785image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T11:16:55.070225image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T11:16:55.522582image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T11:16:56.069674image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-04-21T11:17:02.393304image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순번운영요일명운영시간운영종목명클럽명지번주소도로명주소행정동코드행정동명법정동코드법정동명지도자명위도경도
순번1.0000.6240.8450.8650.6650.7580.7200.1770.4880.3980.4520.0000.4890.296
운영요일명0.6241.0000.9720.9560.0000.0000.0000.0000.4510.0000.0000.1380.4460.627
운영시간0.8450.9721.0000.9890.0000.0000.0000.5950.5170.0000.0000.8460.2760.366
운영종목명0.8650.9560.9891.0000.0000.0000.0000.2840.5400.1710.3080.7890.0000.000
클럽명0.6650.0000.0000.0001.0000.9930.9980.9300.9550.9170.9820.5930.9000.000
지번주소0.7580.0000.0000.0000.9931.0001.0001.0001.0001.0001.0000.0001.0001.000
도로명주소0.7200.0000.0000.0000.9981.0001.0001.0001.0001.0001.0000.0001.0001.000
행정동코드0.1770.0000.5950.2840.9301.0001.0001.0001.0000.9430.9640.0000.6550.775
행정동명0.4880.4510.5170.5400.9551.0001.0001.0001.0001.0001.0000.0000.8950.873
법정동코드0.3980.0000.0000.1710.9171.0001.0000.9431.0001.0001.0000.4030.7590.654
법정동명0.4520.0000.0000.3080.9821.0001.0000.9641.0001.0001.0000.0000.8530.821
지도자명0.0000.1380.8460.7890.5930.0000.0000.0000.0000.4030.0001.0000.0000.711
위도0.4890.4460.2760.0000.9001.0001.0000.6550.8950.7590.8530.0001.0000.588
경도0.2960.6270.3660.0000.0001.0001.0000.7750.8730.6540.8210.7110.5881.000
2024-04-21T11:17:02.542322image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
행정동명지도자명법정동명운영종목명운영요일명
행정동명1.0000.0000.9510.1650.136
지도자명0.0001.0000.0000.3220.000
법정동명0.9510.0001.0000.0740.000
운영종목명0.1650.3220.0741.0000.669
운영요일명0.1360.0000.0000.6691.000
2024-04-21T11:17:02.657660image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순번행정동코드법정동코드위도경도운영요일명운영종목명행정동명법정동명지도자명
순번1.0000.1090.175-0.310-0.2510.2710.4930.1850.1990.000
행정동코드0.1091.0000.7900.4280.0720.0000.1680.9220.8270.000
법정동코드0.1750.7901.0000.220-0.3860.0000.1290.9090.9560.165
위도-0.3100.4280.2201.0000.5280.1660.0000.5680.5620.000
경도-0.2510.072-0.3860.5281.0000.2340.0000.5390.5210.322
운영요일명0.2710.0000.0000.1660.2341.0000.6690.1360.0000.000
운영종목명0.4930.1680.1290.0000.0000.6691.0000.1650.0740.322
행정동명0.1850.9220.9090.5680.5390.1360.1651.0000.9510.000
법정동명0.1990.8270.9560.5620.5210.0000.0740.9511.0000.000
지도자명0.0000.0000.1650.0000.3220.0000.3220.0000.0001.000

Missing values

2024-04-21T11:16:56.739173image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-04-21T11:16:56.957870image/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

순번운영요일명운영시간운영종목명클럽명지번주소도로명주소행정동코드행정동명법정동코드법정동명지도자명신청방법위도경도데이터기준일자
01월,수10:00~11:15탁구누리아파트대전광역시 서구 월평동 301대전광역시 서구 청사로 703017058800월평3동3017011300월평동김**서구체육회 문의(042-288-2236)36.358872127.3713542024-04-05
12월,수10:00~11:15탁구무지개아파트대전광역시 서구 월평동 300대전광역시 서구 청사서로 113017058700월평2동3017011300월평동강**서구체육회 문의(042-288-2236)36.358835127.3754942024-04-05
23월,수14:30~15:45탁구수정아파트대전광역시 서구 둔산동 909대전광역시 서구 청사로 2823017064000둔산2동3017011200둔산동임**서구체육회 문의(042-288-2236)36.35909127.3971972024-04-05
34화,목09:40~10:55탁구무궁화아파트대전광역시 서구 월평동 223대전광역시 서구 청사서로 703017058700월평2동3017011300월평동백**서구체육회 문의(042-288-2236)36.363749127.3779692024-04-05
45월,수10:00~11:15탁구경성큰마을대전광역시 서구 갈마동 1418대전광역시 서구 대덕대로 1503017058200갈마2동3017011100갈마동김**서구체육회 문의(042-288-2236)36.344689127.376872024-04-05
56화,목10:00~11:15탁구도솔대전광역시 서구 도마동 426대전광역시 서구 배재로197번길 413017053000도마2동3017010300도마동이**서구체육회 문의(042-288-2236)36.324894127.3681352024-04-05
67화,목10:00~11:15탁구꿈나무아파트대전광역시 서구 둔산동 908-1대전광역시 서구 청사로 2533017064000둔산2동3017011200둔산동박**서구체육회 문의(042-288-2236)36.360288127.3918162024-04-05
78화,목10:00~11:15탁구럭키한마루아파트대전광역시 서구 둔산동 1388대전광역시 서구 둔산북로 1603017063000둔산1동3017011200둔산동강**서구체육회 문의(042-288-2236)36.354997127.3920922024-04-05
89월,수09:45~11:00탁구갈마아파트(오전)대전광역시 서구 갈마동 390-22대전광역시 서구 신갈마로 953017058100갈마1동3017011100갈마동이**서구체육회 문의(042-288-2236)36.343202127.3668632024-04-05
910화,목14:00~15:15탁구갈마아파트(실버)대전광역시 서구 갈마동 390-22대전광역시 서구 신갈마로 953017058100갈마1동3017011100갈마동김**서구체육회 문의(042-288-2236)36.343202127.3668632024-04-05
순번운영요일명운영시간운영종목명클럽명지번주소도로명주소행정동코드행정동명법정동코드법정동명지도자명신청방법위도경도데이터기준일자
6667월,수10:00~12:30건강리듬YMCA신협대전광역시 서구 갈마동 1451대전광역시 서구 대덕대로168번길 943017058200갈마2동3017011100갈마동이**서구체육회 문의(042-288-2236)36.344435127.3792012024-04-05
6768수,금11:00~13:30건강리듬거북이대전광역시 서구 관저동 999-3대전광역시 서구 관저북로 243017059600관저1동3017011600관저동임**서구체육회 문의(042-288-2236)36.303809127.3373272024-04-05
6869월,화07:30~10:00우드볼협회구장대전광역시 서구 둔산동 1381<NA>3017063000둔산1동3017011200둔산동김**서구체육회 문의(042-288-2236)36.357118127.3885082024-04-05
6970월,금08:00~10:30플로어볼창대대전광역시 서구 복수동 333대전광역시 서구 혜천로 1003017051000복수동3017010100복수동이**서구체육회 문의(042-288-2236)36.302417127.3758382024-04-05
7071화,목09:40~10:55탁구도안 리슈빌아파트대전광역시 서구 도안동 1369대전광역시 서구 도안동로 1233017059300도안동3017011500도안동김**서구체육회 문의(042-288-2236)36.315545127.3470142024-04-05
7172월~금20:30~21:30생활체조도안대전광역시 서구 도안동 966대전광역시 서구 도안북로 1363017059300도안동3017011500도안동김**서구체육회 문의(042-288-2236)36.328914127.3429622024-04-05
7273화.수,목14:00~15:30근력 스트레칭행복한복지관대전광역시 서구 도안동 1575대전광역시 서구 계백로 1093-323017059300도안동3017011500도안동박**서구체육회 문의(042-288-2236)36.30536127.3451852024-04-05
7374화.목,금19:00~20:30야구옥녀봉대전광역시 서구 도안동 971대전광역시 서구 도안북로 1583017059300도안동3017011500도안동양**서구체육회 문의(042-288-2236)36.331092127.3463642024-04-05
7475화,일화 19:00~21:00,일 08:30~11:30배구시니어대전광역시 서구 도안동 1363대전광역시 서구 원도안로 2003017059300도안동3017011500도안동이**서구체육회 문의(042-288-2236)36.321508127.3446352024-04-05
7576월,수10:00~11:15탁구도안 예미지아파트대전광역시 서구 도안동 965대전광역시 서구 도안북로 1253017059300도안동3017011500도안동이**서구체육회 문의(042-288-2236)36.331011127.3431732024-04-05