Overview

Dataset statistics

Number of variables7
Number of observations310
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory17.4 KiB
Average record size in memory57.4 B

Variable types

Numeric1
Categorical3
Text2
DateTime1

Dataset

Description광산구 관내 공공 체육시설(축구장, 야구장, 테니스장, 족구장, 동네체육시설, 농구장, 게이트볼장 등) 현황 정보를 다음과 같이 제공합니다.
Author광주광역시 광산구
URLhttps://www.data.go.kr/data/15055919/fileData.do

Alerts

데이터기준일자 has constant value ""Constant
설치시설물 is highly overall correlated with 구분High correlation
구분 is highly overall correlated with 연번 and 1 other fieldsHigh correlation
연번 is highly overall correlated with 구분High correlation
설치시설물 is highly imbalanced (62.8%)Imbalance
연번 has unique valuesUnique

Reproduction

Analysis started2024-05-04 07:40:05.819655
Analysis finished2024-05-04 07:40:07.782287
Duration1.96 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct310
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean155.5
Minimum1
Maximum310
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.9 KiB
2024-05-04T07:40:08.124856image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile16.45
Q178.25
median155.5
Q3232.75
95-th percentile294.55
Maximum310
Range309
Interquartile range (IQR)154.5

Descriptive statistics

Standard deviation89.633513
Coefficient of variation (CV)0.57642131
Kurtosis-1.2
Mean155.5
Median Absolute Deviation (MAD)77.5
Skewness0
Sum48205
Variance8034.1667
MonotonicityStrictly increasing
2024-05-04T07:40:08.627487image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.3%
206 1
 
0.3%
213 1
 
0.3%
212 1
 
0.3%
211 1
 
0.3%
210 1
 
0.3%
209 1
 
0.3%
208 1
 
0.3%
207 1
 
0.3%
205 1
 
0.3%
Other values (300) 300
96.8%
ValueCountFrequency (%)
1 1
0.3%
2 1
0.3%
3 1
0.3%
4 1
0.3%
5 1
0.3%
6 1
0.3%
7 1
0.3%
8 1
0.3%
9 1
0.3%
10 1
0.3%
ValueCountFrequency (%)
310 1
0.3%
309 1
0.3%
308 1
0.3%
307 1
0.3%
306 1
0.3%
305 1
0.3%
304 1
0.3%
303 1
0.3%
302 1
0.3%
301 1
0.3%

구분
Categorical

HIGH CORRELATION 

Distinct2
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size2.6 KiB
동네체육시설
243 
종목별체육시설
67 

Length

Max length7
Median length6
Mean length6.216129
Min length6

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
동네체육시설 243
78.4%
종목별체육시설 67
 
21.6%

Length

2024-05-04T07:40:09.185202image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-04T07:40:09.600564image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
동네체육시설 243
78.4%
종목별체육시설 67
 
21.6%

시설명
Text

Distinct278
Distinct (%)89.7%
Missing0
Missing (%)0.0%
Memory size2.6 KiB
2024-05-04T07:40:10.539435image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length30
Median length17
Mean length13.187097
Min length3

Characters and Unicode

Total characters4088
Distinct characters238
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

Unique256 ?
Unique (%)82.6%

Sample

1st row평동대교 하부 족구장
2nd row발산교 하부 족구장
3rd row우산동 족구장
4th row첨단강변공원 족구장
5th row신가대교 하부 제1 족구장
ValueCountFrequency (%)
동네체육시설 223
29.5%
게이트볼장 16
 
2.1%
족구장 11
 
1.5%
신창동 9
 
1.2%
삼도 9
 
1.2%
평동 9
 
1.2%
축구장 9
 
1.2%
농구장 9
 
1.2%
우산동 8
 
1.1%
옆 8
 
1.1%
Other values (313) 445
58.9%
2024-05-04T07:40:12.103173image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
448
 
11.0%
동 382
 
9.3%
체 245
 
6.0%
육 245
 
6.0%
시 243
 
5.9%
설 239
 
5.8%
네 233
 
5.7%
을 78
 
1.9%
장 77
 
1.9%
마 77
 
1.9%
Other values (228) 1821
44.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3489
85.3%
Space Separator 448
 
11.0%
Decimal Number 90
 
2.2%
Open Punctuation 19
 
0.5%
Close Punctuation 19
 
0.5%
Uppercase Letter 13
 
0.3%
Dash Punctuation 6
 
0.1%
Other Punctuation 4
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 382
 
10.9%
체 245
 
7.0%
육 245
 
7.0%
시 243
 
7.0%
설 239
 
6.9%
네 233
 
6.7%
을 78
 
2.2%
장 77
 
2.2%
마 77
 
2.2%
공 69
 
2.0%
Other values (209) 1601
45.9%
Decimal Number
ValueCountFrequency (%)
1 29
32.2%
2 22
24.4%
3 7
 
7.8%
7 7
 
7.8%
6 6
 
6.7%
5 6
 
6.7%
9 5
 
5.6%
4 4
 
4.4%
8 2
 
2.2%
0 2
 
2.2%
Uppercase Letter
ValueCountFrequency (%)
C 6
46.2%
I 6
46.2%
A 1
 
7.7%
Other Punctuation
ValueCountFrequency (%)
@ 3
75.0%
, 1
 
25.0%
Space Separator
ValueCountFrequency (%)
448
100.0%
Open Punctuation
ValueCountFrequency (%)
( 19
100.0%
Close Punctuation
ValueCountFrequency (%)
) 19
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 6
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3489
85.3%
Common 586
 
14.3%
Latin 13
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 382
 
10.9%
체 245
 
7.0%
육 245
 
7.0%
시 243
 
7.0%
설 239
 
6.9%
네 233
 
6.7%
을 78
 
2.2%
장 77
 
2.2%
마 77
 
2.2%
공 69
 
2.0%
Other values (209) 1601
45.9%
Common
ValueCountFrequency (%)
448
76.5%
1 29
 
4.9%
2 22
 
3.8%
( 19
 
3.2%
) 19
 
3.2%
3 7
 
1.2%
7 7
 
1.2%
6 6
 
1.0%
- 6
 
1.0%
5 6
 
1.0%
Other values (6) 17
 
2.9%
Latin
ValueCountFrequency (%)
C 6
46.2%
I 6
46.2%
A 1
 
7.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3489
85.3%
ASCII 599
 
14.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
448
74.8%
1 29
 
4.8%
2 22
 
3.7%
( 19
 
3.2%
) 19
 
3.2%
3 7
 
1.2%
7 7
 
1.2%
6 6
 
1.0%
C 6
 
1.0%
- 6
 
1.0%
Other values (9) 30
 
5.0%
Hangul
ValueCountFrequency (%)
동 382
 
10.9%
체 245
 
7.0%
육 245
 
7.0%
시 243
 
7.0%
설 239
 
6.9%
네 233
 
6.7%
을 78
 
2.2%
장 77
 
2.2%
마 77
 
2.2%
공 69
 
2.0%
Other values (209) 1601
45.9%

주소
Text

Distinct263
Distinct (%)84.8%
Missing0
Missing (%)0.0%
Memory size2.6 KiB
2024-05-04T07:40:12.826475image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length39
Median length38
Mean length20.516129
Min length16

Characters and Unicode

Total characters6360
Distinct characters151
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique229 ?
Unique (%)73.9%

Sample

1st row광주광역시 광산구 선암동 212-8
2nd row광주광역시 광산구 오선동 587
3rd row광주광역시 광산구 우산동 720-1 (무진로하부)
4th row광주광역시 광산구 산월동 879
5th row광주광역시 광산구 신가동 595-40
ValueCountFrequency (%)
광주광역시 310
24.0%
광산구 310
24.0%
신창동 17
 
1.3%
소촌동 15
 
1.2%
송정동 12
 
0.9%
산월동 12
 
0.9%
월곡동 12
 
0.9%
우산동 12
 
0.9%
신가동 11
 
0.9%
월계동 10
 
0.8%
Other values (389) 572
44.2%
2024-05-04T07:40:14.324756image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
984
15.5%
광 931
14.6%
산 395
 
6.2%
주 313
 
4.9%
시 312
 
4.9%
동 311
 
4.9%
구 311
 
4.9%
역 310
 
4.9%
1 279
 
4.4%
- 221
 
3.5%
Other values (141) 1993
31.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3760
59.1%
Decimal Number 1266
 
19.9%
Space Separator 984
 
15.5%
Dash Punctuation 221
 
3.5%
Open Punctuation 60
 
0.9%
Close Punctuation 60
 
0.9%
Other Punctuation 9
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
광 931
24.8%
산 395
10.5%
주 313
 
8.3%
시 312
 
8.3%
동 311
 
8.3%
구 311
 
8.3%
역 310
 
8.2%
신 46
 
1.2%
월 42
 
1.1%
정 36
 
1.0%
Other values (125) 753
20.0%
Decimal Number
ValueCountFrequency (%)
1 279
22.0%
2 152
12.0%
3 127
10.0%
6 121
9.6%
5 118
9.3%
4 110
 
8.7%
7 103
 
8.1%
8 91
 
7.2%
0 90
 
7.1%
9 75
 
5.9%
Other Punctuation
ValueCountFrequency (%)
, 7
77.8%
@ 2
 
22.2%
Space Separator
ValueCountFrequency (%)
984
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 221
100.0%
Open Punctuation
ValueCountFrequency (%)
( 60
100.0%
Close Punctuation
ValueCountFrequency (%)
) 60
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3760
59.1%
Common 2600
40.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
광 931
24.8%
산 395
10.5%
주 313
 
8.3%
시 312
 
8.3%
동 311
 
8.3%
구 311
 
8.3%
역 310
 
8.2%
신 46
 
1.2%
월 42
 
1.1%
정 36
 
1.0%
Other values (125) 753
20.0%
Common
ValueCountFrequency (%)
984
37.8%
1 279
 
10.7%
- 221
 
8.5%
2 152
 
5.8%
3 127
 
4.9%
6 121
 
4.7%
5 118
 
4.5%
4 110
 
4.2%
7 103
 
4.0%
8 91
 
3.5%
Other values (6) 294
 
11.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3760
59.1%
ASCII 2600
40.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
984
37.8%
1 279
 
10.7%
- 221
 
8.5%
2 152
 
5.8%
3 127
 
4.9%
6 121
 
4.7%
5 118
 
4.5%
4 110
 
4.2%
7 103
 
4.0%
8 91
 
3.5%
Other values (6) 294
 
11.3%
Hangul
ValueCountFrequency (%)
광 931
24.8%
산 395
10.5%
주 313
 
8.3%
시 312
 
8.3%
동 311
 
8.3%
구 311
 
8.3%
역 310
 
8.2%
신 46
 
1.2%
월 42
 
1.1%
정 36
 
1.0%
Other values (125) 753
20.0%

설치시설물
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct15
Distinct (%)4.8%
Missing0
Missing (%)0.0%
Memory size2.6 KiB
동네체육시설
243 
게이트볼장
 
16
족구장
 
11
축구장
 
9
농구장
 
9
Other values (10)
 
22

Length

Max length8
Median length6
Mean length5.5903226
Min length3

Unique

Unique4 ?
Unique (%)1.3%

Sample

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

Common Values

ValueCountFrequency (%)
동네체육시설 243
78.4%
게이트볼장 16
 
5.2%
족구장 11
 
3.5%
축구장 9
 
2.9%
농구장 9
 
2.9%
테니스장 5
 
1.6%
배드민턴장 4
 
1.3%
종목별체육시설 3
 
1.0%
그라운드골프장 2
 
0.6%
야구장 2
 
0.6%
Other values (5) 6
 
1.9%

Length

2024-05-04T07:40:14.875747image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
동네체육시설 243
78.4%
게이트볼장 16
 
5.2%
족구장 11
 
3.5%
축구장 9
 
2.9%
농구장 9
 
2.9%
테니스장 5
 
1.6%
배드민턴장 4
 
1.3%
종목별체육시설 3
 
1.0%
그라운드골프장 2
 
0.6%
야구장 2
 
0.6%
Other values (5) 6
 
1.9%

등록일자
Date

Distinct135
Distinct (%)43.5%
Missing0
Missing (%)0.0%
Memory size2.6 KiB
Minimum1990-10-22 00:00:00
Maximum2023-01-02 00:00:00
2024-05-04T07:40:15.473356image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-04T07:40:16.098631image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

데이터기준일자
Categorical

CONSTANT 

Distinct1
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size2.6 KiB
2024-05-02
310 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2024-05-02
2nd row2024-05-02
3rd row2024-05-02
4th row2024-05-02
5th row2024-05-02

Common Values

ValueCountFrequency (%)
2024-05-02 310
100.0%

Length

2024-05-04T07:40:16.612420image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-04T07:40:17.046267image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2024-05-02 310
100.0%

Interactions

2024-05-04T07:40:06.783813image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-05-04T07:40:17.315938image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번구분설치시설물
연번1.0000.9980.768
구분0.9981.0001.000
설치시설물0.7681.0001.000
2024-05-04T07:40:17.717977image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
설치시설물구분
설치시설물1.0000.979
구분0.9791.000
2024-05-04T07:40:18.154009image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번구분설치시설물
연번1.0000.9450.409
구분0.9451.0000.979
설치시설물0.4090.9791.000

Missing values

2024-05-04T07:40:07.207474image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-05-04T07:40:07.627772image/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

연번구분시설명주소설치시설물등록일자데이터기준일자
01종목별체육시설평동대교 하부 족구장광주광역시 광산구 선암동 212-8족구장2020-11-162024-05-02
12종목별체육시설발산교 하부 족구장광주광역시 광산구 오선동 587족구장2020-05-202024-05-02
23종목별체육시설우산동 족구장광주광역시 광산구 우산동 720-1 (무진로하부)족구장2006-05-082024-05-02
34종목별체육시설첨단강변공원 족구장광주광역시 광산구 산월동 879족구장2008-09-082024-05-02
45종목별체육시설신가대교 하부 제1 족구장광주광역시 광산구 신가동 595-40족구장2009-01-012024-05-02
56종목별체육시설신가대교 하부 제2 족구장광주광역시 광산구 신가동 594-34족구장2012-06-102024-05-02
67종목별체육시설임곡교 족구장광주광역시 광산구 선동 697-3족구장2012-07-292024-05-02
78종목별체육시설풍영정근린공원 족구장광주광역시 광산구 운남동 792-7족구장2010-01-012024-05-02
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