Overview

Dataset statistics

Number of variables23
Number of observations78
Missing cells769
Missing cells (%)42.9%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory15.4 KiB
Average record size in memory202.7 B

Variable types

Categorical5
Text2
Numeric10
Unsupported6

Alerts

집계년도 has constant value ""Constant
준공연도 has 4 (5.1%) missing valuesMissing
면적(㎡) has 18 (23.1%) missing valuesMissing
1-3루길이(m) has 17 (21.8%) missing valuesMissing
중앙길이(m) has 10 (12.8%) missing valuesMissing
부지면적(㎡) has 9 (11.5%) missing valuesMissing
건축면적(㎡) has 54 (69.2%) missing valuesMissing
관람석좌석수 has 57 (73.1%) missing valuesMissing
연면적(㎡) has 58 (74.4%) missing valuesMissing
건설사업비(백만원) has 20 (25.6%) missing valuesMissing
수용인원수(명) has 54 (69.2%) missing valuesMissing
비고사항 has 78 (100.0%) missing valuesMissing
소재지우편번호 has 78 (100.0%) missing valuesMissing
소재지지번주소 has 78 (100.0%) missing valuesMissing
소재지도로명주소 has 78 (100.0%) missing valuesMissing
WGS84위도 has 78 (100.0%) missing valuesMissing
WGS84경도 has 78 (100.0%) missing valuesMissing
비고사항 is an unsupported type, check if it needs cleaning or further analysisUnsupported
소재지우편번호 is an unsupported type, check if it needs cleaning or further analysisUnsupported
소재지지번주소 is an unsupported type, check if it needs cleaning or further analysisUnsupported
소재지도로명주소 is an unsupported type, check if it needs cleaning or further analysisUnsupported
WGS84위도 is an unsupported type, check if it needs cleaning or further analysisUnsupported
WGS84경도 is an unsupported type, check if it needs cleaning or further analysisUnsupported
면적(㎡) has 1 (1.3%) zerosZeros
건축면적(㎡) has 7 (9.0%) zerosZeros
관람석좌석수 has 1 (1.3%) zerosZeros
연면적(㎡) has 4 (5.1%) zerosZeros
수용인원수(명) has 1 (1.3%) zerosZeros

Reproduction

Analysis started2023-12-22 21:33:20.642099
Analysis finished2023-12-22 21:33:21.821396
Duration1.18 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

집계년도
Categorical

CONSTANT 

Distinct1
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Memory size756.0 B
2021
78 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2021
2nd row2021
3rd row2021
4th row2021
5th row2021

Common Values

ValueCountFrequency (%)
2021 78
100.0%

Length

2023-12-22T21:33:22.239849image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-22T21:33:22.958819image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2021 78
100.0%

시군명
Categorical

Distinct27
Distinct (%)34.6%
Missing0
Missing (%)0.0%
Memory size756.0 B
화성시
6 
안산시
6 
남양주시
6 
양평군
 
4
평택시
 
4
Other values (22)
52 

Length

Max length4
Median length3
Mean length3.1282051
Min length3

Unique

Unique6 ?
Unique (%)7.7%

Sample

1st row가평군
2nd row가평군
3rd row경기도
4th row고양시
5th row고양시

Common Values

ValueCountFrequency (%)
화성시 6
 
7.7%
안산시 6
 
7.7%
남양주시 6
 
7.7%
양평군 4
 
5.1%
평택시 4
 
5.1%
구리시 4
 
5.1%
성남시 4
 
5.1%
용인시 4
 
5.1%
여주시 4
 
5.1%
양주시 4
 
5.1%
Other values (17) 32
41.0%

Length

2023-12-22T21:33:23.667395image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
화성시 6
 
7.7%
남양주시 6
 
7.7%
안산시 6
 
7.7%
양평군 4
 
5.1%
평택시 4
 
5.1%
구리시 4
 
5.1%
성남시 4
 
5.1%
용인시 4
 
5.1%
여주시 4
 
5.1%
양주시 4
 
5.1%
Other values (17) 32
41.0%

시설명
Text

Distinct77
Distinct (%)98.7%
Missing0
Missing (%)0.0%
Memory size756.0 B
2023-12-22T21:33:24.622294image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length34
Median length16
Mean length9.0128205
Min length4

Characters and Unicode

Total characters703
Distinct characters144
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

Unique76 ?
Unique (%)97.4%

Sample

1st row설악야구장
2nd row가평야구장
3rd row팀업캠퍼스 야구장
4th row고양 국가대표 야구연습장
5th row고양대덕야구장
ValueCountFrequency (%)
야구장 27
 
20.8%
리틀야구장 5
 
3.8%
시민공원 3
 
2.3%
양평군 3
 
2.3%
한강 3
 
2.3%
체육공원 3
 
2.3%
백석생활체육공원 2
 
1.5%
야구장(3 2
 
1.5%
야구장(1 2
 
1.5%
리틀야구연습장 2
 
1.5%
Other values (77) 78
60.0%
2023-12-22T21:33:26.757010image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
장 86
 
12.2%
구 81
 
11.5%
야 73
 
10.4%
52
 
7.4%
시 16
 
2.3%
원 16
 
2.3%
공 15
 
2.1%
리 14
 
2.0%
양 14
 
2.0%
체 13
 
1.8%
Other values (134) 323
45.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 615
87.5%
Space Separator 52
 
7.4%
Close Punctuation 12
 
1.7%
Open Punctuation 12
 
1.7%
Decimal Number 12
 
1.7%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
장 86
 
14.0%
구 81
 
13.2%
야 73
 
11.9%
시 16
 
2.6%
원 16
 
2.6%
공 15
 
2.4%
리 14
 
2.3%
양 14
 
2.3%
체 13
 
2.1%
육 13
 
2.1%
Other values (128) 274
44.6%
Decimal Number
ValueCountFrequency (%)
1 5
41.7%
2 4
33.3%
3 3
25.0%
Space Separator
ValueCountFrequency (%)
52
100.0%
Close Punctuation
ValueCountFrequency (%)
) 12
100.0%
Open Punctuation
ValueCountFrequency (%)
( 12
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 615
87.5%
Common 88
 
12.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
장 86
 
14.0%
구 81
 
13.2%
야 73
 
11.9%
시 16
 
2.6%
원 16
 
2.6%
공 15
 
2.4%
리 14
 
2.3%
양 14
 
2.3%
체 13
 
2.1%
육 13
 
2.1%
Other values (128) 274
44.6%
Common
ValueCountFrequency (%)
52
59.1%
) 12
 
13.6%
( 12
 
13.6%
1 5
 
5.7%
2 4
 
4.5%
3 3
 
3.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 615
87.5%
ASCII 88
 
12.5%

Most frequent character per block

Hangul
ValueCountFrequency (%)
장 86
 
14.0%
구 81
 
13.2%
야 73
 
11.9%
시 16
 
2.6%
원 16
 
2.6%
공 15
 
2.4%
리 14
 
2.3%
양 14
 
2.3%
체 13
 
2.1%
육 13
 
2.1%
Other values (128) 274
44.6%
ASCII
ValueCountFrequency (%)
52
59.1%
) 12
 
13.6%
( 12
 
13.6%
1 5
 
5.7%
2 4
 
4.5%
3 3
 
3.4%

준공연도
Real number (ℝ)

MISSING 

Distinct21
Distinct (%)28.4%
Missing4
Missing (%)5.1%
Infinite0
Infinite (%)0.0%
Mean2011.8514
Minimum1988
Maximum2020
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size834.0 B
2023-12-22T21:33:27.506351image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1988
5-th percentile1999.65
Q12010.25
median2013
Q32015.75
95-th percentile2019
Maximum2020
Range32
Interquartile range (IQR)5.5

Descriptive statistics

Standard deviation5.735452
Coefficient of variation (CV)0.0028508329
Kurtosis3.5938234
Mean2011.8514
Median Absolute Deviation (MAD)3
Skewness-1.5981197
Sum148877
Variance32.895409
MonotonicityNot monotonic
2023-12-22T21:33:28.167995image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
2014 10
12.8%
2013 10
12.8%
2011 7
9.0%
2016 6
 
7.7%
2012 6
 
7.7%
2017 4
 
5.1%
2018 4
 
5.1%
2019 4
 
5.1%
2004 3
 
3.8%
2010 3
 
3.8%
Other values (11) 17
21.8%
(Missing) 4
 
5.1%
ValueCountFrequency (%)
1988 1
 
1.3%
1998 1
 
1.3%
1999 2
2.6%
2000 1
 
1.3%
2001 1
 
1.3%
2004 3
3.8%
2006 2
2.6%
2007 1
 
1.3%
2008 1
 
1.3%
2009 3
3.8%
ValueCountFrequency (%)
2020 1
 
1.3%
2019 4
 
5.1%
2018 4
 
5.1%
2017 4
 
5.1%
2016 6
7.7%
2015 3
 
3.8%
2014 10
12.8%
2013 10
12.8%
2012 6
7.7%
2011 7
9.0%

소유기관명
Categorical

Distinct27
Distinct (%)34.6%
Missing0
Missing (%)0.0%
Memory size756.0 B
화성시
6 
안산시
6 
남양주시
6 
양평군
 
4
평택시
 
4
Other values (22)
52 

Length

Max length4
Median length3
Mean length3.1282051
Min length3

Unique

Unique6 ?
Unique (%)7.7%

Sample

1st row가평군
2nd row가평군
3rd row경기도
4th row고양시
5th row고양시

Common Values

ValueCountFrequency (%)
화성시 6
 
7.7%
안산시 6
 
7.7%
남양주시 6
 
7.7%
양평군 4
 
5.1%
평택시 4
 
5.1%
구리시 4
 
5.1%
성남시 4
 
5.1%
용인시 4
 
5.1%
여주시 4
 
5.1%
양주시 4
 
5.1%
Other values (17) 32
41.0%

Length

2023-12-22T21:33:29.006439image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
화성시 6
 
7.7%
남양주시 6
 
7.7%
안산시 6
 
7.7%
양평군 4
 
5.1%
평택시 4
 
5.1%
구리시 4
 
5.1%
성남시 4
 
5.1%
용인시 4
 
5.1%
여주시 4
 
5.1%
양주시 4
 
5.1%
Other values (17) 32
41.0%

관리주체명
Text

Distinct42
Distinct (%)53.8%
Missing0
Missing (%)0.0%
Memory size756.0 B
2023-12-22T21:33:30.526288image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length17
Median length15
Mean length7.7051282
Min length3

Characters and Unicode

Total characters601
Distinct characters105
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique24 ?
Unique (%)30.8%

Sample

1st row시설관리공단
2nd row시설관리공단
3rd row민간위탁(SCG스포츠아카데미)
4th row민간위탁(키움히어로즈)
5th row고양도시관리공사
ValueCountFrequency (%)
위탁(안산도시공사 6
 
7.1%
화성시 4
 
4.7%
양평군 4
 
4.7%
양주도시공사 4
 
4.7%
시설관리공단 4
 
4.7%
성남도시개발공사 4
 
4.7%
남양주도시공사 3
 
3.5%
남양주시 3
 
3.5%
여주도시관리공단 3
 
3.5%
위탁(구리도시공사 3
 
3.5%
Other values (37) 47
55.3%
2023-12-22T21:33:33.287804image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
시 72
 
12.0%
공 38
 
6.3%
도 34
 
5.7%
사 31
 
5.2%
( 27
 
4.5%
) 27
 
4.5%
위 21
 
3.5%
탁 21
 
3.5%
양 17
 
2.8%
주 16
 
2.7%
Other values (95) 297
49.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 523
87.0%
Open Punctuation 27
 
4.5%
Close Punctuation 27
 
4.5%
Uppercase Letter 9
 
1.5%
Space Separator 7
 
1.2%
Lowercase Letter 6
 
1.0%
Other Punctuation 2
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
시 72
 
13.8%
공 38
 
7.3%
도 34
 
6.5%
사 31
 
5.9%
위 21
 
4.0%
탁 21
 
4.0%
양 17
 
3.3%
주 16
 
3.1%
리 14
 
2.7%
성 11
 
2.1%
Other values (78) 248
47.4%
Uppercase Letter
ValueCountFrequency (%)
C 2
22.2%
G 1
11.1%
M 1
11.1%
Y 1
11.1%
A 1
11.1%
S 1
11.1%
K 1
11.1%
T 1
11.1%
Lowercase Letter
ValueCountFrequency (%)
s 2
33.3%
r 1
16.7%
p 1
16.7%
o 1
16.7%
t 1
16.7%
Open Punctuation
ValueCountFrequency (%)
( 27
100.0%
Close Punctuation
ValueCountFrequency (%)
) 27
100.0%
Space Separator
ValueCountFrequency (%)
7
100.0%
Other Punctuation
ValueCountFrequency (%)
· 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 523
87.0%
Common 63
 
10.5%
Latin 15
 
2.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
시 72
 
13.8%
공 38
 
7.3%
도 34
 
6.5%
사 31
 
5.9%
위 21
 
4.0%
탁 21
 
4.0%
양 17
 
3.3%
주 16
 
3.1%
리 14
 
2.7%
성 11
 
2.1%
Other values (78) 248
47.4%
Latin
ValueCountFrequency (%)
s 2
13.3%
C 2
13.3%
r 1
 
6.7%
G 1
 
6.7%
M 1
 
6.7%
Y 1
 
6.7%
A 1
 
6.7%
S 1
 
6.7%
K 1
 
6.7%
T 1
 
6.7%
Other values (3) 3
20.0%
Common
ValueCountFrequency (%)
( 27
42.9%
) 27
42.9%
7
 
11.1%
· 2
 
3.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 523
87.0%
ASCII 76
 
12.6%
None 2
 
0.3%

Most frequent character per block

Hangul
ValueCountFrequency (%)
시 72
 
13.8%
공 38
 
7.3%
도 34
 
6.5%
사 31
 
5.9%
위 21
 
4.0%
탁 21
 
4.0%
양 17
 
3.3%
주 16
 
3.1%
리 14
 
2.7%
성 11
 
2.1%
Other values (78) 248
47.4%
ASCII
ValueCountFrequency (%)
( 27
35.5%
) 27
35.5%
7
 
9.2%
s 2
 
2.6%
C 2
 
2.6%
r 1
 
1.3%
G 1
 
1.3%
M 1
 
1.3%
Y 1
 
1.3%
A 1
 
1.3%
Other values (6) 6
 
7.9%
None
ValueCountFrequency (%)
· 2
100.0%

내야바닥재료명
Categorical

Distinct8
Distinct (%)10.3%
Missing0
Missing (%)0.0%
Memory size756.0 B
인조잔디
46 
마사토
19 
천연잔디
 
3
토사
 
3
<NA>
 
2
Other values (3)
5 

Length

Max length8
Median length4
Mean length3.7692308
Min length2

Unique

Unique1 ?
Unique (%)1.3%

Sample

1st row인조잔디
2nd row인조잔디
3rd row인조잔디
4th row인조잔디
5th row천연잔디

Common Values

ValueCountFrequency (%)
인조잔디 46
59.0%
마사토 19
24.4%
천연잔디 3
 
3.8%
토사 3
 
3.8%
<NA> 2
 
2.6%
인조잔디,앙투카 2
 
2.6%
클레이 2
 
2.6%
슈퍼클레이 1
 
1.3%

Length

2023-12-22T21:33:34.121822image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-22T21:33:34.912776image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
인조잔디 46
59.0%
마사토 19
24.4%
천연잔디 3
 
3.8%
토사 3
 
3.8%
na 2
 
2.6%
인조잔디,앙투카 2
 
2.6%
클레이 2
 
2.6%
슈퍼클레이 1
 
1.3%

외야바닥재료명
Categorical

Distinct7
Distinct (%)9.0%
Missing0
Missing (%)0.0%
Memory size756.0 B
인조잔디
42 
마사토
24 
<NA>
 
3
천연잔디
 
3
토사
 
3
Other values (2)
 
3

Length

Max length7
Median length4
Mean length3.6282051
Min length2

Unique

Unique1 ?
Unique (%)1.3%

Sample

1st row인조잔디
2nd row인조잔디
3rd row인조잔디
4th row인조잔디
5th row마사토

Common Values

ValueCountFrequency (%)
인조잔디 42
53.8%
마사토 24
30.8%
<NA> 3
 
3.8%
천연잔디 3
 
3.8%
토사 3
 
3.8%
클레이 2
 
2.6%
클레이인조잔디 1
 
1.3%

Length

2023-12-22T21:33:36.081424image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-22T21:33:36.645137image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
인조잔디 42
53.8%
마사토 24
30.8%
na 3
 
3.8%
천연잔디 3
 
3.8%
토사 3
 
3.8%
클레이 2
 
2.6%
클레이인조잔디 1
 
1.3%

면적(㎡)
Real number (ℝ)

MISSING  ZEROS 

Distinct50
Distinct (%)83.3%
Missing18
Missing (%)23.1%
Infinite0
Infinite (%)0.0%
Mean10306.893
Minimum0
Maximum35081
Zeros1
Zeros (%)1.3%
Negative0
Negative (%)0.0%
Memory size834.0 B
2023-12-22T21:33:37.741108image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile3318
Q18184.5
median9791.5
Q311638.75
95-th percentile20336.5
Maximum35081
Range35081
Interquartile range (IQR)3454.25

Descriptive statistics

Standard deviation5536.5173
Coefficient of variation (CV)0.53716645
Kurtosis6.0445574
Mean10306.893
Median Absolute Deviation (MAD)1886
Skewness1.6851938
Sum618413.6
Variance30653024
MonotonicityNot monotonic
2023-12-22T21:33:39.062713image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
10000.0 6
 
7.7%
9500.0 3
 
3.8%
3318.0 2
 
2.6%
9726.0 2
 
2.6%
13000.0 2
 
2.6%
9800.0 1
 
1.3%
10500.0 1
 
1.3%
9576.0 1
 
1.3%
4313.0 1
 
1.3%
10866.0 1
 
1.3%
Other values (40) 40
51.3%
(Missing) 18
23.1%
ValueCountFrequency (%)
0.0 1
1.3%
1976.0 1
1.3%
3318.0 2
2.6%
3380.0 1
1.3%
3857.0 1
1.3%
3940.0 1
1.3%
4290.0 1
1.3%
4313.0 1
1.3%
4640.0 1
1.3%
4675.0 1
1.3%
ValueCountFrequency (%)
35081.0 1
1.3%
22498.0 1
1.3%
20688.0 1
1.3%
20318.0 1
1.3%
18140.0 1
1.3%
16960.0 1
1.3%
15885.0 1
1.3%
15716.0 1
1.3%
15600.0 1
1.3%
14000.0 1
1.3%

1-3루길이(m)
Real number (ℝ)

MISSING 

Distinct26
Distinct (%)42.6%
Missing17
Missing (%)21.8%
Infinite0
Infinite (%)0.0%
Mean96.586885
Minimum26
Maximum800
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size834.0 B
2023-12-22T21:33:40.554257image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum26
5-th percentile55
Q182
median90
Q395
95-th percentile100
Maximum800
Range774
Interquartile range (IQR)13

Descriptive statistics

Standard deviation92.922246
Coefficient of variation (CV)0.96205863
Kurtosis57.342612
Mean96.586885
Median Absolute Deviation (MAD)5
Skewness7.4529161
Sum5891.8
Variance8634.5438
MonotonicityNot monotonic
2023-12-22T21:33:41.561338image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=26)
ValueCountFrequency (%)
95.0 14
17.9%
90.0 7
 
9.0%
86.0 4
 
5.1%
97.0 4
 
5.1%
100.0 3
 
3.8%
61.0 3
 
3.8%
98.0 2
 
2.6%
80.0 2
 
2.6%
85.0 2
 
2.6%
65.0 2
 
2.6%
Other values (16) 18
23.1%
(Missing) 17
21.8%
ValueCountFrequency (%)
26.0 1
 
1.3%
40.0 1
 
1.3%
55.0 2
2.6%
60.0 1
 
1.3%
61.0 3
3.8%
62.0 1
 
1.3%
65.0 2
2.6%
70.0 1
 
1.3%
75.0 1
 
1.3%
80.0 2
2.6%
ValueCountFrequency (%)
800.0 1
 
1.3%
100.0 3
 
3.8%
99.0 1
 
1.3%
98.0 2
 
2.6%
97.0 4
 
5.1%
95.0 14
17.9%
94.0 1
 
1.3%
93.0 2
 
2.6%
92.0 1
 
1.3%
91.0 1
 
1.3%

중앙길이(m)
Real number (ℝ)

MISSING 

Distinct27
Distinct (%)39.7%
Missing10
Missing (%)12.8%
Infinite0
Infinite (%)0.0%
Mean99.411765
Minimum48
Maximum122
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size834.0 B
2023-12-22T21:33:42.566301image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum48
5-th percentile65
Q194.5
median105
Q3110
95-th percentile120
Maximum122
Range74
Interquartile range (IQR)15.5

Descriptive statistics

Standard deviation17.365462
Coefficient of variation (CV)0.17468216
Kurtosis0.66664214
Mean99.411765
Median Absolute Deviation (MAD)5.5
Skewness-1.14032
Sum6760
Variance301.55926
MonotonicityNot monotonic
2023-12-22T21:33:43.168149image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=27)
ValueCountFrequency (%)
105 15
19.2%
110 12
15.4%
120 6
 
7.7%
65 4
 
5.1%
100 3
 
3.8%
102 2
 
2.6%
61 2
 
2.6%
90 2
 
2.6%
70 2
 
2.6%
99 2
 
2.6%
Other values (17) 18
23.1%
(Missing) 10
12.8%
ValueCountFrequency (%)
48 1
 
1.3%
61 2
2.6%
65 4
5.1%
70 2
2.6%
75 1
 
1.3%
78 1
 
1.3%
84 1
 
1.3%
85 1
 
1.3%
90 2
2.6%
91 1
 
1.3%
ValueCountFrequency (%)
122 2
 
2.6%
121 1
 
1.3%
120 6
 
7.7%
115 1
 
1.3%
112 1
 
1.3%
110 12
15.4%
106 1
 
1.3%
105 15
19.2%
103 1
 
1.3%
102 2
 
2.6%

부지면적(㎡)
Real number (ℝ)

MISSING 

Distinct64
Distinct (%)92.8%
Missing9
Missing (%)11.5%
Infinite0
Infinite (%)0.0%
Mean25877.936
Minimum2878
Maximum242689
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size834.0 B
2023-12-22T21:33:44.107048image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2878
5-th percentile4089.2
Q19300
median11000
Q321690
95-th percentile100761.2
Maximum242689
Range239811
Interquartile range (IQR)12390

Descriptive statistics

Standard deviation42002.633
Coefficient of variation (CV)1.623106
Kurtosis15.014186
Mean25877.936
Median Absolute Deviation (MAD)4600
Skewness3.7396128
Sum1785577.6
Variance1.7642212 × 109
MonotonicityNot monotonic
2023-12-22T21:33:45.196915image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
9500.0 3
 
3.8%
11000.0 2
 
2.6%
9726.0 2
 
2.6%
66879.0 2
 
2.6%
10647.0 1
 
1.3%
138075.0 1
 
1.3%
17000.0 1
 
1.3%
13500.0 1
 
1.3%
6400.0 1
 
1.3%
20318.0 1
 
1.3%
Other values (54) 54
69.2%
(Missing) 9
 
11.5%
ValueCountFrequency (%)
2878.0 1
1.3%
3318.0 1
1.3%
3380.0 1
1.3%
3940.0 1
1.3%
4313.0 1
1.3%
4432.0 1
1.3%
4988.0 1
1.3%
6188.0 1
1.3%
6400.0 1
1.3%
6789.0 1
1.3%
ValueCountFrequency (%)
242689.0 1
1.3%
206557.0 1
1.3%
138075.0 1
1.3%
116078.0 1
1.3%
77786.0 1
1.3%
66879.0 2
2.6%
42421.0 1
1.3%
39800.0 1
1.3%
37524.0 1
1.3%
32000.0 1
1.3%

건축면적(㎡)
Real number (ℝ)

MISSING  ZEROS 

Distinct17
Distinct (%)70.8%
Missing54
Missing (%)69.2%
Infinite0
Infinite (%)0.0%
Mean2937.6833
Minimum0
Maximum13356
Zeros7
Zeros (%)9.0%
Negative0
Negative (%)0.0%
Memory size834.0 B
2023-12-22T21:33:46.262604image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median271.5
Q33776.82
95-th percentile12245.55
Maximum13356
Range13356
Interquartile range (IQR)3776.82

Descriptive statistics

Standard deviation4510.3042
Coefficient of variation (CV)1.5353269
Kurtosis0.47563594
Mean2937.6833
Median Absolute Deviation (MAD)271.5
Skewness1.4095328
Sum70504.4
Variance20342844
MonotonicityNot monotonic
2023-12-22T21:33:46.941026image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=17)
ValueCountFrequency (%)
0.0 7
 
9.0%
63.0 2
 
2.6%
1023.0 1
 
1.3%
3535.76 1
 
1.3%
12510.0 1
 
1.3%
4500.0 1
 
1.3%
10120.0 1
 
1.3%
446.0 1
 
1.3%
2938.0 1
 
1.3%
1356.0 1
 
1.3%
Other values (7) 7
 
9.0%
(Missing) 54
69.2%
ValueCountFrequency (%)
0.0 7
9.0%
54.6 1
 
1.3%
63.0 2
 
2.6%
74.04 1
 
1.3%
97.0 1
 
1.3%
446.0 1
 
1.3%
846.0 1
 
1.3%
1023.0 1
 
1.3%
1356.0 1
 
1.3%
2938.0 1
 
1.3%
ValueCountFrequency (%)
13356.0 1
1.3%
12510.0 1
1.3%
10747.0 1
1.3%
10120.0 1
1.3%
8775.0 1
1.3%
4500.0 1
1.3%
3535.76 1
1.3%
2938.0 1
1.3%
1356.0 1
1.3%
1023.0 1
1.3%

관람석좌석수
Real number (ℝ)

MISSING  ZEROS 

Distinct16
Distinct (%)76.2%
Missing57
Missing (%)73.1%
Infinite0
Infinite (%)0.0%
Mean1273.2857
Minimum0
Maximum20255
Zeros1
Zeros (%)1.3%
Negative0
Negative (%)0.0%
Memory size834.0 B
2023-12-22T21:33:47.598236image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile30
Q150
median100
Q3300
95-th percentile2500
Maximum20255
Range20255
Interquartile range (IQR)250

Descriptive statistics

Standard deviation4388.4502
Coefficient of variation (CV)3.4465558
Kurtosis20.139406
Mean1273.2857
Median Absolute Deviation (MAD)70
Skewness4.455464
Sum26739
Variance19258495
MonotonicityNot monotonic
2023-12-22T21:33:48.312930image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
30 3
 
3.8%
100 2
 
2.6%
200 2
 
2.6%
50 2
 
2.6%
720 1
 
1.3%
79 1
 
1.3%
309 1
 
1.3%
0 1
 
1.3%
88 1
 
1.3%
2500 1
 
1.3%
Other values (6) 6
 
7.7%
(Missing) 57
73.1%
ValueCountFrequency (%)
0 1
 
1.3%
30 3
3.8%
49 1
 
1.3%
50 2
2.6%
79 1
 
1.3%
88 1
 
1.3%
100 2
2.6%
106 1
 
1.3%
192 1
 
1.3%
200 2
2.6%
ValueCountFrequency (%)
20255 1
1.3%
2500 1
1.3%
1351 1
1.3%
720 1
1.3%
309 1
1.3%
300 1
1.3%
200 2
2.6%
192 1
1.3%
106 1
1.3%
100 2
2.6%

연면적(㎡)
Real number (ℝ)

MISSING  ZEROS 

Distinct17
Distinct (%)85.0%
Missing58
Missing (%)74.4%
Infinite0
Infinite (%)0.0%
Mean5855.6585
Minimum0
Maximum20318
Zeros4
Zeros (%)5.1%
Negative0
Negative (%)0.0%
Memory size834.0 B
2023-12-22T21:33:49.449236image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q174.25
median2680
Q39799.5
95-th percentile19957.95
Maximum20318
Range20318
Interquartile range (IQR)9725.25

Descriptive statistics

Standard deviation7124.271
Coefficient of variation (CV)1.2166473
Kurtosis-0.28495053
Mean5855.6585
Median Absolute Deviation (MAD)2680
Skewness0.99665587
Sum117113.17
Variance50755237
MonotonicityNot monotonic
2023-12-22T21:33:50.391840image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=17)
ValueCountFrequency (%)
0.0 4
 
5.1%
1420.0 1
 
1.3%
63.0 1
 
1.3%
524.0 1
 
1.3%
20318.0 1
 
1.3%
9500.0 1
 
1.3%
3940.0 1
 
1.3%
10647.0 1
 
1.3%
4652.0 1
 
1.3%
6188.0 1
 
1.3%
Other values (7) 7
 
9.0%
(Missing) 58
74.4%
ValueCountFrequency (%)
0.0 4
5.1%
63.0 1
 
1.3%
78.0 1
 
1.3%
97.0 1
 
1.3%
117.17 1
 
1.3%
524.0 1
 
1.3%
1420.0 1
 
1.3%
3940.0 1
 
1.3%
4652.0 1
 
1.3%
6188.0 1
 
1.3%
ValueCountFrequency (%)
20318.0 1
1.3%
19939.0 1
1.3%
17738.0 1
1.3%
12375.0 1
1.3%
10647.0 1
1.3%
9517.0 1
1.3%
9500.0 1
1.3%
6188.0 1
1.3%
4652.0 1
1.3%
3940.0 1
1.3%

건설사업비(백만원)
Real number (ℝ)

MISSING 

Distinct48
Distinct (%)82.8%
Missing20
Missing (%)25.6%
Infinite0
Infinite (%)0.0%
Mean3026.6207
Minimum50
Maximum24000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size834.0 B
2023-12-22T21:33:51.137940image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum50
5-th percentile100
Q1357
median877
Q31800
95-th percentile23365
Maximum24000
Range23950
Interquartile range (IQR)1443

Descriptive statistics

Standard deviation6333.2656
Coefficient of variation (CV)2.0925204
Kurtosis6.8549682
Mean3026.6207
Median Absolute Deviation (MAD)589.5
Skewness2.8729777
Sum175544
Variance40110253
MonotonicityNot monotonic
2023-12-22T21:33:51.975835image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=48)
ValueCountFrequency (%)
100 4
 
5.1%
1800 3
 
3.8%
500 2
 
2.6%
1000 2
 
2.6%
23365 2
 
2.6%
650 2
 
2.6%
600 2
 
2.6%
4700 1
 
1.3%
1900 1
 
1.3%
1400 1
 
1.3%
Other values (38) 38
48.7%
(Missing) 20
25.6%
ValueCountFrequency (%)
50 1
 
1.3%
100 4
5.1%
104 1
 
1.3%
126 1
 
1.3%
150 1
 
1.3%
160 1
 
1.3%
230 1
 
1.3%
285 1
 
1.3%
290 1
 
1.3%
294 1
 
1.3%
ValueCountFrequency (%)
24000 1
1.3%
23756 1
1.3%
23365 2
2.6%
21026 1
1.3%
4700 1
1.3%
4600 1
1.3%
4575 1
1.3%
4500 1
1.3%
3094 1
1.3%
2470 1
1.3%

수용인원수(명)
Real number (ℝ)

MISSING  ZEROS 

Distinct15
Distinct (%)62.5%
Missing54
Missing (%)69.2%
Infinite0
Infinite (%)0.0%
Mean1833.125
Minimum0
Maximum25000
Zeros1
Zeros (%)1.3%
Negative0
Negative (%)0.0%
Memory size834.0 B
2023-12-22T21:33:52.765847image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile33
Q1100
median200
Q3625
95-th percentile6604.8
Maximum25000
Range25000
Interquartile range (IQR)525

Descriptive statistics

Standard deviation5207.2007
Coefficient of variation (CV)2.8406141
Kurtosis18.756221
Mean1833.125
Median Absolute Deviation (MAD)131
Skewness4.2023757
Sum43995
Variance27114939
MonotonicityNot monotonic
2023-12-22T21:33:53.337048image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=15)
ValueCountFrequency (%)
200 7
 
9.0%
1000 2
 
2.6%
100 2
 
2.6%
50 2
 
2.6%
2011 1
 
1.3%
500 1
 
1.3%
5000 1
 
1.3%
25000 1
 
1.3%
300 1
 
1.3%
6888 1
 
1.3%
Other values (5) 5
 
6.4%
(Missing) 54
69.2%
ValueCountFrequency (%)
0 1
 
1.3%
30 1
 
1.3%
50 2
 
2.6%
88 1
 
1.3%
100 2
 
2.6%
106 1
 
1.3%
200 7
9.0%
300 1
 
1.3%
372 1
 
1.3%
500 1
 
1.3%
ValueCountFrequency (%)
25000 1
 
1.3%
6888 1
 
1.3%
5000 1
 
1.3%
2011 1
 
1.3%
1000 2
 
2.6%
500 1
 
1.3%
372 1
 
1.3%
300 1
 
1.3%
200 7
9.0%
106 1
 
1.3%

비고사항
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing78
Missing (%)100.0%
Memory size834.0 B

소재지우편번호
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing78
Missing (%)100.0%
Memory size834.0 B

소재지지번주소
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing78
Missing (%)100.0%
Memory size834.0 B

소재지도로명주소
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing78
Missing (%)100.0%
Memory size834.0 B

WGS84위도
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing78
Missing (%)100.0%
Memory size834.0 B

WGS84경도
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing78
Missing (%)100.0%
Memory size834.0 B

Sample

집계년도시군명시설명준공연도소유기관명관리주체명내야바닥재료명외야바닥재료명면적(㎡)1-3루길이(m)중앙길이(m)부지면적(㎡)건축면적(㎡)관람석좌석수연면적(㎡)건설사업비(백만원)수용인원수(명)비고사항소재지우편번호소재지지번주소소재지도로명주소WGS84위도WGS84경도
02021가평군설악야구장2014가평군시설관리공단인조잔디인조잔디9505.085.09020205.0<NA><NA><NA>854<NA><NA><NA><NA><NA><NA><NA>
12021가평군가평야구장2018가평군시설관리공단인조잔디인조잔디11119.095.010615210.0<NA><NA><NA>1000<NA><NA><NA><NA><NA><NA><NA>
22021경기도팀업캠퍼스 야구장2018경기도민간위탁(SCG스포츠아카데미)인조잔디인조잔디35081.095.0122206557.02938.0<NA>4652.021026<NA><NA><NA><NA><NA><NA><NA>
32021고양시고양 국가대표 야구연습장2011고양시민간위탁(키움히어로즈)인조잔디인조잔디<NA><NA>9925163.01356.02500<NA>45002011<NA><NA><NA><NA><NA><NA>
42021고양시고양대덕야구장<NA>고양시고양도시관리공사천연잔디마사토<NA><NA>93<NA><NA><NA><NA>990<NA><NA><NA><NA><NA><NA><NA>
52021고양시고양장항야구장<NA>고양시고양도시관리공사인조잔디인조잔디<NA><NA>95<NA><NA><NA><NA>2470<NA><NA><NA><NA><NA><NA><NA>
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82021구리시구리시 리틀야구장1998구리시구리시마사토마사토3318.065.0703318.0<NA><NA><NA>50<NA><NA><NA><NA><NA><NA><NA>
92021구리시한강 시민공원 야구장(2)2000구리시위탁(구리도시공사)마사토마사토15600.0100.012015600.0<NA><NA><NA>100<NA><NA><NA><NA><NA><NA><NA>
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682021평택시계양 야구장2004평택시평택시(체육진흥과)토사토사10850.095.011512359.0<NA><NA><NA>160<NA><NA><NA><NA><NA><NA><NA>
692021평택시신당 야구장2012평택시평택시(안출 지역경제과)토사토사9800.097.01109974.0<NA><NA><NA>290<NA><NA><NA><NA><NA><NA><NA>
702021포천시포천 야구장2013포천시포천도시공사인조잔디인조잔디16960.085.011229399.063.0<NA>63.04575200<NA><NA><NA><NA><NA><NA>
712021하남시선동둔치 체육시설2011하남시하남도시공사마사토마사토22498.092.0105116078.0<NA><NA><NA>800<NA><NA><NA><NA><NA><NA><NA>
722021화성시용수교둔치2013화성시화성시천연잔디인조잔디<NA><NA><NA><NA>10120.0<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
732021화성시예당임시체육시설2014화성시화성시마사토<NA><NA><NA><NA><NA>4500.0<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
742021화성시비봉체육공원2014화성시화성시인조잔디인조잔디<NA><NA><NA>12520.0<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
752021화성시향남야구장2016화성시화성도시공사인조잔디마사토15885.040.048<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
762021화성시비봉인공습지2014화성시화성시인조잔디마사토<NA><NA><NA><NA>12510.0<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
772021화성시화성드림파크2017화성시화성도시공사인조잔디인조잔디<NA><NA><NA>242689.03535.76<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>