gimi9 Pandas Profiling

Dataset statistics

Number of variables	17
Number of observations	24
Missing cells	65
Missing cells (%)	15.9%
Duplicate rows	0
Duplicate rows (%)	0.0%
Total size in memory	3.6 KiB
Average record size in memory	151.5 B

Variable types

Numeric	10
Categorical	4
Text	3

Dataset

Description	경남도내 야구장 현황을 제공합니다. 시군구멸 시설명, 소유기관, 관리주체 부지면적, 건축면적, 경기장형태의 데이터를 포함하고있습니다.
Author	경상남도
URL	https://www.data.go.kr/data/3080074/fileData.do

Alerts

`시도` has constant value ""	Constant
`연번` is highly overall correlated with `경기장 중앙 길이`	High correlation
`부지면적` is highly overall correlated with `건축면적` and 4 other fields	High correlation
`건축면적` is highly overall correlated with `부지면적` and 5 other fields	High correlation
`연면적` is highly overall correlated with `건축면적`	High correlation
`경기장 중앙 길이` is highly overall correlated with `연번` and 4 other fields	High correlation
`경기장 1,3루 길이` is highly overall correlated with `경기장 중앙 길이` and 4 other fields	High correlation
`경기장 면적` is highly overall correlated with `부지면적` and 3 other fields	High correlation
`관람석 좌석수` is highly overall correlated with `부지면적` and 5 other fields	High correlation
`관람석 수용인원(명)` is highly overall correlated with `부지면적` and 5 other fields	High correlation
`준공연도` is highly overall correlated with `건축면적` and 2 other fields	High correlation
`시군구` is highly overall correlated with `경기장 중앙 길이` and 2 other fields	High correlation
`경기장 바닥재료(내야)` is highly overall correlated with `부지면적` and 1 other fields	High correlation
`경기장 바닥재료(외야)` is highly overall correlated with `경기장 바닥재료(내야)`	High correlation
`부지면적` has 1 (4.2%) missing values	Missing
`건축면적` has 18 (75.0%) missing values	Missing
`연면적` has 15 (62.5%) missing values	Missing
`관람석 좌석수` has 15 (62.5%) missing values	Missing
`관람석 수용인원(명)` has 16 (66.7%) missing values	Missing
`연번` has unique values	Unique
`시설명` has unique values	Unique

Reproduction

Analysis started	2023-12-12 14:53:17.165228
Analysis finished	2023-12-12 14:53:29.414411
Duration	12.25 seconds
Software version	ydata-profiling vv4.5.1
Download configuration	config.json

연번
Real number (ℝ)

HIGH CORRELATION UNIQUE

Distinct	24
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	12.5

Minimum	1
Maximum	24
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	348.0 B

Quantile statistics

Minimum	1
5-th percentile	2.15
Q1	6.75
median	12.5
Q3	18.25
95-th percentile	22.85
Maximum	24
Range	23
Interquartile range (IQR)	11.5

Descriptive statistics

Standard deviation	7.0710678
Coefficient of variation (CV)	0.56568542
Kurtosis	-1.2
Mean	12.5
Median Absolute Deviation (MAD)	6
Skewness	0
Sum	300
Variance	50
Monotonicity	Strictly increasing

Histogram with fixed size bins (bins=24)

Value	Count	Frequency (%)
1	1	4.2%
14	1	4.2%
24	1	4.2%
23	1	4.2%
22	1	4.2%
21	1	4.2%
20	1	4.2%
19	1	4.2%
18	1	4.2%
17	1	4.2%
Other values (14)	14	58.3%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1	1	4.2%
2	1	4.2%
3	1	4.2%
4	1	4.2%
5	1	4.2%
6	1	4.2%
7	1	4.2%
8	1	4.2%
9	1	4.2%
10	1	4.2%

Value	Count	Frequency (%)
24	1	4.2%
23	1	4.2%
22	1	4.2%
21	1	4.2%
20	1	4.2%
19	1	4.2%
18	1	4.2%
17	1	4.2%
16	1	4.2%
15	1	4.2%

시도
Categorical

CONSTANT

Distinct	1
Distinct (%)	4.2%
Missing	0
Missing (%)	0.0%
Memory size	324.0 B

경상남도	24

Length

Max length	6
Median length	6
Mean length	6
Min length	6

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	경상남도
2nd row	경상남도
3rd row	경상남도
4th row	경상남도
5th row	경상남도

Common Values

Value	Count	Frequency (%)
경상남도	24	100.0%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
경상남도	24	100.0%

시군구
Categorical

HIGH CORRELATION

Distinct	11
Distinct (%)	45.8%
Missing	0
Missing (%)	0.0%
Memory size	324.0 B

창원시	8
김해시	6
합천군	2
통영시	1
사천시	1
Other values (6)	6

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Unique

Unique	8 ?
Unique (%)	33.3%

Sample

1st row	창원시
2nd row	창원시
3rd row	창원시
4th row	창원시
5th row	창원시

Common Values

Value	Count	Frequency (%)
창원시	8	33.3%
김해시	6	25.0%
합천군	2	8.3%
통영시	1	4.2%
사천시	1	4.2%
밀양시	1	4.2%
거제시	1	4.2%
의령군	1	4.2%
함안군	1	4.2%
창녕군	1	4.2%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
창원시	8	33.3%
김해시	6	25.0%
합천군	2	8.3%
통영시	1	4.2%
사천시	1	4.2%
밀양시	1	4.2%
거제시	1	4.2%
의령군	1	4.2%
함안군	1	4.2%
창녕군	1	4.2%

시설명
Text

UNIQUE

Distinct	24
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Memory size	324.0 B

Length

Max length	17
Median length	13
Mean length	10.166667
Min length	5

Characters and Unicode

Total characters	244
Distinct characters	68
Distinct categories	6 ?
Distinct scripts	3 ?
Distinct blocks	2 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	24 ?
Unique (%)	100.0%

Sample

1st row	88올림픽야구장
2nd row	마산종합운동장야구장
3rd row	진해공설운동장야구장
4th row	대산면 사회인야구장(1)
5th row	대산면 사회인야구장(2)

Value	Count	Frequency (%)
대산면	5	13.9%
야구장	3	8.3%
대동생태체육공원	2	5.6%
합천야구장(a	1	2.8%
남해스포츠파크인조야구장	1	2.8%
남지체육공원	1	2.8%
스포츠파크생활야구장(리틀	1	2.8%
함안	1	2.8%
의령친환경야구장	1	2.8%
하청	1	2.8%
Other values (19)	19	52.8%

Most occurring characters

Value	Count	Frequency (%)
장	26	10.7%
야	24	9.8%
구	24	9.8%
)	12	4.9%
(	12	4.9%
	12	4.9%
대	7	2.9%
산	6	2.5%
인	6	2.5%
사	6	2.5%
Other values (58)	109	44.7%

Most occurring categories

Value	Count	Frequency (%)
Other Letter	195	79.9%
Close Punctuation	12	4.9%
Open Punctuation	12	4.9%
Space Separator	12	4.9%
Decimal Number	11	4.5%
Uppercase Letter	2	0.8%

Most frequent character per category

Other Letter

Value	Count	Frequency (%)
장	26	13.3%
야	24	12.3%
구	24	12.3%
대	7	3.6%
산	6	3.1%
인	6	3.1%
사	6	3.1%
동	6	3.1%
회	5	2.6%
면	5	2.6%
Other values (47)	80	41.0%

Decimal Number

Value	Count	Frequency (%)
1	3	27.3%
2	3	27.3%
8	2	18.2%
3	1	9.1%
4	1	9.1%
5	1	9.1%

Uppercase Letter

Value	Count	Frequency (%)
A	1	50.0%
B	1	50.0%

Close Punctuation

Value	Count	Frequency (%)
)	12	100.0%

Open Punctuation

Value	Count	Frequency (%)
(	12	100.0%

Space Separator

Value	Count	Frequency (%)
	12	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Hangul	195	79.9%
Common	47	19.3%
Latin	2	0.8%

Most frequent character per script

Hangul

Value	Count	Frequency (%)
장	26	13.3%
야	24	12.3%
구	24	12.3%
대	7	3.6%
산	6	3.1%
인	6	3.1%
사	6	3.1%
동	6	3.1%
회	5	2.6%
면	5	2.6%
Other values (47)	80	41.0%

Common

Value	Count	Frequency (%)
)	12	25.5%
(	12	25.5%
	12	25.5%
1	3	6.4%
2	3	6.4%
8	2	4.3%
3	1	2.1%
4	1	2.1%
5	1	2.1%

Latin

Value	Count	Frequency (%)
A	1	50.0%
B	1	50.0%

Most occurring blocks

Value	Count	Frequency (%)
Hangul	195	79.9%
ASCII	49	20.1%

Most frequent character per block

Hangul

Value	Count	Frequency (%)
장	26	13.3%
야	24	12.3%
구	24	12.3%
대	7	3.6%
산	6	3.1%
인	6	3.1%
사	6	3.1%
동	6	3.1%
회	5	2.6%
면	5	2.6%
Other values (47)	80	41.0%

ASCII

Value	Count	Frequency (%)
)	12	24.5%
(	12	24.5%
	12	24.5%
1	3	6.1%
2	3	6.1%
8	2	4.1%
A	1	2.0%
3	1	2.0%
4	1	2.0%
5	1	2.0%

소유기관
Text

Distinct	13
Distinct (%)	54.2%
Missing	0
Missing (%)	0.0%
Memory size	324.0 B

Length

Max length	5
Median length	3
Mean length	3.2083333
Min length	3

Characters and Unicode

Total characters	77
Distinct characters	22
Distinct categories	2 ?
Distinct scripts	2 ?
Distinct blocks	2 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	9 ?
Unique (%)	37.5%

Sample

1st row	창원시
2nd row	창원시
3rd row	창원시
4th row	창원시
5th row	창원시

Value	Count	Frequency (%)
창원시	8	33.3%
김해시	6	25.0%
합천군	2	8.3%
통영시	1	4.2%
사천시	1	4.2%
밀양시	1	4.2%
거제시	1	4.2%
의령군	1	4.2%
함안군	1	4.2%
창녕군	1	4.2%

Most occurring characters

Value	Count	Frequency (%)
시	18	23.4%
창	9	11.7%
원	8	10.4%
해	7	9.1%
김	6	7.8%
군	6	7.8%
	5	6.5%
천	3	3.9%
합	2	2.6%
제	1	1.3%
Other values (12)	12	15.6%

Most occurring categories

Value	Count	Frequency (%)
Other Letter	72	93.5%
Space Separator	5	6.5%

Most frequent character per category

Other Letter

Value	Count	Frequency (%)
시	18	25.0%
창	9	12.5%
원	8	11.1%
해	7	9.7%
김	6	8.3%
군	6	8.3%
천	3	4.2%
합	2	2.8%
제	1	1.4%
녕	1	1.4%
Other values (11)	11	15.3%

Space Separator

Value	Count	Frequency (%)
	5	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Hangul	72	93.5%
Common	5	6.5%

Most frequent character per script

Hangul

Value	Count	Frequency (%)
시	18	25.0%
창	9	12.5%
원	8	11.1%
해	7	9.7%
김	6	8.3%
군	6	8.3%
천	3	4.2%
합	2	2.8%
제	1	1.4%
녕	1	1.4%
Other values (11)	11	15.3%

Common

Value	Count	Frequency (%)
	5	100.0%

Most occurring blocks

Value	Count	Frequency (%)
Hangul	72	93.5%
ASCII	5	6.5%

Most frequent character per block

Hangul

Value	Count	Frequency (%)
시	18	25.0%
창	9	12.5%
원	8	11.1%
해	7	9.7%
김	6	8.3%
군	6	8.3%
천	3	4.2%
합	2	2.8%
제	1	1.4%
녕	1	1.4%
Other values (11)	11	15.3%

ASCII

Value	Count	Frequency (%)
	5	100.0%

관리주체
Text

Distinct	14
Distinct (%)	58.3%
Missing	0
Missing (%)	0.0%
Memory size	324.0 B

Length

Max length	13
Median length	10
Mean length	5.625
Min length	3

Characters and Unicode

Total characters	135
Distinct characters	45
Distinct categories	4 ?
Distinct scripts	2 ?
Distinct blocks	2 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	8 ?
Unique (%)	33.3%

Sample

1st row	창원시
2nd row	시설관리공단
3rd row	시설관리공단
4th row	창원시
5th row	창원시

Value	Count	Frequency (%)
창원시	6	22.2%
시설관리공단	2	7.4%
대동면체육회	2	7.4%
상동면	2	7.4%
체육시설사업소	2	7.4%
합천군	2	7.4%
위탁	2	7.4%
통영관광개발공사	1	3.7%
사천시	1	3.7%
김해시도시개발공사	1	3.7%
Other values (6)	6	22.2%

Most occurring characters

Value	Count	Frequency (%)
시	16	11.9%
	9	6.7%
창	7	5.2%
원	6	4.4%
사	6	4.4%
체	5	3.7%
육	5	3.7%
설	5	3.7%
동	4	3.0%
면	4	3.0%
Other values (35)	68	50.4%

Most occurring categories

Value	Count	Frequency (%)
Other Letter	122	90.4%
Space Separator	9	6.7%
Close Punctuation	2	1.5%
Open Punctuation	2	1.5%

Most frequent character per category

Other Letter

Value	Count	Frequency (%)
시	16	13.1%
창	7	5.7%
원	6	4.9%
사	6	4.9%
체	5	4.1%
육	5	4.1%
설	5	4.1%
동	4	3.3%
면	4	3.3%
공	4	3.3%
Other values (32)	60	49.2%

Space Separator

Value	Count	Frequency (%)
	9	100.0%

Close Punctuation

Value	Count	Frequency (%)
)	2	100.0%

Open Punctuation

Value	Count	Frequency (%)
(	2	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Hangul	122	90.4%
Common	13	9.6%

Most frequent character per script

Hangul

Value	Count	Frequency (%)
시	16	13.1%
창	7	5.7%
원	6	4.9%
사	6	4.9%
체	5	4.1%
육	5	4.1%
설	5	4.1%
동	4	3.3%
면	4	3.3%
공	4	3.3%
Other values (32)	60	49.2%

Common

Value	Count	Frequency (%)
	9	69.2%
)	2	15.4%
(	2	15.4%

Most occurring blocks

Value	Count	Frequency (%)
Hangul	122	90.4%
ASCII	13	9.6%

Most frequent character per block

Hangul

Value	Count	Frequency (%)
시	16	13.1%
창	7	5.7%
원	6	4.9%
사	6	4.9%
체	5	4.1%
육	5	4.1%
설	5	4.1%
동	4	3.3%
면	4	3.3%
공	4	3.3%
Other values (32)	60	49.2%

ASCII

Value	Count	Frequency (%)
	9	69.2%
)	2	15.4%
(	2	15.4%

부지면적
Real number (ℝ)

HIGH CORRELATION MISSING

Distinct	17
Distinct (%)	73.9%
Missing	1
Missing (%)	4.2%
Infinite	0
Infinite (%)	0.0%
Mean	23034.043

Minimum	2047
Maximum	126000
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	348.0 B

Quantile statistics

Minimum	2047
5-th percentile	4437.8
Q1	10431.5
median	12800
Q3	22690
95-th percentile	67507
Maximum	126000
Range	123953
Interquartile range (IQR)	12258.5

Descriptive statistics

Standard deviation	27997.477
Coefficient of variation (CV)	1.2154825
Kurtosis	8.293921
Mean	23034.043
Median Absolute Deviation (MAD)	5322
Skewness	2.7858121
Sum	529783
Variance	7.8385872 × 10⁸
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=17)

Value	Count	Frequency (%)
7478	3	12.5%
67507	2	8.3%
15600	2	8.3%
11483	2	8.3%
12500	2	8.3%
22580	1	4.2%
15680	1	4.2%
2047	1	4.2%
4100	1	4.2%
126000	1	4.2%
Other values (7)	7	29.2%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
2047	1	4.2%
4100	1	4.2%
7478	3	12.5%
9380	1	4.2%
11483	2	8.3%
11593	1	4.2%
12500	2	8.3%
12800	1	4.2%
15000	1	4.2%
15600	2	8.3%

Value	Count	Frequency (%)
126000	1	4.2%
67507	2	8.3%
27705	1	4.2%
23484	1	4.2%
22800	1	4.2%
22580	1	4.2%
15680	1	4.2%
15600	2	8.3%
15000	1	4.2%
12800	1	4.2%

건축면적
Real number (ℝ)

HIGH CORRELATION MISSING

Distinct	6
Distinct (%)	100.0%
Missing	18
Missing (%)	75.0%
Infinite	0
Infinite (%)	0.0%
Mean	2320.3833

Minimum	95.3
Maximum	10327
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	348.0 B

Quantile statistics

Minimum	95.3
5-th percentile	125.725
Q1	235
median	391.5
Q3	1998.5
95-th percentile	8370.25
Maximum	10327
Range	10231.7
Interquartile range (IQR)	1763.5

Descriptive statistics

Standard deviation	4024.3157
Coefficient of variation (CV)	1.7343323
Kurtosis	4.9107696
Mean	2320.3833
Median Absolute Deviation (MAD)	235.35
Skewness	2.2024657
Sum	13922.3
Variance	16195117
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=6)

Value	Count	Frequency (%)
10327.0	1	4.2%
2500.0	1	4.2%
95.3	1	4.2%
289.0	1	4.2%
217.0	1	4.2%
494.0	1	4.2%
(Missing)	18	75.0%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
95.3	1	4.2%
217.0	1	4.2%
289.0	1	4.2%
494.0	1	4.2%
2500.0	1	4.2%
10327.0	1	4.2%

Value	Count	Frequency (%)
10327.0	1	4.2%
2500.0	1	4.2%
494.0	1	4.2%
289.0	1	4.2%
217.0	1	4.2%
95.3	1	4.2%

연면적
Real number (ℝ)

HIGH CORRELATION MISSING

Distinct	9
Distinct (%)	100.0%
Missing	15
Missing (%)	62.5%
Infinite	0
Infinite (%)	0.0%
Mean	4558.1444

Minimum	95.3
Maximum	18248
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	348.0 B

Quantile statistics

Minimum	95.3
5-th percentile	141.18
Q1	289
median	2047
Q3	4100
95-th percentile	16148.8
Maximum	18248
Range	18152.7
Interquartile range (IQR)	3811

Descriptive statistics

Standard deviation	6544.7636
Coefficient of variation (CV)	1.4358394
Kurtosis	1.5030266
Mean	4558.1444
Median Absolute Deviation (MAD)	1837
Skewness	1.6215651
Sum	41023.3
Variance	42833931
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=9)

Value	Count	Frequency (%)
13000.0	1	4.2%
18248.0	1	4.2%
2500.0	1	4.2%
95.3	1	4.2%
289.0	1	4.2%
210.0	1	4.2%
4100.0	1	4.2%
2047.0	1	4.2%
534.0	1	4.2%
(Missing)	15	62.5%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
95.3	1	4.2%
210.0	1	4.2%
289.0	1	4.2%
534.0	1	4.2%
2047.0	1	4.2%
2500.0	1	4.2%
4100.0	1	4.2%
13000.0	1	4.2%
18248.0	1	4.2%

Value	Count	Frequency (%)
18248.0	1	4.2%
13000.0	1	4.2%
4100.0	1	4.2%
2500.0	1	4.2%
2047.0	1	4.2%
534.0	1	4.2%
289.0	1	4.2%
210.0	1	4.2%
95.3	1	4.2%

경기장 바닥재료(내야)
Categorical

HIGH CORRELATION

Distinct	4
Distinct (%)	16.7%
Missing	0
Missing (%)	0.0%
Memory size	324.0 B

토사	15
인조잔디	7
천연잔디	1
잔디	1

Length

Max length	4
Median length	2
Mean length	2.6666667
Min length	2

Unique

Unique	2 ?
Unique (%)	8.3%

Sample

1st row	토사
2nd row	인조잔디
3rd row	토사
4th row	토사
5th row	토사

Common Values

Value	Count	Frequency (%)
토사	15	62.5%
인조잔디	7	29.2%
천연잔디	1	4.2%
잔디	1	4.2%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
토사	15	62.5%
인조잔디	7	29.2%
천연잔디	1	4.2%
잔디	1	4.2%

경기장 바닥재료(외야)
Categorical

HIGH CORRELATION

Distinct	4
Distinct (%)	16.7%
Missing	0
Missing (%)	0.0%
Memory size	324.0 B

토사	16
인조잔디	5
잔디	2
천연잔디	1

Length

Max length	4
Median length	2
Mean length	2.5
Min length	2

Unique

Unique	1 ?
Unique (%)	4.2%

Sample

1st row	토사
2nd row	인조잔디
3rd row	토사
4th row	토사
5th row	토사

Common Values

Value	Count	Frequency (%)
토사	16	66.7%
인조잔디	5	20.8%
잔디	2	8.3%
천연잔디	1	4.2%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
토사	16	66.7%
인조잔디	5	20.8%
잔디	2	8.3%
천연잔디	1	4.2%

경기장 중앙 길이
Real number (ℝ)

HIGH CORRELATION

Distinct	11
Distinct (%)	45.8%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	105.79167

Minimum	65
Maximum	122
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	348.0 B

Quantile statistics

Minimum	65
5-th percentile	97
Q1	100
median	105
Q3	112
95-th percentile	121.7
Maximum	122
Range	57
Interquartile range (IQR)	12

Descriptive statistics

Standard deviation	11.462526
Coefficient of variation (CV)	0.10834999
Kurtosis	6.3340736
Mean	105.79167
Median Absolute Deviation (MAD)	5
Skewness	-1.7764195
Sum	2539
Variance	131.38949
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=11)

Value	Count	Frequency (%)
105	5	20.8%
100	5	20.8%
112	3	12.5%
110	2	8.3%
122	2	8.3%
97	2	8.3%
117	1	4.2%
120	1	4.2%
107	1	4.2%
65	1	4.2%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
65	1	4.2%
97	2	8.3%
100	5	20.8%
105	5	20.8%
107	1	4.2%
110	2	8.3%
111	1	4.2%
112	3	12.5%
117	1	4.2%
120	1	4.2%

Value	Count	Frequency (%)
122	2	8.3%
120	1	4.2%
117	1	4.2%
112	3	12.5%
111	1	4.2%
110	2	8.3%
107	1	4.2%
105	5	20.8%
100	5	20.8%
97	2	8.3%

경기장 1,3루 길이
Real number (ℝ)

HIGH CORRELATION

Distinct	12
Distinct (%)	50.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	85.416667

Minimum	29
Maximum	110
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	348.0 B

Quantile statistics

Minimum	29
5-th percentile	33.65
Q1	80
median	93
Q3	96
95-th percentile	100
Maximum	110
Range	81
Interquartile range (IQR)	16

Descriptive statistics

Standard deviation	20.679578
Coefficient of variation (CV)	0.24210237
Kurtosis	3.2130941
Mean	85.416667
Median Absolute Deviation (MAD)	4
Skewness	-1.8959131
Sum	2050
Variance	427.64493
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=12)

Value	Count	Frequency (%)
96	3	12.5%
100	3	12.5%
80	3	12.5%
90	3	12.5%
95	3	12.5%
93	2	8.3%
29	2	8.3%
98	1	4.2%
92	1	4.2%
110	1	4.2%
Other values (2)	2	8.3%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
29	2	8.3%
60	1	4.2%
63	1	4.2%
80	3	12.5%
90	3	12.5%
92	1	4.2%
93	2	8.3%
95	3	12.5%
96	3	12.5%
98	1	4.2%

Value	Count	Frequency (%)
110	1	4.2%
100	3	12.5%
98	1	4.2%
96	3	12.5%
95	3	12.5%
93	2	8.3%
92	1	4.2%
90	3	12.5%
80	3	12.5%
63	1	4.2%

경기장 면적
Real number (ℝ)

HIGH CORRELATION

Distinct	19
Distinct (%)	79.2%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	12755.5

Minimum	2047
Maximum	36000
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	348.0 B

Quantile statistics

Minimum	2047
5-th percentile	4538.9
Q1	7478
median	11538
Q3	12850
95-th percentile	29446.15
Maximum	36000
Range	33953
Interquartile range (IQR)	5372

Descriptive statistics

Standard deviation	7713.4675
Coefficient of variation (CV)	0.60471699
Kurtosis	3.4033086
Mean	12755.5
Median Absolute Deviation (MAD)	2916.5
Skewness	1.7290054
Sum	306132
Variance	59497581
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=19)

Value	Count	Frequency (%)
7478	3	12.5%
7026	2	8.3%
11483	2	8.3%
10500	2	8.3%
13000	1	4.2%
11593	1	4.2%
12665	1	4.2%
2047	1	4.2%
4100	1	4.2%
36000	1	4.2%
Other values (9)	9	37.5%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
2047	1	4.2%
4100	1	4.2%
7026	2	8.3%
7478	3	12.5%
9167	1	4.2%
10500	2	8.3%
11483	2	8.3%
11593	1	4.2%
11935	1	4.2%
12434	1	4.2%

Value	Count	Frequency (%)
36000	1	4.2%
30619	1	4.2%
22800	1	4.2%
18740	1	4.2%
15000	1	4.2%
13000	1	4.2%
12800	1	4.2%
12780	1	4.2%
12665	1	4.2%
12434	1	4.2%

관람석 좌석수
Real number (ℝ)

HIGH CORRELATION MISSING

Distinct	7
Distinct (%)	77.8%
Missing	15
Missing (%)	62.5%
Infinite	0
Infinite (%)	0.0%
Mean	1981.1111

Minimum	50
Maximum	14164
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	348.0 B

Quantile statistics

Minimum	50
5-th percentile	65.2
Q1	108
median	200
Q3	1200
95-th percentile	9146.4
Maximum	14164
Range	14114
Interquartile range (IQR)	1092

Descriptive statistics

Standard deviation	4603.0152
Coefficient of variation (CV)	2.3234513
Kurtosis	8.6143415
Mean	1981.1111
Median Absolute Deviation (MAD)	112
Skewness	2.9170646
Sum	17830
Variance	21187749
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=7)

Value	Count	Frequency (%)
200	3	12.5%
14164	1	4.2%
1620	1	4.2%
50	1	4.2%
108	1	4.2%
88	1	4.2%
1200	1	4.2%
(Missing)	15	62.5%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
50	1	4.2%
88	1	4.2%
108	1	4.2%
200	3	12.5%
1200	1	4.2%
1620	1	4.2%
14164	1	4.2%

Value	Count	Frequency (%)
14164	1	4.2%
1620	1	4.2%
1200	1	4.2%
200	3	12.5%
108	1	4.2%
88	1	4.2%
50	1	4.2%

관람석 수용인원(명)
Real number (ℝ)

HIGH CORRELATION MISSING

Distinct	7
Distinct (%)	87.5%
Missing	16
Missing (%)	66.7%
Infinite	0
Infinite (%)	0.0%
Mean	2216.25

Minimum	88
Maximum	14164
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	348.0 B

Quantile statistics

Minimum	88
5-th percentile	95
Q1	139.5
median	200
Q3	1305
95-th percentile	9773.6
Maximum	14164
Range	14076
Interquartile range (IQR)	1165.5

Descriptive statistics

Standard deviation	4862.5551
Coefficient of variation (CV)	2.1940463
Kurtosis	7.6537
Mean	2216.25
Median Absolute Deviation (MAD)	102
Skewness	2.7502078
Sum	17730
Variance	23644442
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=7)

Value	Count	Frequency (%)
200	2	8.3%
14164	1	4.2%
1620	1	4.2%
150	1	4.2%
108	1	4.2%
88	1	4.2%
1200	1	4.2%
(Missing)	16	66.7%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
88	1	4.2%
108	1	4.2%
150	1	4.2%
200	2	8.3%
1200	1	4.2%
1620	1	4.2%
14164	1	4.2%

Value	Count	Frequency (%)
14164	1	4.2%
1620	1	4.2%
1200	1	4.2%
200	2	8.3%
150	1	4.2%
108	1	4.2%
88	1	4.2%

준공연도
Real number (ℝ)

HIGH CORRELATION

Distinct	12
Distinct (%)	50.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	2008.2083

Minimum	1963
Maximum	2015
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	348.0 B

Quantile statistics

Minimum	1963
5-th percentile	1984.85
Q1	2008.75
median	2012
Q3	2014
95-th percentile	2015
Maximum	2015
Range	52
Interquartile range (IQR)	5.25

Descriptive statistics

Standard deviation	11.901696
Coefficient of variation (CV)	0.0059265244
Kurtosis	9.6976745
Mean	2008.2083
Median Absolute Deviation (MAD)	2
Skewness	-3.0507417
Sum	48197
Variance	141.65036
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=12)

Value	Count	Frequency (%)
2012	6	25.0%
2014	5	20.8%
2015	3	12.5%
2013	2	8.3%
2007	1	4.2%
1982	1	4.2%
1963	1	4.2%
2001	1	4.2%
2008	1	4.2%
2011	1	4.2%
Other values (2)	2	8.3%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1963	1	4.2%
1982	1	4.2%
2001	1	4.2%
2003	1	4.2%
2007	1	4.2%
2008	1	4.2%
2009	1	4.2%
2011	1	4.2%
2012	6	25.0%
2013	2	8.3%

Value	Count	Frequency (%)
2015	3	12.5%
2014	5	20.8%
2013	2	8.3%
2012	6	25.0%
2011	1	4.2%
2009	1	4.2%
2008	1	4.2%
2007	1	4.2%
2003	1	4.2%
2001	1	4.2%

Heatmap
Table

	연번	시군구	시설명	소유기관	관리주체	부지면적	건축면적	연면적	경기장 바닥재료(내야)	경기장 바닥재료(외야)	경기장 중앙 길이	경기장 1,3루 길이	경기장 면적	관람석 좌석수	관람석 수용인원(명)	준공연도
연번	1.000	0.756	1.000	0.856	0.909	0.811	0.000	0.000	0.653	0.000	0.848	0.773	0.806	0.000	0.000	0.402
시군구	0.756	1.000	1.000	1.000	0.974	0.574	0.000	0.000	0.793	0.778	0.871	0.932	0.888	0.000	0.000	0.070
시설명	1.000	1.000	1.000	1.000	1.000	1.000	1.000	1.000	1.000	1.000	1.000	1.000	1.000	1.000	1.000	1.000
소유기관	0.856	1.000	1.000	1.000	0.971	0.655	0.000	0.000	0.970	0.964	0.885	0.945	0.933	0.000	0.000	0.000
관리주체	0.909	0.974	1.000	0.971	1.000	0.884	0.000	0.569	0.854	0.731	0.920	0.972	0.954	0.000	0.000	0.886
부지면적	0.811	0.574	1.000	0.655	0.884	1.000	0.834	0.672	0.684	0.321	0.000	0.000	0.606	0.916	0.916	0.000
건축면적	0.000	0.000	1.000	0.000	0.000	0.834	1.000	1.000	0.242	0.242	0.000	0.000	0.000	1.000	1.000	1.000
연면적	0.000	0.000	1.000	0.000	0.569	0.672	1.000	1.000	0.517	0.517	0.682	0.542	0.000	1.000	1.000	0.573
경기장 바닥재료(내야)	0.653	0.793	1.000	0.970	0.854	0.684	0.242	0.517	1.000	0.981	0.418	0.000	0.867	0.054	0.000	0.000
경기장 바닥재료(외야)	0.000	0.778	1.000	0.964	0.731	0.321	0.242	0.517	0.981	1.000	0.000	0.361	0.741	0.054	0.000	0.000
경기장 중앙 길이	0.848	0.871	1.000	0.885	0.920	0.000	0.000	0.682	0.418	0.000	1.000	0.857	0.787	0.000	0.423	0.000
경기장 1,3루 길이	0.773	0.932	1.000	0.945	0.972	0.000	0.000	0.542	0.000	0.361	0.857	1.000	0.731	0.000	0.000	0.000
경기장 면적	0.806	0.888	1.000	0.933	0.954	0.606	0.000	0.000	0.867	0.741	0.787	0.731	1.000	0.000	0.000	0.613
관람석 좌석수	0.000	0.000	1.000	0.000	0.000	0.916	1.000	1.000	0.054	0.054	0.000	0.000	0.000	1.000	1.000	1.000
관람석 수용인원(명)	0.000	0.000	1.000	0.000	0.000	0.916	1.000	1.000	0.000	0.000	0.423	0.000	0.000	1.000	1.000	1.000
준공연도	0.402	0.070	1.000	0.000	0.886	0.000	1.000	0.573	0.000	0.000	0.000	0.000	0.613	1.000	1.000	1.000

Heatmap
Table

	시군구	경기장 바닥재료(외야)	경기장 바닥재료(내야)
시군구	1.000	0.472	0.489
경기장 바닥재료(외야)	0.472	1.000	0.809
경기장 바닥재료(내야)	0.489	0.809	1.000

Heatmap
Table

	연번	부지면적	건축면적	연면적	경기장 중앙 길이	경기장 1,3루 길이	경기장 면적	관람석 좌석수	관람석 수용인원(명)	준공연도	시군구	경기장 바닥재료(내야)	경기장 바닥재료(외야)
연번	1.000	0.101	-0.486	-0.417	-0.514	-0.464	-0.279	-0.458	-0.491	0.375	0.404	0.360	0.000
부지면적	0.101	1.000	0.600	0.119	-0.011	0.395	0.745	0.719	0.695	-0.111	0.252	0.603	0.259
건축면적	-0.486	0.600	1.000	1.000	0.086	0.058	-0.714	0.771	1.000	-0.886	0.000	0.217	0.217
연면적	-0.417	0.119	1.000	1.000	-0.084	-0.050	-0.467	0.431	0.464	-0.351	0.000	0.431	0.431
경기장 중앙 길이	-0.514	-0.011	0.086	-0.084	1.000	0.572	0.291	0.511	0.777	-0.146	0.575	0.248	0.000
경기장 1,3루 길이	-0.464	0.395	0.058	-0.050	0.572	1.000	0.702	0.615	0.794	-0.270	0.708	0.000	0.209
경기장 면적	-0.279	0.745	-0.714	-0.467	0.291	0.702	1.000	0.068	0.120	-0.332	0.605	0.454	0.297
관람석 좌석수	-0.458	0.719	0.771	0.431	0.511	0.615	0.068	1.000	0.928	-0.519	0.000	0.000	0.000
관람석 수용인원(명)	-0.491	0.695	1.000	0.464	0.777	0.794	0.120	0.928	1.000	-0.766	0.000	0.000	0.000
준공연도	0.375	-0.111	-0.886	-0.351	-0.146	-0.270	-0.332	-0.519	-0.766	1.000	0.000	0.000	0.000
시군구	0.404	0.252	0.000	0.000	0.575	0.708	0.605	0.000	0.000	0.000	1.000	0.489	0.472
경기장 바닥재료(내야)	0.360	0.603	0.217	0.431	0.248	0.000	0.454	0.000	0.000	0.000	0.489	1.000	0.809
경기장 바닥재료(외야)	0.000	0.259	0.217	0.431	0.000	0.209	0.297	0.000	0.000	0.000	0.472	0.809	1.000

A simple visualization of nullity by column.

Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

First rows
Last rows

	연번	시도	시군구	시설명	소유기관	관리주체	부지면적	건축면적	연면적	경기장 바닥재료(내야)	경기장 바닥재료(외야)	경기장 중앙 길이	경기장 1,3루 길이	경기장 면적	관람석 좌석수	관람석 수용인원(명)	준공연도
0	1	경상남도	창원시	88올림픽야구장	창원시	창원시	15000	<NA>	13000.0	토사	토사	105	96	13000	200	200	2007
1	2	경상남도	창원시	마산종합운동장야구장	창원시	시설관리공단	23484	10327.0	18248.0	인조잔디	인조잔디	117	96	12780	14164	14164	1982
2	3	경상남도	창원시	진해공설운동장야구장	창원시	시설관리공단	27705	2500.0	2500.0	토사	토사	110	98	15000	1620	1620	1963
3	4	경상남도	창원시	대산면 사회인야구장(1)	창원시	창원시	11483	<NA>	<NA>	토사	토사	122	100	11483	<NA>	<NA>	2012
4	5	경상남도	창원시	대산면 사회인야구장(2)	창원시	창원시	11483	<NA>	<NA>	토사	토사	122	100	11483	<NA>	<NA>	2012
5	6	경상남도	창원시	대산면 사회인야구장(3)	창원시	창원시	7478	<NA>	<NA>	토사	토사	100	80	7478	<NA>	<NA>	2012
6	7	경상남도	창원시	대산면 사회인야구장(4)	창원시	창원시	7478	<NA>	<NA>	토사	토사	100	80	7478	<NA>	<NA>	2012
7	8	경상남도	창원시	대산면 사회인야구장(5)	창원시	창원시	7478	<NA>	<NA>	토사	토사	100	80	7478	<NA>	<NA>	2012
8	9	경상남도	통영시	통영야구장	통영시	위탁 (통영관광개발공사)	<NA>	95.3	95.3	인조잔디	인조잔디	120	100	30619	200	<NA>	2015
9	10	경상남도	사천시	사등야구장	사천시	사천시	9380	<NA>	<NA>	토사	토사	112	92	9167	200	200	2012

	연번	시도	시군구	시설명	소유기관	관리주체	부지면적	건축면적	연면적	경기장 바닥재료(내야)	경기장 바닥재료(외야)	경기장 중앙 길이	경기장 1,3루 길이	경기장 면적	관람석 좌석수	관람석 수용인원(명)	준공연도
14	15	경상남도	김해시	상동매리야구장(1)	김해시	상동면	67507	<NA>	<NA>	토사	토사	105	95	12434	<NA>	<NA>	2014
15	16	경상남도	김해시	상동매리야구장(2)	김해시	상동면	67507	<NA>	<NA>	토사	토사	105	95	11935	<NA>	<NA>	2015
16	17	경상남도	밀양시	가곡야구장	밀양시	체육시설사업소	11593	<NA>	<NA>	토사	잔디	105	110	11593	<NA>	<NA>	2013
17	18	경상남도	거제시	하청 야구장	거제시	위탁 (거제시야구연합회)	22580	217.0	210.0	인조잔디	인조잔디	100	93	18740	108	108	2008
18	19	경상남도	의령군	의령친환경야구장	의령군	의령군	126000	<NA>	<NA>	잔디	잔디	100	96	36000	<NA>	<NA>	2011
19	20	경상남도	함안군	함안 스포츠파크생활야구장(리틀)	함안군	문화체육시설사업소	4100	<NA>	4100.0	인조잔디	인조잔디	65	60	4100	88	88	2015
20	21	경상남도	창녕군	남지체육공원 야구장	창녕군	창녕군	2047	<NA>	2047.0	토사	토사	111	63	2047	<NA>	<NA>	2009
21	22	경상남도	남해군	남해스포츠파크인조야구장	남해군	체육시설사업소	15680	494.0	534.0	인조잔디	인조잔디	105	95	12665	1200	1200	2003
22	23	경상남도	합천군	합천야구장(A)	합천군	합천군	15600	<NA>	<NA>	인조잔디	토사	97	29	7026	<NA>	<NA>	2014
23	24	경상남도	합천군	합천야구장(B)	합천군	합천군	15600	<NA>	<NA>	인조잔디	토사	97	29	7026	<NA>	<NA>	2014

Overview

Variables

Common Values

Length

Common Values (Plot)

Common Values

Length

Most occurring characters

Most occurring categories

Most frequent character per category

Other Letter

Decimal Number

Uppercase Letter

Close Punctuation

Open Punctuation

Space Separator

Most occurring scripts

Most frequent character per script

Hangul

Common

Latin

Most occurring blocks

Most frequent character per block

Hangul

ASCII

Most occurring characters

Most occurring categories

Most frequent character per category

Other Letter

Space Separator

Most occurring scripts

Most frequent character per script

Hangul

Common

Most occurring blocks

Most frequent character per block

Hangul

ASCII

Most occurring characters

Most occurring categories

Most frequent character per category

Other Letter

Space Separator

Close Punctuation

Open Punctuation

Most occurring scripts

Most frequent character per script

Hangul

Common

Most occurring blocks

Most frequent character per block

Hangul

ASCII

Common Values

Length

Common Values (Plot)

Common Values

Length

Common Values (Plot)

Interactions

Correlations

Missing values

Sample